{"id":"W3194188314","doi":"10.1109/icsgrc53186.2021.9515261","title":"A Comparison of Sequential Prediction Algorithms in IoT Enabled Smart Environments","year":2021,"lang":"en","type":"article","venue":"","topic":"Context-Aware Activity Recognition Systems","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Algorithm; Sequence (biology); Event (particle physics); Window (computing); Artificial intelligence; Sliding window protocol; Machine learning; Internet of Things; Data mining","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":[0.001573544,0.0009739868,0.0009022523,0.001237062,0.0005063564,0.0006385061,0.001084484,0.0006061167,0.0009023551],"category_scores_gemma":[0.005138324,0.0002197274,0.0004418851,0.001374676,0.0002634259,0.001856633,0.0006031776,0.0006309764,0.0002916927],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006860259,"about_ca_system_score_gemma":0.001480162,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01085461,"about_ca_topic_score_gemma":0.007557285,"domain_scores_codex":[0.9991035,0.0001410879,0.00009297173,0.0002222958,0.0003326097,0.0001074182],"domain_scores_gemma":[0.9976099,0.001195243,0.0001635355,0.0003028147,0.0006096048,0.0001189829],"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":[0.001567548,0.0004235903,0.02205736,0.0002805353,0.0001956669,0.0001697213,0.0001751683,0.3752319,0.006909168,0.003766116,0.004975331,0.5842479],"study_design_scores_gemma":[0.00002842769,0.0001898009,0.003821171,0.00001248405,0.00003179445,0.00007617089,0.00007013679,0.9891781,0.00394419,0.00150498,0.001126712,0.00001600286],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.551231,0.003545355,0.4313055,0.0005075352,0.000335824,0.0002275424,0.001355783,0.006226471,0.005265009],"genre_scores_gemma":[0.8557693,0.0008651308,0.1402292,0.00006462414,0.00004624575,0.00009508905,0.001900234,0.00007661999,0.0009535448],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01085461,"threshold_uncertainty_score":0.02158284,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05124325204646252,"score_gpt":0.2994713179629332,"score_spread":0.2482280659164707,"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."}}