{"id":"W4324044616","doi":"10.1186/s12889-023-15193-x","title":"Exploring medical and veterinary student perceptions and communication preferences related to antimicrobial resistance in Ontario, Canada using qualitative methods","year":2023,"lang":"en","type":"article","venue":"BMC Public Health","topic":"Antibiotic Use and Resistance","field":"Immunology and Microbiology","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph; Public Health Agency of Canada","funders":"","keywords":"Biostatistics; Medicine; Public health; Qualitative research; Antibiotic resistance; Resistance (ecology); Epidemiology; Veterinary medicine; Perception; Family medicine; Medical education; Nursing; Pathology; Microbiology; Social science","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":[0.01001067,0.0004096825,0.0006192742,0.002429491,0.01375207,0.004155959,0.001940684,0.001161921,0.004887061],"category_scores_gemma":[0.01386118,0.000604597,0.0004446745,0.004964635,0.005464274,0.001284587,0.004144007,0.001578127,0.0002858971],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.09731106,"about_ca_system_score_gemma":0.1742104,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9567326,"about_ca_topic_score_gemma":0.9791661,"domain_scores_codex":[0.9932916,0.002469689,0.0003606341,0.0005351338,0.001434783,0.001908079],"domain_scores_gemma":[0.9780982,0.009127129,0.001718336,0.000304501,0.006882875,0.003869022],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001077927,0.0000973098,0.03211667,0.0006949582,0.00001147906,0.0006387715,0.9505991,0.00008701492,0.001124856,0.0009023858,0.002000158,0.01161945],"study_design_scores_gemma":[0.00001746645,0.00008975762,0.03910819,0.0006398095,0.00001453041,0.0000688193,0.9402502,0.0002092312,0.0003188904,0.0001720838,0.01907175,0.0000391239],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9824612,0.001130323,0.001084411,0.004361855,0.00005387042,0.001077557,0.001016218,0.00001944966,0.008795157],"genre_scores_gemma":[0.9871541,0.001381922,0.001829654,0.001723913,0.00001558051,0.0009936232,0.0002822985,0.00001870546,0.006600325],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09731106,"threshold_uncertainty_score":0.7060444,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3135989118779988,"score_gpt":0.4525052544839587,"score_spread":0.1389063426059599,"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."}}