{"id":"W2071057107","doi":"10.1021/ac502627w","title":"Application of Solid Phase Microextraction for Quantitation of Polyunsaturated Fatty Acids in Biological Fluids","year":2014,"lang":"en","type":"article","venue":"Analytical Chemistry","topic":"Mass Spectrometry Techniques and Applications","field":"Chemistry","cited_by":44,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto General Hospital; University of Waterloo","funders":"","keywords":"Chemistry; Polyunsaturated fatty acid; Chromatography; NEFA; Fish oil; Arachidonic acid; Solid-phase microextraction; Fatty acid; Fatty acid-binding protein; Mass spectrometry; Gas chromatography–mass spectrometry; Biochemistry; Fish <Actinopterygii>","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0001675955,0.000117491,0.0002669019,0.00004023856,0.0000236963,0.00000531646,0.0001554635,0.0002315732,0.000289115],"category_scores_gemma":[0.0001993991,0.0001122902,0.000109505,0.0002762645,0.00010227,0.00003670621,0.00001915746,0.0001376672,0.000001440566],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000478373,"about_ca_system_score_gemma":0.00001951665,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002078562,"about_ca_topic_score_gemma":0.000001091048,"domain_scores_codex":[0.9989873,0.000007428785,0.0004781334,0.0002613496,0.0001051124,0.0001606464],"domain_scores_gemma":[0.9992062,0.0001358289,0.0001950775,0.0002856937,0.0001253556,0.00005183037],"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":[0.00007015172,0.0003926161,0.002787974,0.0001847086,0.0000142441,8.423789e-8,0.000006198447,0.000006281703,0.9889976,0.005349425,0.00004642216,0.002144317],"study_design_scores_gemma":[0.0005989837,0.00004436846,0.0006286259,0.00002159228,0.00002696123,0.000001931627,0.00003157014,0.04416997,0.9506468,0.002580834,0.001140242,0.0001081153],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8105814,0.00002792955,0.1845381,0.0001455383,0.000004971631,0.0001238643,0.0001026594,0.00005762911,0.00441791],"genre_scores_gemma":[0.9953265,0.00001615833,0.004099019,0.00001050064,0.00005120523,0.00007093873,0.0003296823,0.00001018456,0.00008578768],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1847451,"threshold_uncertainty_score":0.457906,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02335521161888212,"score_gpt":0.349142148576665,"score_spread":0.3257869369577829,"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."}}