{"id":"W4401077655","doi":"10.1002/puh2.223","title":"Disease Burden, Risk Factors, and Temporal Trends in Breast Cancer in Low‐ and Middle‐Income Countries: A Global Study","year":2024,"lang":"en","type":"article","venue":"Public Health Challenges","topic":"Global Cancer Incidence and Screening","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"Chinese University of Hong Kong","keywords":"Breast cancer; Low and middle income countries; Medicine; Environmental health; Disease; Global health; Disease burden; Burden of disease; Cancer; Health care; Demography; Developing country; Public health; Population; Economic growth; Pathology; 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":[0.0008468852,0.0004042022,0.0004121568,0.002060013,0.0002504498,0.0008254373,0.0003205934,0.0003883312,0.001240609],"category_scores_gemma":[0.00136406,0.0002350527,0.0008566341,0.00550337,0.0003374213,0.0008335127,0.0008671742,0.0004837755,0.0002110796],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000447983,"about_ca_system_score_gemma":0.0004773902,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01218028,"about_ca_topic_score_gemma":0.009510562,"domain_scores_codex":[0.9996319,0.0001135738,0.0000482321,0.00009154041,0.00004730742,0.00006744304],"domain_scores_gemma":[0.9990811,0.000120005,0.0004668541,0.00006639541,0.0001419729,0.000123558],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004241284,0.00001441962,0.9939916,0.0001591897,0.0003269439,0.00005349488,0.0001661718,0.0001221637,0.00006092411,0.0001089556,0.001026122,0.003927675],"study_design_scores_gemma":[0.000006570408,0.00003177528,0.9970282,0.0001011601,0.0001593745,0.0001398031,0.0006369372,0.000237624,0.00003342672,0.00008137956,0.001537868,0.00000596009],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.957612,0.01900309,0.0005113845,0.001437449,0.00005621687,0.00004504918,0.01866679,0.00003680757,0.002631269],"genre_scores_gemma":[0.9906641,0.004252335,0.0002690929,0.0001976616,0.00005970564,0.00005174,0.00432362,0.000005907122,0.0001756965],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01218028,"threshold_uncertainty_score":0.02421874,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1097612395527226,"score_gpt":0.3886359502110183,"score_spread":0.2788747106582957,"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."}}