{"id":"W3135596289","doi":"","title":"Role of MSME Sector in Indian Economy: A Study With Special Reference to Gujarat","year":2020,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Indian Economic and Social Development","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Entrepreneurship; Gross domestic product; Economy; Quarter (Canadian coin); Product (mathematics); Population; Business; State (computer science); Developing country; Small and medium-sized enterprises; Economic growth; Geography; Economics; Mathematics; Sociology","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":[0.000281128,0.0003257885,0.0002448021,0.001687216,0.002966979,0.002726436,0.0005877108,0.000657848,0.003607658],"category_scores_gemma":[0.0004794739,0.0003049288,0.0004793929,0.003402008,0.001241699,0.001123138,0.00146519,0.0009988777,0.0006741147],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002090835,"about_ca_system_score_gemma":0.001881753,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04231523,"about_ca_topic_score_gemma":0.08354171,"domain_scores_codex":[0.9996691,0.00007097169,0.00002123848,0.00003289705,0.00003901164,0.0001668591],"domain_scores_gemma":[0.9995897,0.00009988215,0.0001139789,0.00001343137,0.00004201121,0.0001408544],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002178538,0.001183109,0.6648883,0.001489685,0.0000971543,0.01918374,0.2377219,0.0003806666,0.00488298,0.01804595,0.007989439,0.0439193],"study_design_scores_gemma":[0.000004987673,0.0001863393,0.7866753,0.0003059661,0.00005678331,0.0034608,0.1848902,0.0001866486,0.0002464025,0.0005642399,0.02339102,0.00003124263],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9883284,0.001984165,0.00003769898,0.0013073,0.00001891489,0.00001673798,0.0001279697,0.000004010233,0.008174755],"genre_scores_gemma":[0.9915054,0.004879941,0.00006826198,0.0005698543,0.00002420807,0.00001229498,0.0001379565,0.000005045465,0.002796852],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04231523,"threshold_uncertainty_score":0.0841378,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0164655833595252,"score_gpt":0.1951003690615095,"score_spread":0.1786347857019843,"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."}}