{"id":"W4385476964","doi":"10.1007/s00216-023-04868-4","title":"Preparation of 18O-labelled azaspiracids for accurate quantitation using liquid chromatography–mass spectrometry","year":2023,"lang":"en","type":"article","venue":"Analytical and Bioanalytical Chemistry","topic":"Marine Toxins and Detection Methods","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"National Research Council Canada; Ohio State University","keywords":"Chemistry; Chromatography; Isotope dilution; Mass spectrometry; Marine toxin; Biomolecule; Stable isotope ratio","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":[0.00163012,0.001638514,0.0008409446,0.001299536,0.0007018316,0.0007934145,0.0008034762,0.001292586,0.001487379],"category_scores_gemma":[0.001898486,0.0005920778,0.0007391945,0.0008452325,0.0007046849,0.0007426434,0.0006026432,0.001376082,0.001396417],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000761398,"about_ca_system_score_gemma":0.001035839,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001322087,"about_ca_topic_score_gemma":0.002489459,"domain_scores_codex":[0.9984248,0.0002417258,0.0001354278,0.000359487,0.0007103186,0.0001283012],"domain_scores_gemma":[0.9991303,0.0001755405,0.0001690746,0.0001192727,0.0003441708,0.00006155908],"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":[0.00003694996,0.00002480916,0.0001793521,0.0000405944,0.00001190263,0.00002221863,0.0000122324,0.0001595472,0.9970518,0.00008898238,0.00005937281,0.002312278],"study_design_scores_gemma":[0.00001285281,0.0001488642,0.0008714782,0.00001307897,0.0000148672,0.00006839172,0.0000210611,0.002538085,0.9937065,0.0001198226,0.00246469,0.00002020499],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4868616,0.005649326,0.4929715,0.0003365241,0.0004524598,0.001404865,0.003927876,0.002746527,0.005649195],"genre_scores_gemma":[0.5287629,0.00481729,0.4535573,0.0005722496,0.0001348792,0.001977703,0.003937677,0.0004810422,0.005758969],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001638514,"threshold_uncertainty_score":0.008621037,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03541218919190887,"score_gpt":0.3508942811558892,"score_spread":0.3154820919639803,"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."}}