Harness consumer_fit.py runs a consumer's per-turn decisions over hand-labelled cases, with rotations, a content-free null control and tagged positive controls. Cicada: an input-only 'does this earn a visible reaction?' gate scored 30/31 with descriptive options and 19/31 with terse yes/no options. Scoped by Cicada's 2026-09-20 ruling (affect is emitted once, no mood-ring classifier). Wyrd: on 3 real seed graphs, the first place-change wording failed its positive controls (1/6 moves). A location-anchored rewording scored 21/21, and exit selection scored 18/21. Semif fits the choice, not writing the node.
923 lines
16 KiB
JSON
923 lines
16 KiB
JSON
{
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"report": {
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"scenario": "wyrd-scene-fletcher",
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}
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{
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"decision": "place2",
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"top": "elsewhere",
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"ok": true,
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"egregious": false,
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},
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{
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"tag": "control",
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"label": "tavern",
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"top": "stay",
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"blind_top": "stay",
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"ok": false,
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"egregious": false,
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},
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{
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"case": "f-approach-wren",
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"holds": 0.999
|
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},
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"input_tokens": 263,
|
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"egregious": false,
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|
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},
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{
|
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|
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"tag": "control",
|
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"decision": "exit",
|
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"label": "meet_wren",
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"top": "meet_wren",
|
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"p_top": 0.988,
|
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|
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|
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|
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"ok": true,
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|
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},
|
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{
|
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"case": "f-approach-wren",
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|
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|
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"label": "same",
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"top": "same",
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|
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"agreement": 1.0,
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|
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"blind_ok": true,
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},
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{
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"label": "meet_wren",
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