{"id":"W1996577247","doi":"10.1111/1540-6229.00029","title":"Housing Price Volatility Changes and Their Effects","year":2002,"lang":"en","type":"article","venue":"Real Estate Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":76,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Volatility (finance); Economics; Volatility risk premium; Volatility smile; Volatility swap; Econometrics; Monetary economics; Financial economics; Forward volatility; Implied volatility","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000491823,0.0002806864,0.0005784326,0.0001799201,0.0001847176,0.0001877523,0.0001807797,0.00014791,0.0001666236],"category_scores_gemma":[0.00005569802,0.0003304555,0.00008706842,0.00009212169,0.0001091807,0.000353663,0.0001113469,0.0001676952,0.0002645227],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00021239,"about_ca_system_score_gemma":0.000009372229,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004335206,"about_ca_topic_score_gemma":0.0004201697,"domain_scores_codex":[0.9983894,0.00001990152,0.0005058196,0.000588703,0.000008947938,0.000487191],"domain_scores_gemma":[0.9988662,0.0001855608,0.0003473358,0.0004026814,0.00001328555,0.0001849389],"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":[0.00006078564,0.0002193469,0.1102842,0.0003317774,0.0001948427,0.00001109976,0.006171057,0.0003794088,0.00003744561,0.0219051,0.0007924255,0.8596125],"study_design_scores_gemma":[0.002162438,0.0003045781,0.03086676,0.00004938545,0.00002150278,0.00003554748,0.0003514364,0.728422,0.0003331261,0.03001529,0.2056611,0.001776789],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7998582,0.0002346727,0.000216053,0.0003659942,0.0004384671,0.0001968905,0.00006321843,0.00008746259,0.1985391],"genre_scores_gemma":[0.957472,0.04119271,0.0005619454,0.0001930953,0.0001930299,0.00001554321,0.0000115567,0.00006275039,0.0002973361],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8578357,"threshold_uncertainty_score":0.9999148,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02623003354995698,"score_gpt":0.1862765982774763,"score_spread":0.1600465647275193,"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."}}