{"id":"W2903567932","doi":"10.1111/jfd.12933","title":"Bayesian latent class analysis of <scp>ELISA</scp> and <scp>RT</scp>‐<scp>rPCR</scp> diagnostic accuracy for subclinical <i>Renibacterium salmoninarum</i> infection in Atlantic salmon (<i>Salmo salar</i>) broodstock","year":2018,"lang":"en","type":"article","venue":"Journal of Fish Diseases","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Grieg Seafood (Canada); BC Centre for Aquatic Health Sciences; University of Prince Edward Island","funders":"Canada Excellence Research Chairs, Government of Canada","keywords":"Broodstock; Biology; Salmo; Aquaculture; Fishery; Fish <Actinopterygii>","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008347456,0.0004567039,0.001149113,0.0005412891,0.0003399549,0.000111383,0.0004561439,0.0002555169,0.00005767797],"category_scores_gemma":[0.01266804,0.0004138419,0.0005805461,0.001139935,0.0007305852,0.0009107154,0.0004451372,0.0003816692,0.00002280445],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001995485,"about_ca_system_score_gemma":0.0000573935,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002158583,"about_ca_topic_score_gemma":0.003175197,"domain_scores_codex":[0.9963273,0.0003083975,0.001379316,0.0006272206,0.0005758369,0.0007819236],"domain_scores_gemma":[0.9893554,0.00835163,0.001342912,0.0003881004,0.0001465122,0.0004154493],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003746949,0.0009152803,0.8979791,0.0001166658,0.0007708395,0.00006633142,0.000335761,0.0005919025,0.0001860575,0.00001195988,0.09873023,0.0002584472],"study_design_scores_gemma":[0.00157062,0.001170029,0.9826713,0.000136251,0.002901174,0.00002169899,0.000322072,0.0009555069,0.0002137134,0.0004636683,0.009492091,0.0000819294],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9966416,0.000266141,0.0004917647,0.0005842146,0.0005372461,0.0006612398,0.00009631658,0.00004161077,0.0006799141],"genre_scores_gemma":[0.9956185,0.002153817,0.0002112627,0.001274758,0.0002985715,0.00006591615,0.00004886965,0.00004230536,0.0002860596],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08923814,"threshold_uncertainty_score":0.9998313,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01243086061114206,"score_gpt":0.2582025154959024,"score_spread":0.2457716548847603,"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."}}