{"id":"W2197437548","doi":"10.1371/journal.pone.0104859.t001","title":"Montreal Classification Scheme.","year":2015,"lang":"en","type":"paratext","venue":"Figshare","topic":"Artificial Intelligence in Healthcare","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Classification scheme; Computer science; Information retrieval","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","research_integrity","insufficient_payload"],"consensus_categories":["research_integrity","insufficient_payload"],"category_scores_codex":[0.0002403977,0.0004161344,0.0005737247,0.0001828272,0.0006979799,0.00002574418,0.0006709825,0.001952553,0.8638962],"category_scores_gemma":[0.003591628,0.0004013941,0.0001289642,0.0003215007,0.00001546898,0.0001441541,0.0003070408,0.002609034,0.8425128],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009361459,"about_ca_system_score_gemma":0.003387214,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001650265,"about_ca_topic_score_gemma":0.002517821,"domain_scores_codex":[0.9961771,0.0006031704,0.001042161,0.0006895838,0.0005927664,0.0008951736],"domain_scores_gemma":[0.9950812,0.0007350841,0.0008774381,0.0009777253,0.001876419,0.0004520598],"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":[0.00001919196,0.00001788345,0.00004460179,0.001437754,0.00001422486,0.000004634611,0.0007826761,0.00000399396,0.000003572778,0.00001976731,0.9941306,0.003521071],"study_design_scores_gemma":[0.00007570051,0.0000367447,0.0002269385,0.007183134,0.000007875825,7.699638e-7,0.001356611,0.0009906164,0.00001340451,0.000116339,0.9896325,0.0003593017],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"dataset","genre_scores_codex":[0.00002207335,0.002112372,9.893384e-7,0.0005336031,0.002401303,0.001508691,0.4504722,0.0001493435,0.5427994],"genre_scores_gemma":[0.0008754821,0.0000686924,0.00005429162,0.0009075064,0.004452157,0.0028994,0.6070482,0.0001285162,0.3835658],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.1592336,"threshold_uncertainty_score":0.9998438,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5196553185799689,"score_gpt":0.543044712144778,"score_spread":0.02338939356480907,"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."}}