{"id":"W4205619198","doi":"10.1109/smc52423.2021.9658762","title":"Charging Pile Siting with Group Multirole Assignment","year":2021,"lang":"en","type":"article","venue":"2021 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","topic":"Transportation and Mobility Innovations","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Research and Development; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Integer programming; Computer science; Mathematical optimization; IBM; Process (computing); Cluster analysis; Pile; Assignment problem; Algorithm; Mathematics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.001220649,0.001168643,0.001190599,0.0007845164,0.001720131,0.001320193,0.002848354,0.001507983,0.008820659],"category_scores_gemma":[0.002332414,0.0003982231,0.0013096,0.001324587,0.0009057719,0.002359726,0.002250854,0.001211732,0.001706738],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009207715,"about_ca_system_score_gemma":0.00129363,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00214668,"about_ca_topic_score_gemma":0.002217267,"domain_scores_codex":[0.9980873,0.0008296838,0.00008044138,0.0003450019,0.0003862059,0.0002713144],"domain_scores_gemma":[0.9990446,0.0002749588,0.0001413116,0.0002382013,0.0001427277,0.0001582399],"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":[0.000465822,0.0004912051,0.001186371,0.0004651047,0.00008639709,0.0006811645,0.0006033516,0.6528515,0.01302709,0.09769852,0.007555891,0.2248876],"study_design_scores_gemma":[0.00003393212,0.0001705239,0.0001878665,0.0000170042,0.00002045252,0.000280627,0.0002217674,0.9648616,0.003332317,0.02372591,0.007110013,0.00003801645],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01494579,0.0001020041,0.9771617,0.0001626973,0.0001033611,0.0002143034,0.00004920468,0.0003734311,0.006887492],"genre_scores_gemma":[0.5937207,0.0001542649,0.3972923,0.0001212172,0.00006027414,0.0002901536,0.0001473261,0.0001255429,0.008088276],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008820659,"threshold_uncertainty_score":0.02950799,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03330388408788378,"score_gpt":0.2501901607591624,"score_spread":0.2168862766712786,"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."}}