{"id":"W2144882930","doi":"10.1093/nar/gkl851","title":"Pseudogene.org: a comprehensive database and comparison platform for pseudogene annotation","year":2006,"lang":"en","type":"article","venue":"Nucleic Acids Research","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":195,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; University of Toronto","funders":"National Human Genome Research Institute; National Institutes of Health","keywords":"Pseudogene; Annotation; Biology; Set (abstract data type); Genome; Identification (biology); Prokaryote; Computer science; Information retrieval; Object (grammar); Computational biology; Genetics; Artificial intelligence; Gene","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":[0.005193724,0.002050668,0.002428228,0.01295378,0.002727893,0.004159932,0.004592412,0.002223773,0.01992437],"category_scores_gemma":[0.01084927,0.001267578,0.001660608,0.01313494,0.0007900482,0.004389058,0.005155951,0.002602197,0.01832905],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001011609,"about_ca_system_score_gemma":0.004531094,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001968978,"about_ca_topic_score_gemma":0.001874561,"domain_scores_codex":[0.9970233,0.0006575193,0.0005569154,0.0005928776,0.0009366616,0.0002326879],"domain_scores_gemma":[0.9944462,0.001651995,0.0007806319,0.001264337,0.00107766,0.0007791785],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00441491,0.0007332746,0.008941977,0.007657704,0.000686239,0.00191509,0.001565136,0.005846994,0.07534241,0.03909025,0.4932582,0.3605478],"study_design_scores_gemma":[0.0005963399,0.0003668945,0.009967428,0.0006743816,0.0002930625,0.002276718,0.0004450564,0.01127207,0.02968382,0.03444256,0.9095658,0.0004158166],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.02779575,0.006340236,0.4042412,0.001580741,0.001322157,0.001346545,0.3955853,0.1332598,0.02852816],"genre_scores_gemma":[0.02392253,0.00227521,0.3661125,0.0005481655,0.0001765937,0.001529893,0.5909004,0.01011758,0.004417188],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.01992437,"threshold_uncertainty_score":0.06665367,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08440850023274064,"score_gpt":0.3607048139992772,"score_spread":0.2762963137665366,"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."}}