{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003854246,0.0001106896,0.0002006283,0.000286661,0.00003755427,0.0003027681,0.0008488965,0.00004495394,0.000006360264],"category_scores_gemma":[0.000003248986,0.00009503757,0.00007800862,0.00008644137,0.00001043619,0.001388124,0.0001059129,0.0001025519,0.000003520574],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004533799,"about_ca_system_score_gemma":0.00004092732,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000640538,"about_ca_topic_score_gemma":0.00007275864,"domain_scores_codex":[0.9988502,0.00004446906,0.0004017001,0.0001899687,0.0003821464,0.0001314842],"domain_scores_gemma":[0.9992133,0.00008826308,0.0003471379,0.0001068452,0.000177223,0.0000672801],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001348373,0.003739184,0.2178824,0.001289837,0.001217337,0.0004928459,0.01588934,0.003223323,0.03173242,0.003192671,0.0007573242,0.719235],"study_design_scores_gemma":[0.0107012,0.001244822,0.2750985,0.001773122,0.00009281152,0.002007229,0.002675864,0.6558678,0.004188357,0.009816013,0.03544623,0.001088027],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9569538,0.001046337,0.03779856,0.002837878,0.0006661345,0.000194095,0.00001521055,0.00001894985,0.0004690363],"genre_scores_gemma":[0.993107,0.0002088142,0.005430993,0.0008999343,0.0003132198,0.000005951385,0.000005492188,0.000003953371,0.00002469209],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.718147,"threshold_uncertainty_score":0.387552,"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."}}