{"id":"W3158807423","doi":"10.1155/2021/6664115","title":"Layout Methods for Integrated Energy Supply Service Stations from the Perspective of Combination Optimization","year":2021,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Science Research of Jiangsu Higher Education Institutions of China; Nanjing Forestry University","keywords":"Energy supply; Computer science; Service (business); Perspective (graphical); Energy (signal processing); Plan (archaeology); Operations research; Rationality; Engineering; Business","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":[0.001042447,0.001338108,0.0009831247,0.001437024,0.0005541787,0.00110508,0.001091455,0.0007612762,0.005525349],"category_scores_gemma":[0.001820444,0.0007908251,0.001595488,0.001942106,0.0006825269,0.001321894,0.001084683,0.001017303,0.0006683631],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001289393,"about_ca_system_score_gemma":0.001448334,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004818349,"about_ca_topic_score_gemma":0.005671963,"domain_scores_codex":[0.9993312,0.0003189343,0.00002488129,0.0001087979,0.0001536356,0.00006253791],"domain_scores_gemma":[0.9994478,0.0002828201,0.0000698645,0.00004394201,0.0001288959,0.00002671315],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003239785,0.00003830163,0.0004779143,0.00009314191,0.00003958791,0.00003723287,0.00007418092,0.9252326,0.001309621,0.0272704,0.00104403,0.04435049],"study_design_scores_gemma":[0.00001310122,0.00004413107,0.0001128983,0.00001014265,0.00001865771,0.00002127818,0.00003518335,0.98563,0.0004212972,0.01109395,0.002588843,0.0000105882],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002630886,0.00008899276,0.9948068,0.00003354625,0.00001228702,0.00003431926,0.00003082949,0.00008666223,0.002275735],"genre_scores_gemma":[0.1855519,0.000584995,0.8082334,0.00005050136,0.00004264492,0.0004008376,0.0002418256,0.0002338319,0.004660019],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005525349,"threshold_uncertainty_score":0.01848412,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005779638938915523,"score_gpt":0.26100106255379,"score_spread":0.2552214236148744,"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."}}