{"id":"W3045408080","doi":"10.1016/j.isci.2020.101389","title":"HASLR: Fast Hybrid Assembly of Long Reads","year":2020,"lang":"en","type":"article","venue":"iScience","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":68,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Nanopore sequencing; Computer science; Sequence assembly; Contiguity; DNA sequencing; Computational biology; Range (aeronautics); Biology; Engineering; Genetics; DNA; Gene","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":[0.003011781,0.001873538,0.001796698,0.001671361,0.001168008,0.001886584,0.002063104,0.001460842,0.008294194],"category_scores_gemma":[0.003289183,0.001257266,0.001875944,0.001217785,0.0005806789,0.001114523,0.002396187,0.00249248,0.00767326],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005445495,"about_ca_system_score_gemma":0.0008864614,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001125204,"about_ca_topic_score_gemma":0.002231261,"domain_scores_codex":[0.9971661,0.0008014314,0.0002729681,0.0006412607,0.0008946435,0.0002237032],"domain_scores_gemma":[0.9977456,0.0009308488,0.0001795957,0.0005042298,0.0004996178,0.0001400845],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001923231,0.0003161947,0.002297407,0.0025805,0.0009486767,0.0008100478,0.0007414973,0.0172371,0.676154,0.006412221,0.04573343,0.2448457],"study_design_scores_gemma":[0.0002076637,0.0009938572,0.002405692,0.0001582549,0.0001925764,0.00114517,0.0001868351,0.2126859,0.6514712,0.004829671,0.1252477,0.0004753821],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.03824724,0.001552938,0.8856125,0.0002320801,0.0005190915,0.0005899864,0.005517083,0.06419311,0.003535876],"genre_scores_gemma":[0.06906214,0.0004380679,0.9007583,0.0002849657,0.00008173356,0.0009699591,0.01654817,0.005278782,0.00657796],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.008294194,"threshold_uncertainty_score":0.02774686,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01808806007274766,"score_gpt":0.2448358506126022,"score_spread":0.2267477905398546,"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."}}