{"id":"W2959996238","doi":"10.5006/c2018-11231","title":"Effects of Seasonal Variation on AC Interference and Mitigation Design","year":2018,"lang":"en","type":"article","venue":"","topic":"Power Line Communications and Noise","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"TransCanada (Canada); Stantec (Canada); Cochrane","funders":"","keywords":"Interference (communication); Seasonality; Environmental science; Variation (astronomy); Electromagnetic interference; Automotive engineering; Computer science; Electrical engineering; Engineering; Physics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005574436,0.00003473575,0.00003774704,0.00002633207,0.00001586523,0.000006061043,0.00004626162,0.00001917754,0.00001895844],"category_scores_gemma":[0.00002894261,0.00003127453,0.000006022135,0.00004625997,0.0000177717,0.00004838628,0.00001188982,0.00002776436,0.00001048902],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007938666,"about_ca_system_score_gemma":0.000003795707,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003114189,"about_ca_topic_score_gemma":0.000001940425,"domain_scores_codex":[0.9998218,0.00001848755,0.00005523301,0.00003739148,0.00002957447,0.00003753942],"domain_scores_gemma":[0.9997363,0.0001181649,0.000009593955,0.00009325649,0.00002656744,0.00001608205],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00009737295,0.0001922901,0.001119077,0.0003247981,0.0001193387,6.976849e-7,0.00307107,0.001516561,0.8428299,0.04872102,0.004971786,0.0970361],"study_design_scores_gemma":[0.0003615381,0.0002783395,0.1005061,0.0001148463,0.00001554353,9.01674e-7,0.000009338212,0.3615513,0.534916,0.001800691,0.0003266573,0.0001186848],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5010486,0.00009505938,0.4944358,0.00004488532,0.00008202385,0.0000995118,8.645098e-7,0.00006954952,0.004123736],"genre_scores_gemma":[0.9917563,0.00003418213,0.00812792,0.00001595579,0.00001900675,0.00000576487,0.000001319587,0.000003915842,0.00003566541],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4907077,"threshold_uncertainty_score":0.1275338,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01063812665244799,"score_gpt":0.2236295331151842,"score_spread":0.2129914064627362,"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."}}