{"id":"W4296061785","doi":"10.5267/j.jfs.2022.9.002","title":"A robust linear model for the maximum expected coverage location problem considering the relative coverage","year":2022,"lang":"en","type":"article","venue":"Journal of Future Sustainability","topic":"Facility Location and Emergency Management","field":"Business, Management and Accounting","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Douglas College","funders":"","keywords":"Location model; Computer science; Transfer (computing); Quality (philosophy); Key (lock); Operations research; Order (exchange); Facility location problem; Robust optimization; Mathematical optimization; Mathematics; Computer security; Business","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":[0.002586607,0.0001799739,0.0002208174,0.0001313719,0.001225296,0.0001422455,0.000476578,0.00004126007,0.0001836655],"category_scores_gemma":[0.0007774954,0.0001124891,0.0002294963,0.0006597738,0.00008248775,0.000887958,0.0002796774,0.0005000569,0.000002190733],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005043707,"about_ca_system_score_gemma":0.0002706875,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000156275,"about_ca_topic_score_gemma":0.0001310445,"domain_scores_codex":[0.9982384,0.00008460441,0.0006529991,0.000220549,0.0005300666,0.0002733435],"domain_scores_gemma":[0.9972638,0.000161175,0.0004666583,0.000393474,0.001698502,0.00001641726],"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":[0.0003202942,0.0001523671,0.0007061322,0.0003230359,0.00009604517,0.000003648047,0.001712148,0.9589428,0.000003625621,0.02507247,0.01012004,0.002547436],"study_design_scores_gemma":[0.001026058,0.00006080874,0.002623021,0.00001047914,0.0001803878,0.000006455366,0.02558927,0.6916345,0.00000196363,0.07004983,0.208613,0.0002042141],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1006958,0.0007605105,0.7751477,0.1175407,0.001643999,0.003319405,0.00001537013,0.00007472203,0.0008017957],"genre_scores_gemma":[0.996209,0.00002463448,0.0004345173,0.001716643,0.0009276172,0.000161385,0.00001161952,0.0000181745,0.0004964094],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8955132,"threshold_uncertainty_score":0.9424112,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02639910921996168,"score_gpt":0.242938041973549,"score_spread":0.2165389327535873,"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."}}