{"id":"W2895102879","doi":"10.1097/nur.0000000000000405","title":"A Clinical Nurse Specialist–Led Initiative to Reduce Deficits in Tube Feeding Administration for the Surgical and Trauma Populations","year":2018,"lang":"en","type":"article","venue":"Clinical Nurse Specialist","topic":"Clinical Nutrition and Gastroenterology","field":"Nursing","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Surgical Specialties (Canada)","funders":"","keywords":"Medicine; Malnutrition; Feeding tube; Emergency medicine; Morning; Intensive care medicine; Surgery; 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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.003055971,0.0003897491,0.001059915,0.0001849557,0.0005195736,0.0002001061,0.0004419516,0.0005820171,0.0002408773],"category_scores_gemma":[0.00799744,0.0003327387,0.0005552884,0.0005189558,0.001926446,0.0002108609,0.00006888479,0.0009056152,0.00008344902],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001190635,"about_ca_system_score_gemma":0.00004745038,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004934126,"about_ca_topic_score_gemma":0.004430136,"domain_scores_codex":[0.9937413,0.001020257,0.003008942,0.001137037,0.0003554015,0.0007370163],"domain_scores_gemma":[0.9919811,0.006008787,0.0004666506,0.00056866,0.0003917686,0.0005830193],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.06269711,0.008860203,0.3329859,0.00007601099,0.0002217155,0.0001569265,0.002280267,0.000009697233,0.0001043657,0.02876565,0.3045911,0.259251],"study_design_scores_gemma":[0.01106328,0.006228183,0.7833055,0.0002209171,0.0002256474,0.00006200949,0.00112398,0.0007191421,0.00004944384,0.00491281,0.1916363,0.0004527916],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.817987,0.00006369805,0.0004595812,0.1671188,0.010572,0.00183993,0.0002162772,0.0001013649,0.001641419],"genre_scores_gemma":[0.9683241,0.0000317282,0.002175309,0.01195005,0.01708257,0.0001228839,0.0001176242,0.00005911308,0.0001366075],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4503196,"threshold_uncertainty_score":0.9999124,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1514648418650528,"score_gpt":0.4624867894720899,"score_spread":0.3110219476070371,"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."}}