{"id":"W1987852361","doi":"10.5539/ass.v6n9p114","title":"The Nexus between Finance, Growth and Poverty in India: The Cointegration and Causality Approach1","year":2010,"lang":"en","type":"article","venue":"Asian Social Science","topic":"Income, Poverty, and Inequality","field":"Social Sciences","cited_by":42,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cointegration; Nexus (standard); Economics; Poverty reduction; Causality (physics); Poverty; Granger causality; Macroeconomics; Development economics; Econometrics; Economic growth","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":[0.0005069775,0.0002721354,0.00028794,0.002785125,0.0004524688,0.001166732,0.0002702662,0.0003955,0.002099653],"category_scores_gemma":[0.002083163,0.0001827853,0.0004513528,0.003362414,0.0009233852,0.001033668,0.001027125,0.0008136232,0.0001705415],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009377658,"about_ca_system_score_gemma":0.001280664,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01383236,"about_ca_topic_score_gemma":0.0149704,"domain_scores_codex":[0.9996589,0.0001280429,0.00002114223,0.00003941956,0.00005198164,0.0001005865],"domain_scores_gemma":[0.9983683,0.0009570277,0.0004345022,0.00004720556,0.000118382,0.00007453602],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001325269,0.0001338391,0.8122859,0.0003398198,0.000383421,0.00179295,0.002082993,0.02518442,0.0006625123,0.09009591,0.003478653,0.06342703],"study_design_scores_gemma":[0.0000200613,0.0002878033,0.8440481,0.0003984121,0.0004024781,0.001061803,0.00496497,0.06128794,0.001535033,0.07265881,0.01326516,0.00006937324],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9726771,0.005477588,0.00623699,0.002783845,0.00007800807,0.00003293234,0.0007511675,0.0000466788,0.01191575],"genre_scores_gemma":[0.9966826,0.001781036,0.0005071742,0.00003595524,0.00002343924,0.00001033707,0.000194304,0.000002898347,0.000762278],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01383236,"threshold_uncertainty_score":0.02750367,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02042718605417872,"score_gpt":0.3010191230556271,"score_spread":0.2805919370014484,"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."}}