{"id":"W2155983825","doi":"10.1093/bib/bbt001","title":"Using GBrowse 2.0 to visualize and share next-generation sequence data","year":2013,"lang":"en","type":"article","venue":"Briefings in Bioinformatics","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":119,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Institute for Cancer Research","funders":"U.S. Public Health Service; National Institutes of Health; National Human Genome Research Institute; Ontario Institute for Cancer Research","keywords":"Panning (audio); Zoom; Computer science; Upload; Track (disk drive); Software deployment; World Wide Web; Genome browser; Genome; Genomics; Operating system","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":[0.00267196,0.001699573,0.001233547,0.003354972,0.001319641,0.002946804,0.002064578,0.001188602,0.04230376],"category_scores_gemma":[0.004350901,0.001749734,0.001378365,0.003930259,0.0005558613,0.002571214,0.003194101,0.002778495,0.07696775],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004573833,"about_ca_system_score_gemma":0.00125709,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003271211,"about_ca_topic_score_gemma":0.003921253,"domain_scores_codex":[0.9983352,0.0003438629,0.0001487298,0.0004610693,0.0005498866,0.0001613377],"domain_scores_gemma":[0.9988236,0.0001967532,0.0001289498,0.0004535233,0.000247528,0.0001496516],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000917587,0.0001837482,0.002734823,0.002210193,0.0004102111,0.0009425613,0.001035944,0.001554445,0.2692529,0.007490927,0.4699343,0.2433324],"study_design_scores_gemma":[0.0001328294,0.00005933692,0.002512752,0.0001902028,0.000066377,0.0008168166,0.0001350766,0.00511548,0.08268788,0.008026832,0.9000066,0.0002498049],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.01060091,0.001438398,0.7121156,0.001034203,0.001062698,0.001061086,0.06373914,0.1895499,0.01939801],"genre_scores_gemma":[0.01501681,0.001476068,0.8351858,0.0008124158,0.0001456622,0.002083437,0.08767592,0.03623124,0.02137272],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.04230376,"threshold_uncertainty_score":0.1415202,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1746980758964073,"score_gpt":0.3312665393608534,"score_spread":0.1565684634644461,"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."}}