{"id":"W2800820680","doi":"10.1097/ccm.0000000000003183","title":"Evaluating Muscle Mass in Survivors of Acute Respiratory Distress Syndrome: A 1-Year Multicenter Longitudinal Study*","year":2018,"lang":"en","type":"article","venue":"Critical Care Medicine","topic":"Intensive Care Unit Cognitive Disorders","field":"Medicine","cited_by":72,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"National Center for Advancing Translational Sciences; National Heart, Lung, and Blood Institute; National Institute on Aging","keywords":"Lean body mass; Medicine; Wasting; Body mass index; Physical therapy; Prospective cohort study; Respiratory distress; Internal medicine; Surgery; Body weight","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.0006659776,0.0002870633,0.0007838483,0.0003989771,0.00008561985,0.00000778245,0.0001699838,0.0001220555,0.0006605067],"category_scores_gemma":[0.01712211,0.0002375565,0.0001078158,0.0005751047,0.001707224,0.00008084912,0.00009710275,0.0004542298,0.00003152262],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001618937,"about_ca_system_score_gemma":0.0001049396,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002590125,"about_ca_topic_score_gemma":0.0002217032,"domain_scores_codex":[0.9970245,0.0003169752,0.000679998,0.0005676004,0.0009034473,0.0005074332],"domain_scores_gemma":[0.9884407,0.0006217037,0.00007544535,0.000478843,0.01013179,0.0002515335],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00111738,0.0005345215,0.9769659,0.0008641328,0.0001979097,0.002314472,0.006174015,2.70847e-7,0.007686903,0.0001776909,0.0004245052,0.003542309],"study_design_scores_gemma":[0.00842234,0.01115507,0.8403993,0.00204078,0.001088902,0.00004309495,0.1353294,0.0001106292,0.0009842388,0.00007149381,0.00007774973,0.0002769992],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9934371,0.0003570249,0.0004814396,0.001192563,0.0007432764,0.0009476813,0.0000684003,0.00004333837,0.002729196],"genre_scores_gemma":[0.9967974,0.00000344476,0.000452174,0.00232658,0.0002390824,0.00004972789,0.00005243542,0.00004876273,0.0000303775],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1365666,"threshold_uncertainty_score":0.9911571,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06695109442088211,"score_gpt":0.4115254913463032,"score_spread":0.3445743969254211,"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."}}