{"id":"W4327520551","doi":"10.15173/mujph.v1i1.3108","title":"Inequity In Corrective Eyewear Insurance In Ontario: A Repeated Cross-Sectional Study","year":2022,"lang":"en","type":"article","venue":"McMaster University Journal of Public Health","topic":"Medical Malpractice and Liability Issues","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; McMaster University","funders":"Government of Ontario; Ontario Ministry of Health and Long-Term Care; McMaster University","keywords":"Eyewear; Odds; Socioeconomic status; Medicine; Environmental health; Public health; Odds ratio; Logistic regression; Cross-sectional study; Demography; Business; Population; Advertising; Nursing","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001483316,0.0003746054,0.0005631614,0.00107259,0.002729287,0.001181614,0.00141819,0.0005756576,0.002099956],"category_scores_gemma":[0.003697138,0.0005145856,0.00099225,0.003588943,0.0009644626,0.0006493959,0.001266379,0.0006731941,0.000240157],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02283026,"about_ca_system_score_gemma":0.02150828,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9842219,"about_ca_topic_score_gemma":0.9903772,"domain_scores_codex":[0.9982273,0.0001922666,0.0001544216,0.0003383674,0.00054321,0.0005443437],"domain_scores_gemma":[0.9963496,0.0002485498,0.001346245,0.0002860384,0.001182424,0.0005872188],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002495511,0.00002421206,0.9971609,0.000031551,0.00005520726,0.00004185321,0.001113228,0.0000264185,0.00006391537,0.00006360708,0.0005244502,0.0008697146],"study_design_scores_gemma":[0.000003869284,0.00001613093,0.9983842,0.00002800033,0.00002201688,0.00002091797,0.0008711865,0.00009088655,0.0000141456,0.00001870277,0.0005239946,0.000005864159],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9923693,0.0006628592,0.0001769109,0.0004293755,0.00001326101,0.0000775322,0.004569399,0.0000111193,0.001690211],"genre_scores_gemma":[0.997689,0.0002545295,0.0001478466,0.0001311116,0.00000712983,0.000044249,0.001238691,0.000005182073,0.0004822898],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02283026,"threshold_uncertainty_score":0.1656459,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1539450766486127,"score_gpt":0.4136068469909164,"score_spread":0.2596617703423038,"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."}}