{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.03305884,0.0008180392,0.0006233663,0.001212605,0.002521538,0.005684247,0.002648199,0.01240065,0.004885468],"category_scores_gemma":[0.05235866,0.0005083968,0.002108667,0.001072521,0.005565864,0.00293817,0.005593019,0.01226524,0.001161442],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02358203,"about_ca_system_score_gemma":0.1211199,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3092889,"about_ca_topic_score_gemma":0.3728676,"domain_scores_codex":[0.9613375,0.02077946,0.001241869,0.001523873,0.01268951,0.00242779],"domain_scores_gemma":[0.9583033,0.01832571,0.002167539,0.001642217,0.01461296,0.004948216],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00011691,0.0002327639,0.004304643,0.00302286,0.0002220361,0.0004586678,0.00525622,0.001326748,0.0008449372,0.1474825,0.4882142,0.3485174],"study_design_scores_gemma":[0.00009801836,0.0002317864,0.00969302,0.005394387,0.0002772589,0.000462751,0.001841749,0.000649963,0.001166056,0.0350264,0.9450386,0.000119944],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.00145811,0.05097731,0.009418742,0.8930313,0.005025438,0.0004330612,0.0003696022,0.0001241344,0.03916227],"genre_scores_gemma":[0.08196001,0.1103526,0.04833313,0.7209519,0.008245971,0.001477352,0.0009091015,0.0001713952,0.02759856],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.3092889,"threshold_uncertainty_score":0.6149773,"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."}}