{"id":"W4283772920","doi":"10.1016/j.jcjo.2022.06.008","title":"Updated inventory and projections for Canada's ophthalmology workforce","year":2022,"lang":"en","type":"article","venue":"Canadian Journal of Ophthalmology","topic":"Intraocular Surgery and Lenses","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Manitoba; University of Toronto","funders":"","keywords":"Workforce; Population; Demographics; Projections of population growth; Medicine; Cohort; Demography; Optometry; Population growth; Nova scotia; Family medicine; Geography; Environmental health; Political science","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":[0.001641138,0.001222644,0.0005260702,0.006638232,0.002295793,0.004464593,0.002024165,0.001542436,0.01072606],"category_scores_gemma":[0.006996685,0.0006140934,0.001429647,0.01066619,0.0004520318,0.001982765,0.001454403,0.002439449,0.001918216],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0772436,"about_ca_system_score_gemma":0.1875589,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9924524,"about_ca_topic_score_gemma":0.9931305,"domain_scores_codex":[0.9961385,0.0001196847,0.000215457,0.0001950428,0.002327824,0.001003508],"domain_scores_gemma":[0.984396,0.0002821838,0.0006073105,0.0001145197,0.01248202,0.002117974],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0003731149,0.0002254988,0.1222111,0.0008769245,0.000179135,0.0002589527,0.000663476,0.01129002,0.0003670669,0.009296332,0.8028157,0.05144259],"study_design_scores_gemma":[0.0001546901,0.0001599476,0.5806565,0.001343956,0.0002175736,0.0004186787,0.004738113,0.01739349,0.0007576081,0.002553144,0.3913526,0.0002536759],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.103565,0.009254471,0.002918176,0.04654883,0.002181132,0.0004315391,0.7735891,0.001220365,0.06029142],"genre_scores_gemma":[0.5215691,0.01791479,0.01108626,0.007979861,0.0006487207,0.0005630494,0.3911083,0.0002030566,0.04892685],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9227564,"threshold_uncertainty_score":0.5604441,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0340808618406964,"score_gpt":0.27787758917607,"score_spread":0.2437967273353736,"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."}}