{"id":"W2540236991","doi":"","title":"Utilizing Standardized Uptake Value (SUVmax) on FDG-PET/CT for the Prediction of Survival of Patients with Soft Tissue Sarcoma","year":2016,"lang":"en","type":"article","venue":"","topic":"Sarcoma Diagnosis and Treatment","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University Health Centre","funders":"","keywords":"Medicine; Standardized uptake value; Soft tissue sarcoma; Nuclear medicine; Sarcoma; Soft tissue; Log-rank test; Survival analysis; Positron emission tomography; Radiology; Surgery; Pathology","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":[0.0005994336,0.0003151736,0.0002363827,0.001104089,0.0001413998,0.0005070925,0.0002183509,0.0003172731,0.001084159],"category_scores_gemma":[0.001571868,0.0001317889,0.0002993497,0.0004185568,0.0001957923,0.0003588426,0.0002902984,0.0002242089,0.000373501],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001508495,"about_ca_system_score_gemma":0.0001831268,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005435979,"about_ca_topic_score_gemma":0.001306752,"domain_scores_codex":[0.9997942,0.00006084239,0.00003544393,0.00003457279,0.00004445618,0.00003056271],"domain_scores_gemma":[0.9994662,0.0001787597,0.0001853346,0.00002089615,0.00006858972,0.00008005502],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001210953,0.00001392098,0.9949579,0.000008363594,0.00001626436,0.00008372409,0.00001413423,0.000100386,0.0005177766,0.000008306046,0.00004854473,0.004109594],"study_design_scores_gemma":[0.000009383823,0.0003236861,0.9946164,0.00001177659,0.00004611415,0.001380177,0.000141757,0.002385305,0.0006021659,0.00006414087,0.0004122648,0.000006720222],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981564,0.0005087158,0.00046124,0.00003523427,0.000008156581,0.00001107884,0.0001926008,0.00001049097,0.0006159995],"genre_scores_gemma":[0.9991985,0.0001252105,0.0002725987,0.000006342293,0.000009954143,0.000007482503,0.000227252,0.000001213094,0.0001514876],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001104089,"threshold_uncertainty_score":0.003626823,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02682100788037764,"score_gpt":0.2788169235898855,"score_spread":0.2519959157095078,"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."}}