{"meta":{"query_hash":"5f4cd75025c9","filters":{"venue":"International Journal of River Basin Management"},"cohort_total":24,"direct_labels_cover":0,"predictions_cover":24,"exported":24,"export_cap":100000,"truncated":false,"label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12"},"permalink":"https://metacan.xera.ac/q/5f4cd75025c9","api":"https://metacan.xera.ac/api/v1/cohort?venue=International+Journal+of+River+Basin+Management"},"results":[{"id":"W1974026252","doi":"10.1080/15715124.2006.9635288","title":"Two analytical approaches for quantifying physical habitat as a limit to aquatic ecosystems","year":2006,"lang":"en","type":"article","venue":"International Journal of River Basin Management","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Environmental science; Habitat; Ecosystem; Streamflow; Population; Aquatic ecosystem; Ecology; Watershed; Carrying capacity; Quantile regression; Quantile; Geography; Biology; Statistics; Mathematics; Drainage basin; Computer science","score_opus":0.03716552609715462,"score_gpt":0.2897695438659192,"score_spread":0.25260401776876457,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1974026252","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09718197,0.0009769686,0.89098144,0.0006035443,0.00002625257,0.00014332167,0.00041325873,0.00022714084,0.009446164],"genre_scores_gemma":[0.8297155,0.00097515504,0.16609234,0.00014876183,0.000053159794,0.00035159825,0.00022571406,0.000071788214,0.0023659416],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.998321,0.0007663116,0.00006825313,0.00022595943,0.00043353048,0.00018480266],"domain_scores_gemma":[0.9937186,0.0034934268,0.0013720358,0.00045692065,0.00079024024,0.00016878525],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0030708893,0.00093004445,0.00064579106,0.004454294,0.00047964024,0.0020868995,0.0017427149,0.00068414985,0.0021875114],"category_scores_gemma":[0.013230831,0.0005715254,0.0010070312,0.0026321784,0.0019255219,0.0021082265,0.0021565424,0.0007796706,0.00020482167],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006534303,0.00022197369,0.05184305,0.00033007952,0.00026415818,0.0002810743,0.00067445706,0.6441828,0.0045210808,0.21117659,0.0015052323,0.08493409],"study_design_scores_gemma":[0.000009038222,0.00014380702,0.020493994,0.00011863813,0.00006880951,0.00021303135,0.00064631156,0.8904258,0.0012910364,0.08147504,0.0050390535,0.000075402786],"about_ca_topic_score_codex":0.0124166785,"about_ca_topic_score_gemma":0.009146594,"teacher_disagreement_score":0.0124166785,"about_ca_system_score_codex":0.0022922603,"about_ca_system_score_gemma":0.0017810048,"threshold_uncertainty_score":0.02468884},"labels":[],"label_agreement":null},{"id":"W1977307647","doi":"10.1080/15715124.2014.963862","title":"The institutional design of river basin organizations – empirical findings from around the world","year":2014,"lang":"en","type":"article","venue":"International Journal of River Basin Management","topic":"Transboundary Water Resource Management","field":"Social Sciences","cited_by":28,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Business; Empirical research; Environmental resource management; Water resource management; Environmental science","score_opus":0.022786439833570628,"score_gpt":0.2942962621859621,"score_spread":0.27150982235239146,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1977307647","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9778299,0.0013934264,0.0010173,0.0014130722,0.000008561619,0.000027445823,0.00016277676,0.000007670547,0.018139778],"genre_scores_gemma":[0.9983923,0.00054818013,0.0003127693,0.000114975395,0.0000045003094,0.00001906239,0.000106939944,0.00000640794,0.0004949326],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99587315,0.0021108692,0.00028121742,0.00048726398,0.00085939356,0.00038803098],"domain_scores_gemma":[0.97967976,0.00856645,0.006289841,0.0019942187,0.002547036,0.00092270324],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0051830113,0.00010949334,0.00023463907,0.0033990669,0.0020579787,0.0037400902,0.0006975217,0.00048547503,0.0029667756],"category_scores_gemma":[0.01456589,0.0002268006,0.0001756794,0.0070561343,0.0050022705,0.0031537258,0.0037131489,0.00066468166,0.00018711321],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000096056494,0.00024315267,0.6101428,0.00034202295,0.00011650415,0.00036503418,0.22845808,0.00087745074,0.00062522,0.04525241,0.0036876078,0.10979367],"study_design_scores_gemma":[0.000014075602,0.000047239282,0.75383145,0.0005080993,0.000034067976,0.00013123125,0.21104789,0.0005765058,0.0002682438,0.004339146,0.029168656,0.00003329333],"about_ca_topic_score_codex":0.029596254,"about_ca_topic_score_gemma":0.05134991,"teacher_disagreement_score":0.029596254,"about_ca_system_score_codex":0.0028194394,"about_ca_system_score_gemma":0.0022447736,"threshold_uncertainty_score":0.058848023},"labels":[],"label_agreement":null},{"id":"W2015745099","doi":"10.1080/15715124.2011.565771","title":"A simplified direct method for finding optimal stable trapezoidal channels","year":2011,"lang":"en","type":"article","venue":"International Journal of River Basin Management","topic":"Dam Engineering and Safety","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University; Toronto Metropolitan University","funders":"","keywords":"Stability (learning theory); Channel (broadcasting); Sensitivity (control systems); Chart; Cross section (physics); Mathematical optimization; Optimal design; Flow (mathematics); Mathematics; Control theory (sociology); Computer science; Engineering; Statistics; Geometry","score_opus":0.02611782746624436,"score_gpt":0.26383107313025866,"score_spread":0.2377132456640143,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2015745099","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0031947477,0.00006681835,0.99406034,0.0000172311,0.000011405812,0.000042802174,0.000040727027,0.00015767099,0.0024082563],"genre_scores_gemma":[0.1491019,0.00018663869,0.84662056,0.00002619398,0.000013341384,0.00028701447,0.00012571324,0.00015169206,0.0034868014],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99985576,0.000029996867,0.000008796803,0.000033655982,0.000054879707,0.000016915998],"domain_scores_gemma":[0.99971265,0.00015161111,0.000023898236,0.000029930312,0.0000729331,0.000008877776],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033825485,0.00058923574,0.0008717904,0.0005224705,0.0004095581,0.0007396195,0.0007905561,0.00053066126,0.005700526],"category_scores_gemma":[0.0009697769,0.00047436683,0.0007172532,0.0004771588,0.00033184668,0.00047898528,0.000558563,0.0006664447,0.0009312433],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000046637728,0.000033959517,0.00045991392,0.0003205314,0.00002322588,0.00008953329,0.00011703029,0.81392133,0.013097719,0.025702221,0.0018035128,0.14438447],"study_design_scores_gemma":[0.00001082729,0.000016787879,0.000066274115,0.000010213153,0.0000067417704,0.000034810277,0.000014108473,0.9915714,0.0017965175,0.0037423025,0.0027224156,0.000007656713],"about_ca_topic_score_codex":0.0046906923,"about_ca_topic_score_gemma":0.0060348264,"teacher_disagreement_score":0.005700526,"about_ca_system_score_codex":0.00044331144,"about_ca_system_score_gemma":0.001261145,"threshold_uncertainty_score":0.019070148},"labels":[],"label_agreement":null},{"id":"W2019513440","doi":"10.1080/15715124.2007.9635323","title":"Monetary benefit sharing from dams: A few examples of financial partnerships with Indigenous communities in Québec (Canada)","year":2007,"lang":"en","type":"article","venue":"International Journal of River Basin Management","topic":"Hydropower, Displacement, Environmental Impact","field":"Social Sciences","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Innovation, Science and Economic Development Canada","funders":"University of Otago","keywords":"Damages; Redistribution (election); Indigenous; Business; Compensation (psychology); Finance; Financial compensation; Natural resource economics; Economics; Public economics; Environmental resource management; Environmental planning; Political science","score_opus":0.03213965904747903,"score_gpt":0.33258617760117387,"score_spread":0.30044651855369486,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2019513440","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.69855297,0.006583343,0.002779816,0.012289659,0.00018883568,0.0002848564,0.00041077493,0.00007495736,0.27883485],"genre_scores_gemma":[0.9742173,0.0016993233,0.0014227302,0.00056362717,0.000017053853,0.00003907182,0.00008177266,0.000011080962,0.021948032],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.99796605,0.0005900959,0.00003798856,0.00011073561,0.00041654345,0.0008787273],"domain_scores_gemma":[0.9965965,0.0009040029,0.00026099084,0.00014334053,0.0010546377,0.0010405114],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023574762,0.00024727883,0.0001721771,0.0015814368,0.016378893,0.0031111105,0.0016172349,0.0012975446,0.0063323295],"category_scores_gemma":[0.0039047939,0.00014687961,0.00024266326,0.0028652018,0.003405696,0.001225352,0.0029972685,0.00093683915,0.00019181901],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015278833,0.00031324098,0.07731221,0.001127288,0.00012319426,0.023715695,0.37994146,0.0024196652,0.002650105,0.20987193,0.049322676,0.25304982],"study_design_scores_gemma":[0.000027819819,0.0001104646,0.10496889,0.00067893555,0.00007112521,0.0029833762,0.31407103,0.0013362757,0.00068309734,0.0058115153,0.56915426,0.00010323589],"about_ca_topic_score_codex":0.93760544,"about_ca_topic_score_gemma":0.982307,"teacher_disagreement_score":0.06239456,"about_ca_system_score_codex":0.039343107,"about_ca_system_score_gemma":0.059986375,"threshold_uncertainty_score":0.28545552},"labels":[],"label_agreement":null},{"id":"W2021408664","doi":"10.1080/15715124.2014.903259","title":"A flood risk assessment for the City of Chilliwack on the Fraser River, British Columbia, Canada","year":2014,"lang":"en","type":"article","venue":"International Journal of River Basin Management","topic":"Flood Risk Assessment and Management","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of British Columbia; BGC Engineering (Canada)","funders":"U.S. Army Engineer Institute for Water Resources; U.S. Army Corps of Engineers","keywords":"Flood myth; Return period; Flooding (psychology); Dike; Flood risk assessment; Floodplain; Flood risk management; Flood mitigation; Preparedness; Hazard; Environmental science; 100-year flood; Water resource management; Geography; Environmental planning; Environmental resource management; Hydrology (agriculture); Engineering; Ecology; Geology; Archaeology","score_opus":0.0050916896497332975,"score_gpt":0.2168909148754256,"score_spread":0.2117992252256923,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2021408664","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9725476,0.0003634366,0.0011310193,0.0007544591,0.000012180905,0.00020317681,0.0056013335,0.000054091193,0.019332817],"genre_scores_gemma":[0.9867186,0.00035801504,0.0012195362,0.000059825983,0.0000033310448,0.000044226395,0.002336009,0.000013453191,0.009246883],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999514,0.0000630632,0.000017935716,0.000046173627,0.00022097451,0.00013782179],"domain_scores_gemma":[0.99917585,0.00008965406,0.00005869992,0.000022507313,0.00053445133,0.000118758515],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039053144,0.0006893658,0.00032061417,0.0018067335,0.0018696614,0.0020991575,0.0009918209,0.00061353587,0.0027661195],"category_scores_gemma":[0.0015787272,0.0002890696,0.0004261254,0.002511111,0.0003555991,0.0003990594,0.0007118356,0.0005444006,0.00024883554],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00053795014,0.00029817256,0.6231724,0.00029615505,0.00033631845,0.0030143468,0.0020653643,0.2672434,0.0023187525,0.0058683264,0.028066454,0.06678236],"study_design_scores_gemma":[0.000074316515,0.0002126593,0.75454384,0.00022409436,0.00019365788,0.00048123125,0.016128397,0.20484626,0.00093411264,0.0016212463,0.020567542,0.00017260907],"about_ca_topic_score_codex":0.9875667,"about_ca_topic_score_gemma":0.99401444,"teacher_disagreement_score":0.031036552,"about_ca_system_score_codex":0.031036552,"about_ca_system_score_gemma":0.020403521,"threshold_uncertainty_score":0.225187},"labels":[],"label_agreement":null},{"id":"W2045380808","doi":"10.1080/15715124.2003.9635213","title":"Developing habitat suitability criteria for water management: A case study","year":2003,"lang":"en","type":"article","venue":"International Journal of River Basin Management","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Conselho Nacional de Desenvolvimento Científico e Tecnológico","keywords":"Wetland; Habitat; Environmental science; Watershed; Esox; Hydrology (agriculture); Bioindicator; Water level; Marsh; Water quality; Ecology; Fishery; Pike; Geography; Fish <Actinopterygii>","score_opus":0.023566085722494058,"score_gpt":0.29768954430413924,"score_spread":0.27412345858164516,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2045380808","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96939206,0.000051427334,0.027385505,0.00010206169,0.000004664072,0.00027944095,0.00029676492,0.00005228639,0.0024358274],"genre_scores_gemma":[0.9525761,0.000042113454,0.04636587,0.000008988287,0.0000033605227,0.00013387075,0.00025133102,0.000008982648,0.0006093617],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993949,0.00034925976,0.000039186754,0.00004589818,0.00011884517,0.000051864827],"domain_scores_gemma":[0.99703085,0.0022314205,0.000156907,0.00013431057,0.00033043374,0.00011608888],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014661701,0.00035591808,0.0001978632,0.0015463665,0.0005952995,0.00068862375,0.0005059714,0.00046691595,0.0015230464],"category_scores_gemma":[0.0050264196,0.0001338802,0.00039824232,0.0017553938,0.00043634253,0.0005608623,0.0006143446,0.00025365673,0.00008170712],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000588233,0.0011950674,0.40605527,0.00033025563,0.00013919605,0.006174567,0.004005789,0.37338045,0.011802586,0.012922441,0.0040615974,0.1793446],"study_design_scores_gemma":[0.000102214515,0.0008706897,0.11434945,0.000053780783,0.000053698677,0.0007756721,0.0051644645,0.8591696,0.0092612775,0.0042495364,0.005890224,0.000059425245],"about_ca_topic_score_codex":0.029935824,"about_ca_topic_score_gemma":0.057523645,"teacher_disagreement_score":0.029935824,"about_ca_system_score_codex":0.0017433114,"about_ca_system_score_gemma":0.00084425654,"threshold_uncertainty_score":0.059523165},"labels":[],"label_agreement":null},{"id":"W2074527228","doi":"10.1080/15715124.2010.483209","title":"A multi-scale method for identifying groundwater exchanges sustaining critical thermal regimes in streams","year":2010,"lang":"en","type":"article","venue":"International Journal of River Basin Management","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada; Ministry of Education, India; Ministry of Earth Sciences; Ministry of Natural Resources","keywords":"Groundwater; STREAMS; Hydrology (agriculture); Environmental science; Surface water; Hyporheic zone; Scale (ratio); Sediment; Substrate (aquarium); Groundwater discharge; Geology; Groundwater flow; Aquifer; Geomorphology; Geography; Environmental engineering; Geotechnical engineering; Computer science","score_opus":0.021773755486467324,"score_gpt":0.3316937515207099,"score_spread":0.3099199960342426,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2074527228","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.35356882,0.00032638243,0.64143,0.000045246154,0.000017328444,0.00037793457,0.00062524725,0.0009421564,0.0026667954],"genre_scores_gemma":[0.59939224,0.00015331652,0.3990211,0.000018116316,0.000009636177,0.00024016533,0.00015410826,0.000040174178,0.0009710783],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99989116,0.00001260352,0.0000064822934,0.000041420204,0.000030995092,0.000017434058],"domain_scores_gemma":[0.99980646,0.000054281852,0.000041973857,0.000018574627,0.00005811337,0.000020543306],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026290098,0.00037231296,0.0002974802,0.0021810161,0.00043648685,0.0005301499,0.0004041167,0.00028754055,0.0010425389],"category_scores_gemma":[0.00055242097,0.00025077234,0.00022598705,0.0008675713,0.00026151174,0.00055589754,0.00039002995,0.0002071678,0.00014086884],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027175818,0.00014133258,0.07370815,0.00043149557,0.00007698974,0.0003323222,0.00067829486,0.028195169,0.53444666,0.0018624413,0.0006707369,0.3591847],"study_design_scores_gemma":[0.00006466239,0.0004381922,0.2913398,0.00007189237,0.0001644828,0.0008696526,0.0012292052,0.5896457,0.10537319,0.00435351,0.0062960847,0.00015358496],"about_ca_topic_score_codex":0.0093712965,"about_ca_topic_score_gemma":0.035623167,"teacher_disagreement_score":0.0093712965,"about_ca_system_score_codex":0.0006137456,"about_ca_system_score_gemma":0.0006889301,"threshold_uncertainty_score":0.018633544},"labels":[],"label_agreement":null},{"id":"W2586388353","doi":"10.1080/15715124.2017.1287710","title":"A revisit of different models for flow resistance in gravel-bed rivers and hydraulic flumes","year":2017,"lang":"en","type":"article","venue":"International Journal of River Basin Management","topic":"Hydrology and Sediment Transport Processes","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Northern British Columbia","funders":"","keywords":"Flume; Flow (mathematics); RADIUS; Hydraulics; Mathematics; Flow velocity; Range (aeronautics); Mechanics; Geotechnical engineering; Geology; Geometry; Computer science; Engineering; Thermodynamics; Physics","score_opus":0.011748547471745481,"score_gpt":0.24358173305280295,"score_spread":0.23183318558105748,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2586388353","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.10958048,0.0022163494,0.8817729,0.0008091351,0.0000750047,0.00008687737,0.00034678413,0.0007813105,0.0043311985],"genre_scores_gemma":[0.8066923,0.0045902473,0.17685527,0.00025561918,0.0002339505,0.00027456568,0.0006348436,0.00048526874,0.0099778855],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99879277,0.00033663248,0.00009563523,0.00032244035,0.00036378903,0.00008879582],"domain_scores_gemma":[0.99674404,0.0020961033,0.00034019153,0.0003717815,0.00039812416,0.00004966333],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024171649,0.00085952325,0.00093334,0.0013948414,0.000393379,0.0015337667,0.0031686525,0.0011413542,0.0011198651],"category_scores_gemma":[0.008146156,0.0008193022,0.00198025,0.0013158789,0.0010613636,0.0029486262,0.0007124192,0.0015950865,0.00048851606],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000031171534,0.00007748313,0.015176682,0.00016622907,0.00011873831,0.00018063777,0.00047808109,0.883992,0.0021260942,0.032864664,0.0011322177,0.063656054],"study_design_scores_gemma":[0.0000054756015,0.000024736115,0.0030292545,0.000032989716,0.000023159002,0.00010138731,0.000034521854,0.98728824,0.0006308016,0.0061812405,0.002616562,0.00003163728],"about_ca_topic_score_codex":0.014661917,"about_ca_topic_score_gemma":0.010270967,"teacher_disagreement_score":0.014661917,"about_ca_system_score_codex":0.001346967,"about_ca_system_score_gemma":0.0010787119,"threshold_uncertainty_score":0.029153109},"labels":[],"label_agreement":null},{"id":"W2769170638","doi":"10.1080/15715124.2017.1402776","title":"Impact of climate variability and wetland drainage on watershed response in depression dominated landscapes","year":2017,"lang":"en","type":"article","venue":"International Journal of River Basin Management","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Wetland; Watershed; Environmental science; Hydrology (agriculture); Land cover; Precipitation; Land use; Drainage; Flood myth; Climate change; Land use, land-use change and forestry; Geography; Ecology; Geology","score_opus":0.0065730728345088155,"score_gpt":0.2711516683047247,"score_spread":0.2645785954702159,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2769170638","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9996582,0.00001387891,0.00004536615,0.00000919683,5.728647e-7,9.973221e-7,0.000031299136,0.0000011948854,0.00023930403],"genre_scores_gemma":[0.999877,0.000011848542,0.00002781182,0.0000041124626,9.0520024e-7,8.5720535e-7,0.00003258208,7.1950933e-7,0.00004415032],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999821,0.000068885834,0.000009408256,0.000037250782,0.000025069883,0.0000384485],"domain_scores_gemma":[0.9994956,0.00020663565,0.00014633614,0.000030663898,0.00004640343,0.00007434437],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032140038,0.00006319116,0.000109255336,0.00025180206,0.00017184873,0.00042028283,0.0001122752,0.00012019939,0.0005900819],"category_scores_gemma":[0.0011516211,0.00006391124,0.0001212962,0.00029656469,0.00026887964,0.00019536057,0.00025823357,0.00013725409,0.000046506495],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009357255,0.000047717942,0.99027246,0.000007030776,0.000050520935,0.00013384844,0.0001785534,0.000995229,0.004086087,0.00007705661,0.00006156309,0.003996196],"study_design_scores_gemma":[8.0206195e-7,0.000025798365,0.9991015,6.489686e-7,0.0000044612298,0.000018089584,0.00011709833,0.00054110616,0.00011196417,0.000018187995,0.000059285638,0.0000011341065],"about_ca_topic_score_codex":0.009220301,"about_ca_topic_score_gemma":0.02584367,"teacher_disagreement_score":0.009220301,"about_ca_system_score_codex":0.000351936,"about_ca_system_score_gemma":0.00021856568,"threshold_uncertainty_score":0.018333256},"labels":[],"label_agreement":null},{"id":"W2789711576","doi":"10.1080/15715124.2018.1439496","title":"Lessons learned from past ice-jam floods concerning the challenges of flood mapping","year":2018,"lang":"en","type":"article","venue":"International Journal of River Basin Management","topic":"Flood Risk Assessment and Management","field":"Environmental Science","cited_by":34,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Environment and Climate Change Canada; Global Institute for Water Security; University of Saskatchewan","funders":"","keywords":"Flood myth; Flooding (psychology); Damages; Hazard; Natural hazard; 100-year flood; Environmental science; Hydrology (agriculture); Flood stage; Water resource management; Geography; Geology; Meteorology; Ecology; Archaeology","score_opus":0.05544387504328927,"score_gpt":0.29891851032583744,"score_spread":0.24347463528254817,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2789711576","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0994124,0.10857026,0.14434655,0.6103704,0.0035712218,0.00014874358,0.00059628964,0.00046955183,0.032514594],"genre_scores_gemma":[0.68468624,0.15419494,0.118795715,0.021002447,0.0073304246,0.00013255732,0.00038470223,0.00028809308,0.013184868],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.997675,0.0015194187,0.00013707997,0.00020639227,0.0003487064,0.00011330177],"domain_scores_gemma":[0.98159033,0.014171044,0.000493291,0.0007554831,0.002273552,0.00071624556],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.013464051,0.0007129666,0.0008957155,0.0014730905,0.0014313373,0.0042677317,0.0022062948,0.00285775,0.0031548429],"category_scores_gemma":[0.021160819,0.00036840854,0.0005759757,0.0012887138,0.004983239,0.008973221,0.0024089634,0.0041134907,0.00063351716],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000119594726,0.00015183122,0.02322366,0.0018406322,0.000100304365,0.0020887537,0.016726553,0.021745533,0.0011749197,0.08246453,0.05085577,0.799508],"study_design_scores_gemma":[0.000037858852,0.00039753778,0.020368958,0.0033830306,0.00006789042,0.0030840174,0.05063564,0.02083549,0.0019464924,0.5201177,0.3788508,0.00027458256],"about_ca_topic_score_codex":0.012927767,"about_ca_topic_score_gemma":0.021633048,"teacher_disagreement_score":0.013464051,"about_ca_system_score_codex":0.0016233643,"about_ca_system_score_gemma":0.001845324,"threshold_uncertainty_score":0.07120556},"labels":[],"label_agreement":null},{"id":"W2901599058","doi":"10.1080/15715124.2018.1546731","title":"Predicting the geometry of regime rivers using M5 model tree, multivariate adaptive regression splines and least square support vector regression methods","year":2018,"lang":"en","type":"article","venue":"International Journal of River Basin Management","topic":"Hydrology and Sediment Transport Processes","field":"Environmental Science","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Multivariate adaptive regression splines; Mars Exploration Program; Multivariate statistics; Hydrology (agriculture); Regression; Regression analysis; Support vector machine; Mathematics; Channel (broadcasting); Statistics; Mean squared error; Geology; Geometry; Bayesian multivariate linear regression; Geotechnical engineering; Engineering; Computer science; Physics","score_opus":0.02917865562821296,"score_gpt":0.3231994141871058,"score_spread":0.2940207585588928,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2901599058","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3032178,0.0005736614,0.69317555,0.00015140515,0.000043895536,0.00006212044,0.00040276608,0.0016363683,0.00073647214],"genre_scores_gemma":[0.85849464,0.00028352955,0.13927877,0.000039319475,0.000021981072,0.000084894105,0.00097420317,0.0000591667,0.0007634905],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994635,0.00019282933,0.00004568947,0.00012942296,0.000109932575,0.000058597336],"domain_scores_gemma":[0.9984952,0.00080500654,0.00023054598,0.00008678948,0.00032783128,0.000054601984],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001578259,0.0009048872,0.0009139486,0.0015566665,0.0002481688,0.00075461884,0.00090275455,0.000746354,0.0005887513],"category_scores_gemma":[0.0028993825,0.00035425866,0.0013980863,0.0013878477,0.00023939545,0.00075703353,0.00054899807,0.0009196032,0.00025287364],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009140689,0.00009872344,0.015314054,0.000060218616,0.000082729326,0.000083765204,0.000049765644,0.87625945,0.0025102615,0.0007132639,0.0007361654,0.10400021],"study_design_scores_gemma":[0.0000017836949,0.00001344404,0.0007840015,0.0000020586158,0.000003326548,0.00000474713,0.0000062132035,0.9987978,0.00017797935,0.00015036098,0.00005475465,0.000003485614],"about_ca_topic_score_codex":0.010437066,"about_ca_topic_score_gemma":0.008118405,"teacher_disagreement_score":0.010437066,"about_ca_system_score_codex":0.0003111087,"about_ca_system_score_gemma":0.0009224311,"threshold_uncertainty_score":0.020752668},"labels":[],"label_agreement":null},{"id":"W3003429050","doi":"10.1080/15715124.2020.1719120","title":"Ice in reservoirs and regulated rivers","year":2020,"lang":"en","type":"article","venue":"International Journal of River Basin Management","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Environment and Climate Change Canada; Manitoba Hydro","funders":"","keywords":"Environmental science; Hydrology (agriculture); Habitat; River regime; Water resource management; Ecology; Geology; Geomorphology; Sediment","score_opus":0.011082989107160837,"score_gpt":0.2136955428394248,"score_spread":0.20261255373226394,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3003429050","genre_codex":"review","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.21479201,0.4410417,0.02867214,0.015286489,0.0017444724,0.00010907695,0.00032096103,0.0001024263,0.29793063],"genre_scores_gemma":[0.8381812,0.13257523,0.0040978035,0.0019026058,0.0005608907,0.0000625246,0.00013474257,0.000028798491,0.022456145],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9995353,0.0001844422,0.000034038876,0.00006588755,0.000106619875,0.000073647556],"domain_scores_gemma":[0.9996215,0.00014090927,0.00012708666,0.000023738921,0.000054955344,0.000031829324],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00060380547,0.00009923909,0.00023691858,0.0005525121,0.0005104564,0.0017092339,0.00039947234,0.0006429232,0.0016618716],"category_scores_gemma":[0.00064717187,0.00011088723,0.00024592737,0.0008620626,0.0019341193,0.0016506332,0.00082218973,0.00055195205,0.00016877598],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011457796,0.00003696511,0.005178657,0.0016574071,0.000049616818,0.0013712499,0.004272965,0.002878423,0.004850879,0.86911,0.005633301,0.10484593],"study_design_scores_gemma":[0.000025432486,0.00018354048,0.015569343,0.0020959943,0.000087226836,0.0017352838,0.0043519917,0.0018170102,0.004498452,0.19832674,0.771244,0.000065119515],"about_ca_topic_score_codex":0.002295829,"about_ca_topic_score_gemma":0.0030020915,"teacher_disagreement_score":0.002295829,"about_ca_system_score_codex":0.000602942,"about_ca_system_score_gemma":0.0011549747,"threshold_uncertainty_score":0.005559504},"labels":[],"label_agreement":null},{"id":"W3138519120","doi":"10.1080/15715124.2021.1906261","title":"Early detection of riverine flooding events using the group method of data handling for the Bow River, Alberta, Canada","year":2021,"lang":"en","type":"article","venue":"International Journal of River Basin Management","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":33,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université Laval; University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada; Institute for Catastrophic Loss Reduction","keywords":"Flooding (psychology); Mean squared error; Overbank; Statistics; Flow (mathematics); Environmental science; Hydrology (agriculture); Meteorology; Computer science; Mathematics; Geology; Geography; Geotechnical engineering","score_opus":0.02542498892717465,"score_gpt":0.2823222969242768,"score_spread":0.25689730799710214,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3138519120","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9811652,0.00016711935,0.013234895,0.00023351911,0.00001685838,0.000089034824,0.0014861302,0.0007813877,0.002825995],"genre_scores_gemma":[0.97738373,0.00008684096,0.017747145,0.000021740014,0.0000037822645,0.000024860097,0.0023640213,0.00003048829,0.0023374804],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997106,0.000039483977,0.000012020121,0.000060968683,0.00012333997,0.000053572938],"domain_scores_gemma":[0.99947244,0.000108155116,0.00004532252,0.000029315992,0.000291199,0.000053608106],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00072317297,0.0004771347,0.00027836038,0.0009330564,0.00069490523,0.00054761494,0.00075926457,0.00026965188,0.0008849321],"category_scores_gemma":[0.0018568505,0.00016230327,0.00028337122,0.00090041274,0.0002756129,0.00034893828,0.0003889589,0.00037697217,0.00015694958],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00038756442,0.00037537195,0.41140124,0.00011127097,0.00013237617,0.00040039004,0.000613852,0.34289658,0.0069689658,0.0011830085,0.008807922,0.22672154],"study_design_scores_gemma":[0.00003167472,0.00005409011,0.12607792,0.00001504735,0.00002875012,0.000024291943,0.000478236,0.8681082,0.002715913,0.00027801137,0.002157548,0.000030232102],"about_ca_topic_score_codex":0.9601021,"about_ca_topic_score_gemma":0.9719221,"teacher_disagreement_score":0.03989792,"about_ca_system_score_codex":0.0050958567,"about_ca_system_score_gemma":0.01038262,"threshold_uncertainty_score":0.0802657},"labels":[],"label_agreement":null},{"id":"W3215896050","doi":"10.1080/15715124.2021.2007936","title":"Effects of climate change on river-ice processes and ice jams","year":2021,"lang":"en","type":"article","venue":"International Journal of River Basin Management","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":50,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Yukon University; Environment and Climate Change Canada","funders":"","keywords":"Climate change; Breakup; Environmental science; River ecosystem; Cryosphere; Flood myth; Climatology; Hydrology (agriculture); Geology; Sea ice; Habitat; Ecology; Geography; Oceanography","score_opus":0.008578770390901526,"score_gpt":0.2232414887812102,"score_spread":0.21466271839030868,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3215896050","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9690166,0.0040769516,0.0017526861,0.00212135,0.00014935843,0.00004469038,0.0028772957,0.000058264963,0.019902756],"genre_scores_gemma":[0.997013,0.0017770684,0.00019406463,0.00011696258,0.00005823166,0.000007455607,0.00032733343,0.000010097542,0.0004957566],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99975437,0.00010710678,0.000017878747,0.000034133725,0.00003161008,0.00005494761],"domain_scores_gemma":[0.998762,0.0004124742,0.00041211306,0.000056177832,0.00019111588,0.00016622654],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00066395645,0.0002093814,0.00021223616,0.00051970745,0.0004390562,0.001117452,0.00024240266,0.00044364098,0.0027267055],"category_scores_gemma":[0.0015223367,0.00009812766,0.00039135152,0.00096514646,0.0006610186,0.0006118783,0.00061305164,0.00030841332,0.00020358452],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007537855,0.0002567451,0.9257523,0.00038663347,0.00047270328,0.0009054829,0.0009827887,0.020830149,0.0059196395,0.0068993,0.0025294248,0.034311168],"study_design_scores_gemma":[0.000008301922,0.00014084649,0.98796034,0.00003385542,0.000070543,0.00011438634,0.00078695535,0.0025088375,0.0008112835,0.0012811916,0.0062599517,0.000023521496],"about_ca_topic_score_codex":0.008375577,"about_ca_topic_score_gemma":0.010140616,"teacher_disagreement_score":0.008375577,"about_ca_system_score_codex":0.00068275305,"about_ca_system_score_gemma":0.00034879358,"threshold_uncertainty_score":0.016653657},"labels":[],"label_agreement":null},{"id":"W4362640599","doi":"10.1080/15715124.2023.2200006","title":"Residential flood risk in Metro Vancouver due to climate change using probability boxes","year":2023,"lang":"en","type":"article","venue":"International Journal of River Basin Management","topic":"Flood Risk Assessment and Management","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Flood myth; Climate change; Environmental science; Geography; Water resource management; Hydrology (agriculture); Engineering; Archaeology; Geology; Geotechnical engineering","score_opus":0.021660912170276696,"score_gpt":0.2856626892476939,"score_spread":0.2640017770774172,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4362640599","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.987152,0.000087502514,0.010607009,0.00006360348,0.0000032165872,0.000024138651,0.00039887146,0.000045558434,0.0016181694],"genre_scores_gemma":[0.9982559,0.00004228086,0.0013008025,0.0000034743432,0.0000012601829,0.0000082922115,0.0001758946,0.0000023610926,0.00020963915],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995598,0.00017950461,0.000023016612,0.0000771253,0.00009275474,0.000067878296],"domain_scores_gemma":[0.99667823,0.0024025142,0.00034692857,0.00018600837,0.00027394525,0.00011228695],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016173135,0.00031385993,0.0002989142,0.0011817511,0.00044737023,0.0015104357,0.0006362346,0.00050693325,0.0009116104],"category_scores_gemma":[0.004632701,0.00022089998,0.00044613075,0.0010641868,0.0005945975,0.0005748985,0.0007464034,0.00036303297,0.0000672243],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001122864,0.000022464306,0.14916065,0.000023529596,0.00009897,0.00016412251,0.000141967,0.83970016,0.00035369737,0.0028729544,0.00026361283,0.007085554],"study_design_scores_gemma":[0.0000057274774,0.000019361602,0.060471963,0.000014039275,0.000017384218,0.000046783083,0.0002019425,0.93711966,0.00023846915,0.0014378289,0.00040329786,0.000023538418],"about_ca_topic_score_codex":0.49184296,"about_ca_topic_score_gemma":0.44736952,"teacher_disagreement_score":0.508157,"about_ca_system_score_codex":0.0029903583,"about_ca_system_score_gemma":0.0013357772,"threshold_uncertainty_score":0.9779602},"labels":[],"label_agreement":null},{"id":"W4377095902","doi":"10.1080/15715124.2023.2214866","title":"High-resolution assessment of riverbank erosion and stabilization techniques with associated water quality implications","year":2023,"lang":"en","type":"article","venue":"International Journal of River Basin Management","topic":"Soil erosion and sediment transport","field":"Agricultural and Biological Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Agri-Food and Biosciences Institute; Interreg; European Commission; Queen's University; Natural Environment Research Council; Queen's University Belfast","keywords":"Erosion; Sediment; Environmental science; Hydrology (agriculture); Water quality; Phosphorus; Nutrient; Lidar; Geology; Remote sensing; Geomorphology; Ecology","score_opus":0.02343267376613935,"score_gpt":0.2857734207891084,"score_spread":0.26234074702296906,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4377095902","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9290774,0.00040744574,0.06694949,0.00005636627,0.0000094553625,0.00009104132,0.0005344627,0.00022863176,0.0026458062],"genre_scores_gemma":[0.9568571,0.00019595362,0.041969433,0.000016145836,0.0000042226234,0.000043925742,0.00025662163,0.000013922763,0.0006426276],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99971443,0.000049814134,0.000020460297,0.0000532174,0.00013269903,0.000029332881],"domain_scores_gemma":[0.9995321,0.000093869035,0.00010410649,0.00005114027,0.00019761293,0.000021211257],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00070759177,0.00017081169,0.0002814423,0.000602529,0.00019197693,0.0005199361,0.000344841,0.00026881788,0.000563789],"category_scores_gemma":[0.0009900362,0.00014202905,0.0001470074,0.0006155954,0.00013832728,0.00040319603,0.00035777947,0.00020783792,0.00012517902],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025700583,0.00038135695,0.34559637,0.00033924152,0.0001775512,0.00030989794,0.00043369504,0.025540318,0.29251063,0.00057825074,0.0008080005,0.3330677],"study_design_scores_gemma":[0.000032168642,0.00036591588,0.8471246,0.000052948482,0.000073688636,0.00044230264,0.00046400528,0.10461621,0.042685434,0.00062011025,0.0034641095,0.000058443024],"about_ca_topic_score_codex":0.005174062,"about_ca_topic_score_gemma":0.01339757,"teacher_disagreement_score":0.005174062,"about_ca_system_score_codex":0.0003110841,"about_ca_system_score_gemma":0.00027195853,"threshold_uncertainty_score":0.010287881},"labels":[],"label_agreement":null},{"id":"W4391338139","doi":"10.1080/15715124.2024.2301935","title":"Determining ice-jam stage frequency distributions of an ungauged river reach using dendrogeomorphological data","year":2024,"lang":"en","type":"article","venue":"International Journal of River Basin Management","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Global Institute for Water Security; Alberta Environment and Protected Areas; University of Saskatchewan","funders":"Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada","keywords":"Stage (stratigraphy); Geology; Hydrology (agriculture); Environmental science; Geotechnical engineering","score_opus":0.07339554462735182,"score_gpt":0.3133601116024121,"score_spread":0.2399645669750603,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391338139","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9986964,0.000015783444,0.000490745,0.0000020478863,4.3998463e-7,0.0000056427384,0.00020552255,0.0000073066553,0.00057610625],"genre_scores_gemma":[0.9990746,0.000015928626,0.00044471386,7.0532377e-7,5.744587e-7,0.000006118771,0.0002993788,0.0000016865804,0.00015629455],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998727,0.000025692761,0.000014338139,0.000034758326,0.000028591285,0.000023996343],"domain_scores_gemma":[0.999313,0.00022241328,0.00020408875,0.00005670373,0.00012925755,0.000074557465],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026012395,0.000094659015,0.00009729894,0.001937659,0.00020271889,0.00039914803,0.0001319973,0.000108178836,0.00059172977],"category_scores_gemma":[0.0009635423,0.000070726695,0.00009542192,0.0010722562,0.00013584837,0.00026578087,0.0002961866,0.000074690506,0.00014962268],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006014257,0.000014829808,0.98905724,0.000010730702,0.000013811911,0.00005511193,0.0004458512,0.00069523684,0.0033869778,0.000091202266,0.000049852813,0.006119038],"study_design_scores_gemma":[8.7334615e-7,0.00003185716,0.99695826,0.000004088775,0.0000059691824,0.00006773204,0.0005370549,0.0015524763,0.0004903604,0.00003560565,0.00031199883,0.000003650928],"about_ca_topic_score_codex":0.0044386806,"about_ca_topic_score_gemma":0.017031524,"teacher_disagreement_score":0.0044386806,"about_ca_system_score_codex":0.00019198407,"about_ca_system_score_gemma":0.00013096485,"threshold_uncertainty_score":0.00882566},"labels":[],"label_agreement":null},{"id":"W4393162991","doi":"10.1080/15715124.2024.2329243","title":"Application of graph neural networks to forecast urban flood events: the case study of the 2013 flood of the Bow River, Calgary, Canada","year":2024,"lang":"en","type":"article","venue":"International Journal of River Basin Management","topic":"Flood Risk Assessment and Management","field":"Environmental Science","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Lakes Environmental (Canada); University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada; Conselho Nacional de Desenvolvimento Científico e Tecnológico","keywords":"Flood myth; Environmental science; Hydrology (agriculture); Water resource management; Geography; Geology; Archaeology; Geotechnical engineering","score_opus":0.004952860141047572,"score_gpt":0.22318651868699133,"score_spread":0.21823365854594376,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393162991","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97441113,0.00037671308,0.016653769,0.0008269541,0.00006978713,0.000060821316,0.0027807192,0.00076226477,0.004057769],"genre_scores_gemma":[0.9907438,0.00018282147,0.0062583406,0.000038203416,0.000008236885,0.0000108129725,0.0014979483,0.000020387282,0.0012394333],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99989927,0.000016296119,0.000005394285,0.000027800374,0.000023353825,0.000027869444],"domain_scores_gemma":[0.99968255,0.00014383513,0.000022360537,0.000016159694,0.00010490068,0.000030144938],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029102553,0.00073418656,0.0002966574,0.00079585164,0.00043927057,0.0005840403,0.00061394216,0.000416999,0.0007656173],"category_scores_gemma":[0.0013345452,0.00016030825,0.00028072225,0.00096321094,0.0003559449,0.00036380126,0.0003055181,0.00049327576,0.00007707375],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000051949268,0.000027274571,0.010458843,0.000030944655,0.00002639081,0.00013251713,0.000042516494,0.971132,0.0004265771,0.00046768083,0.0017197412,0.0154836215],"study_design_scores_gemma":[0.000004767668,0.000008032894,0.004015021,0.0000032216706,0.000007742151,0.000006329484,0.00007727167,0.994896,0.0002885519,0.0003471026,0.00034017017,0.0000058139576],"about_ca_topic_score_codex":0.85914063,"about_ca_topic_score_gemma":0.9053735,"teacher_disagreement_score":0.14085937,"about_ca_system_score_codex":0.004333493,"about_ca_system_score_gemma":0.0037000477,"threshold_uncertainty_score":0.28337777},"labels":[],"label_agreement":null},{"id":"W4399366521","doi":"10.1080/15715124.2024.2349020","title":"Environmental effects of river ice, The Saint John (Wolastoq) River, New Brunswick, Canada","year":2024,"lang":"en","type":"article","venue":"International Journal of River Basin Management","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Environment and Climate Change Canada; Government of New Brunswick; University of Fredericton","funders":"","keywords":"SAINT; River management; Hydrology (agriculture); Geography; Archaeology; Geology; Environmental science; Environmental resource management; History; Geotechnical engineering","score_opus":0.003080102911173958,"score_gpt":0.18015774424310527,"score_spread":0.1770776413319313,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399366521","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.68750167,0.09275454,0.0013950762,0.011290369,0.00069771067,0.00028842417,0.02362204,0.00013829509,0.18231197],"genre_scores_gemma":[0.89176625,0.0668183,0.0019470562,0.001158133,0.000052573072,0.00008345725,0.006587271,0.00005630894,0.031530574],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997907,0.000017324695,0.000011351719,0.000027880376,0.000085126536,0.00006768974],"domain_scores_gemma":[0.9994123,0.000024155575,0.000053166423,0.000006735286,0.0004358048,0.00006792959],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026330934,0.0002522952,0.0001847717,0.0008956421,0.0019634052,0.0015820783,0.00036304977,0.00014824374,0.002731881],"category_scores_gemma":[0.0005043744,0.000111713794,0.00019530619,0.0026400515,0.00053828233,0.00029195094,0.00055685977,0.00049711135,0.00020862333],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00030302256,0.00014190438,0.6051009,0.002266681,0.0004170315,0.0021772757,0.005595654,0.0040991986,0.0075123855,0.011987147,0.0883517,0.27204713],"study_design_scores_gemma":[0.0000127877565,0.00002859582,0.8190729,0.0006143717,0.00009534868,0.00023861726,0.0072069094,0.00053175696,0.0010942342,0.000572001,0.1704848,0.000047723945],"about_ca_topic_score_codex":0.9905219,"about_ca_topic_score_gemma":0.99791926,"teacher_disagreement_score":0.020590477,"about_ca_system_score_codex":0.020590477,"about_ca_system_score_gemma":0.032373626,"threshold_uncertainty_score":0.14939505},"labels":[],"label_agreement":null},{"id":"W4406193170","doi":"10.1080/15715124.2024.2445236","title":"Applicability of reanalysis data in calibrating a hydrological model in a data-scarce mountainous watershed","year":2025,"lang":"en","type":"article","venue":"International Journal of River Basin Management","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Science and Engineering Research Board","keywords":"Hydrometeorology; Watershed; Environmental science; Water balance; Hydrology (agriculture); Surface runoff; Hydrological modelling; Distributed element model; Calibration; Land cover; Precipitation; Climate model; Climate change; Land use; Climatology; Meteorology; Geology; Computer science; Geography; Ecology","score_opus":0.026374115077457704,"score_gpt":0.29506824399361203,"score_spread":0.26869412891615435,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406193170","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95278925,0.00029543333,0.042381503,0.00024789287,0.000029427662,0.000088194414,0.0013514113,0.00030208763,0.0025147493],"genre_scores_gemma":[0.9808158,0.00012360101,0.018246863,0.000029086907,0.00000713663,0.000041266852,0.00060450187,0.000023252067,0.00010841647],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993062,0.0003735268,0.000046550642,0.00012202185,0.000108115884,0.00004354289],"domain_scores_gemma":[0.998176,0.0008509379,0.00015772655,0.00046763194,0.0002963095,0.00005142561],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023170842,0.00034664746,0.0003183672,0.0004902418,0.0003109634,0.000869657,0.0005556218,0.00054377486,0.0004917866],"category_scores_gemma":[0.0059972643,0.0002464064,0.00046305225,0.00094121683,0.00029833167,0.0010339563,0.0005167003,0.00034987179,0.00012438763],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016015698,0.00019240128,0.16260237,0.00016428696,0.00034967987,0.00027361672,0.00023840208,0.76887935,0.0075979293,0.00226027,0.0005762638,0.056705337],"study_design_scores_gemma":[0.00006309353,0.00013395617,0.0907081,0.0000719031,0.000111641326,0.000072207375,0.0003061034,0.89944834,0.004714606,0.0017845823,0.0025323327,0.000053107997],"about_ca_topic_score_codex":0.013152471,"about_ca_topic_score_gemma":0.011932336,"teacher_disagreement_score":0.013152471,"about_ca_system_score_codex":0.00050027436,"about_ca_system_score_gemma":0.00076914346,"threshold_uncertainty_score":0.026151836},"labels":[],"label_agreement":null},{"id":"W4407040870","doi":"10.1080/15715124.2024.2440757","title":"Evaluating and improving the simulation of channel and reservoir processes for streamflow and water quality modelling in the Lake Erie watersheds","year":2025,"lang":"en","type":"article","venue":"International Journal of River Basin Management","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Ministry of the Environment, Conservation and Parks; University of Guelph","funders":"","keywords":"Streamflow; Environmental science; Channel (broadcasting); Hydrology (agriculture); Water quality; Dam removal; Geology; Sediment; Engineering; Geomorphology; Drainage basin; Geography; Geotechnical engineering; Ecology","score_opus":0.042308985050442824,"score_gpt":0.33169526971572866,"score_spread":0.2893862846652858,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407040870","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9939399,0.000044809512,0.004735151,0.000055225875,0.000005328302,0.000035492503,0.00011813134,0.00012049517,0.00094543205],"genre_scores_gemma":[0.9885534,0.00007777016,0.010619929,0.000012504322,0.0000018283683,0.0000227888,0.00018925319,0.000017762515,0.00050478487],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996934,0.00011623416,0.000023306946,0.000048393016,0.000057781817,0.00006085674],"domain_scores_gemma":[0.99916697,0.00037171197,0.0000777631,0.000052474432,0.00026978584,0.00006133549],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010736668,0.00054606335,0.00042492631,0.0002639576,0.00045362028,0.0010613787,0.0007321192,0.0005611949,0.00049222953],"category_scores_gemma":[0.0023608464,0.00033696805,0.00036751354,0.0004103307,0.00035154333,0.0008101248,0.00041392373,0.00040606645,0.000074425385],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000057516165,0.00011524298,0.01822243,0.000026690703,0.000030994404,0.00004435363,0.00006627353,0.9709063,0.0022069039,0.00035971473,0.00013192679,0.007831607],"study_design_scores_gemma":[0.000013055824,0.000047850175,0.0033668058,0.000003090266,0.000012592249,0.0000035406902,0.000036945577,0.9947037,0.0015624717,0.000053195843,0.00018898491,0.0000076709],"about_ca_topic_score_codex":0.3937361,"about_ca_topic_score_gemma":0.3912139,"teacher_disagreement_score":0.3937361,"about_ca_system_score_codex":0.0029125856,"about_ca_system_score_gemma":0.0048486087,"threshold_uncertainty_score":0.7828886},"labels":[],"label_agreement":null},{"id":"W4407291306","doi":"10.1080/15715124.2024.2444680","title":"Decomposing streamflow for improved river flow prediction accuracy of machine learning models","year":2025,"lang":"en","type":"article","venue":"International Journal of River Basin Management","topic":"Hydrological Forecasting Using AI","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada; Institute for Catastrophic Loss Reduction","keywords":"Streamflow; Stream flow; Flow (mathematics); Hydrology (agriculture); Environmental science; Machine learning; Computer science; Geology; Mathematics; Geotechnical engineering; Drainage basin; Geography; Cartography","score_opus":0.015601405879596549,"score_gpt":0.26150710934297056,"score_spread":0.245905703463374,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407291306","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.17159526,0.0007146042,0.8229161,0.00034614993,0.00007960882,0.000071733164,0.00027227655,0.0013758393,0.0026284184],"genre_scores_gemma":[0.8694044,0.0003417109,0.12822716,0.000091738104,0.000041103795,0.00008077519,0.0005898539,0.0000786886,0.0011445308],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99971896,0.00009941275,0.000019886835,0.000053460288,0.00006744499,0.000040807],"domain_scores_gemma":[0.99940133,0.00029472465,0.000051293286,0.00008233254,0.00013992046,0.000030399542],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011797037,0.00082023104,0.00061050564,0.0007052953,0.0002746366,0.0005649697,0.0005400767,0.0004583022,0.0012569693],"category_scores_gemma":[0.0030399498,0.00024175155,0.00044130048,0.000571356,0.00024359004,0.0009461905,0.000652587,0.00093013886,0.00033501655],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000110163186,0.00010343142,0.004176706,0.000050401857,0.000059978258,0.00005453546,0.000045950183,0.7518915,0.0077782394,0.0034699352,0.0013206333,0.23093857],"study_design_scores_gemma":[0.0000014284876,0.000007958739,0.0003100302,0.0000027990498,0.000002724288,0.000003434678,0.0000028622126,0.9978999,0.0007812138,0.00081295456,0.00017282757,0.0000018321409],"about_ca_topic_score_codex":0.006474148,"about_ca_topic_score_gemma":0.0059650852,"teacher_disagreement_score":0.006474148,"about_ca_system_score_codex":0.00042642182,"about_ca_system_score_gemma":0.00097091496,"threshold_uncertainty_score":0.012872934},"labels":[],"label_agreement":null},{"id":"W4409889156","doi":"10.1080/15715124.2025.2490272","title":"Beyond participation: power relations, information flows, and collaboration in water governance: a case of the Pra River Basin, Ghana","year":2025,"lang":"en","type":"article","venue":"International Journal of River Basin Management","topic":"Water Governance and Infrastructure","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Corporate governance; Structural basin; Water resource management; Hydrology (agriculture); Drainage basin; Power (physics); Geography; Environmental science; Geology; Business; Geomorphology; Geotechnical engineering; Finance","score_opus":0.0036790898630625728,"score_gpt":0.27001440563261075,"score_spread":0.26633531576954816,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409889156","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96765167,0.00026103406,0.0029584507,0.0056207175,0.000008032596,0.000075848904,0.000040119343,0.0000098433475,0.023374207],"genre_scores_gemma":[0.9981839,0.00011744733,0.00058053574,0.00006461313,0.0000031176303,0.00002284777,0.0000094942225,0.0000032872795,0.0010146234],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.99637455,0.0027976248,0.00005908234,0.00015887995,0.00017879049,0.00043115698],"domain_scores_gemma":[0.9934629,0.0051116557,0.00066963164,0.00017780263,0.00018435798,0.00039365725],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025496753,0.00018844694,0.00018835388,0.0006667738,0.004998429,0.0031243332,0.00055865454,0.001154737,0.0035818405],"category_scores_gemma":[0.005800852,0.00021836694,0.00012689798,0.0017017428,0.008289516,0.004612958,0.0027661843,0.00091612164,0.00018599028],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010183668,0.0001215734,0.042669598,0.0002365032,0.000014640998,0.013090701,0.8307034,0.0013951114,0.0024533304,0.080827296,0.0017177806,0.026668277],"study_design_scores_gemma":[0.000040809904,0.00008781068,0.031287014,0.00030608688,0.000020242676,0.0014617196,0.89713216,0.0024055995,0.0006344154,0.021630658,0.044972435,0.000021056661],"about_ca_topic_score_codex":0.02597747,"about_ca_topic_score_gemma":0.046051443,"teacher_disagreement_score":0.02597747,"about_ca_system_score_codex":0.0031925999,"about_ca_system_score_gemma":0.003396367,"threshold_uncertainty_score":0.05165249},"labels":[],"label_agreement":null},{"id":"W4414452201","doi":"10.1080/15715124.2025.2552889","title":"Assessing hydrological response to future climate change in a small Mediterranean watershed (North-Algeria)","year":2025,"lang":"en","type":"article","venue":"International Journal of River Basin Management","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"WiLAN (Canada)","funders":"","keywords":"Watershed; Climate change; Mediterranean climate; Hydrology (agriculture); Water resources; Water cycle; Effects of global warming","score_opus":0.02347079578283306,"score_gpt":0.2903251149710902,"score_spread":0.26685431918825714,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414452201","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9991055,0.000054790013,0.00025695746,0.00005701717,0.0000021319588,0.0000073268316,0.00016561964,0.0000108010445,0.000339811],"genre_scores_gemma":[0.9989371,0.000085420135,0.00049243704,0.000014299853,0.000005099047,0.00001145308,0.00024318155,0.0000027662848,0.00020823305],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99987316,0.00004010012,0.000010138752,0.000024272966,0.000027012627,0.000025261177],"domain_scores_gemma":[0.9998311,0.00004604539,0.000043066702,0.000013070501,0.000039665072,0.000027024684],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00043990562,0.0002143469,0.0001954649,0.00039731667,0.0002487812,0.00059374265,0.00028204804,0.00039740288,0.00051250454],"category_scores_gemma":[0.00060669583,0.000082911836,0.00025835104,0.0004596451,0.00017944479,0.0004076446,0.0002987307,0.00011947581,0.0000669418],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028752978,0.00040179657,0.8474162,0.00012395288,0.00024580734,0.0012648669,0.0007583583,0.09127701,0.008566508,0.0006163099,0.00095570215,0.048085846],"study_design_scores_gemma":[0.000031646072,0.00013527657,0.9077045,0.00001584775,0.00006570201,0.00014872222,0.0009706721,0.087442026,0.0013838918,0.000341058,0.001741792,0.000018850205],"about_ca_topic_score_codex":0.03270239,"about_ca_topic_score_gemma":0.028187593,"teacher_disagreement_score":0.03270239,"about_ca_system_score_codex":0.0011342166,"about_ca_system_score_gemma":0.00058241904,"threshold_uncertainty_score":0.06502408},"labels":[],"label_agreement":null}]}