{"id":"W4226329328","doi":"10.1093/bioinformatics/btac195","title":"ELIXIR biovalidator for semantic validation of life science metadata","year":2022,"lang":"en","type":"article","venue":"Bioinformatics","topic":"Biomedical Text Mining and Ontologies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Institute for Cancer Research","funders":"Vlaamse regering; Fonds Wetenschappelijk Onderzoek; European Bioinformatics Institute","keywords":"Validator; Computer science; License; Schema (genetic algorithms); Elixir (programming language); Information retrieval; Metadata; JSON; Semantic integration; World Wide Web; Programming language; Semantic Web","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":[0.0007071899,0.00007885254,0.0001280247,0.00008418973,0.000204583,0.0000278577,0.0004137232,0.00004245306,0.00001450027],"category_scores_gemma":[0.0006157517,0.00006969745,0.00006201666,0.0002257032,0.0002453167,0.00001155364,0.0003305468,0.00004504666,0.00000203319],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001276423,"about_ca_system_score_gemma":0.0002776539,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003701956,"about_ca_topic_score_gemma":6.046337e-7,"domain_scores_codex":[0.9990975,0.00001730524,0.00030354,0.0001265113,0.0002702645,0.0001848526],"domain_scores_gemma":[0.9993239,0.00002373551,0.0001713206,0.0003247166,0.0000888928,0.00006745013],"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":[0.0004529197,0.0004691402,0.00404917,0.0009409454,0.0003257204,0.000001050717,0.001381019,0.0007200683,0.8495335,0.003785268,0.05635635,0.08198487],"study_design_scores_gemma":[0.001156662,0.001091467,0.0004141421,0.00001182144,0.00005929957,0.00001432563,0.002361432,0.007987288,0.707563,0.0001423672,0.2788675,0.0003307816],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9287149,0.0004470431,0.0687027,0.0003140206,0.0005385784,0.0004165267,0.0003970324,0.00003321556,0.0004359914],"genre_scores_gemma":[0.9574261,0.00002344941,0.04170864,0.0002758683,0.00005519836,0.00004361809,0.0002901875,0.0000080121,0.0001688827],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2225111,"threshold_uncertainty_score":0.284218,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03119283094040965,"score_gpt":0.287908350116224,"score_spread":0.2567155191758143,"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."}}