{"id":"W6987935182","doi":"","title":"(In)Visible Minorities in Canadian Health Data and Research","year":2015,"lang":"en","type":"article","venue":"Scholarship@Western (Western University)","topic":"Race, Genetics, and Society","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Public health; Health data; Government (linguistics); Data collection; MEDLINE","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001764345,0.0001522622,0.0001933463,0.0003874413,0.0001477388,0.0001180198,0.0007590646,0.0002202395,0.000002698497],"category_scores_gemma":[0.0001010234,0.0001896497,0.00002542165,0.000326207,0.0001989247,0.0000772928,0.0006450414,0.000390911,0.00001674563],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002510033,"about_ca_system_score_gemma":0.001179296,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.0122285,"about_ca_topic_score_gemma":0.8143639,"domain_scores_codex":[0.997862,0.0003912268,0.0001777977,0.000627987,0.0002433172,0.0006976178],"domain_scores_gemma":[0.9984353,0.0000203856,0.00004430841,0.0007785444,0.0001186701,0.0006028498],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000360141,0.00003270075,0.9982124,0.00002549646,0.00001099669,0.00007877804,0.0009200664,0.000008247316,0.000378832,0.00002254205,0.0000838635,0.0001900396],"study_design_scores_gemma":[0.001539882,0.0003038196,0.9072173,0.00007647831,0.000005829286,0.00002351644,0.004049269,0.000002120103,0.0009303435,0.000137661,0.08538128,0.0003324819],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9963688,0.001863046,0.00001163058,0.0009545119,0.0001290082,0.0002089933,0.00008671902,0.000006803895,0.0003704859],"genre_scores_gemma":[0.993169,0.0009535817,0.00006181975,0.0004532308,0.0001200197,7.098834e-7,0.0001495186,0.00002071054,0.005071469],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8021354,"threshold_uncertainty_score":0.9943491,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1909723085677392,"score_gpt":0.3896853795498867,"score_spread":0.1987130709821475,"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."}}