{"id":"W2908970492","doi":"10.31142/ijtsrd17055","title":"An Impact of GST on Textile Industry in India","year":2018,"lang":"en","type":"article","venue":"International Journal of Trend in Scientific Research and Development","topic":"Indian Economic and Social Development","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Textile; Textile industry; Business; Commerce; Industrial organization; Pulp and paper industry; Engineering; Geography; Archaeology","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":[0.0003318255,0.0001740351,0.00009551187,0.001224506,0.001361431,0.002549379,0.0004739153,0.0005081274,0.009928503],"category_scores_gemma":[0.0008222887,0.0001298026,0.0004389564,0.002554325,0.0009493302,0.0007286182,0.00157642,0.00102936,0.001019408],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004219052,"about_ca_system_score_gemma":0.003251228,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04285863,"about_ca_topic_score_gemma":0.05744756,"domain_scores_codex":[0.9989729,0.0001559867,0.0000336493,0.00006116599,0.0003334644,0.000442813],"domain_scores_gemma":[0.9988318,0.0001803851,0.0003265761,0.00006467585,0.0003006343,0.0002958264],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007750932,0.0007238414,0.7384765,0.0007869148,0.0001052275,0.01845989,0.0146194,0.003647567,0.01070741,0.06729182,0.03409899,0.1103075],"study_design_scores_gemma":[0.000009167928,0.0002686363,0.8773787,0.0001454751,0.00005727076,0.002311833,0.02730752,0.0008963841,0.002173718,0.002136041,0.08726419,0.00005104397],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9028351,0.001212946,0.0001733998,0.006264918,0.0001290208,0.00001759569,0.0004962737,0.0000469628,0.08882383],"genre_scores_gemma":[0.9865653,0.001041785,0.00007625431,0.00070092,0.0000338669,0.000003485942,0.0001319185,0.000007058591,0.01143938],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04285863,"threshold_uncertainty_score":0.08521831,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.139197330279471,"score_gpt":0.4019062830401555,"score_spread":0.2627089527606844,"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."}}