{"id":"W3172734361","doi":"","title":"IMPACT OF CORONA VIRUS (COVID-19) ON ECONOMIC GROWTH OF INDIAIMPACT OF CORONA VIRUS (COVID-19) ON ECONOMIC GROWTH OF INDIA","year":2021,"lang":"en","type":"article","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"COVID-19 Pandemic Impacts","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Education and Early Childhood Development","funders":"","keywords":"Crore; Lakh; Coronavirus disease 2019 (COVID-19); Government (linguistics); Pandemic; Business; Development economics; Economics; Economy; Economic growth; Geography; Agriculture; Poverty","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":[0.0005569761,0.0003034729,0.0002577677,0.001316603,0.0004397956,0.0021741,0.0003399345,0.0003802818,0.003859154],"category_scores_gemma":[0.002860876,0.000137461,0.0005716823,0.002804267,0.0005649937,0.0008749319,0.001315155,0.001403558,0.0003165757],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004038983,"about_ca_system_score_gemma":0.003314413,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1218864,"about_ca_topic_score_gemma":0.0935269,"domain_scores_codex":[0.9993255,0.0001031885,0.00002922543,0.00003440637,0.0001284726,0.0003793112],"domain_scores_gemma":[0.9973131,0.0007266446,0.0006858819,0.00008437642,0.0007010281,0.000488981],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001168723,0.0003019578,0.83318,0.0004895191,0.0004692375,0.004122605,0.001550934,0.03402624,0.002180539,0.05038775,0.02821061,0.04391192],"study_design_scores_gemma":[0.00001869553,0.0001402965,0.9662858,0.0001175656,0.0001636763,0.0003887988,0.003360915,0.009008198,0.001013734,0.004410161,0.01504678,0.00004527032],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9602321,0.002467029,0.0002759597,0.01052113,0.0001511377,0.00001754905,0.005418325,0.00003601172,0.02088079],"genre_scores_gemma":[0.9957418,0.001491878,0.00005592523,0.0001100891,0.00004176871,0.000003835704,0.000849437,0.000004879851,0.001700417],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1218864,"threshold_uncertainty_score":0.2423539,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04619577579626154,"score_gpt":0.2881611917372067,"score_spread":0.2419654159409452,"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."}}