{"id":"W4285414450","doi":"10.2316/j.2022.203-0436","title":"DEVELOPMENT OF SCALED-DOWN HARDWARE PROTOTYPE LABORATORY MODEL OF LONG TRANSMISSION LINE","year":2022,"lang":"en","type":"article","venue":"International Journal of Power and Energy Systems","topic":"Power Systems and Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Transmission line; Electric power transmission; Line (geometry); Transmission (telecommunications); Computer science; Electrical engineering; Computer hardware; Engineering; 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":[0.0003014946,0.0008087878,0.0006001813,0.0002750013,0.0003862845,0.0006808132,0.002528301,0.00063436,0.01486862],"category_scores_gemma":[0.0006469671,0.0003400161,0.00047256,0.0001911739,0.0002861575,0.0008946788,0.0004105176,0.0007385116,0.002433105],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005066164,"about_ca_system_score_gemma":0.0007597307,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001958912,"about_ca_topic_score_gemma":0.001624083,"domain_scores_codex":[0.9997219,0.00006157286,0.00001137952,0.00006332475,0.000112498,0.00002926919],"domain_scores_gemma":[0.9995008,0.0001074642,0.00004483038,0.0001308512,0.0001676356,0.00004852759],"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":[0.00148315,0.001217091,0.007576033,0.001649395,0.0001799732,0.001276275,0.0006971622,0.2905664,0.4981019,0.00934186,0.01564157,0.1722692],"study_design_scores_gemma":[0.0006318968,0.003837877,0.006600133,0.00008007557,0.0001834167,0.0007167938,0.0002346096,0.7076938,0.2346894,0.002391142,0.0428321,0.0001087851],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2240922,0.0002092522,0.7336162,0.0004853223,0.0002807977,0.001084012,0.001326606,0.01552311,0.02338259],"genre_scores_gemma":[0.8662456,0.0001442792,0.1173318,0.0000930723,0.00003222047,0.000752111,0.0009322399,0.0003742658,0.01409448],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01486862,"threshold_uncertainty_score":0.04974049,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009697078488337533,"score_gpt":0.2133138779814185,"score_spread":0.203616799493081,"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."}}