{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002483499,0.001586883,0.001563726,0.01106813,0.001673008,0.003743338,0.003550346,0.001885563,0.4637135],"category_scores_gemma":[0.01532145,0.0006340729,0.001493816,0.01599302,0.0008298683,0.004237366,0.002104517,0.002601382,0.3138048],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004366943,"about_ca_system_score_gemma":0.01062463,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07319061,"about_ca_topic_score_gemma":0.0799422,"domain_scores_codex":[0.9971631,0.0004294673,0.0006003799,0.0004919628,0.0007098087,0.0006052218],"domain_scores_gemma":[0.9902119,0.001053593,0.0007828049,0.0008238236,0.006024498,0.001103298],"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":[0.00005189608,0.00001015187,0.001236194,0.0002567057,0.00001354966,0.00003186267,0.00005534988,0.00009614199,0.00003589187,0.004839174,0.9675811,0.02579191],"study_design_scores_gemma":[0.00004248939,0.00002266792,0.005480198,0.0004863345,0.00001718174,0.0001270669,0.000149033,0.0001578624,0.00006460916,0.003764494,0.9896678,0.0000203567],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0009908436,0.005301384,0.003923808,0.007849334,0.003673216,0.0008820161,0.7564043,0.001193705,0.2197815],"genre_scores_gemma":[0.01159644,0.008145571,0.009441304,0.002415439,0.001092611,0.001566903,0.6950517,0.001362127,0.269328],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4637135,"threshold_uncertainty_score":0.7649476,"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."}}