{"id":"W4225137042","doi":"10.1093/g3journal/jkac101","title":"Genome annotation of <i>Caenorhabditis briggsae</i> by TEC-RED identifies new exons, paralogs, and conserved and novel operons","year":2022,"lang":"en","type":"article","venue":"G3 Genes Genomes Genetics","topic":"Genetics, Aging, and Longevity in Model Organisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada; Blaustein Philanthropic Group; National Human Genome Research Institute; Howard Hughes Medical Institute","keywords":"Biology; Caenorhabditis elegans; Genome; Annotation; Genetics; Caenorhabditis; Evolutionary biology; TEC; Exon; Computational biology; Gene","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001519458,0.0004548481,0.000339252,0.0007000707,0.0002850308,0.0003408153,0.0001986951,0.0002702157,0.001063931],"category_scores_gemma":[0.000258993,0.0001656739,0.0005705433,0.0004505893,0.0001263175,0.0001477826,0.0002002003,0.0003938678,0.0005319673],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003345059,"about_ca_system_score_gemma":0.0004194437,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003264444,"about_ca_topic_score_gemma":0.005746943,"domain_scores_codex":[0.9998739,0.00001047069,0.000008545879,0.00004452639,0.00003658082,0.00002590107],"domain_scores_gemma":[0.9998908,0.00002274927,0.00003477739,0.00001215332,0.00002175924,0.00001768214],"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":[0.0002106744,0.0000350785,0.005420248,0.0001598704,0.00002087537,0.0001790015,0.00006625291,0.0003134343,0.9852432,0.0001285831,0.0004080987,0.007814672],"study_design_scores_gemma":[0.00005436565,0.000334307,0.4318838,0.0001792634,0.0002401151,0.001840227,0.000321109,0.01037799,0.5295335,0.0002941242,0.02486466,0.00007644328],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9816187,0.001287334,0.00765901,0.00006568678,0.00001974217,0.0000440916,0.007605592,0.000419304,0.001280407],"genre_scores_gemma":[0.9198489,0.001298231,0.04110705,0.0001105401,0.0000130086,0.00007907427,0.03372701,0.0001782039,0.003637859],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003264444,"threshold_uncertainty_score":0.006490886,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01148459998385855,"score_gpt":0.2148593979477146,"score_spread":0.203374797963856,"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."}}