{"id":"W2356633616","doi":"","title":"International Innovative Products of Agricultural Insurance and Their Useability in China","year":2007,"lang":"en","type":"article","venue":"Shenyang Nongye Daxue xuebao","topic":"Agricultural risk and resilience","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Agriculture; Business; China; Revenue; Modernization theory; Agricultural economics; Index (typography); Agricultural science; Economic growth; Finance; Economics; Geography; Environmental science; Computer science","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":[0.0006462095,0.0001619599,0.0001326475,0.001486702,0.0005738633,0.001027486,0.0002051448,0.000198048,0.002812093],"category_scores_gemma":[0.0006983315,0.00006752614,0.0002302256,0.001066443,0.0007772223,0.0008153625,0.0006284626,0.0001670991,0.0001124575],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001311876,"about_ca_system_score_gemma":0.0007642847,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005860658,"about_ca_topic_score_gemma":0.00575973,"domain_scores_codex":[0.999793,0.00003551488,0.00001491824,0.00003370147,0.00007115107,0.00005175995],"domain_scores_gemma":[0.9994866,0.00007866853,0.0002605267,0.00006187643,0.00005566991,0.00005669228],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004847441,0.0003785815,0.5831385,0.00026099,0.0001774884,0.002607745,0.009771436,0.006561737,0.01742908,0.1423782,0.002303766,0.2345078],"study_design_scores_gemma":[0.0000428056,0.0004566253,0.9126334,0.00008858477,0.0001091939,0.0009284734,0.002937604,0.008112845,0.006697244,0.02292375,0.04502498,0.00004447666],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9845903,0.0007590295,0.0004766798,0.0001845776,0.000003799633,0.0000172673,0.00007097954,0.00001021523,0.01388711],"genre_scores_gemma":[0.997738,0.0003111979,0.0002373738,0.00001240906,0.000003796892,0.000004256115,0.0000441263,0.00000144972,0.001647274],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005860658,"threshold_uncertainty_score":0.01165307,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008692048578498536,"score_gpt":0.2160018160407003,"score_spread":0.2073097674622018,"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."}}