{"id":"W4312386481","doi":"10.9778/cmajo.20210319","title":"Supply and demographic characteristics of Ontario’s ophthalmologists from 2010 to 2019: a population-based analysis","year":2022,"lang":"en","type":"article","venue":"CMAJ Open","topic":"Ophthalmology and Visual Impairment Studies","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Medical Association; Kingston Health Sciences Centre; Kensington Health; Queen's University; University of Toronto","funders":"Canadian Institutes of Health Research; Ontario Medical Association; Bausch Health; Physicians' Services Incorporated Foundation","keywords":"Medicine; Workforce; Demographics; Descriptive statistics; Population; Demography; Cohort; Population ageing; Family medicine; Optometry; Gerontology; Environmental health","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002627948,0.000125326,0.0005592178,0.0002514063,0.0002087552,0.00001684871,0.000183145,0.0000498159,0.002759595],"category_scores_gemma":[0.00006849477,0.0001157214,0.00009502569,0.0004626378,0.00005429516,0.00004674557,0.0004131361,0.0001700321,0.000006404722],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009456924,"about_ca_system_score_gemma":0.0001347594,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2059715,"about_ca_topic_score_gemma":0.005039441,"domain_scores_codex":[0.9990172,0.00008161584,0.0002856346,0.0002901889,0.0001638474,0.0001615174],"domain_scores_gemma":[0.9993064,0.0001093418,0.0001322708,0.000291845,0.0000521534,0.0001080146],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005509874,0.0003528365,0.996919,0.00001247341,0.0005925768,0.00005400058,0.0004826034,0.00001708062,0.0001484981,0.00001405839,0.0006592232,0.0001967147],"study_design_scores_gemma":[0.00075881,0.001325843,0.9963931,0.00001615778,0.0008032817,0.00001813898,0.00008438484,0.00003980621,0.00003176591,0.00007734948,0.0003363412,0.0001150392],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977388,0.00007216928,0.00002060348,0.0009529384,0.0001467461,0.0005990167,0.0002684376,0.00001033597,0.0001909358],"genre_scores_gemma":[0.9954482,0.000002416277,0.0009733029,0.0005006837,0.00001849324,0.00009459102,0.0007635308,0.000009361423,0.002189363],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2009321,"threshold_uncertainty_score":0.998152,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03804484814894289,"score_gpt":0.3458719743657954,"score_spread":0.3078271262168525,"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."}}