{"id":"W2128525869","doi":"10.1261/rna.1149408","title":"Evolution of <i>Arabidopsis thaliana</i> microRNAs from random sequences","year":2008,"lang":"en","type":"article","venue":"RNA","topic":"Plant Molecular Biology Research","field":"Agricultural and Biological Sciences","cited_by":136,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Leibniz-Gemeinschaft; Alzheimer Society Research Program; Deutsche Forschungsgemeinschaft; Max-Planck-Gesellschaft; Deutscher Akademischer Austauschdienst; Gottfried Wilhelm Leibniz Universität Hannover; U.S. Department of Energy","keywords":"Biology; Arabidopsis thaliana; Computational biology; Arabidopsis; microRNA; Genetics; Evolutionary biology; Gene","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":[0.0003537447,0.0001877768,0.0001510176,0.0002261205,0.0002419852,0.0005259129,0.000281364,0.0003278746,0.0005763887],"category_scores_gemma":[0.0005400559,0.0002236615,0.000218698,0.000136033,0.0002591289,0.0004341061,0.0002659117,0.0003673357,0.0004539694],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005280134,"about_ca_system_score_gemma":0.0002285958,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003490064,"about_ca_topic_score_gemma":0.0006573009,"domain_scores_codex":[0.9998623,0.00001899685,0.000009191535,0.00005911887,0.00003168376,0.00001864069],"domain_scores_gemma":[0.9997688,0.00005616484,0.00007822915,0.00003625697,0.00002621488,0.00003436266],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001001882,0.00001496204,0.004256162,0.00005013164,0.00001662922,0.0002530169,0.00008480706,0.0009623661,0.9792619,0.003128148,0.0001287021,0.01174307],"study_design_scores_gemma":[0.00010209,0.0009162292,0.1000524,0.00008816775,0.000189387,0.007473364,0.0003619619,0.02446669,0.8102728,0.01219996,0.0437595,0.0001173683],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9845345,0.0008494261,0.01072748,0.0001354207,0.00002265466,0.0000171808,0.00009458481,0.0001802713,0.003438409],"genre_scores_gemma":[0.9880541,0.0004178601,0.009519981,0.00019206,0.00001320571,0.00001809529,0.0002184626,0.0000601813,0.001505991],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0005763887,"threshold_uncertainty_score":0.003830969,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02389461988744216,"score_gpt":0.2234542639313967,"score_spread":0.1995596440439545,"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."}}