{"id":"W2328020610","doi":"10.1038/srep22763","title":"Investigation of the cause of geographic disparities in IDEXX ELISA sensitivity in serum samples from Mycobacterium bovis-infected cattle","year":2016,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Mycobacterium research and diagnosis","field":"Medicine","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Cattlemen's Association; Canadian Food Inspection Agency; University of Saskatchewan","funders":"Animal Health and Veterinary Laboratories Agency; BC Cancer Agency; U.S. Department of Agriculture; Department for Environment, Food and Rural Affairs, UK Government; Dairy Farmers of Canada; Secretaría de Agricultura, Ganadería, Desarrollo Rural, Pesca y Alimentación; Alberta Livestock and Meat Agency; Canadian Institutes of Health Research; Canadian Food Inspection Agency","keywords":"Mycobacterium bovis; Gene; Genome; Biology; Bovine tuberculosis; Sequence (biology); Genetics; Virology; Tuberculosis; Mycobacterium tuberculosis; Medicine; Pathology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001548995,0.0001237605,0.0003479539,0.000369625,0.00004901696,0.00003479808,0.0000711305,0.00008482092,0.00009644604],"category_scores_gemma":[0.001876908,0.0000682543,0.00009988962,0.0008015633,0.0007073905,0.0002054992,0.0001207453,0.0001201207,0.000002534715],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006775639,"about_ca_system_score_gemma":0.000338436,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01194719,"about_ca_topic_score_gemma":0.01049335,"domain_scores_codex":[0.997824,0.0002062955,0.0006400273,0.0004401441,0.0005795065,0.0003100279],"domain_scores_gemma":[0.9981326,0.0003320901,0.0003161784,0.0008405225,0.0002502502,0.0001283257],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002295095,0.00004324507,0.6402426,0.00005795359,0.00001094038,0.00004959447,0.0001238965,7.38056e-7,0.3588979,0.000007114602,0.0003787352,0.0001643307],"study_design_scores_gemma":[0.0002798534,0.00001943685,0.7339762,0.0004635049,0.00001754185,0.00001827936,0.00002457988,0.000005776453,0.2637937,0.001252162,0.00009017387,0.00005872771],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975148,0.00007030964,0.00000683851,0.0009009241,0.000938338,0.0004173717,0.00009502903,0.00001640669,0.00004002597],"genre_scores_gemma":[0.9996352,0.0000425306,0.00004996169,0.0000292086,0.00003151084,0.00002152143,0.00006446082,0.00001002806,0.0001155722],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0951042,"threshold_uncertainty_score":0.9946324,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02726886420046226,"score_gpt":0.2600373161962622,"score_spread":0.2327684519957999,"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."}}