{"id":"W4289315825","doi":"10.1016/j.plgene.2022.100374","title":"Cowpea transcriptional reprogramming during two different physiological moments of root dehydration","year":2022,"lang":"en","type":"article","venue":"Plant Gene","topic":"Plant Stress Responses and Tolerance","field":"Agricultural and Biological Sciences","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Sherbrooke","funders":"Fundação de Amparo à Ciência e Tecnologia do Estado de Pernambuco; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Biology; Transcriptome; Dehydration; In silico; Gene; Reprogramming; Transcription factor; KEGG; Botany; Gene expression; Genetics; Biochemistry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008704419,0.0002772956,0.0003545651,0.0001851606,0.0002479292,0.0004175257,0.0001613018,0.0002975179,0.001589917],"category_scores_gemma":[0.0001172455,0.0001873607,0.0002724875,0.000148303,0.0002674099,0.0003783395,0.0003580606,0.0007720238,0.0002377794],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005657716,"about_ca_system_score_gemma":0.0002170006,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002310263,"about_ca_topic_score_gemma":0.003292814,"domain_scores_codex":[0.999892,0.000009677573,0.000004214799,0.00004160234,0.00001125079,0.00004137207],"domain_scores_gemma":[0.9999063,0.00002332098,0.00001449653,0.00001267124,0.0000125403,0.00003068115],"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":[0.0001754067,0.000006725904,0.0001770735,0.00001589651,0.000002674319,0.00003231117,0.00004298305,0.00001916121,0.9990925,0.00008967146,0.00001767516,0.0003280465],"study_design_scores_gemma":[0.00002780702,0.000162399,0.1209785,0.00001322883,0.00003354893,0.0002285441,0.0004042074,0.0009494718,0.8727931,0.0002048746,0.004181584,0.00002285209],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9958332,0.0007066095,0.001298849,0.0001033731,0.00002121137,0.00001550462,0.0006607627,0.00004810008,0.001312335],"genre_scores_gemma":[0.9931527,0.0002000037,0.0006129478,0.0001566239,0.00001206432,0.00003429462,0.001133062,0.00003516895,0.004663017],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002310263,"threshold_uncertainty_score":0.00531882,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02375422353545479,"score_gpt":0.2096308817554521,"score_spread":0.1858766582199973,"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."}}