{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003822564,0.0009087949,0.0004700334,0.0004558112,0.00030305,0.0004026395,0.0005577897,0.001039705,0.0005715613],"category_scores_gemma":[0.0006199662,0.0003090096,0.000397777,0.0003656658,0.0004767978,0.0004439508,0.0007962306,0.0009282115,0.0007412032],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003637799,"about_ca_system_score_gemma":0.0005617724,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005889365,"about_ca_topic_score_gemma":0.001529502,"domain_scores_codex":[0.9992942,0.00009138137,0.00003227947,0.0002232694,0.0003250196,0.00003391513],"domain_scores_gemma":[0.9996276,0.0001524933,0.00005017409,0.00003137923,0.0001215848,0.00001683137],"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":[0.00002501369,0.00001229255,0.000294573,0.0001172997,0.00001489832,0.00004012531,0.00001902087,0.00009466105,0.9905704,0.00007160405,0.00005983045,0.00868031],"study_design_scores_gemma":[0.000007028774,0.0001814746,0.0009704016,0.00001599677,0.00002908671,0.0003652834,0.0000325403,0.002619943,0.9925108,0.0001769718,0.003076296,0.0000142954],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4195696,0.02515942,0.5457811,0.0009307234,0.0006969812,0.0006582512,0.001206306,0.001152115,0.004845574],"genre_scores_gemma":[0.6117238,0.01457189,0.3646609,0.0007695205,0.0001405987,0.0004418422,0.0006787796,0.00007626889,0.006936376],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001039705,"threshold_uncertainty_score":0.002639413,"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."}}