{"id":"W4376526744","doi":"10.2139/ssrn.4445791","title":"Chinese Overseas Buyers in U.S. Housing Markets","year":2023,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Migration, Ethnicity, and Economy","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Business; Chinese market; China; Advertising; Commerce; Political science; Law","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005508245,0.0001261671,0.0002310929,0.0009545884,0.001819374,0.002000534,0.0003368324,0.000331723,0.01248712],"category_scores_gemma":[0.0008832289,0.0001726539,0.0001620288,0.002074903,0.0007031166,0.001359144,0.001002448,0.0004262304,0.0005814457],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001291794,"about_ca_system_score_gemma":0.001421232,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08619986,"about_ca_topic_score_gemma":0.2384853,"domain_scores_codex":[0.9997543,0.00004716558,0.000009828712,0.00002302091,0.00003753102,0.000128284],"domain_scores_gemma":[0.9993174,0.0001146225,0.0001653303,0.00002299436,0.00008669088,0.0002929109],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002840739,0.0002418438,0.94543,0.00004629733,0.00003034285,0.0007711772,0.02730744,0.0002074653,0.0004376846,0.006659506,0.003227064,0.01535712],"study_design_scores_gemma":[0.00001935795,0.00008275364,0.8849329,0.00003676947,0.00002619631,0.0001625743,0.1088619,0.0008238311,0.0002267537,0.000757236,0.004052787,0.00001688898],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9966006,0.00008427714,0.00001318187,0.0001628836,0.000005044466,0.000004544424,0.00006815982,9.935333e-7,0.003060378],"genre_scores_gemma":[0.9975564,0.00009123577,0.000008251302,0.00004435673,0.000005051078,0.000002320996,0.00003852816,0.00000103588,0.002252896],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08619986,"threshold_uncertainty_score":0.1713963,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0115409674233783,"score_gpt":0.2948095736946727,"score_spread":0.2832686062712944,"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."}}