{"id":"W4382982862","doi":"10.3390/en16135085","title":"Monitoring Technologies for HVDC Transmission Lines","year":2023,"lang":"en","type":"article","venue":"Energies","topic":"Energy Harvesting in Wireless Networks","field":"Engineering","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba; Manitoba Hydro","funders":"Manitoba Hydro","keywords":"Electric power transmission; HVAC; Transmission (telecommunications); Power transmission; Electrical engineering; Engineering; Transmission system; Computer science; Electric power system; Telecommunications; Power (physics); Mechanical engineering; Air conditioning","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":[0.00008149016,0.0001382256,0.0001327423,0.0001308042,0.00008949431,0.00003442731,0.0001873381,0.0001331523,0.000001748913],"category_scores_gemma":[0.00005200904,0.0001304967,0.0000539534,0.0003518525,0.00003202838,0.00009599698,0.00002933745,0.0001015588,0.00001094143],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000199869,"about_ca_system_score_gemma":0.000005297815,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003659096,"about_ca_topic_score_gemma":0.000001556272,"domain_scores_codex":[0.999324,0.000005129739,0.0001452684,0.000141829,0.00008943709,0.0002943079],"domain_scores_gemma":[0.9995779,0.0001824434,0.00001396235,0.000179614,0.00002322476,0.00002279568],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000002043876,0.000001974091,0.000253019,0.00006628178,0.00001411204,0.000002885322,0.00006881081,0.8605742,0.01851212,0.0004440796,0.002261,0.1177994],"study_design_scores_gemma":[0.0002843559,0.00003225082,0.001186414,0.0003725288,0.00001565303,0.000002577628,0.0004996932,0.3062808,0.5950912,0.001901678,0.09391112,0.0004216741],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9593621,0.004666003,0.01321787,0.0002449338,0.0019016,0.0001278589,0.000004908536,0.01931878,0.001155886],"genre_scores_gemma":[0.9836859,0.002139889,0.0126519,0.000002224746,0.0003696112,0.0001645708,0.00001004254,0.00006858777,0.0009072768],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5765791,"threshold_uncertainty_score":0.5321503,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01770405001072023,"score_gpt":0.2405756514303869,"score_spread":0.2228716014196667,"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."}}