{"id":"W4386417663","doi":"10.3390/foods12173298","title":"Understanding Global Rice Trade Flows: Network Evolution and Implications","year":2023,"lang":"en","type":"article","venue":"Foods","topic":"Agriculture, Land Use, Rural Development","field":"Agricultural and Biological Sciences","cited_by":47,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Key Research and Development Program of China; National Natural Science Foundation of China","keywords":"Food security; Diversification (marketing strategy); International trade; China; Global network; Business; Agriculture; Economic geography; Economics; Geography; Engineering","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":[0.0008203631,0.0003167644,0.0001689061,0.003334047,0.0004726372,0.001822061,0.0003990016,0.0006789435,0.001984084],"category_scores_gemma":[0.00489289,0.0001784711,0.0003116861,0.004427203,0.0006318541,0.004860973,0.0009019072,0.0005288876,0.0002087109],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001265833,"about_ca_system_score_gemma":0.0004655136,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01361945,"about_ca_topic_score_gemma":0.0135355,"domain_scores_codex":[0.9997379,0.0001144018,0.00001122071,0.00007138714,0.0000295093,0.00003555128],"domain_scores_gemma":[0.9977129,0.001300358,0.0005761191,0.00009002363,0.0002110285,0.0001096429],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001139506,0.0001018398,0.6532708,0.0004149273,0.0002079649,0.0005954724,0.004625858,0.1298429,0.001721532,0.07792848,0.005460994,0.1257152],"study_design_scores_gemma":[0.000009371681,0.00006754087,0.391665,0.000278456,0.0001206241,0.0003253902,0.01210227,0.4507542,0.0007107414,0.1223492,0.02156529,0.00005202174],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9195257,0.003680532,0.04655449,0.006808966,0.0000646539,0.00007355453,0.003095987,0.000125286,0.02007076],"genre_scores_gemma":[0.9890771,0.002435893,0.006409653,0.0001346202,0.00005311751,0.00003887458,0.0008831673,0.00001503682,0.0009525141],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01361945,"threshold_uncertainty_score":0.02708036,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07375042636633963,"score_gpt":0.2454778492991964,"score_spread":0.1717274229328567,"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."}}