{"id":"W3119758656","doi":"10.3390/diagnostics11010072","title":"Delta Radiomics Analysis for Local Control Prediction in Pancreatic Cancer Patients Treated Using Magnetic Resonance Guided Radiotherapy","year":2021,"lang":"en","type":"article","venue":"Diagnostics","topic":"Radiomics and Machine Learning in Medical Imaging","field":"Medicine","cited_by":51,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Magnetic resonance imaging; Medicine; Receiver operating characteristic; Radiation therapy; Pancreatic cancer; Wilcoxon signed-rank test; Nuclear medicine; Mann–Whitney U test; Radiomics; Radiology; 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":[0.0007202383,0.0003021386,0.0004116173,0.001011718,0.0001250603,0.0005886593,0.0002125271,0.0002475688,0.0003722794],"category_scores_gemma":[0.002345238,0.0001074592,0.0002602199,0.000446466,0.0001959673,0.0002283157,0.0003138943,0.0002662168,0.000114981],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002246116,"about_ca_system_score_gemma":0.0001624391,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009671656,"about_ca_topic_score_gemma":0.001143991,"domain_scores_codex":[0.9997687,0.00009046344,0.00002294593,0.00004450031,0.0000451017,0.00002835191],"domain_scores_gemma":[0.9987736,0.0005007726,0.0003483948,0.00008842273,0.0001555683,0.0001331335],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001095478,0.0000520699,0.9647212,0.0000312669,0.00006388377,0.0001232587,0.0000517127,0.003359687,0.002748328,0.00003711921,0.0001871345,0.02752877],"study_design_scores_gemma":[0.00002594068,0.0007684152,0.957208,0.00001846731,0.0001495647,0.0005373478,0.0001530707,0.03728881,0.002883712,0.000240912,0.0007023096,0.00002343751],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9974173,0.0005978054,0.001485964,0.00003126554,0.000009376708,0.000007206891,0.0001123424,0.00003111013,0.0003075398],"genre_scores_gemma":[0.9992925,0.00006242085,0.0004526681,0.000006094396,0.000006824926,0.00000365649,0.0001181978,0.000003525411,0.00005425519],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001011718,"threshold_uncertainty_score":0.003808975,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01276491160011757,"score_gpt":0.2956278616299662,"score_spread":0.2828629500298487,"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."}}