{"id":"W2274581745","doi":"10.2139/ssrn.2624150","title":"Stock Market Development and Economic Growth: Empirical Evidence from Kazakhstan","year":2015,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Economic Growth and Development","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"York University","funders":"","keywords":"Stock market; Economics; Stock market bubble; Empirical evidence; Business; Monetary economics; Financial economics; Geography","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":[0.0006565871,0.0002894132,0.000341115,0.001571085,0.0008829172,0.001161611,0.0003255386,0.0003710738,0.002482614],"category_scores_gemma":[0.002080566,0.0001477355,0.0003485077,0.004113046,0.0008429965,0.0006939376,0.0006554539,0.0004709584,0.0003549896],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005448342,"about_ca_system_score_gemma":0.0008492242,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03603536,"about_ca_topic_score_gemma":0.04417406,"domain_scores_codex":[0.9997696,0.00006547332,0.00002544473,0.00003128072,0.00003722735,0.00007100483],"domain_scores_gemma":[0.9976323,0.0009038613,0.0008510866,0.0001244997,0.000274771,0.0002135845],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00020249,0.000126023,0.9874864,0.00004545658,0.0001221564,0.000438069,0.001435564,0.0002759971,0.0002119389,0.0008511433,0.0005893314,0.008215553],"study_design_scores_gemma":[0.00001208795,0.00005093064,0.9962878,0.00001730448,0.0000941273,0.0001128739,0.002092982,0.0002383517,0.000100869,0.0002232921,0.000764861,0.00000436516],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981115,0.000478433,0.00003176206,0.0001263176,0.000004373934,0.00000200601,0.000207154,0.00000242227,0.001035969],"genre_scores_gemma":[0.9990538,0.0003669447,0.00002097028,0.0000201197,0.00001133683,0.000001329308,0.0003690169,9.60609e-7,0.0001555099],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03603536,"threshold_uncertainty_score":0.07165122,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04255475733682399,"score_gpt":0.2572692129108705,"score_spread":0.2147144555740465,"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."}}