{"id":"W2155870562","doi":"10.5006/c2010-10107","title":"Measurements of Higher Harmonics in AC Interference on Pipelines","year":2010,"lang":"en","type":"article","venue":"","topic":"Power Quality and Harmonics","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Research Manitoba; Natural Resources Canada","funders":"","keywords":"Harmonics; Interference (communication); Pipeline transport; Materials science; Electromagnetic interference; Harmonic analysis; Electrical engineering; Electronic engineering; Acoustics; Engineering; Physics; Mechanical engineering; Voltage; Channel (broadcasting)","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0001615407,0.00007763197,0.0001076034,0.00005527845,0.000006188414,0.000007655793,0.0001396103,0.00006508163,0.000306007],"category_scores_gemma":[0.00002225297,0.00007001637,0.00002398996,0.00007742432,0.00001592668,0.00005409622,0.00001700627,0.0002197974,0.00005487502],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001541092,"about_ca_system_score_gemma":0.000008750232,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002785802,"about_ca_topic_score_gemma":0.0002940585,"domain_scores_codex":[0.9994937,0.000008777301,0.0001874477,0.00007783136,0.0001107616,0.000121551],"domain_scores_gemma":[0.9997415,0.00002115608,0.00001179823,0.0001685881,0.00002598303,0.00003099092],"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":[0.00009423577,0.0005056386,0.02288483,0.0003341431,0.0001012705,0.00000687059,0.001930715,0.006910304,0.9206669,0.01339691,0.01117228,0.02199589],"study_design_scores_gemma":[0.001000504,0.00008290417,0.03136678,0.0001125696,0.00001195288,9.202229e-7,0.00004885885,0.01696206,0.937187,0.001073145,0.01172992,0.0004233564],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9550893,0.00007377717,0.000700506,0.0001380302,0.001108717,0.00007239832,0.000003859174,0.0001166006,0.04269683],"genre_scores_gemma":[0.9987186,0.00001300676,0.0007922607,0.0000813936,0.00002334737,0.000003125164,0.000001332476,0.000009869415,0.0003570351],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04362934,"threshold_uncertainty_score":0.3350562,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07645582145947602,"score_gpt":0.2886080491389153,"score_spread":0.2121522276794393,"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."}}