{"id":"W4409883835","doi":"10.1080/03155986.2025.2493994","title":"Facility location with modular capacity under demand uncertainty: an industrial case study","year":2025,"lang":"en","type":"article","venue":"INFOR Information Systems and Operational Research","topic":"Facility Location and Emergency Management","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Group for Research in Decision Analysis; Hydro-Québec; HEC Montréal","funders":"Mitacs","keywords":"Modular design; Facility location problem; Environmental economics; Environmental science; Operations management; Business; Computer science; Operations research; Economics; Engineering","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":true,"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":[0.001520023,0.0009951077,0.0006590083,0.0008422185,0.001156906,0.001045411,0.001598786,0.002025353,0.002487764],"category_scores_gemma":[0.003478307,0.0003911499,0.000578846,0.001547414,0.00137333,0.0009009843,0.0008936338,0.000954562,0.0001144201],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005394667,"about_ca_system_score_gemma":0.002704271,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1426828,"about_ca_topic_score_gemma":0.123087,"domain_scores_codex":[0.999139,0.0003265912,0.00002475614,0.0001227617,0.0001626457,0.0002241826],"domain_scores_gemma":[0.9970728,0.002117419,0.000258288,0.0001277734,0.0002441509,0.000179614],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.00004029148,0.0000577184,0.001071024,0.00002458608,0.000009574311,0.0002655348,0.00001885818,0.9937834,0.0002014443,0.001775022,0.0003148826,0.002437713],"study_design_scores_gemma":[0.00003121676,0.00004945905,0.0006087494,0.000004878887,0.000007533873,0.00004527827,0.00009159076,0.9973813,0.0003255534,0.001124871,0.0003220927,0.000007529428],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8716398,0.0003750208,0.1140897,0.001014929,0.0000346673,0.000311092,0.0008623104,0.0002161514,0.01145621],"genre_scores_gemma":[0.9853562,0.00009336425,0.01351558,0.00002531357,0.000009336082,0.00004961187,0.0001288177,0.00001080451,0.0008111183],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1426828,"threshold_uncertainty_score":0.2837046,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1429977715922246,"score_gpt":0.3413239816700991,"score_spread":0.1983262100778746,"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."}}