{"id":"W2101844355","doi":"10.1007/s10552-015-0551-2","title":"Mammographic density and breast cancer risk by family history in women of white and Asian ancestry","year":2015,"lang":"en","type":"article","venue":"Cancer Causes & Control","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":22,"is_retracted":false,"has_abstract":false,"ca_institutions":"Dalhousie University","funders":"National Cancer Institute; U.S. Department of Health and Human Services","keywords":"Medicine; Breast cancer; Odds ratio; Family history; Mammography; Confounding; Logistic regression; Demography; Epidemiology; Gynecology; Internal medicine; Cancer","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001702445,0.0001750658,0.0005022587,0.0001887521,0.00003015782,0.00001290223,0.00005384566,0.00006762417,0.00001666393],"category_scores_gemma":[0.0000149148,0.0001585368,0.00006220798,0.0002121282,0.0003433619,0.0002237416,0.00002565311,0.0001890621,2.607146e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002355593,"about_ca_system_score_gemma":0.0002443668,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001813804,"about_ca_topic_score_gemma":0.0003590339,"domain_scores_codex":[0.9989534,0.00004080189,0.0002173544,0.0002955989,0.0001860089,0.0003068309],"domain_scores_gemma":[0.9992344,0.00002433243,0.0001317936,0.000167775,0.0001166581,0.0003250733],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008127376,0.0000669147,0.9671584,0.00009552728,0.0004338893,0.00002611974,0.001040308,0.000002915841,0.001003145,0.000008158147,0.002264793,0.02708714],"study_design_scores_gemma":[0.004981272,0.0001232817,0.9881651,0.0001705519,0.0005700587,0.00007636601,0.0007418541,0.00005260474,0.00003105182,0.00008246575,0.004813158,0.0001922183],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9360738,0.06181649,0.00002040633,0.0007378055,0.0001411275,0.0002313979,0.0003003779,0.0000271137,0.0006514304],"genre_scores_gemma":[0.9965501,0.001892104,0.00001429635,0.001273003,0.0000751676,0.00008236407,0.000002724728,0.00001816359,0.00009202748],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0604763,"threshold_uncertainty_score":0.6464941,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01378311804287497,"score_gpt":0.2416639701580854,"score_spread":0.2278808521152104,"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."}}