{"id":"W7117457302","doi":"10.1145/3714394.3756201","title":"Identifying Routine from Sequences of Activities of Daily Living in Smart-homes","year":2025,"lang":"","type":"article","venue":"","topic":"Context-Aware Activity Recognition Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Context (archaeology); Identification (biology); Task (project management); Embedding; Sequence (biology); Representation (politics); Focus (optics); Context model","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":[0.0002867051,0.0007396463,0.0004350292,0.0009673803,0.0001453979,0.0004027274,0.0004450262,0.0004996096,0.0009806528],"category_scores_gemma":[0.001659846,0.0001341859,0.0004724694,0.0007616742,0.0001900908,0.0007808562,0.0004564081,0.0005183247,0.0008615805],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002289114,"about_ca_system_score_gemma":0.0003075539,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006370527,"about_ca_topic_score_gemma":0.01597477,"domain_scores_codex":[0.9997883,0.00004845109,0.00001496172,0.00009067979,0.00002909044,0.00002839608],"domain_scores_gemma":[0.9996064,0.0001526121,0.00005866706,0.00007725404,0.000068958,0.00003614821],"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":[0.001860129,0.0007793746,0.2583235,0.001012222,0.0003853811,0.001080004,0.0009231007,0.1612518,0.01839514,0.001831536,0.0177154,0.5364423],"study_design_scores_gemma":[0.0000477044,0.0005384599,0.208625,0.0002028051,0.0001186447,0.001017966,0.001121369,0.7598856,0.012179,0.006297588,0.009892051,0.00007388602],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8988809,0.001378465,0.08404994,0.0003388785,0.0001224226,0.00008767562,0.01020972,0.002317216,0.002614822],"genre_scores_gemma":[0.9512728,0.000565074,0.02981737,0.00007724018,0.00004304876,0.00007293646,0.01661724,0.00004953139,0.001484772],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006370527,"threshold_uncertainty_score":0.01266688,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03867154525164113,"score_gpt":0.2913733172462781,"score_spread":0.2527017719946369,"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."}}