{"id":"W2093896106","doi":"10.1039/c2an15887f","title":"Elucidation of matrix effects and performance of solid-phase extraction for LC-MS/MS analysis of β-N-methylamino-l-alanine (BMAA) and 2,4-diaminobutyric acid (DAB) neurotoxins in cyanobacteria","year":2012,"lang":"en","type":"article","venue":"The Analyst","topic":"Amino Acid Enzymes and Metabolism","field":"Biochemistry, Genetics and Molecular Biology","cited_by":50,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute for Marine Biosciences","funders":"Fundamental Research Funds for the Central Universities; National Research Council Canada","keywords":"Chemistry; Chromatography; Cyanobacteria; Solid phase extraction; Microcystis aeruginosa; Hydrophilic interaction chromatography; Mass spectrometry; Extraction (chemistry); Alanine; Matrix (chemical analysis); Liquid chromatography–mass spectrometry; Lysine; High-performance liquid chromatography; Amino acid; Bacteria; Biochemistry; Biology","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":[0.0005771902,0.0008688242,0.0003980136,0.0002948267,0.0003652051,0.0004863261,0.0002731385,0.0005444711,0.0004358848],"category_scores_gemma":[0.0008811916,0.0003131874,0.0003186478,0.0003130933,0.0002999736,0.0003792866,0.000316586,0.0004466267,0.0003477943],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004318152,"about_ca_system_score_gemma":0.0008971954,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002104477,"about_ca_topic_score_gemma":0.003559376,"domain_scores_codex":[0.9993692,0.0001138304,0.00004419035,0.0001248065,0.0002809919,0.00006700136],"domain_scores_gemma":[0.9996517,0.0001224296,0.00006669111,0.00001919351,0.0001071901,0.00003281464],"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":[0.00004228283,0.00000733792,0.0002599786,0.00002947884,0.000007096098,0.00002452197,0.000009979503,0.00005861125,0.9983718,0.00001212471,0.000009664011,0.001167218],"study_design_scores_gemma":[0.000008223463,0.0001290967,0.004374627,0.000005334656,0.00001803232,0.0001739829,0.0000179511,0.001845245,0.9927659,0.0000324287,0.0006188756,0.00001045785],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.952917,0.005515018,0.03896055,0.0002151974,0.00008816705,0.0002034058,0.0006108839,0.0002969537,0.001192852],"genre_scores_gemma":[0.9471931,0.004054814,0.04598673,0.0002393012,0.00003817884,0.0002239707,0.0006011086,0.00008191848,0.001580938],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.002104477,"threshold_uncertainty_score":0.004184425,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008628107755721797,"score_gpt":0.3085518983795756,"score_spread":0.2999237906238538,"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."}}