{"id":"W2166729690","doi":"10.1503/cmaj.071578","title":"Equal for whom? Addressing disparities in the Canadian medical system must become a national priority","year":2007,"lang":"en","type":"letter","venue":"Canadian Medical Association Journal","topic":"Primary Care and Health Outcomes","field":"Health Professions","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Michael's Hospital; University of Toronto","funders":"","keywords":"Context (archaeology); Health care; Healthcare system; Medicine; Political science; Public relations; Data science; Computer science; Geography; Law","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":[0.007266164,0.0006856684,0.001626309,0.001018523,0.01718665,0.005157996,0.00321884,0.03823744,0.01087495],"category_scores_gemma":[0.02609226,0.0006215296,0.001301024,0.001476435,0.01122637,0.00906046,0.004077455,0.05425605,0.003471713],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03771445,"about_ca_system_score_gemma":0.09926052,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6396415,"about_ca_topic_score_gemma":0.8495807,"domain_scores_codex":[0.9906214,0.001385763,0.0005083993,0.0007039008,0.004461134,0.002319365],"domain_scores_gemma":[0.9780445,0.005357347,0.001022464,0.000508115,0.005566429,0.009501075],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002192598,0.00003487301,0.001387813,0.0000893997,0.00001699552,0.000401915,0.0008218931,0.00005360973,0.0001437733,0.00413304,0.9697939,0.02310102],"study_design_scores_gemma":[0.00006786943,0.00006148426,0.006507169,0.0009652618,0.00005472551,0.001317825,0.008910649,0.0003878503,0.0002483479,0.02049128,0.9608036,0.0001839315],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0003428948,0.001187228,0.00006245377,0.9936486,0.003194076,0.000003886741,0.00001976437,0.00001144951,0.001529613],"genre_scores_gemma":[0.009678055,0.002677951,0.0004874737,0.9758391,0.007628801,0.00001412716,0.00003780004,0.00002228605,0.003614248],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.9622855,"threshold_uncertainty_score":0.7249614,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0817154670692855,"score_gpt":0.4150850767734913,"score_spread":0.3333696097042058,"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."}}