{"id":"W4322769556","doi":"10.1186/s40545-023-00543-2","title":"Scoping of pharmacists’ health leadership training needs for effective antimicrobial stewardship in Africa","year":2023,"lang":"en","type":"article","venue":"Journal of Pharmaceutical Policy and Practice","topic":"Antibiotic Use and Resistance","field":"Immunology and Microbiology","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Antimicrobial stewardship; Pharmacy; Stewardship (theology); Medicine; Training (meteorology); Medical education; Nursing; Political science; Microbiology; Geography; Biology; Antibiotics; Antibiotic resistance; Politics","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":[0.003281957,0.0001373884,0.0004880997,0.0005086752,0.000119705,0.00001451814,0.0001347805,0.0001330999,0.00001483948],"category_scores_gemma":[0.002644233,0.0001167641,0.0001156231,0.0005905068,0.0002434518,0.0002619035,0.00003622859,0.0005696167,0.000008651187],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005408679,"about_ca_system_score_gemma":0.0004050267,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000135262,"about_ca_topic_score_gemma":0.000001802532,"domain_scores_codex":[0.9978984,0.0007927736,0.0006081687,0.0001282452,0.0000657854,0.0005066487],"domain_scores_gemma":[0.994404,0.004821582,0.0005190865,0.00006407916,0.0001150763,0.00007618467],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.01894849,0.0009696103,0.0004627266,0.006760643,0.001369168,0.0001365175,0.04965926,0.0001291978,0.7709124,0.006262931,0.01531309,0.129076],"study_design_scores_gemma":[0.06347091,0.007445589,0.004986629,0.01643267,0.001648068,0.008458959,0.06157977,0.0003595041,0.52432,0.00275521,0.3066808,0.001861907],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7729496,0.06112494,0.004844359,0.1458499,0.004037566,0.003832255,0.0002219767,0.0001301344,0.00700929],"genre_scores_gemma":[0.9952297,0.002235133,0.0002995227,0.001777293,0.0002253455,0.000002746695,0.000003089918,0.00001474567,0.0002124262],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2913677,"threshold_uncertainty_score":0.47615,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2483769436539269,"score_gpt":0.4528431458915458,"score_spread":0.2044662022376189,"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."}}