{"id":"W2002032480","doi":"10.1109/wi.2004.111","title":"ONTOXPL - Intelligent Exploration of OWL Ontologies","year":2004,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Semantic reasoner; Computer science; OWL-S; Ontology; Web Ontology Language; Description logic; World Wide Web; Semantic Web; Information retrieval; Ontology language; Process ontology; Ontology Inference Layer; Complement (music); Semantic Web Stack; 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":[0.0001095426,0.00007109612,0.0001223755,0.00006052423,0.00002995754,0.00003554354,0.0004921826,0.00003836294,0.00001232846],"category_scores_gemma":[0.00007247983,0.00005220404,0.00004286887,0.0001440911,0.00004751749,0.0006946604,0.0001232103,0.00003711213,0.00004798055],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002731339,"about_ca_system_score_gemma":0.00005052275,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003107804,"about_ca_topic_score_gemma":0.0004100469,"domain_scores_codex":[0.9993579,0.00001493158,0.0001850119,0.0001676166,0.0001414877,0.0001329838],"domain_scores_gemma":[0.9994734,0.00004489217,0.00005647595,0.0003443192,0.00005723467,0.00002370503],"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":[0.000003687231,0.00007355725,0.000400505,0.000009332534,0.00001005597,0.000006004253,0.002023022,0.0006763102,0.0007779598,0.9499878,0.00019555,0.04583627],"study_design_scores_gemma":[0.0005614847,0.0004618403,0.008919339,0.00004678638,0.000008507705,0.00001616364,0.002569722,0.002249891,0.4838363,0.4986035,0.002400922,0.000325619],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02519437,0.0001657525,0.9610477,0.002178398,0.0002692447,0.00007558065,1.402589e-7,0.0002138598,0.01085492],"genre_scores_gemma":[0.894347,0.00005500802,0.105294,0.0001314646,0.00001275785,0.000005404242,4.418976e-7,0.000001750716,0.0001521699],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8691526,"threshold_uncertainty_score":0.2128819,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07218751940172909,"score_gpt":0.2879070254471899,"score_spread":0.2157195060454608,"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."}}