{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002623918,0.0001003123,0.0001707123,0.00001688225,0.00004910491,0.00002286842,0.0001152017,0.00005605424,0.001833925],"category_scores_gemma":[0.00000145558,0.0000573523,0.00003945667,0.00002265895,0.0001160277,0.0001479163,0.0003623324,0.00009602531,0.0001119405],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007719371,"about_ca_system_score_gemma":0.000002220581,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002286541,"about_ca_topic_score_gemma":0.00005237354,"domain_scores_codex":[0.998988,0.00005672617,0.0001683522,0.0002751635,0.000223704,0.0002879982],"domain_scores_gemma":[0.9996037,0.000002952515,0.00002217,0.0003007307,0.000006310202,0.00006415647],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005797299,0.0004522103,0.8825398,0.0001915189,0.00003134479,0.000009409997,0.01220395,0.0001997702,0.101434,0.0001074452,0.0001852903,0.002587287],"study_design_scores_gemma":[0.0004958274,0.0001971363,0.9070178,0.00001247684,0.00001551501,0.000004664967,0.0001239163,0.0005239831,0.07937369,0.005089575,0.006956162,0.000189221],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9906561,0.000005314152,0.00001913948,0.001488125,0.00003233412,0.0002678116,0.000001330757,0.00001422597,0.007515661],"genre_scores_gemma":[0.9970856,0.000004171086,0.0001230893,0.00006239244,0.00001532081,0.000006350661,0.00001139517,0.000008529551,0.002683192],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02447801,"threshold_uncertainty_score":0.9990785,"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."}}