{"id":"W3208350171","doi":"10.1109/access.2021.3122098","title":"Context-Aware Recommendation Systems in the IoT Environment (IoT-CARS)–A Comprehensive Overview","year":2021,"lang":"en","type":"article","venue":"IEEE Access","topic":"Recommender Systems and Techniques","field":"Computer Science","cited_by":53,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"Ryerson University","keywords":"Computer science; Context (archaeology); Internet of Things; Recommender system; Context model; Context awareness; Ubiquitous computing; Data science; World Wide Web; Human–computer interaction; Artificial intelligence","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":[0.001421898,0.0008148382,0.001250735,0.001555083,0.0008123171,0.002069857,0.00145789,0.001910528,0.001185621],"category_scores_gemma":[0.00230294,0.0006315879,0.001125637,0.003247178,0.0002956751,0.003148867,0.0009231133,0.001314035,0.000999277],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008217033,"about_ca_system_score_gemma":0.0008308657,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01215771,"about_ca_topic_score_gemma":0.008997517,"domain_scores_codex":[0.9985625,0.0002755487,0.0002019211,0.0002984738,0.0005508764,0.0001107231],"domain_scores_gemma":[0.9988003,0.0004707317,0.0001014552,0.000137617,0.0004313843,0.00005857772],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001615952,0.0002612721,0.008320117,0.004081826,0.0005990338,0.0004337366,0.000473086,0.03579679,0.006370881,0.02493109,0.01679566,0.9017749],"study_design_scores_gemma":[0.00007406457,0.001056847,0.02562921,0.003208426,0.001530472,0.003975827,0.001239469,0.4247789,0.01233044,0.03179578,0.4938124,0.000568152],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0308844,0.5920394,0.3486559,0.00240455,0.0009922857,0.0005345328,0.0005964651,0.001551063,0.02234136],"genre_scores_gemma":[0.2940868,0.4000662,0.2934126,0.0009074315,0.001810615,0.0003929407,0.001204413,0.0001009756,0.008018089],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.01215771,"threshold_uncertainty_score":0.02417386,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1227455152735246,"score_gpt":0.335108337076764,"score_spread":0.2123628218032394,"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."}}