{"id":"W4206266179","doi":"10.21203/rs.3.rs-1202314/v1","title":"Integrating crop redistribution and improved managements could meet China’s food demand with lower environmental costs","year":2022,"lang":"en","type":"preprint","venue":"Research Square","topic":"Agricultural risk and resilience","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Chinese Universities Scientific Fund","keywords":"Redistribution (election); China; Economics; Crop; Business; Natural resource economics; Agricultural economics; Environmental economics; Agronomy; Geography; Political science; Biology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001119579,0.0004133886,0.0002607708,0.000687196,0.0004911635,0.0006855234,0.0005444353,0.0003206891,0.002498745],"category_scores_gemma":[0.0008606554,0.0001116518,0.0004823097,0.0009587594,0.0004450481,0.0008435188,0.0008885082,0.0002547224,0.0001892673],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001905097,"about_ca_system_score_gemma":0.004068671,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01127095,"about_ca_topic_score_gemma":0.02476282,"domain_scores_codex":[0.999524,0.0001285851,0.00002242718,0.00009836991,0.00009901728,0.0001276096],"domain_scores_gemma":[0.999605,0.00003890184,0.0001151609,0.00006952009,0.00009452702,0.00007705012],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006452776,0.001305452,0.307546,0.0007460991,0.0004856812,0.00110551,0.0008057697,0.1242911,0.1661822,0.0147424,0.005726039,0.3764186],"study_design_scores_gemma":[0.0001825586,0.002061142,0.6868182,0.0001662224,0.0005478771,0.0002948238,0.003016019,0.1728248,0.05934587,0.02400577,0.05060564,0.0001311272],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9712265,0.0003427684,0.01756925,0.001156823,0.00003407686,0.0001596953,0.000339495,0.0002216755,0.008949813],"genre_scores_gemma":[0.9844459,0.0001755101,0.01385025,0.00008213499,0.00001083278,0.00005221326,0.0001818781,0.00001430527,0.001187031],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01127095,"threshold_uncertainty_score":0.02241069,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01892142797723883,"score_gpt":0.2840207251989301,"score_spread":0.2650992972216912,"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."}}