{"meta":{"query_hash":"e9b475deb1a9","filters":{"venue":"2021 International Conference on Control, Automation and Information Sciences (ICCAIS)"},"cohort_total":1,"direct_labels_cover":0,"predictions_cover":1,"exported":1,"export_cap":100000,"truncated":false,"label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12"},"permalink":"https://metacan.xera.ac/q/e9b475deb1a9","api":"https://metacan.xera.ac/api/v1/cohort?venue=2021+International+Conference+on+Control%2C+Automation+and+Information+Sciences+%28ICCAIS%29"},"results":[{"id":"W4200621921","doi":"10.1109/iccais52680.2021.9624524","title":"Non-Intrusive Load Monitoring based Demand Prediction for Smart Meter Attack Detection","year":2021,"lang":"en","type":"article","venue":"2021 International Conference on Control, Automation and Information Sciences (ICCAIS)","topic":"Electricity Theft Detection Techniques","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Smart meter; Smart grid; Support vector machine; Computer science; Electricity; Real-time computing; Energy consumption; Energy (signal processing); Load profile; Electricity meter; Data mining; Engineering; Artificial intelligence","score_opus":0.021506981091440606,"score_gpt":0.271736193876035,"score_spread":0.25022921278459437,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4200621921","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.080477394,0.000033018045,0.8967046,0.0010292333,0.0018979033,0.00060350023,0.00010868075,0.0005139326,0.01863175],"genre_scores_gemma":[0.9972934,0.0001207281,0.0017768664,0.00031395408,0.0001440752,0.00020453353,0.00004529776,0.000009482468,0.00009167284],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984025,0.000040579696,0.00052068476,0.00022354531,0.0005971009,0.00021558418],"domain_scores_gemma":[0.99844867,0.00014589094,0.00017644098,0.00013497217,0.0010177549,0.00007629869],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00064076466,0.0001905802,0.00018815594,0.00041750458,0.00028476125,0.00057230674,0.00017675041,0.00012904278,0.00019630876],"category_scores_gemma":[0.00029827212,0.00019344606,0.00008135497,0.00037759246,0.000067884845,0.0028455765,0.000018655037,0.0001629098,0.000046325422],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000546723,0.00018137811,0.00415679,0.00044106998,0.0005341251,0.000004836966,0.0024183255,0.13578685,0.25801256,0.023460574,0.0036785163,0.57077825],"study_design_scores_gemma":[0.00094029604,0.00014944529,0.002655491,0.00006732708,0.000015709986,0.000008322874,0.00013284541,0.856476,0.13504459,0.00036338848,0.0039786855,0.00016789352],"about_ca_topic_score_codex":0.000010201636,"about_ca_topic_score_gemma":0.000017589027,"teacher_disagreement_score":0.916816,"about_ca_system_score_codex":0.00028077723,"about_ca_system_score_gemma":0.00015003244,"threshold_uncertainty_score":0.7888501},"labels":[],"label_agreement":null}]}