{"id":"W4321786057","doi":"10.1038/s41598-022-27213-8","title":"CT-based assessment of sarcopenia for differentiating wild-type from mutant-type gastrointestinal stromal tumor","year":2023,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Gastrointestinal Tumor Research and Treatment","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"SKiN Health","funders":"Xiangya Hospital, Central South University; Natural Science Foundation of Hainan Province; National Natural Science Foundation of China","keywords":"GiST; Sarcopenia; Medicine; Nomogram; Logistic regression; Internal medicine; PDGFRA; Cohort; Oncology; Area under the curve; Stromal tumor; Regorafenib; Colorectal cancer; Cancer; Stromal cell","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":[0.001858989,0.0008389925,0.0006318568,0.002625162,0.0001673936,0.0008040848,0.0003492686,0.0004808094,0.0009641644],"category_scores_gemma":[0.004617122,0.0002876722,0.0004795584,0.0009874842,0.0003255364,0.0006201722,0.0005806299,0.0003488709,0.0004299653],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001606372,"about_ca_system_score_gemma":0.0001850464,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005540203,"about_ca_topic_score_gemma":0.001770296,"domain_scores_codex":[0.9993285,0.0003086814,0.0001060701,0.0001063666,0.000103981,0.00004644663],"domain_scores_gemma":[0.997983,0.0008369214,0.0005407584,0.0001493246,0.0003400167,0.0001500403],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008408262,0.00003629017,0.9545819,0.0001500804,0.0001940726,0.0003142389,0.0000673137,0.002368852,0.005706046,0.00008931857,0.0005376468,0.03511324],"study_design_scores_gemma":[0.00003711179,0.0003689978,0.9640456,0.0001057761,0.0002643862,0.00326355,0.0001869131,0.02662482,0.003164069,0.0003386208,0.001565165,0.00003505414],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9782358,0.003733694,0.01437109,0.0001301278,0.00004707603,0.0000651735,0.001076005,0.0002014746,0.002139426],"genre_scores_gemma":[0.9915993,0.0008572573,0.00615924,0.000032655,0.00003966202,0.00004423908,0.0009823201,0.00002296328,0.0002623321],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002625162,"threshold_uncertainty_score":0.009831429,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04388154763173058,"score_gpt":0.3464719843431097,"score_spread":0.3025904367113791,"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."}}