{"id":"W2734534017","doi":"10.1097/jxx.0000000000000272","title":"Breast cancer risk assessment: Evaluation of screening tools for genetics referral","year":2019,"lang":"en","type":"article","venue":"Journal of the American Association of Nurse Practitioners","topic":"BRCA gene mutations in cancer","field":"Biochemistry, Genetics and Molecular Biology","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Referral; Medicine; Receiver operating characteristic; Family history; Logistic regression; Breast cancer; Risk assessment; Risk management tools; Pedigree chart; Family medicine; Gynecology; Cancer; Internal medicine; Computer science","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":[0.02238039,0.0006801504,0.0006937674,0.002063174,0.0004467472,0.001523519,0.0006796285,0.0005725171,0.001367963],"category_scores_gemma":[0.07730599,0.0001922906,0.001161868,0.00120964,0.0004406754,0.001304606,0.0009857297,0.0004079344,0.0003271502],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001289982,"about_ca_system_score_gemma":0.002617721,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003749421,"about_ca_topic_score_gemma":0.005850316,"domain_scores_codex":[0.98654,0.007646807,0.001169493,0.0005764377,0.003678606,0.000388702],"domain_scores_gemma":[0.9552224,0.03100967,0.005374294,0.0008153869,0.006532022,0.001046252],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001035533,0.0002679726,0.8919216,0.0003641797,0.0002972207,0.00007979212,0.0004196435,0.0009473697,0.0002971136,0.0002594126,0.001346175,0.102764],"study_design_scores_gemma":[0.0002295581,0.002982846,0.9622486,0.0007506114,0.0005156177,0.0008366583,0.0008480555,0.02581678,0.001156111,0.001037057,0.003518622,0.00005951931],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9806004,0.004042921,0.006030585,0.001115014,0.0001207243,0.001086403,0.0005611487,0.0001924274,0.006250379],"genre_scores_gemma":[0.9890077,0.000497927,0.009698054,0.00008358044,0.00002511846,0.0002368247,0.000270766,0.00001099351,0.0001690135],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02238039,"threshold_uncertainty_score":0.1183602,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02421500980118014,"score_gpt":0.3684265204747576,"score_spread":0.3442115106735775,"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."}}