{"id":"W1983007196","doi":"10.1007/s11746-009-1412-5","title":"Determining Ethyl Esters in Fish Oil with Solid Phase Microextraction and GC–MS","year":2009,"lang":"en","type":"article","venue":"Journal of the American Oil Chemists Society","topic":"Mass Spectrometry Techniques and Applications","field":"Chemistry","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Fish oil; Solid-phase microextraction; Stearic acid; Polyunsaturated fatty acid; Palmitic acid; Chemistry; Ethyl ester; Fish <Actinopterygii>; Food science; Raw material; Long chain; Gas chromatography–mass spectrometry; Chromatography; Fatty acid; Biology; Organic chemistry; Fishery","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":[0.0007521327,0.001061966,0.0003896399,0.001173277,0.0005119899,0.0004123791,0.000574339,0.0008155859,0.001456831],"category_scores_gemma":[0.001260617,0.0004497752,0.0004345216,0.000769818,0.000551019,0.0005561032,0.0005773236,0.0007569838,0.001282431],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004886255,"about_ca_system_score_gemma":0.0008497593,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002120424,"about_ca_topic_score_gemma":0.006497544,"domain_scores_codex":[0.9989417,0.000132953,0.00009889762,0.0002474553,0.0005146489,0.00006440112],"domain_scores_gemma":[0.9991541,0.0003203042,0.0001022719,0.00006929568,0.000324939,0.00002912416],"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":[0.0000748237,0.00003756119,0.0006200828,0.00007208754,0.00002003258,0.00003883065,0.00002696156,0.0002525437,0.9909649,0.00008566978,0.00007634547,0.007730119],"study_design_scores_gemma":[0.000007233877,0.00009418459,0.0007562419,0.0000103398,0.00001268394,0.00005525275,0.00002665842,0.003020081,0.9943667,0.0001024183,0.001535328,0.0000128576],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.5114449,0.004444323,0.4683217,0.0005287135,0.000498682,0.001188667,0.004631217,0.002368678,0.006573215],"genre_scores_gemma":[0.4261452,0.003142846,0.5562035,0.0004524511,0.00006658038,0.0008715208,0.001587742,0.0002003517,0.01132985],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.002120424,"threshold_uncertainty_score":0.004873574,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008190825084798596,"score_gpt":0.2982839844128188,"score_spread":0.2900931593280202,"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."}}