{"id":"W4412940511","doi":"10.3390/curroncol32080434","title":"Anthropometry and the Risk of Breast Cancer in Moroccan Women: A Large Multicentric Case-Control Study","year":2025,"lang":"en","type":"article","venue":"Current Oncology","topic":"Cancer Risks and Factors","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"World Health Organization","keywords":"Medicine; Body mass index; Odds ratio; Waist; Anthropometry; Demography; Breast cancer; Confidence interval; Obesity; Risk factor; Logistic regression; Gynecology; Waist–hip ratio; Population; Obstetrics; Internal medicine; Cancer; Environmental health","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001124368,0.0004988874,0.0004795568,0.0009644856,0.0008312209,0.0004943958,0.0005113975,0.0003696738,0.0009580785],"category_scores_gemma":[0.001455668,0.0003948392,0.0004555251,0.001116,0.0003592657,0.000182567,0.0004421302,0.0002433022,0.000155236],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007760082,"about_ca_system_score_gemma":0.0003228779,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0196736,"about_ca_topic_score_gemma":0.01664474,"domain_scores_codex":[0.9993176,0.0002537091,0.00006020701,0.0001786696,0.0001063239,0.00008342318],"domain_scores_gemma":[0.9993531,0.00009974695,0.0002216227,0.0001285478,0.0001216887,0.00007542072],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003162868,0.00009367619,0.9952456,0.00004404421,0.0002338079,0.0005935938,0.0004199785,0.00003298287,0.0007632467,0.00002701376,0.0001667805,0.002062892],"study_design_scores_gemma":[0.00002920044,0.0001060199,0.9987748,0.0000100877,0.00008609713,0.0004037576,0.0001591484,0.0000956627,0.00004148467,0.000008635637,0.0002805038,0.000004440351],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990932,0.0004681764,0.0001098273,0.00002247281,0.000004516096,0.00002335791,0.0001495173,0.000002216849,0.0001267082],"genre_scores_gemma":[0.999252,0.0002144258,0.0001756436,0.00002712788,0.0000109649,0.00003276003,0.000185904,0.000001515872,0.00009955631],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0196736,"threshold_uncertainty_score":0.03911823,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02268986609853259,"score_gpt":0.405800390416172,"score_spread":0.3831105243176394,"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."}}