{"id":"W4229451660","doi":"10.36106/gjra/6707706","title":"A STUDY OF COVID-19 ON INDIAN ECONOMY","year":2022,"lang":"en","type":"article","venue":"GLOBAL JOURNAL FOR RESEARCH ANALYSIS","topic":"COVID-19 Pandemic Impacts","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Pandemic; Business; Quarter (Canadian coin); Coronavirus disease 2019 (COVID-19); Unemployment; Tourism; Economic growth; China; Tertiary sector of the economy; Development economics; Economy; Economics; Geography; Infectious disease (medical specialty)","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":[0.0006858138,0.0002393197,0.0002415962,0.002581659,0.002467259,0.004318299,0.0005074007,0.0006805446,0.007307166],"category_scores_gemma":[0.002389379,0.0001738268,0.0004724023,0.005685098,0.001368866,0.002155324,0.001633971,0.001656293,0.0004645599],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003988907,"about_ca_system_score_gemma":0.006008728,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03492056,"about_ca_topic_score_gemma":0.03775914,"domain_scores_codex":[0.9991141,0.000242105,0.00005011734,0.00006385029,0.0001707076,0.0003591687],"domain_scores_gemma":[0.9977094,0.0007231277,0.0007150541,0.00005028581,0.0003577434,0.0004443581],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000242111,0.001110494,0.6586548,0.00326278,0.0002081811,0.01045152,0.06165015,0.001178251,0.0008816653,0.1253373,0.04763913,0.08938349],"study_design_scores_gemma":[0.00001068816,0.0001730434,0.7273944,0.001691463,0.00009235252,0.001506465,0.1579457,0.0006388412,0.0002609282,0.0054582,0.1047742,0.00005382448],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8247096,0.01503578,0.0002290115,0.01946644,0.0002762137,0.00008883241,0.001302705,0.00001527015,0.1388761],"genre_scores_gemma":[0.9865609,0.008573158,0.00008331317,0.0009991052,0.00009454675,0.00002335358,0.0002229196,0.000005378197,0.003437357],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03492056,"threshold_uncertainty_score":0.06943464,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2022754432295661,"score_gpt":0.4436896888725914,"score_spread":0.2414142456430253,"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."}}