{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006825046,0.00006516786,0.00008196714,0.000008687086,0.00004573,0.00001135228,0.0002165161,0.00001962907,0.000004676083],"category_scores_gemma":[0.00005065252,0.00005859302,0.00003970002,0.00007068388,0.0001200417,5.481123e-7,0.0001456947,0.00002443226,0.000006693733],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000001963176,"about_ca_system_score_gemma":0.00004047485,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000785601,"about_ca_topic_score_gemma":0.000004123699,"domain_scores_codex":[0.9994477,0.00001047048,0.0001038993,0.000220226,0.00008841472,0.0001293062],"domain_scores_gemma":[0.9996992,0.000004597379,0.00004593141,0.0001462483,0.00004569184,0.00005837569],"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":[0.000007708231,0.000009704634,0.005863293,0.000006256772,0.000007446867,0.00000194871,0.00008304488,0.00008019737,0.9875593,0.00004016,0.000694477,0.005646474],"study_design_scores_gemma":[0.0001319626,0.0002538876,0.02185048,0.000003551854,0.000005874509,0.000006868133,0.00006358799,0.0001922822,0.965834,0.00002308074,0.01152744,0.0001069954],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9932826,0.001181755,0.002576079,0.0004324407,0.00007388741,0.00005052121,0.00001351328,0.000001933518,0.002387301],"genre_scores_gemma":[0.9986846,0.0001081536,0.0006301118,0.0003746991,0.00008367551,0.00000242967,0.000002959561,0.00000479762,0.0001085305],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0217253,"threshold_uncertainty_score":0.2389354,"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."}}