{"id":"W7117319367","doi":"10.1002/alz70858_101297","title":"Feasibility of Ambient Home Sensing Technology for People Requiring In‐Home Professional Care","year":2025,"lang":"en","type":"article","venue":"Alzheimer s & Dementia","topic":"Context-Aware Activity Recognition Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Enerkem (Canada); Bombardier (Canada)","funders":"","keywords":"Usability; Dementia; Ambient intelligence; Confidentiality; Assisted living; Dual (grammatical number); Data collection","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.008007546,0.0004890493,0.0002400558,0.0004839157,0.001429543,0.001508428,0.0009335117,0.00093384,0.003116835],"category_scores_gemma":[0.01426803,0.0003064697,0.0006672824,0.0002403638,0.0007616596,0.001178288,0.001500668,0.0006260059,0.0005220014],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00095486,"about_ca_system_score_gemma":0.002389904,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00597412,"about_ca_topic_score_gemma":0.008859879,"domain_scores_codex":[0.995733,0.002606567,0.0002163961,0.0002861352,0.0006851176,0.0004728445],"domain_scores_gemma":[0.9935266,0.003304921,0.0003720322,0.000384398,0.001889763,0.0005223594],"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":[0.00291819,0.004930227,0.3202626,0.002422501,0.0001225172,0.004291121,0.1247272,0.0009473792,0.03769987,0.001420837,0.004530651,0.4957271],"study_design_scores_gemma":[0.001115226,0.05646596,0.4773197,0.002617225,0.0008137717,0.0113339,0.3212031,0.009723958,0.03264471,0.003495557,0.08277826,0.000488634],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9839705,0.0002115316,0.007122421,0.0008446142,0.00004181271,0.001368641,0.00009733622,0.0001021855,0.006241045],"genre_scores_gemma":[0.9828556,0.0002333891,0.01441547,0.0002039943,0.00001949837,0.001245036,0.00006849479,0.000008973198,0.0009494807],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008007546,"threshold_uncertainty_score":0.04234844,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03612290873862642,"score_gpt":0.3144157998722223,"score_spread":0.2782928911335959,"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."}}