{"id":"W3170771812","doi":"10.1093/database/baab069","title":"OBO Foundry in 2021: operationalizing open data principles to evaluate ontologies","year":2021,"lang":"en","type":"article","venue":"Database","topic":"Biomedical Text Mining and Ontologies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":206,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"National Human Genome Research Institute; National Institutes of Health","keywords":"Computer science; Operationalization; World Wide Web; Data science","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":[0.0006690712,0.0001161333,0.0001604376,0.00003171723,0.00007169529,0.0001066637,0.001071629,0.00008485681,0.0001700377],"category_scores_gemma":[0.002310896,0.0001055491,0.0000186242,0.0001487099,0.0000634168,0.00001678359,0.004450098,0.00009035323,0.00005500557],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001550529,"about_ca_system_score_gemma":0.0003482744,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002244967,"about_ca_topic_score_gemma":0.003848924,"domain_scores_codex":[0.9986271,0.0001331722,0.0002223211,0.00063499,0.0001505609,0.0002318976],"domain_scores_gemma":[0.998533,0.00004521611,0.00003358912,0.001235192,0.00006869196,0.00008438672],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003990593,0.0006435062,0.02600783,0.0001051295,0.0002052516,0.0006415655,0.0002883013,0.0003044052,0.6102062,0.002595247,0.1837941,0.1748095],"study_design_scores_gemma":[0.0007493924,0.00008473951,0.007018701,0.00007741098,0.00001425417,0.00003025051,0.0004721,0.0004641301,0.02760129,0.00005329312,0.9631705,0.0002639691],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.952533,0.009935922,0.01109766,0.01108793,0.001004742,0.0008698606,0.004395448,0.00005333234,0.009022096],"genre_scores_gemma":[0.5188601,0.002619842,0.3774148,0.008894127,0.001036079,0.0002951922,0.08226245,0.00007805302,0.008539435],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7793764,"threshold_uncertainty_score":0.5546728,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2031218362382894,"score_gpt":0.4157198848331276,"score_spread":0.2125980485948382,"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."}}