{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004852847,0.0006428398,0.000775289,0.001980315,0.0004005202,0.001111413,0.0002776177,0.0002734225,0.001156146],"category_scores_gemma":[0.0003674373,0.000209976,0.0009967259,0.00212233,0.0002363485,0.001054485,0.0008130508,0.0005010709,0.0002458868],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000453297,"about_ca_system_score_gemma":0.0004438634,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001822659,"about_ca_topic_score_gemma":0.003594309,"domain_scores_codex":[0.999674,0.00005793077,0.00002439624,0.0001424204,0.00005655018,0.00004468576],"domain_scores_gemma":[0.9997448,0.00007355854,0.00006492106,0.00003635978,0.00004592888,0.00003435571],"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":[0.0009183231,0.0002582866,0.1106797,0.002213598,0.002695245,0.0005706763,0.0008963685,0.0142895,0.7471987,0.004078329,0.002229733,0.1139715],"study_design_scores_gemma":[0.0000424186,0.0003404325,0.8145611,0.0002283723,0.001843155,0.0005304279,0.001483123,0.09403004,0.04234718,0.02132711,0.02315547,0.0001111795],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8831028,0.009640091,0.07437418,0.0006783415,0.00009496824,0.00007402485,0.02768559,0.0007380573,0.003612004],"genre_scores_gemma":[0.9390392,0.003399909,0.03000089,0.000213493,0.00004935785,0.000100248,0.02542259,0.0001043778,0.001670009],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001980315,"threshold_uncertainty_score":0.003867686,"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."}}