{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003048148,0.003773089,0.002692453,0.00403419,0.001516536,0.002636533,0.004964534,0.001826978,0.1233355],"category_scores_gemma":[0.00524049,0.003185084,0.002695735,0.003299816,0.0006771832,0.002135035,0.001908866,0.004298571,0.1705989],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001246667,"about_ca_system_score_gemma":0.003780579,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002698072,"about_ca_topic_score_gemma":0.003128667,"domain_scores_codex":[0.9986891,0.0002608258,0.0002145285,0.0004121913,0.0002598669,0.0001634854],"domain_scores_gemma":[0.9983577,0.0005336517,0.0002289853,0.0002369423,0.0004313688,0.0002112934],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001950862,0.0001650607,0.0009826705,0.004395669,0.000273161,0.0003513046,0.0003241621,0.001288966,0.04781979,0.004473723,0.8780653,0.05990937],"study_design_scores_gemma":[0.001042009,0.0003279032,0.003186709,0.0007694711,0.0003743283,0.0006620006,0.0002152832,0.01219878,0.06861785,0.01819149,0.894019,0.0003951283],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"software","genre_scores_codex":[0.001822169,0.0006387183,0.1445134,0.000621723,0.000678207,0.001112667,0.6065004,0.2345613,0.0095515],"genre_scores_gemma":[0.007547767,0.0005941746,0.2221174,0.0008352223,0.0001903776,0.003876126,0.7056473,0.04644567,0.01274589],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.1233355,"threshold_uncertainty_score":0.4125985,"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."}}