{"id":"W2914820491","doi":"10.1016/j.radonc.2019.01.022","title":"MRI heterogeneity analysis for prediction of recurrence and disease free survival in anal cancer","year":2019,"lang":"en","type":"article","venue":"Radiotherapy and Oncology","topic":"Colorectal and Anal Carcinomas","field":"Medicine","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Centre For Medical Engineering, King’s College London; Medical Research Council; University College London; Engineering and Physical Sciences Research Council; National Institute for Health and Care Research; King's College London; King's University College; King's College Hospital NHS Foundation Trust; Cancer Research UK; Wellcome Trust","keywords":"Medicine; Magnetic resonance imaging; Radiology; Clinical endpoint; Chemoradiotherapy; Surrogate endpoint; Diffusion MRI; Imaging biomarker; Clinical trial; Radiation therapy; Nuclear medicine; Internal medicine","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001531625,0.00006527715,0.0003372023,0.0001221559,0.00001591356,0.00000239799,0.00002923836,0.0000569475,0.00005446389],"category_scores_gemma":[0.00002124075,0.0000534498,0.0000692914,0.0001799928,0.00006343859,0.00002811086,0.00001081021,0.00005543577,6.739909e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000862468,"about_ca_system_score_gemma":0.00009360162,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001493748,"about_ca_topic_score_gemma":0.001424794,"domain_scores_codex":[0.9994721,0.00004120772,0.0001418073,0.000183088,0.00006054315,0.0001012425],"domain_scores_gemma":[0.9996313,0.0000882475,0.00004926624,0.00009742688,0.00003067612,0.0001030423],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001777727,0.0000829925,0.9875459,0.00008637398,0.0001842804,0.000003871704,0.000145388,0.00003825911,0.00227263,0.0001286724,0.00004302022,0.007690889],"study_design_scores_gemma":[0.002483909,0.00110128,0.9866109,0.0000190723,0.0002071484,0.000003255084,0.00002743364,0.007241837,0.0001287841,0.0001643376,0.00196557,0.00004641683],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9934775,0.004513456,0.0004459589,0.000968035,0.0001079299,0.0002724846,0.0001530917,0.00000534532,0.00005620974],"genre_scores_gemma":[0.997489,0.001921453,0.0002314917,0.0001677477,0.00007891842,0.00002540176,0.00001840887,0.000004088936,0.00006353891],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007644472,"threshold_uncertainty_score":0.217962,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02517094219612727,"score_gpt":0.3177918874135052,"score_spread":0.292620945217378,"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."}}