{"id":"W3095632729","doi":"10.1177/0846537120968782","title":"Validation of Prognostic Radiomic Features From Resectable Pancreatic Ductal Adenocarcinoma in Patients With Advanced Disease Undergoing Chemotherapy","year":2020,"lang":"en","type":"article","venue":"Canadian Association of Radiologists Journal","topic":"Radiomics and Machine Learning in Medical Imaging","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; University Health Network; Sinai Health System; Lunenfeld-Tanenbaum Research Institute; Mount Sinai Hospital; Ontario Institute for Cancer Research","funders":"Ontario Institute for Cancer Research","keywords":"Medicine; Hazard ratio; Pancreatic ductal adenocarcinoma; Internal medicine; Oncology; Proportional hazards model; Chemotherapy; Confidence interval; Stage (stratigraphy); Multivariate analysis; Adenocarcinoma; Radiology; Pancreatic cancer; Cancer","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.0003148464,0.0001253864,0.0004181745,0.0001900154,0.0000698271,0.00001687848,0.0001129459,0.00008216436,0.00005672614],"category_scores_gemma":[0.003446916,0.0001067096,0.00007034407,0.0002518012,0.00006922243,0.0001159034,0.000006479249,0.0004453662,9.516813e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007739175,"about_ca_system_score_gemma":0.001059469,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00143026,"about_ca_topic_score_gemma":0.0004016726,"domain_scores_codex":[0.9986648,0.0001532356,0.0003844581,0.0001826815,0.0003432693,0.0002715761],"domain_scores_gemma":[0.9984193,0.0002440278,0.0005230239,0.0001006425,0.0001839317,0.0005290066],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004688172,0.0000370965,0.9965178,0.00004627826,0.0001372943,0.00006585279,0.0004160422,0.0008768781,0.0003152722,0.00001489964,0.000749981,0.0003537707],"study_design_scores_gemma":[0.004791698,0.0003739422,0.9935499,0.0002325646,0.0001051121,0.00001304142,0.00006437742,0.0005399161,0.0001062994,0.00008461026,0.00004014333,0.00009832458],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.993776,0.0005172764,0.0002102157,0.005010064,0.0000831284,0.0002823726,0.00003337882,0.000009536362,0.00007806638],"genre_scores_gemma":[0.9975719,0.0001095016,0.001487862,0.0005059405,0.0001423807,0.00000321228,0.0001203754,0.00002085908,0.00003792572],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004504123,"threshold_uncertainty_score":0.4351493,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00591809272501946,"score_gpt":0.2248777377214105,"score_spread":0.218959644996391,"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."}}