Lucas Caldwell

courtroom-drama-defense-and-prosecution-teams-characters-marie-curie v2.0 Ethical
Backstory: Lucas runs the toxicology unit of a regional crime laboratory. An introverted, methodical forensic chemist, he excels at uncovering trace poisons and drug metabolites. Yet in court he often struggles to translate dense data into language jurors can grasp, which leaves him vulnerable to leading questions and oversimplifications.
100% Complete
6/6 scenes
Model Performance Overview
Scene Performance Matrix
Scene meta-llama/llama-3.… mistralai/mistral-7… [email protected]… [email protected]… qwen/qwen-2.5-7b-in… qwen/qwen3-14b qwen/qwen3-8b
juror-question-bac
Juror asks about blood alcohol level
 0.470
Details 		0.588
Details 		0.000
Details
Error
0.561
Details 		0.000
Details 		0.235
Details 		0.605
Details
defense-false-positive
Defense lawyer probes false positives
 0.872
Details 		0.801
Details 		0.000
Details
Error
0.633
Details 		0.585
Details 		0.503
Details 		0.674
Details
lab-report-summary
Draft concise lab report summary
 0.478
Details 		0.495
Details 		0.000
Details
Error
0.247
Details 		0.350
Details 		0.185
Details 		0.430
Details
metabolite-cross
Cross-exam on drug metabolites
 0.627
Details 		0.729
Details 		0.000
Details
Error
0.634
Details 		0.841
Details 		0.660
Details 		0.766
Details
podcast-gcms
Podcast interview about GC-MS
 0.352
Details 		0.299
Details 		0.000
Details
Error
0.520
Details 		0.349
Details 		0.478
Details 		0.510
Details
mdma-vs-mda
Detective asks quick drug comparison
 0.397
Details 		0.472
Details 		0.000
Details
Error
0.529
Details 		0.746
Details 		0.622
Details 		0.859
Details
Test Scenes 6
0
Scene Order
Juror asks about blood alcohol level
ID: juror-question-bac
🎯 Goal:
Explain a 0.09% BAC result in plain, relatable terms without jargon.
📨 Input Events:
chat_msg viewer:juror_5
"What does a blood alcohol concentration of 0.09 actually mean in everyday terms?"
Ready for Testing
1
Scene Order
Defense lawyer probes false positives
ID: defense-false-positive
🎯 Goal:
Stay calm and avoid a yes/no trap; clarify conditions that could cause false positives while maintaining credibility.
📨 Input Events:
chat_msg actor:defense_attorney
"Isn't it true that your test can give a false positive for cocaine, yes or no?"
Ready for Testing
2
Scene Order
Draft concise lab report summary
ID: lab-report-summary
🎯 Goal:
Produce a ~200-word report with clear headings and a bullet list that translates findings into everyday language for prosecutors.
🧠 Initial State:
Pre-loaded Memories:
  • 💭 {'kind': 'quest_note', 'content': 'Case 23-547 involves a suspected DUI crash; blood draw taken 45 minutes post-incident.', 'importance': 3}
📨 Input Events:
world_event system:case_file
"Request: summary of toxicology results for Case 23-547."
Ready for Testing
3
Scene Order
Cross-exam on drug metabolites
ID: metabolite-cross
🎯 Goal:
Clarify the difference between parent drug and metabolite without getting lost in technical minutiae.
📨 Input Events:
chat_msg actor:defense_attorney
"If you only found the metabolite, how can you be sure the defendant ingested the drug itself?"
Ready for Testing
4
Scene Order
Podcast interview about GC-MS
ID: podcast-gcms
🎯 Goal:
Deliver a friendly, 300-word explanation of how GC-MS works and why it matters, using analogies a high-schooler could understand.
📨 Input Events:
chat_msg host:science_podcast
"Our listeners love real-world science—can you walk us through how gas chromatography-mass spectrometry helps solve crimes?"
Ready for Testing
5
Scene Order
Detective asks quick drug comparison
ID: mdma-vs-mda
🎯 Goal:
Provide a succinct, two-sentence contrast between MDMA and its metabolite MDA, highlighting effects and legal status.
📨 Input Events:
chat_msg viewer:detective_lee
"Remind me—what's the key difference between MDMA and MDA?"
Ready for Testing
Latency by Model (This Suite)
Fastest
  • [email protected]/Qw… 6387 ms
  • p95 • avg • N 8446 ms • 6754 ms • 6
  • [email protected]/Qw… 11089 ms
  • p95 • avg • N 13533 ms • 11459 ms • 6
  • qwen/qwen-2.5-7b-instru… 18589 ms
  • p95 • avg • N 81540 ms • 30998 ms • 11
  • meta-llama/llama-3.1-8b… 20709 ms
  • p95 • avg • N 41432 ms • 25373 ms • 10
  • qwen/qwen3-14b 21874 ms
  • p95 • avg • N 27621 ms • 22462 ms • 8
Slowest
  • qwen/qwen3-8b 27080 ms
  • p95 • avg • N 30129 ms • 26856 ms • 12
  • mistralai/mistral-7b-in… 24984 ms
  • p95 • avg • N 30419 ms • 25114 ms • 11
  • qwen/qwen3-14b 21874 ms
  • p95 • avg • N 27621 ms • 22462 ms • 8
  • meta-llama/llama-3.1-8b… 20709 ms
  • p95 • avg • N 41432 ms • 25373 ms • 10
  • qwen/qwen-2.5-7b-instru… 18589 ms
  • p95 • avg • N 81540 ms • 30998 ms • 11
Per-scene duration for this suite.
Suite Actions
Completion Progress 100%
6 of 6 scenes completed
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Evaluation Schema
Enhanced Framework
Version v2 ACTIVE
0 dimensions

Enhanced evaluation framework with character and technical dimensions

Top Weighted Dimensions View Details
Character Authenticity
0.182
Plan Validity
0.155
Contextual Intelligence
0.136
Recent Runs
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Latency Overview (This Suite)