{"id":"W2505822593","doi":"","title":"A Multiagent Approach to Personalization and Assistance to Multiple Persons in a Smart Home","year":2014,"lang":"en","type":"article","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Context-Aware Activity Recognition Systems","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Personalization; Key (lock); Computer science; Human–computer interaction; Home automation; Residence; Process (computing); Internet privacy; Computer security; World Wide Web; Telecommunications","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":[0.0008367809,0.0004146223,0.0005112372,0.0004663548,0.001005064,0.001178011,0.0009201277,0.0009777388,0.00326305],"category_scores_gemma":[0.001354782,0.0003205433,0.0005145163,0.0003165585,0.0004979301,0.001735828,0.002045265,0.0008962465,0.0006302855],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005106209,"about_ca_system_score_gemma":0.000527348,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006001467,"about_ca_topic_score_gemma":0.008396192,"domain_scores_codex":[0.9995009,0.0002311934,0.00002776694,0.0001250991,0.00007582438,0.00003925817],"domain_scores_gemma":[0.9995528,0.0001655947,0.00003845344,0.0000909114,0.00006510145,0.00008714753],"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":[0.0007944266,0.0007789689,0.007282063,0.0002878337,0.0003951923,0.00158286,0.004006747,0.3114788,0.02880152,0.08748881,0.01996876,0.537134],"study_design_scores_gemma":[0.00004117113,0.0001257605,0.001478988,0.00002916637,0.0000938986,0.0002747994,0.0006360314,0.9406407,0.00373028,0.03228245,0.02063138,0.00003533378],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03989673,0.0006174172,0.9452279,0.0009620069,0.0000908403,0.0001209357,0.00006564419,0.001157652,0.01186085],"genre_scores_gemma":[0.716904,0.0004026016,0.2694023,0.0001730374,0.00006178766,0.0001240675,0.0001171685,0.00009189668,0.01272311],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006001467,"threshold_uncertainty_score":0.01193309,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01742510381062648,"score_gpt":0.2144331485454998,"score_spread":0.1970080447348733,"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."}}