{"id":"W2093824416","doi":"10.2298/csis0901023k","title":"Model driven engineering of a tableau algorithm for description logics","year":2009,"lang":"en","type":"article","venue":"Computer Science and Information Systems","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"Athabasca University","funders":"","keywords":"Metamodeling; Computer science; Programming language; Lisp; Semantic reasoner; Syntax; Java; Abstract syntax; Description logic; Ontology; Implementation; Model transformation; Algorithm; Theoretical computer science; Semantics (computer science); Artificial intelligence","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":[0.0005524585,0.00007584783,0.0001353816,0.0002237227,0.0001108977,0.0004113899,0.0004855859,0.00003462614,4.191867e-8],"category_scores_gemma":[0.00002764593,0.00006274897,0.00002124962,0.0003845324,0.00004820188,0.005838675,0.00008199264,0.00003090671,0.000001562407],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003104878,"about_ca_system_score_gemma":0.0000896835,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004378651,"about_ca_topic_score_gemma":5.927425e-8,"domain_scores_codex":[0.9991176,0.000004177384,0.0002851328,0.0001257496,0.0002852558,0.0001820676],"domain_scores_gemma":[0.9991978,0.00002319548,0.0001259609,0.0002044286,0.0003966696,0.00005190683],"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":[0.000001889686,0.00001957697,0.00003804467,0.0000856017,0.000004976057,3.009634e-7,0.003258266,0.1952837,0.001534078,0.1731841,0.0006277617,0.6259617],"study_design_scores_gemma":[0.0001507413,0.0001076821,0.0004284557,0.00002999254,0.000001314463,0.00001283209,0.000038415,0.9976494,0.0004632881,0.0002403922,0.0007980742,0.00007945253],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00514277,0.00006742359,0.9938163,0.00008130023,0.0004549875,0.0002162587,0.000001768631,0.00008289912,0.0001362527],"genre_scores_gemma":[0.6361486,0.00001333341,0.3636159,0.0001761026,0.00003265246,0.000007284766,0.000001094371,8.208171e-7,0.000004238485],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8023656,"threshold_uncertainty_score":0.4232899,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02642450872349376,"score_gpt":0.225545041229433,"score_spread":0.1991205325059392,"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."}}