{"id":"W2042557607","doi":"10.1016/j.ejor.2008.08.015","title":"Location with acceleration–deceleration distance","year":2008,"lang":"en","type":"article","venue":"European Journal of Operational Research","topic":"Transportation Planning and Optimization","field":"Social Sciences","cited_by":22,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Acceleration; Heuristic; Point (geometry); Mathematical optimization; Travel time; Mathematics; Zero (linguistics); Computer science; Algorithm; Geometry; Physics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001170252,0.001172617,0.0009391691,0.002642849,0.0004334984,0.002121386,0.001387005,0.001597267,0.01014017],"category_scores_gemma":[0.01456586,0.0005806806,0.0008530571,0.004531722,0.001084451,0.003656416,0.002202253,0.001116179,0.003469993],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007876464,"about_ca_system_score_gemma":0.0004633423,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002621116,"about_ca_topic_score_gemma":0.002172995,"domain_scores_codex":[0.9981236,0.0006158242,0.0001362049,0.0006388843,0.000316935,0.0001684459],"domain_scores_gemma":[0.9910517,0.004653383,0.001595591,0.001239851,0.001222269,0.0002371356],"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":[0.0004388784,0.00007748102,0.0399394,0.0004644613,0.0001888397,0.0006306081,0.0002251366,0.7910873,0.003005734,0.07145623,0.006007067,0.08647873],"study_design_scores_gemma":[0.00003575553,0.0001985599,0.01383817,0.00007548266,0.0001386786,0.001385703,0.0001904634,0.9157887,0.001970572,0.05855101,0.007708205,0.0001187055],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1412104,0.002372321,0.8300611,0.001308454,0.0004822454,0.0001276874,0.003856698,0.0008804305,0.01970063],"genre_scores_gemma":[0.9310584,0.0006665714,0.05452814,0.00006839295,0.0002461068,0.0001005988,0.0008915275,0.00008317268,0.01235701],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01014017,"threshold_uncertainty_score":0.03392226,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1353533354940566,"score_gpt":0.3832338794795769,"score_spread":0.2478805439855203,"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."}}