{"id":"W4294921090","doi":"10.1002/jcsm.13071","title":"Impact of body composition and genotype on haemodynamics during surgery for pheochromocytoma and paraganglioma","year":2022,"lang":"en","type":"article","venue":"Journal of Cachexia Sarcopenia and Muscle","topic":"Adrenal and Paraganglionic Tumors","field":"Medicine","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"SKiN Health","funders":"Innovation-Driven Project of Central South University; China Postdoctoral Science Foundation; Natural Science Foundation of Hunan Province; Fundamental Research Funds for Central Universities of the Central South University; Hunan Provincial Innovation Foundation for Postgraduate; National Natural Science Foundation of China","keywords":"Medicine; Paraganglioma; Hemodynamics; Pheochromocytoma; Odds ratio; Body mass index; Internal medicine; Confidence interval; Sarcopenia; Endocrinology; Surgery; Cardiology","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":[0.0003182911,0.0001179202,0.0004243588,0.0001693507,0.0001570438,0.00001408299,0.00003756693,0.00003464191,0.00003577792],"category_scores_gemma":[0.00002071558,0.00009284276,0.0001386381,0.0001157784,0.00006281794,0.00008773765,0.00004774186,0.00017635,1.744013e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006408151,"about_ca_system_score_gemma":0.0001094906,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001756111,"about_ca_topic_score_gemma":0.000001245893,"domain_scores_codex":[0.9991441,0.00004787707,0.0003319185,0.0001208693,0.0002037364,0.0001515306],"domain_scores_gemma":[0.999241,0.0001534752,0.0002820673,0.00008069374,0.00009049619,0.0001522944],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.07931434,0.00394003,0.1051334,0.003545699,0.003540549,0.03727007,0.006572934,0.001884065,0.6598219,0.001288706,0.003060388,0.09462787],"study_design_scores_gemma":[0.004102586,0.002753617,0.952247,0.0002422229,0.0002758498,0.03399066,0.0002095643,0.001252988,0.004478042,0.0002096708,0.00007230071,0.0001654755],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978939,0.001515823,0.00005856532,0.0001942448,0.00006790025,0.0001836507,0.00003813637,0.000005204596,0.00004252029],"genre_scores_gemma":[0.9995292,0.0000621302,0.0002143567,0.0000413604,0.00008597696,0.000004085034,0.0000111637,0.00001654465,0.00003512658],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8471136,"threshold_uncertainty_score":0.3786018,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01637295947983346,"score_gpt":0.2837089278490735,"score_spread":0.26733596836924,"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."}}