{"id":"W2152089378","doi":"10.1093/bioinformatics/18.10.1398","title":"Genquire: genome annotation browser/editor","year":2002,"lang":"en","type":"article","venue":"Bioinformatics","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada; Plant Biotechnology Institute","funders":"Genomic Health","keywords":"Perl; Annotation; Computer science; Software; Markup language; World Wide Web; Visualization; Gene Annotation; Plug-in; Download; Genome; Programming language; Information retrieval; XML; Biology; Data mining; Artificial intelligence; Gene; Genetics","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":[0.00006902268,0.0001279997,0.00009984501,0.00003079981,0.0001007215,0.00002895609,0.0001444373,0.00009246033,0.00004218482],"category_scores_gemma":[0.00003194475,0.0001204191,0.00006181102,0.00006335437,0.00005319656,0.000001878132,0.00008281946,0.0000390705,0.000165495],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000100091,"about_ca_system_score_gemma":0.00001119506,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001940422,"about_ca_topic_score_gemma":0.000002370376,"domain_scores_codex":[0.9993179,0.000009484007,0.0002416495,0.000115489,0.0001094314,0.0002060685],"domain_scores_gemma":[0.9995156,0.000005740095,0.00008748323,0.0002583296,0.00006893063,0.00006391676],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005856542,0.0002520609,0.004353076,0.0002407941,0.0004191268,0.000004068493,0.004155917,0.0008285678,0.6922652,0.000476609,0.2585529,0.03839314],"study_design_scores_gemma":[0.0006752172,0.0003686638,0.009573692,0.0000062936,0.00002902537,0.00001803434,0.0003678261,0.005506881,0.009131198,0.00006421255,0.9738141,0.0004448049],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9758852,0.002754153,0.003114508,0.00024262,0.001798939,0.00037555,0.000089045,0.00001981386,0.01572022],"genre_scores_gemma":[0.9831535,0.00122344,0.01075122,0.0006668021,0.002564457,0.00002593075,0.00009836354,0.00002408423,0.001492268],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7152612,"threshold_uncertainty_score":0.4910548,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01421209230779296,"score_gpt":0.2132389137570983,"score_spread":0.1990268214493054,"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."}}