{"id":"W4313529074","doi":"10.48550/arxiv.2301.00681","title":"Historical Patterns and Recent Impacts of Chinese Investors in United States Real Estate","year":2022,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Real estate; China; Business; Investment (military); Finance; Capital (architecture); Real estate investment trust; Geography; Politics","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":[0.0006019762,0.000201288,0.0001631208,0.001392219,0.0008116045,0.001370439,0.0004287186,0.0003413152,0.003748972],"category_scores_gemma":[0.001608733,0.0001378603,0.000183657,0.003305103,0.0006956317,0.001009673,0.0009902645,0.0007089775,0.0004087439],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003234116,"about_ca_system_score_gemma":0.001370611,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1450496,"about_ca_topic_score_gemma":0.2625871,"domain_scores_codex":[0.9995827,0.00003725856,0.00003634677,0.0000648666,0.0001306577,0.0001482819],"domain_scores_gemma":[0.9980818,0.000114979,0.0008924266,0.00005357488,0.0004468925,0.0004102751],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008224505,0.00003570323,0.9649035,0.00006869846,0.00004011367,0.0004336197,0.004235869,0.0001536212,0.0002807141,0.002239663,0.008318119,0.01920825],"study_design_scores_gemma":[0.000002178726,0.00002386687,0.9785502,0.00004841957,0.00001580796,0.0002173627,0.00596266,0.0002670732,0.0002907962,0.00008661902,0.01451966,0.00001524845],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9838095,0.001706436,0.00007286792,0.001346723,0.00003102266,0.00001342659,0.001673774,0.00001014216,0.01133607],"genre_scores_gemma":[0.9921793,0.002138504,0.00007215675,0.0003469326,0.00004291568,0.00001147732,0.001243632,0.000005775109,0.003959211],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1450496,"threshold_uncertainty_score":0.2884107,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06731951227588971,"score_gpt":0.1813341500336281,"score_spread":0.1140146377577384,"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."}}