{"id":"W2565325502","doi":"10.1503/cmaj.109-5356","title":"The challenges of physician retirement","year":2016,"lang":"en","type":"article","venue":"Canadian Medical Association Journal","topic":"Diversity and Career in Medicine","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Retirement planning; Medicine; Gerontology; Family medicine; Actuarial science; Business","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.01223123,0.000349997,0.0005425427,0.000943355,0.01737001,0.006030615,0.001218593,0.008980534,0.01533703],"category_scores_gemma":[0.02860798,0.0003386574,0.0007092461,0.0008022449,0.008485312,0.004972884,0.007806328,0.01103457,0.002715565],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008041046,"about_ca_system_score_gemma":0.03024729,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03260294,"about_ca_topic_score_gemma":0.06954429,"domain_scores_codex":[0.9909949,0.003596203,0.0003377268,0.0005340026,0.001802376,0.002734797],"domain_scores_gemma":[0.9666672,0.004487221,0.001309395,0.0007171441,0.003642061,0.02317699],"domain_codex":null,"domain_gemma":"incentives","domain_candidate":"incentives","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008168029,0.0001431979,0.006830797,0.0002576812,0.00003669477,0.0009745956,0.01318017,0.0001862104,0.000235323,0.05110245,0.8214479,0.1055233],"study_design_scores_gemma":[0.00004135216,0.0001380421,0.009792369,0.000884518,0.00001422294,0.001128017,0.02906954,0.0001262548,0.00006766117,0.03015303,0.928534,0.00005101423],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.006540538,0.009756836,0.0002866815,0.9655056,0.004761651,0.000008939685,0.00004304776,0.0000188832,0.01307786],"genre_scores_gemma":[0.3420519,0.03808307,0.002660156,0.5642259,0.02623881,0.0001217814,0.0001683584,0.00008151239,0.02636856],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.991959,"threshold_uncertainty_score":0.06482631,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01970826646009194,"score_gpt":0.2579388572502579,"score_spread":0.238230590790166,"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."}}