{"id":"W2059224185","doi":"10.1093/nar/gkm826","title":"Xenbase: a Xenopus biology and genomics resource","year":2007,"lang":"en","type":"article","venue":"Nucleic Acids Research","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":135,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development; Alberta Heritage Foundation for Medical Research; National Institutes of Health; University of Calgary","keywords":"Biology; Xenopus; UniGene; Genome; Ensembl; Genomics; Computational biology; Annotation; Database; Gene; Gene Annotation; Gene nomenclature; Genetics; Expressed sequence tag; Computer science","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":[0.0008125683,0.00125885,0.001208233,0.004552469,0.00108446,0.002383717,0.002461003,0.0007013528,0.04275212],"category_scores_gemma":[0.001324553,0.000747838,0.0007472627,0.004750623,0.0002893856,0.001759228,0.001537022,0.0009065088,0.03225407],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008298411,"about_ca_system_score_gemma":0.001636447,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004188683,"about_ca_topic_score_gemma":0.003830227,"domain_scores_codex":[0.9996,0.00006517349,0.00007077578,0.0000981115,0.0001237292,0.0000422686],"domain_scores_gemma":[0.999415,0.0001177618,0.00009616156,0.0001259217,0.0001231493,0.0001219675],"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":[0.002023088,0.0001706844,0.004588132,0.005894443,0.000226447,0.001304183,0.0003452461,0.00338885,0.06786244,0.01557307,0.7304465,0.168177],"study_design_scores_gemma":[0.0001427367,0.00008619639,0.005234673,0.0003493305,0.0001318532,0.001100024,0.00007595517,0.001709159,0.01552063,0.00351958,0.972047,0.00008303865],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"software","genre_scores_codex":[0.009223364,0.008903941,0.04574834,0.0006091904,0.0003980363,0.000345498,0.8457636,0.05444082,0.0345671],"genre_scores_gemma":[0.009910666,0.003602585,0.04009179,0.0001744864,0.00007152934,0.0003490648,0.9349672,0.004046534,0.006786169],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.04275212,"threshold_uncertainty_score":0.1430201,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03217235826621935,"score_gpt":0.3371192273141309,"score_spread":0.3049468690479116,"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."}}