{"id":"W2145258109","doi":"10.1093/bioinformatics/btg134","title":"Genescript: DNA sequence annotation pipeline","year":2003,"lang":"en","type":"article","venue":"Bioinformatics","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hospital for Sick Children","funders":"","keywords":"Annotation; Pipeline (software); Computer science; Sequence (biology); Download; DNA sequencing; Computational biology; DNA; Sequence analysis; Information retrieval; Data mining; Artificial intelligence; World Wide Web; Genetics; Programming language; 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":[0.0001323973,0.0001144078,0.00008823645,0.00002467199,0.00008200054,0.00002143094,0.0000960945,0.00006983484,0.000009428963],"category_scores_gemma":[0.00008353969,0.0001053617,0.00004681781,0.00006453854,0.00004460388,0.00000139566,0.00003544128,0.00003148589,0.00003735135],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008771324,"about_ca_system_score_gemma":0.0000547109,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002494417,"about_ca_topic_score_gemma":0.000005619257,"domain_scores_codex":[0.9993855,0.0000164295,0.0002290062,0.0001052097,0.00008543836,0.0001784232],"domain_scores_gemma":[0.9995519,0.000004704529,0.00007701697,0.0002300261,0.00008482176,0.00005151658],"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":[0.00002489011,0.00006292245,0.004495788,0.00008053688,0.00007741228,0.000001898833,0.0007079695,0.0004020987,0.9606608,0.003076384,0.01545934,0.01494995],"study_design_scores_gemma":[0.0007784361,0.0002497228,0.002302575,0.00001119427,0.00003266523,0.00005297476,0.0007372288,0.002689681,0.3584629,0.000555887,0.633621,0.0005057409],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9630684,0.001034576,0.01416477,0.00007939039,0.0004485476,0.0002241755,0.00004804391,0.000009739595,0.02092239],"genre_scores_gemma":[0.9771232,0.0004024279,0.02100314,0.0005394592,0.00008956229,0.0000111375,0.00006140539,0.00001236192,0.000757313],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6181617,"threshold_uncertainty_score":0.4296523,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02262540254817869,"score_gpt":0.2445024536555715,"score_spread":0.2218770511073928,"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."}}