{"id":"W6969376234","doi":"10.5683/sp3/jwbcfb","title":"Outcome Devaluation Protocol original dataset","year":2024,"lang":"en","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Outcome (game theory); Protocol (science); Devaluation; Data collection; Range (aeronautics)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001589056,0.0007492047,0.0006479161,0.0006320816,0.0001161482,0.0005678674,0.001216919,0.0005184401,0.002345193],"category_scores_gemma":[0.0004599752,0.0006463123,0.0001702253,0.0005572175,0.0001248374,0.0003828499,0.0004037757,0.000964854,0.1090782],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006236576,"about_ca_system_score_gemma":0.0006841873,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.04183565,"about_ca_topic_score_gemma":0.04083062,"domain_scores_codex":[0.9953868,0.0003046716,0.0009753129,0.001067499,0.001661774,0.0006039101],"domain_scores_gemma":[0.9964492,0.00008248915,0.0004388453,0.002627439,0.0001631275,0.0002389329],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001091347,0.0001191463,0.00001555684,0.00104983,0.0001309552,0.0002546994,0.000005579245,0.00000393809,0.00000278361,0.00004913924,0.9980552,0.0002040028],"study_design_scores_gemma":[0.0006365976,0.00009469369,0.00008326557,0.0001906726,0.0006625394,0.00005821885,0.000004991432,0.00003689224,0.000009160261,0.0002601941,0.9972504,0.0007123462],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[4.422718e-8,0.00001025335,0.00000178664,0.00007480683,0.0002139534,0.109084,0.8900827,0.0002679917,0.000264453],"genre_scores_gemma":[6.903588e-9,0.00000169662,0.0001379704,0.000191166,0.0007386642,0.2741773,0.7245575,0.0001435393,0.00005214461],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1655252,"threshold_uncertainty_score":0.9995988,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08757625922343869,"score_gpt":0.4307142210975005,"score_spread":0.3431379618740618,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}