{"id":"W1980216526","doi":"10.1504/ijwgs.2009.027574","title":"A semantic approach for accessible services delivery in a smart environment","year":2009,"lang":"en","type":"article","venue":"International Journal of Web and Grid Services","topic":"Context-Aware Activity Recognition Systems","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Computer science; Adaptability; Scalability; Human–computer interaction; Smart environment; Semantic Web; Architecture; User requirements document; Formalism (music); World Wide Web; Software engineering; Database; Internet of Things","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":[0.002229836,0.000460443,0.0004504281,0.001913036,0.001163605,0.003581196,0.001299409,0.001520574,0.002390421],"category_scores_gemma":[0.001794715,0.00043994,0.001122958,0.001303855,0.003010393,0.006972341,0.001958324,0.001487169,0.0007294508],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002029425,"about_ca_system_score_gemma":0.002392666,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003432822,"about_ca_topic_score_gemma":0.002584913,"domain_scores_codex":[0.9982491,0.0005149354,0.0001708321,0.0002429756,0.0006680705,0.0001540981],"domain_scores_gemma":[0.9993685,0.0001854723,0.00005482378,0.0001523817,0.0001594007,0.000079461],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003222354,0.00004336069,0.0001969456,0.0001022777,0.00001742426,0.0002140125,0.0004694878,0.006261489,0.003099735,0.9619037,0.001428267,0.02623115],"study_design_scores_gemma":[0.00004659357,0.00009174841,0.0004663058,0.0001175986,0.0000613229,0.0008043684,0.0006686531,0.1486202,0.00662402,0.7135147,0.1289177,0.00006671657],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00574269,0.0004607339,0.9789868,0.001204708,0.00007476459,0.0001095332,0.00008611722,0.0005692405,0.01276536],"genre_scores_gemma":[0.2613055,0.001025058,0.7268075,0.0005445112,0.000117543,0.0003440278,0.0003220262,0.0001485528,0.009385238],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003581196,"threshold_uncertainty_score":0.01472455,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01335536353588087,"score_gpt":0.2480723935918581,"score_spread":0.2347170300559773,"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."}}