{"id":"W3195819284","doi":"10.1002/cncr.33841","title":"Looking at breast cancer through the ethnic and racial lens—One size definitely does not fit all","year":2021,"lang":"en","type":"letter","venue":"Cancer","topic":"Global Cancer Incidence and Screening","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Sunnybrook Health Science Centre; University of Toronto; Ontario Institute for Cancer Research","funders":"","keywords":"Medicine; Breast cancer; Ethnic group; Demography; Black women; Cancer; Disease; Gerontology; Gynecology; Family medicine; Internal medicine; Gender studies","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.002702788,0.0005802955,0.0009325786,0.0007796743,0.004777593,0.002816836,0.001052732,0.02298775,0.01391523],"category_scores_gemma":[0.01254655,0.0005150609,0.0008989392,0.0005762983,0.00211312,0.005177379,0.001327601,0.02477877,0.008282903],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003589986,"about_ca_system_score_gemma":0.004173119,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01681224,"about_ca_topic_score_gemma":0.02501776,"domain_scores_codex":[0.9978685,0.0008056879,0.0002482211,0.0002285555,0.0005787224,0.0002702232],"domain_scores_gemma":[0.9934368,0.002717163,0.0003891699,0.0002152137,0.001685867,0.001555709],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002839331,0.00005750591,0.001870811,0.00004529494,0.000008848083,0.001678956,0.000255074,0.00002368159,0.0001898255,0.001039124,0.9821384,0.01266415],"study_design_scores_gemma":[0.00010495,0.0001737743,0.006886655,0.001318306,0.00004446617,0.009282247,0.003729475,0.0004634768,0.0002556261,0.00824341,0.9693947,0.0001028802],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0004788269,0.0009172445,0.00003478857,0.9889911,0.006195068,0.000006970113,0.00002571614,0.0000156939,0.003334639],"genre_scores_gemma":[0.003525278,0.001646542,0.0001656285,0.9690675,0.01791786,0.00001820973,0.00002060349,0.0000148383,0.007623479],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.02298775,"threshold_uncertainty_score":0.04655111,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1867631615010899,"score_gpt":0.375032672175122,"score_spread":0.1882695106740321,"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."}}