{"id":"W2000081597","doi":"10.1007/s11306-010-0231-x","title":"Metabolomics in pesticide research and development: review and future perspectives","year":2010,"lang":"en","type":"article","venue":"Metabolomics","topic":"Metabolomics and Mass Spectrometry Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":124,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Metabolomics; Biotechnology; Agrochemical; Biochemical engineering; Pharmacogenomics; Functional genomics; Biology; Computational biology; Genomics; Risk analysis (engineering); Agriculture; Pharmacology; Bioinformatics; Engineering; Ecology; Medicine","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":[0.00468274,0.001384081,0.003637946,0.00254517,0.0005223943,0.00273234,0.001536664,0.002942425,0.003947159],"category_scores_gemma":[0.002155095,0.0004484417,0.0009503035,0.00366965,0.001130386,0.003289998,0.001049346,0.001513995,0.001868352],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001097493,"about_ca_system_score_gemma":0.00195904,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001529119,"about_ca_topic_score_gemma":0.003472449,"domain_scores_codex":[0.9992995,0.000227824,0.00009797767,0.0001176796,0.0001973681,0.00005959911],"domain_scores_gemma":[0.9970391,0.001744147,0.000262018,0.00006611554,0.0007509701,0.0001378063],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005983555,0.0001733062,0.0008894177,0.01381354,0.000261307,0.0008798806,0.00007907763,0.0006623871,0.006451854,0.003866545,0.01294282,0.9593816],"study_design_scores_gemma":[0.0002311328,0.001260735,0.004225543,0.007737529,0.001278597,0.005503314,0.0005442589,0.00114169,0.007077444,0.0120133,0.9588467,0.0001396506],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0002158287,0.9973071,0.0007886191,0.001005634,0.0002305976,0.000005287701,0.000009995496,0.000006365557,0.000430748],"genre_scores_gemma":[0.001646725,0.9956555,0.0009795206,0.000497079,0.0008582128,0.000008403835,0.00001470881,0.000001923109,0.0003378316],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.00468274,"threshold_uncertainty_score":0.02476496,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02305719507654507,"score_gpt":0.3104849673378048,"score_spread":0.2874277722612597,"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."}}