{"id":"W3099785275","doi":"10.1016/j.fawpar.2020.e00096","title":"Application of next generation sequencing for detection of protozoan pathogens in shellfish","year":2020,"lang":"en","type":"article","venue":"Food and Waterborne Parasitology","topic":"Parasitic Infections and Diagnostics","field":"Immunology and Microbiology","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Prince Edward Island; University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada; University of Guelph","keywords":"Cryptosporidium; Biology; Protozoa; Giardia; Cryptosporidium parvum; Shellfish; Toxoplasma gondii; 18S ribosomal RNA; Oyster; DNA sequencing; Microbiology; Ribosomal RNA; Computational biology; Genetics; Gene; Ecology; Fishery; Fish <Actinopterygii>; Aquatic animal; Feces","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009379111,0.00008127715,0.0002252683,0.00006684834,0.00004440689,0.00000280677,0.0000412412,0.0001648312,0.000004882869],"category_scores_gemma":[0.00008510301,0.00007656174,0.00003495788,0.00009051367,0.00008176349,0.00004422349,0.00001455046,0.00006988541,0.000004634422],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001299829,"about_ca_system_score_gemma":0.00002399462,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007516748,"about_ca_topic_score_gemma":0.00007570578,"domain_scores_codex":[0.9993111,0.00006751704,0.000290193,0.0001813478,0.00001222947,0.0001375543],"domain_scores_gemma":[0.9996465,0.00008285744,0.0001119321,0.0000786375,0.00006591315,0.00001418335],"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":[0.00008626238,0.00004078187,0.03087267,0.00006429563,0.00003271321,3.28504e-7,0.0003755166,0.00009878387,0.9630315,0.00080676,0.00001205134,0.004578364],"study_design_scores_gemma":[0.0008746125,0.001094865,0.0171389,0.000008476529,0.00003796836,0.00002226199,0.00009604912,0.001992754,0.977981,0.0002753306,0.0003940621,0.00008373567],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9648898,0.0003198466,0.03388395,0.0001038077,0.0001065094,0.0006061766,0.00003679894,0.00001320116,0.00003993808],"genre_scores_gemma":[0.9993575,0.00002231019,0.0002697034,0.0000496976,0.00003932354,0.0001790645,0.00007379458,0.000006394944,0.0000022742],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03446766,"threshold_uncertainty_score":0.3122098,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04149581059468015,"score_gpt":0.2675738053617474,"score_spread":0.2260779947670672,"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."}}