{"id":"W2066986855","doi":"10.1007/s10817-014-9304-2","title":"Absorption for ABoxes","year":2014,"lang":"en","type":"article","venue":"Journal of Automated Reasoning","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"SPARQL; Description logic; RDF; Conjunctive query; Negation; Computer science; Logical consequence; Knowledge base; Web Ontology Language; RDF Schema; Ontology; Theoretical computer science; Graph; Class (philosophy); Semantics (computer science); Semantic Web; Relational database; Information retrieval; Programming language; Artificial intelligence; Epistemology","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":[0.0007243473,0.00006606425,0.0001655114,0.0001043654,0.00007237116,0.0001105274,0.0003902804,0.00004765409,0.000002643712],"category_scores_gemma":[0.0005127962,0.00004853909,0.00008752971,0.0001140523,0.00001529008,0.0003724233,0.00003116594,0.00007391178,0.000007463289],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002117515,"about_ca_system_score_gemma":0.00004098022,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003411479,"about_ca_topic_score_gemma":9.222826e-7,"domain_scores_codex":[0.9993059,0.00003957533,0.0002585993,0.00008410525,0.0001609078,0.0001508826],"domain_scores_gemma":[0.9990984,0.0002164499,0.0003213961,0.0001350426,0.0001817143,0.00004702637],"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":[0.0001410551,0.0002701215,0.008380249,0.0001988723,0.0003556974,0.00008400471,0.004026846,0.008238626,0.05349097,0.3030943,0.03928152,0.5824378],"study_design_scores_gemma":[0.0007527416,0.0003396874,0.02535824,0.0002054025,0.00002010535,0.0003756181,0.0000662777,0.9546726,0.006730563,0.004964089,0.006383947,0.0001306705],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2092107,0.0001741135,0.7878705,0.0008557107,0.0008098369,0.00004748816,1.30638e-7,0.0003074133,0.0007240813],"genre_scores_gemma":[0.8195812,0.00001304103,0.1801284,0.00009586418,0.0001438985,9.187763e-7,1.82599e-7,0.000004280578,0.00003218828],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.946434,"threshold_uncertainty_score":0.1979367,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01098037176893957,"score_gpt":0.2661427066874711,"score_spread":0.2551623349185316,"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."}}