{"id":"W3178949067","doi":"","title":"QUANTIFICATION AND CHARACTERIZATION OF MINERAL OIL IN FISH FEED BY LC-GC-FID AND LC-GC×GC-TOFMS/FID.","year":2021,"lang":"en","type":"article","venue":"ORBi (University of Liège)","topic":"Aquaculture Nutrition and Growth","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"European Social Fund; Instituto Nacional de Ciência e Tecnologia de Bioanalítica; Agencia Estatal de Investigación; Govern de les Illes Balears; Agencia Nacional de Investigación y Desarrollo; Ministerio de Educación y Formación Profesional; Centro de Química Estrutural; Instituto Colombiano de Crédito Educativo y Estudios Técnicos en el Exterior; Royal Golden Jubilee (RGJ) Ph.D. Programme; Consejería de Educación e Investigación; Ministerio de Asuntos Económicos y Transformación Digital, Gobierno de España; Fundação para a Ciência e a Tecnologia; Regione Liguria; Comunidad Autónoma de la Región de Murcia; International Max Planck Research School for Advanced Methods in Process and Systems Engineering; Instituto Nacional de Ciência e Tecnologia Translacional em Medicina; Universidad de Alcalá; Ministério da Ciência, Tecnologia e Ensino Superior; European Regional Development Fund; Universitat de Barcelona; Norges Forskningsråd; Universidad de Murcia; Secretaría de Estado de Investigación, Desarrollo e Innovación; Ministry of Education and Science of the Republic of Kazakhstan; Narodowym Centrum Nauki; Junta de Andalucía; Thailand Research Fund; Akademie Věd České Republiky; Ministerul Educaţiei Naţionale; Univerzita Karlova v Praze; Fonds De La Recherche Scientifique - FNRS; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Xunta de Galicia; Petrobras; Universitat de València; Consellería de Cultura, Educación e Ordenación Universitaria, Xunta de Galicia; Generalitat Valenciana; “la Caixa” Foundation; Universidad de Castilla-La Mancha; Ministério da Ciência, Tecnologia e Inovação; European Commission; Fundação de Amparo à Pesquisa do Estado de São Paulo; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; Agência Regional para o Desenvolvimento da Investigação, Tecnologia e Inovação; Natural Sciences and Engineering Research Council of Canada; Ministerio de Economía y Competitividad; National Natural Science Foundation of China; European Chemical Society; Ministerio de Ciencia e Innovación; Agilent Technologies; Universidad de Alicante; European Food Safety Authority; Agencia Canaria de Investigación, Innovación y Sociedad de la Información; Ministarstvo Prosvete, Nauke i Tehnološkog Razvoja; Eusko Jaurlaritza; Chiang Mai University; Grantová Agentura, Univerzita Karlova; Consellería de Economía, Emprego e Industria, Xunta de Galicia; Comunidad de Madrid; Grantová Agentura České Republiky; Universidad Industrial de Santander; Westfälische Wilhelms-Universität Münster; Ministerio de Ciencia, Innovación y Universidades; Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria; Deutsche Forschungsgemeinschaft; Departamento Administrativo de Ciencia, Tecnología e Innovación (COLCIENCIAS); Centro para el Desarrollo Tecnológico Industrial; Commission on Higher Education; National Science Foundation","keywords":"Chromatography; Chemistry; Gas chromatography–mass spectrometry; Fish <Actinopterygii>; Gas chromatography; Mass spectrometry; Biology; Fishery","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008971283,0.0009120175,0.0003866087,0.002871511,0.0007787402,0.0004708491,0.0005869324,0.0006095408,0.004369962],"category_scores_gemma":[0.001717901,0.0003158751,0.0004084567,0.0008695882,0.0006337074,0.0006762439,0.0006779003,0.0005754399,0.001900682],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008386332,"about_ca_system_score_gemma":0.002114175,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008975176,"about_ca_topic_score_gemma":0.0168944,"domain_scores_codex":[0.9989045,0.0001010895,0.00006751232,0.0002645683,0.0005656744,0.00009669956],"domain_scores_gemma":[0.9994559,0.00009211308,0.00005771137,0.0000402013,0.0003174119,0.00003670157],"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":[0.000300734,0.00004493506,0.002623683,0.0003189738,0.00004801585,0.0001094157,0.00009702309,0.0002449188,0.9672037,0.0002659545,0.0004622085,0.02828045],"study_design_scores_gemma":[0.00001835838,0.0002166605,0.008182974,0.00008001477,0.00004966434,0.000401588,0.0001356556,0.002405923,0.9721491,0.0002525454,0.01606458,0.00004299599],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7366949,0.01398782,0.2104288,0.0006587894,0.0006178563,0.001332904,0.01397598,0.002862971,0.0194401],"genre_scores_gemma":[0.7366721,0.007393335,0.2128625,0.0005129371,0.00007138013,0.00129706,0.006124163,0.0006419515,0.03442461],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008975176,"threshold_uncertainty_score":0.01784587,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01302512313673339,"score_gpt":0.1811740140698837,"score_spread":0.1681488909331503,"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."}}