{"id":"W2792142806","doi":"10.1093/jcag/gwy009.187","title":"A187 META-ANALYSIS AND SYSTEMATIC REVIEW OF NUTRITIONAL SCREENING AND ASSESSMENT TOOLS IN CIRRHOSIS","year":2018,"lang":"en","type":"article","venue":"Journal of the Canadian Association of Gastroenterology","topic":"Freezing and Crystallization Processes","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; University of Calgary","funders":"","keywords":"Cirrhosis; Malnutrition; Medicine; Inclusion and exclusion criteria; Hepatocellular carcinoma; Population; Sarcopenia; Systematic review; Meta-analysis; Internal medicine; MEDLINE; Pediatrics; Pathology; Environmental health; Alternative 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":[0.001086957,0.00006152425,0.0006745361,0.0002874781,0.00002859201,0.00001391116,0.00009833337,0.00004119824,0.00003738432],"category_scores_gemma":[0.0003167748,0.00004674232,0.0001774618,0.000233436,0.00003282506,0.00008381654,0.000009852618,0.00009962128,6.092164e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001554255,"about_ca_system_score_gemma":0.00004999616,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003661496,"about_ca_topic_score_gemma":0.05620701,"domain_scores_codex":[0.9989032,0.0001813319,0.0005814451,0.000046102,0.0001846795,0.0001032589],"domain_scores_gemma":[0.9988399,0.0001012264,0.0006100517,0.00006904237,0.0003218988,0.00005794366],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000311443,0.00006581857,0.8349245,0.08026633,0.07784155,0.000004846845,0.0003916588,0.002646731,0.0003511447,0.0004829702,0.002942277,0.00005108944],"study_design_scores_gemma":[0.003212971,0.001100405,0.7707216,0.0263045,0.1878027,0.0001734659,0.0003886633,0.008242805,0.0003404112,0.0008782709,0.0004649969,0.0003692265],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8899525,0.0440905,0.02345128,0.03836697,0.0006524461,0.001570739,0.0006758256,0.00002824534,0.001211472],"genre_scores_gemma":[0.9977553,0.0008046842,0.001002893,0.0003939812,0.00001477593,0.000003790985,0.000002097702,0.000004423312,0.00001797771],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1099611,"threshold_uncertainty_score":0.9610147,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02306282378903061,"score_gpt":0.2497471725751499,"score_spread":0.2266843487861193,"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."}}