{"id":"W6963912352","doi":"10.24433/co.1329803.v1","title":"Measured intrapatient radiomic variability as a predictor of treatment response in multi-metastatic soft tissue sarcoma patients","year":2025,"lang":"en","type":"other","venue":"Code Ocean","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Sarcoma; Metric (unit); Radiomics; Biopsy; Feature (linguistics); Soft tissue sarcoma; Response Evaluation Criteria in Solid Tumors; Cancer","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":[0.000830608,0.0001332299,0.0002742964,0.000351353,0.000095538,0.0004067208,0.0001691104,0.0002332924,0.001653022],"category_scores_gemma":[0.003340811,0.00007507461,0.0002024485,0.0003708614,0.0001320715,0.0002221419,0.0003593733,0.0003520853,0.0003547592],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002191289,"about_ca_system_score_gemma":0.0001375654,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004360541,"about_ca_topic_score_gemma":0.0007947073,"domain_scores_codex":[0.9996421,0.0001464023,0.00003468406,0.00007053282,0.00007623915,0.00002995179],"domain_scores_gemma":[0.9982226,0.0008401099,0.0005260717,0.0001311503,0.0001450314,0.0001349297],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002772141,0.00009799789,0.9394315,0.00004987256,0.0001136402,0.00008118433,0.00007557871,0.002305107,0.006927956,0.0001027765,0.0009807667,0.04706142],"study_design_scores_gemma":[0.00006604666,0.000894037,0.9891584,0.00001307433,0.0000650343,0.0002820995,0.00006972485,0.005643298,0.002117474,0.0003100634,0.001366261,0.00001447812],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.9963217,0.000406029,0.001218606,0.0001020082,0.000009382348,0.00001619899,0.0008764908,0.00002185595,0.001027762],"genre_scores_gemma":[0.9978935,0.00006851771,0.0005244998,0.00004681852,0.00001568637,0.00002000841,0.001057673,0.00001468119,0.0003587087],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.001653022,"threshold_uncertainty_score":0.005529881,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02318612015020102,"score_gpt":0.2893162193373643,"score_spread":0.2661300991871633,"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."}}