{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008657005,0.001002547,0.0009052468,0.0007457929,0.0004409424,0.0007456811,0.0006438967,0.0005177349,0.0008791123],"category_scores_gemma":[0.001351624,0.0003250393,0.001849863,0.0006448421,0.0003030491,0.0002571488,0.0002872674,0.0003793853,0.0003789428],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004485723,"about_ca_system_score_gemma":0.000947876,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006040229,"about_ca_topic_score_gemma":0.007634048,"domain_scores_codex":[0.9995832,0.00009233582,0.00002620959,0.0002132627,0.00004776388,0.00003721838],"domain_scores_gemma":[0.9993733,0.0004135631,0.00005451736,0.00004635379,0.00008562826,0.00002666097],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.005483515,0.001448963,0.1260963,0.003936897,0.003509357,0.00238783,0.0002690103,0.5300844,0.236018,0.002297594,0.01004204,0.07842617],"study_design_scores_gemma":[0.0002131823,0.0004640192,0.02738382,0.00003195434,0.0008086977,0.0002748657,0.00008586989,0.9344071,0.03259856,0.0006092994,0.003083921,0.00003879543],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9502952,0.0009938574,0.03403053,0.0001747213,0.00005447923,0.000123687,0.01009492,0.002712795,0.001519818],"genre_scores_gemma":[0.9075992,0.0004295226,0.04250692,0.0001737191,0.00002146765,0.0001916203,0.04816971,0.0002355478,0.000672351],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006040229,"threshold_uncertainty_score":0.0120101,"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."}}