{"id":"W2923600603","doi":"10.3390/w11030607","title":"Water Security Assessment of China’s One Belt and One Road Region","year":2019,"lang":"en","type":"article","venue":"Water","topic":"Water Resources and Sustainability","field":"Environmental Science","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"National Natural Science Foundation of China","keywords":"Water security; China; Environmental science; Socioeconomic development; Water resource management; Environmental economics; Water resources; Business; Environmental resource management; Geography; Economics; Economic growth","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":[0.0008003771,0.0004620373,0.0003334599,0.001673896,0.0004276704,0.0008004031,0.0005038237,0.000478362,0.0008126875],"category_scores_gemma":[0.0007213129,0.0001897512,0.0009736685,0.001329521,0.0004929462,0.0007443676,0.0009065761,0.0001925682,0.00006496817],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002341909,"about_ca_system_score_gemma":0.001856726,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09193894,"about_ca_topic_score_gemma":0.06397025,"domain_scores_codex":[0.9996908,0.00006339929,0.00001865588,0.00004529673,0.00009703796,0.00008487614],"domain_scores_gemma":[0.999671,0.00006817644,0.00006666163,0.00002855339,0.0001115021,0.00005417686],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0002722653,0.0001686165,0.2513616,0.0001797466,0.0002508151,0.001553611,0.0007696881,0.6842593,0.01084878,0.006094479,0.001480826,0.04276027],"study_design_scores_gemma":[0.00003826572,0.000197935,0.2313505,0.00002667081,0.0001204933,0.0000899807,0.001060092,0.7596911,0.003538957,0.002279062,0.001554034,0.00005294285],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9956515,0.00008865596,0.001704908,0.0001364074,0.000004750073,0.00002486279,0.0002377449,0.00003572976,0.00211541],"genre_scores_gemma":[0.9991086,0.00006107386,0.0003496615,0.00000746657,0.000001385344,0.000007286314,0.0001390409,0.000003224186,0.0003222173],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09193894,"threshold_uncertainty_score":0.1828076,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00686694686818135,"score_gpt":0.2128200657351095,"score_spread":0.2059531188669281,"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."}}