{"id":"W2046593695","doi":"10.1007/s10479-014-1726-z","title":"Maximizing the minimum cover probability by emergency facilities","year":2014,"lang":"en","type":"article","venue":"Annals of Operations Research","topic":"Facility Location and Emergency Management","field":"Business, Management and Accounting","cited_by":13,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"","keywords":"Facility location problem; Theory of computation; Cover (algebra); Computer science; Location model; Mathematical optimization; 1-center problem; Plane (geometry); Operations research; Algorithm; Mathematics; Engineering","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":[0.001310495,0.0007714844,0.002056596,0.0008731746,0.0006337101,0.001991197,0.001794693,0.0019189,0.007157738],"category_scores_gemma":[0.01046656,0.00105756,0.0007737066,0.001787636,0.000839202,0.002649612,0.001154072,0.001218016,0.0006200612],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001361706,"about_ca_system_score_gemma":0.001029758,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002269638,"about_ca_topic_score_gemma":0.002156307,"domain_scores_codex":[0.9986128,0.0007361338,0.00003606285,0.0001617659,0.0001601344,0.0002931605],"domain_scores_gemma":[0.9914119,0.006837711,0.0005268389,0.0004506146,0.0003291109,0.0004437802],"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":[0.0006596117,0.0001439097,0.00294588,0.0001923736,0.0001090541,0.0002178974,0.00009709168,0.8961772,0.002425235,0.05325775,0.006885712,0.0368884],"study_design_scores_gemma":[0.00005087113,0.0001004966,0.001840102,0.00002160615,0.00003375782,0.0001305968,0.00005797219,0.945758,0.001020026,0.04958886,0.001378534,0.0000191257],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5010311,0.001087619,0.4608581,0.00340198,0.0001279573,0.0001419989,0.001228411,0.0005405523,0.03158226],"genre_scores_gemma":[0.9747342,0.0003825647,0.01914019,0.00007703849,0.0001294351,0.00005362559,0.0002154867,0.00008008193,0.00518731],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007157738,"threshold_uncertainty_score":0.02394503,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2223166886865235,"score_gpt":0.3784368857011514,"score_spread":0.1561201970146279,"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."}}