{"id":"W4205089058","doi":"10.4000/books.pum.14913","title":"Introduction","year":2002,"lang":"en","type":"book-chapter","venue":"Presses de l’Université de Montréal eBooks","topic":"Historical Medical Research and Treatments","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"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":[0.00006967295,0.0002834708,0.0004126191,0.0001723018,0.0001742338,0.00001273925,0.0001498044,0.0004106666,0.02171217],"category_scores_gemma":[0.0001288031,0.0002645772,0.0002204125,0.0000159235,0.0001340023,0.00002658295,0.0001643262,0.0006208309,0.0009854123],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002397332,"about_ca_system_score_gemma":0.00009327853,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002786474,"about_ca_topic_score_gemma":0.0000737088,"domain_scores_codex":[0.9984047,0.00002374893,0.0001738587,0.0004059684,0.0005401977,0.0004515029],"domain_scores_gemma":[0.9985418,0.00008276899,0.00008982821,0.000410719,0.0001053077,0.0007696176],"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":[0.001181656,0.0001362881,0.0001565394,0.0002682115,0.0008208565,0.007259561,0.000662446,0.000002188335,0.0005145501,0.01023502,0.8406454,0.1381172],"study_design_scores_gemma":[0.001252807,0.0004231712,0.0003082975,0.0001300376,0.0004946881,0.0003155011,0.000008087031,0.0000565287,0.0003116848,0.002652677,0.9938523,0.0001942029],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0001658498,0.005049541,0.0001178172,0.001897081,0.0001100616,0.0003566648,0.00002651117,0.0001255825,0.9921509],"genre_scores_gemma":[0.002096972,0.002068494,0.0003348633,0.0001727569,0.0007651217,0.000008021203,0.00006339991,0.00005818174,0.9944322],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1532069,"threshold_uncertainty_score":0.9999806,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01239934446837344,"score_gpt":0.2018165480828185,"score_spread":0.1894172036144451,"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."}}