{"id":"W3093839066","doi":"10.1016/j.plabm.2020.e00184","title":"Effective interventions to improve the quality of critically high point-of-care glucose meter results","year":2020,"lang":"en","type":"article","venue":"Practical Laboratory Medicine","topic":"Clinical Laboratory Practices and Quality Control","field":"Medicine","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Electricity Association; Children's Hospital of Eastern Ontario; Ottawa Hospital; University of Ottawa","funders":"","keywords":"Glucose meter; Critically ill; Psychological intervention; Quality (philosophy); Point-of-care testing; Metre; Intensive care medicine; Medicine; Point of care; Computer science; Nursing; Pathology; Diabetes mellitus","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.01997215,0.0009202282,0.0006796965,0.002142878,0.001731916,0.003550241,0.002815294,0.002282133,0.008138],"category_scores_gemma":[0.09607849,0.0005033665,0.001047623,0.001056314,0.0009721002,0.003006662,0.004300958,0.003468058,0.00110583],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005590904,"about_ca_system_score_gemma":0.03217215,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01254151,"about_ca_topic_score_gemma":0.01342317,"domain_scores_codex":[0.981965,0.01029571,0.001110237,0.001017928,0.003681803,0.001929378],"domain_scores_gemma":[0.9536914,0.01398699,0.0123491,0.001959965,0.009236052,0.008776428],"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":[0.0004962525,0.007409567,0.06321769,0.005448321,0.0003707952,0.0002666169,0.003060691,0.002664485,0.001915032,0.004315352,0.0981693,0.8126659],"study_design_scores_gemma":[0.002532506,0.009061771,0.6350148,0.04194468,0.001081499,0.0007782804,0.01651838,0.0111487,0.008819935,0.01499574,0.2576795,0.0004242001],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.3423211,0.03419254,0.0610011,0.4510868,0.008107455,0.01298216,0.002114533,0.006281078,0.08191325],"genre_scores_gemma":[0.801602,0.01758552,0.1005184,0.06110611,0.0028313,0.007974045,0.0009995538,0.0002162355,0.007166741],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01997215,"threshold_uncertainty_score":0.1056241,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09190182972208218,"score_gpt":0.4639075881083244,"score_spread":0.3720057583862423,"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."}}