{"id":"W2951438621","doi":"10.1016/j.jhin.2019.06.009","title":"Impact of a checklist used by pharmacists on hospital antimicrobial use: a patient-level interrupted time series study","year":2019,"lang":"en","type":"article","venue":"Journal of Hospital Infection","topic":"Antibiotic Use and Resistance","field":"Immunology and Microbiology","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Montreal Heart Institute; Hôpital du Sacré-Cœur de Montréal; Hôpital Notre-Dame; Université de Montréal; Centre Hospitalier de l’Université de Montréal","funders":"","keywords":"Medicine; Checklist; Interrupted time series; Interrupted Time Series Analysis; Antimicrobial; Antimicrobial stewardship; Emergency medicine; Nursing; Antibiotics; Antibiotic resistance; Microbiology; Psychological intervention; Statistics","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":[0.006023331,0.0004714457,0.0009244944,0.001007056,0.0008464883,0.001584591,0.0006409229,0.001147272,0.001706846],"category_scores_gemma":[0.03466427,0.0004327391,0.001600023,0.001743099,0.0005428867,0.00138007,0.001070027,0.001864841,0.0003369314],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001713976,"about_ca_system_score_gemma":0.001953384,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005231968,"about_ca_topic_score_gemma":0.004060355,"domain_scores_codex":[0.9920706,0.003789586,0.001343487,0.0009441635,0.001269299,0.0005828353],"domain_scores_gemma":[0.9578649,0.01712268,0.01569823,0.002635681,0.003572414,0.003106121],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.006475145,0.002492472,0.9761531,0.0001839572,0.001016875,0.0001817294,0.001845417,0.0002862699,0.000275814,0.00005054719,0.0002377325,0.01080086],"study_design_scores_gemma":[0.0002946533,0.01093197,0.9840649,0.00007906902,0.0005241467,0.0001785813,0.001843676,0.001196163,0.0002596329,0.0000386854,0.0005295015,0.00005901655],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992647,0.00011504,0.0001409595,0.00004330384,0.00001136564,0.00006283054,0.0001651312,0.000004981473,0.0001916782],"genre_scores_gemma":[0.9990528,0.0000862856,0.0002754477,0.00007744903,0.00001829718,0.0001004123,0.0002451701,0.000005528514,0.0001386069],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006023331,"threshold_uncertainty_score":0.03185481,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008962897046239046,"score_gpt":0.263200952085011,"score_spread":0.2542380550387719,"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."}}