{"id":"W4313471174","doi":"10.3390/toxins15010027","title":"A Feasibility Study into the Production of a Mussel Matrix Reference Material for the Cyanobacterial Toxins Microcystins and Nodularins","year":2022,"lang":"en","type":"article","venue":"Toxins","topic":"Aquatic Ecosystems and Phytoplankton Dynamics","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"Interreg; Biotechnology and Biological Sciences Research Council; Directorate for Biological Sciences; Centre for Environment, Fisheries and Aquaculture Science","keywords":"Cyanotoxin; Mussel; Cyanobacteria; Chromatography; Certified reference materials; Shellfish; Liquid chromatography–mass spectrometry; Chemistry; Domoic acid; Microcystin; Mass spectrometry; Matrix (chemical analysis); Environmental chemistry; Biology; Toxin; Detection limit; Biochemistry; Fish <Actinopterygii>; Aquatic animal; Fishery","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":[0.001469861,0.0006527618,0.0002082789,0.0003801225,0.0003339235,0.0005161758,0.0005259672,0.000588998,0.0004704574],"category_scores_gemma":[0.001271805,0.0001771602,0.000458996,0.0002436611,0.0003302148,0.0003705476,0.0005004277,0.0003440572,0.0003583733],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003112401,"about_ca_system_score_gemma":0.0006049394,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009084854,"about_ca_topic_score_gemma":0.001428397,"domain_scores_codex":[0.9989071,0.0002563618,0.00005983022,0.0002554971,0.0004608976,0.00006029355],"domain_scores_gemma":[0.9994147,0.00009187057,0.000130483,0.0001087046,0.0002045899,0.00004978566],"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":[0.00005430666,0.00005486088,0.0005307861,0.00003598863,0.000004945619,0.0000556398,0.00002166991,0.0001372983,0.9970367,0.00003397578,0.00001039902,0.00202334],"study_design_scores_gemma":[0.00001692366,0.002470103,0.003733095,0.00001484726,0.00003535789,0.0002592263,0.00004577366,0.0008740932,0.9910581,0.00002380681,0.001460296,0.00000848116],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9627255,0.0004127208,0.03418197,0.00009615187,0.0000229127,0.0007030303,0.0003325919,0.0001021155,0.001423029],"genre_scores_gemma":[0.9283916,0.0006211057,0.0674388,0.00008662717,0.00001452413,0.0003454301,0.0008990293,0.00004053688,0.002162311],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001469861,"threshold_uncertainty_score":0.007773459,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01882381398664798,"score_gpt":0.2597569813339533,"score_spread":0.2409331673473053,"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."}}