{"id":"W2400046567","doi":"","title":"A Platform for Reasoning with OWL-EL Knowledge Bases in a Peer-to-Peer Environment.","year":2009,"lang":"en","type":"article","venue":"OWL: Experiences and Directions","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"Carleton University","funders":"","keywords":"Computer science; Peer-to-peer; World Wide Web; Human–computer interaction","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":[0.005756651,0.0007427123,0.001137485,0.001844008,0.002514075,0.007246723,0.004601246,0.002155708,0.007284676],"category_scores_gemma":[0.01390502,0.001506497,0.001520673,0.001900936,0.001341881,0.01362335,0.00723885,0.003599098,0.005266487],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009533102,"about_ca_system_score_gemma":0.002780856,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009684036,"about_ca_topic_score_gemma":0.01032433,"domain_scores_codex":[0.9973417,0.0006114324,0.0005211248,0.000338741,0.0009801403,0.0002069362],"domain_scores_gemma":[0.9950735,0.001720734,0.0003423765,0.001646427,0.0006454529,0.0005715683],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001332849,0.001611191,0.00298751,0.001654335,0.0006638948,0.004328766,0.003003369,0.03237081,0.01739336,0.3919658,0.1668724,0.3758157],"study_design_scores_gemma":[0.0004749097,0.0001774336,0.001133603,0.0006309043,0.0003408656,0.001047943,0.001110376,0.2667308,0.01711326,0.3601667,0.3508485,0.0002246705],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.007122107,0.0004638989,0.9394269,0.001128047,0.0003709845,0.0007623946,0.002604072,0.03632399,0.01179759],"genre_scores_gemma":[0.07848585,0.0009398843,0.8821011,0.0008396217,0.0001756807,0.000926914,0.01666493,0.002978589,0.01688746],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.009684036,"threshold_uncertainty_score":0.03044444,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02114890808397169,"score_gpt":0.2837233728197178,"score_spread":0.2625744647357461,"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."}}