{"id":"W4405618790","doi":"10.1007/978-3-031-77571-0_41","title":"Wireless Alert Technology for Elderly Care at Home","year":2024,"lang":"en","type":"book-chapter","venue":"Lecture notes in networks and systems","topic":"Context-Aware Activity Recognition Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Wireless; Telecommunications; Computer science; Computer security; Internet privacy","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":[0.0001647392,0.0003909526,0.0002119949,0.0003689505,0.0001416805,0.000612423,0.0004362219,0.0005784709,0.01336067],"category_scores_gemma":[0.0002953074,0.0001006656,0.0001530192,0.0004826555,0.00008897472,0.0006845291,0.0004369952,0.0004570252,0.003431166],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000149103,"about_ca_system_score_gemma":0.0001945067,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005349783,"about_ca_topic_score_gemma":0.0009333956,"domain_scores_codex":[0.999946,0.000008964222,0.00000438123,0.000007680693,0.00002592278,0.000007128861],"domain_scores_gemma":[0.9999037,0.00003965343,0.000007021904,0.000006135212,0.00003150077,0.00001201246],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009744685,0.00007235063,0.0007628341,0.0004195232,0.00001366356,0.0002949774,0.0002440172,0.000531617,0.0219322,0.005007043,0.05829843,0.9123259],"study_design_scores_gemma":[0.00004785762,0.0008696673,0.008970781,0.0008604047,0.0002106573,0.003750751,0.0008338676,0.01329537,0.03329548,0.01251983,0.9252977,0.00004765181],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07621874,0.2092536,0.4463921,0.007179922,0.0059459,0.0002590347,0.001419539,0.004786901,0.2485442],"genre_scores_gemma":[0.3559598,0.1301701,0.0817413,0.002782922,0.001975609,0.0002072713,0.001315328,0.0003011008,0.4255466],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01336067,"threshold_uncertainty_score":0.04469591,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01575308078549663,"score_gpt":0.2322690312988,"score_spread":0.2165159505133034,"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."}}