{"id":"W2082229065","doi":"10.1016/j.prevetmed.2011.08.012","title":"A modelling approach to predict the variation of repeatability and reproducibility of a RT-PCR assay for infectious salmon anaemia virus across infection prevalences and infection stages","year":2011,"lang":"en","type":"article","venue":"Preventive Veterinary Medicine","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"Fisheries and Oceans Canada; University of Prince Edward Island","funders":"Atlantic Canada Opportunities Agency","keywords":"Repeatability; Reproducibility; Statistics; Biology; Covariate; Logistic regression; Concordance; Homogenization (climate); Kappa; Population; Replicate; Veterinary medicine; Medicine; Mathematics; Bioinformatics; Ecology; Environmental health","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01103038,0.001540971,0.001765391,0.001488573,0.0008584416,0.001648797,0.002383796,0.002525228,0.00100864],"category_scores_gemma":[0.01755483,0.001745937,0.002737639,0.0009345462,0.0007945948,0.001019388,0.0009367959,0.001826066,0.0003359138],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001984036,"about_ca_system_score_gemma":0.001255745,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01824911,"about_ca_topic_score_gemma":0.01247511,"domain_scores_codex":[0.9969104,0.001528769,0.0001982742,0.0008179876,0.0002920265,0.0002527089],"domain_scores_gemma":[0.9796141,0.01733615,0.00121561,0.0007753157,0.0008954895,0.000163356],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003261084,0.0001869653,0.01503025,0.00007237408,0.0006463804,0.00007743028,0.0001954337,0.9639977,0.003657914,0.001989183,0.0002491106,0.01357124],"study_design_scores_gemma":[0.00001675521,0.0001627939,0.003774566,0.000008216158,0.00008236143,0.00005021064,0.00001311354,0.9940136,0.0005550451,0.001142022,0.0001587838,0.00002256781],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.3655846,0.000284195,0.6313666,0.0002351445,0.00005818018,0.0002059467,0.000635527,0.0007305385,0.0008992395],"genre_scores_gemma":[0.9298116,0.00008732703,0.06694062,0.00006340068,0.00001979305,0.000448271,0.0006280169,0.0000726936,0.001928163],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01824911,"threshold_uncertainty_score":0.05833489,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05678929950043816,"score_gpt":0.2967972567683069,"score_spread":0.2400079572678688,"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."}}