{"id":"W4410789742","doi":"10.1080/03155986.2025.2510171","title":"A stochastic leader-follower model in competitive facility location","year":2025,"lang":"en","type":"article","venue":"INFOR Information Systems and Operational Research","topic":"Optimization and Search Problems","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Facility location problem; Stochastic modelling; Computer science; Operations research; Engineering; Mathematics; Statistics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.002146626,0.0000925048,0.0001329493,0.0007513447,0.0003083494,0.0009364141,0.0003107019,0.00008485999,0.000007898447],"category_scores_gemma":[0.0004220559,0.00008387106,0.00001774286,0.001060815,0.00009191814,0.003408889,0.0001865815,0.000267473,0.0001024101],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001660954,"about_ca_system_score_gemma":0.000787679,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001835682,"about_ca_topic_score_gemma":0.00003772265,"domain_scores_codex":[0.9981763,0.0001290426,0.0005252804,0.0001619296,0.0007413504,0.0002660867],"domain_scores_gemma":[0.9979855,0.000214375,0.00004494434,0.0002220166,0.001453228,0.00007998219],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000009047139,0.00001301347,0.0001396099,0.00005623277,0.000004087517,1.330541e-7,0.001420281,0.4453577,0.000004119677,0.5509241,0.0005445816,0.001527111],"study_design_scores_gemma":[0.0005060914,0.00002571186,0.0009598129,0.00008105407,4.013726e-7,0.000001870483,0.0009053439,0.9912127,0.000007253798,0.0006157352,0.005604529,0.00007954585],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001557978,0.00007764381,0.9722692,0.001619691,0.000110379,0.000886446,0.00002171731,0.00004098968,0.02341594],"genre_scores_gemma":[0.9958674,0.00001625734,0.001894966,0.000351526,0.000008968722,0.0002442283,0.00007018831,0.000001498012,0.001545012],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9943094,"threshold_uncertainty_score":0.9029863,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06720263850202583,"score_gpt":0.3570475799345409,"score_spread":0.2898449414325151,"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."}}