{"id":"W2136961946","doi":"10.1186/1471-2105-11-441","title":"Relations as patterns: bridging the gap between OBO and OWL","year":2010,"lang":"en","type":"article","venue":"BMC Bioinformatics","topic":"Biomedical Text Mining and Ontologies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":66,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Computer science; Ontology; Open Biomedical Ontologies; Web Ontology Language; Ontology components; Semantics (computer science); Ontology language; OWL-S; Description logic; Programming language; Software; Automated reasoning; Protégé; Natural language processing; Bridging (networking); Information retrieval; Semantic Web; Artificial intelligence; Semantic Web Stack","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01090554,0.000959811,0.001026063,0.002868053,0.001384894,0.00604868,0.003051908,0.001802922,0.003662055],"category_scores_gemma":[0.02296301,0.001523819,0.00215761,0.003868301,0.005359548,0.01490377,0.007077488,0.004419694,0.001509156],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002088845,"about_ca_system_score_gemma":0.004253418,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008431224,"about_ca_topic_score_gemma":0.00782435,"domain_scores_codex":[0.989049,0.003561922,0.001716685,0.001200821,0.00378543,0.0006861262],"domain_scores_gemma":[0.9825715,0.007905746,0.001507953,0.005675954,0.001729787,0.0006089812],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001878035,0.0001351545,0.00275578,0.0009645181,0.00009246308,0.0005842083,0.004007187,0.002941068,0.006007082,0.7302299,0.01220229,0.2398926],"study_design_scores_gemma":[0.00007425381,0.0001138389,0.001689977,0.001034292,0.0001186999,0.001242514,0.001421295,0.0400511,0.008250876,0.4727063,0.47317,0.0001267554],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.004686298,0.0004623721,0.9837969,0.001965491,0.0001220561,0.0002062509,0.0003235219,0.002220258,0.006216838],"genre_scores_gemma":[0.0613917,0.001192524,0.9291219,0.001438659,0.0001317765,0.0004476656,0.001314432,0.001816027,0.00314534],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01090554,"threshold_uncertainty_score":0.05767477,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02210392464390946,"score_gpt":0.2746213768207904,"score_spread":0.2525174521768809,"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."}}