{"id":"W2045839381","doi":"10.5863/1551-6776-17.4.389","title":"Automated Compounding of Parenteral Nutrition for Pediatric Patients: Characterization of Workload and Costs","year":2012,"lang":"en","type":"article","venue":"The Journal of Pediatric Pharmacology and Therapeutics","topic":"Clinical Nutrition and Gastroenterology","field":"Nursing","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre Hospitalier Universitaire Sainte-Justine","funders":"","keywords":"Compounding; Workload; Medicine; Parenteral nutrition; Neonatology; Emergency medicine; Operations management; Pediatrics; Intensive care medicine; Computer science; Operating system; Nursing; Engineering; Biology; Pregnancy","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":[0.001954189,0.0004275701,0.0003029925,0.001762686,0.0002516622,0.001070626,0.0005748733,0.0002623966,0.001425514],"category_scores_gemma":[0.01119444,0.0002075848,0.0003457619,0.00258483,0.0003198043,0.001004403,0.0007874498,0.0003617175,0.0002630326],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001505736,"about_ca_system_score_gemma":0.001527337,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002597006,"about_ca_topic_score_gemma":0.002714886,"domain_scores_codex":[0.9967517,0.0008306733,0.0006500144,0.0002647197,0.00124362,0.0002594493],"domain_scores_gemma":[0.9855154,0.003193256,0.008382101,0.0002752634,0.001939133,0.0006947923],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00026029,0.00009195275,0.9682648,0.0001147304,0.00005794324,0.0001731331,0.0001424377,0.0007603167,0.0006642946,0.00006198495,0.0004964969,0.02891178],"study_design_scores_gemma":[0.00001145699,0.0005865794,0.9928283,0.00005586736,0.00003745521,0.001001635,0.0005092222,0.002500948,0.001272546,0.00005021887,0.00113221,0.00001350996],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997247,0.0005022419,0.0007771867,0.0001463388,0.000008244817,0.00005363678,0.0005129802,0.00002042693,0.0007319932],"genre_scores_gemma":[0.996466,0.0004881144,0.00175038,0.0000697242,0.00003272454,0.00004302955,0.0009895467,0.00001287847,0.0001475477],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002597006,"threshold_uncertainty_score":0.01092488,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.029956865665048,"score_gpt":0.3430644203732809,"score_spread":0.3131075547082329,"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."}}