{"id":"W2768127016","doi":"10.1016/j.jchromb.2017.11.032","title":"Fast and quantitative determination of saxitoxin and neosaxitoxin in urine by ultra performance liquid chromatography-triple quadrupole mass spectrometry based on the cleanup of solid phase extraction with hydrophilic interaction mechanism","year":2017,"lang":"en","type":"article","venue":"Journal of Chromatography B","topic":"Marine Toxins and Detection Methods","field":"Environmental Science","cited_by":19,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"National Research Council Canada","keywords":"Chemistry; Chromatography; Mass spectrometry; Solid phase extraction; Saxitoxin; Extraction (chemistry); Urine; Triple quadrupole mass spectrometer; Mechanism (biology); Liquid chromatography–mass spectrometry; Selected reaction monitoring; Tandem mass spectrometry","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008194139,0.0008496524,0.000630302,0.0009744421,0.0005995767,0.0005573202,0.000595,0.0008826568,0.0005594714],"category_scores_gemma":[0.0009213774,0.0005385092,0.0004425797,0.0003865536,0.0006656129,0.0006908844,0.0008571735,0.0009505865,0.0004026487],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004157303,"about_ca_system_score_gemma":0.001209762,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001186739,"about_ca_topic_score_gemma":0.002378804,"domain_scores_codex":[0.9989566,0.0001556679,0.00004263043,0.0001615012,0.0006247671,0.00005887242],"domain_scores_gemma":[0.9995071,0.0001532622,0.00007044531,0.00003882731,0.0001594553,0.00007103074],"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":[0.0004018388,0.0001612116,0.004279668,0.00007161013,0.00007620751,0.00006988247,0.00005174848,0.0002214334,0.9613233,0.0003110051,0.0003322515,0.03269986],"study_design_scores_gemma":[0.00008560175,0.001020237,0.01930355,0.00001841518,0.00009088973,0.001685367,0.00005427046,0.01076863,0.9635698,0.000443741,0.002878828,0.00008074238],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7382264,0.0049822,0.249458,0.0006582142,0.0003469362,0.0006109435,0.001111472,0.00221962,0.002386302],"genre_scores_gemma":[0.842327,0.002092729,0.1478284,0.001009594,0.0001390782,0.0005131254,0.001078593,0.0001086515,0.00490283],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001186739,"threshold_uncertainty_score":0.004333556,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01160332262955602,"score_gpt":0.2987798253513157,"score_spread":0.2871765027217597,"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."}}