{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003121482,0.0002285908,0.0001184943,0.000267702,0.0002833156,0.0003765618,0.0003301231,0.0002117648,0.001437481],"category_scores_gemma":[0.001208315,0.0001176427,0.0001609658,0.0003072743,0.0002150583,0.0002282375,0.0002202411,0.0001475489,0.0001391611],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007796023,"about_ca_system_score_gemma":0.0006021311,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02540758,"about_ca_topic_score_gemma":0.04197172,"domain_scores_codex":[0.9997725,0.00006339014,0.000009156153,0.00003407768,0.00006482208,0.00005604851],"domain_scores_gemma":[0.9994096,0.0002345099,0.00008918336,0.00004314234,0.0001941612,0.00002935107],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000545526,0.000173886,0.08979152,0.0001278784,0.00008753557,0.0004563507,0.0003072219,0.7574129,0.0903253,0.001246843,0.0007613129,0.05876379],"study_design_scores_gemma":[0.00003484474,0.00110712,0.1298657,0.00002446514,0.0001592546,0.0002213214,0.0009773535,0.8291051,0.03456415,0.0007044207,0.003204414,0.00003190406],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.97022,0.00005129621,0.02290864,0.0000487241,0.000008338598,0.00003467762,0.0001102506,0.000188187,0.006429991],"genre_scores_gemma":[0.99903,0.00001081414,0.0006798113,0.000003766123,5.549107e-7,0.000003135501,0.00001781338,0.0000060827,0.0002479189],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02540758,"threshold_uncertainty_score":0.05051941,"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."}}