{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002059356,0.0005029852,0.0003178335,0.001368963,0.009361168,0.005151098,0.0008695198,0.002612339,0.03790655],"category_scores_gemma":[0.005842301,0.0003095044,0.0002200677,0.001691566,0.008655925,0.002894376,0.003376765,0.006673719,0.009391796],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003563738,"about_ca_system_score_gemma":0.002041168,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007161873,"about_ca_topic_score_gemma":0.02575953,"domain_scores_codex":[0.9971702,0.001078312,0.0001323727,0.0003393082,0.0006813556,0.0005984972],"domain_scores_gemma":[0.9977533,0.0008590067,0.0001955588,0.0005220507,0.0003987547,0.0002712381],"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":[0.00005061879,0.00002887306,0.0005600048,0.0001533214,0.000005914835,0.0003234374,0.07345763,0.00002270103,0.0005958375,0.7470051,0.1580712,0.01972542],"study_design_scores_gemma":[0.000003987688,0.000007627163,0.0008574076,0.00007476306,0.000002783377,0.000129338,0.008323799,0.00001891002,0.0002272721,0.006414278,0.9839331,0.000006827972],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01451326,0.001682108,0.001161199,0.008870958,0.00375432,0.00005740344,0.0003119895,0.00009628516,0.9695525],"genre_scores_gemma":[0.1940762,0.000964427,0.0007281731,0.008248669,0.001140327,0.0001193737,0.0002604052,0.0002273488,0.7942351],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03790655,"threshold_uncertainty_score":0.1268101,"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."}}