{"id":"W2794529100","doi":"","title":"ARKS: chromosome-scale human genome scaffolding with linked read kmers","year":2018,"lang":"en","type":"article","venue":"Research in Computational Molecular Biology","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"BC Cancer Agency","funders":"","keywords":"Human genome; Computer science; Chromosome; Genome; Scale (ratio); Computational biology; Genetics; Biology; Gene; Physics","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":[0.0006321839,0.0001791298,0.0002038865,0.0002350182,0.0002550684,0.00002883013,0.0003322941,0.0001705584,0.00002555605],"category_scores_gemma":[0.00004156964,0.0001653134,0.00005689555,0.0003478754,0.000815658,0.000001264042,0.0003075488,0.000183678,0.00002457405],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005047249,"about_ca_system_score_gemma":0.0001656473,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006427359,"about_ca_topic_score_gemma":0.0001122847,"domain_scores_codex":[0.9980162,0.00029913,0.0002561919,0.0006247119,0.0002280886,0.0005756365],"domain_scores_gemma":[0.9990568,0.00005638749,0.00005893426,0.0003024754,0.0004151149,0.0001103215],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00009451032,0.0000751295,0.005391963,0.00001301854,0.00009613889,0.00001771615,0.00007588372,0.001739554,0.9888287,0.002791771,0.00004751141,0.000828072],"study_design_scores_gemma":[0.0122068,0.02459882,0.4099157,0.0003323094,0.00008365768,0.0004427729,0.001266675,0.00454244,0.2634507,0.2004196,0.07896677,0.003773788],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9897543,0.0007781372,0.006158454,0.000460486,0.00006086057,0.0003169463,0.0000232466,0.000005932345,0.002441689],"genre_scores_gemma":[0.9920489,0.00005259918,0.007022582,0.0001812117,0.0003170379,0.00006048334,0.0002197169,0.00003114971,0.00006630771],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.725378,"threshold_uncertainty_score":0.6741283,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04379487984471765,"score_gpt":0.377809085958928,"score_spread":0.3340142061142104,"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."}}