{"id":"W4387334823","doi":"10.1504/ijor.2023.133747","title":"Locating a rectangular barrier facility on the plane: a bi-objective approach","year":2023,"lang":"en","type":"article","venue":"International Journal of Operational Research","topic":"Facility Location and Emergency Management","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph; McMaster University","funders":"","keywords":"Expropriation; Minimax; Simulated annealing; Mathematical optimization; Computer science; Integer programming; Facility location problem; Plane (geometry); Integer (computer science); Mathematics; Geometry; Economics","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":[0.001770121,0.001706044,0.002132658,0.002198007,0.0006380678,0.002676727,0.002757543,0.002607868,0.006978931],"category_scores_gemma":[0.002883202,0.001181334,0.001295561,0.002592033,0.001188508,0.001880612,0.00193196,0.001650748,0.0008174843],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001683995,"about_ca_system_score_gemma":0.001695414,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007008426,"about_ca_topic_score_gemma":0.004663235,"domain_scores_codex":[0.9988835,0.000505704,0.00003508551,0.0001772461,0.0002398803,0.000158495],"domain_scores_gemma":[0.9987152,0.0007689965,0.0001919576,0.0000543637,0.0001663688,0.0001032607],"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":[0.00004038016,0.00004567946,0.0002165632,0.0001008918,0.00004557699,0.00005776684,0.00002191704,0.9844612,0.0006940435,0.007351283,0.0002942934,0.006670354],"study_design_scores_gemma":[0.000009127957,0.00005656562,0.00009149951,0.00001433127,0.0000138837,0.00002117181,0.00002468637,0.9965977,0.0002117703,0.00242819,0.0005230394,0.000008034349],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01958936,0.000776722,0.9708579,0.0003923166,0.00005148443,0.0001593011,0.0001890349,0.0001451623,0.00783871],"genre_scores_gemma":[0.4886199,0.001629608,0.4944105,0.000238815,0.00009707644,0.0006710692,0.0002990838,0.0001732827,0.01386055],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007008426,"threshold_uncertainty_score":0.02334684,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1193241824184438,"score_gpt":0.3613085358254388,"score_spread":0.241984353406995,"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."}}