{"id":"W4323309901","doi":"10.1503/cmaj.221239","title":"Physician workforce planning in Canada: the importance of accounting for population aging and changing physician hours of work","year":2023,"lang":"en","type":"article","venue":"Canadian Medical Association Journal","topic":"Global Health Workforce Issues","field":"Health Professions","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; Hamilton Health Sciences","funders":"","keywords":"Workforce; Work (physics); Population ageing; Workforce planning; Work hours; Medicine; Key (lock); Population; Physician supply; Family medicine; Medical education; Economic growth; Computer science; Environmental health; Economics; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.003069458,0.0004694021,0.0003904888,0.002325212,0.005151232,0.00342936,0.002256939,0.0009618839,0.004096599],"category_scores_gemma":[0.01764843,0.0003308749,0.0003798139,0.004280826,0.001176266,0.001405164,0.001932429,0.003261924,0.0003537524],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0636918,"about_ca_system_score_gemma":0.2698771,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9925248,"about_ca_topic_score_gemma":0.9968395,"domain_scores_codex":[0.9963163,0.0006026799,0.0002209813,0.0002598789,0.001840554,0.0007596387],"domain_scores_gemma":[0.9858667,0.001463149,0.001258532,0.0001423905,0.007187341,0.004081829],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00007926468,0.0001396515,0.3068738,0.001249087,0.0001435134,0.000566527,0.004458579,0.007362946,0.0002539396,0.009332802,0.3036954,0.3658445],"study_design_scores_gemma":[0.00005446105,0.0001224547,0.6399298,0.005019241,0.0002031546,0.0006771666,0.01939475,0.01719211,0.0004462836,0.01199932,0.3047037,0.0002576264],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1760993,0.0919172,0.01703627,0.6186004,0.004445246,0.0005949259,0.01174135,0.0006609058,0.07890458],"genre_scores_gemma":[0.879325,0.06208605,0.02341778,0.02013477,0.001830494,0.0001796892,0.003336664,0.0001962513,0.009493263],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9363082,"threshold_uncertainty_score":0.4621185,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02673759281241821,"score_gpt":0.3567483582068232,"score_spread":0.330010765394405,"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."}}