{"id":"W2980393616","doi":"10.1108/jefas-09-2018-0087","title":"The dynamics of bond market development, stock market development and economic growth","year":2019,"lang":"en","type":"article","venue":"Journal of Economics Finance and Administrative Science","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"Trent University","funders":"","keywords":"Economics; Stock market; Granger causality; Interest rate; Bond market; Bond; Monetary economics; Real interest rate; Inflation (cosmology); Financial market; Financial economics; Macroeconomics; Econometrics; Finance","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001210357,0.0002033198,0.0002181455,0.001052928,0.0002627366,0.001813903,0.0002243293,0.0004792376,0.003274179],"category_scores_gemma":[0.007471661,0.0001603527,0.0003090261,0.001675402,0.00053856,0.001629712,0.0006570647,0.0009635694,0.0003356369],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000721295,"about_ca_system_score_gemma":0.0007580872,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004579512,"about_ca_topic_score_gemma":0.004460016,"domain_scores_codex":[0.9996101,0.0001378529,0.00003654561,0.00007769513,0.00007635677,0.00006133812],"domain_scores_gemma":[0.9938951,0.00200923,0.002890149,0.0002319733,0.000599918,0.0003736646],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001464177,0.0001131632,0.9331294,0.0001471604,0.0001692456,0.0003851966,0.0004818928,0.005474828,0.0007844121,0.0284579,0.001940012,0.02877043],"study_design_scores_gemma":[0.00001772955,0.0001581318,0.943136,0.0001399269,0.0001047285,0.000279756,0.001364286,0.01947757,0.001206409,0.02447265,0.009609041,0.00003392182],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9761627,0.002221145,0.003676981,0.002285531,0.0000581534,0.00005151266,0.001725027,0.00003399817,0.01378488],"genre_scores_gemma":[0.9962676,0.001011888,0.0007735455,0.00007111872,0.00002980508,0.00001590191,0.0006051164,0.000004417776,0.001220661],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004579512,"threshold_uncertainty_score":0.01095319,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04804959249312386,"score_gpt":0.2459849435110802,"score_spread":0.1979353510179564,"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."}}