{"id":"W2252250982","doi":"10.1148/radiol.2015152344","title":"Digital Compared with Screen-Film Mammography: Measures of Diagnostic Accuracy among Women Screened in the Ontario Breast Screening Program—Evidence that Direct Radiography Is Superior to Computed Radiography for Cancer Detection","year":2016,"lang":"en","type":"letter","venue":"Radiology","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Medicine; Mammography; Radiography; Digital mammography; Computed radiography; Breast cancer screening; Radiology; Breast imaging; Breast cancer; Digital radiography; Diagnostic accuracy; Medical physics; Medical imaging; Nuclear medicine; Cancer; Internal medicine; Artificial intelligence; Image quality","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":[0.0008840942,0.00125115,0.00264184,0.003722157,0.0002588025,0.0003388053,0.001137706,0.0007263921,0.0000373986],"category_scores_gemma":[0.0003187958,0.0008232368,0.001492974,0.003319982,0.001489859,0.000922161,0.0001066637,0.001503062,0.000001856822],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003032592,"about_ca_system_score_gemma":0.0003037372,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008914947,"about_ca_topic_score_gemma":0.007311869,"domain_scores_codex":[0.9937254,0.000395725,0.001180922,0.001652455,0.001085453,0.001960007],"domain_scores_gemma":[0.9925614,0.004374956,0.0009217423,0.001231053,0.0005041876,0.0004066359],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003612361,0.0002292469,0.7392874,0.0004368404,0.002485945,0.0003340078,0.001388897,0.00003792293,0.00006783276,0.000001608333,0.02560701,0.2265109],"study_design_scores_gemma":[0.005526125,0.004009044,0.8007911,0.006913819,0.001132017,0.002287221,0.0004250272,0.00008902935,0.0002046549,0.00004486322,0.1770066,0.001570467],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8368594,0.007089462,0.02056213,0.1061862,0.001108355,0.02142396,0.004887301,0.0008695085,0.001013685],"genre_scores_gemma":[0.9589179,0.0002505723,0.001697897,0.03281171,0.001422199,0.004065697,0.0005493505,0.0002030092,0.00008164651],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2249404,"threshold_uncertainty_score":0.9994218,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0325042687452876,"score_gpt":0.2653254978050832,"score_spread":0.2328212290597956,"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."}}