{"id":"W4398144486","doi":"10.54254/2755-2721/62/20240450","title":"Comprehensive analysis on three-phase imbalance management technology of low-voltage distribution network","year":2024,"lang":"en","type":"article","venue":"Applied and Computational Engineering","topic":"Power Systems and Technologies","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"La Cité Collégiale","funders":"","keywords":"Renewable energy; Wind power; Power electronics; Environmental economics; Automotive engineering; Reliability (semiconductor); Electronics; Power (physics); Three-phase; Greenhouse gas; Electrical engineering; Engineering; Reliability engineering; Environmental science; Voltage; Economics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002108505,0.0004461463,0.0002760889,0.001341435,0.0004160889,0.0009465312,0.0003153094,0.0002256236,0.002564459],"category_scores_gemma":[0.0004642224,0.0001388606,0.0003736787,0.001274144,0.0002036012,0.001602869,0.0001987367,0.0002287421,0.0003121694],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008356948,"about_ca_system_score_gemma":0.0004772789,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003187445,"about_ca_topic_score_gemma":0.001873599,"domain_scores_codex":[0.9997882,0.00002406967,0.000008235392,0.00003499239,0.0001192552,0.00002523067],"domain_scores_gemma":[0.9998174,0.00003821987,0.00002909964,0.00001077988,0.00009518984,0.000009332034],"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":[0.0001974474,0.0001151267,0.01433775,0.0007257661,0.0001053293,0.0005688352,0.0002821514,0.4665804,0.03203692,0.09676678,0.005780739,0.3825028],"study_design_scores_gemma":[0.000008503205,0.0001031492,0.008423515,0.00006434543,0.00008474987,0.0003632286,0.0001433745,0.9364564,0.007353878,0.033104,0.01386556,0.00002932396],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1606125,0.008592186,0.7600859,0.0005848781,0.0001167143,0.000130713,0.000273208,0.000643062,0.06896092],"genre_scores_gemma":[0.9669566,0.006569076,0.01717321,0.00004366122,0.00007143494,0.00004305628,0.0003192291,0.00003578022,0.008788002],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003187445,"threshold_uncertainty_score":0.008578956,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003674262948280095,"score_gpt":0.1992912768861542,"score_spread":0.1956170139378741,"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."}}