{"id":"W2116672276","doi":"10.1186/gb-2007-8-6-r96","title":"Cloning and characterization of microRNAs from wheat (Triticum aestivum L.)","year":2007,"lang":"en","type":"article","venue":"Genome biology","topic":"Plant Molecular Biology Research","field":"Agricultural and Biological Sciences","cited_by":397,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Key Research and Development Program of China; Institute of Genetics; National Natural Science Foundation of China","keywords":"Biology; Cloning (programming); Human genetics; microRNA; Computational biology; Plant genetics; Genetics; Genome Biology; Botany; Genome; Gene; Genomics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.0003810588,0.0007674609,0.000640302,0.0006716442,0.0003104444,0.0004770278,0.0002574881,0.0004283407,0.001357216],"category_scores_gemma":[0.0003861784,0.0003223249,0.0009743859,0.0004630589,0.000189992,0.0002871693,0.0003238169,0.0006365775,0.00158151],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003264401,"about_ca_system_score_gemma":0.0004182427,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005080753,"about_ca_topic_score_gemma":0.0009794898,"domain_scores_codex":[0.9996972,0.00003084528,0.00005142276,0.0000924461,0.00007877092,0.00004937403],"domain_scores_gemma":[0.9997568,0.00005323966,0.00005917094,0.00002241275,0.00006232449,0.00004611882],"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":[0.00009722382,0.0000330439,0.0005322015,0.000126633,0.00001341747,0.0001693878,0.0000458229,0.00007225074,0.9942062,0.00009280338,0.0001007511,0.004510289],"study_design_scores_gemma":[0.0001695419,0.001788711,0.03900686,0.00008698436,0.0003760763,0.003217151,0.0002045524,0.002818624,0.9106396,0.0003556154,0.04129097,0.00004534587],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9401721,0.008149902,0.03753024,0.0004434026,0.000269405,0.0007479328,0.006341862,0.0002805417,0.006064554],"genre_scores_gemma":[0.8718604,0.005398017,0.07142811,0.0005263057,0.0001498678,0.000635765,0.03881245,0.0002298944,0.01095915],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001357216,"threshold_uncertainty_score":0.004540384,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01647390319271179,"score_gpt":0.2360874378578721,"score_spread":0.2196135346651604,"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."}}