{"meta":{"query_hash":"0f6e7087dd89","filters":{"venue":"Proceedings of the International Association of Hydrological Sciences"},"cohort_total":17,"direct_labels_cover":0,"predictions_cover":17,"exported":17,"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/0f6e7087dd89","api":"https://metacan.xera.ac/api/v1/cohort?venue=Proceedings+of+the+International+Association+of+Hydrological+Sciences"},"results":[{"id":"W1815100339","doi":"10.5194/piahs-369-147-2015","title":"Downscaling approach to develop future sub-daily IDF relations for Canberra Airport Region, Australia","year":2015,"lang":"en","type":"article","venue":"Proceedings of the International Association of Hydrological Sciences","topic":"Climate variability and models","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Curtin University of Technology","keywords":"Downscaling; HadCM3; Climatology; Environmental science; Climate change; Context (archaeology); Scale (ratio); General Circulation Model; Meteorology; Spatial ecology; Baseline (sea); Geography; Precipitation; Geology; Cartography","score_opus":0.06429067060931574,"score_gpt":0.27719002896701517,"score_spread":0.2128993583576994,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1815100339","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":[0.83617187,0.00071487494,0.12072363,0.00047934052,0.00013303,0.00026564967,0.00616527,0.0014369584,0.033909485],"genre_scores_gemma":[0.9468476,0.00026979684,0.04380914,0.00004199034,0.000020711353,0.00009450171,0.002962812,0.00012096524,0.005832507],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998505,0.000018659426,0.000011184722,0.00004108734,0.000056623583,0.000021935033],"domain_scores_gemma":[0.99980134,0.000017612381,0.000023769157,0.000021409742,0.00012482934,0.000011157911],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024295262,0.00030797435,0.00020276857,0.0009614071,0.0002659388,0.00048313334,0.00039678602,0.00027468844,0.0028294418],"category_scores_gemma":[0.00088157126,0.00016428976,0.00037973936,0.0007757243,0.000090324305,0.00039702404,0.00030730094,0.00037535842,0.0006325751],"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":[0.00011281522,0.0001312454,0.15449111,0.00031577278,0.0001136777,0.00080866733,0.0010602083,0.5446676,0.024148995,0.005054682,0.01280324,0.25629202],"study_design_scores_gemma":[0.0000097511665,0.00004085082,0.12507342,0.000041279214,0.000026779866,0.00009125343,0.00026039404,0.8547962,0.0037087789,0.0010976305,0.014821878,0.00003184859],"about_ca_topic_score_codex":0.10379723,"about_ca_topic_score_gemma":0.07942209,"teacher_disagreement_score":0.10379723,"about_ca_system_score_codex":0.0007980851,"about_ca_system_score_gemma":0.00071469176,"threshold_uncertainty_score":0.20638615},"labels":[],"label_agreement":null},{"id":"W1840548153","doi":"10.5194/piahs-369-13-2015","title":"Interdisciplinary approach to hydrological hazard mitigation and disaster response and effects of climate change on the occurrence of flood severity in central Alaska","year":2015,"lang":"en","type":"article","venue":"Proceedings of the International Association of Hydrological Sciences","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":11,"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; Environmental planning; Flood mitigation; Flooding (psychology); Preparedness; Emergency management; Geography; Outreach; Hazard; Environmental resource management; Political science; Environmental science","score_opus":0.019616848754914727,"score_gpt":0.24101327593123467,"score_spread":0.22139642717631994,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1840548153","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":[0.97940254,0.001988281,0.0010622763,0.0025022405,0.00009578867,0.000052314954,0.00008511403,0.000015583892,0.014795955],"genre_scores_gemma":[0.99648285,0.0010065866,0.0007167104,0.0001604844,0.000019027168,0.000044820812,0.000028118666,0.000002349025,0.0015390076],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988527,0.00076221424,0.00003852014,0.0001007162,0.00010061107,0.0001451798],"domain_scores_gemma":[0.99838376,0.0005530584,0.00021257349,0.00004210226,0.0002051377,0.0006033595],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022662284,0.00032305127,0.00027552358,0.001972274,0.0045504104,0.002815479,0.0006644397,0.0006594512,0.0030947586],"category_scores_gemma":[0.0026505673,0.00019524065,0.00037277554,0.0014889707,0.00162973,0.0010465891,0.00319558,0.0009644704,0.00014359795],"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":[0.00032471158,0.0012106071,0.6744895,0.00057095446,0.00051691546,0.004630279,0.19919349,0.008861867,0.0017269652,0.012817807,0.0042362898,0.09142064],"study_design_scores_gemma":[0.0000125952165,0.00024069843,0.3621492,0.00050045876,0.00010944234,0.00042703323,0.61235595,0.0030777536,0.00029021743,0.008717328,0.012068186,0.000051189523],"about_ca_topic_score_codex":0.08833995,"about_ca_topic_score_gemma":0.20308733,"teacher_disagreement_score":0.08833995,"about_ca_system_score_codex":0.0054056696,"about_ca_system_score_gemma":0.0092888465,"threshold_uncertainty_score":0.17565149},"labels":[],"label_agreement":null},{"id":"W1870756905","doi":"10.5194/piahs-368-287-2015","title":"Impact of global dimming on reference evapotranspiration in Hai River basin, China","year":2015,"lang":"en","type":"article","venue":"Proceedings of the International Association of Hydrological Sciences","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":7,"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":"Institute of Genetics and Developmental Biology, Chinese Academy of Sciences; Fundamental Research Funds for the Central Universities; China Institute of Water Resources and Hydropower Research; Chinese Academy of Sciences; State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin; Institute of Genetics; National Natural Science Foundation of China","keywords":"Sunshine duration; Evapotranspiration; Environmental science; Climatology; Water cycle; Drainage basin; Structural basin; Trend analysis; Precipitation; Meteorology; Geography; Mathematics; Geology","score_opus":0.018760987829278868,"score_gpt":0.25942510625456733,"score_spread":0.24066411842528845,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1870756905","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":[0.9988863,0.00017060536,0.000095691066,0.000049515646,0.000003832874,0.0000024519911,0.00031799864,0.000007924475,0.00046568687],"genre_scores_gemma":[0.99948716,0.000059377453,0.0000483194,0.000009383344,0.000003045228,0.0000023940368,0.00027298028,0.0000020109346,0.000115195035],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998759,0.000020628406,0.000012183128,0.00004016744,0.000024549578,0.000026586098],"domain_scores_gemma":[0.9998379,0.000021916147,0.00004407615,0.000015159995,0.000046698435,0.000034178665],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003239741,0.00026271102,0.00021675765,0.00049145403,0.00027564127,0.00039779893,0.0001879006,0.00016748114,0.0006086322],"category_scores_gemma":[0.00033344468,0.00013662834,0.00026475734,0.0007883436,0.0002456417,0.00028891864,0.00029862334,0.00014516147,0.000049766568],"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":[0.000053984044,0.000020082742,0.9845456,0.000054761527,0.00011295116,0.00018844762,0.00040818664,0.0022320163,0.003390366,0.00013799107,0.00038529898,0.008470291],"study_design_scores_gemma":[0.0000012569161,0.0000060482566,0.99874,0.0000025694305,0.000008716594,0.00001204049,0.00007898173,0.0007805852,0.00012596391,0.000015133704,0.00022647613,0.0000022921547],"about_ca_topic_score_codex":0.04503266,"about_ca_topic_score_gemma":0.069155596,"teacher_disagreement_score":0.04503266,"about_ca_system_score_codex":0.0006491891,"about_ca_system_score_gemma":0.00061342714,"threshold_uncertainty_score":0.08954108},"labels":[],"label_agreement":null},{"id":"W1917589669","doi":"10.5194/piahs-371-83-2015","title":"Frequency of floods in a changing climate: a case study from the Red River in Manitoba, Canada","year":2015,"lang":"en","type":"article","venue":"Proceedings of the International Association of Hydrological Sciences","topic":"Climate variability and models","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":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Environmental science; Precipitation; Coupled model intercomparison project; Climate change; Snow; Climatology; Flood myth; Drainage basin; Flooding (psychology); Spring (device); Climate model; Range (aeronautics); Streamflow; Hydrology (agriculture); Meteorology; Geography; Geology","score_opus":0.0371077703039214,"score_gpt":0.24784185729751634,"score_spread":0.21073408699359494,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1917589669","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":[0.9968869,0.00016942322,0.00014031192,0.00032137113,0.0000049280684,0.0000320735,0.00093908596,0.000012549952,0.0014933826],"genre_scores_gemma":[0.9975279,0.00029866627,0.00042107128,0.00009530411,0.0000046561386,0.0000138658,0.0006839699,0.000006691705,0.0009478949],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996451,0.00006106896,0.00001769709,0.00004935922,0.00009603036,0.00013061124],"domain_scores_gemma":[0.999124,0.00017162782,0.00008116438,0.000035678986,0.00038757196,0.0001999827],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004760426,0.00035123347,0.00028761235,0.0012115972,0.00301327,0.001228779,0.0012740266,0.00068575895,0.0009813878],"category_scores_gemma":[0.0011559498,0.0002641827,0.00045668575,0.004166092,0.0009219465,0.0003241721,0.0006779284,0.000701308,0.00010722435],"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":[0.00011360169,0.00018769913,0.96033436,0.00011441332,0.00016125881,0.0058464897,0.0056019886,0.010485254,0.0010226376,0.0007646294,0.0025491382,0.012818487],"study_design_scores_gemma":[0.000024301473,0.00005068607,0.9613832,0.000052694468,0.00007811636,0.000621594,0.020523142,0.013754908,0.00030239273,0.00018673314,0.0029625606,0.000059694994],"about_ca_topic_score_codex":0.995456,"about_ca_topic_score_gemma":0.997472,"teacher_disagreement_score":0.030071056,"about_ca_system_score_codex":0.030071056,"about_ca_system_score_gemma":0.019580152,"threshold_uncertainty_score":0.21818179},"labels":[],"label_agreement":null},{"id":"W1965105851","doi":"10.5194/piahs-367-134-2015","title":"Wave-current induced erosion of cohesive riverbanks in northern Manitoba, Canada","year":2015,"lang":"en","type":"article","venue":"Proceedings of the International Association of Hydrological Sciences","topic":"Geological formations and processes","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":"Manitoba Hydro; University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada; Manitoba Hydro; University of Manitoba","keywords":"Hydrology (agriculture); Geology; Erosion; Current (fluid); Soil water; Alluvium; Acoustic Doppler current profiler; Sediment; Bathymetry; Environmental science; Geotechnical engineering; Geomorphology; Soil science; Oceanography","score_opus":0.03902606446975785,"score_gpt":0.22084289330192033,"score_spread":0.1818168288321625,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1965105851","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":[0.9974674,0.0001236974,0.00012801676,0.000046429108,0.0000028550546,0.000042856365,0.0006399748,0.000013185233,0.0015355845],"genre_scores_gemma":[0.9975846,0.00019852848,0.0005017538,0.000035297704,0.0000013780535,0.000034425226,0.00036640032,0.0000039702873,0.0012736042],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99978524,0.0000178008,0.000009096529,0.000048906775,0.000074783165,0.00006426829],"domain_scores_gemma":[0.9993292,0.00006493845,0.000073258976,0.000018962079,0.00041643574,0.0000972333],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026072955,0.000282344,0.00023202067,0.0010033117,0.0018234192,0.001039419,0.0006954442,0.00019143386,0.0011102263],"category_scores_gemma":[0.00057201146,0.00026569524,0.00022400975,0.0020434512,0.00078552595,0.00021196395,0.00048690775,0.00025101105,0.00012200415],"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":[0.00014852839,0.000109222885,0.97095776,0.00011892995,0.000074284275,0.0005723519,0.0017450681,0.0026346964,0.0075119287,0.0002985855,0.0007568762,0.0150717525],"study_design_scores_gemma":[0.0000131191155,0.000036843117,0.9952958,0.000022396041,0.000023109016,0.000040399547,0.0016953904,0.0012862707,0.0004777995,0.000032457396,0.001065595,0.000010866207],"about_ca_topic_score_codex":0.9885274,"about_ca_topic_score_gemma":0.9969336,"teacher_disagreement_score":0.021730224,"about_ca_system_score_codex":0.021730224,"about_ca_system_score_gemma":0.020172888,"threshold_uncertainty_score":0.15766454},"labels":[],"label_agreement":null},{"id":"W1983472933","doi":"10.5194/piahs-366-1-2015","title":"Hydrological sciences and water security: An overview","year":2015,"lang":"en","type":"article","venue":"Proceedings of the International Association of Hydrological Sciences","topic":"Transboundary Water Resource Management","field":"Social Sciences","cited_by":37,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Water security; Water resources; Groundwater; Food security; Environmental science; Water supply; Population; Production (economics); Water cycle; Hydrology (agriculture); Water resource management; Environmental resource management; Natural resource economics; Environmental planning; Geography; Environmental engineering; Sociology; Ecology; Engineering; Economics","score_opus":0.07382287974877566,"score_gpt":0.3259561284854015,"score_spread":0.25213324873662585,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1983472933","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":[0.0005517733,0.971074,0.0030784807,0.008253316,0.0020259859,0.000019849283,0.0000729383,0.000038749655,0.014884993],"genre_scores_gemma":[0.005509668,0.9835939,0.001962504,0.0021342947,0.004440822,0.000023330136,0.000080596306,0.00001360343,0.0022413724],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.999258,0.00026152466,0.000076046206,0.000085033156,0.00024402601,0.00007536623],"domain_scores_gemma":[0.9988238,0.000677867,0.00009820675,0.00004333062,0.00024557626,0.00011115777],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016764164,0.001134957,0.0011913321,0.006348281,0.0008100276,0.003309633,0.0006591138,0.0023854848,0.005235798],"category_scores_gemma":[0.0013719492,0.00051675725,0.0006717092,0.009352921,0.0023684562,0.0060966695,0.0028173178,0.0032852306,0.001405741],"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":[0.000074179494,0.0001574789,0.0026021518,0.0078432,0.00015659815,0.0002766454,0.0008934168,0.0031221488,0.0006692177,0.1667174,0.12420898,0.6932785],"study_design_scores_gemma":[0.0000073096235,0.00007661103,0.0025771526,0.003811384,0.000035154986,0.00029684507,0.0003916304,0.0006589568,0.00013620478,0.07497287,0.9170007,0.000035188998],"about_ca_topic_score_codex":0.0040633935,"about_ca_topic_score_gemma":0.003843765,"teacher_disagreement_score":0.006348281,"about_ca_system_score_codex":0.0017318289,"about_ca_system_score_gemma":0.0025248695,"threshold_uncertainty_score":0.01751548},"labels":[],"label_agreement":null},{"id":"W2045378474","doi":"10.5194/piahs-367-157-2015","title":"The effect of coarse gravel on cohesive sediment entrapment in an annular flume","year":2015,"lang":"en","type":"article","venue":"Proceedings of the International Association of Hydrological Sciences","topic":"Hydrology and Sediment Transport Processes","field":"Environmental Science","cited_by":12,"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 Alberta; Environment and Climate Change Canada; University of Waterloo","funders":"","keywords":"Flume; Geology; Sediment; Erosion; Geotechnical engineering; Settling; Deposition (geology); Shear stress; Sediment transport; Bedform; Bed load; Hydrology (agriculture); Flow (mathematics); Geomorphology; Environmental science; Materials science","score_opus":0.012041190135757145,"score_gpt":0.245747032933008,"score_spread":0.23370584279725087,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2045378474","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":[0.99971133,0.0000414716,0.00007529911,0.0000037927225,0.0000014752709,0.0000028919183,0.000011246814,0.0000043706495,0.00014819083],"genre_scores_gemma":[0.9994949,0.00002693505,0.000176208,0.000010886573,6.6267955e-7,0.0000025507393,0.00002110218,0.0000019733702,0.0002647043],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9998776,0.00001467403,0.0000072470534,0.000029911052,0.000027968685,0.000042543037],"domain_scores_gemma":[0.9997203,0.00008759887,0.000039181494,0.000012947157,0.00005695022,0.000082997554],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022836794,0.00025240827,0.00024908356,0.0001701905,0.00055843283,0.00073043135,0.00022202355,0.00018821206,0.0007931753],"category_scores_gemma":[0.000434557,0.00014578902,0.00013425644,0.00009409007,0.00038353374,0.00024406755,0.0003569773,0.00020342776,0.000078248275],"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":[0.0014679029,0.00017409457,0.031534676,0.00009208359,0.000039981875,0.00022859803,0.00029952198,0.0017199273,0.9570068,0.000072392584,0.00007655643,0.0072873896],"study_design_scores_gemma":[0.000073158524,0.003142945,0.5939341,0.000024490691,0.00009854334,0.00013515227,0.0011372559,0.016027851,0.3840686,0.00007599038,0.0012418228,0.000040094525],"about_ca_topic_score_codex":0.057474896,"about_ca_topic_score_gemma":0.11044728,"teacher_disagreement_score":0.057474896,"about_ca_system_score_codex":0.0011498574,"about_ca_system_score_gemma":0.00054431544,"threshold_uncertainty_score":0.11428076},"labels":[],"label_agreement":null},{"id":"W2076132658","doi":"10.5194/piahs-366-177-2015","title":"Estimation of discharge in rivers by different artificial neural network algorithms: case of the Algerian Coastal basin","year":2015,"lang":"en","type":"article","venue":"Proceedings of the International Association of Hydrological Sciences","topic":"Hydrological Forecasting Using AI","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":"Université du Québec","funders":"","keywords":"Artificial neural network; Structural basin; Estimation; Algorithm; Computer science; Geology; Artificial intelligence; Engineering; Geomorphology","score_opus":0.02248008192885278,"score_gpt":0.2504046577407681,"score_spread":0.2279245758119153,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2076132658","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":[0.9837474,0.00035081222,0.013265412,0.00038533963,0.000018232391,0.000020502415,0.00025087013,0.00013168072,0.0018297984],"genre_scores_gemma":[0.99491054,0.00015400672,0.00392032,0.000013196639,0.0000069419607,0.0000122048605,0.00014258665,0.000009587327,0.0008305398],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998265,0.000086969616,0.000015966463,0.000023479835,0.00002228677,0.000024820092],"domain_scores_gemma":[0.99905926,0.0006601337,0.000045471385,0.000047307112,0.00015838367,0.000029413908],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008748644,0.00037139375,0.00037436478,0.00056496385,0.0004141392,0.00054064195,0.0005698362,0.00076810044,0.0012274203],"category_scores_gemma":[0.0022390469,0.00018389396,0.00046361142,0.0007719785,0.0003402024,0.000440955,0.00038320883,0.00034118915,0.00009877318],"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":[0.00029455536,0.00010055076,0.021214642,0.00008564891,0.00006298957,0.0004361996,0.000081678685,0.94893914,0.0011694918,0.0006438769,0.00054974033,0.026421417],"study_design_scores_gemma":[0.000019600813,0.000039727758,0.016323213,0.000012461886,0.00002565019,0.00002696513,0.000079652425,0.9818782,0.00099646,0.00036405167,0.00022175931,0.0000122784095],"about_ca_topic_score_codex":0.09943447,"about_ca_topic_score_gemma":0.05837207,"teacher_disagreement_score":0.09943447,"about_ca_system_score_codex":0.0008728419,"about_ca_system_score_gemma":0.00057301694,"threshold_uncertainty_score":0.19771141},"labels":[],"label_agreement":null},{"id":"W2081232524","doi":"10.5194/piahs-366-23-2015","title":"Water Security – science and management challenges","year":2015,"lang":"en","type":"article","venue":"Proceedings of the International Association of Hydrological Sciences","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":24,"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 Saskatchewan","funders":"","keywords":"Discipline; Interdependence; Human systems engineering; Environmental resource management; Water security; Environmental planning; Ecosystem management; Earth system science; Water resources; Scale (ratio); Natural (archaeology); Land management; Land use; Environmental science; Sociology; Geography; Engineering; Ecology; Social science; Civil engineering; Ecosystem","score_opus":0.022840957521378345,"score_gpt":0.23875502139753418,"score_spread":0.21591406387615583,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2081232524","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":[0.0032577103,0.08107532,0.0063099777,0.8747852,0.0038171762,0.000028132781,0.00012340529,0.000036847723,0.030566312],"genre_scores_gemma":[0.41367754,0.353985,0.01375616,0.16858196,0.032688852,0.00031012352,0.00036086427,0.000108079665,0.016531436],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99333197,0.002734269,0.00042364915,0.00079465815,0.0021269403,0.0005884435],"domain_scores_gemma":[0.98528606,0.008492064,0.0010002693,0.00082563324,0.0031482591,0.0012477775],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.015147328,0.0007916583,0.0013449539,0.002529299,0.0041936566,0.011947322,0.002432685,0.013484664,0.007752653],"category_scores_gemma":[0.014340831,0.0004779206,0.00064820953,0.002896449,0.023058662,0.020104904,0.008866028,0.012036444,0.001591895],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000028688808,0.00007850848,0.0008045765,0.0008064339,0.00003178664,0.00020486949,0.0008639603,0.0023855937,0.00043098454,0.81209695,0.07932646,0.10294116],"study_design_scores_gemma":[0.0000071979416,0.000048193917,0.00052123005,0.0012168958,0.000006967189,0.00017250679,0.0027976953,0.0011036618,0.00017918479,0.7346777,0.2592311,0.000037640068],"about_ca_topic_score_codex":0.0056161713,"about_ca_topic_score_gemma":0.0041921614,"teacher_disagreement_score":0.015147328,"about_ca_system_score_codex":0.0067637963,"about_ca_system_score_gemma":0.011637825,"threshold_uncertainty_score":0.08010769},"labels":[],"label_agreement":null},{"id":"W2103147247","doi":"10.5194/piahs-366-134-2015","title":"Adapting to climate change: water distribution in BBA City, Algeria","year":2015,"lang":"en","type":"article","venue":"Proceedings of the International Association of Hydrological Sciences","topic":"Water resources management and optimization","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":"Université du Québec","funders":"","keywords":"Climate change; Environmental science; Water resource management; Water resources; Water supply; Distribution (mathematics); Leakage (economics); Water use; Natural resource economics; Environmental engineering; Economics; Geology; Mathematics","score_opus":0.03390544565253431,"score_gpt":0.23721443624024585,"score_spread":0.20330899058771154,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2103147247","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":[0.9933241,0.00017911574,0.00042353675,0.0009835497,0.000018364273,0.000015574025,0.0019299207,0.000031286,0.003094633],"genre_scores_gemma":[0.9972856,0.00018726103,0.00030645402,0.00004917373,0.000007429832,0.000010945847,0.0007409775,0.000006583132,0.0014056824],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998111,0.00005291797,0.000007902969,0.000025659325,0.00003027285,0.00007213919],"domain_scores_gemma":[0.99987864,0.000021252086,0.000026889122,0.000007385755,0.000037675127,0.000028115588],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022565504,0.0002624114,0.00022082606,0.00043084964,0.0006950582,0.0011518499,0.0003880637,0.0005969495,0.002556857],"category_scores_gemma":[0.00033975433,0.00015221594,0.0003937435,0.0017548092,0.00027464784,0.0004504332,0.0005018445,0.00030126653,0.00021863279],"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":[0.0007804327,0.00084763695,0.6028593,0.00046501702,0.000567385,0.008955709,0.0015993614,0.29439753,0.007512377,0.007703822,0.01578663,0.058524802],"study_design_scores_gemma":[0.00008101676,0.000100113255,0.8291739,0.000042927873,0.00010804774,0.00048108425,0.006092995,0.14508149,0.0021201628,0.0013414489,0.015305923,0.00007090642],"about_ca_topic_score_codex":0.19980264,"about_ca_topic_score_gemma":0.17910752,"teacher_disagreement_score":0.19980264,"about_ca_system_score_codex":0.0049670176,"about_ca_system_score_gemma":0.0019057456,"threshold_uncertainty_score":0.39727932},"labels":[],"label_agreement":null},{"id":"W2144959555","doi":"10.5194/piahs-365-16-2015","title":"Estimating sea-level allowances for Atlantic Canada under conditions of uncertain sea-level rise","year":2015,"lang":"en","type":"article","venue":"Proceedings of the International Association of Hydrological Sciences","topic":"Geophysics and Gravity Measurements","field":"Earth and Planetary Sciences","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":"University of Victoria; Bedford Institute of Oceanography; Geological Survey of Canada; Natural Resources Canada; Fisheries and Oceans Canada","funders":"Natural Resources Canada","keywords":"Tide gauge; Storm surge; Sea level; Coastal flood; Sea level rise; Gumbel distribution; Climatology; Post-glacial rebound; Climate change; Range (aeronautics); Return period; Storm; Environmental science; Oceanography; Flooding (psychology); Geography; Extreme value theory; Physical geography; Geology; Flood myth; Statistics","score_opus":0.08427020714104036,"score_gpt":0.27322557583951473,"score_spread":0.18895536869847437,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2144959555","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":[0.97022384,0.0002993574,0.017683718,0.00020199378,0.0000152152115,0.00007422558,0.0068541463,0.00020436254,0.0044430117],"genre_scores_gemma":[0.9862136,0.000109268236,0.010137935,0.000019295085,0.000005022567,0.000015590387,0.0029419765,0.000020591484,0.0005366474],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99926215,0.000083897576,0.000045807,0.00014358418,0.00032829534,0.00013620674],"domain_scores_gemma":[0.9980556,0.00052891875,0.00031884725,0.00010143643,0.00085061457,0.00014462385],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010823291,0.00045431702,0.00035806966,0.0016513955,0.0007638584,0.0013384434,0.0007797015,0.00023910642,0.0007089681],"category_scores_gemma":[0.006262245,0.00033417437,0.0005418249,0.0026601916,0.00041530348,0.00049747754,0.00067192176,0.0004897236,0.00010052315],"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":[0.00018113603,0.000029986759,0.46090052,0.0000621803,0.000278418,0.000292593,0.0001807215,0.5039955,0.0011390107,0.002600642,0.0014348492,0.028904384],"study_design_scores_gemma":[0.000020792299,0.000043291624,0.29196694,0.00003241666,0.00008038105,0.00008543309,0.00045828664,0.6989051,0.0015944899,0.0017610504,0.0049753706,0.00007641086],"about_ca_topic_score_codex":0.9306276,"about_ca_topic_score_gemma":0.95671105,"teacher_disagreement_score":0.069372416,"about_ca_system_score_codex":0.010677415,"about_ca_system_score_gemma":0.00982689,"threshold_uncertainty_score":0.13956189},"labels":[],"label_agreement":null},{"id":"W2162143710","doi":"10.5194/piahs-364-429-2014","title":"The impact of poor governance on water and sediment quality: a case study in the Pitimbu River, Brazil","year":2014,"lang":"en","type":"article","venue":"Proceedings of the International Association of Hydrological Sciences","topic":"Water Governance and Infrastructure","field":"Social 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":false,"ca_institutions":"McGill University","funders":"Conselho Nacional de Desenvolvimento Científico e Tecnológico; McGill University","keywords":"Sanitation; Urbanization; Corporate governance; Water quality; Drainage basin; Business; Water resources; Water resource management; Environmental planning; Resource (disambiguation); Environmental science; Geography; Environmental engineering; Economic growth; Economics","score_opus":0.01805661491224596,"score_gpt":0.32913329191258406,"score_spread":0.3110766770003381,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2162143710","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":[0.99600416,0.00018310093,0.0002553997,0.00087367813,0.0000029541538,0.000028704835,0.00004788994,0.0000032755433,0.0026008883],"genre_scores_gemma":[0.9994438,0.00015810893,0.00013279133,0.000042364252,0.0000014852321,0.000008497693,0.0000130188455,0.0000012966909,0.00019861815],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99894065,0.0005671832,0.000041789026,0.000069015,0.00013791781,0.00024344184],"domain_scores_gemma":[0.9979303,0.0009735732,0.00046019757,0.000121014,0.00026478182,0.0002501719],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015458151,0.0001944468,0.00033043235,0.0009303174,0.0025716263,0.0013469934,0.00058689906,0.0007426345,0.0009665144],"category_scores_gemma":[0.0036670344,0.00018409728,0.00028700178,0.0016350214,0.0026682483,0.0008689935,0.0018482333,0.0006835861,0.00004751973],"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":[0.00011870489,0.0006419905,0.7836382,0.00042456717,0.00014778558,0.036518514,0.10943924,0.0042204573,0.0027644616,0.017808747,0.002315131,0.041962188],"study_design_scores_gemma":[0.000039783128,0.00040968377,0.65557224,0.0005472484,0.00014842092,0.004873225,0.30820528,0.0076274094,0.001319438,0.005130015,0.016060488,0.00006671646],"about_ca_topic_score_codex":0.15239437,"about_ca_topic_score_gemma":0.2628798,"teacher_disagreement_score":0.15239437,"about_ca_system_score_codex":0.0050509395,"about_ca_system_score_gemma":0.0032960079,"threshold_uncertainty_score":0.30301464},"labels":[],"label_agreement":null},{"id":"W2388530134","doi":"10.5194/piahs-373-13-2016","title":"Quantification of resilience to water scarcity, a dynamic measure in time and space","year":2016,"lang":"en","type":"article","venue":"Proceedings of the International Association of Hydrological Sciences","topic":"Water resources management and optimization","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Water scarcity; Scarcity; Resilience (materials science); Environmental resource management; Climate change; Natural resource economics; Context (archaeology); Population; Water resources; Sustainable development; Business; Risk analysis (engineering); Environmental planning; Environmental science; Economics; Geography; Ecology","score_opus":0.008053719137641238,"score_gpt":0.2043731277602884,"score_spread":0.19631940862264716,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2388530134","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":[0.15348771,0.0042725345,0.8077685,0.0022816313,0.0004879999,0.00016850741,0.0015843151,0.00042986238,0.029519008],"genre_scores_gemma":[0.9705997,0.0008893935,0.025997205,0.000080286314,0.00012679568,0.00013022212,0.0002696362,0.000036835587,0.0018698504],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9979146,0.00064389687,0.00017152407,0.00055500347,0.00051504775,0.00019988813],"domain_scores_gemma":[0.9966696,0.0013990345,0.0009908141,0.00034304569,0.00041074073,0.00018678856],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019267979,0.0007482636,0.00063888816,0.0027888268,0.0005909497,0.001966741,0.00090106035,0.0009479025,0.002341],"category_scores_gemma":[0.006191294,0.00021631994,0.0007923394,0.0024619177,0.0026033327,0.004339126,0.002671528,0.001054583,0.00024963968],"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":[0.000105593994,0.00007118078,0.021167561,0.0006342135,0.0003993316,0.00042721382,0.001001973,0.4608611,0.009106662,0.43033966,0.00344823,0.07243729],"study_design_scores_gemma":[0.000011150998,0.00031380326,0.030444946,0.0003513656,0.00018408406,0.0006322573,0.0015081934,0.49583283,0.0034563988,0.44576326,0.021302482,0.00019930056],"about_ca_topic_score_codex":0.0025765158,"about_ca_topic_score_gemma":0.0013134611,"teacher_disagreement_score":0.0027888268,"about_ca_system_score_codex":0.0019235535,"about_ca_system_score_gemma":0.0009119857,"threshold_uncertainty_score":0.013956368},"labels":[],"label_agreement":null},{"id":"W2806310774","doi":"10.5194/piahs-379-43-2018","title":"Centralized versus distributed reservoirs: an investigation of their implications on environmental flows and sustainable water resources management","year":2018,"lang":"en","type":"article","venue":"Proceedings of the International Association of Hydrological Sciences","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"United Nations University Institute for Water, Environment, and Health","funders":"Consortium of International Agricultural Research Centers","keywords":"Structural basin; Surface runoff; Environmental science; Hydrology (agriculture); Water storage; Drainage basin; Water resource management; Water resources; Drainage; Surface water; Ecosystem; Environmental engineering; Geography; Geology; Ecology","score_opus":0.014645842973244595,"score_gpt":0.2289951857797683,"score_spread":0.2143493428065237,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2806310774","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":[0.97076786,0.0006690629,0.0026309912,0.0011026928,0.000016832435,0.000045161254,0.00011708085,0.000008508895,0.024641857],"genre_scores_gemma":[0.9992023,0.00013822246,0.00020660242,0.000015454654,0.0000057654242,0.0000057560624,0.000008786193,0.0000014061407,0.0004158513],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990151,0.0006136771,0.000021615044,0.000071898445,0.00014513556,0.00013261898],"domain_scores_gemma":[0.9929254,0.0052775065,0.00067353505,0.00011667006,0.0007554274,0.00025147985],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018067447,0.00017661777,0.00032649367,0.00090582407,0.0005492789,0.0021809195,0.0005482346,0.00045324274,0.0052625146],"category_scores_gemma":[0.0055003515,0.00012998856,0.0003632786,0.0016291987,0.0016257687,0.0018224118,0.0011786725,0.00055322377,0.00010173456],"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":[0.0009045415,0.00056589354,0.3821934,0.0006166558,0.00042044854,0.0031776975,0.0017820825,0.24665745,0.004318124,0.2569958,0.0035774135,0.09879064],"study_design_scores_gemma":[0.00016295287,0.0015813384,0.4648881,0.0004005432,0.00072907924,0.00066628563,0.03843027,0.35047653,0.003292478,0.12789805,0.011360506,0.00011389121],"about_ca_topic_score_codex":0.006534276,"about_ca_topic_score_gemma":0.013987972,"teacher_disagreement_score":0.006534276,"about_ca_system_score_codex":0.002397739,"about_ca_system_score_gemma":0.00091035484,"threshold_uncertainty_score":0.017604887},"labels":[],"label_agreement":null},{"id":"W2806950789","doi":"10.5194/piahs-378-29-2018","title":"Spatio-temporal variations of hydrochemical and isotopic patterns of groundwater in hand-dug wells: the Cuvelai-Etosha Basin, Namibia","year":2018,"lang":"en","type":"article","venue":"Proceedings of the International Association of Hydrological Sciences","topic":"Groundwater and Isotope Geochemistry","field":"Earth and Planetary Sciences","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":"Global Institute for Water Security; University of Saskatchewan","funders":"University of Namibia; Bundesministerium für Bildung und Forschung","keywords":"Aquifer; Groundwater recharge; Groundwater; Water table; Structural basin; Geology; Hydrology (agriculture); Population; Environmental isotopes; Geomorphology","score_opus":0.010202176939203837,"score_gpt":0.20884602066048238,"score_spread":0.19864384372127855,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2806950789","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":[0.99925214,0.00008829997,0.000050266248,0.0000231477,0.0000010407186,0.000003879216,0.00020719579,0.0000024040517,0.00037162297],"genre_scores_gemma":[0.9995221,0.00005721916,0.00009887659,0.000007808959,0.0000010450293,0.0000090378835,0.00011918812,8.079482e-7,0.00018393122],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9999192,0.000015547268,0.000005530443,0.000020325631,0.000012670484,0.00002684181],"domain_scores_gemma":[0.9998565,0.000028001668,0.000054950026,0.0000067142637,0.00002854075,0.000025397816],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000150415,0.00015831224,0.00019396332,0.0007413614,0.0005046028,0.0004642303,0.00022230949,0.00030759582,0.00083540066],"category_scores_gemma":[0.00029341926,0.00015807374,0.000114640025,0.0016181784,0.0003574554,0.00031715602,0.0003447804,0.00013046378,0.000077284094],"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":[0.00023365453,0.000075262826,0.9661867,0.00009418842,0.00006523781,0.0008374811,0.003492145,0.00027954386,0.015793053,0.00014703053,0.00018673565,0.012609039],"study_design_scores_gemma":[0.0000040698374,0.000018487906,0.99489367,0.000013884275,0.000012916021,0.00012862311,0.0034549544,0.00037376952,0.00057988195,0.00002906138,0.0004848393,0.000005807356],"about_ca_topic_score_codex":0.0986008,"about_ca_topic_score_gemma":0.24928856,"teacher_disagreement_score":0.0986008,"about_ca_system_score_codex":0.0010898443,"about_ca_system_score_gemma":0.00044260686,"threshold_uncertainty_score":0.19605374},"labels":[],"label_agreement":null},{"id":"W2966080328","doi":"10.5194/piahs-381-1-2019","title":"Preface: Land use and climate change impacts on erosion and sediment transport","year":2019,"lang":"en","type":"article","venue":"Proceedings of the International Association of Hydrological Sciences","topic":"Soil erosion and sediment transport","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":"University of Waterloo","funders":"Biotechnology and Biological Sciences Research Council; Russian Foundation for Basic Research","keywords":"Erosion; Sediment transport; Sediment; Environmental science; Climate change; Hydrology (agriculture); Land use, land-use change and forestry; Land use; Physical geography; Geography; Geology; Oceanography; Geomorphology; Geotechnical engineering; Engineering; Civil engineering","score_opus":0.02806616451478824,"score_gpt":0.230055449629815,"score_spread":0.20198928511502676,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2966080328","genre_codex":"editorial","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":[0.00085426716,0.011073621,0.0011199078,0.052651264,0.90304023,0.00022130231,0.0027945358,0.00021606272,0.028028922],"genre_scores_gemma":[0.012134231,0.018138504,0.0009612157,0.023942,0.6335615,0.00033073127,0.0034929772,0.00031088418,0.30712804],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9996377,0.000049978036,0.000051804356,0.00007435458,0.00014645608,0.000039649876],"domain_scores_gemma":[0.99326843,0.0012760521,0.00023386648,0.00028910895,0.0038457094,0.0010867667],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013211734,0.0013007462,0.0010422732,0.002570269,0.0022574328,0.0023569828,0.00167074,0.0031538324,0.08449956],"category_scores_gemma":[0.0055783936,0.0003161396,0.00095237495,0.0020607696,0.0005185681,0.0018718321,0.0014616728,0.004175989,0.034529563],"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":[0.000039709754,0.0000322806,0.00015169887,0.00017830043,0.0000037713132,0.000059553844,0.000019818357,0.00010676168,0.00024245065,0.0003932556,0.98773193,0.01104056],"study_design_scores_gemma":[0.00003620035,0.000077817815,0.006998997,0.00029236238,0.000013715948,0.00008139015,0.00016842234,0.0003199345,0.00031398257,0.0022211235,0.9894527,0.000023232984],"about_ca_topic_score_codex":0.01058603,"about_ca_topic_score_gemma":0.012590941,"teacher_disagreement_score":0.08449956,"about_ca_system_score_codex":0.0012622885,"about_ca_system_score_gemma":0.0015574204,"threshold_uncertainty_score":0.2826792},"labels":[],"label_agreement":null},{"id":"W4394918548","doi":"10.5194/piahs-385-267-2024","title":"Seasonal precipitation forecasting with large scale climate predictors: a hybrid ensemble empirical mode decomposition-NARX scheme","year":2024,"lang":"en","type":"article","venue":"Proceedings of the International Association of Hydrological Sciences","topic":"Energy Load and Power Forecasting","field":"Engineering","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":"Institut National de la Recherche Scientifique","funders":"","keywords":"Hilbert–Huang transform; Nonlinear autoregressive exogenous model; Climatology; Precipitation; Mode (computer interface); Scale (ratio); Environmental science; Autoregressive model; Decomposition; Econometrics; Meteorology; Statistics; Computer science; Mathematics; Geography; Geology; Ecology","score_opus":0.015217618788485918,"score_gpt":0.28056379746369753,"score_spread":0.2653461786752116,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394918548","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":[0.23151672,0.00069486693,0.76415884,0.00033909339,0.00013825386,0.00006940976,0.00029549844,0.00055770425,0.002229524],"genre_scores_gemma":[0.86399716,0.00027570623,0.13230246,0.000077308796,0.0000640354,0.000096131,0.0005060057,0.000025643476,0.0026554049],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998425,0.000058172416,0.00001429309,0.00003350793,0.00003436299,0.000017152512],"domain_scores_gemma":[0.9997627,0.00007690252,0.00002769724,0.000026011508,0.00009171528,0.000014926558],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000649862,0.000520752,0.00053007156,0.00023751953,0.0002650728,0.0004288304,0.00059864967,0.00045347202,0.0011445562],"category_scores_gemma":[0.00095037813,0.00021796548,0.00044530525,0.0003199244,0.00012139073,0.0005512081,0.0004070404,0.0006074989,0.00026103598],"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":[0.00016738802,0.00010633581,0.0049088174,0.00005637045,0.00013657981,0.00011828172,0.00009276614,0.8107738,0.0060162586,0.0016831475,0.0013864287,0.17455374],"study_design_scores_gemma":[0.00000205779,0.0000093614535,0.00028692407,0.0000017427435,0.0000035519467,0.0000024631718,0.0000026519233,0.9992964,0.00016526139,0.000119236116,0.00010853021,0.0000018497245],"about_ca_topic_score_codex":0.007115807,"about_ca_topic_score_gemma":0.007944437,"teacher_disagreement_score":0.007115807,"about_ca_system_score_codex":0.0002341818,"about_ca_system_score_gemma":0.0004546166,"threshold_uncertainty_score":0.014148772},"labels":[],"label_agreement":null}]}