{"id":"W1657003721","doi":"10.1093/jaoac/94.4.1154","title":"Liquid Chromatography Post-Column Oxidation (PCOX) Method for the Determination of Paralytic Shellfish Toxins in Mussels, Clams, Oysters, and Scallops: Collaborative Study","year":2011,"lang":"en","type":"article","venue":"Journal of AOAC International","topic":"Marine Toxins and Detection Methods","field":"Environmental Science","cited_by":144,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute for Marine Biosciences; Canadian Food Inspection Agency","funders":"Centre for Environment, Fisheries and Aquaculture Science; Canadian Food Inspection Agency; National Research Council Canada; Institut Français de Recherche pour l'Exploitation de la Mer; Queensland Health; Dartmouth College","keywords":"Saxitoxin; Mytilus; Crassostrea; Shellfish; Chromatography; Bivalvia; Fishery; Oyster; Shellfish poisoning; Environmental chemistry; Mollusca; Mussel; Paralytic shellfish poisoning; Toxin; Chemistry; Biology; Fish <Actinopterygii>; Aquatic animal; Zoology; Microbiology","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":[0.01141082,0.0005232724,0.0005724557,0.0009264501,0.0008129876,0.0006907804,0.001166367,0.0008387695,0.0003940486],"category_scores_gemma":[0.005335545,0.0004172824,0.0005826264,0.00076259,0.0007730615,0.0004629757,0.001010457,0.0006147819,0.0002610832],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009645696,"about_ca_system_score_gemma":0.002947983,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008346293,"about_ca_topic_score_gemma":0.009234819,"domain_scores_codex":[0.9893205,0.00299316,0.0004762732,0.00121816,0.00569494,0.0002970786],"domain_scores_gemma":[0.9939507,0.0009372836,0.0009370035,0.0006823766,0.003190827,0.0003018006],"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":[0.000645888,0.001061297,0.05604197,0.0002851271,0.0002340415,0.0001628089,0.0009135087,0.002120544,0.8961942,0.0002484871,0.0002422199,0.04184989],"study_design_scores_gemma":[0.0002022258,0.01098544,0.1506722,0.00005612139,0.0003819014,0.001608775,0.0006618852,0.009718562,0.8181767,0.0001093887,0.007344212,0.00008252938],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9463037,0.0007350086,0.04995335,0.0001061681,0.00001651523,0.0009599617,0.0002245871,0.0001194838,0.001581139],"genre_scores_gemma":[0.9086404,0.0008865557,0.0849658,0.0001842742,0.00002160871,0.0008392548,0.0009915516,0.00003848974,0.003432123],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01141082,"threshold_uncertainty_score":0.0603469,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.017989518852049,"score_gpt":0.3019804381832955,"score_spread":0.2839909193312464,"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."}}