{"id":"W3045889046","doi":"10.3390/app10155125","title":"Assessment of the Impact of Electric Vehicles on the Design and Effectiveness of Electric Distribution Grid with Distributed Generation","year":2020,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":46,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Grid; Distribution grid; Distributed generation; Computer science; Software; Reliability engineering; Automotive engineering; Engineering; Electrical engineering; Renewable energy","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":[0.0003981929,0.00009989123,0.0001580072,0.00002677906,0.00009767457,0.00001606626,0.0001789455,0.00003389322,0.000002169188],"category_scores_gemma":[0.00002196043,0.00004682369,0.00003401814,0.001323947,0.00009679171,0.0000435125,0.00001329207,0.0001132366,7.08409e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000450965,"about_ca_system_score_gemma":0.00008479494,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000130226,"about_ca_topic_score_gemma":3.185333e-7,"domain_scores_codex":[0.9992726,0.00008086027,0.0001459928,0.0001268526,0.000236429,0.0001372394],"domain_scores_gemma":[0.9995138,0.0002355437,0.00009529036,0.00009118301,0.0000395148,0.00002469284],"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":[0.00002133075,0.00001086342,0.003884783,0.00002658655,0.00002611148,4.74167e-8,0.0000256741,0.2118342,0.7793952,0.003850401,0.00007351422,0.000851377],"study_design_scores_gemma":[0.0001144718,0.0004083171,0.2323222,0.00001012353,0.0000127104,7.955144e-7,0.000009065113,0.2216542,0.5452143,0.0002087211,9.399715e-7,0.00004420608],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9522906,0.00008074888,0.04714401,0.00003239385,0.00001037761,0.0003384223,0.00001908654,0.00001285727,0.00007148847],"genre_scores_gemma":[0.9997914,0.00002177498,0.0001362639,0.000005933005,0.0000194761,0.00001345818,0.000007021864,0.000004571672,6.547226e-8],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2341808,"threshold_uncertainty_score":0.1909415,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01127158894786722,"score_gpt":0.2266587355923617,"score_spread":0.2153871466444945,"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."}}