{"id":"W2993111363","doi":"10.31474/2074-2630-2019-1-64-69","title":"Comparison of technological losses of 6 (10) kV and 20 kV electrical network.","year":2019,"lang":"en","type":"article","venue":"Journal of Electrical and power engineering","topic":"Environmental and Industrial Safety","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Electricity; Economic shortage; Environmental economics; Commission; Business; Electric potential energy; Order (exchange); Distribution (mathematics); Reliability (semiconductor); Electric power; Commerce; Power (physics); Industrial organization; Economics; Electrical engineering; Engineering; Finance","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0004384316,0.0002510379,0.0001727131,0.00241553,0.0002755212,0.0006468546,0.0003479017,0.0002893429,0.004020567],"category_scores_gemma":[0.00177841,0.00007831987,0.000222173,0.002313201,0.0002040758,0.001088221,0.0003702438,0.0002460151,0.001034635],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009607794,"about_ca_system_score_gemma":0.0002245031,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004842881,"about_ca_topic_score_gemma":0.005461232,"domain_scores_codex":[0.9996197,0.00004506188,0.00002067542,0.00005202115,0.0001907564,0.00007170811],"domain_scores_gemma":[0.9981132,0.0004530994,0.0003362033,0.00008777188,0.0009154087,0.00009431235],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003244369,0.0003324617,0.4246097,0.0008180168,0.000370752,0.00359823,0.001345203,0.1772379,0.01985103,0.01711014,0.04506351,0.3064187],"study_design_scores_gemma":[0.00002993674,0.0004290192,0.8962599,0.00009511346,0.0001331006,0.002086819,0.002005794,0.04715952,0.008582479,0.003584858,0.03958545,0.00004810976],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.947605,0.001702805,0.003555902,0.0002505133,0.0001170665,0.00003176695,0.005346054,0.0002615213,0.04112943],"genre_scores_gemma":[0.9918934,0.000381402,0.000389877,0.00002206804,0.0000177203,0.00001081048,0.003243375,0.00003298467,0.004008374],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004842881,"threshold_uncertainty_score":0.01345015,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007566969103573982,"score_gpt":0.2140829096597519,"score_spread":0.2065159405561779,"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."}}