{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":78,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":78,"direct_label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline (scores rank; they never assert a category)","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12","author_layer_release":"2026-06-26"},"query_hash":"f982831e7778","filters":{"topic":"Water Resources and Sustainability"}},"results":[{"id":"W4294266300","doi":"10.1016/j.jclepro.2022.133874","title":"Coupling coordination analysis of China's water resources utilization efficiency and economic development level","year":2022,"lang":"en","type":"article","venue":"Journal of Cleaner Production","topic":"Water Resources and Sustainability","field":"Environmental Science","cited_by":127,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Alberta","funders":"","keywords":"China; Sustainable development; Water resources; Analytic hierarchy process; Index (typography); Environmental economics; Economic system; Geography; Economics; Computer science; Mathematics; Political science; Operations research; Ecology","authors":[{"name":"Yao Zhang","is_ca":false},{"name":"Sufyan Ullah Khan","is_ca":false},{"name":"Brent Swallow","is_ca":true},{"name":"Wenxin Liu","is_ca":false},{"name":"Minjuan Zhao","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01858984564582794,"gpt":0.2314815523405999,"spread":0.212891706694772,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008037086,0.0002712816,0.0004298136,0.00162103,0.0006766304,0.001503897,0.0005140908,0.000351486,0.004363702],"category_scores_gemma":[0.001677913,0.000244207,0.0006930933,0.002191433,0.0004276683,0.001109517,0.000789828,0.0002658848,0.0001328989],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002899532,"about_ca_system_score_gemma":0.002820226,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05615886,"about_ca_topic_score_gemma":0.03566252,"domain_scores_codex":[0.9994789,0.00008541806,0.00003066824,0.0001180017,0.0001070191,0.0001801481],"domain_scores_gemma":[0.9989937,0.0003324172,0.000166941,0.00005880323,0.0003008936,0.0001471295],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005499137,0.0002083359,0.5489507,0.0002171234,0.0008739103,0.001197126,0.0019916,0.2523843,0.005312657,0.1412281,0.006614821,0.04047148],"study_design_scores_gemma":[0.00007470465,0.0001530163,0.5445257,0.00003310604,0.0006786594,0.0001532092,0.0028497,0.420462,0.001572373,0.02565354,0.003766664,0.00007727365],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.982828,0.000116786,0.005142906,0.0002282878,0.000009414936,0.00002397624,0.0002547667,0.00003632654,0.01135955],"genre_scores_gemma":[0.9991014,0.00002531342,0.0001752013,0.000006190119,0.000002147629,0.000006399246,0.00006551565,0.000002556962,0.0006152271],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05615886,"threshold_uncertainty_score":0.1116639,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2611938787","doi":"10.3390/w9050329","title":"Fuzzy Comprehensive Assessment Method Based on the Entropy Weight Method and Its Application in the Water Environmental Safety Evaluation of the Heshangshan Drinking Water Source Area, Three Gorges Reservoir Area, China","year":2017,"lang":"en","type":"article","venue":"Water","topic":"Water Resources and Sustainability","field":"Environmental Science","cited_by":109,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Regina","funders":"Fundamental Research Funds for the Central Universities","keywords":"Three gorges; Evaluation methods; Environmental science; Fuzzy logic; Entropy (arrow of time); Water resources; Index method; Water source; Environmental impact assessment; Water safety; Computer science; Environmental engineering; Water quality; Water resource management; Engineering; Reliability engineering; Business","authors":[{"name":"Xiaowen Ding","is_ca":true},{"name":"Xiao Chong","is_ca":false},{"name":"Zhengfeng Bao","is_ca":false},{"name":"Ying Xue","is_ca":false},{"name":"Shanghong Zhang","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02669550870921575,"gpt":0.2877494837172005,"spread":0.2610539750079847,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002074304,0.0007025503,0.0005224867,0.004185677,0.0007788991,0.001095055,0.0004399522,0.000429931,0.0009935304],"category_scores_gemma":[0.002399176,0.0002623489,0.0009761755,0.002336279,0.0004455005,0.001409063,0.0008629658,0.0003946898,0.00006692489],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001145878,"about_ca_system_score_gemma":0.001223074,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008315141,"about_ca_topic_score_gemma":0.007154411,"domain_scores_codex":[0.9988899,0.0003191951,0.00008893286,0.0001160064,0.0005192115,0.00006685819],"domain_scores_gemma":[0.9993672,0.0002153922,0.00005490245,0.00002641841,0.0002990569,0.00003709133],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002649516,0.0002195081,0.02674424,0.0006567083,0.0004385025,0.0005017618,0.001097248,0.4579439,0.01818783,0.03201881,0.003145368,0.4587811],"study_design_scores_gemma":[0.00002735392,0.0001587892,0.01363401,0.00005484881,0.0001367336,0.0001208849,0.0003146368,0.969558,0.005273155,0.008549719,0.002073116,0.00009881244],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2105643,0.00139429,0.7789024,0.0002596187,0.00007452707,0.0002184104,0.0001940301,0.0001763086,0.008216211],"genre_scores_gemma":[0.9166899,0.0008180467,0.08056021,0.00002710469,0.00003251092,0.0001932379,0.0001601722,0.00001502931,0.001503828],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.008315141,"threshold_uncertainty_score":0.01653349,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2530836530","doi":"10.5751/es-08685-210404","title":"Urban water sustainability: framework and application","year":2016,"lang":"en","type":"article","venue":"Ecology and Society","topic":"Water Resources and Sustainability","field":"Environmental Science","cited_by":73,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"College of Engineering, Michigan State University; Zhejiang University; Michigan State University; National Science Foundation","keywords":"Sustainability; Urban sustainability; Ecology; Geography; Biology","authors":[{"name":"Wu Yang","is_ca":false},{"name":"D. W. Hyndman","is_ca":false},{"name":"Julie A. Winkler","is_ca":false},{"name":"Andrés Viña","is_ca":false},{"name":"Jillian M. Deines","is_ca":false},{"name":"Frank Lupi","is_ca":false},{"name":"Lifeng Luo","is_ca":false},{"name":"Yunkai Li","is_ca":false},{"name":"Bruno Basso","is_ca":false},{"name":"Chunmiao Zheng","is_ca":false},{"name":"Dongchun Ma","is_ca":false},{"name":"Shuxin Li","is_ca":false},{"name":"Xiao Liu","is_ca":false},{"name":"Hua Zheng","is_ca":false},{"name":"Guoliang Cao","is_ca":false},{"name":"Zhiyun Ouyang","is_ca":false},{"name":"Jianguo Liu","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.00243679320167384,"gpt":0.2018521838986846,"spread":0.1994153906970108,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004959654,0.00160487,0.000781699,0.005431593,0.001601711,0.005700607,0.002822849,0.002947155,0.01016708],"category_scores_gemma":[0.003693225,0.0008272933,0.001429228,0.008018594,0.006219303,0.005747665,0.007195341,0.002336672,0.003268135],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00494765,"about_ca_system_score_gemma":0.005237689,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01030298,"about_ca_topic_score_gemma":0.0100158,"domain_scores_codex":[0.9977411,0.001064836,0.0002081526,0.0002980972,0.0005333847,0.0001544662],"domain_scores_gemma":[0.9988706,0.0003762955,0.0001124149,0.0001783582,0.0003402829,0.0001220594],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000005369082,0.00003008658,0.0004170168,0.0003457669,0.00001865154,0.000114422,0.0005586336,0.004967039,0.0001227086,0.9168651,0.02730463,0.04925055],"study_design_scores_gemma":[0.000007348172,0.00001590574,0.0003551315,0.0008729942,0.0000137949,0.0002229599,0.001047343,0.007143078,0.0002042615,0.5808548,0.4092409,0.00002160269],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004894746,0.02311084,0.7173925,0.03606342,0.001096248,0.0008140967,0.003513995,0.002815056,0.2102992],"genre_scores_gemma":[0.2230852,0.03519924,0.6983948,0.002993549,0.001213196,0.002251093,0.004702951,0.001371722,0.03078835],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01030298,"threshold_uncertainty_score":0.03589785,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4309343523","doi":"10.1016/j.jenvman.2022.116608","title":"Development of multidimensional water poverty in the Yangtze River Economic Belt, China","year":2022,"lang":"en","type":"article","venue":"Journal of Environmental Management","topic":"Water Resources and Sustainability","field":"Environmental Science","cited_by":66,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Water resources; Poverty; Urbanization; Industrialisation; Water security; Population; Distribution (mathematics); Water resource management; Environmental science; Sustainable development; Geography; Natural resource economics; Economics; Economic growth; Ecology","authors":[{"name":"Liang Yuan","is_ca":false},{"name":"Dongquan Yang","is_ca":false},{"name":"Xia Wu","is_ca":false},{"name":"Weijun He","is_ca":false},{"name":"Yang Kong","is_ca":false},{"name":"Thomas Stephen Ramsey","is_ca":false},{"name":"Dagmawi Mulugeta Degefu","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.003955635001843107,"gpt":0.1763285890392211,"spread":0.172372954037378,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006859213,0.0003197964,0.0002846371,0.003415149,0.001285662,0.001313083,0.000512466,0.0003097526,0.001318198],"category_scores_gemma":[0.0007248558,0.0002714632,0.000425381,0.003291499,0.001133887,0.0009833636,0.002459379,0.0003280512,0.00004623053],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002482832,"about_ca_system_score_gemma":0.00425812,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06524018,"about_ca_topic_score_gemma":0.1093749,"domain_scores_codex":[0.9993914,0.0001265558,0.00004537018,0.00006838942,0.00009274221,0.0002755657],"domain_scores_gemma":[0.9995665,0.00004894814,0.000147357,0.00001983717,0.00007412464,0.0001431373],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003637397,0.00004522055,0.9905953,0.00002325325,0.00008795323,0.0004139302,0.002131356,0.0003167453,0.0003820598,0.001556792,0.0001553952,0.004255555],"study_design_scores_gemma":[0.000004229577,0.00002510732,0.99038,0.00001016559,0.00003195326,0.0001023852,0.007622357,0.0008723496,0.00005341491,0.0006714161,0.0002168284,0.000009718482],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994103,0.00006031282,0.00003608839,0.000107946,9.82243e-7,0.000004478588,0.0000463289,0.000001037899,0.0003325479],"genre_scores_gemma":[0.9998609,0.00002579636,0.00001710907,0.000004845791,7.45106e-7,0.000002822388,0.0000291884,1.793128e-7,0.00005854058],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06524018,"threshold_uncertainty_score":0.1297209,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2911374911","doi":"10.1007/s11367-018-1543-8","title":"Defining freshwater as a natural resource: a framework linking water use to the area of protection natural resources","year":2019,"lang":"en","type":"article","venue":"The International Journal of Life Cycle Assessment","topic":"Water Resources and Sustainability","field":"Environmental Science","cited_by":58,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Polytechnique Montréal; Université de Sherbrooke","funders":"Office National de l’Eau et des Milieux Aquatiques; Région Occitanie Pyrénées-Méditerranée; Agence Nationale de la Recherche","keywords":"Natural resource; Resource (disambiguation); Environmental resource management; Safeguard; Hydropower; Water resources; Business; Natural resource economics; Environmental science; Environmental economics; Ecology; Computer science; Economics","authors":[{"name":"Charlotte Pradinaud","is_ca":false},{"name":"Stephen Northey","is_ca":false},{"name":"Ben Amor","is_ca":true},{"name":"Jane Bare","is_ca":false},{"name":"Lorenzo Benini","is_ca":false},{"name":"Markus Berger","is_ca":false},{"name":"Anne‐Marie Boulay","is_ca":true},{"name":"Guillaume Junqua","is_ca":false},{"name":"Michael J. Lathuillière","is_ca":false},{"name":"Manuele Margni","is_ca":true},{"name":"Masaharu Motoshita","is_ca":false},{"name":"Briana Niblick","is_ca":false},{"name":"Sandra Payen","is_ca":false},{"name":"Stephan Pfister","is_ca":false},{"name":"Paula Quinteiro","is_ca":false},{"name":"Thomas Sonderegger","is_ca":false},{"name":"Ralph K. Rosenbaum","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.00944390081665794,"gpt":0.2613856289494983,"spread":0.2519417281328403,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004072332,0.001005586,0.0007878836,0.005096732,0.002868213,0.008234785,0.002823821,0.002685154,0.005213309],"category_scores_gemma":[0.003625642,0.0004010197,0.001616792,0.005296473,0.01833589,0.01012949,0.004629916,0.003452357,0.0004774532],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005728669,"about_ca_system_score_gemma":0.009061629,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01844523,"about_ca_topic_score_gemma":0.02751914,"domain_scores_codex":[0.9976755,0.001163455,0.0002086007,0.0003577986,0.0003179638,0.0002767918],"domain_scores_gemma":[0.9979485,0.000915909,0.000329211,0.0001560514,0.0003301949,0.0003201146],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000002038881,0.00001521467,0.0003753366,0.00003713719,0.000006734114,0.0000551688,0.0005762053,0.00144121,0.0001119645,0.9929771,0.0006897136,0.003712131],"study_design_scores_gemma":[0.000005776771,0.00002666835,0.0009869112,0.0002316115,0.00002646314,0.0001066588,0.002533088,0.005127204,0.0002271005,0.9390252,0.05167714,0.00002624979],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0254671,0.003403888,0.744604,0.02563847,0.0006583014,0.0004560451,0.0008510681,0.0001592679,0.1987619],"genre_scores_gemma":[0.6776986,0.00358221,0.305332,0.002158701,0.0003595039,0.000852585,0.0004485892,0.0001132481,0.009454452],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01844523,"threshold_uncertainty_score":0.04156452,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4206713854","doi":"10.1016/j.scitotenv.2022.153038","title":"The edge of the petri dish for a nation: Water resources carrying capacity assessment for Iran","year":2022,"lang":"en","type":"article","venue":"The Science of The Total Environment","topic":"Water Resources and Sustainability","field":"Environmental Science","cited_by":49,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Institut National de la Recherche Scientifique","funders":"Ministry of Science Research and Technology; University of Tehran; National Outstanding Youth Science Fund Project of National Natural Science Foundation of China; Institut national de la recherche scientifique","keywords":"Carrying capacity; Agriculture; Limiting; Productivity; Resource (disambiguation); Population; Water resources; Environmental science; Agricultural productivity; Production (economics); Agricultural land; Land use; Agricultural engineering; Environmental resource management; Environmental economics; Natural resource economics; Geography; Computer science; Engineering; Economics; Ecology; Civil engineering","authors":[{"name":"Mostafa Khorsandi","is_ca":true},{"name":"Saeid Homayouni","is_ca":true},{"name":"Pieter van Oel","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01739638455093664,"gpt":0.2229224653705696,"spread":0.2055260808196329,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008869717,0.0006833412,0.0002531255,0.002675201,0.0004894144,0.0006917446,0.000983821,0.0003444602,0.001474558],"category_scores_gemma":[0.001551855,0.0001963026,0.0005791978,0.001852663,0.000454664,0.001368269,0.0007576885,0.0003362077,0.0001835572],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001439965,"about_ca_system_score_gemma":0.001387551,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02600613,"about_ca_topic_score_gemma":0.03114269,"domain_scores_codex":[0.9996934,0.0000762307,0.00001408484,0.00004237976,0.0001297574,0.00004417932],"domain_scores_gemma":[0.9994204,0.0001864504,0.0001070863,0.0000391054,0.0002074474,0.00003951493],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002417182,0.0001656082,0.3437274,0.0004954169,0.0002909949,0.0008023404,0.00178808,0.3310679,0.004328023,0.01751532,0.009864615,0.2897126],"study_design_scores_gemma":[0.00002689918,0.0003764537,0.2169672,0.000183013,0.0001913962,0.0004657557,0.006036137,0.7417697,0.004052557,0.01423294,0.01547706,0.0002209199],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9127564,0.001109603,0.06102652,0.0005937711,0.00007578953,0.0002710328,0.002556776,0.0002942855,0.02131573],"genre_scores_gemma":[0.9762037,0.0005201786,0.02105672,0.00002059735,0.00001314038,0.0001141994,0.001100378,0.00001669446,0.0009543312],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02600613,"threshold_uncertainty_score":0.05170953,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4400917021","doi":"10.1038/s43247-024-01560-y","title":"The increasing water stress projected for China could shift the agriculture and manufacturing industry geographically","year":2024,"lang":"en","type":"article","venue":"Communications Earth & Environment","topic":"Water Resources and Sustainability","field":"Environmental Science","cited_by":47,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Regina","funders":"Fundamental Research Funds for the Central Universities; National Natural Science Foundation of China","keywords":"China; Agriculture; Economic geography; Business; Geography; Natural resource economics; Economics; Archaeology","authors":[{"name":"Mengyu Liu","is_ca":false},{"name":"Xiong Zhou","is_ca":true},{"name":"Guohe Huang","is_ca":false},{"name":"Yongping Li","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.008366245126819128,"gpt":0.2190812327519416,"spread":0.2107149876251224,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003082666,0.0002971661,0.0001286505,0.0004921308,0.000340318,0.0005434143,0.0001822774,0.0002503326,0.001759933],"category_scores_gemma":[0.0003232503,0.00007246494,0.0003378443,0.0007937552,0.0001940634,0.0004806911,0.0003032138,0.0001976584,0.0001287223],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001082093,"about_ca_system_score_gemma":0.001162652,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03756857,"about_ca_topic_score_gemma":0.06897289,"domain_scores_codex":[0.9999077,0.00001334281,0.000006148598,0.00001433431,0.00002731286,0.00003103708],"domain_scores_gemma":[0.9998345,0.00001791394,0.00003985693,0.00001016459,0.00006879688,0.0000287263],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001566935,0.00009773026,0.7381179,0.0001355521,0.000173607,0.0007195229,0.0002488478,0.1626128,0.02270762,0.003669589,0.004241775,0.06711838],"study_design_scores_gemma":[0.00001641934,0.0001254285,0.7929135,0.00003185608,0.00007394487,0.0001056516,0.001258517,0.1906343,0.005437476,0.004118436,0.005245147,0.00003932669],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.990168,0.0001032435,0.004177691,0.000798406,0.00002283682,0.00001478696,0.001069768,0.00005817549,0.003587151],"genre_scores_gemma":[0.9985946,0.00006030091,0.0005249969,0.000035207,0.000003661586,0.000006119833,0.0003147176,0.000001710972,0.0004586123],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03756857,"threshold_uncertainty_score":0.07469982,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2165596007","doi":"10.5194/hess-18-1605-2014","title":"Comprehensive evaluation of water resources security in the Yellow River basin based on a fuzzy multi-attribute decision analysis approach","year":2014,"lang":"en","type":"article","venue":"Hydrology and earth system sciences","topic":"Water Resources and Sustainability","field":"Environmental Science","cited_by":45,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Regina","funders":"National Key Research and Development Program of China; National Science Foundation","keywords":"TOPSIS; Ranking (information retrieval); Ideal solution; Water resources; Computer science; Structural basin; Fuzzy logic; Water security; Multiple-criteria decision analysis; Rank (graph theory); Data mining; Water resource management; Operations research; Environmental science; Mathematics; Geology; Machine learning; Artificial intelligence","authors":[{"name":"K. K. Liu","is_ca":false},{"name":"C. H. Li","is_ca":false},{"name":"Yanpeng Cai","is_ca":true},{"name":"Meng Xu","is_ca":false},{"name":"Xinghui Xia","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02237542033228465,"gpt":0.2490405329462151,"spread":0.2266651126139304,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003650065,0.0007954229,0.0007528612,0.004827004,0.0009265278,0.002113717,0.0004914058,0.0005125052,0.000981979],"category_scores_gemma":[0.002832756,0.000322929,0.001253552,0.002284117,0.0005781661,0.001488212,0.001049341,0.0004886959,0.00005199916],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002653453,"about_ca_system_score_gemma":0.002716841,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009754962,"about_ca_topic_score_gemma":0.01170885,"domain_scores_codex":[0.997833,0.0009119873,0.0001845549,0.0001876769,0.0007363387,0.0001464211],"domain_scores_gemma":[0.998903,0.0004316728,0.0001126714,0.00004767124,0.0004072141,0.00009767018],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003075375,0.0002976343,0.05427356,0.0005166777,0.000726079,0.0005679603,0.0007864964,0.7554281,0.01162846,0.02054468,0.001318186,0.1536046],"study_design_scores_gemma":[0.00002279635,0.0001404556,0.009123493,0.00005408176,0.0001147029,0.00005608665,0.0004482644,0.9794999,0.0020436,0.0076172,0.0008393112,0.00003999897],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4866001,0.0008990926,0.5043716,0.0004920733,0.00004833689,0.000443922,0.0003876736,0.0001400534,0.00661712],"genre_scores_gemma":[0.9437567,0.000166461,0.05525836,0.00002283618,0.000008499578,0.0001331839,0.0001021898,0.000004685741,0.000547022],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009754962,"threshold_uncertainty_score":0.01939636,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4360987161","doi":"10.1016/j.ecolmodel.2023.110365","title":"Adaptability analysis of water pollution and advanced industrial structure in Jiangsu Province, China","year":2023,"lang":"en","type":"article","venue":"Ecological Modelling","topic":"Water Resources and Sustainability","field":"Environmental Science","cited_by":44,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Adaptability; Pollution; Environmental science; Agriculture; Decoupling (probability); China; Geography; Engineering; Economics; Ecology","authors":[{"name":"Yang Kong","is_ca":false},{"name":"Weijun He","is_ca":false},{"name":"Juqin Shen","is_ca":false},{"name":"Liang Yuan","is_ca":false},{"name":"Xin Gao","is_ca":false},{"name":"Thomas Stephen Ramsey","is_ca":false},{"name":"Qingling Peng","is_ca":false},{"name":"Dagmawi Mulugeta Degefu","is_ca":true},{"name":"Fuhua Sun","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0182543952660151,"gpt":0.216345536688894,"spread":0.1980911414228789,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005754473,0.0003877272,0.0004562031,0.00165299,0.0007156917,0.0008571841,0.0006773905,0.0003725349,0.00080899],"category_scores_gemma":[0.001000221,0.0002747196,0.0009853927,0.002021833,0.000425762,0.000567867,0.0006829206,0.0002176921,0.0000498361],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003325036,"about_ca_system_score_gemma":0.002549646,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2289811,"about_ca_topic_score_gemma":0.2015811,"domain_scores_codex":[0.9997197,0.0000619485,0.00001486906,0.00006364842,0.00004349445,0.00009635209],"domain_scores_gemma":[0.9996262,0.000118469,0.00006081012,0.00002400695,0.00008750271,0.00008313598],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001662519,0.0001436884,0.7309825,0.00005149189,0.0002904884,0.0006817362,0.0004306799,0.2517621,0.001781337,0.001899979,0.0004352707,0.01137455],"study_design_scores_gemma":[0.00001487993,0.00004934739,0.6117067,0.000006311468,0.00009769059,0.00006179823,0.0007749254,0.3858176,0.000267109,0.0008390557,0.0003438906,0.00002056034],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991606,0.00001776516,0.0004588432,0.00002687783,0.00000117526,0.000004148682,0.000063962,0.000007370042,0.0002592042],"genre_scores_gemma":[0.9995715,0.00001727441,0.000104037,0.000002958783,0.000001328497,0.000003824326,0.0001098673,0.000001926992,0.0001872653],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2289811,"threshold_uncertainty_score":0.4552966,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4289704508","doi":"10.1016/j.ecolind.2022.109214","title":"Dynamic assessment and influencing factors analysis of water environmental carrying capacity in the Yangtze River Economic Belt, China","year":2022,"lang":"en","type":"article","venue":"Ecological Indicators","topic":"Water Resources and Sustainability","field":"Environmental Science","cited_by":36,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Toronto Metropolitan University","funders":"Fundamental Research Funds for the Central Universities; Ministry of Education of the People's Republic of China; National Natural Science Foundation of China","keywords":"Carrying capacity; Obstacle; Per capita; Sustainability; Environmental science; Water resources; Index (typography); Water consumption; Yangtze river; Environmental engineering; China; Business; Ecology; Geography; Computer science; Biology","authors":[{"name":"Yang Kong","is_ca":false},{"name":"Weijun He","is_ca":false},{"name":"Xin Gao","is_ca":false},{"name":"Liang Yuan","is_ca":false},{"name":"Qingling Peng","is_ca":false},{"name":"Shuqin Li","is_ca":false},{"name":"Zhaofang Zhang","is_ca":false},{"name":"Dagmawi Mulugeta Degefu","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.009367249036265797,"gpt":0.2217981811126313,"spread":0.2124309320763655,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008109459,0.0004776935,0.0002687131,0.003328488,0.0004671011,0.0010077,0.0004475895,0.0002627842,0.0009331782],"category_scores_gemma":[0.001411499,0.0002262598,0.0006367675,0.002488397,0.0004164004,0.0008473025,0.0008716995,0.0002407252,0.00005499091],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001585079,"about_ca_system_score_gemma":0.001186164,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07219982,"about_ca_topic_score_gemma":0.05342005,"domain_scores_codex":[0.9996305,0.00006054126,0.00003190854,0.00006423561,0.0001097691,0.000103037],"domain_scores_gemma":[0.9995654,0.0001125409,0.00007798516,0.00002393189,0.0001554836,0.00006470416],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000037586,0.00004845424,0.9470385,0.00006773654,0.000137667,0.0004057878,0.0009501367,0.02960149,0.001453993,0.001452763,0.0005972839,0.01820854],"study_design_scores_gemma":[0.000005522263,0.00003134384,0.9167027,0.00001719259,0.00005623321,0.00004273467,0.001913149,0.07958609,0.0003213118,0.0006063991,0.0006934517,0.00002391466],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998086,0.0000523313,0.0008626422,0.00006147093,0.000002105752,0.00001532855,0.0002054504,0.00001544132,0.0006992182],"genre_scores_gemma":[0.9992587,0.00004436466,0.0002736764,0.000004452593,0.000001937636,0.00001486206,0.0002274505,0.000001919082,0.0001725895],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07219982,"threshold_uncertainty_score":0.1435592,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2923600603","doi":"10.3390/w11030607","title":"Water Security Assessment of China’s One Belt and One Road Region","year":2019,"lang":"en","type":"article","venue":"Water","topic":"Water Resources and Sustainability","field":"Environmental Science","cited_by":36,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Toronto Metropolitan University","funders":"National Natural Science Foundation of China","keywords":"Water security; China; Environmental science; Socioeconomic development; Water resource management; Environmental economics; Water resources; Business; Environmental resource management; Geography; Economics; Economic growth","authors":[{"name":"Zhaofang Zhang","is_ca":false},{"name":"Weijun He","is_ca":false},{"name":"Min An","is_ca":false},{"name":"Dagmawi Mulugeta Degefu","is_ca":true},{"name":"Liang Yuan","is_ca":false},{"name":"Juqin Shen","is_ca":false},{"name":"Zaiyi Liao","is_ca":true},{"name":"Xia Wu","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.00686694686818135,"gpt":0.2128200657351095,"spread":0.2059531188669281,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008003771,0.0004620373,0.0003334599,0.001673896,0.0004276704,0.0008004031,0.0005038237,0.000478362,0.0008126875],"category_scores_gemma":[0.0007213129,0.0001897512,0.0009736685,0.001329521,0.0004929462,0.0007443676,0.0009065761,0.0001925682,0.00006496817],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002341909,"about_ca_system_score_gemma":0.001856726,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09193894,"about_ca_topic_score_gemma":0.06397025,"domain_scores_codex":[0.9996908,0.00006339929,0.00001865588,0.00004529673,0.00009703796,0.00008487614],"domain_scores_gemma":[0.999671,0.00006817644,0.00006666163,0.00002855339,0.0001115021,0.00005417686],"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":[0.0002722653,0.0001686165,0.2513616,0.0001797466,0.0002508151,0.001553611,0.0007696881,0.6842593,0.01084878,0.006094479,0.001480826,0.04276027],"study_design_scores_gemma":[0.00003826572,0.000197935,0.2313505,0.00002667081,0.0001204933,0.0000899807,0.001060092,0.7596911,0.003538957,0.002279062,0.001554034,0.00005294285],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9956515,0.00008865596,0.001704908,0.0001364074,0.000004750073,0.00002486279,0.0002377449,0.00003572976,0.00211541],"genre_scores_gemma":[0.9991086,0.00006107386,0.0003496615,0.00000746657,0.000001385344,0.000007286314,0.0001390409,0.000003224186,0.0003222173],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09193894,"threshold_uncertainty_score":0.1828076,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2076939699","doi":"10.1139/l04-113","title":"Beijing water resources and the south to north water diversion project","year":2005,"lang":"en","type":"article","venue":"Canadian Journal of Civil Engineering","topic":"Water Resources and Sustainability","field":"Environmental Science","cited_by":35,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Beijing; Water conservation; Water resources; Water scarcity; Water resource management; Integrated water resources management; Water supply; Environmental science; Population; Sustainable development; Resource (disambiguation); Water diversion; Water use; China; Environmental engineering; Geography","authors":[],"retraction":null,"screen_n_in":null,"score":{"opus":0.004062097820495623,"gpt":0.1531073482147821,"spread":0.1490452503942864,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005300883,0.0003532675,0.0001601217,0.0004565622,0.001822701,0.001107752,0.0003989498,0.0006093767,0.007159625],"category_scores_gemma":[0.0006688993,0.0001642863,0.0001686626,0.0008102927,0.0006064706,0.0006609859,0.001999388,0.0004319787,0.0005272077],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002576678,"about_ca_system_score_gemma":0.01178363,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05743675,"about_ca_topic_score_gemma":0.09258068,"domain_scores_codex":[0.9995255,0.00008321223,0.00002238775,0.00004802613,0.0001704613,0.0001503267],"domain_scores_gemma":[0.9996867,0.00002250169,0.00002920793,0.00003533496,0.00004664958,0.000179631],"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":[0.0005332358,0.0005104994,0.1220261,0.0008345855,0.0001286517,0.006210245,0.005647635,0.005094433,0.01422745,0.09604008,0.1283858,0.6203613],"study_design_scores_gemma":[0.0001687973,0.000279977,0.3274162,0.0000733146,0.00006578544,0.0007874444,0.002032592,0.001956884,0.004624392,0.006713642,0.6558237,0.00005731269],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6017631,0.003363772,0.00298052,0.01825478,0.0003284586,0.0006196905,0.001753072,0.000318747,0.3706179],"genre_scores_gemma":[0.8125294,0.002024151,0.003970905,0.0009812079,0.00005565668,0.0003340972,0.001532016,0.00005645487,0.178516],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05743675,"threshold_uncertainty_score":0.1142048,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4395683858","doi":"10.1016/j.ecolind.2024.112045","title":"Evaluation and prediction of water security levels in Northwest China based on the DPSIR model","year":2024,"lang":"en","type":"article","venue":"Ecological Indicators","topic":"Water Resources and Sustainability","field":"Environmental Science","cited_by":32,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Hudbay Minerals (Canada); University of Toronto","funders":"Ministry of Education of the People's Republic of China; National Natural Science Foundation of China","keywords":"DPSIR; China; Environmental science; Water resource management; Environmental resource management; Geography","authors":[{"name":"Jiaqi Li","is_ca":false},{"name":"Weijun He","is_ca":false},{"name":"Enhui Jiang","is_ca":false},{"name":"Liang Yuan","is_ca":false},{"name":"Bo Qu","is_ca":false},{"name":"Dagmawi Mulugeta Degefu","is_ca":true},{"name":"Thomas Stephen Ramsey","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01901570387264233,"gpt":0.2443910860256743,"spread":0.2253753821530319,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001343332,0.0005255222,0.0003483413,0.001326644,0.0002920687,0.0009667146,0.0005982837,0.0004122116,0.001507089],"category_scores_gemma":[0.001968262,0.0002058935,0.000712843,0.001188959,0.0003550182,0.001033267,0.0009249793,0.000481684,0.0001179055],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001852247,"about_ca_system_score_gemma":0.001792355,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0474856,"about_ca_topic_score_gemma":0.03005323,"domain_scores_codex":[0.9995329,0.0001336525,0.00004143369,0.00009703374,0.0001164246,0.0000785744],"domain_scores_gemma":[0.9994653,0.000183982,0.00007913887,0.00002341014,0.0002034724,0.00004477658],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005467983,0.00007053767,0.05742059,0.00007193,0.00006403532,0.0001971625,0.000177813,0.9153239,0.000903966,0.005549525,0.000542126,0.0196238],"study_design_scores_gemma":[0.000004098312,0.00002686213,0.007469399,0.000005961679,0.00001097663,0.00000788781,0.00008874548,0.9910421,0.0002334126,0.0009520392,0.0001502313,0.000008220724],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.915336,0.0001320267,0.07682924,0.0004168477,0.00002034882,0.0001468615,0.0006882115,0.000172559,0.006258082],"genre_scores_gemma":[0.9932614,0.0001019612,0.005307145,0.000009705905,0.00000278003,0.00005599048,0.000296336,0.000005231072,0.0009596182],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0474856,"threshold_uncertainty_score":0.09441841,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2010371221","doi":"10.1080/13504500903549528","title":"Perspectives on small watershed management in China: the case of Biliu","year":2010,"lang":"en","type":"article","venue":"International Journal of Sustainable Development & World Ecology","topic":"Water Resources and Sustainability","field":"Environmental Science","cited_by":23,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo","funders":"Environmental Protection Administration, Executive Yuan, R.O.C. Taiwan; Chinese Academy of Sciences; National Natural Science Foundation of China","keywords":"Drainage basin; Integrated water resources management; China; Structural basin; Geography; Population; Watershed management; Watershed; Water resource management; Environmental resource management; Water resources; Environmental planning; Environmental science; Cartography; Ecology; Geology","authors":[{"name":"Yong Geng","is_ca":false},{"name":"Bruce Mitchell","is_ca":true},{"name":"Tsuyoshi Fujita","is_ca":false},{"name":"Tadanobu Nakayama","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.004892966888405968,"gpt":0.2226126141031402,"spread":0.2177196472147343,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001562956,0.0005019808,0.0003994581,0.001916993,0.007962914,0.006049526,0.00260881,0.002229791,0.004704488],"category_scores_gemma":[0.001790619,0.0002534288,0.0005798684,0.003395518,0.007253078,0.002715794,0.005344158,0.001648117,0.0001332176],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03253813,"about_ca_system_score_gemma":0.01908887,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3295959,"about_ca_topic_score_gemma":0.4082418,"domain_scores_codex":[0.9983364,0.0005924054,0.00004164416,0.0001159528,0.0001733726,0.0007401878],"domain_scores_gemma":[0.9991535,0.0001930042,0.00009049405,0.00003988041,0.0001406967,0.0003823839],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001853998,0.0003311165,0.06787746,0.000408904,0.00009217963,0.02816178,0.06302386,0.02261,0.002000111,0.7646277,0.007329994,0.04335149],"study_design_scores_gemma":[0.0002598617,0.0006945998,0.1442478,0.0007966112,0.0002065336,0.002660342,0.2638955,0.06350494,0.002291803,0.2172835,0.3038458,0.0003126939],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8075077,0.002598393,0.002477272,0.01922472,0.00007074468,0.0002623613,0.00008284517,0.00004009926,0.1677359],"genre_scores_gemma":[0.9915084,0.0008056012,0.0005387671,0.0005606756,0.00001653395,0.00006996813,0.00002649043,0.000005977649,0.006467641],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3295959,"threshold_uncertainty_score":0.6553549,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2886381939","doi":"10.1007/s11625-018-0614-x","title":"Evaluating the effectiveness of hazard mapping as climate change adaptation for community planning in degrading permafrost terrain","year":2018,"lang":"en","type":"article","venue":"Sustainability Science","topic":"Water Resources and Sustainability","field":"Environmental Science","cited_by":21,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true},"ca_institutions":"Concordia University; McGill University","funders":"Aboriginal Affairs and Northern Development Canada; Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Social Sciences and Humanities Research Council of Canada; Crown-Indigenous Relations and Northern Affairs Canada; Indigenous Services Canada; Indigenous and Northern Affairs Canada; International Development Research Centre; ArcticNet","keywords":"Permafrost; Terrain; Landscape ecology; Climate change; Hazard; Environmental resource management; Environmental planning; Adaptation (eye); Climate change adaptation; Green infrastructure; Physical geography; Geography; Environmental science; Geology; Ecology; Cartography; Habitat; Oceanography","authors":[{"name":"Melanie Flynn","is_ca":false},{"name":"James D. Ford","is_ca":true},{"name":"Jolène Labbé","is_ca":true},{"name":"Lothar Schrott","is_ca":false},{"name":"Shirley Tagalik","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.08065555460756965,"gpt":0.3729896107594086,"spread":0.2923340561518389,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.05869438,0.0009786452,0.0006604682,0.001878451,0.005750372,0.005779435,0.002422673,0.001144815,0.001419029],"category_scores_gemma":[0.08659205,0.0003992137,0.0006447128,0.002495053,0.005380626,0.002762886,0.004892,0.001829242,0.0001448948],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05359645,"about_ca_system_score_gemma":0.08082292,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.5304813,"about_ca_topic_score_gemma":0.7209629,"domain_scores_codex":[0.941962,0.04362221,0.00140841,0.001251026,0.007384893,0.004371338],"domain_scores_gemma":[0.9289532,0.04264449,0.005616965,0.002403323,0.01415295,0.006229087],"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":[0.00345862,0.008889563,0.2648978,0.003709011,0.0007332191,0.0009394498,0.1859332,0.0551304,0.005380549,0.01673256,0.00388448,0.4503112],"study_design_scores_gemma":[0.001455158,0.01957182,0.4216041,0.00365716,0.001224109,0.0002167457,0.4133223,0.07211736,0.01312442,0.0113826,0.04187597,0.0004482769],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9642638,0.0003677754,0.003809623,0.001420839,0.00002346376,0.003168874,0.0001499034,0.00005128868,0.02674442],"genre_scores_gemma":[0.9834293,0.000236112,0.01442417,0.0001228058,0.000004761672,0.001056936,0.00008206833,0.000009226553,0.0006344516],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5304813,"threshold_uncertainty_score":0.9445675,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2406300468","doi":"10.1007/s11442-016-1276-1","title":"Quantitative characterization and comprehensive evaluation of regional water resources using the Three Red Lines method","year":2016,"lang":"en","type":"article","venue":"Journal of Geographical Sciences","topic":"Water Resources and Sustainability","field":"Environmental Science","cited_by":19,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Ministry of Education and Child Care","funders":"","keywords":"Water resources; Industrialisation; Water resource management; Drainage basin; River regime; Water efficiency; Urbanization; Environmental science; Population; Geography; Hydrology (agriculture); Geology; Ecology; Economics","authors":[{"name":"Zheng Zang","is_ca":false},{"name":"Xi Xu","is_ca":false},{"name":"Yu Zhang","is_ca":false},{"name":"Defeng Zheng","is_ca":false},{"name":"Caizhi Sun","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.07461730846738364,"gpt":0.3361856478406303,"spread":0.2615683393732466,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002651973,0.0009272586,0.0006430727,0.006466954,0.0007525997,0.00166155,0.00109735,0.0006494605,0.002367968],"category_scores_gemma":[0.003766935,0.0003485837,0.001179148,0.003966497,0.0008001099,0.001813775,0.001072115,0.0004868435,0.0003741668],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000975219,"about_ca_system_score_gemma":0.0009688003,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008822485,"about_ca_topic_score_gemma":0.008154698,"domain_scores_codex":[0.9978542,0.0009442453,0.0001170869,0.0003214876,0.000614605,0.0001484071],"domain_scores_gemma":[0.9973585,0.001097234,0.0003207596,0.0003159446,0.0008070821,0.0001004604],"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":[0.000949384,0.0005213171,0.07741725,0.0007323395,0.0007217072,0.0005289154,0.001749843,0.315849,0.06375761,0.046194,0.003395348,0.4881833],"study_design_scores_gemma":[0.00004686797,0.0002969475,0.02678182,0.00004689113,0.0002071072,0.0002158144,0.0008673545,0.9281223,0.02719562,0.01170376,0.004371635,0.0001438958],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2184891,0.0002574729,0.7725094,0.00007716006,0.0000126761,0.0001522343,0.0007751195,0.0006725254,0.007054239],"genre_scores_gemma":[0.7603291,0.0001133485,0.2367132,0.00002014104,0.000007660638,0.0002006203,0.0005078982,0.00009597883,0.002012088],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008822485,"threshold_uncertainty_score":0.01754224,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3154983862","doi":"10.1080/14615517.2021.1911752","title":"Rural water sustainability index (RWSI): an innovative multicriteria and participative approach for rural communities","year":2021,"lang":"en","type":"article","venue":"Impact Assessment and Project Appraisal","topic":"Water Resources and Sustainability","field":"Environmental Science","cited_by":18,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Dalhousie University","funders":"Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Sustainability; Delphi method; Index (typography); Environmental planning; Environmental resource management; Environmental Sustainability Index; Geographic information system; Rural area; Geography; Business; Computer science; Environmental science; Cartography; Political science; Ecology","authors":[{"name":"Diêgo Lima Crispim","is_ca":false},{"name":"Gardenio Diogo Pimentel da Silva","is_ca":true},{"name":"Lindemberg Lima Fernandes","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02929978637358286,"gpt":0.3991313139161135,"spread":0.3698315275425306,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.03258876,0.001269933,0.0008940311,0.008361723,0.003193207,0.00335628,0.001604167,0.001016248,0.002425048],"category_scores_gemma":[0.02890526,0.0005185144,0.001247837,0.004957557,0.002368194,0.003856895,0.008513803,0.001334459,0.0003302522],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004309729,"about_ca_system_score_gemma":0.008088066,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00264812,"about_ca_topic_score_gemma":0.006048462,"domain_scores_codex":[0.9624672,0.02843869,0.001815621,0.0013963,0.005202155,0.0006800734],"domain_scores_gemma":[0.9777244,0.01272925,0.003024856,0.001551609,0.004169694,0.0008003208],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002771294,0.0006520298,0.04070326,0.002698957,0.000454858,0.0003166761,0.07165188,0.008673404,0.008776256,0.03855673,0.006623679,0.8206152],"study_design_scores_gemma":[0.000373109,0.00402304,0.1552057,0.004159734,0.0008989205,0.001768131,0.2058599,0.07861573,0.02538365,0.2057348,0.3167712,0.001206175],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2647179,0.0009514137,0.6373304,0.004924312,0.0002884509,0.01170499,0.001462359,0.001057979,0.07756227],"genre_scores_gemma":[0.5844727,0.0004799332,0.4030187,0.0002957477,0.00004308772,0.007852738,0.0004360417,0.0000906524,0.003310365],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03258876,"threshold_uncertainty_score":0.1723479,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3201880932","doi":"10.3390/w13192674","title":"Assessing Water Poverty of Livelihood Groups in Peri-Urban Areas around Dhaka under a Changing Environment","year":2021,"lang":"en","type":"article","venue":"Water","topic":"Water Resources and Sustainability","field":"Environmental Science","cited_by":17,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"International Development Research Centre","keywords":"Livelihood; Poverty; Socioeconomics; Urbanization; Geography; Population; Resource (disambiguation); Business; Economic growth; Environmental health; Economics; Agriculture","authors":[{"name":"Lamiya Sharmeen Jaren","is_ca":false},{"name":"M. Shahjahan Mondal","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01094912162608432,"gpt":0.2116378319326047,"spread":0.2006887103065204,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006285686,0.0002612733,0.0002631625,0.002071684,0.001576135,0.0008801458,0.0003319425,0.0004309141,0.001224643],"category_scores_gemma":[0.001690733,0.0002401553,0.0002543225,0.001838514,0.0009344242,0.001041871,0.002062558,0.0003338747,0.0002092335],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009899409,"about_ca_system_score_gemma":0.0008004663,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0152064,"about_ca_topic_score_gemma":0.03772202,"domain_scores_codex":[0.9993935,0.0002425597,0.00004771166,0.00005509781,0.00009312971,0.0001680253],"domain_scores_gemma":[0.9994246,0.0001285913,0.0001955593,0.00002835226,0.0001000119,0.0001230779],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001192834,0.00009238836,0.9736805,0.00006337708,0.00005814787,0.0004684035,0.01184313,0.0002960058,0.00100685,0.0003813943,0.0001996363,0.01179084],"study_design_scores_gemma":[0.000004629008,0.0002052549,0.9479753,0.00004116998,0.00002114948,0.0003252544,0.04975659,0.0003947855,0.0001774429,0.000277605,0.000802593,0.0000182266],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993513,0.00003114193,0.00004656571,0.00003097966,8.686612e-7,0.000013796,0.00005650563,6.081108e-7,0.0004683467],"genre_scores_gemma":[0.9996318,0.00005145687,0.00009482553,0.00001005774,7.82302e-7,0.00002239222,0.00005629865,3.708951e-7,0.0001320212],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0152064,"threshold_uncertainty_score":0.03023577,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2156994640","doi":"10.7557/2.24.4.1723","title":"Drinking water quality in the alpine pastures of the eastern Tibetan plateau","year":2004,"lang":"en","type":"article","venue":"Rangifer","topic":"Water Resources and Sustainability","field":"Environmental Science","cited_by":17,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"University of Waterloo; Academy of Finland","keywords":"Fencing; Human settlement; Water quality; Water source; Rangeland; Geography; Pasture; Environmental science; Plateau (mathematics); Water resources; Water resource management; Environmental protection; Hydrology (agriculture); Ecology; Agroforestry; Forestry; Biology; Engineering","authors":[{"name":"Mika Sillanpää","is_ca":false},{"name":"Riina-Maarit Hulkkonen","is_ca":false},{"name":"Angela Manderscheid","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01084093155309382,"gpt":0.2351942411798531,"spread":0.2243533096267593,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000234262,0.0001911302,0.0002072336,0.0009270046,0.0008571151,0.0007112571,0.0001402041,0.000213653,0.0005405273],"category_scores_gemma":[0.0002697272,0.0001209967,0.0001352022,0.001411464,0.0003452843,0.0001883672,0.0002172826,0.000117408,0.00005164906],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005123446,"about_ca_system_score_gemma":0.0003147577,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04165659,"about_ca_topic_score_gemma":0.06779701,"domain_scores_codex":[0.9998882,0.00002273004,0.00001037345,0.00002706295,0.00002901601,0.00002263326],"domain_scores_gemma":[0.9998735,0.00001556436,0.00004369331,0.000004463323,0.00003474745,0.0000279148],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001419819,0.00007773541,0.9793841,0.00004670176,0.00003742028,0.0005419662,0.00202105,0.0001729283,0.01029579,0.00003585984,0.00005054439,0.007193923],"study_design_scores_gemma":[0.000001669023,0.00003739275,0.9986773,0.000003180652,0.000005584822,0.00006816703,0.0008259628,0.0001297978,0.0001338809,0.00001234274,0.0001030349,0.00000179291],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996355,0.00007275838,0.00002700056,0.000006974184,7.143628e-7,0.000001817298,0.00003047419,8.843263e-7,0.0002239071],"genre_scores_gemma":[0.9995099,0.00006871764,0.00007069048,0.000008610886,0.000002508285,0.000002641252,0.00009263554,6.46683e-7,0.0002435102],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04165659,"threshold_uncertainty_score":0.08282822,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4323923939","doi":"10.1016/j.jclepro.2023.136719","title":"The spatiotemporal evolution of socioeconomic drought in the Arid Area of Northwest China based on the Water Poverty Index","year":2023,"lang":"en","type":"article","venue":"Journal of Cleaner Production","topic":"Water Resources and Sustainability","field":"Environmental Science","cited_by":15,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"Foundation for Innovative Research Groups of the National Natural Science Foundation of China; Indigenous and Northern Affairs Canada; Natural Science Foundation of Xinjiang; Youth Innovation Promotion Association of the Chinese Academy of Sciences; National Natural Science Foundation of China","keywords":"Arid; Water scarcity; Scarcity; Water resources; China; Socioeconomic status; Geography; Environmental science; Resource (disambiguation); Poverty; Index (typography); Water resource management; Ecology; Economics; Population; Economic growth; Demography; Biology","authors":[{"name":"Jiayou Wang","is_ca":false},{"name":"Zhi Li","is_ca":false},{"name":"Yaning Chen","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.007341989328755911,"gpt":0.2011852647564924,"spread":0.1938432754277365,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004983848,0.0001740612,0.0002482104,0.001771869,0.0003968326,0.0005882684,0.0003308683,0.0002980369,0.00119535],"category_scores_gemma":[0.0009269137,0.0001863194,0.0003456627,0.002436983,0.0003241007,0.0005981176,0.0007250606,0.0002951149,0.0001187195],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006739435,"about_ca_system_score_gemma":0.0005796427,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03130751,"about_ca_topic_score_gemma":0.04403034,"domain_scores_codex":[0.9997608,0.00003627875,0.0000360046,0.00005911726,0.0000378471,0.00006992846],"domain_scores_gemma":[0.9992207,0.0001055642,0.0003236163,0.0000406499,0.0001297789,0.0001795716],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004244024,0.00001579955,0.9969585,0.000008790925,0.000061347,0.0001057594,0.0002517821,0.000341144,0.000369301,0.0001210523,0.0001926648,0.001531328],"study_design_scores_gemma":[0.000001316733,0.000009956902,0.9983314,0.000002588079,0.00001478127,0.00003194508,0.0004056974,0.001017134,0.00002297859,0.0000425799,0.0001153488,0.000004324811],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991599,0.00004787647,0.00005902795,0.00004424625,0.000002803274,0.000002739702,0.0004097011,0.000003022938,0.0002706751],"genre_scores_gemma":[0.9994239,0.00003210509,0.00003338,0.000005823483,0.000003411735,0.000004260794,0.0003762954,8.733928e-7,0.0001199533],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03130751,"threshold_uncertainty_score":0.06225055,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2895583775","doi":"10.3390/su10103556","title":"Equitable Allocation of Blue and Green Water Footprints Based on Land-Use Types: A Case Study of the Yangtze River Economic Belt","year":2018,"lang":"en","type":"article","venue":"Sustainability","topic":"Water Resources and Sustainability","field":"Environmental Science","cited_by":15,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Windsor","funders":"National Social Science Fund of China; National Natural Science Foundation of China","keywords":"Arable land; Land use; Water use; Agricultural land; Agriculture; Water resources; Water resource management; Farm water; Environmental science; Geography; Water conservation; Natural resource economics; Economics","authors":[{"name":"Gang Liu","is_ca":false},{"name":"Lu Shi","is_ca":false},{"name":"Kevin Li","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01027103857052803,"gpt":0.2371665712615253,"spread":0.2268955326909973,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001462083,0.0005091291,0.0005621677,0.0007459803,0.0005569538,0.001239985,0.0008176569,0.0008515534,0.001719705],"category_scores_gemma":[0.00216445,0.0003238725,0.0006467593,0.001462801,0.0008694979,0.001135911,0.0009427337,0.0004808157,0.00006384022],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003045189,"about_ca_system_score_gemma":0.001603264,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03493958,"about_ca_topic_score_gemma":0.03444088,"domain_scores_codex":[0.9992867,0.0004550709,0.00001791795,0.00006007839,0.00005636215,0.0001239592],"domain_scores_gemma":[0.9993038,0.0004666612,0.00008247341,0.000032661,0.00006205586,0.00005229561],"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":[0.00006174168,0.00007529517,0.007511767,0.00004180588,0.00003219187,0.0004461281,0.0001023609,0.9723629,0.0004853357,0.01153711,0.0002867846,0.007056611],"study_design_scores_gemma":[0.00003656545,0.00005161736,0.002903045,0.000009287099,0.00001994539,0.00004331823,0.0005752542,0.9907932,0.0003455873,0.004525025,0.0006833415,0.00001382737],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9149998,0.0002668496,0.07526993,0.0008077601,0.00001359172,0.0001759387,0.0003234552,0.000042499,0.008100041],"genre_scores_gemma":[0.9849381,0.0001134849,0.01367761,0.00002419373,0.000003743859,0.00006929957,0.00006668747,0.00001008495,0.001096602],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03493958,"threshold_uncertainty_score":0.06947243,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2321468740","doi":"10.1061/41036(342)164","title":"Water Sustainability Index: Application of CWSI for Ahwaz County","year":2009,"lang":"en","type":"article","venue":"World Environmental and Water Resources Congress 2009","topic":"Water Resources and Sustainability","field":"Environmental Science","cited_by":13,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Sustainability; Index (typography); Water resources; Composite index; Environmental science; Environmental resource management; Resource (disambiguation); Geography; Business; Computer science; Composite indicator; Ecology","authors":[{"name":"Jalal Attari","is_ca":false},{"name":"S. Ali Mojahedi","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.003439714268414125,"gpt":0.1969268011426798,"spread":0.1934870868742657,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001439912,0.000288161,0.0002721266,0.003261942,0.0005885084,0.0006345414,0.0003776717,0.0001471405,0.002363732],"category_scores_gemma":[0.004487835,0.00008746746,0.0003797498,0.004828418,0.0002627564,0.000382899,0.0005450223,0.0003064174,0.0002598186],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002183849,"about_ca_system_score_gemma":0.002992135,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0907165,"about_ca_topic_score_gemma":0.1492099,"domain_scores_codex":[0.9989684,0.0001742755,0.000107037,0.00009212585,0.0005764039,0.00008176942],"domain_scores_gemma":[0.9983423,0.0002666199,0.0001415644,0.00007346067,0.001084022,0.00009188347],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005950208,0.0002888447,0.6694336,0.000406694,0.0002408431,0.0003255807,0.002675696,0.01209277,0.007589475,0.005059027,0.01241604,0.2888764],"study_design_scores_gemma":[0.00004423818,0.0004387083,0.9478438,0.00002974761,0.00007162447,0.0001807154,0.003870657,0.02527549,0.005185052,0.001137236,0.01586775,0.00005503273],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9610472,0.00009504321,0.009748867,0.0001508805,0.00004570734,0.0006984298,0.005539578,0.0001346438,0.02253967],"genre_scores_gemma":[0.9552461,0.0000886515,0.03871745,0.00001046643,0.000008216539,0.0004631965,0.003302092,0.0000160886,0.002147744],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0907165,"threshold_uncertainty_score":0.1803769,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4391309068","doi":"10.3390/w16030414","title":"Spatio-Temporal Evaluation of Water Resources System Resilience and Identification of Its Driving Factors in the Yellow River Basin","year":2024,"lang":"en","type":"article","venue":"Water","topic":"Water Resources and Sustainability","field":"Environmental Science","cited_by":10,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Toronto Metropolitan University","funders":"National Natural Science Foundation of China","keywords":"Resilience (materials science); Identification (biology); Structural basin; Environmental science; Water resource management; Hydrology (agriculture); Drainage basin; Water resources; Environmental resource management; Geography; Geology; Cartography; Ecology; Geomorphology; Geotechnical engineering; Biology","authors":[{"name":"Jiaqi Li","is_ca":false},{"name":"Weijun He","is_ca":false},{"name":"Enhui Jiang","is_ca":false},{"name":"Bo Qu","is_ca":false},{"name":"Liang Yuan","is_ca":false},{"name":"Dagmawi Mulugeta Degefu","is_ca":true},{"name":"Thomas Stephen Ramsey","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01348255159863113,"gpt":0.2374743276384125,"spread":0.2239917760397813,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008816238,0.0002449663,0.0002210175,0.001366198,0.0004101367,0.0005828239,0.0002728735,0.0002309482,0.0006311499],"category_scores_gemma":[0.001675167,0.0001453457,0.0004514675,0.001434274,0.0005052728,0.0007737709,0.0007428543,0.0002619599,0.00003842634],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0012997,"about_ca_system_score_gemma":0.0009408497,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07867208,"about_ca_topic_score_gemma":0.08216257,"domain_scores_codex":[0.9996831,0.00007592107,0.0000372509,0.0000730263,0.00005799354,0.00007257079],"domain_scores_gemma":[0.999477,0.0001155343,0.0001429116,0.00004523507,0.0001382878,0.00008113051],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009990978,0.00007228352,0.9446793,0.00008253605,0.0002296403,0.0004970806,0.001471917,0.03398358,0.002658895,0.001760778,0.0004704952,0.01399352],"study_design_scores_gemma":[0.000005625601,0.0000515121,0.9260092,0.00002278838,0.00005813786,0.00005618854,0.002274578,0.06991351,0.0004659386,0.0005563265,0.0005658499,0.0000202903],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990288,0.00003757435,0.0003997517,0.00004074342,0.00000170423,0.000006167313,0.0001464121,0.000009538003,0.0003294596],"genre_scores_gemma":[0.9996423,0.0000224783,0.0001615632,0.000001920333,7.636089e-7,0.000006195832,0.00008680677,8.122886e-7,0.00007719774],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07867208,"threshold_uncertainty_score":0.1564283,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W811339590","doi":"10.25165/ijabe.v1i2.2","title":"Evaluation of regional water security using water poverty index.","year":2008,"lang":"en","type":"article","venue":"International journal of agricultural and biological engineering","topic":"Water Resources and Sustainability","field":"Environmental Science","cited_by":9,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Alberta","funders":"Natural Environment Research Council; National Natural Science Foundation of China","keywords":"Grading (engineering); Index (typography); Poverty; Index method; Water resources; Environmental science; Water security; Water resource management; Mathematics; Business; Engineering; Computer science; Civil engineering; Economics; Economic growth","authors":[{"name":"Qiang Fu","is_ca":false},{"name":"Gary Kachanoski","is_ca":true},{"name":"Dong Liu","is_ca":false},{"name":"Zilong Wang","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02716803910285627,"gpt":0.224481615573476,"spread":0.1973135764706198,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001656796,0.0005998985,0.0004496411,0.005487034,0.0004185632,0.0009575188,0.0003571592,0.0002555083,0.001303924],"category_scores_gemma":[0.002142099,0.0001301512,0.0005586735,0.003714472,0.0003274351,0.001064922,0.001017472,0.0002924203,0.0002358139],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007320117,"about_ca_system_score_gemma":0.0006382595,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004485986,"about_ca_topic_score_gemma":0.007535835,"domain_scores_codex":[0.9986966,0.0002894679,0.0001137089,0.0001069152,0.0007001352,0.00009319622],"domain_scores_gemma":[0.9989583,0.0001657239,0.0002717063,0.00005743869,0.0004756044,0.00007107215],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002615332,0.000215846,0.6074863,0.0005857186,0.0005695235,0.0004956069,0.001727104,0.02507057,0.01577634,0.004917467,0.005028105,0.3378658],"study_design_scores_gemma":[0.00003535848,0.0008474793,0.8033364,0.0001840976,0.0003121412,0.000734097,0.008695564,0.1384499,0.02021845,0.006623427,0.02035475,0.0002081852],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8864653,0.000931662,0.08207835,0.0002180052,0.00007494558,0.0005340132,0.0036962,0.0003254569,0.0256763],"genre_scores_gemma":[0.9697852,0.0002799334,0.02710284,0.00001888103,0.000008957945,0.0001973432,0.0009294478,0.00001931997,0.001658176],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005487034,"threshold_uncertainty_score":0.008919775,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4378086828","doi":"10.3390/su15108428","title":"Development of a Watershed Sustainability Index for the Santiago River Basin, Mexico","year":2023,"lang":"en","type":"article","venue":"Sustainability","topic":"Water Resources and Sustainability","field":"Environmental Science","cited_by":9,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"","keywords":"Sustainability; Watershed; Structural basin; Environmental Sustainability Index; Government (linguistics); Drainage basin; Water resource management; Sustainable development; Environmental planning; Environmental resource management; Geography; Business; Environmental science; Cartography; Geology; Ecology; Computer science","authors":[{"name":"Iyelitzin Núñez-Razo","is_ca":false},{"name":"José de Anda","is_ca":false},{"name":"Héctor Barrios-Piña","is_ca":false},{"name":"Luis Alberto Olvera-Vargas","is_ca":false},{"name":"Mariana García-Ruíz-García","is_ca":true},{"name":"Sofía Hernández-Morales","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01183640189914848,"gpt":0.2561016348176977,"spread":0.2442652329185492,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001001971,0.0004146611,0.000293877,0.004334217,0.0005531703,0.001540434,0.0003150552,0.0003122104,0.001109988],"category_scores_gemma":[0.001414378,0.000113827,0.0003874883,0.003437273,0.0001772729,0.0008382737,0.0007979038,0.0002779514,0.0001132115],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002057816,"about_ca_system_score_gemma":0.001504792,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03428082,"about_ca_topic_score_gemma":0.05268704,"domain_scores_codex":[0.9997255,0.00005144231,0.00003546439,0.0000484359,0.0001028621,0.00003627723],"domain_scores_gemma":[0.9994742,0.0000649969,0.0001345275,0.00002088458,0.0002685405,0.00003679729],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001105991,0.0002040605,0.8446634,0.0002244501,0.0002161729,0.0002352105,0.0008009723,0.009464879,0.004702156,0.002702855,0.00540454,0.1312706],"study_design_scores_gemma":[0.00002023631,0.0001150048,0.9614449,0.00006246784,0.0001046806,0.00006933346,0.001703876,0.01796321,0.001854558,0.000635471,0.01599948,0.00002682236],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9599221,0.0005210851,0.01190493,0.0003837887,0.00005014858,0.0005080384,0.00692287,0.0002228557,0.01956415],"genre_scores_gemma":[0.9382595,0.000556428,0.04749032,0.00003413253,0.0000241641,0.0006522122,0.01034895,0.00002928983,0.002604917],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03428082,"threshold_uncertainty_score":0.06816256,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4310053204","doi":"10.1139/er-2022-0093","title":"Review on resource and environmental carrying capacity of mining areas in China","year":2022,"lang":"en","type":"article","venue":"Environmental Reviews","topic":"Water Resources and Sustainability","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"Geomechanica (Canada)","funders":"","keywords":"Carrying capacity; Resource (disambiguation); Coal mining; Process (computing); Environmental resource management; Business; Coal; Environmental science; Computer science; Engineering; Ecology","authors":[{"name":"Jiaqi Wang","is_ca":false},{"name":"Yanli Huang","is_ca":false},{"name":"Laiwei Wu","is_ca":false},{"name":"Peixing Jing","is_ca":false},{"name":"Junmeng Li","is_ca":true},{"name":"Shenyang Ouyang","is_ca":false},{"name":"Yachao Guo","is_ca":false},{"name":"Wenzheng Wang","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01477854958149339,"gpt":0.2174966664157644,"spread":0.202718116834271,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009367106,0.001136892,0.001377613,0.006590684,0.0004677449,0.001194179,0.0007884443,0.0005402644,0.002774068],"category_scores_gemma":[0.001074658,0.0004247192,0.001035417,0.009599075,0.0004353155,0.001853128,0.0006043303,0.0004157358,0.0003313484],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001381031,"about_ca_system_score_gemma":0.005596553,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02297348,"about_ca_topic_score_gemma":0.02699742,"domain_scores_codex":[0.9994416,0.00007950328,0.0001569406,0.00007837825,0.0002044376,0.00003912353],"domain_scores_gemma":[0.9994338,0.0001969251,0.0001134625,0.00001424854,0.0002070221,0.00003448358],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008188868,0.00005263395,0.003516507,0.1026969,0.000517312,0.0004228807,0.0007161862,0.001443214,0.002112615,0.005821146,0.03413478,0.848484],"study_design_scores_gemma":[0.00002017771,0.0002438872,0.03757118,0.02227565,0.001385134,0.001248255,0.0008037409,0.000596704,0.001328062,0.002263468,0.9321604,0.000103289],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001826318,0.9947056,0.0002803194,0.0003066539,0.0002431468,0.00001707901,0.0001542853,0.00001119433,0.002455497],"genre_scores_gemma":[0.006335317,0.9923974,0.0002931044,0.0001056233,0.0001132838,0.00001349671,0.0001304603,0.000002130504,0.0006092269],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.02297348,"threshold_uncertainty_score":0.04567951,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2570332650","doi":"10.5539/enrr.v7n1p21","title":"Evaluation and Prediction of Regional Water Resources Carrying Capacity: A Case Study of Shandong Province","year":2017,"lang":"en","type":"article","venue":"Environment and Natural Resources Research","topic":"Water Resources and Sustainability","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Water resources; Autoregressive integrated moving average; China; Carrying capacity; Water resource management; Per capita; Arid; Environmental science; Water supply; Business; Geography; Environmental engineering; Computer science; Time series; Population; Geology","authors":[{"name":"Hongyan Liao","is_ca":false},{"name":"Yuabiao Zhang","is_ca":false},{"name":"Zhifeng Chen","is_ca":false},{"name":"Zexin Meng","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.06944207269744852,"gpt":0.3191200948711262,"spread":0.2496780221736777,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001326638,0.0008589493,0.0004556381,0.001228716,0.0005821266,0.0007920027,0.0009996564,0.000702236,0.0005932539],"category_scores_gemma":[0.002392797,0.0004135271,0.0008118671,0.001541026,0.0005551158,0.0008627754,0.0005342311,0.0005152774,0.00006869013],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00406389,"about_ca_system_score_gemma":0.002804649,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.379064,"about_ca_topic_score_gemma":0.2626823,"domain_scores_codex":[0.999661,0.00009292563,0.00002552269,0.00008141784,0.00006225959,0.00007703511],"domain_scores_gemma":[0.9984714,0.0007024553,0.0001682768,0.0001127463,0.0003962396,0.0001488203],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001405079,0.0003040958,0.1828679,0.00005457254,0.0001184954,0.001410349,0.000351331,0.7996166,0.001670894,0.0006276821,0.0006228271,0.01221468],"study_design_scores_gemma":[0.00001466962,0.00006242208,0.02525734,0.000004801411,0.00002619049,0.0000265939,0.0002938565,0.9732935,0.000742955,0.0001274585,0.0001340113,0.00001606413],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987044,0.00001695767,0.0007480021,0.00004985758,0.000002222725,0.00001176066,0.0001508039,0.00002285271,0.0002929577],"genre_scores_gemma":[0.9979482,0.00003846794,0.00137013,0.000004702018,0.000001581161,0.00001280707,0.0003287892,0.000003882276,0.0002914378],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.379064,"threshold_uncertainty_score":0.7537152,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2321970426","doi":"10.2166/wst.2003.0383","title":"Alleviating water scarcity in Northern China: balancing options and policies among Chinese decision-makers","year":2003,"lang":"en","type":"article","venue":"Water Science & Technology","topic":"Water Resources and Sustainability","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Université Laval","funders":"","keywords":"Water scarcity; China; Scarcity; Agriculture; Natural resource economics; Economic shortage; Water conservation; Business; Water pricing; Water resources; Demand management; Water resource management; Economics; Environmental planning; Environmental science; Geography; Market economy; Ecology","authors":[{"name":"Frédèric Lasserre","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.002742184778615648,"gpt":0.2097994431640902,"spread":0.2070572583854746,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006516269,0.000619216,0.0006385536,0.001146899,0.002589511,0.004448308,0.0009459588,0.001573189,0.002570039],"category_scores_gemma":[0.005540695,0.00029174,0.0003352453,0.001473763,0.002546236,0.002109274,0.001672351,0.0009160335,0.000106817],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01363967,"about_ca_system_score_gemma":0.01625077,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07836885,"about_ca_topic_score_gemma":0.0845276,"domain_scores_codex":[0.9976152,0.001236313,0.00007376394,0.0001114615,0.000277566,0.0006857138],"domain_scores_gemma":[0.9967958,0.001635928,0.0003382832,0.00005936821,0.0003777124,0.000792862],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"qualitative","study_design_scores_codex":[0.001823974,0.0007331245,0.1404808,0.001062035,0.0005168015,0.003221086,0.0357735,0.3314703,0.00647107,0.2378526,0.02034046,0.2202542],"study_design_scores_gemma":[0.0005655196,0.0006422854,0.1088588,0.0006767777,0.0003692837,0.0001697423,0.09160851,0.4405471,0.004075529,0.3120386,0.0401079,0.0003399461],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9628594,0.001365282,0.002528976,0.01157298,0.00003875823,0.0001624206,0.00007269083,0.00002048337,0.02137898],"genre_scores_gemma":[0.9966857,0.0006952743,0.0008461443,0.0003223824,0.0000246474,0.00005697973,0.0000275644,0.000002527953,0.001338774],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07836885,"threshold_uncertainty_score":0.1558254,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1988604749","doi":"10.5430/ijfr.v3n1p105","title":"Theoretical Research of the Urban Comprehensive Carrying Capacity in the Epoch of Urbanization","year":2012,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Water Resources and Sustainability","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Carrying capacity; Urbanization; Context (archaeology); Process (computing); Resource (disambiguation); Sustainable development; Urban climate; Epoch (astronomy); Environmental resource management; Environmental planning; Geography; Economic geography; Environmental economics; Natural resource economics; Environmental science; Computer science; Economics; Ecology; Economic growth; Biology","authors":[{"name":"LI Chang-liang","is_ca":false},{"name":"Lina Lian","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1225469789069496,"gpt":0.384534520133851,"spread":0.2619875412269014,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006750594,0.0003500544,0.0001963645,0.001510015,0.001196093,0.001982872,0.0006345381,0.000674036,0.003494575],"category_scores_gemma":[0.001449394,0.0001630034,0.0003118924,0.001938208,0.008578836,0.00350538,0.001342001,0.001123846,0.0002086385],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003183163,"about_ca_system_score_gemma":0.0009512831,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004823636,"about_ca_topic_score_gemma":0.003298013,"domain_scores_codex":[0.9997589,0.00007873402,0.000008206456,0.00004156453,0.00005247959,0.00006009904],"domain_scores_gemma":[0.9993829,0.0003469056,0.00007255965,0.00006068144,0.00007797434,0.00005894738],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[9.697791e-7,0.000001492538,0.000165002,0.000008572644,8.982336e-7,0.00001204876,0.0002443805,0.001794596,0.00002435581,0.996161,0.000195296,0.001391324],"study_design_scores_gemma":[0.000001195957,0.000006733081,0.001013192,0.00003718065,0.000004094927,0.00004447819,0.0006097651,0.005112586,0.00007129604,0.9785433,0.01454727,0.000008740402],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2699918,0.009898184,0.1292098,0.02273509,0.0003787474,0.00004978786,0.0005024426,0.0001020815,0.567132],"genre_scores_gemma":[0.9846581,0.002676687,0.005429677,0.000222385,0.0001565307,0.00003720548,0.00005925991,0.00001563701,0.006744409],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004823636,"threshold_uncertainty_score":0.02309555,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4399200843","doi":"10.1139/er-2023-0135","title":"Ecological carrying capacity assessment incorporating ecosystem service flows","year":2024,"lang":"en","type":"article","venue":"Environmental Reviews","topic":"Water Resources and Sustainability","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"National Natural Science Foundation of China","keywords":"Carrying capacity; Environmental resource management; Ecosystem services; Ecology; Environmental science; Ecosystem; Biology","authors":[{"name":"Guangjie Zhang","is_ca":false},{"name":"Chuxiong Deng","is_ca":false},{"name":"Yaojun Liu","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02411830872484646,"gpt":0.2546084652727058,"spread":0.2304901565478593,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002596201,0.0008485172,0.000361564,0.005851598,0.0003927035,0.00133097,0.00088541,0.0004962192,0.002015274],"category_scores_gemma":[0.004528397,0.0001733812,0.0006787996,0.002987194,0.0007696471,0.002476082,0.001142086,0.0004823685,0.0001869479],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002210482,"about_ca_system_score_gemma":0.001877779,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0121193,"about_ca_topic_score_gemma":0.01015992,"domain_scores_codex":[0.9990925,0.0002721612,0.00005701534,0.00007927385,0.0003959023,0.0001031826],"domain_scores_gemma":[0.9985947,0.000584055,0.0001604261,0.00006945962,0.0005329025,0.00005833178],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00004042647,0.00005230861,0.01773867,0.0003632397,0.0001304664,0.0001747838,0.0003998867,0.514975,0.002465531,0.2479411,0.003765389,0.2119531],"study_design_scores_gemma":[0.000006207928,0.000109191,0.01663301,0.0002640713,0.0001012247,0.0002037054,0.0007349542,0.795741,0.002415822,0.1532473,0.03042848,0.0001150949],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1881509,0.002980971,0.7046986,0.001078393,0.0001347243,0.0003945639,0.001482934,0.0003784426,0.1007004],"genre_scores_gemma":[0.9008337,0.002647726,0.08992875,0.00005883229,0.00005266726,0.0002327168,0.0006623766,0.00004562973,0.005537712],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0121193,"threshold_uncertainty_score":0.0240975,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4362603237","doi":"10.1016/j.heliyon.2023.e15079","title":"A mathematical meta-model for assessing the self-sufficient water resources carrying capacity across different spatial scales in Iran","year":2023,"lang":"en","type":"article","venue":"Heliyon","topic":"Water Resources and Sustainability","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Institut National de la Recherche Scientifique; University of New Brunswick","funders":"Institut national de la recherche scientifique","keywords":"Mathematical model; Water resources; Environmental science; Econometrics; Management science; Computer science; Mathematics; Engineering; Statistics; Ecology; Biology","authors":[{"name":"Mostafa Khorsandi","is_ca":true},{"name":"Motahare Bateni","is_ca":false},{"name":"Pieter van Oel","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.05666559792221778,"gpt":0.297886431295188,"spread":0.2412208333729703,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00134041,0.001097119,0.001254109,0.001710732,0.000704055,0.002459484,0.0028716,0.00185553,0.003278103],"category_scores_gemma":[0.002709322,0.0008160601,0.002654353,0.001608406,0.001020057,0.001967835,0.001648165,0.001272574,0.0003006817],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003156624,"about_ca_system_score_gemma":0.002681035,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03407886,"about_ca_topic_score_gemma":0.01747362,"domain_scores_codex":[0.9995613,0.0001428319,0.00002675037,0.0001124298,0.00006989876,0.0000868553],"domain_scores_gemma":[0.9986547,0.0007554494,0.0002271929,0.00004927554,0.0002326609,0.00008078856],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00000929742,0.00001092476,0.0008468705,0.000028263,0.00005202318,0.00005422819,0.00002384199,0.9859941,0.0001511025,0.01110372,0.0002222158,0.001503402],"study_design_scores_gemma":[0.000008331293,0.000009819462,0.0002200207,0.00000913284,0.00003303233,0.00001415373,0.00001888842,0.9934973,0.0000422016,0.00570722,0.0004314785,0.000008508563],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1592308,0.002002516,0.8075873,0.00253811,0.0001644008,0.0002050043,0.00254123,0.0004162405,0.02531441],"genre_scores_gemma":[0.906247,0.00130295,0.08067498,0.000304906,0.00007481411,0.0006322832,0.001096216,0.0001134569,0.009553407],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03407886,"threshold_uncertainty_score":0.067761,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1977855132","doi":"10.1007/s10393-011-0730-x","title":"Water Management Challenges in the Context of Agricultural Intensification and Endemic Fluorosis: The Case of Yuanmou County","year":2011,"lang":"en","type":"article","venue":"EcoHealth","topic":"Water Resources and Sustainability","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"Ministry of Agriculture of the People's Republic of China; International Development Research Centre; International Centre for Integrated Mountain Development","keywords":"Geography; Agriculture; Water scarcity; Context (archaeology); Local government; China; Rainwater harvesting; Water resources; Water resource management; Environmental planning; Animal ecology; Business; Environmental protection; Environmental science; Ecology","authors":[{"name":"Jing Fang","is_ca":false},{"name":"Xinan Wu","is_ca":false},{"name":"Jianchu Xu","is_ca":false},{"name":"Xuefei Yang","is_ca":false},{"name":"Xiaoxiao Song","is_ca":false},{"name":"Guangan Wang","is_ca":false},{"name":"Mei Yan","is_ca":false},{"name":"Danni Wang","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03823959714015322,"gpt":0.229774589339925,"spread":0.1915349921997718,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000627423,0.0002537924,0.0003442733,0.000549674,0.009732776,0.002247811,0.001023621,0.003228313,0.002605337],"category_scores_gemma":[0.001169745,0.0003032352,0.0003366317,0.0009478917,0.002382071,0.001023237,0.002425893,0.001868821,0.00009290305],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004832803,"about_ca_system_score_gemma":0.006012435,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1892376,"about_ca_topic_score_gemma":0.3908662,"domain_scores_codex":[0.9992254,0.0002156261,0.00001514622,0.00003265389,0.00003432904,0.0004768605],"domain_scores_gemma":[0.9992182,0.0001416723,0.000107146,0.00002116284,0.00007056365,0.0004412117],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"case_report","study_design_gemma":"observational","study_design_scores_codex":[0.0006128885,0.001566771,0.3057196,0.0003809669,0.0002861881,0.4571496,0.1202384,0.01326097,0.008815238,0.04440544,0.01204538,0.03551849],"study_design_scores_gemma":[0.0000859991,0.000474481,0.1460204,0.0001835064,0.0001410588,0.03128868,0.7722929,0.006911501,0.00121901,0.008516355,0.03275687,0.0001092067],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9916721,0.000119188,0.0001036972,0.004837016,0.00001162226,0.00001290751,0.00002341921,0.000003833321,0.003216267],"genre_scores_gemma":[0.9987056,0.0001322103,0.0001383975,0.0002433407,0.00001021848,0.000005832944,0.0000110831,0.000001854217,0.0007513876],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1892376,"threshold_uncertainty_score":0.3762722,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1564072573","doi":"10.3386/w18124","title":"Water Availability as a Constraint on China's Future Growth","year":2012,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Water Resources and Sustainability","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Western University","funders":"","keywords":"Constraint (computer-aided design); China; Environmental science; Geography; Mathematics; Archaeology","authors":[{"name":"Dana Medianu","is_ca":true},{"name":"John Whalley","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1480706672781154,"gpt":0.4238873593613953,"spread":0.27581669208328,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001076815,0.0002564535,0.0002168788,0.0007755281,0.0005519245,0.001387798,0.0002663105,0.0002493908,0.001989279],"category_scores_gemma":[0.002535421,0.0001512959,0.0003163823,0.00142274,0.000416591,0.001228428,0.0007387587,0.0004324029,0.00009881247],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002474556,"about_ca_system_score_gemma":0.002510712,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06629656,"about_ca_topic_score_gemma":0.08391324,"domain_scores_codex":[0.9996985,0.00005076429,0.00002323046,0.0000338726,0.00008596219,0.0001077597],"domain_scores_gemma":[0.9982302,0.0004787133,0.0005319972,0.0001318742,0.0003938794,0.0002333694],"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":[0.0002890973,0.00006281421,0.7521793,0.000154338,0.0001078465,0.001682395,0.001284872,0.08656358,0.007368647,0.0940203,0.005197035,0.05108978],"study_design_scores_gemma":[0.00002809303,0.0001458481,0.8254051,0.00007666403,0.0000997614,0.0002762089,0.001967469,0.1068005,0.006878552,0.02526126,0.03298197,0.0000786505],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9743236,0.0003808546,0.0009021243,0.001280522,0.00001652329,0.00001396656,0.000974315,0.00002473579,0.02208333],"genre_scores_gemma":[0.9979042,0.0002971368,0.0001945898,0.00002280036,0.000008675378,0.000005864856,0.0003481845,0.000005121251,0.001213363],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06629656,"threshold_uncertainty_score":0.1318213,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4412958154","doi":"10.1016/j.ecolind.2025.113982","title":"Bayesian multistage factorial analysis for unveiling multi-indicator effects on synergistic carrying capacity of water resource, environment and ecology: A case study of Ordos","year":2025,"lang":"en","type":"article","venue":"Ecological Indicators","topic":"Water Resources and Sustainability","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Regina","funders":"National Key Research and Development Program of China; Foundation for Innovative Research Groups of the National Natural Science Foundation of China; National Natural Science Foundation of China","keywords":"Carrying capacity; Environmental science; Factorial analysis; Ecology; Resource (disambiguation); Bayesian probability; Computer science; Mathematics; Biology; Statistics","authors":[{"name":"Yueying Wang","is_ca":false},{"name":"Y.P. Li","is_ca":false},{"name":"Z. P. Xu","is_ca":true},{"name":"Yanfeng Li","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01292560518795289,"gpt":0.2505966340952345,"spread":0.2376710289072816,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007689828,0.0009376794,0.0008018474,0.002535293,0.001172939,0.001409378,0.0007768354,0.0006252594,0.001336442],"category_scores_gemma":[0.009006573,0.0003179201,0.001771092,0.003087271,0.001030075,0.001334696,0.001438105,0.0007424566,0.00008531412],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002323383,"about_ca_system_score_gemma":0.002533186,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0483521,"about_ca_topic_score_gemma":0.05358614,"domain_scores_codex":[0.99636,0.002295188,0.0001162692,0.000498091,0.0004568047,0.0002735998],"domain_scores_gemma":[0.9952513,0.00305759,0.000451953,0.0002680301,0.0007484821,0.000222606],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001096081,0.0009067912,0.3667768,0.0004180704,0.0009562938,0.003426654,0.005429992,0.3119063,0.01095708,0.05504258,0.002773539,0.2403098],"study_design_scores_gemma":[0.00005037901,0.0003237468,0.08228426,0.00004066462,0.000241119,0.0002305606,0.002732555,0.8870798,0.002077657,0.0215247,0.003287216,0.0001272628],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.768046,0.0003106112,0.2260998,0.0003228851,0.00003083867,0.0003264289,0.0005026048,0.0001695991,0.004191261],"genre_scores_gemma":[0.9161035,0.0001158653,0.08240509,0.00002856656,0.00001151129,0.0001392241,0.0002092774,0.00003104153,0.0009559467],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0483521,"threshold_uncertainty_score":0.09614128,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2000099095","doi":"10.4000/vertigo.13982","title":"Mesures de la pauvreté en eau : analyse comparative et développement de l‘indice de pauvreté en eau","year":2013,"lang":"fr","type":"article","venue":"VertigO","topic":"Water Resources and Sustainability","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Valuation (finance); Philosophy; Economics","authors":[{"name":"Hatem Jemmali","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01142579115428306,"gpt":0.299990725239772,"spread":0.2885649340854889,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003146429,0.0005245511,0.0006190455,0.003947144,0.0005343467,0.002626474,0.0006572855,0.00064685,0.004024286],"category_scores_gemma":[0.008098613,0.0003229253,0.0008505495,0.006204467,0.00082556,0.001616425,0.001116574,0.0005525474,0.0008026218],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001187908,"about_ca_system_score_gemma":0.0007786587,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01196957,"about_ca_topic_score_gemma":0.02060653,"domain_scores_codex":[0.9982907,0.0005260022,0.0001208019,0.0003583004,0.0006159403,0.00008815396],"domain_scores_gemma":[0.9928898,0.003474246,0.001105638,0.0003345404,0.001974711,0.0002210393],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005113645,0.0001783081,0.6617603,0.001682406,0.0006350632,0.0003811418,0.02536279,0.003459502,0.01497781,0.002853174,0.001138855,0.2870594],"study_design_scores_gemma":[0.000004225669,0.0002765287,0.9680393,0.0002446271,0.0001337356,0.0002468733,0.0112184,0.002307195,0.004901841,0.0005813816,0.01199146,0.00005438364],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9599022,0.003155503,0.0159215,0.0001912619,0.00003418894,0.0001624667,0.001748713,0.0001321464,0.01875204],"genre_scores_gemma":[0.9784743,0.001481022,0.01317612,0.00003406939,0.00001252225,0.0001566454,0.0009547428,0.00004091233,0.00566968],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01196957,"threshold_uncertainty_score":0.02379978,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3114247898","doi":"10.18280/ijsdp.150820","title":"Evaluation and Drivers of Green Agricultural Water Use Efficiency in Yangtze River Economic Zone","year":2020,"lang":"en","type":"article","venue":"International Journal of Sustainable Development and Planning","topic":"Water Resources and Sustainability","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Tobit model; Agriculture; Environmental science; Yangtze river; Irrigation; Water resource management; Research Object; Panel data; Water resources; Agricultural economics; Geography; China; Economics; Ecology","authors":[{"name":"Lelai Shi","is_ca":false},{"name":"Jing Zhou","is_ca":false},{"name":"Suhui Liu","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01566422983553167,"gpt":0.2272150344676798,"spread":0.2115508046321481,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001368,0.000316211,0.0002592966,0.001618101,0.0002836937,0.001295497,0.00034314,0.0002891124,0.0008836258],"category_scores_gemma":[0.002313581,0.0001787123,0.0006751858,0.002665913,0.0005252949,0.001223386,0.001069792,0.0003773428,0.00007112805],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001413772,"about_ca_system_score_gemma":0.0008798825,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02048032,"about_ca_topic_score_gemma":0.01858617,"domain_scores_codex":[0.9993049,0.0002050534,0.00006541741,0.0001102748,0.0001677563,0.0001466824],"domain_scores_gemma":[0.9989236,0.0003948434,0.0002706083,0.0000742603,0.000249041,0.00008771307],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003724399,0.00004812817,0.9771463,0.00004417733,0.0001494873,0.0002332452,0.0007514404,0.01082559,0.0006614445,0.001715996,0.0002225548,0.008164382],"study_design_scores_gemma":[0.000004406692,0.00005096925,0.9722307,0.0000153328,0.00004960471,0.00004217331,0.002820649,0.02293021,0.0004338634,0.0005689128,0.0008348982,0.00001830429],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983928,0.00003944968,0.0005883478,0.00006632998,0.000001188514,0.00001068828,0.0002051793,0.000006955099,0.0006890899],"genre_scores_gemma":[0.9994915,0.00003276139,0.000146561,0.000003678306,8.737068e-7,0.00000954201,0.0001820515,0.00000150905,0.000131597],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02048032,"threshold_uncertainty_score":0.04072219,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2883316831","doi":"10.1088/1755-1315/170/2/022116","title":"Say No to the Thirsty Planet: Too Few Freshwater for the Daily Life of Human Beings","year":2018,"lang":"en","type":"article","venue":"IOP Conference Series Earth and Environmental Science","topic":"Water Resources and Sustainability","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"China; Per capita; Natural resource economics; Resource (disambiguation); Quarter (Canadian coin); Population; Water resources; Carrying capacity; Geography; Fresh water; Business; Environmental science; Water resource management; Ecology; Economics; Demography; Biology; Computer science; Sociology","authors":[{"name":"Tao Hu","is_ca":false},{"name":"Changwei Pang","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01058712407966804,"gpt":0.205165569348989,"spread":0.194578445269321,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001815371,0.0003291066,0.0001893897,0.0003709198,0.0008095283,0.00129234,0.001021148,0.0008260486,0.004743137],"category_scores_gemma":[0.0006067285,0.0002336797,0.0003589811,0.0009150918,0.001503479,0.002788974,0.001011561,0.0007922122,0.0004618587],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001634402,"about_ca_system_score_gemma":0.002023543,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05587234,"about_ca_topic_score_gemma":0.04712223,"domain_scores_codex":[0.9998968,0.00002126662,0.000002438397,0.00002504743,0.00002873743,0.00002578273],"domain_scores_gemma":[0.9998564,0.00003768165,0.00002800124,0.000009637221,0.00003421445,0.00003412803],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001922269,0.0002189817,0.07191291,0.0007826333,0.0001324509,0.003006212,0.002746297,0.2973547,0.005344198,0.4426218,0.09070937,0.08497811],"study_design_scores_gemma":[0.00004639486,0.0002636955,0.04735558,0.0002734106,0.0001634352,0.001249275,0.004445924,0.5663218,0.002325383,0.2905134,0.08683635,0.000205391],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"commentary","genre_scores_codex":[0.6892487,0.005138981,0.0692699,0.04803101,0.001093677,0.0001414093,0.004287396,0.0006215175,0.1821674],"genre_scores_gemma":[0.9820545,0.001718132,0.003172242,0.0007004173,0.00009388808,0.00003526361,0.0003466658,0.00003018881,0.01184872],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.05587234,"threshold_uncertainty_score":0.1110942,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4412710174","doi":"10.1016/j.ijdrr.2025.105732","title":"Unpacking drought impacts and adaptive strategies in Morocco – perspectives from small-scale farmers","year":2025,"lang":"en","type":"article","venue":"International Journal of Disaster Risk Reduction","topic":"Water Resources and Sustainability","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Agriculture and Agri-Food Canada","funders":"Engineering and Physical Sciences Research Council; Universidade de São Paulo; Global Challenges Research Fund; UK Research and Innovation; Université Mohammed VI Polytechnique; Institut National de la Recherche Agronomique; Newton Fund","keywords":"Unpacking; Scale (ratio); Environmental resource management; Environmental science; Geography; Cartography","authors":[{"name":"Elisabeth Shrimpton","is_ca":false},{"name":"Tanaya Sarmah","is_ca":false},{"name":"Nazmiye Balta‐Ozkan","is_ca":false},{"name":"Sanaa Malki","is_ca":false},{"name":"Ahmed Jelloul","is_ca":true},{"name":"Mohammed Ouikhalfan","is_ca":false},{"name":"Abdelaziz Nilahyane","is_ca":false},{"name":"Lamfeddal Kouisni","is_ca":false},{"name":"Da Huo","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.005909921217791361,"gpt":0.2461260932302809,"spread":0.2402161720124895,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001712594,0.0003333178,0.0001801261,0.0005403676,0.003263565,0.002193123,0.0004466246,0.0005809607,0.001271337],"category_scores_gemma":[0.001183938,0.0001263142,0.0001254749,0.0006253574,0.002732288,0.001486416,0.001689624,0.000531983,0.00006948134],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003404579,"about_ca_system_score_gemma":0.001481444,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02892534,"about_ca_topic_score_gemma":0.06219212,"domain_scores_codex":[0.9993429,0.0003811525,0.00001301599,0.00003887384,0.00003953262,0.0001845807],"domain_scores_gemma":[0.9994144,0.0003289503,0.00008807226,0.00001711684,0.00006334962,0.00008808721],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00009189574,0.00009725871,0.04528183,0.0003551342,0.00002399275,0.004540225,0.9056895,0.0005310143,0.004494657,0.008590476,0.001157793,0.02914625],"study_design_scores_gemma":[0.000003685837,0.00006440385,0.0439165,0.0001296986,0.00001233919,0.000250453,0.93644,0.0002773982,0.0003944168,0.001386938,0.01711023,0.00001391563],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9914083,0.0009494939,0.000207919,0.002013722,0.00001354716,0.0000114106,0.00001923168,0.000001583051,0.005374726],"genre_scores_gemma":[0.9988778,0.0004757409,0.0001076564,0.0001169728,0.000006605676,0.000005964187,0.000004838941,7.889543e-7,0.0004036964],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02892534,"threshold_uncertainty_score":0.05751395,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4415754007","doi":"10.1016/j.ejrh.2025.102887","title":"Assessing and forecasting water security in transboundary river basins via inter- and intra- subsystem dynamics","year":2025,"lang":"en","type":"article","venue":"Journal of Hydrology Regional Studies","topic":"Water Resources and Sustainability","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"Ministry of Education of the People's Republic of China; National Natural Science Foundation of China","keywords":"Drainage basin; Vulnerability (computing); Water security; Mekong river; Watershed; Sustainability; Riparian zone; Hydrology (agriculture)","authors":[{"name":"Juan Cheng","is_ca":false},{"name":"Liang Yuan","is_ca":false},{"name":"Weijun He","is_ca":false},{"name":"Xia Wu","is_ca":false},{"name":"Dagmawi Mulugeta Degefu","is_ca":true},{"name":"Yang Kong","is_ca":false},{"name":"Thomas Stephen Ramsey","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01872058138965771,"gpt":0.2657472897916124,"spread":0.2470267084019547,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004560935,0.0004108282,0.0001871905,0.0006483046,0.0002619846,0.0007671794,0.0003866212,0.0004160879,0.0005116255],"category_scores_gemma":[0.001132377,0.0001787474,0.0003925828,0.0006231436,0.0003841273,0.001534076,0.0008292514,0.0003339817,0.00004268063],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001267292,"about_ca_system_score_gemma":0.0008111495,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03111125,"about_ca_topic_score_gemma":0.03206809,"domain_scores_codex":[0.9998533,0.00004651283,0.000008928393,0.00004358514,0.00002545316,0.00002219965],"domain_scores_gemma":[0.9997568,0.00006151642,0.00006865127,0.00001947718,0.0000662539,0.00002735863],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003659459,0.00003051848,0.1055231,0.00005145921,0.0001448033,0.0001822909,0.0002084128,0.8580385,0.004280698,0.009169703,0.0004102263,0.02192371],"study_design_scores_gemma":[0.00000152983,0.00001724296,0.01196551,0.000005436551,0.00001420121,0.00001842037,0.0001205793,0.9838885,0.0004295108,0.003045519,0.0004860705,0.000007448643],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9112163,0.0002501142,0.08463194,0.0004472511,0.00002515846,0.00003600692,0.0003355703,0.00009198495,0.002965698],"genre_scores_gemma":[0.9960944,0.00005693007,0.00342498,0.000009352063,0.000002061999,0.000008210695,0.00008967135,0.000005025774,0.0003093757],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03111125,"threshold_uncertainty_score":0.06186032,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4411801833","doi":"10.2166/wcc.2025.733","title":"Evaluation of water resources carrying capacity in the Yellow River Basin: a Hu Huanyong Line perspective","year":2025,"lang":"en","type":"article","venue":"Journal of Water and Climate Change","topic":"Water Resources and Sustainability","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Alberta","funders":"Natural Science Foundation of Hubei Province; National Natural Science Foundation of China","keywords":"Carrying capacity; Drainage basin; Perspective (graphical); Water resource management; Water resources; Line (geometry); Hydrology (agriculture); Environmental science; Geography; Geology; Mathematics; Computer science; Geotechnical engineering; Ecology; Biology; Cartography; Artificial intelligence","authors":[{"name":"Yuyan Fan","is_ca":false},{"name":"Yue Yu","is_ca":false},{"name":"Tingting Song","is_ca":false},{"name":"Qiang Yan","is_ca":false},{"name":"Yan Zhang","is_ca":false},{"name":"Yang Yang","is_ca":true},{"name":"Pei Tian","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.05910164099145086,"gpt":0.282536040875175,"spread":0.2234343998837241,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007157878,0.0002922163,0.0002212115,0.002244465,0.0003831896,0.0009805369,0.0002352526,0.0001892204,0.0008067137],"category_scores_gemma":[0.0009955931,0.000114691,0.0002716818,0.002451285,0.0004781632,0.0007645962,0.0005975665,0.0001645146,0.00002604938],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001732963,"about_ca_system_score_gemma":0.001175562,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04684714,"about_ca_topic_score_gemma":0.04467197,"domain_scores_codex":[0.9997229,0.00008393313,0.00002159192,0.00004057823,0.00008211497,0.00004889733],"domain_scores_gemma":[0.9995667,0.0001022746,0.00007535725,0.00002576803,0.0001679732,0.00006184134],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00010723,0.00009729649,0.8780716,0.00008205674,0.000161928,0.0004205775,0.0009117937,0.08370692,0.00307069,0.004443452,0.0005802657,0.02834615],"study_design_scores_gemma":[0.00001289396,0.0001501254,0.7171334,0.00002996332,0.00007424725,0.00009208093,0.003548612,0.2737071,0.001327831,0.002660805,0.00122181,0.00004098286],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976672,0.00002594912,0.001290756,0.00002710969,0.000001321141,0.00001218016,0.0001450026,0.000006462573,0.0008240693],"genre_scores_gemma":[0.9993868,0.00001579684,0.0003901223,0.000001581201,6.428625e-7,0.00000748669,0.00007709533,7.774847e-7,0.0001197092],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04684714,"threshold_uncertainty_score":0.09314889,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2379459575","doi":"","title":"Developing model of Wuwei City under the control of water resources with the STIRPAT model","year":2013,"lang":"en","type":"article","venue":"Ganhanqu dili","topic":"Water Resources and Sustainability","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Science North","funders":"","keywords":"Urbanization; Water resources; Per capita; Population; Consumption (sociology); Environmental science; Driving factors; China; Population growth; Water resource management; Natural resource economics; Agricultural economics; Geography; Economics; Economic growth; Demography","authors":[{"name":"Jin Shu-tin","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01598179976625494,"gpt":0.2010889816571741,"spread":0.1851071818909192,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004810778,0.0008213182,0.000979319,0.0007659621,0.0009805448,0.002045254,0.002001498,0.00235662,0.008524286],"category_scores_gemma":[0.001082466,0.0007166502,0.001577841,0.001004337,0.0008204358,0.001686231,0.001520807,0.001469149,0.0009237442],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00185271,"about_ca_system_score_gemma":0.002027697,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09700321,"about_ca_topic_score_gemma":0.03296176,"domain_scores_codex":[0.9996707,0.0000911629,0.00001308636,0.00009745604,0.00004906903,0.00007846025],"domain_scores_gemma":[0.9995953,0.0001256046,0.00006424224,0.00001564198,0.0001556176,0.00004352833],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002814036,0.00001997941,0.001222426,0.000029904,0.00002339361,0.0002216417,0.0000588453,0.9875284,0.0003489613,0.00853047,0.0005123915,0.001475518],"study_design_scores_gemma":[0.00001407542,0.00001325366,0.0003080551,0.000005370957,0.0000144338,0.00001774907,0.00004127365,0.9973476,0.00005852723,0.001518305,0.0006532134,0.000008225416],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4590431,0.001308012,0.4017783,0.004569077,0.0003915878,0.0002903569,0.003646693,0.001116575,0.1278563],"genre_scores_gemma":[0.9590138,0.0005397789,0.009529982,0.0001269743,0.00005225237,0.0002538756,0.0007129908,0.0000670896,0.02970321],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09700321,"threshold_uncertainty_score":0.1928772,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"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,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"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","authors":[{"name":"Ying Ma","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01530163210333569,"gpt":0.2239001041103789,"spread":0.2085984720070432,"validation_status":"score_only:v0-immature-baseline"},"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"},"labels":[],"label_agreement":null},{"id":"W4416916866","doi":"10.3390/w17233414","title":"Prediction and Early Warning of Water Environmental Carrying Capacity Based on Kernel Density Estimation Method and Markov Chain Model","year":2025,"lang":"en","type":"article","venue":"Water","topic":"Water Resources and Sustainability","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Toronto Metropolitan University","funders":"Ministry of Education, India; National Natural Science Foundation of China","keywords":"Urban agglomeration; Carrying capacity; Weighting; Warning system; Kernel (algebra); Markov chain; Kernel density estimation","authors":[{"name":"Weijun He","is_ca":false},{"name":"Liang Zhao","is_ca":false},{"name":"Yang Kong","is_ca":false},{"name":"Qingling Peng","is_ca":false},{"name":"Liang Yuan","is_ca":false},{"name":"Thomas Stephen Ramsey","is_ca":false},{"name":"Dagmawi Mulugeta Degefu","is_ca":true},{"name":"Xiaohua Wu","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0077281573407853,"gpt":0.2016941926358533,"spread":0.193966035295068,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001507526,0.0006938124,0.0007462935,0.001482022,0.0004028605,0.001049529,0.0009986588,0.0006529547,0.001478315],"category_scores_gemma":[0.004291999,0.000437706,0.0009922746,0.0009027399,0.0004519922,0.00129716,0.0007955782,0.001041875,0.0001853268],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001123651,"about_ca_system_score_gemma":0.00142078,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05427711,"about_ca_topic_score_gemma":0.02153683,"domain_scores_codex":[0.9994199,0.0001556341,0.0000461784,0.0001718772,0.00009328187,0.0001130693],"domain_scores_gemma":[0.9978502,0.001341247,0.000266641,0.0000669546,0.0003933836,0.00008160977],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00007974111,0.00007982885,0.03664348,0.00008706649,0.00008144161,0.0001699307,0.0001683597,0.9269366,0.0008479,0.006579401,0.0008895463,0.02743654],"study_design_scores_gemma":[0.000001715372,0.000005998769,0.001091629,0.000002881592,0.000005438142,0.000005468243,0.00001164387,0.9982755,0.00006762087,0.0004853962,0.00004146543,0.00000523474],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4069719,0.0003339878,0.5892173,0.0003949757,0.0000485567,0.0001112278,0.0004444666,0.0003298685,0.002147677],"genre_scores_gemma":[0.9782602,0.0002363727,0.01967373,0.00002129802,0.00001910927,0.00007994856,0.0004556618,0.00001335241,0.001240212],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05427711,"threshold_uncertainty_score":0.1079224,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"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,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"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","authors":[{"name":"Li Zhang","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.07393157617411704,"gpt":0.3111166730863771,"spread":0.23718509691226,"validation_status":"score_only:v0-immature-baseline"},"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"},"labels":[],"label_agreement":null},{"id":"W2060344856","doi":"10.5539/jas.v4n5p69","title":"Analysis on Cross-Regional Land Ecological Compensation","year":2012,"lang":"en","type":"article","venue":"Journal of Agricultural Science","topic":"Water Resources and Sustainability","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Ecological footprint; China; Geography; Ecosystem services; Ecology; Environmental resource management; Unit (ring theory); Compensation (psychology); Land use; Ecosystem; Environmental science; Sustainable development","authors":[{"name":"Lijuan Zhou","is_ca":false},{"name":"Ruiping Ran","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01433385159050605,"gpt":0.2565706529872153,"spread":0.2422368013967092,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002105425,0.0003819606,0.0003754497,0.00266392,0.0005527344,0.001000566,0.0006634792,0.000456008,0.003632492],"category_scores_gemma":[0.004803792,0.000166959,0.0007390509,0.002313647,0.0005525529,0.002333623,0.001052962,0.0004760419,0.0001158766],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001882797,"about_ca_system_score_gemma":0.001014605,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009756712,"about_ca_topic_score_gemma":0.007283463,"domain_scores_codex":[0.9985379,0.0003521785,0.00008578275,0.000236322,0.0004755332,0.0003121998],"domain_scores_gemma":[0.9980795,0.0006637381,0.0002799741,0.0001427197,0.0007251449,0.0001088469],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002046227,0.000167718,0.3960771,0.0003457432,0.0003851814,0.001014567,0.00143762,0.257967,0.005780002,0.1550216,0.002972316,0.1786264],"study_design_scores_gemma":[0.000008135363,0.00007631283,0.161807,0.00005805601,0.0001289491,0.0004925409,0.001677311,0.8025029,0.002407981,0.02638582,0.004405124,0.00004974629],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8553529,0.0006637368,0.1319036,0.0004644931,0.00003595207,0.00008142552,0.0003051536,0.00007185461,0.01112088],"genre_scores_gemma":[0.9947658,0.0001000864,0.003855676,0.00001542451,0.000009678721,0.00001574053,0.0001752409,0.000006750807,0.00105553],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009756712,"threshold_uncertainty_score":0.01939982,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4391715232","doi":"10.1007/978-3-031-17299-1_3703","title":"Water Poverty Index","year":2023,"lang":"en","type":"book-chapter","venue":"","topic":"Water Resources and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Brock University","funders":"","keywords":"Index (typography); Poverty; Environmental science; Geography; Economics; Computer science; Economic growth; World Wide Web","authors":[{"name":"Danny I. Cho","is_ca":true},{"name":"Tomson Ogwang","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01134506724764118,"gpt":0.1939226144921668,"spread":0.1825775472445257,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004116991,0.0007797122,0.0004779135,0.004192711,0.0006678686,0.001806182,0.0005017565,0.0004116824,0.1080913],"category_scores_gemma":[0.001196573,0.0002133393,0.0002195766,0.005404833,0.0002358912,0.001747519,0.001115575,0.0009903064,0.07124578],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001381934,"about_ca_system_score_gemma":0.001872843,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02032573,"about_ca_topic_score_gemma":0.02721779,"domain_scores_codex":[0.9994676,0.00003726909,0.00001987658,0.00004886928,0.0003763805,0.0000500699],"domain_scores_gemma":[0.9996585,0.00002929621,0.00002167532,0.00002038736,0.0002349465,0.00003518403],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001038792,0.00001519116,0.0003471073,0.00005076961,0.000002610206,0.000008606146,0.00002979754,0.0001116444,0.00007990997,0.008276438,0.8833554,0.1077121],"study_design_scores_gemma":[0.000001562961,0.000003982746,0.001238799,0.00004208622,0.000001343647,0.00001689927,0.00004097426,0.00008945147,0.00007922982,0.002892709,0.9955899,0.000003144968],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001161935,0.003515456,0.002075156,0.00198084,0.000858388,0.0001111181,0.03456369,0.0005796446,0.9551536],"genre_scores_gemma":[0.006838176,0.005437769,0.002333187,0.0006204775,0.0002622651,0.0002116984,0.03655801,0.0004334538,0.947305],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1080913,"threshold_uncertainty_score":0.3616014,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2354235523","doi":"","title":"Study on Sustainable Carrying Capacity of Water Resources in Shaanxi Province","year":2011,"lang":"en","type":"article","venue":"Ground Water","topic":"Water Resources and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Science North","funders":"","keywords":"Carrying capacity; Water resources; Sustainable development; Resource (disambiguation); Water resource management; Business; Index (typography); Population; Scale (ratio); Environmental science; Environmental resource management; Natural resource economics; Geography; Computer science; Economics; Ecology","authors":[{"name":"Yang Hai-juan","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02596356294697895,"gpt":0.2107403194975276,"spread":0.1847767565505487,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003979141,0.0001347222,0.0001313262,0.001905933,0.0005490698,0.0005551957,0.0002431165,0.000123651,0.001298257],"category_scores_gemma":[0.0005999094,0.0001060047,0.0001879393,0.002067212,0.0002401508,0.0004577935,0.0002640064,0.0001200071,0.00006251436],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001720486,"about_ca_system_score_gemma":0.00198465,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1126932,"about_ca_topic_score_gemma":0.1208165,"domain_scores_codex":[0.9998342,0.0000225163,0.000009340828,0.00001271651,0.00006262866,0.00005863198],"domain_scores_gemma":[0.9997454,0.00007353655,0.00002549529,0.000009793239,0.0001005303,0.00004508913],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001281511,0.0001614012,0.8700634,0.0002093544,0.0001487384,0.002211427,0.007315842,0.04702593,0.00465768,0.022811,0.002274761,0.0429922],"study_design_scores_gemma":[0.000007854159,0.00008854099,0.9424845,0.00004638661,0.0000379987,0.0002367228,0.01010337,0.03752829,0.0008565453,0.003243982,0.005335539,0.00003033405],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9958469,0.00007389474,0.0001703733,0.00005398496,0.000001466136,0.000005266431,0.0001066642,0.000002710412,0.003738764],"genre_scores_gemma":[0.9991818,0.00008220251,0.00007802069,0.000003008888,0.000001659591,0.000004316841,0.0001002431,7.793896e-7,0.0005479109],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1126932,"threshold_uncertainty_score":0.2240745,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2390515989","doi":"","title":"A water supply function in form of Weibull distribution","year":2003,"lang":"en","type":"article","venue":"Xibei zhiwu xuebao","topic":"Water Resources and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Science North","funders":"","keywords":"Weibull distribution; Kurtosis; Water supply; Range (aeronautics); Function (biology); Skew; Mathematics; Shape parameter; Statistics; Environmental science; Computer science; Environmental engineering; Engineering","authors":[{"name":"Zhang She-qi","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.004113042377529453,"gpt":0.1820097172033475,"spread":0.177896674825818,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009971685,0.0008674358,0.0005324772,0.001365304,0.0005260334,0.001208913,0.001011662,0.001201425,0.005239945],"category_scores_gemma":[0.002958007,0.0002819561,0.0008047792,0.002030585,0.0006742734,0.00200985,0.0005827942,0.001067845,0.002428653],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000884206,"about_ca_system_score_gemma":0.000533299,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002660347,"about_ca_topic_score_gemma":0.001539865,"domain_scores_codex":[0.9992943,0.0001356267,0.00004394984,0.0001805255,0.0002569861,0.00008857579],"domain_scores_gemma":[0.9990589,0.0003507268,0.0001547542,0.00008841316,0.0003193352,0.00002792453],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001858277,0.00006795417,0.01070359,0.0004704254,0.0001296569,0.001162306,0.0005843277,0.6104895,0.01839267,0.167403,0.01202488,0.1783859],"study_design_scores_gemma":[0.0000214177,0.0001568896,0.005858534,0.00007673392,0.00007049207,0.001554846,0.0001851277,0.876004,0.003838352,0.07881454,0.03329929,0.0001198347],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02151866,0.000976529,0.9632391,0.0005008824,0.0001669883,0.00008375368,0.0006778173,0.0007968992,0.01203928],"genre_scores_gemma":[0.8086158,0.004449293,0.13452,0.000507416,0.0004447403,0.0005733859,0.002092025,0.0003410743,0.04845618],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005239945,"threshold_uncertainty_score":0.01752931,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W6901725920","doi":"10.60692/gm1z5-s7h90","title":"Future variations of water stress over China will have impacts on the north-to-south shifts in agriculture and manufacturing sectors","year":2023,"lang":"en","type":"article","venue":"Greater South Information System","topic":"Water Resources and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Regina","funders":"","keywords":"Agriculture; Groundwater; Population; China; Index (typography); Water resources; Water use; Farm water","authors":[],"retraction":null,"screen_n_in":null,"score":{"opus":0.008105729798507058,"gpt":0.1760277185533528,"spread":0.1679219887548458,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000352531,0.000223453,0.0001323968,0.0006588635,0.000304368,0.0004932092,0.0001433334,0.0001905895,0.0007756146],"category_scores_gemma":[0.0004964035,0.00007520007,0.0003355163,0.0007934243,0.0001825298,0.0003936547,0.0002797196,0.0001368604,0.0000598458],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000754981,"about_ca_system_score_gemma":0.000674141,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02379916,"about_ca_topic_score_gemma":0.04112203,"domain_scores_codex":[0.999869,0.00002333019,0.00001153941,0.00002606051,0.00003806332,0.00003202112],"domain_scores_gemma":[0.9998084,0.00003117145,0.00005483818,0.00001420966,0.00006962036,0.00002185514],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001050382,0.00005672885,0.8569863,0.00005980138,0.0001224695,0.0003944178,0.0002739308,0.08379401,0.006529015,0.001960058,0.0008293392,0.04888893],"study_design_scores_gemma":[0.000006442161,0.0000622139,0.8030084,0.00001329058,0.00004770752,0.00007935598,0.0009426686,0.1910635,0.001714531,0.001908549,0.001131312,0.0000220878],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.995262,0.00006535127,0.002956492,0.0001465617,0.000007772443,0.000008400209,0.0002382746,0.00001804397,0.001297023],"genre_scores_gemma":[0.9993192,0.00003682426,0.00038888,0.000008218469,0.000002499161,0.000002920846,0.00008597777,0.000001004115,0.0001545625],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02379916,"threshold_uncertainty_score":0.04732126,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2371553432","doi":"","title":"Headwaters Quality Protection in the Middle Routh of South-to-North Water Transfers","year":2004,"lang":"en","type":"article","venue":"South-to-North Water Tromsfersomd and Water Science & Technology","topic":"Water Resources and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Headwaters Health Care Centre","funders":"","keywords":"Water transfer; Beijing; Water quality; Task (project management); Water resource management; Quality (philosophy); Phase (matter); Water source; Environmental protection; Environmental science; Environmental planning; Environmental resource management; Business; Hydrology (agriculture); Geography; Engineering; Archaeology; China; Geotechnical engineering; Ecology; Philosophy","authors":[{"name":"Jianquan Zhang","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0187281712344612,"gpt":0.2178210825826598,"spread":0.1990929113481986,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001067325,0.000134767,0.00008916234,0.000348164,0.002026404,0.002081509,0.0005274153,0.0008764951,0.004599772],"category_scores_gemma":[0.001048233,0.0001386848,0.0001469757,0.0004576609,0.001282755,0.001012356,0.001204056,0.0007736631,0.0002787736],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00368721,"about_ca_system_score_gemma":0.007259344,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07237898,"about_ca_topic_score_gemma":0.18917,"domain_scores_codex":[0.9993806,0.0001609717,0.00003316466,0.00006136575,0.000190242,0.0001736465],"domain_scores_gemma":[0.9995657,0.00006526802,0.0001069355,0.00004315809,0.0001289931,0.00009001088],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003514904,0.000232693,0.0479057,0.0006806129,0.00004289406,0.00500137,0.03391121,0.002970428,0.02496269,0.35622,0.1156409,0.41208],"study_design_scores_gemma":[0.00003306083,0.0001834106,0.08786768,0.0003159867,0.0000250674,0.0003935519,0.01169662,0.0007645333,0.008767893,0.01693621,0.8729797,0.00003619102],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4651951,0.01228934,0.009416549,0.05584097,0.001348069,0.0004076244,0.0003740456,0.0003278748,0.4548004],"genre_scores_gemma":[0.8543167,0.003153556,0.004157732,0.004245086,0.0001799281,0.00005738613,0.0001427404,0.00005528932,0.1336916],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07237898,"threshold_uncertainty_score":0.1439154,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}