{"id":"W2972309508","doi":"10.1016/j.plantsci.2019.110257","title":"FTICR mass spectrometry-based multivariate analysis to explore distinctive metabolites and metabolic pathways: A comprehensive bioanalytical strategy toward time-course metabolic profiling of Thymus vulgaris plants responding to drought stress","year":2019,"lang":"en","type":"article","venue":"Plant Science","topic":"Metabolomics and Mass Spectrometry Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":30,"is_retracted":false,"has_abstract":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Metabolomics; Biology; Metabolic pathway; Metabolome; Computational biology; Biochemistry; Metabolism; Bioinformatics","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007863189,0.0004411398,0.001104473,0.00170527,0.0001959849,0.0001293243,0.00063161,0.0001081273,0.0000414418],"category_scores_gemma":[0.0004319444,0.0003638464,0.0002075823,0.003843645,0.0003078778,0.00003284672,0.0004234025,0.0001703139,0.00002203895],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002429147,"about_ca_system_score_gemma":0.0002337895,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007348383,"about_ca_topic_score_gemma":0.0000107835,"domain_scores_codex":[0.9965339,0.0001462472,0.000541752,0.001273516,0.0006824578,0.000822169],"domain_scores_gemma":[0.9982119,0.0001759643,0.000209374,0.0006550362,0.0003226553,0.000425038],"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":[0.000371572,0.0001100805,0.01131451,0.00002612591,0.000900864,0.000008151282,0.0003596459,0.001141171,0.9835254,0.001979091,0.000007663132,0.0002557091],"study_design_scores_gemma":[0.0005901284,0.0003542999,0.07419597,0.00002555539,0.0007596162,0.000005589978,0.001445328,0.005128411,0.9164699,0.00006580057,0.0004650485,0.0004943155],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9867315,0.002675202,0.007514026,0.0001016987,0.0001441233,0.0006566936,0.001830541,0.00002264968,0.0003235598],"genre_scores_gemma":[0.9774624,0.0002633005,0.02181573,0.0001162035,0.00007605893,0.00004005992,0.0001251364,0.00002379502,0.0000773535],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06705548,"threshold_uncertainty_score":0.9998813,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03010027173084218,"score_gpt":0.2872556404148573,"score_spread":0.2571553686840152,"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."}}