{"id":"W2952723766","doi":"10.1186/s12864-019-5799-6","title":"MicroRNA-guided regulation of heat stress response in wheat","year":2019,"lang":"en","type":"article","venue":"BMC Genomics","topic":"Plant Molecular Biology Research","field":"Agricultural and Biological Sciences","cited_by":127,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba; University of Lethbridge; Agriculture and Agri-Food Canada","funders":"National Research Council Canada","keywords":"Heat stress; Biology; microRNA; Fight-or-flight response; Proteomics; DNA microarray; Computational biology; Heat shock; Genetics; Heat shock protein; Bioinformatics; Gene expression; Gene","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":[],"consensus_categories":[],"category_scores_codex":[0.000411284,0.00006654338,0.0001281041,0.00002174396,0.00002061713,0.000009612836,0.0001887211,0.0001006033,0.0001093806],"category_scores_gemma":[0.000053538,0.00002900438,0.00004236059,0.0001444542,0.00003232218,0.00002564814,0.00007261978,0.00006754309,0.00006640561],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004209644,"about_ca_system_score_gemma":0.00003232246,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001776254,"about_ca_topic_score_gemma":0.001079464,"domain_scores_codex":[0.9991667,0.0002127075,0.0001727706,0.0001833535,0.0000838703,0.0001806045],"domain_scores_gemma":[0.999621,0.0002095563,0.00003218462,0.00007135342,0.00003255463,0.00003335101],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0004211543,0.0000204894,0.1493648,0.000004919678,0.000001982715,9.823046e-7,0.00002495223,0.0001876478,0.8496677,0.0000228161,0.00004821217,0.0002343339],"study_design_scores_gemma":[0.0001740873,0.0001339921,0.7793111,0.00001274556,0.000001212885,0.00000651987,0.00006827434,0.0003495193,0.2190347,0.00009146655,0.0007448854,0.00007147148],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999064,0.00008232488,0.000002613072,0.0003097858,0.00004157748,0.0002287793,0.00006001874,0.000008234015,0.0002026306],"genre_scores_gemma":[0.9992608,0.00001586318,0.0002282954,0.00003143714,0.00002170203,0.000003126162,0.00007928608,6.595554e-7,0.0003588671],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6306329,"threshold_uncertainty_score":0.1197641,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03292157481013648,"score_gpt":0.2542824770295329,"score_spread":0.2213609022193964,"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."}}