{"id":"W3110566950","doi":"10.18280/isi.250501","title":"Context-Aware Multi-layered Ontology for Composite Situation Model in Pervasive Computing","year":2020,"lang":"en","type":"article","venue":"Ingénierie des systèmes d information","topic":"Context-Aware Activity Recognition Systems","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Ontology; Computer science; Interoperability; Context (archaeology); Flexibility (engineering); Context management; Ubiquitous computing; Mobile computing; Mobile device; Reusability; Context awareness; World Wide Web; Human–computer interaction; Telecommunications","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001170163,0.0006207328,0.0005097006,0.002036643,0.001270371,0.002761076,0.001450402,0.0008805526,0.00144501],"category_scores_gemma":[0.002282102,0.0005635883,0.002559585,0.001897709,0.001059698,0.004761084,0.002641302,0.001672385,0.0003714915],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001728729,"about_ca_system_score_gemma":0.00331012,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02461104,"about_ca_topic_score_gemma":0.02965871,"domain_scores_codex":[0.9984235,0.0004217211,0.0002506694,0.0003052318,0.000453756,0.0001452532],"domain_scores_gemma":[0.9994666,0.0001317096,0.000074485,0.0001238408,0.0001431829,0.00006020668],"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":[0.000138788,0.000238936,0.005147087,0.0007479485,0.000289515,0.002250732,0.004765447,0.1131754,0.01130841,0.6489945,0.01012163,0.2028217],"study_design_scores_gemma":[0.00004110423,0.00006353066,0.001899659,0.0003689125,0.0002874582,0.001169559,0.001575185,0.6297564,0.00589167,0.2616661,0.09714355,0.0001367708],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.008488782,0.0005131594,0.9830998,0.0005027753,0.00007650038,0.0002240134,0.0004764225,0.0007962769,0.005822218],"genre_scores_gemma":[0.204519,0.001305366,0.7879582,0.000242542,0.00005081499,0.0006053564,0.001825534,0.0001356449,0.003357422],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02461104,"threshold_uncertainty_score":0.04893559,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06223945478103822,"score_gpt":0.2753324156160812,"score_spread":0.213092960835043,"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."}}