{"id":"W3127124834","doi":"10.1108/ijhma-10-2020-0126","title":"House price index (HPI) and Covid-19 pandemic shocks: evidence from Turkey and Kazakhstan","year":2021,"lang":"en","type":"article","venue":"International Journal of Housing Markets and Analysis","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Index (typography); Economics; Distributed lag; Real estate; Econometrics; Price index; Shock (circulatory); Pandemic; Quarter (Canadian coin); Constraint (computer-aided design); Consumer price index (South Africa); Coronavirus disease 2019 (COVID-19); Macroeconomics; Geography; Finance; Monetary policy; Computer science; Mathematics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00119445,0.0001693985,0.0005723017,0.0007276371,0.0001251903,0.0005156252,0.0002036435,0.0001008869,0.0002805117],"category_scores_gemma":[0.0008799073,0.0001788374,0.0001724183,0.0003188743,0.0001094049,0.0005401971,0.0001673393,0.0002113043,0.000002465763],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001939503,"about_ca_system_score_gemma":0.0001018361,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005612208,"about_ca_topic_score_gemma":0.0002142924,"domain_scores_codex":[0.998471,0.00006143457,0.0008063038,0.0003779035,0.0001060237,0.0001773289],"domain_scores_gemma":[0.9981734,0.0005038262,0.0007493187,0.0001565843,0.0001576718,0.0002591765],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001580102,0.00003911277,0.9890069,0.00001521816,0.001440004,0.0001277268,0.0005588044,0.0007809965,0.00006701855,0.0002488228,0.0001631481,0.007394241],"study_design_scores_gemma":[0.003243111,0.0001008412,0.7966509,0.000318099,0.001039231,0.0006621479,0.001213201,0.1378977,0.00005637455,0.0253883,0.03237224,0.001057761],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9693562,0.007251251,0.02054039,0.001497107,0.0002819271,0.00003072787,0.00005291101,0.00001758489,0.0009718837],"genre_scores_gemma":[0.9742451,0.02352356,0.001357497,0.0005316327,0.0002132088,7.285749e-7,0.000006586185,0.00002098796,0.0001006774],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1923559,"threshold_uncertainty_score":0.7292777,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04274312140252701,"score_gpt":0.2740011036548066,"score_spread":0.2312579822522796,"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."}}