{"id":"W1456495627","doi":"10.1007/978-3-642-39088-3_7","title":"O wl O nt DB: A Scalable Reasoning System for OWL 2 RL Ontologies with Large ABoxes","year":2013,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":false,"ca_institutions":"St. Francis Xavier University","funders":"","keywords":"Computer science; Scalability; Web Ontology Language; Description logic; Programming language; Artificial intelligence; Semantic Web; Operating system","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":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.001055287,0.0007424263,0.0009823889,0.0006027098,0.0005380162,0.001201897,0.004165848,0.0004407495,0.000012462],"category_scores_gemma":[0.000197885,0.0005337786,0.0001704485,0.0004951193,0.0006887467,0.0009347337,0.001302152,0.0005873246,0.00006206539],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003871217,"about_ca_system_score_gemma":0.0006112385,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001337098,"about_ca_topic_score_gemma":0.0004373819,"domain_scores_codex":[0.9951511,0.00004216982,0.0005857708,0.001966351,0.0009482207,0.001306375],"domain_scores_gemma":[0.9961198,0.0009693871,0.0004469177,0.001772331,0.0005114331,0.0001801364],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00006365661,0.000111235,0.0009832407,0.0009273737,0.0001256028,0.0003561879,0.003491762,0.01086483,0.0001407169,0.458968,0.0006250919,0.5233424],"study_design_scores_gemma":[0.001666718,0.00125005,0.001056367,0.00427742,0.00006339419,0.0006148867,0.0000166735,0.9017701,0.002940879,0.07305131,0.01079944,0.002492741],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0003870047,0.001323711,0.9883853,0.0006935304,0.001903848,0.0009814403,0.000009765861,0.0006578004,0.005657668],"genre_scores_gemma":[0.2104225,0.00003442907,0.7872946,0.000632137,0.0004328371,0.0001022418,0.000004723739,0.00005099208,0.001025531],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.8909053,"threshold_uncertainty_score":0.999835,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01550865213918312,"score_gpt":0.2349184214109875,"score_spread":0.2194097692718044,"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."}}