{"id":"W2979447681","doi":"10.13162/hro-ors.v7i4.3886","title":"Improving Access to Family Medicine in Quebec through Quotas and Numerical Targets","year":2019,"lang":"en","type":"article","venue":"Health Reform Observer - Observatoire des Réformes de Santé","topic":"Primary Care and Health Outcomes","field":"Health Professions","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; McGill-Queen's University Press","funders":"","keywords":"Legislature; Negotiation; Health care; Political science; Family medicine; Law; Medicine; Public administration","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":[0.007575531,0.0003375208,0.0003546939,0.001705012,0.002549568,0.003821823,0.001425994,0.001267754,0.01299435],"category_scores_gemma":[0.014214,0.0002986971,0.0004548513,0.00295254,0.001659105,0.001661811,0.001520673,0.001151701,0.0007531727],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.07249821,"about_ca_system_score_gemma":0.09663413,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9698476,"about_ca_topic_score_gemma":0.9776784,"domain_scores_codex":[0.9924809,0.002192704,0.0002484096,0.0005827239,0.002888807,0.001606373],"domain_scores_gemma":[0.9873748,0.002695418,0.0008250177,0.0006691575,0.006438316,0.001997375],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0009532442,0.0006619703,0.1139152,0.0009326815,0.0001904975,0.0005256982,0.00468484,0.01494968,0.003042177,0.2575901,0.2604278,0.3421262],"study_design_scores_gemma":[0.0006416002,0.0005283921,0.4381137,0.0009032602,0.0001105495,0.0001957377,0.00238329,0.02204545,0.00161315,0.01755897,0.5156015,0.0003043861],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"commentary","genre_scores_codex":[0.3493826,0.005873734,0.01676777,0.06025228,0.0005692017,0.0021088,0.01989121,0.001266191,0.5438882],"genre_scores_gemma":[0.9242325,0.000971292,0.01033399,0.004097087,0.000103171,0.0005631618,0.002773846,0.00006745186,0.05685742],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.07249821,"threshold_uncertainty_score":0.5260138,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0893636147374472,"score_gpt":0.4273398070354453,"score_spread":0.3379761922979981,"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."}}