{"id":"W3164609076","doi":"10.2139/ssrn.3199244","title":"Rules and Ontologies in Support of Real-Time Ubiquitous Application","year":2005,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Context-Aware Activity Recognition Systems","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Computer science; Data science","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":[0.001240039,0.00009342079,0.0001990659,0.0001665335,0.00004973734,0.00004804699,0.0003592561,0.00005808269,0.000005898166],"category_scores_gemma":[0.00003090086,0.00008808228,0.00004105322,0.0001471551,0.00003463512,0.0005424096,0.00006970266,0.0004238073,0.00003748385],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003484978,"about_ca_system_score_gemma":0.0006397964,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001675236,"about_ca_topic_score_gemma":0.001878284,"domain_scores_codex":[0.9984847,0.00009075751,0.0003176594,0.0001933876,0.0001820848,0.0007314204],"domain_scores_gemma":[0.9993808,0.00009456717,0.0002177438,0.0001933467,0.00007306348,0.0000404797],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00002230507,0.0001090684,0.004567963,0.000009359171,0.00004167024,0.000003430536,0.0006267689,0.00001467016,0.00853604,0.04835461,0.0001433009,0.9375708],"study_design_scores_gemma":[0.008330934,0.003622192,0.1058701,0.0002194539,0.00009697724,0.0167177,0.002966186,0.02967348,0.01939682,0.7770593,0.03375502,0.002291847],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8311345,0.0008026351,0.1625831,0.002616651,0.00006525739,0.0002288646,0.000002382962,0.00008785629,0.002478715],"genre_scores_gemma":[0.9973305,0.001021454,0.001264924,0.00004006998,0.00007679895,0.000009364141,0.000001160927,0.000005826602,0.0002498391],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.935279,"threshold_uncertainty_score":0.3591891,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009095848905978834,"score_gpt":0.2468265001276297,"score_spread":0.2377306512216509,"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."}}