{"id":"W2136486097","doi":"10.1186/cc9240","title":"Does intensive insulin therapy really reduce mortality in critically ill surgical patients? A reanalysis of meta-analytic data","year":2010,"lang":"en","type":"article","venue":"Critical Care","topic":"Hyperglycemia and glycemic control in critically ill and hospitalized patients","field":"Medicine","cited_by":54,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Sciences Centre; Sunnybrook Health Science Centre; University of Toronto; St. Michael's Hospital","funders":"Canadian Institutes of Health Research","keywords":"Medicine; Intensive care unit; Randomized controlled trial; Intensive care; Confidence interval; Subgroup analysis; Critically ill; Meta-analysis; Intensive care medicine; Emergency medicine; Internal medicine","routes":{"ca_aff":true,"ca_fund":true,"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","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005233815,0.0003894699,0.001709505,0.0002210491,0.00007883439,0.00004452177,0.0005623821,0.0003826873,0.001196773],"category_scores_gemma":[0.01863357,0.0002293089,0.0006302202,0.0004508394,0.0008916032,0.0002215967,0.0002702794,0.0009539594,0.00001552481],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005021637,"about_ca_system_score_gemma":0.0002376673,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004541897,"about_ca_topic_score_gemma":0.0003173266,"domain_scores_codex":[0.9959679,0.000203602,0.001265132,0.001002438,0.0009397828,0.0006211511],"domain_scores_gemma":[0.9891335,0.001000786,0.00007983667,0.001979125,0.007271124,0.0005356245],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01068086,0.009213055,0.8644148,0.002823285,0.01018461,0.003947833,0.004787069,0.000004219868,0.008342922,0.04146996,0.001434984,0.04269636],"study_design_scores_gemma":[0.07625889,0.01258385,0.6755968,0.001240456,0.09932428,0.000332108,0.0278555,0.004907446,0.01188385,0.02706557,0.05692785,0.0060234],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9872767,0.0008021262,0.00003051808,0.005843736,0.0004679282,0.0005375034,0.000719628,0.00004784544,0.004273958],"genre_scores_gemma":[0.9955623,0.0001159552,0.0008552185,0.002398239,0.0001926203,0.00004889709,0.0007258287,0.00003719316,0.00006378641],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.188818,"threshold_uncertainty_score":0.9997163,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07835434710575016,"score_gpt":0.3847952042852229,"score_spread":0.3064408571794727,"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."}}