{"id":"W3012455495","doi":"10.1287/ijoc.2020.1035","title":"frvcpy: An Open-Source Solver for the Fixed Route Vehicle Charging Problem","year":2021,"lang":"en","type":"article","venue":"INFORMS journal on computing","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"Transport Canada; HEC Montréal","funders":"Agence Nationale de la Recherche","keywords":"Vehicle routing problem; Solver; Computer science; Python (programming language); Electric vehicle; Software; Routing (electronic design automation); Distributed computing; Mathematical optimization; Embedded system; Operating system; Programming language","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":[0.0008152952,0.001469806,0.0009367119,0.0006963707,0.0008196973,0.001379292,0.0028272,0.001928015,0.04107091],"category_scores_gemma":[0.00451012,0.0006921382,0.00166759,0.0008554889,0.0007349209,0.0019134,0.002354453,0.002683236,0.009033298],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009233099,"about_ca_system_score_gemma":0.004303344,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01169242,"about_ca_topic_score_gemma":0.01794464,"domain_scores_codex":[0.9995137,0.00009010892,0.00003263638,0.00008042469,0.0001790557,0.0001040117],"domain_scores_gemma":[0.9990183,0.0005528299,0.00007611749,0.0000938275,0.0001918275,0.00006708408],"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":[0.000207702,0.0002383794,0.003147509,0.001341972,0.0001695165,0.0005199994,0.0002546224,0.5450652,0.004158509,0.07671922,0.204416,0.1637615],"study_design_scores_gemma":[0.0001385302,0.00002836669,0.0003460565,0.00007397977,0.00001631304,0.000130779,0.00006127128,0.9145692,0.002159163,0.02545751,0.05698826,0.00003059717],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.01113901,0.0004631006,0.8879856,0.00100093,0.000463191,0.0002694786,0.005515494,0.0585068,0.03465636],"genre_scores_gemma":[0.115427,0.0007096541,0.8287727,0.0008067435,0.0001410388,0.001043922,0.009831692,0.02279302,0.02047417],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.04107091,"threshold_uncertainty_score":0.1373959,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01375188640262863,"score_gpt":0.2408073629057152,"score_spread":0.2270554765030866,"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."}}