{"id":"W4280507273","doi":"10.1097/rlu.0000000000004253","title":"Combined 18F-FDG PET/CT Radiomics and Sarcopenia Score in Predicting Relapse-Free Survival and Overall Survival in Patients With Esophagogastric Cancer","year":2022,"lang":"en","type":"article","venue":"Clinical Nuclear Medicine","topic":"Radiomics and Machine Learning in Medical Imaging","field":"Medicine","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; Toronto General Hospital; University Health Network; Health Sciences Centre; Sunnybrook Health Science Centre","funders":"","keywords":"Medicine; Sarcopenia; Radiomics; Cancer; Stage (stratigraphy); Internal medicine; Esophageal cancer; Adenocarcinoma; Positron emission tomography; Radiology; Oncology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002735719,0.0002954812,0.001120182,0.0003019456,0.0001772242,0.00002086252,0.000276928,0.00003244688,0.000319435],"category_scores_gemma":[0.002857672,0.0002367377,0.00005601878,0.000496896,0.0006421807,0.0001048604,0.000502508,0.00218349,0.000001666408],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001815628,"about_ca_system_score_gemma":0.0001300154,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009110585,"about_ca_topic_score_gemma":0.00007974954,"domain_scores_codex":[0.996516,0.000453442,0.001011648,0.0007138028,0.0008118514,0.0004932493],"domain_scores_gemma":[0.9978553,0.0009018269,0.0002655347,0.000451388,0.00006012094,0.0004658389],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002299779,0.000392283,0.98791,0.00009504882,0.00006391511,0.00105527,0.0002486455,0.00006317245,0.000009661802,0.000204179,0.00131219,0.006345818],"study_design_scores_gemma":[0.03647817,0.002713412,0.9459105,0.0005188346,0.0001244344,0.0001271942,0.0004684373,0.01129381,1.522787e-7,0.0001299787,0.002021732,0.0002133767],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9869988,0.0005733164,0.000004574254,0.0103445,0.0008450141,0.0006330815,0.000016475,0.00005961775,0.0005246559],"genre_scores_gemma":[0.9961129,0.0006092572,0.0004404152,0.002258111,0.0002874713,0.00001702615,0.00005168916,0.00008976157,0.000133318],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04199956,"threshold_uncertainty_score":0.9653884,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02079249347028335,"score_gpt":0.3057204929899885,"score_spread":0.2849279995197052,"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."}}