{"id":"W2074743588","doi":"10.1080/07352689.2014.870420","title":"Transcriptomic, Proteomic, Metabolomic and Functional Genomic Approaches for the Study of Abiotic Stress in Vegetable Crops","year":2014,"lang":"en","type":"article","venue":"Critical Reviews in Plant Sciences","topic":"Plant Stress Responses and Tolerance","field":"Agricultural and Biological Sciences","cited_by":104,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Innovates","funders":"Priority Academic Program Development of Jiangsu Higher Education Institutions; Natural Science Foundation of Jiangsu Province; National Natural Science Foundation of China","keywords":"Metabolomics; Abiotic stress; Biology; Transcriptome; Biotechnology; Genomics; Proteomics; Functional genomics; Abiotic component; Computational biology; Molecular breeding; Genome; Gene; Genetics; Bioinformatics; Gene expression; Ecology","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":[],"consensus_categories":[],"category_scores_codex":[0.001542667,0.0001261967,0.0003771195,0.00002623448,0.000195582,0.00005617484,0.0002913107,0.00004225058,0.00001815194],"category_scores_gemma":[0.0004061112,0.00004176405,0.00005154325,0.0002283824,0.0003514249,0.0001306139,0.00003607437,0.0001093713,0.000001669831],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008109699,"about_ca_system_score_gemma":0.00001042667,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001898463,"about_ca_topic_score_gemma":0.001961803,"domain_scores_codex":[0.9985512,0.0002536391,0.0004034705,0.0003511407,0.0001580705,0.0002824267],"domain_scores_gemma":[0.9981166,0.001709873,0.00006088518,0.00005400433,0.00001277804,0.00004586493],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001608601,0.003399679,0.364631,0.001178027,0.00004714792,0.00001011726,0.001990035,0.001216133,0.2456881,0.04936397,0.0002040405,0.3306631],"study_design_scores_gemma":[0.000657446,0.0007390258,0.9662832,0.0003426658,0.00004313979,0.00001689082,0.0007706218,0.02046941,0.001524533,0.002571623,0.006288547,0.0002929229],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9897732,0.008183623,0.00004326125,0.00068184,0.00009808051,0.001063332,0.00008882986,0.000004872414,0.00006301945],"genre_scores_gemma":[0.9984552,0.001143932,0.0001177146,0.00006052106,0.00005121289,0.0001538891,0.000005406013,6.020019e-7,0.00001156379],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6016522,"threshold_uncertainty_score":0.1703089,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1182873739523826,"score_gpt":0.2757310399214243,"score_spread":0.1574436659690417,"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."}}