{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.007960808,0.0001351254,0.000639518,0.002312468,0.001052356,0.0001574338,0.0008663436,0.00004525061,0.001628176],"category_scores_gemma":[0.002487618,0.0001511426,0.0005072866,0.003792327,0.00006703658,0.0001518658,0.0002917478,0.0005960912,0.00005649607],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003107997,"about_ca_system_score_gemma":0.0005178931,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002579289,"about_ca_topic_score_gemma":0.0006108243,"domain_scores_codex":[0.9974268,0.0002842622,0.0008825872,0.0004455799,0.000284543,0.0006761936],"domain_scores_gemma":[0.9977462,0.000453105,0.0005340276,0.000488968,0.0001465661,0.0006311361],"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":[0.0009324105,0.00204936,0.8394299,0.0000595676,0.006005073,0.0002425257,0.003952357,0.07505728,0.00000190049,0.0378028,0.03306674,0.001400118],"study_design_scores_gemma":[0.01100793,0.01070641,0.05200383,0.000009362097,0.0005019524,0.0001802062,0.03748544,0.006206637,0.000008417614,0.3458076,0.5351918,0.0008903888],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.985617,0.0006494361,0.001770668,0.003802349,0.0001981616,0.0008268144,0.001269144,0.00001576661,0.005850696],"genre_scores_gemma":[0.9986601,0.00003043134,0.000045231,0.0006265356,0.00008667186,0.0000907163,0.00001917135,0.00001173535,0.0004293363],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7874261,"threshold_uncertainty_score":0.9992844,"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."}}