{"id":"W6944099739","doi":"10.17863/cam.73761","title":"Personalized Risk Assessment for Prevention and Early Detection of Breast Cancer: Integration and Implementation (PERSPECTIVE I&I).","year":2021,"lang":"en","type":"article","venue":"Kölner Universitäts PublikationsServer (Universität zu Köln)","topic":"BRCA gene mutations in cancer","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Centre Hospitalier Universitaire de Québec; University of Toronto; McGill University; Génome Québec; Genome Canada; Université Laval","keywords":"Breast cancer; Risk assessment; Context (archaeology); Breast cancer screening; Identification (biology); Cancer screening; Health care; Perspective (graphical)","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001741078,0.0001632555,0.0001641272,0.0002296457,0.0003700075,0.00007101177,0.00009777313,0.0001348321,0.0001025333],"category_scores_gemma":[0.00002839192,0.0002020165,0.0001056269,0.0003845456,0.0001261019,0.0003160049,0.000113613,0.00009865889,5.140011e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000372439,"about_ca_system_score_gemma":0.0004040894,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006925198,"about_ca_topic_score_gemma":0.003915872,"domain_scores_codex":[0.9988703,0.0001410012,0.0001758068,0.0004750347,0.0001668953,0.0001709695],"domain_scores_gemma":[0.9983947,0.00003181291,0.0002654127,0.0002121521,0.001015568,0.00008035883],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0010753,0.0004395337,0.0826915,0.0001942486,0.002436846,0.00000517903,0.007986607,0.0004350136,0.7028944,0.07257748,0.001633136,0.1276307],"study_design_scores_gemma":[0.01190072,0.0008213361,0.8077824,0.0001187267,0.001799382,0.00007997835,0.07602474,0.0009203871,0.07611827,0.008285574,0.01506094,0.001087594],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8975588,0.0006711336,0.09924179,0.001184382,0.0001501059,0.0004721721,0.0003646972,0.00001984788,0.0003370612],"genre_scores_gemma":[0.9904295,0.0006676984,0.00703036,0.00003330458,0.00006965641,0.00002367055,0.000355492,0.00001911023,0.001371194],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7250909,"threshold_uncertainty_score":0.8237993,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01062127588565695,"score_gpt":0.2987686069741528,"score_spread":0.2881473310884958,"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."}}