{"id":"W2034159722","doi":"10.1504/ijwgs.2010.035091","title":"A standard ontology for smart spaces","year":2010,"lang":"en","type":"article","venue":"International Journal of Web and Grid Services","topic":"Context-Aware Activity Recognition Systems","field":"Computer Science","cited_by":42,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Ontology; Computer science; Ontology-based data integration; Process ontology; Middleware (distributed applications); Upper ontology; OWL-S; Suggested Upper Merged Ontology; Ontology Inference Layer; World Wide Web; Semantic Web; Database","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":[0.0004029442,0.00007485524,0.0001619048,0.000159422,0.00004396492,0.0002898372,0.0006515668,0.00004809382,0.00002022023],"category_scores_gemma":[0.00003507214,0.00006097936,0.00007295171,0.00004453281,0.00002489821,0.0007528659,0.00008886083,0.0001405122,0.000004185077],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001360377,"about_ca_system_score_gemma":0.00009123628,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004187002,"about_ca_topic_score_gemma":0.001247481,"domain_scores_codex":[0.9992074,0.00002635632,0.0002628095,0.0001191385,0.0002889416,0.00009529058],"domain_scores_gemma":[0.9985002,0.0002205009,0.0003207572,0.00008891139,0.0007975618,0.00007210246],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001425312,0.0005038765,0.1563167,0.0002875541,0.00172562,0.0003355815,0.008425654,0.00001922871,0.09400301,0.05671074,0.009866308,0.6703804],"study_design_scores_gemma":[0.004118775,0.0007110059,0.01930952,0.0002279009,0.0000374052,0.00319354,0.0005843922,0.00859974,0.006680545,0.01586527,0.9403023,0.0003695822],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9473083,0.0002172123,0.03112675,0.01280302,0.007757239,0.00009521082,0.00004451657,0.00002330357,0.0006244628],"genre_scores_gemma":[0.9928801,0.00003071942,0.005599785,0.0005271152,0.0008987825,0.000003493663,0.000001637136,0.000003850012,0.00005450885],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.930436,"threshold_uncertainty_score":0.2794907,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009728341160729395,"score_gpt":0.2745783228727374,"score_spread":0.264849981712008,"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."}}