{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004969853,0.000567969,0.0007714233,0.002179221,0.000299744,0.0009222518,0.0005432363,0.000530554,0.0006022812],"category_scores_gemma":[0.01261848,0.0001920256,0.001239311,0.0007417625,0.0003164966,0.0005656824,0.0007775264,0.0006041745,0.0001748687],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005689413,"about_ca_system_score_gemma":0.0004236516,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001487393,"about_ca_topic_score_gemma":0.001904503,"domain_scores_codex":[0.9986418,0.0006287225,0.0001326684,0.0002551797,0.0002520132,0.0000897149],"domain_scores_gemma":[0.9915632,0.004327117,0.002580851,0.0006183213,0.000615367,0.0002951066],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001073696,0.00008069679,0.9640687,0.00006824049,0.0006621034,0.00009830821,0.00005555166,0.0111157,0.001672081,0.00006794645,0.0002173594,0.02081972],"study_design_scores_gemma":[0.00005892135,0.00136705,0.8737645,0.00007344583,0.0009550641,0.0009387233,0.0001799621,0.1176676,0.003123333,0.0009551788,0.0008592635,0.00005704093],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9917228,0.001484916,0.005785318,0.0001704939,0.00002171452,0.00004365197,0.0003352072,0.00004906701,0.0003868644],"genre_scores_gemma":[0.9985479,0.00008919198,0.001016305,0.00001336587,0.00001834446,0.00001161639,0.0002369013,0.00000674999,0.00005968825],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004969853,"threshold_uncertainty_score":0.02628338,"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."}}