{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006186833,0.00007258486,0.0001918708,0.001353942,0.001400324,0.0007683091,0.0004784977,0.0001877851,0.003112452],"category_scores_gemma":[0.003599864,0.000155749,0.0001345379,0.003168064,0.001058553,0.000444528,0.0008600844,0.0003151793,0.0001821803],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03120231,"about_ca_system_score_gemma":0.01855018,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9594282,"about_ca_topic_score_gemma":0.9820231,"domain_scores_codex":[0.9992483,0.00006341348,0.00003405715,0.0000509238,0.0003247772,0.0002784882],"domain_scores_gemma":[0.9970313,0.0002461048,0.0009037714,0.00006632481,0.001011777,0.0007406587],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001884066,0.0000507997,0.9628276,0.00008127707,0.00003862471,0.0001833762,0.006254644,0.001574783,0.0008391009,0.004335172,0.006477694,0.01714858],"study_design_scores_gemma":[0.00001159146,0.00001216466,0.9924369,0.00001573546,0.000005413936,0.00003232771,0.002217106,0.0004725541,0.0000913337,0.0002322976,0.004467218,0.00000536584],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9822582,0.0003904037,0.0001630413,0.002372677,0.000008383397,0.0000182822,0.001135841,0.00001171366,0.01364134],"genre_scores_gemma":[0.9963005,0.0002605123,0.00008064477,0.0001188064,0.000008817825,0.000006635091,0.0003027236,0.000005284727,0.002916087],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9687977,"threshold_uncertainty_score":0.2263897,"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."}}