{"id":"W2392010447","doi":"","title":"VECM 모형을 이용한 주택시장과 거시경제변수 관계 분석","year":2015,"lang":"ko","type":"article","venue":"대한부동산학회지","topic":"Diverse Approaches in Healthcare and Education Studies","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Economics; Econometrics; Index (typography); Variance decomposition of forecast errors; Macro; Price index; Producer price index; Quarter (Canadian coin); Variance (accounting); Wholesale price index; Price variance; Price level; Macroeconomics; Mid price","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":[0.001669809,0.000729746,0.0005991426,0.000895497,0.0002930419,0.001694515,0.0005407971,0.0003971444,0.01226153],"category_scores_gemma":[0.009862347,0.0002740183,0.0008820468,0.001793789,0.0005188643,0.001124557,0.0006648442,0.001181438,0.002613955],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009192107,"about_ca_system_score_gemma":0.001051786,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006512288,"about_ca_topic_score_gemma":0.004769042,"domain_scores_codex":[0.9980148,0.0008599105,0.0001127747,0.0003908969,0.0004571892,0.0001643955],"domain_scores_gemma":[0.9961372,0.002194363,0.0005395522,0.0003393309,0.0007124697,0.00007694159],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003441013,0.0003354323,0.3179434,0.0008655926,0.001304762,0.0007020269,0.001069139,0.1059065,0.002498901,0.1322185,0.02195088,0.4148609],"study_design_scores_gemma":[0.00006888031,0.0007634633,0.2329786,0.0004215222,0.000485353,0.0008746884,0.001979852,0.6245566,0.005217842,0.07035001,0.06213788,0.0001653393],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5773726,0.002697029,0.3748696,0.002493369,0.001017533,0.0003687901,0.007145179,0.00129647,0.0327394],"genre_scores_gemma":[0.934168,0.001413302,0.039072,0.000263591,0.0002578,0.0002631311,0.0052657,0.00009685483,0.01919963],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01226153,"threshold_uncertainty_score":0.04101896,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3192990025148252,"score_gpt":0.4087717313059158,"score_spread":0.08947272879109058,"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."}}