{"id":"W2788274012","doi":"10.3390/su10020410","title":"Transfer of Virtual Water of Woody Forest Products from China","year":2018,"lang":"en","type":"article","venue":"Sustainability","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Startup Foundation for Introducing Talent of Nanjing University of Information Science and Technology; National Key Research and Development Program of China; Nanjing University of Information Science and Technology","keywords":"Virtual water; China; Agriculture; International trade; Agricultural economics; Water transfer; Geography; Russian federation; Business; Environmental science; Environmental protection; Water scarcity; Water resource management; Economics; Regional 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":[0.0002650081,0.0003257562,0.0001779328,0.002069422,0.000455589,0.001046439,0.0002083742,0.0001668029,0.001968225],"category_scores_gemma":[0.0004721923,0.0001393306,0.0005008423,0.0036739,0.0003476771,0.0008184879,0.0007189826,0.000170022,0.0001827271],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001363709,"about_ca_system_score_gemma":0.001791908,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08056774,"about_ca_topic_score_gemma":0.0542272,"domain_scores_codex":[0.9997781,0.00001325852,0.00001783605,0.00004488279,0.00008529993,0.00006056706],"domain_scores_gemma":[0.9997337,0.0000272141,0.00008140366,0.00002866189,0.00009468284,0.00003433767],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000208833,0.00008532918,0.8382407,0.0003059165,0.0001811942,0.002301152,0.002924175,0.009388937,0.009061121,0.003844318,0.006765755,0.1266926],"study_design_scores_gemma":[0.000007003642,0.00003798604,0.9803996,0.00001856206,0.00004389069,0.0001632287,0.001333872,0.005464764,0.002017608,0.0004219004,0.01006747,0.00002407522],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9935377,0.0001259931,0.0003111945,0.000111847,0.000006551316,0.00001202861,0.00118209,0.00003802839,0.004674521],"genre_scores_gemma":[0.9943281,0.0003099841,0.000389008,0.0000321654,0.000007460952,0.00001125674,0.002362362,0.000009149121,0.002550529],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08056774,"threshold_uncertainty_score":0.1601976,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004273602718799404,"score_gpt":0.2172612916254219,"score_spread":0.2129876889066225,"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."}}