{"id":"W2792617792","doi":"10.1158/1538-7445.sabcs17-pd7-11","title":"Abstract PD7-11: The role of multi-gene hereditary cancer panels in male patients with breast cancer","year":2018,"lang":"en","type":"article","venue":"Cancer Research","topic":"BRCA gene mutations in cancer","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"CHEK2; PALB2; Breast cancer; Medicine; Oncology; Cancer; Population; Internal medicine; Prostate cancer; Male breast cancer; Family history; Genetic testing; CDH1; Pancreatic cancer; Genetics; Biology; Gene; Germline mutation; Mutation","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001161311,0.0002117,0.0001978347,0.0007757731,0.0003555065,0.000632812,0.0003489953,0.0003407323,0.00296586],"category_scores_gemma":[0.006068131,0.0001508821,0.0002071415,0.0006530972,0.0002759503,0.0004675355,0.0005399684,0.0004373296,0.0003502177],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001935875,"about_ca_system_score_gemma":0.0002483392,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009320381,"about_ca_topic_score_gemma":0.001304259,"domain_scores_codex":[0.999262,0.0002863459,0.000074501,0.0001464767,0.0001479836,0.00008273528],"domain_scores_gemma":[0.9947561,0.002240506,0.001874331,0.0001929635,0.0003696248,0.0005665222],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004638543,0.000005914831,0.9977244,0.000004494229,0.000008207927,0.0001318937,0.00001510052,0.00002723846,0.00008600509,0.000008370437,0.00006359084,0.001878443],"study_design_scores_gemma":[0.000003930765,0.0001378408,0.9938912,0.00001602987,0.00003979298,0.00373263,0.0001808617,0.001042993,0.0005159706,0.00005202551,0.0003823875,0.00000428693],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979829,0.000673018,0.0001751314,0.0001352296,0.000007566659,0.000005617409,0.0001665548,0.000009908969,0.0008441127],"genre_scores_gemma":[0.9996861,0.00006975613,0.00009927523,0.0000159614,0.00000930086,0.000001335488,0.00005665349,0.000001465675,0.00006013325],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00296586,"threshold_uncertainty_score":0.009921789,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0336588545570063,"score_gpt":0.3576348165312488,"score_spread":0.3239759619742426,"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."}}