{"id":"W7097671504","doi":"","title":"Book reviews The Dragon and the Elephant: Agricultural and Rural Reforms in China and India","year":2016,"lang":"en","type":"article","venue":"","topic":"Indian Economic and Social Development","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"China; Fell; Poverty; Agriculture; Rural poverty; Pace; Quarter (Canadian coin); Rural area","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":[0.000327455,0.0003957311,0.000371849,0.001009011,0.0008296912,0.002336579,0.000576908,0.0008020068,0.02810895],"category_scores_gemma":[0.001076363,0.0001585698,0.0002175401,0.00325081,0.0005129764,0.001349155,0.0004861129,0.001176379,0.005204586],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003269439,"about_ca_system_score_gemma":0.004939574,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02033488,"about_ca_topic_score_gemma":0.04128284,"domain_scores_codex":[0.999615,0.00004826142,0.00001442215,0.00004022764,0.0002298661,0.0000522549],"domain_scores_gemma":[0.999449,0.000129275,0.00005265343,0.00002574465,0.0002343904,0.0001090607],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001267707,0.00003097752,0.0002815683,0.0005274175,0.000007850485,0.0001040398,0.000320185,0.0003065136,0.0001224375,0.01723633,0.9047759,0.07627406],"study_design_scores_gemma":[0.000002786693,0.00001745052,0.001730864,0.0003049388,0.000003435654,0.00004028431,0.0001937193,0.00004401661,0.00004344666,0.0009649047,0.9966481,0.000005999571],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00583556,0.4772865,0.0005601285,0.06094135,0.02432651,0.00009252253,0.0007315684,0.0002031637,0.4300227],"genre_scores_gemma":[0.03075064,0.346533,0.0004278049,0.01119465,0.01850923,0.0001047192,0.001037662,0.00008135943,0.5913609],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.02810895,"threshold_uncertainty_score":0.09403384,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007276098208671721,"score_gpt":0.1738359081526102,"score_spread":0.1665598099439385,"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."}}