{"id":"W1966512848","doi":"10.1158/1940-6207.prev-09-b132","title":"Abstract B132: Risk factors for uncommon histologically defined subgroups of breast cancer using the Breast Cancer Family Registry","year":2010,"lang":"en","type":"article","venue":"Cancer Prevention Research","topic":"Breast Cancer Treatment Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Mount Sinai Hospital","funders":"","keywords":"Medicine; Breast cancer; Cancer registry; Cancer; Internal medicine; Family history; Population; Oncology; Body mass index; Gynecology; Risk factor; Relative risk; Obstetrics; Confidence interval","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":[0.0007226307,0.0002861661,0.0003369537,0.00008731113,0.0005301433,0.00004256915,0.0005394117,0.0002810171,0.0002468753],"category_scores_gemma":[0.0001072053,0.0002024094,0.0002793166,0.0002935464,0.0006150433,0.00001699282,0.000227436,0.0004702453,0.000001062646],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002527682,"about_ca_system_score_gemma":0.0007415192,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01493833,"about_ca_topic_score_gemma":0.01133891,"domain_scores_codex":[0.9977116,0.0001855988,0.0004013341,0.0006292009,0.0004682663,0.0006040108],"domain_scores_gemma":[0.9978229,0.0001554394,0.0003560886,0.0006553595,0.0008844015,0.0001257835],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001315972,0.0003550966,0.4950343,0.000205446,0.0007007889,0.00000183897,0.000165793,0.0004249763,0.4727795,0.0001478341,0.008015634,0.02085279],"study_design_scores_gemma":[0.001315448,0.00009030371,0.9778156,0.0001382414,0.0001509719,0.0000151793,0.0004001621,0.00006166349,0.01600294,0.000444637,0.003273099,0.0002918019],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.990357,0.003521572,0.0002354156,0.001229637,0.0005894983,0.0007679228,0.003094722,0.00001807193,0.0001860934],"genre_scores_gemma":[0.9953641,0.002451854,0.0002136649,0.00004397698,0.000558918,0.0008606726,0.00008537293,0.00004722989,0.0003741889],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4827812,"threshold_uncertainty_score":0.9916213,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06906683805751901,"score_gpt":0.3918543634984434,"score_spread":0.3227875254409244,"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."}}