{"id":"W3122537582","doi":"","title":"Physician Labour Supply in Canada: a Cohort Analysis","year":2006,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Healthcare Policy and Management","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Cohort; Medicine; Demography; Graduation (instrument); Cohort effect; Patient care; Medical care; Family medicine; Cohort study; Nursing; Internal medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002002126,0.000358035,0.0004917444,0.002141857,0.002356498,0.00131989,0.001134137,0.0005758727,0.003060372],"category_scores_gemma":[0.003775397,0.0003660212,0.001313783,0.004110997,0.0006296773,0.0003280903,0.001180405,0.0008559985,0.0003238697],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01346962,"about_ca_system_score_gemma":0.02276058,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9889917,"about_ca_topic_score_gemma":0.9854129,"domain_scores_codex":[0.9986954,0.0001644844,0.0000460443,0.0001805997,0.0003319132,0.0005815433],"domain_scores_gemma":[0.996675,0.000470057,0.0006056695,0.0003466693,0.001069923,0.0008326549],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001380607,0.00003137124,0.992313,0.00001138536,0.0001221425,0.0001638225,0.0006589345,0.0007639728,0.00007561403,0.0005011659,0.00141425,0.003806353],"study_design_scores_gemma":[0.00002566708,0.00004325576,0.9923019,0.00002414975,0.00007723147,0.00007321088,0.001370198,0.003453014,0.00005430576,0.0001705218,0.00238857,0.0000179588],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9929578,0.0004291836,0.0003799037,0.0005292962,0.00001971743,0.00005661507,0.004169768,0.00001540955,0.001442218],"genre_scores_gemma":[0.9938961,0.0005035256,0.0003018724,0.00009066534,0.00001164565,0.00002555061,0.002952672,0.000007880917,0.002210133],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01346962,"threshold_uncertainty_score":0.09772938,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03630748397691032,"score_gpt":0.2950250377363601,"score_spread":0.2587175537594498,"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."}}