{"id":"W2088492516","doi":"10.1080/19440049.2012.699005","title":"Analysis of paralytic shellfish toxins and their metabolites in shellfish from the North Yellow Sea of China","year":2012,"lang":"en","type":"article","venue":"Food Additives & Contaminants Part A","topic":"Marine Toxins and Detection Methods","field":"Environmental Science","cited_by":44,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute for Marine Biosciences","funders":"","keywords":"Patinopecten yessoensis; Scallop; Shellfish; Shellfish poisoning; Biology; Metabolite; Toxin; Saxitoxin; Bivalvia; Mollusca; Fishery; Environmental chemistry; Zoology; Aquatic animal; Chemistry; Microbiology; Biochemistry; Fish <Actinopterygii>","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":[0.0001760119,0.0005005391,0.0002790622,0.001537158,0.0005028982,0.0002890468,0.0001774969,0.0002944157,0.0003356546],"category_scores_gemma":[0.0001824358,0.0002148017,0.000288247,0.00103929,0.0003265105,0.0002165242,0.0003643741,0.0001800972,0.00008374667],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004160262,"about_ca_system_score_gemma":0.0008348607,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02182604,"about_ca_topic_score_gemma":0.04256544,"domain_scores_codex":[0.9998429,0.000007328114,0.00001984086,0.00003940933,0.00007102994,0.00001949655],"domain_scores_gemma":[0.9997985,0.000009783136,0.00007101941,0.00000820866,0.00007049436,0.00004204563],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002288149,0.00005490706,0.6521569,0.0001876343,0.00008930774,0.0007769173,0.0009031391,0.0002444369,0.3323784,0.00004168314,0.00008656688,0.01285135],"study_design_scores_gemma":[0.000007424896,0.0001209239,0.9887125,0.000005347411,0.00003588947,0.0002772029,0.0003121822,0.0002225229,0.009896601,0.00001416932,0.0003876693,0.000007463715],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994832,0.0001158402,0.00009266328,0.000006924494,0.000001316714,0.000007283987,0.0001537055,0.000003154278,0.0001358375],"genre_scores_gemma":[0.9974252,0.0002965162,0.0005178683,0.00004316843,0.000003856931,0.00002187194,0.0007007332,0.000003423768,0.0009873736],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02182604,"threshold_uncertainty_score":0.04339796,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01557492118774092,"score_gpt":0.2427799823561431,"score_spread":0.2272050611684021,"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."}}