{"id":"W2899358145","doi":"10.1016/j.prevetmed.2018.10.025","title":"Bayesian estimation of sensitivity and specificity of systematic thoracic ultrasound exam for diagnosis of bovine respiratory disease in pre-weaned calves","year":2018,"lang":"en","type":"article","venue":"Preventive Veterinary Medicine","topic":"Ultrasound in Clinical Applications","field":"Medicine","cited_by":53,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal; Cegep de Saint Hyacinthe","funders":"","keywords":"Medicine; Pneumonia; Bovine respiratory disease; Population; Respiratory system; 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":[0.001950432,0.0001781535,0.0009471079,0.0002047416,0.00003729868,0.00000197381,0.00008237889,0.00007929512,0.00006124372],"category_scores_gemma":[0.006897133,0.0001435429,0.00009831877,0.0003271989,0.0009638931,0.00009434143,0.00004667462,0.0001050334,7.152908e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004519051,"about_ca_system_score_gemma":0.00006253985,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007403347,"about_ca_topic_score_gemma":0.00002164779,"domain_scores_codex":[0.9976023,0.0004376123,0.001167325,0.000335139,0.0002991766,0.0001584041],"domain_scores_gemma":[0.9930644,0.005331546,0.0006296632,0.0004910387,0.0003318226,0.0001515201],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.008283362,0.00356532,0.6071599,0.121601,0.000428698,0.00002873917,0.004125622,0.00002781938,0.2512315,0.0006290955,0.0001748703,0.002744049],"study_design_scores_gemma":[0.001798976,0.007752883,0.9497548,0.01851915,0.0007606839,0.00002421068,0.0002487306,0.002081706,0.01728237,0.001605654,0.00001885572,0.0001519894],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9789085,0.0006345937,0.01749106,0.0001869104,0.0000608905,0.00251625,0.0001278574,0.00001624646,0.00005762967],"genre_scores_gemma":[0.9956055,0.0001225114,0.003764763,0.00004253961,0.0001056838,0.0002658679,0.00004278725,0.00001999522,0.00003031786],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3425949,"threshold_uncertainty_score":0.825701,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08023526768095712,"score_gpt":0.401712072444643,"score_spread":0.3214768047636858,"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."}}