{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006235019,0.0003108818,0.0002034221,0.0005976543,0.0009638541,0.0009946711,0.001214367,0.0009434305,0.003476045],"category_scores_gemma":[0.01923002,0.0002188555,0.0002770247,0.0002953376,0.0003671388,0.0006071265,0.002759628,0.001183284,0.000654467],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001596572,"about_ca_system_score_gemma":0.01817273,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002341492,"about_ca_topic_score_gemma":0.009122374,"domain_scores_codex":[0.9945185,0.00367022,0.0002240459,0.0002584583,0.0009431831,0.0003855745],"domain_scores_gemma":[0.984778,0.002183116,0.002168585,0.0004354778,0.002846039,0.007588786],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001099976,0.01534798,0.0745832,0.00186826,0.00008401533,0.0008530531,0.003228466,0.001058813,0.004699416,0.0009421729,0.0686701,0.8275645],"study_design_scores_gemma":[0.008679639,0.03934201,0.6577916,0.004197862,0.000259497,0.004742623,0.01708768,0.009192767,0.008243353,0.00310074,0.2471288,0.0002333922],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8241588,0.003901961,0.026897,0.08348555,0.002579971,0.01030148,0.0003623235,0.00125922,0.04705369],"genre_scores_gemma":[0.8750827,0.002053401,0.09141681,0.01645388,0.0008539642,0.005478618,0.000431856,0.00006869138,0.008160214],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006235019,"threshold_uncertainty_score":0.0329743,"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."}}