{"id":"W2990804517","doi":"10.5539/ijef.v11n12p37","title":"Reviewing the Equilibrium and Causal Relationships between Stock Market Development and Economic Growth in Jordan","year":2019,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Fiscal Policy and Economic Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Stock market; Economics; Stock (firearms); Econometrics; Macroeconomics; Geography","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":[0.0009488667,0.0001627918,0.0002937008,0.001677662,0.0003110954,0.001549575,0.0002904611,0.0003233943,0.002796815],"category_scores_gemma":[0.002760516,0.0001641571,0.0004632068,0.001806665,0.0003100511,0.001135705,0.0004114827,0.0005103688,0.0002361606],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00120401,"about_ca_system_score_gemma":0.001781926,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02888451,"about_ca_topic_score_gemma":0.03179958,"domain_scores_codex":[0.9998282,0.00004534622,0.00002501533,0.00002976383,0.00003724199,0.00003444673],"domain_scores_gemma":[0.9986358,0.000656359,0.0002734567,0.00002230124,0.0003610386,0.00005098975],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001277398,0.0002327728,0.7548363,0.0007182704,0.0003471431,0.00206129,0.001189416,0.04494085,0.00152816,0.1145438,0.004560799,0.07491351],"study_design_scores_gemma":[0.000053956,0.0001958707,0.7538494,0.0005637254,0.0004419511,0.0004680611,0.00642275,0.1266981,0.002722269,0.07612428,0.03236894,0.00009071633],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9687173,0.01188916,0.003435945,0.003404823,0.00004887474,0.00002359282,0.0007221441,0.00001910084,0.01173901],"genre_scores_gemma":[0.9864327,0.008126583,0.0009720043,0.0001595215,0.0001051419,0.00001369391,0.0007222362,0.000005034033,0.003463041],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02888451,"threshold_uncertainty_score":0.05743277,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04943698436670684,"score_gpt":0.2369322755991216,"score_spread":0.1874952912324147,"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."}}