{"id":"W3026144097","doi":"","title":"IS INDIAN ECONOMY IN A SITUATION OF STAGFLATION","year":2020,"lang":"en","type":"article","venue":"Studies in Indian Place Names","topic":"Indian Economic and Social Development","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Stagflation; Economics; Inflation (cosmology); Quarter (Canadian coin); Slow growth; Unemployment; Order (exchange); Goods and services; Keynesian economics; Economic policy; Monetary economics; Macroeconomics; Market economy; Finance; Geography","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":[],"consensus_categories":[],"category_scores_codex":[0.000449363,0.000138456,0.0005141841,0.0003599004,0.00005504102,0.00001709602,0.0001450317,0.0001152281,0.0001620831],"category_scores_gemma":[0.0002275637,0.0001832345,0.00006009862,0.000345092,0.0001036955,0.0002500809,0.00006211835,0.0001603191,0.0002121524],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004049329,"about_ca_system_score_gemma":0.00007398263,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001285442,"about_ca_topic_score_gemma":0.00040515,"domain_scores_codex":[0.998558,0.0000208913,0.0008168989,0.0003274959,0.00002415057,0.0002525426],"domain_scores_gemma":[0.999361,0.00008353055,0.0003706331,0.0001076001,0.00002296174,0.00005423898],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003698791,0.00004267232,0.6157835,0.0002114936,0.0001128423,0.00001693426,0.3591566,0.000203084,0.000001317862,0.02053503,0.002290309,0.001609227],"study_design_scores_gemma":[0.008185375,0.0003830661,0.6098579,0.0004540514,0.00001468609,0.000004473448,0.1813927,0.001606726,0.001128829,0.1367552,0.05803632,0.00218076],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9791796,0.001625575,0.00003193627,0.003429646,0.0002327955,0.0003481985,0.00009050164,0.00001254818,0.0150492],"genre_scores_gemma":[0.9977993,0.000603859,0.0002990004,0.0009739168,0.00006729829,0.00003916707,0.0000135278,0.00001378852,0.0001901759],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1777639,"threshold_uncertainty_score":0.7472087,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0653630797189048,"score_gpt":0.2677109148092928,"score_spread":0.202347835090388,"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."}}