{"id":"W3162735376","doi":"10.3389/fgene.2021.654146","title":"MicroRNAs Involved in Regulatory Cytoplasmic Male Sterility by Analysis RNA-seq and Small RNA-seq in Soybean","year":2021,"lang":"en","type":"article","venue":"Frontiers in Genetics","topic":"Plant Molecular Biology Research","field":"Agricultural and Biological Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"People's Government of Jilin Province; National Natural Science Foundation of China","keywords":"Biology; MiRBase; microRNA; RNA-Seq; Small RNA; Meristem; Transcriptome; Gene; Genetics; Computational biology; Cytoplasmic male sterility; Gene expression","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":[0.0002676198,0.0003081659,0.0005203784,0.0003412464,0.0002872775,0.0004205509,0.0001789368,0.0002643936,0.0005487371],"category_scores_gemma":[0.0002400505,0.0002749557,0.0006616829,0.0002678613,0.0001557192,0.0001790111,0.0002587136,0.0003675245,0.0003581601],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003245794,"about_ca_system_score_gemma":0.0003572861,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001827831,"about_ca_topic_score_gemma":0.003538942,"domain_scores_codex":[0.999768,0.00001249989,0.00001956774,0.0001121702,0.00006153413,0.00002633491],"domain_scores_gemma":[0.9998736,0.00002539196,0.00004680573,0.000009114875,0.00002587085,0.00001918834],"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":[0.000217913,0.00001250648,0.003969116,0.0001226572,0.000026999,0.0001230918,0.0000772037,0.0003996233,0.9914743,0.0001300388,0.0002108494,0.003235702],"study_design_scores_gemma":[0.0001737589,0.0004595548,0.3601895,0.00009135238,0.000494943,0.001230615,0.0003826626,0.03615122,0.5771258,0.0006762464,0.02290395,0.0001203372],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9748925,0.002142267,0.01144286,0.0001111381,0.00006678869,0.00007038754,0.008847347,0.000340992,0.002085652],"genre_scores_gemma":[0.9569923,0.0009718558,0.02231456,0.000418408,0.00002389548,0.0001716315,0.01538701,0.0003010389,0.003419292],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001827831,"threshold_uncertainty_score":0.003634393,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01552554410234536,"score_gpt":0.212884141797444,"score_spread":0.1973585976950986,"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."}}