{"id":"W2117900685","doi":"10.1016/j.cie.2014.06.012","title":"A hybrid artificial bee colony for disruption in a hierarchical maximal covering location problem","year":2014,"lang":"en","type":"article","venue":"Computers & Industrial Engineering","topic":"Facility Location and Emergency Management","field":"Business, Management and Accounting","cited_by":41,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"","keywords":"Facility location problem; Artificial bee colony algorithm; Location model; 1-center problem; Computer science; Mathematical optimization; Hierarchy; Work (physics); Operations research; Engineering; Mathematics; Artificial intelligence","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":[0.0004755433,0.0004203187,0.0008112917,0.0004131394,0.0004241362,0.0006892919,0.001229178,0.001233239,0.001600579],"category_scores_gemma":[0.00155444,0.0003673801,0.0005001671,0.0005177156,0.000404276,0.0006536411,0.0009657683,0.0005653912,0.0001263036],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004895588,"about_ca_system_score_gemma":0.0005759743,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004043658,"about_ca_topic_score_gemma":0.002968847,"domain_scores_codex":[0.9997314,0.0001046609,0.00001270865,0.00004268869,0.0000599938,0.00004852306],"domain_scores_gemma":[0.999506,0.0002982608,0.00004515638,0.00004026078,0.00006214163,0.00004812816],"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":[0.00006417999,0.00004185658,0.0004179007,0.00003587938,0.00003042745,0.00007205257,0.00003551956,0.9770923,0.001647139,0.002542929,0.000637731,0.01738206],"study_design_scores_gemma":[0.000007412893,0.00001916519,0.0000447137,0.000001817802,0.00000421987,0.00001090438,0.00000655849,0.9991245,0.0001076833,0.0005424335,0.0001290345,0.000001526947],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1914503,0.000668003,0.7991524,0.0004633816,0.00009925655,0.0001270872,0.00009811253,0.0002973657,0.007644132],"genre_scores_gemma":[0.862228,0.0001347442,0.1346047,0.00008321561,0.00002988329,0.00009526551,0.00008820128,0.00003622283,0.00269963],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004043658,"threshold_uncertainty_score":0.008040249,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03214533135132813,"score_gpt":0.2204754786590918,"score_spread":0.1883301473077637,"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."}}