{"id":"W1465357002","doi":"10.1007/978-3-319-05939-6_1","title":"A Temporal Description Logic for Resource-Bounded Rule-Based Context-Aware Agents","year":2014,"lang":"en","type":"book-chapter","venue":"Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering","topic":"Context-Aware Activity Recognition Systems","field":"Computer Science","cited_by":13,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"","keywords":"Computer science; Bounded function; Resource (disambiguation); Context (archaeology); Theoretical computer science; Mathematics; Geography; Computer network","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":[0.002476617,0.0009304042,0.000922272,0.001137118,0.0009055492,0.004708891,0.003384189,0.001339155,0.006451085],"category_scores_gemma":[0.003986178,0.0009318912,0.00286869,0.001579896,0.00165373,0.004499841,0.00321284,0.003374705,0.001632415],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001820297,"about_ca_system_score_gemma":0.002545587,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01069859,"about_ca_topic_score_gemma":0.008810372,"domain_scores_codex":[0.9977235,0.0005114012,0.0004224955,0.0003457038,0.0007866764,0.0002102183],"domain_scores_gemma":[0.9982855,0.0009173352,0.0001177091,0.0002821512,0.0002938983,0.0001034019],"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":[0.0001940353,0.0001876266,0.0003206806,0.0005267341,0.0001144379,0.0005285371,0.0006288471,0.07340164,0.007868701,0.7392786,0.008532885,0.1684173],"study_design_scores_gemma":[0.0001138109,0.00007760706,0.0001302004,0.0001696677,0.0001635817,0.0002661391,0.0001512892,0.4748729,0.007240697,0.4676194,0.04911928,0.00007543528],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00200023,0.0003959339,0.9916633,0.0002763561,0.00007232379,0.0001246428,0.0003995686,0.001176545,0.00389102],"genre_scores_gemma":[0.1047297,0.0008219458,0.8857904,0.0005139346,0.000108932,0.0004217856,0.00139337,0.0003279755,0.005891959],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01069859,"threshold_uncertainty_score":0.02158099,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05969722786531408,"score_gpt":0.2583426679331843,"score_spread":0.1986454400678703,"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."}}