{"id":"W7133023975","doi":"","title":"Modeling Supply and Demand of General Internists in Ontario","year":2024,"lang":"","type":"dissertation","venue":"TSpace","topic":"Healthcare Operations and Scheduling Optimization","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Workforce; Specialty; Supply and demand; Population; Workforce planning; Service (business); Census; Physician supply; Health care","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00104419,0.0003945015,0.0007397049,0.0005260812,0.0003437453,0.00006461524,0.0001389502,0.0009511698,0.0007496092],"category_scores_gemma":[0.000142237,0.0004044126,0.00008643879,0.0003056834,0.00003625486,0.0001419718,0.00008212413,0.002128997,0.00004578641],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006035761,"about_ca_system_score_gemma":0.003368682,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5376051,"about_ca_topic_score_gemma":0.887958,"domain_scores_codex":[0.9966139,0.000466153,0.001446162,0.0006659774,0.0002937328,0.0005141395],"domain_scores_gemma":[0.9986861,0.000123411,0.0002454221,0.0003199681,0.0004159873,0.0002090701],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003978949,0.0001599617,0.03098789,0.005794836,0.00009581161,0.00002877089,0.760726,0.1956593,0.0008696845,0.003248339,0.0001985332,0.001832963],"study_design_scores_gemma":[0.0007217434,0.0001539058,0.004968408,0.006617493,0.00009882717,0.000003425883,0.04344406,0.9430048,0.00006557877,0.0002308707,0.0002947093,0.0003961918],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9866439,0.002398125,0.004411036,0.001093622,0.001730776,0.001220418,0.00001387915,0.00002598553,0.002462311],"genre_scores_gemma":[0.9354823,0.001448252,0.008628702,0.0001075501,0.0001348226,0.00009689642,0.0007711895,0.00007707634,0.05325322],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7473455,"threshold_uncertainty_score":0.9998408,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07889036207997047,"score_gpt":0.4529656543525035,"score_spread":0.374075292272533,"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."}}