{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004375658,0.0001266688,0.000387271,0.0002046602,0.00003088714,0.000004346345,0.00009108374,0.00009021671,0.000006125165],"category_scores_gemma":[0.00005978549,0.00009619959,0.0001073615,0.0003416978,0.00008633971,0.00001983681,0.00005344254,0.00004917597,1.630649e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004660242,"about_ca_system_score_gemma":0.00001360093,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007596267,"about_ca_topic_score_gemma":0.00004864919,"domain_scores_codex":[0.9991489,0.00007988459,0.0003412329,0.0001668947,0.00009376477,0.0001693301],"domain_scores_gemma":[0.9992352,0.00004767541,0.0003254444,0.000274154,0.0000727287,0.00004484572],"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":[0.0002198419,0.0001127142,0.03345134,0.0001449474,0.0002998828,1.166404e-7,0.0001390227,0.0000690233,0.9628659,0.00002704606,0.000009736416,0.002660383],"study_design_scores_gemma":[0.0006145493,0.0002753619,0.3305812,0.000008692024,0.0007784641,0.000002368379,0.00003022755,0.001777116,0.6656504,0.000002031772,0.0002104702,0.00006903158],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9949899,0.002081261,0.002521147,0.00001271095,0.00004829457,0.0002571474,0.00006575423,0.000002181297,0.00002154509],"genre_scores_gemma":[0.9983637,0.0009550029,0.0003687185,0.00001297589,0.00007097575,0.00002149739,0.0001400565,0.00001040959,0.00005664877],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2972155,"threshold_uncertainty_score":0.3922906,"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."}}