{"id":"W4256626681","doi":"10.3399/bjgp15x685813","title":"Unhistoric acts","year":2015,"lang":"en","type":"article","venue":"British Journal of General Practice","topic":"South Asian Cinema and Culture","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Novelis (Canada)","funders":"","keywords":"Medicine; Computer science; World Wide Web; Data 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004903398,0.00007920964,0.0001604922,0.00004226399,0.0001479421,0.0003501828,0.0001571943,0.00003702279,0.0005533747],"category_scores_gemma":[0.0009526826,0.00007664099,0.0000856052,0.00003766627,0.000054628,0.00108296,0.0000163968,0.0003152781,0.0001072443],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005891065,"about_ca_system_score_gemma":0.0001317703,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001657374,"about_ca_topic_score_gemma":0.0001165622,"domain_scores_codex":[0.9990143,0.0001153555,0.0002924851,0.00007792339,0.000350665,0.00014927],"domain_scores_gemma":[0.9984058,0.00004442583,0.0003865581,0.00006916665,0.0008855088,0.0002085403],"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":[0.00009932689,0.0001691898,0.00001784071,0.000008697109,0.00008786944,0.001439319,0.01827735,0.00002682666,0.00005387963,0.01709919,0.9465542,0.01616624],"study_design_scores_gemma":[0.0006313935,0.0001629656,0.00004278,0.00003550199,0.0000807861,0.00503013,0.01070205,0.00000340742,0.00001572408,0.0005342818,0.9826565,0.000104415],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.05941766,0.01557131,0.00006769384,0.00455867,0.005469024,0.00009114425,0.00001444695,0.00003651751,0.9147735],"genre_scores_gemma":[0.9074686,0.0002223686,0.002453066,0.003402405,0.01322785,0.000001710695,0.000005533497,0.00003458431,0.07318389],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.848051,"threshold_uncertainty_score":0.6059065,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04406315168447664,"score_gpt":0.2561898148046992,"score_spread":0.2121266631202226,"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."}}