{"id":"W4380149198","doi":"10.1016/j.cor.2023.106296","title":"A trajectory based heuristic for the planar <mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\" altimg=\"si270.svg\" display=\"inline\" id=\"d1e2918\"><mml:mi>p</mml:mi></mml:math>-median problem","year":2023,"lang":"en","type":"article","venue":"Computers & Operations Research","topic":"Facility Location and Emergency Management","field":"Business, Management and Accounting","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"Royal Military College of Canada; Royal Ottawa Mental Health Centre","funders":"","keywords":"Trajectory; Planar; Heuristic; Class (philosophy); Mathematics; Fraction (chemistry); Algorithm; Local optimum; Computer science; Applied mathematics; Combinatorics; Mathematical optimization; Artificial intelligence; Computer graphics (images); Physics","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":[0.001140185,0.001289036,0.001800389,0.002137267,0.001481978,0.001618268,0.002683308,0.00259984,0.02117866],"category_scores_gemma":[0.003814559,0.0008115291,0.001307846,0.00220282,0.001012248,0.002645609,0.001988084,0.001784684,0.001936821],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002368068,"about_ca_system_score_gemma":0.003787416,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01542646,"about_ca_topic_score_gemma":0.01787727,"domain_scores_codex":[0.9993314,0.0001888869,0.00003247467,0.0001665718,0.0001190035,0.000161736],"domain_scores_gemma":[0.9982367,0.001097394,0.0001347033,0.0001171866,0.0002172294,0.0001968427],"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":[0.0004622972,0.0003561621,0.0008655512,0.0002271077,0.00007504274,0.0001628467,0.0001126719,0.8293147,0.0009855895,0.03918206,0.02033808,0.1079178],"study_design_scores_gemma":[0.0000937505,0.00009184528,0.000151854,0.00003211987,0.00001578705,0.00003527788,0.00007044978,0.976365,0.0004527317,0.02034222,0.00233425,0.00001462691],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03562785,0.0005259032,0.943801,0.0009532369,0.0001762832,0.0003793526,0.000877131,0.001387653,0.01627165],"genre_scores_gemma":[0.2538001,0.0004114628,0.727524,0.0003325258,0.00009939437,0.0004754712,0.002523436,0.0006060598,0.01422754],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02117866,"threshold_uncertainty_score":0.07084966,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05425483446121365,"score_gpt":0.2958781782577447,"score_spread":0.241623343796531,"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."}}