{"id":"W2946432709","doi":"10.1139/cjps-2018-0296","title":"Genome-wide computational prediction and experimental validation of quinoa (<i>Chenopodium quinoa</i>) microRNAs","year":2019,"lang":"en","type":"article","venue":"Canadian Journal of Plant Science","topic":"Seed and Plant Biochemistry","field":"Agricultural and Biological Sciences","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Chenopodium quinoa; Biology; MYB; microRNA; In silico; Genetics; Computational biology; Gene; Genome; Abiotic stress; WRKY protein domain; Gene silencing; Transcription factor; Transcriptome; Botany; Gene expression","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":[0.0003286745,0.00006517166,0.0001029646,0.00004500593,0.0001291824,0.00005714281,0.0002135806,0.00003846667,0.0001474169],"category_scores_gemma":[0.00003017499,0.00003159295,0.00002811034,0.0001860453,0.0001727963,0.000199005,0.00001179592,0.00007517418,0.000004218937],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005027795,"about_ca_system_score_gemma":0.0002079254,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000730391,"about_ca_topic_score_gemma":0.0002951834,"domain_scores_codex":[0.9992658,0.00001464337,0.0002053817,0.0001243527,0.0002223291,0.000167436],"domain_scores_gemma":[0.9993482,0.00007292513,0.0001704143,0.00002386536,0.0001057587,0.0002788051],"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":[0.00001143817,0.000007534551,0.0925335,0.000003780865,0.000003242298,0.000005043433,0.0001706459,0.0001558754,0.9068998,0.00001634069,0.0001006068,0.00009221464],"study_design_scores_gemma":[0.0001954775,0.0002763315,0.5553025,0.00005549411,0.000007110992,0.0003785635,0.0008998836,0.0001163548,0.4406637,0.0000992291,0.001887973,0.0001174055],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986501,0.0002627658,0.000002809498,0.0001421022,0.0002137252,0.0000544208,0.0003707206,0.000002380915,0.0003009312],"genre_scores_gemma":[0.9996621,0.000006111323,0.00009093446,0.00006955506,0.00008131543,2.193775e-7,0.00005746326,3.708579e-7,0.00003191075],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4662361,"threshold_uncertainty_score":0.1614112,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009036354649515072,"score_gpt":0.1805398919626226,"score_spread":0.1715035373131075,"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."}}