{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007356501,0.0005757734,0.001003891,0.0007123253,0.0005537488,0.0002889184,0.0006647252,0.0009592701,0.001211618],"category_scores_gemma":[0.00007056027,0.0008220494,0.0003765724,0.0006158921,0.0002018023,0.0006455519,0.0004488316,0.0005863421,0.00001397286],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002392113,"about_ca_system_score_gemma":0.0001537419,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003270328,"about_ca_topic_score_gemma":0.00004031936,"domain_scores_codex":[0.9966072,0.00003655866,0.0008066403,0.00194499,0.00003718857,0.0005674357],"domain_scores_gemma":[0.9973128,0.000116215,0.0009696139,0.001095773,0.0002197108,0.0002858256],"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":[0.0002671524,0.0001687922,0.009667017,0.0003398152,0.0001749986,0.00001697719,0.0001533338,0.6739987,3.861198e-7,0.3144929,0.0001789972,0.0005409524],"study_design_scores_gemma":[0.0009271617,0.0001418887,0.006542724,0.0002393595,0.0002133489,0.00000188626,0.0003668523,0.8970179,0.000006045233,0.09148761,0.00225385,0.0008013606],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1011197,0.0006662943,0.8922468,0.0001573403,0.001581897,0.0008203277,0.000785425,0.00004062701,0.002581595],"genre_scores_gemma":[0.9611059,0.02012843,0.006554796,0.0001637631,0.0002263652,0.00000515072,0.0002613947,0.00004984021,0.01150438],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.885692,"threshold_uncertainty_score":0.9997014,"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."}}