{"id":"W4303579138","doi":"10.3390/antibiotics11101342","title":"Crossover-Use of Human Antibiotics in Livestock in Agricultural Communities: A Qualitative Cross-Country Comparison between Uganda, Tanzania and India","year":2022,"lang":"en","type":"article","venue":"Antibiotics","topic":"Antibiotic Use and Resistance","field":"Immunology and Microbiology","cited_by":42,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Engineering and Physical Sciences Research Council; Medical Research Council; UK Research and Innovation","keywords":"Livestock; Tanzania; Antibiotics; Antibiotic resistance; Agriculture; Amoxicillin; Thematic analysis; Environmental health; Developing country; Focus group; Medicine; Biotechnology; Tetracycline antibiotics; Veterinary medicine; Business; Tetracycline; Geography; Qualitative research; Environmental planning; Biology; Marketing; Ecology","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":[0.00321703,0.0003944088,0.0005485012,0.001623351,0.004511611,0.002260366,0.0008669221,0.0009397948,0.002374104],"category_scores_gemma":[0.006110915,0.000702557,0.000308784,0.001451015,0.003824845,0.002248864,0.003176321,0.001224349,0.0001664478],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002691064,"about_ca_system_score_gemma":0.002214728,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01697963,"about_ca_topic_score_gemma":0.02996202,"domain_scores_codex":[0.9979104,0.001226831,0.0001144937,0.0001223987,0.0001386162,0.0004872839],"domain_scores_gemma":[0.9950963,0.003219598,0.0006988724,0.0001208321,0.0003993902,0.0004650972],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00002784452,0.00004088444,0.01384708,0.0001664001,0.000005407186,0.0007132705,0.9826065,0.00001031113,0.0007375233,0.0002030079,0.000096075,0.00154576],"study_design_scores_gemma":[0.000001759433,0.00003568146,0.008965435,0.00006553844,0.000003850974,0.0001293614,0.9900532,0.00002447069,0.00008749469,0.00002655994,0.0006016899,0.000004936108],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999035,0.000129557,0.00007670678,0.0001807099,0.000003648742,0.00002671225,0.00002713252,0.000001493146,0.0005189683],"genre_scores_gemma":[0.9990646,0.0002596707,0.0001478611,0.0001559178,0.000002892929,0.00007329707,0.0000233752,0.000002833798,0.0002695314],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01697963,"threshold_uncertainty_score":0.03376162,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03770947575537861,"score_gpt":0.3347464210206616,"score_spread":0.297036945265283,"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."}}