{"id":"W4409962691","doi":"10.1002/jgc4.70010","title":"Breast cancer risk assessment evaluation of screening tools for genetics referral for women in Taiwan","year":2025,"lang":"en","type":"article","venue":"Journal of Genetic Counseling","topic":"BRCA gene mutations in cancer","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Science and Technology Council","keywords":"Referral; Genetic counseling; Cancer genetics; Medicine; Human genetics; Breast cancer; Public health; Family medicine; Medical genetics; Breast cancer screening; Gynecology; Genetic testing; Cancer; Genetics; Mammography; Internal medicine; Pathology; Biology","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":[0.002440247,0.000319487,0.0002723096,0.0009790563,0.000274902,0.0005289501,0.0003028506,0.0002996669,0.0005192571],"category_scores_gemma":[0.009172712,0.0001454269,0.0004927224,0.0006633733,0.0001606656,0.0002751416,0.0004984064,0.0002457103,0.00008973828],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006216301,"about_ca_system_score_gemma":0.000860357,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00638064,"about_ca_topic_score_gemma":0.00851381,"domain_scores_codex":[0.9988611,0.0005432605,0.0001613802,0.0001197438,0.0002070144,0.0001074706],"domain_scores_gemma":[0.9971485,0.001018134,0.0009379628,0.0001098704,0.0005400911,0.0002454076],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000803091,0.00004455278,0.9956598,0.00001897099,0.00002080149,0.00005561248,0.0001547864,0.00005275542,0.0001093874,0.000009729787,0.0000697405,0.003723605],"study_design_scores_gemma":[0.00002063432,0.0002792854,0.9967714,0.00002925981,0.00006046899,0.000223036,0.0005224454,0.001654039,0.0002256956,0.00003194945,0.0001762934,0.000005439812],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992668,0.0001441782,0.0001336325,0.0000601741,0.000003742023,0.00004019327,0.00006626186,0.00000440948,0.0002806907],"genre_scores_gemma":[0.9993292,0.00005290992,0.000419254,0.00001293758,0.000002755226,0.00003335562,0.00009804134,7.740243e-7,0.00005081644],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00638064,"threshold_uncertainty_score":0.01290542,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03303581710655464,"score_gpt":0.3713433346713165,"score_spread":0.3383075175647619,"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."}}