{"id":"W2373199535","doi":"","title":"Sustainable development evaluation based on ecological footprint:a case study of Ningxia Hui Autonomous Region","year":2013,"lang":"en","type":"article","venue":"Ganhanqu dili","topic":"Water Resources and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Ecological footprint; Sustainable development; Environmental resource management; Ecological deficit; Carrying capacity; Scale (ratio); Consumption (sociology); Footprint; Environmental science; Environmental economics; Geography; Ecology; Economics; Cartography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008565423,0.0001604783,0.0001832624,0.00005589038,0.0002369271,0.00003966482,0.0001838268,0.00007365312,0.001544732],"category_scores_gemma":[0.0001426433,0.0001265638,0.00004309144,0.0001965158,0.00009931466,0.00008733875,0.0002188855,0.0001105506,0.00008936044],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000821093,"about_ca_system_score_gemma":0.00005335051,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005918981,"about_ca_topic_score_gemma":0.0004191257,"domain_scores_codex":[0.9981174,0.0002548684,0.0003391195,0.0004341297,0.0004681893,0.0003862669],"domain_scores_gemma":[0.9992268,0.00006760972,0.0001107773,0.0004076755,0.0000711778,0.0001159338],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001337084,0.007356361,0.774471,0.0001249726,0.00003723589,0.001941711,0.0308247,0.09147953,0.0002983267,0.00004001378,0.0007067399,0.09258566],"study_design_scores_gemma":[0.001629316,0.001665369,0.9112108,0.000008325967,0.00003400698,0.00005923423,0.05111623,0.03010332,0.001311075,0.0005048724,0.001998262,0.0003592133],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9954025,0.000002997029,0.0001302334,0.0001116093,0.00002905019,0.001894716,1.347903e-7,0.00003929425,0.002389477],"genre_scores_gemma":[0.9982814,1.13761e-7,0.0002221706,0.00004905485,0.000009940029,0.0003188363,0.000002507658,0.00001027038,0.00110566],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1367397,"threshold_uncertainty_score":0.999368,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02313935476194873,"score_gpt":0.2501491369950535,"score_spread":0.2270097822331048,"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."}}