{"id":"W2807879866","doi":"10.1038/s41598-018-27088-8","title":"Transcriptome analysis of microRNA156 overexpression alfalfa roots under drought stress","year":2018,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Plant Molecular Biology Research","field":"Agricultural and Biological Sciences","cited_by":72,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"Agriculture and Agri-Food Canada; Natural Sciences and Engineering Research Council of Canada","keywords":"Gene; Transcriptome; Biology; Drought stress; Drought tolerance; Downregulation and upregulation; Abiotic component; RNA-Seq; Genotype; Abiotic stress; Gene expression; Phenotype; Genetics; Botany","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008738395,0.0001308023,0.000277205,0.0001114398,0.0003140083,0.0001060869,0.0003133063,0.0001323768,0.001019664],"category_scores_gemma":[0.00006060087,0.00005111562,0.0002302666,0.002008129,0.0005784314,0.00009990528,0.0001022507,0.00009656665,0.00002132259],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001905594,"about_ca_system_score_gemma":0.00002431574,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001905318,"about_ca_topic_score_gemma":0.0009820992,"domain_scores_codex":[0.9978164,0.0001246914,0.0004059714,0.000727377,0.0005400451,0.0003855162],"domain_scores_gemma":[0.9990595,0.00006282835,0.000221379,0.0002697393,0.0002560903,0.0001304574],"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":[0.00001569002,0.0000819706,0.03112605,0.000002872474,0.0001242667,0.0000384331,0.00004720136,0.00000907821,0.9658968,0.00002189623,0.001877043,0.0007587146],"study_design_scores_gemma":[0.00005231001,0.0001040364,0.2110815,0.00003713286,0.0001202623,0.00003624583,0.00009491815,0.0000959511,0.7720456,0.0008677256,0.01528577,0.0001785781],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976979,0.0001197383,0.00002587243,0.0001949008,0.0007526454,0.0001510316,0.00008611932,0.00003088913,0.0009408965],"genre_scores_gemma":[0.9975901,0.000004234156,0.00005531743,0.00003505796,0.00007116914,0.000005362926,0.0005364038,9.084343e-7,0.001701394],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1938512,"threshold_uncertainty_score":0.9998935,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0213481227704816,"score_gpt":0.264980910879667,"score_spread":0.2436327881091854,"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."}}