{"id":"W2922247610","doi":"10.5539/ibr.v12n4p50","title":"The long-Run and Short-Run Analysis between Stock Market Index and Macroeconomic Variables in Jordan: Bounds Tests Approach","year":2019,"lang":"en","type":"article","venue":"International Business Research","topic":"Energy, Environment, Economic Growth","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Short run; Economics; Index (typography); Stock market; Stock exchange; Econometrics; Stock market index; Stock (firearms); Bounding overwatch; Macroeconomics; Finance; Computer science","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":[0.005149287,0.000448081,0.0006604884,0.001944036,0.0004597034,0.001988778,0.0008812858,0.0007296831,0.003482259],"category_scores_gemma":[0.01338659,0.0002274399,0.001194621,0.001421915,0.0006166109,0.001870024,0.001079509,0.001168913,0.000353474],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006323282,"about_ca_system_score_gemma":0.001283018,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007900045,"about_ca_topic_score_gemma":0.004039453,"domain_scores_codex":[0.9982156,0.0008123568,0.0001089218,0.0003026216,0.0003225491,0.0002379878],"domain_scores_gemma":[0.9862833,0.01112376,0.0009572269,0.0003475483,0.0007743363,0.0005138807],"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":[0.0007176139,0.0005291598,0.7329743,0.0002079861,0.001991668,0.001494359,0.0007725451,0.1478309,0.002137983,0.03641519,0.003689478,0.07123884],"study_design_scores_gemma":[0.00007344654,0.0008296744,0.287709,0.0001075627,0.000567234,0.0002978133,0.00143423,0.6809345,0.002569084,0.022162,0.003230715,0.0000846225],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9663695,0.001472223,0.02435674,0.0005085456,0.00005049879,0.00003221979,0.0006348254,0.00009675202,0.006478721],"genre_scores_gemma":[0.9961274,0.0002364815,0.001701487,0.00003267389,0.00004778978,0.00004059101,0.0007734249,0.00001037249,0.001029826],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007900045,"threshold_uncertainty_score":0.02723235,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04050925916132621,"score_gpt":0.2848230389891078,"score_spread":0.2443137798277816,"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."}}