{"id":"W3089883854","doi":"10.1016/j.aca.2020.09.051","title":"Parallel metabolomics and lipidomics enables the comprehensive study of mouse brain regional metabolite and lipid patterns","year":2020,"lang":"en","type":"article","venue":"Analytica Chimica Acta","topic":"Metabolomics and Mass Spectrometry Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":36,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval; University of British Columbia","funders":"Canadian Institutes of Health Research; Natural Sciences and Engineering Research Council of Canada; University of British Columbia; National Alliance for Research on Schizophrenia and Depression","keywords":"Lipidome; Lipidomics; Metabolomics; Metabolome; Chemistry; Metabolite; Computational biology; Neuroscience; Biochemistry; Biology; Chromatography","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":[0.0005360444,0.001224493,0.0008042147,0.001501894,0.0003956253,0.0007628574,0.000547413,0.0005446242,0.001931266],"category_scores_gemma":[0.0003583382,0.0006241855,0.0007201154,0.0008250244,0.0004691795,0.0009577364,0.001150009,0.001304157,0.0006642757],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004626814,"about_ca_system_score_gemma":0.0005785393,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001057417,"about_ca_topic_score_gemma":0.002348588,"domain_scores_codex":[0.9996819,0.00002839918,0.00001706696,0.000114728,0.0001139352,0.00004400951],"domain_scores_gemma":[0.9996711,0.00003580907,0.00008350763,0.00009422761,0.00005782865,0.0000575411],"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":[0.0001337315,0.00001265448,0.0002811795,0.00002018753,0.000015974,0.00001905187,0.000005245015,0.00007251154,0.9963354,0.0002614643,0.00006002264,0.002782612],"study_design_scores_gemma":[0.00003396739,0.0001572709,0.008635576,0.000006286788,0.00006935509,0.0003144514,0.00001469751,0.002364741,0.9831708,0.001783273,0.003427689,0.0000217967],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.562835,0.003554286,0.416863,0.0008840642,0.0001634985,0.0002910004,0.00759453,0.002778637,0.005035921],"genre_scores_gemma":[0.6792729,0.005070524,0.2990697,0.0004407604,0.0001242351,0.0008104173,0.006713817,0.001048773,0.007448892],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.001931266,"threshold_uncertainty_score":0.006460786,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02499253799662506,"score_gpt":0.2522135941845022,"score_spread":0.2272210561878772,"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."}}