{"id":"W4389766703","doi":"10.1200/go.23.00093","title":"Population-Level Access to Breast Cancer Early Detection and Diagnosis in Nigeria","year":2023,"lang":"en","type":"article","venue":"JCO Global Oncology","topic":"Global Cancer Incidence and Screening","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University; University of British Columbia","funders":"National Cancer Institute; Memorial Sloan-Kettering Cancer Center","keywords":"Mammography; Breast cancer; Medicine; Population; Breast imaging; Breast biopsy; Biopsy; Breast ultrasound; Breast cancer screening; Radiology; Medical physics; Cancer; Environmental health; Internal medicine","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":[0.0002956706,0.0001112121,0.0001761721,0.0005400664,0.0003450587,0.0005335359,0.000219548,0.0002256225,0.002079869],"category_scores_gemma":[0.001553244,0.0001850962,0.0001899833,0.0008054483,0.0001975972,0.0004540436,0.0005809308,0.0002811956,0.00018238],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006617012,"about_ca_system_score_gemma":0.0007434814,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03741788,"about_ca_topic_score_gemma":0.05170787,"domain_scores_codex":[0.9997374,0.00008451138,0.00003258909,0.00004320591,0.00004186259,0.00006042902],"domain_scores_gemma":[0.9995182,0.0001171257,0.0002184014,0.000021097,0.00006950834,0.0000558084],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003195009,0.00005091796,0.9825428,0.0001099611,0.0000272099,0.0003157679,0.0007567088,0.0006447762,0.0002456716,0.0004174207,0.0005315107,0.01432518],"study_design_scores_gemma":[0.000006328917,0.00008314013,0.9910154,0.0002098027,0.00003112408,0.0006777651,0.003664446,0.001377557,0.0001028058,0.0006184431,0.00220073,0.00001258241],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9954599,0.0007657217,0.0002945464,0.0003285253,0.000008622213,0.00002138458,0.0009469433,0.000006953057,0.002167358],"genre_scores_gemma":[0.998477,0.0006929758,0.000285362,0.00003609181,0.000004151668,0.00002075353,0.0002550777,0.000001144929,0.0002274581],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03741788,"threshold_uncertainty_score":0.07440019,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1203166410559358,"score_gpt":0.4363877424617865,"score_spread":0.3160711014058507,"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."}}