{"id":"W170489151","doi":"10.1023/a:1020771702141","title":"Data Surrogation Error in p-Median Models","year":2002,"lang":"en","type":"article","venue":"Annals of Operations Research","topic":"Facility Location and Emergency Management","field":"Business, Management and Accounting","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Theory of computation; Population; Computer science; Ideal (ethics); Service (business); Variable (mathematics); Operations research; Algorithm; Mathematics; Demography; Sociology; Economics; Political science; Economy","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001927338,0.00007077619,0.0001023018,0.0006873446,0.0001715192,0.0001439444,0.0005623963,0.00003720335,0.001796312],"category_scores_gemma":[0.0004531326,0.00007114136,0.00002178943,0.001204969,0.00007592624,0.002461327,0.0003416719,0.0001434984,0.0008273726],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001061842,"about_ca_system_score_gemma":0.00001727536,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.006829952,"about_ca_topic_score_gemma":0.02572818,"domain_scores_codex":[0.9985572,0.00004382947,0.0003292794,0.0002718196,0.0005299907,0.0002678746],"domain_scores_gemma":[0.9986594,0.00002048566,0.00001123849,0.000669845,0.0006249943,0.00001403277],"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":[0.00002814506,0.001223203,0.002099779,0.0003473539,0.00004190548,0.000007421203,0.000815399,0.5233836,0.000270545,0.1563378,0.28532,0.03012483],"study_design_scores_gemma":[0.0001400855,0.000006225146,0.001524079,0.00001810191,0.000001717029,7.306764e-8,0.0004247977,0.973991,0.00002101115,0.00105986,0.0227411,0.00007190966],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.752353,0.0006511026,0.002383704,0.1182082,0.0003980043,0.001649263,0.0001020729,0.000105956,0.1241487],"genre_scores_gemma":[0.9968084,0.0002307193,0.0001607759,0.0004898473,0.0001312301,0.00003838808,0.0002744347,0.000008353109,0.001857897],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4506075,"threshold_uncertainty_score":0.9999506,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.752284831608935,"score_gpt":0.4726998005954861,"score_spread":0.2795850310134489,"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."}}