{"id":"W2112439337","doi":"10.1109/tvcg.2009.116","title":"ABySS-Explorer: Visualizing Genome Sequence Assemblies","year":2009,"lang":"en","type":"article","venue":"IEEE Transactions on Visualization and Computer Graphics","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":61,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Cancer Agency","funders":"","keywords":"Visualization; Computer science; Bottleneck; Data visualization; Sequence assembly; Sequence (biology); Process (computing); Encoding (memory); Alignment-free sequence analysis; Data mining; Artificial intelligence; Sequence alignment; Programming language; Biology","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":[0.00009324576,0.0001834496,0.0001409084,0.000125416,0.0002616183,0.00006683027,0.000103175,0.0001061978,0.000003747673],"category_scores_gemma":[0.000001516183,0.0001863656,0.00007929542,0.0001910745,0.00006729573,0.000003600708,0.000003180358,0.00007263181,0.000002601896],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007405151,"about_ca_system_score_gemma":0.00002152649,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004107419,"about_ca_topic_score_gemma":0.000007651915,"domain_scores_codex":[0.9991012,0.0000491604,0.000201759,0.0003435334,0.0001211724,0.0001831395],"domain_scores_gemma":[0.999566,0.00001169559,0.00005632401,0.0001924359,0.00009581614,0.00007772469],"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":[0.0003627515,0.001471429,0.001276706,0.0001256773,0.0007741099,0.00001595142,0.0038723,0.007642252,0.7040608,0.2220436,0.001127568,0.05722683],"study_design_scores_gemma":[0.006846926,0.01386534,0.05677214,0.0002453871,0.0004931249,0.0002822449,0.0009792882,0.3253718,0.4204633,0.007126816,0.1624555,0.005098154],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3774352,0.0002811998,0.6217744,0.00004166453,0.0002552156,0.0001152884,0.00001720077,0.00001946174,0.00006027628],"genre_scores_gemma":[0.9954889,0.002325733,0.0003032681,0.001658303,0.0001135119,0.00001052461,0.00002625343,0.00001657797,0.00005687763],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6214712,"threshold_uncertainty_score":0.7599767,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02865651636564084,"score_gpt":0.2884466035333745,"score_spread":0.2597900871677337,"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."}}