{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006452334,0.0001194043,0.0001344027,0.00004572918,0.0001416815,0.00007623967,0.00007860379,0.00009316137,0.0001441194],"category_scores_gemma":[0.00001781528,0.00007270198,0.00001355239,0.00004984796,0.0001819266,0.0002805793,0.0001558838,0.00007391862,0.000002670619],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006900272,"about_ca_system_score_gemma":0.000004845334,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005152476,"about_ca_topic_score_gemma":0.0008870821,"domain_scores_codex":[0.9989565,0.00002769931,0.0002322398,0.0002698116,0.0001737287,0.0003400251],"domain_scores_gemma":[0.999741,0.0000128841,0.00002630143,0.0001318171,0.00003535578,0.00005268568],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003673732,0.0002099097,0.8701737,0.0006799846,0.00002095007,0.00001245057,0.08591513,0.00007126629,0.03103995,0.0006094415,0.0001868694,0.01071297],"study_design_scores_gemma":[0.001175008,0.00008291237,0.2851063,0.00001721743,0.00001663732,0.00001028307,0.004989772,0.000913651,0.0659577,0.004002801,0.6373987,0.0003289999],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998683,0.00002118833,0.0001802411,0.0001163588,0.00002522587,0.0004242857,0.000001588289,0.00001109808,0.0005370229],"genre_scores_gemma":[0.9982759,0.000002771693,0.0002770333,0.00004929243,0.00001425226,0.00003628864,0.00002580099,0.00001216347,0.001306433],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6372118,"threshold_uncertainty_score":0.2964701,"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."}}