{"id":"W3100936058","doi":"10.5267/j.ijiec.2020.9.002","title":"The capacitated maximal covering location problem with heterogeneous facilities and vehicles and different setup costs: An effective heuristic approach","year":2020,"lang":"en","type":"article","venue":"International Journal of Industrial Engineering Computations","topic":"Facility Location and Emergency Management","field":"Business, Management and Accounting","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mathematical optimization; Heuristic; Genetic algorithm; Constructive; Integer programming; Set (abstract data type); Computer science; Facility location problem; Linear programming; Mathematics; Process (computing)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000161888,0.0001229587,0.0001244647,0.000117579,0.0001208225,0.0003656817,0.0001520499,0.00003051249,0.000003403828],"category_scores_gemma":[0.0001656478,0.00009069859,0.00002339191,0.0001408109,0.00005024223,0.000465808,0.00005771387,0.0001720275,0.000001368317],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006234292,"about_ca_system_score_gemma":0.00001493085,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001307123,"about_ca_topic_score_gemma":0.00001977905,"domain_scores_codex":[0.999186,0.00001666343,0.0002959961,0.0001248687,0.0002757238,0.0001007745],"domain_scores_gemma":[0.9993572,0.00007497662,0.0001201746,0.00004412335,0.000369729,0.00003376433],"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":[0.0002155375,0.00005868875,0.001886185,0.00007641831,0.0002698364,0.000007961604,0.0005116661,0.9724255,0.0001127441,0.005362344,0.0001232539,0.01894988],"study_design_scores_gemma":[0.001472808,0.0001460244,0.007058339,0.0001073778,0.00006588598,0.000033102,0.001068757,0.9866886,0.00003683968,0.0002029743,0.002926217,0.00019305],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9263345,0.00009888852,0.0710959,0.001738505,0.0003233509,0.0002915012,0.000009664855,0.0000432127,0.00006450476],"genre_scores_gemma":[0.9990978,0.0000147632,0.0003808821,0.0001033999,0.0003537064,0.0000123509,0.00002169544,0.00001009135,0.000005295256],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07276335,"threshold_uncertainty_score":0.3698581,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02410708849223421,"score_gpt":0.2112294501919565,"score_spread":0.1871223616997223,"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."}}