{"id":"W3180080324","doi":"10.1093/bioinformatics/btab524","title":"Refget: standardized access to reference sequences","year":2021,"lang":"en","type":"article","venue":"Bioinformatics","topic":"Genomics and Rare Diseases","field":"Biochemistry, Genetics and Molecular Biology","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Institute for Cancer Research","funders":"European Molecular Biology Laboratory; National Institute of General Medical Sciences; Wellcome Trust","keywords":"Implementation; Computer science; Identifier; Cloud computing; Suite; Identification (biology); Database; Data mining; Programming language; Biology; Operating system","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":[0.00007943792,0.0001026252,0.0001069977,0.00002647857,0.00007496715,0.0001309322,0.0002404987,0.00007113548,0.00005650715],"category_scores_gemma":[0.0001145909,0.00008974313,0.00005316853,0.0001051966,0.00002577502,0.000008795128,0.0002456785,0.00003722277,0.00004941233],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000129808,"about_ca_system_score_gemma":0.0002717837,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000484043,"about_ca_topic_score_gemma":0.00002739755,"domain_scores_codex":[0.9993305,0.00001466613,0.0002068734,0.000138528,0.0001283609,0.0001810816],"domain_scores_gemma":[0.9993001,0.00000529471,0.00005527807,0.0003294117,0.0001774105,0.0001325444],"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":[0.0007263802,0.0004059486,0.008270932,0.0007917674,0.0006044003,0.0002296235,0.001656411,0.001791425,0.6076272,0.004206054,0.2685281,0.1051618],"study_design_scores_gemma":[0.0005630243,0.0001748344,0.002927196,0.00004004823,0.00002867456,0.00006246318,0.000615381,0.0001707788,0.2298055,0.0002245789,0.7649529,0.0004346174],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9593253,0.000746346,0.006952915,0.0006312602,0.0003264117,0.0002411125,0.0004241003,0.00003074736,0.03132183],"genre_scores_gemma":[0.9770221,0.0005243414,0.01763497,0.003001433,0.0001413629,0.00001974066,0.0005448982,0.00001678294,0.001094399],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4964248,"threshold_uncertainty_score":0.3659618,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02716707637083181,"score_gpt":0.2990807625738304,"score_spread":0.2719136862029986,"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."}}