{"id":"W3091991241","doi":"10.3389/frai.2020.550890","title":"Prognostic Value of Transfer Learning Based Features in Resectable Pancreatic Ductal Adenocarcinoma","year":2020,"lang":"en","type":"article","venue":"Frontiers in Artificial Intelligence","topic":"Radiomics and Machine Learning in Medical Imaging","field":"Medicine","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hospital for Sick Children; Sinai Health System; Sunnybrook Health Science Centre; Health Sciences Centre; Lunenfeld-Tanenbaum Research Institute; University of Alberta; University Health Network; University of Toronto","funders":"Canadian Cancer Society Research Institute; Terry Fox Research Institute; Pancreatic Cancer Canada Foundation; Hebrew University of Jerusalem; Government of Ontario; Ontario Institute for Cancer Research; Princess Margaret Cancer Foundation","keywords":"Pancreatic ductal adenocarcinoma; Value (mathematics); Medicine; Pancreatic carcinoma; Internal medicine; Oncology; Pancreatic cancer; Computer science; Cancer; Machine learning","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002091554,0.0006994175,0.0005056209,0.0008342059,0.000188312,0.0006277065,0.0004647811,0.0005145072,0.0009231222],"category_scores_gemma":[0.007550899,0.0001376427,0.0006956033,0.0003917162,0.000408238,0.0007360094,0.0006456212,0.0008225854,0.0002737885],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007214652,"about_ca_system_score_gemma":0.0003865565,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001574222,"about_ca_topic_score_gemma":0.001397449,"domain_scores_codex":[0.9995576,0.0001424068,0.00003509251,0.0001070355,0.00009595266,0.0000618888],"domain_scores_gemma":[0.9972441,0.001357719,0.0005918341,0.0002181584,0.000394954,0.000193257],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001910797,0.0003692155,0.782414,0.0001340703,0.0003032857,0.0005802289,0.0001127368,0.08873827,0.005219967,0.000324351,0.001565134,0.1183279],"study_design_scores_gemma":[0.00007683316,0.001770026,0.3089378,0.00007568151,0.000435959,0.001119967,0.0001542781,0.6709451,0.01171447,0.003137912,0.001548442,0.00008346303],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9843055,0.0008922244,0.01281793,0.0003653303,0.00004940409,0.00003901579,0.0004248139,0.0001875455,0.0009183024],"genre_scores_gemma":[0.9985139,0.00007827563,0.0008797733,0.00002398154,0.00001353573,0.00001281214,0.000294663,0.000006631858,0.0001763592],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002091554,"threshold_uncertainty_score":0.01106137,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02112175603968496,"score_gpt":0.2777843000506922,"score_spread":0.2566625440110072,"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."}}