{"id":"W3021342480","doi":"","title":"Cancer screening with digital mammography for women at average risk for breast cancer, magnetic resonance imaging (MRI) for women at high risk: an evidence-based analysis.","year":2010,"lang":"en","type":"article","venue":"PubMed","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Magnetic resonance imaging; Mammography; Breast cancer; Cancer; Radiology; Internal medicine","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0009094764,0.0005177948,0.0008344334,0.0007859418,0.0005326829,0.000353362,0.0003516413,0.00009962841,0.00007940065],"category_scores_gemma":[0.0001759391,0.0004300925,0.0005880908,0.001429229,0.0003495908,0.001200736,0.00007012742,0.0002784631,6.322848e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004870081,"about_ca_system_score_gemma":0.00013758,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005933806,"about_ca_topic_score_gemma":0.001223278,"domain_scores_codex":[0.9960455,0.00003644106,0.0005065232,0.001109524,0.0005020803,0.001799984],"domain_scores_gemma":[0.9969636,0.00057997,0.0004530298,0.0006996282,0.0004328293,0.0008709282],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.006002564,0.0001122537,0.5197581,0.000147407,0.0004187479,0.000004860823,0.0001439984,0.0002367154,0.00003066169,0.000006373928,0.0002276092,0.4729107],"study_design_scores_gemma":[0.007003029,0.0003784206,0.9679919,0.0001507075,0.001190944,0.00003291626,0.0001299834,0.007725966,0.000214589,0.0002383627,0.01431832,0.0006248608],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9748741,0.002288502,0.006233843,0.001257805,0.0002479806,0.004417269,0.01035342,0.0002044114,0.0001227046],"genre_scores_gemma":[0.9622068,0.0001550282,0.002231749,0.0003995777,0.0005192165,0.03253603,0.0001917336,0.0001189235,0.001640889],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4722858,"threshold_uncertainty_score":0.9998151,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009709460306876291,"score_gpt":0.2291292798167776,"score_spread":0.2194198195099012,"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."}}