{"id":"W2264477083","doi":"","title":"India’ Exports of Live Stock and Allied Products","year":2005,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Agricultural Economics and Practices","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"China; Geography; Agriculture; Agricultural economics; Business; Livestock; Stock (firearms); Sri lanka; Socioeconomics; Economics; Tanzania","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":[0.0005801973,0.0000883625,0.0001270241,0.000007342959,0.0001262426,0.00003958433,0.0001235264,0.00004810421,0.0001003003],"category_scores_gemma":[0.00002711857,0.00003008421,0.00003853725,0.00007591033,0.00002738413,0.0002946392,0.00002964795,0.0004480711,0.00001188478],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007243381,"about_ca_system_score_gemma":0.00007494945,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006111559,"about_ca_topic_score_gemma":0.001518081,"domain_scores_codex":[0.9989142,0.00002804503,0.0001979631,0.0001415307,0.0000838952,0.0006343115],"domain_scores_gemma":[0.9995689,0.0000517633,0.0002461424,0.00002289879,0.00005468496,0.00005559352],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0001237666,0.0001983169,0.02389052,0.000007272089,0.0001820297,0.000002768648,0.0005668956,0.00001535625,0.07208043,0.02758648,0.0005878879,0.8747583],"study_design_scores_gemma":[0.001064537,0.003877199,0.6842186,0.00005659388,0.0001465909,0.002420984,0.01109118,0.00007192342,0.009503572,0.06899262,0.2174332,0.001123078],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9922289,0.002730213,7.434043e-7,0.004296231,0.000038337,0.00008391198,0.000002293322,0.000007825589,0.0006115237],"genre_scores_gemma":[0.9931031,0.005594711,0.00004963586,0.00008573101,0.0004971062,0.000001711707,0.000005134159,5.830499e-7,0.0006622557],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8736352,"threshold_uncertainty_score":0.1946671,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01001829105863067,"score_gpt":0.1990671189780044,"score_spread":0.1890488279193737,"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."}}