{"id":"W4409824849","doi":"10.1080/03630242.2025.2495907","title":"Income and education inequalities in ovarian cancer mortality in Canada: 1990–2019","year":2025,"lang":"en","type":"article","venue":"Women & Health","topic":"Health disparities and outcomes","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"Canada Research Chairs","keywords":"Inequality; Ovarian cancer; Demography; Medicine; Socioeconomics; Gerontology; Cancer; Sociology; Internal medicine; Mathematics","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":[0.000622393,0.0002661526,0.0004112708,0.002293949,0.001965621,0.001160595,0.0009775786,0.0003671598,0.002899786],"category_scores_gemma":[0.002247074,0.0002322083,0.0007603978,0.006448661,0.0003955096,0.0004925193,0.001174451,0.001131985,0.000304823],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0318558,"about_ca_system_score_gemma":0.04540251,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9968162,"about_ca_topic_score_gemma":0.9982498,"domain_scores_codex":[0.9991903,0.00002886003,0.00005726168,0.00009892609,0.0002789404,0.0003457193],"domain_scores_gemma":[0.9984235,0.0000520446,0.0002333946,0.00003778728,0.0008773302,0.0003760468],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001804436,0.00004892866,0.9655346,0.0001796655,0.0001650204,0.0001026001,0.0007341294,0.0003368696,0.0001054266,0.000814237,0.01204885,0.01974933],"study_design_scores_gemma":[0.000007819208,0.000008917561,0.9947336,0.00008832773,0.00004304307,0.00003557733,0.0005368856,0.0003482164,0.00004767811,0.00006860117,0.004071348,0.00001000444],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8354214,0.01077264,0.0003921637,0.005338386,0.0001472958,0.0001147936,0.1339883,0.00006164488,0.01376342],"genre_scores_gemma":[0.9727093,0.002833224,0.0002992751,0.0003748024,0.00003280788,0.0000336611,0.02144324,0.0000120978,0.002261508],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0318558,"threshold_uncertainty_score":0.2311311,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02899210979252185,"score_gpt":0.380086945342102,"score_spread":0.3510948355495802,"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."}}