{"id":"W2065774470","doi":"10.1016/j.epsr.2008.06.019","title":"On the appropriate monitoring period for voltage flicker measurement in the presence of distributed generation","year":2008,"lang":"en","type":"article","venue":"Electric Power Systems Research","topic":"Power Quality and Harmonics","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"Dalhousie University","funders":"Killam Trusts; Dalhousie University","keywords":"Flicker; Voltage; Period (music); Distributed generation; Electrical engineering; Environmental science; Remote sensing; Computer science; Engineering; Acoustics; Physics; Geology; Renewable energy","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005413134,0.0001193577,0.000173293,0.0001594699,0.0002682075,0.00006623754,0.0004762307,0.00008211864,0.000003638756],"category_scores_gemma":[0.0007226315,0.00007504217,0.00005567532,0.0008368086,0.00004527955,0.00007251594,0.00002309852,0.0004875582,0.00001028344],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002800615,"about_ca_system_score_gemma":0.0001026894,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009469177,"about_ca_topic_score_gemma":0.000008459291,"domain_scores_codex":[0.9972336,0.0004443055,0.0003423412,0.000184283,0.001294569,0.0005008825],"domain_scores_gemma":[0.9987165,0.0004669433,0.00003745451,0.0004368318,0.0003029591,0.00003936649],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004229251,0.0009218088,0.001679069,0.001285147,0.0004999582,0.0000813673,0.04678119,0.05753753,0.7552379,0.04542612,0.08811796,0.002008994],"study_design_scores_gemma":[0.002267871,0.001226567,0.01011862,0.0005369551,0.00002519268,0.00007152223,0.003842993,0.7397951,0.1979844,0.0007749547,0.04248539,0.00087033],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9421034,0.004927373,0.04859308,0.000325475,0.0006822581,0.002457262,0.00003243055,0.00006625626,0.0008124496],"genre_scores_gemma":[0.9991431,0.0001299852,0.000008765697,0.000003961358,0.000114128,0.0005087763,0.000005032134,0.00001841626,0.00006780555],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6822577,"threshold_uncertainty_score":0.3060131,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.188444635757904,"score_gpt":0.3254771763935617,"score_spread":0.1370325406356576,"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."}}