{"id":"W3024799945","doi":"10.1021/acschemneuro.0c00270","title":"Investigation of Early Death-Induced Changes in Rat Brain by Solid Phase Microextraction via Untargeted High Resolution Mass Spectrometry: <i>In Vivo</i> versus Postmortem Comparative Study","year":2020,"lang":"en","type":"article","venue":"ACS Chemical Neuroscience","topic":"Metabolomics and Mass Spectrometry Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre for Addiction and Mental Health; University of Waterloo","funders":"Ontario Brain Institute; Natural Sciences and Engineering Research Council of Canada; Fondation Brain Canada; Merck; Pfizer","keywords":"Neurochemical; In vivo; Neurochemistry; Metabolomics; Metabolite; Mass spectrometry; Solid-phase microextraction; Forensic toxicology; Chemistry; Postmortem Changes; Neuroscience; Biology; Gas chromatography–mass spectrometry; Pathology; Medicine; Biochemistry; Chromatography; Neurology; Genetics","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":[0.0002315001,0.0007970051,0.0003060764,0.000393678,0.0002008281,0.0002760113,0.0002890002,0.0003710598,0.0008027679],"category_scores_gemma":[0.00023129,0.0001775415,0.0003374797,0.0002190574,0.0004394666,0.000364717,0.0003130754,0.0005690186,0.0003400662],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001654389,"about_ca_system_score_gemma":0.0002396919,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004465469,"about_ca_topic_score_gemma":0.001172708,"domain_scores_codex":[0.9998747,0.00001000217,0.000008565893,0.00005125918,0.00002587016,0.00002960075],"domain_scores_gemma":[0.9998091,0.000031724,0.00006839034,0.0000246652,0.00004271868,0.00002351936],"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":[0.0001154152,0.00001519577,0.0003274019,0.00003810471,0.000005546305,0.00005798191,0.00002272253,0.00001981335,0.9982109,0.00002509249,0.00001332619,0.001148433],"study_design_scores_gemma":[0.000005182867,0.0005304913,0.00622893,0.000005387824,0.00002842173,0.0002001179,0.00005696315,0.0002825818,0.9919868,0.00005639946,0.0006111154,0.00000761766],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9646904,0.003782898,0.02867681,0.0001438372,0.0001057798,0.0001279236,0.0008853571,0.0002582605,0.0013287],"genre_scores_gemma":[0.9486113,0.005871374,0.03922597,0.0002919758,0.00005492716,0.0003003035,0.001435132,0.0001211472,0.00408782],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008027679,"threshold_uncertainty_score":0.002685487,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04440250602738062,"score_gpt":0.3114059400491536,"score_spread":0.267003434021773,"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."}}