{"id":"W3115587335","doi":"10.1139/cjfas-2020-0279","title":"Importance of sample size for estimating prevalence: a case example of infectious hematopoietic necrosis viral RNA detection in mixed-stock Fraser River sockeye salmon (<i>Oncorhynchus nerka</i>), British Columbia, Canada","year":2020,"lang":"en","type":"article","venue":"Canadian Journal of Fisheries and Aquatic Sciences","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fisheries and Oceans Canada; University of Prince Edward Island","funders":"","keywords":"Oncorhynchus; Stock (firearms); Biology; Sample size determination; Infectious hematopoietic necrosis virus; Fishery; Ecology; Statistics; Geography; Rainbow trout; Mathematics; Fish <Actinopterygii>","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"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":[0.08583914,0.0005374646,0.0008958004,0.001172273,0.002609331,0.001709822,0.001665015,0.001258562,0.0006693297],"category_scores_gemma":[0.1524194,0.0003517471,0.0007726111,0.001722591,0.002728424,0.0009133144,0.001301911,0.001550206,0.0001051575],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005213914,"about_ca_system_score_gemma":0.006158149,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3158039,"about_ca_topic_score_gemma":0.4993853,"domain_scores_codex":[0.933944,0.03995331,0.005228743,0.004512624,0.01484919,0.001512154],"domain_scores_gemma":[0.8276508,0.1292558,0.00919528,0.009588384,0.02287993,0.001429869],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008857402,0.0001285198,0.7541206,0.001399089,0.001178679,0.003293032,0.008286967,0.004483528,0.006383943,0.004978209,0.009444457,0.2054173],"study_design_scores_gemma":[0.0001605847,0.001111583,0.9019108,0.001769425,0.001264047,0.00545263,0.006103151,0.01930059,0.01044079,0.01101797,0.04126764,0.0002009298],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7289847,0.01242193,0.2185464,0.01627537,0.0007647886,0.002731225,0.002119323,0.0004108739,0.01774532],"genre_scores_gemma":[0.9445145,0.0007701027,0.05204062,0.001237256,0.00007338703,0.0005173945,0.0002612463,0.00008009661,0.0005053176],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6841961,"threshold_uncertainty_score":0.6279315,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01157369247071233,"score_gpt":0.2001465531581084,"score_spread":0.1885728606873961,"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."}}