{"id":"W3094442651","doi":"10.1016/j.ijrobp.2020.07.2583","title":"Whole-Body Radiomics for Prediction of Treatment Failure in Cervical Cancer","year":2020,"lang":"en","type":"article","venue":"International Journal of Radiation Oncology*Biology*Physics","topic":"Radiomics and Machine Learning in Medical Imaging","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Chemoradiotherapy; Confidence interval; Cervical cancer; Radiomics; Radiation treatment planning; Nuclear medicine; Radiology; Radiation therapy; Cancer; Internal medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0008094647,0.0003537615,0.0002574349,0.001389901,0.0004830893,0.0006145765,0.0007369954,0.0005132586,0.003908484],"category_scores_gemma":[0.003761263,0.0001443894,0.0003132638,0.0008888541,0.0003558149,0.0003075557,0.0004407787,0.0004460236,0.0007059527],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001751762,"about_ca_system_score_gemma":0.001971423,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1779839,"about_ca_topic_score_gemma":0.2296636,"domain_scores_codex":[0.9996574,0.00007149298,0.00003330657,0.00005406877,0.0001279215,0.00005591068],"domain_scores_gemma":[0.9985972,0.0002937426,0.0004009914,0.00005826765,0.000381004,0.0002688209],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001090043,0.00002394459,0.993404,0.00003180118,0.00001543342,0.00001675813,0.0000294953,0.0001946933,0.0001004439,0.00001061544,0.0004319458,0.005632013],"study_design_scores_gemma":[0.000007596075,0.0001346366,0.9959705,0.00003999483,0.00004667551,0.0001686336,0.0001781807,0.002117025,0.0002334797,0.00003717756,0.001058341,0.000007679716],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9826757,0.00336926,0.0006335995,0.0004762817,0.00005431748,0.0001400135,0.004516406,0.0001054385,0.00802898],"genre_scores_gemma":[0.9973653,0.0003791863,0.0005500989,0.00004591195,0.00001344275,0.00002493149,0.0009727386,0.000005387243,0.0006430651],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1779839,"threshold_uncertainty_score":0.3538958,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02189438501143476,"score_gpt":0.3442533235207351,"score_spread":0.3223589385093004,"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."}}