{"id":"W2352942825","doi":"","title":"Research Progresses in the Regulation of miRNAs Biogenesis and Function in Plants","year":2014,"lang":"en","type":"article","venue":"Zhiwu yanjiu","topic":"Plant Molecular Biology Research","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Science North","funders":"","keywords":"microRNA; Biogenesis; Biology; Function (biology); Computational biology; Gene; Regulation of gene expression; Transcription factor; Abiotic component; Gene silencing; Genetics; 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":[0.0016821,0.00004696867,0.00008179331,0.00004746337,0.00005955309,0.00001761271,0.000156508,0.00008052459,0.00002261046],"category_scores_gemma":[0.0001244085,0.00001535314,0.00001293879,0.0004070718,0.0001115797,0.00003523584,0.00004870819,0.0001106394,0.000007580896],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007061255,"about_ca_system_score_gemma":0.000004771652,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005415909,"about_ca_topic_score_gemma":0.002907626,"domain_scores_codex":[0.9987313,0.0005866354,0.0001160933,0.0001604748,0.0002135722,0.0001919497],"domain_scores_gemma":[0.9994127,0.0004604952,0.00002561063,0.00004703089,0.00003422139,0.00002001161],"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":[0.00009241881,0.00005797916,0.3056466,0.000007539467,0.000002391423,0.00000200266,0.00007062512,0.000001550614,0.6282007,0.0003658138,0.0001716894,0.06538063],"study_design_scores_gemma":[0.00009191223,0.0002145413,0.9887015,0.00001970942,7.733015e-7,0.000005772368,0.0001895456,0.00008243105,0.006984408,0.0009454861,0.002728233,0.00003573832],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980312,0.0002217886,7.022401e-7,0.001013846,0.00001418273,0.0001867556,0.000008616619,0.000005028211,0.000517884],"genre_scores_gemma":[0.9997749,0.00006206292,0.00001171224,0.00002902481,0.00003567412,0.0000165204,0.00004067675,3.634892e-7,0.00002907053],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6830548,"threshold_uncertainty_score":0.1622524,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05945317248624,"score_gpt":0.3017286726511955,"score_spread":0.2422755001649555,"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."}}