{"id":"W2066238811","doi":"10.1109/mprv.2012.58","title":"A Smarter Smart Home: Case Studies of Ambient Intelligence","year":2012,"lang":"en","type":"article","venue":"IEEE Pervasive Computing","topic":"Innovative Human-Technology Interaction","field":"Computer Science","cited_by":68,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"British Columbia Institute of Technology","keywords":"Ambient intelligence; Ubiquitous computing; Computer science; Home automation; Smart environment; Human–computer interaction; Psychological intervention; Internet of Things; Risk analysis (engineering); Computer security; Telecommunications; Business","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001229233,0.0006398854,0.0003923051,0.0008433066,0.00332302,0.00201358,0.001354203,0.003417856,0.002920496],"category_scores_gemma":[0.003196604,0.0003093126,0.0006669066,0.001278727,0.002107705,0.001570047,0.002445088,0.001382317,0.0006102683],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001026929,"about_ca_system_score_gemma":0.0005597603,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00646666,"about_ca_topic_score_gemma":0.02198495,"domain_scores_codex":[0.9989318,0.0006251176,0.00005308454,0.00008853648,0.0001244378,0.0001769793],"domain_scores_gemma":[0.9987803,0.0006171869,0.0001205566,0.0001589751,0.00007535794,0.0002475914],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"case_report","study_design_gemma":"qualitative","study_design_scores_codex":[0.001445672,0.006526943,0.1176164,0.001511155,0.0003825624,0.4102512,0.2487442,0.01199441,0.008735092,0.02833772,0.01865214,0.1458026],"study_design_scores_gemma":[0.000578992,0.002638276,0.09233411,0.0009200405,0.0004503311,0.253623,0.4073683,0.02976088,0.01457601,0.02627598,0.1710681,0.0004059982],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9785722,0.0006544502,0.004901297,0.001634446,0.00004545283,0.0001502923,0.0001621287,0.00006334136,0.01381637],"genre_scores_gemma":[0.988376,0.0008359157,0.005971058,0.0002488077,0.00002459474,0.00007616918,0.00006544139,0.00003210433,0.004369913],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00646666,"threshold_uncertainty_score":0.01285803,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0776350492863366,"score_gpt":0.3513019000280085,"score_spread":0.2736668507416719,"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."}}