{"id":"W4396748906","doi":"10.1016/j.eprac.2024.03.250","title":"#1782591 Potential to Optimize Weight Loss with Enobosarm: Augment Reduction of Fat Mass while Preserving Muscle in Older Patients with Obesity","year":2024,"lang":"en","type":"article","venue":"Endocrine Practice","topic":"Diet and metabolism studies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Augment; Medicine; Weight loss; Reduction (mathematics); Obesity; Fat mass; Muscle mass; Internal medicine","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":[0.0009751586,0.0004214284,0.0008624409,0.0002874643,0.0003146248,0.0009122312,0.0003751645,0.001045028,0.0424998],"category_scores_gemma":[0.00136549,0.0001429598,0.0004575684,0.0003067422,0.0003527525,0.0007877984,0.0004057637,0.001052484,0.006145852],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003156746,"about_ca_system_score_gemma":0.0009687842,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008926892,"about_ca_topic_score_gemma":0.002752398,"domain_scores_codex":[0.9997734,0.00008468135,0.00002805842,0.0000270104,0.00005513874,0.00003174336],"domain_scores_gemma":[0.9993437,0.0002062216,0.00008428955,0.00003213458,0.0001062855,0.0002273338],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.05764945,0.006644641,0.02394211,0.003744286,0.0007534683,0.0010359,0.0001865228,0.0003203706,0.02476966,0.003133096,0.07858612,0.7992344],"study_design_scores_gemma":[0.05276758,0.110604,0.2627298,0.005513282,0.003005869,0.00314323,0.001263502,0.001377629,0.01793438,0.003279694,0.5382146,0.0001664181],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6181827,0.09535016,0.001564196,0.06901926,0.01016091,0.001306644,0.004905517,0.0004342037,0.1990765],"genre_scores_gemma":[0.7744858,0.05008888,0.01195041,0.03496277,0.008757057,0.0009315737,0.003011641,0.0001633132,0.1156485],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0424998,"threshold_uncertainty_score":0.142176,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008757682050512729,"score_gpt":0.2639139068835646,"score_spread":0.2551562248330518,"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."}}