{"id":"W4284963822","doi":"10.1016/j.prevetmed.2022.105712","title":"Bayesian estimation of sensitivity and specificity of fecal culture, fecal PCR and serum ELISA for diagnosis of Mycobacterium avium subsp. paratuberculosis infections in sheep","year":2022,"lang":"en","type":"article","venue":"Preventive Veterinary Medicine","topic":"Mycobacterium research and diagnosis","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal","funders":"King Saud University","keywords":"Paratuberculosis; Feces; Mycobacterium avium subsp. paratuberculosis; Veterinary medicine; Biology; Medicine; Mycobacterium; Internal medicine; Animal science; Gastroenterology; Microbiology; Tuberculosis; Pathology","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":[0.00107795,0.0002111503,0.000793345,0.0003597059,0.00009017991,0.000004597456,0.00005665157,0.00008322112,0.0002238922],"category_scores_gemma":[0.000680156,0.0001880408,0.0001099661,0.0004504255,0.0003683361,0.0001478082,0.0002135779,0.0002499578,2.191821e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008488257,"about_ca_system_score_gemma":0.00005964533,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003610315,"about_ca_topic_score_gemma":0.00006739893,"domain_scores_codex":[0.997884,0.0004776218,0.0006091791,0.0003682042,0.0003876779,0.0002733172],"domain_scores_gemma":[0.9983092,0.0008382598,0.0002548949,0.0002350737,0.0001840749,0.0001784869],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002440456,0.001719286,0.9007169,0.002839498,0.0002148569,0.00007885029,0.002029574,0.00003988666,0.08075042,0.0001317259,0.000519443,0.008519086],"study_design_scores_gemma":[0.003904965,0.01261206,0.9617435,0.0007504084,0.0003093599,0.0002793153,0.0008276903,0.003192967,0.01555259,0.0002247688,0.0004187337,0.000183632],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9956296,0.0008260246,0.0009305711,0.0006618368,0.0001385139,0.001211119,0.0004678567,0.00001376967,0.0001206986],"genre_scores_gemma":[0.9975998,0.001144362,0.0006040105,0.0000385899,0.00007330762,0.0003345476,0.0001547991,0.00001906924,0.00003149679],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06519783,"threshold_uncertainty_score":0.7668082,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03092662186027233,"score_gpt":0.3249116218363678,"score_spread":0.2939849999760955,"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."}}