{"id":"W7116974366","doi":"10.48550/arxiv.2512.16968","title":"Fairness, Travel, and Market Potential: An Optimization Framework for NBA Expansion","year":2025,"lang":"","type":"preprint","venue":"arXiv (Cornell University)","topic":"Sports Analytics and Performance","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Restructuring; Balance (ability); League; Revenue; Intersection (aeronautics); Basketball; Raising (metalworking); Pairwise comparison","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":[0.004138446,0.001234156,0.001330619,0.001234356,0.001349796,0.003083384,0.0017002,0.001653014,0.008031011],"category_scores_gemma":[0.007134316,0.0007515337,0.001165292,0.001129482,0.002222714,0.003133407,0.002142919,0.00239633,0.0004111708],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004626131,"about_ca_system_score_gemma":0.002691244,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01903011,"about_ca_topic_score_gemma":0.01439042,"domain_scores_codex":[0.9981148,0.001150868,0.00003269995,0.0002118929,0.0001533644,0.0003363238],"domain_scores_gemma":[0.9977741,0.001367386,0.0002425292,0.00009696947,0.0001850327,0.0003339195],"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":[0.00006633011,0.00005718193,0.0006609965,0.00002836591,0.00002240718,0.00005547444,0.00007336817,0.9021533,0.000246388,0.09051358,0.001110081,0.0050125],"study_design_scores_gemma":[0.00003275508,0.0000522369,0.0004076595,0.00001881176,0.00001498782,0.00001757936,0.0001619307,0.927211,0.00008853078,0.07014988,0.001827809,0.00001689266],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1704792,0.00106609,0.767304,0.002906871,0.000161719,0.0003634436,0.000629169,0.0001498795,0.05693962],"genre_scores_gemma":[0.93958,0.0005185021,0.04772302,0.0002069771,0.00007164462,0.000286411,0.0001560026,0.00008186786,0.01137547],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01903011,"threshold_uncertainty_score":0.03783864,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05627615673997773,"score_gpt":0.1860452415970818,"score_spread":0.129769084857104,"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."}}