{"id":"W2765797013","doi":"10.1093/nar/gkx936","title":"Xenbase: a genomic, epigenomic and transcriptomic model organism database","year":2017,"lang":"en","type":"article","venue":"Nucleic Acids Research","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":201,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development; National Institutes of Health; Wellcome Trust","keywords":"Biology; Genome browser; Genome; Epigenomics; Computational biology; Chromosome conformation capture; Genomics; Visualization; Database; Genetics; Computer science; DNA methylation; Gene; Data mining","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009036642,0.001930752,0.001756568,0.004691521,0.001121766,0.003104485,0.003110451,0.001501598,0.02074257],"category_scores_gemma":[0.001491682,0.001021771,0.001258274,0.005347802,0.0004271377,0.002333185,0.00240756,0.001393716,0.02150978],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008095746,"about_ca_system_score_gemma":0.002263658,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004241674,"about_ca_topic_score_gemma":0.003769124,"domain_scores_codex":[0.9995412,0.00006011484,0.0000821381,0.0001481523,0.0001132699,0.00005516937],"domain_scores_gemma":[0.9993018,0.0001247497,0.0001471062,0.0001738233,0.000108845,0.0001436199],"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":[0.003765738,0.0003588814,0.009256636,0.01038817,0.0008167967,0.00193333,0.0007677114,0.008154973,0.109983,0.02227199,0.7275353,0.1047674],"study_design_scores_gemma":[0.000212218,0.0001500665,0.009002349,0.0006005029,0.0003894881,0.001108,0.0001478742,0.004439751,0.01246674,0.01013205,0.9612008,0.0001502105],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"software","genre_scores_codex":[0.008608504,0.003565661,0.03490194,0.0003465309,0.0003057827,0.0001949592,0.9044824,0.0359326,0.01166157],"genre_scores_gemma":[0.007233241,0.00202161,0.02080708,0.0001341597,0.00002926383,0.0003066397,0.9654242,0.002303442,0.001740262],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.02074257,"threshold_uncertainty_score":0.06939077,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05884238784618508,"score_gpt":0.3362126590024206,"score_spread":0.2773702711562355,"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."}}