{"id":"W2138875386","doi":"10.1109/wimob.2007.4390864","title":"Managing and Deployment of Applications with OSGi in the Context of Smart Home","year":2007,"lang":"en","type":"article","venue":"","topic":"Context-Aware Activity Recognition Systems","field":"Computer Science","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Software deployment; Computer science; Context (archaeology); Ubiquitous computing; Smart environment; Resource (disambiguation); Home automation; Embedded system; Software engineering; Internet of Things; Human–computer interaction; Operating system; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005661667,0.00005042696,0.0001098534,0.00009735225,0.00002159662,0.00001894679,0.0002470715,0.00001431635,0.000002270986],"category_scores_gemma":[0.000003192535,0.0000330108,0.00001433333,0.0002987034,0.0000463826,0.0001454866,0.00005623282,0.00004173487,0.000002615467],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001103113,"about_ca_system_score_gemma":0.00001501087,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003337713,"about_ca_topic_score_gemma":0.001479835,"domain_scores_codex":[0.9993961,0.00003335276,0.0001862486,0.0001338284,0.0001600379,0.00009035741],"domain_scores_gemma":[0.9993086,0.000257094,0.00008623962,0.0002715664,0.00005583069,0.00002064225],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00003195144,0.0002636684,0.07660452,0.00009436281,0.00004213144,0.000006872984,0.006383839,0.000003197097,0.001817806,0.08039082,0.0001041291,0.8342567],"study_design_scores_gemma":[0.008166861,0.001666915,0.7763353,0.0007404762,0.0000796483,0.0005576545,0.04558652,0.01267932,0.1088038,0.0150486,0.02889308,0.001441794],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1529067,0.00008277017,0.8406981,0.0007063615,0.00001589602,0.0004120943,0.000001032439,0.00002359163,0.005153459],"genre_scores_gemma":[0.9980385,0.00000475796,0.001713766,0.0001642527,0.000005113953,0.00002829081,2.496342e-7,0.00000246801,0.00004265799],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8451317,"threshold_uncertainty_score":0.1346141,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01945447728864211,"score_gpt":0.2476579325712736,"score_spread":0.2282034552826315,"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."}}