{"id":"W2046936061","doi":"10.3354/dao02252","title":"Interpreting dual ELISA and qPCR data for bacterial kidney disease of salmonids","year":2010,"lang":"en","type":"article","venue":"Diseases of Aquatic Organisms","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fisheries and Oceans Canada","funders":"","keywords":"Biology; Broodstock; Polymerase chain reaction; Real-time polymerase chain reaction; Antigen; Kidney; Microbiology; Trout; Fish <Actinopterygii>; Gene; Immunology; Aquaculture; Fishery; Genetics","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":[0.003505633,0.0006822144,0.0007198526,0.00139759,0.0005293346,0.0009468677,0.0004893563,0.0007053551,0.0008301174],"category_scores_gemma":[0.00499672,0.0005022747,0.0003765672,0.0006412574,0.0008020904,0.0004576602,0.0008522831,0.0007062457,0.0003645524],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006238722,"about_ca_system_score_gemma":0.0005936208,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003577555,"about_ca_topic_score_gemma":0.009621081,"domain_scores_codex":[0.9977374,0.0005021354,0.000271649,0.0006051571,0.0006814149,0.0002021751],"domain_scores_gemma":[0.9957913,0.001384477,0.001169302,0.0002728612,0.00122639,0.0001557153],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000207557,0.00005436987,0.2687565,0.0002524057,0.0000943838,0.0001017534,0.000613413,0.000731214,0.7214602,0.0002402755,0.000183883,0.00730417],"study_design_scores_gemma":[0.00001629296,0.0006226967,0.7637542,0.00009007465,0.0002128756,0.0005597284,0.001247688,0.01214351,0.2186401,0.0007128367,0.001918707,0.0000811377],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9384807,0.0006792576,0.05609755,0.0001246742,0.00008739728,0.0001486652,0.001385792,0.0001721658,0.002823699],"genre_scores_gemma":[0.9531208,0.0002254878,0.04369644,0.000234938,0.00002119702,0.0002771842,0.0009136185,0.00004592248,0.001464306],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003577555,"threshold_uncertainty_score":0.01853979,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008821257561008516,"score_gpt":0.2371127370955395,"score_spread":0.2282914795345309,"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."}}