{"id":"W4400917021","doi":"10.1038/s43247-024-01560-y","title":"The increasing water stress projected for China could shift the agriculture and manufacturing industry geographically","year":2024,"lang":"en","type":"article","venue":"Communications Earth & Environment","topic":"Water Resources and Sustainability","field":"Environmental Science","cited_by":47,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Regina","funders":"Fundamental Research Funds for the Central Universities; National Natural Science Foundation of China","keywords":"China; Agriculture; Economic geography; Business; Geography; Natural resource economics; Economics; Archaeology","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.0006196113,0.0001416306,0.00008266606,0.00001413323,0.00137113,0.0002658873,0.0006781737,0.0001113903,0.00007478724],"category_scores_gemma":[0.00001425786,0.00006299278,0.00006401815,0.0000516103,0.0007241141,0.0001008257,0.001052814,0.0005310296,0.00001901232],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006026481,"about_ca_system_score_gemma":0.000004087081,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000446792,"about_ca_topic_score_gemma":0.0002192066,"domain_scores_codex":[0.9988648,0.0002133633,0.0001914166,0.0002575302,0.0001826434,0.0002902618],"domain_scores_gemma":[0.9986063,0.0002202266,0.00002865997,0.001076859,0.000001944064,0.00006602563],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003588588,0.00166401,0.5338684,0.0005197665,0.000882963,0.00002570587,0.06144926,0.02756125,0.02157384,0.005379797,0.003895487,0.3428206],"study_design_scores_gemma":[0.00008819588,0.00003007389,0.5184385,0.00001689581,0.00003119237,0.00000666006,0.0005170581,0.001549732,0.001304763,0.0009755517,0.4769183,0.0001231066],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9812471,0.0008261038,0.0001606074,0.01638094,0.0000218615,0.0008560975,0.00002031574,0.0000435984,0.000443381],"genre_scores_gemma":[0.9982901,0.0004540375,0.0003743703,0.00007665857,0.00002243182,0.0002285459,0.00003478453,0.00001238967,0.0005066845],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4730228,"threshold_uncertainty_score":0.999929,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008366245126819128,"score_gpt":0.2190812327519416,"score_spread":0.2107149876251224,"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."}}