{"id":"W3196485133","doi":"10.1177/08465371211029047","title":"Current Status of Contrast Enhanced Mammography: A Comprehensive Review","year":2021,"lang":"en","type":"review","venue":"Canadian Association of Radiologists Journal","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":47,"is_retracted":false,"has_abstract":true,"ca_institutions":"St Joseph's Health Care; Western University","funders":"","keywords":"Medicine; Mammography; Medical physics; Modality (human–computer interaction); Digital mammography; Magnetic resonance imaging; Radiology; Dynamic contrast; Breast cancer; Cancer; Computer science; Artificial intelligence","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":[0.001403353,0.0008815839,0.001573989,0.004991206,0.0003222057,0.001503158,0.001138161,0.001084419,0.005316752],"category_scores_gemma":[0.003573427,0.0003953569,0.0008071974,0.004122964,0.000541369,0.001845437,0.0006917818,0.001244228,0.001674443],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008439594,"about_ca_system_score_gemma":0.002714774,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00286705,"about_ca_topic_score_gemma":0.003962069,"domain_scores_codex":[0.9993817,0.000114786,0.0001488715,0.00008925106,0.0002267929,0.00003849495],"domain_scores_gemma":[0.9975795,0.001381764,0.0003212511,0.00004522284,0.0005873822,0.00008494652],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006108869,0.00003627966,0.0003939118,0.04127392,0.0001157704,0.0002570662,0.00008196959,0.0001494791,0.0005693025,0.001162127,0.02807724,0.9278219],"study_design_scores_gemma":[0.00001785401,0.0001002367,0.001906525,0.02980856,0.0005174073,0.00377281,0.0001459823,0.000105974,0.000335753,0.001117455,0.9621249,0.00004648464],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00005141412,0.9991881,0.00004723229,0.000243639,0.0001087052,0.000003186853,0.00001476357,0.00000485855,0.000338018],"genre_scores_gemma":[0.0003585985,0.9990569,0.000130234,0.0001411937,0.0001819977,0.000003376108,0.00002422781,0.000001133574,0.0001023893],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.005316752,"threshold_uncertainty_score":0.01778632,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03706750512442769,"score_gpt":0.3411392281782469,"score_spread":0.3040717230538192,"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."}}