{"id":"W1580516181","doi":"","title":"Drains, Hoards and Foreigners: Does the 19th Century Indian Economy have any Lessons for the 21st Century India?","year":2007,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Indian Economic and Social Development","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Independence (probability theory); Subsidy; Quarter (Canadian coin); Late 19th century; Investment (military); Economics; Population; Foreign direct investment; Economy; Development economics; Business; Political science; Geography; Market economy; Period (music); Law; Archaeology; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.007023379,0.0006755886,0.001196153,0.00092487,0.001261659,0.0008483355,0.001709315,0.001014121,0.0001523332],"category_scores_gemma":[0.0004568819,0.000548034,0.0004947241,0.0001620967,0.001172645,0.0002719488,0.001448619,0.002338844,0.00004588845],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002277242,"about_ca_system_score_gemma":0.0008081965,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004231691,"about_ca_topic_score_gemma":0.001417146,"domain_scores_codex":[0.9944612,0.0001313662,0.001775542,0.001670197,0.00009666197,0.001865008],"domain_scores_gemma":[0.9955816,0.001590017,0.0009384991,0.00143074,0.0001042462,0.0003549443],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002057138,0.0002589812,0.0422981,0.0005827085,0.001304923,0.00003210351,0.02255688,0.0005080863,8.956547e-7,0.5644499,0.0007856158,0.367016],"study_design_scores_gemma":[0.001480189,0.00009084629,0.04408377,0.0001519617,0.00002593533,0.0000140135,0.03469861,0.00113271,0.00002108253,0.09623218,0.8207112,0.001357514],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1828129,0.01327753,0.00005656967,0.01512768,0.005546089,0.010144,0.004491163,0.0001194228,0.7684246],"genre_scores_gemma":[0.8852214,0.1079842,0.0004513066,0.001275176,0.001178618,0.001284104,0.000253164,0.0001776841,0.002174352],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8199255,"threshold_uncertainty_score":0.9999628,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03609302697486105,"score_gpt":0.2900229321202329,"score_spread":0.2539299051453719,"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."}}