{"id":"W22332562","doi":"","title":"Ontologies for competence description in multi-agent systems","year":2008,"lang":"en","type":"article","venue":"International Conference on Mathematical Methods and Computational Techniques in Electrical Engineering","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Competence (human resources); Computer science; Ontology; Knowledge management; Artificial intelligence; Psychology; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008291955,0.001499113,0.001875002,0.004544477,0.002685729,0.008048302,0.003809127,0.003913914,0.006239308],"category_scores_gemma":[0.01886816,0.001170795,0.003943179,0.004331181,0.003250393,0.01292126,0.00796036,0.004138603,0.001659908],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004114911,"about_ca_system_score_gemma":0.004126978,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02050321,"about_ca_topic_score_gemma":0.01775582,"domain_scores_codex":[0.9917238,0.003605351,0.00162681,0.001046215,0.001608139,0.0003896212],"domain_scores_gemma":[0.9909542,0.005872869,0.0006093234,0.001274701,0.0009387028,0.000350219],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001025594,0.0001181581,0.0009219272,0.0008749109,0.0002120505,0.0007375987,0.001522352,0.05080264,0.0008198704,0.8253278,0.01148933,0.1070707],"study_design_scores_gemma":[0.00005587625,0.00002877662,0.0002299726,0.0002797649,0.00008769283,0.0002073823,0.0006159885,0.2332019,0.0006739455,0.7061509,0.05841674,0.00005100956],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002830416,0.001943283,0.9807622,0.002971351,0.0002670583,0.00046794,0.001423778,0.001476961,0.007856931],"genre_scores_gemma":[0.1177286,0.002763316,0.8667973,0.001027865,0.0002318603,0.001610666,0.004017541,0.0003247677,0.005498155],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02050321,"threshold_uncertainty_score":0.04385263,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1378825679659005,"score_gpt":0.3905333472434545,"score_spread":0.252650779277554,"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."}}