{"id":"W1966161831","doi":"10.1007/s11146-009-9197-8","title":"House Prices and Economic Growth","year":2009,"lang":"en","type":"article","venue":"The Journal of Real Estate Finance and Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":129,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Collateral; Metropolitan area; Economics; House price; Wealth effect; Quarter (Canadian coin); Statistic; Econometrics; Monetary economics; Finance; Geography; Monetary policy; Mathematics; Statistics","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":[0.0004328318,0.0001964743,0.0001940403,0.0007151415,0.0002874534,0.001831477,0.0001788372,0.0006372079,0.008306652],"category_scores_gemma":[0.003650745,0.0001123526,0.0001958188,0.001431816,0.0007066305,0.001782816,0.0005885746,0.0009539516,0.001025998],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006733882,"about_ca_system_score_gemma":0.0003569341,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006350603,"about_ca_topic_score_gemma":0.007825102,"domain_scores_codex":[0.9998835,0.0000395553,0.000008254735,0.00001770651,0.00002414388,0.00002679341],"domain_scores_gemma":[0.9983432,0.0008055794,0.0003983152,0.0000778477,0.0001883533,0.0001865583],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000494716,0.000330756,0.5071703,0.0001647456,0.0002347076,0.001257724,0.001590632,0.01200347,0.0004672639,0.3643045,0.02926312,0.08271807],"study_design_scores_gemma":[0.00007011619,0.0001283684,0.5703774,0.00012967,0.0001528074,0.0005697496,0.004427932,0.01464816,0.0006021183,0.347067,0.06178332,0.00004326995],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8486993,0.02250359,0.002593579,0.02654492,0.0004236233,0.00001826952,0.002799099,0.00007925917,0.09633835],"genre_scores_gemma":[0.9880705,0.003443026,0.0001122347,0.0001675788,0.0002511063,0.000003642797,0.0003934654,0.000006126867,0.007552292],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008306652,"threshold_uncertainty_score":0.02778852,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01394507816848651,"score_gpt":0.1969320243851965,"score_spread":0.18298694621671,"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."}}