{"id":"W6931832371","doi":"10.5683/sp3/4uw62j","title":"Estimating Poultry Aspergillosis Prevalence and Diagnostic Accuracy of Histopathological and Mycological Culture in Côte d’Ivoire Using Bayesian Latent Class Analysis","year":2023,"lang":"en","type":"dataset","venue":"Borealis","topic":"Antibiotic Use and Resistance","field":"Immunology and Microbiology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Aspergillosis; Latent class model; Diagnostic accuracy; Bayesian probability; Mycosis; Class (philosophy)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003314511,0.001151741,0.001116674,0.001809841,0.0004756604,0.001062697,0.001803968,0.001429296,0.007774964],"category_scores_gemma":[0.01235178,0.0004931439,0.001517903,0.00148094,0.0003786924,0.0004379032,0.0009911356,0.001319744,0.004756689],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001968226,"about_ca_system_score_gemma":0.001604938,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0779059,"about_ca_topic_score_gemma":0.1110951,"domain_scores_codex":[0.998625,0.0004458141,0.0001390293,0.0004921673,0.000156714,0.0001412966],"domain_scores_gemma":[0.9957853,0.002111811,0.0004289811,0.0006047642,0.0008489023,0.0002202111],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002619422,0.0005672952,0.2802196,0.004499241,0.002502229,0.0004210917,0.0002948698,0.01839677,0.002012082,0.001293516,0.6526582,0.03451576],"study_design_scores_gemma":[0.003130866,0.0004711027,0.6313387,0.002908094,0.001892283,0.001404431,0.00101768,0.04656652,0.002926315,0.003769949,0.3041948,0.0003792557],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.03606749,0.0007538876,0.001050063,0.0003210608,0.0000844668,0.00006409089,0.9605783,0.0003127823,0.0007678138],"genre_scores_gemma":[0.0403991,0.0002038662,0.002943943,0.0001207818,0.00001801933,0.000215439,0.9550956,0.00006631039,0.0009368746],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0779059,"threshold_uncertainty_score":0.1549048,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01762823874883571,"score_gpt":0.2766345614120558,"score_spread":0.2590063226632201,"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."}}