{"meta":{"query_hash":"2e4c831c384c","filters":{"venue":"Revista Brasileira de Recursos Hídricos"},"cohort_total":13,"direct_labels_cover":0,"predictions_cover":13,"exported":13,"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/2e4c831c384c","api":"https://metacan.xera.ac/api/v1/cohort?venue=Revista+Brasileira+de+Recursos+H%C3%ADdricos"},"results":[{"id":"W14092863","doi":"10.21168/rbrh.v8n4.p157-168","title":"Análise Regional de Chuvas Intensas para a Bacia do Rio Doce","year":2003,"lang":"pt","type":"article","venue":"Revista Brasileira de Recursos Hídricos","topic":"Hydrology and Drought Analysis","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":false,"ca_institutions":"Adidas (Canada)","funders":"","keywords":"Geography","score_opus":0.025892348100270062,"score_gpt":0.2747915901704088,"score_spread":0.24889924207013872,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W14092863","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":[0.994069,0.00032444156,0.001202653,0.00003289967,0.0000022339623,0.000038453636,0.0012124745,0.00005997092,0.0030580035],"genre_scores_gemma":[0.99622655,0.00022482897,0.0023070069,0.000005186275,0.000003168444,0.000029133804,0.00054509134,0.000010034908,0.0006489586],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996202,0.00007914586,0.000027706026,0.00010708986,0.00009942198,0.000066406465],"domain_scores_gemma":[0.99847907,0.0004568822,0.00038217285,0.000135253,0.00043887927,0.00010770031],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00084379007,0.0002668496,0.00053538545,0.0037792411,0.00034446036,0.00068386825,0.0002697457,0.00022715337,0.0012001118],"category_scores_gemma":[0.0028273275,0.00021599761,0.0003912126,0.004882882,0.00031536835,0.00031382192,0.0005314063,0.0001862659,0.00016360973],"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":[0.000069564485,0.000011030407,0.96312535,0.00012813817,0.00012628977,0.00017731434,0.0020355098,0.0014604292,0.00425154,0.0003200809,0.00023715584,0.028057493],"study_design_scores_gemma":[0.0000010139066,0.000017169321,0.9974246,0.0000075462317,0.000019640938,0.000042283864,0.0007618684,0.0005249057,0.00018292647,0.00002161208,0.0009917939,0.0000046143796],"about_ca_topic_score_codex":0.14155437,"about_ca_topic_score_gemma":0.31244642,"teacher_disagreement_score":0.14155437,"about_ca_system_score_codex":0.0007118356,"about_ca_system_score_gemma":0.0007026437,"threshold_uncertainty_score":0.28146082},"labels":[],"label_agreement":null},{"id":"W2299539076","doi":"10.21168/rbrh.v12n1.p205-216","title":"Análise, Aplicação e Transposição de um Modelo Chuva-Vazão para Simulação de Curvas de Permanência de Pequenas Bacias da Amazônia","year":2007,"lang":"pt","type":"article","venue":"Revista Brasileira de Recursos Hídricos","topic":"Geography and Environmental Studies","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"Physics","score_opus":0.028147739398002046,"score_gpt":0.2786123629562213,"score_spread":0.2504646235582193,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2299539076","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":[0.9412174,0.00014173056,0.052847028,0.0004570468,0.000059916252,0.00007722148,0.0009204772,0.0011501934,0.0031289258],"genre_scores_gemma":[0.97460085,0.000047855847,0.024485674,0.000019828367,0.0000051498973,0.00005265343,0.00017427071,0.000088403736,0.00052526675],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997025,0.00014751748,0.000019824152,0.00006219089,0.000034369983,0.00003363774],"domain_scores_gemma":[0.9942597,0.0047328253,0.00019305662,0.00031161308,0.0003998693,0.00010286343],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013927978,0.0008258164,0.00069910294,0.0005262676,0.00062674045,0.0010125566,0.0014071133,0.0014582938,0.0026345705],"category_scores_gemma":[0.0076397145,0.00057368795,0.0009791221,0.0005109556,0.00042188427,0.0008471883,0.0005772334,0.0009260147,0.00021529442],"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":[0.00010966887,0.00011925977,0.010414679,0.0000649481,0.00006649952,0.000056145855,0.00012283538,0.97876716,0.0012835788,0.0012517677,0.0002862476,0.007457196],"study_design_scores_gemma":[0.00002327101,0.000031950738,0.00092243374,0.000004177103,0.00001923308,0.0000064373435,0.000035200457,0.99805486,0.0004972615,0.00022596253,0.00017388928,0.0000053274343],"about_ca_topic_score_codex":0.087994926,"about_ca_topic_score_gemma":0.04942313,"teacher_disagreement_score":0.087994926,"about_ca_system_score_codex":0.0011747003,"about_ca_system_score_gemma":0.0013559627,"threshold_uncertainty_score":0.1749655},"labels":[],"label_agreement":null},{"id":"W2460174469","doi":"10.21168/rbrh.v16n2.p13-24","title":"Variação das Características Hidráulicas em Condutos Forçados Operando sob Condições de Infestação por Limnoperna fortunei","year":2011,"lang":"pt","type":"article","venue":"Revista Brasileira de Recursos Hídricos","topic":"Insect behavior and control techniques","field":"Agricultural and Biological Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Discovery Air (Canada)","funders":"","keywords":"Chemistry","score_opus":0.06435690806665345,"score_gpt":0.3012589200604187,"score_spread":0.23690201199376526,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2460174469","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":[0.9997392,0.00003804564,0.000035160738,0.00000474279,9.328275e-7,0.0000042807474,0.00002885034,0.000002378236,0.00014630092],"genre_scores_gemma":[0.9984004,0.00006551747,0.00021859411,0.000015871581,0.0000011640786,0.000013300213,0.00008717773,0.0000028171148,0.0011951935],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99983597,0.000017205397,0.000008237286,0.0000582747,0.000036939844,0.000043318432],"domain_scores_gemma":[0.9995832,0.00009003632,0.000107142696,0.000022966346,0.00010249996,0.000094161565],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016293951,0.00036848424,0.00035435526,0.00040993837,0.00039001988,0.0006279309,0.0002495483,0.0004246789,0.001239962],"category_scores_gemma":[0.00041191248,0.00028471468,0.000255376,0.0002704949,0.0004429593,0.00037094383,0.000391356,0.00037477186,0.00018171465],"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":[0.000479141,0.00011750263,0.054596473,0.00006855939,0.000018875513,0.00024643738,0.0010469219,0.00006490145,0.9402614,0.000042521093,0.000034068686,0.003023291],"study_design_scores_gemma":[0.0000092153505,0.002250406,0.91794205,0.000017158465,0.000049572736,0.00025831326,0.002339955,0.00042290046,0.07574586,0.000040006184,0.00090087304,0.000023669945],"about_ca_topic_score_codex":0.007429821,"about_ca_topic_score_gemma":0.017298132,"teacher_disagreement_score":0.007429821,"about_ca_system_score_codex":0.0004409155,"about_ca_system_score_gemma":0.00027306846,"threshold_uncertainty_score":0.01477313},"labels":[],"label_agreement":null},{"id":"W2466188612","doi":"10.21168/rbrh.v18n2.p67-82","title":"Incorporação do Impacto da Rede de Reservatórios Superficiais Artificiais de Caráter Intranual na Modelagem Hidrológica Chuva-Vazão","year":2013,"lang":"pt","type":"article","venue":"Revista Brasileira de Recursos Hídricos","topic":"Geography and Environmental Studies","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":false,"ca_institutions":"Impact","funders":"","keywords":"Physics; Environmental science","score_opus":0.021999627140332743,"score_gpt":0.24582267854003986,"score_spread":0.22382305139970712,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2466188612","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":[0.36596185,0.0016552216,0.58125895,0.001938852,0.00037210307,0.0001361454,0.000766375,0.0012685544,0.046642],"genre_scores_gemma":[0.9609085,0.0005202092,0.031227015,0.00008874651,0.000032240434,0.00009719255,0.000111585156,0.00010863769,0.0069059357],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997447,0.00009285908,0.00001252608,0.000060878032,0.000048288224,0.000040780706],"domain_scores_gemma":[0.999243,0.00039338163,0.000076898184,0.000096353644,0.00012778415,0.00006245997],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00083300687,0.00058554247,0.0008764284,0.0005708114,0.00068170886,0.0024952972,0.0014548247,0.0016074942,0.0045283698],"category_scores_gemma":[0.002596133,0.00056611386,0.0014365407,0.0005010914,0.00088581035,0.0014084445,0.0012236702,0.0009590521,0.00042905076],"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":[0.00003142587,0.000027619024,0.0011433753,0.000034706398,0.000023104305,0.000050255527,0.00005873113,0.9838843,0.00079857616,0.008915968,0.00020931335,0.0048226076],"study_design_scores_gemma":[0.000005409483,0.000012098973,0.00012596062,0.000009333156,0.000011656537,0.000008932537,0.000012089388,0.9972882,0.00022776156,0.0014315031,0.0008627077,0.0000043424325],"about_ca_topic_score_codex":0.022587802,"about_ca_topic_score_gemma":0.018086968,"teacher_disagreement_score":0.022587802,"about_ca_system_score_codex":0.0016333798,"about_ca_system_score_gemma":0.0014747636,"threshold_uncertainty_score":0.044912636},"labels":[],"label_agreement":null},{"id":"W2790312290","doi":"10.1590/2318-0331.0318170121","title":"Assessment of the potentiometric drawdown in the Guarani Aquifer System in Bauru/SP by a model of analytical elements","year":2018,"lang":"en","type":"article","venue":"Revista Brasileira de Recursos Hídricos","topic":"Groundwater and Isotope Geochemistry","field":"Earth and Planetary Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"Conselho Nacional de Desenvolvimento Científico e Tecnológico","keywords":"Drawdown (hydrology); Aquifer; Groundwater; Hydrology (agriculture); Environmental science; Groundwater flow; Overexploitation; Geology; Water resource management; Ecology; Geotechnical engineering","score_opus":0.017792075148304998,"score_gpt":0.2611974565381665,"score_spread":0.2434053813898615,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2790312290","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":[0.97023004,0.00013314656,0.020239778,0.0002177829,0.000024754088,0.00007200591,0.0005622781,0.00028609505,0.008234077],"genre_scores_gemma":[0.99529266,0.000056864996,0.003138273,0.000014428807,0.000003968531,0.000056969217,0.0001472443,0.000020635736,0.001269051],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999861,0.000048325073,0.0000056808644,0.00003099274,0.000020395923,0.000033506796],"domain_scores_gemma":[0.9997534,0.00010857974,0.000025981813,0.000016042233,0.000073562536,0.000022457354],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003266182,0.00068049465,0.00058727816,0.00078216364,0.00093317067,0.0012160016,0.0010454322,0.001373947,0.0015396718],"category_scores_gemma":[0.0008234909,0.0004715237,0.0007605728,0.0006313671,0.0006355431,0.0004735299,0.000705,0.00053324946,0.00018288361],"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":[0.00004777392,0.000050075472,0.0057935817,0.000027381353,0.000022710787,0.00013010124,0.00005964114,0.9886375,0.0018343594,0.0010030676,0.00016703259,0.0022266787],"study_design_scores_gemma":[0.000008341509,0.000015444526,0.00083180744,0.000002984007,0.0000069738994,0.000009466681,0.000031510077,0.99845517,0.00022113066,0.00015331786,0.000258938,0.0000049427454],"about_ca_topic_score_codex":0.115452506,"about_ca_topic_score_gemma":0.051335663,"teacher_disagreement_score":0.115452506,"about_ca_system_score_codex":0.0019716,"about_ca_system_score_gemma":0.0012996707,"threshold_uncertainty_score":0.22956097},"labels":[],"label_agreement":null},{"id":"W2792318201","doi":"10.1590/2318-0331.0318170141","title":"Hydrodynamics of a tropical estuary: Buranhém River, Porto Seguro, Brazil","year":2018,"lang":"en","type":"article","venue":"Revista Brasileira de Recursos Hídricos","topic":"Coastal wetland ecosystem dynamics","field":"Environmental Science","cited_by":3,"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":"Universidade Federal de Itajubá; Universidade de São Paulo; Universidade Estadual de Santa Cruz; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Estuary; Stratification (seeds); Oceanography; Tidal range; Estuarine water circulation; Salinity; Water column; Hydrology (agriculture); Geology; Dominance (genetics); Environmental science; Spring (device); Turbulence; Geography; Meteorology","score_opus":0.007490670768607176,"score_gpt":0.2393851066570942,"score_spread":0.23189443588848702,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2792318201","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":[0.9980647,0.00009551375,0.0000877611,0.000032820524,0.000002062731,0.0000064962296,0.00022957772,0.000012258765,0.0014688503],"genre_scores_gemma":[0.9994305,0.00006070048,0.000121342455,0.000004922066,0.0000013299094,0.0000041379076,0.00010993859,0.0000020904602,0.00026506485],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999931,0.000010163164,0.000006758231,0.000019528716,0.00001892113,0.000013634672],"domain_scores_gemma":[0.9998834,0.000019977113,0.000041172872,0.00000908869,0.0000303028,0.000016146887],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016159726,0.00018043167,0.00015994212,0.00041148232,0.00036058764,0.0005217524,0.00016437954,0.0001664876,0.00085134286],"category_scores_gemma":[0.0003905603,0.00010718376,0.00012921728,0.000760746,0.0002953063,0.00018582259,0.00038677914,0.00009146085,0.00007564888],"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":[0.000089584515,0.00004691546,0.95514697,0.00009477987,0.00005802791,0.0007132829,0.0026350664,0.0023863623,0.019292537,0.000582807,0.0005054162,0.018448098],"study_design_scores_gemma":[0.0000051262937,0.000031595933,0.9955563,0.00001155453,0.000013529964,0.00007675583,0.0008785555,0.00151213,0.00043583577,0.000051395524,0.0014223678,0.000004755411],"about_ca_topic_score_codex":0.111438066,"about_ca_topic_score_gemma":0.17631105,"teacher_disagreement_score":0.111438066,"about_ca_system_score_codex":0.00074268616,"about_ca_system_score_gemma":0.00056013145,"threshold_uncertainty_score":0.22157884},"labels":[],"label_agreement":null},{"id":"W2799573766","doi":"10.1590/2318-0331.231820170106","title":"Can chlorophyll-a in meso-oligotrophic shallow waters be estimated using statistical approaches and empirical models from MODIS imagery?","year":2018,"lang":"en","type":"article","venue":"Revista Brasileira de Recursos Hídricos","topic":"Water Quality Monitoring and Analysis","field":"Environmental Science","cited_by":1,"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":"Conselho Nacional de Desenvolvimento Científico e Tecnológico; Governo Brasil; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; Global Lake Ecological Observatory Network","keywords":"Chlorophyll a; Linear regression; Environmental science; Empirical modelling; Regression analysis; Regression; Chlorophyll; Remote sensing; Mathematics; Statistics; Computer science; Geography","score_opus":0.12516104005212636,"score_gpt":0.3182843434870566,"score_spread":0.19312330343493023,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2799573766","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":[0.8965995,0.0011407888,0.0965707,0.00089451193,0.00003880056,0.0000344701,0.0006249761,0.000644177,0.0034520945],"genre_scores_gemma":[0.98581684,0.00037136767,0.013060491,0.00004816584,0.000014979124,0.000022922224,0.00022947037,0.000035037887,0.0004008895],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996693,0.00014117682,0.000022342187,0.0000868525,0.000049504393,0.000030917196],"domain_scores_gemma":[0.998965,0.0005004002,0.0002549579,0.00011701,0.00013144252,0.000031182066],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001706897,0.0005015776,0.00031864172,0.00076932076,0.00016902933,0.00083073747,0.00045647298,0.00043598123,0.0005405938],"category_scores_gemma":[0.0046002697,0.00024704932,0.0007567454,0.0007702007,0.00030022283,0.0010594619,0.00036538357,0.00029496136,0.00029487672],"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":[0.00016835691,0.00018019881,0.28966057,0.00031550127,0.0004133406,0.00021877249,0.00028267733,0.5134494,0.010917886,0.0030124844,0.0012533274,0.18012756],"study_design_scores_gemma":[0.000008243629,0.000027359994,0.06582343,0.000044637796,0.000035308036,0.000030481353,0.00009795514,0.9306228,0.00093219173,0.0017266779,0.0006269778,0.000023826402],"about_ca_topic_score_codex":0.024246579,"about_ca_topic_score_gemma":0.024380181,"teacher_disagreement_score":0.024246579,"about_ca_system_score_codex":0.0006846432,"about_ca_system_score_gemma":0.00069253676,"threshold_uncertainty_score":0.04821086},"labels":[],"label_agreement":null},{"id":"W2896549436","doi":"10.1590/2318-0331.231820180002","title":"Decision support system for optimization of permits for wastewater discharge","year":2018,"lang":"en","type":"article","venue":"Revista Brasileira de Recursos Hídricos","topic":"Water resources management and optimization","field":"Engineering","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":"Western University","funders":"Fundação de Amparo à Pesquisa do Estado de São Paulo","keywords":"Wastewater; Decision support system; Flexibility (engineering); Water quality; Agency (philosophy); Legislation; Process (computing); Computer science; Set (abstract data type); Risk analysis (engineering); Quality (philosophy); Function (biology); Environmental economics; Operations research; Environmental science; Business; Engineering; Environmental engineering; Data mining","score_opus":0.014677482699991097,"score_gpt":0.24119327570552038,"score_spread":0.2265157930055293,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2896549436","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":[0.1398487,0.00047513258,0.8423004,0.000508903,0.00016267582,0.00050076435,0.00063598383,0.0035861009,0.011981254],"genre_scores_gemma":[0.9194496,0.00013080418,0.07656562,0.00008820277,0.000027709933,0.00033780877,0.00030150748,0.0000310473,0.0030676653],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994832,0.00016270872,0.00005083731,0.000104854065,0.000123896,0.000074368974],"domain_scores_gemma":[0.9992156,0.00037632536,0.000077705576,0.00003983157,0.0002469271,0.00004368906],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010617959,0.0006966219,0.0007460912,0.0010482175,0.000555603,0.0015953849,0.0006977348,0.00091188354,0.007673485],"category_scores_gemma":[0.0021745418,0.00022968711,0.0005436715,0.00061329565,0.0002478926,0.0005391093,0.0005838508,0.0005539247,0.00072104175],"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":[0.00060269685,0.0003505339,0.002100196,0.00029949858,0.00008087492,0.00027150885,0.00012789298,0.8309896,0.0065497723,0.0071949386,0.0029105144,0.14852205],"study_design_scores_gemma":[0.000058022837,0.00009860016,0.00021626466,0.000012168977,0.000016414517,0.000013928536,0.000019280256,0.9954947,0.0020243214,0.0009855048,0.001052854,0.000007901335],"about_ca_topic_score_codex":0.005250599,"about_ca_topic_score_gemma":0.0030642862,"teacher_disagreement_score":0.007673485,"about_ca_system_score_codex":0.00071368826,"about_ca_system_score_gemma":0.001255146,"threshold_uncertainty_score":0.02567035},"labels":[],"label_agreement":null},{"id":"W2977392146","doi":"10.1590/2318-0331.241920180077","title":"Spectral analysis in determining water quality sampling intervals","year":2019,"lang":"en","type":"article","venue":"Revista Brasileira de Recursos Hídricos","topic":"Hydrological Forecasting Using AI","field":"Environmental Science","cited_by":3,"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":"Sampling (signal processing); Representativeness heuristic; Statistics; Nyquist frequency; Series (stratigraphy); Water quality; Calibration; Quality (philosophy); Executable; Nyquist–Shannon sampling theorem; Environmental science; Remote sensing; Computer science; Mathematics; Geography; Telecommunications; Geology","score_opus":0.04292958291424653,"score_gpt":0.31593332778621414,"score_spread":0.2730037448719676,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2977392146","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":[0.24604504,0.00034625182,0.74952173,0.000053262498,0.00004556204,0.00011385173,0.0002454654,0.00042049502,0.0032084093],"genre_scores_gemma":[0.9023289,0.00014300918,0.09686432,0.000012607842,0.000021035035,0.00007729872,0.00021730708,0.000032206768,0.00030318237],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989951,0.00037346254,0.00009856778,0.00016589771,0.0003020973,0.000064755615],"domain_scores_gemma":[0.9945832,0.0037543904,0.0004049453,0.00031156588,0.0008793791,0.00006660276],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022360713,0.00036234056,0.00032064627,0.00224692,0.00028989153,0.0005900968,0.00036202723,0.0003374728,0.0008662278],"category_scores_gemma":[0.012731558,0.00013248478,0.0003240575,0.001528251,0.00030727166,0.00093822146,0.00033850165,0.0003745131,0.00025111448],"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":[0.0005893802,0.00019544181,0.07588559,0.00037578846,0.00010891791,0.00024790133,0.00074563106,0.28683034,0.039318614,0.010890155,0.00091621344,0.583896],"study_design_scores_gemma":[0.0000109967,0.00009584941,0.04117165,0.000047046124,0.000038166534,0.0001540234,0.00024922646,0.9402826,0.011709712,0.004227012,0.00197682,0.00003689538],"about_ca_topic_score_codex":0.0037400082,"about_ca_topic_score_gemma":0.0022152173,"teacher_disagreement_score":0.0037400082,"about_ca_system_score_codex":0.00034274618,"about_ca_system_score_gemma":0.00029025602,"threshold_uncertainty_score":0.011825621},"labels":[],"label_agreement":null},{"id":"W3003839441","doi":"10.1590/2318-0331.252020180175","title":"Analysis of currents on the continental shelf off the Santa Catarina Island through measured data","year":2020,"lang":"en","type":"article","venue":"Revista Brasileira de Recursos Hídricos","topic":"Coastal and Marine Management","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":"ASTER","funders":"Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Continental shelf; Oceanography; Current (fluid); Forcing (mathematics); Current meter; Shore; Flow (mathematics); Geology; Environmental science; Meteorology; Climatology; Geography","score_opus":0.055088851530871306,"score_gpt":0.2741822735770173,"score_spread":0.21909342204614599,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3003839441","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":[0.9977627,0.000081501275,0.00025383057,0.000020406083,0.000003693632,0.0000118031085,0.0008926647,0.000017815162,0.0009555382],"genre_scores_gemma":[0.9985965,0.0000554763,0.0003977238,0.000003082562,0.0000032639234,0.000007841912,0.000719744,0.0000025082115,0.00021392497],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998122,0.000023740391,0.000027029893,0.000041287658,0.00006757954,0.000028155871],"domain_scores_gemma":[0.99944407,0.00010175566,0.00012612701,0.00007207744,0.0002138119,0.00004208199],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021438205,0.00016213376,0.00017003577,0.0011036709,0.00023046497,0.0005379797,0.00020975486,0.00017998234,0.00045782843],"category_scores_gemma":[0.0010639542,0.00009796246,0.00020205796,0.0014055369,0.00014398241,0.00017248241,0.00026626023,0.000099109435,0.00012068128],"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":[0.00005342838,0.0000375611,0.96648383,0.000084607476,0.000087557084,0.0002618995,0.00077124604,0.0012700027,0.009641238,0.00013796579,0.00031319386,0.02085748],"study_design_scores_gemma":[0.0000022720133,0.000020838563,0.9957579,0.000017500248,0.000014414956,0.000040075818,0.00035087275,0.00222336,0.00053215085,0.000018544542,0.0010167485,0.0000052792957],"about_ca_topic_score_codex":0.0908469,"about_ca_topic_score_gemma":0.15991178,"teacher_disagreement_score":0.0908469,"about_ca_system_score_codex":0.00052230223,"about_ca_system_score_gemma":0.00055148324,"threshold_uncertainty_score":0.18063623},"labels":[],"label_agreement":null},{"id":"W4205266130","doi":"10.1590/2318-0331.262120210045","title":"Determining a composite value for the saturated hydraulic conductivity in a recharge area of the Guarani Aquifer System, using pedotransfer functions","year":2021,"lang":"en","type":"article","venue":"Revista Brasileira de Recursos Hídricos","topic":"Soil and Unsaturated Flow","field":"Engineering","cited_by":1,"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; Fundação de Amparo à Pesquisa do Estado de São Paulo","keywords":"Pedotransfer function; Groundwater recharge; Hydraulic conductivity; Watershed; Aquifer; Environmental science; Hydrology (agriculture); Soil science; Permeameter; Geology; Geotechnical engineering; Soil water; Groundwater; Computer science","score_opus":0.03206134294522389,"score_gpt":0.24781605404604878,"score_spread":0.2157547111008249,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4205266130","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":[0.9733194,0.00010273968,0.024254275,0.000026310827,0.000004094104,0.000024412868,0.0007397568,0.00022264716,0.0013064134],"genre_scores_gemma":[0.99300826,0.000045323693,0.00658344,0.0000025297518,0.0000010667502,0.000016531014,0.00017216714,0.0000115442945,0.00015920533],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99983466,0.000040122362,0.000014773065,0.00004597061,0.000039709383,0.000024723906],"domain_scores_gemma":[0.99972993,0.00011700794,0.00004823444,0.000021519174,0.0000703897,0.000012768307],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046758892,0.0003838289,0.0003715046,0.002222545,0.00024321339,0.00064223976,0.00022444397,0.0002461871,0.00056140806],"category_scores_gemma":[0.000932111,0.00013624638,0.0002700728,0.0019268051,0.00025920174,0.00048080523,0.00032814944,0.00013842464,0.000125532],"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":[0.00026806843,0.000118608965,0.58927417,0.00036566847,0.00018146659,0.0007668886,0.0012370459,0.18157205,0.06695281,0.0016747711,0.0006455165,0.15694284],"study_design_scores_gemma":[0.00001485309,0.0001397858,0.5974254,0.00004044483,0.00007628691,0.00033141076,0.0011677943,0.3656529,0.029967826,0.0019309336,0.003183987,0.00006840813],"about_ca_topic_score_codex":0.00860704,"about_ca_topic_score_gemma":0.012942536,"teacher_disagreement_score":0.00860704,"about_ca_system_score_codex":0.00056708726,"about_ca_system_score_gemma":0.00030655973,"threshold_uncertainty_score":0.017113864},"labels":[],"label_agreement":null},{"id":"W4405095800","doi":"10.1590/2318-0331.292420240042","title":"Multi-model ensemble for long-term statistical trend analysis of observed gridded precipitation and temperature data in the São Francisco River Basin, Brazil","year":2024,"lang":"en","type":"article","venue":"Revista Brasileira de Recursos Hídricos","topic":"Meteorological Phenomena and Simulations","field":"Earth and Planetary Sciences","cited_by":3,"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":"Precipitation; Climatology; Term (time); Environmental science; Drainage basin; Structural basin; Statistical analysis; Meteorology; Geography; Geology; Cartography; Statistics; Mathematics; Physics; Geomorphology","score_opus":0.07826337869810066,"score_gpt":0.32306749638636884,"score_spread":0.24480411768826818,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405095800","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":[0.95590585,0.0011120889,0.033454143,0.00030937896,0.0001012036,0.000058426205,0.0062222467,0.0012440276,0.001592737],"genre_scores_gemma":[0.98068374,0.00027329032,0.012282571,0.00001787994,0.000022234655,0.000052684438,0.006137134,0.00006683078,0.00046369582],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997392,0.000075466705,0.000025042338,0.00009706691,0.00003931129,0.000023858382],"domain_scores_gemma":[0.9995944,0.00011044889,0.00005926281,0.00007461411,0.00013829806,0.000023031944],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010461351,0.00072375865,0.0006501535,0.0008016194,0.00030683342,0.000610359,0.00073090725,0.00034071621,0.00040950754],"category_scores_gemma":[0.0016155929,0.00029995045,0.0011157778,0.0007751129,0.00011178359,0.00046693394,0.00039059028,0.00038861882,0.00013873281],"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":[0.00015289726,0.0001994936,0.22636038,0.00014075995,0.0012779207,0.00024332403,0.00019586131,0.6990835,0.00316118,0.0010093896,0.0037538244,0.064421415],"study_design_scores_gemma":[0.000020375059,0.000021120659,0.04148727,0.000019071265,0.00010277541,0.000016251788,0.000059844915,0.9565628,0.00039807812,0.00019164296,0.0011049962,0.000015776039],"about_ca_topic_score_codex":0.22881418,"about_ca_topic_score_gemma":0.18305983,"teacher_disagreement_score":0.22881418,"about_ca_system_score_codex":0.0008514459,"about_ca_system_score_gemma":0.0011407655,"threshold_uncertainty_score":0.4549647},"labels":[],"label_agreement":null},{"id":"W4415588292","doi":"10.1590/2318-0331.302520250024","title":"Evaluating dam safety in Brazil: a comparative analysis of international classification systems","year":2025,"lang":"pt","type":"article","venue":"Revista Brasileira de Recursos Hídricos","topic":"Dam Engineering and Safety","field":"Engineering","cited_by":0,"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":"Hazard; Hazard analysis; Plan (archaeology); Action plan; Dam break; Risk assessment; Emergency plan","score_opus":0.052433584231273894,"score_gpt":0.36686448471136646,"score_spread":0.3144309004800926,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415588292","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":[0.9664996,0.003589507,0.0063738283,0.0012009952,0.00007851742,0.00027346477,0.0023766374,0.00007311094,0.019534219],"genre_scores_gemma":[0.9949372,0.00060374127,0.0027459357,0.000030365025,0.000011978081,0.000053987413,0.0013491448,0.000015162767,0.0002524842],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.991491,0.003954708,0.000864416,0.00055911177,0.002541783,0.0005890431],"domain_scores_gemma":[0.95468545,0.025471803,0.0043396708,0.0021974456,0.012532436,0.00077318994],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.014966188,0.00045454313,0.0007789788,0.009654574,0.000698293,0.0033791473,0.00068509555,0.00040030474,0.0019305081],"category_scores_gemma":[0.05711591,0.00015141643,0.0011539805,0.014096187,0.0009926235,0.0018549557,0.0014164445,0.0005605625,0.00022596098],"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":[0.00032649966,0.00020512068,0.86575305,0.00047264041,0.00051666866,0.00012445921,0.0038005805,0.0049972176,0.00030191834,0.014461948,0.0030786346,0.10596126],"study_design_scores_gemma":[0.000043672502,0.00033109044,0.9259916,0.00074992684,0.00040296142,0.00013852646,0.014914153,0.03911953,0.00057852064,0.006025797,0.01164051,0.00006376281],"about_ca_topic_score_codex":0.0901131,"about_ca_topic_score_gemma":0.068239905,"teacher_disagreement_score":0.0901131,"about_ca_system_score_codex":0.00654814,"about_ca_system_score_gemma":0.0038814573,"threshold_uncertainty_score":0.17917717},"labels":[],"label_agreement":null}]}