{"id":"W4310157839","doi":"10.1093/qopen/qoac032","title":"Quantifying farmers’ preferences for antimicrobial use for livestock diseases in northern Tanzania","year":2022,"lang":"en","type":"article","venue":"Q Open","topic":"Vaccine Coverage and Hesitancy","field":"Social Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Medical Research Council Canada; Ministry of Livestock and Fisheries; Medical Research Council; National Institute for Health and Care Research; UK Research and Innovation","keywords":"Livestock; Tanzania; Context (archaeology); Animal husbandry; Productivity; Psychological intervention; Business; Agricultural science; Environmental health; Socioeconomics; Geography; Veterinary medicine; Medicine; Economics; Agriculture; Economic growth; Biology; Nursing","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003152468,0.00007968266,0.0001659628,0.00005107269,0.0009553367,0.0002952127,0.0006067916,0.00002602803,0.0001824641],"category_scores_gemma":[0.0002140299,0.00008286297,0.00006939102,0.0001722999,0.00001135637,0.0005055343,0.0002058834,0.00006078861,0.000006104393],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008931,"about_ca_system_score_gemma":0.0002963968,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003570667,"about_ca_topic_score_gemma":0.06006439,"domain_scores_codex":[0.9990746,0.0001077005,0.0001623237,0.0002500639,0.0001234943,0.0002817721],"domain_scores_gemma":[0.9994406,0.0002587253,0.00007829238,0.0001145338,0.00005275419,0.00005513802],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002618591,0.0001764564,0.9712739,0.00002385072,0.00001683864,0.000003202957,0.008003228,0.0001030828,0.000133301,0.004263634,0.01290438,0.002836296],"study_design_scores_gemma":[0.003538605,0.0005036977,0.4676203,0.00007333629,0.00008308212,9.722413e-7,0.02379234,0.0001449466,0.00006803943,0.004967979,0.4984974,0.000709355],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9946719,0.00009850894,0.000220459,0.001368077,0.0002777379,0.002293211,0.0003056464,0.00002531218,0.0007391063],"genre_scores_gemma":[0.9963429,0.00002456712,0.0007073685,0.0003251426,0.0001122772,0.0005434274,0.00005751586,0.00001395155,0.001872859],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5036536,"threshold_uncertainty_score":0.957087,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1189188676885672,"score_gpt":0.3602669273362271,"score_spread":0.2413480596476599,"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."}}