{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002531738,0.00009562407,0.0002538614,0.0001070657,0.00003216103,0.00005030657,0.0002309398,0.0000687202,0.0001456342],"category_scores_gemma":[0.00002831827,0.0001014377,0.00005965652,0.000331256,0.00002332249,0.0002891448,0.0002003162,0.0001106718,0.00006013436],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000894042,"about_ca_system_score_gemma":0.00007524996,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00017894,"about_ca_topic_score_gemma":0.0001760392,"domain_scores_codex":[0.9985645,0.0001798135,0.000407818,0.0003404029,0.0003338991,0.0001736091],"domain_scores_gemma":[0.9993533,0.00008046743,0.0001155857,0.0003567524,0.00003952417,0.00005431487],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00003656665,0.002796029,0.3772368,0.0001106426,0.0001949388,0.0001283795,0.004938378,0.0007013495,0.2549008,0.001810915,0.001978478,0.3551668],"study_design_scores_gemma":[0.002558894,0.0001990964,0.08932569,0.0001322868,0.00001811495,0.00008137849,0.0006311479,0.3891467,0.5030915,0.000469595,0.01395965,0.0003859211],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2094953,0.00008079594,0.7852358,0.0002089675,0.0006505574,0.0002117912,0.000009171736,0.00007297397,0.004034678],"genre_scores_gemma":[0.9930806,0.000003800916,0.005824888,0.00004612145,0.00003387099,0.00001996927,0.000009694291,0.000005261106,0.0009757488],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7835854,"threshold_uncertainty_score":0.413651,"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."}}