{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001397282,0.000181532,0.0001575164,0.00006533188,0.0001187912,0.00002157876,0.0002563313,0.0001116191,0.00001044409],"category_scores_gemma":[0.00002407389,0.0001685088,0.0000781839,0.00009203702,0.00007304321,0.00000244394,0.0003409591,0.00005651724,0.00003758618],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001688071,"about_ca_system_score_gemma":0.00007338967,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004262737,"about_ca_topic_score_gemma":0.00001675315,"domain_scores_codex":[0.9990633,0.00001562105,0.0002801452,0.0001727289,0.0001162095,0.0003520492],"domain_scores_gemma":[0.9993039,0.000005228064,0.00007165746,0.0003748531,0.0001016396,0.0001426625],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001885699,0.0001837009,0.002828072,0.0001071001,0.0004137896,0.000009488333,0.007065039,0.009176714,0.9663984,0.0005115722,0.003009199,0.01010831],"study_design_scores_gemma":[0.0008899849,0.001242909,0.003242181,0.00003526893,0.00009233897,0.0001621589,0.00158731,0.03140928,0.9469004,0.001283969,0.01203225,0.001121971],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9503835,0.0004285865,0.04372895,0.00001760768,0.0001523761,0.0002393941,0.00005561149,0.000008379256,0.004985593],"genre_scores_gemma":[0.8110896,0.0001967017,0.1880386,0.0003607365,0.0001207567,0.00001199642,0.00001473092,0.00002300398,0.0001438373],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1443096,"threshold_uncertainty_score":0.687159,"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."}}