{"id":"W4387969167","doi":"10.1097/js9.0000000000000846","title":"Comment on ‘Impact of sarcopenia on outcomes in surgical patients: a systematic review and meta-analysis’","year":2023,"lang":"en","type":"review","venue":"International Journal of Surgery","topic":"Nutrition and Health in Aging","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Impact","funders":"","keywords":"Medicine; License; Sarcopenia; China; Meta-analysis; Emergency department; Nursing; Internal medicine; Law; Political science","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":[0.04021177,0.002656172,0.005263875,0.004192842,0.002143882,0.003434414,0.006295144,0.01843454,0.01912748],"category_scores_gemma":[0.2173236,0.001894195,0.01005982,0.005587675,0.002585141,0.005580862,0.003261684,0.01249791,0.007023987],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005340357,"about_ca_system_score_gemma":0.01073757,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01520198,"about_ca_topic_score_gemma":0.01857546,"domain_scores_codex":[0.9717781,0.009113578,0.007168811,0.002791042,0.00785195,0.001296541],"domain_scores_gemma":[0.8824824,0.0690759,0.01362044,0.003220575,0.02969482,0.001905843],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003592968,0.000009324526,0.0004447021,0.0204452,0.001349498,0.0002336117,0.0001241107,0.00007436235,0.0001860065,0.0004585818,0.9707267,0.005588549],"study_design_scores_gemma":[0.002927172,0.0003561074,0.005629627,0.06050498,0.01161236,0.00120306,0.0003988934,0.0005628414,0.001393068,0.006931061,0.9081342,0.0003466835],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0005859687,0.05015242,0.0008666075,0.6958452,0.2410062,0.0007246682,0.00868824,0.0003718041,0.00175887],"genre_scores_gemma":[0.007316542,0.02011045,0.001490306,0.9063688,0.05575733,0.001633551,0.001731817,0.0001812033,0.005409958],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.04021177,"threshold_uncertainty_score":0.2126627,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3730696757899687,"score_gpt":0.5164619030493895,"score_spread":0.1433922272594209,"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."}}