{"id":"W3041903022","doi":"10.1016/j.ijmedinf.2020.104233","title":"Factors determining the adherence to antimicrobial guidelines and the adoption of computerised decision support systems by physicians: A qualitative study in three European hospitals","year":2020,"lang":"en","type":"article","venue":"International Journal of Medical Informatics","topic":"Antibiotic Use and Resistance","field":"Immunology and Microbiology","cited_by":57,"is_retracted":false,"has_abstract":true,"ca_institutions":"Jewish General Hospital","funders":"Hôpitaux Universitaires de Genève; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; National Science Foundation","keywords":"Medicine; Clinical decision support system; Antimicrobial stewardship; Qualitative research; CLARITY; Family medicine; Psychological intervention; Medical prescription; Focus group; Nursing; Guideline; Medical education; Decision support system; Antibiotic resistance","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001466762,0.00008587819,0.0002682861,0.00004649754,0.00003665533,0.00003430541,0.0006050462,0.00004733542,0.0000107506],"category_scores_gemma":[0.0007477757,0.00004130932,0.00005515175,0.00007022472,0.0001884118,0.0001213433,0.0001471034,0.0002345053,0.000006974857],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001206302,"about_ca_system_score_gemma":0.00004579982,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002021316,"about_ca_topic_score_gemma":0.000009596121,"domain_scores_codex":[0.9982557,0.0002285275,0.001095464,0.00004742448,0.0002912814,0.00008154436],"domain_scores_gemma":[0.9984314,0.0005018994,0.0006290282,0.00005752557,0.0003533199,0.00002685372],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.002673095,0.0007603462,0.0376355,0.0001619654,0.0017064,0.00005351757,0.7952952,0.0005677275,0.001997449,0.0007182252,0.05813177,0.1002987],"study_design_scores_gemma":[0.04586555,0.007880166,0.1062359,0.007883715,0.0003348477,0.0001888521,0.8084887,0.0123799,0.002206438,0.0001735165,0.007505435,0.0008569896],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9716901,0.0001370078,0.02575206,0.001607044,0.0005910466,0.0001780746,0.00001933671,0.000002947737,0.00002237378],"genre_scores_gemma":[0.9986983,0.00009033721,0.0002313138,0.0009068071,0.0000571624,4.280228e-7,0.000007558046,0.000003789801,0.000004306865],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09944176,"threshold_uncertainty_score":0.1684545,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05663742944233299,"score_gpt":0.3588476255994398,"score_spread":0.3022101961571068,"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."}}