{"id":"W4247044770","doi":"10.1002/ijc.10389","title":"Case‐control study of anthropometric measures and breast cancer risk","year":2002,"lang":"en","type":"article","venue":"International Journal of Cancer","topic":"Cancer Risks and Factors","field":"Medicine","cited_by":70,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Cancer Foundation","funders":"","keywords":"Medicine; Waist; Odds ratio; Quartile; Anthropometry; Confidence interval; Breast cancer; Body mass index; Population; Waist–hip ratio; Demography; Case-control study; Logistic regression; Obstetrics; Gynecology; Internal medicine; Cancer; Environmental health","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001390288,0.0003075844,0.0005824227,0.0007931708,0.0007944873,0.0006160385,0.0007470204,0.0003867891,0.00169191],"category_scores_gemma":[0.002623212,0.0004847063,0.0003356391,0.001819693,0.000418751,0.0001575654,0.0002563198,0.000637309,0.0002264113],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001337453,"about_ca_system_score_gemma":0.001404137,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1839299,"about_ca_topic_score_gemma":0.1521137,"domain_scores_codex":[0.9988972,0.0002944067,0.00006025588,0.0002208725,0.0003617308,0.0001654828],"domain_scores_gemma":[0.9989184,0.0002101796,0.0001967299,0.000171323,0.0003325465,0.0001708209],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006860856,0.0002061118,0.9913776,0.00003778278,0.0004133172,0.000535391,0.0001893486,0.000091719,0.0009126419,0.0001511186,0.000860101,0.00453884],"study_design_scores_gemma":[0.0001099495,0.0001775844,0.9975179,0.000009016476,0.00009957773,0.0003669547,0.00006378235,0.000193517,0.0000766793,0.00003855615,0.001341724,0.000004793485],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9951029,0.001317645,0.001006374,0.00009648933,0.00003129865,0.0001394999,0.00114136,0.00002834274,0.001136075],"genre_scores_gemma":[0.9955717,0.0005030909,0.000851912,0.00006782245,0.00002118591,0.00009841342,0.001317927,0.00000531636,0.00156254],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1839299,"threshold_uncertainty_score":0.3657187,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03054119928707993,"score_gpt":0.3510196453534886,"score_spread":0.3204784460664086,"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."}}