{"id":"W2130670679","doi":"10.4102/jsava.v78i1.280","title":"Seroprevalence of Babesia bigeminain smallholder dairy cattle in Tanzania and associated risk factors","year":2007,"lang":"en","type":"article","venue":"Journal of the South African Veterinary Association","topic":"Vector-borne infectious diseases","field":"Immunology and Microbiology","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"Department for International Development","keywords":"Seroprevalence; Veterinary medicine; Tanzania; Logistic regression; Biology; Livestock; Geography; Forestry; Serology; Medicine; Antibody; Immunology; Internal medicine","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":[0.001587639,0.0001422639,0.0003433774,0.0001886232,0.0001161391,0.00001105625,0.0002183522,0.0002158939,0.00003935849],"category_scores_gemma":[0.001908012,0.0001077782,0.0001610225,0.0003251751,0.00008600314,0.0001246965,0.00008022362,0.0004438809,0.0000039876],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004740297,"about_ca_system_score_gemma":0.00007483864,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001064695,"about_ca_topic_score_gemma":0.00005035852,"domain_scores_codex":[0.9982546,0.0006362657,0.0005825351,0.0001290825,0.0001197978,0.0002777294],"domain_scores_gemma":[0.9972415,0.0005391723,0.001864975,0.0001445785,0.000177112,0.0000326433],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000165408,0.0001785321,0.956366,0.00001326014,0.000249609,0.000006135153,0.004908491,0.00007154635,0.03772571,0.000004066827,0.0001471396,0.0001640871],"study_design_scores_gemma":[0.0008928504,0.0005132587,0.9936803,0.00007573632,0.000149687,0.00003317233,0.002058869,0.00000381543,0.002347562,0.00005120004,0.0000873478,0.0001061953],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985656,0.0004992788,0.00002456911,0.00005624129,0.0005417088,0.0001198778,0.00008351482,0.0000119884,0.00009722965],"genre_scores_gemma":[0.9996408,0.00004388245,0.0000175616,0.0000190043,0.00002763472,0.000001028406,0.000003671297,0.00001327543,0.000233125],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03731429,"threshold_uncertainty_score":0.4395066,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01389979321072978,"score_gpt":0.2368543842601924,"score_spread":0.2229545910494626,"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."}}