{"id":"W2764281019","doi":"10.24870/cjb.2017-a180","title":"Identification of Groundnut miRNA and their targets","year":2017,"lang":"en","type":"article","venue":"Canadian Journal of Biotechnology","topic":"Peanut Plant Research Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Identification (biology); microRNA; Biology; Computational biology; Genetics; Ecology; Gene","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002957393,0.00005326845,0.0001437416,0.00005220507,0.000318177,0.00004817782,0.0004317998,0.0001068369,0.0000193026],"category_scores_gemma":[0.0003934061,0.00001977129,0.00003470192,0.00004953066,0.000472207,0.00009817208,0.00003949776,0.0001377319,4.73936e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002158879,"about_ca_system_score_gemma":0.00003850081,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003795601,"about_ca_topic_score_gemma":0.05480244,"domain_scores_codex":[0.9995093,0.00001930309,0.0001793509,0.00007393459,0.00005162643,0.0001664779],"domain_scores_gemma":[0.9993963,0.00004435659,0.0002897175,0.00006581968,0.00008650539,0.0001172914],"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":[0.000006405062,0.000006832736,0.01049698,0.000005338337,0.00002948916,0.00002990407,0.00006205263,7.048748e-8,0.8671044,0.0008742092,0.0007061973,0.1206782],"study_design_scores_gemma":[0.000143914,0.0003368082,0.6558812,0.00003903087,0.000008210847,0.0002308538,0.0006782407,0.00001257905,0.301641,0.005545312,0.03537316,0.0001097046],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9864435,0.001423105,0.000006134914,0.01183598,0.00008497701,0.00003850488,0.00005119022,0.000003173134,0.0001134912],"genre_scores_gemma":[0.9994226,0.0004641246,0.00001625985,0.00001647749,0.00003893974,4.45991e-7,0.000002710076,1.448941e-7,0.00003829255],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6453842,"threshold_uncertainty_score":0.962445,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02074152568525197,"score_gpt":0.2263999432666796,"score_spread":0.2056584175814276,"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."}}