{"id":"W4408073037","doi":"10.1016/j.cmi.2025.02.026","title":"Impact of a smartphone application for appropriate antibiotic prescribing at three tertiary hospitals: an international, multicentre stepped-wedge cluster randomized trial","year":2025,"lang":"en","type":"article","venue":"Clinical Microbiology and Infection","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary; Alberta Health Services","funders":"Ulsan University Hospital; Hôpitaux Universitaires de Genève; Uppsala Universitet; Akademiska Sjukhuset; Vetenskapsrådet; EMC; ZonMw; Erasmus Medisch Centrum; Joint Programming Initiative on Antimicrobial Resistance","keywords":"Medicine; Cluster randomised controlled trial; Tertiary care; Cluster (spacecraft); Randomized controlled trial; Antibiotics; Intensive care medicine; Family medicine; Internal medicine; Computer science","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":[0.004425768,0.002433812,0.003942153,0.0004865171,0.001168664,0.00239113,0.001547924,0.003376861,0.008663769],"category_scores_gemma":[0.008645543,0.00131716,0.004495956,0.000675434,0.002818092,0.002101612,0.001722502,0.004015777,0.001142619],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002119837,"about_ca_system_score_gemma":0.003502344,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003781694,"about_ca_topic_score_gemma":0.004455005,"domain_scores_codex":[0.9948834,0.0025566,0.0005095198,0.001130035,0.0003128618,0.0006075721],"domain_scores_gemma":[0.994447,0.001990262,0.001190498,0.0005365484,0.0003802609,0.001455418],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"randomized_trial","study_design_gemma":"randomized_trial","study_design_scores_codex":[0.9832192,0.009013177,0.0008871591,0.0004490168,0.001471472,0.00001717452,0.00009937734,0.0002130392,0.0004129135,0.00007575502,0.0002661891,0.003875514],"study_design_scores_gemma":[0.910109,0.08378961,0.003297355,0.00008775181,0.001478378,0.00001016128,0.0001148741,0.0005306257,0.0001807205,0.0001746425,0.0001916257,0.00003524619],"study_design_candidate":"randomized_trial","study_design_consensus":"randomized_trial","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9892768,0.0009011783,0.0008890109,0.0005055849,0.0005837803,0.006372182,0.0004728824,0.00006454028,0.0009341211],"genre_scores_gemma":[0.9867451,0.0004173905,0.002932412,0.000754341,0.0003054664,0.007386125,0.0003531229,0.00002125325,0.001084829],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008663769,"threshold_uncertainty_score":0.02898324,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04252968447538209,"score_gpt":0.4601370640560005,"score_spread":0.4176073795806184,"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."}}