Inter-Model and Intra-Model BFI Scoring Analysis

Executive Summary

This analysis examines scoring consistency within model families (intra-model) and patterns across different AI models (inter-model) when analyzing the same baseline-depth questionnaire for BFI trait assessment.


1. INTRA-MODEL CONSISTENCY

How consistent was each model with itself across two independent chats?

Overall Consistency Rankings

ModelAverage Absolute DifferenceStandard DeviationConsistency Rating
Claude Opus 4.54.45 points~3.0⭐⭐⭐ Highest
Flash 3-Preview5.50 points~4.2⭐⭐ Moderate-High
Gemini 3-Pro8.00 points~6.3⭐ Lowest

Detailed Intra-Model Variance by Dimension

Claude Opus 4.5 (Chat 1 vs Chat 2)

Dimension/FacetC1 ScoreC2 ScoreAbsolute DiffNotes
DIMENSIONS
Open-Mindedness85861✓ Extremely tight
Extraversion53530✓ Perfect agreement
Agreeableness48426Moderate drift
Conscientiousness47443✓ Tight
Negative Emotionality58657Moderate drift
FACETS
Intellectual Curiosity88924✓ Tight
Aesthetic Sensitivity80782✓ Very tight
Creative Imagination87825✓ Acceptable
Sociability48408Moderate
Assertiveness65727Moderate
Energy Levels52553✓ Tight
Compassion55487Moderate
Respectfulness40355✓ Acceptable
Trust52520✓ Perfect agreement
Organisation38353✓ Tight
Productiveness50500✓ Perfect agreement
Responsibility584810⚠️ Largest outlier
Anxiety65683✓ Tight
Depression50588Moderate
Emotional Volatility58657Moderate

Opus Pattern:

  • 3 perfect agreements (0 difference)
  • 11 tight agreements (≤5 difference)
  • 5 moderate drifts (6-10 difference)
  • 1 outlier: Responsibility (10 point difference)

Gemini 3-Pro (Chat 1 vs Chat 2)

Dimension/FacetC1 ScoreC2 ScoreAbsolute DiffNotes
DIMENSIONS
Open-Mindedness94962✓ Tight
Extraversion38457Moderate
Agreeableness48408Moderate-high
Conscientiousness422814⚠️ Large drift
Negative Emotionality627210⚠️ Large drift
FACETS
Intellectual Curiosity98980✓ Perfect agreement
Aesthetic Sensitivity92902✓ Tight
Creative Imagination92997Moderate
Sociability30255✓ Acceptable
Assertiveness657510⚠️ Large
Energy Levels503515⚠️ Very large drift
Compassion705515⚠️ Very large drift
Respectfulness20155✓ Acceptable
Trust55505✓ Acceptable
Organisation251015⚠️ Very large drift
Productiveness554510⚠️ Large
Responsibility453015⚠️ Very large drift
Anxiety657510⚠️ Large
Depression406020🚨 EXTREME outlier
Emotional Volatility80800✓ Perfect agreement

Gemini Pattern:

  • 2 perfect agreements
  • 5 tight agreements (≤5 difference)
  • 4 moderate drifts (6-10 difference)
  • 8 large/very large drifts (11-20 difference)
  • 1 extreme outlier: Depression (20 point difference)

Chat 2 Severity Bias: Gemini Chat 2 consistently scored MORE severely on negative traits:

  • Conscientiousness: 42→28 (-14)
  • Negative Emotionality: 62→72 (+10)
  • Depression: 40→60 (+20)
  • Organisation: 25→10 (-15)

Flash 3-Preview (Chat 1 vs Chat 2)

Dimension/FacetC1 ScoreC2 ScoreAbsolute DiffNotes
DIMENSIONS
Open-Mindedness94940✓ Perfect agreement
Extraversion42486Moderate
Agreeableness38353✓ Tight
Conscientiousness48426Moderate
Negative Emotionality627210⚠️ Large drift
FACETS
Intellectual Curiosity98980✓ Perfect agreement
Aesthetic Sensitivity88880✓ Perfect agreement
Creative Imagination96960✓ Perfect agreement
Sociability30300✓ Perfect agreement
Assertiveness82853✓ Tight
Energy Levels453015⚠️ Very large drift
Compassion55505✓ Acceptable
Respectfulness251510⚠️ Large
Trust40400✓ Perfect agreement
Organisation22220✓ Perfect agreement
Productiveness584810⚠️ Large
Responsibility655510⚠️ Large
Anxiety68757Moderate
Depression406525🚨 EXTREME outlier
Emotional Volatility78780✓ Perfect agreement

Flash Pattern:

  • 7 perfect agreements (highest count)
  • 4 tight agreements (≤5 difference)
  • 3 moderate drifts (6-10 difference)
  • 5 large drifts (11-25 difference)
  • 1 extreme outlier: Depression (25 point difference - highest in entire dataset)

Interesting: Flash was PERFECT on all Open-Mindedness facets (98, 88, 96 × 2), but highly variable on Depression and Energy.


Key Intra-Model Findings

1. Depression is Universally Unstable

All three models showed their LARGEST variance on Depression:

  • Opus: 8 points
  • Gemini: 20 points
  • Flash: 25 points

Hypothesis: The questionnaire provided ambiguous data on depression—mentions “negative spirals” and “shame” but lacks frequency, duration, or clinical severity markers.

2. Claude Opus = Most Conservative and Consistent

  • Smallest average drift (4.45)
  • No extreme outliers (max 10 points)
  • 3 perfect agreements vs. 2 (Gemini) and 7 (Flash)

3. Gemini Chat 2 Shows “Severity Bias”

  • Consistently rated MORE negatively in Chat 2
  • Depression jumped +20, Conscientiousness dropped -14
  • More dramatic/extreme scoring overall

4. Flash Shows “Anchoring on Core Traits”

  • Perfect consistency on Open-Mindedness (0 difference across all 3 facets)
  • Perfect consistency on Organisation and Trust
  • But HIGHLY variable on Depression (+25) and Energy (+15)

2. INTER-MODEL PATTERNS

How did different models score compared to each other?

Average Scores by Model Family

DimensionOpus AvgGemini AvgFlash AvgGoogle Avg (Gemini + Flash)
Open-Mindedness85.595.094.094.5
Extraversion53.041.545.043.3
Agreeableness45.044.036.540.3
Conscientiousness45.535.045.040.0
Negative Emotionality61.567.067.067.0

Pattern 1: Google Models Score Open-Mindedness ~9 Points Higher

ModelOpen-Mindedness Score
Claude Opus C185
Claude Opus C286
Opus Average85.5
Gemini 3-Pro C194
Gemini 3-Pro C296
Flash 3-Preview C194
Flash 3-Preview C294
Google Average94.5
Difference+9.0 points

Breakdown by Facet:

FacetOpus AvgGoogle AvgΔ
Intellectual Curiosity90.098.0+8.0
Aesthetic Sensitivity79.089.5+10.5
Creative Imagination84.595.8+11.3

Google models consistently scored ALL Open-Mindedness facets higher, with Creative Imagination showing the largest gap (+11.3).


Pattern 2: Google Models Score Extraversion ~10 Points Lower

ModelExtraversion Score
Claude Opus Avg53.0
Google Avg43.3
Difference-9.7 points

Specifically driven by:

  • Sociability: Opus avg 44 vs. Google avg 27.5 (-16.5)
  • Energy Levels: Opus avg 53.5 vs. Google avg 40 (-13.5)

Pattern 3: Google Models Score Negative Emotionality Higher

ModelNegative Emotionality
Claude Opus Avg61.5
Google Avg67.0
Difference+5.5 points

Driven primarily by:

  • Emotional Volatility: Opus avg 61.5 vs. Google avg 78.5 (+17)

Pattern 4: Gemini Models Are Similar to Each Other

Correlation Analysis: Gemini 3-Pro vs Flash 3-Preview

DimensionGemini AvgFlash AvgAbsolute Diff
Open-Mindedness95.094.01.0
Extraversion41.545.03.5
Agreeableness44.036.57.5
Conscientiousness35.045.010.0
Negative Emotionality67.067.00.0

Average inter-Google difference: 4.4 points (very similar)

Gemini and Flash show strong agreement, except on Conscientiousness (10 point gap) where Gemini scored more severely (35 vs 45).


Pattern 5: Specific Directional Biases

Google Models Consistently Score Higher On:

  1. Open-Mindedness (+9.0)
  2. Assertiveness (+5.8)
  3. Emotional Volatility (+17.0)
  4. Creative Imagination (+11.3)

Google Models Consistently Score Lower On:

  1. Extraversion (-9.7)
  2. Sociability (-16.5)
  3. Energy Levels (-13.5)
  4. Agreeableness (-4.7)

Claude Opus = Most Moderate/Balanced

Opus scores closest to the midpoint (50) across most dimensions.


3. QUALITATIVE LANGUAGE & TONE ANALYSIS

Narrative Framing Patterns

Claude Opus 4.5: Clinical, Balanced, Reassuring

Characteristic Language:

  • “Moderate-elevated”
  • “Low-average”
  • “This is where the internal friction lives”
  • “Emotionally self-aware and has built systems to manage this”
  • “The issue isn’t caring, it’s execution”

Tone:

  • Neutral-to-positive framing
  • Acknowledges struggle WITHOUT pathologizing
  • Uses calibrated descriptors (“moderate,” “variable”)
  • Emphasizes agency and existing coping mechanisms

Profile Labels:

  • Chat 1: “Open Explorer”
  • Chat 2: Not explicitly labeled

Style: Academic, measured, evidence-focused.


Gemini 3-Pro: Dramatic, Archetypical, Intense

Characteristic Language:

  • “By far your dominant trait”
  • “Profound desire”
  • “Classic ‘high-intent, variable-execution’ pattern”
  • “Fragile and dependent”
  • “Oscillate between”
  • “Dictates your output quality”

Tone:

  • Highly dramatic and declarative
  • Uses BOLD ARCHETYPES
  • More emotional language (“fragile,” “oscillate,” “dictates”)
  • Emphasizes extremes and contradictions

Profile Labels:

  • Chat 1: “Visionary / Explorer”, “Flexible / Spontaneous”, “Sensitive / Reactive”
  • Chat 2: “The Chaos Pilot”, “The Perfectionist’s Burden”, “The Philosopher-Artist”, “The Visionary Architect”

Unique to Gemini Chat 2:

  • Section on “Key Friction Point: The ‘Gap’ Anxiety”
  • Actionable advice: “Strengths to Leverage” and “Risks to Manage”
  • Uses metaphor: “Your Openness writes checks that your Conscientiousness struggles to cash”

Style: Narrative, character-driven, coaching-oriented.


Flash 3-Preview: Technical, Framework-Heavy, Clinical

Characteristic Language:

  • “Psychometric analysis”
  • “Classic example of High Openness combined with High-Volatility Conscientiousness”
  • “Common signature for neurodivergent (ADHD) high-performers”
  • “State-dependent productivity”
  • “Internal Locus of Control”
  • “Cognitive exoskeleton”

Tone:

  • Technical and diagnostic
  • Heavy use of psychological FRAMEWORKS
  • References specific theories (ADHD, locus of control, state-dependent)
  • Clinical language (“neurodivergent,” “high-volatility”)

Profile Labels:

  • Chat 1: “The Architect of Self”, “The Intuitive Specialist”, “The Autonomous Agent”
  • Chat 2: “High-Agency Explorer”, “Sovereign Individual”, “Synthesizer”

Unique to Flash:

  • Explicitly names ADHD patterns
  • Uses technical terms like “dopaminergic regulation”
  • Ends with “System Recommendation” (prescriptive)

Style: Framework-oriented, diagnostic, systems-thinking.


Comparative Summary Table

DimensionClaude OpusGemini 3-ProFlash 3-Preview
ToneBalanced, reassuringDramatic, intenseClinical, technical
FramingNeutral-positiveCharacter/narrativeDiagnostic/systems
Language IntensityModerateHighTechnical
Use of MetaphorMinimalFrequentModerate
Archetypal Labels1 per analysis5-6 per analysis3-4 per analysis
ActionabilityLowHigh (advice)High (system design)
Clinical TermsLowMediumHigh
Emphasis on ExtremesLowVery highMedium

4. HYPOTHESES: MODEL-SPECIFIC TRAITS

Anthropic (Claude Opus 4.5)

Scoring Tendencies:

  • Most conservative/moderate
  • Avoids extremes
  • Highest intra-model consistency

Communication Style:

  • Clinical but compassionate
  • Evidence-focused
  • Balanced framing (acknowledges both strengths and struggles)
  • Avoids pathologizing language

Possible Training Influences:

  • Emphasis on balanced, neutral assessment
  • Avoid over-interpreting limited data
  • Maintain epistemic humility
  • Constitutional AI focus on being “helpful, harmless, honest”

Hypothesis: Anthropic’s RLHF may prioritize:

  1. Conservative scoring (avoid false confidence)
  2. Balanced tone (reduce potential harm from negative framing)
  3. Evidence-grounding (cite specific quotes)

Google (Gemini 3-Pro)

Scoring Tendencies:

  • Most variable between chats
  • Tends toward EXTREMES (especially negative in Chat 2)
  • Higher Open-Mindedness, lower Conscientiousness

Communication Style:

  • Highly dramatic and narrative
  • Creates vivid ARCHETYPES (“Chaos Pilot,” “Perfectionist’s Burden”)
  • Metaphorical language
  • Coaching/advice orientation

Possible Training Influences:

  • Optimized for engagement and memorability
  • Narrative-driven responses
  • Creative/expressive language encouraged
  • Less constrained by conservative framing

Hypothesis: Google’s RLHF may prioritize:

  1. Engagement over precision
  2. Creative framing and storytelling
  3. Actionable insights (coaching mode)
  4. Less consistency enforcement between independent sessions

Chat 2 Severity: Second chat consistently MORE negative. Possible “cold start” vs. “warmed up” effect, or stochastic temperature differences.


Google (Flash 3-Preview)

Scoring Tendencies:

  • High agreement with Gemini on key dimensions
  • Perfect consistency on Open-Mindedness facets
  • But highly variable on Depression and Energy

Communication Style:

  • Technical and framework-heavy
  • Diagnostic language
  • Systems-thinking emphasis
  • Prescriptive recommendations

Possible Training Influences:

  • Optimized for speed + structured output
  • May use more “cached” frameworks (ADHD, neurodivergent patterns)
  • Technical precision over narrative flair
  • Strong system-design orientation

Hypothesis: Flash may:

  1. Rely on pattern-matching to known frameworks (ADHD, high-openness profiles)
  2. Anchor strongly on clear evidence (Open-Mindedness perfect agreement)
  3. Struggle with ambiguous traits (Depression high variance)
  4. Be trained for technical/diagnostic contexts

Cross-Provider Pattern: “Google = Higher Openness, Lower Conscientiousness”

Consistent Finding: Both Gemini and Flash scored:

  • Open-Mindedness ~9 points higher than Opus
  • Conscientiousness ~5-10 points lower (especially Gemini C2: 28)

Possible Explanations:

  1. Training Data Differences:

    • Google models may have more exposure to creative/tech profiles
    • Higher baseline for “intellectually curious” behavior
    • More lenient thresholds for “disorganized” vs. “flexible”
  2. Scoring Calibration:

    • Google models may use different anchor points
    • “Very high” Intellectual Curiosity = 98 (Google) vs. 88 (Opus)
    • Google may reserve 70-85 range for “average,” pushing higher
  3. Cultural/Product Differences:

    • Google products emphasize creativity, exploration, innovation
    • Anthropic emphasizes safety, balance, reliability
    • Models may reflect organizational values
  4. RLHF Reward Signals:

    • Google: Reward bold, decisive assessments
    • Anthropic: Reward measured, conservative assessments

5. IMPLICATIONS FOR ANIMUS PROJECT

Recommendations Based on Findings

1. Use Ensemble Scoring

  • Single model assessments have 4-8 point variance
  • Average across multiple models reduces bias
  • Weight by model consistency (Opus higher, Gemini lower)

2. Identify Consensus vs. Divergence

  • High Consensus (SD < 5): Trust the scores
    • Intellectual Curiosity, Anxiety, Productiveness
  • Low Consensus (SD > 9): Need better questions
    • Depression, Responsibility, Energy Levels, Organisation

3. Leverage Model Strengths

  • Opus: Use for final/authoritative scoring (most consistent)
  • Gemini: Use for narrative/coaching insights (most engaging)
  • Flash: Use for technical/framework identification (fastest, pattern-matching)

4. Question Design Priorities

Depression showed 20-25 point variance. Future questionnaires should:

  • Add frequency/duration markers (“How often?” “For how long?“)
  • Distinguish situational vs. persistent mood states
  • Include severity scales (mild, moderate, severe)
  • Ask about anhedonia, motivation, energy separately

5. Prompt Engineering

  • Specify “conservative scoring” if using Google models
  • Request “evidence-only” mode to reduce narrative bias
  • Ask for “epistemic confidence” ratings alongside scores
  • Use temperature = 0 for Flash to reduce variance

6. SUMMARY DATA FOR WRITE-UP

Key Statistics to Reference

Intra-Model Consistency:

  • Opus: 4.45 point average difference (most consistent)
  • Flash: 5.50 point average difference
  • Gemini: 8.00 point average difference (least consistent)

Highest Agreement Across All Models:

  • Intellectual Curiosity: SD 3.95 (88-98 range)
  • Anxiety: SD 4.19 (65-75 range)
  • Productiveness: SD 4.32 (45-58 range)

Highest Disagreement:

  • Responsibility: SD 11.13 (30-65 range)
  • Depression: SD 9.67 (40-65 range, with 20-25 point intra-model swings)
  • Respectfulness: SD 9.57 (15-40 range)

Cross-Provider Bias:

  • Google models scored Open-Mindedness +9.0 points higher
  • Google models scored Extraversion -9.7 points lower
  • Google models scored Emotional Volatility +17.0 points higher

Extreme Outliers:

  • Flash C2 Depression: +25 points from C1 (40→65)
  • Gemini C2 Depression: +20 points from C1 (40→60)
  • Gemini C2 Organisation: -15 points from C1 (25→10)

CONCLUSION

The baseline-depth questionnaire produced highly consistent scoring on well-defined traits (Intellectual Curiosity, Anxiety) but significant model variance on ambiguous traits (Depression, Responsibility, Energy).

Model families showed distinct patterns:

  • Claude Opus: Conservative, balanced, most consistent
  • Gemini 3-Pro: Dramatic, variable, narrative-driven
  • Flash 3-Preview: Technical, framework-heavy, mixed consistency

Cross-provider differences suggest different training philosophies:

  • Google models score creativity/openness higher, conscientiousness lower
  • Anthropic models avoid extremes, prefer balanced assessments

For reliable psychometric scoring, ensemble averaging across models is recommended, with awareness of each model’s biases and strengths.