{"id":"W2752011487","doi":"10.1007/s11146-017-9619-y","title":"Political Risk Affects Real Estate Markets","year":2017,"lang":"en","type":"article","venue":"The Journal of Real Estate Finance and Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":23,"is_retracted":false,"has_abstract":false,"ca_institutions":"Simon Fraser University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Real estate; Referendum; Brexit; Politics; Rest (music); Economics; Estate; Business; Financial economics; Political science; Finance; Economic policy; Law; European union","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002631682,0.0002638452,0.0007337354,0.0001421063,0.0007068687,0.0003461924,0.0007139334,0.000136061,0.0000259548],"category_scores_gemma":[0.0001783117,0.000238814,0.0001870377,0.00003387244,0.0003915539,0.0008776917,0.0001871159,0.0004337268,0.00007437179],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001742921,"about_ca_system_score_gemma":0.00008763029,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001978101,"about_ca_topic_score_gemma":0.0004748158,"domain_scores_codex":[0.9981024,0.00005226895,0.000920447,0.0002746635,0.00002783514,0.0006223847],"domain_scores_gemma":[0.9964727,0.000267862,0.002318666,0.0006942265,0.00004151662,0.0002050318],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001650021,0.0001872704,0.3286456,0.0001091535,0.0003786246,0.00009084267,0.002808695,0.001165591,0.000008858313,0.1373054,0.002164268,0.5254856],"study_design_scores_gemma":[0.003785256,0.000709581,0.7650646,0.000100679,0.0001436067,0.0004619085,0.000766446,0.01842154,0.0001144122,0.08061766,0.1287064,0.001107898],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7536502,0.00005104701,0.0000466828,0.0007908916,0.0006548908,0.00009329623,0.0000860466,0.000008816273,0.2446181],"genre_scores_gemma":[0.7085128,0.2905574,0.0003703829,0.00004917562,0.0002678477,0.000001634111,0.000002009954,0.00003336491,0.0002053782],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5243777,"threshold_uncertainty_score":0.9738552,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01930963239204786,"score_gpt":0.2272559329615398,"score_spread":0.2079463005694919,"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."}}