{"id":"W2044596392","doi":"10.1016/s0167-8191(01)00103-x","title":"A dynamic model and parallel tabu search heuristic for real-time ambulance relocation","year":2001,"lang":"en","type":"article","venue":"Parallel Computing","topic":"Facility Location and Emergency Management","field":"Business, Management and Accounting","cited_by":448,"is_retracted":false,"has_abstract":false,"ca_institutions":"HEC Montréal; Université de Montréal","funders":"","keywords":"Tabu search; Relocation; Heuristic; Computer science; Humanities; Operations research; Algorithm; Engineering; Artificial intelligence; Operating system","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006151335,0.0002020579,0.0002226324,0.0001709366,0.0003909376,0.0001871259,0.000218975,0.00005307114,0.00004539514],"category_scores_gemma":[0.00008871558,0.0002150364,0.00006052158,0.0003083761,0.00004718026,0.0003720146,0.0001899386,0.00009442491,0.0002407929],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004973667,"about_ca_system_score_gemma":0.00001833846,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006127539,"about_ca_topic_score_gemma":0.0001521587,"domain_scores_codex":[0.9984885,0.00001401154,0.000381285,0.0004603633,0.0002307593,0.0004250471],"domain_scores_gemma":[0.9993791,0.00004572948,0.0000882089,0.000276449,0.0001854042,0.00002509908],"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":[0.0001101371,0.00009258297,0.002136465,0.0004351547,0.00003275235,0.000002584641,0.0001978886,0.9676148,0.0001801039,0.0166167,0.002803548,0.009777328],"study_design_scores_gemma":[0.0006078483,0.000009497257,0.009826218,0.00003744987,0.00002691451,0.000001335018,0.0001050264,0.9840817,2.446033e-7,0.002602071,0.002454589,0.0002471048],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4509986,0.0001245654,0.5377969,0.002155775,0.000156713,0.0008211658,0.000002345525,0.0003126152,0.007631388],"genre_scores_gemma":[0.9784579,0.0001456814,0.01821441,0.0006077128,0.0001799443,0.00003914623,0.0001136324,0.00003042609,0.002211155],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5274593,"threshold_uncertainty_score":0.876893,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03028316466685818,"score_gpt":0.2720958466523946,"score_spread":0.2418126819855364,"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."}}