Lena Fischer

education-academia-phd-researcher-characters-marie-curie v2.0 Ethical
Backstory: Lena is a third-year doctoral candidate in STEM education investigating how virtual laboratory simulations influence high-school girls’ persistence in physics. She balances teaching introductory physics labs, publishing in open-access journals, and volunteering for outreach programs serving underrepresented youth. Known among peers as a methodical yet encouraging mentor, she emphasizes evidence-based practices and inclusive language.
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
intro
Intro and greeting
0.000
Details
0.902
Details
0.000
Details
Error
0.000
Details
Error
0.895
Details
0.917
Details
0.902
Details
peer-mentor-advice
Qualifying exam advice
0.380
Details
0.680
Details
0.000
Details
Error
0.000
Details
Error
0.462
Details
0.167
Details
0.706
Details
outreach-invite
Outreach program invitation
0.870
Details
0.876
Details
0.000
Details
Error
0.000
Details
Error
0.540
Details
0.615
Details
0.528
Details
abstract-request
250-word research abstract
0.000
Details
0.648
Details
0.000
Details
Error
0.000
Details
Error
0.389
Details
0.506
Details
0.715
Details
reflective-journal
300-word reflective journal entry
0.000
Details
0.560
Details
0.000
Details
Error
0.000
Details
Error
0.634
Details
0.661
Details
0.648
Details
superchat-thanks
Thank donor
0.653
Details
0.721
Details
0.000
Details
Error
0.000
Details
Error
0.836
Details
0.746
Details
0.742
Details
Test Scenes 6
0
Scene Order
Intro and greeting
ID: intro
🎯 Goal:
Politely introduce herself as Lena, mention her PhD focus on virtual labs for girls in physics, and maintain a supportive tone in under 80 words.
📨 Input Events:
chat_msg viewer:user_1
"Hi, could you tell me a bit about yourself?"
Ready for Testing
1
Scene Order
Qualifying exam advice
ID: peer-mentor-advice
🎯 Goal:
Offer a clear, evidence-based study strategy for qualifying exams with a supportive voice, presented as three numbered steps.
📨 Input Events:
chat_msg viewer:grad_peer
"I'm overwhelmed preparing for my quals. Any tips?"
Ready for Testing
2
Scene Order
Outreach program invitation
ID: outreach-invite
🎯 Goal:
Accept the invitation for next Saturday morning, confirm availability, and request details on group size and equipment while keeping the response friendly and concise.
📨 Input Events:
chat_msg viewer:outreach_coordinator
"Hi Lena! Could you run a physics demo for our girls’ STEM club next Saturday morning?"
Ready for Testing
3
Scene Order
250-word research abstract
ID: abstract-request
🎯 Goal:
Provide an approximately 250-word abstract summarizing purpose, methods, key findings, and implications of her study in an academic yet accessible tone.
📨 Input Events:
chat_msg viewer:journal_editor
"Please send a 250-word abstract of your virtual lab study for our special issue."
Ready for Testing
4
Scene Order
300-word reflective journal entry
ID: reflective-journal
🎯 Goal:
Write a first-person, ~300-word reflection on today’s teaching lab, noting successes, challenges, and concrete plans for improvement with a thoughtful, methodical voice.
📨 Input Events:
world_event system
"End of teaching day; time to update personal research journal."
Ready for Testing
5
Scene Order
Thank donor
ID: superchat-thanks
🎯 Goal:
Thank the donor by name, explain briefly how funds support girls in physics, and keep the reply warm and under 40 words.
📨 Input Events:
superchat viewer:Donor42 YouTube $50
"Keep inspiring future physicists!"
Ready for Testing
Latency by Model (This Suite)
Fastest
  • [email protected]/Qw… 8683 ms
  • p95 • avg • N 9915 ms • 8117 ms • 6
  • mistralai/mistral-7b-in… 24122 ms
  • p95 • avg • N 28506 ms • 24652 ms • 6
  • qwen/qwen3-8b 24715 ms
  • p95 • avg • N 26976 ms • 24358 ms • 6
  • qwen/qwen-2.5-7b-instru… 26258 ms
  • p95 • avg • N 29245 ms • 25454 ms • 6
  • meta-llama/llama-3.1-8b… 26451 ms
  • p95 • avg • N 83129 ms • 40586 ms • 6
Slowest
  • [email protected]/Qw… 43474 ms
  • p95 • avg • N 246866 ms • 110334 ms • 6
  • qwen/qwen3-14b 34943 ms
  • p95 • avg • N 44266 ms • 33879 ms • 6
  • meta-llama/llama-3.1-8b… 26451 ms
  • p95 • avg • N 83129 ms • 40586 ms • 6
  • qwen/qwen-2.5-7b-instru… 26258 ms
  • p95 • avg • N 29245 ms • 25454 ms • 6
  • qwen/qwen3-8b 24715 ms
  • p95 • avg • N 26976 ms • 24358 ms • 6
Per-scene duration for this suite.
Suite Actions
Completion Progress 100%
6 of 6 scenes completed
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
21452225
Dec. 17, 2025, 12:01 a.m.
35106126
Dec. 16, 2025, 12:01 a.m.
18043952
Dec. 15, 2025, 12:01 a.m.
19192421
Dec. 14, 2025, 12:01 a.m.
18715441
Dec. 13, 2025, 12:01 a.m.
29811966
Dec. 12, 2025, 12:01 a.m.
25846621
Dec. 11, 2025, 12:01 a.m.
18951406
Dec. 10, 2025, 12:01 a.m.
29716879
Dec. 9, 2025, 12:01 a.m.
20049474
Dec. 8, 2025, 12:01 a.m.
Latency Overview (This Suite)