{"id":"W2749451489","doi":"10.6000/1929-7092.2017.06.44","title":"Effects of Market Reforms and External Shocks on Indian Stock Indices: Evidence on Structural Breaks and Weak-Form Efficiency","year":2017,"lang":"en","type":"article","venue":"Journal of Reviews on Global Economics","topic":"Market Dynamics and Volatility","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Economics; Stock market; Monetary economics; Market efficiency; Stock (firearms); Financial economics; Econometrics; 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":[0.001533697,0.0002587109,0.0004763903,0.001619012,0.0004777942,0.001746232,0.0005372876,0.000559138,0.003404468],"category_scores_gemma":[0.01333258,0.0002629935,0.0007039017,0.002133105,0.001626455,0.001285553,0.00145934,0.001309382,0.0004938104],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006221374,"about_ca_system_score_gemma":0.0003937338,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006704838,"about_ca_topic_score_gemma":0.004976304,"domain_scores_codex":[0.9988104,0.0002709561,0.0001484347,0.0002315008,0.0002996629,0.0002389661],"domain_scores_gemma":[0.9811751,0.006039435,0.008339231,0.002472032,0.001087093,0.0008871589],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003990193,0.000160328,0.9563118,0.00007065212,0.0004355876,0.0004469708,0.0006793145,0.005610873,0.002117322,0.006168791,0.000673123,0.02692622],"study_design_scores_gemma":[0.000011033,0.0001144248,0.9918786,0.000009296945,0.0000775156,0.0001072268,0.0003777946,0.003531849,0.0007845259,0.002248897,0.0008426755,0.0000161334],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9950694,0.0002775686,0.0009997247,0.0002287264,0.00000713628,0.00000995323,0.0002032091,0.00003629432,0.003168059],"genre_scores_gemma":[0.9992749,0.0001424625,0.0001180174,0.00002370382,0.00001515627,0.000002276049,0.0001978623,0.000005570419,0.0002199683],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006704838,"threshold_uncertainty_score":0.01333159,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.024607184617651,"score_gpt":0.2719233423650677,"score_spread":0.2473161577474167,"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."}}