{"id":"W4206812001","doi":"10.1093/eurpub/cky212.463","title":"Monitoring and reporting on health inequalities in Canada","year":2018,"lang":"en","type":"article","venue":"European Journal of Public Health","topic":"Health disparities and outcomes","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Public Health Agency of Canada","funders":"","keywords":"Inequality; Environmental health; Environmental science; Medicine; Mathematics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006223336,0.0004906405,0.0006251021,0.005980954,0.002689214,0.002978829,0.003126715,0.0009246344,0.002632923],"category_scores_gemma":[0.03325913,0.0005042155,0.0007275064,0.0160373,0.0007402146,0.001179487,0.001734279,0.001636227,0.0002810487],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05620703,"about_ca_system_score_gemma":0.1465115,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9981117,"about_ca_topic_score_gemma":0.997308,"domain_scores_codex":[0.9893086,0.001473238,0.001272809,0.0009775114,0.004783989,0.002183889],"domain_scores_gemma":[0.939729,0.00647661,0.009999265,0.001658447,0.03741306,0.00472371],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001248916,0.00009383311,0.9387305,0.0002420739,0.000207284,0.0000520969,0.001441838,0.0007498038,0.0001528631,0.001116218,0.02759128,0.02949741],"study_design_scores_gemma":[0.00001503036,0.00002466696,0.9840465,0.000197435,0.00009478728,0.00002880748,0.001444636,0.002158093,0.0003070115,0.000163726,0.01147213,0.00004717428],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8702236,0.007912876,0.002183261,0.0147152,0.000346602,0.0003788729,0.07755024,0.0002795283,0.02640994],"genre_scores_gemma":[0.9795787,0.002415676,0.001659371,0.001052162,0.00007513697,0.000111905,0.01146098,0.00003427218,0.003611778],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9437929,"threshold_uncertainty_score":0.4078125,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2575381353605133,"score_gpt":0.4153501566606653,"score_spread":0.157812021300152,"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."}}