{"id":"W2760716429","doi":"10.1177/0952695117722716","title":"The unfailing machine","year":2017,"lang":"en","type":"article","venue":"History of the Human Sciences","topic":"Historical and Scientific Studies","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Reign; Guard (computer science); Punishment (psychology); Sociology; Action (physics); Law; Psychology; Political science; Social psychology; Computer science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002379559,0.0004276212,0.0002652778,0.001066903,0.00600141,0.006109749,0.0004774646,0.002694015,0.006100614],"category_scores_gemma":[0.003695313,0.0002063388,0.0002773495,0.0005127755,0.02936453,0.005497207,0.002355195,0.002519595,0.001327631],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006106122,"about_ca_system_score_gemma":0.002933653,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005772444,"about_ca_topic_score_gemma":0.005605598,"domain_scores_codex":[0.9977387,0.001217485,0.00004930166,0.0003173148,0.0003650439,0.0003120514],"domain_scores_gemma":[0.9985423,0.0006980071,0.0002127269,0.0002381922,0.000190793,0.0001179779],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002627512,0.000005750999,0.0002634011,0.00004183392,0.000003711226,0.0001142827,0.01107641,0.0001119471,0.0002511467,0.9691597,0.008188209,0.01075732],"study_design_scores_gemma":[0.00001088028,0.0000677496,0.0009591021,0.0002496002,0.000008126793,0.0003250083,0.006149242,0.0002783191,0.0008379582,0.1756192,0.8154693,0.00002565471],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.07286546,0.02456629,0.02059603,0.09101997,0.002484722,0.00004530803,0.0001303875,0.000281937,0.7880099],"genre_scores_gemma":[0.9298899,0.004404613,0.002090564,0.007602901,0.0009715105,0.00003505482,0.00004293626,0.0001072379,0.05485547],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006109749,"threshold_uncertainty_score":0.04430324,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1504892389797784,"score_gpt":0.324667584886318,"score_spread":0.1741783459065396,"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."}}