{"id":"W2763456665","doi":"10.1093/bioinformatics/btx648","title":"SAGE2: parallel human genome assembly","year":2017,"lang":"en","type":"article","venue":"Bioinformatics","topic":"Genome Rearrangement Algorithms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University; Western University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Genome; Sequence assembly; Computer science; Human genome; License; Graph; MIT License; Computational biology; Biology; Theoretical computer science; 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":[0.001517248,0.00233696,0.001354363,0.001334466,0.0009294823,0.001456096,0.002256847,0.000759957,0.04695857],"category_scores_gemma":[0.003517325,0.001363759,0.002089428,0.001843501,0.0004747002,0.001130264,0.002387942,0.002239136,0.04022862],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003736316,"about_ca_system_score_gemma":0.001383068,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002186463,"about_ca_topic_score_gemma":0.004576355,"domain_scores_codex":[0.9987983,0.0002329213,0.00009473481,0.0004158318,0.0003670219,0.00009117868],"domain_scores_gemma":[0.9988808,0.000353824,0.00006834881,0.0002938664,0.000269266,0.000133925],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00154029,0.0000736753,0.002238257,0.001377403,0.0005258308,0.0004175011,0.000307807,0.01142839,0.03388862,0.01023131,0.8193929,0.118578],"study_design_scores_gemma":[0.001534372,0.0003069608,0.006246936,0.0003150108,0.0003530788,0.00143519,0.0001429285,0.1712724,0.09546798,0.06003485,0.6625089,0.0003813426],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.008406376,0.001033267,0.5236351,0.0007364585,0.0008232018,0.0004093168,0.1150298,0.3301545,0.01977189],"genre_scores_gemma":[0.03865061,0.000713334,0.6022199,0.000980521,0.0003339161,0.001525114,0.27491,0.06552944,0.01513719],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.04695857,"threshold_uncertainty_score":0.157092,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02237485941165562,"score_gpt":0.2756007835409523,"score_spread":0.2532259241292967,"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."}}