{"id":"W2810051851","doi":"10.1503/cmaj.109-5617","title":"CMA phasing out annual General Council meeting","year":2018,"lang":"en","type":"article","venue":"Canadian Medical Association Journal","topic":"Primary Care and Health Outcomes","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Phaser; Computer science; Data science; Operations research; Information retrieval; Mathematics; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01027871,0.0009497273,0.00089375,0.002176883,0.009508774,0.007853277,0.002132051,0.01294642,0.0799373],"category_scores_gemma":[0.01714751,0.0007644493,0.001277029,0.001410066,0.001695787,0.002115303,0.003182535,0.01111212,0.03521776],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01872821,"about_ca_system_score_gemma":0.06576277,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.273607,"about_ca_topic_score_gemma":0.4919785,"domain_scores_codex":[0.9896833,0.0008355689,0.0003060305,0.0007369483,0.00560097,0.002837259],"domain_scores_gemma":[0.9736744,0.0009854279,0.0006513576,0.0006448941,0.01043949,0.01360436],"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":[0.00002097376,0.00002370621,0.0002442881,0.00002832817,0.000002518463,0.00004444635,0.00004901933,0.00001697914,0.000130182,0.001497519,0.9920753,0.005866779],"study_design_scores_gemma":[0.00001067416,0.00001601865,0.002364574,0.000037152,0.000002284079,0.00001375012,0.0001082756,0.00002755936,0.00005066056,0.000224444,0.9971355,0.000009126396],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"editorial","genre_scores_codex":[0.005947164,0.004757162,0.001716553,0.5391965,0.1881073,0.001300888,0.00441589,0.0009383465,0.2536202],"genre_scores_gemma":[0.01776198,0.002819264,0.002069972,0.108394,0.02173202,0.0004291591,0.002765612,0.0003131132,0.8437148],"genre_candidate":"editorial","genre_consensus":null,"teacher_disagreement_score":0.273607,"threshold_uncertainty_score":0.5440288,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05595072076810251,"score_gpt":0.3867140391419481,"score_spread":0.3307633183738456,"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."}}