{"id":"W1591210525","doi":"10.3386/w16057","title":"Segregation and Tiebout Sorting: Investigating the Link between Investments in Public Goods and Neighborhood Tipping","year":2010,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Psychology of Social Influence","field":"Social Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of British Columbia; University of Georgia; Arizona State University; Resources for the Future; National Science Foundation","keywords":"Tiebout model; Sorting; Public good; Link (geometry); Economics; Microeconomics; Public economics; Computer science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.0007973061,0.0002263161,0.0003512857,0.0007097395,0.0008891005,0.001178597,0.0003553985,0.0008993457,0.006756961],"category_scores_gemma":[0.004513515,0.0001350096,0.0002614803,0.001062016,0.000665473,0.000923635,0.0007563802,0.0006648074,0.0002862618],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008003204,"about_ca_system_score_gemma":0.0005119464,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008849822,"about_ca_topic_score_gemma":0.0136584,"domain_scores_codex":[0.9997776,0.00008964221,0.000007129625,0.00003117709,0.00002795618,0.00006646895],"domain_scores_gemma":[0.9980397,0.0009154564,0.000583662,0.0000789046,0.0000915044,0.0002908329],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001076765,0.002450749,0.8224448,0.0001631615,0.0003237475,0.0005262037,0.002439735,0.01968588,0.003481055,0.105173,0.002641389,0.03959352],"study_design_scores_gemma":[0.0002058439,0.001096113,0.7455658,0.00009788374,0.0002817766,0.0003470787,0.009952585,0.1088133,0.001464944,0.1260347,0.006086926,0.00005305676],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9950026,0.0001458668,0.00060931,0.0004560571,0.00000474105,0.000007385403,0.00005550982,0.000001929219,0.003716682],"genre_scores_gemma":[0.9982205,0.0002090575,0.0003336053,0.00004141272,0.000008957666,0.000008424794,0.00006092067,0.000001587828,0.001115612],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008849822,"threshold_uncertainty_score":0.02260429,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5459376023066074,"score_gpt":0.5698030067926688,"score_spread":0.02386540448606145,"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."}}