{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001804161,0.0002069384,0.0003545161,0.0001907913,0.00005492741,0.00003470992,0.00008988659,0.00002680737,0.0002098006],"category_scores_gemma":[0.0002748698,0.0001471271,0.00004706005,0.0004602775,0.00004743687,0.0006274632,0.0001222385,0.0002759684,0.00002197957],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008268991,"about_ca_system_score_gemma":0.00008156951,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003044028,"about_ca_topic_score_gemma":0.00001868878,"domain_scores_codex":[0.9983655,0.00007952269,0.0002861019,0.0004079287,0.0005343541,0.0003265802],"domain_scores_gemma":[0.9989867,0.00008844738,0.0001049729,0.0003048405,0.00037475,0.0001402447],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.07454897,0.0391553,0.4058036,0.01264326,0.009794424,0.01203295,0.05995762,0.02122664,0.06560266,0.003918787,0.1980741,0.09724167],"study_design_scores_gemma":[0.01713322,0.003078188,0.5961121,0.002771144,0.003048776,0.0002541814,0.006211726,0.0006562853,0.016959,0.00007034057,0.3526697,0.001035346],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9777184,0.00116522,0.001839066,0.007744587,0.0009641552,0.001325281,0.00001839908,0.0001035583,0.009121348],"genre_scores_gemma":[0.980638,0.0003246095,0.01652028,0.0001568309,0.0003101358,0.00008251244,0.00002509933,0.00003881523,0.001903776],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1903085,"threshold_uncertainty_score":0.599967,"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."}}