{"id":"W2521880443","doi":"","title":"Women’s Interest in Genetic Testing for Breast Cancer Risk","year":2002,"lang":"en","type":"article","venue":"Cancer Epidemiology and Prevention Biomarkers","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":"Breast cancer; Family history; Medicine; Cancer; Population; Genetic testing; Oncology; Gynecology; Demography; Internal medicine; Environmental health","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000808645,0.0001664971,0.0002371404,0.00008168628,0.0001124323,0.000006838877,0.0001217115,0.0002201022,0.0002948734],"category_scores_gemma":[0.0004521841,0.0001669638,0.00007142188,0.0001305685,0.0001882934,0.000006958924,0.00005578081,0.0001042165,0.000002995167],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001712269,"about_ca_system_score_gemma":0.00007119833,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001658281,"about_ca_topic_score_gemma":0.0007373066,"domain_scores_codex":[0.9983372,0.0003364516,0.000400758,0.0005069828,0.00002514178,0.0003934536],"domain_scores_gemma":[0.9991991,0.000205731,0.0002303893,0.0002003628,0.00007148498,0.00009294918],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002005716,0.00003734278,0.6046722,0.00008757437,0.0002467084,7.306589e-7,0.0001278735,0.0005534599,0.006034772,0.00003027262,0.0127511,0.3752574],"study_design_scores_gemma":[0.002213537,0.0003669806,0.9610521,0.0001677882,0.0000838321,0.00003920226,0.0001987009,0.004381841,0.0008376756,0.006825434,0.02333598,0.0004968817],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9702708,0.02347726,0.003172639,0.001665606,0.0005716561,0.0004250917,0.00031803,0.00001528334,0.00008368724],"genre_scores_gemma":[0.986478,0.005162839,0.005221369,0.0006597007,0.000329328,0.00152555,0.00002651277,0.00002553689,0.00057118],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3747605,"threshold_uncertainty_score":0.6808586,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0845525321097496,"score_gpt":0.3457317274428688,"score_spread":0.2611791953331192,"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."}}