{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007578123,0.0002105334,0.001214846,0.001235102,0.00007156247,0.000007046373,0.0005088745,0.0006023803,0.00009901066],"category_scores_gemma":[0.0009049186,0.0001239111,0.0002652961,0.0001756237,0.0005785389,0.0001106316,0.00002725523,0.001597046,0.00001062032],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008158803,"about_ca_system_score_gemma":0.000784454,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.05774365,"about_ca_topic_score_gemma":0.06354847,"domain_scores_codex":[0.997979,0.0002900304,0.0009572538,0.0001275822,0.0002925947,0.0003534989],"domain_scores_gemma":[0.9972611,0.0005142165,0.001363139,0.0004988432,0.0002736863,0.00008903312],"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":[0.0002138541,0.00005110448,0.2526416,0.002003397,0.0001625287,0.0002650948,0.0007179778,0.00001359828,0.00001658031,0.0002462238,0.7396891,0.003978992],"study_design_scores_gemma":[0.002279334,0.0008948568,0.06574192,0.003307401,0.0002030022,0.0136254,0.0003922173,0.00001780139,0.00001075807,0.002662463,0.910611,0.0002538977],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.3364952,0.01539642,0.00001139978,0.6432615,0.001484087,0.0003579123,0.00001721035,0.000004335678,0.002971994],"genre_scores_gemma":[0.9381921,0.03950468,0.0002530896,0.02128257,0.00007017266,0.000005881203,0.00003708019,0.00004638601,0.0006080586],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6219789,"threshold_uncertainty_score":0.9535393,"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."}}