{"id":"W3021105347","doi":"10.3968/11540","title":"Research on Sustainable Development of Xi’an City Based on ecological Footprint Model","year":2020,"lang":"en","type":"article","venue":"Canadian social science","topic":"Water Resources and Sustainability","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Ecological footprint; Per capita; Ecological deficit; Sustainable development; Carrying capacity; Investment (military); Ecology; Natural resource economics; Geography; Environmental science; Economics; Population; Political science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004117119,0.0004563287,0.0003154534,0.001255372,0.0004269565,0.001405692,0.0006098996,0.0004129609,0.001938886],"category_scores_gemma":[0.0007076801,0.0001832729,0.0006199798,0.002235469,0.0004188847,0.002213526,0.0007645706,0.0005385099,0.0001454158],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003017133,"about_ca_system_score_gemma":0.002247866,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06412928,"about_ca_topic_score_gemma":0.05101015,"domain_scores_codex":[0.999828,0.00005110362,0.000007876195,0.00002777793,0.00004829929,0.00003702797],"domain_scores_gemma":[0.9998294,0.00004955578,0.00002104077,0.00001160578,0.00006521518,0.00002314601],"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":[0.00002098711,0.00006616712,0.03688997,0.0001879197,0.0001203776,0.0002905815,0.0002403288,0.7787076,0.0004884113,0.1353059,0.004291714,0.04339009],"study_design_scores_gemma":[0.000007275778,0.00002391066,0.01163409,0.0000680707,0.00004742005,0.00006811532,0.0005490872,0.9457499,0.0002867797,0.03418197,0.007356886,0.0000265534],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6556481,0.004518291,0.2042227,0.00521725,0.0002120739,0.0001454277,0.001808119,0.0004199099,0.1278082],"genre_scores_gemma":[0.9835798,0.002286613,0.009275868,0.00005926178,0.00001835767,0.00006207146,0.0004712015,0.00002702933,0.004219827],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06412928,"threshold_uncertainty_score":0.127512,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07393157617411704,"score_gpt":0.3111166730863771,"score_spread":0.23718509691226,"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."}}