{"id":"W2990060342","doi":"10.18280/i2m.180503","title":"Real-Time False Data Detection in Smart Grid Based on Fuzzy Time Series","year":2019,"lang":"en","type":"article","venue":"Instrumentation Mesure Métrologie","topic":"Smart Grid and Power Systems","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Time series; Computer science; Data mining; Series (stratigraphy); Fuzzy logic; Grid; Real-time computing; Pattern recognition (psychology); Artificial intelligence; Machine learning; Mathematics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009202531,0.0005889951,0.0005144488,0.0004470424,0.000309466,0.0007145923,0.0006449672,0.0004970803,0.0004666003],"category_scores_gemma":[0.003082564,0.0002300391,0.000356351,0.0003159031,0.0005524318,0.001087932,0.0003741903,0.0007748858,0.0001044728],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005556211,"about_ca_system_score_gemma":0.0003972451,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005137052,"about_ca_topic_score_gemma":0.004185111,"domain_scores_codex":[0.999461,0.0001280965,0.00003132813,0.0001211464,0.0002174711,0.00004096927],"domain_scores_gemma":[0.9990257,0.0005205298,0.0001520492,0.00008955138,0.0001876176,0.00002452227],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003713984,0.00006337996,0.006330187,0.0001378675,0.00008064036,0.0004374807,0.0002769982,0.8705436,0.01682949,0.008652211,0.0005981255,0.09567852],"study_design_scores_gemma":[0.000001846581,0.00001764138,0.0004361586,0.000002667669,0.000004350424,0.00003043262,0.000007635879,0.9972035,0.001649757,0.0005644899,0.0000764408,0.000005159643],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1006386,0.0001924349,0.8976123,0.0001325132,0.00005382117,0.00002107237,0.00003357274,0.0004987348,0.0008169229],"genre_scores_gemma":[0.9787577,0.00007323203,0.02062845,0.0000183452,0.000009891295,0.00001383041,0.00002171285,0.00001404818,0.0004627818],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005137052,"threshold_uncertainty_score":0.01021433,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01557424375184343,"score_gpt":0.2428534839327481,"score_spread":0.2272792401809047,"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."}}