{"id":"W2375833844","doi":"","title":"Application of tomosynthesis Technology in Diagnosis of Breast Cancer","year":2012,"lang":"en","type":"article","venue":"China Medical Devices","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"CAE (Canada)","funders":"","keywords":"Tomosynthesis; Breast cancer; Medicine; Radiology; Digital Breast Tomosynthesis; Mammography; Cancer; Nuclear medicine; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009816614,0.0003131124,0.0001577684,0.001581085,0.0001673603,0.0002755916,0.0001913663,0.0003805252,0.001119155],"category_scores_gemma":[0.001889893,0.0001614613,0.0001618559,0.0004919368,0.000404881,0.0002727495,0.0002429533,0.0001370004,0.0002153117],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001864007,"about_ca_system_score_gemma":0.0001808102,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004694224,"about_ca_topic_score_gemma":0.0005719573,"domain_scores_codex":[0.9994154,0.0002723748,0.00003764758,0.00007484903,0.0001520197,0.00004771116],"domain_scores_gemma":[0.9993914,0.0003150243,0.0001054246,0.0000356786,0.0001070988,0.00004535759],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001279821,0.0001153325,0.6541194,0.0005005048,0.0001259343,0.003234515,0.0003329002,0.001050759,0.1421779,0.0003306676,0.0005041184,0.1962282],"study_design_scores_gemma":[0.00007309853,0.00240471,0.874523,0.000126749,0.0004631196,0.03956925,0.000721222,0.005875355,0.06655418,0.0007547613,0.008885661,0.00004898849],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9674787,0.017493,0.01013232,0.0002278025,0.00004081789,0.00004315828,0.0001058195,0.00009985533,0.004378528],"genre_scores_gemma":[0.9926614,0.002412076,0.0045508,0.00004034244,0.00005011413,0.000008488628,0.000036493,0.000003896668,0.0002366079],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001581085,"threshold_uncertainty_score":0.005191565,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006042337625080464,"score_gpt":0.2734399569678215,"score_spread":0.2673976193427411,"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."}}