{"id":"W2035596374","doi":"10.1089/cmb.2009.0047","title":"Maximum Likelihood Genome Assembly","year":2009,"lang":"en","type":"article","venue":"Journal of Computational Biology","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":129,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"National Institute of General Medical Sciences; Natural Sciences and Engineering Research Council of Canada; National Institutes of Health","keywords":"Genome; De Bruijn graph; De Bruijn sequence; Contig; Hybrid genome assembly; Sequence assembly; Computational biology; Biology; Genetics; Computer science; Algorithm; Mathematics; Combinatorics; 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":[0.0001828972,0.00009468847,0.0001646772,0.00006049518,0.00004728962,0.000009622924,0.0001590212,0.00008021868,0.000007128162],"category_scores_gemma":[0.00003681147,0.0000794455,0.0001127675,0.00004634809,0.00003831219,7.936814e-7,0.00003121901,0.00007081771,0.000005571637],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009566435,"about_ca_system_score_gemma":0.00009860095,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":6.001427e-7,"about_ca_topic_score_gemma":6.636687e-7,"domain_scores_codex":[0.9993186,0.00004397172,0.0003000915,0.000114421,0.00007190598,0.0001510357],"domain_scores_gemma":[0.9993723,0.00002200888,0.0002102135,0.00007259597,0.0002604054,0.0000624519],"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":[0.0001344093,0.0001129227,0.0018939,0.000002733304,0.0001778802,0.00000855561,0.00004730904,0.004880693,0.971918,0.001037099,0.001046814,0.01873965],"study_design_scores_gemma":[0.003189402,0.008753324,0.4911844,0.00001622067,0.00009406039,0.001175157,0.0001062343,0.0002095863,0.02409345,0.3013304,0.169205,0.0006427786],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9815794,0.002618534,0.01368954,0.001055723,0.0002335991,0.00004400371,0.00001064122,0.000001211579,0.0007673352],"genre_scores_gemma":[0.9893419,0.0001827809,0.008959622,0.0009442774,0.0005254711,4.910103e-7,0.0000215123,0.000005250808,0.00001875488],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9478246,"threshold_uncertainty_score":0.3239693,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009191157194856088,"score_gpt":0.2570611932085001,"score_spread":0.247870036013644,"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."}}