{"id":"W2336957559","doi":"10.1186/s13059-016-0924-1","title":"JBrowse: a dynamic web platform for genome visualization and analysis","year":2016,"lang":"en","type":"article","venue":"Genome biology","topic":"Genetics, Bioinformatics, and Biomedical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":842,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Cancer Research; University of Toronto; Ontario Institute for Cancer Research","funders":"National Institute of General Medical Sciences; National Human Genome Research Institute; University of Waterloo","keywords":"Plug-in; Visualization; HTML5; JavaScript; Computer science; Annotation; Web application; Scalability; Genome browser; World Wide Web; Genome; Interactive visualization; Information retrieval; Biology; Genomics; Data mining; Database; Operating system; Artificial intelligence; Genetics","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":[0.000350743,0.0001648487,0.0002417139,0.0002183731,0.00009671579,0.00002008096,0.0002210023,0.0002964769,0.00006315249],"category_scores_gemma":[0.0001897105,0.0001107212,0.000127002,0.0001884967,0.0002903642,0.000004605057,0.0001794464,0.00003735744,0.00002178958],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002957987,"about_ca_system_score_gemma":0.00008848494,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004286439,"about_ca_topic_score_gemma":0.0000726916,"domain_scores_codex":[0.9987296,0.0000327162,0.0003168812,0.0003782267,0.00009385648,0.0004486554],"domain_scores_gemma":[0.9992571,0.00004270233,0.00009522481,0.0002947073,0.0001367014,0.0001734976],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009936628,0.00002792668,0.002114464,0.00003502173,0.0003534601,3.523809e-7,0.00004883489,0.000001163411,0.9846399,0.0003397808,0.00007237477,0.01226732],"study_design_scores_gemma":[0.006000734,0.005301509,0.06405034,0.00001958376,0.0006160839,0.0000341799,0.0003401999,0.005803327,0.02892897,0.003316695,0.8840945,0.001493849],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8704482,0.001381463,0.1262914,0.0003735557,0.000122974,0.0004506539,0.0005946016,0.00002113076,0.0003160278],"genre_scores_gemma":[0.9930659,0.002716993,0.001290152,0.0002291023,0.0001599053,0.00005227634,0.001270622,0.00001704428,0.001198038],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9557109,"threshold_uncertainty_score":0.4515081,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0145537033861647,"score_gpt":0.3038063358592123,"score_spread":0.2892526324730476,"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."}}