{"id":"W4414683292","doi":"10.48550/arxiv.2506.19155","title":"Relative Explanations for Contextual Problems with Endogenous Uncertainty: An Application to Competitive Facility Location","year":2025,"lang":"en","type":"preprint","venue":"ArXiv.org","topic":"Risk and Portfolio Optimization","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Counterfactual thinking; Covariate; Computation; Minification; Facility location problem; Regularization (linguistics); Optimization problem; Work (physics)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006435565,0.001152299,0.001446628,0.001258454,0.0008858867,0.001726445,0.001869144,0.002466193,0.003758719],"category_scores_gemma":[0.03512035,0.0007806497,0.001474403,0.001198631,0.002645458,0.002822195,0.00268343,0.003499708,0.0001467143],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002191305,"about_ca_system_score_gemma":0.001668521,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007395572,"about_ca_topic_score_gemma":0.007122808,"domain_scores_codex":[0.9970332,0.001914038,0.00009863687,0.0004402641,0.0003734165,0.0001403929],"domain_scores_gemma":[0.9789763,0.01802588,0.001289725,0.0007627542,0.0005433764,0.0004020683],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00008656063,0.00004187256,0.00166807,0.0000935219,0.00006189868,0.0001604187,0.0002083651,0.837189,0.0002556463,0.1438575,0.0005229103,0.01585424],"study_design_scores_gemma":[0.00002154388,0.0000287113,0.0002413575,0.00001679496,0.00001151953,0.00002353446,0.00003933351,0.9003257,0.0001337529,0.09865864,0.0004855764,0.00001355273],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0336769,0.0003064454,0.9638504,0.0008157316,0.00002437543,0.00005481252,0.000115288,0.000122985,0.001033138],"genre_scores_gemma":[0.6784797,0.0003144461,0.3189667,0.000283074,0.0001011487,0.0002007469,0.0003182322,0.00008779491,0.001248189],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.007395572,"threshold_uncertainty_score":0.03403491,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1658964740129783,"score_gpt":0.3708791996413628,"score_spread":0.2049827256283845,"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."}}