{"id":"W2430186556","doi":"","title":"Pulse : The greying of Canada‚s medical workforce continues","year":2000,"lang":"en","type":"article","venue":"Canadian Medical Association Journal","topic":"Global Health Workforce Issues","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Workforce; Population; Demography; Family medicine; Environmental health","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.003245772,0.0006104847,0.0007939265,0.001916979,0.009008174,0.008735502,0.00216646,0.01338025,0.05400269],"category_scores_gemma":[0.01064844,0.0004193616,0.0006789963,0.003562487,0.004881443,0.004181771,0.003169703,0.009348764,0.008659723],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03502972,"about_ca_system_score_gemma":0.1109066,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8298987,"about_ca_topic_score_gemma":0.8980411,"domain_scores_codex":[0.9958388,0.0001311324,0.0001157965,0.0002892253,0.002117032,0.001508101],"domain_scores_gemma":[0.981045,0.001254119,0.0005134032,0.000291501,0.007065086,0.009830923],"domain_codex":null,"domain_gemma":"incentives","domain_candidate":"incentives","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00002626905,0.00001114207,0.00102696,0.0002031795,0.000004031718,0.00007958808,0.0003109297,0.00001923033,0.0001202199,0.001654134,0.969753,0.0267913],"study_design_scores_gemma":[0.00002480692,0.00001687174,0.01104402,0.0004847248,0.000006645893,0.00009317178,0.001541562,0.00006324339,0.00004921227,0.001007413,0.9856476,0.00002069413],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.002485668,0.01701169,0.0001774768,0.9148157,0.0386182,0.00003277994,0.001497746,0.0002572423,0.02510353],"genre_scores_gemma":[0.07065484,0.05337648,0.001589357,0.6935429,0.03179903,0.00009337748,0.002770653,0.0002753362,0.145898],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9967542,"threshold_uncertainty_score":0.3422062,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0163153690479199,"score_gpt":0.3443181937814096,"score_spread":0.3280028247334897,"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."}}