{"id":"W2763825357","doi":"10.24870/cjb.2017-a189","title":"Deciphering the role of a miRNA in rice domestication","year":2017,"lang":"en","type":"article","venue":"Canadian Journal of Biotechnology","topic":"Plant Molecular Biology Research","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Domestication; Biology; microRNA; Computational biology; Genetics; Evolutionary biology; Biotechnology; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002098701,0.0003076292,0.0003703476,0.0002731627,0.00015163,0.0003355807,0.0002094507,0.0003802992,0.000433936],"category_scores_gemma":[0.0001875637,0.000222998,0.0003434355,0.0001756933,0.0002349364,0.0005607295,0.0002563506,0.0003871962,0.0003819826],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002145023,"about_ca_system_score_gemma":0.0002561873,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000395894,"about_ca_topic_score_gemma":0.0004370477,"domain_scores_codex":[0.9999048,0.000009781693,0.00001022303,0.00004413395,0.00001500627,0.00001611244],"domain_scores_gemma":[0.9999093,0.00001744124,0.00002465212,0.00001191286,0.00001750929,0.00001918418],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00006170824,0.000005064027,0.001187407,0.000050897,0.000004592181,0.00008668892,0.00004025474,0.00006890076,0.9955519,0.0001777158,0.00001887143,0.002746004],"study_design_scores_gemma":[0.00002991581,0.0006383538,0.1459488,0.00006245323,0.0001587994,0.001893546,0.0005122312,0.007061193,0.8145205,0.001724309,0.02740515,0.00004487753],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9722401,0.01058904,0.01332044,0.0003561074,0.00005227463,0.00003805143,0.0006178899,0.0001300712,0.002655972],"genre_scores_gemma":[0.9746742,0.003901351,0.01791422,0.0002501601,0.00003019508,0.00003492771,0.0008982072,0.00007004898,0.002226671],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.000433936,"threshold_uncertainty_score":0.001556337,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0136143639166753,"score_gpt":0.2306220749554603,"score_spread":0.217007711038785,"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."}}