{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005206938,0.000204073,0.0006505434,0.0004930368,0.00002848379,0.00001805305,0.0001781392,0.00008663596,0.001070017],"category_scores_gemma":[0.00003306559,0.0002081627,0.00005115287,0.0008097214,0.00006560885,0.0002369403,0.00003929123,0.0003649884,0.00001154356],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01008978,"about_ca_system_score_gemma":0.003181038,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.982488,"about_ca_topic_score_gemma":0.9952,"domain_scores_codex":[0.9978112,0.00007303678,0.0005404765,0.0003840184,0.0002714639,0.0009198069],"domain_scores_gemma":[0.9993312,0.0001029878,0.0001107624,0.0002087372,0.00004794865,0.0001983401],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003029366,0.000008371861,0.9766015,0.00003994786,0.00002282121,0.0002810525,0.001619722,0.004720132,0.00008894863,0.00002029934,0.001738225,0.01455601],"study_design_scores_gemma":[0.003844406,0.00002255302,0.985647,0.0004079374,0.000009989933,0.000005775791,0.004229797,0.00522561,0.00001445227,0.000074064,0.0003086258,0.0002098159],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9923019,0.00110077,0.00000102092,0.005359072,0.0002870467,0.000220859,0.0001728971,0.00003127277,0.0005251585],"genre_scores_gemma":[0.9952039,0.0003951467,0.000001536394,0.002693483,0.0001825449,0.0008979116,0.00001089956,0.00002261759,0.0005919288],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01434619,"threshold_uncertainty_score":0.9998431,"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."}}