{"id":"W2726293822","doi":"10.3389/fpls.2017.01124","title":"Multi-Omics and Integrated Network Analyses Reveal New Insights into the Systems Relationships between Metabolites, Structural Genes, and Transcriptional Regulators in Developing Grape Berries (Vitis vinifera L.) Exposed to Water Deficit","year":2017,"lang":"en","type":"article","venue":"Frontiers in Plant Science","topic":"Horticultural and Viticultural Research","field":"Agricultural and Biological Sciences","cited_by":134,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Genome British Columbia; Fondazione Edmund Mach","keywords":"Gene; Transcriptome; Transcription factor; Ripening; Biology; Metabolic pathway; Transcriptional regulation; Signal transduction; Regulation of gene expression; Gene expression; Promoter; Metabolomics; Berry; RNA-Seq; Cell biology; Biochemistry; Botany; Bioinformatics","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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0007406438,0.0001994128,0.0003142728,0.00007285368,0.001722176,0.0007148727,0.0005746229,0.0001008727,0.000002197222],"category_scores_gemma":[0.0002031059,0.00006274354,0.00003233,0.0005513774,0.0005394972,0.0007019116,0.0001669412,0.0002710529,9.914944e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009164165,"about_ca_system_score_gemma":0.00004723215,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003639034,"about_ca_topic_score_gemma":0.008264695,"domain_scores_codex":[0.9980723,0.0001742436,0.0003735146,0.0004820419,0.0003870585,0.0005108676],"domain_scores_gemma":[0.9993889,0.0001143877,0.00007807962,0.00009849913,0.00008742177,0.0002327479],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006198686,0.000007273979,0.7889506,0.00001346584,0.00002448729,0.00001003981,0.004810676,0.0002158097,0.1891721,0.001343841,0.0002227042,0.01516709],"study_design_scores_gemma":[0.0001594653,0.00003701943,0.9904441,0.00008869224,0.00001165577,0.000009592739,0.001898505,0.001545028,0.003356631,0.0006272424,0.001604734,0.0002173717],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9953109,0.002287184,0.00007008595,0.001594155,0.000289333,0.000374454,0.00005172065,0.00001555387,0.000006597346],"genre_scores_gemma":[0.9954208,0.0003339133,0.003838505,0.00003922992,0.0001256952,0.00001462715,0.0001207236,0.00000123983,0.0001052297],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2014935,"threshold_uncertainty_score":0.9995775,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0894979253927825,"score_gpt":0.2896444871479979,"score_spread":0.2001465617552154,"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."}}