{"id":"W2010464637","doi":"10.1007/s00216-011-4803-z","title":"A mussel tissue certified reference material for multiple phycotoxins. Part 2: liquid chromatography–mass spectrometry, sample extraction and quantitation procedures","year":2011,"lang":"en","type":"article","venue":"Analytical and Bioanalytical Chemistry","topic":"Marine Toxins and Detection Methods","field":"Environmental Science","cited_by":43,"is_retracted":false,"has_abstract":false,"ca_institutions":"National Research Council Canada; Institute for Marine Biosciences","funders":"European Commission","keywords":"Chromatography; Domoic acid; Certified reference materials; Chemistry; Mussel; Mass spectrometry; Sample preparation; Marine toxin; Matrix (chemical analysis); Solid phase extraction; Liquid chromatography–mass spectrometry; Okadaic acid; Extraction (chemistry); Detection limit; Toxin; Biology","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":[0.001368691,0.001322518,0.000545279,0.002801963,0.001347498,0.0007240633,0.001499397,0.001435637,0.006620666],"category_scores_gemma":[0.002396156,0.00079711,0.0006280353,0.001152296,0.0005195514,0.0004701304,0.000764872,0.0008162347,0.004753311],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006470853,"about_ca_system_score_gemma":0.001683196,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002532965,"about_ca_topic_score_gemma":0.006546422,"domain_scores_codex":[0.9975484,0.0002763116,0.0002152314,0.0005834292,0.001269444,0.000107168],"domain_scores_gemma":[0.9989569,0.0001365814,0.0001161545,0.0003024233,0.0004304393,0.00005740816],"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":[0.000245907,0.0002010626,0.002951807,0.0002541631,0.00006822673,0.0001963445,0.00007136373,0.0005006436,0.9606449,0.0003255545,0.002306626,0.03223344],"study_design_scores_gemma":[0.0000921677,0.0006771214,0.02982059,0.0001282098,0.000144204,0.001621658,0.00005965796,0.00233566,0.9239073,0.000501126,0.04063331,0.00007899281],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4675583,0.007506893,0.4565919,0.0006764501,0.0007171257,0.004441301,0.02417559,0.008343812,0.02998862],"genre_scores_gemma":[0.4941239,0.006182798,0.3194302,0.002215512,0.0001752387,0.006764888,0.07582019,0.001270487,0.09401684],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006620666,"threshold_uncertainty_score":0.02214837,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04501840399961855,"score_gpt":0.2935427651210218,"score_spread":0.2485243611214033,"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."}}