{"id":"W4221135612","doi":"10.3390/jrfm15030139","title":"Spatial Analysis and Modeling of the Housing Value Changes in the U.S. during the COVID-19 Pandemic","year":2022,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Real estate; Economic geography; Coronavirus disease 2019 (COVID-19); Spillover effect; Volatility (finance); Distribution (mathematics); Economics; Divergence (linguistics); Socioeconomic status; Pandemic; Geography; Econometrics; Macroeconomics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.0008652061,0.0003166367,0.0003721086,0.0009063217,0.000384275,0.0009845546,0.0008490879,0.0008038059,0.001357421],"category_scores_gemma":[0.002893324,0.0003619863,0.0008521119,0.001131973,0.0006507625,0.0008293229,0.0009118345,0.000670934,0.0001693471],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00150228,"about_ca_system_score_gemma":0.0007308947,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1312141,"about_ca_topic_score_gemma":0.08364277,"domain_scores_codex":[0.9997233,0.0001085701,0.00001424374,0.00006549544,0.00002341826,0.00006483922],"domain_scores_gemma":[0.9990196,0.0005099865,0.0002116811,0.00006917656,0.0001255802,0.00006401827],"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":[0.00007504733,0.00007071161,0.08468466,0.00002571354,0.00007831325,0.0002153618,0.0001407049,0.9040955,0.0003917119,0.004836655,0.0009607075,0.004424876],"study_design_scores_gemma":[0.000004959498,0.00001117736,0.0134922,0.000005019338,0.000008299714,0.00001868257,0.0001454142,0.9847057,0.00005889508,0.00128259,0.0002601906,0.000006702168],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9891803,0.0003073449,0.007228947,0.0006474713,0.00001917339,0.00001687797,0.0007932516,0.00005572895,0.001750862],"genre_scores_gemma":[0.997449,0.0001192653,0.001514574,0.0000220456,0.000007374402,0.00001238591,0.0003508705,0.000009995088,0.000514417],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1312141,"threshold_uncertainty_score":0.2609007,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02716926541864222,"score_gpt":0.2185330762640825,"score_spread":0.1913638108454402,"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."}}