{"id":"W2621063853","doi":"10.3899/jrheum.170238","title":"Slow Advances in Supply of Canadian Rheumatologists","year":2017,"lang":"en","type":"letter","venue":"The Journal of Rheumatology","topic":"Musculoskeletal Disorders and Rehabilitation","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Rheumatology; Workforce; Internal medicine; Family medicine; Economic growth","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":[0.002958531,0.0004094662,0.0005816289,0.001758427,0.008035472,0.003793459,0.003065844,0.007147968,0.01777113],"category_scores_gemma":[0.02428672,0.0004372512,0.0006832031,0.002475814,0.002146027,0.002411832,0.001843013,0.01001967,0.002951642],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.08160408,"about_ca_system_score_gemma":0.06624094,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9141681,"about_ca_topic_score_gemma":0.9422758,"domain_scores_codex":[0.9920194,0.0003707804,0.0003780149,0.0006415236,0.004774684,0.001815596],"domain_scores_gemma":[0.97281,0.003328275,0.001665658,0.0004521775,0.01505414,0.006689679],"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":[0.00005335504,0.00001978085,0.0075845,0.0002640923,0.0000221692,0.001079715,0.0009047882,0.0001390296,0.0002578794,0.007156236,0.9418612,0.04065726],"study_design_scores_gemma":[0.00006049959,0.00003672044,0.02149469,0.0007821412,0.00003437622,0.002641779,0.003135765,0.0008535142,0.0002583743,0.003736554,0.9668629,0.0001027638],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.004857615,0.004805615,0.0003206211,0.9645751,0.006130025,0.00001759928,0.0007875128,0.00009025947,0.01841563],"genre_scores_gemma":[0.1760644,0.01159285,0.001724069,0.7662253,0.01507978,0.00005872595,0.001149515,0.0001705342,0.02793484],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.9183959,"threshold_uncertainty_score":0.5920818,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0117923175799593,"score_gpt":0.2744986067985027,"score_spread":0.2627062892185434,"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."}}