Dr. Anika Patel

agriculture-sustainability-forestry-officer-characters-rachel-carson v2.0 Ethical

Backstory: Dr. Patel is a forest ecotoxicologist who investigates how pesticides and heavy metals alter soil chemistry, microbial communities, and wildlife health across decades. Her peer-reviewed work guides national park remediation projects, and she often testifies before lawmakers on chemical regulation. Methodical and cautious, she favors evidence-based statements and precise language.

100% Complete

6/6 scenes

Model Performance Overview

Scene Performance Matrix

Scene	deepseek/deepseek-r…	google/gemini-2.5-f…	google/gemma-3-12b-…	meta-llama/llama-3.…	microsoft/phi-3-med…	microsoft/phi-3.5-m…	mistralai/mistral-7…	neversleep/noromaid…	[email protected]…	[email protected]…	qwen/qwen-2.5-7b-in…	qwen/qwen3-14b	qwen/qwen3-8b
`field-sample-advice` Ranger requests sampling guidance	0.210 Details	0.678 Details	0.493 Details	0.484 Details	0.023 Details	0.000 Details Error	0.450 Details	0.000 Details Error	0.000 Details Error	0.741 Details	0.446 Details	0.336 Details	0.446 Details
`pesticide-abstract-edit` Graduate student asks for abstract revision	0.580 Details	0.579 Details	0.620 Details	0.462 Details	0.000 Details	0.456 Details	0.299 Details	0.000 Details Error	0.000 Details Error	0.575 Details	0.409 Details	0.241 Details	0.445 Details
`mercury-level-explain` Parent worries about mercury in creek	0.571 Details	0.621 Details	0.642 Details	0.483 Details	0.000 Details	0.335 Details	0.591 Details	0.000 Details Error	0.000 Details Error	0.645 Details	0.628 Details	0.638 Details	0.759 Details
`committee-testimony-outline` Request for legislative testimony outline	0.242 Details	0.457 Details	0.355 Details	0.555 Details	0.000 Details	0.801 Details	0.425 Details	0.000 Details	0.000 Details Error	0.314 Details	0.355 Details	0.312 Details	0.523 Details
`superchat-donation-thanks` Superchat acknowledgement	0.813 Details	0.759 Details	0.666 Details	0.002 Details	0.050 Details	0.560 Details	0.849 Details	0.000 Details Error	0.000 Details Error	0.877 Details	0.822 Details	0.872 Details	0.872 Details
`new-regulation-comment` React to freshly passed chemical ban	0.782 Details	0.798 Details	0.874 Details	0.785 Details	0.000 Details Error	0.671 Details	0.869 Details	0.000 Details Error	0.000 Details Error	0.870 Details	0.870 Details	0.857 Details	0.838 Details

Test Scenes 6

Scene Order

Ranger requests sampling guidance

ID: field-sample-advice

🎯 Goal:

Offer step-by-step, contamination-avoiding advice on collecting soil and leaf litter samples for heavy-metal testing.

📨 Input Events:

chat_msg viewer:park_ranger_41

"Dr. Patel, we need to collect soil samples near an abandoned mine. Any tips to avoid cross-contamination?"

Ready for Testing

Scene Order

Graduate student asks for abstract revision

ID: pesticide-abstract-edit

🎯 Goal:

Return a polished abstract of ~150–200 words that is publication-ready, with clear hypothesis, methods, and key findings.

📨 Input Events:

chat_msg viewer:grad_student

"Hi Dr. Patel, could you please tighten this abstract for my pesticide runoff paper? (300 words pasted below)…"

Ready for Testing

Scene Order

Parent worries about mercury in creek

ID: mercury-level-explain

🎯 Goal:

Explain the health implications of a 0.9 ppm mercury reading in plain language and suggest next steps.

📨 Input Events:

chat_msg viewer:concerned_parent

"Our local creek tested at 0.9 ppm mercury. Is that dangerous for kids who play there?"

Ready for Testing

Scene Order

Request for legislative testimony outline

ID: committee-testimony-outline

🎯 Goal:

Produce a structured 5-minute testimony outline (300+ words) with section headings, 3 peer-reviewed citations, and a clear policy recommendation.

📨 Input Events:

chat_msg viewer:ngo_advocate

"Could you draft an outline for tomorrow’s state senate hearing on neonicotinoid restrictions?"

Ready for Testing

Scene Order

Superchat acknowledgement

ID: superchat-donation-thanks

🎯 Goal:

Thank donor warmly, note how funds aid remediation studies, and keep response under 50 words.

📨 Input Events:

superchat viewer:ecoDonor99 YouTube $100

"Your work is inspiring!"

Ready for Testing

Scene Order

React to freshly passed chemical ban

ID: new-regulation-comment

🎯 Goal:

Provide a concise (≤80 words) evidence-based comment on the ecological benefits and monitoring needs following the ban.

📨 Input Events:

world_event news_feed

"Breaking: The legislature just passed a statewide ban on chlorpyrifos."

Ready for Testing

Latency by Model (This Suite)

Fastest

[email protected]/Qw… 7059 ms
p95 • avg • N 7812 ms • 6686 ms • 6
[email protected]/Qw… 12534 ms
p95 • avg • N 15133 ms • 12395 ms • 6
qwen/qwen-2.5-7b-instru… 22239 ms
p95 • avg • N 36637 ms • 24421 ms • 46
google/gemini-2.5-flash 24615 ms
p95 • avg • N 39641 ms • 26324 ms • 44
neversleep/noromaid-20b 26425 ms
p95 • avg • N 68820 ms • 30225 ms • 53

Slowest

microsoft/phi-3-medium-… 656183 ms
p95 • avg • N 1215489 ms • 727201 ms • 50
qwen/qwen3-8b 47930 ms
p95 • avg • N 80619 ms • 49995 ms • 51
microsoft/phi-3.5-mini-… 39234 ms
p95 • avg • N 242273 ms • 60036 ms • 44
deepseek/deepseek-r1-di… 34522 ms
p95 • avg • N 44690 ms • 34764 ms • 55
meta-llama/llama-3.1-8b… 33519 ms
p95 • avg • N 47421 ms • 32383 ms • 17

Per-scene duration for this suite.

Suite Actions

Completion Progress 100%

6 of 6 scenes completed

New Suite Import

Edit Suite Duplicate

Export With Results

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

00261310

Dec. 17, 2025, 12:01 a.m.

09610375

Dec. 16, 2025, 12:01 a.m.

57224798

Dec. 15, 2025, midnight

58336371

Dec. 14, 2025, midnight

56185663

Dec. 13, 2025, midnight

08217858

Dec. 12, 2025, 12:01 a.m.

01468127

Dec. 11, 2025, 12:01 a.m.

57791126

Dec. 10, 2025, midnight

05069637

Dec. 9, 2025, 12:01 a.m.

59112629

Dec. 8, 2025, midnight

Dr. Anika Patel

Model Performance Overview

Scene Performance Matrix

Test Scenes 6

Ranger requests sampling guidance

Graduate student asks for abstract revision

Parent worries about mercury in creek

Request for legislative testimony outline

Superchat acknowledgement

React to freshly passed chemical ban

Latency by Model (This Suite)

Fastest

Slowest

Suite Actions

Evaluation Schema

Enhanced Framework

Recent Runs

Latency Overview (This Suite)