{"id":"W7053091797","doi":"","title":"Three Papers on Physician Labour Supply in Canada","year":2023,"lang":"en","type":"dissertation","venue":"MacSphere (McMaster University)","topic":"Plasma Diagnostics and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"McMaster University","keywords":"Workforce; Physician supply; Per capita; Population; Economic shortage; Estimation; Health care; Work (physics); Current Population Survey","routes":{"ca_aff":false,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.004856175,0.0007795878,0.001055552,0.01579946,0.006738495,0.007567899,0.002496208,0.001760991,0.009059424],"category_scores_gemma":[0.02781278,0.0005480525,0.001466831,0.04936189,0.00239235,0.001665505,0.002314784,0.001937053,0.0007239432],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1054623,"about_ca_system_score_gemma":0.1305685,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9816869,"about_ca_topic_score_gemma":0.9831525,"domain_scores_codex":[0.9924554,0.0006286008,0.0005697362,0.0006111689,0.004212594,0.001522548],"domain_scores_gemma":[0.9642364,0.01045976,0.002816282,0.001002719,0.01959643,0.001888424],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0004227446,0.000159392,0.127913,0.01216518,0.0008206522,0.0006138838,0.01138422,0.002261905,0.0003049792,0.05285294,0.5414405,0.2496607],"study_design_scores_gemma":[0.00008578444,0.00005208745,0.2869891,0.009433744,0.0004037924,0.0001588016,0.0146758,0.0006591592,0.0004652711,0.003726205,0.6831941,0.0001561995],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.1035515,0.4870585,0.001873353,0.1447078,0.00993295,0.0003262799,0.03391397,0.0001353131,0.2185003],"genre_scores_gemma":[0.4465504,0.4261595,0.002968036,0.03510191,0.005510554,0.0003803588,0.02063138,0.0001723169,0.06252563],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1054623,"threshold_uncertainty_score":0.7651863,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006019362141332607,"score_gpt":0.1659207963492899,"score_spread":0.1599014342079573,"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."}}