{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003155293,0.002624312,0.001394583,0.001647672,0.0007952391,0.002046533,0.002529299,0.001194678,0.02271212],"category_scores_gemma":[0.005975615,0.0006241061,0.001319788,0.00249912,0.0008039391,0.001774992,0.001796651,0.001387759,0.01319409],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005123011,"about_ca_system_score_gemma":0.0006885969,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009401741,"about_ca_topic_score_gemma":0.001252374,"domain_scores_codex":[0.9977751,0.0004462855,0.0001519642,0.0006428881,0.000805205,0.0001783758],"domain_scores_gemma":[0.996723,0.001474906,0.0002478799,0.0006116881,0.0007527201,0.000189822],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.005110218,0.0005519422,0.01766946,0.003437296,0.0004863922,0.002113464,0.0004648484,0.01196103,0.2895086,0.004495448,0.1480293,0.5161721],"study_design_scores_gemma":[0.0005937414,0.0008263578,0.01500071,0.0004472054,0.0004561367,0.001428067,0.0001994062,0.214612,0.6032466,0.008854249,0.1539818,0.0003539085],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.09025782,0.004516709,0.6027375,0.00226011,0.001786994,0.0004068505,0.02064656,0.2666749,0.01071243],"genre_scores_gemma":[0.2622645,0.001772287,0.6448259,0.001072511,0.000659899,0.0006303274,0.04982045,0.03033504,0.00861905],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02271212,"threshold_uncertainty_score":0.07597959,"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."}}