{"id":"W2023174570","doi":"10.1016/s0305-0548(01)00079-x","title":"The generalized maximal covering location problem","year":2002,"lang":"en","type":"article","venue":"Computers & Operations Research","topic":"Facility Location and Emergency Management","field":"Business, Management and Accounting","cited_by":267,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Mathematical optimization; Mathematics; Computer science; Combinatorics","routes":{"ca_aff":true,"ca_fund":true,"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":["sts","scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001043079,0.0001074117,0.00008330039,0.0002379476,0.001778427,0.001282862,0.0004824893,0.00003214612,0.0004915124],"category_scores_gemma":[0.0001117429,0.00008527086,0.00004020044,0.00109892,0.0001182822,0.0007714204,0.0003217788,0.0001873885,0.002476043],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007869191,"about_ca_system_score_gemma":0.00001780357,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001631616,"about_ca_topic_score_gemma":0.001625547,"domain_scores_codex":[0.9984741,0.00005733887,0.000276895,0.0002785132,0.0005316911,0.0003814932],"domain_scores_gemma":[0.9988638,0.00003356748,0.00001107425,0.0004110598,0.0006619788,0.00001853686],"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":[0.00001682448,0.0001931562,0.0002610095,0.0001190478,0.0000477383,0.00000320722,0.0003031653,0.4434383,0.0002474943,0.292831,0.1952841,0.06725499],"study_design_scores_gemma":[0.0002015294,0.000007007908,0.0006068758,0.00001158466,0.000003595227,4.925378e-7,0.0001135308,0.7532041,0.0000115147,0.0002519984,0.2454966,0.00009111533],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.375014,0.002669606,0.3284765,0.1461392,0.004563447,0.006603507,0.000006502227,0.001161029,0.1353662],"genre_scores_gemma":[0.9885798,0.0001653865,0.001742857,0.0008820195,0.0006789409,0.0002138064,0.00003741152,0.00001864797,0.00768115],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6135658,"threshold_uncertainty_score":0.9997539,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1076327661472703,"score_gpt":0.3121708075387171,"score_spread":0.2045380413914468,"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."}}