{"id":"W2037382435","doi":"10.1186/1471-213x-8-92","title":"An ontology for Xenopus anatomy and development","year":2008,"lang":"en","type":"article","venue":"BMC Developmental Biology","topic":"Biomedical Text Mining and Ontologies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":58,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"National Institutes of Health; Eunice Kennedy Shriver National Institute of Child Health and Human Development; Alberta Heritage Foundation for Medical Research","keywords":"Xenopus; Biology; Ontology; Model organism; Computational biology; Controlled vocabulary; Bioinformatics; Computer science; Gene; Information retrieval; 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":[0.0001866767,0.0001906598,0.000218271,0.0000607593,0.0002405796,0.000007149343,0.0002156648,0.0003207296,0.00001814379],"category_scores_gemma":[0.0001034866,0.0001658918,0.00003127592,0.00005127314,0.0004199441,0.000004783825,0.0001212919,0.00006041509,0.00001245414],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002378816,"about_ca_system_score_gemma":0.0003302122,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000095858,"about_ca_topic_score_gemma":0.0001691514,"domain_scores_codex":[0.9987478,0.00005828819,0.0002580273,0.0005047251,0.00005429431,0.000376925],"domain_scores_gemma":[0.9995751,0.00003806594,0.000060296,0.0001401485,0.00004539207,0.0001409822],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006080584,0.0003009339,0.45361,0.00006611207,0.0002006877,0.00001566627,0.0009900345,0.000001165041,0.3752569,0.001220065,0.00317803,0.1645523],"study_design_scores_gemma":[0.002278428,0.00112298,0.09605298,0.000008524255,0.000009229187,0.000690195,0.0005730651,0.00002023016,0.1271833,0.0003172219,0.7710863,0.0006575967],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.975309,0.000891358,0.02297868,0.0000687002,0.0002070259,0.000212692,0.00001547868,0.00004448957,0.0002726396],"genre_scores_gemma":[0.7596705,0.00008686643,0.2389399,0.0004875235,0.00009026013,0.0001004247,0.0003879493,0.00001528679,0.0002213214],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7679082,"threshold_uncertainty_score":0.6764871,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04007027699062416,"score_gpt":0.3084072116659428,"score_spread":0.2683369346753186,"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."}}