{"id":"W2021583801","doi":"10.2307/3552195","title":"Physician Distribution and Physician Shortage Intensity in Ontario","year":2001,"lang":"en","type":"article","venue":"Canadian Public Policy","topic":"Global Health Workforce Issues","field":"Health Professions","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Economic shortage; Distribution (mathematics); Intensity (physics); Family medicine; Medicine; Business; Mathematics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003141628,0.0002065423,0.000338034,0.0003495438,0.0007307649,0.00003338591,0.0002079212,0.0002427237,0.0001792295],"category_scores_gemma":[0.0001417311,0.0002233371,0.00003873237,0.0008774691,0.0001113563,0.0003096397,0.0000712395,0.0008430411,0.0002149887],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.006494269,"about_ca_system_score_gemma":0.007543284,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9923266,"about_ca_topic_score_gemma":0.9994312,"domain_scores_codex":[0.9973146,0.0001331136,0.0003975282,0.0003481038,0.0001523919,0.001654308],"domain_scores_gemma":[0.9979897,0.00005238826,0.000105927,0.0003708916,0.0001577343,0.001323383],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001897093,0.00003354495,0.8781337,0.00003522351,0.00001136768,0.00004799458,0.002935595,7.92596e-7,0.00000400577,0.06195594,0.03753626,0.01928665],"study_design_scores_gemma":[0.0002416605,0.00001721422,0.4885858,0.00008684772,0.000002702105,0.00000211331,0.001058158,0.00003406234,5.238225e-7,0.001426825,0.5084136,0.0001305141],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.885516,0.00006729516,0.000006809978,0.02146556,0.000284409,0.0005773128,0.0001113339,0.00006491932,0.09190633],"genre_scores_gemma":[0.966869,0.00003261906,0.00001232979,0.02787042,0.0005089286,0.00005501096,0.0003154391,0.00002172388,0.004314543],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4708773,"threshold_uncertainty_score":0.998083,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04682486622929527,"score_gpt":0.3659551451900936,"score_spread":0.3191302789607983,"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."}}