{"id":"W2369209401","doi":"","title":"Development and utilization and Counter measure for sustainable utilization of Water Resources in Zhidan country","year":2010,"lang":"en","type":"article","venue":"Ground Water","topic":"Water Resources and Sustainability","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Science North","funders":"","keywords":"Water resources; Sustainable development; Business; Order (exchange); Water resource management; Resource (disambiguation); Natural resource economics; Measure (data warehouse); Environmental planning; Environmental resource management; Environmental economics; Environmental science; Economics; Computer science; Finance; Political science","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":[0.0006130458,0.000339612,0.0001740562,0.001269415,0.0009897306,0.001265065,0.0004782688,0.0005045651,0.001167884],"category_scores_gemma":[0.000492845,0.0001672789,0.0001610241,0.0009755875,0.0005734854,0.0007655986,0.001199288,0.0004315875,0.00006298289],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001752548,"about_ca_system_score_gemma":0.007837502,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009475521,"about_ca_topic_score_gemma":0.01267159,"domain_scores_codex":[0.9996415,0.00009872021,0.00003223752,0.00004148449,0.0001032862,0.00008264414],"domain_scores_gemma":[0.9998608,0.0000196998,0.00003334434,0.00001067324,0.00005054401,0.0000249276],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0002187084,0.0005156648,0.09732665,0.003790632,0.0001926687,0.002978648,0.004755057,0.01222969,0.02938475,0.2577859,0.02517278,0.5656489],"study_design_scores_gemma":[0.0002312927,0.0005997887,0.3298052,0.001937691,0.0003268526,0.001245223,0.01103102,0.01576565,0.02822443,0.05145393,0.5592077,0.0001712458],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7662078,0.02728935,0.02931066,0.02434359,0.0006557732,0.000707899,0.0005506062,0.0003680108,0.1505663],"genre_scores_gemma":[0.9684921,0.009947279,0.01243092,0.0007251508,0.00005917562,0.0001379446,0.0002411421,0.00001099364,0.007955338],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009475521,"threshold_uncertainty_score":0.01884073,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01530163210333569,"score_gpt":0.2239001041103789,"score_spread":0.2085984720070432,"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."}}