{"id":"W2141363231","doi":"10.1093/bioinformatics/btq416","title":"OWL2Perl: creating Perl modules from OWL class definitions","year":2010,"lang":"en","type":"article","venue":"Bioinformatics","topic":"Biomedical Text Mining and Ontologies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Paul's Hospital","funders":"Natural Sciences and Engineering Research Council of Canada; Genome Canada; Canarie","keywords":"Perl; Computer science; RDF; Class (philosophy); Programming language; World Wide Web; Software; Resource (disambiguation); License; Semantic Web; Software engineering; Artificial intelligence; Operating system","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":[0.000112233,0.0001384207,0.0001299231,0.00003357642,0.0001564274,0.00005118158,0.0002206993,0.0002873572,0.00007214741],"category_scores_gemma":[0.0004070722,0.0001142021,0.00007971929,0.00006066848,0.0001952668,0.000005518162,0.0001103717,0.000197288,0.0001032904],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004918493,"about_ca_system_score_gemma":0.00005215713,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003245949,"about_ca_topic_score_gemma":0.00009575998,"domain_scores_codex":[0.9992154,0.00001345274,0.0002705483,0.000137533,0.0001312458,0.0002318554],"domain_scores_gemma":[0.9993413,0.00004638552,0.00008958242,0.0003586128,0.00005788555,0.0001062541],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008697651,0.0003418136,0.00988348,0.0001399341,0.0003050315,0.000009778388,0.00326999,0.00003397607,0.462636,0.007827753,0.04965825,0.465807],"study_design_scores_gemma":[0.002045796,0.0006694032,0.02520697,0.0001004291,0.0001207783,0.00008305973,0.005679115,0.02292565,0.1160886,0.003153865,0.8226011,0.001325174],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.969179,0.0001677508,0.007995066,0.0002641553,0.0004797046,0.00009222009,0.0001583028,0.00008345958,0.02158032],"genre_scores_gemma":[0.8331248,0.0001081092,0.1650572,0.000504079,0.0003962788,0.00001664166,0.0004941421,0.00001597428,0.0002827293],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7729429,"threshold_uncertainty_score":0.4657027,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02453226628181158,"score_gpt":0.2544989922822767,"score_spread":0.2299667260004652,"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."}}