{"id":"W4210736356","doi":"10.1016/j.talanta.2022.123267","title":"Fast screening of saxitoxin, neosaxitoxin, and decarbamoyl analogues in fresh and brackish surface waters by on-line enrichment coupled to HILIC-HRMS","year":2022,"lang":"en","type":"article","venue":"Talanta","topic":"Marine Toxins and Detection Methods","field":"Environmental Science","cited_by":20,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal","funders":"Agence Nationale de la Recherche; Génome Québec; Genome Canada","keywords":"Chemistry; Chromatography; Hydrophilic interaction chromatography; Brackish water; Matrix (chemical analysis); Surface water; Saxitoxin; Filtration (mathematics); Derivatization; Detection limit; Mass spectrometry; Analytical Chemistry (journal); Environmental chemistry; High-performance liquid chromatography; Salinity; Ecology","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":[0.0002508979,0.000682367,0.0003495206,0.0003396479,0.0002724779,0.0003015881,0.0003214209,0.00041746,0.0009769766],"category_scores_gemma":[0.0002881465,0.0002412848,0.0002153478,0.0001767832,0.0002181859,0.000204281,0.000491799,0.0004226779,0.0005582446],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001987652,"about_ca_system_score_gemma":0.0003458988,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007581847,"about_ca_topic_score_gemma":0.00218523,"domain_scores_codex":[0.9996729,0.00004578826,0.00001213511,0.00006394598,0.0001637689,0.00004153361],"domain_scores_gemma":[0.9998792,0.00002877318,0.00001908426,0.00001008574,0.00004498962,0.00001785624],"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":[0.00005366885,0.00001498715,0.000310241,0.00002164659,0.000008478109,0.00002630455,0.00001412941,0.00004617054,0.9966441,0.00002672108,0.00004709914,0.002786453],"study_design_scores_gemma":[0.00001181336,0.0002771063,0.002453348,0.000007419652,0.00001970415,0.0002098331,0.00005602627,0.001492894,0.993866,0.0000468856,0.001549394,0.000009478773],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9617627,0.001682312,0.03123786,0.0002128818,0.00005740274,0.0001602321,0.0008602188,0.0004521927,0.003574184],"genre_scores_gemma":[0.9556738,0.00208346,0.03370402,0.0003779634,0.00001978987,0.0001546912,0.001158059,0.00006497306,0.00676317],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009769766,"threshold_uncertainty_score":0.003268301,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01412680600375066,"score_gpt":0.2571246523800077,"score_spread":0.242997846376257,"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."}}