{"id":"W2034031757","doi":"10.1186/1471-2105-15-302","title":"SAGE: String-overlap Assembly of GEnomes","year":2014,"lang":"en","type":"article","venue":"BMC Bioinformatics","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada; Compute Canada","keywords":"De Bruijn graph; Contig; String (physics); Sequence assembly; Computer science; Graph; Theoretical computer science; Genomics; Genome; Computation; Biology; Computational biology; Algorithm; Mathematics; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000180064,0.0001244251,0.0001622643,0.00003380399,0.00004936862,0.00001407858,0.0001794921,0.00008723494,0.000004806794],"category_scores_gemma":[0.00006892153,0.0001115066,0.00008755972,0.00005463071,0.00005823815,0.000001115819,0.0001406301,0.00003773909,0.0000129376],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005160248,"about_ca_system_score_gemma":0.00004480329,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004786074,"about_ca_topic_score_gemma":0.00001429284,"domain_scores_codex":[0.9992872,0.00001725241,0.0003072659,0.0001012097,0.0001057909,0.0001813211],"domain_scores_gemma":[0.9993901,0.00002137984,0.0001525228,0.0003247637,0.00006120304,0.00005008651],"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":[0.0002184691,0.0003042199,0.2249031,0.001479735,0.0006504701,6.365767e-7,0.00164522,0.007373306,0.5714484,0.01157888,0.005613016,0.1747846],"study_design_scores_gemma":[0.003941354,0.002329614,0.1441329,0.00009767818,0.0002018107,0.00003457096,0.002235607,0.05266346,0.4123456,0.001028162,0.3793284,0.001660891],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9173377,0.001199408,0.0705686,0.00002214141,0.0002136988,0.0001845019,0.0000429081,0.000006543439,0.01042449],"genre_scores_gemma":[0.9507136,0.0003289937,0.04837942,0.0001183497,0.0001219878,0.000005420422,0.00002484022,0.00001267273,0.0002946602],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3737153,"threshold_uncertainty_score":0.4547107,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01149497004112611,"score_gpt":0.2257135221193186,"score_spread":0.2142185520781925,"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."}}