{"id":"W2088047356","doi":"10.1002/cncr.20971","title":"Screening women at high risk for breast cancer with mammography and magnetic resonance imaging","year":2005,"lang":"en","type":"article","venue":"Cancer","topic":"BRCA gene mutations in cancer","field":"Biochemistry, Genetics and Molecular Biology","cited_by":400,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Sunnybrook Health Science Centre","funders":"National Cancer Institute","keywords":"Medicine; Mammography; Breast cancer; Magnetic resonance imaging; Asymptomatic; Breast MRI; Cancer; Biopsy; Radiology; Breast cancer screening; Confidence interval; Occult; Overdiagnosis; Internal medicine; Pathology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002532237,0.0003249466,0.0003545761,0.000717814,0.0002024319,0.0004420935,0.0002764838,0.0006980457,0.001001585],"category_scores_gemma":[0.0103026,0.0001766895,0.0003934678,0.0004945876,0.0002840068,0.0003557864,0.0003669117,0.000244916,0.0001500961],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001911752,"about_ca_system_score_gemma":0.0002827788,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000883457,"about_ca_topic_score_gemma":0.001627231,"domain_scores_codex":[0.9984556,0.0008886949,0.0001060305,0.0001600625,0.000253356,0.0001361841],"domain_scores_gemma":[0.9963708,0.002019671,0.0009537744,0.0001040676,0.0002040684,0.0003476007],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001495578,0.0001518487,0.9907766,0.00004690874,0.0001039426,0.0001264885,0.00007369035,0.00008848088,0.0004393781,0.00003082603,0.00006931856,0.006596867],"study_design_scores_gemma":[0.000122904,0.002104642,0.9946659,0.00007098583,0.0002664098,0.001171854,0.0001960711,0.0005226338,0.0004533787,0.00007923286,0.0003340323,0.00001199704],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981396,0.001033139,0.0001112519,0.00009575187,0.000008548583,0.00002469541,0.00003310251,0.000003588653,0.0005503302],"genre_scores_gemma":[0.9993168,0.000228757,0.0002620904,0.00006035355,0.00002132604,0.00000998274,0.00005287627,7.529201e-7,0.00004711223],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002532237,"threshold_uncertainty_score":0.01339197,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00452599221350232,"score_gpt":0.2353709997363298,"score_spread":0.2308450075228275,"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."}}