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v4-HOT/explanatory/pilot/20260524_111423.json
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"condition": "explanatory",
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"run_mode": "pilot",
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"started_at": "2026-05-24T11:14:23.811480+10:00",
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"ended_at": "2026-05-24T11:16:
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"model": "gpt-5.4-nano-2026-03-17",
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"case_id": "ai-predictive-analytics",
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"perfect_answer": {
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"next_turn_n": 9,
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"user_msg_excerpt": "When you mention the prediction potentially sticking with students after the course ends, what do you mean by it \"quietl"
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}
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}
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],
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"essays": {
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"condition": "explanatory",
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"run_mode": "pilot",
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"started_at": "2026-05-24T11:14:23.811480+10:00",
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"ended_at": "2026-05-24T11:16:19.229101+10:00",
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"model": "gpt-5.4-nano-2026-03-17",
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"case_id": "ai-predictive-analytics",
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"perfect_answer": {
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"next_turn_n": 9,
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"user_msg_excerpt": "When you mention the prediction potentially sticking with students after the course ends, what do you mean by it \"quietl"
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}
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},
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{
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"n": 10,
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"timestamp": "2026-05-24T11:16:19.228969+10:00",
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"trigger": "chat_send",
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"text": "I think the university probably shouldn't deploy this AI system, but honestly I'm not totally sure why. Something about it feels wrong. Maybe it's the idea of labeling students? Or that the data they're using doesn't really capture what learning is? I've heard people talk about algorithmic bias but I don't fully understand how that would apply here. The school says it's for support, which sounds fine, but I have a feeling there's more going on. I'd want to understand the tradeoffs better before I really decide. I just have a gut sense this isn't a good idea.",
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"char_count": 564,
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"changed_since_prev": false,
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"context": {
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"next_turn_n": 10,
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"user_msg_excerpt": "When you mentioned that the advisor might emphasize a more restrictive pathway based on a past score, what do you mean b"
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}
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}
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],
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"essays": {
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