{"id":"W1481598211","doi":"10.1093/nar/gkv476","title":"A low-latency, big database system and browser for storage, querying and visualization of 3D genomic data","year":2015,"lang":"en","type":"article","venue":"Nucleic Acids Research","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Canadian Institutes of Health Research; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung","keywords":"Genome browser; Visualization; Genome; Biology; Big data; Computer science; Benchmark (surveying); Genomics; Data visualization; Database; Computational biology; Data mining; Gene; Genetics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.004024251,0.001833763,0.001765205,0.00304257,0.002028515,0.004894002,0.005617229,0.001927473,0.02211556],"category_scores_gemma":[0.007060709,0.001828315,0.001197136,0.005504983,0.001145447,0.005832128,0.007062685,0.002597424,0.0148233],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001455393,"about_ca_system_score_gemma":0.004285574,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01165678,"about_ca_topic_score_gemma":0.01633682,"domain_scores_codex":[0.9968855,0.0004506706,0.0002632542,0.0006218999,0.001516228,0.0002624803],"domain_scores_gemma":[0.9931797,0.001116888,0.0002491976,0.002769629,0.001502566,0.001182025],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00170192,0.0003091766,0.00529859,0.0008483013,0.0003645218,0.0006842017,0.0007119633,0.002924069,0.07301904,0.0185398,0.6104859,0.2851126],"study_design_scores_gemma":[0.0007927737,0.0004709772,0.008317227,0.0002892983,0.0003645123,0.002254736,0.0006023454,0.1269387,0.08460671,0.04294306,0.7317301,0.0006896262],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.008391133,0.002033552,0.6552942,0.001503456,0.0005898893,0.0007815877,0.021972,0.296472,0.01296201],"genre_scores_gemma":[0.0821284,0.002388557,0.8015815,0.002425487,0.0003348993,0.001279859,0.07813087,0.01731423,0.01441624],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02211556,"threshold_uncertainty_score":0.07398391,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1123279742995352,"score_gpt":0.3636277276979554,"score_spread":0.2512997533984202,"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."}}