{"id":"W3206666009","doi":"10.46471/gigabyte.31","title":"Atria: an ultra-fast and accurate trimmer for adapter and quality trimming","year":2021,"lang":"en","type":"article","venue":"Gigabyte","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Prince Edward Island; Canadian Food Inspection Agency","funders":"Canadian Food Inspection Agency","keywords":"Trimming; Adapter (computing); Computer science; Byte; Algorithm; Matching (statistics); Parallel computing; Computer hardware; Operating system; Mathematics","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":[0.002356315,0.001758018,0.001426349,0.002413721,0.001083432,0.001567458,0.003387068,0.001554967,0.009633975],"category_scores_gemma":[0.00479542,0.001639689,0.001391072,0.001891411,0.0005759507,0.001720892,0.002518026,0.003311176,0.01086566],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005723643,"about_ca_system_score_gemma":0.0009842794,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009409026,"about_ca_topic_score_gemma":0.001501972,"domain_scores_codex":[0.9976327,0.0002895599,0.0002031536,0.0006025958,0.001072336,0.0001996018],"domain_scores_gemma":[0.9979299,0.0004792071,0.0004107702,0.0005190468,0.0005338427,0.0001272366],"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":[0.001164488,0.0002934941,0.002965118,0.0009951512,0.0004383863,0.00057929,0.0005312874,0.008747344,0.4702736,0.003726778,0.06035573,0.4499294],"study_design_scores_gemma":[0.000223964,0.0004020023,0.004027239,0.0001339266,0.0001909142,0.001847867,0.0001328222,0.2113169,0.6342586,0.005615839,0.141553,0.0002968799],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.01198484,0.0008886966,0.9106218,0.0001409842,0.0001884347,0.0002272512,0.001347314,0.07244541,0.002155297],"genre_scores_gemma":[0.0307456,0.0004392224,0.9513154,0.0003262653,0.00007453072,0.0004828533,0.004841509,0.006965091,0.004809507],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.009633975,"threshold_uncertainty_score":0.03222889,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04349607245292741,"score_gpt":0.3048034750527828,"score_spread":0.2613074025998554,"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."}}