{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":81,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":81,"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":"2fd6dcf42213","filters":{"venue":"Journal of Water Resources Planning and Management"}},"results":[{"id":"W2156593712","doi":"10.1061/(asce)0733-9496(2008)134:6(556)","title":"The Battle of the Water Sensor Networks (BWSN): A Design Challenge for Engineers and Algorithms","year":2008,"lang":"en","type":"article","venue":"Journal of Water Resources Planning and Management","topic":"Water Systems and Optimization","field":"Engineering","cited_by":584,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Guelph","funders":"","keywords":"Battle; Intrusion; Wireless sensor network; Water supply; Computer science; Component (thermodynamics); Engineering; Operations research; Risk analysis (engineering); Environmental engineering; Business","authors":[{"name":"Avi Ostfeld","is_ca":false},{"name":"James G. Uber","is_ca":false},{"name":"Elad Salomons","is_ca":false},{"name":"Jonathan W. Berry","is_ca":false},{"name":"William E. Hart","is_ca":false},{"name":"Cindy A. Phillips","is_ca":false},{"name":"Jean‐Paul Watson","is_ca":false},{"name":"Gianluca Dorini","is_ca":false},{"name":"Philip Jonkergouw","is_ca":false},{"name":"Zoran Kapelan","is_ca":false},{"name":"Francesco Di Pierro","is_ca":false},{"name":"Soon‐Thiam Khu","is_ca":false},{"name":"Dragan Savić","is_ca":false},{"name":"Δημήτριος Γ. Ηλιάδης","is_ca":false},{"name":"Marios M. Polycarpou","is_ca":false},{"name":"Santosh R. Ghimire","is_ca":false},{"name":"Brian D. Barkdoll","is_ca":false},{"name":"Roberto Gueli","is_ca":false},{"name":"Jinhui Jeanne Huang‬‬‬‬","is_ca":true},{"name":"Edward A. McBean","is_ca":true},{"name":"William James","is_ca":true},{"name":"Andreas Krause","is_ca":false},{"name":"Jure Leskovec","is_ca":false},{"name":"Shannon L. Isovitsch","is_ca":false},{"name":"Jianhua Xu","is_ca":false},{"name":"Carlos Guestrin","is_ca":false},{"name":"Jeanne M. VanBriesen","is_ca":false},{"name":"Mitchell J. Small","is_ca":false},{"name":"Paul S. Fischbeck","is_ca":false},{"name":"Ami Preis","is_ca":false},{"name":"Marco Propato","is_ca":false},{"name":"Olivier Piller","is_ca":false},{"name":"Gary B. Trachtman","is_ca":false},{"name":"Zheng Yi Wu","is_ca":false},{"name":"Tom Walski","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01654972021817333,"gpt":0.1873524518281424,"spread":0.1708027316099691,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005627431,0.0006711573,0.0008726826,0.0004506641,0.0006476553,0.001589618,0.001106276,0.001734889,0.001091973],"category_scores_gemma":[0.01051318,0.0004833876,0.0004123716,0.0008275077,0.002508922,0.004072402,0.001506111,0.002259456,0.0003569092],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001007847,"about_ca_system_score_gemma":0.001601981,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001794093,"about_ca_topic_score_gemma":0.001884338,"domain_scores_codex":[0.9973035,0.001698334,0.0001007401,0.0002091806,0.0005738999,0.0001144098],"domain_scores_gemma":[0.9951265,0.003447698,0.0002222341,0.0003413937,0.0007311061,0.0001311351],"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":[0.0001364055,0.00007272993,0.001173643,0.000588426,0.00007868571,0.00008781602,0.0003855619,0.3478855,0.002721447,0.2914472,0.01108637,0.3443362],"study_design_scores_gemma":[0.00005040975,0.0002419936,0.0002722933,0.0001520167,0.00002955404,0.0001235983,0.0003652118,0.6028163,0.001586048,0.331129,0.06320218,0.00003145015],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00986807,0.005200427,0.960067,0.01682908,0.0003642917,0.00007153087,0.00003676486,0.0001424092,0.007420484],"genre_scores_gemma":[0.347385,0.01719304,0.6234151,0.002493611,0.001106906,0.0003848195,0.000129426,0.0001747965,0.007717271],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005627431,"threshold_uncertainty_score":0.02976102,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2133256626","doi":"10.1061/(asce)0733-9496(2002)128:6(441)","title":"Energy and Costs of Leaky Pipes: Toward Comprehensive Picture","year":2002,"lang":"en","type":"article","venue":"Journal of Water Resources Planning and Management","topic":"Water Systems and Optimization","field":"Engineering","cited_by":249,"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":"Energy (signal processing); Dimensionless quantity; Leak; Environmental science; Residence time (fluid dynamics); Pipe network analysis; Computer science; Environmental engineering; Simulation; Petroleum engineering; Mechanics; Engineering; Mathematics; Statistics; Geotechnical engineering; Physics","authors":[{"name":"Andrew F. Colombo","is_ca":true},{"name":"Bryan Karney","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0141417812223254,"gpt":0.1888532464398484,"spread":0.174711465217523,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004140837,0.0008823301,0.0008600816,0.001573938,0.0003347637,0.002017346,0.000857102,0.001097268,0.003620639],"category_scores_gemma":[0.002376736,0.0005946513,0.0007639294,0.002409092,0.0005733568,0.00672778,0.0007072577,0.001448989,0.0003402768],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001245428,"about_ca_system_score_gemma":0.0008176441,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005241001,"about_ca_topic_score_gemma":0.006324332,"domain_scores_codex":[0.9997559,0.00005790995,0.00001744218,0.0000368335,0.0001018829,0.00003003357],"domain_scores_gemma":[0.9992656,0.0003754781,0.0001218169,0.00006775194,0.0001364477,0.00003291603],"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":[0.00003878158,0.00006037552,0.00358632,0.0001281577,0.0000416534,0.00009245461,0.00003791276,0.9193307,0.001290963,0.0571811,0.001314592,0.01689692],"study_design_scores_gemma":[0.00001840875,0.00009824645,0.01354487,0.000107435,0.00005930364,0.0001888089,0.0002436709,0.8378164,0.00207898,0.1343846,0.01140265,0.00005653032],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.600351,0.01228229,0.3247674,0.003599799,0.0001108604,0.0001427264,0.006330407,0.0002849511,0.05213057],"genre_scores_gemma":[0.9478302,0.01234333,0.03090721,0.0001792374,0.0001018864,0.0001396218,0.001204699,0.0001296598,0.007164196],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005241001,"threshold_uncertainty_score":0.01211232,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1997127262","doi":"10.1061/(asce)wr.1943-5452.0000023","title":"Design Criteria of Urban Drainage Infrastructures under Climate Change","year":2009,"lang":"en","type":"article","venue":"Journal of Water Resources Planning and Management","topic":"Hydrology and Drought Analysis","field":"Environmental Science","cited_by":247,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"Climate change; Context (archaeology); Drainage; Flooding (psychology); Environmental science; Greenhouse gas; Computer science; Extreme weather; Adaptation (eye); Environmental resource management; Risk analysis (engineering); Business; Geography; Geology","authors":[{"name":"Alain Mailhot","is_ca":true},{"name":"Sophie Duchesne","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01796378792433712,"gpt":0.249166499961205,"spread":0.2312027120368678,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003290514,0.0006651132,0.0004816928,0.001297079,0.0005357665,0.002065241,0.0008265136,0.0009172636,0.001899342],"category_scores_gemma":[0.007627156,0.0003655525,0.0005036156,0.0005266911,0.000991162,0.0008592051,0.001236646,0.000448106,0.0003046313],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001959003,"about_ca_system_score_gemma":0.001327343,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002178166,"about_ca_topic_score_gemma":0.001333222,"domain_scores_codex":[0.9963803,0.001465219,0.000233611,0.0003521096,0.001107646,0.0004611386],"domain_scores_gemma":[0.9962378,0.001488984,0.0005422964,0.0001977366,0.001235294,0.0002979031],"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":[0.0001167813,0.00005003122,0.004233079,0.0002461988,0.00004345971,0.0003199881,0.0004003499,0.8691458,0.01434489,0.07688856,0.001201181,0.03300969],"study_design_scores_gemma":[0.00004368988,0.0003691102,0.004076876,0.00007822269,0.00006443855,0.0003108092,0.0004220041,0.9320305,0.007186094,0.04706686,0.008299395,0.00005196185],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1371734,0.0002862138,0.8403052,0.0004991877,0.00002612699,0.0004006681,0.0001860446,0.0002162556,0.02090696],"genre_scores_gemma":[0.9313929,0.0001708522,0.06491525,0.00003907059,0.00002459074,0.0004221198,0.0001207026,0.00006336324,0.002851212],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003290514,"threshold_uncertainty_score":0.01740211,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2091351952","doi":"10.1061/(asce)0733-9496(2003)129:5(361)","title":"Methodology for Assessment of Climate Change Impacts on Large-Scale Flood Protection System","year":2003,"lang":"en","type":"article","venue":"Journal of Water Resources Planning and Management","topic":"Flood Risk Assessment and Management","field":"Environmental Science","cited_by":103,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"Golder Associates (Canada); Western University","funders":"","keywords":"Flood myth; Climate change; Environmental science; Flood control; Flood risk assessment; Precipitation; Flood forecasting; Scale (ratio); Streamflow; Environmental resource management; Drainage basin; Hydrology (agriculture); Meteorology; Engineering; Geography; Geology","authors":[{"name":"Slobodan P. Simonović","is_ca":true},{"name":"Lanhai Li","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.05719989863382131,"gpt":0.3138584566544393,"spread":0.256658558020618,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002731353,0.001073892,0.0007333045,0.002294268,0.0006103296,0.001282723,0.001666313,0.0007406299,0.005328997],"category_scores_gemma":[0.003405071,0.0004277083,0.001402752,0.001441785,0.0004727046,0.001192782,0.001288069,0.001031613,0.0007508072],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001162248,"about_ca_system_score_gemma":0.00224606,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005335927,"about_ca_topic_score_gemma":0.005814582,"domain_scores_codex":[0.9989368,0.0004506046,0.00007375116,0.00008588563,0.0003742904,0.00007869802],"domain_scores_gemma":[0.9989943,0.0004829754,0.0001159767,0.00007074342,0.000293031,0.0000429612],"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":[0.00004399901,0.0001108893,0.004686455,0.0005391082,0.0002416707,0.0005094113,0.0004153364,0.6397316,0.00527737,0.188428,0.003046928,0.1569693],"study_design_scores_gemma":[0.00003932825,0.000117878,0.001175459,0.00008746723,0.00004361285,0.0001798518,0.0001992341,0.8926447,0.001904999,0.08974886,0.01382231,0.00003625193],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002893194,0.0001419475,0.9941848,0.00005799271,0.00001356253,0.0002592787,0.0001985071,0.0002176979,0.002033012],"genre_scores_gemma":[0.1246338,0.0004923419,0.869221,0.00005671224,0.00003525338,0.002273937,0.0005216156,0.00009785353,0.002667585],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.005335927,"threshold_uncertainty_score":0.01782721,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2131633350","doi":"10.1061/(asce)0733-9496(2007)133:2(95)","title":"Water Quality Index: A Fuzzy River-Pollution Decision Support Expert System","year":2007,"lang":"en","type":"article","venue":"Journal of Water Resources Planning and Management","topic":"Multi-Criteria Decision Making","field":"Decision Sciences","cited_by":100,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"First Nations University of Canada; University of Regina","funders":"","keywords":"Decision support system; Water quality; Computer science; Quality (philosophy); Water resources; Index (typography); Fuzzy logic; Process (computing); Set (abstract data type); Fuzzy set; Plan (archaeology); Expert system; Operations research; Risk analysis (engineering); Management science; Data mining; Engineering; Artificial intelligence; Business","authors":[{"name":"Fuzhan Nasiri","is_ca":true},{"name":"Imran Maqsood","is_ca":true},{"name":"Guohe Huang","is_ca":true},{"name":"Norma Fuller","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.09964000818914102,"gpt":0.3992645464836652,"spread":0.2996245382945242,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001039139,0.0006495614,0.0008533188,0.001238774,0.0005006135,0.001349875,0.001146203,0.0008661704,0.006588371],"category_scores_gemma":[0.002723116,0.0001952436,0.0004418174,0.0008596437,0.0002400633,0.001002312,0.0007986173,0.0005384363,0.001620405],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008143818,"about_ca_system_score_gemma":0.0008813668,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00503211,"about_ca_topic_score_gemma":0.004200905,"domain_scores_codex":[0.9993999,0.0001359537,0.00008939393,0.000125305,0.0002110753,0.00003835219],"domain_scores_gemma":[0.9994822,0.0001800338,0.00004624986,0.00003689147,0.0002122034,0.00004241253],"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":[0.00131667,0.0007934002,0.007469831,0.0008286478,0.0002462621,0.0007768621,0.0004995408,0.250811,0.027778,0.007707963,0.01950444,0.6822674],"study_design_scores_gemma":[0.00009626072,0.0001378232,0.001205275,0.00002787188,0.00004297067,0.0001087705,0.0000428605,0.9856558,0.005450242,0.002699479,0.004499021,0.000033522],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04915991,0.0002300643,0.9257697,0.0003710624,0.00008165276,0.0007430678,0.002164855,0.0127812,0.008698463],"genre_scores_gemma":[0.4812858,0.0002691042,0.5091473,0.0002564344,0.00005514874,0.0008789976,0.002794639,0.0001063302,0.005206199],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006588371,"threshold_uncertainty_score":0.02204031,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2101715674","doi":"10.1061/(asce)wr.1943-5452.0000041","title":"Impacts and Uncertainty of Climate Change on Water Resource Management of the Peribonka River System (Canada)","year":2009,"lang":"en","type":"article","venue":"Journal of Water Resources Planning and Management","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":90,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"École de Technologie Supérieure; Université du Québec à Montréal","funders":"","keywords":"Environmental science; Climate change; Hydropower; Flood myth; Inflow; Greenhouse gas; Hydroelectricity; Streamflow; Context (archaeology); Hydrology (agriculture); Water resources; Flood control; Climatology; Water resource management; Drainage basin; Meteorology; Geography","authors":[{"name":"Marie Minville","is_ca":true},{"name":"François Brissette","is_ca":true},{"name":"Robert Leconte","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01010480293665815,"gpt":0.2047864694646098,"spread":0.1946816665279517,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008765181,0.0002999579,0.0002316754,0.0003764392,0.0007045147,0.001106575,0.0005538999,0.0003591056,0.0006728345],"category_scores_gemma":[0.002357362,0.0001765365,0.0005062184,0.0008460508,0.0005943069,0.0003984347,0.0004382676,0.0004973206,0.00004176452],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01701533,"about_ca_system_score_gemma":0.009797896,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.935555,"about_ca_topic_score_gemma":0.9355763,"domain_scores_codex":[0.9995944,0.0001035592,0.00001465208,0.00007365051,0.0001025655,0.0001111684],"domain_scores_gemma":[0.9990532,0.0004352917,0.0000893135,0.00004448152,0.0002952653,0.0000824392],"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":[0.0002509482,0.0000442239,0.1197105,0.00004402436,0.0001078743,0.0002584809,0.0001391435,0.8689742,0.001265773,0.00147181,0.0006948601,0.007038139],"study_design_scores_gemma":[0.00005563518,0.0001227224,0.2513868,0.00002888176,0.00009616326,0.00007461086,0.0006980009,0.7423556,0.001704951,0.001294827,0.002102221,0.00007961441],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969469,0.00007139985,0.0006379147,0.0001764083,0.000004649624,0.00001142915,0.0007737817,0.00002302946,0.001354561],"genre_scores_gemma":[0.9989976,0.00005434807,0.0003099439,0.00001181184,9.678432e-7,0.000004379529,0.0003117727,0.000002989751,0.0003062175],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06444502,"threshold_uncertainty_score":0.129649,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2893600956","doi":"10.1061/(asce)wr.1943-5452.0000997","title":"Urban Water Security Dashboard: Systems Approach to Characterizing the Water Security of Cities","year":2018,"lang":"en","type":"article","venue":"Journal of Water Resources Planning and Management","topic":"Water resources management and optimization","field":"Engineering","cited_by":73,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"Institute of Water Policy, National University of Singapore; National University of Singapore","keywords":"Water security; Urbanization; Business; Dashboard; Flood myth; Context (archaeology); Sustainability; Environmental planning; Population; Water supply; Environmental resource management; Geography; Water resources; Water resource management; Environmental science; Economic growth; Environmental engineering; Computer science; Economics","authors":[{"name":"Kees van Ginkel","is_ca":false},{"name":"Arjen Y. Hoekstra","is_ca":false},{"name":"Joost Buurman","is_ca":false},{"name":"Rick J. Hogeboom","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.009917501359401861,"gpt":0.1924380138185496,"spread":0.1825205124591477,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006157227,0.001681277,0.001019522,0.006457689,0.001281016,0.006223035,0.001609877,0.0008185675,0.004233322],"category_scores_gemma":[0.01533393,0.0005684897,0.001096781,0.00749885,0.0008050508,0.00529951,0.003855537,0.001740202,0.0007774956],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001966072,"about_ca_system_score_gemma":0.002201714,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01420064,"about_ca_topic_score_gemma":0.01679527,"domain_scores_codex":[0.9953817,0.001982378,0.0006973396,0.0007681226,0.0008872736,0.000283093],"domain_scores_gemma":[0.9874429,0.005333233,0.001705294,0.001391368,0.003097192,0.001029934],"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":[0.001025879,0.002643606,0.2610933,0.002725894,0.001520772,0.00076736,0.01756004,0.14034,0.01334152,0.04441432,0.06049765,0.4540697],"study_design_scores_gemma":[0.000161166,0.00145439,0.1513951,0.001086276,0.0005592243,0.0002515089,0.02883923,0.6037872,0.01503247,0.05111268,0.1457819,0.0005388681],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4299233,0.0007291306,0.4344409,0.00589026,0.0006514578,0.004315565,0.04325906,0.03667381,0.04411649],"genre_scores_gemma":[0.6783547,0.0003951916,0.2948555,0.0003735247,0.00006140386,0.002064387,0.0196935,0.0004256846,0.003776055],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01420064,"threshold_uncertainty_score":0.03256297,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2165797930","doi":"10.1061/(asce)0733-9496(2000)126:2(98)","title":"Short-Term Operation Model for Coupled Hydropower Reservoirs","year":2000,"lang":"en","type":"article","venue":"Journal of Water Resources Planning and Management","topic":"Water resources management and optimization","field":"Engineering","cited_by":71,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"University of Manitoba","funders":"","keywords":"Tailwater; Hydropower; Nonlinear system; Elevation (ballistics); Term (time); Mathematical optimization; Sensitivity (control systems); Coupling (piping); Integer programming; Nonlinear programming; Computer science; Engineering; Mathematics; Geotechnical engineering","authors":[{"name":"Ramesh S. V. Teegavarapu","is_ca":true},{"name":"Slobodan P. Simonović","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01509409014502978,"gpt":0.2273073762172329,"spread":0.2122132860722032,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007054745,0.0007993837,0.0008943225,0.000573204,0.0008093,0.001309235,0.00238676,0.001552548,0.005155393],"category_scores_gemma":[0.001040313,0.000754162,0.0007825076,0.0007594306,0.000720872,0.001191881,0.000867249,0.00150076,0.0007531921],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002134756,"about_ca_system_score_gemma":0.003058695,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04165631,"about_ca_topic_score_gemma":0.0257974,"domain_scores_codex":[0.9995882,0.00009151694,0.00002052901,0.0001033515,0.0001237051,0.00007273773],"domain_scores_gemma":[0.9995134,0.0001560351,0.00009929671,0.0000218657,0.0001548038,0.00005469734],"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":[0.00001023922,0.000008166151,0.0001282342,0.0000118372,0.000005622242,0.00003597097,0.0000107948,0.9966825,0.0003360638,0.001708138,0.0001280256,0.0009343692],"study_design_scores_gemma":[0.000004662773,0.0000120985,0.00009303711,0.000001587329,0.000004063829,0.000006829325,0.000005377685,0.9991426,0.00006851809,0.0004022927,0.0002556546,0.000003332286],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1275741,0.0004044444,0.8381662,0.000643969,0.0001088865,0.0002969664,0.001836009,0.0007828232,0.03018661],"genre_scores_gemma":[0.9502783,0.0003574375,0.02581498,0.00006816481,0.00003406185,0.000643791,0.0008223952,0.0001222849,0.02185852],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04165631,"threshold_uncertainty_score":0.08282769,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2120355464","doi":"10.1061/(asce)0733-9496(2005)131:2(146)","title":"Impacts of Leaks on Energy Consumption in Pumped Systems with Storage","year":2005,"lang":"en","type":"article","venue":"Journal of Water Resources Planning and Management","topic":"Water Systems and Optimization","field":"Engineering","cited_by":68,"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":"Leakage (economics); Energy consumption; Energy storage; Storage tank; Energy conservation; Reliability engineering; Environmental science; Energy (signal processing); Engineering; Power (physics); Automotive engineering; Process engineering; Waste management; Electrical engineering; Economics; Mathematics; Statistics","authors":[{"name":"Andrew F. Colombo","is_ca":true},{"name":"Bryan Karney","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.00914487621720015,"gpt":0.1946050429497298,"spread":0.1854601667325296,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007080515,0.0004813901,0.0006722013,0.0006120049,0.0005673327,0.001091069,0.0004971261,0.0005544397,0.002631999],"category_scores_gemma":[0.003766975,0.0004010889,0.0004874827,0.0010755,0.0008921985,0.002551876,0.000999716,0.000451219,0.0001392494],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001301947,"about_ca_system_score_gemma":0.0005842216,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004203202,"about_ca_topic_score_gemma":0.003689199,"domain_scores_codex":[0.9994926,0.0001683906,0.00004109646,0.0000507978,0.0001263809,0.0001206027],"domain_scores_gemma":[0.9979264,0.001424758,0.0002130727,0.0001253991,0.0002504326,0.00005996508],"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":[0.000757023,0.00009570744,0.01511643,0.0001592453,0.00006465497,0.0005557498,0.00009117847,0.9611871,0.008646637,0.003149911,0.0002020384,0.009974456],"study_design_scores_gemma":[0.0001080871,0.001021266,0.02433943,0.00003752401,0.0001580551,0.0003184758,0.0005621449,0.9423791,0.02314836,0.006791226,0.001064391,0.0000719627],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9897613,0.0001325522,0.007653608,0.0001011531,0.000006266176,0.00002941047,0.0001804265,0.00007486622,0.002060486],"genre_scores_gemma":[0.9990041,0.00006188114,0.0005220965,0.000006008439,8.795695e-7,0.00001009581,0.00004805787,0.000008279754,0.0003387285],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004203202,"threshold_uncertainty_score":0.009446323,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2066701718","doi":"10.1061/(asce)0733-9496(2002)128:5(370)","title":"Contribution of Neural Networks for Modeling Trihalomethanes Occurrence in Drinking Water","year":2002,"lang":"en","type":"article","venue":"Journal of Water Resources Planning and Management","topic":"Water Systems and Optimization","field":"Engineering","cited_by":64,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada; Health Canada","keywords":"Artificial neural network; Water quality; Environmental science; Logistic regression; Water treatment; Trihalomethane; Water resources; Environmental engineering; Computer science; Machine learning","authors":[{"name":"Julie Milot","is_ca":true},{"name":"Manuel J. Rodríguez","is_ca":true},{"name":"Jean Sérodes","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01914931074221407,"gpt":0.2140948746804636,"spread":0.1949455639382495,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007927687,0.0009011762,0.0004806608,0.0004722713,0.0002499228,0.0007897486,0.0004051114,0.0009145566,0.0006905079],"category_scores_gemma":[0.003741995,0.0003236644,0.0004339965,0.0003631093,0.0002212609,0.0009645908,0.0003037798,0.0005832766,0.0001591627],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005283555,"about_ca_system_score_gemma":0.0004469908,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01306778,"about_ca_topic_score_gemma":0.006390146,"domain_scores_codex":[0.9997423,0.0001266086,0.00001878204,0.00004063921,0.00004807513,0.0000235816],"domain_scores_gemma":[0.9988098,0.0008366121,0.0000954022,0.00004028603,0.0001947395,0.00002317462],"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":[0.00003598044,0.00002338966,0.001029618,0.00001305767,0.00002684639,0.00001522928,0.000005189675,0.9868994,0.0003427234,0.0002614363,0.0000645422,0.01128267],"study_design_scores_gemma":[0.000001188916,0.000007988844,0.0001475468,0.000001680611,0.000005139513,0.000002710137,0.000001319623,0.9993827,0.0001534723,0.000249246,0.00004479697,0.000002179233],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4750222,0.002823952,0.5107145,0.0008695532,0.0002152734,0.00006615448,0.0002281384,0.0005140144,0.009546112],"genre_scores_gemma":[0.9799861,0.0006096055,0.01745449,0.00004253884,0.00004760545,0.00004408599,0.00007940392,0.00001705784,0.001719198],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01306778,"threshold_uncertainty_score":0.02598345,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2008179284","doi":"10.1061/(asce)0733-9496(2007)133:6(550)","title":"Water Use Model for Quantifying Environmental and Economic Sustainability Indicators","year":2007,"lang":"en","type":"article","venue":"Journal of Water Resources Planning and Management","topic":"Urban Stormwater Management Solutions","field":"Environmental Science","cited_by":59,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true},"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Sustainability; Environmental science; Greenhouse gas; Water cycle; Downstream (manufacturing); Water use; Environmental engineering; Life-cycle assessment; Wastewater; Water conservation; Biosolids; Environmental economics; Water resource management; Environmental resource management; Environmental planning; Water resources; Production (economics); Engineering; Operations management","authors":[{"name":"Halla R. Sahely","is_ca":true},{"name":"Christopher Kennedy","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02365053222749489,"gpt":0.2477883269944747,"spread":0.2241377947669798,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005203868,0.0009878837,0.0007255835,0.001110899,0.000721274,0.00136233,0.001859813,0.001225897,0.01918404],"category_scores_gemma":[0.001258951,0.0005271145,0.00120523,0.003409403,0.000356613,0.001718946,0.0008497419,0.001076099,0.003558305],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003262699,"about_ca_system_score_gemma":0.002912147,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09621507,"about_ca_topic_score_gemma":0.09036995,"domain_scores_codex":[0.9996295,0.00009175249,0.00002333851,0.00006283214,0.0001398857,0.00005264316],"domain_scores_gemma":[0.9995984,0.000116694,0.0000346762,0.00005776366,0.0001695951,0.00002282181],"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":[0.00004713059,0.0000683946,0.0020317,0.0001044625,0.00005905054,0.00008238893,0.00006653499,0.9026213,0.001090577,0.05809354,0.01633612,0.01939879],"study_design_scores_gemma":[0.00003224358,0.00002807059,0.0009945545,0.00001803066,0.00002741267,0.00001748648,0.00005205922,0.9384174,0.0006247977,0.01637635,0.04338905,0.00002260382],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05732407,0.0007831522,0.6025498,0.001667295,0.000297316,0.001183799,0.1313554,0.003578028,0.2012611],"genre_scores_gemma":[0.6318753,0.001510899,0.1635809,0.000287325,0.00008698765,0.003562213,0.05694496,0.000769786,0.1413817],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.09621507,"threshold_uncertainty_score":0.19131,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2092699332","doi":"10.1061/(asce)wr.1943-5452.0000530","title":"The Challenge of Air Valves: A Selective Critical Literature Review","year":2015,"lang":"en","type":"article","venue":"Journal of Water Resources Planning and Management","topic":"Water Systems and Optimization","field":"Engineering","cited_by":57,"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":"Sizing; Pipeline transport; Current (fluid); Computer science; Air bearing; Mechanical engineering; Environmental science; Engineering; Marine engineering; Electrical engineering","authors":[{"name":"Leila Ramezani","is_ca":true},{"name":"Bryan Karney","is_ca":true},{"name":"Ahmad Malekpour","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01366560652047834,"gpt":0.2400336951463797,"spread":0.2263680886259014,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004824332,0.00120275,0.001933679,0.01252372,0.001097535,0.003737025,0.001871154,0.002934464,0.004690661],"category_scores_gemma":[0.01882756,0.0007883869,0.001480524,0.01135625,0.001919545,0.006650154,0.001676336,0.002699706,0.001450529],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002417851,"about_ca_system_score_gemma":0.008860138,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003447952,"about_ca_topic_score_gemma":0.004900806,"domain_scores_codex":[0.9977233,0.0006948845,0.000463358,0.0002973973,0.0006772567,0.0001438564],"domain_scores_gemma":[0.977433,0.01518621,0.001388662,0.0004348904,0.005196535,0.0003606474],"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":[0.0001140985,0.00008709497,0.0006341472,0.1082427,0.0002796456,0.0005734864,0.001029956,0.001298413,0.0006964767,0.03508757,0.09151606,0.7604402],"study_design_scores_gemma":[0.000009946333,0.0001029721,0.001083773,0.1173472,0.0004389752,0.0009587205,0.00150352,0.0003751293,0.000450161,0.01292725,0.8647383,0.00006402704],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0002489147,0.9929805,0.00065711,0.003657127,0.001129969,0.00001836496,0.00004596925,0.00001161522,0.001250454],"genre_scores_gemma":[0.002461163,0.9939218,0.0007180083,0.001352659,0.001109648,0.00003059111,0.00005155271,0.000007391549,0.0003472702],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.01252372,"threshold_uncertainty_score":0.02551377,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2019758683","doi":"10.1061/(asce)wr.1943-5452.0000101","title":"Evaluating the Environmental Impacts of Water Distribution Systems by Using EIO-LCA-Based Multiobjective Optimization","year":2010,"lang":"en","type":"article","venue":"Journal of Water Resources Planning and Management","topic":"Water Systems and Optimization","field":"Engineering","cited_by":53,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Guelph; Queen's University","funders":"","keywords":"Index (typography); Sorting; Multi-objective optimization; Life-cycle assessment; Environmental science; Genetic algorithm; Environmental engineering; Environmental economics; Economics; Mathematical optimization; Computer science; Production (economics); Mathematics; Microeconomics","authors":[{"name":"L. M. Herstein","is_ca":true},{"name":"Yves Filion","is_ca":true},{"name":"K. R. Hall","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01212720161950646,"gpt":0.234769179284878,"spread":0.2226419776653715,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001211218,0.0008776856,0.0005957215,0.00139847,0.0003379408,0.001006823,0.0003689336,0.0004487532,0.001006342],"category_scores_gemma":[0.002499473,0.0003537337,0.0005446029,0.001042363,0.0003420565,0.0006480943,0.000453141,0.0003679182,0.00009238799],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001882534,"about_ca_system_score_gemma":0.001312253,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01587255,"about_ca_topic_score_gemma":0.02104707,"domain_scores_codex":[0.9994411,0.0002691995,0.00002304849,0.0000476305,0.0001671753,0.00005189602],"domain_scores_gemma":[0.9993184,0.000429056,0.00008667112,0.00002519559,0.0001199247,0.00002075137],"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":[0.00001510565,0.00001959348,0.0007882963,0.00001379343,0.00002395059,0.00000930269,0.00000411472,0.9932861,0.0002524886,0.0003955403,0.00004065539,0.00515108],"study_design_scores_gemma":[0.000004387042,0.00002696613,0.0003815716,0.00000271158,0.000009714968,0.000002806103,0.000008712095,0.9985159,0.0004195379,0.000499667,0.0001252683,0.000002783082],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5857487,0.0003997486,0.3943378,0.0003205223,0.00003808853,0.0003618819,0.0004714396,0.0003479385,0.01797388],"genre_scores_gemma":[0.9221519,0.0001854007,0.07502784,0.000040269,0.000008248817,0.0001986833,0.0002650985,0.00003201285,0.002090659],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01587255,"threshold_uncertainty_score":0.03156036,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2115175365","doi":"10.1061/(asce)wr.1943-5452.0000109","title":"Transient Modeling of a Full-Scale Distribution System: Comparison with Field Data","year":2010,"lang":"en","type":"article","venue":"Journal of Water Resources Planning and Management","topic":"Water Systems and Optimization","field":"Engineering","cited_by":47,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Polytechnique Montréal; Université Laval; University of Toronto; Natural Sciences and Engineering Research Council of Canada","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Water Network; Polytechnique Montréal","keywords":"Transient (computer programming); Field (mathematics); Surge; Environmental science; Transient analysis; Scale (ratio); Mechanics; Transient response; Meteorology; Engineering; Computer science; Mathematics; Physics; Electrical engineering","authors":[{"name":"Gabrielle Ebacher","is_ca":true},{"name":"M.C. Besner","is_ca":true},{"name":"Jean Lavoie","is_ca":true},{"name":"Bernhard Jung","is_ca":true},{"name":"Bryan Karney","is_ca":true},{"name":"Michèle Prévost","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01405358035989211,"gpt":0.2119485084210997,"spread":0.1978949280612076,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006087825,0.0005209098,0.00061053,0.0005845134,0.0003080075,0.0005095328,0.0009709094,0.0007549835,0.001602275],"category_scores_gemma":[0.001808596,0.0002740517,0.0004002185,0.0006419579,0.0003279292,0.001130596,0.0002642862,0.0006051282,0.0002366007],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001018088,"about_ca_system_score_gemma":0.0006229416,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0169826,"about_ca_topic_score_gemma":0.008266468,"domain_scores_codex":[0.9997953,0.0000555349,0.00002311509,0.00005470729,0.00004725644,0.00002420155],"domain_scores_gemma":[0.9985874,0.0008471961,0.00009631476,0.0002101775,0.0002150866,0.00004385012],"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":[0.00009998948,0.0001310868,0.004767359,0.00006204878,0.00001553839,0.00006106723,0.00005498449,0.9838816,0.00255513,0.0002858948,0.0003574909,0.007727779],"study_design_scores_gemma":[0.00001451909,0.00005024128,0.001736772,0.000002752327,0.000003946134,0.00001197537,0.00001917761,0.996962,0.0009448326,0.0001183534,0.0001305599,0.00000481611],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9357697,0.00009730185,0.05706486,0.0001515011,0.00001574332,0.00008800488,0.001298183,0.002042132,0.00347259],"genre_scores_gemma":[0.9944202,0.00004818332,0.004774231,0.000008883911,0.000002975782,0.00005006958,0.0004176034,0.00003321602,0.0002444992],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0169826,"threshold_uncertainty_score":0.03376752,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2193868038","doi":"10.1061/(asce)wr.1943-5452.0000593","title":"Modeling Water Trading under Uncertainty for Supporting Water Resources Management in an Arid Region","year":2015,"lang":"en","type":"article","venue":"Journal of Water Resources Planning and Management","topic":"Water resources management and optimization","field":"Engineering","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 Science Fund for Distinguished Young Scholars","keywords":"Water resources; Water scarcity; Arid; Probabilistic logic; Context (archaeology); Resource allocation; Environmental economics; Computer science; Farm water; Interval (graph theory); Operations research; Environmental science; Mathematical optimization; Water resource management; Water conservation; Economics; Mathematics","authors":[{"name":"Xueting Zeng","is_ca":false},{"name":"Yongping Li","is_ca":false},{"name":"Guohe Huang","is_ca":true},{"name":"J. Liu","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04062863681695471,"gpt":0.2527912722195556,"spread":0.2121626354026009,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001389615,0.0007589419,0.0008078457,0.0006636787,0.0004608066,0.0012963,0.00110402,0.001218751,0.001662619],"category_scores_gemma":[0.002407262,0.0007673556,0.001081392,0.0008717771,0.0007033706,0.001162927,0.0009214854,0.000843448,0.00008408011],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001192432,"about_ca_system_score_gemma":0.001583202,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01709942,"about_ca_topic_score_gemma":0.01037587,"domain_scores_codex":[0.9994203,0.0002384962,0.00002556419,0.0001124744,0.0001035943,0.00009945747],"domain_scores_gemma":[0.998952,0.0007214147,0.0001456418,0.00002786956,0.0001043486,0.00004869222],"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":[0.000006471611,0.000004521671,0.0003463307,0.00001058286,0.000008323823,0.00003413383,0.00000926456,0.9968649,0.0001049962,0.001737191,0.00003581799,0.000837462],"study_design_scores_gemma":[0.000001525171,0.000004207792,0.00008589584,0.000001635044,0.000003548663,0.000004370399,0.000006439288,0.9986849,0.00003958029,0.001100752,0.00006497413,0.000002128316],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1827705,0.0005361481,0.807749,0.0004465774,0.00004279542,0.0001088496,0.0004971987,0.0001683768,0.007680576],"genre_scores_gemma":[0.965864,0.0003128814,0.0317053,0.00003555886,0.00002051072,0.0001374396,0.0001692614,0.00003224925,0.001722784],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01709942,"threshold_uncertainty_score":0.03399974,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2095484178","doi":"10.1061/(asce)0733-9496(2003)129:2(146)","title":"Seasonal Prediction with Error Estimation of Columbia River Streamflow in British Columbia","year":2003,"lang":"en","type":"article","venue":"Journal of Water Resources Planning and Management","topic":"Hydrological Forecasting Using AI","field":"Environmental Science","cited_by":43,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true},"ca_institutions":"BC Hydro (Canada); Dow Chemical (Canada); University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Streamflow; Pacific decadal oscillation; Climatology; Environmental science; Precipitation; Teleconnection; Jackknife resampling; Linear regression; Water year; Sea surface temperature; Regression; Meteorology; Mathematics; Statistics; Geography; Drainage basin; Estimator; Geology","authors":[{"name":"William W. Hsieh","is_ca":true},{"name":"Yuval","is_ca":true},{"name":"Jingyang Li","is_ca":true},{"name":"Amir Shabbar","is_ca":true},{"name":"Stephanie Smith","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.009075874074992376,"gpt":0.1995410315784839,"spread":0.1904651575034915,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008848218,0.0003139341,0.0002753923,0.0006654613,0.0004368775,0.0006703885,0.0005366832,0.000297674,0.001106295],"category_scores_gemma":[0.005838956,0.0001984378,0.0001601022,0.001040834,0.0002554096,0.0003164378,0.0003902558,0.0005744469,0.0002336477],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004193509,"about_ca_system_score_gemma":0.004308729,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8760306,"about_ca_topic_score_gemma":0.8956712,"domain_scores_codex":[0.9996711,0.00006813068,0.00002276085,0.00008599467,0.00009808705,0.00005391843],"domain_scores_gemma":[0.9981488,0.0005575898,0.0001403769,0.0001218345,0.0009476092,0.00008371143],"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":[0.0003081234,0.0001031865,0.2942176,0.00005621923,0.0001324938,0.0001448784,0.0002731533,0.5549511,0.002348856,0.0007511129,0.003522528,0.1431908],"study_design_scores_gemma":[0.00001633809,0.00001493196,0.1170708,0.00001166404,0.00001318341,0.00001301824,0.00009929388,0.8806337,0.001096047,0.0001976298,0.0008156748,0.00001768793],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9915435,0.0001067019,0.005688551,0.0001479081,0.00001352331,0.000016539,0.0008203568,0.0001896248,0.001473401],"genre_scores_gemma":[0.9950264,0.00004061047,0.002821901,0.00001049292,0.000002662432,0.00001103128,0.0008675976,0.00001491379,0.001204397],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1239694,"threshold_uncertainty_score":0.2493989,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2913751434","doi":"10.1061/(asce)wr.1943-5452.0001035","title":"Battle of the Water Networks District Metered Areas","year":2019,"lang":"en","type":"article","venue":"Journal of Water Resources Planning and Management","topic":"Water Systems and Optimization","field":"Engineering","cited_by":42,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Queen's University","funders":"","keywords":"Battle; Water supply; Competition (biology); Economic shortage; Water resources; Quality (philosophy); Water quality; Water scarcity; Session (web analytics); Operations research; Distribution (mathematics); Computer science; Engineering; Civil engineering; Environmental science; Water resource management; Environmental engineering; Mathematics; Geography","authors":[{"name":"Juan Saldarriaga","is_ca":false},{"name":"Jessica Bohórquez","is_ca":false},{"name":"David Celeita","is_ca":false},{"name":"Laura Vega","is_ca":false},{"name":"D. Páez","is_ca":true},{"name":"Dragan Savić","is_ca":false},{"name":"Graeme C. Dandy","is_ca":false},{"name":"Yves Filion","is_ca":true},{"name":"Walter M. Grayman","is_ca":false},{"name":"Zoran Kapelan","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.005554981406202443,"gpt":0.169021320778019,"spread":0.1634663393718166,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006113381,0.0004816006,0.0003834243,0.0007073723,0.002458194,0.005955336,0.001536945,0.002072342,0.006545513],"category_scores_gemma":[0.006773243,0.0004658918,0.0003924783,0.001013536,0.002160503,0.007205796,0.004333071,0.004494489,0.0006140606],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006539197,"about_ca_system_score_gemma":0.004764877,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008084506,"about_ca_topic_score_gemma":0.01467611,"domain_scores_codex":[0.996083,0.001798601,0.0001107508,0.000426863,0.001157161,0.0004235756],"domain_scores_gemma":[0.9969124,0.001220854,0.0001852734,0.0002597167,0.0007548606,0.0006668401],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000207698,0.000165146,0.003097479,0.0003752931,0.00004700898,0.0002981604,0.002310319,0.06546207,0.00435155,0.4696068,0.08140766,0.3726708],"study_design_scores_gemma":[0.00008051055,0.0002307134,0.003692843,0.0003623844,0.00001892758,0.0002985149,0.006694682,0.1174897,0.005263646,0.1567868,0.7089803,0.0001008759],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1411784,0.01305133,0.3958425,0.1749442,0.003354877,0.000555942,0.0008721237,0.000637806,0.2695628],"genre_scores_gemma":[0.7947159,0.004990831,0.132487,0.005599593,0.0008005758,0.0002533867,0.0006102407,0.0003216402,0.06022084],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008084506,"threshold_uncertainty_score":0.04744542,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2162071203","doi":"10.1061/(asce)0733-9496(2007)133:2(137)","title":"Cross Correlation of Demands in Water Distribution Network Design","year":2007,"lang":"en","type":"article","venue":"Journal of Water Resources Planning and Management","topic":"Water Systems and Optimization","field":"Engineering","cited_by":42,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Queen's University; University of Toronto","funders":"Canadian Water Network","keywords":"Correlation; Unison; Network planning and design; Standard deviation; Econometrics; Statistics; Environmental science; Operations research; Computer science; Simulation; Mathematics; Telecommunications","authors":[{"name":"Yves Filion","is_ca":true},{"name":"Barry J. Adams","is_ca":true},{"name":"Bryan Karney","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.009917463506799984,"gpt":0.2141545103061372,"spread":0.2042370467993372,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008056449,0.0008318246,0.0008551376,0.000960745,0.0004422925,0.001395327,0.0006679313,0.0009179683,0.001196079],"category_scores_gemma":[0.02609421,0.001276034,0.0005629473,0.00109676,0.0008675845,0.002530786,0.001787208,0.001108875,0.0001423695],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001402399,"about_ca_system_score_gemma":0.001028253,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002350794,"about_ca_topic_score_gemma":0.002961332,"domain_scores_codex":[0.9945875,0.003202268,0.0002640155,0.0006008755,0.0009948055,0.0003505628],"domain_scores_gemma":[0.9738383,0.01972919,0.002491382,0.001173708,0.00240466,0.0003626492],"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":[0.0000836496,0.00003132066,0.006266046,0.00001849423,0.00003726976,0.00006461006,0.00004877907,0.9826507,0.000566918,0.004237701,0.00008811052,0.005906416],"study_design_scores_gemma":[0.000006729384,0.0000768515,0.002358984,0.000004409948,0.00001178868,0.00004014758,0.00002195603,0.9935619,0.0007064256,0.003073959,0.0001249721,0.00001193541],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.4369638,0.000263599,0.5579402,0.0003392211,0.00002950955,0.00006618484,0.0001086677,0.00009406816,0.004194674],"genre_scores_gemma":[0.9811298,0.00008944351,0.01797859,0.00003814427,0.00001350612,0.00003799468,0.00007305334,0.00003315444,0.0006062759],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.008056449,"threshold_uncertainty_score":0.04260707,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2550231465","doi":"10.1061/(asce)wr.1943-5452.0000725","title":"Mapping Extreme Rainfall Statistics for Canada under Climate Change Using Updated Intensity-Duration-Frequency Curves","year":2016,"lang":"en","type":"article","venue":"Journal of Water Resources Planning and Management","topic":"Climate variability and models","field":"Environmental Science","cited_by":34,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true},"ca_institutions":"Canadian Chiropractic Association; Western University","funders":"Canadian Water Network","keywords":"Downscaling; Precipitation; Environmental science; Climatology; Climate change; Quantile; Extreme value theory; Baseline (sea); Intensity (physics); Statistics; Meteorology; Mathematics; Geography; Geology","authors":[{"name":"Slobodan P. Simonović","is_ca":false},{"name":"André Schardong","is_ca":true},{"name":"Dan Sandink","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.06328193113851797,"gpt":0.2525064058152137,"spread":0.1892244746766957,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004968804,0.0002697478,0.0002261629,0.002659888,0.000652241,0.0008394427,0.0005060965,0.0001371646,0.001149349],"category_scores_gemma":[0.002716393,0.0001330409,0.0004338773,0.006570817,0.0002116976,0.0003051685,0.0003854048,0.0003247196,0.0001634737],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01149409,"about_ca_system_score_gemma":0.0149679,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9895979,"about_ca_topic_score_gemma":0.9923125,"domain_scores_codex":[0.9995549,0.00002578891,0.00002228667,0.00007201425,0.0002495373,0.00007545409],"domain_scores_gemma":[0.9979483,0.0001613859,0.0001871749,0.000104848,0.001492745,0.0001055602],"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":[0.0001754403,0.00005067323,0.7401501,0.0001797118,0.0003066146,0.0001843893,0.0005433186,0.1454944,0.002777084,0.004206328,0.0256683,0.08026364],"study_design_scores_gemma":[0.00001947659,0.00001694756,0.8712821,0.0000405626,0.00004968521,0.000057885,0.0006004376,0.09996014,0.001578177,0.0007379359,0.02559314,0.00006355096],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7997807,0.0005372384,0.01545223,0.0005213899,0.00002830965,0.0001103438,0.1657186,0.001844131,0.01600717],"genre_scores_gemma":[0.9095631,0.0004118545,0.01654818,0.00005168629,0.000009419104,0.00004991014,0.07127871,0.0001276441,0.001959363],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01149409,"threshold_uncertainty_score":0.08339584,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2013746319","doi":"10.1061/(asce)wr.1943-5452.0000096","title":"Possibilistic Stochastic Water Management Model for Agricultural Nonpoint Source Pollution","year":2010,"lang":"en","type":"article","venue":"Journal of Water Resources Planning and Management","topic":"Water resources management and optimization","field":"Engineering","cited_by":33,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Regina","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Nonpoint source pollution; Flexibility (engineering); Agriculture; Randomness; Stochastic programming; Computer science; Water quality; Risk analysis (engineering); Quality (philosophy); Environmental economics; Operations research; Environmental science; Mathematical optimization; Business; Economics; Engineering; Mathematics","authors":[{"name":"Xiaodong Zhang","is_ca":true},{"name":"Guohe Huang","is_ca":true},{"name":"Xianghui Nie","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.008293775283924158,"gpt":0.1992538274444279,"spread":0.1909600521605038,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008928495,0.0009645022,0.0007869191,0.000841286,0.0006491127,0.001514576,0.002040441,0.001618755,0.002126233],"category_scores_gemma":[0.001274699,0.0006510135,0.001291707,0.001039955,0.0008699039,0.001230385,0.001090398,0.001143889,0.0001593014],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001538513,"about_ca_system_score_gemma":0.001941411,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01905902,"about_ca_topic_score_gemma":0.01283241,"domain_scores_codex":[0.9993281,0.0002027809,0.0000324044,0.0001459299,0.0001805279,0.0001103071],"domain_scores_gemma":[0.9994615,0.00028086,0.0001042816,0.00001832408,0.00009637517,0.0000387631],"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":[0.00000995202,0.00001018846,0.0002944459,0.00002044473,0.0000154036,0.00006906305,0.00002550929,0.9906594,0.0003732118,0.007104177,0.00008151917,0.001336749],"study_design_scores_gemma":[0.000003637397,0.000009318398,0.00009305446,0.000001970017,0.000006246341,0.000009176073,0.000009075537,0.9972384,0.00005529871,0.002458977,0.0001109675,0.000003848788],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1079244,0.0003961294,0.8783025,0.0005450532,0.0000421449,0.0001264857,0.0003299017,0.000133884,0.01219946],"genre_scores_gemma":[0.9718158,0.0002783899,0.02237082,0.00005628268,0.00001957198,0.000234007,0.0001387462,0.00001866726,0.005067735],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01905902,"threshold_uncertainty_score":0.03789616,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1970836502","doi":"10.1061/(asce)wr.1943-5452.0000525","title":"Coupled Self-Adaptive Multiobjective Differential Evolution and Network Flow Algorithm Approach for Optimal Reservoir Operation","year":2015,"lang":"en","type":"article","venue":"Journal of Water Resources Planning and Management","topic":"Water resources management and optimization","field":"Engineering","cited_by":32,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Differential evolution; Mathematical optimization; Minification; Maximization; Evolutionary algorithm; Sorting; Multi-objective optimization; Computer science; Inflow; Genetic algorithm; Differential (mechanical device); Mathematics; Algorithm; Engineering","authors":[{"name":"André Schardong","is_ca":false},{"name":"Slobodan P. Simonović","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01379838106674157,"gpt":0.2061951788994356,"spread":0.1923967978326941,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001080042,0.0006942178,0.0007370927,0.0007159256,0.0003500172,0.0006531793,0.001004723,0.000914,0.001141467],"category_scores_gemma":[0.001507765,0.0004045285,0.0006287472,0.0005184638,0.0005341168,0.0005421289,0.0008897972,0.0006247602,0.0001350074],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007681835,"about_ca_system_score_gemma":0.001055901,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004623482,"about_ca_topic_score_gemma":0.003487073,"domain_scores_codex":[0.9996811,0.0001186403,0.00001508029,0.00004417048,0.0001082157,0.00003270039],"domain_scores_gemma":[0.9994919,0.0003122282,0.00004712138,0.00002113152,0.0001063511,0.00002128156],"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":[0.00001170192,0.00001636593,0.0002028966,0.00001801358,0.0000178256,0.00001692849,0.00002398308,0.9855453,0.000565808,0.002131489,0.00008208398,0.01136752],"study_design_scores_gemma":[0.000002441028,0.000008109375,0.00002051023,0.000001254372,0.000001668767,0.000002288094,0.00000152855,0.9994962,0.00008756053,0.0002740671,0.000103298,0.000001099815],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02032692,0.0001381197,0.9768439,0.00007549543,0.00001689544,0.00005895817,0.00001174407,0.000114774,0.002413243],"genre_scores_gemma":[0.5859292,0.0002031578,0.4097129,0.000122212,0.00002365846,0.0004125474,0.00007659365,0.00007718805,0.003442558],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004623482,"threshold_uncertainty_score":0.009193122,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3011745888","doi":"10.1061/(asce)wr.1943-5452.0001178","title":"Ice-Jam Flood Risk Assessment and Hazard Mapping under Future Climate","year":2020,"lang":"en","type":"article","venue":"Journal of Water Resources Planning and Management","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":31,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"Global Institute for Water Security; University of Saskatchewan","funders":"","keywords":"Flood myth; Environmental science; Climate change; Flooding (psychology); Context (archaeology); Flood risk assessment; Return period; Climate model; Climatology; Hydrology (agriculture); Hazard; Levee; Geography; Geology; Oceanography","authors":[{"name":"Apurba Das","is_ca":true},{"name":"Prabin Rokaya","is_ca":true},{"name":"Karl‐Erich Lindenschmidt","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01428879998323866,"gpt":0.2234199167425316,"spread":0.2091311167592929,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005530366,0.0003016712,0.0002043099,0.0005875443,0.000365892,0.00063079,0.0005736855,0.0002937143,0.0006117465],"category_scores_gemma":[0.0009234314,0.0001776279,0.0003474637,0.0004093247,0.000299278,0.0004059052,0.0003400622,0.0002146201,0.00003708004],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002524127,"about_ca_system_score_gemma":0.001772976,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2393561,"about_ca_topic_score_gemma":0.2665036,"domain_scores_codex":[0.9998616,0.00004302935,0.000004625459,0.00002127395,0.00002891806,0.00004050959],"domain_scores_gemma":[0.9998152,0.00006392137,0.00004270081,0.00001144683,0.00003916209,0.00002765942],"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":[0.00004250335,0.00002526696,0.03788536,0.000007515772,0.00002492211,0.00005898351,0.000047604,0.9570346,0.0003618982,0.001079392,0.0001644917,0.003267439],"study_design_scores_gemma":[0.000007571539,0.00001800714,0.0246836,0.000002742819,0.00001220669,0.00001522961,0.0001031499,0.9739735,0.0002020862,0.0007817953,0.0001914152,0.000008670148],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9889736,0.0000230173,0.009079763,0.00007741774,0.000003028874,0.00001991537,0.0004444955,0.00006603394,0.001312734],"genre_scores_gemma":[0.9981619,0.00001843173,0.001400827,0.000003327611,0.000001651503,0.000006120811,0.0001870497,0.000002854472,0.0002178246],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2393561,"threshold_uncertainty_score":0.4759259,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2899086820","doi":"10.1061/(asce)wr.1943-5452.0001021","title":"Promoting Sustainable Ice-Jam Flood Management along the Peace River and Peace-Athabasca Delta","year":2018,"lang":"en","type":"article","venue":"Journal of Water Resources Planning and Management","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":31,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true},"ca_institutions":"Global Institute for Water Security; University of Saskatchewan","funders":"Environment and Climate Change Canada; BC Hydro; Canada Research Chairs","keywords":"Flood myth; Delta; Hydrology (agriculture); Flooding (psychology); Environmental science; Flood stage; Water resource management; Geography; Geology; 100-year flood; Engineering","authors":[{"name":"Prabin Rokaya","is_ca":true},{"name":"H. S. Wheater","is_ca":true},{"name":"Karl‐Erich Lindenschmidt","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.007763713039300129,"gpt":0.2039848048587948,"spread":0.1962210918194947,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001783856,0.0001026598,0.00005838439,0.0004094603,0.0008909883,0.0008618277,0.0003853561,0.0001982305,0.001100334],"category_scores_gemma":[0.000340816,0.00004298038,0.00007407377,0.0004995046,0.0003774729,0.0003886423,0.0007833536,0.0001957854,0.00005996954],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001679222,"about_ca_system_score_gemma":0.004152101,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06595422,"about_ca_topic_score_gemma":0.1753451,"domain_scores_codex":[0.9998903,0.00003705042,0.000003616608,0.00000566686,0.00002706337,0.00003636902],"domain_scores_gemma":[0.9998819,0.000015914,0.00002269621,0.000004329471,0.00002463162,0.00005060069],"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":[0.0002560354,0.0006599906,0.2313015,0.0009896354,0.00007660141,0.006151541,0.0055074,0.08233629,0.04130808,0.06253606,0.01947777,0.5493992],"study_design_scores_gemma":[0.0001003133,0.0005847454,0.536619,0.0009426955,0.0001221419,0.001058988,0.05842374,0.09470785,0.01459359,0.03715752,0.2555519,0.0001375001],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9305303,0.001702301,0.006924494,0.007617834,0.00003516565,0.00015009,0.0002573266,0.000143171,0.05263934],"genre_scores_gemma":[0.9946573,0.001109786,0.002371362,0.00008797311,0.000004882869,0.00002234962,0.00004061243,0.000004914918,0.001700794],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9340458,"threshold_uncertainty_score":0.1311406,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2063159345","doi":"10.1061/(asce)wr.1943-5452.0000449","title":"Sensing and Cyberinfrastructure for Smarter Water Management: The Promise and Challenge of Ubiquity","year":2014,"lang":"en","type":"article","venue":"Journal of Water Resources Planning and Management","topic":"Water Quality Monitoring Technologies","field":"Environmental Science","cited_by":30,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Thompson Rivers University","funders":"","keywords":"Cyberinfrastructure; Computer science; Data science; Environmental science; Risk analysis (engineering); Business","authors":[{"name":"David Hill","is_ca":true},{"name":"Branko Kerkez","is_ca":false},{"name":"Amin Rasekh","is_ca":false},{"name":"Avi Ostfeld","is_ca":false},{"name":"Barbara Minsker","is_ca":false},{"name":"M. Katherine Banks","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01521532908942749,"gpt":0.2308566841746841,"spread":0.2156413550852566,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002911404,0.0004950728,0.000687508,0.001237152,0.00102682,0.005388855,0.001458187,0.003243713,0.005996384],"category_scores_gemma":[0.006553626,0.0005928766,0.0005367847,0.001103335,0.006124307,0.02237599,0.003990311,0.0034611,0.0006712631],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007214783,"about_ca_system_score_gemma":0.0006210601,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006709826,"about_ca_topic_score_gemma":0.000697539,"domain_scores_codex":[0.9984583,0.0005165319,0.00007830578,0.0004122894,0.0003881054,0.0001464756],"domain_scores_gemma":[0.9903931,0.004979183,0.001150936,0.002153359,0.0008995182,0.0004239412],"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":[0.0002355065,0.0003299747,0.02185855,0.001003258,0.0001881428,0.0005426807,0.001848859,0.009547187,0.01448886,0.607282,0.0117247,0.3309503],"study_design_scores_gemma":[0.00003695808,0.0003527093,0.01368375,0.0007233058,0.00009272689,0.001369034,0.002965961,0.02536322,0.006569343,0.8003675,0.1483301,0.0001454311],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3185496,0.08461276,0.3643997,0.1128862,0.002745111,0.000128369,0.0007865817,0.001002791,0.1148889],"genre_scores_gemma":[0.9409932,0.01657727,0.03189509,0.003555089,0.001910182,0.00006874243,0.0001183619,0.00006278458,0.0048193],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005996384,"threshold_uncertainty_score":0.02005988,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2170960572","doi":"10.1061/(asce)wr.1943-5452.0000564","title":"Performance Index for Water Distribution Networks under Multiple Loading Conditions","year":2015,"lang":"en","type":"article","venue":"Journal of Water Resources Planning and Management","topic":"Water Systems and Optimization","field":"Engineering","cited_by":29,"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":"Redundancy (engineering); Reliability engineering; Computer science; Index (typography); Metric (unit); Efficient energy use; Sensitivity (control systems); Resilience (materials science); Range (aeronautics); Reliability (semiconductor); Performance indicator; Performance metric; Data mining; Engineering","authors":[{"name":"Rebecca Dziedzic","is_ca":false},{"name":"Bryan Karney","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01694908438788549,"gpt":0.211785518583182,"spread":0.1948364341952965,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00261184,0.001028836,0.0007002098,0.004610815,0.0004781772,0.001274509,0.0007351856,0.0007687565,0.001616909],"category_scores_gemma":[0.008152165,0.0001309399,0.0005020131,0.002818366,0.000688489,0.002289718,0.001063617,0.0004359043,0.0003013613],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001714607,"about_ca_system_score_gemma":0.0005529997,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001878118,"about_ca_topic_score_gemma":0.00146831,"domain_scores_codex":[0.99827,0.0004357009,0.0001451471,0.0002633896,0.0006803471,0.0002053429],"domain_scores_gemma":[0.9947128,0.002810362,0.0009925544,0.0004081881,0.0009222651,0.0001538371],"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":[0.0001681444,0.00008820008,0.01259862,0.0001316973,0.00008470689,0.0001455883,0.0001112533,0.9155158,0.004970149,0.009243233,0.001342795,0.05559986],"study_design_scores_gemma":[0.000007002965,0.0002799245,0.009463284,0.00001996268,0.00003083738,0.0001964664,0.000107058,0.9764847,0.005036005,0.006751782,0.001584916,0.00003816474],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4999254,0.001071293,0.4729299,0.0004182986,0.0001108947,0.0002506703,0.001566472,0.001162545,0.02256444],"genre_scores_gemma":[0.9770233,0.0001766286,0.02119462,0.00001713597,0.00003121836,0.00007498058,0.0006586531,0.00004663533,0.0007767146],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004610815,"threshold_uncertainty_score":0.0138129,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3022226787","doi":"10.1061/(asce)wr.1943-5452.0001239","title":"Battle of Postdisaster Response and Restoration","year":2020,"lang":"en","type":"article","venue":"Journal of Water Resources Planning and Management","topic":"Water Systems and Optimization","field":"Engineering","cited_by":29,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"Queen's University","funders":"","keywords":"Firefighting; Damages; Schedule; Resilience (materials science); Computer science; Operations research; Service (business); Battle; Duration (music); Engineering; Operations management; Business","authors":[{"name":"D. Páez","is_ca":true},{"name":"Yves Filion","is_ca":true},{"name":"Mario Castro-Gama","is_ca":false},{"name":"Claudia Quintiliani","is_ca":false},{"name":"Simone Santopietro","is_ca":false},{"name":"Chris Sweetapple","is_ca":false},{"name":"Fanlin Meng","is_ca":false},{"name":"Raziyeh Farmani","is_ca":false},{"name":"Guangtao Fu","is_ca":false},{"name":"David Butler","is_ca":false},{"name":"Feifei Zheng","is_ca":false},{"name":"Kegong Diao","is_ca":false},{"name":"Bogumił Ulanicki","is_ca":false},{"name":"Yuan Huang","is_ca":false},{"name":"Jochen Deuerlein","is_ca":false},{"name":"Denis Gilbert","is_ca":false},{"name":"Edo Abraham","is_ca":false},{"name":"Olivier Piller","is_ca":false},{"name":"Alicja Bałut","is_ca":false},{"name":"Rafał Brodziak","is_ca":false},{"name":"Jędrzej Bylka","is_ca":false},{"name":"Przemysław Zakrzewski","is_ca":false},{"name":"Yuanzhe Li","is_ca":false},{"name":"Jinliang Gao","is_ca":false},{"name":"Cai Jian","is_ca":false},{"name":"Chenhao Ou","is_ca":false},{"name":"Shiyuan Hu","is_ca":false},{"name":"Sophocles Sophocleous","is_ca":false},{"name":"Eirini Nikoloudi","is_ca":false},{"name":"Kevin Woodward","is_ca":false},{"name":"Michele Romano","is_ca":false},{"name":"Giovanni Francesco Santonastaso","is_ca":false},{"name":"Enrico Creaco","is_ca":false},{"name":"Armando Di Nardo","is_ca":false},{"name":"Michele Di Natale","is_ca":false},{"name":"Attila Bibok","is_ca":false},{"name":"Camilo Salcedo","is_ca":false},{"name":"Andrés Aguilar","is_ca":false},{"name":"Paula Cuero","is_ca":false},{"name":"Sebastián González","is_ca":false},{"name":"Sergio Muñoz","is_ca":false},{"name":"Jorge Pérez","is_ca":false},{"name":"Alejandra Posada","is_ca":false},{"name":"Juliana Robles","is_ca":false},{"name":"Kevin Vargas","is_ca":false},{"name":"Marco Franchini","is_ca":false},{"name":"Stefano Galelli","is_ca":false},{"name":"Joong Hoon Kim","is_ca":false},{"name":"Pedro L. Iglesias‐Rey","is_ca":false},{"name":"Zoran Kapelan","is_ca":false},{"name":"Juan Saldarriaga","is_ca":false},{"name":"Dragan Savić","is_ca":false},{"name":"Thomas M. Walski","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01177906628260638,"gpt":0.1925041846279885,"spread":0.1807251183453821,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01774466,0.001648288,0.001491806,0.001110905,0.002665568,0.003685042,0.002112857,0.003154291,0.01027262],"category_scores_gemma":[0.0258777,0.0004253176,0.00105298,0.0009897607,0.002209506,0.003577573,0.003640507,0.003658584,0.001392409],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003850466,"about_ca_system_score_gemma":0.004020293,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009078464,"about_ca_topic_score_gemma":0.009728889,"domain_scores_codex":[0.9861801,0.007276692,0.000342808,0.001097238,0.003302344,0.001800839],"domain_scores_gemma":[0.9726093,0.01722956,0.001151826,0.001474804,0.004748041,0.002786546],"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":[0.00405039,0.001615355,0.007115201,0.00174348,0.0003384465,0.001462762,0.002513446,0.4380983,0.009316565,0.05988827,0.1160582,0.3577996],"study_design_scores_gemma":[0.0006275331,0.003631616,0.006987344,0.0004728435,0.0001506875,0.0009120253,0.01133466,0.7011864,0.01589846,0.06284796,0.195635,0.0003155682],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4557184,0.008910944,0.3298294,0.04771911,0.0108235,0.002770447,0.002942543,0.003292535,0.1379932],"genre_scores_gemma":[0.8582034,0.001127249,0.1108064,0.001805507,0.00076264,0.0005040988,0.00157319,0.000443879,0.02477354],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01774466,"threshold_uncertainty_score":0.09384388,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2782346946","doi":"10.1061/(asce)wr.1943-5452.0000890","title":"Benchmark Performance Indicators for Utility Water and Wastewater Pipelines Infrastructure","year":2018,"lang":"en","type":"article","venue":"Journal of Water Resources Planning and Management","topic":"Water Systems and Optimization","field":"Engineering","cited_by":28,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"University of Waterloo; Research Canada","funders":"","keywords":"Benchmarking; Benchmark (surveying); Performance indicator; Environmental economics; Sustainability; Network performance; Computer science; Environmental resource management; Environmental science; Operations research; Engineering; Business; Telecommunications; Economics","authors":[{"name":"Amin Ganjidoost","is_ca":true},{"name":"Mark A. Knight","is_ca":true},{"name":"Andrè Unger","is_ca":true},{"name":"Carl T. Haas","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.006303926304801484,"gpt":0.1971731056786742,"spread":0.1908691793738728,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01133595,0.001304161,0.0008630974,0.007679609,0.0008497321,0.002901029,0.001004631,0.0007545283,0.001311865],"category_scores_gemma":[0.03165524,0.0002442922,0.0008319395,0.0108036,0.0006826795,0.003228139,0.001891154,0.0007841102,0.0003017135],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005848552,"about_ca_system_score_gemma":0.003854607,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0177463,"about_ca_topic_score_gemma":0.01169543,"domain_scores_codex":[0.9901509,0.003214954,0.0007776049,0.0005868684,0.004568351,0.0007013581],"domain_scores_gemma":[0.9849195,0.003532742,0.003778082,0.00112874,0.006127453,0.0005133929],"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":[0.0002691128,0.0003768651,0.0856245,0.0003959914,0.0001682567,0.0001275304,0.0003390694,0.6941537,0.002815092,0.0482478,0.009527075,0.1579551],"study_design_scores_gemma":[0.00003049818,0.0007423268,0.0652378,0.0002334468,0.00006096075,0.0001398448,0.0009592682,0.8806767,0.009470535,0.02189232,0.02042109,0.0001351701],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4098728,0.002262427,0.5002379,0.001161534,0.0003179249,0.0007943651,0.005817533,0.003185275,0.07635006],"genre_scores_gemma":[0.93213,0.0004775949,0.06147064,0.00004947573,0.00003191452,0.0002397642,0.00393818,0.00008669352,0.001575823],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0177463,"threshold_uncertainty_score":0.05995095,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2002608923","doi":"10.1061/(asce)wr.1943-5452.0000450","title":"Water Distribution System Rehabilitation under Climate Change Mitigation Scenarios in Canada","year":2014,"lang":"en","type":"article","venue":"Journal of Water Resources Planning and Management","topic":"Water Systems and Optimization","field":"Engineering","cited_by":26,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"Bentley (Canada)","funders":"","keywords":"Greenhouse gas; Discounting; Carbon tax; Leakage (economics); Natural resource economics; Climate change; Rehabilitation; Carbon leakage; Environmental science; Business; Environmental economics; Environmental engineering; Economics; Emissions trading; Finance","authors":[{"name":"Ehsan Roshani","is_ca":true},{"name":"Yves Filion","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.005964967241689541,"gpt":0.1732808783534578,"spread":0.1673159111117682,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007411312,0.0006965051,0.0005468133,0.0007847721,0.001739055,0.001417937,0.0009990642,0.0008022995,0.001779628],"category_scores_gemma":[0.001757845,0.0003886633,0.0006877191,0.001762976,0.0009841842,0.0006538265,0.0005770331,0.0006550187,0.0001027007],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05465573,"about_ca_system_score_gemma":0.0248716,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9881464,"about_ca_topic_score_gemma":0.9905207,"domain_scores_codex":[0.9992946,0.000101465,0.00001464032,0.00007384529,0.0001503342,0.0003650388],"domain_scores_gemma":[0.9993219,0.0001426507,0.0000485665,0.0000233239,0.0003210489,0.0001424721],"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":[0.0001767401,0.00008336908,0.01231089,0.00003865028,0.00004476457,0.00019112,0.0000651066,0.9763618,0.000884464,0.001888542,0.001637294,0.006317408],"study_design_scores_gemma":[0.0001240949,0.0001141143,0.0280976,0.00001525365,0.00006611214,0.00003138014,0.0007942352,0.9648497,0.001606079,0.001100471,0.003143828,0.00005711324],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9864027,0.0002187424,0.001906881,0.0006643695,0.00001240933,0.0001156531,0.001347087,0.0001415326,0.009190574],"genre_scores_gemma":[0.9949772,0.0001345865,0.00170312,0.000040852,0.000001706757,0.00001673194,0.0004974764,0.0000152948,0.002613151],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05465573,"threshold_uncertainty_score":0.3965569,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2152649455","doi":"10.1061/(asce)wr.1943-5452.0000445","title":"Water Resources Optimization Method in the Context of Climate Change","year":2014,"lang":"en","type":"article","venue":"Journal of Water Resources Planning and Management","topic":"Water resources management and optimization","field":"Engineering","cited_by":25,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true},"ca_institutions":"Rio Tinto (Canada); École de Technologie Supérieure; Université de Sherbrooke","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Hydropower; Climate change; Inflow; Context (archaeology); Water resources; Stochastic programming; Environmental science; Mathematical optimization; Stochastic optimization; Term (time); Seasonality; Computer science; Environmental resource management; Mathematics; Engineering; Meteorology; Geography; Ecology","authors":[{"name":"Didier Haguma","is_ca":true},{"name":"Robert Leconte","is_ca":true},{"name":"Stéphane Krau","is_ca":true},{"name":"Pascal Côté","is_ca":true},{"name":"François Brissette","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01592200740909142,"gpt":0.2300334273949823,"spread":0.2141114199858908,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008091484,0.0005228003,0.0005848848,0.0005025041,0.0005217196,0.000801642,0.0008641746,0.0007678256,0.003534882],"category_scores_gemma":[0.001377836,0.0002852499,0.0005696535,0.0007152035,0.0004836227,0.0008016744,0.0007967611,0.001089126,0.0004757463],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005536001,"about_ca_system_score_gemma":0.001355478,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007213827,"about_ca_topic_score_gemma":0.007673721,"domain_scores_codex":[0.9996142,0.0001882887,0.00001195881,0.00005879017,0.0001003121,0.00002637358],"domain_scores_gemma":[0.9996479,0.000226924,0.00002388698,0.00001854809,0.00007043845,0.00001241902],"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":[0.0000293775,0.00002749366,0.0003971579,0.00008770057,0.00004747503,0.0001097768,0.00005550197,0.8749843,0.001350973,0.05448708,0.002575333,0.06584785],"study_design_scores_gemma":[0.00001020068,0.000009628891,0.00008883244,0.00001078746,0.000006076933,0.00002078849,0.00001192695,0.9827486,0.0002692706,0.01111611,0.005701653,0.000006170652],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002945803,0.0002856825,0.9893679,0.0002439185,0.00009202426,0.00004892006,0.00007006594,0.0001521614,0.006793615],"genre_scores_gemma":[0.2225288,0.0007730474,0.7647966,0.0002509011,0.0001889203,0.0004607789,0.0001710321,0.0001984437,0.0106316],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007213827,"threshold_uncertainty_score":0.01434368,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1997419256","doi":"10.1061/(asce)wr.1943-5452.0000158","title":"Evaluating the Impact of Climate Change Mitigation Strategies on the Optimal Design and Expansion of the Amherstview, Ontario, Water Network: Canadian Case Study","year":2011,"lang":"en","type":"article","venue":"Journal of Water Resources Planning and Management","topic":"Water Systems and Optimization","field":"Engineering","cited_by":24,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true},"ca_institutions":"Queen's University","funders":"Science and Engineering Research Board; Natural Sciences and Engineering Research Council of Canada","keywords":"Greenhouse gas; Discounting; Climate change; Environmental science; Carbon price; Carbon tax; Energy consumption; Environmental economics; Natural resource economics; Environmental engineering; Economics; Engineering","authors":[{"name":"Ehsan Roshani","is_ca":true},{"name":"Stephanie P. MacLeod","is_ca":true},{"name":"Yves Filion","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.08005781922217048,"gpt":0.2751574910139664,"spread":0.1950996717917959,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001149212,0.0008821835,0.0005189637,0.00078279,0.00147027,0.001296255,0.001206271,0.0009418458,0.001405495],"category_scores_gemma":[0.002205923,0.000479384,0.0006437764,0.001136397,0.001154563,0.0005601472,0.0004740849,0.0005715624,0.00007421843],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02864113,"about_ca_system_score_gemma":0.01952365,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9319741,"about_ca_topic_score_gemma":0.9538152,"domain_scores_codex":[0.9992812,0.0001807057,0.00001498496,0.00006405384,0.0001975121,0.0002614874],"domain_scores_gemma":[0.9992513,0.0003534365,0.00006407386,0.00002589739,0.0002185904,0.0000867011],"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":[0.0001098677,0.00007222078,0.004827697,0.00007093984,0.00002406383,0.00020716,0.00005892044,0.9850433,0.001260873,0.001278276,0.0004592492,0.006587478],"study_design_scores_gemma":[0.000205486,0.0003688406,0.01642879,0.00002504087,0.00009178597,0.00005260198,0.0008944043,0.9740599,0.003876148,0.0009828709,0.002955503,0.00005860083],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.98125,0.000216086,0.005849821,0.0002805718,0.000009958105,0.0002619135,0.0004760602,0.00005421344,0.01160146],"genre_scores_gemma":[0.9913031,0.0001798817,0.006522138,0.00002385818,0.00000261106,0.00006667267,0.0001814307,0.0000106406,0.001709732],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06802595,"threshold_uncertainty_score":0.2078069,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2888592927","doi":"10.1061/(asce)wr.1943-5452.0000987","title":"Inexact Copula-Based Stochastic Programming Method for Water Resources Management under Multiple Uncertainties","year":2018,"lang":"en","type":"article","venue":"Journal of Water Resources Planning and Management","topic":"Water resources management and optimization","field":"Engineering","cited_by":24,"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":"Copula (linguistics); Nonlinear system; Probabilistic logic; Mathematical optimization; Flood myth; Computer science; Stochastic programming; Random variable; Linear programming; Water resources; Operations research; Mathematics; Econometrics; Statistics; Artificial intelligence","authors":[{"name":"Xiangjie Kong","is_ca":false},{"name":"Guohe Huang","is_ca":false},{"name":"Yongping Li","is_ca":false},{"name":"Yurui Fan","is_ca":true},{"name":"Xueting Zeng","is_ca":false},{"name":"Ying Zhu","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01708953948350884,"gpt":0.2492578881271642,"spread":0.2321683486436554,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001306677,0.001146225,0.001251268,0.0007049439,0.000514555,0.001005894,0.001088937,0.0009338039,0.002208453],"category_scores_gemma":[0.002583507,0.0006403014,0.001228209,0.0008201118,0.0005964155,0.0009229678,0.001150393,0.001834024,0.0002865449],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007253226,"about_ca_system_score_gemma":0.002044584,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007909993,"about_ca_topic_score_gemma":0.005055938,"domain_scores_codex":[0.9993452,0.0002490343,0.00003293237,0.00009872126,0.0002061053,0.00006803032],"domain_scores_gemma":[0.9989784,0.0006015292,0.0001097516,0.00003907744,0.0002261595,0.00004511422],"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":[0.000008753337,0.000009410631,0.0001388672,0.00003881358,0.00001954008,0.00003788714,0.00001868902,0.9828959,0.0003325369,0.006893154,0.000309965,0.009296533],"study_design_scores_gemma":[0.000001214804,0.000003846766,0.00001484596,0.000002286359,0.000002344032,0.000003641507,0.000001955768,0.998546,0.00005755023,0.001219554,0.0001452798,0.000001510328],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002006317,0.0001075113,0.9970176,0.00005013051,0.00001550384,0.00001511494,0.00001568265,0.00005506101,0.000717001],"genre_scores_gemma":[0.4573804,0.001277211,0.5354779,0.0002263738,0.0001500286,0.0005707738,0.0002786145,0.0002219341,0.004416829],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007909993,"threshold_uncertainty_score":0.01572788,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2345655325","doi":"10.1061/(asce)wr.1943-5452.0000669","title":"Improving Nonlinear Optimization Algorithms for BMP Implementation in a Combined Sewer System","year":2016,"lang":"en","type":"article","venue":"Journal of Water Resources Planning and Management","topic":"Urban Stormwater Management Solutions","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":"Polytechnique Montréal","funders":"","keywords":"Simulated annealing; Mathematical optimization; Genetic algorithm; Linear programming; Computer science; Interior point method; Computation; Nonlinear programming; Nonlinear system; Algorithm; Environmental science; Mathematics","authors":[{"name":"Anas Sebti","is_ca":false},{"name":"Mauricio Aceves","is_ca":true},{"name":"Saâd Bennis","is_ca":false},{"name":"Musandji Fuamba","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01223889672710779,"gpt":0.2411300263895846,"spread":0.2288911296624768,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008339289,0.0008018635,0.0006618854,0.000546415,0.0004535881,0.0007684394,0.0008667372,0.00109565,0.002953356],"category_scores_gemma":[0.001952749,0.0005403179,0.0006922352,0.0005298586,0.0004023191,0.0008002552,0.0006821816,0.001005864,0.0005140929],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007415712,"about_ca_system_score_gemma":0.001670788,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0118696,"about_ca_topic_score_gemma":0.01963286,"domain_scores_codex":[0.9997135,0.00009561336,0.00001420831,0.0000532974,0.00008069193,0.00004275824],"domain_scores_gemma":[0.9992175,0.0004678898,0.00007762996,0.00004434973,0.0001700767,0.00002245193],"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":[0.00002754136,0.00004992283,0.0005329285,0.00003273513,0.00001653808,0.00002132075,0.000029631,0.9709494,0.001831361,0.0008780772,0.0002198834,0.02541072],"study_design_scores_gemma":[0.000007214455,0.00002181359,0.0001152285,0.000003076814,0.000004254366,0.00000341041,0.00001076922,0.9986528,0.0005862555,0.0003047053,0.0002876771,0.000002763275],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09670424,0.0001103387,0.8968164,0.0001977237,0.00002714166,0.00009924985,0.00006285877,0.0006009119,0.00538111],"genre_scores_gemma":[0.4526856,0.0001099316,0.5432968,0.00006799848,0.00001406545,0.0002526985,0.00009791454,0.0001396274,0.003335191],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0118696,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2171712791","doi":"10.1061/(asce)0733-9496(2005)131:2(81)","title":"Effects of Discharge Permit Trading on Water Quality Reliability","year":2005,"lang":"en","type":"article","venue":"Journal of Water Resources Planning and Management","topic":"Water resources management and optimization","field":"Engineering","cited_by":23,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"University of Illinois at Urbana-Champaign; Universiti Teknologi Petronas","keywords":"Reliability (semiconductor); Environmental science; Water quality; Quality (philosophy); Pollution; Variance (accounting); Reliability engineering; Computer science; Business; Engineering; Ecology","authors":[{"name":"Tze Ling Ng","is_ca":false},{"name":"J. Wayland Eheart","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.00888884282714966,"gpt":0.2202409297934931,"spread":0.2113520869663434,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002405094,0.0003990915,0.0003370895,0.000373162,0.0003803886,0.0008956195,0.0004952684,0.0006504875,0.001193913],"category_scores_gemma":[0.01533038,0.0002613824,0.0005334665,0.0004163165,0.0009339916,0.0009857494,0.0006770145,0.0007709478,0.0001030534],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001381979,"about_ca_system_score_gemma":0.0008014357,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01262548,"about_ca_topic_score_gemma":0.009277778,"domain_scores_codex":[0.9985526,0.0006796492,0.0000730186,0.0001098839,0.0003024021,0.0002824838],"domain_scores_gemma":[0.9838766,0.01261341,0.001633025,0.0005866376,0.0009807078,0.0003095248],"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":[0.0008932342,0.0002933517,0.07955644,0.00005157394,0.0001412675,0.0007205252,0.0001337144,0.8864138,0.008476808,0.003712748,0.0005912121,0.01901525],"study_design_scores_gemma":[0.0001295424,0.001621695,0.09142157,0.00001528305,0.0001760567,0.0003234669,0.0004386851,0.8849277,0.0133983,0.006572214,0.0008890636,0.00008636635],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9946239,0.00006787623,0.002838147,0.0002070269,0.00001141581,0.00001141402,0.00009360928,0.00006042607,0.002086295],"genre_scores_gemma":[0.9996081,0.0000189627,0.0001864835,0.0000108769,0.000001569767,0.000002685854,0.0000177492,0.000003957482,0.0001496883],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01262548,"threshold_uncertainty_score":0.02510399,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3012276947","doi":"10.1061/(asce)wr.1943-5452.0001222","title":"Effect of Pipe Size and Location on Water-Main Head Loss in Water Distribution Systems","year":2020,"lang":"en","type":"article","venue":"Journal of Water Resources Planning and Management","topic":"Water Systems and Optimization","field":"Engineering","cited_by":23,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Queen's University; Hydro One (Canada)","funders":"Engineering and Physical Sciences Research Council","keywords":"Hydraulic head; Head (geology); Environmental science; Water pipe; Water level; Friction loss; Water flow; Volumetric flow rate; Flow (mathematics); Pipe network analysis; Mechanics; Geotechnical engineering; Environmental engineering; Geology; Engineering; Mechanical engineering; Inlet","authors":[{"name":"Saeed Hashemi","is_ca":true},{"name":"Yves Filion","is_ca":true},{"name":"Vanessa Speight","is_ca":false},{"name":"Andrew Long","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.006365934857180147,"gpt":0.2001695469929496,"spread":0.1938036121357695,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009731621,0.0003290027,0.0003142962,0.0006390614,0.0002759805,0.0004914519,0.0003794654,0.0002809501,0.001302708],"category_scores_gemma":[0.004768363,0.0002336381,0.0003653149,0.0005282274,0.0005492912,0.0009967007,0.0005793814,0.000296742,0.0001726219],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005949924,"about_ca_system_score_gemma":0.0002615133,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003367974,"about_ca_topic_score_gemma":0.005834114,"domain_scores_codex":[0.9991124,0.0003331607,0.00005236619,0.000133028,0.0002190853,0.0001498771],"domain_scores_gemma":[0.9926143,0.005014209,0.001168295,0.0004039668,0.0005666383,0.0002326561],"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":[0.003280016,0.0003504746,0.4977619,0.0003376192,0.0003052224,0.001362665,0.0004657945,0.3657132,0.05876654,0.0003871724,0.0005825631,0.07068676],"study_design_scores_gemma":[0.00003918713,0.002079549,0.8960911,0.00001918435,0.0001425684,0.0003895019,0.0006010052,0.07819378,0.02147712,0.0003861101,0.0005332487,0.00004760319],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9961156,0.00009010934,0.003050206,0.00002608444,0.000004684422,0.00001064607,0.00007390749,0.00006295285,0.0005659382],"genre_scores_gemma":[0.999523,0.00001721664,0.0002596093,0.000004034348,0.000001531698,0.000002815322,0.00003673391,0.00000611679,0.0001488945],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003367974,"threshold_uncertainty_score":0.006696701,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3185199823","doi":"10.1061/(asce)wr.1943-5452.0001434","title":"River Damming Reduces Wetland Function in Regulating Flow","year":2021,"lang":"en","type":"article","venue":"Journal of Water Resources Planning and Management","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":21,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"Wetland; Environmental science; Baseflow; Hydrology (agriculture); Drainage basin; Structural basin; Climate change; Streamflow; Water resource management; Ecology; Geology; Geography; Geomorphology","authors":[{"name":"Yanfeng Wu","is_ca":false},{"name":"Guangxin Zhang","is_ca":false},{"name":"Y. Jun Xu","is_ca":false},{"name":"Alain N. Rousseau","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01032341299395117,"gpt":0.2115263736806047,"spread":0.2012029606866536,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002485216,0.0002861864,0.0001623457,0.000151714,0.0002308181,0.000343239,0.0002916563,0.0002300832,0.0006374294],"category_scores_gemma":[0.0004326137,0.0001283406,0.0004008741,0.0001338137,0.0003789152,0.0005094318,0.0004199971,0.0001364182,0.00003223743],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004822446,"about_ca_system_score_gemma":0.0006247226,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00905784,"about_ca_topic_score_gemma":0.01009274,"domain_scores_codex":[0.9999229,0.00002325421,0.000004482962,0.00001620306,0.000008347144,0.0000248009],"domain_scores_gemma":[0.9999121,0.00002096395,0.00002502239,0.00001456042,0.00001080078,0.00001650441],"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":[0.0001683429,0.0001708752,0.09379949,0.00008913875,0.0001318705,0.0003477298,0.0002912343,0.8114861,0.07011338,0.004786427,0.0003395441,0.01827592],"study_design_scores_gemma":[0.00002539243,0.0001980699,0.1237855,0.000009609677,0.0001378621,0.00005907308,0.00025045,0.8650576,0.007759214,0.001684724,0.001005332,0.00002708786],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9964958,0.00002596083,0.002724231,0.00002935489,0.000003065634,0.000005171859,0.00002774488,0.000035673,0.0006531692],"genre_scores_gemma":[0.9995046,0.00001926128,0.0003738891,0.000003699015,5.459341e-7,0.00000256375,0.00001008689,0.000002062435,0.00008321724],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00905784,"threshold_uncertainty_score":0.01801026,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4200584175","doi":"10.1061/(asce)wr.1943-5452.0001512","title":"Data Mining Algorithms for Water Main Condition Prediction—Comparative Analysis","year":2021,"lang":"en","type":"article","venue":"Journal of Water Resources Planning and Management","topic":"Water Systems and Optimization","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"University of Alberta","funders":"","keywords":"Hyperparameter; Decision tree; Computer science; Data mining; Sensitivity (control systems); Machine learning; Support vector machine; AdaBoost; Set (abstract data type); Random forest; Process (computing); Engineering","authors":[{"name":"Ahmed Assad","is_ca":true},{"name":"Ahmed Bouferguène","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04079785253270803,"gpt":0.2696802578852627,"spread":0.2288824053525547,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007309515,0.001023024,0.001364003,0.004274519,0.0004273867,0.001341766,0.001089529,0.001010925,0.0008739471],"category_scores_gemma":[0.0145115,0.0002724345,0.00127337,0.004507269,0.0002577748,0.002217918,0.0007041513,0.0009827,0.0002918841],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001212398,"about_ca_system_score_gemma":0.001118954,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006681898,"about_ca_topic_score_gemma":0.004145139,"domain_scores_codex":[0.9972947,0.0009845704,0.0003263918,0.0003236594,0.0009506541,0.000120064],"domain_scores_gemma":[0.9861695,0.01097117,0.0003896976,0.0005752724,0.001784779,0.0001095975],"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":[0.0004940244,0.0005362462,0.02499148,0.0006992375,0.0005456995,0.00009180935,0.0001063438,0.3706862,0.0007399904,0.004893007,0.003854863,0.5923612],"study_design_scores_gemma":[0.00002054969,0.0002021027,0.005885327,0.00008388026,0.0001018573,0.00008042534,0.0001030704,0.987636,0.001187336,0.002503372,0.002178443,0.00001765654],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4063534,0.06063368,0.5087382,0.003470901,0.0004505696,0.0005174768,0.002104068,0.001984306,0.01574737],"genre_scores_gemma":[0.7588422,0.01527266,0.2214936,0.0002409094,0.0001374484,0.0002239163,0.002401,0.00008991864,0.001298377],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007309515,"threshold_uncertainty_score":0.03865683,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3005482573","doi":"10.1061/(asce)wr.1943-5452.0001076","title":"Reservoir Operation Optimized for Hydropower Production Reduces Conflict with Traditional Water Uses in the Senegal River","year":2020,"lang":"en","type":"article","venue":"Journal of Water Resources Planning and Management","topic":"Water resources management and optimization","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of British Columbia","funders":"","keywords":"Hydropower; Flood myth; Production (economics); Water resource management; Environmental science; Irrigation; Downstream (manufacturing); Drawdown (hydrology); Hydrology (agriculture); Drainage basin; Hydroelectricity; Floodplain; Civil engineering; Engineering; Groundwater; Geography; Operations management; Economics","authors":[{"name":"Luciano Raso","is_ca":false},{"name":"Jean‐Claude Bader","is_ca":false},{"name":"Steven Weijs","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03388869444701036,"gpt":0.2168145825987424,"spread":0.1829258881517321,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007484201,0.0006793885,0.0005422258,0.0005209622,0.0002597616,0.001016522,0.0003390793,0.0003741632,0.001417393],"category_scores_gemma":[0.001444994,0.0002214762,0.0003117393,0.0004885943,0.0004243368,0.0005503272,0.0005647328,0.0003000008,0.00006946213],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008218689,"about_ca_system_score_gemma":0.001080076,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01551206,"about_ca_topic_score_gemma":0.01979551,"domain_scores_codex":[0.9997037,0.0001282772,0.0000103963,0.0000316784,0.00002088603,0.0001050786],"domain_scores_gemma":[0.9995877,0.0002123872,0.0000801734,0.00002067892,0.00005329781,0.00004579379],"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":[0.0004355092,0.000169229,0.005231027,0.00006494058,0.00009403572,0.0003330402,0.00004321468,0.9735173,0.00831017,0.001861848,0.0002866554,0.009653066],"study_design_scores_gemma":[0.00007284212,0.0006473209,0.01025259,0.00001924188,0.0001205659,0.0000564126,0.0004361008,0.9814553,0.005604466,0.0008649738,0.0004404096,0.00002981616],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.994108,0.00008284926,0.003236454,0.00008189247,0.000006024151,0.0000160724,0.00005976419,0.00002740293,0.002381467],"genre_scores_gemma":[0.9990214,0.00003581683,0.0006638099,0.000009331437,6.384443e-7,0.000007317779,0.00001710131,0.000005125597,0.0002394373],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01551206,"threshold_uncertainty_score":0.0308435,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1995761515","doi":"10.1061/(asce)0733-9496(2009)135:6(547)","title":"Fuzzy-Logic Modeling of Risk Assessment for a Small Drinking-Water Supply System","year":2009,"lang":"en","type":"article","venue":"Journal of Water Resources Planning and Management","topic":"Water Systems and Optimization","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true},"ca_institutions":"University of Guelph","funders":"Canada Research Chairs","keywords":"Fault tree analysis; Fuzzy logic; Risk analysis (engineering); Computer science; Fuzzy set; Set (abstract data type); Water supply; Reliability engineering; Sensitivity (control systems); Process (computing); Decision tree; Engineering; Data mining; Business; Artificial intelligence; Environmental engineering","authors":[{"name":"Mi-Jin Lee","is_ca":true},{"name":"Edward A. McBean","is_ca":true},{"name":"Mirnader Ghazali","is_ca":true},{"name":"Corinne J. Schuster‐Wallace","is_ca":true},{"name":"Jinhui Jeanne Huang‬‬‬‬","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01343272255046572,"gpt":0.2145990230963186,"spread":0.2011663005458529,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007847052,0.000926669,0.0007465631,0.001036025,0.0009891414,0.00158215,0.001285912,0.001358563,0.004658195],"category_scores_gemma":[0.001723426,0.0004647822,0.0008603499,0.001065227,0.0009444093,0.001268965,0.0007747421,0.000963093,0.0002982805],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002390077,"about_ca_system_score_gemma":0.002065063,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04491804,"about_ca_topic_score_gemma":0.0338732,"domain_scores_codex":[0.9995958,0.0001594397,0.00001944981,0.0000497016,0.0001125929,0.00006302381],"domain_scores_gemma":[0.9992626,0.0004907401,0.00007715901,0.0000134116,0.0001128894,0.00004304993],"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":[0.00002006844,0.0000143839,0.0003162448,0.00001949133,0.000010804,0.00007626901,0.00004250316,0.9861356,0.000258344,0.01070439,0.0001412599,0.002260526],"study_design_scores_gemma":[0.000005265694,0.00001366776,0.0000837156,0.000003836837,0.000006249994,0.00001111006,0.00001969524,0.9953296,0.00006260102,0.004236578,0.000223043,0.000004564907],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1084016,0.000414768,0.8669033,0.0005070114,0.00005889381,0.0001845079,0.0005253793,0.0002408342,0.02276376],"genre_scores_gemma":[0.9352438,0.0003949213,0.05542678,0.00005344059,0.0000272214,0.0002057988,0.0001827674,0.00002919166,0.008436134],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04491804,"threshold_uncertainty_score":0.08931315,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1995781463","doi":"10.1061/(asce)0733-9496(2008)134:3(205)","title":"Hydrologic and Economic Implications of Climate Change for Typical River Basins of the Agricultural Midwestern United States","year":2008,"lang":"en","type":"article","venue":"Journal of Water Resources Planning and Management","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":16,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"U.S. Environmental Protection Agency","keywords":"Climate change; Agriculture; Environmental science; Precipitation; Productivity; Drainage basin; Streamflow; Effects of global warming; Irrigation; Hydrology (agriculture); Climate model; Agricultural productivity; Water resources; Water resource management; Geography; Global warming; Ecology; Geology; Meteorology","authors":[{"name":"Hua Xie","is_ca":false},{"name":"J. Wayland Eheart","is_ca":false},{"name":"Hyunhee An","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01726012917209076,"gpt":0.2105842977041703,"spread":0.1933241685320795,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003020047,0.00009745959,0.0001002562,0.0005802404,0.0004497699,0.0007173578,0.0001691056,0.0002461427,0.001068783],"category_scores_gemma":[0.0008658078,0.000108799,0.0001719225,0.00107719,0.0004412664,0.0004757974,0.0003689322,0.0002108117,0.00004514019],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002054457,"about_ca_system_score_gemma":0.0005560525,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1033673,"about_ca_topic_score_gemma":0.261891,"domain_scores_codex":[0.999898,0.00003517038,0.000005905557,0.00002009181,0.00001548168,0.00002537347],"domain_scores_gemma":[0.9997519,0.00007399783,0.00005338608,0.00001277494,0.0000613937,0.00004657336],"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":[0.0001851695,0.00008950095,0.9085181,0.00006135087,0.00009815686,0.0006399099,0.0005715052,0.05615072,0.004659633,0.003853408,0.00220982,0.02296258],"study_design_scores_gemma":[0.00001270891,0.00002769858,0.9762033,0.000016094,0.00002896094,0.00006474314,0.00109471,0.01865809,0.0003622883,0.001713115,0.001802753,0.00001558804],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9955498,0.0002201338,0.0002748056,0.00048321,0.000004349962,0.000007049086,0.0004506062,0.00001556676,0.002994542],"genre_scores_gemma":[0.9993637,0.0001677168,0.0001452465,0.00002238622,0.000003022851,0.000003747493,0.0001378245,0.000001660582,0.0001547768],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1033673,"threshold_uncertainty_score":0.2055312,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3109089233","doi":"10.1061/(asce)wr.1943-5452.0001368","title":"Reproducible Results Policy","year":2020,"lang":"en","type":"article","venue":"Journal of Water Resources Planning and Management","topic":"Scientific Computing and Data Management","field":"Decision Sciences","cited_by":15,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Queen's University","funders":"","keywords":"Computer science; Environmental science; Business; Economics; Environmental planning; Environmental economics","authors":[{"name":"David E. Rosenberg","is_ca":false},{"name":"Amber Spackman Jones","is_ca":false},{"name":"Yves Filion","is_ca":true},{"name":"Rebecca Teasley","is_ca":false},{"name":"Samuel Sandoval-Solís","is_ca":false},{"name":"James H. Stagge","is_ca":false},{"name":"Adel Abdallah","is_ca":false},{"name":"Anthony M. Castronova","is_ca":false},{"name":"Avi Ostfeld","is_ca":false},{"name":"David Watkins","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1470853153173189,"gpt":0.3688125940067323,"spread":0.2217272786894134,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.3913982,0.002750944,0.004423932,0.01187831,0.0107632,0.03884408,0.01478436,0.03547352,0.1456027],"category_scores_gemma":[0.6507298,0.005009498,0.00778606,0.01443818,0.01349028,0.03212427,0.01659473,0.02334373,0.105052],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0157964,"about_ca_system_score_gemma":0.1060187,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006718202,"about_ca_topic_score_gemma":0.005218924,"domain_scores_codex":[0.5024756,0.2367866,0.06547979,0.03920126,0.1347655,0.02129135],"domain_scores_gemma":[0.197547,0.3178273,0.02743867,0.2396174,0.1997025,0.01786706],"domain_codex":null,"domain_gemma":"reproducibility","domain_candidate":"reproducibility","domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0008421627,0.0003603651,0.001420098,0.001733377,0.0001965483,0.0005679107,0.002272211,0.00107485,0.001001815,0.4814166,0.4447632,0.06435081],"study_design_scores_gemma":[0.0004062797,0.0001805073,0.0008827448,0.001660299,0.00009078044,0.0003608504,0.000545987,0.001330292,0.001826256,0.1010108,0.891512,0.0001932131],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.003429925,0.002097612,0.2548261,0.09888158,0.02605887,0.02282891,0.01583038,0.0125399,0.5635067],"genre_scores_gemma":[0.08988756,0.003067828,0.3787648,0.1279482,0.01222449,0.04884825,0.01976182,0.01094878,0.3085485],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6086018,"threshold_uncertainty_score":0.7505144,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2777472498","doi":"10.1061/(asce)wr.1943-5452.0000875","title":"PADDS Algorithm Assessment for Biobjective Water Distribution System Benchmark Design Problems","year":2017,"lang":"en","type":"article","venue":"Journal of Water Resources Planning and Management","topic":"Water Systems and Optimization","field":"Engineering","cited_by":14,"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":"Directorate for Mathematical and Physical Sciences","keywords":"Benchmark (surveying); Selection (genetic algorithm); Pareto principle; Mathematical optimization; Multi-objective optimization; Computer science; Algorithm; Evolutionary algorithm; Mathematics; Machine learning","authors":[{"name":"Mohammadamin Jahanpour","is_ca":true},{"name":"Bryan A. Tolson","is_ca":false},{"name":"Juliane Mai","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01447261376873414,"gpt":0.2300720127939974,"spread":0.2155993990252632,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004175658,0.001649749,0.0009047652,0.002630408,0.0005106472,0.00139186,0.001524236,0.001521183,0.002317847],"category_scores_gemma":[0.008707325,0.0003849179,0.001015574,0.001589051,0.0006350466,0.000786258,0.001027156,0.0010533,0.0002123621],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00168261,"about_ca_system_score_gemma":0.002026367,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005566738,"about_ca_topic_score_gemma":0.005568705,"domain_scores_codex":[0.9985815,0.0007002689,0.00008839907,0.0001282775,0.0004012679,0.0001002018],"domain_scores_gemma":[0.9949752,0.003640752,0.0002197144,0.0002086429,0.0008415611,0.0001141831],"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":[0.00005964341,0.00006281758,0.0009113771,0.0001299393,0.00003429276,0.00002737357,0.00001958894,0.9645493,0.0003152974,0.002178572,0.0007517291,0.03096017],"study_design_scores_gemma":[0.00002269674,0.00007464769,0.0002238595,0.00001826011,0.000008971116,0.00001106224,0.00002197013,0.9970552,0.0007393859,0.001026285,0.0007925095,0.000005114553],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3469185,0.003698566,0.6177375,0.001038269,0.0003009011,0.0006637104,0.001104875,0.001421841,0.02711588],"genre_scores_gemma":[0.6074272,0.0008225785,0.385628,0.0001805659,0.00003690181,0.0007681831,0.001443422,0.0001468265,0.003546139],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005566738,"threshold_uncertainty_score":0.02208328,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4387732344","doi":"10.1061/jwrmd5.wreng-6090","title":"How to Model an Intermittent Water Supply: Comparing Modeling Choices and Their Impact on Inequality","year":2023,"lang":"en","type":"article","venue":"Journal of Water Resources Planning and Management","topic":"Water Systems and Optimization","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Hudbay Minerals (Canada); University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Economics; Water supply; Inequality; Environmental science; Natural resource economics; Econometrics; Environmental economics; Mathematics; Environmental engineering","authors":[{"name":"Omar Abdelazeem","is_ca":true},{"name":"David Meyer","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03754018866994906,"gpt":0.2535922227173154,"spread":0.2160520340473663,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00243098,0.000832204,0.0005670611,0.0005936468,0.000475665,0.00145934,0.001209221,0.0008540807,0.002172765],"category_scores_gemma":[0.01265131,0.0003342942,0.000976016,0.0006930494,0.0007626194,0.002532078,0.0009792728,0.001243994,0.000147038],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001653021,"about_ca_system_score_gemma":0.00147539,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02972044,"about_ca_topic_score_gemma":0.0251607,"domain_scores_codex":[0.9990664,0.0005035063,0.00004816769,0.0001509464,0.0001351699,0.00009589471],"domain_scores_gemma":[0.9923378,0.006101095,0.0004878186,0.0003872498,0.0005356224,0.0001503832],"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":[0.0001425065,0.00009512683,0.0125331,0.0001753099,0.00007264901,0.00004439006,0.0001995086,0.9613039,0.0005852398,0.01147019,0.0007209689,0.01265707],"study_design_scores_gemma":[0.00002521666,0.00005854066,0.001698246,0.0000476588,0.00003025341,0.00001010217,0.0001897486,0.9895168,0.0006098087,0.006904047,0.0008941913,0.00001531993],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.8056179,0.0005156781,0.1762663,0.001767517,0.0000827109,0.0001667018,0.002179533,0.0003807523,0.01302292],"genre_scores_gemma":[0.9484526,0.0003691989,0.04872304,0.0001645439,0.00001821188,0.0002060054,0.0009620791,0.0001264817,0.0009779289],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.02972044,"threshold_uncertainty_score":0.05909485,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2120949859","doi":"10.1061/(asce)wr.1943-5452.0000492","title":"Inexact Probabilistic Optimization Model and Its Application to Flood Diversion Planning in a Dynamic and Uncertain Environment","year":2014,"lang":"en","type":"article","venue":"Journal of Water Resources Planning and Management","topic":"Water resources management and optimization","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Regina","funders":"Natural Sciences and Engineering Research Council of Canada; National Science Foundation","keywords":"Probabilistic logic; Flood myth; Mathematical optimization; Variety (cybernetics); Stochastic programming; Dynamic programming; Computer science; Function (biology); Operations research; Boundary (topology); Dual (grammatical number); Flood risk management; Mathematics; Artificial intelligence","authors":[{"name":"Shuo Wang","is_ca":true},{"name":"Guohe Huang","is_ca":true},{"name":"Yang Zhou","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.007074936027263021,"gpt":0.1929693459982697,"spread":0.1858944099710067,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001237494,0.0007868062,0.001010032,0.0004588416,0.0003664049,0.001126779,0.001099497,0.001146522,0.001368443],"category_scores_gemma":[0.003195191,0.0006689187,0.000797197,0.000674134,0.0008800115,0.001008887,0.0008556141,0.001446153,0.0001166943],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007672149,"about_ca_system_score_gemma":0.001235704,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007238645,"about_ca_topic_score_gemma":0.003775709,"domain_scores_codex":[0.9993657,0.0002902818,0.00002755696,0.00008991687,0.0001609838,0.0000656576],"domain_scores_gemma":[0.9985321,0.001005299,0.0002432226,0.00005159302,0.000124083,0.00004379745],"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":[0.000005405221,0.000002744148,0.00005025151,0.000007269172,0.000003507473,0.0000159441,0.00000449965,0.9964901,0.0000780618,0.002327463,0.00002892063,0.0009858508],"study_design_scores_gemma":[9.068534e-7,0.000004583741,0.00001646448,8.376447e-7,0.000001446592,0.000003547158,0.00000114857,0.999289,0.00003726872,0.0005950135,0.00004837884,0.000001248968],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02379586,0.0002136255,0.9730909,0.000229439,0.00002406906,0.00002576072,0.00005518907,0.0001006232,0.002464474],"genre_scores_gemma":[0.8760671,0.000580455,0.1195302,0.00007582378,0.00004112074,0.0001721357,0.0001002127,0.00004369735,0.003389181],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007238645,"threshold_uncertainty_score":0.01439303,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2974813952","doi":"10.1061/(asce)wr.1943-5452.0001124","title":"Mechanical and Hydraulic Reliability Estimators for Water Distribution Systems","year":2019,"lang":"en","type":"article","venue":"Journal of Water Resources Planning and Management","topic":"Water Systems and Optimization","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Queen's University","funders":"","keywords":"Estimator; Reliability (semiconductor); Benchmark (surveying); Reliability engineering; Entropy (arrow of time); Computer science; Hydraulic machinery; Mathematical optimization; Mathematics; Statistics; Engineering","authors":[{"name":"D. Páez","is_ca":true},{"name":"Yves Filion","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.006327473381324241,"gpt":0.1941122310180118,"spread":0.1877847576366875,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003755108,0.0006073186,0.0006908492,0.001466588,0.0001992262,0.0006830593,0.0005629172,0.0006242575,0.0009182605],"category_scores_gemma":[0.01816093,0.0002293427,0.000453197,0.0008372077,0.0005443154,0.001342845,0.0007265994,0.0006458951,0.0001888032],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005658859,"about_ca_system_score_gemma":0.0005006772,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006949189,"about_ca_topic_score_gemma":0.000610375,"domain_scores_codex":[0.9981351,0.0008913872,0.00008674494,0.0002372111,0.0005844073,0.00006508182],"domain_scores_gemma":[0.9930083,0.004434029,0.001239517,0.0003852834,0.0008698308,0.0000631018],"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":[0.00006618447,0.00002987464,0.002140957,0.0001072279,0.00005065044,0.00002264247,0.00004063462,0.901572,0.003090617,0.02430357,0.0004495117,0.06812621],"study_design_scores_gemma":[0.000003938614,0.00005429115,0.001137222,0.0000150809,0.000008133261,0.00002658751,0.000007902507,0.9889819,0.001248818,0.007822189,0.0006829035,0.00001109588],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0161972,0.0004765609,0.981958,0.00006603363,0.00001706859,0.00002430537,0.00004260355,0.0001094264,0.001108703],"genre_scores_gemma":[0.8488201,0.0005495079,0.1488106,0.0000508093,0.00009411911,0.0001465052,0.0002712538,0.00004178442,0.001215241],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003755108,"threshold_uncertainty_score":0.01985914,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3028202307","doi":"10.1061/(asce)wr.1943-5452.0001251","title":"Effects of Relaxed Minimum Pipe Diameters on Fire Flow, Cost, and Water Quality Indicators in Drinking Water Distribution Networks","year":2020,"lang":"en","type":"article","venue":"Journal of Water Resources Planning and Management","topic":"Urban Stormwater Management Solutions","field":"Environmental Science","cited_by":12,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McMaster University; University of Toronto; St. Stephen's University","funders":"","keywords":"Environmental science; Capital cost; Work (physics); Flow (mathematics); Water flow; Fire protection; Service life; Environmental engineering; Civil engineering; Engineering; Mathematics; Mechanical engineering","authors":[{"name":"John Gibson","is_ca":true},{"name":"Bryan Karney","is_ca":true},{"name":"Yiping Guo","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01192758419814531,"gpt":0.2192780435434634,"spread":0.2073504593453181,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004469833,0.0005968175,0.0006704422,0.0006357748,0.0005175506,0.001271659,0.0009446286,0.0006957876,0.001870556],"category_scores_gemma":[0.02368987,0.000409483,0.0006910689,0.0006854557,0.0009766923,0.002271136,0.001101005,0.0008611308,0.0001192895],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002498781,"about_ca_system_score_gemma":0.0007926006,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009820643,"about_ca_topic_score_gemma":0.0144463,"domain_scores_codex":[0.9962599,0.001895619,0.0001690401,0.0003899371,0.0005121397,0.0007734488],"domain_scores_gemma":[0.9646689,0.0278762,0.003478605,0.001487268,0.001634694,0.0008544816],"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":[0.009282952,0.001463413,0.2581513,0.0003729381,0.000338297,0.0006638604,0.0004126226,0.6498835,0.02319581,0.00448377,0.00119067,0.05056082],"study_design_scores_gemma":[0.0003042778,0.01183744,0.6205666,0.0001361737,0.0006283622,0.0004855686,0.003108032,0.3231594,0.03068596,0.006621899,0.002261235,0.0002051956],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972042,0.0001136252,0.001362445,0.0001097483,0.0000105651,0.00001559814,0.0001297423,0.00002677716,0.00102715],"genre_scores_gemma":[0.9990261,0.00004025212,0.0006416761,0.00001637966,0.000003715358,0.00001150233,0.00008545121,0.000006943964,0.0001680651],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009820643,"threshold_uncertainty_score":0.02363896,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2008675256","doi":"10.1061/(asce)wr.1943-5452.0000261","title":"Parambikulam-Aliyar Project Operations Optimization with Reliability Constraints","year":2012,"lang":"en","type":"article","venue":"Journal of Water Resources Planning and Management","topic":"Water resources management and optimization","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Reliability (semiconductor); Computer science; Operations research; Reliability engineering; Mathematical optimization; Engineering; Mathematics","authors":[{"name":"Masoud Mahootchi","is_ca":false},{"name":"K. Ponnambalam","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01132851322736566,"gpt":0.2138785163581818,"spread":0.2025500031308161,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009850735,0.0008655525,0.001053362,0.0004983321,0.0004224195,0.0008361795,0.0007292907,0.0007062478,0.002069521],"category_scores_gemma":[0.002017734,0.000497569,0.001094533,0.0008322281,0.0004305817,0.0009055548,0.001063606,0.001518523,0.0002033188],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006082176,"about_ca_system_score_gemma":0.002036963,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005326227,"about_ca_topic_score_gemma":0.005445015,"domain_scores_codex":[0.9994364,0.0002560104,0.00002936104,0.00007530081,0.0001367908,0.00006613913],"domain_scores_gemma":[0.9990465,0.0006611996,0.0001054757,0.00004553068,0.00009790477,0.00004331479],"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":[0.00002306778,0.00001766829,0.0002992705,0.00004105278,0.0000172887,0.00007111301,0.00001454511,0.9830393,0.000581484,0.005519838,0.0002794199,0.01009603],"study_design_scores_gemma":[0.00001016193,0.00005443348,0.0002281721,0.000005943067,0.00001066347,0.00003831536,0.000009786508,0.9948995,0.0007901489,0.00321637,0.0007282661,0.000008300079],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0792196,0.0004708995,0.9108769,0.0005166333,0.00007899041,0.00008551462,0.0001777555,0.0002031868,0.008370506],"genre_scores_gemma":[0.8157854,0.0005923794,0.1764331,0.00009425212,0.00005855769,0.0002393157,0.0002455991,0.0001123637,0.006439073],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005326227,"threshold_uncertainty_score":0.01059049,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3004433568","doi":"10.1061/(asce)wr.1943-5452.0001191","title":"Real-Time Operation of Water-Supply Canal Systems under Limited Electrical Power and/or Water Availability","year":2020,"lang":"en","type":"article","venue":"Journal of Water Resources Planning and Management","topic":"Water Systems and Optimization","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Stantec (Canada)","funders":"","keywords":"Interdependence; Water supply; Electric power system; Electric power; Engineering; Electricity generation; Computer science; Power (physics); Environmental engineering","authors":[{"name":"Puneet Khatavkar","is_ca":true},{"name":"Larry W. Mays","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01130115360587675,"gpt":0.1974193732591501,"spread":0.1861182196532734,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003952949,0.0004223518,0.0004490697,0.0003337713,0.0004101426,0.0007384022,0.000384742,0.0005283149,0.001894268],"category_scores_gemma":[0.001262832,0.0001897272,0.0003250281,0.0002884601,0.000438538,0.0004288666,0.0004531618,0.0003655684,0.0001392887],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009827797,"about_ca_system_score_gemma":0.0008024922,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01936148,"about_ca_topic_score_gemma":0.01234572,"domain_scores_codex":[0.9997706,0.00007699207,0.00001160623,0.00004285532,0.00005263086,0.00004530769],"domain_scores_gemma":[0.9993755,0.0003603804,0.0001092374,0.00002665376,0.00008582458,0.00004246458],"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":[0.0001288806,0.00002700733,0.001568933,0.00002731005,0.00001355312,0.0000886207,0.00003402423,0.9916175,0.003141564,0.0003856533,0.0001609465,0.002805981],"study_design_scores_gemma":[0.000007164195,0.0000376572,0.0005716585,0.000001005115,0.000003947313,0.000005386401,0.00001702268,0.9983961,0.0007598058,0.000113571,0.00008268314,0.000004036533],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9501187,0.000114922,0.04263249,0.0002252198,0.00001975366,0.00006562489,0.0003410954,0.0005863984,0.005895866],"genre_scores_gemma":[0.9984414,0.00001830088,0.001009662,0.000004202139,0.000001036289,0.000013911,0.00004582025,0.000005949914,0.0004597117],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01936148,"threshold_uncertainty_score":0.03849763,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3088446125","doi":"10.1061/(asce)wr.1943-5452.0001297","title":"Performance Assessment Framework for Small Water Systems: Case Study in British Columbia","year":2020,"lang":"en","type":"article","venue":"Journal of Water Resources Planning and Management","topic":"Water Quality and Pollution Assessment","field":"Environmental Science","cited_by":11,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"Université Laval; University of British Columbia; Okanagan University College; University of British Columbia, Okanagan Campus","funders":"","keywords":"Performance indicator; Water quality; Performance management; Performance measurement; Environmental resource management; Operations management; Environmental science; Computer science; Environmental planning; Business; Engineering","authors":[{"name":"Sarin Raj Pokhrel","is_ca":true},{"name":"Gyan Chhipi‐Shrestha","is_ca":true},{"name":"James Hager","is_ca":true},{"name":"Manuel J. Rodríguez","is_ca":true},{"name":"Kasun Hewage","is_ca":true},{"name":"Rehan Sadiq","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04137785986057938,"gpt":0.2810764669846578,"spread":0.2396986071240784,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004198185,0.0006818827,0.0003862714,0.003818831,0.002929125,0.004360431,0.001427082,0.000882017,0.001936224],"category_scores_gemma":[0.007166472,0.0001848822,0.000336825,0.006963439,0.002284735,0.001143708,0.00163689,0.0008626505,0.0001476838],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03752092,"about_ca_system_score_gemma":0.02786972,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8732202,"about_ca_topic_score_gemma":0.8972887,"domain_scores_codex":[0.9964897,0.001564713,0.0001618015,0.0002783231,0.0009828837,0.0005225882],"domain_scores_gemma":[0.9942826,0.002153419,0.0003937931,0.0001701524,0.002611007,0.0003890357],"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":[0.0003472987,0.001111098,0.1490309,0.001053849,0.0001496458,0.00605328,0.0304497,0.3074654,0.006802304,0.2041009,0.01690131,0.2765343],"study_design_scores_gemma":[0.0001218969,0.0005152968,0.1638386,0.0009343169,0.0001393509,0.0008367977,0.1035694,0.5929466,0.002901596,0.04185049,0.0920971,0.0002486153],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7547944,0.001813554,0.1089721,0.006288563,0.00005122627,0.002218239,0.001577413,0.0003129263,0.1239716],"genre_scores_gemma":[0.9618611,0.0004726604,0.03142416,0.0001054635,0.000009008566,0.0003026749,0.0003336057,0.00001612888,0.005475111],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1267798,"threshold_uncertainty_score":0.2722346,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4224115552","doi":"10.1061/(asce)wr.1943-5452.0001567","title":"Identifying Functional Flow Regimes and Fish Response for Multiple Reservoir Operating Solutions","year":2022,"lang":"en","type":"article","venue":"Journal of Water Resources Planning and Management","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":11,"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":"Flexibility (engineering); Flow (mathematics); Ecosystem; Environmental science; Process (computing); Ecology; Environmental resource management; Computer science; Economics","authors":[{"name":"Ana Paula Dalcin","is_ca":false},{"name":"Guilherme Fernandes Marques","is_ca":false},{"name":"Anielly Galego de Oliveira","is_ca":false},{"name":"Amaury Tilmant","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03305959944048566,"gpt":0.2397080702614668,"spread":0.2066484708209811,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001348825,0.0003991359,0.0002532032,0.0005580593,0.0002338643,0.0005467231,0.0002947637,0.0005307184,0.001513408],"category_scores_gemma":[0.005869878,0.0001738734,0.0003650438,0.0002119181,0.0003015806,0.001261564,0.0004922764,0.0004124139,0.00006465062],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00065473,"about_ca_system_score_gemma":0.0004675894,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003049812,"about_ca_topic_score_gemma":0.005207693,"domain_scores_codex":[0.9997565,0.00007214709,0.00001538268,0.00005609975,0.00002836397,0.00007144473],"domain_scores_gemma":[0.9980287,0.001307007,0.0003197787,0.00007493374,0.0001519744,0.0001176113],"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":[0.0004534962,0.0003343165,0.07431432,0.00006718388,0.00009434989,0.0001456439,0.00008434884,0.8827536,0.00619428,0.00231582,0.0002861316,0.03295638],"study_design_scores_gemma":[0.00000476271,0.0001620361,0.01183053,0.000005963223,0.00001800811,0.00001687861,0.00007944772,0.9856052,0.001043404,0.001161246,0.0000633349,0.000009188404],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9853815,0.00003384039,0.01366692,0.00008192268,0.000005179411,0.00002582007,0.00005095989,0.00002393107,0.0007299135],"genre_scores_gemma":[0.9978262,0.00001045375,0.001914998,0.000005575615,0.000001387837,0.00001409072,0.00003083271,0.000002086098,0.0001943775],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003049812,"threshold_uncertainty_score":0.007133365,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4385549909","doi":"10.1061/jwrmd5.wreng-5896","title":"Review of Critical Factors Affecting the Failure of Water Pipeline Infrastructure","year":2023,"lang":"en","type":"article","venue":"Journal of Water Resources Planning and Management","topic":"Water Systems and Optimization","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McGill University","funders":"","keywords":"Pipeline transport; Urbanization; Environmental science; Water supply; Pipeline (software); Water resource management; Population; Risk analysis (engineering); Environmental resource management; Natural resource economics; Business; Environmental engineering; Computer science; Economics","authors":[{"name":"Zainab Almheiri","is_ca":true},{"name":"Mohamed A. Meguid","is_ca":true},{"name":"Tarek Zayed","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01003709528662851,"gpt":0.230742377345581,"spread":0.2207052820589525,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008089206,0.001663536,0.004989556,0.01125052,0.0005682007,0.001894306,0.001794597,0.001445818,0.003223593],"category_scores_gemma":[0.03006555,0.000880686,0.008223978,0.009332447,0.0007261144,0.001453966,0.0009843713,0.0007806416,0.0003115967],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00251797,"about_ca_system_score_gemma":0.01024628,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009229702,"about_ca_topic_score_gemma":0.01982261,"domain_scores_codex":[0.9951834,0.00156453,0.001898911,0.0003954947,0.0008364489,0.0001212258],"domain_scores_gemma":[0.9705042,0.02084547,0.005220877,0.0004034937,0.002743205,0.0002827987],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002535965,0.00003957267,0.001660081,0.8577733,0.02041478,0.0002131705,0.0001869412,0.0004252818,0.0003592215,0.0005662577,0.003761637,0.1143461],"study_design_scores_gemma":[0.0002112025,0.0006192328,0.01475029,0.6982564,0.1947792,0.001205338,0.0003728404,0.0003686273,0.0007341743,0.001461929,0.08714108,0.0000996106],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0007943345,0.9980648,0.0002203068,0.0002478001,0.0001062372,0.00009440586,0.0002119096,0.000005200911,0.0002550734],"genre_scores_gemma":[0.00847797,0.9903669,0.0004713232,0.0002235673,0.00008351885,0.0001077698,0.000182972,0.000003701879,0.00008220159],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.01125052,"threshold_uncertainty_score":0.04278028,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}