{"id":"W4317476350","doi":"10.1177/08465371231153030","title":"The Role of Computed Tomography and Magnetic Resonance Imaging in Accurate Size Estimation of Pancreatic Ductal Adenocarcinoma","year":2023,"lang":"en","type":"editorial","venue":"Canadian Association of Radiologists Journal","topic":"Pancreatic and Hepatic Oncology Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University; University of Toronto; University Health Network","funders":"","keywords":"Medicine; Pancreatic ductal adenocarcinoma; Magnetic resonance imaging; Computed tomography; Radiology; Multidetector computed tomography; Computed tomography laser mammography; Adenocarcinoma; Tomography; Preclinical imaging; Pancreatic cancer; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009207495,0.003439392,0.005714704,0.005257011,0.002051223,0.006610215,0.004467137,0.01458724,0.004087173],"category_scores_gemma":[0.03224382,0.001638212,0.003050047,0.001654219,0.003030224,0.003514466,0.001060064,0.01965747,0.003476802],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003816189,"about_ca_system_score_gemma":0.002799212,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003402486,"about_ca_topic_score_gemma":0.007417987,"domain_scores_codex":[0.9950352,0.0007258899,0.001007834,0.000507544,0.002424553,0.0002989326],"domain_scores_gemma":[0.9534362,0.0191103,0.001506314,0.0007830901,0.02055756,0.004606626],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002054569,0.00002992919,0.0001835272,0.000800317,0.00009596055,0.0006557341,0.00002498923,0.00007993777,0.0001965433,0.0003482508,0.9753467,0.0220327],"study_design_scores_gemma":[0.000346722,0.0001513242,0.002541486,0.001534301,0.0005429886,0.00261148,0.0001439533,0.001073019,0.0006143523,0.001476417,0.9888629,0.0001010469],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.0001020096,0.01256233,0.0002393555,0.02165378,0.9643677,0.00002021816,0.00003777994,0.00005011095,0.000966529],"genre_scores_gemma":[0.0005774095,0.005136412,0.0001491921,0.007061496,0.9857591,0.00001109272,0.00001648912,0.00001962225,0.001269187],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.01458724,"threshold_uncertainty_score":0.04869449,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008409590429000014,"score_gpt":0.2762019362326482,"score_spread":0.2677923458036482,"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."}}