{"id":"W588288924","doi":"","title":"THE CONTRIBUTION OF REGION-SPECIFIC SHOCKS TO AGGREGATE FLUCTUATIONS: EVIDENCE FROM THE LOCAL HOUSING MARKETS IN CANADA","year":2011,"lang":"en","type":"article","venue":"Library and Archives Canada (Government of Canada)","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Investment (military); Economics; Aggregate (composite); Productivity; House price; Monetary economics; Demographic economics; Labour economics; Macroeconomics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.000770606,0.000264879,0.0004875182,0.001839959,0.001991848,0.002280362,0.0009130056,0.0003904592,0.001750741],"category_scores_gemma":[0.00369781,0.000263777,0.0006010016,0.006192893,0.001028491,0.0006106104,0.00111815,0.0007295652,0.0001896329],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02080328,"about_ca_system_score_gemma":0.01985795,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9964958,"about_ca_topic_score_gemma":0.9980318,"domain_scores_codex":[0.9992606,0.00005307437,0.00004342115,0.0001199616,0.000235803,0.0002869814],"domain_scores_gemma":[0.9955518,0.0003962605,0.0009218004,0.0002078173,0.002230287,0.000692033],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001066312,0.00002695173,0.9841383,0.00004591185,0.0001721502,0.0001953828,0.0016003,0.001698037,0.0002239485,0.0008155571,0.002332488,0.008644284],"study_design_scores_gemma":[0.000003858062,0.000006955243,0.9960158,0.00001687775,0.00003329357,0.00001883106,0.001610855,0.0008831488,0.00007974404,0.00005802105,0.001259126,0.00001335082],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9914437,0.0009644306,0.0001760721,0.0007616854,0.000009503422,0.00001460225,0.00325693,0.00001553918,0.003357534],"genre_scores_gemma":[0.9973246,0.0005235767,0.00006397178,0.00004652839,0.000004096101,0.00000293397,0.00129349,0.000004828827,0.0007359092],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02080328,"threshold_uncertainty_score":0.150939,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01432843830432019,"score_gpt":0.143027182266404,"score_spread":0.1286987439620838,"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."}}