{"id":"W1980492094","doi":"10.1139/g08-025","title":"Data mining for miRNAs and their targets in the Triticeae","year":2008,"lang":"en","type":"article","venue":"Genome","topic":"Plant Disease Resistance and Genetics","field":"Agricultural and Biological Sciences","cited_by":56,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Triticeae; Biology; Hordeum vulgare; microRNA; Genetics; Gene; Computational biology; DNA sequencing; Hordeum; Genome; Botany; Poaceae","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001995486,0.000514542,0.001423403,0.005519469,0.0007169802,0.001653728,0.0009155798,0.0009829603,0.001121224],"category_scores_gemma":[0.01010334,0.0002999422,0.001305279,0.00645992,0.0003442391,0.001110523,0.0008346802,0.0007676793,0.0007142826],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004671189,"about_ca_system_score_gemma":0.001233176,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002212928,"about_ca_topic_score_gemma":0.002536158,"domain_scores_codex":[0.9977374,0.0002511942,0.0005381316,0.0007898263,0.0005530341,0.0001304173],"domain_scores_gemma":[0.9927003,0.004575086,0.001058192,0.0006512015,0.0007571488,0.0002581709],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.003094183,0.001169085,0.359329,0.007471193,0.001873436,0.008790906,0.002421243,0.01869616,0.1478953,0.003884054,0.01773669,0.4276388],"study_design_scores_gemma":[0.0004744501,0.001593969,0.562798,0.001359962,0.001682531,0.01561813,0.004730149,0.1483606,0.1113618,0.01651024,0.1351567,0.0003535],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8612186,0.004716048,0.04170938,0.001042063,0.00006607916,0.0004117206,0.08587519,0.001713269,0.003247589],"genre_scores_gemma":[0.7107438,0.002140536,0.09269754,0.0003018131,0.00005516811,0.001005909,0.1914418,0.0001899625,0.00142348],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005519469,"threshold_uncertainty_score":0.0105533,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0816182231002048,"score_gpt":0.2408871368789258,"score_spread":0.159268913778721,"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."}}