{"id":"W2162350372","doi":"10.1016/j.acra.2004.04.003","title":"Diagnostic accuracy of Fischer Senoscan Digital Mammography versus screen-film mammography in a diagnostic mammography population1","year":2004,"lang":"en","type":"article","venue":"Academic Radiology","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":46,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; Health Sciences Centre; Sunnybrook Health Science Centre","funders":"","keywords":"Mammography; Medicine; Digital mammography; Confidence interval; Diagnostic accuracy; Breast cancer; Radiology; Nuclear medicine; Cancer; Internal medicine","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004003369,0.0006075072,0.001096641,0.004571307,0.0001003229,0.00004228581,0.0005113145,0.0006080877,0.00004221831],"category_scores_gemma":[0.004754396,0.0005814543,0.0008002301,0.005879371,0.001089985,0.0008506312,0.0001211587,0.001311567,0.00002786942],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007544029,"about_ca_system_score_gemma":0.0001437273,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003890341,"about_ca_topic_score_gemma":0.00004238303,"domain_scores_codex":[0.9959977,0.0001159944,0.001376746,0.0008890327,0.0005133448,0.001107141],"domain_scores_gemma":[0.9938011,0.004446646,0.0004949219,0.0006605691,0.0001252754,0.0004714946],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009312583,0.0003943153,0.974658,0.0001161195,0.0004407348,0.0003276707,0.0002955137,0.0003765173,0.0004479754,0.003428924,0.001028478,0.01755454],"study_design_scores_gemma":[0.009845987,0.00113854,0.9746509,0.0007517923,0.0003515639,0.001067076,0.0003636968,0.00002920589,0.0003864935,0.00686549,0.00384273,0.0007064753],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9857655,0.005393121,0.0003073339,0.001956694,0.0005388049,0.001057835,0.0002020348,0.0001991425,0.004579598],"genre_scores_gemma":[0.9955113,0.002391117,0.0006558664,0.0004960953,0.000319321,0.0001134794,0.000411322,0.00008101383,0.00002051367],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01684807,"threshold_uncertainty_score":0.9996637,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01544040625440541,"score_gpt":0.2778020144080622,"score_spread":0.2623616081536568,"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."}}