{"id":"W2036395007","doi":"10.1016/j.aaspro.2010.09.050","title":"Make full use of two kinds of resources and two markets to protect our food security and raise farmers’ income Taking soybeans as an example","year":2010,"lang":"en","type":"article","venue":"Agriculture and Agricultural Science Procedia","topic":"Agricultural Innovations and Practices","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"China; Profit (economics); Food security; Agriculture; Business; Unit (ring theory); Agricultural economics; Key (lock); Comparative advantage; Natural resource economics; Economics; International trade; Microeconomics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007737904,0.0004046735,0.0004378102,0.00006365711,0.0007461081,0.000497724,0.0004549963,0.0001692716,0.00003006378],"category_scores_gemma":[0.0003256681,0.0001317595,0.00006633741,0.002233661,0.0003797266,0.001767394,0.0003904061,0.0004363102,0.000001594711],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001481335,"about_ca_system_score_gemma":0.00002067367,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002642797,"about_ca_topic_score_gemma":0.00828592,"domain_scores_codex":[0.9973635,0.00008937062,0.0005168123,0.0008728319,0.0006067489,0.0005507053],"domain_scores_gemma":[0.9979092,0.0002149924,0.0005932457,0.0001128915,0.0007126967,0.0004569426],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00006119488,0.00009613593,0.01488051,0.00003643527,0.00001789864,0.000001728028,0.002423995,0.000001531124,0.9656398,0.001478631,0.00009666066,0.01526545],"study_design_scores_gemma":[0.0003852473,0.001366755,0.9471306,0.0001003477,0.00005917528,0.0003019508,0.01069619,0.00001748016,0.0349821,0.0005964711,0.00373503,0.0006287037],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969853,0.0001322756,8.355527e-7,0.00142365,0.0001117005,0.000841024,0.00007045701,0.00006018075,0.0003745354],"genre_scores_gemma":[0.9982842,0.00005658167,0.00103427,0.0001581332,0.0003019853,0.00004938989,0.00003567816,0.000002032924,0.00007772684],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.93225,"threshold_uncertainty_score":0.5738536,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03124464244255662,"score_gpt":0.2661811897634541,"score_spread":0.2349365473208974,"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."}}