{"id":"W3088837411","doi":"10.1016/j.fgb.2020.103471","title":"Characterization of microRNA-like RNAs associated with sclerotial development in Sclerotinia sclerotiorum","year":2020,"lang":"en","type":"article","venue":"Fungal Genetics and Biology","topic":"Plant pathogens and resistance mechanisms","field":"Agricultural and Biological Sciences","cited_by":27,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"Department of Science and Technology of Liaoning Province; Shenyang Agricultural University; Department of Education of Liaoning Province","keywords":"Sclerotinia sclerotiorum; Biology; microRNA; Epigenetics; Gene; KEGG; Computational biology; Genetics; Gene expression; Botany; Transcriptome","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":[0.00009926486,0.0001080856,0.0001873751,0.00001109,0.00006288559,0.00001226928,0.00009493506,0.0001112305,0.00004131947],"category_scores_gemma":[0.000009431315,0.00004411923,0.00001860177,0.0001801383,0.0000513959,0.00001543404,0.00005175593,0.0000675263,0.000002192058],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007112419,"about_ca_system_score_gemma":0.00001303757,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006500067,"about_ca_topic_score_gemma":0.0004494665,"domain_scores_codex":[0.9992561,0.00004826849,0.000211753,0.0002253428,0.0000588646,0.0001996246],"domain_scores_gemma":[0.9997314,0.00002199916,0.0001130374,0.00002028956,0.0000431949,0.00007003184],"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":[0.00004702377,0.00003435513,0.06758963,0.00000416684,0.000009534408,0.000001774415,0.00005845192,0.000001042667,0.925114,0.00004235213,0.000003458695,0.007094168],"study_design_scores_gemma":[0.0002663511,0.000479746,0.8638805,0.00003922249,0.000005494075,0.000001930964,0.00002878199,0.0000663406,0.1323193,0.00001410694,0.002764227,0.0001340875],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991461,0.00007719999,0.00003735602,0.0003493409,0.00005381468,0.0001685367,0.000130421,0.00001263278,0.00002459025],"genre_scores_gemma":[0.9991605,0.0001099211,0.0001914317,0.0002473768,0.00005622538,0.000008790976,0.0002097925,0.000001097426,0.00001483162],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7962908,"threshold_uncertainty_score":0.179913,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03363747198358977,"score_gpt":0.1957661322079477,"score_spread":0.1621286602243579,"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."}}