{"id":"W2211765981","doi":"","title":"Canadians without regular medical doctors. Who are they?","year":2001,"lang":"en","type":"article","venue":"PubMed","topic":"Primary Care and Health Outcomes","field":"Health Professions","cited_by":64,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Bivariate analysis; Medicine; Logistic regression; Demographics; Family medicine; Immigration; Health care; Population; Primary care; Demography; Environmental health; 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001325757,0.0001830479,0.00047178,0.0001294594,0.0006677752,0.00001083689,0.0003899847,0.0003904199,0.001840774],"category_scores_gemma":[0.0007595791,0.0001483942,0.00008459116,0.0001839573,0.00006400028,0.0001254897,0.0001120127,0.000826375,0.0003493767],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008835881,"about_ca_system_score_gemma":0.00160712,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02150466,"about_ca_topic_score_gemma":0.1330998,"domain_scores_codex":[0.9967369,0.0003920522,0.0005581901,0.0003239118,0.0005859697,0.00140296],"domain_scores_gemma":[0.997642,0.0003280772,0.0001892162,0.0005195421,0.0001189427,0.001202246],"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":[0.00003715643,0.00002129613,0.5662159,0.0001048419,0.0000249259,0.0001194172,0.0007030405,1.974795e-7,1.484743e-7,0.001138608,0.3908069,0.04082756],"study_design_scores_gemma":[0.0004585366,0.00000471791,0.4651743,0.00002565176,0.00001075276,0.000006600555,0.0002650603,0.000002457869,4.013666e-7,0.0003776364,0.5335701,0.0001037635],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.276692,0.00136665,0.00007419428,0.2845308,0.003783401,0.003201364,0.00007299175,0.0005350855,0.4297435],"genre_scores_gemma":[0.7023982,0.001032269,0.00004799731,0.2032063,0.002342002,0.003687951,0.00003536831,0.00007543885,0.08717448],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4257062,"threshold_uncertainty_score":0.9990717,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05032683983368557,"score_gpt":0.3638006457834294,"score_spread":0.3134738059497438,"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."}}