{"id":"W1993315531","doi":"10.1111/j.1475-3995.2005.00514.x","title":"The facility and transfer points location problem","year":2005,"lang":"en","type":"article","venue":"International Transactions in Operational Research","topic":"Facility Location and Emergency Management","field":"Business, Management and Accounting","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Facility location problem; Transfer (computing); 1-center problem; Set (abstract data type); Point (geometry); Computer science; Heuristic; Location model; Operations research; Mathematical optimization; Mathematics; Artificial intelligence; Operating system","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00192104,0.00009574166,0.00006516962,0.0003390124,0.0005936841,0.0004385563,0.0002907776,0.00004423401,0.001431264],"category_scores_gemma":[0.0001339307,0.00007927416,0.00003161723,0.000519159,0.0001655567,0.001236071,0.00002557384,0.0002890274,0.0005558914],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000160402,"about_ca_system_score_gemma":0.00006253974,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001130971,"about_ca_topic_score_gemma":0.01183643,"domain_scores_codex":[0.9983224,0.00004418608,0.0003434109,0.0002768305,0.0007824343,0.0002307227],"domain_scores_gemma":[0.9990062,0.00008748507,0.000008136039,0.0001490365,0.0007336264,0.00001551038],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002887058,0.0007164437,0.003464809,0.0001076256,0.0001043042,0.000002251149,0.0006585008,0.1450436,0.0003639686,0.5712041,0.003505045,0.2745407],"study_design_scores_gemma":[0.0007474378,0.00001024175,0.01889788,0.00002592577,0.000005802149,0.00000289715,0.0007391104,0.2616542,0.00007844145,0.003816508,0.7138383,0.0001832927],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.2602586,0.0004984247,0.1461192,0.4937337,0.001558669,0.002755425,0.00006605083,0.0002078237,0.09480214],"genre_scores_gemma":[0.9946758,0.0001365683,0.0002852346,0.0006059814,0.0002414772,0.0002344362,0.00004784229,0.000006318025,0.0037663],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7344173,"threshold_uncertainty_score":0.9994816,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07270049460960994,"score_gpt":0.3454349329598375,"score_spread":0.2727344383502276,"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."}}