{"id":"W4399620754","doi":"10.1109/iraset60544.2024.10548344","title":"Context-Aware Home System Prototype with Sensors Management","year":2024,"lang":"en","type":"article","venue":"","topic":"Context-Aware Activity Recognition Systems","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Sheridan College","funders":"","keywords":"Computer science; Context (archaeology); Context management; Human–computer interaction; Ubiquitous computing","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":[0.0003749879,0.000482503,0.0004631061,0.0003114616,0.0003173405,0.0006830146,0.001356516,0.0005321294,0.009648677],"category_scores_gemma":[0.0007182977,0.0002405685,0.0002023143,0.0001726588,0.0001903601,0.0008638836,0.0005860321,0.0005594986,0.002065561],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002627511,"about_ca_system_score_gemma":0.000475645,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001909066,"about_ca_topic_score_gemma":0.001891772,"domain_scores_codex":[0.9996318,0.00005172575,0.00003388358,0.0001184674,0.0001295655,0.00003467322],"domain_scores_gemma":[0.9997496,0.00005177637,0.00001396501,0.00005224848,0.00008674111,0.00004562569],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002247922,0.002443332,0.01061563,0.001736243,0.0002783166,0.003818352,0.003134091,0.01827698,0.272188,0.009193098,0.0928574,0.5832107],"study_design_scores_gemma":[0.001025091,0.003773727,0.02605391,0.000306587,0.0003951803,0.00542614,0.001208436,0.3085109,0.2732343,0.004648098,0.3750504,0.0003673017],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2227195,0.00110934,0.5679722,0.001347805,0.0008132609,0.004592881,0.003636002,0.1388389,0.05897008],"genre_scores_gemma":[0.7686754,0.0004068002,0.1920173,0.0009367284,0.0001219576,0.001904912,0.002325502,0.0008336394,0.03277767],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009648677,"threshold_uncertainty_score":0.03227806,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01406404895767667,"score_gpt":0.2242451267285543,"score_spread":0.2101810777708776,"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."}}