{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007640045,0.0001926376,0.0001978873,0.00007504391,0.001121678,0.0001770596,0.0007492923,0.0001481324,0.00004255824],"category_scores_gemma":[0.0001311503,0.0001889955,0.00006399213,0.00003109887,0.0005481619,0.000002738801,0.0008805398,0.0002459586,0.00004091931],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003076061,"about_ca_system_score_gemma":0.0002187615,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001272224,"about_ca_topic_score_gemma":0.0001974793,"domain_scores_codex":[0.9983267,0.00007765699,0.0001917947,0.0006140248,0.0002270047,0.0005628292],"domain_scores_gemma":[0.9983363,0.00001629926,0.00005686528,0.00125949,0.0001372909,0.0001938229],"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":[0.0001050654,0.00004206469,0.003212559,0.00002353364,0.00006141279,0.00000624414,0.0002097136,0.0000193516,0.991154,0.0004507635,0.00125497,0.003460379],"study_design_scores_gemma":[0.008236147,0.001582957,0.1718508,0.00007305788,0.0001275107,0.0001140823,0.001164202,0.01186434,0.6205364,0.006544963,0.1758763,0.002029281],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9934087,0.001622542,0.0003356079,0.0005953741,0.00008836045,0.0003038592,0.0002283755,0.00000393748,0.003413262],"genre_scores_gemma":[0.9919569,0.003838678,0.002190121,0.0001089763,0.0002303906,0.00002571003,0.00003313101,0.00005503007,0.001561012],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3706176,"threshold_uncertainty_score":0.8627155,"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."}}