{"meta":{"query_hash":"38cfa9e75006","filters":{"venue":"Journal of Hydrology Regional Studies"},"cohort_total":105,"direct_labels_cover":0,"predictions_cover":105,"exported":105,"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/38cfa9e75006","api":"https://metacan.xera.ac/api/v1/cohort?venue=Journal+of+Hydrology+Regional+Studies"},"results":[{"id":"W1102935092","doi":"10.1016/j.ejrh.2015.06.005","title":"Comparison of downscaling methods for mean and extreme precipitation in Senegal","year":2015,"lang":"en","type":"article","venue":"Journal of Hydrology Regional Studies","topic":"Climate variability and models","field":"Environmental Science","cited_by":52,"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 de Moncton; University of Ottawa; Université de Montréal","funders":"","keywords":"Downscaling; Precipitation; Quantile; Climatology; Environmental science; Climate change; Generalized extreme value distribution; Extreme value theory; Return period; Climate model; Geography; Meteorology; Statistics; Mathematics; Geology","score_opus":0.276752190612596,"score_gpt":0.44906300977664815,"score_spread":0.17231081916405216,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1102935092","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":[0.95270795,0.00036780612,0.0407059,0.00015102279,0.000044642293,0.00013644318,0.0011665664,0.0004215119,0.0042980975],"genre_scores_gemma":[0.9555563,0.00033485927,0.04132816,0.000038261573,0.00001421432,0.00014404405,0.0015674115,0.00014486416,0.000871869],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99955446,0.00018517255,0.000043612607,0.00007785404,0.000089467714,0.000049420025],"domain_scores_gemma":[0.99917775,0.00023670647,0.000109283574,0.000104835315,0.00034459395,0.000026822523],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001482018,0.00044975936,0.0002934677,0.0012909392,0.00028739034,0.00056469167,0.00043598536,0.00018441724,0.0019227682],"category_scores_gemma":[0.004062406,0.00020422165,0.00047417128,0.0014155464,0.0001663835,0.0003900422,0.0005005002,0.00028368423,0.00028875674],"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":[0.0015932854,0.00023896943,0.22750585,0.00031343085,0.0007653449,0.0004963244,0.0013884112,0.25872838,0.015332822,0.0033450865,0.0035267128,0.48676533],"study_design_scores_gemma":[0.00019467765,0.00031498267,0.45279092,0.000120511955,0.00029940822,0.00024748067,0.0018314489,0.5174695,0.014612443,0.0010579663,0.010958687,0.00010201055],"about_ca_topic_score_codex":0.037517555,"about_ca_topic_score_gemma":0.043668006,"teacher_disagreement_score":0.037517555,"about_ca_system_score_codex":0.0005527697,"about_ca_system_score_gemma":0.00073174114,"threshold_uncertainty_score":0.07459837},"labels":[],"label_agreement":null},{"id":"W1720183865","doi":"10.1016/j.ejrh.2015.05.015","title":"A GIS-based approach for supporting groundwater protection in eskers: Application to sand and gravel extraction activities in Abitibi-Témiscamingue, Quebec, Canada","year":2015,"lang":"en","type":"article","venue":"Journal of Hydrology Regional Studies","topic":"Soil and Land Suitability Analysis","field":"Environmental Science","cited_by":28,"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 du Québec à Montréal; Université du Québec en Abitibi-Témiscamingue","funders":"Ministère de l'Énergie et des Ressources Naturelles","keywords":"Groundwater; Aquifer; Extraction (chemistry); Resource (disambiguation); Geology; Hydrology (agriculture); Water resource management; Environmental science; Geotechnical engineering","score_opus":0.0340648851882451,"score_gpt":0.28082132568866686,"score_spread":0.24675644050042175,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1720183865","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":[0.9268878,0.00039419383,0.033622175,0.0009145405,0.000018370629,0.0012445415,0.013122345,0.0023048394,0.021491218],"genre_scores_gemma":[0.90225476,0.00039853973,0.08897491,0.00005009094,0.0000059851745,0.00025247128,0.0040864,0.00005518944,0.003921578],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99979454,0.000049786253,0.000014766049,0.00003715007,0.00006648478,0.000037204067],"domain_scores_gemma":[0.99945956,0.00017277083,0.000041240164,0.0000270505,0.00022290609,0.00007643647],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003637265,0.000564022,0.00023271368,0.0018308914,0.0009236892,0.0015600764,0.0007578882,0.0003584884,0.0029053742],"category_scores_gemma":[0.0014507199,0.00020875507,0.00029138726,0.0029436538,0.00038552075,0.0004343799,0.00056699786,0.00023061884,0.0002437796],"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":[0.00030422478,0.0005843943,0.3293906,0.00076990743,0.00021081054,0.001970189,0.0040942705,0.34630004,0.012474791,0.0056759757,0.013006873,0.28521794],"study_design_scores_gemma":[0.00007958398,0.00008469692,0.22060242,0.00011161308,0.00007308618,0.00015719805,0.010592615,0.75140446,0.0026706904,0.0010330267,0.013105411,0.00008519188],"about_ca_topic_score_codex":0.9533235,"about_ca_topic_score_gemma":0.977467,"teacher_disagreement_score":0.046676517,"about_ca_system_score_codex":0.011514725,"about_ca_system_score_gemma":0.009074758,"threshold_uncertainty_score":0.09390277},"labels":[],"label_agreement":null},{"id":"W1797720112","doi":"10.1016/j.ejrh.2015.09.006","title":"Transboundary aquifers along the Canada–USA border: Science, policy and social issues","year":2015,"lang":"en","type":"article","venue":"Journal of Hydrology Regional Studies","topic":"Transboundary Water Resource Management","field":"Social Sciences","cited_by":31,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Natural Resources Canada; Geological Survey of Canada","funders":"","keywords":"Aquifer; Documentation; Negotiation; Environmental planning; Political science; Relevance (law); Environmental resource management; Resource (disambiguation); Geography; Business; Groundwater; Engineering; Environmental science; Law","score_opus":0.055359555315737954,"score_gpt":0.3649595187988901,"score_spread":0.30959996348315216,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1797720112","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":[0.13411805,0.073883556,0.0027570778,0.58567107,0.00070301734,0.00009686962,0.00097233406,0.000064177715,0.20173386],"genre_scores_gemma":[0.8888066,0.06188517,0.0034955586,0.02734614,0.00020393389,0.00007353413,0.00037869983,0.000022698663,0.017787822],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9976533,0.0004351822,0.000057239227,0.00017180342,0.0008717754,0.00081079896],"domain_scores_gemma":[0.9927435,0.0025785423,0.0004299122,0.00012822718,0.0030071095,0.0011126805],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0030360203,0.00023346907,0.00034726603,0.0022888256,0.013766499,0.009901681,0.0013671922,0.0029134315,0.003400718],"category_scores_gemma":[0.0055606803,0.00016350149,0.00030311613,0.0054342784,0.012757404,0.003913223,0.003188334,0.0030995863,0.00012965432],"study_design_candidate":"not_applicable","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":[0.00004865992,0.00009971977,0.023350557,0.0009622153,0.00006471474,0.0014695495,0.033817243,0.0014057828,0.0010457846,0.7002594,0.0869823,0.1504941],"study_design_scores_gemma":[0.000018409137,0.00004417554,0.07239914,0.0023557942,0.000093424154,0.00033269578,0.16580983,0.0015106457,0.0009020727,0.13035722,0.6260161,0.0001604615],"about_ca_topic_score_codex":0.97630864,"about_ca_topic_score_gemma":0.98786795,"teacher_disagreement_score":0.06288278,"about_ca_system_score_codex":0.06288278,"about_ca_system_score_gemma":0.18588784,"threshold_uncertainty_score":0.45624864},"labels":[],"label_agreement":null},{"id":"W2162873386","doi":"10.1016/j.ejrh.2015.09.003","title":"Hydrological response to dynamical downscaling of climate model outputs: A case study for western and eastern snowmelt-dominated Canada catchments","year":2015,"lang":"en","type":"article","venue":"Journal of Hydrology Regional Studies","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"École de Technologie Supérieure; Université du Québec à Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Downscaling; Snowmelt; Climate model; Climate change; Environmental science; Precipitation; Climatology; GCM transcription factors; Drainage basin; Structural basin; Snow; Geography; General Circulation Model; Meteorology; Geology; Cartography","score_opus":0.05207066812972952,"score_gpt":0.31185175919504604,"score_spread":0.25978109106531655,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2162873386","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":[0.9987344,0.000033923105,0.00020682495,0.00006415392,0.000003476725,0.000013710945,0.00029536794,0.000042858293,0.00060533703],"genre_scores_gemma":[0.9987545,0.00004148327,0.00046786616,0.000019542922,0.000002836465,0.000006888684,0.00044720442,0.000011576535,0.00024805294],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997949,0.000034360273,0.00000985983,0.000040020495,0.000052422503,0.00006843407],"domain_scores_gemma":[0.9994342,0.00017679635,0.00005111946,0.000049643826,0.00022198718,0.00006623929],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00047506165,0.00053441187,0.00042210068,0.00044681705,0.00086963,0.00082510186,0.0008240046,0.00047349036,0.0006990926],"category_scores_gemma":[0.0017174428,0.00022949577,0.00048701567,0.00094025285,0.0006409126,0.00032336835,0.00043793974,0.0005281621,0.000055134733],"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":[0.0004179153,0.0003001494,0.19443224,0.00008351684,0.00024535123,0.0005112654,0.00033091332,0.7819874,0.007545572,0.0007564698,0.001331284,0.01205795],"study_design_scores_gemma":[0.000075414384,0.00011050776,0.23225343,0.000010768673,0.00006924064,0.00006426698,0.0004918912,0.761356,0.0040817303,0.0002097057,0.001226393,0.000050641444],"about_ca_topic_score_codex":0.86953735,"about_ca_topic_score_gemma":0.8712961,"teacher_disagreement_score":0.13046265,"about_ca_system_score_codex":0.0067682057,"about_ca_system_score_gemma":0.003236626,"threshold_uncertainty_score":0.2624619},"labels":[],"label_agreement":null},{"id":"W2237325034","doi":"10.1016/j.ejrh.2015.12.016","title":"Peer review report 2 On “ Transboundary aquifers along the Canada-USA border: science, policy and social issues ”","year":2015,"lang":"en","type":"article","venue":"Journal of Hydrology Regional Studies","topic":"Cross-Border Cooperation and Integration","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Aquifer; Political science; Environmental planning; Science policy; Public administration; Environmental protection; Geography; Groundwater; Geology","score_opus":0.08296438203219604,"score_gpt":0.45139033714958093,"score_spread":0.3684259551173849,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2237325034","genre_codex":"editorial","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"commentary","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.004692193,0.003910942,0.0033514313,0.25870806,0.59608686,0.0037491515,0.004955249,0.0012457423,0.12330035],"genre_scores_gemma":[0.027958266,0.010180802,0.0062838104,0.06357296,0.16032021,0.0028680374,0.008581082,0.002192986,0.7180418],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9624137,0.0041930196,0.0021469693,0.0018939456,0.026716407,0.0026359144],"domain_scores_gemma":[0.6116623,0.024404466,0.006113537,0.008961021,0.33502612,0.013832551],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.023740144,0.0011188681,0.001785665,0.0077941865,0.010620466,0.012723049,0.0041508023,0.012569156,0.1330777],"category_scores_gemma":[0.1389289,0.00089389563,0.0020859633,0.0039122044,0.003242388,0.0048280098,0.0051810667,0.0039927256,0.07277484],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000034116656,0.000016138745,0.00025494228,0.00027915812,0.000008518077,0.00009566765,0.000113594615,0.000027459844,0.00033592197,0.0005868173,0.9890709,0.00917675],"study_design_scores_gemma":[0.000035690136,0.00003069979,0.0022497813,0.00041788418,0.000023281471,0.00006191795,0.0005389268,0.00020746313,0.00066311605,0.0010272125,0.9947066,0.00003735542],"about_ca_topic_score_codex":0.023880336,"about_ca_topic_score_gemma":0.049036566,"teacher_disagreement_score":0.97611964,"about_ca_system_score_codex":0.0059758304,"about_ca_system_score_gemma":0.035678856,"threshold_uncertainty_score":0.44518924},"labels":[],"label_agreement":null},{"id":"W2241106462","doi":"10.1016/j.ejrh.2015.12.010","title":"Peer review report 2 On “Hydrological response to dynamical downscaling of climate model outputs: A case study for western and eastern snowmelt-dominated Canada catchments”","year":2015,"lang":"en","type":"article","venue":"Journal of Hydrology Regional Studies","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","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":"Downscaling; Snowmelt; Climatology; Environmental science; Climate model; Climate change; Meteorology; Hydrology (agriculture); Physical geography; Geography; Snow; Geology; Precipitation; Oceanography","score_opus":0.10457188084257663,"score_gpt":0.3397516579437193,"score_spread":0.23517977710114268,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2241106462","genre_codex":"other","genre_gemma":"commentary","domain_codex":null,"domain_gemma":"evaluation","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"commentary","genre_consensus":null,"domain_candidate":"evaluation","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.01989909,0.0031391347,0.013633871,0.20308146,0.2852749,0.0075655496,0.013183782,0.004760823,0.44946143],"genre_scores_gemma":[0.061759304,0.004745111,0.01171653,0.024674345,0.040467232,0.0023452665,0.017977474,0.00501913,0.83129567],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.97411895,0.002471465,0.0010978748,0.0013286206,0.01960253,0.0013805148],"domain_scores_gemma":[0.62371105,0.02039395,0.0040479694,0.007610789,0.3310714,0.01316485],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.017704675,0.00081862713,0.0009810261,0.0052750297,0.0092453305,0.007990659,0.0032405558,0.0046636616,0.182191],"category_scores_gemma":[0.11824803,0.00055249105,0.001105436,0.003455597,0.0022186707,0.0035927028,0.004427138,0.0022790898,0.07568946],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000038331542,0.000043794076,0.0007131081,0.0002167806,0.000010754527,0.00019704808,0.00028056998,0.00014099808,0.000738942,0.0010111015,0.9746834,0.021925215],"study_design_scores_gemma":[0.000036593392,0.000060708444,0.00404304,0.00025525375,0.000012999648,0.00007824545,0.00075124844,0.0005527928,0.00085973856,0.0009312624,0.9923733,0.00004477282],"about_ca_topic_score_codex":0.056185637,"about_ca_topic_score_gemma":0.10553177,"teacher_disagreement_score":0.98229533,"about_ca_system_score_codex":0.004944674,"about_ca_system_score_gemma":0.028805548,"threshold_uncertainty_score":0.6094896},"labels":[],"label_agreement":null},{"id":"W2250123632","doi":"10.1016/j.ejrh.2015.12.049","title":"Peer review report 2 On “A GIS-based approach for supporting groundwater protection in eskers: application to sand and gravel extraction activities in Abitibi-Temiscamingue, Quebec, Canada”","year":2015,"lang":"en","type":"article","venue":"Journal of Hydrology Regional Studies","topic":"Soil erosion and sediment transport","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Groundwater; Extraction (chemistry); Environmental science; Hydrology (agriculture); Geology; Mining engineering; Geotechnical engineering; Chemistry","score_opus":0.07839199627495357,"score_gpt":0.3113543763687705,"score_spread":0.23296238009381692,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2250123632","genre_codex":"editorial","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"commentary","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.010517514,0.0042285454,0.008378301,0.15465073,0.41705585,0.005991096,0.018032176,0.0030883388,0.3780574],"genre_scores_gemma":[0.019148896,0.003295992,0.0046095876,0.011821832,0.024667209,0.0008216318,0.010366241,0.0015282934,0.92374027],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.98671967,0.00093226036,0.00044817236,0.00059603126,0.010466926,0.0008369872],"domain_scores_gemma":[0.780584,0.00503731,0.0016783341,0.0031470507,0.20225114,0.0073022363],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009132422,0.0008690382,0.0009249287,0.004757559,0.0055675777,0.0073274737,0.0028456687,0.0035654553,0.27450913],"category_scores_gemma":[0.048325337,0.0004738053,0.0012025813,0.0031011072,0.0014857316,0.002404233,0.0027887232,0.0017918454,0.10380047],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000025373825,0.00002447327,0.00042634644,0.0001562426,0.0000082284405,0.00008991822,0.000086956716,0.00006997364,0.0004561308,0.00033807333,0.9803034,0.018014908],"study_design_scores_gemma":[0.000022268243,0.000028282655,0.002199941,0.00013209406,0.000011106342,0.000029559094,0.00031298568,0.00023557206,0.0004435203,0.00023281336,0.99633235,0.000019668962],"about_ca_topic_score_codex":0.16459204,"about_ca_topic_score_gemma":0.3090339,"teacher_disagreement_score":0.835408,"about_ca_system_score_codex":0.0058811805,"about_ca_system_score_gemma":0.029623307,"threshold_uncertainty_score":0.91832453},"labels":[],"label_agreement":null},{"id":"W2299275611","doi":"10.1016/j.ejrh.2016.01.034","title":"Stable isotope mass balance of fifty lakes in central Alberta: Assessing the role of water balance parameters in determining trophic status and lake level","year":2016,"lang":"en","type":"article","venue":"Journal of Hydrology Regional Studies","topic":"Groundwater and Isotope Geochemistry","field":"Earth and Planetary Sciences","cited_by":68,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Alberta Innovates; University of Alberta; University of Victoria","funders":"Natural Sciences and Engineering Research Council of Canada; Alberta Innovates","keywords":"Environmental science; Eutrophication; Hydrology (agriculture); Water balance; Trophic level; Groundwater; Ecology; Geology; Nutrient","score_opus":0.02462140314759647,"score_gpt":0.23880424651063,"score_spread":0.21418284336303353,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2299275611","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":[0.9990006,0.000080821315,0.000100799916,0.000010079025,8.287179e-7,0.000013885409,0.00029058504,0.000006369286,0.0004961874],"genre_scores_gemma":[0.99760264,0.00010827436,0.00063084246,0.000022473889,0.0000016521791,0.000014356291,0.000723587,0.0000031688471,0.00089301064],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998555,0.000010072443,0.0000074284053,0.00002719614,0.00006383397,0.00003594601],"domain_scores_gemma":[0.99969566,0.000025734262,0.000049355695,0.000008259388,0.00015715542,0.00006383953],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003144011,0.0003562392,0.0002193958,0.0012294105,0.0015168547,0.0007751258,0.0004719354,0.00023044494,0.00046398744],"category_scores_gemma":[0.0003338235,0.00019165722,0.00017919722,0.0016765217,0.00048547666,0.00016864986,0.0004473737,0.00015432187,0.00009637304],"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":[0.00016604521,0.00007047895,0.9832706,0.000027764583,0.00004564798,0.00021080897,0.0010746998,0.00048509028,0.004906296,0.000057064928,0.00022802669,0.0094575165],"study_design_scores_gemma":[0.0000046197715,0.000023725013,0.99775237,0.0000043151276,0.00001611925,0.00003552177,0.00072063843,0.00064193277,0.00038824396,0.000014728779,0.0003938385,0.0000039155475],"about_ca_topic_score_codex":0.89267755,"about_ca_topic_score_gemma":0.96631837,"teacher_disagreement_score":0.107322454,"about_ca_system_score_codex":0.006151403,"about_ca_system_score_gemma":0.003895313,"threshold_uncertainty_score":0.21590894},"labels":[],"label_agreement":null},{"id":"W2560371539","doi":"10.1016/j.ejrh.2016.11.035","title":"Peer review report 2 on “Isotope-based partitioning of streamflow in the oil sands region, northern Alberta: towards a monitoring strategy for assessing flow sources and water quality controls”","year":2016,"lang":"en","type":"article","venue":"Journal of Hydrology Regional Studies","topic":"Groundwater flow and contamination studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Streamflow; Oil sands; Environmental science; Quality (philosophy); Water quality; Hydrology (agriculture); Geology; Geography; Geotechnical engineering; Archaeology; Ecology; Cartography","score_opus":0.07748044777594326,"score_gpt":0.3394835748032104,"score_spread":0.26200312702726714,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2560371539","genre_codex":"editorial","genre_gemma":"other","domain_codex":null,"domain_gemma":"evaluation","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":"evaluation","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.010578831,0.0056234943,0.0053458735,0.16882159,0.61988044,0.003185741,0.008568449,0.00211061,0.17588493],"genre_scores_gemma":[0.019107446,0.0058583687,0.0038700185,0.024456788,0.07761836,0.000647753,0.00973967,0.0011542547,0.85754734],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.98793215,0.0007216655,0.00044277176,0.00065096706,0.009331901,0.00092047144],"domain_scores_gemma":[0.85435486,0.005034498,0.0019237295,0.0026295555,0.1289232,0.007134208],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.008767121,0.0009788522,0.0009686185,0.004267608,0.005087265,0.004955436,0.0035386377,0.005851079,0.1059197],"category_scores_gemma":[0.032220535,0.00052146974,0.0012293274,0.0022379977,0.0013752235,0.0016084082,0.0024281428,0.0022563944,0.047080442],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000059365946,0.00004069766,0.0005213323,0.00020618485,0.000011426002,0.00017132623,0.000074575495,0.000075415504,0.0011142108,0.00029872163,0.98173517,0.015691627],"study_design_scores_gemma":[0.000032882315,0.00006347712,0.00518512,0.00013928769,0.000025728063,0.00006241413,0.0002527404,0.00028388848,0.0012008573,0.00037559395,0.9923449,0.00003316551],"about_ca_topic_score_codex":0.08759636,"about_ca_topic_score_gemma":0.18405801,"teacher_disagreement_score":0.9912329,"about_ca_system_score_codex":0.0048151896,"about_ca_system_score_gemma":0.02478051,"threshold_uncertainty_score":0.35433668},"labels":[],"label_agreement":null},{"id":"W2560984191","doi":"10.1016/j.ejrh.2016.12.064","title":"Peer review report 3 on “Comparative evaluation of the effects of climate and land-cover changes on hydrologic responses of the Muskeg River, Alberta, Canada”","year":2016,"lang":"en","type":"article","venue":"Journal of Hydrology Regional Studies","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Land cover; Cover (algebra); Hydrology (agriculture); Geography; Physical geography; Environmental science; Land use; Ecology; Geology; Biology; Engineering","score_opus":0.04809152349640533,"score_gpt":0.3081682420941764,"score_spread":0.2600767185977711,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2560984191","genre_codex":"other","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"commentary","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.013997085,0.0050980784,0.0039347024,0.13133979,0.3932125,0.009820045,0.030800113,0.0027991768,0.4089985],"genre_scores_gemma":[0.023218384,0.004450445,0.0034092215,0.014474684,0.027777797,0.00157916,0.022733174,0.0012700148,0.90108716],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.97692853,0.0013628572,0.00078980636,0.0008795366,0.0184406,0.0015986846],"domain_scores_gemma":[0.69424516,0.0071345586,0.0019316105,0.004647252,0.28163406,0.010407362],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.013717114,0.0009821254,0.0012940106,0.0067274296,0.008044093,0.00717624,0.004012046,0.005300175,0.25895157],"category_scores_gemma":[0.06363099,0.00054741016,0.0016663427,0.004446393,0.001985727,0.0023601456,0.0034478845,0.001726228,0.09899787],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006759909,0.00004793393,0.00038814897,0.00021944988,0.000011482429,0.00007868676,0.00007752936,0.00005022992,0.00047775384,0.00033128646,0.986019,0.0122309355],"study_design_scores_gemma":[0.000093577524,0.000110117726,0.009908167,0.00029796475,0.000036397636,0.000042459505,0.00052094785,0.00023867503,0.0008932147,0.00048516973,0.98732823,0.000045212353],"about_ca_topic_score_codex":0.18722418,"about_ca_topic_score_gemma":0.3210768,"teacher_disagreement_score":0.81277585,"about_ca_system_score_codex":0.008215434,"about_ca_system_score_gemma":0.048744246,"threshold_uncertainty_score":0.8662793},"labels":[],"label_agreement":null},{"id":"W2565166458","doi":"10.1016/j.ejrh.2016.12.063","title":"Peer review report 2 on “Comparative evaluation of the effects of climate and land-cover changes on hydrologic responses of the Muskeg River, Alberta, Canada”","year":2016,"lang":"en","type":"article","venue":"Journal of Hydrology Regional Studies","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Land cover; Cover (algebra); Environmental science; Hydrology (agriculture); Climate change; Geography; Water resource management; Land use; Ecology; Geology; Oceanography; Engineering","score_opus":0.0473961747687576,"score_gpt":0.30803369862155966,"score_spread":0.26063752385280203,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2565166458","genre_codex":"editorial","genre_gemma":"other","domain_codex":null,"domain_gemma":"evaluation","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":"evaluation","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.013808344,0.0052242912,0.003519224,0.13472225,0.42430523,0.009016152,0.031477828,0.0027310369,0.37519562],"genre_scores_gemma":[0.021860242,0.0043796957,0.0031331542,0.013438324,0.02875316,0.001464874,0.022793086,0.0012439671,0.9029335],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.97967476,0.0012722096,0.0007105733,0.000850577,0.01610195,0.0013899949],"domain_scores_gemma":[0.6924698,0.0070455,0.0019142077,0.00455668,0.28379583,0.010217996],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.012476732,0.0009908557,0.0012959162,0.0068437876,0.007670908,0.0069580143,0.0036967497,0.005062241,0.2760945],"category_scores_gemma":[0.06468803,0.0005572745,0.0015541435,0.0042942734,0.0018294549,0.002404821,0.0033521708,0.0016192549,0.10537369],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000064003725,0.000042320466,0.00036333932,0.00020807039,0.000010441996,0.00006767688,0.00006748083,0.000043497406,0.00042883484,0.0002899519,0.98670375,0.01171058],"study_design_scores_gemma":[0.000093651666,0.00010265877,0.009557642,0.0002868839,0.000034501612,0.000042460986,0.0004972702,0.00023808905,0.00086505536,0.0004548807,0.9877836,0.00004320643],"about_ca_topic_score_codex":0.16307768,"about_ca_topic_score_gemma":0.28849256,"teacher_disagreement_score":0.98752326,"about_ca_system_score_codex":0.0075288867,"about_ca_system_score_gemma":0.04155004,"threshold_uncertainty_score":0.9236281},"labels":[],"label_agreement":null},{"id":"W2698961223","doi":"10.1016/j.ejrh.2017.05.007","title":"Water Isotope framework for lake water balance monitoring and modelling in the Nam Co Basin, Tibetan Plateau","year":2017,"lang":"en","type":"article","venue":"Journal of Hydrology Regional Studies","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":25,"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 Victoria","funders":"Innotech Alberta; Chinese Academy of Sciences; National Natural Science Foundation of China","keywords":"Surface runoff; Plateau (mathematics); Water balance; Hydrology (agriculture); Structural basin; Stable isotope ratio; Environmental science; Meteoric water; Surface water; Watershed; Geology; Drainage basin; Isotope analysis; Isotope; Groundwater; Geomorphology; Geography; Ecology","score_opus":0.05181280804333317,"score_gpt":0.3050499559487602,"score_spread":0.25323714790542706,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2698961223","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":[0.78567517,0.00089898595,0.18980631,0.0013120046,0.000091105736,0.00030316002,0.0040331273,0.0010505535,0.016829628],"genre_scores_gemma":[0.9746129,0.00021372059,0.02184623,0.00007652559,0.000029424538,0.000263163,0.0010800367,0.000066241846,0.0018118868],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99986994,0.000051686886,0.000009615722,0.000030935935,0.000016593069,0.00002124183],"domain_scores_gemma":[0.99988174,0.000035522837,0.000018485967,0.000007465424,0.000037482794,0.000019316933],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006994538,0.0004941459,0.00044847393,0.0006081765,0.0006376329,0.0011788062,0.0013027659,0.0009733254,0.0013547532],"category_scores_gemma":[0.00082160585,0.00033948215,0.000647344,0.0007453866,0.00043033,0.0005801583,0.0008056632,0.00044329153,0.00011333722],"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":[0.00003610786,0.00005241132,0.00949472,0.000030774816,0.000052258645,0.00011199319,0.000044760996,0.9809503,0.001131968,0.0035646954,0.000483431,0.004046605],"study_design_scores_gemma":[0.000008682408,0.0000055561377,0.0011783063,0.0000032404953,0.0000065928557,0.000004434638,0.00001702261,0.9978466,0.000063316555,0.0005292479,0.00033303857,0.000004044516],"about_ca_topic_score_codex":0.13320443,"about_ca_topic_score_gemma":0.0985991,"teacher_disagreement_score":0.13320443,"about_ca_system_score_codex":0.0016858203,"about_ca_system_score_gemma":0.0027080728,"threshold_uncertainty_score":0.2648582},"labels":[],"label_agreement":null},{"id":"W2787675168","doi":"10.1016/j.ejrh.2018.01.003","title":"Modelling the Athabasca watershed snow response to a changing climate","year":2018,"lang":"en","type":"article","venue":"Journal of Hydrology Regional Studies","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":41,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Environment and Climate Change Canada; Alberta Environment and Protected Areas; University of Victoria","funders":"Environment and Climate Change Canada; University of Victoria; University of Washington","keywords":"Snowmelt; Watershed; Snow; Environmental science; Structural basin; Hydrology (agriculture); Drainage basin; Climate change; Infiltration (HVAC); Snowpack; Elevation (ballistics); Spring (device); Climatology; Geology; Geography; Meteorology; Geomorphology","score_opus":0.06370514079726852,"score_gpt":0.27433221351718734,"score_spread":0.21062707271991882,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2787675168","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":[0.99265987,0.000069540125,0.0011311944,0.00031092422,0.000013047624,0.000025219844,0.0016070539,0.00012013634,0.004063021],"genre_scores_gemma":[0.99807394,0.000039033315,0.0006638053,0.000017242626,0.0000030787048,0.000012694553,0.00045124892,0.000011042481,0.00072789215],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99991715,0.000020783602,0.000004147525,0.00001851238,0.000012456296,0.000026940956],"domain_scores_gemma":[0.99988186,0.000039652186,0.00001897535,0.0000068662393,0.000023658034,0.000029092693],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013076281,0.00041057394,0.0001915909,0.0002952779,0.000497648,0.0006850884,0.0006753754,0.0006235208,0.0015874594],"category_scores_gemma":[0.00036637924,0.0001754074,0.0003696617,0.00048297056,0.00024727176,0.00028691508,0.00028050446,0.00031652924,0.00010309485],"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":[0.00007552108,0.000084991894,0.02151018,0.00003266782,0.00004794688,0.0001941758,0.00005890642,0.97067505,0.0031902704,0.0008471792,0.00084957486,0.0024335668],"study_design_scores_gemma":[0.000036781395,0.000030354391,0.019548902,0.000005112665,0.000019964999,0.000019500316,0.00012686684,0.9789367,0.00034737022,0.00026067533,0.0006532286,0.000014575535],"about_ca_topic_score_codex":0.48279548,"about_ca_topic_score_gemma":0.47219136,"teacher_disagreement_score":0.5172045,"about_ca_system_score_codex":0.0021961294,"about_ca_system_score_gemma":0.0016036578,"threshold_uncertainty_score":0.9599706},"labels":[],"label_agreement":null},{"id":"W2801322743","doi":"10.1016/j.ejrh.2018.04.006","title":"Isotopic and geochemical surveys of lakes in coastal B.C.: Insights into regional water balance and water quality controls","year":2018,"lang":"en","type":"article","venue":"Journal of Hydrology Regional Studies","topic":"Groundwater and Isotope Geochemistry","field":"Earth and Planetary Sciences","cited_by":15,"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 Victoria","funders":"Innotech Alberta; Environment and Climate Change Canada","keywords":"Water quality; Hydrology (agriculture); Watershed; Water balance; Drainage basin; Geology; Elevation (ballistics); Lithology; Environmental science; Physical geography; Geochemistry; Geography; Ecology","score_opus":0.02734044497127362,"score_gpt":0.2650009975683454,"score_spread":0.23766055259707178,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2801322743","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":[0.99855644,0.00007568933,0.00005686976,0.000013328984,4.860948e-7,0.000010735501,0.00035736524,0.0000031246082,0.00092604343],"genre_scores_gemma":[0.9982864,0.00013299944,0.00037883912,0.000014238912,9.618698e-7,0.0000115653065,0.00046843739,0.000002139889,0.0007044335],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99986815,0.000013321151,0.000008566857,0.000032266973,0.000046813373,0.000030779822],"domain_scores_gemma":[0.99958915,0.000028044098,0.000075049036,0.000012735985,0.00022526084,0.000069806185],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000143673,0.0001654774,0.00017942941,0.0011723232,0.001025124,0.0005941143,0.0003123206,0.00017284509,0.0005247514],"category_scores_gemma":[0.00040293057,0.00013170259,0.00007753079,0.0023939405,0.00034007753,0.00015607133,0.00040869246,0.00017632365,0.00011509855],"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":[0.000050087892,0.000021787368,0.98305285,0.000028000037,0.000016700766,0.00009440024,0.0010240087,0.00014693107,0.0058632893,0.000042914293,0.0001606496,0.009498324],"study_design_scores_gemma":[8.1849635e-7,0.000010396402,0.9987342,0.000002874016,0.00000344186,0.000020893374,0.0006214023,0.00008980359,0.0002468013,0.0000054337597,0.000262132,0.0000018211545],"about_ca_topic_score_codex":0.8155457,"about_ca_topic_score_gemma":0.94673693,"teacher_disagreement_score":0.18445432,"about_ca_system_score_codex":0.0026303714,"about_ca_system_score_gemma":0.0023632408,"threshold_uncertainty_score":0.37108117},"labels":[],"label_agreement":null},{"id":"W2885214045","doi":"10.1016/j.ejrh.2018.06.010","title":"The impact of bias correcting regional climate model results on hydrological indicators for Bavarian catchments","year":2018,"lang":"en","type":"article","venue":"Journal of Hydrology Regional Studies","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":54,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ouranos","funders":"Bayerisches Landesamt für Umwelt; Umweltbundesamt","keywords":"Environmental science; Quantile; Surface runoff; Climate change; Drainage basin; Scaling; Hydrology (agriculture); Climatology; Statistics; Geography; Mathematics; Geology; Cartography","score_opus":0.0843104094608688,"score_gpt":0.3454147725606746,"score_spread":0.2611043630998058,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2885214045","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":[0.9964418,0.00017673628,0.002025039,0.00008162728,0.000016841464,0.0000110083065,0.000552883,0.0001359821,0.0005582187],"genre_scores_gemma":[0.9979777,0.00008153167,0.001071175,0.000009728454,0.000006455011,0.000008038571,0.00071134244,0.00003180736,0.00010236626],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991498,0.00045124817,0.000045872403,0.00011931439,0.00015063031,0.000083090104],"domain_scores_gemma":[0.9978263,0.00132297,0.00024878143,0.0002160416,0.0003079042,0.0000779494],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002072547,0.00047805818,0.00029091953,0.00078564003,0.00021982296,0.000891452,0.00037179174,0.0004940774,0.00045243985],"category_scores_gemma":[0.00549024,0.00015268897,0.00043346392,0.0010861135,0.00027611604,0.00048996595,0.00049905886,0.00031378394,0.00009810333],"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":[0.0006235389,0.00029856616,0.3481337,0.00015449693,0.00072394963,0.00027546077,0.00022775143,0.5766538,0.009425147,0.0013654534,0.001779607,0.060338546],"study_design_scores_gemma":[0.0001176724,0.00021962431,0.34438333,0.000043333992,0.00028174242,0.00006897906,0.00017355695,0.6394195,0.011604345,0.00088758295,0.0027368893,0.000063465515],"about_ca_topic_score_codex":0.034255724,"about_ca_topic_score_gemma":0.024362225,"teacher_disagreement_score":0.034255724,"about_ca_system_score_codex":0.0011642305,"about_ca_system_score_gemma":0.0007256306,"threshold_uncertainty_score":0.06811267},"labels":[],"label_agreement":null},{"id":"W2908732043","doi":"10.1016/j.ejrh.2018.12.008","title":"Hydrological variability affects particulate nitrogen and phosphorus in streams of the Northern Great Plains","year":2019,"lang":"en","type":"article","venue":"Journal of Hydrology Regional Studies","topic":"Soil and Water Nutrient Dynamics","field":"Environmental Science","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Wilfrid Laurier University; Western University; Environment and Climate Change Canada","funders":"Environment and Climate Change Canada","keywords":"Snowmelt; Environmental science; Nutrient; STREAMS; Hydrology (agriculture); Particulates; Phosphorus; Water year; Discharge; Precipitation; Streamflow; Surface runoff; Drainage basin; Ecology; Geography; Geology; Biology; Chemistry","score_opus":0.011843821887303927,"score_gpt":0.22339558197922038,"score_spread":0.21155176009191645,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2908732043","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":[0.99925977,0.000038007056,0.000039122016,0.000038707436,0.0000011576898,0.000005672545,0.00023305448,0.0000031501488,0.0003812864],"genre_scores_gemma":[0.999426,0.000046692418,0.000064177955,0.000015456448,0.0000015621971,0.000004018554,0.00022774684,0.0000014450718,0.00021290645],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998337,0.000025769401,0.00000908581,0.00004293387,0.000046762725,0.000041789826],"domain_scores_gemma":[0.9996252,0.000065250504,0.0000859458,0.000016026599,0.00012632708,0.00008130444],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002478049,0.00011972752,0.00015751856,0.00045935911,0.0007171828,0.00076442456,0.00034242595,0.00017085616,0.0006948092],"category_scores_gemma":[0.0008466404,0.00011055076,0.0001467062,0.0011792459,0.0006324617,0.00022218004,0.00042146357,0.00019228012,0.00005475455],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000031120784,0.000019517693,0.9956839,0.00000869143,0.00003762413,0.00006800776,0.000550188,0.00025674698,0.0008471625,0.00004186334,0.00015519209,0.002300119],"study_design_scores_gemma":[8.879865e-7,0.0000024398807,0.99941254,0.0000012531744,0.0000029019434,0.000007969434,0.0003134459,0.00014482836,0.000018990535,0.0000064587703,0.000087265114,0.0000011226208],"about_ca_topic_score_codex":0.8921325,"about_ca_topic_score_gemma":0.95376986,"teacher_disagreement_score":0.8921325,"about_ca_system_score_codex":0.0035999597,"about_ca_system_score_gemma":0.004067728,"threshold_uncertainty_score":0.21700543},"labels":[],"label_agreement":null},{"id":"W2947569491","doi":"10.1016/j.ejrh.2019.100608","title":"Evaluation of variability among different precipitation products in the Northern Great Plains","year":2019,"lang":"en","type":"article","venue":"Journal of Hydrology Regional Studies","topic":"Climate variability and models","field":"Environmental Science","cited_by":107,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Agriculture and Agri-Food Canada; University of Waterloo; University of Toronto","funders":"Agriculture and Agri-Food Canada; Environment and Climate Change Canada; National Oceanic and Atmospheric Administration; Manitoba Agriculture, Food and Rural Development","keywords":"Precipitation; Environmental science; Climatology; Spring (device); Drainage basin; Structural basin; Geography; Meteorology; Geology","score_opus":0.06728021710580646,"score_gpt":0.29775137170690735,"score_spread":0.2304711546011009,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2947569491","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":[0.99674547,0.000037760994,0.00053961546,0.000036078727,0.0000041976423,0.000019096286,0.001528533,0.000075744254,0.0010134585],"genre_scores_gemma":[0.9926171,0.000037487505,0.0017377627,0.000015889123,0.000009142815,0.00002763931,0.0050734766,0.000021821832,0.00045971296],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995128,0.00012265662,0.000036057856,0.00012939589,0.0001598568,0.000039158087],"domain_scores_gemma":[0.99904734,0.00027780252,0.00017394456,0.00009625755,0.00032851344,0.000076070064],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001168178,0.00030108303,0.00021513396,0.0008382458,0.0002848651,0.0008357032,0.0002934825,0.00019827248,0.00046087513],"category_scores_gemma":[0.0018529615,0.00012387369,0.00023684112,0.0014193598,0.00024081799,0.00029796045,0.00034910743,0.0001730745,0.00014041316],"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":[0.00034545537,0.00020276883,0.9162794,0.00007643988,0.0003380949,0.0005235375,0.0005925604,0.031436514,0.006429662,0.00030408337,0.0021580504,0.041313466],"study_design_scores_gemma":[0.000027338468,0.000060076214,0.97050023,0.000007942833,0.0000375862,0.000076323835,0.0003051556,0.026585534,0.0010181448,0.000053697913,0.0013146553,0.000013295983],"about_ca_topic_score_codex":0.067772456,"about_ca_topic_score_gemma":0.09127089,"teacher_disagreement_score":0.067772456,"about_ca_system_score_codex":0.0005907735,"about_ca_system_score_gemma":0.00060289487,"threshold_uncertainty_score":0.13475591},"labels":[],"label_agreement":null},{"id":"W2955290166","doi":"10.1016/j.ejrh.2019.100615","title":"Simulated surface and shallow groundwater resources in the Abaya-Chamo Lake basin, Ethiopia using a spatially-distributed water balance model","year":2019,"lang":"en","type":"article","venue":"Journal of Hydrology Regional Studies","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":50,"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 Waterloo","funders":"University of Waterloo; Styrelsen för Internationellt Utvecklingssamarbete","keywords":"Baseflow; Groundwater recharge; Groundwater; Hydrology (agriculture); Evapotranspiration; Surface runoff; Water balance; Streamflow; Surface water; Geology; Groundwater flow; Structural basin; Aquifer; Precipitation; Environmental science; Drainage basin; Geomorphology; Geography; Ecology","score_opus":0.029059744402885956,"score_gpt":0.26154243902769336,"score_spread":0.23248269462480742,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2955290166","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":[0.9979334,0.00002511474,0.0005834913,0.000043893506,0.0000056790795,0.000012292505,0.0005496134,0.00003289159,0.00081357954],"genre_scores_gemma":[0.99880743,0.00002354104,0.0005508058,0.00000979916,0.0000015130865,0.00001655108,0.00030930233,0.0000039289657,0.0002770504],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999318,0.000020929183,0.0000045954453,0.00001584329,0.0000071623003,0.000019599967],"domain_scores_gemma":[0.9998301,0.00007379303,0.000019941503,0.000011051009,0.000033045308,0.000032044038],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000250676,0.0004806604,0.00038936696,0.00032910093,0.0003888382,0.0006359948,0.0005504222,0.0009093058,0.0012697394],"category_scores_gemma":[0.00041915532,0.0002814477,0.00041052536,0.000490885,0.00040005028,0.00041102973,0.00034796112,0.00034179876,0.00009260569],"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":[0.000119986886,0.00009607092,0.013295773,0.00002457766,0.000040050192,0.00016522729,0.00004672323,0.9831094,0.0014316929,0.00034817157,0.00017516525,0.001147297],"study_design_scores_gemma":[0.000080106496,0.00008033632,0.008067168,0.000006871336,0.000023101384,0.000015190926,0.00013769462,0.9905183,0.0007126499,0.00014510228,0.00019916549,0.000014352281],"about_ca_topic_score_codex":0.05182845,"about_ca_topic_score_gemma":0.038946208,"teacher_disagreement_score":0.05182845,"about_ca_system_score_codex":0.00094957976,"about_ca_system_score_gemma":0.0010386414,"threshold_uncertainty_score":0.10305351},"labels":[],"label_agreement":null},{"id":"W3037320463","doi":"10.1016/j.ejrh.2020.100703","title":"Development of a time-varying MODIS/ 2D hydrodynamic model relationship between water levels and flooded areas in the Inner Niger Delta, Mali, West Africa","year":2020,"lang":"en","type":"article","venue":"Journal of Hydrology Regional Studies","topic":"Flood Risk Assessment and Management","field":"Environmental Science","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"United Nations University Institute for Water, Environment, and Health; University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Niger delta; Delta; Geography; River delta; Environmental science; Hydrology (agriculture); Physical geography; Water resource management; Geology; Geotechnical engineering; Engineering","score_opus":0.08523276875283649,"score_gpt":0.2818869256698247,"score_spread":0.19665415691698823,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3037320463","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":[0.9241528,0.00023997227,0.066524744,0.00051818026,0.00009389334,0.00015632443,0.001210525,0.0008242847,0.006279334],"genre_scores_gemma":[0.9840284,0.00011132702,0.014185022,0.000030240284,0.000010763242,0.00007329489,0.00040415936,0.000021094418,0.0011357961],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999318,0.000012242967,0.0000065444883,0.000023842755,0.000012706086,0.000012791387],"domain_scores_gemma":[0.99987257,0.0000376378,0.000020577996,0.00000769667,0.000042251384,0.000019240235],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022304028,0.00054739165,0.00035832252,0.00034688154,0.0003809965,0.00092491676,0.00068126264,0.00075569365,0.00089671207],"category_scores_gemma":[0.0004993748,0.00038294776,0.00042078778,0.00024339734,0.00017841873,0.00043561065,0.0004406957,0.0005621272,0.00019601906],"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":[0.000032405394,0.00008135738,0.009873644,0.000022721988,0.000023832203,0.00013294375,0.000048314992,0.980682,0.0024625012,0.00039898133,0.00032990112,0.005911376],"study_design_scores_gemma":[0.000005212,0.000007874705,0.0008960937,0.0000020012753,0.0000038932794,0.000004980008,0.000010760664,0.99868685,0.0002186585,0.000034626242,0.00012533016,0.0000037173252],"about_ca_topic_score_codex":0.061461385,"about_ca_topic_score_gemma":0.033148136,"teacher_disagreement_score":0.061461385,"about_ca_system_score_codex":0.0007947467,"about_ca_system_score_gemma":0.0010832807,"threshold_uncertainty_score":0.122207284},"labels":[],"label_agreement":null},{"id":"W3047885711","doi":"10.1016/j.ejrh.2020.100716","title":"Hydrogeochemical processes and long-term effects of sea-level rise in an uplifted atoll island of Minami-Daito, Japan","year":2020,"lang":"en","type":"article","venue":"Journal of Hydrology Regional Studies","topic":"Groundwater and Isotope Geochemistry","field":"Earth and Planetary Sciences","cited_by":14,"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 du Québec à Montréal","funders":"Japan Science and Technology Agency","keywords":"Groundwater; Seawater; Atoll; Salinity; Dolomite; Geology; δ18O; Aquifer; Calcite; Hydrology (agriculture); Geochemistry; Oceanography; Stable isotope ratio; Surface water; Environmental science","score_opus":0.03115327394700252,"score_gpt":0.25334400469839474,"score_spread":0.22219073075139223,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3047885711","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":[0.99984944,0.00002265832,0.000010392747,0.000013749206,0.0000016473113,0.000001758789,0.00003291391,8.8868825e-7,0.00006653239],"genre_scores_gemma":[0.9995925,0.000047122565,0.00005078743,0.00001980285,0.0000042772867,0.000005682145,0.00014529646,0.0000011696474,0.00013339156],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9999087,0.000010578108,0.00000949917,0.000027479105,0.00001374416,0.000030026105],"domain_scores_gemma":[0.9997836,0.000014473801,0.000053238848,0.000008443161,0.00005463006,0.00008560903],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015980157,0.0003360262,0.00029851944,0.00048391204,0.00071605394,0.00055058877,0.0003343889,0.0003382418,0.00043469993],"category_scores_gemma":[0.00021795095,0.00024485908,0.0003182237,0.00060198654,0.0005539667,0.00040456362,0.0006052078,0.00029865667,0.000084966625],"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":[0.00019058437,0.00015962859,0.9719526,0.00004031027,0.00013169704,0.0010231776,0.0015354311,0.00037476176,0.021162622,0.000044122877,0.00017876532,0.0032063422],"study_design_scores_gemma":[0.000004372365,0.000036734462,0.9984302,0.0000018425037,0.000019073623,0.00003185722,0.0008751517,0.00029567527,0.0001832877,0.0000083128225,0.000108983426,0.0000044027215],"about_ca_topic_score_codex":0.08403718,"about_ca_topic_score_gemma":0.18271889,"teacher_disagreement_score":0.08403718,"about_ca_system_score_codex":0.0012845461,"about_ca_system_score_gemma":0.0006464007,"threshold_uncertainty_score":0.16709608},"labels":[],"label_agreement":null},{"id":"W3109630103","doi":"10.1016/j.ejrh.2020.100754","title":"18O and 2H in streamflow across Canada","year":2020,"lang":"en","type":"article","venue":"Journal of Hydrology Regional Studies","topic":"Groundwater and Isotope Geochemistry","field":"Earth and Planetary Sciences","cited_by":36,"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 Manitoba; University of Calgary; University of Victoria","funders":"Innotech Alberta; Environment and Climate Change Canada","keywords":"Streamflow; δ18O; Tributary; Precipitation; Snow; Hydrology (agriculture); Environmental science; Permafrost; Arctic; Drainage basin; Meteoric water; Physical geography; Stable isotope ratio; Climatology; Geology; Groundwater; Geography; Oceanography; Meteorology; Geomorphology","score_opus":0.03420411859028554,"score_gpt":0.24250802649606493,"score_spread":0.20830390790577938,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3109630103","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":[0.9300269,0.0012058308,0.00077108573,0.00033240567,0.000026486226,0.000048677593,0.054325666,0.00013712878,0.013125828],"genre_scores_gemma":[0.977714,0.00074161467,0.0011381808,0.00011175717,0.0000062671647,0.000028087672,0.015054658,0.000031525746,0.0051738895],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996815,0.000009349133,0.0000104538485,0.00010171589,0.00012625831,0.000070759816],"domain_scores_gemma":[0.99938583,0.000017282258,0.000047650454,0.000015083027,0.0004595221,0.00007464287],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023080163,0.00025650434,0.0001842745,0.0015651919,0.0015652165,0.000869372,0.00034280928,0.00013422713,0.002087692],"category_scores_gemma":[0.0004893172,0.00013905861,0.00023575968,0.004213941,0.00025104935,0.00019516973,0.00038384355,0.00024675316,0.00022964834],"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":[0.00017364837,0.00003186913,0.92033136,0.00009633938,0.00016505721,0.00017420485,0.0013225258,0.0017147986,0.00394927,0.0010206675,0.012962842,0.058057353],"study_design_scores_gemma":[0.00000388275,0.000004710061,0.99139166,0.000015770687,0.00001287284,0.000022444658,0.0003255456,0.0005795262,0.00028780304,0.000050321592,0.007294171,0.000011295036],"about_ca_topic_score_codex":0.99464285,"about_ca_topic_score_gemma":0.997493,"teacher_disagreement_score":0.016424078,"about_ca_system_score_codex":0.016424078,"about_ca_system_score_gemma":0.017480288,"threshold_uncertainty_score":0.11916554},"labels":[],"label_agreement":null},{"id":"W3156653271","doi":"10.1016/j.ejrh.2021.100820","title":"Future trend and sensitivity analysis of evapotranspiration in the Senegal River Basin","year":2021,"lang":"en","type":"article","venue":"Journal of Hydrology Regional Studies","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":22,"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":"Langley Research Center; National Aeronautics and Space Administration","keywords":"Evapotranspiration; Environmental science; Climatology; Climate change; Drainage basin; Structural basin; Representative Concentration Pathways; Relative humidity; General Circulation Model; Geography; Geology; Meteorology; Ecology; Biology","score_opus":0.016047816123923368,"score_gpt":0.24340366399094476,"score_spread":0.2273558478670214,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3156653271","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":[0.9986739,0.00012786857,0.00023278482,0.000055865054,0.000004869921,0.0000049771083,0.0005225425,0.000012322868,0.00036475694],"genre_scores_gemma":[0.99921656,0.00009783938,0.00018757564,0.000009109633,0.0000016849905,0.000006972951,0.0003824985,0.0000028390982,0.00009492763],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99979144,0.000086399545,0.000018451787,0.000045420682,0.000024910325,0.00003331422],"domain_scores_gemma":[0.9996748,0.00013193037,0.00006917673,0.000038066162,0.00007017121,0.000015881236],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00083758985,0.00030742577,0.0001796427,0.0006570146,0.00021770896,0.0005439099,0.00025484918,0.0002448801,0.00060762226],"category_scores_gemma":[0.0014977005,0.00012050614,0.00042974908,0.0011457703,0.0002154856,0.0005278428,0.00035262093,0.00020700786,0.00005145031],"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":[0.00042168246,0.000079930775,0.67088467,0.00017468962,0.0008466234,0.0012525236,0.0004776425,0.2966351,0.0070713744,0.0013119437,0.00071482843,0.020129023],"study_design_scores_gemma":[0.00003796908,0.00016318569,0.8149126,0.00004600503,0.00029567786,0.00028823124,0.00094160484,0.17426015,0.0047918228,0.00074267824,0.0034754446,0.00004454404],"about_ca_topic_score_codex":0.049247127,"about_ca_topic_score_gemma":0.042753305,"teacher_disagreement_score":0.049247127,"about_ca_system_score_codex":0.0009792397,"about_ca_system_score_gemma":0.0004324235,"threshold_uncertainty_score":0.097920954},"labels":[],"label_agreement":null},{"id":"W3171697718","doi":"10.1016/j.ejrh.2021.100846","title":"A parsimonious water budget model for Canadian agricultural conditions","year":2021,"lang":"en","type":"article","venue":"Journal of Hydrology Regional Studies","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"National Research Council Canada; Millar College of the Bible; National Association of Friendship Centres; Environment and Climate Change Canada; University of Fredericton; Brandon University; University of Saskatchewan; Agriculture and Agri-Food Canada","funders":"Agriculture and Agri-Food Canada","keywords":"Evapotranspiration; Soil water; Surface runoff; Environmental science; Water balance; Hydrology (agriculture); Hydrological modelling; Agriculture; Simulation modeling; Calibration; Water content; Agricultural engineering; Computer science; Soil science; Geography; Statistics; Mathematics; Ecology; Engineering","score_opus":0.021901636897409094,"score_gpt":0.24419507859152573,"score_spread":0.22229344169411663,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3171697718","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":[0.7280734,0.0005146357,0.21206917,0.0012835248,0.00008784468,0.00046428308,0.0186468,0.0013494518,0.037510876],"genre_scores_gemma":[0.9545142,0.00030181254,0.03341203,0.00009640824,0.000016417269,0.00022380834,0.0030026138,0.00009145725,0.008341314],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998697,0.000011558842,0.000006100273,0.000046907742,0.000028587789,0.000037088786],"domain_scores_gemma":[0.99982846,0.000041605334,0.000015905081,0.000007743197,0.00008900606,0.000017234202],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025388997,0.0007012309,0.00039237904,0.0008818242,0.0010984883,0.000966298,0.0019619016,0.00079727604,0.00248129],"category_scores_gemma":[0.00083358533,0.00047854581,0.00050650653,0.0012383336,0.00047524757,0.0007622231,0.00046220733,0.0005961816,0.00025619005],"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":[0.000016763976,0.00001586868,0.0025474243,0.000015456251,0.000010547507,0.000043165543,0.00003608543,0.98918754,0.00051633554,0.0028091278,0.00069769745,0.004103956],"study_design_scores_gemma":[0.000011041612,0.0000034557368,0.0010565588,0.0000020901398,0.000006813031,0.000007763479,0.000016378235,0.9974511,0.00009691738,0.0006312892,0.00070923247,0.0000073065144],"about_ca_topic_score_codex":0.91381073,"about_ca_topic_score_gemma":0.89926475,"teacher_disagreement_score":0.08618927,"about_ca_system_score_codex":0.0087918565,"about_ca_system_score_gemma":0.011477703,"threshold_uncertainty_score":0.17339367},"labels":[],"label_agreement":null},{"id":"W3185009911","doi":"10.1016/j.ejrh.2021.100868","title":"Interdecadal variability of streamflow in the Hudson Bay Lowlands watersheds driven by atmospheric circulation","year":2021,"lang":"en","type":"article","venue":"Journal of Hydrology Regional Studies","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Ouranos; Université du Québec à Montréal; Geological Survey of Canada; Natural Resources Canada; McMaster University","funders":"Natural Resources Canada","keywords":"Streamflow; Climatology; Bay; Atmospheric circulation; Precipitation; Environmental science; North Atlantic oscillation; Pacific decadal oscillation; Teleconnection; Climate change; Oceanography; Geology; Sea surface temperature; Geography; Drainage basin; El Niño Southern Oscillation; Meteorology","score_opus":0.03835084632319164,"score_gpt":0.26920029042650817,"score_spread":0.23084944410331654,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3185009911","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":[0.9982052,0.0000698092,0.000057359546,0.00006617064,0.000006568178,0.0000053260724,0.0010445592,0.00001125336,0.00053377124],"genre_scores_gemma":[0.99859494,0.000054247572,0.000087392524,0.000014382856,0.0000030100327,0.0000056871604,0.0007300551,0.0000026594244,0.00050763943],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99982905,0.000019218603,0.000011963,0.00004825174,0.000039645667,0.00005185807],"domain_scores_gemma":[0.99948955,0.000060594462,0.0001043613,0.000025182178,0.00018477564,0.00013551842],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029855987,0.00014989957,0.00015598534,0.00056740653,0.00045050084,0.00075350504,0.00035366812,0.0001360266,0.00097356644],"category_scores_gemma":[0.0008416437,0.0001247096,0.00017620953,0.0011419528,0.0003396227,0.00021954041,0.00037547885,0.0002119852,0.00009041652],"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":[0.000051733754,0.000022706774,0.99241006,0.000014422942,0.00005132397,0.000111272966,0.00049925706,0.0009997028,0.0008289566,0.00013073526,0.0010095137,0.00387034],"study_design_scores_gemma":[0.000003645312,0.000003891662,0.9977837,0.0000051317643,0.000008899891,0.0000072787893,0.00027263386,0.001383995,0.00006306399,0.000012340308,0.00045248296,0.0000028939219],"about_ca_topic_score_codex":0.93748593,"about_ca_topic_score_gemma":0.9658503,"teacher_disagreement_score":0.06251407,"about_ca_system_score_codex":0.007346904,"about_ca_system_score_gemma":0.004945817,"threshold_uncertainty_score":0.12576437},"labels":[],"label_agreement":null},{"id":"W3188455623","doi":"10.1016/j.ejrh.2021.100878","title":"Isotopic constraints on water balance and evapotranspiration partitioning in gauged watersheds across Canada","year":2021,"lang":"en","type":"article","venue":"Journal of Hydrology Regional Studies","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":32,"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 Manitoba; University of Calgary; University of Victoria","funders":"","keywords":"Evapotranspiration; Environmental science; Transpiration; Surface runoff; Hydrology (agriculture); Streamflow; Water balance; Watershed; Precipitation; Drainage basin; Ecology; Geology; Geography; Chemistry","score_opus":0.022786724771990133,"score_gpt":0.2617720472944597,"score_spread":0.23898532252246957,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3188455623","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":[0.9970661,0.000093717135,0.000261802,0.00003128575,0.0000013609155,0.000010238758,0.0015047716,0.000020305788,0.0010104587],"genre_scores_gemma":[0.9974738,0.000099247394,0.00058558787,0.000016714443,8.5708e-7,0.000007892272,0.001436253,0.0000073619717,0.0003722752],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99971455,0.000014506241,0.0000121306175,0.000070720336,0.00010263149,0.0000854686],"domain_scores_gemma":[0.99947196,0.000041445266,0.00007082302,0.000020991623,0.0003045173,0.00009026926],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031728306,0.00018158545,0.000266342,0.0011124924,0.0012986282,0.0009032183,0.00063453836,0.00015848095,0.0005540636],"category_scores_gemma":[0.0008759884,0.00017572311,0.00023530897,0.0028632854,0.0005785741,0.00019877769,0.00047859005,0.00026090085,0.000053635173],"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":[0.00009923836,0.00003666574,0.9764366,0.000023485709,0.00006473638,0.000112633716,0.000795404,0.0032841237,0.0045480067,0.00041817842,0.0008433611,0.013337639],"study_design_scores_gemma":[0.0000037414175,0.000004833634,0.9947857,0.000007783785,0.0000120053155,0.000020271445,0.00041563914,0.0033631872,0.0004852326,0.000045761197,0.0008466824,0.000009064983],"about_ca_topic_score_codex":0.9909244,"about_ca_topic_score_gemma":0.99620146,"teacher_disagreement_score":0.017247787,"about_ca_system_score_codex":0.017247787,"about_ca_system_score_gemma":0.012239153,"threshold_uncertainty_score":0.12514204},"labels":[],"label_agreement":null},{"id":"W319457187","doi":"10.1016/j.ejrh.2015.04.004","title":"Assessing climate change impacts on water availability of snowmelt-dominated basins of the Upper Rio Grande basin","year":2015,"lang":"en","type":"article","venue":"Journal of Hydrology Regional Studies","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":66,"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":"Office of Experimental Program to Stimulate Competitive Research; BC Cancer Agency; Bureau of Reclamation; New Mexico Space Grant Consortium; National Science Foundation","keywords":"Snowmelt; Environmental science; Climate change; Water year; Streamflow; Surface runoff; Hydrology (agriculture); Structural basin; Snow; Hydrograph; Climatology; Climate model; Drainage basin; Water resources; Physical geography; Geography; Meteorology; Geology; Ecology","score_opus":0.07515582795711909,"score_gpt":0.3081748772626185,"score_spread":0.2330190493054994,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W319457187","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":[0.99843234,0.000034842975,0.000108381886,0.00008447901,0.0000017720101,0.000008436826,0.00047845006,0.000017566474,0.00083370233],"genre_scores_gemma":[0.99890614,0.000039281007,0.00019644664,0.00001340789,0.0000024124915,0.000020144449,0.0005610707,0.000004461216,0.00025676558],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99987817,0.00003841661,0.000004565617,0.000032056825,0.000019747735,0.00002699126],"domain_scores_gemma":[0.9997248,0.00009123028,0.000056379766,0.00002213847,0.00004975857,0.000055593933],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021923397,0.00024488664,0.00022913021,0.0002260825,0.00035096216,0.0005790808,0.00056989264,0.0003252429,0.0010036243],"category_scores_gemma":[0.0007134634,0.00020499947,0.0003352063,0.00038373144,0.00027715863,0.00030861952,0.0003360725,0.00020689025,0.00006667652],"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":[0.00019034519,0.00018398323,0.826024,0.00006288404,0.00031870377,0.0004123806,0.00039733594,0.15889777,0.0041409535,0.0005900338,0.0019018145,0.0068797288],"study_design_scores_gemma":[0.00007287119,0.00009663869,0.8683009,0.00001945777,0.000086950975,0.000059075956,0.00078120246,0.12711948,0.0009585803,0.0002499913,0.0022343416,0.000020479893],"about_ca_topic_score_codex":0.24835025,"about_ca_topic_score_gemma":0.35223225,"teacher_disagreement_score":0.24835025,"about_ca_system_score_codex":0.0015006042,"about_ca_system_score_gemma":0.0009298305,"threshold_uncertainty_score":0.4938094},"labels":[],"label_agreement":null},{"id":"W3197288434","doi":"10.1016/j.ejrh.2021.100896","title":"Effects of climate change on terrestrial water storage and basin discharge in the lancang River Basin","year":2021,"lang":"en","type":"article","venue":"Journal of Hydrology Regional Studies","topic":"Geophysics and Gravity Measurements","field":"Earth and Planetary Sciences","cited_by":35,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Structural basin; Evapotranspiration; Climate change; Environmental science; Plateau (mathematics); Precipitation; Drainage basin; Hydrology (agriculture); Monsoon; Climatology; Water storage; Discharge; Geology; Geomorphology; Oceanography; Meteorology; Geography","score_opus":0.043254747553728934,"score_gpt":0.2525919086339541,"score_spread":0.20933716108022515,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3197288434","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":[0.9992079,0.00005827493,0.000048608174,0.00006200974,0.0000018589328,0.000001404693,0.00020646569,0.00000768217,0.00040585294],"genre_scores_gemma":[0.99971575,0.00002973787,0.000023221315,0.000009467332,0.000001469488,0.0000017790356,0.00012082009,0.0000012278043,0.00009656264],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9999143,0.000018202252,0.000010169393,0.00002092379,0.000015228566,0.000021129405],"domain_scores_gemma":[0.9997664,0.000044207918,0.00007013201,0.00001941117,0.000056629782,0.000043269425],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014805995,0.000121289835,0.0001241871,0.00044695655,0.00026996853,0.000497779,0.00014333762,0.00016178859,0.0007235021],"category_scores_gemma":[0.00045181447,0.00006890176,0.0002222582,0.00087171444,0.00030717324,0.0003471399,0.00034438126,0.00016241042,0.00005680045],"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":[0.00010411972,0.00003452331,0.9809215,0.000030574556,0.00010466099,0.0004553291,0.0005536571,0.0031202286,0.0048655546,0.0002458681,0.00040987867,0.009154067],"study_design_scores_gemma":[0.000003067928,0.0000113993,0.99641824,0.0000035554392,0.000016889962,0.00003377688,0.00037929878,0.0024915964,0.00024912294,0.000062084204,0.0003234302,0.0000075845965],"about_ca_topic_score_codex":0.07605782,"about_ca_topic_score_gemma":0.114181876,"teacher_disagreement_score":0.07605782,"about_ca_system_score_codex":0.00079085224,"about_ca_system_score_gemma":0.0004914288,"threshold_uncertainty_score":0.15123022},"labels":[],"label_agreement":null},{"id":"W4200314936","doi":"10.1016/j.ejrh.2021.100982","title":"Hydrological performance of ERA5 and MERRA-2 precipitation products over the Great Lakes Basin","year":2021,"lang":"en","type":"article","venue":"Journal of Hydrology Regional Studies","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":16,"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 Waterloo; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; University of Saskatchewan; National Aeronautics and Space Administration","keywords":"Precipitation; Streamflow; Snow; Structural basin; Drainage basin; Shore; Stream flow; Hydrological modelling","score_opus":0.028712815479554996,"score_gpt":0.25433834647229364,"score_spread":0.22562553099273863,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4200314936","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":[0.9946602,0.00015743772,0.0003626302,0.000101857004,0.000023413466,0.000010754382,0.003093764,0.00037333823,0.001216627],"genre_scores_gemma":[0.9903803,0.00009123383,0.0014031648,0.000055929424,0.000017918823,0.000013916067,0.007555119,0.00004099368,0.00044142563],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996561,0.000065857435,0.000033630855,0.00012250422,0.00008389775,0.00003806008],"domain_scores_gemma":[0.9995028,0.000107635475,0.000081020036,0.00008710138,0.00014861104,0.000072863004],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009703342,0.00063249696,0.0002668473,0.0004924724,0.00023166189,0.0007414377,0.00048569028,0.00044994592,0.00077504455],"category_scores_gemma":[0.0014445563,0.0002631861,0.00036429544,0.00095990376,0.00019367947,0.000827654,0.0004120572,0.00025775022,0.00025141297],"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":[0.0014376412,0.00050081697,0.60133594,0.00019642233,0.0007861664,0.00047520542,0.00061837136,0.29360124,0.010642808,0.0007822151,0.013069453,0.07655375],"study_design_scores_gemma":[0.00021655425,0.00024818693,0.5855646,0.00003215877,0.000110894915,0.000077502365,0.0002000753,0.40548748,0.003695431,0.00018751755,0.0041209077,0.00005868055],"about_ca_topic_score_codex":0.06394024,"about_ca_topic_score_gemma":0.064856514,"teacher_disagreement_score":0.06394024,"about_ca_system_score_codex":0.0006753535,"about_ca_system_score_gemma":0.00080215087,"threshold_uncertainty_score":0.12713611},"labels":[],"label_agreement":null},{"id":"W4200328988","doi":"10.1016/j.ejrh.2021.100981","title":"Changes in geographical runoff generation in regions affected by climate and resource development: A case study of the Athabasca River","year":2021,"lang":"en","type":"article","venue":"Journal of Hydrology Regional Studies","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Environment and Climate Change Canada; University of New Brunswick; University of Alberta; University of Victoria","funders":"Environment and Climate Change Canada","keywords":"Surface runoff; Structural basin; Oil sands; Climate change; Environmental science; Hydrology (agriculture); Drainage basin; Resource (disambiguation); Streamflow; Physical geography; Geology; Geography; Ecology; Geomorphology","score_opus":0.02593032787329686,"score_gpt":0.25261455586064196,"score_spread":0.2266842279873451,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4200328988","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":[0.99902594,0.000017897237,0.00010059504,0.00007329494,6.06766e-7,0.000008943579,0.00012749374,0.000005120011,0.0006400826],"genre_scores_gemma":[0.9995833,0.000023913086,0.00018924088,0.000009184835,7.360763e-7,0.000004060127,0.000051207404,0.0000016394794,0.00013669732],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99965954,0.00014438637,0.000014909639,0.000043253083,0.000047975936,0.000089907546],"domain_scores_gemma":[0.99965215,0.00012760746,0.00007201019,0.0000229722,0.00005122075,0.00007408563],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025433142,0.00020413384,0.00016843404,0.0008129079,0.0012691239,0.0008324641,0.0005876531,0.00038205236,0.0007497643],"category_scores_gemma":[0.00083356467,0.00008774741,0.00024865527,0.002482781,0.00077472,0.00032654937,0.00053305103,0.00034762872,0.000039786362],"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":[0.0002155962,0.0004890033,0.9288539,0.00009562225,0.00012600946,0.014660298,0.007118323,0.021710146,0.006394341,0.0022769836,0.0009696168,0.017090041],"study_design_scores_gemma":[0.000022595512,0.00011094336,0.94480604,0.000020049503,0.00007552545,0.0012830341,0.03281984,0.017437216,0.0011157346,0.00048544933,0.0017799658,0.000043592885],"about_ca_topic_score_codex":0.55887467,"about_ca_topic_score_gemma":0.7616369,"teacher_disagreement_score":0.44112533,"about_ca_system_score_codex":0.0044388915,"about_ca_system_score_gemma":0.0018391764,"threshold_uncertainty_score":0.8874464},"labels":[],"label_agreement":null},{"id":"W4211098183","doi":"10.1016/j.ejrh.2022.101031","title":"Changes to the hydrology of a boreal fen following the placement of an access road and below ground pipeline","year":2022,"lang":"en","type":"article","venue":"Journal of Hydrology Regional Studies","topic":"Peatlands and Wetlands Ecology","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":"University of Waterloo","funders":"Alberta Environment and Parks; Suncor Energy Incorporated","keywords":"Hydrology (agriculture); Clearance; Peat; Culvert; Mire; Water table; Flow (mathematics); Environmental science; Pipeline transport; Geology; Groundwater; Geotechnical engineering; Geography; Geometry; Environmental engineering; Mathematics","score_opus":0.0348258268400349,"score_gpt":0.3004558140218695,"score_spread":0.2656299871818346,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4211098183","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":[0.9993919,0.000016620237,0.000030679403,0.000015782362,0.0000013112948,0.0000040837967,0.000117124546,0.0000033856381,0.00041903212],"genre_scores_gemma":[0.99930334,0.000023962195,0.00008487708,0.0000071325458,0.0000011613032,0.0000026530952,0.00018163594,9.1022036e-7,0.00039433956],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998808,0.000009603728,0.0000038347,0.000021190082,0.000042316737,0.000042331107],"domain_scores_gemma":[0.99974567,0.000016632926,0.000036901092,0.000007417502,0.00010766265,0.00008574427],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017643147,0.00013810032,0.00017674346,0.00050470914,0.00069595105,0.00055482564,0.00031456596,0.00025187244,0.0005117874],"category_scores_gemma":[0.00032745785,0.000082880695,0.00016084092,0.0005514911,0.00049400906,0.00015033559,0.0003196342,0.00023283086,0.00008043794],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00042166992,0.00014507018,0.9735189,0.000024571253,0.000051255054,0.0009524812,0.0019702085,0.0017882354,0.011185683,0.00013538235,0.0005125846,0.0092939045],"study_design_scores_gemma":[0.0000015457363,0.000020671352,0.9985891,0.0000020264774,0.0000031516815,0.000027486845,0.0006829644,0.0003255292,0.00013837629,0.00000774965,0.00019788151,0.0000035005842],"about_ca_topic_score_codex":0.8791291,"about_ca_topic_score_gemma":0.9541851,"teacher_disagreement_score":0.8791291,"about_ca_system_score_codex":0.005569365,"about_ca_system_score_gemma":0.0030429645,"threshold_uncertainty_score":0.24316537},"labels":[],"label_agreement":null},{"id":"W4211223135","doi":"10.1016/j.ejrh.2022.101032","title":"Using stable isotopes to track hydrological processes at an oil sands mine, Alberta, Canada","year":2022,"lang":"en","type":"article","venue":"Journal of Hydrology Regional Studies","topic":"Groundwater and Isotope Geochemistry","field":"Earth and Planetary Sciences","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":"Global Institute for Water Security; University of Victoria; University of Saskatchewan","funders":"Natural Sciences and Engineering Research Council of Canada; Syncrude","keywords":"Oil sands; Tailings; Environmental science; Dewatering; Hydrology (agriculture); Steam-assisted gravity drainage; Boiler blowdown; Precipitation; Geology; Asphalt; Archaeology; Meteorology; Geography; Geotechnical engineering; Oceanography","score_opus":0.047131140418123676,"score_gpt":0.2567314859510322,"score_spread":0.20960034553290852,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4211223135","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":[0.9962081,0.00009995548,0.0004962912,0.00006803078,0.0000032695625,0.000047782807,0.00065947033,0.000032078206,0.0023849597],"genre_scores_gemma":[0.99439234,0.0001716706,0.0027696602,0.000033618795,0.0000022275099,0.000016717115,0.0005275081,0.000007655756,0.0020786342],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99982005,0.000012808658,0.000004987399,0.000034324326,0.000090053705,0.000037778806],"domain_scores_gemma":[0.99975675,0.000020676878,0.000025467196,0.000008103115,0.00014490324,0.00004400429],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026813187,0.00022124608,0.0001472223,0.00093655987,0.0014937901,0.0006974832,0.0006348214,0.00023807409,0.00050937594],"category_scores_gemma":[0.00039076217,0.00017458711,0.0000938272,0.001481369,0.00046015173,0.0002298387,0.00031079713,0.0002355186,0.00008956943],"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":[0.00032530184,0.00028668498,0.8949566,0.00006114392,0.00006242991,0.0004224877,0.002027559,0.007196501,0.026820762,0.00045879857,0.0016429033,0.06573876],"study_design_scores_gemma":[0.00003562133,0.000074090654,0.9762729,0.000015133293,0.00002529033,0.00007106552,0.0023153308,0.013893403,0.0034373438,0.00016418194,0.003672002,0.00002359556],"about_ca_topic_score_codex":0.97925,"about_ca_topic_score_gemma":0.99490935,"teacher_disagreement_score":0.020749986,"about_ca_system_score_codex":0.009276563,"about_ca_system_score_gemma":0.010551843,"threshold_uncertainty_score":0.06730652},"labels":[],"label_agreement":null},{"id":"W4212846702","doi":"10.1016/j.ejrh.2022.101033","title":"Size and optical properties of dissolved organic matter in large boreal rivers during mixing: Implications for carbon transport and source discrimination","year":2022,"lang":"en","type":"article","venue":"Journal of Hydrology Regional Studies","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":18,"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 Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Canada's Oil Sands Innovation Alliance; Alberta Innovates; Canada Foundation for Innovation; Government of Alberta","keywords":"Dissolved organic carbon; Tributary; TRACER; Boreal; Environmental science; Hydrology (agriculture); Mixing (physics); Ecosystem; Water quality; Humus; Environmental chemistry; Chemistry; Ecology; Geology; Soil science; Geography; Biology","score_opus":0.019862359028149253,"score_gpt":0.21886046566779363,"score_spread":0.19899810663964437,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4212846702","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":[0.99935216,0.000062917534,0.000064096705,0.000011148178,0.0000011912898,0.0000036711706,0.00010352949,0.0000042152724,0.00039707785],"genre_scores_gemma":[0.9994247,0.00003470004,0.00011564452,0.00001001206,0.000001162752,0.0000031849727,0.00014997617,0.0000018782274,0.00025880782],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99992824,0.0000056466765,0.0000036737106,0.000019303943,0.000021211023,0.00002184211],"domain_scores_gemma":[0.9998319,0.000020321842,0.000039087525,0.000003962444,0.00006639197,0.000038234353],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016396501,0.00014922515,0.0001239973,0.0004259461,0.0007399392,0.00061870134,0.00020351872,0.00016374144,0.00041699962],"category_scores_gemma":[0.0003128451,0.000117029886,0.000109183275,0.0004062136,0.00027971613,0.00020864204,0.00021823333,0.00018653428,0.000052962536],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025959391,0.00006921537,0.9595117,0.000014908155,0.000031753298,0.00009149176,0.00080437737,0.00023964635,0.032591574,0.00007567362,0.00016624342,0.006143829],"study_design_scores_gemma":[0.0000012825184,0.000008278205,0.99908006,9.167888e-7,0.0000038937796,0.000010762006,0.00024926302,0.00016099722,0.00040840553,0.000006301439,0.000067910965,0.0000018985892],"about_ca_topic_score_codex":0.6295212,"about_ca_topic_score_gemma":0.74069875,"teacher_disagreement_score":0.6295212,"about_ca_system_score_codex":0.0021665422,"about_ca_system_score_gemma":0.0010415576,"threshold_uncertainty_score":0.7453213},"labels":[],"label_agreement":null},{"id":"W4226073192","doi":"10.1016/j.ejrh.2022.101078","title":"A temporal snapshot of ecosystem functionality during the initial stages of reclamation of an upland-fen complex","year":2022,"lang":"en","type":"article","venue":"Journal of Hydrology Regional Studies","topic":"Peatlands and Wetlands Ecology","field":"Environmental Science","cited_by":6,"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 Waterloo","funders":"","keywords":"Environmental science; Ecosystem; Eddy covariance; Peat; Watershed; Carbon sink; Land reclamation; Hydrology (agriculture); Wetland; Ecology; Geology; Biology","score_opus":0.061650449745758513,"score_gpt":0.30089737220357016,"score_spread":0.23924692245781165,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4226073192","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":[0.9958621,0.0000706085,0.00018032678,0.000023773564,0.0000023067137,0.000008477,0.002374216,0.00002083625,0.0014573291],"genre_scores_gemma":[0.9968215,0.0000574476,0.00037990705,0.000007673711,0.0000012715113,0.000009967714,0.0017315303,0.0000027235274,0.0009879671],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99993634,0.000004351929,0.000002302103,0.000013272412,0.000022784328,0.000020948608],"domain_scores_gemma":[0.999841,0.000008018297,0.000026058759,0.0000063515963,0.00007411862,0.000044356795],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000114669434,0.00015220593,0.00009378193,0.00072126894,0.0004677191,0.0003585076,0.000259116,0.00015926003,0.0011889085],"category_scores_gemma":[0.00018164261,0.000061891056,0.00009660104,0.0009210703,0.00020723279,0.0001499496,0.0002810187,0.00014993615,0.00012293924],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024754606,0.00011905855,0.9361946,0.00009867421,0.000075425174,0.0005235495,0.0017118455,0.0034529548,0.01821148,0.0006214865,0.003951818,0.034791425],"study_design_scores_gemma":[0.0000010464211,0.000009873506,0.9973308,0.000007224363,0.0000050431727,0.000024759625,0.0005396307,0.0008824537,0.0002654085,0.000022616832,0.0009073393,0.0000037381194],"about_ca_topic_score_codex":0.5421866,"about_ca_topic_score_gemma":0.837791,"teacher_disagreement_score":0.5421866,"about_ca_system_score_codex":0.0018127909,"about_ca_system_score_gemma":0.0010838644,"threshold_uncertainty_score":0.9210191},"labels":[],"label_agreement":null},{"id":"W4295126625","doi":"10.1016/j.ejrh.2022.101205","title":"Assessment of groundwater discharge pathways in a till-dominated coastal aquifer","year":2022,"lang":"en","type":"article","venue":"Journal of Hydrology Regional Studies","topic":"Groundwater and Isotope Geochemistry","field":"Earth and Planetary Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McGill University; Klohn Crippen Berger (Canada); Government of Nova Scotia; BGC Engineering (Canada); Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Baseflow; Submarine groundwater discharge; Groundwater; Groundwater discharge; Aquifer; Hydrology (agriculture); Hydrogeology; Geology; Groundwater flow; Environmental science; Streamflow; Drainage basin; Geography","score_opus":0.029441094889357814,"score_gpt":0.26146013703684495,"score_spread":0.23201904214748714,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4295126625","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":[0.9994997,0.000009055039,0.00009577331,0.0000056544336,3.0383083e-7,0.0000084284,0.00015146076,0.0000053144736,0.00022427976],"genre_scores_gemma":[0.9992499,0.000022735898,0.00031762145,0.0000040736945,2.8610228e-7,0.00000471481,0.00018552561,0.00000127202,0.00021398494],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99994385,0.0000048032553,0.0000030975905,0.00001503901,0.000018753799,0.000014496927],"domain_scores_gemma":[0.9998895,0.000021512495,0.000017696624,0.000005111308,0.000038930957,0.000027282867],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008522394,0.00017633189,0.00012519275,0.00048580318,0.00049726915,0.00047034328,0.00023088239,0.00020174973,0.00024419275],"category_scores_gemma":[0.00027634093,0.00012111705,0.00012325839,0.00052407134,0.0002986595,0.0001334587,0.00025285894,0.000114840586,0.00004184752],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014905623,0.00009771358,0.93997586,0.000036355254,0.00003529322,0.0005415205,0.0005572245,0.017038772,0.026239067,0.00015813552,0.00019177697,0.01497927],"study_design_scores_gemma":[0.000012960235,0.00009102265,0.96789694,0.000007897343,0.000012870223,0.00006474595,0.0006835396,0.029047692,0.0018479127,0.000040963943,0.00028000932,0.000013438473],"about_ca_topic_score_codex":0.74629116,"about_ca_topic_score_gemma":0.88142574,"teacher_disagreement_score":0.74629116,"about_ca_system_score_codex":0.0027291428,"about_ca_system_score_gemma":0.0022084024,"threshold_uncertainty_score":0.5104059},"labels":[],"label_agreement":null},{"id":"W4306321488","doi":"10.1016/j.ejrh.2022.101237","title":"A coupled streamflow and water temperature (VIC-RBM-CE-QUAL-W2) model for the Nechako Reservoir","year":2022,"lang":"en","type":"article","venue":"Journal of Hydrology Regional Studies","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":25,"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 Victoria; Pacific Institute for Climate Solutions","funders":"Natural Sciences and Engineering Research Council of Canada; Rio Tinto","keywords":"Outflow; Environmental science; Inflow; Epilimnion; Hydrology (agriculture); Climate change; Water level; Water balance; Streamflow; Water quality; Forcing (mathematics); Climatology; Drainage basin; Geology; Hypolimnion; Eutrophication; Ecology; Oceanography","score_opus":0.028776137372603528,"score_gpt":0.2621975414691641,"score_spread":0.23342140409656054,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4306321488","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":[0.8559321,0.0005839833,0.047117673,0.0014840874,0.00022580585,0.00040782214,0.03991875,0.0019522776,0.05237743],"genre_scores_gemma":[0.9624962,0.00019364677,0.011908999,0.00012365094,0.000018684941,0.00021583337,0.011175334,0.00014367542,0.013723824],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998211,0.000036267895,0.000009094964,0.000052545958,0.000034470475,0.000046576715],"domain_scores_gemma":[0.99964106,0.00007306968,0.000033241708,0.00002301642,0.00015645703,0.00007313724],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029787552,0.00060531625,0.00057907664,0.00030405042,0.00075253955,0.0013013466,0.0019189132,0.0014513998,0.0052814917],"category_scores_gemma":[0.00089552946,0.0004889863,0.000638857,0.0007510651,0.00053611636,0.0006360269,0.0006086853,0.0011474048,0.00051395624],"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":[0.00006927445,0.00004991731,0.0039940975,0.000029176132,0.00002915352,0.000065240376,0.000021058435,0.98979867,0.00048243825,0.0013978292,0.0022367195,0.0018263279],"study_design_scores_gemma":[0.000041632626,0.000011029707,0.002108996,0.000005638212,0.000012237589,0.0000060281577,0.00002839981,0.99571264,0.00013299895,0.00027948627,0.0016485987,0.000012369849],"about_ca_topic_score_codex":0.73481536,"about_ca_topic_score_gemma":0.6940583,"teacher_disagreement_score":0.26518464,"about_ca_system_score_codex":0.004757931,"about_ca_system_score_gemma":0.0058324467,"threshold_uncertainty_score":0.5334927},"labels":[],"label_agreement":null},{"id":"W4319054976","doi":"10.1016/j.ejrh.2022.101301","title":"Estimation of groundwater contributions to Athabasca River, Alberta, Canada","year":2023,"lang":"en","type":"article","venue":"Journal of Hydrology Regional Studies","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Suncor Energy (Canada); University of Waterloo","funders":"Imperial Oil Limited; Suncor Energy Incorporated","keywords":"Groundwater; Surface water; Hydrology (agriculture); Groundwater flow; Environmental science; Structural basin; Drainage basin; Groundwater discharge; Water balance; Groundwater model; Streamflow; Geology; Aquifer; Geography; Environmental engineering; Geomorphology","score_opus":0.015940710085333522,"score_gpt":0.26853587579721755,"score_spread":0.252595165711884,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4319054976","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":[0.988432,0.00028079926,0.0024215265,0.00010500941,0.000004632684,0.000044489316,0.0035722628,0.00016018911,0.0049791303],"genre_scores_gemma":[0.9944871,0.00016732387,0.0022983402,0.000012947548,0.0000011770212,0.000010636792,0.0014491036,0.0000093050785,0.0015640545],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998196,0.00001268357,0.0000066099938,0.00003298671,0.00009160642,0.00003654633],"domain_scores_gemma":[0.99979395,0.000018592313,0.000018290611,0.0000064425303,0.0001386265,0.000024166691],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013151874,0.0003050219,0.00014098777,0.0012261127,0.0008848247,0.00069303723,0.00048950006,0.00016786932,0.00093904516],"category_scores_gemma":[0.00045531438,0.00011790401,0.00019590094,0.0016554358,0.00020659181,0.0001955104,0.0002791223,0.00015030404,0.0000839243],"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":[0.00021182223,0.00007173159,0.8088934,0.00011364343,0.00013232244,0.00033484426,0.00056790863,0.087004624,0.015245193,0.0019716334,0.0025342107,0.082918674],"study_design_scores_gemma":[0.00003267514,0.00004003075,0.8468937,0.00003370146,0.00007703086,0.00009685821,0.001740549,0.13715592,0.00501052,0.0006316708,0.008239369,0.00004797409],"about_ca_topic_score_codex":0.9851162,"about_ca_topic_score_gemma":0.9934975,"teacher_disagreement_score":0.014883816,"about_ca_system_score_codex":0.010888289,"about_ca_system_score_gemma":0.009125133,"threshold_uncertainty_score":0.07900047},"labels":[],"label_agreement":null},{"id":"W4320928758","doi":"10.1016/j.ejrh.2023.101343","title":"Nested hydrological modeling for flood prediction using CMIP6 inputs around Lake Tana, Ethiopia","year":2023,"lang":"en","type":"article","venue":"Journal of Hydrology Regional Studies","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":16,"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 Calgary; Alberta Energy","funders":"","keywords":"Flood myth; Surface runoff; Structural basin; Environmental science; Precipitation; Hydrological modelling; Drainage basin; Coupled model intercomparison project; Hydrology (agriculture); Flood forecasting; Climatology; Meteorology; Climate model; Geology; Climate change; Geography; Cartography; Geomorphology; Ecology","score_opus":0.10172927439110803,"score_gpt":0.3162439181008922,"score_spread":0.21451464370978418,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4320928758","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":[0.9783705,0.00008527501,0.018547473,0.000155101,0.00002604273,0.000042428306,0.0012552572,0.0002731594,0.0012447733],"genre_scores_gemma":[0.9892681,0.00005157499,0.009609599,0.0000136959015,0.0000062434337,0.000042548694,0.00064818066,0.000016975622,0.00034303457],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998933,0.00004158689,0.000006704989,0.000026103926,0.000013462457,0.000018900057],"domain_scores_gemma":[0.9997652,0.00010459537,0.000027712582,0.00001614698,0.000050696508,0.00003558522],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004659018,0.00050211337,0.00034925828,0.00021797275,0.00031907673,0.0005735598,0.00075001875,0.0005155108,0.00064124924],"category_scores_gemma":[0.0010199677,0.00036716717,0.00042662612,0.0003445944,0.00016962849,0.00047328864,0.00042839444,0.000455731,0.00009229396],"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":[0.00003892843,0.00005517096,0.006774102,0.000012362282,0.000035764286,0.000062904786,0.000029545536,0.98882014,0.00066676503,0.0002958652,0.00019491167,0.0030135498],"study_design_scores_gemma":[0.000010539498,0.000009639037,0.0014268315,0.000001980927,0.000004788207,0.0000032119078,0.000011257123,0.9981059,0.00019280831,0.00013198209,0.00009758125,0.0000034677241],"about_ca_topic_score_codex":0.03774119,"about_ca_topic_score_gemma":0.026269533,"teacher_disagreement_score":0.03774119,"about_ca_system_score_codex":0.00064796465,"about_ca_system_score_gemma":0.001055282,"threshold_uncertainty_score":0.07504302},"labels":[],"label_agreement":null},{"id":"W4362675034","doi":"10.1016/j.ejrh.2023.101377","title":"Assessing and predicting Lake Chloride Concentrations in the Lake-Rich Urbanizing Halifax Region, Canada","year":2023,"lang":"en","type":"article","venue":"Journal of Hydrology Regional Studies","topic":"Smart Materials for Construction","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Watershed; Environmental science; Stormwater; Hydrology (agriculture); Nova scotia; Geography; Ecology; Surface runoff; Archaeology; Geology","score_opus":0.03974672789731287,"score_gpt":0.2713378395344422,"score_spread":0.2315911116371293,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4362675034","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":[0.9964018,0.0001034508,0.0005932244,0.000110595574,0.0000030685035,0.000034053443,0.0011725178,0.000051865463,0.0015293997],"genre_scores_gemma":[0.9971551,0.00010023348,0.00079335616,0.000019599971,0.0000012164694,0.000013941632,0.00089663436,0.0000052144783,0.0010148225],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998859,0.0000147128285,0.000005030741,0.000024688039,0.000025710824,0.000043891017],"domain_scores_gemma":[0.9996946,0.00005232973,0.000041799798,0.000007781363,0.00014774497,0.000055727294],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022163944,0.0005703823,0.00018848646,0.00078227906,0.0006587144,0.0009979326,0.00044621222,0.00026869847,0.00059559604],"category_scores_gemma":[0.0005652563,0.0001892751,0.00024454854,0.00073518424,0.00031964332,0.00020493713,0.00034675954,0.00018249862,0.0000896796],"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":[0.00012478656,0.00009622337,0.8687887,0.000059003487,0.00010105148,0.00027931586,0.00029157347,0.11140312,0.002512752,0.00035078468,0.0019164017,0.01407614],"study_design_scores_gemma":[0.000033212695,0.00004478225,0.7177414,0.000030117899,0.000054504126,0.000038968767,0.0018041863,0.27676645,0.0012734953,0.0001468974,0.0020385906,0.0000275292],"about_ca_topic_score_codex":0.9910875,"about_ca_topic_score_gemma":0.99443275,"teacher_disagreement_score":0.012659899,"about_ca_system_score_codex":0.012659899,"about_ca_system_score_gemma":0.010161194,"threshold_uncertainty_score":0.09185439},"labels":[],"label_agreement":null},{"id":"W4365455868","doi":"10.1016/j.ejrh.2023.101380","title":"Exploring the utility of the downscaled SMAP soil moisture products in improving streamflow simulation","year":2023,"lang":"en","type":"article","venue":"Journal of Hydrology Regional Studies","topic":"Soil Moisture and Remote Sensing","field":"Environmental Science","cited_by":8,"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 de Sherbrooke","funders":"","keywords":"Streamflow; Environmental science; Watershed; Water content; Moisture; Hydrology (agriculture); Range (aeronautics); Flood forecasting; Meteorology; Drainage basin; Geology; Geography; Computer science","score_opus":0.100752811700089,"score_gpt":0.27719654222095763,"score_spread":0.17644373052086865,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4365455868","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":[0.9894655,0.000060783175,0.0086879935,0.000072232484,0.000017798227,0.000022518921,0.00031586102,0.0002705552,0.0010868192],"genre_scores_gemma":[0.9830993,0.00005190419,0.016192334,0.000018743905,0.0000059757226,0.000016701393,0.0004216444,0.000023695444,0.00016965803],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99987924,0.000019750356,0.000009430364,0.000030695443,0.000047109075,0.000013776168],"domain_scores_gemma":[0.9996742,0.000070086964,0.000031963416,0.00007428678,0.00013246584,0.000017015287],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00052541326,0.0003120828,0.0002412979,0.00023374638,0.00017467453,0.0003980548,0.0004436213,0.00021345605,0.00036065813],"category_scores_gemma":[0.001478558,0.00018413714,0.00031311333,0.00035586924,0.000114923074,0.0006825026,0.00030821376,0.00038113492,0.00007531454],"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":[0.00020766417,0.00029540685,0.11454042,0.000071626506,0.00017379741,0.00023127187,0.00017862547,0.71643263,0.05525648,0.001142597,0.0009925307,0.11047695],"study_design_scores_gemma":[0.000060539594,0.00016470671,0.07057107,0.000009099426,0.00004653859,0.00003093933,0.000074473355,0.90854716,0.01809656,0.0002745684,0.002094573,0.000029807568],"about_ca_topic_score_codex":0.03440879,"about_ca_topic_score_gemma":0.0426819,"teacher_disagreement_score":0.03440879,"about_ca_system_score_codex":0.0004305101,"about_ca_system_score_gemma":0.0006956271,"threshold_uncertainty_score":0.06841701},"labels":[],"label_agreement":null},{"id":"W4365506136","doi":"10.1016/j.ejrh.2023.101387","title":"Snow-detonated floods: Assessment of the U.S. midwest march 2019 event","year":2023,"lang":"en","type":"article","venue":"Journal of Hydrology Regional Studies","topic":"Cryospheric studies and observations","field":"Earth and Planetary 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":false,"ca_institutions":"University of Manitoba","funders":"Mid-America Transportation Center, University of Nebraska-Lincoln; Iowa Department of Transportation","keywords":"Snow; Flood myth; Environmental science; Flood forecasting; Watershed; Climatology; Hydrology (agriculture); Meteorology; Physical geography; Geography; Geology","score_opus":0.05304067632095769,"score_gpt":0.3152014699889427,"score_spread":0.262160793667985,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4365506136","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":[0.9967199,0.0000570699,0.00036758214,0.00017907927,0.000006854984,0.000021553024,0.0016466067,0.000021288886,0.0009799787],"genre_scores_gemma":[0.9975103,0.000083749204,0.00047477667,0.00004134744,0.000006588189,0.000018739425,0.0015785107,0.0000039478823,0.00028204313],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99981564,0.000050738632,0.000017082002,0.00004437187,0.000031955562,0.000040311144],"domain_scores_gemma":[0.9994491,0.00012593523,0.00013633736,0.00004125102,0.00014300915,0.00010443453],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00090059335,0.00031531122,0.00017423987,0.0006130715,0.00035661043,0.0007318293,0.0003678649,0.00041896958,0.0006318321],"category_scores_gemma":[0.0012999938,0.00015280358,0.00043905224,0.00081342744,0.00018695254,0.00061985286,0.0006700698,0.00037481528,0.00012444671],"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":[0.00014529105,0.000101588164,0.97434574,0.00002874233,0.00006814839,0.000286584,0.00034653375,0.012593827,0.00080623897,0.00030552797,0.00095853733,0.010013292],"study_design_scores_gemma":[0.000012414255,0.00014586856,0.9460627,0.0000377249,0.000051557832,0.00008327096,0.0017656159,0.04903279,0.00054682954,0.00025475424,0.0019902438,0.000016309517],"about_ca_topic_score_codex":0.15420538,"about_ca_topic_score_gemma":0.2400046,"teacher_disagreement_score":0.15420538,"about_ca_system_score_codex":0.0018691719,"about_ca_system_score_gemma":0.0010159082,"threshold_uncertainty_score":0.3066156},"labels":[],"label_agreement":null},{"id":"W4366299298","doi":"10.1016/j.ejrh.2023.101386","title":"Bias correction of 20 years of IMERG satellite precipitation data over Canada and Alaska","year":2023,"lang":"en","type":"article","venue":"Journal of Hydrology Regional Studies","topic":"Precipitation Measurement and Analysis","field":"Earth and Planetary Sciences","cited_by":19,"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":"National Aeronautics and Space Administration","keywords":"Elevation (ballistics); Satellite; Environmental science; Latitude; Climatology; Precipitation; Scale (ratio); Mean squared error; Digital elevation model; Meteorology; Atmospheric sciences; Remote sensing; Statistics; Geodesy; Geology; Geography; Mathematics; Cartography","score_opus":0.09637507771928465,"score_gpt":0.28455465945761654,"score_spread":0.18817958173833188,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4366299298","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":[0.9914261,0.0003302771,0.0027579968,0.000083694096,0.000041210787,0.000024925694,0.0039034148,0.00016813575,0.0012642134],"genre_scores_gemma":[0.9896394,0.00013444749,0.0040374044,0.000025984787,0.000013069176,0.000020255897,0.005093974,0.000027810162,0.001007751],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99948967,0.000093204515,0.000057630274,0.00012272938,0.00015746836,0.0000792275],"domain_scores_gemma":[0.9985362,0.00018313905,0.00019391289,0.00016808734,0.0008595225,0.000059122158],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014776904,0.00027255708,0.00026933276,0.00093265646,0.0004779019,0.00043762822,0.0003775571,0.00020614456,0.00044835362],"category_scores_gemma":[0.003399372,0.00011925704,0.00027657658,0.001621306,0.0001234506,0.0002581922,0.0003010345,0.00018741193,0.0001386902],"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":[0.00015219107,0.000068713,0.91045755,0.0000612876,0.0002454721,0.0001258896,0.00027264518,0.025937011,0.003729731,0.00020794914,0.0016321205,0.057109486],"study_design_scores_gemma":[0.000016162285,0.00003074126,0.9680787,0.000021374397,0.00007405518,0.000046102345,0.00020602276,0.022915225,0.002747595,0.0000969899,0.0057490184,0.000018118672],"about_ca_topic_score_codex":0.598512,"about_ca_topic_score_gemma":0.7424785,"teacher_disagreement_score":0.401488,"about_ca_system_score_codex":0.0023200568,"about_ca_system_score_gemma":0.0027433634,"threshold_uncertainty_score":0.8077049},"labels":[],"label_agreement":null},{"id":"W4366763412","doi":"10.1016/j.ejrh.2023.101390","title":"Potential changes in climate indices in Alberta under projected global warming of 1.5–5 °C","year":2023,"lang":"en","type":"article","venue":"Journal of Hydrology Regional Studies","topic":"Climate variability and models","field":"Environmental Science","cited_by":15,"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 Calgary; Alberta Environment and Protected Areas","funders":"","keywords":"Global warming; Environmental science; Climatology; Precipitation; Coupled model intercomparison project; Climate change; Mean radiant temperature; Climate model; Atmospheric sciences; Geography; Meteorology; Geology; Oceanography","score_opus":0.04462447460748968,"score_gpt":0.3121333337718365,"score_spread":0.2675088591643468,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4366763412","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":[0.9781884,0.0007239819,0.0015090064,0.000998243,0.00004221934,0.000027265301,0.00476527,0.0001563674,0.01358931],"genre_scores_gemma":[0.9953121,0.000406879,0.0012759141,0.00008649812,0.000007465437,0.00000778051,0.001721994,0.000008348415,0.0011729698],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998079,0.000021465266,0.000006707908,0.000024783678,0.00007595473,0.00006331378],"domain_scores_gemma":[0.9997991,0.000011272338,0.000024226718,0.0000059024064,0.00012419296,0.000035346617],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040782534,0.00031895292,0.00014500598,0.0005283424,0.0006776345,0.000880644,0.00043157698,0.0002349216,0.00088729244],"category_scores_gemma":[0.0005088026,0.00009853197,0.00034563936,0.0011290148,0.0002881654,0.00024146658,0.00037171078,0.00026108575,0.0000716366],"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":[0.0004796265,0.00010633356,0.7337461,0.00020774674,0.00033994787,0.0009770598,0.0006833309,0.17801948,0.008475868,0.0056133196,0.011380065,0.059971165],"study_design_scores_gemma":[0.00004411246,0.00005683827,0.9109519,0.00005692333,0.00013774533,0.00011500834,0.0012862305,0.07033701,0.0015862626,0.0011456293,0.014218054,0.000064338055],"about_ca_topic_score_codex":0.953914,"about_ca_topic_score_gemma":0.97505933,"teacher_disagreement_score":0.046086013,"about_ca_system_score_codex":0.011446637,"about_ca_system_score_gemma":0.011320342,"threshold_uncertainty_score":0.09271479},"labels":[],"label_agreement":null},{"id":"W4366780397","doi":"10.1016/j.ejrh.2023.101391","title":"Process based calibration of a continental-scale hydrological model using soil moisture and streamflow data","year":2023,"lang":"en","type":"article","venue":"Journal of Hydrology Regional Studies","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":11,"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 Manitoba; University of Calgary","funders":"Global Water Futures; Agriculture and Agri-Food Canada; Natural Sciences and Engineering Research Council of Canada; Maa- ja MetsätalousministeriÖ; Canada Research Chairs; Manitoba Hydro; Compute Canada; Sveriges Meteorologiska och Hydrologiska Institut","keywords":"Evapotranspiration; Streamflow; Environmental science; Water content; Discretization; Hydrology (agriculture); Soil science; Hydrological modelling; Soil horizon; Hydrogeology; Soil water; Drainage basin; Geology; Climatology; Geography; Mathematics; Geotechnical engineering","score_opus":0.16686192446603015,"score_gpt":0.33053295237118735,"score_spread":0.1636710279051572,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4366780397","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":[0.9584731,0.00011328067,0.030922923,0.00023479754,0.000042443808,0.00011054936,0.0038888096,0.00074214267,0.0054720636],"genre_scores_gemma":[0.9861389,0.000051411254,0.010851691,0.000032533233,0.000004211734,0.000050505274,0.0023352979,0.0000383713,0.00049716217],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99984264,0.0000340806,0.000009988327,0.00005291222,0.000036193764,0.000024110614],"domain_scores_gemma":[0.9996458,0.000102997416,0.000040332674,0.00006744527,0.00011187975,0.000031493786],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046600285,0.0003906208,0.00024568458,0.00025977843,0.0004233614,0.00054549286,0.0007538386,0.000538941,0.0010950248],"category_scores_gemma":[0.0011338108,0.00023823508,0.00041703103,0.00058515806,0.0003092967,0.0004902149,0.00035902436,0.0007091262,0.0001559074],"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":[0.000036230096,0.00009438058,0.01789921,0.000026020958,0.0000438431,0.000044279353,0.000036333277,0.9704578,0.0019240744,0.000705611,0.00091797224,0.00781419],"study_design_scores_gemma":[0.000018982357,0.000010422614,0.0059882817,0.0000034467191,0.000008131853,0.0000057377347,0.000014076092,0.9925257,0.0007866483,0.00019517045,0.0004354177,0.000008076993],"about_ca_topic_score_codex":0.21754962,"about_ca_topic_score_gemma":0.19813652,"teacher_disagreement_score":0.21754962,"about_ca_system_score_codex":0.0015410447,"about_ca_system_score_gemma":0.0023901626,"threshold_uncertainty_score":0.4325667},"labels":[],"label_agreement":null},{"id":"W4367399990","doi":"10.1016/j.ejrh.2023.101398","title":"Land cover influence on catchment scale subsurface water storage investigated by multiple methods: Implications for UK Natural Flood Management","year":2023,"lang":"en","type":"article","venue":"Journal of Hydrology Regional Studies","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":14,"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; University of Saskatchewan","funders":"Natural Environment Research Council; University of Edinburgh; British Geological Survey; Sight Research UK; University of Saskatchewan; Society of American Gastrointestinal and Endoscopic Surgeons","keywords":"Hydrology (agriculture); Surface runoff; Environmental science; Drainage basin; Water storage; Land cover; Flood myth; Infiltration (HVAC); Groundwater; Soil water; Land use; Soil science; Geology; Geography; Ecology","score_opus":0.02963966427370456,"score_gpt":0.3120353337421664,"score_spread":0.28239566946846184,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4367399990","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":[0.99870205,0.00018394917,0.00037391295,0.000049502076,0.0000026841924,0.000006157693,0.00018581584,0.000004627786,0.00049138],"genre_scores_gemma":[0.9993333,0.00007674007,0.0002664751,0.000009814029,0.00000270593,0.000009218468,0.00009595464,0.000002073073,0.0002037308],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994742,0.00028262055,0.00003582531,0.00007271474,0.000069226,0.0000653662],"domain_scores_gemma":[0.99760926,0.001232813,0.00065982505,0.00014112135,0.00021896398,0.00013803091],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008299229,0.00020748666,0.0002957278,0.0006933718,0.0002730354,0.0006337089,0.00020005887,0.00016178489,0.0015302657],"category_scores_gemma":[0.003091934,0.00013560247,0.00021325871,0.0012914619,0.0004315591,0.00045580225,0.00090180367,0.00015524268,0.00012286552],"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":[0.00027133763,0.000026042415,0.9674493,0.000059050835,0.00006945471,0.00021634449,0.0013885691,0.00077456253,0.0032858483,0.00011424586,0.00022224682,0.02612301],"study_design_scores_gemma":[0.000002552469,0.000045186374,0.9984773,0.000007051896,0.000010232412,0.00003781304,0.0004105119,0.000596069,0.0001825424,0.00004032481,0.00018563533,0.000004725014],"about_ca_topic_score_codex":0.045843493,"about_ca_topic_score_gemma":0.10696299,"teacher_disagreement_score":0.045843493,"about_ca_system_score_codex":0.0008034908,"about_ca_system_score_gemma":0.00035266546,"threshold_uncertainty_score":0.091153264},"labels":[],"label_agreement":null},{"id":"W4368353648","doi":"10.1016/j.ejrh.2023.101407","title":"Regional flood frequency analysis based on peaks-over-threshold approach: A case study for South-Eastern Australia","year":2023,"lang":"en","type":"article","venue":"Journal of Hydrology Regional Studies","topic":"Hydrology and Drought Analysis","field":"Environmental Science","cited_by":19,"is_retracted":false,"has_abstract":true,"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":"Flood myth; Ordinary least squares; Range (aeronautics); Estimation; Statistics; Surface runoff; Environmental science; Hydrology (agriculture); Computer science; Econometrics; Geography; Mathematics; Geology; Engineering; Ecology; Geotechnical engineering","score_opus":0.10659216521790288,"score_gpt":0.338945374912667,"score_spread":0.23235320969476414,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4368353648","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":[0.9937056,0.00007176693,0.004388866,0.00008930235,0.0000024477679,0.0000670503,0.00012102686,0.000022011285,0.0015319336],"genre_scores_gemma":[0.9907997,0.00013505905,0.00786733,0.000013614279,0.0000040976306,0.000031847998,0.00013389469,0.000008914339,0.0010054794],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996258,0.00017451562,0.000029891744,0.000056045043,0.00007114494,0.000042538413],"domain_scores_gemma":[0.99898046,0.00047075687,0.00014206865,0.000085864565,0.0002516588,0.00006923391],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00095508056,0.00028842874,0.00031319633,0.00087145413,0.00042464165,0.0005183247,0.00046755126,0.0003561565,0.00073822273],"category_scores_gemma":[0.0023449543,0.00016783332,0.00043948315,0.0012608321,0.00030379603,0.000456389,0.0005912661,0.00031872556,0.00010385154],"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":[0.00033860232,0.0008284923,0.62961966,0.0005480064,0.00031044855,0.014707462,0.0117062945,0.14412922,0.013829004,0.005452469,0.0025555573,0.17597489],"study_design_scores_gemma":[0.000033479573,0.00037830626,0.73328024,0.00008620932,0.0001487413,0.0011744538,0.008609738,0.24786039,0.0026149799,0.0014735517,0.004266662,0.0000732028],"about_ca_topic_score_codex":0.10124125,"about_ca_topic_score_gemma":0.15897371,"teacher_disagreement_score":0.10124125,"about_ca_system_score_codex":0.0011672787,"about_ca_system_score_gemma":0.0007357642,"threshold_uncertainty_score":0.20130396},"labels":[],"label_agreement":null},{"id":"W4375846784","doi":"10.1016/j.ejrh.2023.101411","title":"Determining the source and mechanism of river salinity: An integrated regional study","year":2023,"lang":"en","type":"article","venue":"Journal of Hydrology Regional Studies","topic":"Hydrocarbon exploration and reservoir analysis","field":"Engineering","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 Waterloo","funders":"Shiraz University","keywords":"Halite; Geology; Salinity; Hydrology (agriculture); Sinuosity; Brine; Groundwater recharge; Evaporite; Geochemistry; Structural basin; Groundwater; Aquifer; Geomorphology; Sedimentary rock; Oceanography; Geotechnical engineering","score_opus":0.061189402432723666,"score_gpt":0.2958949343486018,"score_spread":0.23470553191587815,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4375846784","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":[0.9991804,0.00013480928,0.00022339834,0.000027958728,0.0000016030216,0.000011932982,0.00014544239,0.0000090315025,0.00026539963],"genre_scores_gemma":[0.99878556,0.00016942213,0.000632672,0.000009239751,0.0000046543896,0.000008917482,0.00027728142,0.0000022736704,0.00010984962],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997918,0.00003655574,0.000016225842,0.000058453188,0.0000432447,0.000053725875],"domain_scores_gemma":[0.9998541,0.000019548344,0.000037285638,0.000016003689,0.00005285901,0.000020264697],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00048712365,0.00028885642,0.00038485083,0.0015214868,0.00021773181,0.0004935728,0.00035118422,0.0002732453,0.0003628757],"category_scores_gemma":[0.00039052102,0.0002441839,0.0006202491,0.0018606783,0.00028237604,0.0004195507,0.0005140383,0.00015880314,0.00006710709],"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":[0.000057378955,0.00004200441,0.9791089,0.000059010286,0.00024493446,0.00028732658,0.00072691025,0.0014989738,0.0039055943,0.00015237725,0.00012590278,0.013790579],"study_design_scores_gemma":[0.000006643675,0.00003116147,0.99692374,0.000006618147,0.00011347176,0.0000613048,0.0007914773,0.0014979767,0.00021289232,0.0000364004,0.0003120383,0.000006199547],"about_ca_topic_score_codex":0.054576993,"about_ca_topic_score_gemma":0.081201725,"teacher_disagreement_score":0.054576993,"about_ca_system_score_codex":0.0006944937,"about_ca_system_score_gemma":0.0010481802,"threshold_uncertainty_score":0.10851866},"labels":[],"label_agreement":null},{"id":"W4377263730","doi":"10.1016/j.ejrh.2023.101415","title":"Assessment of the potential impacts of climate changes on Syr Darya watershed: A hybrid ensemble analysis method","year":2023,"lang":"en","type":"article","venue":"Journal of Hydrology Regional Studies","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 Regina","funders":"Chinese Academy of Sciences; National Natural Science Foundation of China","keywords":"Streamflow; Watershed; Climate change; Precipitation; Environmental science; Climatology; Water resources; Water balance; Downscaling; Hydrology (agriculture); Drainage basin; Geography; Meteorology; Geology; Ecology","score_opus":0.02646032519924872,"score_gpt":0.3215014856998317,"score_spread":0.295041160500583,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4377263730","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":[0.64833754,0.000552156,0.34526792,0.00031166486,0.00007103786,0.00008396273,0.0009583108,0.00052185403,0.0038955861],"genre_scores_gemma":[0.94329464,0.0002480803,0.054500144,0.00003622304,0.000028686663,0.00008644467,0.0010237718,0.0000322392,0.0007496532],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998129,0.00006996619,0.000013727204,0.00003786091,0.00004147024,0.000024125146],"domain_scores_gemma":[0.9997427,0.000108907014,0.0000255276,0.00002187051,0.00008413868,0.000016833272],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00083688734,0.0005589278,0.0004937304,0.0007584225,0.00034158066,0.0007314438,0.0004559146,0.00039768082,0.0006009535],"category_scores_gemma":[0.0009966077,0.0001676561,0.0008651431,0.0006429073,0.00012116268,0.00054820953,0.0005191376,0.00041335926,0.00008262431],"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":[0.00006731831,0.00006889061,0.022230996,0.00003641827,0.00035290647,0.00012318426,0.000075295575,0.90780866,0.0033240886,0.0011957986,0.0007773058,0.06393906],"study_design_scores_gemma":[0.000002345766,0.0000086459795,0.0016815946,0.0000027182518,0.000018343431,0.000006271318,0.000015957674,0.9976926,0.00020278835,0.00021978276,0.00014495726,0.0000040202517],"about_ca_topic_score_codex":0.013960022,"about_ca_topic_score_gemma":0.01618672,"teacher_disagreement_score":0.013960022,"about_ca_system_score_codex":0.0003124013,"about_ca_system_score_gemma":0.0008029557,"threshold_uncertainty_score":0.027757525},"labels":[],"label_agreement":null},{"id":"W4383652233","doi":"10.1016/j.ejrh.2023.101465","title":"A framework to assess future water-resource under climate change in northern Morocco using hydro-climatic modelling and water-withdrawal scenarios","year":2023,"lang":"en","type":"article","venue":"Journal of Hydrology Regional Studies","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":13,"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":"Providence Health Care","keywords":"Environmental science; Climate change; Water resources; Precipitation; Mediterranean climate; Climate model; Representative Concentration Pathways; Water resource management; Hydrology (agriculture); Drainage basin; Mediterranean Basin; Resource (disambiguation); Hydrological modelling; Climatology; Geography; Meteorology; Computer science; Ecology; Geology","score_opus":0.07639224778120877,"score_gpt":0.3062723019446835,"score_spread":0.22988005416347473,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4383652233","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":[0.49724296,0.0025936912,0.4613043,0.0032733728,0.0001045089,0.00046202852,0.0039921887,0.0007318088,0.030295074],"genre_scores_gemma":[0.95640856,0.0004133913,0.041306697,0.00006133144,0.000020673015,0.00024687735,0.00061910076,0.000026006317,0.00089734374],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996201,0.00021722342,0.000020290081,0.000054096767,0.000047263842,0.00004106244],"domain_scores_gemma":[0.99974173,0.0001005582,0.000056462508,0.000017160744,0.000055255638,0.00002869193],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012311067,0.0007870687,0.00031880214,0.001263475,0.00044628663,0.0017389355,0.0008073066,0.0006465261,0.0010461585],"category_scores_gemma":[0.0012712011,0.00019006379,0.0006487982,0.00063893775,0.0004966889,0.00067063584,0.0011152735,0.00036862862,0.00008871378],"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":[0.000023677216,0.00003234835,0.0047334973,0.00006791089,0.00009319156,0.0002760772,0.00019238109,0.952848,0.0008253319,0.032520927,0.0005775121,0.0078092655],"study_design_scores_gemma":[0.000014954697,0.000028774215,0.0033677705,0.000053157073,0.000030531126,0.000036580514,0.0002388306,0.9724822,0.00021829197,0.020221448,0.003286799,0.000020668542],"about_ca_topic_score_codex":0.04397927,"about_ca_topic_score_gemma":0.03592553,"teacher_disagreement_score":0.04397927,"about_ca_system_score_codex":0.0027217567,"about_ca_system_score_gemma":0.0015616757,"threshold_uncertainty_score":0.08744651},"labels":[],"label_agreement":null},{"id":"W4388884217","doi":"10.1016/j.ejrh.2023.101582","title":"Impacts of small and medium-sized reservoirs on streamflow in two basins of Southeast China, using a hydrological model to separate influences of multiple drivers","year":2023,"lang":"en","type":"article","venue":"Journal of Hydrology Regional Studies","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Nipissing University","funders":"Natural Science Foundation of Fujian Province; National Natural Science Foundation of China","keywords":"Streamflow; Surface runoff; Environmental science; Drainage basin; Hydrology (agriculture); Terrain; China; Structural basin; Climate change; Water resource management; Physical geography; Geography; Geology","score_opus":0.06584825133077382,"score_gpt":0.3218021708104946,"score_spread":0.2559539194797208,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388884217","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":[0.9988582,0.000017626082,0.0007508433,0.000053850494,0.000002767275,0.000008188779,0.00005624018,0.000016469663,0.00023587733],"genre_scores_gemma":[0.99946827,0.000024932358,0.00030930073,0.000006099935,0.0000011900088,0.000008015308,0.000066339475,0.0000020976806,0.00011375922],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99981946,0.00006244036,0.0000137632105,0.000038874066,0.00002128129,0.000044226374],"domain_scores_gemma":[0.999796,0.00006697681,0.000030316045,0.000017505101,0.000039161936,0.00005004939],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045339676,0.00044082917,0.00031108377,0.00037019103,0.0005066811,0.0006673024,0.0004979133,0.0004976817,0.00055033434],"category_scores_gemma":[0.0006545082,0.00031326772,0.0007762331,0.00045550233,0.00039419442,0.00062317686,0.0005171248,0.00027960946,0.00003026048],"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":[0.00017075062,0.00023683281,0.24423791,0.000048908463,0.00018766758,0.0005506866,0.00020299718,0.7401133,0.004239304,0.0011840218,0.00036720795,0.008460358],"study_design_scores_gemma":[0.00003771874,0.00005844567,0.048801024,0.000004348057,0.00006574741,0.000017993652,0.00013299809,0.9497833,0.00054777856,0.0003923799,0.00014342925,0.000014832912],"about_ca_topic_score_codex":0.1162941,"about_ca_topic_score_gemma":0.08680577,"teacher_disagreement_score":0.1162941,"about_ca_system_score_codex":0.0016903912,"about_ca_system_score_gemma":0.002146471,"threshold_uncertainty_score":0.23123437},"labels":[],"label_agreement":null},{"id":"W4389066729","doi":"10.1016/j.ejrh.2023.101580","title":"Deriving synthetic rating curves from a digital elevation model to delineate the inundated areas of small watersheds","year":2023,"lang":"en","type":"article","venue":"Journal of Hydrology Regional Studies","topic":"Flood Risk Assessment and Management","field":"Environmental Science","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs; Université du Québec à Montréal; Université Laval","keywords":"Floodplain; Digital elevation model; Hydrology (agriculture); Flood myth; Elevation (ballistics); Environmental science; Terrain; Drainage density; Drainage; Calibration; Watershed; Remote sensing; Cartography; Geology; Computer science; Drainage basin; Geography; Statistics; Ecology; Mathematics","score_opus":0.05958914650477115,"score_gpt":0.29067678385405216,"score_spread":0.231087637349281,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389066729","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":[0.9150697,0.000032527707,0.07462119,0.000066051056,0.000009832446,0.000140529,0.0030211469,0.0017126715,0.0053263768],"genre_scores_gemma":[0.9666519,0.000026888401,0.030427335,0.000010881201,0.0000018222626,0.0000399958,0.0020973135,0.000047446527,0.00069634174],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998406,0.000030006284,0.000010340347,0.00003325418,0.000060144892,0.000025545565],"domain_scores_gemma":[0.9995097,0.00013506968,0.00004824194,0.00006673934,0.00021562696,0.00002460374],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033671534,0.0003765415,0.00015142553,0.0008598816,0.00016070098,0.0006076959,0.0003397663,0.00019034652,0.0008872113],"category_scores_gemma":[0.0015244125,0.00013535135,0.000205151,0.0008291368,0.00015186843,0.0002650306,0.00020198591,0.00018363148,0.00021182376],"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":[0.00009223947,0.000106355365,0.099259324,0.000044477554,0.00004403717,0.00014459321,0.0002004182,0.7579205,0.008556785,0.001355241,0.0017607755,0.13051532],"study_design_scores_gemma":[0.000006559808,0.000013680708,0.025541758,0.000004264577,0.0000048528486,0.000014269778,0.000052026866,0.971686,0.0016480727,0.00015750792,0.00086085364,0.000010241259],"about_ca_topic_score_codex":0.3679641,"about_ca_topic_score_gemma":0.47775283,"teacher_disagreement_score":0.3679641,"about_ca_system_score_codex":0.0020662015,"about_ca_system_score_gemma":0.0015696753,"threshold_uncertainty_score":0.73164463},"labels":[],"label_agreement":null},{"id":"W4390226067","doi":"10.1016/j.ejrh.2023.101641","title":"Blue-green water migration and utilization efficiency under various irrigation-drainage measures applied to a paddy field","year":2023,"lang":"en","type":"article","venue":"Journal of Hydrology Regional Studies","topic":"Irrigation Practices and Water Management","field":"Agricultural and Biological 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":"McGill University","funders":"Fundamental Research Funds for the Central Universities; Qinglan Project of Jiangsu Province of China; Natural Science Foundation of Jiangsu Province; National Natural Science Foundation of China","keywords":"Irrigation; Environmental science; Drainage; Water-use efficiency; Water use; Water resources; Precipitation; Agriculture; Paddy field; Deficit irrigation; Water resource management; Agricultural engineering; Hydrology (agriculture); Agronomy; Irrigation management; Geography; Ecology; Biology; Engineering","score_opus":0.07935631065871646,"score_gpt":0.2871218459493004,"score_spread":0.20776553529058395,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390226067","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":[0.9996544,0.0000055389955,0.0001938971,0.0000016624073,3.4910946e-7,0.000003590748,0.000034420445,0.0000036255851,0.000102427126],"genre_scores_gemma":[0.9993387,0.000012940709,0.00043284483,0.0000026175712,3.7608555e-7,0.0000091209695,0.00008102202,9.5274186e-7,0.00012145622],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99992144,0.000014016006,0.0000058137716,0.000026750438,0.000015602543,0.000016277034],"domain_scores_gemma":[0.999905,0.000025646466,0.000020757856,0.000010139269,0.000026484027,0.000012014172],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002601666,0.00019641062,0.00017077212,0.0004221685,0.00020029132,0.00022451502,0.00016026806,0.00011560563,0.00023856762],"category_scores_gemma":[0.00018609547,0.00008229044,0.00016397989,0.00046066343,0.00017874244,0.00022764206,0.00016631496,0.00008594605,0.000028501194],"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":[0.0007270835,0.0004041778,0.729407,0.00018948462,0.00012002971,0.00030748826,0.00078020437,0.038379416,0.16976121,0.00030807444,0.00033553803,0.059280235],"study_design_scores_gemma":[0.000016835975,0.00029271355,0.96145064,0.0000048569327,0.000033449713,0.000035133384,0.00034013833,0.02644003,0.011033422,0.00007583876,0.00026076872,0.000016085234],"about_ca_topic_score_codex":0.016444296,"about_ca_topic_score_gemma":0.035057224,"teacher_disagreement_score":0.016444296,"about_ca_system_score_codex":0.00048676945,"about_ca_system_score_gemma":0.00033289043,"threshold_uncertainty_score":0.03269714},"labels":[],"label_agreement":null},{"id":"W4393071716","doi":"10.1016/j.ejrh.2024.101746","title":"An aggregation framework to diagnose the compound hydroclimatic change of the Tibetan Plateau using multiple reanalysis data","year":2024,"lang":"en","type":"article","venue":"Journal of Hydrology Regional Studies","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","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":"University of Saskatchewan","funders":"National Natural Science Foundation of China","keywords":"Plateau (mathematics); Evapotranspiration; Climate change; Climatology; Environmental science; Surface runoff; Structural basin; Global warming; Water resources; Trend analysis; Geography; Hydrology (agriculture); Geology; Ecology","score_opus":0.2157080522986568,"score_gpt":0.35762479188637797,"score_spread":0.14191673958772116,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393071716","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":[0.44916913,0.0014379512,0.5363722,0.00082880305,0.00013017278,0.00030704372,0.003955865,0.0015356448,0.006263163],"genre_scores_gemma":[0.925399,0.00025555785,0.07094387,0.000054767395,0.00008354304,0.00011102329,0.0022648233,0.00003847382,0.00084902404],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99947566,0.00012825322,0.000053391643,0.00016300118,0.00010085121,0.00007894635],"domain_scores_gemma":[0.99945325,0.00011006489,0.000092544906,0.00003618343,0.00025400182,0.0000539382],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011897405,0.00083831965,0.00050684606,0.00259597,0.00063846534,0.0013606838,0.00063535955,0.00039154934,0.0009251046],"category_scores_gemma":[0.0018889199,0.00022024004,0.00088516163,0.0016678149,0.00022795417,0.00089646043,0.00090300053,0.00039962315,0.00012675952],"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":[0.00018368513,0.00017322597,0.20919114,0.00028652017,0.0007024577,0.0008226216,0.0010715598,0.522895,0.006629657,0.008786171,0.0063432655,0.24291469],"study_design_scores_gemma":[0.000008918343,0.000029238163,0.018314285,0.000020030711,0.00006964845,0.000038818955,0.00026673253,0.9761544,0.00037674335,0.0035075573,0.0011951586,0.000018437306],"about_ca_topic_score_codex":0.052538738,"about_ca_topic_score_gemma":0.04574094,"teacher_disagreement_score":0.052538738,"about_ca_system_score_codex":0.0008085269,"about_ca_system_score_gemma":0.0012686834,"threshold_uncertainty_score":0.1044659},"labels":[],"label_agreement":null},{"id":"W4397049625","doi":"10.1016/j.ejrh.2024.101819","title":"From threat to opportunity: Hydrologic uncertainty regionalization across large domains","year":2024,"lang":"en","type":"article","venue":"Journal of Hydrology Regional Studies","topic":"Hydrology and Watershed Management Studies","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":true,"ca_institutions":"McGill University; University of Northern British Columbia; University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Uncertainty analysis; Computer science; Latitude; Uncertainty quantification; Precipitation; Variance (accounting); Environmental science; Data mining; Econometrics; Geography; Meteorology; Mathematics; Machine learning; Accounting; Simulation","score_opus":0.047600077025666196,"score_gpt":0.3301281652595835,"score_spread":0.2825280882339173,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4397049625","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":[0.8933008,0.00019750155,0.101207554,0.00035218144,0.0000058244786,0.000079562575,0.00042536692,0.00013427652,0.0042968853],"genre_scores_gemma":[0.99060845,0.000035615773,0.008952209,0.0000102084705,0.0000020792324,0.0000114991,0.00011840345,0.000014007054,0.00024756315],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993612,0.00025667442,0.000022313287,0.00012333578,0.00015272392,0.0000837464],"domain_scores_gemma":[0.9980343,0.0011742776,0.00024328916,0.00018662881,0.00028708906,0.000074353],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014453757,0.00023227476,0.00028795697,0.00078910316,0.00057474093,0.0018248275,0.0005609027,0.00035202914,0.00077493006],"category_scores_gemma":[0.006610832,0.00013807241,0.0003657603,0.0011386584,0.00077310787,0.0010656883,0.0011685648,0.0006194539,0.000042782463],"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":[0.0001394344,0.000036559628,0.061677024,0.00004596673,0.00009785748,0.00026871407,0.0006309661,0.8814137,0.002111759,0.01270243,0.0004083086,0.04046728],"study_design_scores_gemma":[0.000013622799,0.000036194535,0.04507494,0.000021565389,0.000040623032,0.000104472696,0.001164736,0.93858224,0.0027304764,0.010171058,0.0020270909,0.000033077038],"about_ca_topic_score_codex":0.17534629,"about_ca_topic_score_gemma":0.17407538,"teacher_disagreement_score":0.17534629,"about_ca_system_score_codex":0.0035156938,"about_ca_system_score_gemma":0.002863596,"threshold_uncertainty_score":0.3486513},"labels":[],"label_agreement":null},{"id":"W4399264185","doi":"10.1016/j.ejrh.2024.101818","title":"Connecting past, present, and future trends of hydraulic and phosphorus loading in the Bay of Quinte tributaries, Ontario, Canada","year":2024,"lang":"en","type":"article","venue":"Journal of Hydrology Regional Studies","topic":"Hydrology and Sediment Transport Processes","field":"Environmental Science","cited_by":6,"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 Toronto; The Scarborough Hospital","funders":"Department of the Environment, Australian Government; Natural Sciences and Engineering Research Council of Canada; Government of Canada","keywords":"Tributary; Bay; Phosphorus; Environmental science; Oceanography; Hydrology (agriculture); Geography; Geology; Geotechnical engineering; Chemistry; Cartography","score_opus":0.015332108914508097,"score_gpt":0.2418122117666419,"score_spread":0.2264801028521338,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399264185","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":[0.9866284,0.0009555814,0.00038640064,0.001306579,0.000022567878,0.000042576838,0.0061815497,0.000042455482,0.004433747],"genre_scores_gemma":[0.99611413,0.00044551757,0.00029457163,0.000060422837,0.0000038387116,0.00001699453,0.0012043391,0.0000072598214,0.0018529723],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999678,0.000030162633,0.000021229147,0.00007739733,0.00009631481,0.000096903925],"domain_scores_gemma":[0.9984359,0.000106811916,0.000207022,0.000041239477,0.00095112715,0.00025787632],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039697782,0.00024197083,0.00019406469,0.0009272692,0.0015244902,0.001399389,0.0010190654,0.000342407,0.0017435198],"category_scores_gemma":[0.0016028937,0.00020945827,0.00034846787,0.0018799531,0.0005978263,0.00044641664,0.0008081337,0.0003659729,0.00014383819],"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":[0.00003064502,0.000023239027,0.983051,0.00006256176,0.000052942672,0.00014927522,0.0017275134,0.0031130002,0.0004617687,0.00043044597,0.0037088543,0.0071886526],"study_design_scores_gemma":[0.0000052480873,0.00001010235,0.98776954,0.000038809896,0.000024184454,0.00003293546,0.0023602492,0.0053172964,0.000076605065,0.00007832887,0.0042683785,0.000018312647],"about_ca_topic_score_codex":0.99656445,"about_ca_topic_score_gemma":0.99856746,"teacher_disagreement_score":0.02765118,"about_ca_system_score_codex":0.02765118,"about_ca_system_score_gemma":0.025548011,"threshold_uncertainty_score":0.20062429},"labels":[],"label_agreement":null},{"id":"W4399437956","doi":"10.1016/j.ejrh.2024.101847","title":"Hydrologic performance quantification of green roofs using an analytical stochastic approach based on kernel distribution estimation: Extensive case studies in Shandong Province, northern China","year":2024,"lang":"en","type":"article","venue":"Journal of Hydrology Regional Studies","topic":"Urban Heat Island Mitigation","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":"McMaster University","funders":"","keywords":"Estimation; China; Kernel density estimation; Geography; Distribution (mathematics); Kernel (algebra); Environmental science; Physical geography; Statistics; Econometrics; Mathematics; Engineering; Archaeology","score_opus":0.08279414535170138,"score_gpt":0.3237898313607929,"score_spread":0.24099568600909155,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399437956","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":[0.99630034,0.00002236464,0.0031760111,0.000025141404,0.0000013228546,0.000014020443,0.000087803186,0.000023974771,0.00034890373],"genre_scores_gemma":[0.9987406,0.000018743918,0.0010355473,0.0000015015949,9.161312e-7,0.0000064063374,0.0000759396,0.0000029767243,0.00011727246],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996171,0.000101406666,0.000022940067,0.00007672944,0.00009526802,0.00008650006],"domain_scores_gemma":[0.9993111,0.00027186892,0.00009678599,0.00008056135,0.00018687916,0.000052782612],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012021551,0.00054174947,0.0004094681,0.00092584,0.0005018796,0.0007759938,0.00079897087,0.00046861407,0.00038993752],"category_scores_gemma":[0.0010937622,0.00029201078,0.0007977365,0.0011238261,0.00063138787,0.00058942393,0.00049731846,0.00031601152,0.000041012092],"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":[0.000119562836,0.00019566169,0.114826106,0.00008696075,0.0001050727,0.0013674552,0.00036351255,0.86241585,0.0046912683,0.0011547058,0.0004073441,0.014266522],"study_design_scores_gemma":[0.000015757503,0.000055037606,0.051704668,0.0000052378878,0.00004323863,0.000053746513,0.00042890504,0.9454307,0.0016809697,0.0003621293,0.0001963253,0.000023254881],"about_ca_topic_score_codex":0.10429522,"about_ca_topic_score_gemma":0.08981774,"teacher_disagreement_score":0.10429522,"about_ca_system_score_codex":0.0023225946,"about_ca_system_score_gemma":0.0015106436,"threshold_uncertainty_score":0.2073763},"labels":[],"label_agreement":null},{"id":"W4399847647","doi":"10.1016/j.ejrh.2026.103543","title":"Adaptation of Dual Drainage to Control Flooding and Enhance Combined Sewer Systems in Highly Urbanized Areas","year":2024,"lang":"en","type":"preprint","venue":"Journal of Hydrology Regional Studies","topic":"Urban Stormwater Management Solutions","field":"Environmental Science","cited_by":0,"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","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Flooding (psychology); Drainage; Adaptation (eye); Dual (grammatical number); Water resource management; Environmental science; Drainage system (geomorphology); Geography; Environmental planning; Environmental resource management; Ecology; Biology; Psychology","score_opus":0.02872300471588779,"score_gpt":0.2684349150206719,"score_spread":0.23971191030478411,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399847647","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":[0.8439019,0.00008161166,0.15071763,0.00012463261,0.000017819108,0.00012382414,0.00009503836,0.00034241934,0.0045951856],"genre_scores_gemma":[0.9908064,0.000023141536,0.008286829,0.0000053932395,0.0000016507602,0.000025537514,0.000016531872,0.000007426923,0.00082705176],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99986243,0.000029555194,0.0000046954283,0.000032134038,0.000028707738,0.00004247838],"domain_scores_gemma":[0.99988437,0.000027215501,0.000025171497,0.000013653618,0.000027146549,0.000022471908],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017983277,0.00032738512,0.000339482,0.00027995356,0.0002184819,0.00066181284,0.00058557035,0.00041643134,0.000819194],"category_scores_gemma":[0.00042896552,0.0002226126,0.00032862282,0.00019915844,0.00041225879,0.00037434287,0.0006499351,0.0002388897,0.00006968107],"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":[0.000069286776,0.00013661155,0.0047515337,0.000027857075,0.00001901373,0.000094799405,0.0000410464,0.9670615,0.013994146,0.0008909586,0.00014484784,0.012768267],"study_design_scores_gemma":[0.00001823923,0.00007445932,0.0014825052,0.0000018316457,0.000008927048,0.000010980865,0.0000223168,0.9957681,0.002027127,0.00020542063,0.00037463967,0.0000054815987],"about_ca_topic_score_codex":0.02081303,"about_ca_topic_score_gemma":0.02598565,"teacher_disagreement_score":0.02081303,"about_ca_system_score_codex":0.00065789657,"about_ca_system_score_gemma":0.001084263,"threshold_uncertainty_score":0.041383743},"labels":[],"label_agreement":null},{"id":"W4400839100","doi":"10.1016/j.ejrh.2024.101888","title":"Streamflow response to land use/land cover change in the tropical Andes using multiple SWAT model variants","year":2024,"lang":"en","type":"article","venue":"Journal of Hydrology Regional Studies","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":19,"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":"Social Sciences and Humanities Research Council of Canada; Universidad de Antioquia; Fondations communautaires du Canada; Universidad del Norte; Kementerian Sains, Teknologi dan Inovasi; Technische Universiteit Delft; Fondation Rideau Hall; International Development Research Centre; Ministerio de Ciencia, Tecnología e Innovación","keywords":"Streamflow; Land cover; SWAT model; Geography; Land use; Land use, land-use change and forestry; Climatology; Environmental science; Forestry; Cartography; Geology; Ecology; Drainage basin; Biology; Archaeology; Agriculture","score_opus":0.09755375216924474,"score_gpt":0.3173720245901046,"score_spread":0.21981827242085988,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400839100","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":[0.9972978,0.000052892585,0.0004957242,0.00007327709,0.000010390861,0.000011876744,0.0010425348,0.00012593974,0.0008896712],"genre_scores_gemma":[0.99785537,0.00003734983,0.00073989393,0.000015830215,0.000004089653,0.000013975579,0.001086894,0.000015430567,0.00023127065],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998735,0.000025001886,0.000009626656,0.000044952867,0.000016877337,0.00002993333],"domain_scores_gemma":[0.99967563,0.000097492026,0.000046416837,0.000031923344,0.00009606874,0.00005261071],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002841222,0.0006615127,0.00035378785,0.00039106363,0.00037116406,0.00079781405,0.00067661365,0.0005462832,0.001055365],"category_scores_gemma":[0.0006775964,0.00020328892,0.00069008034,0.00051432184,0.0003308765,0.0003825048,0.00023255417,0.00039275776,0.00008633039],"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":[0.00036387454,0.00028969816,0.11799286,0.000080700614,0.00019683632,0.00022904883,0.000102923754,0.86651665,0.004842647,0.0005000804,0.0013763444,0.0075083855],"study_design_scores_gemma":[0.000064487205,0.000035094505,0.044383924,0.000008505165,0.000051948136,0.00001737312,0.00006929626,0.95410687,0.00084150495,0.00006518833,0.00032869188,0.000027069886],"about_ca_topic_score_codex":0.29122302,"about_ca_topic_score_gemma":0.23792243,"teacher_disagreement_score":0.29122302,"about_ca_system_score_codex":0.0015639911,"about_ca_system_score_gemma":0.0010431902,"threshold_uncertainty_score":0.5790558},"labels":[],"label_agreement":null},{"id":"W4402667866","doi":"10.1016/j.ejrh.2024.101969","title":"Assessment of monthly to daily streamflow disaggregation methods: A case study of the Nile River Basin","year":2024,"lang":"en","type":"article","venue":"Journal of Hydrology Regional Studies","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":3,"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":"Natural Sciences and Engineering Research Council of Canada","keywords":"Streamflow; Drainage basin; Geography; Structural basin; Hydrology (agriculture); Environmental science; Climatology; Water resource management; Geology; Cartography; Geomorphology","score_opus":0.03523772354140174,"score_gpt":0.3559987238242778,"score_spread":0.320761000282876,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402667866","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":[0.97417814,0.0002558525,0.023940321,0.00012828797,0.0000108065715,0.000060154765,0.00029848533,0.00015089686,0.0009771727],"genre_scores_gemma":[0.9694994,0.0001550145,0.029570589,0.000017357415,0.000006751894,0.000046211633,0.00041036954,0.000022260596,0.00027208464],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988696,0.0005314244,0.00009069777,0.0001474767,0.0002867755,0.000073980336],"domain_scores_gemma":[0.99664503,0.0015824696,0.00028987,0.0004114739,0.00094567053,0.00012532264],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0037368436,0.0004609386,0.00052146724,0.0011840205,0.0004393757,0.000843879,0.00040459796,0.00044628663,0.00037886034],"category_scores_gemma":[0.0065372484,0.0001874659,0.00048821,0.0013125482,0.00028783976,0.0006278504,0.0007953876,0.0003889361,0.00005954732],"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":[0.00042678768,0.00037259745,0.19415946,0.00034759293,0.0003753091,0.0004768956,0.0020348884,0.54170215,0.00923462,0.002131229,0.001385173,0.24735329],"study_design_scores_gemma":[0.000044717974,0.00022359329,0.1448885,0.000057856556,0.00009812669,0.00012018344,0.0013025462,0.8446645,0.0045105186,0.0009987783,0.0030417938,0.00004882704],"about_ca_topic_score_codex":0.020438379,"about_ca_topic_score_gemma":0.020557392,"teacher_disagreement_score":0.020438379,"about_ca_system_score_codex":0.0007962032,"about_ca_system_score_gemma":0.00080631446,"threshold_uncertainty_score":0.040638804},"labels":[],"label_agreement":null},{"id":"W4403180648","doi":"10.1016/j.ejrh.2024.101991","title":"Baseflow characteristics and drivers in headwater catchment of the Yellow River, Tibetan Plateau","year":2024,"lang":"en","type":"article","venue":"Journal of Hydrology Regional Studies","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":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia, Okanagan Campus","funders":"University of British Columbia; National Natural Science Foundation of China; Natural Science Foundation of Shandong Province; China Scholarship Council; China Association for Science and Technology","keywords":"Plateau (mathematics); Baseflow; Drainage basin; Geography; Water resource management; Hydrology (agriculture); Environmental science; Cartography; Geology; Streamflow; Mathematics","score_opus":0.017203551162447026,"score_gpt":0.24963973938696593,"score_spread":0.2324361882245189,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403180648","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":[0.99966216,0.000015982043,0.000052323445,0.0000074976933,5.375344e-7,0.000004219621,0.00012212784,0.0000022684178,0.00013287165],"genre_scores_gemma":[0.9995851,0.000018495504,0.00005187163,0.0000036014321,0.0000019241518,0.000006901833,0.00021354332,9.624921e-7,0.00011768826],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998529,0.000027246793,0.000014745099,0.0000394357,0.000024517802,0.00004106476],"domain_scores_gemma":[0.9997484,0.00004762262,0.000063333384,0.00001507659,0.00004466948,0.00008096014],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003992529,0.0001796177,0.00021427007,0.0007404993,0.00038706005,0.00055177795,0.00025143957,0.0001979555,0.000763013],"category_scores_gemma":[0.000577669,0.000096095995,0.00020344288,0.0015336002,0.0003166545,0.00031216315,0.0003818894,0.0001458552,0.00005937438],"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":[0.000032341475,0.00003304188,0.9955914,0.0000087528715,0.000016898235,0.00015595506,0.00036409448,0.00042404426,0.0007393263,0.000078071775,0.000079061174,0.0024770095],"study_design_scores_gemma":[0.000003014579,0.000013256927,0.9977187,0.0000029154698,0.000005112902,0.00003029625,0.0005342763,0.0015161639,0.00003310427,0.000040474843,0.00009989743,0.0000028301233],"about_ca_topic_score_codex":0.055032562,"about_ca_topic_score_gemma":0.0705573,"teacher_disagreement_score":0.055032562,"about_ca_system_score_codex":0.00071960705,"about_ca_system_score_gemma":0.00065157865,"threshold_uncertainty_score":0.10942447},"labels":[],"label_agreement":null},{"id":"W4404645163","doi":"10.1016/j.ejrh.2024.102067","title":"Identification of robust catchment classification methods for Sahelian watersheds","year":2024,"lang":"en","type":"article","venue":"Journal of Hydrology Regional Studies","topic":"Hydrology and Watershed Management Studies","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":"United Nations University Institute for Water, Environment, and Health; McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Geography; Identification (biology); Drainage basin; Watershed; Cartography; Forestry; Ecology; Biology; Computer science; Machine learning","score_opus":0.07300552889969325,"score_gpt":0.3674268075235574,"score_spread":0.29442127862386414,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404645163","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":[0.32797888,0.00036669816,0.6686381,0.00015888398,0.000027624807,0.0003972604,0.00022430702,0.0007564863,0.0014517045],"genre_scores_gemma":[0.7390375,0.00011082834,0.2599396,0.000024461258,0.000015381393,0.00021707539,0.00027152296,0.00005321467,0.00033033267],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99883133,0.00044402762,0.00009652185,0.00020784161,0.0003070909,0.000113201604],"domain_scores_gemma":[0.9982284,0.00073221617,0.00029183118,0.00012915002,0.000574556,0.000043927],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0038336199,0.00053142454,0.0006253032,0.002361445,0.0003732823,0.0012709837,0.0006625784,0.00061217527,0.000665396],"category_scores_gemma":[0.0077876365,0.00022213766,0.000604055,0.0014037885,0.00034142734,0.00080807164,0.0006975709,0.00036063627,0.0001143398],"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":[0.00028904804,0.00023249062,0.03491351,0.00021176328,0.0002850861,0.00021471051,0.00049137644,0.4379747,0.018399784,0.0075787343,0.0009255714,0.49848315],"study_design_scores_gemma":[0.00001466693,0.000033814576,0.009423458,0.000011484483,0.000021186306,0.000024517154,0.000108943255,0.9849867,0.0030114786,0.0017807902,0.0005675,0.000015358297],"about_ca_topic_score_codex":0.007095313,"about_ca_topic_score_gemma":0.005650199,"teacher_disagreement_score":0.007095313,"about_ca_system_score_codex":0.0010719651,"about_ca_system_score_gemma":0.0012525229,"threshold_uncertainty_score":0.0202744},"labels":[],"label_agreement":null},{"id":"W4404645218","doi":"10.1016/j.ejrh.2024.102073","title":"Long-term evaluation of evapotranspiration from a reclaimed boreal forest in the Athabasca Oil Sands Region of Northern Alberta, Canada","year":2024,"lang":"en","type":"article","venue":"Journal of Hydrology Regional Studies","topic":"Plant Water Relations and Carbon Dynamics","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":true,"ca_institutions":"McMaster University","funders":"Syncrude","keywords":"Oil sands; Taiga; Evapotranspiration; Geography; Forestry; Boreal; Land reclamation; Term (time); Physical geography; Environmental science; Hydrology (agriculture); Archaeology; Geology; Ecology; Asphalt; Geotechnical engineering","score_opus":0.0281801372815102,"score_gpt":0.2582667988872139,"score_spread":0.23008666160570368,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404645218","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":[0.99904495,0.000052791158,0.000062983316,0.000010474528,0.0000017265022,0.0000062685876,0.00049243646,0.000005345673,0.00032296218],"genre_scores_gemma":[0.998271,0.00007269483,0.00022685691,0.000008497609,0.0000018607673,0.0000053855315,0.0010334842,0.0000024082876,0.00037766382],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99981683,0.00001036681,0.00000860139,0.000039096813,0.00008183326,0.000043322103],"domain_scores_gemma":[0.9994931,0.00003124959,0.000066716406,0.000016910219,0.00028972054,0.0001022569],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032540545,0.0003549466,0.00020371094,0.00060707354,0.0010051831,0.0006185256,0.00060702063,0.00018005358,0.00027780363],"category_scores_gemma":[0.0004423011,0.00011899044,0.00019688612,0.0011763738,0.00031875382,0.00023193174,0.00021685645,0.00021484247,0.00007717274],"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":[0.00031340256,0.00014321247,0.9706909,0.000043030122,0.00010599911,0.0004103634,0.0008145317,0.0038769962,0.008237595,0.00007866824,0.0005409768,0.014744278],"study_design_scores_gemma":[0.0000038791713,0.000021274773,0.99682117,0.0000039641627,0.000012310405,0.00003173147,0.00043314323,0.0018991281,0.0003799446,0.0000072882985,0.00038044516,0.000005626324],"about_ca_topic_score_codex":0.9410073,"about_ca_topic_score_gemma":0.9821571,"teacher_disagreement_score":0.058992684,"about_ca_system_score_codex":0.006967276,"about_ca_system_score_gemma":0.003987751,"threshold_uncertainty_score":0.11868018},"labels":[],"label_agreement":null},{"id":"W4404700188","doi":"10.1016/j.ejrh.2024.102068","title":"Disentangling the socio-natural dynamics of drought and water scarcity in Colombia's Tropical Andes","year":2024,"lang":"en","type":"article","venue":"Journal of Hydrology Regional Studies","topic":"Water Governance and Infrastructure","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hudbay Minerals (Canada); University of Toronto","funders":"","keywords":"Geography; Water scarcity; Scarcity; Natural (archaeology); Agriculture; Economics; Archaeology","score_opus":0.019472222943441694,"score_gpt":0.30829181266972594,"score_spread":0.28881958972628424,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404700188","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":[0.9791915,0.0024334202,0.0007757436,0.001751041,0.000023551385,0.000096008436,0.0010071219,0.00001361871,0.0147079285],"genre_scores_gemma":[0.99838996,0.0007100432,0.000278102,0.000055170403,0.000005974062,0.00002981467,0.00014334399,0.000002434007,0.00038523064],"study_design_codex":"observational","study_design_gemma":"qualitative","domain_scores_codex":[0.99943143,0.0002535797,0.00003526858,0.00007263525,0.000073139476,0.00013389564],"domain_scores_gemma":[0.998623,0.0006345554,0.00034463115,0.00004400086,0.00020620614,0.00014762123],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007794511,0.00019716303,0.0001993338,0.0014795709,0.0013984465,0.0015598795,0.0002767404,0.00024082352,0.0014696241],"category_scores_gemma":[0.002306347,0.00010051779,0.00008972939,0.0014624874,0.0010958215,0.0012588492,0.0013523051,0.00038627087,0.000039614784],"study_design_candidate":"qualitative","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":[0.00018084605,0.00011337928,0.6244601,0.0023123452,0.000087110006,0.0036674694,0.22100644,0.0015139166,0.005724896,0.01492507,0.0062834476,0.11972496],"study_design_scores_gemma":[0.000009402,0.000045892513,0.7241138,0.00040993092,0.00003792241,0.00027485818,0.23332228,0.0010470749,0.00043121792,0.0014816714,0.038770735,0.000055152268],"about_ca_topic_score_codex":0.18268599,"about_ca_topic_score_gemma":0.3817501,"teacher_disagreement_score":0.18268599,"about_ca_system_score_codex":0.0043097497,"about_ca_system_score_gemma":0.0026383195,"threshold_uncertainty_score":0.36324525},"labels":[],"label_agreement":null},{"id":"W4405073432","doi":"10.1016/j.ejrh.2024.102095","title":"A novel framework for uncertainty quantification of rainfall–runoff models based on a Bayesian approach focused on transboundary river basins","year":2024,"lang":"en","type":"article","venue":"Journal of Hydrology Regional Studies","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":false,"ca_institutions":"University of Saskatchewan","funders":"Korea Hydro and Nuclear Power","keywords":"Bayesian probability; Surface runoff; Environmental science; Drainage basin; Uncertainty quantification; Hydrology (agriculture); Geography; Water resource management; Computer science; Cartography; Geology; Artificial intelligence; Machine learning; Ecology; Geotechnical engineering","score_opus":0.06386001921397048,"score_gpt":0.29601356531242784,"score_spread":0.23215354609845734,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405073432","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":[0.0017334807,0.00011109231,0.99750286,0.00006454779,0.000008342633,0.00001988416,0.000035962323,0.00004907949,0.00047484692],"genre_scores_gemma":[0.3164123,0.00096193934,0.67984843,0.00016079865,0.00012700353,0.000518982,0.00036855528,0.00011179669,0.0014900924],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99817157,0.00087146746,0.000096596916,0.00032505376,0.00043114074,0.000104205894],"domain_scores_gemma":[0.99818903,0.0009619843,0.00026218087,0.00013209762,0.0003739938,0.00008069245],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0032916933,0.0012297004,0.0010520377,0.0021575144,0.0006656985,0.0020222284,0.0020749597,0.0012484287,0.0014507296],"category_scores_gemma":[0.006464684,0.0007857131,0.0016715951,0.0012846354,0.0012645882,0.002144603,0.002361126,0.002067189,0.00020902892],"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":[0.00001360626,0.000043659285,0.0012591352,0.00009183784,0.0001183692,0.00009688351,0.00010719999,0.82046413,0.0015728663,0.14520694,0.0006416958,0.030383758],"study_design_scores_gemma":[0.0000040551904,0.000015309268,0.00020292639,0.000021978547,0.00001708571,0.000026162272,0.000013369061,0.96608937,0.00026327177,0.03202399,0.0013061049,0.0000163714],"about_ca_topic_score_codex":0.009417383,"about_ca_topic_score_gemma":0.009471902,"teacher_disagreement_score":0.009417383,"about_ca_system_score_codex":0.0017897538,"about_ca_system_score_gemma":0.0031211474,"threshold_uncertainty_score":0.018725157},"labels":[],"label_agreement":null},{"id":"W4405394118","doi":"10.1016/j.ejrh.2024.102137","title":"Applying baseflow approach to the environmental flow needs of the Similkameen River Watershed in British Columbia, Canada","year":2024,"lang":"en","type":"article","venue":"Journal of Hydrology Regional Studies","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","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":"Natural Science Basic Research Program of Shaanxi Province; Northwest A and F University","keywords":"Baseflow; Watershed; Geography; Hydrology (agriculture); Stream flow; Streamflow; Environmental science; Water resource management; Drainage basin; Cartography; Geology; Computer science","score_opus":0.013086934386212206,"score_gpt":0.20009457972478126,"score_spread":0.18700764533856906,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405394118","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":[0.98323923,0.00019155673,0.0014324283,0.00019159437,0.0000062762683,0.00010498284,0.006758902,0.00006896516,0.008005945],"genre_scores_gemma":[0.98850167,0.00024427086,0.004144865,0.000048669088,0.0000035258392,0.000110631765,0.0042007505,0.000019209854,0.0027263833],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99965477,0.00002393307,0.000019179113,0.0000694973,0.00013112758,0.00010153697],"domain_scores_gemma":[0.9990085,0.00006262781,0.00005513192,0.000027116976,0.00072488486,0.00012171567],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032126866,0.00031267843,0.00032048277,0.0031097105,0.0018692947,0.0017195162,0.00083842705,0.00031205927,0.0015497222],"category_scores_gemma":[0.0014782231,0.00017952695,0.00023084499,0.005849142,0.0004270426,0.00039424363,0.00069492246,0.00042833912,0.00016341858],"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":[0.000059206053,0.000073796065,0.9329775,0.0000915281,0.00008702353,0.00053102087,0.002000438,0.010006614,0.0012150774,0.00092488166,0.004757499,0.047275353],"study_design_scores_gemma":[0.000005541249,0.000009917376,0.9720167,0.00004760681,0.000022711818,0.00004662434,0.004691149,0.019056268,0.0002461932,0.00027788425,0.0035521758,0.000027113025],"about_ca_topic_score_codex":0.990728,"about_ca_topic_score_gemma":0.99624443,"teacher_disagreement_score":0.018232524,"about_ca_system_score_codex":0.018232524,"about_ca_system_score_gemma":0.017140755,"threshold_uncertainty_score":0.13228685},"labels":[],"label_agreement":null},{"id":"W4405483540","doi":"10.1016/j.ejrh.2024.102133","title":"Characterizing the impacts of seismic lines on the water budget of a Boreal Watershed in Alberta (Western Canada)","year":2024,"lang":"en","type":"article","venue":"Journal of Hydrology Regional Studies","topic":"Peatlands and Wetlands Ecology","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":true,"ca_institutions":"University of Alberta; Canadian Forest Service; Natural Resources Canada; Geological Survey of Canada","funders":"Natural Resources Canada; Canadian Forest Service; Natural Sciences and Engineering Research Council of Canada","keywords":"Watershed; Boreal; Geography; Physical geography; Archaeology","score_opus":0.017389536657211345,"score_gpt":0.24707592444436036,"score_spread":0.229686387787149,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405483540","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":[0.99906296,0.000020938218,0.0000744701,0.00001890429,8.2445433e-7,0.000010565462,0.0002680056,0.000008091147,0.00053518446],"genre_scores_gemma":[0.998546,0.000052612188,0.00033294415,0.000015238723,9.1837205e-7,0.000007190846,0.0005158472,0.0000030111457,0.00052614696],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998435,0.000008955867,0.000005747421,0.000030734183,0.00006293322,0.000048096186],"domain_scores_gemma":[0.9997851,0.00001825511,0.000025301,0.0000064852234,0.000106604115,0.000058301146],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014993301,0.000315513,0.00020161245,0.0006253717,0.0012419393,0.00076659484,0.0006960724,0.00029180874,0.0005240406],"category_scores_gemma":[0.0003397203,0.0001467721,0.00017091271,0.001537707,0.0005800533,0.00019819214,0.0003248918,0.00020293471,0.000064683736],"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":[0.00033409562,0.00026716536,0.944234,0.000058640388,0.00008620426,0.0009896423,0.0012513242,0.015902167,0.015706629,0.00027192442,0.00084800343,0.020050125],"study_design_scores_gemma":[0.000013088974,0.000030676085,0.9857767,0.000006578951,0.000023599865,0.000041888386,0.0016390851,0.010951161,0.00089615444,0.00004068702,0.00056772516,0.000012691435],"about_ca_topic_score_codex":0.9824072,"about_ca_topic_score_gemma":0.9928226,"teacher_disagreement_score":0.017592788,"about_ca_system_score_codex":0.010515939,"about_ca_system_score_gemma":0.0063570193,"threshold_uncertainty_score":0.07629889},"labels":[],"label_agreement":null},{"id":"W4405743066","doi":"10.1016/j.ejrh.2024.102144","title":"Disparity in low-flow trends found in snowmelt-dominated mountain rivers of western Canada","year":2024,"lang":"en","type":"article","venue":"Journal of Hydrology Regional Studies","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":3,"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 Saskatchewan; Canmore Museum and Geoscience Centre","funders":"U.S. Geological Survey; Canada First Research Excellence Fund; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Snowmelt; Geography; Physical geography; Snow; Meteorology","score_opus":0.026325660562373763,"score_gpt":0.25991558623901595,"score_spread":0.2335899256766422,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405743066","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":[0.99702805,0.0001956514,0.00005607057,0.00008467623,0.000002755887,0.000007216201,0.00069554657,0.000011276421,0.0019187505],"genre_scores_gemma":[0.9987557,0.00010722912,0.00008269234,0.00002853966,0.0000016128375,0.000004428209,0.00043072668,0.0000039716133,0.00058510876],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996469,0.000022249005,0.00002431937,0.00009013227,0.000086740474,0.00012969533],"domain_scores_gemma":[0.99927276,0.000053817792,0.0000893327,0.000024479237,0.00036146928,0.0001982458],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002927026,0.00012585957,0.0002511686,0.0016126304,0.00143057,0.0010900565,0.00051878934,0.00021460703,0.0016567854],"category_scores_gemma":[0.00102232,0.00012870916,0.00020004512,0.0024210496,0.0005684507,0.00022242292,0.0004259418,0.00022122542,0.000121983096],"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":[0.00009056659,0.000016152686,0.98749244,0.0000239792,0.000069873524,0.00011750314,0.0017857623,0.00014957674,0.0018082949,0.00033036637,0.00049004256,0.0076254057],"study_design_scores_gemma":[0.0000012171558,0.0000029160067,0.9987669,0.000005673328,0.0000054126185,0.000017660695,0.0006931622,0.00008273365,0.000037739694,0.000013700215,0.0003697212,0.000003170634],"about_ca_topic_score_codex":0.9794519,"about_ca_topic_score_gemma":0.9930345,"teacher_disagreement_score":0.020548105,"about_ca_system_score_codex":0.008297792,"about_ca_system_score_gemma":0.008829973,"threshold_uncertainty_score":0.060204923},"labels":[],"label_agreement":null},{"id":"W4406070727","doi":"10.1016/j.ejrh.2024.102153","title":"Analyzing water uptake of apple trees using isotopic techniques in the Shandong Peninsula, China","year":2025,"lang":"en","type":"article","venue":"Journal of Hydrology Regional Studies","topic":"Plant Water Relations and Carbon Dynamics","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":false,"ca_institutions":"Global Institute for Water Security; University of Prince Edward Island","funders":"Chinese Academy of Sciences; National Natural Science Foundation of China","keywords":"China; Peninsula; Shandong peninsula; Geography; Forestry; Physical geography; Archaeology","score_opus":0.018641141217881522,"score_gpt":0.26985411417047633,"score_spread":0.2512129729525948,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406070727","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":[0.9994184,0.00003991297,0.00019135293,0.000007683137,8.481199e-7,0.0000023099603,0.00013998571,0.0000042635434,0.00019530556],"genre_scores_gemma":[0.9986337,0.00008928187,0.000447612,0.000014539837,0.0000013691041,0.000009095587,0.00043671211,0.0000042986485,0.0003632816],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99994016,0.0000051786405,0.0000030037772,0.000025920826,0.00001478043,0.0000110201445],"domain_scores_gemma":[0.99990726,0.000010921061,0.00002014488,0.0000056776935,0.00003681688,0.000019126559],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017052285,0.000265226,0.00018976934,0.0006008238,0.00035636846,0.00033177392,0.00023555229,0.0001577917,0.0002868847],"category_scores_gemma":[0.00010244404,0.0001568,0.00019754992,0.0008078996,0.00019606017,0.00024413387,0.00022342894,0.00015338912,0.00005041708],"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":[0.00016853875,0.000056271245,0.7790089,0.000096939395,0.000092862436,0.00026060757,0.0012832469,0.0011740699,0.19681384,0.00018086379,0.00020410583,0.020659713],"study_design_scores_gemma":[0.0000036149445,0.000028236263,0.99405414,0.00000248511,0.000018948525,0.00004697952,0.00026164643,0.0018115572,0.003405231,0.000042803946,0.00031651734,0.000007865845],"about_ca_topic_score_codex":0.04412035,"about_ca_topic_score_gemma":0.11039626,"teacher_disagreement_score":0.04412035,"about_ca_system_score_codex":0.00057877594,"about_ca_system_score_gemma":0.00057823723,"threshold_uncertainty_score":0.08772707},"labels":[],"label_agreement":null},{"id":"W4406070728","doi":"10.1016/j.ejrh.2024.102160","title":"Land cover change mitigated 20 % of the total increased evapotranspiration in tropical Lancang-Mekong River Basin during 2001–2019","year":2025,"lang":"en","type":"article","venue":"Journal of Hydrology Regional Studies","topic":"Plant Water Relations and Carbon Dynamics","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":"Natural Resources Canada","funders":"Natural Science Foundation of Fujian Province; National Natural Science Foundation of China","keywords":"Mekong river; Evapotranspiration; Structural basin; Geography; Land cover; Mekong delta; Environmental science; Water resource management; Climatology; Hydrology (agriculture); Land use; Geology; Ecology; Geomorphology; Biology","score_opus":0.01571635641542208,"score_gpt":0.2327707815143686,"score_spread":0.21705442509894654,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406070728","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":[0.9971487,0.00013622153,0.00029785428,0.00022789373,0.000010975136,0.000011552368,0.00082561566,0.00004351834,0.0012978326],"genre_scores_gemma":[0.999134,0.000046216774,0.00020101074,0.000018492501,0.0000019086092,0.0000062687877,0.00038834117,0.0000041844996,0.0001996143],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998878,0.000027251852,0.000010348806,0.000025995718,0.000016268588,0.000032319378],"domain_scores_gemma":[0.999882,0.000014725517,0.000022952954,0.000010647599,0.00004341555,0.000026213647],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003022922,0.00026686944,0.00017688119,0.0002299121,0.00039579583,0.0006276338,0.0003687905,0.00029260886,0.00084029906],"category_scores_gemma":[0.00048322845,0.00011347953,0.00037923196,0.00043834903,0.00022647451,0.00042728917,0.00035954773,0.00020727568,0.00006993256],"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":[0.00052602484,0.00017606975,0.74042696,0.0005021997,0.00051680143,0.0025984882,0.0010223197,0.18029888,0.017835483,0.002705858,0.004222439,0.049168516],"study_design_scores_gemma":[0.00008969698,0.00012245914,0.7410586,0.00007795574,0.00028238987,0.00024488478,0.0018505687,0.2420239,0.0048907506,0.0007005556,0.00859961,0.000058685866],"about_ca_topic_score_codex":0.20554538,"about_ca_topic_score_gemma":0.22692142,"teacher_disagreement_score":0.20554538,"about_ca_system_score_codex":0.0017409091,"about_ca_system_score_gemma":0.0016539885,"threshold_uncertainty_score":0.4086979},"labels":[],"label_agreement":null},{"id":"W4406409856","doi":"10.1016/j.ejrh.2025.102189","title":"Status of seawater intrusion in Mexico: A review","year":2025,"lang":"en","type":"review","venue":"Journal of Hydrology Regional Studies","topic":"Water Quality Monitoring Technologies","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"China Scholarship Council; Consejo Nacional de Ciencia y Tecnología; China Sponsorship Council","keywords":"Seawater intrusion; Seawater; Intrusion; Geography; Oceanography; Geology; Groundwater; Geochemistry","score_opus":0.11600284813323848,"score_gpt":0.3970468575701468,"score_spread":0.2810440094369083,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406409856","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00046685507,0.9982493,0.0000469801,0.0003639373,0.00009475563,0.0000050977574,0.00010539148,0.000005497217,0.0006622584],"genre_scores_gemma":[0.0019333389,0.99746966,0.00014137368,0.00013411004,0.00010030632,0.000006008796,0.00009459102,0.0000012113939,0.00011931169],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9996408,0.000060492534,0.00010700754,0.0000722026,0.00008750333,0.00003196186],"domain_scores_gemma":[0.9990771,0.00045999806,0.00024886345,0.000016413822,0.00015663054,0.000040950996],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007738596,0.00068016304,0.0012428026,0.004735872,0.00047915583,0.0018017115,0.00082566147,0.0008861329,0.003998111],"category_scores_gemma":[0.0017380797,0.0003570093,0.0009801904,0.00569565,0.00045789193,0.001750151,0.0008104078,0.0007987821,0.0003303155],"study_design_candidate":"not_applicable","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":[0.0001284928,0.00005867567,0.0035283784,0.15026276,0.00045132992,0.0008470446,0.0008430916,0.0003847545,0.0011183394,0.0031071545,0.032830194,0.8064398],"study_design_scores_gemma":[0.000012250758,0.0001299765,0.009716815,0.04246871,0.0011756202,0.0019585078,0.00076100935,0.00010983451,0.00041302977,0.00075552764,0.9424636,0.00003514535],"about_ca_topic_score_codex":0.008538136,"about_ca_topic_score_gemma":0.010497374,"teacher_disagreement_score":0.008538136,"about_ca_system_score_codex":0.0010887297,"about_ca_system_score_gemma":0.0042925486,"threshold_uncertainty_score":0.016976833},"labels":[],"label_agreement":null},{"id":"W4406713676","doi":"10.1016/j.ejrh.2025.102198","title":"Hydrologic model calibration approaches for highly regulated river basin: A comprehensive assessment","year":2025,"lang":"en","type":"article","venue":"Journal of Hydrology Regional Studies","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":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Calibration; Drainage basin; Hydrological modelling; Structural basin; Environmental science; Hydrology (agriculture); Water resource management; Geography; Remote sensing; Cartography; Geology; Climatology; Statistics; Mathematics; Geomorphology; Geotechnical engineering","score_opus":0.07420771002542481,"score_gpt":0.29960689850565214,"score_spread":0.22539918848022733,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406713676","genre_codex":"empirical","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9618459,0.0015461275,0.025733208,0.000733693,0.00001529571,0.00018941825,0.0009130282,0.00053918414,0.008484115],"genre_scores_gemma":[0.9901153,0.00049318955,0.008449131,0.000042885007,0.0000039483393,0.000026157566,0.0004492534,0.00003645985,0.00038386756],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99911433,0.0002668961,0.000041524618,0.00008955488,0.00039988832,0.00008781444],"domain_scores_gemma":[0.9979997,0.0006507092,0.00024170356,0.00019947592,0.0008150342,0.00009322556],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003039677,0.0005166883,0.00030142048,0.0006045526,0.00068980845,0.0011352607,0.0013282994,0.0004720969,0.0005192811],"category_scores_gemma":[0.0050626616,0.00021655417,0.00039538104,0.001228906,0.00055029866,0.0006605894,0.0004812734,0.00046220596,0.00005791869],"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":[0.00007944289,0.000130826,0.11740219,0.00018489108,0.00021203446,0.0002019908,0.00031983212,0.7984288,0.0023476847,0.0029378277,0.0014247721,0.07632974],"study_design_scores_gemma":[0.000029044904,0.00008134759,0.07381831,0.00008622143,0.00009177856,0.000037106936,0.00036574053,0.9174147,0.0026277388,0.00068950205,0.0047141346,0.000044408178],"about_ca_topic_score_codex":0.76366526,"about_ca_topic_score_gemma":0.81176364,"teacher_disagreement_score":0.76366526,"about_ca_system_score_codex":0.009018698,"about_ca_system_score_gemma":0.009908411,"threshold_uncertainty_score":0.47545308},"labels":[],"label_agreement":null},{"id":"W4407303051","doi":"10.1016/j.ejrh.2025.102223","title":"Assessment of bias correction methods for high resolution daily precipitation projections with CMIP6 models: A Canadian case study","year":2025,"lang":"en","type":"article","venue":"Journal of Hydrology Regional Studies","topic":"Climate variability and models","field":"Environmental Science","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada; Environment and Climate Change Canada","keywords":"Climatology; Precipitation; Environmental science; Econometrics; Geography; Meteorology; Mathematics; Geology","score_opus":0.11779670163184758,"score_gpt":0.4040377917311498,"score_spread":0.2862410900993022,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407303051","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":[0.9208369,0.0018985795,0.059621304,0.0012025724,0.00009878533,0.00041165305,0.0042823236,0.0011569012,0.010490898],"genre_scores_gemma":[0.93493086,0.00057154684,0.061036494,0.00008109127,0.00001645649,0.00009294225,0.0018966284,0.000118163654,0.0012558715],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99854577,0.00038422886,0.000069585374,0.0001495158,0.00063172827,0.0002191892],"domain_scores_gemma":[0.9954685,0.0012705754,0.0002565632,0.00025005647,0.0026295583,0.00012466064],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0051408084,0.0010481592,0.00044421945,0.00085779314,0.0013677927,0.0012793142,0.0014547097,0.0007322877,0.00067572884],"category_scores_gemma":[0.009547245,0.00036586652,0.0007966271,0.0019177601,0.00036401337,0.0005876348,0.0005998708,0.00060212397,0.00009533279],"study_design_candidate":"observational","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":[0.00025898218,0.000116003524,0.092639074,0.00024065572,0.00036948416,0.00029898432,0.00019581542,0.8121044,0.0024856054,0.0038504656,0.0034031544,0.084037304],"study_design_scores_gemma":[0.000090309506,0.000061036284,0.04391918,0.00004990519,0.00013369875,0.000065121545,0.00017184048,0.946628,0.003785322,0.00064040715,0.004391374,0.00006382826],"about_ca_topic_score_codex":0.94013494,"about_ca_topic_score_gemma":0.89204717,"teacher_disagreement_score":0.059865057,"about_ca_system_score_codex":0.010644111,"about_ca_system_score_gemma":0.016623387,"threshold_uncertainty_score":0.12043518},"labels":[],"label_agreement":null},{"id":"W4407424806","doi":"10.1016/j.ejrh.2025.102229","title":"Filling the Atlantic coastal tree-ring reconstruction gap: A 195-year record of growing season discharge of the Sainte-Anne River, Gaspésie, Québec, Canada","year":2025,"lang":"en","type":"article","venue":"Journal of Hydrology Regional Studies","topic":"Tree-ring climate responses","field":"Earth and Planetary Sciences","cited_by":4,"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 de Moncton; Concordia University","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada; National Oceanic and Atmospheric Administration","keywords":"Geography; Dendrochronology; Tree (set theory); Forestry; Archaeology","score_opus":0.020489922154560195,"score_gpt":0.23233442237593524,"score_spread":0.21184450022137505,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407424806","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":[0.99103045,0.00020641315,0.00037152844,0.00008100101,0.0000050746285,0.000019084753,0.006771533,0.00003244668,0.0014824462],"genre_scores_gemma":[0.9930849,0.00009969088,0.00074309023,0.000029323768,0.000003335965,0.000012019392,0.005164472,0.000009498723,0.00085364474],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999866,0.000012505696,0.0000074599266,0.00003726966,0.000035164863,0.000041532803],"domain_scores_gemma":[0.9992556,0.00006526284,0.00010491559,0.000048803962,0.0004064725,0.00011887428],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002848029,0.00018144405,0.00017490186,0.0009465087,0.00076050893,0.0007094537,0.00059276674,0.0002578451,0.0012397812],"category_scores_gemma":[0.0007180547,0.000104170605,0.0001653539,0.0018222608,0.000279113,0.00018532184,0.00032009894,0.00021659466,0.00021734498],"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":[0.00005207828,0.000028122273,0.97663385,0.000022972197,0.000072454015,0.00020908896,0.0006518405,0.0018750319,0.0017601004,0.00012532811,0.0025427616,0.016026273],"study_design_scores_gemma":[0.0000036716535,0.000005846808,0.99436766,0.0000149099715,0.00001146139,0.000039999984,0.00033194266,0.0023776789,0.00015939183,0.0000085072015,0.0026707328,0.000008246438],"about_ca_topic_score_codex":0.9761861,"about_ca_topic_score_gemma":0.9921434,"teacher_disagreement_score":0.023813903,"about_ca_system_score_codex":0.0053326935,"about_ca_system_score_gemma":0.004425467,"threshold_uncertainty_score":0.047908247},"labels":[],"label_agreement":null},{"id":"W4407972294","doi":"10.1016/j.ejrh.2025.102253","title":"Widespread pH increase and geochemical trends in fifty boreal lakes: Evidence, prediction and plausible attribution to climate and permafrost thaw impacts across northeastern Alberta","year":2025,"lang":"en","type":"article","venue":"Journal of Hydrology Regional Studies","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":4,"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 Victoria","funders":"Natural Sciences and Engineering Research Council of Canada; Innotech Alberta; Alberta Environment and Parks","keywords":"Permafrost; Boreal; Physical geography; Attribution; Environmental science; Taiga; Climate change; Geography; Climatology; Geology; Oceanography; Forestry; Archaeology; Psychology","score_opus":0.04940806461938218,"score_gpt":0.321866660087549,"score_spread":0.2724585954681668,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407972294","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":[0.9991449,0.00006484654,0.00005137504,0.000016207909,6.249292e-7,0.0000042475895,0.00028719287,0.000004632382,0.000425939],"genre_scores_gemma":[0.99927264,0.000055015393,0.00011970429,0.00000855198,0.000001105676,0.00000299423,0.00036007736,9.397686e-7,0.0001788685],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99979943,0.000023526178,0.000017712013,0.000039295595,0.00006213349,0.000057957437],"domain_scores_gemma":[0.9994553,0.00008485857,0.00014382575,0.000027618362,0.00018015773,0.000108356224],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038496457,0.00018004465,0.00016991518,0.0009933766,0.00075823383,0.00070627435,0.00041786252,0.00016720063,0.000505618],"category_scores_gemma":[0.0008322535,0.00013471604,0.0002099075,0.0014317333,0.0006208177,0.00022102155,0.00041609944,0.00014559424,0.000054537035],"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":[0.00006906373,0.0000106569605,0.99622655,0.000007229824,0.00002174387,0.00006330238,0.0002761901,0.00022486948,0.000571774,0.000031448923,0.000056817207,0.002440381],"study_design_scores_gemma":[0.0000012327839,0.000006905647,0.99931264,0.0000013244345,0.0000050377535,0.000020414249,0.00031444238,0.00019746197,0.00005317076,0.000008034308,0.00007795415,0.0000013666238],"about_ca_topic_score_codex":0.8316776,"about_ca_topic_score_gemma":0.9283212,"teacher_disagreement_score":0.16832238,"about_ca_system_score_codex":0.0042949077,"about_ca_system_score_gemma":0.0020579041,"threshold_uncertainty_score":0.33862728},"labels":[],"label_agreement":null},{"id":"W4408123069","doi":"10.1016/j.ejrh.2025.102285","title":"Unveiling global flood hotspots: Optimized machine learning techniques for enhanced flood susceptibility modeling","year":2025,"lang":"en","type":"article","venue":"Journal of Hydrology Regional Studies","topic":"Flood Risk Assessment and Management","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":"","keywords":"Flood myth; Computer science; Geography; Archaeology","score_opus":0.023241151992825063,"score_gpt":0.3216127105797812,"score_spread":0.29837155858695613,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408123069","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":[0.36213258,0.0007108398,0.6344862,0.00027078774,0.000036104448,0.00003619453,0.00016211643,0.00083580974,0.0013294073],"genre_scores_gemma":[0.95477706,0.00015071098,0.044165257,0.000035646182,0.0000125869055,0.000035055742,0.00017020511,0.000033710658,0.00061984855],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998142,0.00008235014,0.000013034307,0.00003805187,0.000028290831,0.000024144534],"domain_scores_gemma":[0.9995459,0.00028905773,0.000055349232,0.000026243648,0.00007076378,0.000012671032],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008757001,0.0006558042,0.0005988951,0.0006701914,0.00012467869,0.00045008727,0.0003913603,0.00049926253,0.00040938126],"category_scores_gemma":[0.0016042757,0.00024274104,0.00057962,0.00054684276,0.00018967528,0.0005113707,0.00039769465,0.00049457,0.000108508626],"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":[0.000028296863,0.000024775034,0.0023202042,0.000016523289,0.000031020758,0.000034694516,0.000024055145,0.9675817,0.00094264833,0.0003605336,0.00019511918,0.028440546],"study_design_scores_gemma":[0.0000010512216,0.000009950768,0.00025473445,0.0000012069004,0.0000022605698,0.0000029145208,0.000004234064,0.99934286,0.00016032397,0.0001763838,0.000042683452,0.0000013322922],"about_ca_topic_score_codex":0.0040129623,"about_ca_topic_score_gemma":0.0028403588,"teacher_disagreement_score":0.0040129623,"about_ca_system_score_codex":0.00020399415,"about_ca_system_score_gemma":0.00043441658,"threshold_uncertainty_score":0.007979214},"labels":[],"label_agreement":null},{"id":"W4408972442","doi":"10.1016/j.ejrh.2025.102343","title":"Daily reference evapotranspiration prediction in Iran: A machine learning approach with ERA5-land data","year":2025,"lang":"en","type":"article","venue":"Journal of Hydrology Regional Studies","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":9,"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 Alberta","funders":"Semnan University","keywords":"Evapotranspiration; Geography; Artificial intelligence; Cartography; Remote sensing; Computer science; Environmental science; Machine learning; Agricultural engineering; Engineering; Ecology; Biology","score_opus":0.05072865074114629,"score_gpt":0.2648223387264438,"score_spread":0.2140936879852975,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408972442","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":[0.98175025,0.00071485474,0.012114894,0.00026443676,0.00006784591,0.00003360968,0.0028589882,0.00072987843,0.0014653048],"genre_scores_gemma":[0.9844385,0.00020998786,0.010454736,0.000022060509,0.000023786446,0.000024513629,0.0045426874,0.000023150411,0.00026060987],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99979,0.000043904645,0.000021328777,0.00007305277,0.00004053331,0.00003119062],"domain_scores_gemma":[0.99959105,0.00012726935,0.000059951748,0.00005023527,0.00014961952,0.000021835644],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010641112,0.0007553966,0.00046173172,0.0009512324,0.00022694618,0.0005042386,0.0009217902,0.00045851912,0.00047168077],"category_scores_gemma":[0.0014685546,0.00026251475,0.0009118519,0.0012092538,0.00018749396,0.0006248823,0.00031770227,0.00063218083,0.00027349577],"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":[0.0003337716,0.00036618856,0.12767997,0.0001927733,0.0003532083,0.00029335273,0.00016070326,0.72406334,0.0029486201,0.00057818013,0.0046593966,0.13837048],"study_design_scores_gemma":[0.000025307361,0.00003603954,0.04080238,0.000012884138,0.000046912886,0.000023830316,0.00008137871,0.9563169,0.0012871937,0.00026583002,0.0010788112,0.000022523715],"about_ca_topic_score_codex":0.0422522,"about_ca_topic_score_gemma":0.02688657,"teacher_disagreement_score":0.0422522,"about_ca_system_score_codex":0.000707099,"about_ca_system_score_gemma":0.00076722185,"threshold_uncertainty_score":0.08401257},"labels":[],"label_agreement":null},{"id":"W4409260781","doi":"10.1016/j.ejrh.2025.102368","title":"Projected river water temperatures in Poland under climate change scenarios","year":2025,"lang":"en","type":"article","venue":"Journal of Hydrology Regional Studies","topic":"Hydrology and Watershed Management Studies","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":"United Nations University Institute for Water, Environment, and Health","funders":"Poznańskie Centrum Superkomputerowo-Sieciowe; National Natural Science Foundation of China","keywords":"Climate change; Geography; Climatology; Environmental science; Physical geography; Water resource management; Geology; Oceanography","score_opus":0.029485289945203802,"score_gpt":0.2830823663452515,"score_spread":0.2535970764000477,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409260781","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":[0.99742174,0.000060410483,0.0010541574,0.000033352357,0.000003734448,0.000005732516,0.0008213123,0.000025675286,0.00057398574],"genre_scores_gemma":[0.9981055,0.00007103925,0.0005623557,0.000006881431,0.0000012100974,0.000010808483,0.0010850533,0.000004094304,0.00015301545],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99984026,0.000036771118,0.0000149927455,0.000047289584,0.000025532137,0.000035181936],"domain_scores_gemma":[0.99990094,0.000015090154,0.00002651432,0.000013169374,0.000028913433,0.000015410911],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035815674,0.00032925064,0.00020454104,0.00037741315,0.00015429407,0.00063287147,0.0002580116,0.00035625516,0.0004112586],"category_scores_gemma":[0.00062219764,0.00021664711,0.0006840423,0.0006389533,0.00014130716,0.000559352,0.00047048228,0.0001874752,0.000083177525],"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":[0.0004161896,0.0000825256,0.48921815,0.00015400279,0.0006414905,0.0008805501,0.00039718582,0.4710461,0.006224745,0.0023687393,0.001672352,0.026897816],"study_design_scores_gemma":[0.00008631443,0.00014403,0.7030249,0.00005131553,0.00023912541,0.00027344163,0.00085876836,0.2848565,0.003725428,0.0016426037,0.005029071,0.00006841154],"about_ca_topic_score_codex":0.020433422,"about_ca_topic_score_gemma":0.02297736,"teacher_disagreement_score":0.020433422,"about_ca_system_score_codex":0.0007199023,"about_ca_system_score_gemma":0.0004972246,"threshold_uncertainty_score":0.04062897},"labels":[],"label_agreement":null},{"id":"W4409261101","doi":"10.1016/j.ejrh.2025.102373","title":"Regional stream temperature modeling in pristine Atlantic salmon rivers: A hybrid deterministic–Machine Learning approach","year":2025,"lang":"en","type":"article","venue":"Journal of Hydrology Regional Studies","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Institut National de la Recherche Scientifique; University of New Brunswick","funders":"Fondation Pour La Conservation Du Saumon Atlantique; Environment and Climate Change Canada; Mitacs","keywords":"Fishery; Geography; Environmental science; Ecology; Biology","score_opus":0.025202906954012096,"score_gpt":0.25491778135906595,"score_spread":0.22971487440505386,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409261101","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":[0.9163671,0.00018135174,0.08078838,0.00018958107,0.000014051094,0.000040995517,0.00031352762,0.00029911712,0.0018057885],"genre_scores_gemma":[0.9888199,0.000033996,0.010615273,0.000012807918,0.0000058676123,0.00002313343,0.00014025856,0.00001249036,0.00033628094],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99981827,0.00007019045,0.000013217972,0.00005663369,0.000019635252,0.000022005188],"domain_scores_gemma":[0.9995586,0.00022428956,0.00006661162,0.000034157685,0.0000943778,0.000021984728],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00068575895,0.00039289688,0.0004450065,0.00040484176,0.00031913817,0.00064048904,0.0007676245,0.00057286833,0.00039326953],"category_scores_gemma":[0.0013148523,0.0003775274,0.0007077206,0.0003561777,0.00027073224,0.0003567274,0.00042297656,0.0003362949,0.00005528236],"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":[0.000007982268,0.000009493545,0.0018544293,0.0000034144703,0.000012740758,0.0000073056863,0.0000050441527,0.99648905,0.00016848119,0.000104514125,0.000019617932,0.0013180029],"study_design_scores_gemma":[0.0000018668475,0.00000434814,0.00040680985,5.850055e-7,0.0000022287202,9.1793055e-7,0.0000028665875,0.99947184,0.000047865436,0.000040282182,0.000019034635,0.0000014176164],"about_ca_topic_score_codex":0.09518505,"about_ca_topic_score_gemma":0.07943938,"teacher_disagreement_score":0.09518505,"about_ca_system_score_codex":0.0012299189,"about_ca_system_score_gemma":0.0014818503,"threshold_uncertainty_score":0.18926203},"labels":[],"label_agreement":null},{"id":"W4409632341","doi":"10.1016/j.ejrh.2025.102379","title":"Insights into groundwater hydrochemistry and origin of the hydrocarbon contaminated karst aquifers, SW Iran","year":2025,"lang":"en","type":"article","venue":"Journal of Hydrology Regional Studies","topic":"Groundwater and Isotope Geochemistry","field":"Earth and Planetary Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Geological Survey of Canada","funders":"","keywords":"Karst; Aquifer; Groundwater; Geology; Contamination; Hydrology (agriculture); Geochemistry; Environmental science; Paleontology; Ecology; Geotechnical engineering","score_opus":0.018076147269658116,"score_gpt":0.24188018541470005,"score_spread":0.22380403814504193,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409632341","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":[0.99920887,0.00010236537,0.00011780283,0.000026808399,0.0000015976234,0.0000031253855,0.000090355905,0.0000055017254,0.00044357168],"genre_scores_gemma":[0.99932075,0.00013262882,0.00027789312,0.000013236339,0.000002000963,0.0000022379843,0.00009919807,0.0000011553548,0.00015093492],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9999397,0.000005240502,0.000004126755,0.000013221141,0.000020838868,0.00001684006],"domain_scores_gemma":[0.9999635,0.000003642512,0.000012858721,0.0000014966613,0.000014239946,0.000004240898],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000084307554,0.00020321895,0.00015502538,0.00089683506,0.0003268889,0.0002932663,0.0001486857,0.0001754079,0.00021717387],"category_scores_gemma":[0.000112659356,0.00012922048,0.00013182823,0.00070383196,0.00026877198,0.00017231243,0.00021576561,0.0001049301,0.00004126427],"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":[0.000105422325,0.00004722108,0.86987996,0.00011532215,0.00004934692,0.000785352,0.0016762392,0.0012199285,0.092358716,0.00028127528,0.0002736247,0.033207603],"study_design_scores_gemma":[0.000005081748,0.00003120569,0.99091524,0.000007158278,0.000019743256,0.00024300827,0.0018080383,0.0008831222,0.0048216465,0.00017077773,0.0010874359,0.0000075259672],"about_ca_topic_score_codex":0.022480037,"about_ca_topic_score_gemma":0.05469708,"teacher_disagreement_score":0.022480037,"about_ca_system_score_codex":0.00044621647,"about_ca_system_score_gemma":0.00057997036,"threshold_uncertainty_score":0.044698358},"labels":[],"label_agreement":null},{"id":"W4410353748","doi":"10.1016/j.ejrh.2025.102453","title":"Assessing hydroclimatic impacts of climate change in snowy catchments using a physically based hydrological model","year":2025,"lang":"en","type":"article","venue":"Journal of Hydrology Regional Studies","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":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Ministère des Ressources naturelles et des Forêts (Québec); Ministère des Ressources naturelles et des Forêts; École de Technologie Supérieure; Université du Québec à Montréal","funders":"Ministère de l'Énergie et des Ressources Naturelles; Ontario Ministry of Natural Resources and Forestry","keywords":"Climate change; Climatology; Environmental science; Climate model; Geography; Hydrology (agriculture); Geology; Oceanography","score_opus":0.07855682129259137,"score_gpt":0.36236023320172356,"score_spread":0.28380341190913216,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410353748","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":[0.9956085,0.00004522375,0.0016708903,0.00011002128,0.0000030495726,0.000056724857,0.0010630938,0.000076453376,0.001366121],"genre_scores_gemma":[0.9979097,0.00004077031,0.0012615764,0.00001710031,0.0000027426408,0.00002578851,0.0004099754,0.000007911732,0.00032439723],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998572,0.000044426986,0.000005270788,0.000027633632,0.000019784437,0.00004568093],"domain_scores_gemma":[0.99975044,0.000075643075,0.00003758873,0.000019847726,0.000057242327,0.000059338967],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034561858,0.00033251804,0.00029210714,0.00044073816,0.00065145694,0.0009750772,0.00080067886,0.00041920427,0.0011023707],"category_scores_gemma":[0.00078891666,0.0002115999,0.00037680345,0.0006046676,0.00046337018,0.0004103667,0.00042364502,0.00029231998,0.0000750865],"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":[0.00011515564,0.00017930717,0.13190965,0.000036022604,0.00011803982,0.00017270315,0.00016469897,0.8565799,0.0018674029,0.0008821415,0.0008251001,0.0071498016],"study_design_scores_gemma":[0.00004279183,0.00004786237,0.08372312,0.000008609227,0.000027869564,0.000014237164,0.00024398741,0.9148038,0.00022767844,0.00022859829,0.0006147716,0.000016644217],"about_ca_topic_score_codex":0.87625873,"about_ca_topic_score_gemma":0.8912414,"teacher_disagreement_score":0.87625873,"about_ca_system_score_codex":0.007855692,"about_ca_system_score_gemma":0.0057961484,"threshold_uncertainty_score":0.24893999},"labels":[],"label_agreement":null},{"id":"W4410423775","doi":"10.1016/j.ejrh.2025.102460","title":"Nature-based solutions for flood mitigation in Canadian urban centers: A review of the state of research and practice","year":2025,"lang":"en","type":"review","venue":"Journal of Hydrology Regional Studies","topic":"Urban Stormwater Management Solutions","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":true,"ca_institutions":"National Research Council Canada; École de Technologie Supérieure; Carleton University","funders":"City of Vancouver; Infrastructure Canada; National Research Council Canada; National Research Council","keywords":"Flood myth; State (computer science); Environmental planning; Geography; Regional science; Water resource management; Computer science; Environmental science; Archaeology","score_opus":0.10432465206960599,"score_gpt":0.4053558989862619,"score_spread":0.3010312469166559,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410423775","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00024531368,0.99751425,0.00007889721,0.0005253856,0.00007564567,0.000017442348,0.00004941897,0.0000036433405,0.0014899923],"genre_scores_gemma":[0.0022444942,0.99711835,0.00025393313,0.0001352361,0.000020680549,0.000010712426,0.000028139335,0.0000018164577,0.0001866219],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99854493,0.00020150008,0.0001838324,0.00014636338,0.0007607657,0.0001626878],"domain_scores_gemma":[0.99567574,0.0019232963,0.0003870692,0.00007295162,0.0017207776,0.00022009824],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0037314864,0.0010367582,0.0017330818,0.0075617814,0.0012429523,0.002842999,0.0018171119,0.0013032928,0.0032953557],"category_scores_gemma":[0.0055152597,0.0004814216,0.00117678,0.012136451,0.0014098663,0.0016671338,0.0011428006,0.0014062639,0.00039541474],"study_design_candidate":"not_applicable","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":[0.00006457673,0.000063771695,0.00070423255,0.11720721,0.00021335,0.0001240458,0.0007471995,0.0009339687,0.0006976775,0.009109401,0.020997826,0.8491367],"study_design_scores_gemma":[0.000019269577,0.00009322394,0.004872977,0.07647864,0.0005852429,0.00021977449,0.0009622268,0.00024246979,0.0005077746,0.0012232952,0.91474223,0.000052944542],"about_ca_topic_score_codex":0.5211461,"about_ca_topic_score_gemma":0.6998352,"teacher_disagreement_score":0.47885388,"about_ca_system_score_codex":0.014032045,"about_ca_system_score_gemma":0.051097695,"threshold_uncertainty_score":0.9633479},"labels":[],"label_agreement":null},{"id":"W4410615276","doi":"10.1016/j.ejrh.2025.102468","title":"Identification and mapping of multi-type flood hotspots using an ensemble technique in the transboundary of Kabul River Basin","year":2025,"lang":"en","type":"article","venue":"Journal of Hydrology Regional Studies","topic":"Flood Risk Assessment and Management","field":"Environmental Science","cited_by":9,"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":"National Key Research and Development Program of China; Science and Technology Development Fund; Canadian Anesthesiologists' Society","keywords":"Flood myth; Structural basin; Geography; Identification (biology); Drainage basin; Cartography; Water resource management; Geology; Environmental science; Geomorphology; Ecology; Archaeology; Biology","score_opus":0.04697063486928756,"score_gpt":0.3202875441525039,"score_spread":0.27331690928321634,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410615276","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":[0.9828415,0.00011651255,0.015744451,0.000073619136,0.000011954186,0.000014280352,0.00030368488,0.00011949268,0.00077446987],"genre_scores_gemma":[0.9956447,0.000062289204,0.0038630117,0.0000070866836,0.000004423076,0.000011256342,0.0002360243,0.000005840259,0.00016532495],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997687,0.0000699118,0.000015003142,0.000059356353,0.000036317633,0.000050684357],"domain_scores_gemma":[0.99970514,0.0001013024,0.000044350978,0.000035700963,0.00008229295,0.00003109418],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00049360405,0.00040431763,0.00036344974,0.0015927121,0.00033612442,0.0007053397,0.00035151368,0.00027989832,0.00042338218],"category_scores_gemma":[0.0009457055,0.00014620107,0.000595991,0.0009627999,0.00012423235,0.00059572206,0.00059946213,0.00026255002,0.00007988679],"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":[0.00035059283,0.0002089024,0.47679427,0.00015390207,0.00052119745,0.00086277915,0.0019180715,0.31183982,0.014926069,0.0011228084,0.0020249235,0.18927665],"study_design_scores_gemma":[0.00000867154,0.00005291767,0.18093863,0.00002938175,0.00012323608,0.00013899812,0.0016679321,0.8138507,0.0014178997,0.000821532,0.00090513175,0.000044981287],"about_ca_topic_score_codex":0.017091516,"about_ca_topic_score_gemma":0.020749193,"teacher_disagreement_score":0.017091516,"about_ca_system_score_codex":0.00025334494,"about_ca_system_score_gemma":0.0003425267,"threshold_uncertainty_score":0.033984065},"labels":[],"label_agreement":null},{"id":"W4410944602","doi":"10.1016/j.ejrh.2025.102488","title":"Inference of hydrological modelling and field-based monitoring on dynamics of heavy metals in water of Hindon Basin","year":2025,"lang":"en","type":"article","venue":"Journal of Hydrology Regional Studies","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":2,"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":"Nederlandse Organisatie voor Wetenschappelijk Onderzoek; Department of Science and Technology, Ministry of Science and Technology, India; Physicians' Services Incorporated Foundation","keywords":"Structural basin; Inference; Field (mathematics); Drainage basin; Environmental science; Heavy metals; Hydrology (agriculture); Geography; Geology; Cartography; Computer science; Geomorphology; Geotechnical engineering; Artificial intelligence; Environmental chemistry; Mathematics; Chemistry","score_opus":0.03730358941693044,"score_gpt":0.2904660665611761,"score_spread":0.2531624771442456,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410944602","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":[0.99839896,0.000020302723,0.0007404025,0.000047213667,0.0000029532923,0.000010160123,0.00023086256,0.000024067698,0.00052495115],"genre_scores_gemma":[0.9985061,0.000029591849,0.0009881834,0.000009695278,0.0000031705983,0.000011230395,0.000244032,0.0000024421356,0.00020542636],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998925,0.000032970333,0.0000060044476,0.00003234025,0.000010761424,0.000025530453],"domain_scores_gemma":[0.99977523,0.00007305427,0.000036583697,0.0000270357,0.000049788996,0.000038223727],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036756485,0.00023123885,0.0001770437,0.00047221276,0.00027438585,0.000529922,0.00038614418,0.00037278622,0.00064975425],"category_scores_gemma":[0.0005373844,0.00018319322,0.00028180267,0.0004807949,0.00024326533,0.00041008825,0.0003868159,0.00020538627,0.00009463734],"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":[0.00021428756,0.00031206978,0.8648809,0.000099145356,0.00011714364,0.00042056022,0.0006320812,0.08700822,0.009780001,0.0008086488,0.0010497129,0.034677267],"study_design_scores_gemma":[0.000034503155,0.00010633621,0.579477,0.000025303836,0.000059941864,0.0000532579,0.0009262841,0.41605386,0.0016471271,0.00048318141,0.0011054307,0.000027744009],"about_ca_topic_score_codex":0.06893874,"about_ca_topic_score_gemma":0.09284785,"teacher_disagreement_score":0.06893874,"about_ca_system_score_codex":0.00094074034,"about_ca_system_score_gemma":0.0012189704,"threshold_uncertainty_score":0.13707495},"labels":[],"label_agreement":null},{"id":"W4411541036","doi":"10.1016/j.ejrh.2025.102552","title":"Multi-model ensemble machine learning-based downscaling and projection of GRACE data reveals groundwater decline in Saudi Arabia throughout the 21st century","year":2025,"lang":"en","type":"article","venue":"Journal of Hydrology Regional Studies","topic":"Geophysics and Gravity Measurements","field":"Earth and Planetary Sciences","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":"United Nations University Institute for Water, Environment, and Health","funders":"National Science Foundation","keywords":"Downscaling; Projection (relational algebra); Groundwater; Climatology; Computer science; Artificial intelligence; Geography; Machine learning; Meteorology; Geology; Algorithm","score_opus":0.07852758945866826,"score_gpt":0.3189573243324841,"score_spread":0.2404297348738158,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411541036","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":[0.99140394,0.0002606201,0.0050305445,0.00025757318,0.000035221983,0.000010478597,0.0017639475,0.00025327248,0.0009844032],"genre_scores_gemma":[0.9949338,0.00009619511,0.0023676434,0.000023935083,0.000015224805,0.000008056974,0.0021782753,0.00001719059,0.00035967177],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999887,0.000020874904,0.000010150377,0.000032905857,0.000023397208,0.00002576871],"domain_scores_gemma":[0.9997408,0.000029081737,0.000040366212,0.000048129787,0.00012137376,0.000020328518],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004568162,0.00044885182,0.0002877561,0.0006222074,0.00021050156,0.00052584417,0.000406745,0.0003185339,0.00076292176],"category_scores_gemma":[0.0007999471,0.00013572176,0.00073670584,0.00067158305,0.00012256666,0.0004849064,0.0003976674,0.0004499931,0.00025283312],"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":[0.00038471248,0.00016544614,0.37653404,0.00013618726,0.0005932824,0.0004699605,0.0004253304,0.45829907,0.014314341,0.0011058577,0.008590536,0.13898124],"study_design_scores_gemma":[0.000021525857,0.000041272982,0.18368855,0.00002420681,0.00010565127,0.000081074344,0.0002829318,0.80833876,0.004014532,0.00041933515,0.0029424941,0.00003967201],"about_ca_topic_score_codex":0.05929423,"about_ca_topic_score_gemma":0.048489965,"teacher_disagreement_score":0.05929423,"about_ca_system_score_codex":0.0004273258,"about_ca_system_score_gemma":0.00057561457,"threshold_uncertainty_score":0.117898166},"labels":[],"label_agreement":null},{"id":"W4411629985","doi":"10.1016/j.ejrh.2025.102562","title":"Streamflow generation, hydroclimatic changes, and flood mechanisms in the Sheep River basin on the eastern slopes of the Canadian Rockies","year":2025,"lang":"en","type":"article","venue":"Journal of Hydrology Regional Studies","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":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Alberta Environment and Protected Areas; University of Calgary","funders":"Alberta Innovates","keywords":"Streamflow; Flood myth; Structural basin; Drainage basin; Climatology; Geography; Hydrology (agriculture); Geology; Physical geography; Geomorphology; Cartography; Archaeology","score_opus":0.02919036281978921,"score_gpt":0.2386466215522353,"score_spread":0.20945625873244608,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411629985","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":[0.9980129,0.00011841526,0.00008407355,0.00005109708,0.0000012301912,0.000008017594,0.0010392634,0.000008076232,0.0006769389],"genre_scores_gemma":[0.9985197,0.00007941896,0.00017574673,0.000019597674,0.0000015931647,0.000008963334,0.00077954645,0.0000032492812,0.00041231813],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99975044,0.000024522982,0.000011130552,0.00006656902,0.000060297916,0.00008703028],"domain_scores_gemma":[0.99960667,0.00003933466,0.00006914984,0.00002531415,0.00016314401,0.00009649568],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00043896647,0.00023288614,0.00024987923,0.0008106344,0.0013634663,0.0007756966,0.00071274105,0.00020431181,0.0008607276],"category_scores_gemma":[0.0006907567,0.0001530655,0.00034726964,0.0012868396,0.00075411523,0.0002206863,0.00053904066,0.00024135702,0.000072099065],"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":[0.00006681798,0.00002673067,0.98276895,0.000041816857,0.00015812957,0.00014846414,0.0014634299,0.0022266924,0.0021023285,0.00052347546,0.0010915932,0.009381693],"study_design_scores_gemma":[0.0000023429686,0.000004646787,0.9976744,0.000006021067,0.000016003089,0.000017673407,0.0004906984,0.0010334037,0.00007355988,0.000028369519,0.000645554,0.000007272261],"about_ca_topic_score_codex":0.98567826,"about_ca_topic_score_gemma":0.99509865,"teacher_disagreement_score":0.014321744,"about_ca_system_score_codex":0.009051731,"about_ca_system_score_gemma":0.011358459,"threshold_uncertainty_score":0.0656752},"labels":[],"label_agreement":null},{"id":"W4411771187","doi":"10.1016/j.ejrh.2025.102567","title":"Simulation of extreme flood events for risk assessment for flood control of a reservoir-lake-river system under spatially dependent uncertainties","year":2025,"lang":"en","type":"article","venue":"Journal of Hydrology Regional Studies","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":false,"ca_institutions":"Stantec (Canada)","funders":"National Natural Science Foundation of China","keywords":"Flood myth; Flood control; Environmental science; Hydrology (agriculture); Water resource management; Geography; Geology; Geotechnical engineering; Archaeology","score_opus":0.03499174384443804,"score_gpt":0.31667594741297084,"score_spread":0.2816842035685328,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411771187","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":[0.96719074,0.000062398765,0.029851634,0.00014159532,0.000011160001,0.000040681483,0.00027057886,0.00007916181,0.0023519727],"genre_scores_gemma":[0.99819916,0.00001837173,0.0013884702,0.000004133172,0.0000016344059,0.000021783746,0.000062529594,0.0000032040084,0.0003006775],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998122,0.000089480454,0.000009254816,0.000027797898,0.000022730477,0.000038461803],"domain_scores_gemma":[0.99934655,0.00039544972,0.00009197791,0.000028192833,0.000085673026,0.00005221109],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006122146,0.0005160337,0.00042217557,0.0004621908,0.00038455083,0.00049087935,0.0005557678,0.00064559083,0.0011671085],"category_scores_gemma":[0.0013782083,0.0002472845,0.00052046217,0.0004099485,0.00039022794,0.0004750347,0.00056810596,0.0004645884,0.000049492355],"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":[0.00001036668,0.000008102805,0.0014737096,0.00000425326,0.0000072705843,0.00003191147,0.000008580219,0.99759185,0.00010482305,0.00030534918,0.000034983645,0.00041886957],"study_design_scores_gemma":[0.0000024971728,0.000007981403,0.00037616433,7.266744e-7,0.000002296788,0.0000024996223,0.000009995352,0.99938726,0.0000692691,0.0001230691,0.000016756057,0.0000013724913],"about_ca_topic_score_codex":0.02278069,"about_ca_topic_score_gemma":0.014279276,"teacher_disagreement_score":0.02278069,"about_ca_system_score_codex":0.00077024987,"about_ca_system_score_gemma":0.0007870653,"threshold_uncertainty_score":0.045296192},"labels":[],"label_agreement":null},{"id":"W4412024250","doi":"10.1016/j.ejrh.2025.102582","title":"Conical ground subsidence morphodynamics in the Yellow River Delta, China: Insights from InSAR analysis","year":2025,"lang":"en","type":"article","venue":"Journal of Hydrology Regional Studies","topic":"Synthetic Aperture Radar (SAR) Applications and Techniques","field":"Engineering","cited_by":3,"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":"Science and Technology Innovation Plan Of Shanghai Science and Technology Commission; National Key Research and Development Program of China; Ministry of Natural Resources","keywords":"Beach morphodynamics; Geology; Delta; Interferometric synthetic aperture radar; Subsidence; Ground subsidence; China; River delta; Geomorphology; Geodesy; Geography; Remote sensing; Synthetic aperture radar; Geotechnical engineering; Archaeology","score_opus":0.013874451947088052,"score_gpt":0.2682187331297975,"score_spread":0.25434428118270946,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412024250","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":[0.99876463,0.000032198153,0.0007459872,0.000018228724,0.0000013309525,0.0000031297811,0.00012592785,0.000013537706,0.00029507923],"genre_scores_gemma":[0.9994438,0.000042571613,0.0002340664,0.00000340362,0.0000011463017,0.0000016289822,0.0001278853,0.0000020384857,0.00014336372],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9999465,0.000008115913,0.000004906774,0.000015940383,0.000009441473,0.000015138943],"domain_scores_gemma":[0.99991274,0.000015692345,0.000023172151,0.000015268575,0.000021357815,0.000011886553],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001730872,0.00020121146,0.00014566812,0.0007418137,0.00017321647,0.0003438937,0.00013482901,0.00013686685,0.000373498],"category_scores_gemma":[0.00027118798,0.00011893986,0.00018034947,0.0008035991,0.00021891479,0.00022640609,0.00020593044,0.000080811675,0.000057393667],"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":[0.000103277496,0.00007148012,0.8992404,0.000049304097,0.00007769861,0.00071231066,0.000524694,0.036813192,0.014003641,0.00063179823,0.00046399367,0.047308244],"study_design_scores_gemma":[0.0000048739494,0.000021899887,0.9310343,0.0000064207666,0.00002717035,0.000060665992,0.00038494376,0.067185074,0.0006452881,0.0001903375,0.00042940158,0.00000958102],"about_ca_topic_score_codex":0.022879422,"about_ca_topic_score_gemma":0.03827751,"teacher_disagreement_score":0.022879422,"about_ca_system_score_codex":0.00029934454,"about_ca_system_score_gemma":0.00036540953,"threshold_uncertainty_score":0.04549247},"labels":[],"label_agreement":null},{"id":"W4412100969","doi":"10.1016/j.ejrh.2025.102592","title":"Impact of urban drainage system malfunctions on pluvial flooding – Peri-urban study site in Austria","year":2025,"lang":"en","type":"article","venue":"Journal of Hydrology Regional Studies","topic":"Flood Risk Assessment and Management","field":"Environmental Science","cited_by":2,"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":"Klima- und Energiefonds; Bundesministerium für Land- und Forstwirtschaft, Umwelt und Wasserwirtschaft; Computational Hydraulics International","keywords":"Pluvial; Flooding (psychology); Peri; Drainage; Drainage system (geomorphology); Water resource management; Geography; Urban planning; Environmental science; Hydrology (agriculture); Civil engineering; Geology; Engineering; Geotechnical engineering; Medicine","score_opus":0.02447171804847361,"score_gpt":0.3199991618536933,"score_spread":0.2955274438052197,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412100969","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":[0.9991443,0.0000154343,0.00032530876,0.000009182291,8.4876433e-7,0.000013126582,0.000115020084,0.000011491028,0.0003653034],"genre_scores_gemma":[0.99948573,0.00002059457,0.00023438025,0.000003131378,7.5245146e-7,0.000012429257,0.00010298111,0.0000026058583,0.00013743817],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996588,0.0001255855,0.00001739467,0.00007119942,0.000052006028,0.00007506873],"domain_scores_gemma":[0.999705,0.00009801125,0.00007720789,0.000037893024,0.000035651283,0.000046175937],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038095348,0.00027678366,0.0002980667,0.00048212006,0.0003082155,0.00061140006,0.00040003101,0.00058266614,0.0011495453],"category_scores_gemma":[0.0007219896,0.00022147635,0.0003919071,0.0004740032,0.0005671681,0.00048759257,0.00080377987,0.00023554779,0.00017242122],"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":[0.0010576759,0.0014227373,0.7256657,0.00024153329,0.00029175487,0.0045603877,0.0020354753,0.21309854,0.011486829,0.0018396319,0.0015854908,0.03671421],"study_design_scores_gemma":[0.00016177184,0.0013682884,0.824998,0.000060642287,0.00015137783,0.0010306265,0.0057001365,0.15776457,0.004794751,0.0010899879,0.0027836352,0.00009619206],"about_ca_topic_score_codex":0.010148377,"about_ca_topic_score_gemma":0.01777119,"teacher_disagreement_score":0.010148377,"about_ca_system_score_codex":0.0010259178,"about_ca_system_score_gemma":0.00053843576,"threshold_uncertainty_score":0.020178616},"labels":[],"label_agreement":null},{"id":"W4412439612","doi":"10.1016/j.ejrh.2025.102587","title":"Seasonal drought classification and its characteristics in the red soil region of southern China","year":2025,"lang":"en","type":"article","venue":"Journal of Hydrology Regional Studies","topic":"Hydrology and Drought Analysis","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":false,"ca_institutions":"University of Guelph","funders":"Chinese Academy of Sciences; National Natural Science Foundation of China","keywords":"China; Geography; Southern china; Red soil; Climatology; Physical geography; Environmental science; Geology; Soil water; Soil science; Archaeology","score_opus":0.025808916513894904,"score_gpt":0.2707850035985538,"score_spread":0.24497608708465887,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412439612","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":[0.99926585,0.00006561874,0.0001280861,0.000015384783,0.0000016872347,0.0000031205036,0.00030334247,0.0000060276357,0.00021089251],"genre_scores_gemma":[0.9992518,0.000037938957,0.00012740219,0.00000434446,0.0000025070083,0.000003741,0.0004603798,0.0000010062527,0.00011094978],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998373,0.000023530527,0.000025069814,0.00004646022,0.000028838042,0.00003883541],"domain_scores_gemma":[0.9996555,0.000035807414,0.00013068561,0.000024058125,0.00008776796,0.00006614007],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045248235,0.00017172654,0.00018594258,0.0014316392,0.00025029818,0.00033758642,0.00016856338,0.0001228763,0.0003643847],"category_scores_gemma":[0.00043587107,0.00008255083,0.00023105506,0.0018987708,0.00018200875,0.00019524399,0.0002495357,0.000077422694,0.000052456366],"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":[0.00004197817,0.00000968219,0.9870148,0.000033849155,0.000043803102,0.00012393852,0.00044054797,0.0010764423,0.0023731096,0.00010580521,0.00023797069,0.008498056],"study_design_scores_gemma":[0.0000013009695,0.000008967867,0.9981495,0.0000029019818,0.000009575925,0.000030284513,0.00017768618,0.0012565117,0.00008250355,0.00002497499,0.0002523049,0.0000035691144],"about_ca_topic_score_codex":0.025233727,"about_ca_topic_score_gemma":0.033989694,"teacher_disagreement_score":0.025233727,"about_ca_system_score_codex":0.00043121737,"about_ca_system_score_gemma":0.00040059048,"threshold_uncertainty_score":0.0501737},"labels":[],"label_agreement":null},{"id":"W4412439727","doi":"10.1016/j.ejrh.2025.102604","title":"Time-scale effects on runoff simulation and parameters sensitivity using SWAT model","year":2025,"lang":"en","type":"article","venue":"Journal of Hydrology Regional Studies","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Nipissing University","funders":"National Natural Science Foundation of China","keywords":"SWAT model; Surface runoff; Sensitivity (control systems); Scale (ratio); Environmental science; Geography; Computer science; Cartography; Engineering; Ecology; Biology","score_opus":0.027897879189747,"score_gpt":0.2917822397466647,"score_spread":0.26388436055691766,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412439727","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":[0.9916637,0.0000621743,0.006342438,0.000081643615,0.000024255543,0.000022513103,0.00034051313,0.00020284452,0.0012599438],"genre_scores_gemma":[0.9973544,0.000052531566,0.0019282281,0.00001585305,0.0000046683463,0.000021176491,0.00034809503,0.000026546304,0.000248518],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99970275,0.000074555974,0.000028248964,0.00008132347,0.0000633337,0.00004977271],"domain_scores_gemma":[0.9993254,0.00029214102,0.00006608337,0.000087157205,0.0001736142,0.00005562305],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006705016,0.0005178378,0.00035818625,0.0004671748,0.00037677021,0.00067389954,0.0006118072,0.0005743527,0.0010093114],"category_scores_gemma":[0.0018448329,0.00027128417,0.0008147349,0.0007418134,0.00031432975,0.0008899392,0.00054334797,0.0005949736,0.00009423158],"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":[0.00015771495,0.00018166112,0.03772508,0.000056356872,0.00009370431,0.0002558707,0.000087009306,0.9408346,0.008715926,0.0009060657,0.0007876788,0.010198363],"study_design_scores_gemma":[0.000021469932,0.000034481454,0.007136947,0.0000024174296,0.00002941316,0.000012502846,0.000026788677,0.98940444,0.0029198106,0.00015560942,0.00024157083,0.000014519013],"about_ca_topic_score_codex":0.027940318,"about_ca_topic_score_gemma":0.016699245,"teacher_disagreement_score":0.027940318,"about_ca_system_score_codex":0.0006888056,"about_ca_system_score_gemma":0.0009147989,"threshold_uncertainty_score":0.055555403},"labels":[],"label_agreement":null},{"id":"W4412845036","doi":"10.1016/j.ejrh.2026.103430","title":"A Conceptual Model of Fracture Flow in the Milk River Aquifer Under Transverse Hydraulic Gradients","year":2025,"lang":"en","type":"preprint","venue":"Journal of Hydrology Regional Studies","topic":"Hydraulic Fracturing and Reservoir Analysis","field":"Engineering","cited_by":0,"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 Calgary","funders":"Alberta Innovates; National Science Foundation","keywords":"Aquifer; Transverse plane; Flow (mathematics); Geology; Geotechnical engineering; Conceptual model; Hydrology (agriculture); Fracture (geology); Petroleum engineering; Environmental science; Mechanics; Groundwater; Engineering; Physics; Computer science; Structural engineering","score_opus":0.04018335568822753,"score_gpt":0.27655494310106077,"score_spread":0.23637158741283323,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412845036","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":[0.33275154,0.0008446465,0.6109667,0.003344918,0.00012939553,0.00017523735,0.0017691216,0.00081130926,0.049207177],"genre_scores_gemma":[0.95630085,0.00081963016,0.026584158,0.0001204973,0.000041284893,0.00024684484,0.0003400538,0.00005982482,0.015486931],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998752,0.00002614476,0.0000060589955,0.000044641754,0.000023275952,0.000024660621],"domain_scores_gemma":[0.99985564,0.000035464775,0.000028077857,0.0000076417155,0.0000452902,0.000027785114],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002863857,0.00045702176,0.00038676203,0.000736591,0.0007653667,0.0015122059,0.0022128187,0.0011810642,0.004247464],"category_scores_gemma":[0.0005907386,0.0003765013,0.00057451177,0.0009579832,0.0012900837,0.0017231618,0.00078794407,0.000490594,0.0003801198],"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":[0.000036461475,0.00002701995,0.002276757,0.00003355108,0.0000131907955,0.00013345655,0.00015007671,0.9140158,0.0018897648,0.075022474,0.0007656748,0.005635724],"study_design_scores_gemma":[0.000016081696,0.000024420093,0.0007236008,0.000008405703,0.000010495322,0.000031177828,0.000075803204,0.9849375,0.000101580044,0.012818984,0.0012391646,0.00001286992],"about_ca_topic_score_codex":0.06261802,"about_ca_topic_score_gemma":0.03251794,"teacher_disagreement_score":0.06261802,"about_ca_system_score_codex":0.002186883,"about_ca_system_score_gemma":0.002516597,"threshold_uncertainty_score":0.12450707},"labels":[],"label_agreement":null},{"id":"W4413183257","doi":"10.1016/j.ejrh.2025.102637","title":"A multi-model study of the subsurface and surface hydrodynamics of a 700 km2 watershed in western Canada (Fox Creek area, Alberta)","year":2025,"lang":"en","type":"article","venue":"Journal of Hydrology Regional Studies","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":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Institut National de la Recherche Scientifique; Geological Survey of Canada; Natural Resources Canada","funders":"Natural Resources Canada","keywords":"Watershed; Hydrology (agriculture); Geography; Archaeology; Geology; Physical geography; Geotechnical engineering","score_opus":0.021014577725038598,"score_gpt":0.2526284717163871,"score_spread":0.2316138939913485,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413183257","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":[0.99695754,0.00003083412,0.00045298092,0.00009163605,0.0000032814814,0.000020245263,0.0005299577,0.00004800848,0.0018654458],"genre_scores_gemma":[0.99778265,0.000040346516,0.00078873034,0.000017272068,0.0000018494676,0.000013083178,0.00042747497,0.000008610003,0.00091990794],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998733,0.000014156703,0.000004628514,0.00003278356,0.000022550877,0.000052551903],"domain_scores_gemma":[0.99983835,0.000037114976,0.00001499921,0.000010321436,0.000052309766,0.00004689509],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021955215,0.0004433577,0.00034691577,0.00056807185,0.0013738,0.001210916,0.001187617,0.0007971985,0.0014324561],"category_scores_gemma":[0.00045044482,0.00026003443,0.00038411023,0.0010183025,0.0007835948,0.00035126443,0.0003940805,0.0005272492,0.00011770912],"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":[0.0002543721,0.00037013166,0.12917964,0.00005873205,0.00008077429,0.00070289813,0.00044656152,0.84982467,0.0037853043,0.0025888714,0.002490389,0.010217676],"study_design_scores_gemma":[0.000049620154,0.000050346647,0.08565816,0.000011691905,0.000036463425,0.000034441688,0.0008807646,0.91156286,0.00051295257,0.00028604548,0.0008791828,0.000037384707],"about_ca_topic_score_codex":0.9631106,"about_ca_topic_score_gemma":0.9618918,"teacher_disagreement_score":0.036889374,"about_ca_system_score_codex":0.015525314,"about_ca_system_score_gemma":0.00944988,"threshold_uncertainty_score":0.11264455},"labels":[],"label_agreement":null},{"id":"W4413325033","doi":"10.1016/j.ejrh.2025.102713","title":"Sensitivity analysis and calibration of a semi-distributed HBV model in the data-limited and regulated Nile River Basin","year":2025,"lang":"en","type":"article","venue":"Journal of Hydrology Regional Studies","topic":"Flood Risk Assessment and Management","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"United Nations University Institute for Water, Environment, and Health; McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Sensitivity (control systems); Calibration; Drainage basin; Geography; Structural basin; Environmental science; Remote sensing; Hydrology (agriculture); Geology; Statistics; Cartography; Mathematics; Geomorphology; Engineering","score_opus":0.028430471794770776,"score_gpt":0.28907010730236904,"score_spread":0.2606396355075983,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413325033","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":[0.9820294,0.0001016108,0.01590948,0.00012977392,0.000011435511,0.00004544303,0.0002562398,0.00009415637,0.0014224343],"genre_scores_gemma":[0.99806315,0.000022403377,0.0016172723,0.000014676165,0.0000012733514,0.000018214287,0.00012698275,0.0000074536442,0.00012865577],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991027,0.0005203163,0.0000438089,0.00015593316,0.0000818946,0.00009531839],"domain_scores_gemma":[0.9963684,0.002681052,0.00022933116,0.00025875092,0.00038583684,0.000076698896],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028741457,0.0006623025,0.00056857534,0.000570531,0.00038022132,0.0008974476,0.0008954322,0.0010617423,0.0007433068],"category_scores_gemma":[0.006758843,0.00044859754,0.0010050734,0.00043272038,0.0006211447,0.0007898814,0.0010302254,0.00096561835,0.00006571865],"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":[0.000038695285,0.000028273327,0.005748012,0.000019117157,0.000040963747,0.000059468133,0.000025929183,0.9917612,0.0006346671,0.00036110118,0.00006220551,0.0012203511],"study_design_scores_gemma":[0.000016219798,0.00004679004,0.0029326822,0.000006914938,0.000019416277,0.000015016262,0.000051184947,0.9956055,0.0008134854,0.00035878675,0.00012132235,0.000012604265],"about_ca_topic_score_codex":0.026054429,"about_ca_topic_score_gemma":0.008716414,"teacher_disagreement_score":0.026054429,"about_ca_system_score_codex":0.0011283482,"about_ca_system_score_gemma":0.0007283117,"threshold_uncertainty_score":0.051805556},"labels":[],"label_agreement":null},{"id":"W4414003485","doi":"10.1016/j.ejrh.2025.102724","title":"Moroccan water resources under pressure: Challenges of groundwater quality and nitrate contamination","year":2025,"lang":"en","type":"article","venue":"Journal of Hydrology Regional Studies","topic":"Groundwater and Isotope Geochemistry","field":"Earth and Planetary Sciences","cited_by":6,"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 de Sherbrooke; Université du Québec à Montréal","funders":"Fondation OCP","keywords":"Contamination; Groundwater; Nitrate; Environmental science; Water quality; Water resource management; Groundwater contamination; Environmental protection; Environmental engineering; Geography; Aquifer; Geology; Biology; Ecology; Geotechnical engineering","score_opus":0.048804554714909555,"score_gpt":0.285300365568054,"score_spread":0.23649581085314444,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414003485","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":[0.97057086,0.008628043,0.00076843763,0.0033648587,0.0000917788,0.00015044854,0.0018219074,0.000025263229,0.014578499],"genre_scores_gemma":[0.99415576,0.002748202,0.00080518966,0.00034567586,0.000052286894,0.00007216176,0.00038842112,0.0000035377107,0.0014287145],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99976236,0.000068170506,0.000014696876,0.000031205047,0.00003827025,0.00008539161],"domain_scores_gemma":[0.9997991,0.00003867264,0.00006505946,0.000008373225,0.000063903455,0.000024965431],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002858865,0.00035756276,0.00023040653,0.00070355897,0.0010940348,0.0007834126,0.00026218357,0.0002907465,0.0024194345],"category_scores_gemma":[0.0004707829,0.00008723914,0.00015796271,0.00090538524,0.0004341154,0.0003450793,0.0007831939,0.00020514769,0.00017135197],"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":[0.00045607644,0.00026564876,0.6664474,0.0036364254,0.00029595045,0.020298066,0.018627094,0.0022018258,0.016714023,0.012581517,0.019985437,0.23849055],"study_design_scores_gemma":[0.00003109458,0.00026262226,0.8531458,0.00082314055,0.0001576627,0.0053348434,0.043551773,0.001280636,0.0027783976,0.0024653627,0.09011418,0.000054536467],"about_ca_topic_score_codex":0.046363603,"about_ca_topic_score_gemma":0.069239885,"teacher_disagreement_score":0.046363603,"about_ca_system_score_codex":0.0019155017,"about_ca_system_score_gemma":0.0023551434,"threshold_uncertainty_score":0.092187464},"labels":[],"label_agreement":null},{"id":"W4414903692","doi":"10.1016/j.ejrh.2025.102786","title":"Evaluation of differences between gridded precipitation products in the Southern Prairies of Manitoba","year":2025,"lang":"en","type":"article","venue":"Journal of Hydrology Regional Studies","topic":"Precipitation Measurement and Analysis","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Government of Manitoba; Manitoba Hydro; University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada; Government of Manitoba","keywords":"Precipitation; Mean squared error; Rain gauge; Systematic error; Approximation error; Climate change; Snow","score_opus":0.13607823179071563,"score_gpt":0.3128497151792877,"score_spread":0.1767714833885721,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414903692","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":[0.9908975,0.00021901944,0.0006716077,0.00015009133,0.00001419394,0.000049948572,0.0053905426,0.00011169574,0.0024954586],"genre_scores_gemma":[0.987339,0.00021142802,0.0033059441,0.00005681707,0.0000042982174,0.000039796832,0.0077226865,0.00003569393,0.0012843685],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999225,0.000111556765,0.000053793312,0.00014746447,0.00034679426,0.00011539229],"domain_scores_gemma":[0.9973991,0.00032358064,0.00021407905,0.0001462123,0.0017492789,0.00016775732],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018472553,0.00050130446,0.00030102363,0.0012377705,0.0008319657,0.0017143674,0.000993519,0.00025708586,0.0008182984],"category_scores_gemma":[0.0048610237,0.000266756,0.0003201963,0.0040801237,0.0004418584,0.0004138604,0.0005902267,0.00027253554,0.0002142721],"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":[0.0002325059,0.000083082836,0.95266134,0.000098566525,0.00026505848,0.00025113116,0.0012385276,0.013043228,0.002866902,0.0005210814,0.0019139675,0.026824629],"study_design_scores_gemma":[0.00003116275,0.000039457213,0.9723555,0.00005158504,0.00005938545,0.00005053541,0.002013022,0.020455819,0.0010392512,0.00006500823,0.0038134474,0.000025788057],"about_ca_topic_score_codex":0.962013,"about_ca_topic_score_gemma":0.9778951,"teacher_disagreement_score":0.037986994,"about_ca_system_score_codex":0.008887007,"about_ca_system_score_gemma":0.010862482,"threshold_uncertainty_score":0.07642138},"labels":[],"label_agreement":null},{"id":"W4415754007","doi":"10.1016/j.ejrh.2025.102887","title":"Assessing and forecasting water security in transboundary river basins via inter- and intra- subsystem dynamics","year":2025,"lang":"en","type":"article","venue":"Journal of Hydrology Regional Studies","topic":"Water Resources and Sustainability","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Ministry of Education of the People's Republic of China; National Natural Science Foundation of China","keywords":"Drainage basin; Vulnerability (computing); Water security; Mekong river; Watershed; Sustainability; Riparian zone; Hydrology (agriculture)","score_opus":0.018720581389657712,"score_gpt":0.26574728979161244,"score_spread":0.24702670840195473,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415754007","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":[0.9112163,0.00025011424,0.08463194,0.00044725114,0.000025158464,0.000036006917,0.0003355703,0.00009198495,0.0029656983],"genre_scores_gemma":[0.9960944,0.000056930072,0.0034249804,0.000009352063,0.0000020619993,0.000008210695,0.000089671346,0.000005025774,0.00030937573],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99985325,0.000046512832,0.000008928393,0.00004358514,0.000025453164,0.000022199649],"domain_scores_gemma":[0.99975675,0.000061516424,0.00006865127,0.000019477182,0.0000662539,0.000027358632],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004560935,0.00041082822,0.00018719048,0.00064830465,0.00026198465,0.0007671794,0.00038662122,0.00041608795,0.0005116255],"category_scores_gemma":[0.0011323768,0.00017874737,0.00039258276,0.00062314357,0.00038412726,0.0015340764,0.00082925137,0.0003339817,0.00004268063],"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":[0.00003659459,0.000030518477,0.10552307,0.000051459207,0.0001448033,0.0001822909,0.00020841276,0.85803854,0.004280698,0.009169703,0.00041022632,0.021923706],"study_design_scores_gemma":[0.00000152983,0.000017242955,0.011965507,0.0000054365505,0.000014201208,0.000018420365,0.00012057933,0.9838885,0.0004295108,0.003045519,0.00048607052,0.000007448643],"about_ca_topic_score_codex":0.031111248,"about_ca_topic_score_gemma":0.032068092,"teacher_disagreement_score":0.031111248,"about_ca_system_score_codex":0.0012672921,"about_ca_system_score_gemma":0.0008111495,"threshold_uncertainty_score":0.061860323},"labels":[],"label_agreement":null},{"id":"W4416396443","doi":"10.1016/j.ejrh.2025.102924","title":"Parsimonious analytical modelling of rainwater harvesting systems’ performance under climate change in six Chinese cities","year":2025,"lang":"en","type":"article","venue":"Journal of Hydrology Regional Studies","topic":"Urban Stormwater Management Solutions","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":"McMaster University","funders":"Natural Science Foundation of Shandong Province; National Natural Science Foundation of China; Shandong University","keywords":"Rainwater harvesting; Climate change; Flooding (psychology); Flood myth; Arid; Probabilistic logic; Climate model; Surface runoff; Flood control","score_opus":0.08579855500697246,"score_gpt":0.2981214373942366,"score_spread":0.2123228823872641,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416396443","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":[0.97925067,0.00006358034,0.018187594,0.00010531946,0.000009184966,0.000038522034,0.00037052092,0.00011662739,0.001857947],"genre_scores_gemma":[0.9981439,0.000029866194,0.001252757,0.0000050247936,0.0000019813879,0.000016064776,0.00011239537,0.0000064599044,0.00043150765],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99978834,0.00004757014,0.000012852055,0.00006243794,0.000026310014,0.0000624856],"domain_scores_gemma":[0.99959916,0.0001691812,0.0000717717,0.00004320092,0.00008409892,0.000032656444],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00071850105,0.00066894677,0.00037368553,0.00065175566,0.00045528184,0.00087307807,0.0011288492,0.0007588895,0.0010145907],"category_scores_gemma":[0.001071596,0.00039861738,0.00093748525,0.00077088765,0.0004965189,0.00064479874,0.0005756453,0.00038091137,0.00008786849],"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":[0.00001995793,0.000020980779,0.007560421,0.000017712464,0.000023376104,0.00009193553,0.000048433412,0.9886761,0.0006677162,0.00063074176,0.00008951556,0.0021531945],"study_design_scores_gemma":[0.0000020967686,0.000008431977,0.0027187432,0.0000010500037,0.000007817956,0.0000047776807,0.000028101607,0.99685514,0.00017512476,0.00012943799,0.00006529963,0.0000038929866],"about_ca_topic_score_codex":0.08423127,"about_ca_topic_score_gemma":0.045004517,"teacher_disagreement_score":0.08423127,"about_ca_system_score_codex":0.0017499286,"about_ca_system_score_gemma":0.0013166292,"threshold_uncertainty_score":0.16748196},"labels":[],"label_agreement":null},{"id":"W4416443596","doi":"10.1016/j.ejrh.2025.102961","title":"Improving estuarine discharge forecasting with a KAN-augmented LSTM model: A case study of the Yangtze River Estuary","year":2025,"lang":"en","type":"article","venue":"Journal of Hydrology Regional Studies","topic":"Hydrological Forecasting Using AI","field":"Environmental Science","cited_by":4,"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":"National Natural Science Foundation of China; Natural Science Foundation of Jiangxi Province; Ontario Ministry of Natural Resources and Forestry","keywords":"Estuary; Yangtze river; Artificial neural network; Adaptability; Limiting; Nonlinear system; Streamflow; Deep learning; Stream flow","score_opus":0.04503780182809926,"score_gpt":0.27992526197352996,"score_spread":0.23488746014543072,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416443596","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":[0.95906687,0.00065639644,0.03474429,0.0009445702,0.00012398089,0.00002786118,0.0009937796,0.0010975215,0.0023448123],"genre_scores_gemma":[0.9919344,0.00018568231,0.0062489044,0.000046225756,0.000020102689,0.0000126114855,0.0005366541,0.000021561073,0.0009939194],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99987566,0.000029189197,0.000011590857,0.000039346967,0.000023983053,0.000020240683],"domain_scores_gemma":[0.99971884,0.000116579715,0.00002651938,0.000019614079,0.000098629316,0.000019697945],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00051741744,0.0008585124,0.00036725172,0.00046265338,0.00037400736,0.0005253627,0.0006108467,0.000599439,0.00066001236],"category_scores_gemma":[0.0012362001,0.0002098937,0.0004867959,0.0008916135,0.00026299196,0.0008533209,0.0005292703,0.0006516824,0.0001567867],"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":[0.00013597329,0.00009144115,0.025051842,0.000121369834,0.000086114924,0.0007315344,0.00020303209,0.89712906,0.003984215,0.00086807343,0.00362524,0.06797212],"study_design_scores_gemma":[0.0000067456504,0.00001916251,0.0042635654,0.0000050147396,0.000014172302,0.000014324626,0.000062418396,0.9940268,0.0008351291,0.00034832937,0.00039456945,0.00000974943],"about_ca_topic_score_codex":0.06763286,"about_ca_topic_score_gemma":0.07094312,"teacher_disagreement_score":0.06763286,"about_ca_system_score_codex":0.0010164948,"about_ca_system_score_gemma":0.00096784916,"threshold_uncertainty_score":0.13447839},"labels":[],"label_agreement":null},{"id":"W4416860169","doi":"10.1016/j.ejrh.2025.103007","title":"Enhancing combined sewer flow prediction in data-limited urban areas using a semi-supervised learning framework","year":2025,"lang":"en","type":"article","venue":"Journal of Hydrology Regional Studies","topic":"Hydrological Forecasting Using AI","field":"Environmental Science","cited_by":0,"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 Ottawa; Wilfrid Laurier University; McGill University; Institut National de la Recherche Scientifique; United Nations University Institute for Water, Environment, and Health","funders":"Institut national de la recherche scientifique","keywords":"Benchmark (surveying); Artificial neural network; Combined sewer; Scalability; Key (lock); Cluster analysis; Predictive modelling; Flooding (psychology)","score_opus":0.05839427306579566,"score_gpt":0.3097245248225957,"score_spread":0.25133025175680007,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416860169","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":[0.40797776,0.00030402406,0.58672386,0.0003805848,0.00004324596,0.00009151905,0.0005726507,0.0018278797,0.0020786182],"genre_scores_gemma":[0.9651181,0.000044331264,0.033394966,0.00004390656,0.000022823262,0.00004753556,0.00052646815,0.000024351322,0.0007775294],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99970263,0.00009329847,0.00001878009,0.00009873566,0.00005053728,0.00003591807],"domain_scores_gemma":[0.9992054,0.000355203,0.00008876426,0.0000803335,0.00022587422,0.0000444548],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00086248736,0.00062349526,0.0005525187,0.00048652638,0.00022869522,0.0006587687,0.0010266961,0.000622969,0.0005759817],"category_scores_gemma":[0.0016508263,0.00024959826,0.00065372617,0.00032059583,0.00031654103,0.0007245516,0.00066596473,0.00063608575,0.00020178745],"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":[0.00009442156,0.00020391615,0.0070643523,0.000044888897,0.00009363057,0.00006282673,0.00006981829,0.9269841,0.00192785,0.00051867217,0.00070424,0.062231388],"study_design_scores_gemma":[0.000001896302,0.000007640407,0.00034494206,0.0000012555518,0.0000025659117,0.0000023242133,0.0000048119387,0.9991812,0.00025383048,0.00014755578,0.00005075414,0.000001302642],"about_ca_topic_score_codex":0.018119872,"about_ca_topic_score_gemma":0.017564364,"teacher_disagreement_score":0.018119872,"about_ca_system_score_codex":0.00050276786,"about_ca_system_score_gemma":0.0010160673,"threshold_uncertainty_score":0.036028802},"labels":[],"label_agreement":null},{"id":"W4416889687","doi":"10.1016/j.ejrh.2025.102996","title":"Drought-induced changes in groundwater-surface water exchange at Lake Mead area","year":2025,"lang":"en","type":"article","venue":"Journal of Hydrology Regional Studies","topic":"Synthetic Aperture Radar (SAR) Applications and Techniques","field":"Engineering","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":"United Nations University Institute for Water, Environment, and Health","funders":"National Aeronautics and Space Administration; U.S. Department of Energy","keywords":"Groundwater; Hydrology (agriculture); Surface water; Interferometric synthetic aperture radar; Water resources; Groundwater recharge; Climate change; Water level","score_opus":0.031132550550013724,"score_gpt":0.269247904378572,"score_spread":0.23811535382855825,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416889687","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":[0.9997315,0.000009043501,0.00007022941,0.000009800399,3.57673e-7,0.0000011942586,0.000055816527,0.00000564507,0.00011632298],"genre_scores_gemma":[0.9997743,0.000008414603,0.00008227816,0.0000040476098,6.274944e-7,0.0000022740878,0.000066780696,7.6087457e-7,0.000060489998],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9999547,0.0000075410694,0.0000025752213,0.000011794592,0.000008581656,0.000014710572],"domain_scores_gemma":[0.99992514,0.000011212429,0.000027346932,0.000004810692,0.000012956394,0.000018521465],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010668197,0.00011692827,0.00014320141,0.00033026576,0.00032912506,0.00034740573,0.00014503556,0.00022425978,0.0005465096],"category_scores_gemma":[0.0003092336,0.00012461664,0.0001486422,0.00032923179,0.00021296369,0.00034897635,0.00040707143,0.00013213998,0.00004908732],"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":[0.00028896207,0.00011346813,0.92865956,0.000035242418,0.00012863657,0.00045851606,0.0006346435,0.009654578,0.051744934,0.0002619905,0.00041411765,0.007605241],"study_design_scores_gemma":[0.0000061365213,0.000027969993,0.98399204,0.0000026175921,0.000013175159,0.000032369295,0.00020406448,0.014441182,0.0010280866,0.00004750194,0.00019875476,0.0000061658106],"about_ca_topic_score_codex":0.01610045,"about_ca_topic_score_gemma":0.030841636,"teacher_disagreement_score":0.01610045,"about_ca_system_score_codex":0.00043582724,"about_ca_system_score_gemma":0.00024171534,"threshold_uncertainty_score":0.032013416},"labels":[],"label_agreement":null},{"id":"W4417313618","doi":"10.1016/j.ejrh.2025.102989","title":"Allocating water resources in transboundary river basins: A sequential rubinstein bargaining approach with risk discounting","year":2025,"lang":"en","type":"article","venue":"Journal of Hydrology Regional Studies","topic":"Game Theory and Voting Systems","field":"Economics, Econometrics and Finance","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":"University of Toronto","funders":"Ministry of Education of the People's Republic of China; National Natural Science Foundation of China","keywords":"Negotiation; Mekong river; Discounting; Water resources; Resource allocation; Bankruptcy; Drainage basin","score_opus":0.0374517423262861,"score_gpt":0.2475202213922029,"score_spread":0.2100684790659168,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4417313618","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":[0.10485277,0.0002045972,0.8809123,0.00070241484,0.000041185194,0.00011052317,0.000042646538,0.000048572976,0.013085046],"genre_scores_gemma":[0.913931,0.00021803833,0.077631004,0.00008288977,0.00002624358,0.00012934642,0.000022355183,0.000023892433,0.007935244],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99692255,0.0020836443,0.00008699027,0.00041008048,0.00024416903,0.00025243062],"domain_scores_gemma":[0.9979213,0.0013609825,0.00030904202,0.00013057329,0.00016109954,0.000117044015],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0055126534,0.00063827645,0.0014782251,0.0008517652,0.0007855907,0.0019643183,0.0026377786,0.0016001351,0.0048966827],"category_scores_gemma":[0.007440283,0.0007693861,0.0013460648,0.0009644814,0.0021843193,0.0027805627,0.0020660835,0.0015896086,0.00025274395],"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":[0.00006177947,0.000052213,0.00067595235,0.000039728682,0.00005341482,0.00013937178,0.00025373028,0.7552868,0.00084856467,0.23296808,0.00021653251,0.009403936],"study_design_scores_gemma":[0.00001909623,0.000054497305,0.0001492024,0.000009970175,0.000019142015,0.000027155482,0.000115691415,0.91102344,0.00021691147,0.087661065,0.0006863988,0.000017437978],"about_ca_topic_score_codex":0.0060750223,"about_ca_topic_score_gemma":0.0048941504,"teacher_disagreement_score":0.0060750223,"about_ca_system_score_codex":0.003017995,"about_ca_system_score_gemma":0.001740441,"threshold_uncertainty_score":0.029154062},"labels":[],"label_agreement":null},{"id":"W4417412374","doi":"10.1016/j.ejrh.2025.103028","title":"Seawater intrusions for coastal aquifers are increasingly dominated by anthropogenic drivers in the Southern Mediterranean Basin","year":2025,"lang":"en","type":"article","venue":"Journal of Hydrology Regional Studies","topic":"Groundwater and Isotope Geochemistry","field":"Earth and Planetary Sciences","cited_by":0,"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":"Université de Tunis El Manar; Université de Tunis; Agence Universitaire de la Francophonie; Consorzio Interuniversitario Nazionale per la Scienza e Tecnologia dei Materiali; World Wildlife Fund; University of Southern California; Universitatea Alexandru Ioan Cuza din Iași","keywords":"Aquifer; Mediterranean climate; Saltwater intrusion; Structural basin; Mediterranean sea; Seawater intrusion; Groundwater; Seawater","score_opus":0.022004304018644064,"score_gpt":0.26537415490799937,"score_spread":0.2433698508893553,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4417412374","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":[0.9993374,0.000045777953,0.00006734701,0.000035792502,0.0000010466463,0.0000022012744,0.00015646724,0.0000042556667,0.00034961486],"genre_scores_gemma":[0.99967647,0.00003777273,0.000074967604,0.00000966748,0.0000023135315,0.0000032857804,0.000103032304,0.0000010229232,0.000091513146],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99984944,0.00003725337,0.000018860554,0.000040736424,0.000027526472,0.000026146134],"domain_scores_gemma":[0.9995096,0.00007442627,0.0002503008,0.00003999862,0.00008287013,0.00004274108],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033016846,0.00015459582,0.00014751319,0.00064470293,0.00021891814,0.00044599044,0.00019340745,0.00014415439,0.0006818485],"category_scores_gemma":[0.00088812853,0.00007022982,0.00023939864,0.00093465485,0.0002611724,0.00031528898,0.00041173643,0.00012287326,0.000065672415],"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":[0.000024141149,0.000009548551,0.9920128,0.000017031844,0.000034812325,0.00014102287,0.00043061524,0.00033116032,0.00090937485,0.000077025106,0.00014329789,0.005869199],"study_design_scores_gemma":[0.0000013210197,0.000010525655,0.99843806,0.0000044022277,0.000008145264,0.00004559661,0.00054977933,0.00045632347,0.00008499166,0.000040429506,0.0003585374,0.0000019143267],"about_ca_topic_score_codex":0.023561548,"about_ca_topic_score_gemma":0.03991752,"teacher_disagreement_score":0.023561548,"about_ca_system_score_codex":0.00052998716,"about_ca_system_score_gemma":0.00047036548,"threshold_uncertainty_score":0.046848774},"labels":[],"label_agreement":null},{"id":"W634670491","doi":"10.1016/j.ejrh.2015.04.009","title":"Evaluating the impacts of climate change and crop land use change on streamflow, nitrates and phosphorus: A modeling study in Bavaria","year":2015,"lang":"en","type":"article","venue":"Journal of Hydrology Regional Studies","topic":"Soil and Water Nutrient Dynamics","field":"Environmental Science","cited_by":103,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Environmental science; Streamflow; Watershed; Soil and Water Assessment Tool; Climate change; SWAT model; Hydrology (agriculture); Nutrient; Phosphorus; Water quality; Land use, land-use change and forestry; Precipitation; Agricultural land; Agriculture; Fertilizer; Land use; Agronomy; Geography; Drainage basin; Ecology; Meteorology; Geology; Chemistry","score_opus":0.2363013755598041,"score_gpt":0.36152847291723617,"score_spread":0.12522709735743207,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W634670491","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":[0.9971878,0.0001058356,0.0004758693,0.0001442475,0.000003645891,0.000013930499,0.0006031709,0.000047088623,0.0014184617],"genre_scores_gemma":[0.99805754,0.00017399291,0.00060924346,0.000026651882,0.0000043392556,0.000028878081,0.0005757155,0.0000136808,0.00050989806],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99977106,0.00009729624,0.000009379325,0.00004156317,0.000021595677,0.00005905684],"domain_scores_gemma":[0.9995857,0.00024537643,0.000041873438,0.00002346111,0.000044154676,0.00005945074],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039793548,0.00060151395,0.0005330482,0.0005429439,0.0006328889,0.0015966318,0.00079281325,0.0013968612,0.0014065264],"category_scores_gemma":[0.0008827194,0.0003939365,0.0007429049,0.0012001519,0.000515571,0.00077591476,0.00052023254,0.0005407989,0.000170379],"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":[0.00024809808,0.00054755737,0.0587417,0.000067073575,0.00031270846,0.00047824686,0.00018727871,0.92850304,0.0021061925,0.0012648754,0.0014900166,0.0060532307],"study_design_scores_gemma":[0.00015356275,0.0001273816,0.050165433,0.000014421188,0.00015065017,0.000042911066,0.00041944726,0.9458086,0.0009240807,0.00048558947,0.001677581,0.000030343885],"about_ca_topic_score_codex":0.27728504,"about_ca_topic_score_gemma":0.17621715,"teacher_disagreement_score":0.27728504,"about_ca_system_score_codex":0.0035912711,"about_ca_system_score_gemma":0.0014825523,"threshold_uncertainty_score":0.5513421},"labels":[],"label_agreement":null},{"id":"W6940847332","doi":"10.1016/j.ejrh.2025.102623","title":"Development of a hydrometeorological drought severity composite index based on the integration of multisource characteristics and an explainable artificial intelligence model","year":2025,"lang":"en","type":"article","venue":"Journal of Hydrology Regional Studies","topic":"Mycorrhizal Fungi and Plant Interactions","field":"Agricultural and Biological Sciences","cited_by":5,"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 du Québec à Trois-Rivières","funders":"International Science and Technology Cooperation Programme; Centre National pour la Recherche Scientifique et Technique; Université Mohammed VI Polytechnique; Environmental Systems Research Institute","keywords":"Hydrometeorology; Weighting; Streamflow; Composite index; Index (typography); Geospatial analysis","score_opus":0.07090866568708745,"score_gpt":0.2953860367947243,"score_spread":0.22447737110763685,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6940847332","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":[0.20441325,0.00032740115,0.7885645,0.0002978495,0.00006989298,0.00013380176,0.00031746126,0.00044034942,0.0054355445],"genre_scores_gemma":[0.89683795,0.0001711342,0.100938745,0.000034074583,0.000030417143,0.000118385746,0.00038673088,0.000021664762,0.0014608036],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99985015,0.000036870995,0.000010141285,0.000034743858,0.000048022765,0.000020038271],"domain_scores_gemma":[0.99983835,0.00004389793,0.00002794999,0.000009205807,0.00006698764,0.000013677869],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045672824,0.00043853858,0.0003131253,0.0009825877,0.00018297222,0.00081024715,0.0004887037,0.00030805336,0.0007021905],"category_scores_gemma":[0.0006648248,0.00014942691,0.0005299662,0.0005313691,0.00013239853,0.0005783996,0.0004384734,0.00036218396,0.00012032277],"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":[0.000069198686,0.0001680862,0.035497446,0.00011130329,0.00028845633,0.00024051625,0.00014505337,0.7604152,0.010406635,0.010797309,0.0016177252,0.18024305],"study_design_scores_gemma":[0.00000227115,0.000023407121,0.0035443616,0.0000041371227,0.000015865082,0.000012204244,0.000017282042,0.9943111,0.00061732164,0.0009837528,0.00046133972,0.000007023443],"about_ca_topic_score_codex":0.008022012,"about_ca_topic_score_gemma":0.007039929,"teacher_disagreement_score":0.008022012,"about_ca_system_score_codex":0.0006378772,"about_ca_system_score_gemma":0.0007119075,"threshold_uncertainty_score":0.01595062},"labels":[],"label_agreement":null},{"id":"W6959279332","doi":"10.1016/j.ejrh.2025.102621","title":"Unveiling spatiotemporal patterns of compound hydrological droughts and river heatwaves in Poland","year":2025,"lang":"en","type":"article","venue":"Journal of Hydrology Regional Studies","topic":"Soybean genetics and cultivation","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":"United Nations University Institute for Water, Environment, and Health","funders":"Yunnan Normal University; National Natural Science Foundation of China; Instytut Meteorologii i Gospodarki Wodnej – Państwowy Instytut Badawczy","keywords":"Streamflow; Period (music); Climate change; Climate extremes; Water resources; Duration (music); Hydrology (agriculture); Trend analysis","score_opus":0.039086451373751316,"score_gpt":0.2764643943892376,"score_spread":0.23737794301548626,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6959279332","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":[0.9981945,0.00022866813,0.00038401788,0.000024358444,0.0000027008546,0.000005837124,0.00083498954,0.000008942343,0.00031589714],"genre_scores_gemma":[0.99796695,0.00025001745,0.00035629698,0.000009855253,0.0000041897647,0.000009520581,0.001225964,0.000003999602,0.00017325672],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99980456,0.000031967917,0.000038966424,0.00006518142,0.000024184677,0.00003514828],"domain_scores_gemma":[0.9997522,0.000037766804,0.00011080217,0.00002538127,0.000049069276,0.000024735453],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004269056,0.0001479908,0.00025242128,0.0011082307,0.00012757146,0.0005908222,0.00013922778,0.00019591776,0.00034884512],"category_scores_gemma":[0.00072700664,0.00014920296,0.0002637053,0.0014291382,0.00015416891,0.00042245555,0.00067845423,0.00015415157,0.00008135352],"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":[0.000101791295,0.00002068984,0.9721085,0.000093441544,0.00023090687,0.00021932887,0.0008261577,0.001302895,0.0022063733,0.00019025407,0.0004589102,0.022240797],"study_design_scores_gemma":[0.0000024504207,0.000010002298,0.99772495,0.0000119492715,0.000029897936,0.000039819173,0.00036844824,0.000617832,0.00012930766,0.000037051468,0.0010240586,0.000004186576],"about_ca_topic_score_codex":0.011486569,"about_ca_topic_score_gemma":0.01991956,"teacher_disagreement_score":0.011486569,"about_ca_system_score_codex":0.00025276758,"about_ca_system_score_gemma":0.0002984597,"threshold_uncertainty_score":0.022839427},"labels":[],"label_agreement":null},{"id":"W7083579974","doi":"10.1016/j.ejrh.2025.102788","title":"Examining the impact of stream pH changes on transient P storage in streambed sediments across multiple temporal scales","year":2025,"lang":"en","type":"article","venue":"Journal of Hydrology Regional Studies","topic":"Religious and Theological Studies","field":"Social Sciences","cited_by":1,"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 Waterloo; Environment and Climate Change Canada; Western University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"STREAMS; Diel vertical migration; Nutrient; Sediment; Snowmelt; Precipitation; Hydrology (agriculture); Watershed","score_opus":0.07768787961956228,"score_gpt":0.3879280589830169,"score_spread":0.3102401793634546,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7083579974","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":[0.9968939,0.00051916006,0.00034179396,0.00006085845,0.0000038198186,0.000018551948,0.0009409367,0.000013926499,0.0012070021],"genre_scores_gemma":[0.99864465,0.00020470638,0.00028104614,0.000023864146,0.0000023962516,0.000009184081,0.00037352968,0.000002341475,0.0004583743],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999853,0.000010628765,0.000006245338,0.0000469279,0.00005397527,0.000029237932],"domain_scores_gemma":[0.9995617,0.00004711541,0.00012749301,0.000017929902,0.0001897142,0.000056060693],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002641376,0.0001601202,0.00016090261,0.00042939957,0.00060043484,0.000647075,0.00030599794,0.00015941515,0.00077304227],"category_scores_gemma":[0.0007601362,0.00010639072,0.0001247561,0.00076467264,0.000336518,0.00029053178,0.0003642411,0.00015146508,0.00006813819],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023564442,0.00003720576,0.9510089,0.00017045825,0.00014779506,0.00013530346,0.00068077847,0.0012890693,0.016134446,0.00021361119,0.00060087314,0.029345967],"study_design_scores_gemma":[0.000001649764,0.000017083428,0.99829847,0.000003888434,0.00001341257,0.000010188762,0.0001349235,0.0004902053,0.00048817517,0.00002746737,0.00051103195,0.0000034808259],"about_ca_topic_score_codex":0.80855143,"about_ca_topic_score_gemma":0.92161894,"teacher_disagreement_score":0.80855143,"about_ca_system_score_codex":0.004263942,"about_ca_system_score_gemma":0.004272764,"threshold_uncertainty_score":0.38515204},"labels":[],"label_agreement":null}]}