{"id":"W4293246821","doi":"10.1101/2022.05.11.491395","title":"Characterization and visualization of global metabolomic responses of <i>Brachypodium distachyon</i> to environmental changes","year":2022,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Metabolomics and Mass Spectrometry Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada's Michael Smith Genome Sciences Centre; University of British Columbia; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; National Institute of Food and Agriculture; Genome Canada; Ontario Genomics; Joint Genome Institute; Office of Science; U.S. Department of Agriculture; U.S. Department of Energy","keywords":"Brachypodium distachyon; Metabolomics; Metabolome; Brachypodium; Metabolite; Chemistry; Abiotic stress; Computational biology; Biochemistry; Biology; Genome; 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":[0.00007192498,0.0002375583,0.0001594007,0.0005777968,0.0001457716,0.0002773286,0.0001452023,0.0001836262,0.001252045],"category_scores_gemma":[0.00008033499,0.0001329249,0.0002426827,0.0003803357,0.00008639957,0.0001857443,0.0002072915,0.0002931665,0.0002218067],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001554865,"about_ca_system_score_gemma":0.0001219519,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001617521,"about_ca_topic_score_gemma":0.001991171,"domain_scores_codex":[0.9999658,0.000002087795,0.000001642138,0.0000145536,0.000008486335,0.000007431605],"domain_scores_gemma":[0.9999247,0.00001607686,0.00002216466,0.000005780188,0.00001303276,0.00001836577],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00005786394,0.000005242782,0.0007909939,0.00003017862,0.00000708583,0.00003706868,0.00001444612,0.0001407605,0.9965354,0.00003104583,0.00007661182,0.00227325],"study_design_scores_gemma":[0.00002468174,0.0001539669,0.1764421,0.00001702005,0.00006528691,0.0005909304,0.0001471853,0.01899036,0.7988647,0.0002831642,0.004374224,0.00004633007],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9684727,0.0004176161,0.02017789,0.0001369874,0.00001997622,0.00002807157,0.008170292,0.00113394,0.001442585],"genre_scores_gemma":[0.9430293,0.0005638573,0.04485612,0.0001791519,0.00001811517,0.00009784391,0.008613151,0.0003259036,0.002316493],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001617521,"threshold_uncertainty_score":0.004188538,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008533019244217156,"score_gpt":0.2287088084605856,"score_spread":0.2201757892163684,"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."}}