{"id":"W2921735570","doi":"10.1177/0971523118825393","title":"Decoding the Great Indian Recapitalisation Plan: Restoring the Health of Public Sector Banks in India","year":2019,"lang":"en","type":"article","venue":"South Asian Survey","topic":"Banking stability, regulation, efficiency","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Recapitalization; Quarter (Canadian coin); Non-performing asset; Public sector; Government (linguistics); Private sector; Business; Asset (computer security); Crore; Financial system; Economics; Finance; Economic growth; Economy; Geography; Computer science","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":[0.002430884,0.000243502,0.0001648333,0.001212007,0.001087515,0.00346745,0.0009548699,0.0008183233,0.002129903],"category_scores_gemma":[0.007986079,0.0001347194,0.0002670153,0.001679709,0.001390811,0.001582248,0.002790299,0.001787405,0.0004869658],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004564967,"about_ca_system_score_gemma":0.0123845,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06476792,"about_ca_topic_score_gemma":0.07983388,"domain_scores_codex":[0.9981256,0.0005455921,0.0000869428,0.00009081382,0.0003593825,0.0007916395],"domain_scores_gemma":[0.995548,0.0007116451,0.001165024,0.0002906016,0.001283249,0.001001357],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004855022,0.000477993,0.5527581,0.0007924589,0.0001453853,0.002236454,0.02280391,0.007284573,0.001929625,0.06778128,0.107349,0.2359558],"study_design_scores_gemma":[0.00002396794,0.0003015624,0.872265,0.0006250645,0.00008648992,0.0005217711,0.05667919,0.003586655,0.001349982,0.006842643,0.0576213,0.00009648022],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8843601,0.002473671,0.001362212,0.07351016,0.0003847647,0.0001248018,0.001670168,0.0001728854,0.03594121],"genre_scores_gemma":[0.9947359,0.0007180775,0.0004378916,0.001718409,0.00006416558,0.0000211964,0.0003623801,0.00001036693,0.001931565],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06476792,"threshold_uncertainty_score":0.1287819,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.067776997297023,"score_gpt":0.2471413949684136,"score_spread":0.1793643976713906,"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."}}