{"id":"W2797420030","doi":"10.3390/jrfm11020021","title":"Testing for Causality-In-Mean and Variance between the UK Housing and Stock Markets","year":2018,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Financial Risk and Volatility Modeling","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Causality (physics); Stock (firearms); Stock market; Econometrics; Economics; Variance (accounting); Financial economics; Geography; Accounting","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.007534145,0.0004174924,0.0005584999,0.00211457,0.000730346,0.001544819,0.0005577442,0.0006909832,0.006272425],"category_scores_gemma":[0.07591227,0.0003232984,0.001037026,0.002161017,0.00129739,0.001727685,0.002546278,0.001309329,0.000434246],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000677972,"about_ca_system_score_gemma":0.002744392,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01031727,"about_ca_topic_score_gemma":0.006848959,"domain_scores_codex":[0.9923468,0.003819381,0.0009443849,0.0008533393,0.001270276,0.0007658193],"domain_scores_gemma":[0.8819345,0.09550316,0.01064232,0.004241514,0.006178133,0.001500475],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003712926,0.0001259374,0.962352,0.0001009206,0.0003839237,0.0004543711,0.001662342,0.001171883,0.0008997252,0.01227776,0.0006032375,0.01959656],"study_design_scores_gemma":[0.0001023066,0.0004886495,0.9676283,0.00006526434,0.0002336673,0.0003252635,0.004350823,0.01016091,0.001821646,0.01177736,0.002991626,0.0000542534],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9841999,0.0001344719,0.01007153,0.0003470891,0.00005805687,0.0000811558,0.0005659123,0.00002496586,0.004516955],"genre_scores_gemma":[0.9969229,0.00005614871,0.002189391,0.0000416849,0.00001895684,0.00005846444,0.000341917,0.000006518756,0.0003638463],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01031727,"threshold_uncertainty_score":0.03984487,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03781685227087486,"score_gpt":0.2440101734061007,"score_spread":0.2061933211352258,"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."}}