{"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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.003577602,0.00006361675,0.00008662249,0.0002089523,0.001418971,0.0001642506,0.0002073341,0.00002105394,0.0001827883],"category_scores_gemma":[0.0004760002,0.00005286849,0.00002485525,0.0006366614,0.0002859281,0.0008651714,0.000005268822,0.0002803775,0.0000562008],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001018325,"about_ca_system_score_gemma":0.0009928438,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002929567,"about_ca_topic_score_gemma":0.0001002985,"domain_scores_codex":[0.9968717,0.001073907,0.0003540471,0.000117776,0.00140268,0.0001799305],"domain_scores_gemma":[0.9961568,0.0001691309,0.0001353915,0.0000812401,0.003328074,0.0001294292],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.001539589,0.000822161,0.07199116,0.00005616949,0.0001565146,0.001069314,0.1237808,0.4753983,0.002137466,0.2460966,0.06585012,0.01110185],"study_design_scores_gemma":[0.003978183,0.0017673,0.5257623,0.0004742781,0.00003048415,0.0002682946,0.009316118,0.003919577,0.001131825,0.0003780258,0.45232,0.0006536011],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4666065,0.0005236702,0.4222776,0.01148792,0.0003643963,0.0004670575,0.000006288267,0.0000576102,0.09820901],"genre_scores_gemma":[0.9894214,0.0002229791,0.006912765,0.00009637794,0.0005273589,0.000002280286,0.00002427886,0.00001323798,0.002779308],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5228149,"threshold_uncertainty_score":0.999881,"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."}}