{"id":"W2156507738","doi":"","title":"Examining the geographic distribution of French-speaking physicians in Ontario.","year":2012,"lang":"en","type":"article","venue":"PubMed","topic":"Interpreting and Communication in Healthcare","field":"Health Professions","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Laurentian University","funders":"","keywords":"French; Medicine; Family medicine; Certification; Population; Geography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001620008,0.0000669735,0.0001280876,0.00004508335,0.0002993312,0.00000304162,0.0002286151,0.00008482097,0.00003284273],"category_scores_gemma":[0.0002392744,0.00005099748,0.00003356007,0.0001938721,0.00005423948,0.00008438223,0.0001008955,0.0007119985,0.000009887573],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002283701,"about_ca_system_score_gemma":0.00005465424,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1061148,"about_ca_topic_score_gemma":0.0901167,"domain_scores_codex":[0.9982802,0.0006277123,0.0003867921,0.00008437798,0.0001256394,0.0004952712],"domain_scores_gemma":[0.99863,0.000609591,0.0002377744,0.0003965647,0.00008337407,0.00004273046],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000005484593,0.00002788768,0.9655738,0.00002933989,0.000005239646,4.725524e-8,0.01512367,0.000002282212,0.000001532242,0.001355199,0.0001680961,0.01770743],"study_design_scores_gemma":[0.0001119634,0.000004991339,0.986956,0.0001374013,0.00000592278,2.15203e-7,0.003961831,0.00001517761,0.000006660013,0.0001375966,0.008613091,0.00004912194],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9813147,0.0003092266,0.00007073113,0.0005678839,0.000576394,0.0005950613,0.000007724573,0.00003000259,0.01652826],"genre_scores_gemma":[0.9978604,0.00001265911,0.00002178777,0.0003096981,0.0001049267,0.0013603,0.00003014455,0.000007503339,0.0002925886],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02138224,"threshold_uncertainty_score":0.9264863,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1074712481389208,"score_gpt":0.3518106464779047,"score_spread":0.2443393983389839,"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."}}