{"id":"W2160097598","doi":"10.1104/pp.114.245027","title":"Automated Update, Revision, and Quality Control of the Maize Genome Annotations Using MAKER-P Improves the B73 RefGen_v3 Gene Models and Identifies New Genes ","year":2014,"lang":"en","type":"article","venue":"PLANT PHYSIOLOGY","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":51,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Institute for Cancer Research","funders":"","keywords":"Annotation; Pseudogene; Genome; Gene; Computational biology; Biology; Gene Annotation; Genome project; Genetics","routes":{"ca_aff":true,"ca_fund":false,"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":[0.008600772,0.001785323,0.001370153,0.00274748,0.002343032,0.003034528,0.002701289,0.00106631,0.00366138],"category_scores_gemma":[0.01948575,0.001375307,0.002245926,0.002511281,0.0008939212,0.00281647,0.003343166,0.002833462,0.004224001],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001407846,"about_ca_system_score_gemma":0.002680089,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005155131,"about_ca_topic_score_gemma":0.009706721,"domain_scores_codex":[0.9948914,0.001093601,0.0003700558,0.001583389,0.0017885,0.0002730249],"domain_scores_gemma":[0.9887148,0.003444318,0.00150134,0.003608566,0.002351877,0.000379162],"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":[0.003755986,0.0003835672,0.02841023,0.001468478,0.0006342024,0.001489094,0.003217885,0.01568531,0.4658887,0.005853774,0.04883611,0.4243766],"study_design_scores_gemma":[0.0004118797,0.0005725679,0.03151708,0.0003274585,0.0005837053,0.001322817,0.0008576545,0.09824407,0.6351253,0.01022645,0.2200192,0.000791866],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2213705,0.001541716,0.64092,0.001550803,0.0005807757,0.0007858293,0.02964758,0.09792088,0.005681887],"genre_scores_gemma":[0.1954135,0.0006941086,0.7330222,0.0005140447,0.0001324802,0.0003836117,0.05330823,0.0128625,0.003669393],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008600772,"threshold_uncertainty_score":0.04548579,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02184141052134154,"score_gpt":0.2588699961037346,"score_spread":0.237028585582393,"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."}}