{"id":"W7073700607","doi":"","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":2015,"lang":"en","type":"article","venue":"The Mouseion at the JAXlibrary (Jackson Laboratory)","topic":"Glass properties and applications","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Institute for Cancer Research","funders":"","keywords":"Annotation; Pseudogene; Genome; Gene; Gene prediction; Genome project; Gene Annotation; Quality (philosophy)","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":[0.0107108,0.002250951,0.001541989,0.003539544,0.002713594,0.003455236,0.003335436,0.001385568,0.005950508],"category_scores_gemma":[0.02108856,0.001619646,0.00274164,0.003070463,0.0009953831,0.003166515,0.004219088,0.003453661,0.007592028],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001592472,"about_ca_system_score_gemma":0.003034296,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00489013,"about_ca_topic_score_gemma":0.01027451,"domain_scores_codex":[0.9940389,0.001225133,0.00044453,0.001814737,0.002178607,0.0002981208],"domain_scores_gemma":[0.9875393,0.003573672,0.001719752,0.004019066,0.0026869,0.0004613926],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.004019501,0.0003649723,0.02961503,0.002510403,0.0009116023,0.00167392,0.00365685,0.01000679,0.3820852,0.008243828,0.1108316,0.4460803],"study_design_scores_gemma":[0.0004281089,0.0006304035,0.02745737,0.0005725815,0.0007398176,0.001588356,0.0008962672,0.06557132,0.4617119,0.01364183,0.425949,0.0008129245],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1298022,0.003003374,0.652128,0.002111385,0.001140849,0.0009244088,0.04919954,0.152274,0.009416129],"genre_scores_gemma":[0.1470175,0.001124575,0.7241024,0.0008228956,0.0002023863,0.0005092684,0.09881274,0.02262836,0.004779811],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.0107108,"threshold_uncertainty_score":0.05664474,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0425519911457191,"score_gpt":0.2667148887256967,"score_spread":0.2241628975799776,"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."}}