{"id":"W2501485799","doi":"10.1093/gbe/evw148","title":"Localized Retroprocessing as a Model of Intron Loss in the Plant Mitochondrial Genome","year":2016,"lang":"en","type":"article","venue":"Genome Biology and Evolution","topic":"RNA and protein synthesis mechanisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Natur og Univers, Det Frie Forskningsråd; Danmarks Frie Forskningsfond; National Science Foundation","keywords":"Intron; Biology; Group II intron; Genome; Mitochondrial DNA; Gene; Genetics; RNA; RNA splicing","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"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":[0.0004598605,0.0003212974,0.0002501057,0.0006542993,0.0002073611,0.0003726571,0.0005202767,0.0003906402,0.0007604724],"category_scores_gemma":[0.0007377919,0.0001865599,0.0004452356,0.0004844617,0.0004549567,0.0006307473,0.0003084483,0.0004381172,0.0003185913],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002488165,"about_ca_system_score_gemma":0.0001174295,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001775535,"about_ca_topic_score_gemma":0.0001950456,"domain_scores_codex":[0.9997546,0.00005347575,0.00002145074,0.00009193776,0.00005255665,0.0000259624],"domain_scores_gemma":[0.9992256,0.0002616896,0.0003018053,0.0001380553,0.00004101829,0.00003178433],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0005005926,0.00006107162,0.0435028,0.0001239161,0.00008188184,0.001618353,0.0002422775,0.004597941,0.9347385,0.003088715,0.00006598858,0.01137793],"study_design_scores_gemma":[0.0000786083,0.001512667,0.2208845,0.00008180606,0.0003292261,0.01704826,0.0004584598,0.08569925,0.6546984,0.0141814,0.00495514,0.00007230412],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9676518,0.0008533142,0.03045172,0.0000478572,0.000007351132,0.00001844553,0.00007316627,0.0001230044,0.0007732738],"genre_scores_gemma":[0.9948391,0.0001521434,0.00457854,0.00002709324,0.000005384797,0.00001053964,0.0001360818,0.00001718625,0.0002340175],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007604724,"threshold_uncertainty_score":0.002543986,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01187242015162095,"score_gpt":0.2307690602244717,"score_spread":0.2188966400728507,"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."}}