{"id":"W3016821318","doi":"10.1093/bioinformatics/btaa253","title":"ntJoin: Fast and lightweight assembly-guided scaffolding using minimizer graphs","year":2020,"lang":"en","type":"article","venue":"Bioinformatics","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":44,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada's Michael Smith Genome Sciences Centre","funders":"National Human Genome Research Institute; National Institutes of Health; Genome British Columbia; Genome Canada","keywords":"Sequence assembly; Computer science; Python (programming language); Reference genome; Synteny; Genome; Graph; Programming language; Theoretical computer science; Biology; Genetics; 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":[0.002195498,0.002727004,0.001738192,0.001892229,0.001687928,0.002453269,0.004139867,0.001515155,0.02244429],"category_scores_gemma":[0.009555066,0.001691736,0.002576043,0.001849071,0.0009222298,0.002312515,0.003446505,0.003030294,0.01625029],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000784025,"about_ca_system_score_gemma":0.001935265,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002672229,"about_ca_topic_score_gemma":0.005240405,"domain_scores_codex":[0.9981316,0.0003026949,0.0001769395,0.0005005638,0.0007662137,0.0001220555],"domain_scores_gemma":[0.9967995,0.001459894,0.0002743747,0.000735809,0.0005160962,0.0002143743],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001705236,0.0002952573,0.003866701,0.004752384,0.0007038414,0.001361288,0.001743738,0.1045048,0.1257783,0.03580311,0.2439601,0.4755253],"study_design_scores_gemma":[0.0006708394,0.0003426182,0.001507598,0.0004294821,0.0002125,0.0009967502,0.0003278677,0.62336,0.09005646,0.06896695,0.2127494,0.0003794397],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.006296914,0.0003901736,0.8657408,0.0001784084,0.000237164,0.0001750486,0.004558897,0.1198183,0.002604221],"genre_scores_gemma":[0.04283961,0.0004090328,0.8910504,0.0001780063,0.00007634716,0.0006294396,0.02567026,0.03503814,0.004108811],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02244429,"threshold_uncertainty_score":0.07508361,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03114288380858979,"score_gpt":0.2481334508236804,"score_spread":0.2169905670150906,"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."}}