{"id":"W2350309425","doi":"","title":"Urban material flow of Xi'an City in ecological construction","year":2015,"lang":"en","type":"article","venue":"Ganhanqu ziyuan yu huanjing","topic":"Environmental Quality and Pollution","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Science North","funders":"","keywords":"Material flow analysis; Material flow; Productivity; Flow (mathematics); Resource (disambiguation); Environmental science; Scale (ratio); Ecology; Environmental resource management; Geography; Mathematics; Computer science; Economics","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":[0.0001938138,0.0001950706,0.000115625,0.002285262,0.0004205538,0.0005582524,0.0001932089,0.0001851673,0.001363916],"category_scores_gemma":[0.0002070588,0.0002174897,0.000257939,0.003443843,0.0002459945,0.0003602224,0.000471477,0.0001509175,0.0001330938],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00183245,"about_ca_system_score_gemma":0.0007675604,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05506674,"about_ca_topic_score_gemma":0.1282064,"domain_scores_codex":[0.9998839,0.00001497982,0.00001217804,0.00002697358,0.00002925236,0.00003279479],"domain_scores_gemma":[0.9998841,0.00001683591,0.00004032559,0.000007857184,0.00002974682,0.00002109373],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001081293,0.00006439179,0.9781073,0.00007679308,0.00004784959,0.000291533,0.001751231,0.002077375,0.001128852,0.0007794606,0.0005822128,0.01498493],"study_design_scores_gemma":[9.000643e-7,0.00001137148,0.9974928,0.000005594463,0.00000663112,0.00002976122,0.0005868726,0.0008228926,0.0001049135,0.0000329558,0.0009014594,0.000003898982],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981272,0.00007289038,0.0001145334,0.00001889076,0.000002334417,0.000009247126,0.0007141977,0.000007133819,0.0009335086],"genre_scores_gemma":[0.9966144,0.0001399219,0.0002709737,0.000006348815,0.00000262786,0.00001719132,0.001414193,0.000002583438,0.001531749],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05506674,"threshold_uncertainty_score":0.1094924,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03692626468842426,"score_gpt":0.252806948808192,"score_spread":0.2158806841197677,"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."}}