{"id":"W3121512820","doi":"","title":"Temporal causal relationship between stock market capitalization, trade openness and real GDP: evidence from Thailand","year":2014,"lang":"en","type":"preprint","venue":"Munich Personal RePEc Archive (Ludwig Maximilian University of Munich)","topic":"Fiscal Policy and Economic Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Openness to experience; Market capitalization; Capitalization; Economics; Short run; Stock market; Monetary economics; Quarter (Canadian coin); Stock (firearms); Spurious relationship; International economics; Geography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0006021286,0.0002209242,0.0001925794,0.001356094,0.000285556,0.0009769041,0.0001675174,0.0002136322,0.003192439],"category_scores_gemma":[0.002727273,0.0001609741,0.0004105768,0.003026361,0.0004244393,0.0007513848,0.0006844925,0.00045744,0.0003074745],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002852635,"about_ca_system_score_gemma":0.0006085583,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02107714,"about_ca_topic_score_gemma":0.02562947,"domain_scores_codex":[0.9997234,0.00008359599,0.00004466223,0.00004677277,0.00004930663,0.00005221335],"domain_scores_gemma":[0.9942315,0.002385686,0.002305661,0.0001772656,0.0005068009,0.0003930769],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001201881,0.00004463983,0.9912814,0.0001075757,0.0001823099,0.0007349388,0.0005377243,0.0005275679,0.0001999745,0.0003630464,0.000322831,0.005577843],"study_design_scores_gemma":[0.000009008598,0.00004691661,0.9947245,0.00006084032,0.0001774939,0.0003370267,0.001884834,0.001129492,0.0002525174,0.0003226409,0.001041924,0.00001286632],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9953434,0.001027385,0.0002483797,0.000232299,0.000008175917,0.000004711388,0.001365282,0.00000487641,0.001765436],"genre_scores_gemma":[0.9972988,0.001128203,0.00009006113,0.00002321711,0.00001309417,0.000003921502,0.001115908,0.000002269297,0.0003245184],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02107714,"threshold_uncertainty_score":0.04190892,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06890728126939716,"score_gpt":0.2329242456604646,"score_spread":0.1640169643910674,"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."}}