{"id":"W1993204833","doi":"10.1093/bioinformatics/btr342","title":"genBlastG: using BLAST searches to build homologous gene models","year":2011,"lang":"en","type":"article","venue":"Bioinformatics","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":121,"is_retracted":false,"has_abstract":true,"ca_institutions":"Michael Smith Health Research BC; Simon Fraser University; University of British Columbia; BC Cancer Agency","funders":"","keywords":"Homologous chromosome; Computer science; Computational biology; Homologous recombination; Gene; Genetics; Biology","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":[0.00322268,0.003776956,0.003119102,0.004135869,0.001906588,0.002719128,0.003671736,0.002031149,0.01813238],"category_scores_gemma":[0.006065586,0.001770219,0.001289707,0.005208977,0.0008242771,0.002603104,0.002520337,0.002929621,0.02402093],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007993006,"about_ca_system_score_gemma":0.001307362,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009496133,"about_ca_topic_score_gemma":0.00107092,"domain_scores_codex":[0.9985435,0.000455018,0.0001407283,0.0004334937,0.0003252772,0.0001020157],"domain_scores_gemma":[0.9989753,0.0004813969,0.0001220323,0.0001860037,0.0001342607,0.0001010806],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.005575092,0.0005430016,0.007489875,0.009466103,0.0009107235,0.002067605,0.0009943687,0.01016644,0.1678011,0.01558094,0.5313929,0.2480118],"study_design_scores_gemma":[0.002565395,0.00119673,0.01018633,0.001342665,0.0008184071,0.007491209,0.0007129752,0.128378,0.1824563,0.05371794,0.6105329,0.0006012328],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.05595526,0.007643547,0.5519604,0.002397483,0.0008565711,0.001597184,0.1092973,0.2504403,0.01985182],"genre_scores_gemma":[0.04484365,0.003709867,0.7820605,0.0004766136,0.0001179673,0.001303185,0.1451159,0.01928747,0.003084843],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01813238,"threshold_uncertainty_score":0.06065887,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0691356794700421,"score_gpt":0.2522758472029456,"score_spread":0.1831401677329035,"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."}}