{"id":"W2104040212","doi":"10.1093/bioinformatics/btg139","title":"GeneComber: combining outputs of gene prediction programs for improved results","year":2003,"lang":"en","type":"article","venue":"Bioinformatics","topic":"Bioinformatics and Genomic Networks","field":"Biochemistry, Genetics and Molecular Biology","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; University of British Columbia Hospital","funders":"","keywords":"Computer science; Interface (matter); Perl; Software; Frame (networking); User interface; Relational database management system; Web application; Database; Information retrieval; Relational database; Data mining; Interoperability; Application programming interface; Programming language; World Wide Web; Operating system","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004820156,0.0001732014,0.0002023592,0.00004476293,0.00008494517,0.00003111382,0.0001613562,0.000216581,0.000001822285],"category_scores_gemma":[0.0001052377,0.000160162,0.0001342714,0.00008542251,0.00006304511,0.00001119243,0.00004052182,0.00006791808,0.000003642386],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001421689,"about_ca_system_score_gemma":0.00009472897,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002220018,"about_ca_topic_score_gemma":0.000004650893,"domain_scores_codex":[0.9986758,0.00001549041,0.0007760318,0.0001350164,0.00009372863,0.0003038924],"domain_scores_gemma":[0.9989499,0.00001617334,0.0003827807,0.0003994018,0.0001615033,0.00009022762],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002888024,0.001669669,0.003337261,0.002687449,0.00209888,0.000001391264,0.007204034,0.002851044,0.3164195,0.02102531,0.1129984,0.526819],"study_design_scores_gemma":[0.01096638,0.003525181,0.0003413992,0.0001137092,0.0001698092,0.00006591217,0.001225305,0.1424931,0.2478314,0.001199422,0.5910401,0.001028224],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1206157,0.001173496,0.8373688,0.0001566702,0.002139441,0.003742083,0.00124316,0.0001127573,0.03344786],"genre_scores_gemma":[0.6903929,0.0002079657,0.3053672,0.0002980944,0.0002160175,0.00009666361,0.002610808,0.0000469116,0.0007633824],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.5697772,"threshold_uncertainty_score":0.6531218,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01380603133128338,"score_gpt":0.2277017750003967,"score_spread":0.2138957436691133,"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."}}