{"id":"W4300688136","doi":"","title":"Collaborative co-design and development of a smartphone application to promote veterinary antimicrobial stewardship.","year":2022,"lang":"en","type":"article","venue":"PubMed","topic":"Antibiotic Use and Resistance","field":"Immunology and Microbiology","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Antimicrobial stewardship; Stewardship (theology); Antimicrobial; Medicine; Business; Veterinary medicine; Biology; Antibiotic resistance; Microbiology; Antibiotics; Political 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":[0.003144193,0.0008039246,0.0004334712,0.0007251601,0.0004808859,0.00133667,0.001277085,0.0010992,0.006265536],"category_scores_gemma":[0.008325442,0.0002624184,0.0006559992,0.0001987599,0.0003515636,0.001147369,0.002331705,0.0006855488,0.002325885],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002785616,"about_ca_system_score_gemma":0.001757139,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007642559,"about_ca_topic_score_gemma":0.001583965,"domain_scores_codex":[0.997972,0.0009355611,0.0001547727,0.0002990335,0.0004521149,0.0001865456],"domain_scores_gemma":[0.995988,0.001842281,0.0002485342,0.0003373931,0.001055684,0.0005282565],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.002161151,0.003964292,0.01666638,0.003261957,0.0002711924,0.00147135,0.005185879,0.004033722,0.1111361,0.00347605,0.02830267,0.8200693],"study_design_scores_gemma":[0.002439521,0.03354947,0.06020972,0.002808986,0.001771083,0.004840265,0.01289228,0.1928059,0.2192923,0.01305693,0.4556083,0.0007253262],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4723483,0.00238539,0.4712373,0.003281903,0.001227566,0.0109466,0.0009785618,0.008536295,0.02905788],"genre_scores_gemma":[0.5366793,0.0009778199,0.4353462,0.001255418,0.0001389714,0.005959521,0.0008507705,0.0004272341,0.01836481],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006265536,"threshold_uncertainty_score":0.02096033,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01638806097935775,"score_gpt":0.2300294364185012,"score_spread":0.2136413754391435,"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."}}