{"id":"W2443123922","doi":"10.1111/tbj.12624","title":"Impact of Breast Density Legislation on Breast Cancer Risk Assessment and Supplemental Screening: A Survey of 110 Radiology Facilities","year":2016,"lang":"en","type":"article","venue":"The Breast Journal","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Legislation; Medicine; Breast density; Breast cancer; Risk assessment; Breast imaging; Mammography; Environmental health; Medical physics; Law; Cancer; Internal medicine; Political science; Computer security","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":[0.001163572,0.0002129848,0.0004569536,0.0002207641,0.0001418551,0.00003474717,0.0001338578,0.00005347092,0.0003670777],"category_scores_gemma":[0.00003046412,0.0001059183,0.0002530613,0.0001959379,0.000472616,0.0003047177,0.00005216702,0.0002790897,0.000001035292],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001289473,"about_ca_system_score_gemma":0.0002521111,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004673136,"about_ca_topic_score_gemma":0.0001450669,"domain_scores_codex":[0.9983076,0.0003379477,0.0004525806,0.0001853311,0.0003900361,0.0003265394],"domain_scores_gemma":[0.9984513,0.0002783782,0.0004653963,0.0002299372,0.0003834968,0.000191492],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002104387,0.0001648965,0.8820002,0.00001332268,0.0005507911,0.000007860665,0.0001420506,0.000009804447,0.001690271,0.00004725841,0.000349767,0.1129194],"study_design_scores_gemma":[0.00248117,0.0004476946,0.961153,0.0002899602,0.0001371427,0.03489515,0.0001476232,0.00008346562,0.0000782418,0.0001717587,0.000005718056,0.000109134],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9904708,0.0001012686,0.001157685,0.001478044,0.00007957665,0.000168678,0.006293688,0.00001141178,0.0002388829],"genre_scores_gemma":[0.9994934,0.000145997,0.00008936557,0.00002026373,0.000149307,0.000002661474,0.00002625073,0.00001527163,0.00005753655],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1128102,"threshold_uncertainty_score":0.7064415,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02317601717736616,"score_gpt":0.320093172734308,"score_spread":0.2969171555569419,"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."}}