{"id":"W4386084982","doi":"10.1177/10732748231197580","title":"Trends in Socioeconomic Inequalities in Breast Cancer Incidence Among Women in Canada","year":2023,"lang":"en","type":"article","venue":"Cancer Control","topic":"Global Cancer Incidence and Screening","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Beatrice Hunter Cancer Research Institute; Dalhousie University","funders":"Australian Research Data Commons; Dalhousie University; Canada Research Chairs; Dalhousie Medical Research Foundation","keywords":"Socioeconomic status; Medicine; Breast cancer; Incidence (geometry); Demography; Census; Population; Cancer registry; Inequality; Household income; Cancer; Environmental health; Geography; Internal medicine","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":[0.0005186299,0.0002394461,0.0003171536,0.00258571,0.001378134,0.001153205,0.000776908,0.0002436739,0.002507536],"category_scores_gemma":[0.001990127,0.0001582718,0.0003889025,0.005765052,0.0003709004,0.0003610491,0.0007370615,0.0006235499,0.0001801048],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02505119,"about_ca_system_score_gemma":0.03108202,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9940051,"about_ca_topic_score_gemma":0.9959227,"domain_scores_codex":[0.99922,0.00003235483,0.00004214058,0.00009124711,0.0003141243,0.0003000896],"domain_scores_gemma":[0.9980012,0.00007679163,0.0003586985,0.00003934908,0.001176439,0.0003476101],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007232245,0.00001665083,0.985657,0.00006821528,0.00007317922,0.00003930244,0.0003260797,0.0002239378,0.00009558872,0.0002929895,0.003544986,0.009589871],"study_design_scores_gemma":[0.000003487771,0.00000744657,0.9976362,0.00004420688,0.00002257044,0.00002087506,0.000375787,0.0002959573,0.00004069869,0.00004029172,0.001507103,0.000005500856],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.93406,0.00597386,0.0003311686,0.003029809,0.00004072581,0.00007238673,0.04453744,0.00005599911,0.01189856],"genre_scores_gemma":[0.9890344,0.001944013,0.0002548685,0.0001395124,0.00001151743,0.00001626637,0.007751378,0.00000593197,0.0008420877],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02505119,"threshold_uncertainty_score":0.18176,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.034418307711605,"score_gpt":0.3088064923840524,"score_spread":0.2743881846724475,"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."}}