{"meta":{"query_hash":"10de66863441","filters":{"venue":"Water Resources Research"},"cohort_total":1141,"direct_labels_cover":0,"predictions_cover":1141,"exported":1141,"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/10de66863441","api":"https://metacan.xera.ac/api/v1/cohort?venue=Water+Resources+Research"},"results":[{"id":"W1483056563","doi":"10.1029/2006wr005580","title":"Conditioned backward probability modeling to identify sources of groundwater contaminants subject to sorption and decay","year":2007,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Groundwater flow and contamination studies","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":"Bank of Canada","funders":"","keywords":"Contamination; Sorption; Plume; Probability density function; Environmental science; Soil science; Applied mathematics; Mathematics; Statistics; Thermodynamics; Physics; Chemistry","score_opus":0.059519813018616086,"score_gpt":0.34231037581847823,"score_spread":0.28279056279986214,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1483056563","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98157877,0.00002165592,0.016472304,0.0004331159,0.00004897782,0.0007494401,0.000005312407,0.000030276295,0.0006601221],"genre_scores_gemma":[0.9965453,0.000003625967,0.000252874,0.00007850841,0.000042978154,0.0000734435,0.000007812591,0.000018918267,0.0029765484],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9969383,0.00025011742,0.0004479332,0.0005759381,0.0010229513,0.0007647866],"domain_scores_gemma":[0.9991468,0.000115653165,0.000030896066,0.00031290192,0.00013406249,0.00025968463],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0039513186,0.00017449779,0.00025910887,0.00029287173,0.00042335398,0.00013982561,0.00032001708,0.00008265768,0.00038057563],"category_scores_gemma":[0.000060112838,0.00012412672,0.00005096735,0.00036240375,0.00031030073,0.00024905452,0.00086280215,0.00017952277,0.0006100374],"study_design_candidate":"bench_or_experimental","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":[0.00077957753,0.00031276952,0.2666843,0.0001380404,0.00006539677,0.00003117945,0.07403009,0.0017755592,0.62604153,0.000054375563,0.00036778217,0.029719446],"study_design_scores_gemma":[0.0010849785,0.0009267004,0.49373794,0.000104853454,0.000024071907,0.00002118423,0.0067190723,0.0010453094,0.47110167,0.0010134078,0.02364654,0.0005742837],"about_ca_topic_score_codex":0.0029881394,"about_ca_topic_score_gemma":0.0020523644,"teacher_disagreement_score":0.22705366,"about_ca_system_score_codex":0.00018759035,"about_ca_system_score_gemma":0.0000040811915,"threshold_uncertainty_score":0.78410006},"labels":[],"label_agreement":null},{"id":"W1483631001","doi":"10.1029/2009wr008747","title":"Attenuation of in situ UV radiation in Mackenzie Delta lakes with varying dissolved organic matter compositions","year":2010,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":42,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Vancouver Island University; Simon Fraser University","funders":"","keywords":"Colored dissolved organic matter; Dissolved organic carbon; Delta; Environmental chemistry; Macrophyte; Attenuation; Water column; Environmental science; Organic matter; Spectral slope; River delta; Chemistry; Oceanography; Nutrient; Phytoplankton; Geology; Spectral line","score_opus":0.018739085627761762,"score_gpt":0.2511597007638649,"score_spread":0.23242061513610313,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1483631001","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99196714,0.00002120365,0.000012294204,0.00048668965,0.000028798737,0.00024168119,0.000028619972,0.000008106935,0.007205471],"genre_scores_gemma":[0.9992116,0.000005059933,0.00005542791,0.000020671612,0.000046493216,0.0000057572415,0.00044201865,0.000004888068,0.00020806298],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986556,0.00019007627,0.00023274551,0.00019886186,0.0003831603,0.00033952578],"domain_scores_gemma":[0.99955976,0.00010742827,0.00003086129,0.00017965696,0.000059998845,0.0000623126],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00074589317,0.000077805904,0.00013470692,0.00036639822,0.00009086954,0.00006658205,0.00018501058,0.00005802642,0.0020298695],"category_scores_gemma":[0.000014573281,0.0000519971,0.000016708314,0.00040240164,0.00007891328,0.00018128513,0.000033188546,0.00035195576,0.00017163178],"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":[0.00010338524,0.00003114749,0.9665591,0.000047171816,0.000004962318,0.000014208921,0.0019860226,0.00038673973,0.027826998,0.0000037130972,0.00003971848,0.002996817],"study_design_scores_gemma":[0.0005764098,0.00013660343,0.9744629,0.000058269365,0.0000028343618,0.000011398283,0.0003204634,0.0066920123,0.015868902,0.00014852863,0.0015953166,0.00012631442],"about_ca_topic_score_codex":0.016752252,"about_ca_topic_score_gemma":0.1854763,"teacher_disagreement_score":0.16872405,"about_ca_system_score_codex":0.000006376886,"about_ca_system_score_gemma":0.000017905226,"threshold_uncertainty_score":0.9988824},"labels":[],"label_agreement":null},{"id":"W1485785177","doi":"10.1029/2007wr005949","title":"Calibration of hydrological model GR2M using Bayesian uncertainty analysis","year":2008,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":111,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Calibration; Bayesian probability; Prior probability; Uncertainty analysis; A priori and a posteriori; Hydrological modelling; Errors-in-variables models; Sensitivity analysis; Computer science; Observational error; Bayesian inference; Propagation of uncertainty; Uncertainty quantification; Econometrics; Statistics; Mathematics; Algorithm; Machine learning","score_opus":0.07728376415856787,"score_gpt":0.3147638711050932,"score_spread":0.23748010694652533,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1485785177","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98851013,0.000012129415,0.005983335,0.0004786553,0.00000723619,0.00014667997,0.0000027398876,0.0000222656,0.004836805],"genre_scores_gemma":[0.997948,0.000020341791,0.00049276324,0.000066592445,0.00001628567,0.000012373188,0.0000109391995,0.000006917223,0.0014257865],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9980117,0.00031389392,0.00022646798,0.00035253586,0.00059928774,0.000496087],"domain_scores_gemma":[0.99956113,0.000042678217,0.000029333338,0.00027641878,0.000015213526,0.00007520991],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00089535187,0.000104073224,0.00022179703,0.00023471276,0.0005278382,0.000012265255,0.0003075407,0.000088384826,0.0008789907],"category_scores_gemma":[0.000022596154,0.000066065506,0.000095323485,0.00057558774,0.0010190307,0.00012144577,0.00064973935,0.00019694735,0.000047609035],"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":[0.00007092053,0.00006365588,0.15199271,0.000005754559,0.00012408324,0.000022929653,0.004371165,0.83681947,0.006211673,0.000013843551,0.0002544558,0.000049328384],"study_design_scores_gemma":[0.0001552709,0.00007493789,0.005203777,0.000001705002,0.000051233823,0.000002182103,0.000085620595,0.98889947,0.003504456,0.0011080919,0.000815577,0.00009770412],"about_ca_topic_score_codex":0.0014607036,"about_ca_topic_score_gemma":0.00014001904,"teacher_disagreement_score":0.15207995,"about_ca_system_score_codex":0.00006717631,"about_ca_system_score_gemma":0.0000028119725,"threshold_uncertainty_score":0.96243316},"labels":[],"label_agreement":null},{"id":"W1486128077","doi":"10.1029/2006wr005736","title":"Analytical and numerical analyses of an unconfined aquifer test considering unsaturated zone characteristics","year":2008,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Soil and Unsaturated Flow","field":"Engineering","cited_by":46,"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":"Aquifer; Piezometer; Hydraulic conductivity; Capillary fringe; Vadose zone; Geology; Drawdown (hydrology); Aquifer test; Geotechnical engineering; Pressure head; Soil science; Water content; Exponential function; Moisture; Hydrology (agriculture); Soil water; Mathematics; Groundwater; Groundwater recharge; Thermodynamics; Materials science","score_opus":0.0826765526702874,"score_gpt":0.3258670346102324,"score_spread":0.24319048193994502,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1486128077","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9983497,0.00016956417,0.000094100076,0.00008278916,0.000039832314,0.00010887211,0.000018358907,0.00014417942,0.0009925795],"genre_scores_gemma":[0.999038,0.00007981584,0.0002467908,0.0000137593515,0.0001230512,0.000008388896,0.00004490508,0.00004150599,0.00040380933],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99809295,0.00013421262,0.0003782348,0.00028997325,0.00050468196,0.0005999482],"domain_scores_gemma":[0.9988799,0.00028205375,0.000018367611,0.0003248053,0.00022230655,0.0002725494],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032880055,0.00019788447,0.00039492745,0.00036135575,0.00017018995,0.000073093855,0.00019908466,0.00015866685,0.00014867615],"category_scores_gemma":[0.00016586964,0.00013934459,0.000048000195,0.00051065854,0.0004351852,0.00012295134,0.00009612391,0.00056449836,0.00003512443],"study_design_candidate":"bench_or_experimental","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":[0.0005054942,0.0004504824,0.07051274,0.00048170937,0.00060024566,0.0016293149,0.011157808,0.0041934894,0.89742386,0.000036680813,0.0011782829,0.011829864],"study_design_scores_gemma":[0.0013396097,0.0006090399,0.08221308,0.00010303351,0.00006393907,0.0003646589,0.0006174312,0.5111254,0.3886593,0.000043731023,0.014171386,0.0006894184],"about_ca_topic_score_codex":0.00022076123,"about_ca_topic_score_gemma":0.00000713718,"teacher_disagreement_score":0.50876456,"about_ca_system_score_codex":0.000031656276,"about_ca_system_score_gemma":0.000018367766,"threshold_uncertainty_score":0.5682307},"labels":[],"label_agreement":null},{"id":"W1486258764","doi":"10.1002/wrcr.20321","title":"Paleohydrogeology of the Cretaceous sediments of the Williston Basin using stable isotopes of water","year":2013,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Groundwater and Isotope Geochemistry","field":"Earth and Planetary Sciences","cited_by":82,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Queen's University; University of Saskatchewan","funders":"Natural Sciences and Engineering Research Council of Canada; Mosaic Company","keywords":"Geology; Aquifer; Groundwater recharge; Groundwater; Structural basin; Sedimentary rock; Geomorphology; Groundwater flow; Outcrop; Glacial period; Hydrogeology; Geochemistry; Cretaceous; Hydrology (agriculture); Paleontology","score_opus":0.0289918444396945,"score_gpt":0.2506489764902827,"score_spread":0.22165713205058823,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1486258764","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99524105,0.00023151998,0.0000015493129,0.00034653468,0.000083358704,0.00037180283,0.00002715897,0.0000041792314,0.0036928793],"genre_scores_gemma":[0.99696445,0.000007733873,0.000030870266,0.0000256142,0.000032969787,0.0000029300404,0.000013078916,0.000005262383,0.002917084],"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9976231,0.00045887617,0.00036095752,0.00022615057,0.0007450648,0.0005858567],"domain_scores_gemma":[0.9990168,0.00007580356,0.00006839051,0.0005698417,0.00020547223,0.00006364557],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008432392,0.00011988276,0.00024287237,0.000081592356,0.00021619642,0.000036015655,0.0009004727,0.00009704832,0.003630798],"category_scores_gemma":[0.000029405746,0.00004673696,0.000108833345,0.00019903388,0.00084552134,0.00011513752,0.00026622592,0.00025966237,0.000052377178],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000040002215,0.000031840686,0.7295696,0.00014929283,0.00003548165,0.000001186438,0.0034542447,0.0008133286,0.26525742,6.434644e-7,0.00014590991,0.0005010711],"study_design_scores_gemma":[0.0001926003,0.00006953654,0.065143175,0.00004878401,0.0000098476585,0.0000095279265,0.00034234065,0.0010791308,0.9218739,0.00040084365,0.010756222,0.00007405592],"about_ca_topic_score_codex":0.018873246,"about_ca_topic_score_gemma":0.0003326228,"teacher_disagreement_score":0.6644264,"about_ca_system_score_codex":0.0000070528517,"about_ca_system_score_gemma":0.000026294172,"threshold_uncertainty_score":0.99728},"labels":[],"label_agreement":null},{"id":"W1486474001","doi":"10.1029/2007wr006132","title":"Temporal evolution of low‐flow regimes in Canadian rivers","year":2008,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":99,"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; Impact; Quebec Rehabilitation Research Network; Institut National de la Recherche Scientifique; Environment and Climate Change Canada","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Resampling; Environmental science; Nonparametric statistics; Flow (mathematics); Climatology; Persistence (discontinuity); Temporal scales; Geography; Trend analysis; Statistics; Geology; Mathematics; Ecology","score_opus":0.025364827651735037,"score_gpt":0.26049982749072104,"score_spread":0.235134999838986,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1486474001","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9633106,0.000040398172,0.0000041303483,0.0010984241,0.000022191258,0.00017293886,0.0000022458307,0.000009521228,0.035339568],"genre_scores_gemma":[0.9933404,0.000028639484,0.000077323886,0.000028620401,0.0000148284935,0.000015354412,0.000004633226,0.0000066007938,0.006483651],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99833643,0.0001965728,0.00014446421,0.0002443876,0.00038443413,0.00069371215],"domain_scores_gemma":[0.9996302,0.000022688606,0.000013532572,0.00020051179,0.000010713038,0.00012235549],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00085936586,0.00007699725,0.00011855303,0.0003129563,0.00031106526,0.0000060616007,0.00028839553,0.000064681626,0.0007577989],"category_scores_gemma":[0.000027755712,0.000056491102,0.000028026448,0.00029411772,0.00093349826,0.000110388646,0.00030362056,0.00019589264,0.00070250494],"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":[0.000044164764,0.00003522331,0.98287493,0.000013181133,0.0000106169255,0.00012267054,0.008607819,0.0025877566,0.00045908656,0.00001574393,0.005038428,0.00019035896],"study_design_scores_gemma":[0.00078977516,0.0002149368,0.75923836,0.000033834636,0.0000041718727,0.000009700742,0.0009301408,0.003026795,0.00433905,0.0015138146,0.22964242,0.0002569941],"about_ca_topic_score_codex":0.55211234,"about_ca_topic_score_gemma":0.22326326,"teacher_disagreement_score":0.3288491,"about_ca_system_score_codex":0.00039086703,"about_ca_system_score_gemma":0.000013376377,"threshold_uncertainty_score":0.9029514},"labels":[],"label_agreement":null},{"id":"W1487063708","doi":"10.1029/2004wr003461","title":"Morphodynamics of small‐scale superimposed sand waves over migrating dune bed forms","year":2005,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Sediment Transport Processes","field":"Environmental Science","cited_by":134,"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","funders":"Natural Sciences and Engineering Research Council of Canada; Agricultural Research Service; U.S. Department of Agriculture","keywords":"Beach morphodynamics; Geology; Bedform; Sediment transport; Sand dune stabilization; Angle of repose; Geomorphology; Fluvial; Length scale; Sediment; Mechanics","score_opus":0.02130644706063804,"score_gpt":0.2750282729708181,"score_spread":0.25372182591018005,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1487063708","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9917141,0.00009004156,0.000038164748,0.0005228552,0.000016651818,0.0002129006,0.000008550761,0.000029012454,0.0073676873],"genre_scores_gemma":[0.99689406,0.0000356211,0.00085684354,0.00007266903,0.00005615521,0.000019661304,0.000028145521,0.0000197918,0.002017056],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9979443,0.0001057936,0.00031562062,0.0003531583,0.00060748716,0.000673654],"domain_scores_gemma":[0.9994669,0.000077540666,0.000029437993,0.0002761403,0.000020302072,0.00012970329],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00097359956,0.00014252738,0.00020137205,0.00010075689,0.0002733969,0.000034829787,0.0004273219,0.00013441742,0.0039601997],"category_scores_gemma":[0.000017668275,0.00009353954,0.00006549278,0.00022515914,0.00064305303,0.00021499502,0.00020759796,0.00033639208,0.00021908064],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002780554,0.00028825758,0.29062524,0.000084391075,0.00003515333,0.000022913417,0.022641355,0.0044731777,0.6772654,0.000011068068,0.00021229664,0.0040627155],"study_design_scores_gemma":[0.001448894,0.00051915494,0.06078952,0.00004947038,0.00002122749,0.000015784399,0.0007632196,0.022397319,0.82348037,0.00058531965,0.08949416,0.00043554767],"about_ca_topic_score_codex":0.0006038556,"about_ca_topic_score_gemma":0.0013629625,"teacher_disagreement_score":0.22983572,"about_ca_system_score_codex":0.000055001492,"about_ca_system_score_gemma":0.00000675549,"threshold_uncertainty_score":0.9969503},"labels":[],"label_agreement":null},{"id":"W1487279079","doi":"10.1029/2009wr007913","title":"Flow resistance in steep streams: An experimental study","year":2010,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Sediment Transport Processes","field":"Environmental Science","cited_by":95,"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 British Columbia","funders":"","keywords":"Dimensionless quantity; Flume; STREAMS; Flow (mathematics); Scaling; Exponent; Hydraulics; Flow velocity; Geometry; Open-channel flow; Geology; Mechanics; Flow conditions; Mathematics; Hydrology (agriculture); Geotechnical engineering; Physics; Thermodynamics; Computer science","score_opus":0.02805873973744282,"score_gpt":0.31825997669525413,"score_spread":0.2902012369578113,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1487279079","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9852194,0.000039790837,0.0000012376837,0.00016679046,0.000049427836,0.00042284996,0.0000025107522,0.0000383436,0.014059637],"genre_scores_gemma":[0.99714154,0.0000021050573,0.00018535451,0.000035058485,0.000053343094,0.00011452647,0.000010730186,0.000018776438,0.00243859],"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99742585,0.00029371824,0.00022652122,0.0005695013,0.00078983215,0.0006945553],"domain_scores_gemma":[0.99929714,0.000042480006,0.000013235261,0.00046533594,0.0000117406735,0.00017007931],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0016203716,0.00013927277,0.0001487791,0.0001258989,0.0003048633,0.00006674243,0.000661599,0.00010967483,0.0081154965],"category_scores_gemma":[0.00001548508,0.0000996704,0.000023266772,0.00027004303,0.0005066171,0.0003298757,0.00020848494,0.00075168844,0.00067828264],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005588086,0.004102072,0.73541164,0.000014373268,0.000012575786,0.00036381793,0.09148828,0.0006589865,0.1656877,0.000014736474,0.00022387368,0.0014631264],"study_design_scores_gemma":[0.005378195,0.0040099244,0.28894415,0.000036261106,0.000015174578,0.000014122099,0.021970376,0.0032140953,0.42151633,0.0016642746,0.25199956,0.0012375268],"about_ca_topic_score_codex":0.0007817438,"about_ca_topic_score_gemma":0.020233124,"teacher_disagreement_score":0.4464675,"about_ca_system_score_codex":0.00005189743,"about_ca_system_score_gemma":0.000006292749,"threshold_uncertainty_score":0.9976451},"labels":[],"label_agreement":null},{"id":"W1487821612","doi":"10.1029/2010wr009632","title":"Effects of wave forcing on a subterranean estuary","year":2010,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Groundwater and Isotope Geochemistry","field":"Earth and Planetary Sciences","cited_by":260,"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":"Submarine groundwater discharge; Geology; Estuary; Forcing (mathematics); Aquifer; Intertidal zone; Plume; Seawater; Oceanography; Groundwater; Wave setup; Kelvin wave; Hydrology (agriculture); Submarine pipeline; Atmospheric sciences; Wave propagation; Geotechnical engineering; Meteorology","score_opus":0.029946557943271137,"score_gpt":0.25911620394481694,"score_spread":0.2291696460015458,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1487821612","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97410905,0.000050453986,0.0000026219614,0.00013965,0.00013193901,0.0002157412,0.000006213956,0.000024206887,0.025320126],"genre_scores_gemma":[0.9975754,0.0000059969293,0.00007659654,0.000036071244,0.00019914239,0.0000037899638,0.000038411803,0.000006272525,0.002058334],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99810374,0.00013465635,0.0001761544,0.0002973196,0.0006568696,0.00063127757],"domain_scores_gemma":[0.99912953,0.00029601707,0.000019361441,0.00032101455,0.00006809218,0.00016595318],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008400698,0.00012271684,0.0001644461,0.00017480039,0.0002149605,0.000090014255,0.0003646312,0.000103815015,0.0014325533],"category_scores_gemma":[0.00007034065,0.00007462457,0.00006449882,0.00014598269,0.00024136028,0.0000873613,0.000054023225,0.00066003297,0.00039915825],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00058383617,0.00015043978,0.18397868,0.0008356588,0.00005927523,0.00032631992,0.0139807025,0.00007902751,0.7310012,0.000023165836,0.00095937034,0.06802234],"study_design_scores_gemma":[0.00045598176,0.00041269578,0.114792414,0.00005528041,0.0000053403687,0.000025543552,0.00019105867,0.0010501329,0.86197615,0.00070070056,0.02016391,0.00017082399],"about_ca_topic_score_codex":0.0023500426,"about_ca_topic_score_gemma":0.00040658013,"teacher_disagreement_score":0.13097492,"about_ca_system_score_codex":0.0000027325104,"about_ca_system_score_gemma":0.000012051812,"threshold_uncertainty_score":0.99948025},"labels":[],"label_agreement":null},{"id":"W1488838383","doi":"10.1029/2006wr005022","title":"Influence of watershed glacier coverage on summer streamflow in British Columbia, Canada","year":2006,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":202,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Streamflow; Glacier; Precipitation; Climatology; Watershed; Environmental science; Hydrology (agriculture); Drainage basin; Physical geography; Geology; Meteorology; Geography","score_opus":0.020750840357635487,"score_gpt":0.23283294912800165,"score_spread":0.21208210877036615,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1488838383","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9972309,0.00015326576,2.4844996e-7,0.00020538578,0.000029054527,0.00018642686,0.00011551663,0.0000072712487,0.0020719664],"genre_scores_gemma":[0.9955567,0.000036180692,0.00001338474,0.0000865979,0.000049268827,0.000004156884,0.00009571066,0.000004179956,0.0041538184],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9980489,0.00013025397,0.000258302,0.0002602948,0.000726787,0.0005754427],"domain_scores_gemma":[0.99944025,0.0001684413,0.000022237826,0.00019214893,0.0001079687,0.000068950314],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004346004,0.00006977984,0.0001675473,0.00003972623,0.00024208124,0.00016104642,0.00026341973,0.00004399137,0.0013578789],"category_scores_gemma":[0.00003972266,0.00007102963,0.000026739915,0.00035754844,0.00015455285,0.0000794176,0.000039269544,0.0002154881,0.00003062847],"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":[0.000017076325,0.000024990997,0.96342975,0.000018429746,0.0000060403736,0.0000695102,0.00023077769,0.030925568,0.000058212398,4.9535134e-7,0.0032511333,0.0019680301],"study_design_scores_gemma":[0.00023910898,0.000070437774,0.9190658,0.00002844626,0.0000011830969,0.0000016374922,0.00023067973,0.00029144413,0.00015707055,0.00009662901,0.07972823,0.00008934979],"about_ca_topic_score_codex":0.9987038,"about_ca_topic_score_gemma":0.9995872,"teacher_disagreement_score":0.076477095,"about_ca_system_score_codex":0.00002984054,"about_ca_system_score_gemma":0.00006310833,"threshold_uncertainty_score":0.999555},"labels":[],"label_agreement":null},{"id":"W1488881958","doi":"10.1029/2010wr010228","title":"Surface storage dynamics in large rivers: Comparing three‐dimensional particle transport, one‐dimensional fractional derivative, and multirate transient storage models","year":2011,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Soil and Water Nutrient Dynamics","field":"Environmental Science","cited_by":49,"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":"Sediment transport; Hydrology (agriculture); Meander (mathematics); Environmental science; Soil science; Mechanics; Geology; Sediment; Mathematics; Physics; Geotechnical engineering; Geometry; Geomorphology","score_opus":0.07577228713390305,"score_gpt":0.2709054938264252,"score_spread":0.19513320669252215,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1488881958","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99726313,0.000056670582,0.0007328472,0.00015669096,0.000048107788,0.0004322873,0.000029546154,0.000043794713,0.0012369261],"genre_scores_gemma":[0.9985386,0.000010865749,0.0010193564,0.000039750423,0.000018937651,0.000026711485,0.000051759616,0.00003617623,0.00025785292],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9958426,0.00039838642,0.00039198686,0.00074894447,0.0014672453,0.001150871],"domain_scores_gemma":[0.99916077,0.00012514772,0.000040262585,0.00030973754,0.000067481786,0.0002965749],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019483914,0.00024274718,0.00029132125,0.00016147096,0.00058185577,0.0000499403,0.00034778414,0.00014708092,0.0003467045],"category_scores_gemma":[0.000009096502,0.00019794873,0.00006275481,0.00042552676,0.000758378,0.00058059517,0.00041181906,0.0008348333,0.00013913149],"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":[0.0006449988,0.00088012475,0.82742757,0.000023032066,0.000030057294,0.00013412711,0.014871217,0.15406291,0.0015001926,0.00024304878,0.000033706685,0.00014901269],"study_design_scores_gemma":[0.0013691046,0.00012399169,0.25772038,0.00004233187,0.000006982009,0.000007696841,0.0005301259,0.73338795,0.00085845665,0.005359997,0.00033280315,0.00026017122],"about_ca_topic_score_codex":0.0046331305,"about_ca_topic_score_gemma":0.0027952187,"teacher_disagreement_score":0.579325,"about_ca_system_score_codex":0.0005293276,"about_ca_system_score_gemma":0.000014055481,"threshold_uncertainty_score":0.80721146},"labels":[],"label_agreement":null},{"id":"W1489815246","doi":"10.1002/wrcr.20278","title":"Peat properties and water retention in boreal forested peatlands subject to wildfire","year":2013,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Peatlands and Wetlands Ecology","field":"Environmental Science","cited_by":65,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McMaster University; Natural Resources Canada; Canadian Forest Service","funders":"","keywords":"Peat; Environmental science; Boreal; Sphagnum; Water table; Hydrology (agriculture); Water retention; Moisture; Climate change; Soil science; Soil water; Geology; Groundwater; Ecology; Chemistry; Oceanography","score_opus":0.03997258152095162,"score_gpt":0.2620900932924559,"score_spread":0.2221175117715043,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1489815246","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9873657,0.000025559712,0.000001598504,0.0024414835,0.000020516625,0.00060442544,0.0000012337124,0.000026916237,0.009512549],"genre_scores_gemma":[0.9918897,0.000019986,0.000028742901,0.00008962834,0.000054401105,0.000223295,0.00005153821,0.000018939416,0.007623734],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99764913,0.00026742046,0.00022489908,0.00045926156,0.00045752092,0.0009417777],"domain_scores_gemma":[0.9994913,0.000025242347,0.000009683459,0.00025411122,0.00001624423,0.00020345714],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00093540596,0.00014451481,0.00018619746,0.00021362472,0.00024212322,0.00018662288,0.00027909232,0.00010708386,0.0008656665],"category_scores_gemma":[0.000026933165,0.00007316263,0.000029570967,0.00017344466,0.00025931207,0.00022839227,0.00070501585,0.00026873773,0.0008649676],"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":[0.00014744364,0.000054927987,0.9078678,0.000020864358,0.0000070673354,0.000032691372,0.010827679,0.00003350125,0.07382159,0.0000013297034,0.0028205558,0.0043645343],"study_design_scores_gemma":[0.0006691584,0.0004968803,0.9479375,0.00003261717,0.0000029548467,0.0000228854,0.0005105744,0.00093081925,0.014514103,0.0003611064,0.034306116,0.00021526858],"about_ca_topic_score_codex":0.013899843,"about_ca_topic_score_gemma":0.0031135087,"teacher_disagreement_score":0.05930749,"about_ca_system_score_codex":0.00010922632,"about_ca_system_score_gemma":0.000002880884,"threshold_uncertainty_score":0.999913},"labels":[],"label_agreement":null},{"id":"W1490048247","doi":"10.1029/2007wr005869","title":"Efficient prediction uncertainty approximation in the calibration of environmental simulation models","year":2008,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":76,"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":"Natural Sciences and Engineering Research Council of Canada; New York State Department of Environmental Conservation; National Science Foundation","keywords":"Calibration; Environmental science; Computer science; Econometrics; Applied mathematics; Statistics; Mathematics","score_opus":0.04666420180208909,"score_gpt":0.2730165780014833,"score_spread":0.22635237619939425,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1490048247","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9951676,0.000012784232,0.0012622038,0.0003251309,0.000013245806,0.00043296855,0.00000460621,0.000010767939,0.0027706719],"genre_scores_gemma":[0.99962366,0.000014041132,0.000030319567,0.000030286383,0.000017546197,0.000049560917,0.000022341228,0.000004954318,0.0002073003],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9982724,0.0004064145,0.00019944979,0.000207387,0.0006553183,0.00025898273],"domain_scores_gemma":[0.99969244,0.00007833024,0.000025355746,0.00018074785,0.0000039822144,0.000019137697],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012261263,0.00007002809,0.000078474746,0.00010077472,0.00032796102,0.00000960932,0.00018899301,0.000050203264,0.00016742994],"category_scores_gemma":[0.000012055627,0.00004072782,0.000024816221,0.00016403406,0.00046337655,0.00010841072,0.00019282247,0.00015514542,0.000045070134],"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":[0.000054484164,0.00011606762,0.017944762,0.000006063668,0.0000043605874,0.000003144987,0.026110394,0.9532392,0.002220342,0.000015121686,0.00006626062,0.00021978997],"study_design_scores_gemma":[0.00023802531,0.00007709087,0.03243053,0.0000037974028,0.0000027615224,0.000001430682,0.00072548323,0.96418107,0.0008737606,0.0007491283,0.00067115505,0.00004579219],"about_ca_topic_score_codex":0.00024224802,"about_ca_topic_score_gemma":0.000019763555,"teacher_disagreement_score":0.02538491,"about_ca_system_score_codex":0.000091176225,"about_ca_system_score_gemma":0.0000011289533,"threshold_uncertainty_score":0.2522444},"labels":[],"label_agreement":null},{"id":"W1490837994","doi":"10.1029/2006wr005272","title":"Hydrodynamics of a forced riffle pool in a gravel bed river: 1. Mean velocity and turbulence intensity","year":2007,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Sediment Transport Processes","field":"Environmental Science","cited_by":125,"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 Montréal","funders":"","keywords":"Turbulence; Thalweg; Riffle; Geology; Mean flow; Mechanics; Turbulence kinetic energy; Entrainment (biomusicology); Hydrology (agriculture); Sediment; Geomorphology; Geotechnical engineering; STREAMS; Physics","score_opus":0.020773289398294693,"score_gpt":0.27668179909009266,"score_spread":0.25590850969179796,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1490837994","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99771684,0.000037433714,0.00013857296,0.00018090277,0.000013336097,0.00022873998,0.00000361901,0.000015969514,0.0016645759],"genre_scores_gemma":[0.9993719,0.00003315784,0.00019814596,0.000046841073,0.0000101306605,0.0000062944896,0.000007117918,0.000009407742,0.00031700713],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9981064,0.00009043115,0.00026929862,0.00037620848,0.00053744967,0.00062021316],"domain_scores_gemma":[0.9995164,0.00009036625,0.000028297503,0.00020856064,0.000029655977,0.0001267207],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002419016,0.0001158906,0.0002049223,0.0001661842,0.00015332627,0.000012529738,0.00032737516,0.00012831527,0.0002673418],"category_scores_gemma":[0.000040772127,0.00008603809,0.000030094801,0.0003185934,0.0012336414,0.00012554141,0.00029449165,0.00041770603,0.000055342123],"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":[0.0014292775,0.00031143668,0.7975462,0.00014930505,0.000027849599,0.0002122021,0.073916286,0.0013225224,0.12087663,0.000047457946,0.000051134324,0.004109684],"study_design_scores_gemma":[0.0020324765,0.000642166,0.64622676,0.00010048285,0.000019166264,0.000038015918,0.0015421202,0.023630964,0.31542182,0.0055091465,0.0043219207,0.0005149842],"about_ca_topic_score_codex":0.0023995393,"about_ca_topic_score_gemma":0.0027472684,"teacher_disagreement_score":0.1945452,"about_ca_system_score_codex":0.00007634262,"about_ca_system_score_gemma":0.0000054806387,"threshold_uncertainty_score":0.4545403},"labels":[],"label_agreement":null},{"id":"W1491632471","doi":"10.1029/2007wr006039","title":"Simulating the dissolution of a complex dense nonaqueous phase liquid source zone: 2. Experimental validation of an interfacial area–based mass transfer model","year":2007,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Groundwater flow and contamination studies","field":"Environmental Science","cited_by":41,"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":"Mass transfer; Saturation (graph theory); Dissolution; Péclet number; Multiphase flow; Residual; Porous medium; Thermodynamics; Mass transfer coefficient; Mechanics; Chemistry; Porosity; Geotechnical engineering; Geology; Physics; Mathematics","score_opus":0.07998343829783629,"score_gpt":0.35595085611653476,"score_spread":0.2759674178186985,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1491632471","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8005566,0.000013198206,0.19877526,0.00006905568,0.000011687835,0.0002941313,0.00000974532,0.000015970862,0.0002543262],"genre_scores_gemma":[0.9989904,5.153991e-7,0.00027117025,0.000021810718,0.000024976802,0.000023369254,0.000031032323,0.000017020795,0.00061971473],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99762785,0.00028225515,0.00040501243,0.0002831723,0.0009621157,0.00043956132],"domain_scores_gemma":[0.999417,0.00012375959,0.000040878924,0.0002665953,0.0000719791,0.00007979942],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016732186,0.00013584942,0.0001781462,0.00012009863,0.0003599235,0.00004020142,0.00033531248,0.000059448714,0.00030986426],"category_scores_gemma":[0.000019926265,0.00008693122,0.00007201254,0.00019260262,0.0006023362,0.000172153,0.00016849175,0.00017043334,0.000015935102],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011667764,0.00034899233,0.00055543904,0.000013751245,0.000013972228,0.0000034956124,0.028489918,0.06413878,0.8996866,0.0000038444846,0.000007542161,0.005570921],"study_design_scores_gemma":[0.00088529673,0.0006152119,0.0002878985,0.000013224328,0.0000074989625,0.0000014520314,0.0028828909,0.2385667,0.75545734,0.000008782739,0.0011793739,0.00009434157],"about_ca_topic_score_codex":0.0005204556,"about_ca_topic_score_gemma":0.00010110901,"teacher_disagreement_score":0.1985041,"about_ca_system_score_codex":0.00013129147,"about_ca_system_score_gemma":0.00000573905,"threshold_uncertainty_score":0.35449523},"labels":[],"label_agreement":null},{"id":"W1492140140","doi":"10.1029/2004wr003322","title":"Drainage basin morphometrics for depressional landscapes","year":2004,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":42,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Natural Resources Canada; Canadian Forest Service; Western University","funders":"Natural Resources Canada; Natural Sciences and Engineering Research Council of Canada","keywords":"Wetland; Hydrology (agriculture); Surface runoff; Environmental science; Drainage basin; Structural basin; Drainage; Geology; Ecology; Geography; Geomorphology","score_opus":0.037561561881949625,"score_gpt":0.3053145721617469,"score_spread":0.26775301027979725,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1492140140","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96132606,0.00005939578,0.00079114916,0.0045242375,0.000051774685,0.00042677528,0.000007079214,0.000045708126,0.032767843],"genre_scores_gemma":[0.9920614,0.000018444716,0.0008725641,0.00021525679,0.00007547775,0.00013998213,0.000015178383,0.000015946545,0.0065857656],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99808264,0.000100060526,0.00013986911,0.00037845454,0.0005737832,0.0007251956],"domain_scores_gemma":[0.9995159,0.00013125666,0.000014448084,0.0002259659,0.000017160908,0.000095251744],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0013209238,0.00011265798,0.00013308195,0.00022165764,0.0006967369,0.000058339425,0.00041497135,0.00007448546,0.0010396623],"category_scores_gemma":[0.000103252154,0.00007056401,0.000058984457,0.00033231164,0.0003202374,0.00012059986,0.0008462331,0.0002013145,0.0011799217],"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":[0.002950716,0.0028544348,0.4865486,0.000603034,0.0007508483,0.00077377545,0.068684965,0.10713304,0.079226926,0.004873339,0.2210149,0.024585415],"study_design_scores_gemma":[0.00139416,0.000258132,0.018077223,0.000015227728,0.00000956717,0.0000048355723,0.00030089583,0.00024162486,0.020642662,0.018696701,0.9401368,0.00022218557],"about_ca_topic_score_codex":0.00026814154,"about_ca_topic_score_gemma":0.000051137195,"teacher_disagreement_score":0.7191219,"about_ca_system_score_codex":0.00009566694,"about_ca_system_score_gemma":0.0000024726712,"threshold_uncertainty_score":0.9998735},"labels":[],"label_agreement":null},{"id":"W1492840752","doi":"10.1002/2012wr013198","title":"Timing, duration, and magnitude of peak annual water-levels during ice breakup in the Mackenzie Delta and the role of river discharge","year":2013,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":43,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bedford Institute of Oceanography; Geological Survey of Canada; University of Alberta; Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Magnitude (astronomy); Breakup; Delta; Duration (music); Hydrology (agriculture); Environmental science; Water discharge; Discharge; Geology; Climatology; Atmospheric sciences; Physical geography; Geography; Drainage basin; Mechanics; Geotechnical engineering; Physics; Cartography","score_opus":0.016026058196511997,"score_gpt":0.24278052221051943,"score_spread":0.22675446401400745,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1492840752","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9973898,0.00018644135,0.000002713533,0.0012391234,0.000009218496,0.0003251583,0.000076879114,0.0000035998087,0.00076704763],"genre_scores_gemma":[0.99942297,0.00008711831,0.000075999815,0.000031731794,0.000036571902,0.0000054073835,0.000039249764,0.0000037009154,0.00029723064],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9982853,0.00041507915,0.0002735463,0.00018056018,0.000458161,0.00038734742],"domain_scores_gemma":[0.9993354,0.00026930327,0.000036494566,0.00019147046,0.00011245311,0.0000548655],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001569182,0.000093851224,0.000150694,0.00010169059,0.00028245873,0.00007998453,0.00033131003,0.000044984055,0.00048541193],"category_scores_gemma":[0.00005129028,0.000037498525,0.000024645402,0.00010114888,0.00093773834,0.00022623164,0.00012461483,0.00024696556,0.000025038997],"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":[0.00033226903,0.000047849768,0.7690302,0.00020505878,0.000043983964,0.000009330412,0.21902658,0.00013864019,0.002886159,0.00013105728,0.00004619864,0.008102637],"study_design_scores_gemma":[0.00087035436,0.00009873422,0.9637611,0.00003876617,0.000011614395,0.00004175794,0.020251919,0.0072528804,0.0030814083,0.0028382482,0.0016420197,0.000111194306],"about_ca_topic_score_codex":0.020958805,"about_ca_topic_score_gemma":0.0012843893,"teacher_disagreement_score":0.19877465,"about_ca_system_score_codex":0.000002461974,"about_ca_system_score_gemma":0.000007452845,"threshold_uncertainty_score":0.9855607},"labels":[],"label_agreement":null},{"id":"W1493192268","doi":"10.1029/2007wr006212","title":"Use of groundwater lifetime expectancy for the performance assessment of a deep geologic radioactive waste repository: 2. Application to a Canadian Shield environment","year":2008,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Groundwater flow and contamination studies","field":"Environmental Science","cited_by":14,"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":"Groundwater; Shield; Geology; Biosphere; Fracture (geology); Radioactive waste; Lineament; Mining engineering; Environmental science; Geotechnical engineering; Petrology; Seismology; Waste management; Engineering","score_opus":0.03755276273167015,"score_gpt":0.2727147963371891,"score_spread":0.23516203360551893,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1493192268","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98772967,0.000039433748,0.009884221,0.0007663717,0.000023127728,0.0010543012,0.0000047610347,0.000006751116,0.0004913586],"genre_scores_gemma":[0.99408185,0.000033225057,0.00067232235,0.000056019977,0.00003672364,0.00076535146,0.000006299432,0.000012766225,0.0043354346],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99810857,0.0001499422,0.0002829413,0.00033558812,0.0006466141,0.00047634175],"domain_scores_gemma":[0.9991686,0.00017788081,0.000053389736,0.0004250527,0.0000499226,0.00012520893],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005837276,0.00012346874,0.000182063,0.00012978021,0.00061794627,0.000029259292,0.00038831276,0.00005514425,0.00013483783],"category_scores_gemma":[0.000015296211,0.00007228846,0.00006156715,0.00015800355,0.00045456472,0.00015164704,0.00029314437,0.00013962536,0.000043066528],"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":[0.00043936944,0.0005085024,0.6050338,0.00011276781,0.00029786673,0.000021632228,0.106435105,0.03224381,0.22248772,0.00005297137,0.0014612926,0.030905152],"study_design_scores_gemma":[0.00078333117,0.0017885659,0.4629572,0.00003455768,0.000047336136,0.000032051714,0.004516334,0.059376463,0.2536734,0.000031343316,0.21628611,0.0004733027],"about_ca_topic_score_codex":0.042300478,"about_ca_topic_score_gemma":0.004872379,"teacher_disagreement_score":0.21482481,"about_ca_system_score_codex":0.00037200016,"about_ca_system_score_gemma":0.000013487916,"threshold_uncertainty_score":0.96407694},"labels":[],"label_agreement":null},{"id":"W1493761704","doi":"10.1029/2006wr004953","title":"Influence of simple fracture intersections with differing aperture on density‐driven immiscible flow: Wetting versus nonwetting flows","year":2006,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Groundwater flow and contamination studies","field":"Environmental Science","cited_by":28,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Wetting; Capillary action; Mechanics; Intersection (aeronautics); Aperture (computer memory); Geotechnical engineering; Flow (mathematics); Materials science; Geology; Composite material; Physics; Engineering; Structural engineering","score_opus":0.01617019143096864,"score_gpt":0.2643674938825503,"score_spread":0.24819730245158167,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1493761704","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99613833,0.000011636461,0.0005508905,0.00044778196,0.000022852973,0.00021738441,0.000004118042,0.00004297515,0.0025640028],"genre_scores_gemma":[0.99774665,0.0000017021277,0.00025774108,0.000063392064,0.00007942583,0.00003739418,0.000013911765,0.000022667105,0.0017770982],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99773633,0.00014540977,0.00023717912,0.00042804828,0.0008682234,0.0005848229],"domain_scores_gemma":[0.99923897,0.0002626946,0.000045448767,0.00031391715,0.000068665955,0.00007030679],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040442697,0.00017912652,0.00019624998,0.00015482854,0.0006637666,0.00009692549,0.00032495105,0.00007708781,0.00019309549],"category_scores_gemma":[0.00005661809,0.00011289825,0.000054043605,0.0003215566,0.0002715426,0.00019419882,0.0004548049,0.00044074815,0.00018672772],"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":[0.0007675617,0.00022334952,0.19763993,0.000079601865,0.00009875708,0.00007362616,0.016807701,0.43671066,0.3408686,0.000010532566,0.00099479,0.00572489],"study_design_scores_gemma":[0.0029985374,0.0013987236,0.5462151,0.00028199644,0.000043254575,0.000023386032,0.004839333,0.027408684,0.20164713,0.000107778695,0.21417385,0.00086224487],"about_ca_topic_score_codex":0.0034027414,"about_ca_topic_score_gemma":0.002383189,"teacher_disagreement_score":0.409302,"about_ca_system_score_codex":0.0001725943,"about_ca_system_score_gemma":0.0000042177394,"threshold_uncertainty_score":0.514395},"labels":[],"label_agreement":null},{"id":"W1495726324","doi":"10.1029/2007wr006192","title":"Shortcomings of linear programming in optimizing river basin allocation","year":2008,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Water resources management and optimization","field":"Engineering","cited_by":32,"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","funders":"","keywords":"Computer science; Linear programming; Convergence (economics); Mathematical optimization; Routing (electronic design automation); Outflow; Process (computing); Iterative and incremental development; Simple (philosophy); Simplex algorithm; Flow (mathematics); Algorithm; Mathematics; Geology","score_opus":0.04611013632361856,"score_gpt":0.2755897659002688,"score_spread":0.22947962957665025,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1495726324","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9941529,0.000113400216,0.0016064483,0.00008764469,0.000033052245,0.00040164765,8.974819e-7,0.0001235779,0.0034804004],"genre_scores_gemma":[0.99183726,0.000112749774,0.006811422,0.000007967812,0.000069038666,0.00004791973,0.000030422396,0.000046242138,0.0010369541],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99821174,0.0001117108,0.0003497285,0.00022962566,0.0005370163,0.00056018116],"domain_scores_gemma":[0.99952835,0.00003845262,0.000018905768,0.00025401806,0.00009383802,0.00006644541],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007740998,0.00013914888,0.0002018027,0.00072268123,0.00013448775,0.000036769914,0.00031216524,0.0000886295,0.000050419083],"category_scores_gemma":[0.000021593158,0.00011487127,0.00005034344,0.00050860917,0.00017592352,0.00020787303,0.00015854303,0.00030727568,0.000045736502],"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":[0.00014604148,0.00018550009,0.04003877,0.0006102993,0.00009047932,0.00012736586,0.096875206,0.83351,0.012174421,0.000040785944,0.00077672803,0.015424425],"study_design_scores_gemma":[0.0017958409,0.00020912394,0.013873936,0.00032309018,0.000018420584,0.000019178782,0.0016461969,0.6331201,0.14260918,0.00009577946,0.20555697,0.00073217845],"about_ca_topic_score_codex":0.00024418026,"about_ca_topic_score_gemma":0.000016414462,"teacher_disagreement_score":0.20478025,"about_ca_system_score_codex":0.000081815735,"about_ca_system_score_gemma":0.0000043465625,"threshold_uncertainty_score":0.46843144},"labels":[],"label_agreement":null},{"id":"W1496569816","doi":"10.1029/2007wr006311","title":"Spatial heterogeneity in trophic status of shallow lakes on the Boreal Plain: Influence of hydrologic setting","year":2008,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Aquatic Ecosystems and Phytoplankton Dynamics","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 Alberta; Western University","funders":"Natural Sciences and Engineering Research Council of Canada; Alberta-Pacific Forest Industries; Syncrude; Suncor Energy Incorporated","keywords":"Trophic level; Wetland; Environmental science; Hydrology (agriculture); Drainage basin; Groundwater; Spatial heterogeneity; Surface water; Nutrient; Boreal; Chlorophyll a; Ecology; Geology; Geography; Biology","score_opus":0.03531543783918188,"score_gpt":0.2765250029613676,"score_spread":0.24120956512218572,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1496569816","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99702835,0.000019968364,0.000003266941,0.00013890097,0.000008832753,0.0002801473,0.000022335435,0.0000062005015,0.0024920173],"genre_scores_gemma":[0.9997893,0.00003398043,0.000023599454,0.00002343355,0.00001706125,0.000021322243,0.0000063450366,0.000009128361,0.0000758361],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9974727,0.0005148592,0.00033990561,0.00024928758,0.00078247255,0.00064078666],"domain_scores_gemma":[0.99918205,0.00030269212,0.00007150376,0.0003517473,0.000017938462,0.00007407355],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014163725,0.00010386262,0.00019385757,0.00008165973,0.00015948899,0.000009547129,0.00043030264,0.000074362935,0.00013582215],"category_scores_gemma":[0.0001299694,0.000057289002,0.000045088593,0.00020271505,0.00058359327,0.000049462033,0.00028990352,0.00035000633,0.00005730834],"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":[0.00010865271,0.000073172836,0.9587024,0.000028795888,0.0000072814696,0.000024892304,0.004677419,0.026177226,0.00983192,0.000028822693,0.00001654552,0.00032290438],"study_design_scores_gemma":[0.00035086248,0.00049999246,0.95419514,0.000059454076,0.0000018770496,0.000010512973,0.00021917761,0.028663956,0.013924571,0.00036340824,0.0015875068,0.00012353514],"about_ca_topic_score_codex":0.013573728,"about_ca_topic_score_gemma":0.0064263036,"teacher_disagreement_score":0.0071474235,"about_ca_system_score_codex":0.00009534852,"about_ca_system_score_gemma":0.0000129939435,"threshold_uncertainty_score":0.99299496},"labels":[],"label_agreement":null},{"id":"W1498051403","doi":"10.1029/2012wr011901","title":"Peak flow regime changes following forest harvesting in a snow‐dominated basin: Effects of harvest area, elevation, and channel connectivity","year":2012,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Sediment Transport Processes","field":"Environmental Science","cited_by":33,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; Pacific Institute for Climate Solutions; University of Victoria","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Flood myth; Environmental science; Hydrology (agriculture); Channel (broadcasting); Structural basin; Elevation (ballistics); Snow; STREAMS; Return period; Drainage basin; Logging; Geology; Geography; Geomorphology; Forestry; Geotechnical engineering; Cartography","score_opus":0.027088745828931296,"score_gpt":0.2685798736394275,"score_spread":0.2414911278104962,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1498051403","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9971809,0.00027630248,0.00009385745,0.0004981512,0.00004997201,0.00042789223,0.0000019113136,0.00002569807,0.0014453614],"genre_scores_gemma":[0.9985806,0.000029021026,0.0000689463,0.000047879937,0.000052225394,0.00008813129,0.000015526803,0.000018962079,0.0010987204],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99777675,0.00035852136,0.00020863434,0.00035362446,0.00048658965,0.0008158995],"domain_scores_gemma":[0.999024,0.00055090897,0.00004138567,0.00020346395,0.000021908507,0.00015835241],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025608442,0.00015990401,0.00026521742,0.00021283653,0.0002543864,0.000035781162,0.00022674729,0.00013686609,0.0001348118],"category_scores_gemma":[0.00044276696,0.00012151389,0.0000356183,0.000396463,0.00039821962,0.0004952131,0.00020373653,0.00033284604,0.000034090448],"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":[0.00013957043,0.00021358635,0.94620275,0.00022332661,0.000029249124,0.00004996203,0.017272837,0.0004354047,0.031880215,0.000010071049,0.00008043206,0.0034625996],"study_design_scores_gemma":[0.0017229044,0.00042648712,0.82379055,0.0003869533,0.000028033975,0.000015222851,0.00038607902,0.0046993596,0.15566744,0.00045964445,0.012043385,0.00037396076],"about_ca_topic_score_codex":0.0019396223,"about_ca_topic_score_gemma":0.0027796146,"teacher_disagreement_score":0.12378722,"about_ca_system_score_codex":0.000058614532,"about_ca_system_score_gemma":0.000005578444,"threshold_uncertainty_score":0.49551925},"labels":[],"label_agreement":null},{"id":"W1499160066","doi":"10.1029/2007wr006781","title":"Longer‐term effects of pine and eucalypt plantations on streamflow","year":2008,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":137,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Okanagan University College; University of British Columbia, Okanagan Campus; University of British Columbia","funders":"Hans Merensky Foundation; Water Research Commission","keywords":"Afforestation; Streamflow; Environmental science; Pinus radiata; Eucalyptus; Agroforestry; Subtropics; Drainage basin; Tropics; Agronomy; Hydrology (agriculture); Geography; Ecology; Biology; Geology","score_opus":0.02817321411936242,"score_gpt":0.2849679701242542,"score_spread":0.25679475600489177,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1499160066","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9877316,0.00004089326,0.000008394423,0.0004542574,0.000020737783,0.00021536722,0.0000020761156,0.000015978278,0.011510726],"genre_scores_gemma":[0.9957526,0.0001752905,0.000040201,0.00006034315,0.000022062977,0.000029197692,0.000005571296,0.0000075096523,0.00390723],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99876773,0.0001584515,0.00011058029,0.00024325434,0.0003681333,0.0003518682],"domain_scores_gemma":[0.9995799,0.00015110368,0.000013735847,0.0001823515,0.00000721255,0.000065709275],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029448935,0.00008640611,0.00012384573,0.000113758186,0.0003845478,0.000009528947,0.00016375245,0.00004237482,0.0002665455],"category_scores_gemma":[0.000030051773,0.000055015495,0.00002189198,0.0001122887,0.0008257789,0.000060335566,0.00039770614,0.0001607271,0.00037859377],"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":[0.00055478123,0.0007224539,0.84505683,0.00036469696,0.00021884264,0.000706763,0.07856927,0.0010780967,0.05108093,0.000090705704,0.014463613,0.0070930202],"study_design_scores_gemma":[0.0015236826,0.0014006566,0.8403234,0.00007377168,0.000024802743,0.000025352747,0.00032318928,0.0002849984,0.1301837,0.0007438164,0.024800295,0.0002923741],"about_ca_topic_score_codex":0.00017111487,"about_ca_topic_score_gemma":0.00002833133,"teacher_disagreement_score":0.07910276,"about_ca_system_score_codex":0.000022106948,"about_ca_system_score_gemma":9.676243e-7,"threshold_uncertainty_score":0.4866183},"labels":[],"label_agreement":null},{"id":"W1500572087","doi":"10.1029/2010wr009607","title":"River‐to‐lake connectivities, water renewal, and aquatic habitat diversity in the Mackenzie River Delta","year":2010,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":96,"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":"","keywords":"Hydrology (agriculture); Floodplain; Delta; Environmental science; Habitat; Sill; River delta; Water level; Flood myth; Wetland; Ecology; Geology; Geography","score_opus":0.03375282711750377,"score_gpt":0.27060375540679005,"score_spread":0.23685092828928628,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1500572087","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9837627,0.0000057808047,0.000004330291,0.006353033,0.000058084283,0.00045792936,0.0000060485986,0.000016725578,0.009335383],"genre_scores_gemma":[0.99644536,0.000017208544,0.00008019181,0.00074671465,0.000029546945,0.00005253484,0.000010192523,0.000008170443,0.0026101007],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.997919,0.0003478953,0.000120098535,0.0003947824,0.00052600465,0.00069217733],"domain_scores_gemma":[0.999359,0.00021666891,0.000010175026,0.0003250713,0.000007791326,0.00008129757],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.002058212,0.00012463244,0.00013502016,0.00013337786,0.0011135377,0.00007054089,0.0006086243,0.00007500871,0.00096774223],"category_scores_gemma":[0.00008170727,0.000066026594,0.000025260977,0.00015587937,0.0014771887,0.00015563045,0.0037968343,0.0004530713,0.0008607521],"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":[0.000079309306,0.0000883777,0.8991615,0.000014026295,0.000022241162,0.000074507436,0.0711116,0.00001721775,0.0012106257,0.000033806788,0.02776137,0.0004253817],"study_design_scores_gemma":[0.00059107784,0.00021732275,0.79186964,0.000007670198,0.00001296732,0.000006338083,0.0021427704,0.00011514088,0.0017986537,0.008925372,0.19409426,0.00021881606],"about_ca_topic_score_codex":0.0047020027,"about_ca_topic_score_gemma":0.1487671,"teacher_disagreement_score":0.16633289,"about_ca_system_score_codex":0.000042406682,"about_ca_system_score_gemma":0.0000015256513,"threshold_uncertainty_score":0.9999455},"labels":[],"label_agreement":null},{"id":"W1502044662","doi":"10.1029/2010wr009092","title":"A new capillary and thin film flow model for predicting the hydraulic conductivity of unsaturated porous media","year":2010,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Soil and Unsaturated Flow","field":"Engineering","cited_by":271,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Hydraulic conductivity; Capillary action; Porous medium; Conductivity; Hydraulic head; Mechanics; Water flow; Flow (mathematics); Head (geology); Materials science; Water transport; Range (aeronautics); Soil water; Characterisation of pore space in soil; Geotechnical engineering; Porosity; Soil science; Environmental science; Geology; Composite material; Chemistry; Physics","score_opus":0.03513043543703532,"score_gpt":0.267059143498246,"score_spread":0.2319287080612107,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1502044662","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99712574,0.00043512913,0.00038299154,0.00043736928,0.00018991328,0.00039592854,0.000032937645,0.00013221186,0.0008677445],"genre_scores_gemma":[0.998049,0.000054810393,0.00091120694,0.000016246897,0.00027092392,0.00003816227,0.000030421283,0.00004615115,0.0005830507],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984712,0.000081331884,0.00022235794,0.00024315967,0.0004291498,0.00055282365],"domain_scores_gemma":[0.9989206,0.00039293015,0.000018405437,0.00035253406,0.00015776756,0.0001577506],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009802465,0.00016192492,0.0002077725,0.00015425419,0.00021329771,0.00009523637,0.0003280566,0.000207965,0.000031615516],"category_scores_gemma":[0.00019720693,0.00009256379,0.000046768677,0.00022409715,0.00019576754,0.00015571355,0.00011843494,0.0009922049,0.0000059121144],"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":[0.00038897296,0.00005264899,0.0011629135,0.0004942756,0.00026524896,0.000021311678,0.111349516,0.32653138,0.5227532,0.00009323626,0.012714938,0.02417238],"study_design_scores_gemma":[0.00042715992,0.000034847988,0.00032498926,0.000021645503,0.000011026871,0.000015380108,0.00043042708,0.92867064,0.065725036,0.0006881376,0.0035297752,0.00012091129],"about_ca_topic_score_codex":0.00043857843,"about_ca_topic_score_gemma":0.00034226783,"teacher_disagreement_score":0.6021393,"about_ca_system_score_codex":0.000016422387,"about_ca_system_score_gemma":0.000033621647,"threshold_uncertainty_score":0.43106917},"labels":[],"label_agreement":null},{"id":"W1502109141","doi":"10.1029/2005wr004144","title":"Impact of permeable conduits on solute transport in aquitards: Mathematical models and their application","year":2007,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Groundwater flow and contamination studies","field":"Environmental Science","cited_by":21,"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 Saskatchewan","funders":"Vedecká Grantová Agentúra MŠVVaŠ SR a SAV","keywords":"Electrical conduit; Aquifer; Geology; Matrix (chemical analysis); Diffusion; Mechanics; Porosity; Permeability (electromagnetism); Groundwater; Flow (mathematics); Current (fluid); RADIUS; Advection; Mineralogy; Geotechnical engineering; Materials science; Chemistry; Thermodynamics; Membrane; Physics","score_opus":0.05647638510044585,"score_gpt":0.33259337581313414,"score_spread":0.2761169907126883,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1502109141","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9880588,0.000026142605,0.004621536,0.00007893303,0.000003086627,0.00028136844,0.000004415253,0.00000939588,0.006916303],"genre_scores_gemma":[0.9982158,0.00000867456,0.000040101073,0.000009611887,0.000009444194,0.00003148404,0.000004531504,0.0000094736715,0.001670865],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986112,0.000063129846,0.00022184837,0.00024325473,0.00043076772,0.000429807],"domain_scores_gemma":[0.99961734,0.00008662287,0.000016761465,0.00018295387,0.000021816159,0.00007451523],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016823753,0.00009805727,0.00016090756,0.00013028833,0.00010477984,0.000015775766,0.00016681946,0.000053146643,0.00017221554],"category_scores_gemma":[0.000006987238,0.00005595217,0.00004111394,0.00016274856,0.00029406673,0.00012187928,0.00012279314,0.00015861941,0.000079588266],"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":[0.00080003013,0.0011528325,0.3928314,0.00017444669,0.000110322704,0.00003562293,0.18667828,0.008404738,0.2978039,0.000882067,0.0002406489,0.11088574],"study_design_scores_gemma":[0.0016013561,0.0009591603,0.88023746,0.00008900969,0.000008581009,0.00001469921,0.004068776,0.038966864,0.05638161,0.011720835,0.005530413,0.00042123298],"about_ca_topic_score_codex":0.0010691953,"about_ca_topic_score_gemma":0.00031611536,"teacher_disagreement_score":0.48740608,"about_ca_system_score_codex":0.00011703751,"about_ca_system_score_gemma":0.0000030123906,"threshold_uncertainty_score":0.22816631},"labels":[],"label_agreement":null},{"id":"W1502343398","doi":"10.1029/2001wr000677","title":"Regional estimation of flood quantiles: Parametric versus nonparametric regression models","year":2002,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Drought Analysis","field":"Environmental Science","cited_by":11,"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; Institut National de la Recherche Scientifique; Hydro-Québec","funders":"","keywords":"Nonparametric statistics; Nonparametric regression; Estimator; Curse of dimensionality; Econometrics; Quantile; Parametric statistics; Flood myth; Multivariate statistics; Regression analysis; Metric (unit); Regression; Statistics; Quantile regression; Similarity (geometry); Computer science; Mathematics; Geography; Artificial intelligence; Engineering","score_opus":0.1004818859816639,"score_gpt":0.33380749857760983,"score_spread":0.23332561259594592,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1502343398","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9834001,0.0002979896,0.00033845942,0.0004049715,0.00003180871,0.000152148,0.0000019849135,0.000026106522,0.01534642],"genre_scores_gemma":[0.99681634,0.00013368267,0.0008328898,0.000017660452,0.000028191163,0.00002101016,0.000012003119,0.0000138721725,0.0021243596],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9969758,0.00041902353,0.00031583948,0.00043287626,0.0012958598,0.0005606151],"domain_scores_gemma":[0.9988919,0.00039469908,0.000060876813,0.0004818185,0.000034488872,0.0001362251],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0011659788,0.00013611862,0.00023106871,0.000709963,0.00029577556,0.00003704166,0.0004998358,0.00017233127,0.004216469],"category_scores_gemma":[0.00019966616,0.00008956698,0.00011122252,0.0021897736,0.0005804151,0.0002772478,0.00032835823,0.00037075626,0.0020494221],"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":[0.0010606437,0.0011750112,0.0140091665,0.00007473179,0.00018764683,0.00007229545,0.011873969,0.89213157,0.005648111,0.0001997832,0.015541096,0.05802597],"study_design_scores_gemma":[0.0008049274,0.00032901714,0.00090065907,0.000020148083,0.000027087033,0.0000054676357,0.0001390118,0.98074865,0.007797291,0.0019352268,0.007122389,0.00017012873],"about_ca_topic_score_codex":0.00065361825,"about_ca_topic_score_gemma":0.000030181978,"teacher_disagreement_score":0.08861707,"about_ca_system_score_codex":0.000099143224,"about_ca_system_score_gemma":0.0000026783553,"threshold_uncertainty_score":0.9987276},"labels":[],"label_agreement":null},{"id":"W1503634081","doi":"10.1029/2009wr008712","title":"Influence of wettability variations on dynamic effects in capillary pressure","year":2010,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Enhanced Oil Recovery Techniques","field":"Engineering","cited_by":61,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University; Western University","funders":"","keywords":"Capillary action; Wetting; Capillary pressure; Mechanics; Saturation (graph theory); Contact angle; Materials science; Dynamic equilibrium; Displacement (psychology); Multiphase flow; Geotechnical engineering; Thermodynamics; Composite material; Geology; Porous medium; Mathematics; Physics","score_opus":0.007579779288428774,"score_gpt":0.2860977517849682,"score_spread":0.2785179724965394,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1503634081","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99627024,0.00006692657,0.00006262404,0.000039123628,0.00004081887,0.00038316802,0.0000071910135,0.00016024327,0.002969685],"genre_scores_gemma":[0.99916756,0.00002312008,0.00046355356,0.0000053414215,0.00001726287,0.00011969011,0.0000044778467,0.000028199918,0.00017076939],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.998561,0.00016840507,0.00021569275,0.00021832451,0.00042584035,0.00041074172],"domain_scores_gemma":[0.9989205,0.00038635242,0.00001155204,0.0005252011,0.00009525008,0.00006113876],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00097622117,0.00011201023,0.00016725513,0.00037279387,0.000046936526,0.000026104257,0.0003629747,0.00016170315,0.00003175391],"category_scores_gemma":[0.00027619925,0.00008838888,0.000032840424,0.0002874924,0.00013052291,0.000113848386,0.00010815102,0.0009732884,0.000038685],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000030484938,0.00006787927,0.009812116,0.00055480876,0.000018964678,0.000008697633,0.0020236417,0.053256232,0.9320366,0.00013697866,0.00005467092,0.0019989293],"study_design_scores_gemma":[0.00020305492,0.00013482734,0.14961581,0.00012713479,0.0000033861602,0.0000016738286,0.000011034605,0.012626186,0.82713383,0.003256291,0.0067262715,0.00016047232],"about_ca_topic_score_codex":0.00023217134,"about_ca_topic_score_gemma":0.0003730053,"teacher_disagreement_score":0.1398037,"about_ca_system_score_codex":0.000051541243,"about_ca_system_score_gemma":0.0000094934985,"threshold_uncertainty_score":0.4228508},"labels":[],"label_agreement":null},{"id":"W1504886706","doi":"10.1029/2006wr004955","title":"Unsaturated hydraulic conductivity from nuclear magnetic resonance measurements","year":2006,"lang":"en","type":"article","venue":"Water Resources Research","topic":"NMR spectroscopy and applications","field":"Physics and Astronomy","cited_by":46,"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":"Natural Sciences and Engineering Research Council of Canada","keywords":"Hydraulic conductivity; Permeability (electromagnetism); Relaxation (psychology); Conductivity; Magnetization; Nuclear magnetic resonance; Materials science; Geology; Chemistry; Soil science; Physics; Magnetic field; Soil water","score_opus":0.04734303118434985,"score_gpt":0.3466206954618887,"score_spread":0.2992776642775388,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1504886706","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95149595,0.0003035035,0.000038452134,0.00066194317,0.0000284467,0.00029588968,0.00004896838,0.000054779834,0.047072064],"genre_scores_gemma":[0.9944891,0.0000017591781,0.00019312082,0.00002410087,0.00050010276,0.000069464826,0.00009153011,0.00003231582,0.004598513],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.9978907,0.00023505218,0.00020458573,0.0004438722,0.0005944054,0.00063137297],"domain_scores_gemma":[0.9992446,0.000049966315,0.000026291184,0.00045373844,0.00013033832,0.00009507706],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00037031926,0.00015032114,0.00016132301,0.00009333603,0.0005091655,0.00021360948,0.00040890413,0.000051195162,0.0026436702],"category_scores_gemma":[0.0000034683255,0.00011453182,0.000061004066,0.00028708132,0.0002211508,0.00011670479,0.00015473702,0.00044339537,0.0012510766],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012856648,0.00057603925,0.046169877,0.000009110976,0.00003912192,0.000006246956,0.0013973113,0.000039640243,0.922406,0.0058159386,0.0131875705,0.01022458],"study_design_scores_gemma":[0.00067555095,0.00007420037,0.026373047,0.000024042716,0.000010839511,4.2620698e-7,0.00022490148,0.0002908984,0.26297092,0.020731898,0.688367,0.0002562626],"about_ca_topic_score_codex":0.0132867,"about_ca_topic_score_gemma":0.00005924735,"teacher_disagreement_score":0.6751794,"about_ca_system_score_codex":0.000048519432,"about_ca_system_score_gemma":0.000015260792,"threshold_uncertainty_score":0.99952656},"labels":[],"label_agreement":null},{"id":"W1505152330","doi":"10.1029/2005wr004648","title":"Comparison of grid‐based algorithms for computing upslope contributing area","year":2006,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":154,"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":"McMaster University","keywords":"Terrain; Grid; Digital elevation model; Algorithm; Global Positioning System; Grid cell; Divergence (linguistics); Regular grid; Geology; Computer science; Mathematics; Remote sensing; Geodesy; Geography; Cartography","score_opus":0.07554445120180281,"score_gpt":0.3643204454338932,"score_spread":0.2887759942320904,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1505152330","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98421735,0.000058837766,0.0050121797,0.0011120153,0.000059214322,0.0005486657,0.000012833965,0.00004122459,0.008937667],"genre_scores_gemma":[0.997611,9.413091e-7,0.001093261,0.000044207383,0.00009980236,0.00003115354,0.00004987168,0.000013279286,0.0010565163],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99774206,0.00019462146,0.00034386507,0.00034509893,0.00049952883,0.0008748027],"domain_scores_gemma":[0.99934596,0.00029646922,0.00005884884,0.0002092026,0.00004207528,0.000047461093],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021951285,0.00012443196,0.00027228103,0.00011011629,0.0007010265,0.000037353784,0.00035602986,0.00007052148,0.00028389087],"category_scores_gemma":[0.000052512423,0.00008685182,0.000069599475,0.00018481245,0.0005480507,0.000052293424,0.0006388511,0.00020059191,0.00012571151],"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":[0.00022023296,0.00035444676,0.90701765,0.000104092665,0.000054007207,0.000010920768,0.0031278036,0.05711114,0.01186292,0.000057666104,0.016408695,0.0036703993],"study_design_scores_gemma":[0.003045484,0.00077384786,0.07054668,0.0000819702,0.00004419124,0.0000015791277,0.0012058283,0.26716104,0.24730179,0.0017759828,0.40753385,0.00052773254],"about_ca_topic_score_codex":0.0007796812,"about_ca_topic_score_gemma":0.00008327718,"teacher_disagreement_score":0.836471,"about_ca_system_score_codex":0.000070643524,"about_ca_system_score_gemma":0.000002187878,"threshold_uncertainty_score":0.53918},"labels":[],"label_agreement":null},{"id":"W1505268762","doi":"10.1029/2006wr004960","title":"Modeling the mechanisms that control in‐stream dissolved organic carbon dynamics in upland and forested catchments","year":2007,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Soil and Water Nutrient Dynamics","field":"Environmental Science","cited_by":234,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Trent University","funders":"","keywords":"Dissolved organic carbon; Environmental science; Peat; Soil water; Soil carbon; Hydrology (agriculture); Wetland; Carbon cycle; Surface water; Total organic carbon; Soil science; Environmental chemistry; Ecosystem; Ecology; Geology; Chemistry; Environmental engineering","score_opus":0.02030934754150354,"score_gpt":0.2637012525660674,"score_spread":0.24339190502456387,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1505268762","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99753654,0.000029912931,0.0004936918,0.00042703864,0.000034134235,0.00047471822,0.0000040295054,0.000017336502,0.0009825802],"genre_scores_gemma":[0.99958444,0.000027240645,0.00002774943,0.000043592925,0.0000153651,0.000024994039,0.00001653505,0.00002305154,0.0002370303],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99760026,0.00017432886,0.00025054198,0.00039251102,0.0006922146,0.0008901227],"domain_scores_gemma":[0.999447,0.00010868166,0.000018663664,0.00029249466,0.000010883612,0.0001222806],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022049558,0.00015503712,0.00016829796,0.00017761167,0.0001665342,0.000089821086,0.00039505315,0.000113114445,0.000017956188],"category_scores_gemma":[0.000020337586,0.0000901413,0.0000230313,0.00032596575,0.00019706669,0.00009585643,0.0004348271,0.00045030192,0.00001783247],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001885707,0.00006747896,0.99094737,0.000008913045,0.0000066807365,0.000054730815,0.004246036,0.0025703695,0.0013376031,0.000019011473,0.0000017114903,0.0005515245],"study_design_scores_gemma":[0.0015683189,0.0000942451,0.056582026,0.000034596844,0.000005214423,0.000010019691,0.002502991,0.928358,0.0012600448,0.009333556,0.00006412574,0.00018685886],"about_ca_topic_score_codex":0.009821368,"about_ca_topic_score_gemma":0.016618274,"teacher_disagreement_score":0.93436533,"about_ca_system_score_codex":0.00047236565,"about_ca_system_score_gemma":0.000003917595,"threshold_uncertainty_score":0.9967723},"labels":[],"label_agreement":null},{"id":"W1505619735","doi":"10.1002/wrcr.20101","title":"Comparison of confined and unconfined infiltration in transparent porous media","year":2013,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Soil and Unsaturated Flow","field":"Engineering","cited_by":40,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University; Royal Military College of Canada","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Infiltration (HVAC); Gradation; Porous medium; Porosity; Materials science; Geotechnical engineering; Environmental science; Geology; Composite material; Computer science; Artificial intelligence","score_opus":0.06339772945378375,"score_gpt":0.31213064927897477,"score_spread":0.24873291982519102,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1505619735","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9962473,0.0003678339,0.00002035667,0.00018588794,0.00004423109,0.00022185089,0.0000031133786,0.000047731726,0.0028616914],"genre_scores_gemma":[0.9997275,0.00003911157,0.000037526133,0.0000039449046,0.000035498077,0.000040619503,0.000026103564,0.000015124048,0.00007459356],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9988603,0.00008498965,0.0002820345,0.000131013,0.00031143596,0.00033021427],"domain_scores_gemma":[0.99960625,0.0000898303,0.000009155679,0.00013434175,0.00008234539,0.0000780597],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027893856,0.00009435325,0.00020628255,0.0002593899,0.000031585423,0.000051184084,0.00012115643,0.00009808581,0.00024529922],"category_scores_gemma":[0.000022459508,0.00006727338,0.000015274647,0.00019142694,0.000104361934,0.00007895869,0.00001976527,0.00031124658,0.00003911508],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016342703,0.00017663003,0.10851446,0.00056205544,0.00008037439,0.00001844186,0.10618817,0.014392593,0.7048945,0.00010118221,0.002066361,0.06284183],"study_design_scores_gemma":[0.002280701,0.0003039491,0.23630653,0.00017838909,0.000010304828,0.000006477829,0.0050743856,0.13897376,0.6046788,0.0008078327,0.010933713,0.0004451487],"about_ca_topic_score_codex":0.0010139704,"about_ca_topic_score_gemma":0.00048804388,"teacher_disagreement_score":0.12779208,"about_ca_system_score_codex":0.000020816606,"about_ca_system_score_gemma":0.0000051938478,"threshold_uncertainty_score":0.27433288},"labels":[],"label_agreement":null},{"id":"W1505911477","doi":"10.1002/wrcr.20254","title":"Long‐term management of a hydroelectric multireservoir system under uncertainty using the progressive hedging algorithm","year":2013,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Water resources management and optimization","field":"Engineering","cited_by":49,"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 Montréal; Polytechnique Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Fonds Québécois de la Recherche sur la Nature et les Technologies","keywords":"Hydroelectricity; Term (time); Key (lock); Time horizon; Horizon; Environmental science; Computer science; Mathematical optimization; Operations research; Algorithm; Hydrology (agriculture); Mathematics; Engineering; Geotechnical engineering","score_opus":0.032557145495919364,"score_gpt":0.2799068911835539,"score_spread":0.24734974568763451,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1505911477","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9851043,0.0007420884,0.00988283,0.00009734399,0.000080920894,0.0017356165,0.000002706816,0.0002447414,0.0021094186],"genre_scores_gemma":[0.99708474,0.000041676525,0.001305913,0.0000072348416,0.000120917946,0.00024668235,0.000024597875,0.00007492133,0.0010933148],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9970918,0.0002649088,0.00040963112,0.00033944656,0.0009339095,0.00096026796],"domain_scores_gemma":[0.9990097,0.000052085456,0.000050251474,0.00058559276,0.00019240193,0.0001099516],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007586548,0.00024920105,0.00024879567,0.00048651025,0.0003706854,0.00036091267,0.00078944577,0.00008828462,0.000110447254],"category_scores_gemma":[0.0000032269681,0.00014891442,0.000093702554,0.0007495707,0.00018905464,0.00023040193,0.00049456384,0.00036510837,0.00009486252],"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":[0.00002793297,0.00006648738,0.001225651,0.0018274749,0.00050866936,0.000081189,0.004836369,0.9626901,0.002082099,0.000053453932,0.00023145348,0.026369095],"study_design_scores_gemma":[0.00049281935,0.00004987284,0.0013927552,0.0003591844,0.00003981088,0.000010011488,0.0022319185,0.9907751,0.0037115724,0.000053551223,0.0006542134,0.00022920316],"about_ca_topic_score_codex":0.00028329567,"about_ca_topic_score_gemma":0.000003980799,"teacher_disagreement_score":0.028084962,"about_ca_system_score_codex":0.00027565024,"about_ca_system_score_gemma":0.000004324446,"threshold_uncertainty_score":0.6072554},"labels":[],"label_agreement":null},{"id":"W1506264472","doi":"10.1029/2010wr010364","title":"Discretizing a discrete fracture model for simulation of radial transport","year":2012,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Groundwater flow and contamination 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":"Queen's University","funders":"Ministry of Education, India; Ministry of Earth Sciences","keywords":"Discretization; Fracture (geology); Mechanics; Hydrogeology; Point (geometry); Point source; Borehole; Diffusion; Geology; Mathematics; Geometry; Physics; Mathematical analysis; Geotechnical engineering","score_opus":0.05548508835971986,"score_gpt":0.3340229828925591,"score_spread":0.2785378945328392,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1506264472","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.85772055,0.000043565582,0.14069405,0.000303372,0.000021438085,0.00033228484,0.000012241894,0.000013316194,0.00085918454],"genre_scores_gemma":[0.993398,0.0000027332514,0.0003264854,0.000031965337,0.000086883876,0.00006984508,0.000023995197,0.000015338053,0.006044729],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984649,0.00007307096,0.00019099515,0.00018425057,0.00056792685,0.00051885744],"domain_scores_gemma":[0.99960023,0.000090388756,0.000023939505,0.00016495203,0.000028450113,0.00009204211],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009140827,0.00009414802,0.00013532475,0.00006615745,0.0002555256,0.000019040725,0.00018032106,0.000058824156,0.00021176366],"category_scores_gemma":[0.000019023748,0.000059540187,0.000071914066,0.00009455848,0.00021316564,0.0002802998,0.00010899087,0.00012483541,0.000045657132],"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":[0.0005054568,0.00019659927,0.19660334,0.00011372385,0.00006361609,0.0000015393362,0.17147666,0.58242255,0.035332482,0.000059388592,0.00055473286,0.012669906],"study_design_scores_gemma":[0.00095372053,0.00014963342,0.059608966,0.000025459804,0.000030505917,0.000001158567,0.0013377218,0.6590413,0.022907259,0.0005022391,0.2551265,0.00031554597],"about_ca_topic_score_codex":0.00017200915,"about_ca_topic_score_gemma":0.00004105994,"teacher_disagreement_score":0.25457177,"about_ca_system_score_codex":0.000059720343,"about_ca_system_score_gemma":0.0000021695853,"threshold_uncertainty_score":0.24279784},"labels":[],"label_agreement":null},{"id":"W1506382758","doi":"10.1029/2010wr009250","title":"Quantifying streamflow change caused by forest disturbance at a large spatial scale: A single watershed study","year":2010,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":206,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia","funders":"","keywords":"Streamflow; Environmental science; Evapotranspiration; Disturbance (geology); Precipitation; Climate change; Watershed; Hydrology (agriculture); Flood forecasting; Climatology; Physical geography; Ecology; Geography; Drainage basin; Meteorology; Geology","score_opus":0.060041910479287273,"score_gpt":0.3078875380534045,"score_spread":0.24784562757411724,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1506382758","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9949172,0.00002576926,0.000018999404,0.0014202874,0.00015233492,0.0011962126,0.000023396937,0.000091873975,0.002153932],"genre_scores_gemma":[0.9925633,0.0000074723534,0.000021762597,0.00011801858,0.00014730028,0.0003821419,0.000055588644,0.000041114425,0.006663277],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9959708,0.00040779155,0.00028296653,0.0008514207,0.000997139,0.0014898828],"domain_scores_gemma":[0.9990173,0.00007510206,0.00004086796,0.0006471348,0.000020784943,0.00019882323],"candidate_categories":["sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0017289033,0.00027912983,0.00029071394,0.0001321896,0.0013665118,0.00013670373,0.0007114006,0.00011558599,0.0019327374],"category_scores_gemma":[0.000041351206,0.00018446294,0.00006772779,0.00024742648,0.000695385,0.00025329724,0.002555225,0.00064205175,0.0018232502],"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":[0.0001600591,0.00075571117,0.9237975,0.000022350352,0.00004951018,0.00008898557,0.02154709,0.000013878498,0.048848122,0.0000011049902,0.004018546,0.00069717155],"study_design_scores_gemma":[0.0030368685,0.0012667862,0.55906445,0.000021587275,0.000049920385,0.000006618683,0.0019631016,0.0015626797,0.040694393,0.00009653837,0.39147985,0.0007571795],"about_ca_topic_score_codex":0.0052334433,"about_ca_topic_score_gemma":0.059921846,"teacher_disagreement_score":0.3874613,"about_ca_system_score_codex":0.00014187131,"about_ca_system_score_gemma":0.0000013829359,"threshold_uncertainty_score":0.9999336},"labels":[],"label_agreement":null},{"id":"W1508122953","doi":"10.1029/2003wr002017","title":"Pore water pressure assessment in a forest watershed: Simulations and distributed field measurements related to forest practices","year":2004,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Landslides and related hazards","field":"Environmental Science","cited_by":53,"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","funders":"Canadian Forest Service; University of British Columbia; Killam Trusts; National University of Singapore","keywords":"Piezometer; Environmental science; Hydrology (agriculture); Storm; Watershed; Landslide; Pore water pressure; Pressure head; Groundwater; Terrain; Logging; Spatial distribution; Forest road; Geology; Geomorphology; Geotechnical engineering; Aquifer; Forestry; Remote sensing; Ecology; Geography","score_opus":0.04603024230968071,"score_gpt":0.3464110312106662,"score_spread":0.30038078890098546,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1508122953","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9881748,0.000035569505,0.00005402984,0.008343258,0.000041292828,0.00077255466,0.000015261272,0.000036737525,0.0025264765],"genre_scores_gemma":[0.9979933,0.000014603841,0.00020823677,0.00008862808,0.000023619166,0.000060156548,0.00018208796,0.000026598349,0.0014028004],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99680454,0.00024761606,0.00037180533,0.0005738464,0.0010663506,0.0009358427],"domain_scores_gemma":[0.9991696,0.00008227293,0.000048214,0.0003821677,0.0000471015,0.00027063387],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001412235,0.00019814339,0.0002050911,0.00019112279,0.0004121876,0.00024570114,0.00037782162,0.00021686687,0.00079572963],"category_scores_gemma":[0.00012407864,0.00010801066,0.00004289143,0.0003300255,0.00015438118,0.0003451752,0.0007958713,0.0007159028,0.00018876174],"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":[0.00021516971,0.000244395,0.70884776,0.0000419673,0.00007453899,0.00011819852,0.010600078,0.26299092,0.015992006,0.000020111562,0.00046743112,0.0003874232],"study_design_scores_gemma":[0.0067099966,0.0017740357,0.5503391,0.0003574983,0.000113964656,0.00008564251,0.001975146,0.012238492,0.041119505,0.011181469,0.37287527,0.0012298656],"about_ca_topic_score_codex":0.0038104646,"about_ca_topic_score_gemma":0.0032984945,"teacher_disagreement_score":0.37240782,"about_ca_system_score_codex":0.00022188252,"about_ca_system_score_gemma":0.000013092259,"threshold_uncertainty_score":0.87126815},"labels":[],"label_agreement":null},{"id":"W1508310404","doi":"10.1029/2005wr004798","title":"Travel cost demand model based river recreation benefit estimates with on‐site and household surveys: Comparative results and a correction procedure—Reevaluation","year":2006,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":36,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"St. Francis Xavier University","funders":"Social Sciences and Humanities Research Council of Canada; St. Francis Xavier University","keywords":"Recreation; Truncation (statistics); Stratification (seeds); Econometrics; Statistics; Sample (material); Survey data collection; Environmental science; Mathematics; Hydrology (agriculture); Economics; Geology; Ecology","score_opus":0.20662771844275146,"score_gpt":0.28680379322934024,"score_spread":0.08017607478658878,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1508310404","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99188316,0.00015827852,0.0038353936,0.0002082118,0.000019448486,0.0006597626,0.0001424281,0.000020331636,0.003073],"genre_scores_gemma":[0.9972069,0.00005129035,0.0006108157,0.000027289141,0.000036182646,0.00010626432,0.00031760827,0.000023018902,0.0016206143],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985599,0.00011768301,0.000362447,0.00054048037,0.00012673519,0.00029277938],"domain_scores_gemma":[0.99942666,0.0001719211,0.00011563085,0.00017604958,0.00003945114,0.000070258946],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028511144,0.00015531755,0.00024590673,0.00031195366,0.0003676374,0.00016407613,0.00006633937,0.00009265942,0.000021955917],"category_scores_gemma":[0.000038246155,0.00013074127,0.000020104239,0.00011116483,0.00023378857,0.0002456696,0.000038600283,0.00020344465,0.00006505961],"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":[0.00080691854,0.00021647238,0.533751,0.00005351118,0.00003985371,0.0000016512673,0.0070345304,0.45534858,0.00065974134,0.000498349,0.00057967525,0.0010096917],"study_design_scores_gemma":[0.0011261506,0.00019837402,0.51903284,0.00002968541,0.000004371157,0.0000020295042,0.00009579183,0.4757921,0.0020014697,0.0015009287,0.00009202717,0.00012420735],"about_ca_topic_score_codex":0.0016449287,"about_ca_topic_score_gemma":0.00043864813,"teacher_disagreement_score":0.02044353,"about_ca_system_score_codex":0.00017513424,"about_ca_system_score_gemma":0.000007918163,"threshold_uncertainty_score":0.53314745},"labels":[],"label_agreement":null},{"id":"W1508659036","doi":"10.1029/2010wr010075","title":"Hydrologic response of catchments to precipitation: Quantification of mechanical carriers and origins of water","year":2011,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Groundwater flow and contamination studies","field":"Environmental Science","cited_by":29,"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":"Natural Sciences and Engineering Research Council of Canada","keywords":"TRACER; Hydrograph; Surface runoff; Groundwater; Precipitation; Hydrology (agriculture); Macropore; Mixing (physics); Subsurface flow; Flow (mathematics); Geology; Groundwater flow; Soil science; Environmental science; Aquifer; Mechanics; Geotechnical engineering; Meteorology; Chemistry","score_opus":0.07233725768018767,"score_gpt":0.3161249358025728,"score_spread":0.2437876781223851,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1508659036","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99882245,0.000011081115,0.00034450393,0.00020253898,0.00002169832,0.000257824,0.000006318531,0.000005500499,0.00032810797],"genre_scores_gemma":[0.99840397,0.000004935608,0.0002843078,0.000009224597,0.0000046809023,0.000035950303,0.0000033644276,0.0000061591554,0.0012474121],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9982938,0.00038909566,0.0002935936,0.00023643719,0.00053483766,0.000252223],"domain_scores_gemma":[0.9994988,0.00007685728,0.000035770947,0.00024041152,0.00007583908,0.00007234063],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018629459,0.00007395807,0.00016323954,0.00014204126,0.00008462179,0.0000074982304,0.00022941804,0.000048679827,0.0003385438],"category_scores_gemma":[0.00005780099,0.00004404795,0.000028057339,0.00014869367,0.00038771893,0.000080259844,0.00036773688,0.00007238775,0.00006170772],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010034546,0.000094780684,0.04250571,0.00003031271,0.000025485731,0.0000016458426,0.06402239,0.000029422403,0.89065254,0.000081837556,0.000043648506,0.0015087535],"study_design_scores_gemma":[0.00021032423,0.0005276156,0.086674124,0.000010363617,0.0000068562676,8.729228e-7,0.0014502183,0.000066985456,0.90466505,0.00020750999,0.0061214566,0.000058627793],"about_ca_topic_score_codex":0.0014639929,"about_ca_topic_score_gemma":0.00005140574,"teacher_disagreement_score":0.062572174,"about_ca_system_score_codex":0.000067215246,"about_ca_system_score_gemma":0.0000034408872,"threshold_uncertainty_score":0.37068173},"labels":[],"label_agreement":null},{"id":"W1510256787","doi":"10.1029/2008wr007048","title":"Electrical characterization of non‐Fickian transport in groundwater and hyporheic systems","year":2008,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Groundwater flow and contamination studies","field":"Environmental Science","cited_by":55,"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","funders":"Pennsylvania Center for Water Resources Research; U.S. Geological Survey; National Science Foundation","keywords":"Aquifer; Mass transfer; Electrical resistivity and conductivity; Electrical resistivity tomography; Groundwater; Soil science; Geology; Geophysics; Environmental science; Hydrology (agriculture); Mechanics; Geotechnical engineering; Electrical engineering; Physics; Engineering","score_opus":0.02964853124688405,"score_gpt":0.25960928477126455,"score_spread":0.2299607535243805,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1510256787","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9983571,0.0000326643,0.00026060356,0.00011741898,0.000023242908,0.00028211533,0.0000018247742,0.0000111733525,0.0009138526],"genre_scores_gemma":[0.99169904,0.000061830775,0.000011567236,0.000011956116,0.000024202933,0.000055443987,0.000016248245,0.00001175988,0.00810797],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9982538,0.00015338488,0.00028389788,0.00028812088,0.0006001799,0.00042057014],"domain_scores_gemma":[0.9997045,0.000025734456,0.000023027906,0.00015133062,0.000026740423,0.00006868478],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000647171,0.00010187646,0.00019451401,0.00019462469,0.00018193155,0.000022862225,0.00016677131,0.00006452307,0.00011659972],"category_scores_gemma":[0.000005339399,0.0000692376,0.000024476985,0.0003016227,0.00036656257,0.000182275,0.00011947242,0.00017726346,0.000094516035],"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":[0.00005703505,0.000111626774,0.70513374,0.000029880193,0.000009535565,0.000052943764,0.017402735,0.00001882096,0.27413937,0.000005125617,0.000027615497,0.0030115647],"study_design_scores_gemma":[0.000372748,0.00014220871,0.9633949,0.000015484133,0.0000025184584,0.000024856075,0.00021110095,0.00079171563,0.0134953465,0.0000063296197,0.021433465,0.000109350076],"about_ca_topic_score_codex":0.0019813639,"about_ca_topic_score_gemma":0.00011525088,"teacher_disagreement_score":0.26064402,"about_ca_system_score_codex":0.00007774991,"about_ca_system_score_gemma":0.0000036884908,"threshold_uncertainty_score":0.29952425},"labels":[],"label_agreement":null},{"id":"W1510537998","doi":"10.1029/2001wr001072","title":"What does a slug test measure: An investigation of instrument response and the effects of heterogeneity","year":2002,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Groundwater flow and contamination studies","field":"Environmental Science","cited_by":61,"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 British Columbia","funders":"","keywords":"Slug test; Exponent; Power function; Square root; RADIUS; Volume (thermodynamics); Mathematics; Exponential function; Scale (ratio); Statistics; Physics; Geometry; Soil science; Mathematical analysis; Geology; Thermodynamics; Hydraulic conductivity","score_opus":0.03462553253529612,"score_gpt":0.2669347201959642,"score_spread":0.23230918766066808,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1510537998","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99799556,0.00029522908,0.0000059334466,0.0012489964,0.000034457666,0.00036078907,0.0000013319335,0.0000075821567,0.000050122402],"genre_scores_gemma":[0.99854976,0.00012454501,0.000022450164,0.000038382754,0.00001152384,0.000057486755,8.8546165e-7,0.000006730974,0.0011882635],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9974474,0.0011541008,0.00019971881,0.00022225617,0.0007443184,0.00023226226],"domain_scores_gemma":[0.99898803,0.0005792918,0.000039455925,0.00028142837,0.000042045216,0.00006977421],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023872743,0.00008700665,0.00015061077,0.000072439354,0.00021989932,0.00008733899,0.00023412645,0.00003795252,0.00006907456],"category_scores_gemma":[0.00019355312,0.000039936167,0.00003059869,0.0001593483,0.00149237,0.0003114367,0.00037360602,0.00011399875,0.000023027736],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006997477,0.00013910682,0.25246286,0.00012867675,0.000042021824,0.000005433023,0.11972024,0.000008328557,0.58458626,0.00001248774,0.00008700936,0.042107817],"study_design_scores_gemma":[0.001493687,0.0005397043,0.26942843,0.000081130325,0.000012703638,0.000003541837,0.0022888898,0.0004929352,0.72250426,0.00024791638,0.0028054656,0.00010133859],"about_ca_topic_score_codex":0.00038685827,"about_ca_topic_score_gemma":0.00021211177,"teacher_disagreement_score":0.13791798,"about_ca_system_score_codex":0.00004077864,"about_ca_system_score_gemma":0.0000015156979,"threshold_uncertainty_score":0.54986995},"labels":[],"label_agreement":null},{"id":"W1511690701","doi":"10.1029/2008wr007490","title":"Index flood–based multivariate regional frequency analysis","year":2009,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Drought Analysis","field":"Environmental Science","cited_by":107,"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":"Univariate; Quantile; Bivariate analysis; Multivariate statistics; Multivariate analysis; Flood myth; Statistics; Copula (linguistics); Homogeneity (statistics); Index (typography); Bivariate data; Econometrics; Computer science; Mathematics; Geography","score_opus":0.03600302257378379,"score_gpt":0.31942119308212813,"score_spread":0.28341817050834434,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1511690701","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97839516,0.000037674123,0.00084236515,0.003969138,0.000010655269,0.00012970968,0.000002890678,0.00007953855,0.016532838],"genre_scores_gemma":[0.99591744,0.0000039273405,0.000507782,0.00057971745,0.0000656721,0.00001629587,0.000034576264,0.000012723998,0.0028618784],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99656117,0.0006030719,0.00027182174,0.00060742494,0.0011087372,0.0008477521],"domain_scores_gemma":[0.9990085,0.00009618624,0.000032878746,0.0006028386,0.000032898934,0.00022673377],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0016323627,0.0001630411,0.0002673628,0.000535332,0.00051564473,0.00008020081,0.000655764,0.00017776604,0.0074888812],"category_scores_gemma":[0.000049361643,0.00011054103,0.0002346385,0.0018435447,0.00045845553,0.00015810136,0.00016697298,0.0005057446,0.002748989],"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":[0.0003249899,0.0006426035,0.8719524,0.000006876864,0.00063982094,0.00025774166,0.0056595434,0.06780318,0.044471174,0.00009117372,0.0032251673,0.004925304],"study_design_scores_gemma":[0.0012173032,0.00039116718,0.76257515,0.000009847518,0.0003178585,0.000005820477,0.00013663292,0.14175259,0.008838969,0.0104027735,0.073727906,0.00062399777],"about_ca_topic_score_codex":0.003448936,"about_ca_topic_score_gemma":0.00067622936,"teacher_disagreement_score":0.10937728,"about_ca_system_score_codex":0.0001262917,"about_ca_system_score_gemma":0.0000083032855,"threshold_uncertainty_score":0.9980275},"labels":[],"label_agreement":null},{"id":"W1513205438","doi":"10.1029/2005wr004130","title":"An assessment of the tracer‐based approach to quantifying groundwater contributions to streamflow","year":2006,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Groundwater flow and contamination studies","field":"Environmental Science","cited_by":158,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"TRACER; Hydrograph; Streamflow; Groundwater; Hydrology (agriculture); Advection; Surface runoff; Environmental science; Mixing (physics); Event (particle physics); Groundwater flow; Subsurface flow; Flow (mathematics); Storm; Geology; Aquifer; Mechanics; Drainage basin; Geography; Geotechnical engineering","score_opus":0.053959546064681126,"score_gpt":0.37625458882449686,"score_spread":0.32229504275981574,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1513205438","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9697409,0.000005826489,0.021606473,0.0017052505,0.00003873482,0.0007004753,0.000026441418,0.000026922586,0.0061489446],"genre_scores_gemma":[0.994164,2.335125e-7,0.0012707344,0.000115472925,0.000058855687,0.00021611534,0.000022110406,0.000016369015,0.004136096],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99695736,0.0004938202,0.00028692035,0.00043458902,0.0011812019,0.0006461352],"domain_scores_gemma":[0.9991222,0.000060533566,0.000025223555,0.0005485875,0.000104035775,0.00013943043],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001469154,0.00014340472,0.00018150134,0.00014426249,0.00067144213,0.00017382768,0.00067327,0.00005527564,0.0002111397],"category_scores_gemma":[0.000019686884,0.000079489684,0.00007386386,0.00052099413,0.00025095925,0.00013637025,0.0004704761,0.00021615886,0.00015041843],"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":[0.00010445875,0.002037213,0.36301807,0.000056008175,0.000042959815,0.0000059695985,0.009019641,0.0569353,0.5559282,0.00073403714,0.0047647557,0.0073534097],"study_design_scores_gemma":[0.0006564352,0.0003879487,0.6844671,0.000027944912,0.000015638356,0.00000248769,0.0012404477,0.008339966,0.1334841,0.00013722402,0.17093274,0.0003079767],"about_ca_topic_score_codex":0.0047649387,"about_ca_topic_score_gemma":0.0009504869,"teacher_disagreement_score":0.4224441,"about_ca_system_score_codex":0.00029958648,"about_ca_system_score_gemma":0.0000112306425,"threshold_uncertainty_score":0.7203194},"labels":[],"label_agreement":null},{"id":"W1514860639","doi":"10.1002/2013wr014785","title":"Resolution analysis of tomographic slug test head data: Two‐dimensional radial case","year":2015,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Groundwater flow and contamination 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":"Institut National de la Recherche Scientifique; Geological Survey of Canada","funders":"","keywords":"Slug test; Aquifer; Geology; Tomography; A priori and a posteriori; Hydraulic conductivity; Synthetic data; Inverse problem; Groundwater flow equation; Groundwater flow; Groundwater; Soil science; Geotechnical engineering; Algorithm; Mathematics; Mathematical analysis; Optics; Physics","score_opus":0.12161363022675784,"score_gpt":0.36029186646199823,"score_spread":0.2386782362352404,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1514860639","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9974817,0.00012846253,0.00007776843,0.0006244756,0.000044484903,0.00016930488,0.000068962334,0.000022248132,0.0013826062],"genre_scores_gemma":[0.99622643,0.0000038309217,0.0001486495,0.000029411334,0.00006346679,0.000019603482,0.00014298524,0.000010390941,0.003355227],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99693096,0.00039536392,0.0003091548,0.00051465177,0.0013346617,0.00051520317],"domain_scores_gemma":[0.9987079,0.00019475793,0.000039151815,0.000745217,0.000107661996,0.00020532579],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00289755,0.00012503733,0.0002527042,0.0005321232,0.00032267056,0.00007047267,0.0005243281,0.000054511154,0.000431521],"category_scores_gemma":[0.00014301357,0.000085986656,0.000075073636,0.0014674895,0.0006666011,0.00028066288,0.0015493588,0.00021280415,0.00026840004],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00041332343,0.0008631071,0.89079696,0.00002894568,0.0010001296,0.0014907247,0.021904156,0.020465845,0.02247892,0.000039729555,0.020127703,0.02039048],"study_design_scores_gemma":[0.004829492,0.0013360509,0.26746938,0.000047485028,0.0009701865,0.0004971538,0.0045163385,0.23032609,0.008647707,0.00057187903,0.4796903,0.001097946],"about_ca_topic_score_codex":0.011627729,"about_ca_topic_score_gemma":0.0063318363,"teacher_disagreement_score":0.62332755,"about_ca_system_score_codex":0.000121096484,"about_ca_system_score_gemma":0.000010101572,"threshold_uncertainty_score":0.99495393},"labels":[],"label_agreement":null},{"id":"W1514977837","doi":"10.1029/2007wr005950","title":"Influence of subhumid climate and water table depth on groundwater recharge in shallow outwash aquifers","year":2008,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Groundwater and Isotope Geochemistry","field":"Earth and Planetary Sciences","cited_by":69,"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","funders":"","keywords":"Groundwater recharge; Water table; Outwash plain; Hydrology (agriculture); Aquifer; Groundwater; Depression-focused recharge; Snowmelt; Canopy interception; MODFLOW; Environmental science; Precipitation; Interception; Geology; Groundwater model; Glacial period; Soil science; Geomorphology; Soil water; Snow; Geography; Throughfall","score_opus":0.04084818879207554,"score_gpt":0.265776665048471,"score_spread":0.22492847625639545,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1514977837","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9925652,0.00012685773,4.0997466e-7,0.00020155085,0.000030015282,0.0002561406,0.000022424618,0.000026290185,0.0067710862],"genre_scores_gemma":[0.99747676,0.0002517767,0.000034941415,0.00007579251,0.000055075674,0.0000088746865,0.00011815095,0.000011652979,0.0019669533],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9966777,0.0002657372,0.00039564827,0.00055328954,0.0007820585,0.001325555],"domain_scores_gemma":[0.999178,0.0000956391,0.000025228419,0.00038932488,0.000103266044,0.00020852816],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0015343635,0.00021845636,0.00031465862,0.0003462383,0.00033968568,0.00010419496,0.00047337357,0.00015013317,0.0009240528],"category_scores_gemma":[0.000029931429,0.00012559668,0.00004612561,0.00022591547,0.00048492075,0.00032454182,0.00015154424,0.0005308854,0.0005351173],"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":[0.00033870956,0.00006048618,0.96976966,0.00015017398,0.000012399652,0.00014021709,0.006462568,0.0011141229,0.021302527,0.000002284534,0.0000705231,0.00057635835],"study_design_scores_gemma":[0.000984671,0.00058329816,0.6964884,0.00012361839,0.000004735518,0.00009034691,0.00053242146,0.00057827693,0.28321522,0.00028011246,0.016720232,0.0003987011],"about_ca_topic_score_codex":0.007210053,"about_ca_topic_score_gemma":0.0016003045,"teacher_disagreement_score":0.27328128,"about_ca_system_score_codex":0.00001592329,"about_ca_system_score_gemma":0.000015963997,"threshold_uncertainty_score":0.9999892},"labels":[],"label_agreement":null},{"id":"W1516929154","doi":"10.1029/2010wr009167","title":"Assessment of climate change impacts at the catchment scale with a detailed hydrological model of surface‐subsurface interactions and comparison with a land surface model","year":2011,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":133,"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; Environment and Climate Change Canada; Geological Survey of Canada; Institut National de la Recherche Scientifique","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Groundwater recharge; Surface runoff; Hydrology (agriculture); Environmental science; Hydrograph; Drainage basin; Climate change; Aquifer; Streamflow; Water cycle; Climate model; Runoff curve number; Groundwater; Geology; Geography","score_opus":0.0945551818462423,"score_gpt":0.33151139116214023,"score_spread":0.23695620931589795,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1516929154","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9915506,0.000044836026,0.00018811807,0.0006179442,0.000005182459,0.00063590496,0.000016084236,0.000015546711,0.006925756],"genre_scores_gemma":[0.99777037,0.0001433427,0.0014377729,0.000031009247,0.0000032002465,0.000046783243,0.0000047744825,0.000014332429,0.0005484071],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9979336,0.0002590635,0.00024589748,0.00038216237,0.00058550143,0.00059377676],"domain_scores_gemma":[0.9993471,0.00007244757,0.00008813076,0.00035837726,0.000032156437,0.00010182638],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00114212,0.00017656315,0.00031512938,0.00004465724,0.00040084755,0.00001791575,0.00028159056,0.00005442995,0.00016431196],"category_scores_gemma":[0.0000031890409,0.000080532154,0.00003121924,0.00014437013,0.0012610275,0.00014673854,0.0011237791,0.00028882394,0.000018157265],"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":[0.0005827332,0.0002128712,0.75346005,0.00003652005,0.00006664042,0.0000036125396,0.016876126,0.22315921,0.0055342177,0.000005371571,0.000034533292,0.000028136757],"study_design_scores_gemma":[0.0011992662,0.0012903193,0.2413264,0.000067656656,0.00009032035,0.0000076014253,0.0011834071,0.73310655,0.021183379,0.00015545439,0.00013851651,0.0002511425],"about_ca_topic_score_codex":0.001403167,"about_ca_topic_score_gemma":0.0039469786,"teacher_disagreement_score":0.5121336,"about_ca_system_score_codex":0.00008205546,"about_ca_system_score_gemma":0.000004686688,"threshold_uncertainty_score":0.46463087},"labels":[],"label_agreement":null},{"id":"W1520073793","doi":"10.1029/2011wr011423","title":"Simulating streamflow and dissolved organic matter export from a forested watershed","year":2012,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":46,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"Institute for Biospheric Studies, Yale University; Schlumberger Foundation; U.S. Department of Energy; National Science Foundation","keywords":"Surface runoff; Environmental science; Streamflow; Hydrology (agriculture); Dissolved organic carbon; Watershed; Leaching (pedology); Drainage basin; Discharge; Soil water; Precipitation; Catchment hydrology; Soil science; Geology; Ecology; Oceanography; Geography","score_opus":0.0320709779091985,"score_gpt":0.2829342363575452,"score_spread":0.2508632584483467,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1520073793","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99230826,0.000058410486,0.000027014574,0.0011464539,0.00004374128,0.00029793943,0.000003811055,0.00004770478,0.006066645],"genre_scores_gemma":[0.99479115,0.000011539222,0.00013981368,0.00019056138,0.000114611634,0.00004135394,0.000036569283,0.000029302739,0.0046451236],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9974811,0.00026388135,0.0002225431,0.0004220826,0.0004982922,0.0011121033],"domain_scores_gemma":[0.9993056,0.00011571695,0.000024855295,0.00034426033,0.000010068612,0.00019946788],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00096940395,0.00018506506,0.00020000724,0.00009190107,0.0005553233,0.00008287579,0.00028613163,0.00009647398,0.008009875],"category_scores_gemma":[0.000028545133,0.00011692077,0.000036165406,0.00013810329,0.00048563862,0.00032790253,0.0015442056,0.0002849967,0.0033339895],"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":[0.000062573825,0.00006401131,0.9606229,0.00001287199,0.000053095828,0.000013577738,0.017188597,0.000051336152,0.01983991,0.000001294049,0.0016493103,0.0004405094],"study_design_scores_gemma":[0.00088986964,0.00011494104,0.9207295,0.000023270786,0.000037478952,0.000004296363,0.0018065834,0.0010757928,0.020898875,0.00088651845,0.053122144,0.00041069658],"about_ca_topic_score_codex":0.0009067609,"about_ca_topic_score_gemma":0.00010516782,"teacher_disagreement_score":0.051472835,"about_ca_system_score_codex":0.00006629702,"about_ca_system_score_gemma":8.685482e-7,"threshold_uncertainty_score":0.997442},"labels":[],"label_agreement":null},{"id":"W1523238182","doi":"10.1029/2012wr012455","title":"The influence of land‐use composition on fecal contamination of riverine source water in southern British Columbia","year":2012,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Fecal contamination and water quality","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":"University of Victoria","funders":"Natural Sciences and Engineering Research Council of Canada; Ministry of Environment; Public Health Agency of Canada","keywords":"Land use; Environmental science; Fecal coliform; Agricultural land; Water quality; Contamination; Hydrology (agriculture); Agriculture; Drainage basin; Land use, land-use change and forestry; Water resource management; Geography; Ecology; Biology","score_opus":0.029356324078516884,"score_gpt":0.28431264273660417,"score_spread":0.25495631865808727,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1523238182","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9990509,0.000007854461,0.0000096881095,0.00014794809,0.000016646916,0.00029080894,0.000012631812,0.000010306832,0.00045318808],"genre_scores_gemma":[0.9957368,0.000005817529,0.000010497151,0.000028561517,0.000017808634,0.000021751519,0.000019642906,0.000010805034,0.00414831],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9974836,0.0007441666,0.00032311262,0.00018207227,0.0007860388,0.00048097942],"domain_scores_gemma":[0.9993843,0.00020260319,0.000042627114,0.00022877987,0.00005821051,0.00008347561],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024729588,0.00007069861,0.00014214769,0.000050175273,0.00020991606,0.0001296375,0.0002817153,0.00007023646,0.00039309612],"category_scores_gemma":[0.000060873143,0.00005197669,0.000039281716,0.00013662112,0.00056786224,0.00023239467,0.00029838475,0.00023809068,0.00020849063],"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":[0.00013352634,0.00024674868,0.9043163,0.000029236871,0.0000073933056,0.0000031690827,0.01568013,0.000809038,0.07353578,0.0000049399637,0.000104244034,0.005129516],"study_design_scores_gemma":[0.0005659145,0.00015684347,0.945645,0.00005234383,0.0000026833216,0.000003370583,0.0004616481,0.00024087781,0.04212995,0.000076414515,0.010563651,0.00010130203],"about_ca_topic_score_codex":0.067336425,"about_ca_topic_score_gemma":0.015602072,"teacher_disagreement_score":0.051734354,"about_ca_system_score_codex":0.0001112412,"about_ca_system_score_gemma":0.0000019336474,"threshold_uncertainty_score":0.93887424},"labels":[],"label_agreement":null},{"id":"W1525068423","doi":"10.1029/2004wr003853","title":"Long‐lead probabilistic forecasting of streamflow using ocean‐atmospheric and hydrological predictors","year":2006,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":55,"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":"Natural Sciences and Engineering Research Council of Canada","keywords":"Streamflow; Kriging; Variogram; Climatology; Extrapolation; North Atlantic oscillation; Linear regression; Probabilistic forecasting; Environmental science; Probabilistic logic; Mathematics; Statistics; Meteorology; Geography; Drainage basin; Geology","score_opus":0.04143966785154818,"score_gpt":0.26818221426305927,"score_spread":0.2267425464115111,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1525068423","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99306464,0.00007383437,0.00005342749,0.00015309987,0.000019363812,0.00030833174,0.000002122968,0.000028053024,0.0062971413],"genre_scores_gemma":[0.99793446,0.000008369442,0.0005164478,0.000013385074,0.000045175686,0.00000940566,0.0000048666693,0.000012901524,0.0014549599],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9980042,0.00023255307,0.00024646157,0.00040246564,0.00047197862,0.00064235413],"domain_scores_gemma":[0.99958736,0.00010828782,0.00003625018,0.00019294406,0.00001600193,0.000059140613],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00097599864,0.00013785211,0.00019577751,0.00003346362,0.00037405,0.00003169901,0.00023470401,0.0000872461,0.00039275],"category_scores_gemma":[0.000058517664,0.000087648295,0.000035455374,0.00020966712,0.001352215,0.00010195597,0.000922969,0.00021779741,0.000041971307],"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":[0.00009627317,0.00013056504,0.9644345,0.00007843818,0.000028203774,0.000060773444,0.0014694236,0.03054786,0.0020137755,0.000010582661,0.0004646799,0.0006649451],"study_design_scores_gemma":[0.0023083345,0.0019809355,0.4942888,0.00015115374,0.00014609112,0.00008781455,0.0008485994,0.45252946,0.012178362,0.015783427,0.018691387,0.0010056326],"about_ca_topic_score_codex":0.0011692301,"about_ca_topic_score_gemma":0.00010234563,"teacher_disagreement_score":0.4701457,"about_ca_system_score_codex":0.00006149313,"about_ca_system_score_gemma":0.0000018928987,"threshold_uncertainty_score":0.49822924},"labels":[],"label_agreement":null},{"id":"W1525978034","doi":"10.1029/2008wr007031","title":"Ensemble Kalman filter data assimilation for a process‐based catchment scale model of surface and subsurface flow","year":2009,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":131,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"Natural Sciences and Engineering Research Council of Canada; Università degli Studi di Padova; Ministero dell’Istruzione, dell’Università e della Ricerca","keywords":"Data assimilation; Ensemble Kalman filter; Streamflow; Pressure head; Subsurface flow; Environmental science; Richards equation; Kalman filter; Geology; Drainage basin; Meteorology; Soil science; Mathematics; Groundwater; Soil water; Geotechnical engineering; Extended Kalman filter; Statistics; Engineering; Geography","score_opus":0.08712275192853482,"score_gpt":0.339506994028621,"score_spread":0.2523842421000862,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1525978034","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9907294,0.000034349905,0.00232663,0.0040452885,0.0000091617,0.0006342446,0.000032653712,0.000020588564,0.0021676908],"genre_scores_gemma":[0.99422884,0.000013789819,0.0038789352,0.00012897258,0.00001140043,0.0000223174,0.00006745024,0.000009641956,0.0016386525],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998281,0.00010143066,0.00018692881,0.00048243595,0.00046800156,0.00048021058],"domain_scores_gemma":[0.99934113,0.00005969851,0.000029605186,0.00047179978,0.000027578393,0.00007016569],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013996037,0.00011855246,0.00016412075,0.000056082077,0.00031947205,0.000032182594,0.00043735377,0.00006380643,0.00008678689],"category_scores_gemma":[0.000021338205,0.00008297726,0.000021616237,0.000111840964,0.00029382034,0.00020289276,0.00044204306,0.00012516952,0.000026531425],"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":[0.000842042,0.00045268537,0.059236627,0.00025186618,0.00005603174,0.0000045678908,0.017905803,0.81838995,0.08415823,0.000008007617,0.013439702,0.005254465],"study_design_scores_gemma":[0.00065395015,0.0002665356,0.003721704,0.000018729743,0.000018229137,3.593372e-7,0.00016866562,0.92213804,0.06627223,0.0019490233,0.00463957,0.00015298203],"about_ca_topic_score_codex":0.000081084196,"about_ca_topic_score_gemma":0.00008573838,"teacher_disagreement_score":0.10374805,"about_ca_system_score_codex":0.000035213365,"about_ca_system_score_gemma":0.0000046857895,"threshold_uncertainty_score":0.33837146},"labels":[],"label_agreement":null},{"id":"W1527293499","doi":"10.1029/2003wr002582","title":"A model of rapid preferential hillslope runoff contributions to peak flow generation in a temperate rain forest watershed","year":2004,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":76,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Surface runoff; Hydrology (agriculture); Environmental science; Storm; Watershed; Streamflow; Ecohydrology; Return period; Infiltration (HVAC); Precipitation; Interflow; Groundwater; Geology; Drainage basin; Flood myth; Meteorology; Ecology; Geography; Ecosystem","score_opus":0.04798144119373554,"score_gpt":0.29995526995397487,"score_spread":0.2519738287602393,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1527293499","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99251455,0.000014279132,0.00091268163,0.0040688734,0.000029542309,0.0007367365,0.000029676592,0.000022756185,0.0016708951],"genre_scores_gemma":[0.9977413,0.000025637783,0.00041982456,0.00012011302,0.000054652995,0.00019189953,0.0000863307,0.00001528587,0.0013449712],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9976344,0.0002811048,0.00032919008,0.00044853898,0.00054086815,0.0007658843],"domain_scores_gemma":[0.9994907,0.000017671387,0.00002183437,0.00030435162,0.00004689035,0.00011855624],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014606748,0.00015585215,0.00022578034,0.00027838352,0.00036248256,0.000051742718,0.00036934597,0.000097045486,0.00036372105],"category_scores_gemma":[0.000067022076,0.00010844601,0.000053344436,0.000308513,0.00034353964,0.00017366881,0.0008007943,0.00025473905,0.0004235034],"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":[0.0002259638,0.00018802106,0.0048266063,0.000017034086,0.000033777636,0.000008626932,0.014787526,0.78857064,0.18960598,0.00009946549,0.0013253952,0.00031097938],"study_design_scores_gemma":[0.009335844,0.0017508416,0.022910986,0.0001108372,0.00005628164,0.000004930677,0.00096049614,0.47503507,0.44394365,0.010281458,0.03447182,0.0011377846],"about_ca_topic_score_codex":0.0013630172,"about_ca_topic_score_gemma":0.0028611554,"teacher_disagreement_score":0.31353554,"about_ca_system_score_codex":0.0002602057,"about_ca_system_score_gemma":0.000009983912,"threshold_uncertainty_score":0.54434204},"labels":[],"label_agreement":null},{"id":"W1527560876","doi":"10.1002/wrcr.20193","title":"Threshold behavior in a fissured granitic catchment in southern China: 2. Modeling and uncertainty analysis","year":2013,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Watershed Management Studies","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":"Nipissing University","funders":"Natural Science Foundation of Guangdong Province; National Natural Science Foundation of China","keywords":"China; Geology; Drainage basin; Uncertainty analysis; Granitic rock; Geomorphology; Seismology; Hydrology (agriculture); Geochemistry; Geotechnical engineering; Geography; Archaeology; Cartography; Statistics","score_opus":0.03074296220046851,"score_gpt":0.28651870495522375,"score_spread":0.25577574275475523,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1527560876","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.996778,0.000058060727,0.000011914422,0.0011823664,0.000007353356,0.0005095974,0.0000021559993,0.000013907171,0.0014366115],"genre_scores_gemma":[0.9981815,0.000026194803,0.000019661153,0.000045020504,0.000008778064,0.00032971211,0.0000086904965,0.000009305725,0.0013710996],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9980511,0.00021190249,0.00022678274,0.00042908473,0.0004084855,0.0006726111],"domain_scores_gemma":[0.99964553,0.000024684665,0.000012172544,0.0002335527,0.000008183485,0.000075850934],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010925428,0.00012833212,0.00021757405,0.0004182891,0.0001960898,0.000068986505,0.00024941168,0.000067485526,0.00078676676],"category_scores_gemma":[0.00001089123,0.000086694046,0.000040643452,0.0005097965,0.00029059508,0.0001118127,0.0006456441,0.0003162976,0.00034628814],"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":[0.000030852218,0.00010644794,0.8666631,0.000010589703,0.000044817803,0.0000414895,0.031790726,0.10029941,0.000603287,0.0000023409323,0.000037002043,0.00036995707],"study_design_scores_gemma":[0.0011653939,0.00015367648,0.5988459,0.00002308966,0.000100937206,0.0000016695313,0.006387971,0.38945028,0.0001495602,0.0027849295,0.0005414962,0.00039506474],"about_ca_topic_score_codex":0.055845942,"about_ca_topic_score_gemma":0.012339845,"teacher_disagreement_score":0.2891509,"about_ca_system_score_codex":0.00010354971,"about_ca_system_score_gemma":0.0000011646025,"threshold_uncertainty_score":0.95044124},"labels":[],"label_agreement":null},{"id":"W1527848895","doi":"10.1029/2009wr008583","title":"Numerical simulations of gravity‐driven fingering in unsaturated porous media using a nonequilibrium model","year":2010,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Soil and Unsaturated Flow","field":"Engineering","cited_by":30,"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":"","keywords":"Porous medium; Non-equilibrium thermodynamics; Mechanics; Viscous fingering; Porosity; Geology; Statistical physics; Materials science; Geotechnical engineering; Physics; Thermodynamics","score_opus":0.04579404301281675,"score_gpt":0.30135531476021343,"score_spread":0.2555612717473967,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1527848895","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9987459,0.000045131183,0.00017922389,0.000043651744,0.00012134553,0.0001586879,0.000015224769,0.00011040725,0.0005804001],"genre_scores_gemma":[0.998628,0.0000043274613,0.0011260918,0.0000031070554,0.000099924626,0.000008122821,0.00002724519,0.000052579573,0.00005056555],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99817616,0.00008256218,0.00033750053,0.0002425637,0.0004941876,0.0006670557],"domain_scores_gemma":[0.9992155,0.00016017702,0.000016607462,0.00032877308,0.0001461426,0.00013280187],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036411328,0.00016054105,0.00025266982,0.0005451043,0.00008205358,0.00006602278,0.00031652852,0.00021187072,0.00006187152],"category_scores_gemma":[0.00009926215,0.00012838983,0.000046840472,0.00068805576,0.00012973513,0.00016164317,0.00010882779,0.0011436641,0.00001683313],"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":[0.000022011345,0.000022050197,0.0011180005,0.000033211883,0.000010125799,0.0000146685525,0.00382019,0.6064653,0.38823152,0.0000050992667,0.000012259545,0.00024555554],"study_design_scores_gemma":[0.00029512632,0.000013615677,0.00076489494,0.000037713846,0.0000037267118,0.0000061405626,0.000088633285,0.9462354,0.05203392,0.0001601301,0.00020810535,0.00015255058],"about_ca_topic_score_codex":0.000417972,"about_ca_topic_score_gemma":0.00020122268,"teacher_disagreement_score":0.33977014,"about_ca_system_score_codex":0.000046212743,"about_ca_system_score_gemma":0.000024438992,"threshold_uncertainty_score":0.5235585},"labels":[],"label_agreement":null},{"id":"W1528483814","doi":"10.1029/2011wr011527","title":"Review of surrogate modeling in water resources","year":2012,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Advanced Multi-Objective Optimization Algorithms","field":"Computer Science","cited_by":961,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Surrogate model; Computer science; Metamodeling; Variety (cybernetics); Fidelity; Field (mathematics); Management science; Data science; Systems engineering; Operations research; Risk analysis (engineering); Machine learning; Artificial intelligence; Engineering; Software engineering","score_opus":0.09503813210406548,"score_gpt":0.3663211718458375,"score_spread":0.27128303974177204,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1528483814","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.69188154,0.044716213,0.24682075,0.0038278857,0.0004048427,0.0022322172,0.000008038881,0.00033541452,0.00977312],"genre_scores_gemma":[0.9498157,0.0050983187,0.042549934,0.00041449582,0.00021242,0.00015466796,0.000017986395,0.00006826893,0.001668245],"study_design_codex":"qualitative","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99567735,0.0008730956,0.00059087604,0.00050979026,0.0010283797,0.0013204877],"domain_scores_gemma":[0.9982265,0.00013180831,0.00004933559,0.0008730584,0.00049874774,0.00022052869],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004666636,0.00020250173,0.00037879864,0.0006527317,0.00017796765,0.00009023738,0.0013362587,0.00009231343,0.00011681508],"category_scores_gemma":[0.00018871507,0.00012597327,0.000088887515,0.0007581406,0.00016749589,0.00088744715,0.0013137977,0.0005266656,0.00024262359],"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":[0.00050796085,0.0035827262,0.017486777,0.02117663,0.000333088,0.00025872665,0.46035337,0.25604153,0.07907656,0.001953007,0.0015845143,0.1576451],"study_design_scores_gemma":[0.0016937325,0.00021251495,0.00028350877,0.005230625,0.000010714004,0.000049686827,0.00069597113,0.69252956,0.11830175,0.0013708661,0.17870359,0.0009174612],"about_ca_topic_score_codex":0.00019006064,"about_ca_topic_score_gemma":0.000008893598,"teacher_disagreement_score":0.4596574,"about_ca_system_score_codex":0.00012469523,"about_ca_system_score_gemma":0.000014227884,"threshold_uncertainty_score":0.5137041},"labels":[],"label_agreement":null},{"id":"W1530340625","doi":"10.1029/2010wr009515","title":"Geologic heterogeneity representation using high‐order spatial cumulants for subsurface flow and transport simulations","year":2011,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Groundwater flow and contamination studies","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":"McGill University","funders":"","keywords":"Aquifer; Cumulant; Groundwater flow; Gaussian; Geostatistics; Representation (politics); Flow (mathematics); Legendre polynomials; Geology; Applied mathematics; Mathematics; Mathematical optimization; Geotechnical engineering; Groundwater; Spatial variability; Geometry; Mathematical analysis; Physics; Statistics","score_opus":0.14965170480282575,"score_gpt":0.3469826355910461,"score_spread":0.19733093078822034,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1530340625","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9728942,0.000024074208,0.026190702,0.000067359964,0.000040844418,0.0005708713,0.000020729187,0.000026276017,0.00016492803],"genre_scores_gemma":[0.9962386,0.000007261401,0.0025820602,0.000019809218,0.000033102664,0.00004591711,0.000035652163,0.000014438968,0.001023145],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99834776,0.00016624825,0.00020937971,0.00041176434,0.0004208217,0.00044405545],"domain_scores_gemma":[0.9995436,0.00007308516,0.0000253532,0.00020749054,0.00006886499,0.00008158376],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005246483,0.00011822165,0.0001497921,0.00007728629,0.0005602987,0.000039632512,0.00016067842,0.000068573165,0.0005903258],"category_scores_gemma":[0.00002521594,0.000085188774,0.000034818273,0.00014896793,0.0003164826,0.00019276852,0.00018806581,0.00010411485,0.000049476123],"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":[0.00023471299,0.00015474201,0.9046561,0.00004790448,0.000055245924,0.000015471205,0.022010302,0.015150205,0.045726802,0.000005933769,0.000028299655,0.011914288],"study_design_scores_gemma":[0.0013301944,0.00027681945,0.7645699,0.00002914754,0.000039463004,0.0000084661415,0.0006636331,0.10861577,0.11976712,0.00069508055,0.003627447,0.00037700025],"about_ca_topic_score_codex":0.006765512,"about_ca_topic_score_gemma":0.0023483722,"teacher_disagreement_score":0.14008623,"about_ca_system_score_codex":0.000051499235,"about_ca_system_score_gemma":0.0000036196452,"threshold_uncertainty_score":0.99984854},"labels":[],"label_agreement":null},{"id":"W1531401350","doi":"10.1029/2010wr010266","title":"Two‐component mixtures of normal, gamma, and Gumbel distributions for hydrological applications","year":2011,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Drought Analysis","field":"Environmental Science","cited_by":60,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hydro-Québec","funders":"","keywords":"Gumbel distribution; Independent and identically distributed random variables; Marginal distribution; Skewness; Gamma distribution; Mathematics; Mixture model; Applied mathematics; Generalized gamma distribution; Bayesian probability; Computer science; Statistical physics; Statistics; Random variable; Extreme value theory","score_opus":0.04875114676246468,"score_gpt":0.3113785347523568,"score_spread":0.2626273879898921,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1531401350","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98625857,0.0000876909,0.0021713322,0.00034466738,0.0000051524057,0.00033550896,0.000027835269,0.000014921533,0.0107543375],"genre_scores_gemma":[0.99793756,0.000020070498,0.0010069157,0.000026145804,0.0000281397,0.00025119598,0.00003601656,0.0000056505282,0.0006882784],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99872226,0.00015111091,0.00018550263,0.00028689025,0.000247171,0.0004070605],"domain_scores_gemma":[0.9994734,0.00010261769,0.000024457979,0.0002621326,0.000022135035,0.000115277035],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008151786,0.00007980202,0.00013883591,0.000067973626,0.0003794611,0.000013235975,0.0002987796,0.00008104431,0.0015169972],"category_scores_gemma":[0.000023898046,0.00005206201,0.000062811996,0.0001706065,0.0009672317,0.000058573354,0.00037357083,0.00016900824,0.00015928321],"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":[0.0012300031,0.0021870092,0.6005284,0.00012874359,0.00036415833,0.000030642368,0.018740539,0.0008350729,0.35103235,0.0056330147,0.0058588292,0.013431237],"study_design_scores_gemma":[0.0020139802,0.0010582499,0.124143474,0.000014512917,0.00016175861,0.0000406439,0.00043824347,0.008446637,0.30040014,0.058326792,0.50432616,0.0006294432],"about_ca_topic_score_codex":0.0008268165,"about_ca_topic_score_gemma":0.00013557884,"teacher_disagreement_score":0.49846733,"about_ca_system_score_codex":0.000022319466,"about_ca_system_score_gemma":0.0000021874034,"threshold_uncertainty_score":0.9993957},"labels":[],"label_agreement":null},{"id":"W1531637292","doi":"10.1029/2007wr006043","title":"Correlation between pressure gradient and phase saturation for oil‐water flow in smooth‐ and rough‐walled parallel‐plate models","year":2008,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydraulic Fracturing and Reservoir Analysis","field":"Engineering","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 Calgary","funders":"","keywords":"Pressure gradient; Flow coefficient; Saturation (graph theory); Relative permeability; Two-phase flow; Materials science; Flow (mathematics); Volumetric flow rate; Mechanics; Viscosity; Permeability (electromagnetism); Fracture (geology); Geotechnical engineering; Geology; Composite material; Chemistry; Mathematics; Physics; Porosity","score_opus":0.04264094499554865,"score_gpt":0.28728362187186485,"score_spread":0.2446426768763162,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1531637292","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9933213,0.00092918106,0.0046505304,0.00037657755,0.000026043952,0.0002728927,0.00001350109,0.00006817207,0.00034182883],"genre_scores_gemma":[0.9970231,0.00046219944,0.00041837478,0.000005484975,0.000120776145,0.00009317504,0.00013562331,0.00003489842,0.0017063544],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998329,0.00013384047,0.00028619252,0.00032054578,0.00035957198,0.00057083665],"domain_scores_gemma":[0.9994689,0.000107310196,0.000012276631,0.00020717709,0.000065045555,0.00013926001],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006684756,0.00016757443,0.0002700625,0.00036810752,0.00028409914,0.00009959078,0.000108679866,0.00016661554,0.000017242079],"category_scores_gemma":[0.000019522684,0.000107908076,0.00004914395,0.000116465824,0.000103416765,0.00025153314,0.000081796796,0.0003869191,0.000008463225],"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":[0.00014818906,0.000031204578,0.000788813,0.00020738908,0.000104221515,0.000021790549,0.018753476,0.9740728,0.0011633799,0.0000014887237,0.00020607928,0.0045011635],"study_design_scores_gemma":[0.0017242503,0.00009067166,0.00076286454,0.00004165144,0.000026091666,0.000007696627,0.000067767076,0.9720393,0.0035732212,0.00039608445,0.02109078,0.00017963168],"about_ca_topic_score_codex":0.00022732292,"about_ca_topic_score_gemma":0.000068968504,"teacher_disagreement_score":0.0208847,"about_ca_system_score_codex":0.00003965355,"about_ca_system_score_gemma":0.000004179223,"threshold_uncertainty_score":0.44003636},"labels":[],"label_agreement":null},{"id":"W1532924711","doi":"10.1029/2005wr004224","title":"Plume persistence due to aquitard back diffusion following dense nonaqueous phase liquid source removal or isolation","year":2005,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Groundwater flow and contamination studies","field":"Environmental Science","cited_by":312,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Aquifer; Plume; Geology; Advection; Silt; Trichloroethylene; Artesian aquifer; Soil science; Groundwater; Piezometer; Hydrology (agriculture); Geotechnical engineering; Geomorphology; Environmental chemistry; Chemistry; Meteorology; Geography","score_opus":0.04926963781550788,"score_gpt":0.31428003749570826,"score_spread":0.2650103996802004,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1532924711","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9893318,0.00006171848,0.0038751347,0.0026418304,0.00006910465,0.00052550616,0.0000034250727,0.000066287,0.0034251895],"genre_scores_gemma":[0.890149,0.000007860195,0.0011134559,0.00032769184,0.00018464439,0.000057887326,0.000010775915,0.00003341036,0.10811527],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.99622405,0.00033820877,0.00035662315,0.00068925304,0.0014060204,0.0009858655],"domain_scores_gemma":[0.9990544,0.00012355257,0.00003245657,0.0004425656,0.00004930103,0.00029772532],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0012767686,0.0002339,0.00026182178,0.00020913436,0.000920775,0.00021961592,0.0005607266,0.00010291284,0.002870053],"category_scores_gemma":[0.00009572132,0.00015762782,0.00013386029,0.00043738753,0.00021014782,0.0003698518,0.0011721717,0.0003050471,0.007809337],"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":[0.0036006477,0.00077325536,0.0037283145,0.000051446907,0.00010099071,0.0008322255,0.12691431,0.0022243487,0.61314124,0.0000035617427,0.007423839,0.24120584],"study_design_scores_gemma":[0.001406862,0.0010880413,0.0010568233,0.000053188607,0.00001705425,0.00011774342,0.0028619864,0.0057146065,0.023423418,0.000006790907,0.96386594,0.00038752035],"about_ca_topic_score_codex":0.00052945374,"about_ca_topic_score_gemma":0.00076207117,"teacher_disagreement_score":0.9564421,"about_ca_system_score_codex":0.0004513579,"about_ca_system_score_gemma":0.000009332866,"threshold_uncertainty_score":0.99804145},"labels":[],"label_agreement":null},{"id":"W1532996006","doi":"10.1002/wrcr.20202","title":"Analysis of changing pan evaporation in the arid region of Northwest China","year":2013,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":124,"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":"National Key Research and Development Program of China","keywords":"Arid; China; Evaporation; Environmental science; Reversion; Aerodynamics; Geography; Climatology; Atmospheric sciences; Meteorology; Geology; Engineering; Archaeology; Chemistry; Paleontology; Aerospace engineering","score_opus":0.022255525895693812,"score_gpt":0.2616989987816128,"score_spread":0.23944347288591897,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1532996006","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9963835,0.000009340882,0.00003995134,0.00031613995,0.000005136682,0.00021899396,0.0000044390235,0.000003571107,0.003018924],"genre_scores_gemma":[0.99946976,0.000013251704,0.000016048501,0.000007665921,0.0000071065774,0.000026515154,0.00006184976,0.000004184996,0.00039362002],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985772,0.0002431342,0.00021337706,0.00015178492,0.0005510341,0.00026347034],"domain_scores_gemma":[0.9995935,0.000044194054,0.00004371252,0.0002768909,0.000017586393,0.000024120573],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001061352,0.000057081037,0.00012766775,0.00047245005,0.00008963309,0.000032514847,0.0003059655,0.000042123833,0.00021234891],"category_scores_gemma":[0.000012140995,0.000031425287,0.00005303487,0.0013831074,0.00018331833,0.00012340817,0.00015006008,0.0001518172,0.00003868075],"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":[0.000015733684,0.000098375865,0.9184068,0.000012883293,0.0000511678,0.0000073257183,0.033107508,0.034414627,0.010481545,0.000047361904,0.000026855787,0.0033298216],"study_design_scores_gemma":[0.00010605486,0.00006070904,0.8548744,0.000011869255,0.000030306472,0.0000029500961,0.0008756886,0.14145885,0.0015309028,0.00032586523,0.00065169897,0.00007073355],"about_ca_topic_score_codex":0.012828312,"about_ca_topic_score_gemma":0.0023511546,"teacher_disagreement_score":0.10704422,"about_ca_system_score_codex":0.000039858405,"about_ca_system_score_gemma":0.0000019328338,"threshold_uncertainty_score":0.9937453},"labels":[],"label_agreement":null},{"id":"W1534253835","doi":"10.1029/2006wr005027","title":"A comparative study of the turbulent flow field with and without a pebble cluster in a gravel bed river","year":2007,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Sediment Transport Processes","field":"Environmental Science","cited_by":67,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"Canada Research Chairs","keywords":"Pebble; Strouhal number; Turbulence; Eddy; Cluster (spacecraft); Flow (mathematics); Turbulence kinetic energy; Geology; Wake; Mechanics; Physics; Meteorology; Geomorphology","score_opus":0.033776136117838286,"score_gpt":0.3100996129345433,"score_spread":0.276323476816705,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1534253835","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99750125,0.000019792622,0.000024129326,0.00047499355,0.000005434441,0.0005625675,4.7573315e-7,0.0000048213415,0.0014065369],"genre_scores_gemma":[0.9992931,0.0000021076141,0.0000676946,0.00007816644,0.000006929704,0.000023607552,6.4753954e-7,0.0000050858266,0.0005226803],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99855167,0.00016965554,0.00015882267,0.00025115738,0.0005173091,0.00035136042],"domain_scores_gemma":[0.9996442,0.00008121184,0.000018770557,0.00018459035,0.000016784634,0.000054413103],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010513114,0.00008702609,0.0001518724,0.000071567774,0.000151474,0.000013172421,0.00024925318,0.00004913489,0.00024011555],"category_scores_gemma":[0.0000066378925,0.000041629006,0.000013115073,0.00022961624,0.00051320874,0.00006635193,0.00017733466,0.0003201924,0.000016376123],"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":[0.00081613945,0.0003359977,0.8531683,0.0000133374515,0.000018418275,0.000016126452,0.14340259,0.0010837953,0.00096159085,7.535227e-7,0.0000441267,0.00013879852],"study_design_scores_gemma":[0.0038605607,0.0023134646,0.93013597,0.0000685015,0.000021878916,0.000019460836,0.009387811,0.0023158432,0.047480207,0.00025085823,0.003920859,0.00022461185],"about_ca_topic_score_codex":0.0016738422,"about_ca_topic_score_gemma":0.008159836,"teacher_disagreement_score":0.13401479,"about_ca_system_score_codex":0.000025442398,"about_ca_system_score_gemma":0.000004245429,"threshold_uncertainty_score":0.455338},"labels":[],"label_agreement":null},{"id":"W1534634376","doi":"10.1029/2005wr004070","title":"Spatial heterogeneity of near‐bed hydraulics above a patch of river gravel","year":2006,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Sediment Transport Processes","field":"Environmental Science","cited_by":154,"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 Rimouski","funders":"Natural Environment Research Council; Loughborough University","keywords":"Flume; Froude number; Turbulence; Geology; Bedform; Spatial heterogeneity; Turbulence kinetic energy; Hydraulics; Flow (mathematics); Spatial variability; Flow velocity; Hydrology (agriculture); Sediment transport; Mechanics; Sediment; Geomorphology; Geotechnical engineering; Mathematics; Physics","score_opus":0.02254036217536903,"score_gpt":0.275712819446915,"score_spread":0.25317245727154597,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1534634376","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9934897,0.00005530408,0.00012077553,0.00015100201,0.000018956112,0.00019160207,0.000014613477,0.000013761586,0.005944291],"genre_scores_gemma":[0.99921966,0.000012600151,0.00020712323,0.00002157285,0.000031969146,0.000013040602,0.000024542951,0.000013178458,0.0004563381],"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9978345,0.00017518154,0.0003318023,0.000317673,0.00083973433,0.0005010861],"domain_scores_gemma":[0.99948436,0.00005523071,0.000049403192,0.0002969012,0.000038783124,0.0000753419],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007883988,0.00011878771,0.00021906111,0.000070785834,0.00015768246,0.000014088157,0.00042515816,0.0001283069,0.0013760023],"category_scores_gemma":[0.000011825899,0.00008423268,0.000075384,0.00022510307,0.0015459249,0.00008473661,0.00020933735,0.00024071717,0.00019295102],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00032022397,0.0004478891,0.8469658,0.00009373014,0.00003096777,0.00003192708,0.005871694,0.003656184,0.14023992,0.000011228818,0.00027949174,0.0020509197],"study_design_scores_gemma":[0.00059923244,0.0002925869,0.22225381,0.000015199341,0.000012404816,0.0000032885723,0.0000397549,0.0014376163,0.7511989,0.0011284453,0.022869717,0.00014907445],"about_ca_topic_score_codex":0.018814597,"about_ca_topic_score_gemma":0.0024936213,"teacher_disagreement_score":0.624712,"about_ca_system_score_codex":0.000028935432,"about_ca_system_score_gemma":0.000009154667,"threshold_uncertainty_score":0.9995369},"labels":[],"label_agreement":null},{"id":"W1534991942","doi":"10.1029/2008wr007042","title":"Modeling snow accumulation and ablation processes in forested environments","year":2009,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":318,"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":"Snow; Interception; Environmental science; Lysimeter; Throughfall; Boreal; Atmospheric sciences; Taiga; Hydrology (agriculture); Geology; Soil science; Ecology; Forestry; Geomorphology; Soil water; Geography","score_opus":0.10962223658713602,"score_gpt":0.31865891001523855,"score_spread":0.20903667342810253,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1534991942","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9979398,0.00055781374,0.00015321258,0.000509406,0.000010598391,0.00018469653,0.0000027471917,0.000010676856,0.00063104014],"genre_scores_gemma":[0.99924994,0.00025555314,0.00014171812,0.000039440252,0.000043769007,0.0000021584067,0.00005728708,0.0000019286358,0.00020822263],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989705,0.00006247296,0.00014269551,0.00019479872,0.0003266765,0.00030287643],"domain_scores_gemma":[0.99974424,0.00008210847,0.000009746218,0.00008702847,0.000027530761,0.000049323975],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00042537667,0.00006403644,0.000077026336,0.000083399005,0.00025569266,0.000087787615,0.000088615954,0.000039694718,0.00015669178],"category_scores_gemma":[0.0000777444,0.000044175893,0.0000088260695,0.00024983505,0.000040028153,0.0002029734,0.000017111384,0.000120869525,0.000032280102],"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":[0.00006597024,0.000022342207,0.6334459,0.000018936762,0.0000045844668,0.0000045980805,0.0064695287,0.32177836,0.00012881712,0.0000050813305,0.00002237569,0.038033504],"study_design_scores_gemma":[0.00015580158,0.00006471952,0.61385155,0.00001730772,0.0000011233035,6.4696394e-7,0.00038474757,0.38122392,0.000063924366,0.0008867154,0.0032929422,0.00005662197],"about_ca_topic_score_codex":0.0017593085,"about_ca_topic_score_gemma":0.0031894224,"teacher_disagreement_score":0.05944555,"about_ca_system_score_codex":0.0000074481113,"about_ca_system_score_gemma":0.000005829534,"threshold_uncertainty_score":0.26595598},"labels":[],"label_agreement":null},{"id":"W1535226926","doi":"10.1029/2004wr003090","title":"Relationships between spectral optical properties and optically active substances in a clear oligotrophic lake","year":2004,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":39,"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":"","keywords":"Colored dissolved organic matter; Downwelling; Phytoplankton; Environmental science; Eutrophication; Radiative transfer; Atmospheric sciences; Absorption (acoustics); Dissolved organic carbon; Attenuation coefficient; Chlorophyll a; Irradiance; Oceanography; Geology; Chemistry; Physics; Nutrient; Optics","score_opus":0.08688454589698139,"score_gpt":0.26096866527981416,"score_spread":0.17408411938283277,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1535226926","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9710304,0.0002480526,0.0000026977636,0.0010361489,0.000020210637,0.00027615268,0.000018726096,0.000026584526,0.02734102],"genre_scores_gemma":[0.9986915,0.000049371884,0.000121736324,0.0000070400383,0.00015493263,0.000005842692,0.00002201989,0.0000062720155,0.0009412854],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9978193,0.0003245185,0.00025183812,0.0003489655,0.0005758509,0.0006795426],"domain_scores_gemma":[0.9994062,0.0001328336,0.000015687736,0.00016568613,0.000055327408,0.00022423695],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011464661,0.00012397626,0.00020299215,0.0002527643,0.0002967611,0.00022308975,0.0002211169,0.000108539236,0.0004585476],"category_scores_gemma":[0.000094521456,0.00007792835,0.000029934432,0.0002961111,0.00033631737,0.0002465893,0.000070980655,0.0007968689,0.00047936654],"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":[0.0008234448,0.00006006942,0.9672435,0.00014643159,0.000042838845,0.00022589347,0.014403716,0.001607872,0.0003914179,0.00043927433,0.00001737746,0.014598177],"study_design_scores_gemma":[0.0006685844,0.00057741295,0.9816261,0.00010529161,0.000006106014,0.000026874837,0.002665576,0.00047776502,0.0018899164,0.0038512615,0.007868472,0.00023666244],"about_ca_topic_score_codex":0.003351643,"about_ca_topic_score_gemma":0.045839228,"teacher_disagreement_score":0.042487588,"about_ca_system_score_codex":0.000014083136,"about_ca_system_score_gemma":0.000034859495,"threshold_uncertainty_score":0.97157174},"labels":[],"label_agreement":null},{"id":"W1536215266","doi":"10.1029/2006wr005206","title":"Coupling between geochemical reactions and multicomponent gas and solute transport in unsaturated media: A reactive transport modeling study","year":2007,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Groundwater flow and contamination studies","field":"Environmental Science","cited_by":129,"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 British Columbia","funders":"","keywords":"Methane; Vadose zone; Soil gas; Anaerobic oxidation of methane; Dissolution; Advection; Capillary fringe; Environmental chemistry; Environmental science; Chemistry; Soil science; Soil water","score_opus":0.056961573363210886,"score_gpt":0.3113847887178082,"score_spread":0.25442321535459733,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1536215266","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9982979,0.000045477605,0.00073149573,0.00023494696,0.000015061034,0.00048153574,0.000004845779,0.000029546805,0.00015913634],"genre_scores_gemma":[0.99956733,0.000026618463,0.00008000014,0.0000053075064,0.00003830632,0.000037319285,0.000022169233,0.000016820988,0.0002061424],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9976789,0.000074489544,0.00039114355,0.000518618,0.0007096799,0.00062719546],"domain_scores_gemma":[0.99942714,0.00018323208,0.00002132932,0.0001586189,0.000037131354,0.0001725725],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023761683,0.00016325642,0.00024893673,0.00021083222,0.0003398316,0.00003249306,0.00014197429,0.00009120592,0.000029101886],"category_scores_gemma":[0.000017809101,0.00012137561,0.000025557134,0.00025015292,0.00030757193,0.00018819528,0.00014041041,0.0005424103,0.000013373146],"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":[0.00020296719,0.00022493534,0.8765788,0.000017167793,0.000043007825,0.00012164875,0.06263054,0.00068122434,0.056838773,0.0000010794154,0.000001571494,0.0026582908],"study_design_scores_gemma":[0.0015582412,0.00012968466,0.9554145,0.000043775686,0.000033294054,0.000009751468,0.016613938,0.017263232,0.0072159087,0.000067425404,0.0013658784,0.00028440836],"about_ca_topic_score_codex":0.007111958,"about_ca_topic_score_gemma":0.003920353,"teacher_disagreement_score":0.07883567,"about_ca_system_score_codex":0.00014875316,"about_ca_system_score_gemma":0.0000036614142,"threshold_uncertainty_score":0.9994998},"labels":[],"label_agreement":null},{"id":"W1536568527","doi":"10.1002/wrcr.20109","title":"A stochastic model for estimating groundwater and contaminant discharges from fractured rock passive flux meter measurements","year":2013,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Groundwater flow and contamination studies","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 Guelph","funders":"Iran Telecommunication Research Center; Environmental Security Technology Certification Program; Fundação de Amparo à Pesquisa do Estado da Bahia","keywords":"Metre; Groundwater; Environmental science; Flux (metallurgy); Hydrology (agriculture); Soil science; Geology; Geotechnical engineering; Materials science","score_opus":0.0654302308705164,"score_gpt":0.3022087408599329,"score_spread":0.23677850998941646,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1536568527","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7638969,0.000051820854,0.23372184,0.0012823065,0.00004946496,0.0008787114,0.000013223361,0.000027090824,0.00007868536],"genre_scores_gemma":[0.9815894,0.0000010378026,0.0048694294,0.00016789291,0.00007868998,0.0010228185,0.000042114552,0.000033207263,0.0121954465],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99726975,0.0001611136,0.0002988559,0.0005943152,0.00088426913,0.00079167075],"domain_scores_gemma":[0.99921924,0.0001848391,0.000045964895,0.00027287155,0.00010614467,0.00017096984],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005504235,0.00023560745,0.00027238438,0.000094534,0.00071235554,0.0003894197,0.00032015986,0.00008650516,0.00071701093],"category_scores_gemma":[0.00008564196,0.00014158279,0.000061886305,0.0000739126,0.0001959438,0.00045476595,0.000661091,0.00021738045,0.0005470371],"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":[0.00045261157,0.0006355108,0.031292427,0.00018228761,0.00066419085,0.000014779634,0.21059777,0.025660535,0.5701841,0.000011980243,0.02466166,0.13564216],"study_design_scores_gemma":[0.0015500656,0.00025385522,0.0151334815,0.000066818786,0.000049000202,0.0000028339298,0.0016199079,0.95181155,0.020340132,0.0023180223,0.0063568526,0.0004974492],"about_ca_topic_score_codex":0.0022960212,"about_ca_topic_score_gemma":0.00027141327,"teacher_disagreement_score":0.92615104,"about_ca_system_score_codex":0.000136603,"about_ca_system_score_gemma":0.0000032866535,"threshold_uncertainty_score":0.7850767},"labels":[],"label_agreement":null},{"id":"W1537641517","doi":"10.1002/2012wr013442","title":"An efficient framework for hydrologic model calibration on long data periods","year":2013,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":75,"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; Global Institute for Water Security; University of Saskatchewan","funders":"","keywords":"Calibration; Representativeness heuristic; Hydrological modelling; Computer science; Function (biology); Range (aeronautics); Data mining; Statistics; Mathematics; Engineering; Geology","score_opus":0.09718786473352621,"score_gpt":0.3588957380582129,"score_spread":0.2617078733246867,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1537641517","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97788614,0.000011537165,0.01483491,0.003834432,0.00003428688,0.0008572021,0.000009699169,0.00005765524,0.0024741264],"genre_scores_gemma":[0.9953593,0.0000069372454,0.00219536,0.00047605723,0.000068681904,0.0002622422,0.000082059414,0.000018225148,0.0015311391],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9977097,0.00023504898,0.00016264846,0.0006665319,0.00050245476,0.00072361785],"domain_scores_gemma":[0.99880826,0.00011131217,0.00001934527,0.00093417877,0.000013042021,0.000113849426],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0013378154,0.0001349085,0.00013075344,0.00009158414,0.0007551687,0.0001547359,0.0010254685,0.00012201334,0.0010708903],"category_scores_gemma":[0.000068462854,0.00008373416,0.000027216956,0.00011630851,0.0004628147,0.00026178895,0.0012138173,0.00029495833,0.0011262058],"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":[0.00023299729,0.000464024,0.024169363,0.000037461657,0.000045374727,0.000009992561,0.009672288,0.949444,0.0033015895,0.00054730347,0.009496442,0.0025791773],"study_design_scores_gemma":[0.0001652099,0.00033226007,0.00244498,0.000006543339,0.00000554761,4.4877626e-7,0.00015130667,0.98211366,0.0012014194,0.008745715,0.004700577,0.00013235454],"about_ca_topic_score_codex":0.00025821335,"about_ca_topic_score_gemma":0.00003095321,"teacher_disagreement_score":0.032669652,"about_ca_system_score_codex":0.000055546003,"about_ca_system_score_gemma":0.000002026898,"threshold_uncertainty_score":0.9998423},"labels":[],"label_agreement":null},{"id":"W1537714603","doi":"10.1029/2008wr007066","title":"Field comparison of the point velocity probe with other groundwater velocity measurement methods","year":2009,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Groundwater flow and contamination studies","field":"Environmental Science","cited_by":49,"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":"National Council for Scientific Research; Natural Sciences and Engineering Research Council of Canada","keywords":"Permeameter; Borehole; Flow velocity; Vector field; Thermal velocity; Geology; Instrumentation (computer programming); Shear velocity; Flow measurement; Hydraulic conductivity; Materials science; Mechanics; Flow (mathematics); Mineralogy; Geotechnical engineering; Soil science; Soil water; Turbulence; Physics","score_opus":0.08645148520296513,"score_gpt":0.35884674564296076,"score_spread":0.2723952604399956,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1537714603","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96971506,0.0000526892,0.019794289,0.0040809372,0.000036420402,0.0005131877,8.415993e-7,0.000024788982,0.005781803],"genre_scores_gemma":[0.9923475,0.0000012148163,0.0032072542,0.0002642675,0.000027809381,0.00004088596,5.836095e-7,0.0000107675705,0.004099757],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.996495,0.00076652825,0.00028600605,0.00034657883,0.0015900589,0.0005157992],"domain_scores_gemma":[0.9992441,0.00006893242,0.00005194574,0.00045314044,0.00011263499,0.000069226335],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002975006,0.00015299687,0.00023412146,0.000056856,0.00045986052,0.0000795941,0.0005763667,0.00006576624,0.0005543675],"category_scores_gemma":[0.000051011928,0.0000705037,0.000068987494,0.00027151548,0.00038783115,0.0001201081,0.00044601,0.000352587,0.00008811335],"study_design_candidate":"bench_or_experimental","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":[0.0009066418,0.0012205684,0.1667423,0.000079389116,0.00016376907,0.000005047719,0.07936064,0.00025489196,0.32365766,0.0001268307,0.0037932363,0.42368904],"study_design_scores_gemma":[0.0005659949,0.0013727907,0.21180841,0.000054392276,0.00001854394,0.0000036893143,0.001273248,0.00047147553,0.59822476,0.0007924528,0.18517384,0.00024042932],"about_ca_topic_score_codex":0.0014129913,"about_ca_topic_score_gemma":0.0004968496,"teacher_disagreement_score":0.4234486,"about_ca_system_score_codex":0.00019702419,"about_ca_system_score_gemma":0.000007506907,"threshold_uncertainty_score":0.6069935},"labels":[],"label_agreement":null},{"id":"W1538924792","doi":"10.1029/2008wr006880","title":"Spatial and temporal variations in active layer thawing and their implication on runoff generation in peat‐covered permafrost terrain","year":2009,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":212,"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; University of Calgary; Simon Fraser University","funders":"Canadian Foundation for Climate and Atmospheric Sciences; Aurora Research Institute","keywords":"Permafrost; Surface runoff; Bedrock; Geology; Water table; Frost (temperature); Hydrology (agriculture); Terrain; Subsurface flow; Active layer; Spatial distribution; Precipitation; Spatial variability; Soil science; Environmental science; Geomorphology; Groundwater; Geotechnical engineering; Layer (electronics); Meteorology","score_opus":0.0865113171462925,"score_gpt":0.31425826394544437,"score_spread":0.22774694679915186,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1538924792","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99561733,0.00010801524,0.0000048788525,0.0020054867,0.000020196045,0.00030024032,0.0005929185,0.0000075879475,0.0013433654],"genre_scores_gemma":[0.99683946,0.000082458566,0.000011920056,0.00013027737,0.00017560678,0.0000060052826,0.0026719319,0.0000038006308,0.000078530655],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99870527,0.00022523143,0.00016794793,0.00031350993,0.00021802355,0.00037003084],"domain_scores_gemma":[0.99964374,0.000095442854,0.000018944509,0.0001345263,0.000029208888,0.00007813892],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00067920913,0.0001109337,0.00012597829,0.00034181128,0.00021655796,0.00018723932,0.00009652422,0.00008264742,0.00048343907],"category_scores_gemma":[0.00002281682,0.00007486758,0.000014858485,0.00017888124,0.00006186093,0.00021618753,0.000024261284,0.00026540182,0.00002477962],"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":[0.00022858255,0.000046659876,0.8731022,0.000011437118,0.000004292193,0.000011979818,0.044780426,0.00010576234,0.04712555,0.000014518342,0.00008970294,0.03447888],"study_design_scores_gemma":[0.0004299389,0.00022265672,0.969306,0.000021697857,9.607709e-7,0.0000062024815,0.0011073359,0.02303534,0.0032254746,0.00041234048,0.0021193991,0.00011264368],"about_ca_topic_score_codex":0.01730654,"about_ca_topic_score_gemma":0.06318792,"teacher_disagreement_score":0.096203804,"about_ca_system_score_codex":0.000017833872,"about_ca_system_score_gemma":0.000011138116,"threshold_uncertainty_score":0.9892373},"labels":[],"label_agreement":null},{"id":"W1539183186","doi":"10.1029/2006wr005509","title":"Stochastic simulation and spatial estimation with multiple data types using artificial neural networks","year":2007,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Soil Geostatistics and Mapping","field":"Environmental Science","cited_by":15,"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":"University of Calgary","keywords":"Categorical variable; Artificial neural network; Cluster analysis; Covariance; Covariance function; Autocorrelation; Computer science; Spatial analysis; Data mining; Algorithm; Statistics; Machine learning; Mathematics","score_opus":0.10112342545542433,"score_gpt":0.35634018820436764,"score_spread":0.25521676274894334,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1539183186","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6032387,0.000007812853,0.39649972,0.000022984941,0.000018381681,0.00012976072,0.0000034569312,0.000010047152,0.00006915963],"genre_scores_gemma":[0.9973708,3.197561e-7,0.0024166005,0.000011227342,0.000102176135,0.0000016518609,0.000056985475,0.000012314015,0.000027935012],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986942,0.000064875865,0.00013272109,0.00028764358,0.0004342763,0.00038629796],"domain_scores_gemma":[0.999388,0.00024623048,0.000022427419,0.00023893698,0.000019246081,0.00008519221],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010213368,0.00007410295,0.00006988696,0.00006224684,0.00031886413,0.00011709411,0.0001634278,0.00004016344,0.00007989515],"category_scores_gemma":[0.0001118925,0.000051673353,0.000005108422,0.00013174572,0.00022191543,0.00014138603,0.00045376993,0.00016384412,0.000020469139],"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":[0.00012249366,0.00001344918,0.006512197,0.000004160321,0.0000036377598,0.000008698723,0.0006690335,0.92989534,0.00070075993,0.0000026263333,0.0000058253618,0.062061798],"study_design_scores_gemma":[0.00013313469,0.00005665378,0.015265214,0.000009084133,0.000005523117,0.0000039129445,0.00008627636,0.9838633,0.00010247231,0.00014936403,0.0002471634,0.00007790646],"about_ca_topic_score_codex":0.004097676,"about_ca_topic_score_gemma":0.0020429438,"teacher_disagreement_score":0.3941321,"about_ca_system_score_codex":0.00004260863,"about_ca_system_score_gemma":0.0000024088379,"threshold_uncertainty_score":0.6194487},"labels":[],"label_agreement":null},{"id":"W1539509753","doi":"10.1029/2010wr010043","title":"3‐D flow and scour near a submerged wing dike: ADCP measurements on the Missouri River","year":2011,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Sediment Transport Processes","field":"Environmental Science","cited_by":61,"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 Ottawa","funders":"U.S. Geological Survey","keywords":"Geology; Acoustic Doppler current profiler; Transect; Dike; Bathymetry; Flow (mathematics); Turbulence; Geomorphology; Vortex; Mean flow; Weir; Current (fluid); Hydrology (agriculture); Oceanography; Meteorology; Geotechnical engineering; Geography; Geometry","score_opus":0.11822487617100046,"score_gpt":0.2820193992081462,"score_spread":0.16379452303714576,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1539509753","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98042613,0.00007696259,0.0000075150774,0.0009467321,0.000027877986,0.00026193116,0.0000018341942,0.000027177219,0.018223817],"genre_scores_gemma":[0.99789965,0.000021911395,0.00011914508,0.0002592744,0.00003206796,0.00003807131,0.000002619555,0.000017356406,0.0016098968],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99756485,0.0003244189,0.00015653341,0.0003959689,0.0008937574,0.0006644579],"domain_scores_gemma":[0.9994616,0.00004799853,0.000017152879,0.00030426987,0.000019613895,0.0001493733],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0020666139,0.00014056986,0.00011988946,0.000053344247,0.0008570268,0.00005608949,0.0004710482,0.00008831385,0.0061518145],"category_scores_gemma":[0.00004342111,0.00007542944,0.000036005542,0.00016957539,0.0010687344,0.0001324385,0.0002024664,0.0004346254,0.0012249552],"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":[0.0011232296,0.00054423494,0.78322166,0.000068145084,0.00016358815,0.00016776158,0.16115253,0.000951114,0.04112998,0.000026196853,0.0038292666,0.0076223155],"study_design_scores_gemma":[0.0020453676,0.0012332643,0.4952106,0.00016133474,0.00006849345,0.000023707205,0.0012741972,0.0052432856,0.21467178,0.0033485373,0.275822,0.0008974522],"about_ca_topic_score_codex":0.00071402354,"about_ca_topic_score_gemma":0.000105454616,"teacher_disagreement_score":0.28801107,"about_ca_system_score_codex":0.000035465408,"about_ca_system_score_gemma":0.0000053351564,"threshold_uncertainty_score":0.9995527},"labels":[],"label_agreement":null},{"id":"W1539743715","doi":"10.1002/2014wr016019","title":"Microbubble transport in water‐saturated porous media","year":2015,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Groundwater flow and contamination studies","field":"Environmental Science","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Golder Associates (Canada)","funders":"Australian Coal Industry’s Research Program","keywords":"Plume; Bubble; Porous medium; Sparging; Flume; Mechanics; Scaling; Materials science; Porosity; Volumetric flow rate; Flux (metallurgy); Flow (mathematics); Environmental science; Meteorology; Chemistry; Composite material; Physics; Geometry","score_opus":0.05609851181574283,"score_gpt":0.28892434469598105,"score_spread":0.23282583288023823,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1539743715","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98995787,0.00006770504,0.000029641857,0.001127477,0.00007877371,0.00023321906,0.0000027611604,0.000043884604,0.008458663],"genre_scores_gemma":[0.9796265,0.000008261118,0.000052504318,0.00006543236,0.000049467046,0.000053621876,0.00004728283,0.000020152813,0.020076824],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9971448,0.00026502597,0.00028044306,0.00042032785,0.0009804333,0.00090897613],"domain_scores_gemma":[0.9994244,0.000034068114,0.000011226431,0.00027430334,0.000055057197,0.00020095965],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0019258755,0.00015305418,0.0001961238,0.00018668406,0.0001686276,0.000070326016,0.00044732715,0.00009112398,0.0009027624],"category_scores_gemma":[0.000021781654,0.00008760053,0.000034263354,0.0003068886,0.00036339517,0.00022060568,0.00036694802,0.00034417564,0.0035509658],"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":[0.0004794544,0.00044003682,0.3755304,0.000037845748,0.00004393965,0.00079675246,0.29912153,0.0008212281,0.29539624,0.000014882816,0.008163719,0.019153986],"study_design_scores_gemma":[0.001688765,0.00016726047,0.077247195,0.00002276065,0.0000062858076,0.000025173265,0.005129371,0.00015319874,0.18354332,0.0004059145,0.7312177,0.00039303387],"about_ca_topic_score_codex":0.004701611,"about_ca_topic_score_gemma":0.0027236836,"teacher_disagreement_score":0.723054,"about_ca_system_score_codex":0.00025580087,"about_ca_system_score_gemma":0.000006932238,"threshold_uncertainty_score":0.99722487},"labels":[],"label_agreement":null},{"id":"W1539833042","doi":"10.1029/2003wr002576","title":"A physically based model for calculating contributing area on hillslopes and along valley bottoms","year":2003,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":36,"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":"Channel (broadcasting); Flow routing; Flow (mathematics); Geology; Head (geology); Hydrology (agriculture); Routing (electronic design automation); Divergence (linguistics); Geomorphology; Geometry; Computer science; Geotechnical engineering; Mathematics; Telecommunications","score_opus":0.049912778419967725,"score_gpt":0.3024108092116235,"score_spread":0.2524980307916558,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1539833042","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.986812,0.000018109757,0.0037512037,0.0013289135,0.000012752751,0.0005233962,0.000004951058,0.000034123572,0.007514525],"genre_scores_gemma":[0.99730366,0.0000034001484,0.0007015089,0.000336809,0.000018828854,0.00011857929,0.000007052958,0.000016989889,0.0014931667],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99791455,0.00022036469,0.00016585314,0.00044380166,0.00040247056,0.0008529813],"domain_scores_gemma":[0.9993881,0.00028010245,0.000022443033,0.00019507747,0.000020872489,0.00009343279],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018697598,0.00014043217,0.0001738357,0.00007039145,0.0009238176,0.00006752993,0.00017288847,0.000061610284,0.00007761482],"category_scores_gemma":[0.00021162818,0.000093239614,0.000048920585,0.00009645916,0.0003651312,0.00006265692,0.00029248398,0.00020710538,0.00006788137],"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":[0.0010642516,0.0006432826,0.27541947,0.00025636773,0.00031501008,0.0000903784,0.02835884,0.6446108,0.032595884,0.0027268145,0.0045800707,0.009338809],"study_design_scores_gemma":[0.0019290787,0.0003986821,0.0049578324,0.000053654785,0.00002348773,0.0000015103446,0.00033703508,0.9415963,0.012079389,0.0052600717,0.03298356,0.00037936622],"about_ca_topic_score_codex":0.00011054857,"about_ca_topic_score_gemma":0.00006964069,"teacher_disagreement_score":0.2969855,"about_ca_system_score_codex":0.00006434858,"about_ca_system_score_gemma":0.000002826705,"threshold_uncertainty_score":0.71053517},"labels":[],"label_agreement":null},{"id":"W1542699965","doi":"10.1029/2002wr001510","title":"Oxygen 18 fractionation during snowmelt: Implications for spring flood hydrograph separation","year":2002,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":128,"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","funders":"","keywords":"Snowmelt; Hydrograph; Meltwater; Hydrology (agriculture); Environmental science; Spring (device); Flood myth; Streamflow; STREAMS; Snow; Drainage basin; Geology; Geomorphology; Geography","score_opus":0.06584155498731761,"score_gpt":0.33584057298950787,"score_spread":0.2699990180021903,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1542699965","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.974164,0.000049749982,0.0003083348,0.0048918366,0.000035926423,0.00055856287,0.0000035940832,0.00006901818,0.019918956],"genre_scores_gemma":[0.99209875,0.000053205706,0.00022973937,0.00005510054,0.000092787435,0.0004037143,0.000012709044,0.00001516512,0.00703883],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99853283,0.000101124155,0.00017373583,0.0003747664,0.00029761225,0.00051990687],"domain_scores_gemma":[0.9995725,0.000059629358,0.000025459814,0.00025253382,0.00002524035,0.00006462786],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00059533323,0.00010105403,0.00009227076,0.00018402435,0.0012171834,0.00007213253,0.00024464077,0.000066967754,0.0013870633],"category_scores_gemma":[0.000030885127,0.000080252066,0.000056219433,0.00024803105,0.00019995698,0.00027190387,0.00030734146,0.00016286818,0.001180164],"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":[0.0002436017,0.000831917,0.6548012,0.00018123988,0.00037750762,0.000011379089,0.022138959,0.02229363,0.2567909,0.0005839663,0.026499057,0.015246669],"study_design_scores_gemma":[0.0009002577,0.00014991905,0.41469234,0.0000114383565,0.000025525389,0.0000046540945,0.0002182687,0.0063309027,0.022943422,0.0036605333,0.55075437,0.0003083747],"about_ca_topic_score_codex":0.00016895517,"about_ca_topic_score_gemma":0.00009931246,"teacher_disagreement_score":0.52425534,"about_ca_system_score_codex":0.00010310448,"about_ca_system_score_gemma":5.2505675e-7,"threshold_uncertainty_score":0.99959755},"labels":[],"label_agreement":null},{"id":"W1542989663","doi":"10.1029/2009wr008802","title":"Differential peat deformation, compressibility, and water storage between peatland microforms: Implications for ecosystem function and development","year":2010,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Peatlands and Wetlands Ecology","field":"Environmental Science","cited_by":66,"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; University of Waterloo; McMaster University","funders":"","keywords":"Peat; Environmental science; Hydrology (agriculture); Soil science; Water table; Sphagnum; Geology; Groundwater; Ecology; Geotechnical engineering","score_opus":0.032299357500238504,"score_gpt":0.2847620805750799,"score_spread":0.2524627230748414,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1542989663","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9975326,0.000007696995,0.0009387828,0.00053009053,0.000044809407,0.0005600406,0.000029631867,0.000024616802,0.00033173937],"genre_scores_gemma":[0.9984993,0.0000045805537,0.00022227994,0.000013343704,0.0001069317,0.00015370452,0.00036949667,0.000012982199,0.0006173845],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99855393,0.00008508734,0.00025593754,0.00036531204,0.00020098679,0.0005387526],"domain_scores_gemma":[0.9994589,0.00007984833,0.000024121444,0.0002340037,0.000034844463,0.00016827384],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007998104,0.00012873481,0.00016677682,0.00009811947,0.0008300862,0.00017245652,0.00018511592,0.000119156226,0.0003801362],"category_scores_gemma":[0.000011062731,0.00007078071,0.00002184224,0.000040876464,0.00019887536,0.00016740029,0.00055076304,0.00024059869,0.00008326601],"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":[0.00006351904,0.000035995075,0.88182896,0.00006213141,0.000019894298,2.1582106e-7,0.0032860343,0.000003135641,0.10942875,0.0000071841064,0.00047273608,0.0047914297],"study_design_scores_gemma":[0.00061017345,0.00008571531,0.81650007,0.000004912314,0.000008681099,0.000010196165,0.000068955,0.000083049184,0.0075429077,0.0006091241,0.17434564,0.00013056648],"about_ca_topic_score_codex":0.000103647406,"about_ca_topic_score_gemma":0.0015393936,"teacher_disagreement_score":0.1738729,"about_ca_system_score_codex":0.00005602943,"about_ca_system_score_gemma":0.0000048022443,"threshold_uncertainty_score":0.6384435},"labels":[],"label_agreement":null},{"id":"W1544027381","doi":"10.1029/2010wr009442","title":"Shopping for hydrologically representative connectivity metrics in a humid temperate forested catchment","year":2010,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":112,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Environmental science; Temperate climate; Surface runoff; Drainage basin; Hydrology (agriculture); Streamflow; Temperate forest; Antecedent moisture; Fluvial; Rangeland; Structural basin; Ecology; Geology; Runoff curve number; Geography; Geomorphology; Cartography; Agroforestry","score_opus":0.06008985191671716,"score_gpt":0.3450205457897005,"score_spread":0.2849306938729833,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1544027381","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98802847,0.0000120758505,0.00010373674,0.0031430428,0.00007653061,0.0011029538,0.0000045496968,0.00004222974,0.007486407],"genre_scores_gemma":[0.99666035,0.000014815291,0.00035193175,0.00018140035,0.000048790218,0.0005311329,0.000011316768,0.000015742811,0.0021845086],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99714273,0.0004005112,0.00027435564,0.0006823087,0.00052089826,0.0009791964],"domain_scores_gemma":[0.9989803,0.00047305314,0.00003358868,0.00036782704,0.00003448294,0.00011075731],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0037977053,0.00017040806,0.00024920804,0.00030310158,0.0005686956,0.00007563861,0.00049493305,0.00011881807,0.00051129557],"category_scores_gemma":[0.00045565097,0.0001127515,0.00006497143,0.00052099844,0.0007570182,0.00017243673,0.0011545476,0.0006624681,0.00024375229],"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":[0.0005632023,0.00036908255,0.8791599,0.000041574807,0.00007916697,0.00009038165,0.0117781,0.0022825138,0.10171877,0.00017704541,0.002656752,0.0010834961],"study_design_scores_gemma":[0.00687091,0.0023432174,0.49096334,0.000046557438,0.000056382854,0.000024025137,0.0038097647,0.022652721,0.17133579,0.026056115,0.27434182,0.001499367],"about_ca_topic_score_codex":0.0011250977,"about_ca_topic_score_gemma":0.0023361247,"teacher_disagreement_score":0.38819656,"about_ca_system_score_codex":0.00010855522,"about_ca_system_score_gemma":0.0000037984398,"threshold_uncertainty_score":0.5598328},"labels":[],"label_agreement":null},{"id":"W1544621030","doi":"10.1029/2005wr004661","title":"A Bayesian perspective on input uncertainty in model calibration: Application to hydrological model “abc”","year":2006,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":85,"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":"Calibration; Bayesian probability; Computer science; Sensitivity analysis; Sensitivity (control systems); Uncertainty analysis; Context (archaeology); Hydrological modelling; Errors-in-variables models; Bayesian inference; Uncertainty quantification; Linear model; Econometrics; Mathematics; Statistics; Machine learning; Artificial intelligence; Simulation","score_opus":0.027258015254389898,"score_gpt":0.3027604739268006,"score_spread":0.2755024586724107,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1544621030","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.90527517,0.0000067289525,0.011808849,0.013784093,0.0000070377646,0.0006946616,0.0000036936144,0.000051748655,0.06836801],"genre_scores_gemma":[0.99453586,0.0000033006327,0.00028592948,0.00066527235,0.000042311833,0.00033158332,0.000011538633,0.000013007778,0.004111214],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9977276,0.00020974499,0.00019986754,0.0006396794,0.00056921266,0.0006539163],"domain_scores_gemma":[0.99952525,0.000042273725,0.000015472038,0.00031490377,0.00001574419,0.000086386644],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00088327157,0.0001478715,0.00015492807,0.00020759429,0.00036812105,0.00004587145,0.00037652798,0.000108954606,0.00013452512],"category_scores_gemma":[0.000022033364,0.000101351725,0.000035916175,0.00032617597,0.00034887582,0.00011321464,0.0006017424,0.00034069875,0.00051558577],"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":[0.00019424519,0.00014505949,0.0045315735,0.0000031262146,0.000004753218,0.000010122894,0.0043000984,0.98532635,0.001978428,0.0015468897,0.0018331032,0.00012627042],"study_design_scores_gemma":[0.00025002914,0.00013059514,0.0011941243,0.0000038751155,0.0000021738533,5.016064e-7,0.00019177716,0.9476676,0.00072688033,0.047329143,0.0023705058,0.0001327994],"about_ca_topic_score_codex":0.0027542121,"about_ca_topic_score_gemma":0.0014288859,"teacher_disagreement_score":0.08926067,"about_ca_system_score_codex":0.00043253216,"about_ca_system_score_gemma":0.0000039159963,"threshold_uncertainty_score":0.6626984},"labels":[],"label_agreement":null},{"id":"W1545116099","doi":"10.1029/2008wr006936","title":"Versatile direct push profiler for the investigation of volatile compounds near the water table","year":2008,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Groundwater flow and contamination studies","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":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; U.S. Geological Survey; University of Waterloo","keywords":"Vadose zone; Water table; Table (database); Aquifer; Environmental science; Water quality; Hydrology (agriculture); Sampling (signal processing); Groundwater; Geology; Database; Geotechnical engineering; Engineering; Computer science; Telecommunications","score_opus":0.05917385167723961,"score_gpt":0.27830191453559594,"score_spread":0.21912806285835634,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1545116099","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9934556,0.00004892834,0.00011377146,0.0025788702,0.000055775385,0.0007247861,0.000009722926,0.000019383127,0.0029931983],"genre_scores_gemma":[0.9596243,0.000008559398,0.000069157526,0.000078724544,0.000056202272,0.00030782574,0.00001974726,0.00001488764,0.039820615],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9980558,0.00023597707,0.00021307317,0.00024606634,0.0007615139,0.00048758273],"domain_scores_gemma":[0.99918866,0.00030220236,0.000026700913,0.00035498146,0.00007994456,0.000047516318],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0014410148,0.000108022396,0.00013487099,0.000037178746,0.0019936925,0.00012279853,0.00048238033,0.000043254502,0.00064266083],"category_scores_gemma":[0.000031962565,0.00003832941,0.00005723701,0.00018712075,0.0017529058,0.00016339158,0.00047485562,0.00017203881,0.00030506466],"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":[0.0003669039,0.00013663246,0.31276447,0.00009441828,0.00020801842,0.0000070197643,0.29425514,0.0017053704,0.24533936,0.000029738938,0.13660002,0.008492902],"study_design_scores_gemma":[0.00032385552,0.00011463581,0.03906936,0.0000071119634,0.000010281834,0.0000033019526,0.00091701397,0.0040351637,0.19041479,0.00012581733,0.7648821,0.00009660949],"about_ca_topic_score_codex":0.0018529486,"about_ca_topic_score_gemma":0.00014002857,"teacher_disagreement_score":0.62828207,"about_ca_system_score_codex":0.000068728885,"about_ca_system_score_gemma":0.000009866904,"threshold_uncertainty_score":0.9993056},"labels":[],"label_agreement":null},{"id":"W1546242299","doi":"10.1029/2001wr000375","title":"Modeling a two‐layer flow system at the subarctic, subalpine tree line during snowmelt","year":2002,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McMaster University","funders":"","keywords":"Snowmelt; Environmental science; Hydrology (agriculture); Surface runoff; Subarctic climate; Soil water; Soil science; Shrub; Geology; Snow; Geomorphology; Ecology; Geotechnical engineering","score_opus":0.1339808121899594,"score_gpt":0.29761884384675513,"score_spread":0.16363803165679575,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1546242299","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98529285,0.002140103,0.000005585677,0.001973823,0.00013136624,0.00034304027,0.0003129212,0.0000735065,0.009726797],"genre_scores_gemma":[0.98899955,0.00027284652,0.000015683414,0.00007078886,0.0008555778,0.000012064705,0.00038849254,0.000018509334,0.009366512],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9963904,0.00044667895,0.00033850875,0.0004977657,0.0010957889,0.0012308588],"domain_scores_gemma":[0.99880105,0.00017942447,0.000023931274,0.0006005282,0.00013462242,0.00026042623],"candidate_categories":["sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0014191407,0.00022050989,0.00024558225,0.00023124598,0.0013382798,0.00033451946,0.0006422559,0.00009732546,0.022871269],"category_scores_gemma":[0.0000320434,0.00011687163,0.00011244705,0.00036521998,0.00018634301,0.00016918185,0.00019827901,0.0005349788,0.006017363],"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":[0.0020135157,0.00025177302,0.42032525,0.0020411122,0.00032481263,0.0019629183,0.10339954,0.36243746,0.062324546,0.00001496122,0.0071062166,0.037797913],"study_design_scores_gemma":[0.0006870493,0.000112097994,0.0028454566,0.000080755526,0.000012818383,0.00014869886,0.0015609681,0.97580385,0.0043293275,0.0000140312695,0.014163714,0.00024124784],"about_ca_topic_score_codex":0.012564445,"about_ca_topic_score_gemma":0.044599745,"teacher_disagreement_score":0.61336637,"about_ca_system_score_codex":0.000046529032,"about_ca_system_score_gemma":0.0000051172515,"threshold_uncertainty_score":0.99996185},"labels":[],"label_agreement":null},{"id":"W1546612333","doi":"10.1029/2012wr012552","title":"Fluid circulation and seepage in lake sediment due to propagating and trapped internal waves","year":2012,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Geological formations and processes","field":"Earth and Planetary Sciences","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Geology; Gravity wave; Internal wave; Turbulence; Porous medium; Mechanics; Permeability (electromagnetism); Boundary layer; Pressure gradient; Advection; Gravity current; Wavelength; Geophysics; Porosity; Geotechnical engineering; Wave propagation; Physics; Optics; Oceanography; Chemistry","score_opus":0.045246426575816116,"score_gpt":0.2848999822300572,"score_spread":0.23965355565424107,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1546612333","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9961832,0.0003441128,0.000020603564,0.0005429229,0.000019902882,0.00019919952,0.000008300858,0.000010560309,0.002671173],"genre_scores_gemma":[0.9994742,0.000017674422,0.0002110055,0.000050342398,0.000059323742,0.000004451427,0.000021445954,0.0000016915445,0.00015982799],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989118,0.00014435791,0.00014290474,0.00013781028,0.00025950023,0.00040361015],"domain_scores_gemma":[0.99965376,0.00008886452,0.000010141648,0.000060104707,0.00002988544,0.0001572243],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012544158,0.000064458945,0.000086738364,0.00017215183,0.00017732856,0.0001233629,0.000080994025,0.000039487146,0.00065301755],"category_scores_gemma":[0.00005258197,0.00003824304,0.000008176756,0.00015572937,0.00007402189,0.00023582774,0.00004880967,0.00015067916,0.00008285831],"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":[0.000044277083,0.000013976517,0.952244,0.00006610766,0.0000038940357,0.000006348596,0.012705724,0.00022861692,0.0007987985,0.000010319912,0.000019524408,0.03385842],"study_design_scores_gemma":[0.00014809475,0.000120649216,0.9791998,0.0000314738,0.0000012149127,0.00002933144,0.00093654875,0.004392195,0.0013795673,0.00035232655,0.01332362,0.00008513726],"about_ca_topic_score_codex":0.0005984886,"about_ca_topic_score_gemma":0.0014178974,"teacher_disagreement_score":0.033773284,"about_ca_system_score_codex":0.0000026090695,"about_ca_system_score_gemma":0.0000035581136,"threshold_uncertainty_score":0.7150084},"labels":[],"label_agreement":null},{"id":"W1546833144","doi":"10.1002/2013wr013679","title":"The economic value of coordination in large‐scale multireservoir systems: The Parana River case","year":2013,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Water resources management and optimization","field":"Engineering","cited_by":41,"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":"Agência Nacional de Energia Elétrica; Conselho Nacional de Desenvolvimento Científico e Tecnológico","keywords":"Negotiation; Revenue; Database transaction; Computer science; Scale (ratio); Operations research; Dual (grammatical number); Value (mathematics); Information sharing; Environmental economics; Environmental science; Mathematical optimization; Environmental resource management; Business; Engineering; Economics; Mathematics; Geography","score_opus":0.017916791975220777,"score_gpt":0.2528770233001392,"score_spread":0.23496023132491844,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1546833144","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99532753,0.00036915962,0.00011699467,0.0005124055,0.00009368294,0.0009333728,0.000005566848,0.000048364676,0.002592927],"genre_scores_gemma":[0.996314,0.00005068052,0.000025742647,0.000004457723,0.00007860541,0.00020935554,0.000009716172,0.00003078271,0.0032766603],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99822867,0.00037856578,0.00034142355,0.00017762756,0.00031601678,0.000557679],"domain_scores_gemma":[0.9992251,0.00019359517,0.000026989423,0.0004284131,0.0000756881,0.000050258892],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015843223,0.00012314074,0.00014364843,0.00022830626,0.00032505443,0.00028562662,0.00049084966,0.000067994755,0.000054456294],"category_scores_gemma":[0.000018644001,0.00006357824,0.000045824498,0.00019200219,0.00018110887,0.000202487,0.00022395486,0.00027618834,0.00024887006],"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":[0.000024375162,0.00002353794,0.006011741,0.00016251838,0.000057856872,0.000033849745,0.022387948,0.9659357,0.0002511059,0.00019425339,0.0039940015,0.0009230943],"study_design_scores_gemma":[0.00041020763,0.000024199633,0.0024687103,0.000028972145,0.000004866359,0.000009457537,0.0039583384,0.94031966,0.0006459432,0.00012918041,0.05189864,0.000101837824],"about_ca_topic_score_codex":0.003851981,"about_ca_topic_score_gemma":0.00067898544,"teacher_disagreement_score":0.047904637,"about_ca_system_score_codex":0.00015469949,"about_ca_system_score_gemma":0.0000040739715,"threshold_uncertainty_score":0.58230686},"labels":[],"label_agreement":null},{"id":"W1547035684","doi":"10.1029/2000wr000052","title":"Sediment trapping characteristics of a pit trap and the Helley‐Smith sampler in a cobble gravel bed river","year":2002,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Sediment Transport Processes","field":"Environmental Science","cited_by":74,"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","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Trap (plumbing); Sediment trap; Hydrology (agriculture); Sediment; Environmental science; Cobble; Sampling (signal processing); STREAMS; Trapping; Bed load; Geology; Geotechnical engineering; Sediment transport; Geomorphology; Ecology; Environmental engineering; Habitat","score_opus":0.040434870062949914,"score_gpt":0.26093777649959593,"score_spread":0.22050290643664602,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1547035684","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99579847,0.00027209136,0.000030682808,0.0013863251,0.000013177519,0.00034618753,0.000005905441,0.000009147023,0.0021379932],"genre_scores_gemma":[0.9982495,0.00032557963,0.000041915282,0.00010743907,0.000018309507,0.000048249763,0.0000038697344,0.000010180533,0.0011949575],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99818194,0.00024220141,0.0002797286,0.000289047,0.0005161946,0.00049091654],"domain_scores_gemma":[0.9995314,0.00015958621,0.000029711571,0.0001944412,0.000012506513,0.000072371484],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0013588602,0.000113482136,0.00022032733,0.000101844606,0.00020106671,0.000024366795,0.0002996976,0.00007780849,0.0020482063],"category_scores_gemma":[0.000020014395,0.00006443278,0.000035972982,0.0002324072,0.0015582687,0.00008265316,0.00013674007,0.00033798724,0.0001021366],"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":[0.0017156743,0.00097345887,0.56669205,0.00039625255,0.00014641482,0.00013495142,0.37754717,0.00028563268,0.0317232,0.0001502289,0.0010459748,0.019189015],"study_design_scores_gemma":[0.017704455,0.0013031824,0.62342584,0.00044826543,0.00010180684,0.000058842732,0.004293207,0.026385654,0.07017378,0.0048301504,0.25008896,0.0011858841],"about_ca_topic_score_codex":0.0006784818,"about_ca_topic_score_gemma":0.00006483649,"teacher_disagreement_score":0.37325397,"about_ca_system_score_codex":0.000028915843,"about_ca_system_score_gemma":0.000002878806,"threshold_uncertainty_score":0.99886405},"labels":[],"label_agreement":null},{"id":"W1547180811","doi":"10.1002/wrcr.20203","title":"Relationship between water color, water levels, and climate indices in large rivers: Case of the St. Lawrence River (Canada)","year":2013,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Marine and coastal ecosystems","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":true,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"","keywords":"Environmental science; Climate change; Hydrology (agriculture); Water use; Climatology; Water level; Water resource management; Physical geography; Geography; Geology; Oceanography; Ecology; Cartography","score_opus":0.05110519585469184,"score_gpt":0.2622715748807022,"score_spread":0.21116637902601035,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1547180811","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.994454,0.00006277492,3.070931e-7,0.00058860023,0.00004553614,0.00041212217,0.00018909753,0.000007667302,0.004239861],"genre_scores_gemma":[0.9985056,0.0000043023174,0.000012584046,0.000045436755,0.000047505637,0.000008538845,0.00007047985,0.0000050638173,0.0013005115],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9974972,0.0005383925,0.00030001305,0.00028332605,0.0005774024,0.000803642],"domain_scores_gemma":[0.99926203,0.00021181162,0.0000281543,0.00026681845,0.00009158255,0.00013959235],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001375149,0.00012464411,0.00019009192,0.00017301178,0.00044973454,0.00013092671,0.00037322685,0.000091853464,0.0018972886],"category_scores_gemma":[0.000027884029,0.000054475735,0.000028918848,0.000156321,0.00024106735,0.0002793594,0.00034329417,0.0004096923,0.00016097857],"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":[0.000015561873,0.0000096733465,0.9946878,0.00010035906,0.000007319908,0.00006961065,0.0034296694,0.000021848111,0.000052308067,0.0000110394985,0.00018876592,0.0014060596],"study_design_scores_gemma":[0.00030252134,0.00007613283,0.97001606,0.00003921871,0.0000056307576,0.000040938095,0.001447607,0.0005764926,0.0021238988,0.00067111204,0.024564454,0.00013591709],"about_ca_topic_score_codex":0.67937595,"about_ca_topic_score_gemma":0.78061515,"teacher_disagreement_score":0.101239175,"about_ca_system_score_codex":0.000012894237,"about_ca_system_score_gemma":0.000040944866,"threshold_uncertainty_score":0.9990151},"labels":[],"label_agreement":null},{"id":"W1547394617","doi":"10.1029/2010wr009374","title":"Flow and turbulence redistribution in a straight artificial pool","year":2012,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Sediment Transport Processes","field":"Environmental Science","cited_by":47,"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 Ottawa; University of Waterloo","funders":"","keywords":"Flume; Turbulence; Open-channel flow; Mechanics; Geology; Flow (mathematics); Acceleration; Reynolds stress; Reynolds number; Flow velocity; Turbulence kinetic energy; Physics; Classical mechanics","score_opus":0.03171505168238187,"score_gpt":0.2915717041446116,"score_spread":0.2598566524622297,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1547394617","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9942954,0.00013058605,0.000055023866,0.0006541473,0.00002772272,0.00014284634,0.0000057296566,0.00001675774,0.004671791],"genre_scores_gemma":[0.999421,0.000017422188,0.00004962492,0.000032030246,0.000070868664,0.00002491998,0.000019326702,0.000005843076,0.00035898195],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9983977,0.00014239155,0.00014773168,0.00023043992,0.00040157125,0.0006801541],"domain_scores_gemma":[0.99968797,0.00003782062,0.000008799812,0.000121820674,0.0000068092513,0.00013677179],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0014072803,0.00007928937,0.000087111905,0.000069023714,0.00018575026,0.000028486013,0.00015956697,0.00009614349,0.0029946102],"category_scores_gemma":[0.000023811923,0.000055329827,0.0000137171155,0.000193262,0.0004289301,0.00026510618,0.00011921821,0.00031536014,0.00045369344],"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":[0.0006794637,0.0008744992,0.7981249,0.00011911406,0.00002336063,0.00012729733,0.04750771,0.002222108,0.11087541,0.0003265691,0.0016458591,0.03747372],"study_design_scores_gemma":[0.00097689,0.00043142535,0.48177737,0.000068508314,0.00001644622,0.000052826057,0.00077745336,0.014739183,0.2625175,0.0053497422,0.2326203,0.0006723372],"about_ca_topic_score_codex":0.00014252515,"about_ca_topic_score_gemma":0.00011138195,"teacher_disagreement_score":0.3163475,"about_ca_system_score_codex":0.000050617884,"about_ca_system_score_gemma":0.0000028915929,"threshold_uncertainty_score":0.99791676},"labels":[],"label_agreement":null},{"id":"W1549112190","doi":"10.1002/2014wr015825","title":"Sediment transport and shear stress partitioning in a vegetated flow","year":2015,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Sediment Transport Processes","field":"Environmental Science","cited_by":98,"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":"","keywords":"Beach morphodynamics; Sediment transport; Sediment; Geology; Bed load; Shear stress; Geotechnical engineering; Soil science; Flow (mathematics); Hydrology (agriculture); Environmental science; Geomorphology; Mechanics","score_opus":0.04309592957207789,"score_gpt":0.29082999552481653,"score_spread":0.24773406595273864,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1549112190","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9925888,0.00014648754,0.000025590245,0.0007915366,0.000020632704,0.00019290694,0.0000036854433,0.000028812421,0.0062015457],"genre_scores_gemma":[0.9989669,0.000023828909,0.00013792646,0.00006419499,0.00002274402,0.000049665134,0.000027815577,0.000011342581,0.0006956033],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9981497,0.00015600093,0.00019280512,0.00034760876,0.00059216114,0.00056173117],"domain_scores_gemma":[0.99958557,0.000027864706,0.000009565531,0.00014391277,0.000015131517,0.00021796158],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001392381,0.00010212025,0.00013154701,0.00010329321,0.00014176313,0.000027042299,0.00017994792,0.00008616942,0.0009864575],"category_scores_gemma":[0.000011289408,0.00007418041,0.000016429161,0.00022787412,0.00040955684,0.00018710337,0.000078045174,0.0003239145,0.0003044393],"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":[0.00023029001,0.00019239746,0.9352847,0.00004373113,0.00001329536,0.00024664873,0.035203025,0.025674472,0.0017712791,0.000006168641,0.00019877877,0.0011352336],"study_design_scores_gemma":[0.006865554,0.001553124,0.5362476,0.00030342862,0.00003941113,0.000055847377,0.0041651493,0.03522222,0.091169015,0.00434969,0.31886476,0.0011641671],"about_ca_topic_score_codex":0.0009868571,"about_ca_topic_score_gemma":0.0007383799,"teacher_disagreement_score":0.39903706,"about_ca_system_score_codex":0.00006245838,"about_ca_system_score_gemma":0.000008820572,"threshold_uncertainty_score":0.9999268},"labels":[],"label_agreement":null},{"id":"W1549688048","doi":"10.1029/2008wr007518","title":"Hydrogeomorphic edge detection and delineation of landscape functional units from lidar digital elevation models","year":2009,"lang":"en","type":"article","venue":"Water Resources Research","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":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Carleton University; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Topographic Wetness Index; Digital elevation model; Terrain; Surface runoff; Watershed; Hydrology (agriculture); Wetland; Lidar; Landform; Environmental science; Elevation (ballistics); Geology; Remote sensing; Geomorphology; Cartography; Geography; Ecology","score_opus":0.043582432883184856,"score_gpt":0.24971171626096544,"score_spread":0.20612928337778058,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1549688048","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9935534,0.00004606349,0.003032673,0.00053322426,0.000017915843,0.00014805491,0.0000082076685,0.000022490485,0.002637981],"genre_scores_gemma":[0.99864703,0.000027415772,0.00002076552,0.000041050218,0.000050093717,0.000009554002,0.000059299036,0.0000052496775,0.0011395556],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988899,0.000082637824,0.00015409573,0.00024149912,0.00039438813,0.00023748053],"domain_scores_gemma":[0.99972767,0.000044366807,0.000024393732,0.00012132491,0.00003791113,0.000044322518],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040515352,0.00008042197,0.000093394694,0.00011617701,0.00024726984,0.000044364344,0.00009296317,0.00006356549,0.00021880567],"category_scores_gemma":[0.000028625422,0.00005847743,0.000015573152,0.0002157826,0.00018190325,0.00034953954,0.0001664504,0.00014041922,0.000102905244],"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":[0.0020472517,0.000559658,0.41704696,0.00006435874,0.0002528262,0.000031011503,0.023951815,0.08158443,0.2611428,0.00021499621,0.002555886,0.21054803],"study_design_scores_gemma":[0.0029568938,0.0016230872,0.46356624,0.000058476737,0.00006252997,0.0000121366475,0.0015432427,0.2844121,0.12939772,0.048875745,0.066782124,0.00070970855],"about_ca_topic_score_codex":0.0001874466,"about_ca_topic_score_gemma":0.000040078612,"teacher_disagreement_score":0.20983832,"about_ca_system_score_codex":0.0000272878,"about_ca_system_score_gemma":0.0000015518161,"threshold_uncertainty_score":0.23957686},"labels":[],"label_agreement":null},{"id":"W1550856971","doi":"10.1029/2011wr010901","title":"Consistency of groundwater flow patterns in mountainous topography: Implications for valley bottom water replenishment and for defining groundwater flow boundaries","year":2012,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":81,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada; U.S. Geological Survey","keywords":"Baseflow; Groundwater recharge; Watershed; Groundwater; Hydrology (agriculture); Groundwater flow; Geology; Groundwater model; Environmental science; Streamflow; Aquifer; Drainage basin; Geography; Geotechnical engineering","score_opus":0.04352569912586848,"score_gpt":0.3091404794248901,"score_spread":0.26561478029902164,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1550856971","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99271655,0.00016200721,0.001158346,0.0037636396,0.00009889801,0.0013821734,0.000040495797,0.000030390713,0.0006474731],"genre_scores_gemma":[0.9948133,0.000057257756,0.0026299595,0.000181692,0.000060941027,0.0012235828,0.00013090143,0.000034348242,0.0008679832],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9969815,0.00021254183,0.00047712156,0.00055612053,0.00032910492,0.0014435863],"domain_scores_gemma":[0.9991637,0.00018902759,0.000039712013,0.00042690028,0.000049572824,0.0001310888],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002468803,0.00024169475,0.00035085363,0.00026859745,0.0010677048,0.00017288806,0.00033066137,0.00013314173,0.00026536215],"category_scores_gemma":[0.000029961364,0.0001515622,0.00011733917,0.00011169771,0.0011193821,0.00035949436,0.000810874,0.00022648649,0.00004587106],"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":[0.00039399866,0.00040289637,0.9457819,0.0002824128,0.00015494399,0.0000024848455,0.044435978,0.00015892298,0.003786882,0.00035404006,0.0011387072,0.0031068672],"study_design_scores_gemma":[0.004630212,0.0021332817,0.49326152,0.00012087852,0.00018118351,0.000031614458,0.005166424,0.0017204534,0.034044042,0.030697828,0.42676753,0.0012450565],"about_ca_topic_score_codex":0.0014950921,"about_ca_topic_score_gemma":0.00071809214,"teacher_disagreement_score":0.45252034,"about_ca_system_score_codex":0.00012154591,"about_ca_system_score_gemma":0.0000048769716,"threshold_uncertainty_score":0.82120293},"labels":[],"label_agreement":null},{"id":"W1551996627","doi":"10.1029/2007wr006051","title":"Global consumptive water use for crop production: The importance of green water and virtual water","year":2009,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Water-Energy-Food Nexus Studies","field":"Environmental Science","cited_by":293,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Alberta Energy","funders":"Eidgenössische Anstalt für Wasserversorgung Abwasserreinigung und Gewässerschutz; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; European Commission","keywords":"Virtual water; Water use; Environmental science; Agriculture; Water scarcity; Farm water; Water resources; Food security; Water conservation; Business; Agricultural engineering; Agricultural economics; Water resource management; Agroforestry; Agronomy; Economics; Geography; Engineering","score_opus":0.056413182314102715,"score_gpt":0.30557227088614386,"score_spread":0.24915908857204114,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1551996627","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98728883,0.000056053348,0.000013470528,0.010022736,0.00007710886,0.000704894,0.000041221843,0.000037194808,0.0017584985],"genre_scores_gemma":[0.98614275,0.000012706958,0.000077687924,0.00023821722,0.00017110589,0.00011048325,0.000035881698,0.000024832523,0.013186328],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99613315,0.00032139607,0.000419076,0.0007957249,0.00093638623,0.0013942803],"domain_scores_gemma":[0.9990175,0.00006087618,0.00002738936,0.0006318255,0.0001161132,0.0001463395],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014440549,0.00029058423,0.0003157145,0.00007698667,0.0008280945,0.00014162862,0.0005713483,0.000112953145,0.00040051134],"category_scores_gemma":[0.00003681127,0.00010988573,0.000091171874,0.00011484372,0.0020969517,0.000407925,0.0012228717,0.00022275044,0.00017721628],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0021084626,0.00041685026,0.055446677,0.00008898105,0.00027724088,0.00007842936,0.06121408,0.00059433654,0.8639244,0.000711054,0.010648577,0.004490959],"study_design_scores_gemma":[0.0006351938,0.00080581557,0.014488617,0.00002056046,0.000027686016,0.00004438692,0.00073197426,0.000056806482,0.8787568,0.015540762,0.08856204,0.00032933452],"about_ca_topic_score_codex":0.0010609372,"about_ca_topic_score_gemma":0.00073960447,"teacher_disagreement_score":0.07791346,"about_ca_system_score_codex":0.00015815013,"about_ca_system_score_gemma":0.0000035000487,"threshold_uncertainty_score":0.7726306},"labels":[],"label_agreement":null},{"id":"W1552266070","doi":"10.1002/wrcr.20372","title":"Quantifying groundwater-surface water interactions in a proglacial moraine using heat and solute tracers","year":2013,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":52,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Environment and Climate Change Canada; University of Calgary; Alberta Environment and Protected Areas","funders":"","keywords":"Groundwater; Moraine; Hydrology (agriculture); Groundwater flow; Hydraulic conductivity; Environmental science; Surface water; Geology; Watershed; Water balance; Inflow; Glacier; Geomorphology; Soil science; Aquifer; Geotechnical engineering; Soil water; Environmental engineering","score_opus":0.15856753493769893,"score_gpt":0.3420247243842316,"score_spread":0.18345718944653266,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1552266070","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9963862,0.0002802109,0.000028454531,0.0021289596,0.00010953882,0.00047593573,0.000004962193,0.000026544629,0.0005591969],"genre_scores_gemma":[0.9979848,0.000045347184,0.0006921512,0.000050618994,0.00011439324,0.000009841922,0.000029611901,0.000008475025,0.0010647541],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99793136,0.00020815576,0.00026693605,0.0003507891,0.00038725915,0.00085552287],"domain_scores_gemma":[0.9994815,0.000114780116,0.000011249887,0.0001662773,0.0000949638,0.00013121469],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007337516,0.0001414637,0.00018909111,0.00011513401,0.0007095237,0.00041843575,0.00017757456,0.00004528374,0.002427318],"category_scores_gemma":[0.00002126,0.000082075574,0.000037574908,0.00025104845,0.00023010909,0.00046243053,0.00011216924,0.00037007348,0.00029779496],"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":[0.00010167077,0.000077455246,0.92467076,0.00008360885,0.00005003104,0.000037308,0.03561725,0.010912092,0.020691875,0.0000043164646,0.00032065448,0.0074329698],"study_design_scores_gemma":[0.000926279,0.00027917398,0.6516208,0.00010530864,0.000013900772,0.000047211885,0.013689245,0.25173768,0.0032679315,0.0003927458,0.077402994,0.0005167572],"about_ca_topic_score_codex":0.08371314,"about_ca_topic_score_gemma":0.02220484,"teacher_disagreement_score":0.27304998,"about_ca_system_score_codex":0.00002451533,"about_ca_system_score_gemma":0.00000931442,"threshold_uncertainty_score":0.9984846},"labels":[],"label_agreement":null},{"id":"W1553433319","doi":"10.1029/2005wr004742","title":"Modeled impacts of predicted climate change on recharge and groundwater levels","year":2006,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":281,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada; Cure Cancer Australia Foundation","keywords":"Groundwater recharge; MODFLOW; Aquifer; Environmental science; Hydrology (agriculture); Downscaling; Depression-focused recharge; Groundwater model; Climate change; Groundwater; Evapotranspiration; Groundwater flow; Precipitation; Geology; Geography; Meteorology; Ecology","score_opus":0.06679053687067071,"score_gpt":0.3045223977852558,"score_spread":0.2377318609145851,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1553433319","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98312104,0.000036430374,0.0000065647814,0.001253597,0.000021359258,0.00039425277,0.00001514682,0.000034465666,0.015117169],"genre_scores_gemma":[0.99811924,0.00007492334,0.000040119834,0.00009493326,0.000060827286,0.000067934816,0.000012722137,0.000016098646,0.001513203],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.997927,0.00023686422,0.00020218114,0.00036132333,0.00050707394,0.00076555816],"domain_scores_gemma":[0.99958944,0.000050109804,0.000026899448,0.00024904605,0.00001459193,0.00006992161],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011534394,0.0001372288,0.00018103365,0.0001628044,0.0003175328,0.00003382162,0.00021635408,0.00008617634,0.00055610616],"category_scores_gemma":[0.000012121573,0.00008451168,0.000031007752,0.00015046577,0.0005120694,0.0001668664,0.00076331466,0.00020802008,0.00028018103],"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":[0.0015619636,0.0010723516,0.8633618,0.0004044459,0.00015538128,0.00015211933,0.029543784,0.0008386243,0.0893764,0.00078137446,0.007845241,0.0049065277],"study_design_scores_gemma":[0.002618435,0.0019936466,0.82063824,0.00015213582,0.0000412905,0.000010178223,0.00035983993,0.004569085,0.1069191,0.009520118,0.052542023,0.00063591066],"about_ca_topic_score_codex":0.0018329592,"about_ca_topic_score_gemma":0.00016366717,"teacher_disagreement_score":0.04469678,"about_ca_system_score_codex":0.00005110887,"about_ca_system_score_gemma":6.398643e-7,"threshold_uncertainty_score":0.60889727},"labels":[],"label_agreement":null},{"id":"W1553871150","doi":"10.1029/2009wr008957","title":"Reducing the computational cost of automatic calibration through model preemption","year":2010,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":55,"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":"Natural Sciences and Engineering Research Council of Canada","keywords":"Preemption; Calibration; Computer science; Mathematical optimization; Algorithm; GLUE; Set (abstract data type); Mathematics; Statistics; Engineering","score_opus":0.048779470487885446,"score_gpt":0.32143460071616897,"score_spread":0.2726551302282835,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1553871150","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98494864,0.0000043236,0.0026118902,0.0029089379,0.000032493233,0.00033854632,0.0000018278646,0.00002246202,0.009130896],"genre_scores_gemma":[0.9974422,0.0000035677508,0.0010958486,0.000071453236,0.000026433348,0.000053218235,0.000010488076,0.0000067517976,0.001290035],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987307,0.00016200679,0.00016065073,0.00018635878,0.0004916949,0.00026855952],"domain_scores_gemma":[0.9996421,0.00008484567,0.000027311084,0.0002061765,0.000015612191,0.000023973424],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010799107,0.00006437546,0.000076078184,0.00003890529,0.00045881438,0.00003286926,0.00027652108,0.000047866284,0.0006878585],"category_scores_gemma":[0.00003106591,0.00003515872,0.000025315227,0.00011724264,0.00070697395,0.00019062207,0.0004254385,0.00027632387,0.00016466889],"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":[0.000039463717,0.000103908875,0.012814902,0.000043389588,0.0000357412,0.0000022601141,0.03757499,0.90579474,0.03528949,0.00061180565,0.0051640943,0.0025252418],"study_design_scores_gemma":[0.00016724186,0.00004072107,0.0074584936,0.000007856865,0.0000065211784,0.000001799351,0.00020235035,0.96495706,0.0077489014,0.015288053,0.0040540723,0.00006690972],"about_ca_topic_score_codex":0.00037121525,"about_ca_topic_score_gemma":0.0000799821,"teacher_disagreement_score":0.059162367,"about_ca_system_score_codex":0.000022482685,"about_ca_system_score_gemma":0.0000028739878,"threshold_uncertainty_score":0.75315684},"labels":[],"label_agreement":null},{"id":"W1554257907","doi":"10.1002/wrcr.20233","title":"Identifying streamgage networks for maximizing the effectiveness of regional water balance modeling","year":2013,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":38,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Environment and Climate Change Canada","funders":"NOAA Great Lakes Environmental Research Laboratory; National Oceanic and Atmospheric Administration; University of Michigan","keywords":"Water balance; Balance (ability); Environmental science; Computer science; Geology; Geotechnical engineering","score_opus":0.057573856145536534,"score_gpt":0.303063659708828,"score_spread":0.24548980356329145,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1554257907","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98844963,0.00006864813,0.00744303,0.0010110841,0.00004618747,0.00090429076,8.1077144e-7,0.000020771835,0.0020555689],"genre_scores_gemma":[0.9984544,0.000029588098,0.00014181373,0.000054876087,0.000053522705,0.00040538167,0.000010866571,0.00001728999,0.00083224237],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99764067,0.0006215608,0.00019818364,0.00034543464,0.00041502083,0.0007791084],"domain_scores_gemma":[0.99925137,0.00033925028,0.000018306042,0.00030489243,0.000037255806,0.000048925733],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0038762616,0.00012324765,0.0001702397,0.00006568179,0.00071703,0.00007475409,0.0005190473,0.00006653232,0.00029841706],"category_scores_gemma":[0.000028032355,0.00005825039,0.00007386779,0.00009797682,0.0004845919,0.00019727148,0.00094245723,0.00025933608,0.00021568906],"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":[0.0010916471,0.00021703617,0.097345956,0.0006040521,0.00038253274,0.000014717927,0.018971376,0.75280696,0.12192398,0.00040729088,0.0036098622,0.0026246144],"study_design_scores_gemma":[0.001728784,0.0003154594,0.016120592,0.00021933777,0.00004915611,0.0000066065054,0.0022040692,0.86638904,0.06110436,0.03647914,0.014846384,0.0005370802],"about_ca_topic_score_codex":0.0009816113,"about_ca_topic_score_gemma":0.000018144283,"teacher_disagreement_score":0.1135821,"about_ca_system_score_codex":0.00005291894,"about_ca_system_score_gemma":9.4139796e-7,"threshold_uncertainty_score":0.55148876},"labels":[],"label_agreement":null},{"id":"W1554821565","doi":"10.1029/2004wr003291","title":"Locating the sources of low‐pass behavior within rainfall‐runoff models","year":2004,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":43,"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":"","keywords":"Surface runoff; Evapotranspiration; Streamflow; Environmental science; Hydrology (agriculture); Autocorrelation; Runoff curve number; Hydrological modelling; Runoff model; Soil science; Mathematics; Climatology; Statistics; Drainage basin; Geology; Geotechnical engineering; Ecology","score_opus":0.04358378378071085,"score_gpt":0.29536099735089155,"score_spread":0.2517772135701807,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1554821565","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9851764,0.000058713085,0.00011628533,0.0022493058,0.00003736138,0.00045484008,0.0000018109113,0.000034519366,0.011870803],"genre_scores_gemma":[0.99656314,0.000013149252,0.0001645514,0.00013940559,0.00004174138,0.0001284927,0.000002801505,0.000019014935,0.0029277222],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9975294,0.00026439384,0.0003030386,0.00037751393,0.00082884054,0.00069683563],"domain_scores_gemma":[0.9993164,0.000074685355,0.000051063875,0.00045678008,0.000026132915,0.00007491382],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021865156,0.00015231971,0.00017837617,0.00010184829,0.0007864693,0.000056716148,0.000820723,0.000079424,0.00027567905],"category_scores_gemma":[0.000035541543,0.0000813301,0.00006462134,0.0002769455,0.0016234549,0.00018330033,0.0013774239,0.00040293825,0.00043269197],"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":[0.0002518131,0.000627388,0.10549996,0.00016542085,0.000167611,0.0001446238,0.2147981,0.64338297,0.030222012,0.00090657827,0.0011086598,0.0027248827],"study_design_scores_gemma":[0.008541465,0.0026796295,0.13270704,0.00050539535,0.00033858785,0.000109140215,0.04794667,0.024643363,0.6072339,0.11924196,0.053196404,0.0028564709],"about_ca_topic_score_codex":0.0023248051,"about_ca_topic_score_gemma":0.00023324571,"teacher_disagreement_score":0.6187396,"about_ca_system_score_codex":0.000086147455,"about_ca_system_score_gemma":0.0000062431077,"threshold_uncertainty_score":0.60489655},"labels":[],"label_agreement":null},{"id":"W1556348292","doi":"10.1002/wrcr.20178","title":"Semianalytical solutions for release of fluids from rock matrix blocks with different shapes, sizes, and depletion regimes","year":2013,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Rock Mechanics and Modeling","field":"Engineering","cited_by":23,"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 Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; Alberta Innovates - Technology Futures; CMG Reservoir Simulation Foundation; University of Calgary","keywords":"Matrix (chemical analysis); Fluid pressure; Block (permutation group theory); Diffusion; Mechanics; Fracture (geology); Geology; Geotechnical engineering; Materials science; Mathematics; Petroleum engineering; Thermodynamics; Geometry; Physics; Composite material","score_opus":0.030155465000202945,"score_gpt":0.2672369769316817,"score_spread":0.23708151193147875,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1556348292","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9659756,0.000786861,0.032341972,0.00027282353,0.00001386694,0.00040327333,0.000024273308,0.000056755944,0.00012459865],"genre_scores_gemma":[0.9980158,0.00013750097,0.00073327817,0.0000049026858,0.00008445504,0.0001150488,0.000030052192,0.000037327572,0.0008416302],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99865663,0.00004078629,0.00020642253,0.00022993439,0.00033883072,0.0005274173],"domain_scores_gemma":[0.99936277,0.00012266947,0.00001069114,0.0001996266,0.00015040376,0.00015385858],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022017064,0.00012587948,0.00019721032,0.00015469057,0.00018175632,0.000082659324,0.00014710151,0.0000978721,0.000098179626],"category_scores_gemma":[0.00002740412,0.000081542006,0.000042494255,0.00007446406,0.000027984805,0.000065580796,0.00013752178,0.000226576,0.000010724313],"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":[0.00038478963,0.00018064003,0.00051104906,0.0007617454,0.00048390796,0.0000106897005,0.005147125,0.11469275,0.8618277,0.0008412916,0.010166073,0.004992259],"study_design_scores_gemma":[0.00048037444,0.0001362458,0.00009532311,0.00009075491,0.000024955392,0.00000266372,0.00024474505,0.9580462,0.034592446,0.0013895193,0.0047605825,0.00013622094],"about_ca_topic_score_codex":0.0004185057,"about_ca_topic_score_gemma":0.000039025686,"teacher_disagreement_score":0.84335345,"about_ca_system_score_codex":0.00004157698,"about_ca_system_score_gemma":0.000007030611,"threshold_uncertainty_score":0.33251867},"labels":[],"label_agreement":null},{"id":"W1557636274","doi":"10.1029/2011wr010660","title":"Stochastic simulation of nonstationary oscillation hydroclimatic processes using empirical mode decomposition","year":2012,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Drought Analysis","field":"Environmental Science","cited_by":56,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Hydro-Québec; Institut National de la Recherche Scientifique","funders":"","keywords":"Series (stratigraphy); Stochastic modelling; Bootstrapping (finance); Stochastic simulation; Computer science; Stochastic process; Nonparametric statistics; Resampling; Mode (computer interface); Algorithm; Mathematics; Econometrics; Statistics; Geology","score_opus":0.07821955739334815,"score_gpt":0.43581613556503607,"score_spread":0.3575965781716879,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1557636274","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97994196,0.000037843274,0.018654708,0.000097334865,0.000013237697,0.00016293785,0.0000026935563,0.000014999845,0.0010742993],"genre_scores_gemma":[0.9990722,0.0000014238447,0.0007180378,0.000019346784,0.000051988412,0.000010161352,0.00003179591,0.000009801726,0.00008524471],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998249,0.00029747383,0.0002412633,0.00018059285,0.0006335184,0.000398165],"domain_scores_gemma":[0.99938595,0.00027773838,0.00004740097,0.00015052885,0.00004609699,0.00009227049],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008256713,0.00008159472,0.00012586168,0.00017338493,0.0002955747,0.000017995324,0.00012650636,0.00007958147,0.0008075469],"category_scores_gemma":[0.00010610023,0.000060367853,0.0000350486,0.00046553605,0.00026061037,0.00040413564,0.00014366412,0.00013652162,0.00028963658],"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":[0.000051405168,0.000094673145,0.103767574,0.000030099873,0.000010978367,5.32672e-7,0.00670107,0.87910295,0.010075168,0.0000013173546,0.000013389724,0.00015084943],"study_design_scores_gemma":[0.00013333623,0.000047160553,0.0061719846,0.00001605261,0.000023352397,0.0000042496044,0.00013591633,0.98876005,0.0035846976,0.0008178296,0.00021544496,0.0000899389],"about_ca_topic_score_codex":0.0001423745,"about_ca_topic_score_gemma":0.000027080729,"teacher_disagreement_score":0.109657094,"about_ca_system_score_codex":0.000113028604,"about_ca_system_score_gemma":0.000007986366,"threshold_uncertainty_score":0.8842072},"labels":[],"label_agreement":null},{"id":"W1561311067","doi":"10.1002/2013wr013773","title":"A new model for coupled multicomponent NAPL dissolution and aqueous-phase transport, with application to creosote dissolution in discrete fractures","year":2013,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Groundwater flow and contamination studies","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":"Queen's University","funders":"","keywords":"Dissolution; Aqueous solution; Phase (matter); Environmental science; Soil science; Petroleum engineering; Chemistry; Chemical engineering; Geology; Engineering; Organic chemistry","score_opus":0.02151289095826508,"score_gpt":0.31054800095571333,"score_spread":0.28903510999744825,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1561311067","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6803032,0.000025060035,0.31677765,0.0016048334,0.0000045820298,0.0012227227,0.0000059338972,0.000018557766,0.00003747361],"genre_scores_gemma":[0.9932101,0.000008395196,0.0018919742,0.00005188497,0.000025352829,0.00094960735,0.00004935111,0.00001904961,0.0037943257],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9982321,0.000061910534,0.00021983097,0.00045475518,0.00050681166,0.00052454526],"domain_scores_gemma":[0.99948984,0.000046684494,0.000024821893,0.0002074142,0.00003477153,0.0001964401],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004051445,0.00014963314,0.00016428652,0.00012402385,0.00029675633,0.000085874904,0.00017528699,0.000057758807,0.00007728117],"category_scores_gemma":[0.000010522522,0.00009472957,0.000027068561,0.00015476448,0.00014055744,0.00025822257,0.00012586254,0.00014540392,0.00007195424],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0026761482,0.0006350646,0.039608,0.00013487048,0.000071672446,0.000010067402,0.07979563,0.05883474,0.60436547,0.00009792228,0.0010549702,0.21271546],"study_design_scores_gemma":[0.002225541,0.00036649397,0.11088839,0.000035288667,0.000012453242,0.0000025100796,0.00054331205,0.8672389,0.0044634454,0.0004755618,0.013472715,0.00027540553],"about_ca_topic_score_codex":0.008403032,"about_ca_topic_score_gemma":0.0035808845,"teacher_disagreement_score":0.80840415,"about_ca_system_score_codex":0.00015694635,"about_ca_system_score_gemma":0.0000052057508,"threshold_uncertainty_score":0.9982001},"labels":[],"label_agreement":null},{"id":"W1561475154","doi":"10.1029/2007wr006499","title":"River stream flows in the northern Québec Labrador region: A multivariate change point analysis via maximum likelihood","year":2009,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Drought Analysis","field":"Environmental Science","cited_by":16,"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":"Multivariate statistics; Multivariate normal distribution; Statistics; Mathematics; Univariate; Asymptotic distribution; Gaussian; Point estimation; Estimator; Physics","score_opus":0.030342135705219604,"score_gpt":0.28176695810158275,"score_spread":0.25142482239636316,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1561475154","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9836486,0.00009770005,0.00012721067,0.012521969,0.000009496222,0.00033937063,0.0000024324788,0.000028446328,0.003224759],"genre_scores_gemma":[0.99821585,0.00001732059,0.000081790204,0.00066895946,0.00010376317,0.00007016933,0.000018687793,0.000011869845,0.0008115902],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99625665,0.0010486324,0.00029545714,0.0005982021,0.000874723,0.00092632807],"domain_scores_gemma":[0.9988959,0.000115235554,0.000041227904,0.00077986496,0.000024673394,0.00014311353],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001892302,0.00019770199,0.0002999891,0.00041340428,0.00042062037,0.00008073748,0.0009235538,0.00015003441,0.0017803534],"category_scores_gemma":[0.000035154368,0.00010948418,0.00021868914,0.0018341943,0.00036430947,0.00022075858,0.00029704414,0.00058451545,0.0017060004],"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":[0.00041550075,0.0010185884,0.6538649,0.000009710781,0.00044319153,0.0010358411,0.21267186,0.0034024834,0.0019833695,0.00000477021,0.0006338378,0.12451593],"study_design_scores_gemma":[0.0014800173,0.00070623046,0.876603,0.000019678053,0.00038800962,0.000038981187,0.0021101322,0.046038568,0.00089271634,0.0101892315,0.060831588,0.0007018128],"about_ca_topic_score_codex":0.22481948,"about_ca_topic_score_gemma":0.35695323,"teacher_disagreement_score":0.22273812,"about_ca_system_score_codex":0.00020369337,"about_ca_system_score_gemma":0.000008185711,"threshold_uncertainty_score":0.99913216},"labels":[],"label_agreement":null},{"id":"W1561740805","doi":"10.1029/2005wr004835","title":"Bayesian multivariate linear regression with application to change point models in hydrometeorological variables","year":2007,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Drought Analysis","field":"Environmental Science","cited_by":65,"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 Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Multivariate statistics; Bayesian multivariate linear regression; Segmented regression; Markov chain Monte Carlo; Proper linear model; Multivariate adaptive regression splines; Bayesian probability; Linear regression; Statistics; Econometrics; Mathematics; Computer science","score_opus":0.043203685707768225,"score_gpt":0.3218511123579135,"score_spread":0.2786474266501453,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1561740805","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9545731,0.000018991806,0.03678097,0.0017088223,0.0000071448603,0.00053560646,0.0000015091755,0.0000368974,0.006336981],"genre_scores_gemma":[0.99566555,0.000006231177,0.0032463777,0.00025693132,0.0000668987,0.0001448329,0.000013737597,0.000017034146,0.00058238185],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9972502,0.00033925308,0.00025267698,0.0006081905,0.0006814845,0.00086820056],"domain_scores_gemma":[0.99917436,0.00011998582,0.000026969625,0.00041763933,0.000018641895,0.00024239195],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0039059075,0.00015016779,0.00020895299,0.00034294647,0.00024135452,0.00002755766,0.00042650173,0.00018907803,0.0007126764],"category_scores_gemma":[0.00003501025,0.000084185114,0.000034456843,0.0009207785,0.0002458484,0.00021587804,0.00049778755,0.00044125956,0.000476731],"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":[0.0064336755,0.001779918,0.3534928,0.000063018546,0.0001161745,0.00093140197,0.07918253,0.28181356,0.22431795,0.0002921027,0.0005642288,0.051012635],"study_design_scores_gemma":[0.0017277031,0.0012806535,0.054296393,0.0000869276,0.000025446794,0.00003419581,0.0006538409,0.85569775,0.040472116,0.011364417,0.03358965,0.00077088946],"about_ca_topic_score_codex":0.0041279215,"about_ca_topic_score_gemma":0.0019220319,"teacher_disagreement_score":0.5738842,"about_ca_system_score_codex":0.00014704559,"about_ca_system_score_gemma":0.0000026722212,"threshold_uncertainty_score":0.78033066},"labels":[],"label_agreement":null},{"id":"W1563805664","doi":"10.1029/2009wr008804","title":"Spatial relationships between soil moisture patterns and topographic variables at multiple scales in a humid temperate forested catchment","year":2010,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Watershed Management Studies","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":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Water content; Environmental science; Drainage basin; Temperate climate; Hydrology (agriculture); Temperate forest; Spatial ecology; Soil science; Spatial variability; Moisture; Spatial heterogeneity; Geology; Geography; Ecology; Mathematics; Meteorology; Cartography; Statistics","score_opus":0.03206869666969833,"score_gpt":0.27145356625657135,"score_spread":0.23938486958687302,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1563805664","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99649894,0.000018127414,0.000016468219,0.0018059135,0.00003867097,0.0004178199,0.000011584628,0.00003073076,0.0011617683],"genre_scores_gemma":[0.9987396,0.000043968896,0.00005488978,0.000030257352,0.00007238468,0.000113037226,0.00004322341,0.000015714912,0.0008869406],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99775714,0.00042149506,0.00023617227,0.0004874483,0.0004417873,0.00065596955],"domain_scores_gemma":[0.9993397,0.00019689597,0.000025007783,0.0002992989,0.000012798234,0.0001262822],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017403105,0.0001616922,0.00018473032,0.00021404732,0.00088474294,0.000072302944,0.00028712922,0.0001709154,0.00018154565],"category_scores_gemma":[0.00007097219,0.00011162046,0.00003137782,0.0002020977,0.0006750821,0.0001250714,0.0012418864,0.0008030209,0.00015404621],"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":[0.00004861321,0.000043852855,0.98955816,0.000023913075,0.000023208402,0.000015175725,0.004173719,0.00018033,0.005541945,0.000009116106,0.00017232072,0.00020964138],"study_design_scores_gemma":[0.0005269394,0.00006133957,0.98676366,0.000013178408,0.000007849867,0.0000018435053,0.00024305767,0.00031011843,0.0039595044,0.0009462717,0.0070188255,0.00014738807],"about_ca_topic_score_codex":0.0136083625,"about_ca_topic_score_gemma":0.18707901,"teacher_disagreement_score":0.17347065,"about_ca_system_score_codex":0.000061923456,"about_ca_system_score_gemma":0.0000017790156,"threshold_uncertainty_score":0.9929601},"labels":[],"label_agreement":null},{"id":"W1564295556","doi":"10.1029/2004wr003030","title":"Reply to comment by Jiří Mls on “Contaminant migration from an axisymmetric source in a porous medium”","year":2004,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Groundwater flow and contamination 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":"McGill University","funders":"","keywords":"Rotational symmetry; Porous medium; Porosity; Petroleum engineering; Geology; Environmental science; Hydrology (agriculture); Mechanics; Geotechnical engineering; Physics","score_opus":0.027856746125097434,"score_gpt":0.2987377426110379,"score_spread":0.2708809964859405,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1564295556","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97075236,0.00004661279,0.00070444867,0.027176723,0.000047224446,0.00054223894,0.000014213388,0.000040094787,0.000676102],"genre_scores_gemma":[0.99015003,0.000012811545,0.0001416958,0.0039109737,0.0000613743,0.00018785805,0.000066364984,0.000026292073,0.0054426086],"study_design_codex":"qualitative","study_design_gemma":"not_applicable","domain_scores_codex":[0.9963771,0.0003893312,0.0003650402,0.0007081222,0.0013871586,0.00077323953],"domain_scores_gemma":[0.9990617,0.00011294178,0.00003367658,0.0005091812,0.00003314769,0.00024934745],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0014081784,0.00020486889,0.00023507544,0.00037878158,0.00034618712,0.00018408772,0.00055128866,0.00007713847,0.00034837492],"category_scores_gemma":[0.000071112394,0.00014415094,0.000039049355,0.00056172657,0.00016362198,0.00022430322,0.0005096473,0.00034111165,0.0015243476],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010070861,0.0029398722,0.21209362,0.000028647723,0.00008343883,0.00026655287,0.31328174,0.003832465,0.13776986,0.000033031956,0.062397193,0.26626647],"study_design_scores_gemma":[0.0011357961,0.0010172566,0.080279276,0.000042154104,0.0000044337976,0.0000024840333,0.003087352,0.00010808121,0.069820754,0.00025576502,0.8439649,0.00028175136],"about_ca_topic_score_codex":0.083619304,"about_ca_topic_score_gemma":0.00847767,"teacher_disagreement_score":0.7815677,"about_ca_system_score_codex":0.00077722594,"about_ca_system_score_gemma":0.0000068941686,"threshold_uncertainty_score":0.9992531},"labels":[],"label_agreement":null},{"id":"W1564713432","doi":"10.1002/wrcr.20327","title":"Palaeohydrogeological insights from natural tracer profiles in aquitard porewater, Great Artesian Basin, Australia","year":2013,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Groundwater and Isotope Geochemistry","field":"Earth and Planetary Sciences","cited_by":46,"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":"","keywords":"Aquifer; Artesian aquifer; Geology; Groundwater recharge; Groundwater; TRACER; Phreatic; Structural basin; Hydrology (agriculture); Geochemistry; Geomorphology; Geotechnical engineering","score_opus":0.04126914009543291,"score_gpt":0.27091507172333185,"score_spread":0.22964593162789892,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1564713432","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9940662,0.00035457115,5.0829584e-7,0.00089406496,0.00012196638,0.00049706415,0.000028856368,0.000052768606,0.003984015],"genre_scores_gemma":[0.9919353,0.000014269151,0.00013566835,0.00007745287,0.00029763102,0.000030601208,0.00064607116,0.000009075152,0.0068539325],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9963784,0.00046267212,0.00039130263,0.0006933161,0.0008357436,0.0012385432],"domain_scores_gemma":[0.9990207,0.00013335237,0.000026449856,0.0004117184,0.000093820185,0.00031397608],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00041542473,0.00027516152,0.0003280798,0.00026657566,0.00025087607,0.00043863736,0.00070715015,0.00024210429,0.022923706],"category_scores_gemma":[0.00003254711,0.00015526515,0.00009210465,0.00029651044,0.000437832,0.00043353287,0.00011383489,0.00086542615,0.0054294574],"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":[0.00012712444,0.000062786865,0.96850854,0.00004091792,0.000031724914,0.00032958962,0.0046459264,0.00004538528,0.019184817,0.0000031917114,0.0023181008,0.0047018914],"study_design_scores_gemma":[0.0006332756,0.00016282221,0.898114,0.000051160052,0.0000053046074,0.000025934547,0.0007387698,0.001274508,0.065292746,0.0045827753,0.028717974,0.00040067625],"about_ca_topic_score_codex":0.06426823,"about_ca_topic_score_gemma":0.004636666,"teacher_disagreement_score":0.070394486,"about_ca_system_score_codex":0.000019612859,"about_ca_system_score_gemma":0.000014207657,"threshold_uncertainty_score":0.99534494},"labels":[],"label_agreement":null},{"id":"W1565374497","doi":"10.1002/2013wr013604","title":"A field and modeling study of nonlinear storage-discharge dynamics for an Alpine headwater catchment","year":2014,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":73,"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":"Hydrology (agriculture); Field (mathematics); Environmental science; Drainage basin; Nonlinear system; Geology; Geotechnical engineering; Geography; Physics; Mathematics","score_opus":0.04895851928132822,"score_gpt":0.331442659129531,"score_spread":0.2824841398482028,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1565374497","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9957616,0.000008343311,0.0015505231,0.0010432295,0.000023479917,0.0007006942,0.0000033034364,0.000017182863,0.0008916891],"genre_scores_gemma":[0.99843186,0.0000058615447,0.00031052364,0.00007258999,0.000043464315,0.00010188087,0.000012703717,0.000014357432,0.0010067391],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983712,0.00022403206,0.00020411442,0.00038471015,0.00035183362,0.00046410723],"domain_scores_gemma":[0.99951607,0.000062090214,0.000018625235,0.00029989565,0.000021205768,0.00008210561],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015972062,0.000115424155,0.00018755088,0.00009554037,0.00035600056,0.000031371797,0.000260484,0.000052780284,0.00008369979],"category_scores_gemma":[0.000025613244,0.000075058335,0.000023953999,0.00006839155,0.00014768838,0.00011147396,0.0006959458,0.00016109199,0.000027150576],"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":[0.0035966702,0.005899889,0.5675736,0.0006755846,0.0005832978,0.000023017068,0.24702646,0.13390213,0.016038368,0.0002033637,0.0028937624,0.021583868],"study_design_scores_gemma":[0.0013933325,0.004804869,0.0011212227,0.000013086726,0.000025912323,0.000001085789,0.0035451213,0.977938,0.001906309,0.0008261263,0.008213386,0.00021153782],"about_ca_topic_score_codex":0.0020041023,"about_ca_topic_score_gemma":0.0015911539,"teacher_disagreement_score":0.84403586,"about_ca_system_score_codex":0.00003672829,"about_ca_system_score_gemma":8.351013e-7,"threshold_uncertainty_score":0.30607903},"labels":[],"label_agreement":null},{"id":"W1565426204","doi":"10.1029/2010wr010120","title":"Application of an extended Kalman filter approach to inversion of time‐lapse electrical resistivity imaging data for monitoring recharge","year":2011,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Geophysical and Geoelectrical Methods","field":"Earth and Planetary Sciences","cited_by":33,"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","funders":"","keywords":"Extended Kalman filter; Groundwater recharge; Electrical resistivity tomography; Electrical resistivity and conductivity; Kalman filter; Ensemble Kalman filter; Geology; Aquifer; Groundwater; Engineering; Geotechnical engineering; Computer science; Electrical engineering; Artificial intelligence","score_opus":0.10653100434828917,"score_gpt":0.3338037218877539,"score_spread":0.22727271753946476,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1565426204","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99121577,0.00007837908,0.005362279,0.000083636754,0.00002371995,0.00067504507,0.000105918916,0.000026101869,0.0024291247],"genre_scores_gemma":[0.97213113,0.000004457852,0.02721284,0.000009748364,0.00012659545,0.00001352226,0.00020563153,0.000006856721,0.00028918538],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99751645,0.000549566,0.0002626867,0.00055245904,0.00056661764,0.00055219576],"domain_scores_gemma":[0.998509,0.0003139507,0.00004819395,0.00072638586,0.00017900803,0.000223446],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026213215,0.00011138995,0.00024134977,0.00026457242,0.00016162939,0.000024112775,0.00095619686,0.00006548277,0.00008039827],"category_scores_gemma":[0.00027119022,0.00007514478,0.00004698549,0.0005690081,0.00010907612,0.00021131369,0.00016169406,0.00023917055,0.000060460643],"study_design_candidate":"design_other","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":[0.0015678183,0.0004903632,0.021899894,0.00016269597,0.000026379723,0.0000020698944,0.0017382755,0.000053560816,0.06894923,0.00003197157,0.00036300698,0.9047147],"study_design_scores_gemma":[0.0005327715,0.0013601171,0.2900205,0.00003298365,0.000027392187,0.000002932599,0.00013647966,0.34095892,0.35126933,0.0077723553,0.00755479,0.00033141335],"about_ca_topic_score_codex":0.0031043687,"about_ca_topic_score_gemma":0.000013205321,"teacher_disagreement_score":0.9043833,"about_ca_system_score_codex":0.00000677544,"about_ca_system_score_gemma":0.000013899506,"threshold_uncertainty_score":0.46928975},"labels":[],"label_agreement":null},{"id":"W1566408183","doi":"10.1029/2009wr008881","title":"Experimental investigation of dynamic effects in capillary pressure: Grain size dependency and upscaling","year":2010,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Soil and Unsaturated Flow","field":"Engineering","cited_by":92,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Capillary pressure; Saturation (graph theory); Capillary action; Mechanics; Materials science; Capillary number; Grain size; Geotechnical engineering; Thermodynamics; Soil science; Porous medium; Geology; Mathematics; Composite material; Porosity; Physics","score_opus":0.011087523896339614,"score_gpt":0.2616171516682171,"score_spread":0.2505296277718775,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1566408183","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99788254,0.0013102528,0.0000030764147,0.00003862658,0.0001086109,0.00020755066,0.000001661785,0.00005166932,0.00039598698],"genre_scores_gemma":[0.9995395,0.000021219272,0.00018984493,0.0000043064088,0.00003554768,0.000033470795,0.000005794408,0.00002497213,0.0001453646],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99889743,0.00011894445,0.00016218906,0.00017607924,0.00030887217,0.00033648356],"domain_scores_gemma":[0.9995446,0.0001591334,0.000007870069,0.00016740555,0.000031840875,0.00008913493],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005105412,0.000102422586,0.00013341235,0.00019262543,0.000054482116,0.00004276571,0.00014338737,0.00013931192,0.000022050432],"category_scores_gemma":[0.000064389205,0.00007871785,0.00001939143,0.00017089918,0.00014082338,0.00009401796,0.00008255354,0.0005839824,0.0000076861625],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018466362,0.000010492263,0.007617232,0.00019599132,0.000013603645,0.000015035932,0.006771259,0.00020204777,0.98382807,0.000009625058,0.000021280663,0.0012969073],"study_design_scores_gemma":[0.0004570925,0.000051240782,0.021692416,0.00006103756,0.0000030942524,0.000008171759,0.0002482805,0.028616821,0.94776255,0.00047301373,0.00050588616,0.00012036969],"about_ca_topic_score_codex":0.00022334688,"about_ca_topic_score_gemma":0.000094799165,"teacher_disagreement_score":0.03606548,"about_ca_system_score_codex":0.000017057337,"about_ca_system_score_gemma":0.000005507585,"threshold_uncertainty_score":0.32100207},"labels":[],"label_agreement":null},{"id":"W1566683466","doi":"10.1029/2010wr010196","title":"Spatiotemporal averaging of in‐stream solute removal dynamics","year":2011,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Soil and Water Nutrient Dynamics","field":"Environmental Science","cited_by":64,"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","funders":"University of British Columbia; Purdue University; National Science Foundation","keywords":"Biogeochemical cycle; Scaling; Inverse; Exponent; Environmental science; Soil science; Hydrology (agriculture); Statistical physics; Mathematics; Physics; Ecology; Geology; Geometry","score_opus":0.051407999996826895,"score_gpt":0.2776822676761564,"score_spread":0.2262742676793295,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1566683466","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96163374,0.0000112139805,0.00004394576,0.00012374193,0.000043748332,0.00016283996,0.000004888267,0.000021708773,0.037954174],"genre_scores_gemma":[0.9976235,0.000015107765,0.00073710317,0.000012466046,0.000021429503,0.000010513577,0.000014574652,0.000020365038,0.0015449295],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99780935,0.0001894968,0.00029517093,0.00034099942,0.0007027927,0.0006622041],"domain_scores_gemma":[0.9994419,0.00002932314,0.00003387486,0.00036762428,0.000020983483,0.00010629242],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010773608,0.000119581746,0.00016461419,0.00021239845,0.00010631811,0.000024583733,0.00050448324,0.00008624749,0.00034772215],"category_scores_gemma":[0.00001984305,0.00008708347,0.00005149884,0.00034812288,0.00044829512,0.00016505786,0.00071226485,0.00032320127,0.00029546075],"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":[0.00010182537,0.00013652311,0.98410463,0.000018678136,0.0000061513265,0.000096673364,0.010314034,0.00014757687,0.00036274415,0.000043356795,0.00006626169,0.00460157],"study_design_scores_gemma":[0.002335978,0.00071838347,0.758756,0.00017145918,0.000014279604,0.00008789156,0.002691676,0.11886,0.040286954,0.05689299,0.01827811,0.0009062713],"about_ca_topic_score_codex":0.008349957,"about_ca_topic_score_gemma":0.0005241936,"teacher_disagreement_score":0.22534859,"about_ca_system_score_codex":0.00021362012,"about_ca_system_score_gemma":0.0000052967575,"threshold_uncertainty_score":0.9982535},"labels":[],"label_agreement":null},{"id":"W1567033418","doi":"10.1029/2010wr010131","title":"Spring flood reconstruction from continuous and discrete tree ring series","year":2011,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Tree-ring climate responses","field":"Earth and Planetary Sciences","cited_by":29,"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":"Fonds Québécois de la Recherche sur la Nature et les Technologies; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; ArcticNet","keywords":"Flood myth; Dendrochronology; Streamflow; Hydropower; Jackknife resampling; Discharge; Hydrology (agriculture); Environmental science; Robustness (evolution); Climatology; Geology; Mathematics; Statistics; Geography; Drainage basin; Cartography; Geotechnical engineering; Archaeology; Engineering","score_opus":0.05186439974072454,"score_gpt":0.25884969254574247,"score_spread":0.20698529280501793,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1567033418","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9830668,0.0006754748,0.000004601612,0.00010428543,0.000108045184,0.00014496321,0.000039227725,0.0000854641,0.01577115],"genre_scores_gemma":[0.99761975,0.00014640464,0.0011439224,0.0000058999367,0.00013757026,0.0000029147604,0.000014411036,0.000009842915,0.0009192794],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9979775,0.00034700634,0.00021222193,0.00040915422,0.0004090361,0.000645096],"domain_scores_gemma":[0.9992807,0.00018420148,0.00002828271,0.00027493405,0.00004779796,0.00018409526],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007703539,0.00014229225,0.0001894905,0.00024227229,0.00039972918,0.0002421928,0.00027194974,0.00008312524,0.0014972856],"category_scores_gemma":[0.00007908687,0.000096882424,0.000036493177,0.00013237256,0.00040696067,0.00039465478,0.00010713279,0.00031843167,0.00037578816],"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":[0.0004478832,0.000006253744,0.9107157,0.000022532697,0.000036831447,0.00006879185,0.005446545,0.0000072374914,0.0025623958,0.000007326177,0.0000061665683,0.080672316],"study_design_scores_gemma":[0.00031364078,0.00021386577,0.96731085,0.00007502578,0.000010758193,0.000065205146,0.0019253305,0.0003819211,0.022228174,0.0008327517,0.0064483914,0.00019406382],"about_ca_topic_score_codex":0.027759109,"about_ca_topic_score_gemma":0.013972268,"teacher_disagreement_score":0.08047825,"about_ca_system_score_codex":0.00000657716,"about_ca_system_score_gemma":0.000009400654,"threshold_uncertainty_score":0.99941546},"labels":[],"label_agreement":null},{"id":"W1569864384","doi":"10.1029/2005wr004006","title":"Development of a forecasting system for supporting remediation design and process control based on NAPL‐biodegradation simulation and stepwise‐cluster analysis","year":2006,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Groundwater flow and contamination studies","field":"Environmental Science","cited_by":90,"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 New Brunswick; University of Regina","funders":"","keywords":"Bioremediation; Environmental remediation; Process (computing); Computer science; Biochemical engineering; Biodegradation; Modeling and simulation; Environmental science; Process engineering; Engineering; Simulation; Contamination; Ecology","score_opus":0.054363689818999875,"score_gpt":0.3084816238122598,"score_spread":0.25411793399325994,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1569864384","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.69550145,0.0000057803654,0.30383688,0.00006411234,0.0000049141127,0.0005191712,0.0000024714811,0.000010662617,0.000054554665],"genre_scores_gemma":[0.996203,1.09504015e-7,0.0034070588,0.000009883531,0.000017807171,0.00014709603,0.000035839028,0.000008533532,0.00017066604],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983772,0.00017599732,0.00035140046,0.0002826497,0.00054466183,0.0002680833],"domain_scores_gemma":[0.9993247,0.00036165505,0.00009777556,0.00008420682,0.00009465363,0.000037051414],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023459378,0.00009449739,0.0001672997,0.00023617197,0.0003893884,0.00007652768,0.00006533862,0.000043181,0.000009902432],"category_scores_gemma":[0.000057687415,0.000066880224,0.000025070034,0.00024377638,0.00008112501,0.00012379633,0.000047698402,0.000052898722,0.0000022723145],"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":[0.0008310327,0.00009476468,0.14067785,0.00045566482,0.00012149289,0.0000018302278,0.014496765,0.7725348,0.010905568,0.0000063063335,0.00001743256,0.05985653],"study_design_scores_gemma":[0.0007961865,0.00009499007,0.019517224,0.000027208953,0.000045363024,2.5727513e-7,0.0007447778,0.9667217,0.011534658,0.000015067855,0.000417657,0.00008488319],"about_ca_topic_score_codex":0.00007673513,"about_ca_topic_score_gemma":0.00008425909,"teacher_disagreement_score":0.30070156,"about_ca_system_score_codex":0.00010955943,"about_ca_system_score_gemma":0.0000061362866,"threshold_uncertainty_score":0.29949},"labels":[],"label_agreement":null},{"id":"W1570953170","doi":"10.1029/2008wr007396","title":"Hydrological properties of duff","year":2009,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Soil and Unsaturated Flow","field":"Engineering","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":"University of Calgary","funders":"","keywords":"Canopy; Hydrology (agriculture); Environmental science; Layer (electronics); Soil science; Hydraulic conductivity; Atmospheric sciences; Tree canopy; Geology; Soil water; Materials science; Geotechnical engineering; Ecology; Composite material","score_opus":0.05403083133613675,"score_gpt":0.2695820190645943,"score_spread":0.21555118772845752,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1570953170","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9821788,0.0007299831,0.0000036250308,0.00032392176,0.000026902884,0.00008736163,7.6530756e-7,0.00013304887,0.01651558],"genre_scores_gemma":[0.9989675,0.000044182307,0.000026152158,0.0000181422,0.00008670439,0.0000073088186,0.0000019015006,0.000010246981,0.00083782146],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9988919,0.0000702185,0.00014184254,0.000121359655,0.00035315705,0.00042155822],"domain_scores_gemma":[0.9996627,0.000015217573,0.0000037039329,0.00018812969,0.00006434856,0.000065889406],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034318282,0.0000800798,0.00012620262,0.00014747959,0.00005986704,0.000034785626,0.0002326779,0.00009484831,0.00008083949],"category_scores_gemma":[0.000022334369,0.000044019875,0.000035176137,0.00016759105,0.00010524228,0.000049809663,0.00003823714,0.0003401647,0.00014015418],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012907233,0.0000680852,0.0004471844,0.00008390788,0.00003062817,0.000035069064,0.00572032,0.0050939615,0.9711998,0.000056408582,0.0016348708,0.015500692],"study_design_scores_gemma":[0.00025234104,0.0002548416,0.0018907342,0.000045936613,0.000002737488,0.0000083845125,0.00014744441,0.012701657,0.9253293,0.0005230948,0.058703274,0.00014020408],"about_ca_topic_score_codex":0.000019909525,"about_ca_topic_score_gemma":0.0000015187891,"teacher_disagreement_score":0.0570684,"about_ca_system_score_codex":0.000017054455,"about_ca_system_score_gemma":0.0000026759587,"threshold_uncertainty_score":0.1801445},"labels":[],"label_agreement":null},{"id":"W1571972812","doi":"10.1029/2006wr005069","title":"Estimating shear stress from moving boat acoustic Doppler velocity measurements in a large gravel bed river","year":2007,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Sediment Transport Processes","field":"Environmental Science","cited_by":92,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Geology; Shear stress; Transect; Shear velocity; Geodesy; Acoustic Doppler current profiler; Geotechnical engineering; Bed load; Logarithm; Repeatability; Bedform; Shear (geology); Hydrology (agriculture); Geomorphology; Turbulence; Meteorology; Mechanics; Mathematics; Statistics; Current (fluid); Sediment transport; Sediment; Geography","score_opus":0.04990280720252047,"score_gpt":0.3098068989974246,"score_spread":0.2599040917949041,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1571972812","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9953085,0.000052711344,0.002165063,0.00011846311,0.00005364365,0.00029522227,0.000018539473,0.000041061594,0.0019467563],"genre_scores_gemma":[0.99785453,0.00000332642,0.0016296912,0.000089873094,0.000074945136,0.000023401408,0.000043417393,0.000022908604,0.00025790549],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9963137,0.00021717226,0.00036364543,0.0005784126,0.0012869583,0.0012401419],"domain_scores_gemma":[0.99930745,0.0001623565,0.000032320066,0.0002798067,0.00002870414,0.00018934679],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0036654174,0.00018094023,0.00021046908,0.00016893705,0.00044276894,0.000055714663,0.0005265422,0.00016347623,0.0029836309],"category_scores_gemma":[0.00009326479,0.00013827517,0.000041612828,0.00034501578,0.00041334252,0.00023739054,0.000347277,0.00066957227,0.0005873884],"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":[0.00020379062,0.0002912912,0.92550135,0.000040596286,0.000028729932,0.00013612237,0.024051262,0.009814135,0.03814355,8.8090405e-7,0.000097277174,0.0016910022],"study_design_scores_gemma":[0.002331129,0.00015904813,0.8531864,0.00018506816,0.000025969575,0.0000048924653,0.0011187904,0.03350936,0.104838535,0.0011885344,0.0028734638,0.0005787874],"about_ca_topic_score_codex":0.0043241307,"about_ca_topic_score_gemma":0.003566148,"teacher_disagreement_score":0.07231494,"about_ca_system_score_codex":0.00020164771,"about_ca_system_score_gemma":0.0000092921155,"threshold_uncertainty_score":0.9979278},"labels":[],"label_agreement":null},{"id":"W1572858663","doi":"10.1029/2009wr008365","title":"Quantifying hyporheic exchange in a tidal river using temperature time series","year":2010,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Groundwater flow and contamination studies","field":"Environmental Science","cited_by":33,"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 British Columbia","funders":"","keywords":"Hydrology (agriculture); Groundwater; Hyporheic zone; Geology; Forcing (mathematics); Estuary; Groundwater flow; Pressure gradient; Environmental science; Flow (mathematics); Hydraulic head; Aquifer; Atmospheric sciences; Oceanography; Geotechnical engineering","score_opus":0.05339787784360371,"score_gpt":0.3117260995124862,"score_spread":0.2583282216688825,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1572858663","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99736345,0.000039083563,0.0000050919275,0.00044387666,0.00007236723,0.0002097792,0.000003308603,0.000028975912,0.001834053],"genre_scores_gemma":[0.9751768,0.0000061585733,0.0002890506,0.000036112677,0.000094501054,0.000031085252,0.0000061288038,0.000019061272,0.024341064],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.9979334,0.0002009053,0.00017564565,0.00037366585,0.0006731822,0.0006431952],"domain_scores_gemma":[0.9995655,0.00004057699,0.000016517302,0.00026267167,0.000029819788,0.0000849556],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0011212731,0.000137159,0.0001565485,0.00018393603,0.00042795166,0.00016552738,0.00032707938,0.00010919204,0.0024468848],"category_scores_gemma":[0.000030981435,0.00009347552,0.000037670055,0.0003362567,0.00055603054,0.00035793986,0.00071633735,0.00059924956,0.0016670023],"study_design_candidate":"bench_or_experimental","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":[0.00004783079,0.000054409684,0.11594801,0.000020648333,0.000009077999,0.00007350502,0.022416605,0.000038351696,0.85704124,0.0000071469617,0.00051028706,0.0038328976],"study_design_scores_gemma":[0.001074184,0.00017769948,0.2996414,0.000062935396,0.000009558009,0.0000800739,0.0020960027,0.0017895247,0.121547036,0.00023263422,0.5726247,0.0006642613],"about_ca_topic_score_codex":0.0014510566,"about_ca_topic_score_gemma":0.0018314976,"teacher_disagreement_score":0.7354942,"about_ca_system_score_codex":0.000088250796,"about_ca_system_score_gemma":0.00000461284,"threshold_uncertainty_score":0.99911034},"labels":[],"label_agreement":null},{"id":"W1573526995","doi":"10.1029/2004wr003433","title":"Use of dissolved and vapor‐phase gases to investigate methanogenic degradation of petroleum hydrocarbon contamination in the subsurface","year":2005,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":135,"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 British Columbia","funders":"","keywords":"Methanogenesis; Environmental chemistry; Methane; Hydrocarbon; Vadose zone; Aquifer; Petroleum; Environmental science; Biodegradation; Chemistry; Geology; Groundwater; Soil science; Soil water; Geotechnical engineering","score_opus":0.04817963413179114,"score_gpt":0.2974829761313018,"score_spread":0.24930334199951068,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1573526995","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9987253,0.000046017212,0.00019090333,0.0005264435,0.000004961468,0.00029164556,0.000003010494,0.0000045705933,0.00020713737],"genre_scores_gemma":[0.9972231,0.000049947994,0.0018382347,0.000049213297,0.000006705063,0.00002061386,0.0000084211715,0.000010634849,0.0007931303],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99827594,0.00032794985,0.00025344215,0.00023152128,0.0006218796,0.00028928058],"domain_scores_gemma":[0.99949974,0.000133734,0.000045321252,0.00023298444,0.000006343699,0.00008189164],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010530937,0.00009601705,0.00013655669,0.000035965455,0.00006653913,0.000024345663,0.00022920851,0.000046531786,0.00007707803],"category_scores_gemma":[0.000058844827,0.00006118107,0.000025770774,0.00023610718,0.00043941275,0.00018669017,0.00022906464,0.00014383045,0.000014967695],"study_design_candidate":"bench_or_experimental","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":[0.00028385114,0.00040440133,0.30353367,0.000027429529,0.000015884352,0.0000073442984,0.01579238,0.09731497,0.56911814,0.000018487654,0.000053889475,0.0134295365],"study_design_scores_gemma":[0.0021379436,0.0013479706,0.44715017,0.000079505495,0.000036238445,0.000013870971,0.0038398204,0.14611182,0.3774644,0.00024045912,0.021167502,0.0004102767],"about_ca_topic_score_codex":0.0019651328,"about_ca_topic_score_gemma":0.00052476686,"teacher_disagreement_score":0.19165374,"about_ca_system_score_codex":0.00011050737,"about_ca_system_score_gemma":0.0000025875672,"threshold_uncertainty_score":0.29707062},"labels":[],"label_agreement":null},{"id":"W1574419297","doi":"10.1029/2007wr006310","title":"Interannual variability in trophic status of shallow lakes on the Boreal Plain: Is there a climate signal?","year":2008,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Aquatic Ecosystems and Phytoplankton Dynamics","field":"Environmental Science","cited_by":21,"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; Western University","funders":"","keywords":"Trophic level; Boreal; Environmental science; Precipitation; Taiga; Climatology; Climate change; Coastal plain; Growing season; Physical geography; Atmospheric sciences; Ecology; Geography; Biology; Geology","score_opus":0.03627349231320519,"score_gpt":0.2789854322821276,"score_spread":0.24271193996892237,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1574419297","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9738327,0.000020984518,0.0000069449484,0.0004380079,0.00001651459,0.00037988593,0.00008146439,0.000010044193,0.025213426],"genre_scores_gemma":[0.9992246,0.00006546254,0.000021310618,0.000056078952,0.000028526696,0.000042619187,0.000009703614,0.00001553124,0.0005361548],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9966505,0.0010027023,0.0003449817,0.00034630593,0.00085306226,0.00080243277],"domain_scores_gemma":[0.9987937,0.0005627614,0.000044348417,0.00046625026,0.00002182553,0.000111066634],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0028402025,0.000135012,0.0002156434,0.00007435224,0.00023437614,0.000029416593,0.00049617194,0.000084467334,0.0028532275],"category_scores_gemma":[0.00007783391,0.0000704232,0.000064150205,0.00025009367,0.0005329779,0.00006846974,0.00034842247,0.00047576395,0.00031422495],"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":[0.0004504139,0.00029791324,0.9446344,0.00008473153,0.000022672866,0.000073091105,0.04917226,0.00096306903,0.0018200928,0.00028606763,0.0007228963,0.0014724021],"study_design_scores_gemma":[0.001470773,0.0013665233,0.8313822,0.0002853517,0.0000083088535,0.000031406642,0.0036567072,0.068757944,0.0072595156,0.0034638972,0.08176351,0.0005538193],"about_ca_topic_score_codex":0.0046710186,"about_ca_topic_score_gemma":0.0021976891,"teacher_disagreement_score":0.11325215,"about_ca_system_score_codex":0.00016807184,"about_ca_system_score_gemma":0.000012981059,"threshold_uncertainty_score":0.9980583},"labels":[],"label_agreement":null},{"id":"W1575463142","doi":"10.1029/2011wr011040","title":"Exploratory functional flood frequency analysis and outlier detection","year":2012,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Drought Analysis","field":"Environmental Science","cited_by":101,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Hydro-Québec; Institut National de la Recherche Scientifique","funders":"","keywords":"Hydrograph; Flood myth; Context (archaeology); Computer science; Outlier; Univariate; Functional data analysis; Data mining; Hydrology (agriculture); Multivariate statistics; Environmental science; Geography; Geology; Artificial intelligence; Machine learning","score_opus":0.03607489950290302,"score_gpt":0.2780189450910857,"score_spread":0.2419440455881827,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1575463142","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99288106,0.00015114658,0.0006692628,0.0001804127,0.000036065787,0.000070089736,0.0000015282012,0.000040299055,0.0059701474],"genre_scores_gemma":[0.99780583,0.00001365885,0.000081946026,0.000055251665,0.00014078636,0.000038619317,0.0000091270995,0.000012395768,0.0018424088],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9979328,0.00042092218,0.00015184283,0.00030401116,0.0005854417,0.0006050103],"domain_scores_gemma":[0.9994348,0.00005690024,0.000017190494,0.0002602848,0.00001735531,0.00021341119],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001776756,0.000099646684,0.0001436511,0.0003323458,0.00049546454,0.000045550227,0.00013698205,0.000111747926,0.0058690114],"category_scores_gemma":[0.00003382825,0.00006853347,0.00008307123,0.00084871467,0.00040082028,0.00036122167,0.00027527587,0.00030711928,0.002647096],"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":[0.000036389276,0.00008657898,0.9557838,0.0000035910612,0.00025850337,0.0000045715237,0.0053078136,0.00025706238,0.03577588,0.000006495717,0.00026608485,0.002213226],"study_design_scores_gemma":[0.00039817268,0.00012775177,0.87644285,0.0000022544486,0.00038642203,0.000012317054,0.00084401236,0.0020367526,0.055144075,0.00116786,0.06308489,0.00035264963],"about_ca_topic_score_codex":0.0006463881,"about_ca_topic_score_gemma":0.00077399414,"teacher_disagreement_score":0.07934096,"about_ca_system_score_codex":0.00007987067,"about_ca_system_score_gemma":0.0000018640128,"threshold_uncertainty_score":0.9981295},"labels":[],"label_agreement":null},{"id":"W1576918191","doi":"10.1002/wrcr.20154","title":"Spatial scale of land‐use impacts on riverine drinking source water quality","year":2013,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Water Quality and Pollution Assessment","field":"Environmental Science","cited_by":42,"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 Victoria","funders":"","keywords":"Watershed; Environmental science; Land use; Water quality; Scale (ratio); Water resource management; Hydrology (agriculture); Geography; Ecology; Cartography; Geology","score_opus":0.07655233271272759,"score_gpt":0.3529504938468047,"score_spread":0.2763981611340771,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1576918191","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9941088,0.0000028519214,0.000115535695,0.0015922217,0.000044946544,0.00039812195,0.000008125599,0.000040457548,0.003688968],"genre_scores_gemma":[0.9918803,0.0000056286817,0.00013287707,0.00015829684,0.00008404672,0.000035154248,0.000024404613,0.000021489956,0.007657786],"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99593425,0.00096075045,0.0004176558,0.00041288117,0.0013730702,0.00090138597],"domain_scores_gemma":[0.9989701,0.00012383318,0.000046523863,0.0005557323,0.00004434618,0.00025946967],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0020999587,0.00017334719,0.0002397423,0.00013386355,0.0003035364,0.00019345837,0.000471362,0.00010481969,0.010235402],"category_scores_gemma":[0.000039760824,0.00009751137,0.00008935817,0.00013274622,0.0005224357,0.0003112002,0.0008694557,0.00039849494,0.0054345443],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027413323,0.00046008176,0.5567026,0.0000804499,0.00003986449,0.000008433715,0.032170247,0.0018452605,0.39899996,0.00001633767,0.0017555143,0.007647131],"study_design_scores_gemma":[0.00060813234,0.00029859564,0.43318093,0.000039570823,0.000003873304,0.0000028480538,0.00023131169,0.00036925045,0.4735561,0.0004474601,0.09102262,0.00023932448],"about_ca_topic_score_codex":0.06875791,"about_ca_topic_score_gemma":0.0012130882,"teacher_disagreement_score":0.12352167,"about_ca_system_score_codex":0.00017504818,"about_ca_system_score_gemma":0.000004655964,"threshold_uncertainty_score":0.9953398},"labels":[],"label_agreement":null},{"id":"W1577140659","doi":"10.1029/2005wr003977","title":"Spatial distributions of perchloroethylene reactive transport parameters in the Borden Aquifer","year":2006,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Groundwater flow and contamination studies","field":"Environmental Science","cited_by":66,"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","funders":"University of Waterloo; National Science Foundation","keywords":"Correlogram; Variogram; Aquifer; TRACER; Transect; Geostatistics; Spatial distribution; Soil science; Contrast (vision); Aquifer properties; Linear regression; Geology; Range (aeronautics); Spatial correlation; Spatial variability; Mineralogy; Statistics; Mathematics; Kriging; Groundwater; Materials science; Physics; Optics","score_opus":0.029127193431384167,"score_gpt":0.2873635272757804,"score_spread":0.25823633384439626,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1577140659","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9922822,0.0000215174,0.00055682054,0.001236934,0.000014674424,0.0002636806,0.000019330864,0.000008188384,0.0055966596],"genre_scores_gemma":[0.9976878,0.0000048864276,0.000036333993,0.000017985465,0.000026040298,0.00008841793,0.00003935258,0.0000066484895,0.0020925],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9980226,0.00030733246,0.0002263289,0.00023724862,0.00079098594,0.00041548887],"domain_scores_gemma":[0.9995655,0.00012246078,0.000019038853,0.00023744036,0.00002812163,0.000027468574],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011850811,0.00009139264,0.00012674136,0.000079626494,0.00021313212,0.000028570841,0.0003701375,0.000045489633,0.00021681222],"category_scores_gemma":[0.000015886595,0.00005082167,0.000053724878,0.0002687315,0.00059361436,0.000098953446,0.00012536347,0.00024595181,0.0001122619],"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":[0.0002910247,0.00076983625,0.8465669,0.000030330315,0.00004045788,0.000092087634,0.06277645,0.0007201243,0.07206062,0.00019517541,0.001463527,0.014993471],"study_design_scores_gemma":[0.00034004723,0.00010909564,0.88783526,0.00000939906,0.0000071534764,0.0000035203302,0.002437763,0.00007755931,0.040706363,0.0005418787,0.067826964,0.00010499555],"about_ca_topic_score_codex":0.03715682,"about_ca_topic_score_gemma":0.006392001,"teacher_disagreement_score":0.06636344,"about_ca_system_score_codex":0.00010641566,"about_ca_system_score_gemma":0.0000036734605,"threshold_uncertainty_score":0.96925485},"labels":[],"label_agreement":null},{"id":"W1577178214","doi":"10.1029/2011wr011316","title":"Runoff generation in a steep, tropical montane cloud forest catchment on permeable volcanic substrate","year":2012,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":170,"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":"Division of Environmental Biology; Consejo Nacional de Ciencia y Tecnología; National Science Foundation","keywords":"Surface runoff; Hydrology (agriculture); Groundwater recharge; Environmental science; Baseflow; Cloud forest; Subsurface flow; Hydrograph; Streamflow; Water cycle; Soil water; Groundwater; Geology; Drainage basin; Soil science; Aquifer; Geography; Montane ecology; Ecology","score_opus":0.05260867568753872,"score_gpt":0.2949351300389346,"score_spread":0.2423264543513959,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1577178214","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98674864,0.00006275109,0.0000088401475,0.0016103517,0.000099139856,0.0003928866,0.0000014351976,0.000020975562,0.011054994],"genre_scores_gemma":[0.9926717,0.00004174834,0.0000253326,0.00016134595,0.00025444842,0.00012972885,0.000016666692,0.0000152137045,0.006683786],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99732995,0.0003588691,0.00021844028,0.00036240282,0.00063127093,0.0010990459],"domain_scores_gemma":[0.99950266,0.000034948425,0.000017582815,0.00029599917,0.000008274138,0.00014051593],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001123781,0.0001496618,0.00015946988,0.000131653,0.00035906714,0.0000499326,0.00028469443,0.0000892455,0.0010245105],"category_scores_gemma":[0.000017081564,0.0000998892,0.000038103335,0.00018295967,0.0002896031,0.00018078083,0.0004459675,0.0003654797,0.002375884],"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":[0.00021000447,0.0004236976,0.96119726,0.000018268745,0.000029713037,0.0000557299,0.011864831,0.011129669,0.00709337,0.00021021589,0.0073396517,0.00042758658],"study_design_scores_gemma":[0.0012028944,0.000654548,0.80783385,0.00001895479,0.0000138209725,0.0000070003057,0.0009161653,0.007962189,0.014598947,0.0004758827,0.16592371,0.00039204827],"about_ca_topic_score_codex":0.001570927,"about_ca_topic_score_gemma":0.0034463608,"teacher_disagreement_score":0.15858406,"about_ca_system_score_codex":0.00029086438,"about_ca_system_score_gemma":0.000002169139,"threshold_uncertainty_score":0.9998887},"labels":[],"label_agreement":null},{"id":"W1577198496","doi":"10.1029/2002wr001570","title":"Influence of constitutive model parameters on the predicted migration of DNAPL in heterogeneous porous media","year":2003,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Groundwater flow and contamination studies","field":"Environmental Science","cited_by":68,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Porous medium; Imbibition; Constitutive equation; Geotechnical engineering; Mechanics; Curvature; Relative permeability; Permeability (electromagnetism); Capillary pressure; Geology; Saturation (graph theory); Capillary action; Hysteresis; Characterisation of pore space in soil; Porosity; Finite element method; Geometry; Mathematics; Engineering; Physics; Thermodynamics; Chemistry; Structural engineering","score_opus":0.04041487039007235,"score_gpt":0.2741655916186329,"score_spread":0.23375072122856055,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1577198496","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99817777,0.000017673685,0.00013497985,0.00016740861,0.000007645849,0.0002830056,0.000010253093,0.0000058134674,0.0011954719],"genre_scores_gemma":[0.99944293,0.000014061272,0.000052383533,0.000041419735,0.0000020347125,0.00005198651,0.0000029893174,0.000005366101,0.00038685242],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9981602,0.00037376274,0.00025729006,0.00020837234,0.00071573746,0.0002846644],"domain_scores_gemma":[0.9994019,0.00024010181,0.000040070845,0.00023104834,0.000049648497,0.000037181333],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00091150054,0.000087814406,0.00013761241,0.00010989129,0.00009950289,0.00001505012,0.00024737747,0.00004594427,0.000057598587],"category_scores_gemma":[0.00018912074,0.0000494569,0.00002849254,0.00024311838,0.00091729517,0.000075395285,0.00012568057,0.00016301748,0.000029897745],"study_design_candidate":"bench_or_experimental","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":[0.000271757,0.00034682202,0.16942088,0.000035392444,0.000056104374,0.000025031391,0.08428675,0.6300956,0.11168533,0.00067126803,0.00020337268,0.0029016938],"study_design_scores_gemma":[0.0009230502,0.00047024083,0.08887659,0.00010439237,0.000012276827,0.000008272781,0.002916298,0.016444229,0.8840324,0.0015199853,0.0044349376,0.00025731922],"about_ca_topic_score_codex":0.0010535446,"about_ca_topic_score_gemma":0.0006959091,"teacher_disagreement_score":0.7723471,"about_ca_system_score_codex":0.00007539196,"about_ca_system_score_gemma":0.000008495646,"threshold_uncertainty_score":0.33798122},"labels":[],"label_agreement":null},{"id":"W1578247653","doi":"10.1029/2012wr012304","title":"Hydrologic response to multimodel climate output using a physically based model of groundwater/surface water interactions","year":2012,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":81,"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; Institut National de la Recherche Scientifique","funders":"Natural Sciences and Engineering Research Council of Canada; Deutsche Forschungsgemeinschaft; European Commission","keywords":"Downscaling; Environmental science; Groundwater recharge; Hydrograph; Precipitation; Climate change; Surface runoff; Hydrological modelling; Climate model; Climatology; Water resources; Hydrology (agriculture); Aquifer; Groundwater; Meteorology; Geology; Geography","score_opus":0.09510140845989765,"score_gpt":0.3418398867931663,"score_spread":0.24673847833326865,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1578247653","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99254596,0.0000063303974,0.0030816437,0.0020257141,0.00005598735,0.00048399618,0.000008438006,0.000054049113,0.0017378966],"genre_scores_gemma":[0.99472326,0.0000028896168,0.00235769,0.0003072313,0.00003976494,0.00005276378,0.000007842339,0.00003337368,0.002475163],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9960548,0.0008160654,0.0003490525,0.00048210126,0.00069050473,0.0016074259],"domain_scores_gemma":[0.99903816,0.0001392029,0.00003367958,0.00051772007,0.000037080536,0.00023414106],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003375847,0.00023671013,0.0002968642,0.00022450542,0.0006261395,0.000048452075,0.00052491034,0.00009174541,0.00046854073],"category_scores_gemma":[0.00004167838,0.00014115343,0.00010745119,0.00019913931,0.00053500535,0.00038607622,0.0018872928,0.00037181002,0.0018546375],"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":[0.0012709257,0.00033636857,0.013452006,0.000021909354,0.000030284016,0.000004239188,0.012350494,0.4932633,0.47903395,0.0000025060353,0.00016315066,0.00007085732],"study_design_scores_gemma":[0.00061973766,0.00033724649,0.0025238416,0.000026404196,0.00003382931,0.0000025745996,0.00035281203,0.82875735,0.15769482,0.00022120884,0.009086875,0.00034332136],"about_ca_topic_score_codex":0.00044553602,"about_ca_topic_score_gemma":0.00003762797,"teacher_disagreement_score":0.33549404,"about_ca_system_score_codex":0.00019741307,"about_ca_system_score_gemma":0.0000035213448,"threshold_uncertainty_score":0.9989225},"labels":[],"label_agreement":null},{"id":"W1578538178","doi":"10.1029/2004wr003605","title":"A Markov switching model for annual hydrologic time series","year":2005,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Drought Analysis","field":"Environmental Science","cited_by":64,"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 Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Autocorrelation; Markov chain; Autoregressive–moving-average model; Series (stratigraphy); Stochastic modelling; Hidden Markov model; Econometrics; Mathematics; Markov model; Statistics; Markov property; Time series; Applied mathematics; Sequence (biology); Computer science; Autoregressive model; Artificial intelligence","score_opus":0.022668675247835876,"score_gpt":0.29247064301077846,"score_spread":0.2698019677629426,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1578538178","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97985417,0.000036042024,0.00095203274,0.0047491477,0.000007132205,0.00024323694,0.000011940485,0.00005469574,0.01409158],"genre_scores_gemma":[0.93793356,0.0000070342544,0.0029343283,0.00025735924,0.00011777118,0.00008397677,0.000014030161,0.00001800524,0.058633942],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.997807,0.00021029646,0.00020055643,0.00044498005,0.00048504892,0.0008521201],"domain_scores_gemma":[0.99941385,0.000089679845,0.000020407591,0.00032122768,0.000020110208,0.00013475581],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0019117392,0.00013311706,0.00018206089,0.0001199145,0.00060434797,0.000058726342,0.0005005572,0.00014186901,0.0031485676],"category_scores_gemma":[0.000054538945,0.00008833326,0.0000998852,0.00018870708,0.00032314676,0.00035644035,0.00052517705,0.00031289764,0.0036960177],"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":[0.0022731025,0.0006074952,0.03336015,0.000054372544,0.00024772307,0.00006961981,0.07893157,0.6420483,0.1494998,0.000094064526,0.05684158,0.03597223],"study_design_scores_gemma":[0.00027659704,0.00014559783,0.00020822529,0.0000026965383,0.000012672798,0.000009185826,0.000090669106,0.8308466,0.003845776,0.002889167,0.16150557,0.00016723841],"about_ca_topic_score_codex":0.000114069124,"about_ca_topic_score_gemma":0.00018929571,"teacher_disagreement_score":0.18879831,"about_ca_system_score_codex":0.00009158765,"about_ca_system_score_gemma":0.000004888491,"threshold_uncertainty_score":0.9977627},"labels":[],"label_agreement":null},{"id":"W1579610342","doi":"10.1029/2008wr006992","title":"Stability of delta distributary networks and their bifurcations","year":2008,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Coastal wetland ecosystem dynamics","field":"Environmental Science","cited_by":147,"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":"Bifurcation; Mechanics; Flow (mathematics); Stability (learning theory); Delta; Physics; Channel (broadcasting); Geology; Geometry; Mathematics; Engineering; Computer science","score_opus":0.03743511762544665,"score_gpt":0.2576064260817692,"score_spread":0.22017130845632255,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1579610342","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9968904,0.000058573314,0.00048552675,0.00019232382,0.0000135103555,0.00020420623,0.000045016077,0.000015849648,0.0020945966],"genre_scores_gemma":[0.99959904,0.000048522375,0.000033316497,0.000005453983,0.000020720661,0.000015847852,0.000040526524,0.0000092096925,0.00022737937],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986375,0.00019922809,0.00019412866,0.0002563039,0.00031619254,0.00039666612],"domain_scores_gemma":[0.99935406,0.00012886875,0.000019469557,0.000353029,0.00002337363,0.00012121211],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000852631,0.000083962805,0.00012996816,0.000041630145,0.00031686624,0.000019091593,0.0002554991,0.000053529795,0.00059391995],"category_scores_gemma":[0.000034817484,0.000051744923,0.00003188252,0.000228195,0.00061752147,0.00008671002,0.0008216909,0.00019888485,0.000050684455],"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":[0.00006138772,0.00011777087,0.9810424,0.000034798544,0.00001315145,0.000008087874,0.0070972163,0.0019390532,0.00630377,0.0000072922953,0.00048601342,0.0028890665],"study_design_scores_gemma":[0.0006766086,0.00037570848,0.746949,0.00004465103,0.000006950904,0.00011078855,0.0022671772,0.16969234,0.016208809,0.0009213054,0.062299144,0.00044752227],"about_ca_topic_score_codex":0.0024115024,"about_ca_topic_score_gemma":0.0013994931,"teacher_disagreement_score":0.2340934,"about_ca_system_score_codex":0.00007781118,"about_ca_system_score_gemma":0.0000041760254,"threshold_uncertainty_score":0.6503007},"labels":[],"label_agreement":null},{"id":"W1581421319","doi":"10.1029/2008wr007285","title":"Distributed topographic indicators for predicting nitrogen export from headwater catchments","year":2009,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Soil and Water Nutrient Dynamics","field":"Environmental Science","cited_by":58,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Ontario Forest Research Institute; Natural Resources Canada; Western University","funders":"","keywords":"Environmental science; Hydrology (agriculture); Nitrate; Nitrogen; Watershed; STREAMS; Physical geography; Geography; Geology; Ecology; Biology","score_opus":0.023674909508033845,"score_gpt":0.29111269614779284,"score_spread":0.267437786639759,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1581421319","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9971788,0.00002865366,0.00014731682,0.0008130553,0.00006172039,0.0005844476,0.00012824943,0.0000919683,0.0009657835],"genre_scores_gemma":[0.99841386,0.0000120754075,0.00024393493,0.00012414066,0.00014213125,0.0001055255,0.00061715057,0.00002376762,0.0003174268],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9968949,0.0001427979,0.0003268681,0.0006092714,0.00095295475,0.0010732381],"domain_scores_gemma":[0.99914426,0.00006856276,0.000040057217,0.00044095152,0.00002389456,0.00028226705],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00085695036,0.00019592141,0.00019928644,0.00021328038,0.0005132762,0.00014203088,0.0006401923,0.00013716977,0.00020259195],"category_scores_gemma":[0.000028903385,0.00013309946,0.00011318656,0.00045354405,0.00027151682,0.00018142072,0.00035157535,0.00031654575,0.00023381553],"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":[0.00012665868,0.00013628829,0.9908184,0.000005220145,0.000024042345,0.000014102851,0.0029055853,0.00005366153,0.0016066317,0.000003373417,0.001152617,0.003153456],"study_design_scores_gemma":[0.003027158,0.0012274416,0.5270046,0.00007825169,0.00005457707,0.000010672334,0.0011450669,0.0037920463,0.07962475,0.08778268,0.29528695,0.00096582127],"about_ca_topic_score_codex":0.00087694486,"about_ca_topic_score_gemma":0.0000140966,"teacher_disagreement_score":0.46381378,"about_ca_system_score_codex":0.0001648885,"about_ca_system_score_gemma":0.000004780743,"threshold_uncertainty_score":0.5427638},"labels":[],"label_agreement":null},{"id":"W1583949396","doi":"10.1029/2006wr005615","title":"Intercomparison of homogenization techniques for precipitation data","year":2008,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Drought Analysis","field":"Environmental Science","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":"Ministère des Transports; Environment and Climate Change Canada; Institut National de la Recherche Scientifique","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Homogeneity (statistics); Bivariate analysis; Homogenization (climate); Homogeneous; Precipitation; Environmental science; Regression; Series (stratigraphy); Computer science; Meteorology; Statistics; Climatology; Geology; Mathematics; Geography","score_opus":0.10991045119500968,"score_gpt":0.36740433703375724,"score_spread":0.25749388583874755,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1583949396","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9885437,0.000028413999,0.006023275,0.0002653103,0.000009663718,0.0002595155,0.0000110228775,0.000023123941,0.00483598],"genre_scores_gemma":[0.9954251,0.000021116819,0.0028652947,0.000013244776,0.00003440142,0.00003494251,0.00015538755,0.000007902792,0.0014426112],"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99883467,0.00017035316,0.00017702453,0.00026252348,0.0003260699,0.00022938834],"domain_scores_gemma":[0.99937737,0.00008333741,0.000026332329,0.00044293926,0.000033649303,0.00003639497],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010916293,0.000052851443,0.0001083169,0.000109928704,0.0002130737,0.00001005854,0.00054344547,0.00006557034,0.00047473115],"category_scores_gemma":[0.00009090256,0.000037313115,0.000028100363,0.00022569332,0.00036745955,0.00018895375,0.0004946447,0.00010223497,0.00012434111],"study_design_candidate":"bench_or_experimental","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":[0.00069892243,0.00061906147,0.64594156,0.000096145646,0.00014405175,0.000012272456,0.044464946,0.0018085031,0.20609303,0.000047919788,0.04740988,0.052663703],"study_design_scores_gemma":[0.00038438218,0.00047930414,0.011739402,0.00001765821,0.000030025534,0.000008999519,0.0004194328,0.04143524,0.5037041,0.0017544841,0.43981197,0.00021503108],"about_ca_topic_score_codex":0.000410212,"about_ca_topic_score_gemma":0.00012763403,"teacher_disagreement_score":0.6342022,"about_ca_system_score_codex":0.000030850264,"about_ca_system_score_gemma":0.0000030864985,"threshold_uncertainty_score":0.5197973},"labels":[],"label_agreement":null},{"id":"W1584061575","doi":"10.1029/2011wr011037","title":"Inverse modeling of hydraulic tests in fractured crystalline rock based on a transition probability geostatistical approach","year":2011,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Groundwater flow and contamination studies","field":"Environmental Science","cited_by":30,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal; Université Laval","funders":"","keywords":"Borehole; Geology; Bedrock; Facies; Fracture (geology); Groundwater flow; Hydraulic fracturing; Flow (mathematics); Hydraulic conductivity; Geotechnical engineering; Calibration; Groundwater; Petrology; Soil science; Geomorphology; Aquifer; Structural basin; Geometry; Statistics; Mathematics","score_opus":0.0802011860713487,"score_gpt":0.28433766307830904,"score_spread":0.20413647700696036,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1584061575","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9423944,0.0000046906853,0.05326301,0.00014909878,0.000005590071,0.0004018418,0.000007835492,0.000016262027,0.0037572745],"genre_scores_gemma":[0.9976837,9.901715e-7,0.0019028895,0.000065123284,0.000010281589,0.0000842179,0.000021034532,0.000011321666,0.00022045814],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9978085,0.00036035542,0.00028397093,0.0003860499,0.000749527,0.00041160692],"domain_scores_gemma":[0.99953747,0.00006648978,0.000018785611,0.00025433698,0.000040647956,0.00008224729],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011254422,0.00012078878,0.00017687916,0.00015508571,0.0001135904,0.000019501607,0.00021955633,0.00007525966,0.0005298086],"category_scores_gemma":[0.000057512363,0.00008254175,0.000040722665,0.00024231568,0.00019243182,0.00010390187,0.00012279637,0.00028832434,0.00008248792],"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":[0.0019084986,0.0034609048,0.04413534,0.00033897292,0.000031956275,0.000063198975,0.14065021,0.7862412,0.01512716,0.000052485197,0.00018497363,0.0078051295],"study_design_scores_gemma":[0.0006532698,0.0002644268,0.027041007,0.00002494191,0.0000046377754,8.7527405e-7,0.00050513167,0.96695745,0.0028270483,0.0010289821,0.0005615623,0.00013068877],"about_ca_topic_score_codex":0.0024519921,"about_ca_topic_score_gemma":0.00037444438,"teacher_disagreement_score":0.18071626,"about_ca_system_score_codex":0.00012294171,"about_ca_system_score_gemma":0.0000061343844,"threshold_uncertainty_score":0.5801032},"labels":[],"label_agreement":null},{"id":"W1585054387","doi":"10.1029/2006wr005496","title":"Simulation‐based optimization of dual‐phase vacuum extraction to remove nonaqueous phase liquids in subsurface","year":2008,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Groundwater flow and contamination studies","field":"Environmental Science","cited_by":33,"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; University of Regina","funders":"","keywords":"Process (computing); Volume (thermodynamics); Operating cost; Environmental remediation; Computer science; Environmental science; Process engineering; Engineering; Contamination; Waste management","score_opus":0.06436191725092892,"score_gpt":0.3709968062474851,"score_spread":0.30663488899655617,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1585054387","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9663129,0.000020584252,0.03188078,0.00045716585,0.000032521482,0.0004615448,0.000007689254,0.000027113703,0.000799694],"genre_scores_gemma":[0.99376523,0.0000073973342,0.0010992622,0.00005370055,0.000027418258,0.00004675089,0.00002530557,0.00001878343,0.0049561323],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9975555,0.00030610975,0.00036930232,0.00037855003,0.0009419066,0.000448634],"domain_scores_gemma":[0.9992096,0.00024575155,0.000040875835,0.000285561,0.0001011895,0.00011703564],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00089669594,0.00013391468,0.00018854204,0.0003252218,0.0002856416,0.000034212102,0.00019778851,0.00007514519,0.0009866137],"category_scores_gemma":[0.000116284675,0.00010681991,0.000044112083,0.0006462921,0.00021618781,0.00024498263,0.0002038609,0.00019285886,0.00026842742],"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":[0.00047298215,0.0006001972,0.003889362,0.00001193705,0.000006796098,0.00006088446,0.008969592,0.9116682,0.07140787,8.747093e-7,0.00011801408,0.0027933393],"study_design_scores_gemma":[0.005084439,0.0013499002,0.00729166,0.000044470544,0.00000884767,0.000008488454,0.0007914479,0.7502016,0.18647645,0.000017317354,0.04834766,0.00037775617],"about_ca_topic_score_codex":0.0007116164,"about_ca_topic_score_gemma":0.00011655462,"teacher_disagreement_score":0.1614666,"about_ca_system_score_codex":0.00023226361,"about_ca_system_score_gemma":0.000010532666,"threshold_uncertainty_score":0.9999266},"labels":[],"label_agreement":null},{"id":"W1585628654","doi":"10.1029/2005wr004622","title":"Modeling ice growth on Canadian lakes using artificial neural networks","year":2006,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":38,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Hydro-Québec; Institut National de la Recherche Scientifique","funders":"","keywords":"Snow; Mean squared error; Artificial neural network; Environmental science; Meteorology; Cloud cover; Degree day; Series (stratigraphy); Climatology; Statistics; Mathematics; Geology; Computer science; Geography; Cloud computing; Machine learning","score_opus":0.04974675631565054,"score_gpt":0.2648301232202175,"score_spread":0.21508336690456695,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1585628654","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9884867,0.000046018464,0.0005305333,0.00062817865,0.00014069257,0.00014744703,0.000021907861,0.000029669392,0.009968818],"genre_scores_gemma":[0.99846804,0.0000058220335,0.00012719225,0.00016804098,0.00079452625,9.1422794e-7,0.0001308788,0.000010603013,0.00029398594],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9973878,0.00023700576,0.00022595956,0.0003440995,0.0006070442,0.0011980914],"domain_scores_gemma":[0.99930245,0.00010348998,0.0000143840325,0.00019521684,0.00011266506,0.00027176886],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00086698355,0.00014874118,0.00014186362,0.00032284047,0.0010441868,0.00026730413,0.0003407307,0.00011141149,0.00060503505],"category_scores_gemma":[0.000026857953,0.00010387879,0.000055398494,0.00027783995,0.00017426905,0.00014287098,0.000028142005,0.0005714156,0.00018145257],"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":[0.00006613567,0.0000115253415,0.03206109,0.000009543129,0.0000069209623,0.00008552777,0.00042844441,0.9640863,0.000034862012,0.00018125167,0.000044292,0.002984111],"study_design_scores_gemma":[0.00006917293,0.000071747745,0.0024820839,0.000014799188,0.000004597724,0.000014622814,0.00035607556,0.9939437,0.000029856268,0.0017360729,0.0011227883,0.00015449023],"about_ca_topic_score_codex":0.6699157,"about_ca_topic_score_gemma":0.418071,"teacher_disagreement_score":0.25184467,"about_ca_system_score_codex":0.000034082423,"about_ca_system_score_gemma":0.000045696088,"threshold_uncertainty_score":0.8031146},"labels":[],"label_agreement":null},{"id":"W1586589205","doi":"10.1029/2010wr009492","title":"Groundwater residence time distributions in peatlands: Implications for peat decomposition and accumulation","year":2011,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Peatlands and Wetlands Ecology","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":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada; University of Toronto; McMaster University","keywords":"Peat; Environmental science; Groundwater; Soil science; Soil water; Carbon cycle; Hydrology (agriculture); Pore water pressure; Carbon fibers; Carbon dioxide; Residence time (fluid dynamics); Environmental chemistry; Geology; Chemistry; Ecology; Ecosystem; Materials science","score_opus":0.08305761069379895,"score_gpt":0.354866335157915,"score_spread":0.271808724464116,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1586589205","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99410856,0.000015953165,0.0005858036,0.0010087104,0.000009500652,0.00041437548,0.0000177171,0.000020862919,0.0038184917],"genre_scores_gemma":[0.99799556,0.000017943747,0.00040750424,0.000020008174,0.000031388652,0.00020581817,0.0002623556,0.000009586398,0.0010498251],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987215,0.00014707445,0.00018348635,0.00033424835,0.00014170927,0.00047198386],"domain_scores_gemma":[0.9995423,0.00011580875,0.00001825333,0.00020673922,0.000023886843,0.00009300008],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007750133,0.00008740571,0.00010797725,0.00011790778,0.0003633581,0.00006271055,0.00019673591,0.0000799899,0.00061799795],"category_scores_gemma":[0.000029579389,0.00006195488,0.000026385607,0.00015514268,0.00021649436,0.00020625371,0.00025119592,0.0001319511,0.0001546707],"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":[0.00021922943,0.00017877587,0.94007653,0.000014278363,0.000007842737,0.0000054084617,0.0055719125,0.000030585135,0.049694568,0.00020457181,0.0017207691,0.0022755028],"study_design_scores_gemma":[0.00042536343,0.00020221352,0.97771484,0.000011073727,0.0000047191756,0.000013953555,0.000045233137,0.0008061599,0.0026686117,0.009443113,0.008551189,0.00011351505],"about_ca_topic_score_codex":0.0008972489,"about_ca_topic_score_gemma":0.00067033037,"teacher_disagreement_score":0.047025956,"about_ca_system_score_codex":0.00011481174,"about_ca_system_score_gemma":0.0000031474333,"threshold_uncertainty_score":0.6766644},"labels":[],"label_agreement":null},{"id":"W1588289406","doi":"10.1002/2015wr016908","title":"The relative stability of salmon redds and unspawned streambeds","year":2015,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":34,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Flume; Entrainment (biomusicology); Sediment; Environmental science; Sedimentation; Hydrology (agriculture); Geology; Geotechnical engineering; Flow (mathematics); Geomorphology; Mechanics","score_opus":0.06540299232532032,"score_gpt":0.31065062424648593,"score_spread":0.2452476319211656,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1588289406","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9286576,0.00006419893,0.0000060145385,0.002506414,0.000019083449,0.00021848449,0.0000014522346,0.000010656656,0.068516076],"genre_scores_gemma":[0.9963448,0.00006749145,0.00006282259,0.000019979765,0.000010388862,0.000025123178,0.0000012494951,0.00000485729,0.0034632545],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984757,0.000413427,0.00013401514,0.00021059343,0.00042940734,0.00033691278],"domain_scores_gemma":[0.9993724,0.00025505596,0.000021324384,0.0002499843,0.000029751418,0.00007148449],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027981363,0.00006407824,0.000094295254,0.000029488387,0.0003969528,0.0000228817,0.00022891171,0.000042915064,0.00019103903],"category_scores_gemma":[0.00022779706,0.000032956188,0.000016141164,0.0001385159,0.0016546185,0.00010313087,0.0011042273,0.00018527354,0.00010942227],"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":[0.00034310232,0.00009831076,0.9456295,0.000021230928,0.00006328013,0.000010956609,0.02845669,0.000026150643,0.0010282403,0.0003978088,0.021681795,0.0022429351],"study_design_scores_gemma":[0.00085077074,0.0009005342,0.6167126,0.000016081945,0.000017905038,0.0000026368668,0.0104056895,0.00027528574,0.015599239,0.026756436,0.32826847,0.0001943621],"about_ca_topic_score_codex":0.0005505686,"about_ca_topic_score_gemma":0.0015259776,"teacher_disagreement_score":0.3289169,"about_ca_system_score_codex":0.00007010494,"about_ca_system_score_gemma":0.0000029359394,"threshold_uncertainty_score":0.6096511},"labels":[],"label_agreement":null},{"id":"W1589406566","doi":"10.1029/2008wr007046","title":"Viability of motes for hydrological measurement","year":2009,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Energy Efficient Wireless Sensor Networks","field":"Computer Science","cited_by":32,"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 British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Sampling (signal processing); Reliability (semiconductor); Wireless sensor network; Data collection; Resilience (materials science); Computer science; Real-time computing; Environmental science; Catchment hydrology; Power consumption; Reliability engineering; Embedded system; Hydrology (agriculture); Power (physics); Engineering; Telecommunications; Computer network; Statistics","score_opus":0.09503668333059814,"score_gpt":0.3250515480999594,"score_spread":0.23001486476936125,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1589406566","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9245246,0.00015200165,0.06931821,0.0032163528,0.000056381465,0.0004658147,0.0000011137083,0.000103238155,0.0021622758],"genre_scores_gemma":[0.9924763,0.000004569515,0.0072015515,0.00007190311,0.00008021743,0.000025013276,0.000001542369,0.0000063638417,0.00013255092],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99658024,0.00042016295,0.00030550463,0.000519071,0.0014086325,0.0007663657],"domain_scores_gemma":[0.9982228,0.00024375113,0.000033629876,0.0007937562,0.0005799458,0.00012611113],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004319442,0.00011879968,0.00021795127,0.00018813698,0.00019831768,0.00010235152,0.0013787757,0.00010707792,0.000013152456],"category_scores_gemma":[0.0002313507,0.00007537382,0.00010522494,0.00033354454,0.00019390733,0.00009559001,0.00031217243,0.00025303225,0.000015076919],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008213132,0.0031245693,0.0036399963,0.0002618956,0.00012596013,0.00004971664,0.014540081,0.21852355,0.5333574,0.037916932,0.002681916,0.18495668],"study_design_scores_gemma":[0.0010224221,0.0025953446,0.00556917,0.000063847954,0.00000564857,0.0000070344304,0.00005045678,0.37614074,0.52983105,0.020713326,0.06361564,0.00038533885],"about_ca_topic_score_codex":0.000025997173,"about_ca_topic_score_gemma":0.0000049584587,"teacher_disagreement_score":0.18457134,"about_ca_system_score_codex":0.00007804446,"about_ca_system_score_gemma":0.000016400203,"threshold_uncertainty_score":0.30736554},"labels":[],"label_agreement":null},{"id":"W1589963289","doi":"10.1029/2010wr010213","title":"Probing the integration of land use and watershed planning in a shifting governance regime","year":2011,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Water resources management and optimization","field":"Engineering","cited_by":47,"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; University of Guelph; Brock University","funders":"","keywords":"Watershed; Watershed management; Corporate governance; Environmental planning; Incentive; Water resources; Environmental resource management; Business; Land use; Land-use planning; Water resource management; Environmental science; Engineering; Civil engineering; Computer science; Economics; Ecology; Finance","score_opus":0.0828204485487431,"score_gpt":0.2670325534127716,"score_spread":0.1842121048640285,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1589963289","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9965492,0.0001366755,0.00025100468,0.000059290665,0.000017496051,0.00027613438,9.142852e-7,0.000045124747,0.002664167],"genre_scores_gemma":[0.99906564,0.000038987397,0.0003621,0.000005015964,0.000026393964,0.0000255456,0.0000061705296,0.000022813467,0.00044732253],"study_design_codex":"qualitative","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989262,0.00012001327,0.0002112759,0.00015607741,0.00025193705,0.00033445345],"domain_scores_gemma":[0.9996793,0.000050568728,0.000021665923,0.00018139071,0.000038075323,0.000028989572],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008304281,0.00009740157,0.0001142502,0.00017545877,0.000085390944,0.00012600597,0.00020274894,0.000048121678,0.000017982782],"category_scores_gemma":[0.000034659173,0.00005635552,0.000017314023,0.00020797308,0.000091012625,0.00028404023,0.0001472629,0.00025728325,0.000005224555],"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":[0.00038645644,0.000068181434,0.33612552,0.0006015988,0.000099566,0.000067455825,0.56121755,0.067918524,0.026149865,0.0003376383,0.00032402304,0.0067036194],"study_design_scores_gemma":[0.0020372875,0.00029406179,0.3507629,0.0013821293,0.000030703763,0.000012281066,0.006835113,0.44831243,0.17176494,0.0010408001,0.01677366,0.0007536905],"about_ca_topic_score_codex":0.0005888521,"about_ca_topic_score_gemma":0.000092217095,"teacher_disagreement_score":0.55438244,"about_ca_system_score_codex":0.000030295612,"about_ca_system_score_gemma":0.0000012777001,"threshold_uncertainty_score":0.22981115},"labels":[],"label_agreement":null},{"id":"W1590434993","doi":"10.1029/2011wr011227","title":"Using high‐resolution distributed temperature sensing to quantify spatial and temporal variability in vertical hyporheic flux","year":2012,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Soil and Water Nutrient Dynamics","field":"Environmental Science","cited_by":229,"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":"Nature Conservancy; National Science Foundation","keywords":"Environmental science; Spatial variability; Advection; Flux (metallurgy); Hyporheic zone; Temporal resolution; Image resolution; Remote sensing; Hydrology (agriculture); Soil science; Geology; Materials science; Computer science; Geotechnical engineering","score_opus":0.04561055955385333,"score_gpt":0.30896322293569284,"score_spread":0.2633526633818395,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1590434993","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99822366,0.000013098463,0.000693821,0.0005089042,0.000097001845,0.0003161968,0.00001652384,0.000027741693,0.000103064514],"genre_scores_gemma":[0.998821,0.0000014908026,0.00087917206,0.000032677286,0.00012437472,0.0000053953613,0.00006689715,0.00001802445,0.00005096951],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9968568,0.00073336205,0.00026097766,0.0004330774,0.0006888672,0.0010268843],"domain_scores_gemma":[0.99921715,0.00010987034,0.00001129432,0.00029519503,0.000023614732,0.0003428627],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027175373,0.00015673242,0.00018613787,0.00012683625,0.00029288777,0.000121876285,0.0001743239,0.00016500565,0.00007750368],"category_scores_gemma":[0.00017880116,0.00011229668,0.000028640117,0.00042356813,0.00033717937,0.00023381249,0.000745275,0.0004689948,0.00013341999],"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":[0.00016232928,0.00010961234,0.96743166,0.000015974301,0.0000043388914,0.000014214679,0.002331995,0.00054351776,0.028390583,0.0000112983,0.00007358917,0.00091089326],"study_design_scores_gemma":[0.00073612493,0.0001378226,0.905127,0.00005494266,0.000010645946,0.000034223678,0.0002914104,0.06378066,0.021270292,0.0016571068,0.006492833,0.00040694475],"about_ca_topic_score_codex":0.008227919,"about_ca_topic_score_gemma":0.00015929011,"teacher_disagreement_score":0.063237146,"about_ca_system_score_codex":0.0003951584,"about_ca_system_score_gemma":0.0000064507412,"threshold_uncertainty_score":0.99837637},"labels":[],"label_agreement":null},{"id":"W1590504435","doi":"10.1029/2003wr002410","title":"Modeling the effect of development on internal phosphorus load in nutrient‐poor lakes","year":2004,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Aquatic Ecosystems and Phytoplankton Dynamics","field":"Environmental Science","cited_by":50,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Environmental science; Phosphorus; Water quality; Nutrient; Hydrology (agriculture); Sediment; Anoxic waters; Ecology; Geology; Chemistry; Geotechnical engineering; Biology","score_opus":0.018467753710001162,"score_gpt":0.2732424291787828,"score_spread":0.25477467546878163,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1590504435","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9947528,0.000061568826,0.00015184683,0.00014224631,0.000035725567,0.0003636594,0.0000017323193,0.000007601961,0.004482819],"genre_scores_gemma":[0.99927425,0.000006591733,0.000047612644,0.0000148474855,0.000019831867,0.000049115424,0.0000023748048,0.000011588255,0.00057380577],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99787575,0.00020921821,0.00027782968,0.00024439406,0.0009599609,0.00043284235],"domain_scores_gemma":[0.9995256,0.00013829311,0.000022414677,0.00023892203,0.000011778936,0.00006296444],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022971001,0.000111462294,0.00015770984,0.00006451083,0.00014649406,0.000038717517,0.00047158633,0.000052649433,0.00016032485],"category_scores_gemma":[0.00005774948,0.00005586991,0.00003811195,0.00018052541,0.00013226602,0.000044610784,0.00031665873,0.00033231743,0.00043397988],"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":[0.0014155607,0.00030598565,0.2329642,0.00019016251,0.00004745878,0.00009638458,0.054545607,0.6875213,0.009008488,0.00021341894,0.00015771248,0.013533705],"study_design_scores_gemma":[0.0064936895,0.002899833,0.012115367,0.0012741988,0.0000125104425,0.000032601463,0.001962844,0.29962954,0.59046775,0.0023680215,0.08192569,0.0008179264],"about_ca_topic_score_codex":0.0037310333,"about_ca_topic_score_gemma":0.0018551745,"teacher_disagreement_score":0.5814593,"about_ca_system_score_codex":0.00044875417,"about_ca_system_score_gemma":0.000014576823,"threshold_uncertainty_score":0.56402314},"labels":[],"label_agreement":null},{"id":"W1592680453","doi":"10.1002/wrcr.20290","title":"Improved spatial prediction: A combinatorial approach","year":2013,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Meteorological Phenomena and Simulations","field":"Earth and Planetary Sciences","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Environmental science; Computer science","score_opus":0.050846372426409735,"score_gpt":0.26445725269698733,"score_spread":0.2136108802705776,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1592680453","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.922797,0.000057380425,0.00016665406,0.0003105556,0.00022618988,0.0005440507,0.000021569613,0.00006449349,0.07581208],"genre_scores_gemma":[0.99711066,0.0000034936027,0.00021963661,0.000044451834,0.00061752414,0.000022701077,0.00015801602,0.000004119672,0.0018193752],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9977768,0.00041832146,0.00021788683,0.00033331974,0.00060901715,0.0006446516],"domain_scores_gemma":[0.9991613,0.00016929056,0.00001625128,0.00026238596,0.00014166416,0.0002491208],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00089649943,0.00010563002,0.00014274196,0.00014552407,0.0005017477,0.00026905356,0.0003596217,0.00010885446,0.014555716],"category_scores_gemma":[0.00007117214,0.000059731028,0.000049168284,0.00020596379,0.00022869161,0.0001816849,0.000056712994,0.00039766924,0.0017511199],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009510015,0.0007406297,0.8046084,0.00019077433,0.00023423784,0.000029588993,0.01657865,0.015750531,0.010684637,0.0008721701,0.010876329,0.13848305],"study_design_scores_gemma":[0.0016172793,0.0013727375,0.38806292,0.000006550808,0.00000954822,0.000007928453,0.00057468103,0.47515956,0.00057196786,0.025060123,0.107205056,0.00035164127],"about_ca_topic_score_codex":0.007919503,"about_ca_topic_score_gemma":0.000068826805,"teacher_disagreement_score":0.45940903,"about_ca_system_score_codex":0.0000066610064,"about_ca_system_score_gemma":0.000011173281,"threshold_uncertainty_score":0.9990261},"labels":[],"label_agreement":null},{"id":"W1592988056","doi":"10.1029/2004wr003188","title":"Analysis of hydraulic and tracer response tests within moderately fractured rock based on a transition probability geostatistical approach","year":2004,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Groundwater flow and contamination studies","field":"Environmental Science","cited_by":42,"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":"Natural Sciences and Engineering Research Council of Canada; Korea Science and Engineering Foundation","keywords":"Borehole; Categorical variable; Hydraulic conductivity; Geology; Permeability (electromagnetism); Porosity; Markov chain; Geotechnical engineering; Hydraulic fracturing; Conditional probability; TRACER; Fracture (geology); Soil science; Statistics; Mathematics","score_opus":0.037313543553640804,"score_gpt":0.29457734993866425,"score_spread":0.25726380638502344,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1592988056","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.971382,0.000012118746,0.026853362,0.0010234013,0.0000046512614,0.00036010458,0.000021177466,0.000018986155,0.00032416926],"genre_scores_gemma":[0.9984973,8.371112e-7,0.0009538325,0.00010322614,0.000006702871,0.00007620987,0.000028064118,0.000010494927,0.0003233063],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9972612,0.000664661,0.0002751714,0.0004922817,0.00094802136,0.0003586478],"domain_scores_gemma":[0.9992989,0.00022459099,0.000029348184,0.00028136757,0.00005102232,0.00011482121],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019264533,0.00014161211,0.0002617933,0.0002862737,0.00027390983,0.000076064185,0.00015194417,0.00008345181,0.00017623763],"category_scores_gemma":[0.00010828353,0.0000925905,0.000065359636,0.0005886886,0.0003640434,0.00010400134,0.00008564727,0.00025520666,0.00003214182],"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":[0.005846883,0.0011327774,0.013121794,0.000082242914,0.00023020482,0.000030610343,0.0763748,0.8709504,0.028433079,0.000033580098,0.00003196359,0.0037316931],"study_design_scores_gemma":[0.001381322,0.0007297374,0.68315935,0.000020997144,0.0001382239,0.0000028449156,0.00066110055,0.2926685,0.019304292,0.00084543333,0.0008310558,0.00025712134],"about_ca_topic_score_codex":0.0008019986,"about_ca_topic_score_gemma":0.00019558036,"teacher_disagreement_score":0.67003757,"about_ca_system_score_codex":0.00015360925,"about_ca_system_score_gemma":0.000010755153,"threshold_uncertainty_score":0.37757307},"labels":[],"label_agreement":null},{"id":"W1593429003","doi":"10.1029/2011wr010429","title":"Capturing aquifer heterogeneity: Comparison of approaches through controlled sandbox experiments","year":2011,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Groundwater flow and contamination studies","field":"Environmental Science","cited_by":80,"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":"Natural Sciences and Engineering Research Council of Canada; Strategic Environmental Research and Development Program; National Science Foundation","keywords":"Hydraulic conductivity; Aquifer; Groundwater; Aquifer properties; Kriging; Groundwater model; Geostatistics; Geology; Soil science; Spatial heterogeneity; Hydrogeology; Groundwater flow; Computer science; Geotechnical engineering; Statistics; Spatial variability; Mathematics; Groundwater recharge","score_opus":0.2895628265478426,"score_gpt":0.3619082974753147,"score_spread":0.07234547092747212,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1593429003","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9753345,0.0003013725,0.00047964588,0.000057926205,0.00004011941,0.00041313158,0.0000016146688,0.00002449666,0.023347143],"genre_scores_gemma":[0.99676454,0.0000052630785,0.0002582317,0.000016879598,0.000028098788,0.00015134308,0.0000036915699,0.000017142398,0.0027548373],"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99749905,0.00033328249,0.00037441024,0.00037288136,0.0008682919,0.0005520675],"domain_scores_gemma":[0.9994616,0.00004862476,0.000051064486,0.00033303144,0.000029216586,0.0000764572],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007768983,0.000155313,0.0003820475,0.00007667729,0.0002988137,0.000044798566,0.00042277278,0.0000680003,0.0010248158],"category_scores_gemma":[0.00001674372,0.000096972166,0.000096907985,0.00012827762,0.00054405024,0.00017637703,0.00074733136,0.00018594481,0.00038669189],"study_design_candidate":"bench_or_experimental","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":[0.0012043824,0.0010370673,0.5251166,0.000057563473,0.00030621153,0.000016880875,0.37241283,0.000089495625,0.09066688,0.00011441297,0.0006991051,0.008278535],"study_design_scores_gemma":[0.0027036292,0.00028429282,0.028372731,0.00002184264,0.000019907808,0.0000025890859,0.009373559,0.00063852384,0.93166316,0.00024424982,0.026427407,0.0002480975],"about_ca_topic_score_codex":0.001372648,"about_ca_topic_score_gemma":0.00010620545,"teacher_disagreement_score":0.84099627,"about_ca_system_score_codex":0.000073856856,"about_ca_system_score_gemma":0.0000022928127,"threshold_uncertainty_score":0.99988836},"labels":[],"label_agreement":null},{"id":"W1594732581","doi":"10.1029/2000wr000140","title":"Hydraulic conditions in experimental rill confluences and scour in erodible soils","year":2002,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Sediment Transport Processes","field":"Environmental Science","cited_by":29,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"The Scarborough Hospital; University of Toronto","funders":"","keywords":"Confluence; Rill; Geology; Geotechnical engineering; Geometry; Geomorphology; Turbulence; Flow (mathematics); Hydraulic jump; Erosion; Hydrology (agriculture); Mechanics; Mathematics; Physics","score_opus":0.045492166448774164,"score_gpt":0.31195922411069643,"score_spread":0.26646705766192225,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1594732581","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9808506,0.0005496454,4.431589e-7,0.0010041338,0.000015212426,0.00020181088,0.0000019976035,0.000015759735,0.017360412],"genre_scores_gemma":[0.99803466,0.0000988711,0.000014173871,0.00014807092,0.000013995782,0.000073253585,0.0000055778687,0.0000082431825,0.0016031738],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99828863,0.00017130614,0.00019915766,0.0003737983,0.00039165033,0.0005754836],"domain_scores_gemma":[0.99968034,0.00006102452,0.000011279686,0.00013976703,0.000005088634,0.00010248639],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00064595236,0.00010337651,0.0001367013,0.00020046368,0.00019113216,0.000043841963,0.00023644978,0.00008903136,0.008939027],"category_scores_gemma":[0.000012377896,0.00007815727,0.000016055114,0.00028211743,0.00082845107,0.00026592813,0.00012712658,0.00031859986,0.0008026187],"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":[0.000072812494,0.00055169634,0.8985703,0.000032838074,0.000009055927,0.0002667581,0.034434907,0.002746633,0.061707936,0.0000340888,0.0009933173,0.00057965243],"study_design_scores_gemma":[0.004915722,0.0010674696,0.4688909,0.00019991936,0.000009271863,0.00007380493,0.005811915,0.012051488,0.3315687,0.0033234274,0.17103304,0.0010543375],"about_ca_topic_score_codex":0.0016696253,"about_ca_topic_score_gemma":0.0009512616,"teacher_disagreement_score":0.4296794,"about_ca_system_score_codex":0.000054416807,"about_ca_system_score_gemma":0.0000022076001,"threshold_uncertainty_score":0.9999754},"labels":[],"label_agreement":null},{"id":"W1594895195","doi":"10.1029/2008wr007207","title":"Forests and floods: A new paradigm sheds light on age‐old controversies","year":2009,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":193,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Pacific Institute for Climate Solutions; University of Victoria; BC Hydro (Canada); University of British Columbia","funders":"","keywords":"Analysis of covariance; Flood myth; Magnitude (astronomy); Variance (accounting); Perception; Geography; Covariance; Environmental science; Environmental resource management; Statistics; Mathematics; Psychology; Economics","score_opus":0.018757307159487927,"score_gpt":0.2751405496046401,"score_spread":0.25638324244515215,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1594895195","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9666806,0.00009939483,0.000005764038,0.0073021455,0.00004948643,0.00054284965,0.0000021402636,0.000062195846,0.025255462],"genre_scores_gemma":[0.98589116,0.000016512697,0.000038523653,0.00039627907,0.00016574342,0.000016691076,0.0000036475026,0.000020031212,0.013451424],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9970457,0.00035253377,0.00019477154,0.0005357857,0.0009935215,0.00087771844],"domain_scores_gemma":[0.9988507,0.0002777403,0.000023969345,0.00048433567,0.000006436426,0.00035680682],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0011469234,0.00018748232,0.00024097461,0.00014849273,0.00028990317,0.00026681638,0.00045247446,0.00011032765,0.00074809004],"category_scores_gemma":[0.00014215121,0.00012354717,0.000052999963,0.0002157733,0.00019772515,0.00019487062,0.0002554998,0.00037038367,0.0019007637],"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":[0.0027531495,0.0010678385,0.17040609,0.00023013134,0.00020291528,0.002477812,0.07686588,0.0009370287,0.19384827,0.0014570875,0.38838777,0.16136603],"study_design_scores_gemma":[0.0016302213,0.0020545693,0.11546852,0.00009923992,0.000009064342,0.000033297852,0.00013382632,0.001553863,0.028797751,0.0035520461,0.84626323,0.0004043587],"about_ca_topic_score_codex":0.0021473998,"about_ca_topic_score_gemma":0.0006236245,"teacher_disagreement_score":0.45787546,"about_ca_system_score_codex":0.00016311365,"about_ca_system_score_gemma":0.000004733531,"threshold_uncertainty_score":0.9988764},"labels":[],"label_agreement":null},{"id":"W1595872996","doi":"10.1002/wrcr.20201","title":"Physical dispersion and dilution of ballast water discharge in the St. Clair River: Implications for biological invasions","year":2013,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Marine Ecology and Invasive Species","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":false,"ca_institutions":"The Scarborough Hospital; Fisheries and Oceans Canada; University of Toronto","funders":"","keywords":"Ballast; Environmental science; Dispersion (optics); Water discharge; Hydrology (agriculture); Dilution; Mixing (physics); Geotechnical engineering; Geology; Oceanography; Physics; Optics","score_opus":0.07283251960855526,"score_gpt":0.3015929766197248,"score_spread":0.22876045701116954,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1595872996","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9888668,0.000005297775,0.0000112065,0.007935381,0.0000081062835,0.00062003883,0.000013106246,0.000005564586,0.0025345222],"genre_scores_gemma":[0.9988608,0.000026851823,0.000043164455,0.000059254697,0.000035708348,0.00025896917,0.00004797547,0.000004204355,0.0006630798],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99882895,0.00024147227,0.00012543083,0.00023780428,0.00016013981,0.00040622996],"domain_scores_gemma":[0.9995045,0.00021819405,0.000012153062,0.00019200283,0.00002074093,0.000052431766],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005990413,0.000071872986,0.00010172478,0.000052143572,0.00033438348,0.000029576897,0.00030888818,0.00006014638,0.0018750305],"category_scores_gemma":[0.00006424509,0.000029878309,0.000039104725,0.000095406074,0.001025981,0.00012783035,0.0005755774,0.00018581694,0.00024655313],"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":[0.00005283219,0.0003745006,0.6262172,0.000019235022,0.000008950839,5.253923e-7,0.012401065,0.000015239291,0.34737042,0.0015691704,0.009950111,0.002020733],"study_design_scores_gemma":[0.00024870853,0.00028513858,0.9263033,0.000005022357,0.0000024645096,0.0000024008564,0.0005820812,0.00025966414,0.010439356,0.00947479,0.052320175,0.00007689934],"about_ca_topic_score_codex":0.00052082504,"about_ca_topic_score_gemma":0.0002365112,"teacher_disagreement_score":0.33693108,"about_ca_system_score_codex":0.00003718501,"about_ca_system_score_gemma":0.0000016835277,"threshold_uncertainty_score":0.9990374},"labels":[],"label_agreement":null},{"id":"W1596454139","doi":"10.1029/2007wr005970","title":"On the appropriate “equivalent aperture” for the description of solute transport in single fractures: Laboratory‐scale experiments","year":2008,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Groundwater flow and contamination studies","field":"Environmental Science","cited_by":29,"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":"Aperture (computer memory); Advection; Mechanics; Scale (ratio); Fracture (geology); Work (physics); Variable (mathematics); Dispersion (optics); Geology; Optics; Materials science; Mathematics; Physics; Geotechnical engineering; Mathematical analysis; Acoustics; Thermodynamics","score_opus":0.08491303790747677,"score_gpt":0.30383815087772226,"score_spread":0.21892511297024547,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1596454139","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99602467,0.0001241484,0.0009169619,0.0014954178,0.00004134214,0.00064758083,0.000009640721,0.00001003332,0.0007301884],"genre_scores_gemma":[0.9954249,0.000027898164,0.00003843968,0.00020679946,0.000029269266,0.00030467493,0.0000052891987,0.000013609798,0.003949068],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.99814606,0.00020489804,0.00021793116,0.0002559211,0.0007717215,0.00040345514],"domain_scores_gemma":[0.99929744,0.00029907818,0.000029357061,0.00029856252,0.000038671442,0.000036877755],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001057307,0.000111517846,0.00012842396,0.00006085915,0.00052938296,0.000026758604,0.00040597885,0.00005253466,0.0002726067],"category_scores_gemma":[0.00003962663,0.0000494097,0.0000585382,0.00019324714,0.0005085274,0.00009645386,0.00012584875,0.00020111386,0.00007229717],"study_design_candidate":"bench_or_experimental","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":[0.0009401325,0.0010678929,0.059099596,0.000054282194,0.0000930517,0.00001917056,0.20242432,0.0011112359,0.7243478,0.00006874324,0.005389511,0.0053842724],"study_design_scores_gemma":[0.001479556,0.0006811307,0.18958868,0.00006084643,0.000013468869,0.0000032863513,0.007194323,0.0010472958,0.35148042,0.00047150886,0.4476722,0.00030727175],"about_ca_topic_score_codex":0.00044113523,"about_ca_topic_score_gemma":0.00024076819,"teacher_disagreement_score":0.44228268,"about_ca_system_score_codex":0.000114372204,"about_ca_system_score_gemma":0.0000047228727,"threshold_uncertainty_score":0.40716392},"labels":[],"label_agreement":null},{"id":"W1596618583","doi":"10.1029/2005wr004264","title":"Multicriterion decision analysis approach to assess the utility of watershed modeling for management decisions","year":2006,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":19,"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","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Watershed; Multiple-criteria decision analysis; Context (archaeology); Decision analysis; Operations research; Computer science; Set (abstract data type); Rank (graph theory); Mathematics; Statistics; Geography; Machine learning","score_opus":0.11125402361861383,"score_gpt":0.35023406126907963,"score_spread":0.2389800376504658,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1596618583","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.82537436,0.000013515865,0.1621419,0.0005616031,0.000020886302,0.00093432615,0.0000066501952,0.000018690804,0.010928028],"genre_scores_gemma":[0.98840266,0.000011518245,0.009833914,0.000050556762,0.000023401004,0.00026568584,0.000032206768,0.00001262616,0.0013674311],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99724966,0.00028036593,0.00038938908,0.0005776682,0.0008322302,0.00067067315],"domain_scores_gemma":[0.9989685,0.00024826668,0.000025743353,0.0006397517,0.000048451766,0.00006928206],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0034986816,0.00014918813,0.00025704212,0.00036783464,0.00073687505,0.000074952986,0.00076901336,0.00006267349,0.00017363254],"category_scores_gemma":[0.00005038162,0.00007855593,0.00016451423,0.0007769045,0.00028716988,0.000093460716,0.0015466497,0.00014529903,0.00009025178],"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":[0.0012652117,0.0009358638,0.053684138,0.000097753014,0.000811096,0.000010335851,0.010243195,0.90345746,0.004888134,0.00019926442,0.011381829,0.013025745],"study_design_scores_gemma":[0.0007027449,0.00011054408,0.044849597,0.000018748771,0.0002794584,6.557213e-7,0.0015912728,0.901676,0.0037208085,0.006282673,0.040510718,0.00025679142],"about_ca_topic_score_codex":0.000978173,"about_ca_topic_score_gemma":0.00017455814,"teacher_disagreement_score":0.16302827,"about_ca_system_score_codex":0.000056509376,"about_ca_system_score_gemma":8.8007505e-7,"threshold_uncertainty_score":0.56675214},"labels":[],"label_agreement":null},{"id":"W1596658374","doi":"10.1029/2007wr006337","title":"Numerical analysis of buoyancy effects during the dissolution and transport of oxygenated gasoline in groundwater","year":2008,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Groundwater flow and contamination 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":"D2L (Canada); Huntington Society of Canada; Polytechnique Montréal; University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Gasoline; Buoyancy; Aquifer; Dissolution; Groundwater; Plume; Groundwater flow; Environmental science; Geology; Environmental chemistry; Chemistry; Geotechnical engineering; Mechanics; Thermodynamics","score_opus":0.018990615373196715,"score_gpt":0.26653556275826457,"score_spread":0.24754494738506785,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1596658374","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99921376,0.0000875324,0.00017080686,0.00013361876,0.00000767453,0.00017595051,0.0000018483812,0.000006311993,0.00020251937],"genre_scores_gemma":[0.998154,0.000035889338,0.000014818452,0.000005328088,0.0000071053787,0.000027094084,0.0000068474797,0.0000063612383,0.0017425611],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99839765,0.00022828534,0.00026693792,0.00022456275,0.00056257716,0.00031997837],"domain_scores_gemma":[0.9996441,0.00007668331,0.000028462322,0.0001826935,0.000027052902,0.00004100253],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00058133446,0.00008619644,0.00024071829,0.00023901917,0.00018830891,0.0000068112595,0.00017887205,0.000038458755,0.00014008605],"category_scores_gemma":[0.000013908768,0.000046756704,0.00006139519,0.0008236332,0.0005361358,0.00008475929,0.00014547052,0.00014323207,0.000009927525],"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":[0.00009532912,0.00011437018,0.91779923,0.00004839263,0.000098478005,0.00002200996,0.022389228,0.00081745937,0.05799419,0.000001978774,0.0000038528015,0.00061549316],"study_design_scores_gemma":[0.00030614447,0.00006778963,0.9689296,0.000008793361,0.000030394993,0.0000034858267,0.00016619673,0.0011963809,0.028736556,0.000008276454,0.0004892541,0.00005712909],"about_ca_topic_score_codex":0.0035721608,"about_ca_topic_score_gemma":0.00049217715,"teacher_disagreement_score":0.05113038,"about_ca_system_score_codex":0.00006563481,"about_ca_system_score_gemma":0.0000022563647,"threshold_uncertainty_score":0.5400062},"labels":[],"label_agreement":null},{"id":"W1596895821","doi":"10.1029/2007wr006312","title":"On nonclassical analytical solutions for advective transport problems","year":2008,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Groundwater flow and contamination 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":"McGill University","funders":"Max-Planck-Gesellschaft","keywords":"Advection; Porous medium; Mechanics; Boundary value problem; Attenuation; Flow (mathematics); Fluid dynamics; Benchmarking; Environmental science; Physics; Mathematics; Geotechnical engineering; Porosity; Geology; Thermodynamics; Mathematical analysis","score_opus":0.09078005110825306,"score_gpt":0.31751657005828116,"score_spread":0.2267365189500281,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1596895821","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97930324,0.000010042962,0.0045714686,0.0017684399,0.000029636543,0.0005173713,0.000010792677,0.000038083057,0.01375093],"genre_scores_gemma":[0.9590516,0.000005741934,0.000051209452,0.00006399872,0.000057667923,0.00028743877,0.000012825848,0.000014222059,0.040455285],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99772966,0.00011452174,0.0001766703,0.00039811688,0.0007866953,0.0007943079],"domain_scores_gemma":[0.9994532,0.00015745802,0.00001074953,0.00020119523,0.000047856847,0.00012955848],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007490454,0.00011447106,0.00014940328,0.00010157042,0.0011335743,0.000021916108,0.0002448361,0.00006385694,0.00055801106],"category_scores_gemma":[0.00003522761,0.000073138326,0.00009303968,0.00020622855,0.00077394996,0.00009975821,0.00017405236,0.00024961177,0.00093029597],"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":[0.0037104338,0.007723031,0.306734,0.000305715,0.0009400821,0.0006411408,0.30089638,0.023978524,0.055783384,0.014131378,0.1808356,0.10432034],"study_design_scores_gemma":[0.0013200312,0.0010920048,0.13965523,0.000022312903,0.000017620418,0.000022128219,0.0005907335,0.008180438,0.0037734697,0.0016895789,0.84328383,0.00035262917],"about_ca_topic_score_codex":0.00020365059,"about_ca_topic_score_gemma":0.00014048452,"teacher_disagreement_score":0.6624482,"about_ca_system_score_codex":0.00018095617,"about_ca_system_score_gemma":0.0000066616817,"threshold_uncertainty_score":0.9998476},"labels":[],"label_agreement":null},{"id":"W1597050087","doi":"10.1002/wrcr.20332","title":"Transient, spatially varied groundwater recharge modeling","year":2013,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Groundwater flow and contamination studies","field":"Environmental Science","cited_by":57,"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","funders":"Canadian Water Network","keywords":"Groundwater recharge; Watershed; Hydrology (agriculture); Environmental science; Groundwater; Spatial variability; Groundwater model; Soil science; Geology; Geotechnical engineering; Aquifer; Computer science","score_opus":0.054530583066957995,"score_gpt":0.2862025154475761,"score_spread":0.2316719323806181,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1597050087","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97116154,0.0000228768,0.008648137,0.0012179139,0.00007373498,0.00048667003,0.0000013735416,0.000074668715,0.018313067],"genre_scores_gemma":[0.9541091,0.000009707463,0.00024648136,0.00013679969,0.00008272931,0.00023713168,0.000013191505,0.000029412546,0.0451355],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.9967538,0.00031677517,0.00031596128,0.00053879875,0.0011077591,0.00096689636],"domain_scores_gemma":[0.9992821,0.000046284877,0.000016463782,0.00038845872,0.00009206497,0.00017461187],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0012117694,0.00018353529,0.00018086817,0.00014096571,0.00062707573,0.0004071109,0.0005342962,0.00009698995,0.011783183],"category_scores_gemma":[0.000020533806,0.000117009426,0.00007383086,0.00022689012,0.00029007666,0.00052852306,0.0005603959,0.00035876394,0.013542498],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00035719524,0.0012511913,0.117447264,0.00016722927,0.00028096183,0.000117559095,0.1507521,0.016552018,0.5125302,0.00024971497,0.015110985,0.18518357],"study_design_scores_gemma":[0.002121956,0.00062189315,0.03849726,0.000050947092,0.000024108725,0.000024857036,0.0017865464,0.15077534,0.044643916,0.0039389124,0.75628823,0.0012260309],"about_ca_topic_score_codex":0.0072499868,"about_ca_topic_score_gemma":0.00025961126,"teacher_disagreement_score":0.74117726,"about_ca_system_score_codex":0.00015505172,"about_ca_system_score_gemma":0.0000035719975,"threshold_uncertainty_score":0.9993608},"labels":[],"label_agreement":null},{"id":"W1597114888","doi":"10.1029/2008wr007301","title":"Evaluating uncertainty in integrated environmental models: A review of concepts and tools","year":2009,"lang":"en","type":"review","venue":"Water Resources Research","topic":"Groundwater flow and contamination studies","field":"Environmental Science","cited_by":292,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Interoperability; Glossary; Context (archaeology); Software; Data science; Software engineering; Thematic map; Management science; Systems engineering; World Wide Web; Engineering","score_opus":0.20709574366298106,"score_gpt":0.43311319189001224,"score_spread":0.22601744822703118,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1597114888","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0064537213,0.99071324,0.000008592818,0.00005368076,0.000013277292,0.0013194557,0.000029413419,0.000011163074,0.0013974396],"genre_scores_gemma":[0.0016838366,0.99552095,0.00007019903,0.00004965381,0.00001843596,0.00024065416,0.00012491386,0.00002465264,0.002266711],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9951227,0.0015761933,0.00085409643,0.0006574451,0.0011937801,0.00059579464],"domain_scores_gemma":[0.99908566,0.00027525963,0.00013007896,0.00039044724,0.000021386146,0.00009714204],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003730892,0.0003375151,0.0012724778,0.00021107093,0.000143259,0.00008343709,0.0005126706,0.00016205202,0.00077758636],"category_scores_gemma":[0.000104468156,0.00020471653,0.0001614698,0.00038569525,0.00061940355,0.00025549886,0.000864417,0.0006565779,0.00015667592],"study_design_candidate":"design_other","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":[0.000006944942,0.000048243273,0.000020685291,0.007711877,0.00002213251,0.000010822329,0.0013940484,0.000029645751,0.000019232592,0.0000027083029,0.00012022401,0.99061346],"study_design_scores_gemma":[0.00021239588,0.00017404616,0.000039691702,0.032605287,0.00006154706,0.0000121576795,0.00031768586,0.00043680202,0.000007888108,0.000066567394,0.9658131,0.00025282544],"about_ca_topic_score_codex":0.00043295318,"about_ca_topic_score_gemma":0.00005112293,"teacher_disagreement_score":0.9903606,"about_ca_system_score_codex":0.0004795973,"about_ca_system_score_gemma":0.00001987496,"threshold_uncertainty_score":0.8514026},"labels":[],"label_agreement":null},{"id":"W1598588962","doi":"10.1029/2009wr007800","title":"Analytic elements for flow in harmonically heterogeneous aquifers","year":2009,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Groundwater flow and contamination studies","field":"Environmental Science","cited_by":12,"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":"Natural Sciences and Engineering Research Council of Canada","keywords":"Discretization; Piecewise; Hydraulic conductivity; Groundwater flow; Aquifer; Flow (mathematics); Representation (politics); Conductivity; Groundwater; Transformation (genetics); Variable (mathematics); Boundary (topology); Constant (computer programming); Applied mathematics; Mathematical optimization; Mathematical analysis; Computer science; Mathematics; Geology; Geotechnical engineering; Soil science; Geometry; Physics","score_opus":0.04979409778480745,"score_gpt":0.33083045880962736,"score_spread":0.2810363610248199,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1598588962","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9955376,0.00004092783,0.00051890034,0.0016668801,0.00002247018,0.00043871388,0.0000036380604,0.000020603837,0.0017502574],"genre_scores_gemma":[0.9902632,0.000010539239,0.00043730412,0.00023587309,0.000033725413,0.0000866492,0.000010819962,0.000010014494,0.008911866],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9978177,0.00013635647,0.00027174054,0.00038853064,0.00064102275,0.00074467034],"domain_scores_gemma":[0.9995702,0.000054960026,0.000015805883,0.00023440203,0.00002645959,0.00009815936],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001154428,0.00011491028,0.00015611593,0.00014291424,0.00023611075,0.00010145507,0.00037406836,0.000049111863,0.0005015755],"category_scores_gemma":[0.000036304853,0.000080184705,0.000062832536,0.00022111101,0.00013969187,0.00010383442,0.00022487855,0.0001593189,0.00046400708],"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":[0.00094478304,0.0010388028,0.19066416,0.000059833088,0.00012293784,0.00021874005,0.025663365,0.00852392,0.104504004,0.000038031903,0.009923998,0.6582974],"study_design_scores_gemma":[0.0031114547,0.0014868696,0.14484584,0.000041017356,0.000017938575,0.000011557126,0.0007190661,0.03434615,0.039151195,0.0019801643,0.77366865,0.0006201121],"about_ca_topic_score_codex":0.00014140135,"about_ca_topic_score_gemma":0.00026205275,"teacher_disagreement_score":0.76374465,"about_ca_system_score_codex":0.00021009284,"about_ca_system_score_gemma":0.0000032277119,"threshold_uncertainty_score":0.5964027},"labels":[],"label_agreement":null},{"id":"W1599308559","doi":"10.1029/2012wr012755","title":"A stochastic reconstruction framework for analysis of water resource system vulnerability to climate‐induced changes in river flow regime","year":2012,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":93,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Global Institute for Water Security; University of Saskatchewan","funders":"","keywords":"Climate change; Vulnerability (computing); Environmental science; Resource (disambiguation); Flow (mathematics); Key (lock); Climate system; Water resources; Water resource management; Hydrology (agriculture); Environmental resource management; Geology; Computer science; Ecology; Mechanics; Oceanography; Physics; Geotechnical engineering","score_opus":0.05555719254994009,"score_gpt":0.3240018092713419,"score_spread":0.26844461672140185,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1599308559","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99563324,0.00001604078,0.0012312924,0.0012586334,0.00008397,0.00090918934,0.000015256694,0.00003614569,0.0008162514],"genre_scores_gemma":[0.9980933,0.0000025638326,0.0010965689,0.000057309793,0.0000854733,0.00035796798,0.000018767472,0.000018832448,0.00026920906],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99666005,0.00061487936,0.0003622202,0.00053284114,0.00053603883,0.0012939682],"domain_scores_gemma":[0.9989696,0.000265749,0.000041863168,0.0005265416,0.00003340084,0.0001628559],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004908634,0.00018205451,0.00044677948,0.0007146577,0.00038375374,0.000028292421,0.000372148,0.00017361974,0.00038436457],"category_scores_gemma":[0.00013483038,0.00011498953,0.00010692851,0.00079481467,0.00040157765,0.0001393633,0.00086103455,0.0003156536,0.00024805317],"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":[0.0033045853,0.00073972455,0.58793324,0.0008760957,0.001664888,0.000015321883,0.25971833,0.088177264,0.039797056,0.00041302512,0.0007009432,0.01665953],"study_design_scores_gemma":[0.0050682854,0.0036044982,0.54498464,0.0010838868,0.0025708948,0.000032707936,0.04503872,0.08760878,0.2394829,0.0052913,0.061657324,0.0035760857],"about_ca_topic_score_codex":0.00056513684,"about_ca_topic_score_gemma":0.0003977686,"teacher_disagreement_score":0.2146796,"about_ca_system_score_codex":0.00028742544,"about_ca_system_score_gemma":0.0000012148649,"threshold_uncertainty_score":0.4689137},"labels":[],"label_agreement":null},{"id":"W1599755550","doi":"10.1029/2005wr004619","title":"Stochastic optimization of multireservoir operation: The optimal reservoir trajectory approach","year":2007,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Water resources management and optimization","field":"Engineering","cited_by":44,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Spillage; Trajectory; Mathematical optimization; Stochastic programming; Dynamic programming; Series (stratigraphy); Computer science; Control theory (sociology); Petroleum engineering; Engineering; Mathematics; Geology","score_opus":0.038193837702120904,"score_gpt":0.27335268948308683,"score_spread":0.23515885178096593,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1599755550","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6503597,0.0003431458,0.33293304,0.00017560096,0.00011517102,0.0010242513,0.0000054936972,0.00023934158,0.014804268],"genre_scores_gemma":[0.991421,0.000024283177,0.0061404193,0.000011528953,0.00026349738,0.00006402639,0.00009490873,0.00007439494,0.0019059784],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9971976,0.00022377948,0.0004862888,0.0003146889,0.0010015691,0.0007760195],"domain_scores_gemma":[0.99891376,0.00014680142,0.00003201664,0.000572376,0.00021991157,0.000115109084],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029571399,0.00021348256,0.00021445526,0.0005310195,0.00038256063,0.00019267862,0.0007913914,0.00013479116,0.00016440617],"category_scores_gemma":[0.000050423347,0.0001336391,0.0000812232,0.00058598496,0.00028708673,0.0002567625,0.00027094877,0.00048538376,0.00004011128],"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":[0.00009730199,0.00005014352,0.000085337255,0.00011554283,0.00005143519,0.0000037339114,0.008466371,0.98899686,0.0011795663,0.000032830398,0.00057212677,0.00034877137],"study_design_scores_gemma":[0.0004886987,0.00008151204,0.00031346874,0.000026287771,0.000013791537,0.0000034878196,0.0015942503,0.9828346,0.00667345,0.000012341594,0.0077632307,0.00019491311],"about_ca_topic_score_codex":0.00007340406,"about_ca_topic_score_gemma":0.00002072372,"teacher_disagreement_score":0.34106126,"about_ca_system_score_codex":0.000096321586,"about_ca_system_score_gemma":0.0000074998648,"threshold_uncertainty_score":0.54496443},"labels":[],"label_agreement":null},{"id":"W1600845816","doi":"10.1002/2015wr017189","title":"Gas pressure gradients in unsaturated porous media and the assumption of infinite gas mobility","year":2015,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Groundwater flow and contamination 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 Toronto","funders":"National Science Foundation","keywords":"Saturation (graph theory); Porous medium; Mechanics; Inlet; Outflow; Pressure gradient; Work (physics); Viscous fingering; Wet gas; Flow (mathematics); Drainage; Volumetric flow rate; Porosity; Geology; Thermodynamics; Geotechnical engineering; Petroleum engineering; Physics; Geomorphology","score_opus":0.04819621947666327,"score_gpt":0.29121098000057644,"score_spread":0.24301476052391316,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1600845816","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9970859,0.000235331,0.000008005781,0.00088379637,0.00003211601,0.0003339985,0.0000040838313,0.000010474807,0.001406292],"genre_scores_gemma":[0.9979019,0.00004030757,0.000013138371,0.000018056855,0.000017319935,0.000048756414,0.0000079297915,0.0000064919955,0.0019460724],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9976699,0.00069874106,0.00023232977,0.00025429745,0.0008043183,0.00034041947],"domain_scores_gemma":[0.99941295,0.00016805663,0.00003101866,0.0002409095,0.00006344219,0.00008360822],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0031388816,0.0000926462,0.00016880863,0.00009141252,0.00011724318,0.000053840016,0.00025347655,0.000055794393,0.00010123286],"category_scores_gemma":[0.00016525203,0.000048070513,0.000020834259,0.00025814396,0.0010134119,0.00014366419,0.0005210271,0.00024027553,0.000078272074],"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":[0.0012416876,0.00027231677,0.77631354,0.00006466106,0.00005988602,0.000021014708,0.18488589,0.0005488051,0.0052369493,0.00008800681,0.001050357,0.030216878],"study_design_scores_gemma":[0.005412461,0.00025084006,0.8726761,0.000049014743,0.000026048629,0.000012104134,0.006237719,0.003673119,0.0093348455,0.004598795,0.097455725,0.00027328075],"about_ca_topic_score_codex":0.0042032814,"about_ca_topic_score_gemma":0.0012868312,"teacher_disagreement_score":0.17864817,"about_ca_system_score_codex":0.000059656064,"about_ca_system_score_gemma":0.0000040108976,"threshold_uncertainty_score":0.63541317},"labels":[],"label_agreement":null},{"id":"W1601154942","doi":"10.1002/2013wr013673","title":"Electrical imaging and fluid modeling of convective fingering in a shallow water-table aquifer","year":2014,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Geophysical and Geoelectrical Methods","field":"Earth and Planetary Sciences","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Golder Associates (Canada)","funders":"U.S. Geological Survey; University of Auckland; National Science Foundation","keywords":"Geology; Aquifer; Convection; Geophysics; Mechanics; Convective mixing; Convection cell; Groundwater; Water table; Infiltration (HVAC); Natural convection; Combined forced and natural convection; Meteorology; Geotechnical engineering; Physics","score_opus":0.03177306296329101,"score_gpt":0.28334322371206133,"score_spread":0.2515701607487703,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1601154942","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99511856,0.00031632738,0.00058254023,0.00031003667,0.00002146117,0.0001452311,0.0000018407334,0.000017198967,0.003486783],"genre_scores_gemma":[0.999186,0.000017513205,0.0004340425,0.000036079437,0.0000857289,0.000003935499,0.000007954675,0.0000058454607,0.00022294106],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99732316,0.0006151988,0.00025730077,0.00039288693,0.00048552497,0.0009259439],"domain_scores_gemma":[0.99917924,0.00039580997,0.00001247426,0.00015848812,0.000092850525,0.00016116201],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021472008,0.00012547032,0.0002790882,0.00032306436,0.00016131607,0.00008916925,0.0002436614,0.000060845938,0.00022735345],"category_scores_gemma":[0.00018793331,0.000072250055,0.00003816622,0.0003897903,0.00013538958,0.0001371375,0.00008819192,0.00046510436,0.00006854359],"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":[0.0009536456,0.000189791,0.32470354,0.00029592315,0.000051459636,0.00006207293,0.013408995,0.048020795,0.1146083,0.00012896647,0.000037015947,0.4975395],"study_design_scores_gemma":[0.00032559558,0.0002467869,0.019575683,0.000029356535,0.0000031623526,0.0000054133457,0.00009592956,0.94643044,0.024658455,0.007128652,0.001354839,0.00014565894],"about_ca_topic_score_codex":0.0062482622,"about_ca_topic_score_gemma":0.000214642,"teacher_disagreement_score":0.89840966,"about_ca_system_score_codex":0.00000776715,"about_ca_system_score_gemma":0.000009610569,"threshold_uncertainty_score":0.9445545},"labels":[],"label_agreement":null},{"id":"W1601607554","doi":"10.1029/2003wr002759","title":"Catchment‐scale mapping of surface grain size in gravel bed rivers using airborne digital imagery","year":2004,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Soil erosion and sediment transport","field":"Agricultural and Biological Sciences","cited_by":221,"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":"Semivariance; Remote sensing; Grain size; Image resolution; Texture (cosmology); Image texture; Scale (ratio); Digital image processing; Digital image; Digital elevation model; Image processing; Geology; Artificial intelligence; Geography; Image (mathematics); Computer science; Spatial variability; Mathematics; Statistics; Cartography; Geomorphology","score_opus":0.057211749620954065,"score_gpt":0.28039578962171346,"score_spread":0.2231840400007594,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1601607554","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9981809,0.000045220353,0.00000206264,0.0008974748,0.000031452048,0.00022308624,0.000027527096,0.000025994104,0.00056625967],"genre_scores_gemma":[0.999308,0.000015986558,0.000119170094,0.0000321728,0.000041192652,0.0000037552395,0.00003518197,0.0000019643408,0.0004425872],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99802434,0.000096430114,0.00029017724,0.0003250481,0.0006771237,0.0005869014],"domain_scores_gemma":[0.9995559,0.00012347694,0.00002941069,0.00008027007,0.00008377327,0.0001271741],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00071243773,0.00012351842,0.00020413715,0.000050450868,0.0001639135,0.00008268517,0.00032790922,0.00008456519,0.00015304747],"category_scores_gemma":[0.00002713869,0.000047808535,0.00009175108,0.00055512146,0.00026187694,0.00015410411,0.00012653536,0.00024173492,0.00003179969],"study_design_candidate":"bench_or_experimental","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":[0.00008512252,0.00018946703,0.094869144,0.000019014427,0.000008140833,0.000034327022,0.0043276176,0.0002543897,0.89814717,0.000004786894,0.000023242563,0.0020376076],"study_design_scores_gemma":[0.0018277589,0.00042132524,0.5532327,0.00029664696,0.000006861324,0.000009542664,0.010914989,0.00020064176,0.42284757,0.0015243955,0.008197692,0.0005198602],"about_ca_topic_score_codex":0.004247339,"about_ca_topic_score_gemma":0.00031927528,"teacher_disagreement_score":0.47529957,"about_ca_system_score_codex":0.00007758719,"about_ca_system_score_gemma":0.000009723177,"threshold_uncertainty_score":0.64207345},"labels":[],"label_agreement":null},{"id":"W1602982496","doi":"10.1029/2002wr001685","title":"Comparison of two fitting methods for the log‐logistic distribution","year":2003,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Drought Analysis","field":"Environmental Science","cited_by":35,"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","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Quantile; Estimator; Statistics; Mathematics; Log-logistic distribution; Logistic distribution; Distribution (mathematics); Maximum likelihood; Probability distribution; Logistic regression; Distribution fitting; Mathematical analysis","score_opus":0.1457735686056568,"score_gpt":0.4815888922872537,"score_spread":0.33581532368159694,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1602982496","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8392813,0.00026731324,0.15331107,0.00064005237,0.00003825317,0.0003335785,0.0000070456795,0.000013895669,0.0061074686],"genre_scores_gemma":[0.9954303,0.0000044258454,0.003305988,0.000017205184,0.0000219048,0.000045399658,0.000014986277,0.0000059699864,0.0011538337],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9978054,0.0010296053,0.00022495369,0.00022210908,0.00028334805,0.00043455441],"domain_scores_gemma":[0.99841845,0.0011830938,0.000037869573,0.0002859196,0.000025171119,0.00004949061],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.005557886,0.00006987913,0.00016257311,0.000032078755,0.000515043,0.000026178239,0.0003333787,0.000059086236,0.0010624158],"category_scores_gemma":[0.0006367342,0.00003711939,0.00007798844,0.0002642417,0.0006796162,0.00003951509,0.00016821892,0.00023495486,0.00012079366],"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":[0.000347283,0.0005793444,0.66322595,0.00009250741,0.00029969608,0.0000060460516,0.019489048,0.072731376,0.1510766,0.003945337,0.007924278,0.08028254],"study_design_scores_gemma":[0.00056722545,0.00023482942,0.0052091973,0.000008110818,0.00007656772,0.000003728872,0.0008829265,0.113089874,0.28809023,0.013364702,0.5782998,0.00017278385],"about_ca_topic_score_codex":0.00042172646,"about_ca_topic_score_gemma":0.00007959375,"teacher_disagreement_score":0.65801674,"about_ca_system_score_codex":0.000054139484,"about_ca_system_score_gemma":0.000003210398,"threshold_uncertainty_score":0.99985075},"labels":[],"label_agreement":null},{"id":"W1604151720","doi":"10.1029/2007wr005956","title":"Coupled modelling of glacier and streamflow response to future climate scenarios","year":2008,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":297,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Environment and Climate Change Canada; University of British Columbia","funders":"","keywords":"Streamflow; Glacier; Glacier mass balance; Climate change; Climatology; Environmental science; Forcing (mathematics); Drainage basin; Hydrology (agriculture); Geology; Geomorphology; Geography","score_opus":0.0735623846964823,"score_gpt":0.2758341788284651,"score_spread":0.20227179413198282,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1604151720","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9974215,0.0007322795,0.0001062031,0.0011309113,0.000047561683,0.00022041592,0.000034745543,0.000017135362,0.00028921748],"genre_scores_gemma":[0.9973427,0.00058977125,0.0012054145,0.00006081509,0.0001271691,0.0000034436493,0.00001588768,0.000005240397,0.0006495255],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9982724,0.0001782964,0.0001989147,0.0002644988,0.0005432199,0.0005426352],"domain_scores_gemma":[0.9992094,0.00022906647,0.00001803173,0.00022206115,0.00015056548,0.00017086064],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011000573,0.00009988062,0.00017358101,0.00010503931,0.00067163573,0.000051927636,0.00019669117,0.00005458438,0.00055002107],"category_scores_gemma":[0.00003631273,0.000064241845,0.00003450471,0.00035140177,0.0002015517,0.00009520184,0.00008241592,0.00018513425,0.00009213947],"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":[0.0044270707,0.00006838954,0.71277833,0.000115059935,0.0000678152,0.0001166192,0.06712549,0.2049103,0.0024843495,0.000014184816,0.0009899017,0.0069025015],"study_design_scores_gemma":[0.00058027287,0.0005457219,0.6169259,0.000040042967,0.0000073791653,0.00002227069,0.0070587965,0.1777732,0.0003511303,0.000074733616,0.1963781,0.00024248386],"about_ca_topic_score_codex":0.0027798074,"about_ca_topic_score_gemma":0.00071854726,"teacher_disagreement_score":0.19538818,"about_ca_system_score_codex":0.00000546197,"about_ca_system_score_gemma":0.000021841286,"threshold_uncertainty_score":0.6022345},"labels":[],"label_agreement":null},{"id":"W1604437326","doi":"10.1002/wrcr.20084","title":"A new technique for obtaining high‐resolution pore pressure records in thick claystone aquitards and its use to determine in situ compressibility","year":2013,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydraulic Fracturing and Reservoir Analysis","field":"Engineering","cited_by":50,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Environment and Climate Change Canada; University of Saskatchewan","funders":"","keywords":"Compressibility; In situ; Pore water pressure; Geology; Alpha (finance); Mineralogy; Transducer; High resolution; Geotechnical engineering; Materials science; Thermodynamics; Mathematics; Acoustics; Physics; Remote sensing; Statistics; Meteorology","score_opus":0.041876390413991896,"score_gpt":0.30175106330495466,"score_spread":0.2598746728909628,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1604437326","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9936982,0.0003973635,0.0033510313,0.0007162282,0.00003045464,0.0014874092,0.000009910093,0.000098869314,0.00021053397],"genre_scores_gemma":[0.9950709,0.00003838696,0.0023860107,0.000020778733,0.00010816397,0.0005908419,0.00002604205,0.000046455767,0.0017124326],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99755216,0.00026806106,0.0004202375,0.00047882568,0.0004128071,0.0008679077],"domain_scores_gemma":[0.9988843,0.00025447793,0.000018144085,0.0004228222,0.00014965417,0.00027060986],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015671388,0.00020956129,0.00038336226,0.0008054671,0.00011430338,0.00020295987,0.00035255164,0.0002588854,0.00007203807],"category_scores_gemma":[0.00028569612,0.00015924667,0.000056179088,0.0004618446,0.00004565245,0.00032874034,0.00029299973,0.000721612,0.000019368275],"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":[0.0004746964,0.00015858847,0.0124737015,0.0017201041,0.00017149835,0.00009701268,0.01932274,0.51747346,0.43233797,0.000009981326,0.005061386,0.010698861],"study_design_scores_gemma":[0.0024546725,0.00057171256,0.07046237,0.0010754534,0.00004051171,0.000024896523,0.0006067404,0.60153854,0.25830796,0.0011398182,0.06270718,0.0010701771],"about_ca_topic_score_codex":0.009832427,"about_ca_topic_score_gemma":0.003438422,"teacher_disagreement_score":0.17403002,"about_ca_system_score_codex":0.00013841661,"about_ca_system_score_gemma":0.00001867829,"threshold_uncertainty_score":0.9967612},"labels":[],"label_agreement":null},{"id":"W1604592173","doi":"10.1029/2007wr005922","title":"Role of a central administrator in managing water resources: The case of the Israeli water commissioner","year":2007,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Water resources management and optimization","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Water resources; Resource (disambiguation); Abstraction; Business; Water use; Water supply; Environmental economics; Environmental resource management; Water resource management; Environmental science; Economics; Computer science; Environmental engineering","score_opus":0.02065745688196863,"score_gpt":0.26757877030601407,"score_spread":0.24692131342404544,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1604592173","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9891707,0.00020571148,0.000051500832,0.000576065,0.00007240103,0.0006003918,0.0000058093483,0.00005489854,0.009262525],"genre_scores_gemma":[0.99792814,0.000017516215,0.000052350017,0.000028072622,0.00011195984,0.000022714352,0.000014737202,0.000061155384,0.0017633382],"study_design_codex":"qualitative","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99670285,0.00036094457,0.0006684524,0.00029871805,0.00068080396,0.0012882575],"domain_scores_gemma":[0.99887484,0.000086855216,0.000033526205,0.0007768534,0.00009975233,0.00012816048],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027407468,0.0002431275,0.0002777746,0.00046762326,0.00029318215,0.00012366705,0.0009251476,0.00013280568,0.0002410273],"category_scores_gemma":[0.000017523027,0.00009978016,0.00013225204,0.00038503887,0.00036792379,0.00013005319,0.0006902155,0.0006129266,0.00003387611],"study_design_candidate":"bench_or_experimental","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":[0.0010891424,0.00048279073,0.027613046,0.0017448546,0.0004119678,0.0012211719,0.43544492,0.155935,0.3635756,0.000254602,0.0016104504,0.010616454],"study_design_scores_gemma":[0.00088595133,0.00009889053,0.0024435823,0.00018589145,0.00003093537,0.00006694707,0.013190905,0.021739168,0.7667088,0.00053349446,0.19378477,0.00033066224],"about_ca_topic_score_codex":0.0008445792,"about_ca_topic_score_gemma":0.00053011975,"teacher_disagreement_score":0.42225403,"about_ca_system_score_codex":0.000082671235,"about_ca_system_score_gemma":0.0000037878033,"threshold_uncertainty_score":0.40689167},"labels":[],"label_agreement":null},{"id":"W1605067897","doi":"10.1029/2007wr006054","title":"A new rainfall model based on the Neyman‐Scott process using cubic copulas","year":2008,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Drought Analysis","field":"Environmental Science","cited_by":60,"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":"Copula (linguistics); Multivariate statistics; Mathematics; Marginal distribution; Poisson distribution; Spatial dependence; Duration (music); Statistical physics; Independence (probability theory); Statistics; Applied mathematics; Econometrics; Random variable","score_opus":0.07774506432816358,"score_gpt":0.3272620235802462,"score_spread":0.24951695925208262,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1605067897","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97509587,0.000014951959,0.0009919183,0.002482114,0.000010159241,0.00023011233,0.0000017521477,0.000030519423,0.021142615],"genre_scores_gemma":[0.99079275,0.00000434388,0.00036797495,0.00064741715,0.00006510402,0.000021513011,0.000004583764,0.000021489901,0.00807485],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9971209,0.000385189,0.00018877337,0.000444261,0.0011061328,0.00075472414],"domain_scores_gemma":[0.999099,0.00012484349,0.00002597834,0.0005349413,0.0000199979,0.00019520397],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0011784649,0.00015321656,0.00016559577,0.0001421111,0.0010532895,0.00005475019,0.00073395215,0.00011652091,0.0041706916],"category_scores_gemma":[0.00006715494,0.000083091254,0.000093420116,0.000538648,0.00061958464,0.00011805244,0.000264223,0.0005374937,0.0033400897],"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":[0.00024386661,0.00011869668,0.03603957,0.0000101896985,0.000027222413,0.00008921175,0.011906274,0.93432456,0.007698058,0.000011981707,0.009116688,0.0004136928],"study_design_scores_gemma":[0.00031336938,0.00008355922,0.00051908003,0.000011103511,0.000011035162,0.0000098982555,0.00010179206,0.9747078,0.009147734,0.0012583034,0.013681721,0.00015463277],"about_ca_topic_score_codex":0.0013960626,"about_ca_topic_score_gemma":0.00017298893,"teacher_disagreement_score":0.04038322,"about_ca_system_score_codex":0.000113478156,"about_ca_system_score_gemma":0.000035591722,"threshold_uncertainty_score":0.9974359},"labels":[],"label_agreement":null},{"id":"W1605113872","doi":"10.1029/2010wr009681","title":"Quantification of non‐Darcian flow observed during packer testing in fractured sedimentary rock","year":2011,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Groundwater flow and contamination studies","field":"Environmental Science","cited_by":100,"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; University of Waterloo","funders":"","keywords":"Nonlinear system; Hydraulic head; Hydrogeology; Flow (mathematics); Geology; Permeability (electromagnetism); Darcy's law; Mathematics; Volumetric flow rate; Mechanics; Geotechnical engineering; Porous medium; Geometry; Porosity; Physics; Chemistry","score_opus":0.11915746009591821,"score_gpt":0.29355374761622033,"score_spread":0.17439628752030212,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1605113872","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9977342,0.000026149331,0.00020445853,0.0001384126,0.000028669527,0.00025910983,0.0000029408757,0.000017736184,0.0015883502],"genre_scores_gemma":[0.99705166,0.0000030604765,0.0006534095,0.00002030406,0.000023700975,0.00005196025,0.0000105373365,0.000015092872,0.0021702931],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998059,0.00019437932,0.00030627116,0.00033994208,0.0006224753,0.00047794767],"domain_scores_gemma":[0.99950385,0.000055632285,0.00004040628,0.00028730455,0.000045282988,0.000067499306],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008816592,0.00011473184,0.00015626254,0.00016260445,0.00022273806,0.000029993229,0.0003279661,0.000058547343,0.00074626284],"category_scores_gemma":[0.00004454281,0.00008292843,0.00003405388,0.0003671323,0.00014212915,0.0002082328,0.000453372,0.00023546282,0.00033268117],"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":[0.000089988614,0.00014492737,0.61695504,0.000035390396,0.000014407725,0.000020379297,0.03708548,0.0003010232,0.3402194,9.78162e-7,0.00011491827,0.0050180377],"study_design_scores_gemma":[0.0003014002,0.000055677854,0.7476417,0.00002805713,0.0000026748544,0.0000011707333,0.0009969197,0.0017089668,0.24666415,0.000041116837,0.0024640674,0.000094114286],"about_ca_topic_score_codex":0.0043087318,"about_ca_topic_score_gemma":0.00063080643,"teacher_disagreement_score":0.13068661,"about_ca_system_score_codex":0.000119195356,"about_ca_system_score_gemma":0.0000035370265,"threshold_uncertainty_score":0.8171055},"labels":[],"label_agreement":null},{"id":"W1606613228","doi":"10.1029/2005wr004495","title":"Hydrological modeling in swelling/shrinking peat soils","year":2006,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Peatlands and Wetlands Ecology","field":"Environmental Science","cited_by":74,"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":"Università degli Studi di Padova; Institut national de la recherche scientifique","keywords":"Peat; Water content; Soil water; Soil science; Void ratio; Environmental science; Evapotranspiration; Bulk density; Pore water pressure; Richards equation; Geology; Constitutive equation; Geotechnical engineering; Hydrology (agriculture); Ecology","score_opus":0.05084676718199778,"score_gpt":0.2900484282890428,"score_spread":0.23920166110704505,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1606613228","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94887716,0.00005146433,0.000106403175,0.00052787835,0.000019623629,0.00013794999,6.7132834e-7,0.000031586078,0.050247267],"genre_scores_gemma":[0.9976256,0.00001914876,0.00011414715,0.000049911403,0.00013100675,0.000030264118,0.000015292928,0.000013585704,0.0020010816],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.997521,0.00025025624,0.00025209304,0.00044991332,0.00053809123,0.0009886406],"domain_scores_gemma":[0.9995966,0.000069189235,0.000012667901,0.00022965301,0.0000088163915,0.00008308878],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0015953878,0.000117786796,0.00016726996,0.0001548082,0.00025062586,0.000082633574,0.00040872063,0.0001358707,0.0012624612],"category_scores_gemma":[0.000018154595,0.00007619172,0.000045079323,0.00022327811,0.00020929342,0.00008917713,0.00055604795,0.00049184985,0.0008865506],"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":[0.00013533466,0.00021901727,0.66514933,0.0000120962195,0.000004999738,0.00033019256,0.002071589,0.30699766,0.022020735,0.000055089575,0.0008825613,0.0021214131],"study_design_scores_gemma":[0.0013980276,0.00035218216,0.05578139,0.000033982826,0.000004551662,0.0000444189,0.00019498952,0.8288359,0.0051073343,0.02376021,0.08396451,0.0005225079],"about_ca_topic_score_codex":0.005209885,"about_ca_topic_score_gemma":0.0021158801,"teacher_disagreement_score":0.60936797,"about_ca_system_score_codex":0.00013483096,"about_ca_system_score_gemma":0.0000028185434,"threshold_uncertainty_score":0.9998914},"labels":[],"label_agreement":null},{"id":"W1606724288","doi":"10.1029/2003wr002854","title":"Impact of spatial aggregation of inputs and parameters on the efficiency of rainfall‐runoff models: A theoretical study using chimera watersheds","year":2004,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":71,"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":"","keywords":"Watershed; Surface runoff; Structural basin; Environmental science; Hydrology (agriculture); Spatial distribution; Hydrological modelling; Spatial ecology; Computer science; Geology; Remote sensing; Climatology; Geomorphology; Ecology","score_opus":0.04914264429616352,"score_gpt":0.3204631227116258,"score_spread":0.2713204784154623,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1606724288","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9980937,0.000009864007,0.00021718015,0.00031534396,0.000012075816,0.00059133227,0.0000028728814,0.0000055123814,0.0007520884],"genre_scores_gemma":[0.99986994,0.000009866021,0.0000631834,0.000012990931,0.000006939237,0.000012605559,0.0000010918797,0.000009057182,0.000014319691],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99799436,0.00043097485,0.00028361077,0.0002670338,0.0006542458,0.0003697926],"domain_scores_gemma":[0.9994438,0.00013315356,0.000059431262,0.000292955,0.000025010748,0.00004564777],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017175052,0.00012567286,0.00022526509,0.00015290569,0.00019541342,0.000015182948,0.00030881987,0.000050298713,0.00010620493],"category_scores_gemma":[0.00005347691,0.000061212624,0.00006731142,0.00019462906,0.0021488746,0.00008004206,0.00057027256,0.00018504806,0.000006916623],"study_design_candidate":"bench_or_experimental","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":[0.002137928,0.0024047547,0.2867242,0.00010243485,0.0005657185,0.00002306861,0.23885407,0.39871252,0.06749961,0.0009797952,0.0000149574935,0.0019809343],"study_design_scores_gemma":[0.008737035,0.024032325,0.23213257,0.00045995772,0.0002871548,0.000012087819,0.008121506,0.11857116,0.527331,0.07926058,0.000049498907,0.001005146],"about_ca_topic_score_codex":0.0037285453,"about_ca_topic_score_gemma":0.000032357195,"teacher_disagreement_score":0.45983136,"about_ca_system_score_codex":0.00006483021,"about_ca_system_score_gemma":0.0000053470026,"threshold_uncertainty_score":0.7917618},"labels":[],"label_agreement":null},{"id":"W1606978468","doi":"10.1029/2009wr007761","title":"An enhanced nonparametric streamflow disaggregation model with genetic algorithm","year":2010,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Drought Analysis","field":"Environmental Science","cited_by":86,"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":"Nonparametric statistics; Resampling; Streamflow; Parametric statistics; Computer science; Variance (accounting); Covariance; Parametric model; Algorithm; Econometrics; Data mining; Mathematics; Statistics; Geography; Cartography; Drainage basin","score_opus":0.013766526812102702,"score_gpt":0.2874083519795388,"score_spread":0.27364182516743607,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1606978468","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97846705,0.000007261766,0.015848545,0.00015966626,0.000013880231,0.00017058206,0.0000033039014,0.000036255657,0.0052934657],"genre_scores_gemma":[0.9805149,0.000007048164,0.016129922,0.00003457677,0.0000644813,0.000048569305,0.000020328054,0.000019455516,0.0031607468],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99770504,0.00021052189,0.00015263447,0.0005065027,0.0008067552,0.00061853544],"domain_scores_gemma":[0.99908733,0.000055167413,0.000023806782,0.0005847436,0.00003004577,0.00021890324],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0007886889,0.00013019097,0.00013751248,0.00020949327,0.0003736369,0.00010022896,0.0005086013,0.00015120945,0.002194297],"category_scores_gemma":[0.00002568413,0.00007990015,0.00003754274,0.0006749841,0.0006453254,0.00023369874,0.00016141191,0.0006140588,0.001080921],"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":[0.0002203039,0.00063356565,0.048875708,0.0000116059455,0.00007246267,0.000064541266,0.010474477,0.26861736,0.4014345,0.000010325034,0.00023706509,0.26934806],"study_design_scores_gemma":[0.0003534005,0.00031765617,0.008229648,0.0000032580672,0.000018044542,0.000009014112,0.00008064248,0.8864752,0.10077447,0.0012550132,0.002261714,0.00022196412],"about_ca_topic_score_codex":0.0006788305,"about_ca_topic_score_gemma":0.0008637601,"teacher_disagreement_score":0.6178578,"about_ca_system_score_codex":0.000047178262,"about_ca_system_score_gemma":0.000007365282,"threshold_uncertainty_score":0.99969685},"labels":[],"label_agreement":null},{"id":"W1607618299","doi":"10.1029/2005wr004227","title":"Derivation of unit hydrograph using a transfer function approach","year":2006,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":36,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ministry of the Environment, Conservation and Parks","funders":"","keywords":"Hydrograph; Transfer function; Smoothing; Nonlinear system; Applied mathematics; Function (biology); Mathematics; Degree (music); Computer science; Statistics; Physics; Engineering","score_opus":0.054302150652691124,"score_gpt":0.2793810567217028,"score_spread":0.2250789060690117,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1607618299","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9685304,0.000024694024,0.003794006,0.000106511456,0.000014775397,0.00022094777,8.6224276e-7,0.000023261828,0.027284503],"genre_scores_gemma":[0.99846244,0.0000048417915,0.00018737196,0.000019580559,0.000032578446,0.000021211834,0.000015452608,0.000010221138,0.0012462744],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998519,0.00020303122,0.00017176273,0.0002500741,0.00045780762,0.00039832562],"domain_scores_gemma":[0.999753,0.00001968926,0.000010901744,0.0001738699,0.000014700125,0.000027852604],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008269451,0.0000861265,0.000110556764,0.00017968933,0.0003144325,0.000020248264,0.0001717614,0.000062547275,0.00032403515],"category_scores_gemma":[0.0000038125058,0.000059655868,0.000043213582,0.00037595024,0.00053058163,0.0001235932,0.000185251,0.00014954462,0.00008193412],"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":[0.00048121714,0.000638463,0.62464434,0.000149952,0.00013343545,0.0000114121,0.007520156,0.0748434,0.28763008,0.0006654351,0.0011737113,0.0021084181],"study_design_scores_gemma":[0.0032678347,0.0011662388,0.43944973,0.00006048897,0.00018202719,0.000015130354,0.0026711281,0.044220597,0.17954732,0.024277804,0.3040853,0.001056367],"about_ca_topic_score_codex":0.0020803916,"about_ca_topic_score_gemma":0.00006382653,"teacher_disagreement_score":0.3029116,"about_ca_system_score_codex":0.000028793682,"about_ca_system_score_gemma":9.596454e-7,"threshold_uncertainty_score":0.35479575},"labels":[],"label_agreement":null},{"id":"W1607702205","doi":"10.1029/2005wr004627","title":"A field investigation of phreatophyte‐induced fluctuations in the water table","year":2007,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":167,"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":"Kansas Water Resources Institute, Kansas State University; National Science Foundation","keywords":"Water table; Riparian zone; Environmental science; Hydrology (agriculture); Vegetation (pathology); Water level; Groundwater; Table (database); Hydrograph; Atmospheric sciences; Geology; Flood myth; Ecology; Geography","score_opus":0.0338866214437294,"score_gpt":0.288332135201896,"score_spread":0.2544455137581666,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1607702205","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98510325,0.0000051522693,0.000060430844,0.0009934527,0.000019541576,0.00024069249,0.0000020843054,0.000008359362,0.013567014],"genre_scores_gemma":[0.9983084,0.000003393,0.0000868062,0.0000873024,0.00002541733,0.000020745787,0.000023478857,0.0000069400094,0.0014375248],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99833846,0.0001816862,0.00023178493,0.0001831428,0.00061632576,0.00044862513],"domain_scores_gemma":[0.9994995,0.0001416338,0.00001572959,0.0002741412,0.00001878467,0.000050239967],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002676396,0.00007239174,0.00008262877,0.00015640231,0.00016358103,0.00004471661,0.00035512616,0.000077502365,0.00043570893],"category_scores_gemma":[0.000027696808,0.00003233544,0.00002584434,0.00038444184,0.00014238853,0.00012332128,0.00017557967,0.00030035942,0.0002016881],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009173428,0.0000824051,0.1592419,0.000018298557,0.000010412529,0.000032558088,0.047802508,0.0015761084,0.78804034,0.00015100284,0.00035739588,0.0025953564],"study_design_scores_gemma":[0.0006038184,0.00032603292,0.1040768,0.0000382567,0.00000963115,0.000023310366,0.0014430635,0.0072561945,0.84528583,0.00923136,0.03144128,0.00026444806],"about_ca_topic_score_codex":0.0024081185,"about_ca_topic_score_gemma":0.00090427964,"teacher_disagreement_score":0.057245478,"about_ca_system_score_codex":0.000060115548,"about_ca_system_score_gemma":0.000003839985,"threshold_uncertainty_score":0.47707075},"labels":[],"label_agreement":null},{"id":"W1609486679","doi":"10.1029/2007wr006771","title":"Depth and homogeneity in regional flood frequency analysis","year":2008,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Drought Analysis","field":"Environmental Science","cited_by":88,"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":"Homogeneity (statistics); Canonical correlation; Principal component analysis; Mathematics; Computer science; Multivariate statistics; Homogeneous; Statistics; Function (biology); Ranking (information retrieval); Flood myth; Context (archaeology); Mathematical optimization; Residual; Square root; Algorithm; Applied mathematics; Geology; Artificial intelligence; Geography; Geometry","score_opus":0.05016153842424371,"score_gpt":0.30198649215063417,"score_spread":0.25182495372639047,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1609486679","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9910952,0.00020482452,0.000018609386,0.00064612366,0.0000041460403,0.000076903656,0.0000014209899,0.000019976047,0.007932795],"genre_scores_gemma":[0.9981312,0.00014249838,0.00021028846,0.000074452015,0.000025835547,0.000018894954,0.0000107428,0.000008955616,0.001377108],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9978023,0.0004224963,0.00018771747,0.0004498249,0.0005914986,0.0005461247],"domain_scores_gemma":[0.99945,0.000067501634,0.000014724472,0.00031467027,0.000011999564,0.00014107811],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0010822318,0.00009935393,0.00020396935,0.00040792316,0.00038659325,0.000020573178,0.00029581937,0.00010772244,0.0015724613],"category_scores_gemma":[0.000029059718,0.000069689806,0.00008231292,0.001293333,0.0008653173,0.00012135875,0.00032753218,0.00033186862,0.0006052794],"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":[0.000020994969,0.000060234186,0.99321514,0.0000018455296,0.00007473855,0.00013612724,0.0033416005,0.0007206676,0.0018601981,0.000005391952,0.00020490793,0.00035814356],"study_design_scores_gemma":[0.0002501768,0.0000518535,0.98620397,0.0000017387067,0.000039187726,0.000025822643,0.00008573624,0.0020120589,0.0016523156,0.0009431975,0.008600736,0.00013323149],"about_ca_topic_score_codex":0.009138592,"about_ca_topic_score_gemma":0.01326324,"teacher_disagreement_score":0.008395828,"about_ca_system_score_codex":0.00007041402,"about_ca_system_score_gemma":0.000004909529,"threshold_uncertainty_score":0.99934024},"labels":[],"label_agreement":null},{"id":"W1610267795","doi":"10.1029/2010wr010128","title":"Stochastic downscaling of precipitation with neural network conditional mixture models","year":2011,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Climate variability and models","field":"Environmental Science","cited_by":43,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Impact","funders":"Fonds Québécois de la Recherche sur la Nature et les Technologies","keywords":"Downscaling; Artificial neural network; Benchmark (surveying); Generalized Pareto distribution; Conditional probability distribution; Computer science; Pareto principle; Mathematics; Precipitation; Mathematical optimization; Meteorology; Artificial intelligence; Statistics; Geography; Extreme value theory","score_opus":0.08124899016304221,"score_gpt":0.2892180460614171,"score_spread":0.2079690558983749,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1610267795","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9869108,0.000013646619,0.0053533874,0.000089194065,0.000017278406,0.00029511878,0.000012454575,0.000019150213,0.0072889775],"genre_scores_gemma":[0.9983688,0.0000014684591,0.0011793296,0.000022303951,0.0000423914,0.000040473253,0.00003159612,0.000012968531,0.00030066565],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99816144,0.0002108771,0.0001871158,0.0002880104,0.0006899554,0.00046262523],"domain_scores_gemma":[0.99948317,0.000110693225,0.000030016996,0.00023363753,0.00004381219,0.000098647404],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00094959314,0.00009359034,0.00012126423,0.00005213992,0.00019241763,0.000023886087,0.00025289805,0.00006783625,0.001935514],"category_scores_gemma":[0.00001640684,0.000058871632,0.000033718075,0.00018436405,0.00049785705,0.00022209273,0.00022971569,0.00024201183,0.00008183298],"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":[0.00037488504,0.0001161418,0.0031068302,0.000025824136,0.00001587213,0.0000042600313,0.017671073,0.9734373,0.004393762,0.0004168675,0.0002007871,0.00023637355],"study_design_scores_gemma":[0.0011796217,0.0010067286,0.017090473,0.00011358551,0.000034486602,0.000026892953,0.00093940133,0.8258241,0.006938799,0.14531824,0.0010521344,0.00047554396],"about_ca_topic_score_codex":0.00058429525,"about_ca_topic_score_gemma":0.00009809641,"teacher_disagreement_score":0.14761323,"about_ca_system_score_codex":0.00005013913,"about_ca_system_score_gemma":0.000004984088,"threshold_uncertainty_score":0.9989768},"labels":[],"label_agreement":null},{"id":"W1610557344","doi":"10.1029/2003wr002414","title":"Diagnosing a distributed hydrologic model for two high‐elevation forested catchments based on detailed stand‐ and basin‐scale data","year":2004,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":76,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Government of British Columbia; University of British Columbia","funders":"U.S. Forest Service","keywords":"Canopy interception; Environmental science; Streamflow; Snowmelt; Shortwave radiation; Interception; Hydrograph; Snow; Hydrology (agriculture); Albedo (alchemy); Evapotranspiration; Precipitation; Water balance; Atmospheric sciences; Drainage basin; Soil water; Meteorology; Geology; Throughfall; Soil science; Geography; Radiation","score_opus":0.06895656329505778,"score_gpt":0.32750231477833064,"score_spread":0.25854575148327286,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1610557344","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9820531,0.000015709993,0.011809106,0.004725913,0.000022394473,0.0008992573,0.00014127966,0.000049009614,0.00028421232],"genre_scores_gemma":[0.99777323,0.000015110352,0.0008639453,0.00030271342,0.000026681544,0.00020291586,0.0004918462,0.0000182313,0.000305312],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9976759,0.00016807156,0.00021450617,0.00068700773,0.0005290537,0.0007254603],"domain_scores_gemma":[0.9990963,0.00017184799,0.000035074812,0.00057087286,0.000020517298,0.00010543025],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014550196,0.00017287022,0.00019825404,0.000120438825,0.0007751236,0.00008851318,0.00050985056,0.00007943556,0.00005094595],"category_scores_gemma":[0.00009680459,0.00011810664,0.00002673455,0.0001795077,0.00047255133,0.00022858598,0.0009840517,0.00020701003,0.00006588561],"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":[0.0012754168,0.0005517352,0.24768177,0.00009743403,0.00007840261,0.000033150332,0.0034821997,0.7400233,0.0026796588,0.000051569405,0.0028433143,0.0012020158],"study_design_scores_gemma":[0.0043260474,0.0005687229,0.02326862,0.000048655424,0.000041841184,9.774151e-7,0.00011216122,0.9520985,0.0049236654,0.007835362,0.006477458,0.00029802512],"about_ca_topic_score_codex":0.0005400435,"about_ca_topic_score_gemma":0.00041249875,"teacher_disagreement_score":0.22441314,"about_ca_system_score_codex":0.0001867637,"about_ca_system_score_gemma":0.0000065432423,"threshold_uncertainty_score":0.59617025},"labels":[],"label_agreement":null},{"id":"W1610760377","doi":"10.1029/2012wr012831","title":"Availability, volatility, stability, and teleconnectivity changes in prairie water supply from Canadian Rocky Mountain sources over the last millennium","year":2012,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Tree-ring climate responses","field":"Earth and Planetary Sciences","cited_by":29,"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 Regina; University of British Columbia","funders":"","keywords":"Geography; Volatility (finance); Experiential learning; Physical geography; Environmental science; Hydrology (agriculture); Geology; Econometrics; Mathematics","score_opus":0.04057622977512242,"score_gpt":0.2726372998446821,"score_spread":0.23206107006955967,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1610760377","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99112076,0.0016395727,3.212555e-7,0.004825775,0.000099735065,0.00071603834,0.00039278838,0.00004667084,0.0011583234],"genre_scores_gemma":[0.99906397,0.000077819765,0.000019970183,0.00012837042,0.0002830703,0.000023261899,0.00012626006,0.000019275692,0.00025798156],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99346185,0.0022229736,0.00035127535,0.00071960344,0.00092912506,0.0023151585],"domain_scores_gemma":[0.9966304,0.0018376985,0.000031165255,0.00073906797,0.000098898156,0.0006628264],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0064093084,0.0003180298,0.00035943577,0.0005177625,0.0008075707,0.00047773577,0.0007282634,0.00022109551,0.0073673767],"category_scores_gemma":[0.00034897352,0.00016820141,0.000057975154,0.00032781242,0.00088087766,0.00046224703,0.00037462948,0.0008670507,0.0005006776],"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":[0.00019467618,0.00004782296,0.9794615,0.00005917793,0.000021361542,0.000012337487,0.016416058,0.0000146794355,0.0010798936,0.0000013064425,0.00026816197,0.0024230094],"study_design_scores_gemma":[0.00027752883,0.00011970379,0.8860715,0.000022407348,0.0000068958725,0.000008563727,0.0019311794,0.0006205884,0.011076016,0.00021834897,0.09940774,0.00023951259],"about_ca_topic_score_codex":0.7143772,"about_ca_topic_score_gemma":0.9783104,"teacher_disagreement_score":0.26393318,"about_ca_system_score_codex":0.00010897768,"about_ca_system_score_gemma":0.00007379223,"threshold_uncertainty_score":0.99354005},"labels":[],"label_agreement":null},{"id":"W1611413492","doi":"10.1029/2003wr002858","title":"A hillslope‐scale experiment to measure lateral saturated hydraulic conductivity","year":2004,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Soil and Unsaturated Flow","field":"Engineering","cited_by":142,"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 Science Foundation","keywords":"Hydraulic conductivity; Permeameter; Scale (ratio); Soil science; Hydrology (agriculture); Geology; Outflow; Watershed; Geomorphology; Environmental science; Soil water; Geotechnical engineering; Physics","score_opus":0.04441554026528053,"score_gpt":0.28818254367506724,"score_spread":0.24376700340978671,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1611413492","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9899137,0.00033559185,0.000033122295,0.001333417,0.00021891875,0.00041941917,0.000008361121,0.00041689785,0.007320583],"genre_scores_gemma":[0.99819785,0.000010648405,0.0001610919,0.00010449488,0.00023910683,0.000117025214,0.000021140051,0.00006786885,0.0010807799],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99741286,0.00014371949,0.00022646338,0.00040409886,0.0007790811,0.0010337619],"domain_scores_gemma":[0.99905413,0.000021394206,0.0000069841462,0.00044905007,0.00016655281,0.00030189328],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005240212,0.0002441445,0.0002473816,0.00032890335,0.00022714569,0.00022631208,0.0003926666,0.0001777885,0.00014775278],"category_scores_gemma":[0.000022385042,0.0001715667,0.00006990797,0.00055803143,0.0001031961,0.00017374872,0.00016207143,0.00071294303,0.0011129574],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018879333,0.00011391869,0.00025817865,0.00006303111,0.00010154425,0.00011956562,0.03696007,0.027246714,0.9267573,0.000011240208,0.004040373,0.0041392925],"study_design_scores_gemma":[0.0009374547,0.00016329634,0.0011374858,0.00008553513,0.000004977519,0.00002351086,0.0005393082,0.0005846146,0.8608922,0.0001519069,0.13508983,0.00038993836],"about_ca_topic_score_codex":0.00044798723,"about_ca_topic_score_gemma":0.00010007169,"teacher_disagreement_score":0.13104945,"about_ca_system_score_codex":0.00029912224,"about_ca_system_score_gemma":0.000018122455,"threshold_uncertainty_score":0.9996648},"labels":[],"label_agreement":null},{"id":"W1613298756","doi":"10.1002/wrcr.20086","title":"Virus and virus‐sized microsphere transport in a dolomite rock fracture","year":2013,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Groundwater flow and contamination studies","field":"Environmental Science","cited_by":32,"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 Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Water Network","keywords":"Dolomite; Microsphere; Fracture (geology); Virus; Geology; Bacteriophage; Geotechnical engineering; Virology; Mineralogy; Chemistry; Chemical engineering; Engineering; Biology","score_opus":0.01946020392893987,"score_gpt":0.26898187158968945,"score_spread":0.24952166766074957,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1613298756","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.995847,0.00018997015,0.000097633376,0.0013133589,0.000014375107,0.00042029493,0.0000039984675,0.000024125391,0.002089278],"genre_scores_gemma":[0.97693837,0.00006489501,0.00006579169,0.00025320225,0.000026543265,0.00014492967,0.0000071362297,0.000016824724,0.022482295],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9980215,0.00018035609,0.0002237831,0.00041531707,0.00053754327,0.00062151975],"domain_scores_gemma":[0.9995632,0.000057289926,0.000016639882,0.00021905638,0.000023555956,0.000120236116],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0005598531,0.00015103183,0.00019289322,0.00007874806,0.0002608967,0.0001235278,0.0002747895,0.00010126208,0.005249308],"category_scores_gemma":[0.000010679887,0.00009714951,0.000036991514,0.0002021211,0.00022497124,0.00027329996,0.0002887172,0.00035283962,0.002281135],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014618343,0.00017445404,0.3453818,0.0000404398,0.000030407116,0.00006025245,0.040460493,0.0001885443,0.58856696,0.000002220418,0.005232157,0.019716112],"study_design_scores_gemma":[0.00076103717,0.00007002427,0.5408926,0.000016542434,0.00000330911,0.0000052683276,0.000925227,0.00020254412,0.037456803,0.00018181124,0.4192918,0.00019302049],"about_ca_topic_score_codex":0.0151827065,"about_ca_topic_score_gemma":0.0037243993,"teacher_disagreement_score":0.55111015,"about_ca_system_score_codex":0.00008752561,"about_ca_system_score_gemma":0.0000029076616,"threshold_uncertainty_score":0.9984957},"labels":[],"label_agreement":null},{"id":"W1613325149","doi":"10.1029/2001wr001149","title":"Uncertainty of nitrate‐N load computations for agricultural watersheds","year":2002,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Soil and Water Nutrient Dynamics","field":"Environmental Science","cited_by":74,"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":"Estimator; Statistics; Sampling (signal processing); Monte Carlo method; Mean squared error; Rating curve; Mathematics; Environmental science; Computer science; Sediment","score_opus":0.05182289621333727,"score_gpt":0.28857658993917623,"score_spread":0.23675369372583896,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1613325149","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98967177,0.000025288771,0.00007682432,0.0008376291,0.000043211447,0.0003609894,0.000019372654,0.000029998026,0.008934926],"genre_scores_gemma":[0.9939841,0.000012665205,0.00026947225,0.00002621475,0.000050899034,0.000058197264,0.000036317055,0.000012542093,0.005549589],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99803257,0.00012338544,0.00023148677,0.0002916997,0.0007261035,0.0005947539],"domain_scores_gemma":[0.99946624,0.00009780446,0.00002489427,0.00020869498,0.00008485996,0.00011750019],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005555422,0.00011479466,0.00014471289,0.00006732616,0.00028337762,0.00006291289,0.00038983513,0.000068652385,0.00045814257],"category_scores_gemma":[0.00002490317,0.00006507092,0.00008325194,0.0002676659,0.00041944665,0.00011976603,0.00025098684,0.00016261339,0.00055490073],"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":[0.00066838734,0.0021325434,0.496037,0.00049444375,0.00024499488,0.00004262863,0.16691129,0.15401903,0.0902768,0.00050311815,0.061488695,0.02718106],"study_design_scores_gemma":[0.0060031097,0.0022258826,0.050685365,0.00014902982,0.00006753135,0.000053058036,0.0069240322,0.24719842,0.100031175,0.035026643,0.55008936,0.0015464014],"about_ca_topic_score_codex":0.00069202104,"about_ca_topic_score_gemma":0.000035060002,"teacher_disagreement_score":0.48860064,"about_ca_system_score_codex":0.00016410359,"about_ca_system_score_gemma":0.000002060666,"threshold_uncertainty_score":0.71323115},"labels":[],"label_agreement":null},{"id":"W1615558382","doi":"10.1029/2005wr004010","title":"Exploring dynamic effects in capillary pressure in multistep outflow experiments","year":2005,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Groundwater flow and contamination studies","field":"Environmental Science","cited_by":88,"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":"Outflow; Mechanics; Experimental data; Consistency (knowledge bases); Constitutive equation; Capillary action; Capillary pressure; Work (physics); Saturation (graph theory); Flow (mathematics); Multiphase flow; Thermodynamics; Materials science; Mathematics; Applied mathematics; Physics; Statistics; Finite element method; Geometry","score_opus":0.07289751631778019,"score_gpt":0.3204973256781515,"score_spread":0.2475998093603713,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1615558382","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99693567,0.0004298889,0.00003041723,0.000369988,0.000049728536,0.0004236324,8.4112287e-7,0.00002500801,0.001734827],"genre_scores_gemma":[0.9892234,0.000049683094,0.00014840561,0.00003366498,0.000031430816,0.0004284283,0.0000040058067,0.000019397557,0.010061577],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9975119,0.00034921776,0.00023475803,0.00043751797,0.000730982,0.0007356263],"domain_scores_gemma":[0.9995512,0.00007891151,0.000013504037,0.0002637263,0.000010987265,0.000081696744],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00081340433,0.00014575705,0.00017925892,0.00025135282,0.00015510767,0.00007127157,0.00034795422,0.00005420007,0.00021423012],"category_scores_gemma":[0.00002790833,0.00010887481,0.000031553896,0.0002689057,0.00016571379,0.00042254952,0.000686179,0.00032568444,0.00094588625],"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":[0.00017581054,0.0005854424,0.47926012,0.00013945441,0.000038806284,0.00028227567,0.17481051,0.0061437553,0.14673035,0.000008562761,0.0002906035,0.19153433],"study_design_scores_gemma":[0.0020476612,0.00013906365,0.63046473,0.00012346332,0.0000041739636,0.000004948921,0.003071705,0.012358142,0.08635424,0.000032598848,0.26499733,0.00040197308],"about_ca_topic_score_codex":0.0021299552,"about_ca_topic_score_gemma":0.0028941329,"teacher_disagreement_score":0.26470673,"about_ca_system_score_codex":0.0003221919,"about_ca_system_score_gemma":0.0000021058875,"threshold_uncertainty_score":0.999832},"labels":[],"label_agreement":null},{"id":"W1616498667","doi":"10.1002/2015wr017144","title":"Suppressed convective rainfall by agricultural expansion in southeastern <scp>B</scp>urkina <scp>F</scp>aso","year":2015,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":11,"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 British Columbia","funders":"U.S. Department of Energy","keywords":"Agriculture; Environmental science; Hydrology (agriculture); Agricultural land; Geography; Agroforestry; Geology","score_opus":0.025202448552526673,"score_gpt":0.25616829826979554,"score_spread":0.23096584971726886,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1616498667","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95746875,0.00012202019,0.000026373838,0.00018026291,0.000082272476,0.00058656896,0.000074691896,0.0000716896,0.041387375],"genre_scores_gemma":[0.95927584,0.000019609843,0.00005399897,0.00004735523,0.00006758767,0.00009187401,0.00023301273,0.00003889992,0.04017182],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.995184,0.0007239909,0.00040751317,0.0007561925,0.0015792294,0.0013490572],"domain_scores_gemma":[0.998491,0.00042801694,0.00006582099,0.0004571737,0.000068513524,0.0004894641],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0016436117,0.00031905153,0.00031865062,0.0002302803,0.0002529182,0.0002934404,0.0008180685,0.00026927175,0.00007833794],"category_scores_gemma":[0.00029734234,0.00020839133,0.00008950617,0.000577668,0.00046033348,0.00039223858,0.0009545991,0.00083048636,0.0018915687],"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":[0.00008975346,0.00079277647,0.4175932,0.00006625467,0.00009696006,0.000305007,0.2257061,0.01460742,0.2743769,0.000036711663,0.065528475,0.0008004379],"study_design_scores_gemma":[0.00510902,0.00091451465,0.08481477,0.00017730096,0.000034306202,0.00014254899,0.039077096,0.03897599,0.06804836,0.0018308967,0.76041585,0.00045933793],"about_ca_topic_score_codex":0.002177637,"about_ca_topic_score_gemma":0.00048474126,"teacher_disagreement_score":0.6948874,"about_ca_system_score_codex":0.00031004616,"about_ca_system_score_gemma":0.00001580897,"threshold_uncertainty_score":0.9988856},"labels":[],"label_agreement":null},{"id":"W1618006338","doi":"10.1029/2001wr001058","title":"A lumped‐parameter model of groundwater influx to a mine adit in mountainous terrain","year":2002,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Groundwater flow and contamination studies","field":"Environmental Science","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Geological Survey of Canada","funders":"","keywords":"Groundwater recharge; Geology; Hydraulic conductivity; Hydrogeology; Hydrology (agriculture); Groundwater; Hydrograph; Water table; Borehole; Groundwater flow; Groundwater model; Terrain; Geomorphology; Geotechnical engineering; Soil science; Aquifer; Drainage basin; Soil water","score_opus":0.06177915284361283,"score_gpt":0.2941531470894364,"score_spread":0.23237399424582358,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1618006338","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9931953,0.000028160635,0.0003642981,0.0012469745,0.000021640748,0.00043952215,0.0000037813456,0.00002076712,0.004679584],"genre_scores_gemma":[0.9546586,0.000006260102,0.00025227945,0.00021538463,0.00002603618,0.00018083371,0.0000035410271,0.00002277939,0.044634257],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9970553,0.00022519758,0.00039634068,0.0004825517,0.0009883771,0.00085225137],"domain_scores_gemma":[0.99928993,0.00008039026,0.000018040271,0.00041879303,0.000042264477,0.0001505865],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00095413544,0.00018143102,0.00026814285,0.00038472962,0.0001498743,0.00008490799,0.0005320487,0.00008327819,0.0019338975],"category_scores_gemma":[0.00005595076,0.00012571548,0.00006375444,0.00043153274,0.0003284359,0.00021425566,0.00088171544,0.0002723058,0.0016163429],"study_design_candidate":"bench_or_experimental","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":[0.00045936115,0.0016263094,0.15388156,0.00014900145,0.000097592776,0.00014427264,0.33397123,0.01555217,0.37409878,0.00002798525,0.012129549,0.107862175],"study_design_scores_gemma":[0.004281068,0.0027889793,0.07036332,0.000201179,0.000032124994,0.000040754647,0.006044168,0.44153604,0.09899091,0.0014059142,0.37254965,0.0017658906],"about_ca_topic_score_codex":0.0035812939,"about_ca_topic_score_gemma":0.0017988785,"teacher_disagreement_score":0.42598388,"about_ca_system_score_codex":0.00024181174,"about_ca_system_score_gemma":0.000002127228,"threshold_uncertainty_score":0.999161},"labels":[],"label_agreement":null},{"id":"W1618756597","doi":"10.1029/2011wr011501","title":"Improved methods for daily streamflow estimates at ungauged sites","year":2012,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":138,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Hydro-Québec; Institut National de la Recherche Scientifique","funders":"","keywords":"Jackknife resampling; Streamflow; Mean squared error; Interpolation (computer graphics); Statistics; Multivariate interpolation; Regression; Standard deviation; Computer science; Mathematics; Geography; Cartography; Artificial intelligence","score_opus":0.06334741971883528,"score_gpt":0.3848027313486919,"score_spread":0.32145531162985663,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1618756597","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9880308,0.000271014,0.0014157715,0.0013716468,0.00007176291,0.00068992795,0.000006510405,0.00007658788,0.008065958],"genre_scores_gemma":[0.95608366,0.000026645406,0.02395238,0.00014792832,0.00012629983,0.0003404074,0.000040615047,0.000033407418,0.019248664],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.9973946,0.00038826643,0.00019282378,0.0003938258,0.0002879059,0.0013425436],"domain_scores_gemma":[0.9989713,0.00046248836,0.000024860272,0.00034523048,0.000016993936,0.0001791505],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0035303421,0.00017749534,0.00020560414,0.00010506483,0.000971361,0.00005321999,0.0004221148,0.00009826224,0.0017765095],"category_scores_gemma":[0.00013191454,0.00011222426,0.00007625217,0.00013876078,0.0006015453,0.00022866491,0.0016526069,0.00020736485,0.0010719859],"study_design_candidate":"bench_or_experimental","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":[0.00044812358,0.00025658307,0.34484747,0.00010463536,0.00019037859,0.0000038254716,0.016663045,0.0001691512,0.60431206,0.00003534037,0.017053258,0.01591614],"study_design_scores_gemma":[0.0006507967,0.00025532566,0.014443381,0.0000066227426,0.000036515514,0.0000031615145,0.00034941515,0.0039930935,0.35167453,0.0014702966,0.6268216,0.0002952881],"about_ca_topic_score_codex":0.00022167673,"about_ca_topic_score_gemma":0.000060761868,"teacher_disagreement_score":0.60976833,"about_ca_system_score_codex":0.0001476043,"about_ca_system_score_gemma":0.0000011274243,"threshold_uncertainty_score":0.9997058},"labels":[],"label_agreement":null},{"id":"W1619164700","doi":"10.1029/2001wr000862","title":"Multicomponent reactive transport modeling in variably saturated porous media using a generalized formulation for kinetically controlled reactions","year":2002,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Mine drainage and remediation techniques","field":"Environmental Science","cited_by":553,"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; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Government of Canada","keywords":"Dissolution; Aquifer; Porous medium; Precipitation; Groundwater; Vadose zone; Chemistry; Reaction rate; Volatilisation; Aqueous solution; Contamination; Porosity; Geology; Catalysis; Geotechnical engineering; Organic chemistry","score_opus":0.09154146722511944,"score_gpt":0.31759863411274897,"score_spread":0.22605716688762953,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1619164700","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9865516,0.000028723845,0.0099013,0.0004051833,0.000028955172,0.0014279246,0.0000074215914,0.0000611344,0.0015877937],"genre_scores_gemma":[0.9925693,0.000027330028,0.0065161786,0.000031113857,0.000075580916,0.00022900304,0.00005665932,0.000026186937,0.0004686181],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9976987,0.00024073587,0.00049496803,0.0003762427,0.0006286884,0.0005606151],"domain_scores_gemma":[0.9993452,0.00019749781,0.00005011101,0.00021640547,0.00007714073,0.00011367585],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013487436,0.00014592503,0.00027318133,0.0002778521,0.0002265622,0.000043007345,0.00019363285,0.00014573631,0.00061880815],"category_scores_gemma":[0.00017034476,0.000101509046,0.00007886807,0.0002941138,0.000073097275,0.00020380446,0.00006222559,0.00029581497,0.000029089644],"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":[0.0007397135,0.00024630292,0.0003165387,0.000018964342,0.000021206808,0.00001929622,0.009655686,0.032183174,0.95576364,0.00006506601,0.000044877226,0.0009255609],"study_design_scores_gemma":[0.0031971815,0.0000664566,0.00021168373,0.000025834166,0.0000133997855,0.0000051018355,0.00016003301,0.96828824,0.024679132,0.0009736206,0.0022187997,0.00016050202],"about_ca_topic_score_codex":0.0026802113,"about_ca_topic_score_gemma":0.00024389947,"teacher_disagreement_score":0.9361051,"about_ca_system_score_codex":0.0002885689,"about_ca_system_score_gemma":0.0000046402524,"threshold_uncertainty_score":0.6775515},"labels":[],"label_agreement":null},{"id":"W1619620703","doi":"10.1029/2004wr003846","title":"Solving a stochastic reservoir management problem with multilag autocorrelated inflows","year":2005,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Water resources management and optimization","field":"Engineering","cited_by":37,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Inflow; Autocorrelation; Autoregressive model; Variable (mathematics); Flood myth; Stochastic programming; Econometrics; Random variable; Mathematics; Mathematical optimization; Statistics; Meteorology; Geography","score_opus":0.01905611914795885,"score_gpt":0.24776642647521213,"score_spread":0.22871030732725328,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1619620703","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9179547,0.00022345858,0.010220724,0.0005780889,0.000061034552,0.002533278,0.0000036453678,0.0012827641,0.0671423],"genre_scores_gemma":[0.97735,0.000028990395,0.0064525674,0.0000252621,0.00019274348,0.00042593345,0.000047878762,0.00013759227,0.015339027],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99680156,0.0001303134,0.0003769665,0.00047079212,0.0010116388,0.0012087371],"domain_scores_gemma":[0.9990609,0.0000427559,0.000023967206,0.0005589078,0.00012489554,0.0001885544],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008627755,0.00030639427,0.0002314427,0.00083760434,0.00036115124,0.00042769595,0.00063495955,0.00011887672,0.0002929251],"category_scores_gemma":[0.0000074955597,0.00021258759,0.000054825003,0.0006354045,0.00012921866,0.00038307605,0.00044069107,0.0006147754,0.0008028673],"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":[0.00011280151,0.00005336737,0.00017491398,0.00024750267,0.00014141237,0.000045420456,0.006928669,0.9851059,0.00043158542,0.000040237348,0.001785031,0.0049331817],"study_design_scores_gemma":[0.0013332559,0.00013571754,0.0003549345,0.00025075272,0.000031987736,0.000007494247,0.00046903445,0.77446467,0.0014416401,0.00008230134,0.22097546,0.00045273377],"about_ca_topic_score_codex":0.00004453856,"about_ca_topic_score_gemma":0.000060737977,"teacher_disagreement_score":0.21919042,"about_ca_system_score_codex":0.00020897054,"about_ca_system_score_gemma":0.000004019252,"threshold_uncertainty_score":0.99997514},"labels":[],"label_agreement":null},{"id":"W1619650499","doi":"10.1029/2003wr002233","title":"Multicomponent reactive transport modeling of acid neutralization reactions in mine tailings","year":2004,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Mine drainage and remediation techniques","field":"Environmental Science","cited_by":45,"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 British Columbia; Environment and Climate Change Canada; University of Waterloo","funders":"","keywords":"Ankerite; Siderite; Dolomite; Chlorite; Dissolution; Gibbsite; Tailings; Chemistry; Acid mine drainage; Geochemical modeling; Environmental chemistry; Mineralogy; Geology; Kaolinite; Calcite","score_opus":0.039222948712851105,"score_gpt":0.3065935321118956,"score_spread":0.2673705833990445,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1619650499","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9944695,0.000017068975,0.0015696752,0.0004846948,0.0000107115075,0.00030241357,0.0000018674667,0.000030655254,0.0031133653],"genre_scores_gemma":[0.99868405,0.000035493715,0.00083356135,0.000011868594,0.00001988794,0.000039146365,0.000026764394,0.000012816985,0.00033641228],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99852955,0.00008423618,0.00030403718,0.000248016,0.0005236722,0.00031051383],"domain_scores_gemma":[0.9996644,0.000014423953,0.000030369734,0.00019207814,0.00003444009,0.00006425731],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00073128135,0.00008264907,0.00012089971,0.00023658274,0.00008828432,0.000010214791,0.00019140028,0.00007585358,0.00018823301],"category_scores_gemma":[0.000028058392,0.000060864866,0.000040166913,0.00032634652,0.00015140377,0.00018059346,0.00007478771,0.00023960492,0.000045787896],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000048335893,0.00016490353,0.001962047,0.00002099034,0.0000033218985,0.000011279602,0.013942535,0.060110085,0.9235341,0.000026017984,0.0000056554436,0.00017071364],"study_design_scores_gemma":[0.00048383954,0.00008758625,0.0012714155,0.000057550984,0.0000032148491,0.0000032825735,0.0009469948,0.013301118,0.9796411,0.0015431156,0.0025468948,0.00011388531],"about_ca_topic_score_codex":0.009878462,"about_ca_topic_score_gemma":0.0006272269,"teacher_disagreement_score":0.056106985,"about_ca_system_score_codex":0.00018637901,"about_ca_system_score_gemma":0.000005977656,"threshold_uncertainty_score":0.99671483},"labels":[],"label_agreement":null},{"id":"W1620059389","doi":"10.1029/2002wr001801","title":"Transport behavior in three‐dimensional fracture intersections","year":2003,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Groundwater flow and contamination studies","field":"Environmental Science","cited_by":57,"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; Korea Science and Engineering Foundation; European Commission","keywords":"Intersection (aeronautics); Flow (mathematics); Fracture (geology); Mechanics; Geology; Boundary (topology); Complex fracture; Geotechnical engineering; Mathematics; Physics; Engineering; Transport engineering; Mathematical analysis","score_opus":0.03593854861679196,"score_gpt":0.2987144160183096,"score_spread":0.26277586740151765,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1620059389","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99306107,0.000029117347,0.00020514311,0.00036741266,0.00005022261,0.00023555224,0.0000018769238,0.00001961404,0.0060299914],"genre_scores_gemma":[0.988304,0.0000017343036,0.0000639283,0.000085997795,0.000016504444,0.00014068683,0.000006285442,0.000011724953,0.011369113],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9982366,0.00015835701,0.00017656095,0.00031412372,0.00063800154,0.00047633878],"domain_scores_gemma":[0.99966365,0.00003684117,0.000009653592,0.00019010033,0.000020724561,0.00007905233],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00074252364,0.000103726474,0.0001105597,0.00014991002,0.00028165343,0.000031432046,0.00018315208,0.000066950546,0.0051631727],"category_scores_gemma":[0.0000130819635,0.00006960739,0.00004777363,0.0002555259,0.0002596027,0.00013148958,0.00009717435,0.00037329883,0.0009475223],"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":[0.000038686747,0.0002579724,0.9754243,0.000005571324,0.000011033057,0.000103516126,0.007889569,0.00056177273,0.012081846,0.000024168201,0.0007010385,0.0029005215],"study_design_scores_gemma":[0.000343891,0.000080786245,0.61417186,0.0000076167184,0.0000045559923,0.000013995343,0.00055093813,0.00005291661,0.007525075,0.00020066455,0.37691173,0.0001359657],"about_ca_topic_score_codex":0.0019763303,"about_ca_topic_score_gemma":0.0056670043,"teacher_disagreement_score":0.3762107,"about_ca_system_score_codex":0.00014034318,"about_ca_system_score_gemma":0.0000037572772,"threshold_uncertainty_score":0.99983037},"labels":[],"label_agreement":null},{"id":"W1621197461","doi":"10.1029/2010wr009656","title":"Functional model of water balance variability at the catchment scale: 2. Elasticity of fast and slow runoff components to precipitation change in the continental United States","year":2011,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":78,"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":"University of British Columbia; National Science Foundation","keywords":"Streamflow; Surface runoff; Precipitation; Water balance; Environmental science; Hydrology (agriculture); Drainage basin; Geology; Meteorology; Geography; Ecology","score_opus":0.06600853100539766,"score_gpt":0.27477924537742876,"score_spread":0.2087707143720311,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1621197461","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9968552,0.0000050895105,0.00010198843,0.0016699666,0.00001859406,0.0005831771,0.000021587237,0.0000042493866,0.00074017124],"genre_scores_gemma":[0.99915016,0.000012266353,0.000043538854,0.00013216087,0.000008338596,0.00012496478,0.000044607055,0.0000045806855,0.00047935898],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99828553,0.00047379063,0.00020205378,0.00023766317,0.00047017622,0.00033076346],"domain_scores_gemma":[0.99959934,0.00011067564,0.000024039748,0.00020403543,0.000026370188,0.00003555036],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002023678,0.00009222425,0.00012441662,0.00008068379,0.0002217886,0.000009380791,0.00025405464,0.000033750122,0.00025814158],"category_scores_gemma":[0.00001497227,0.000039915067,0.00002036399,0.00013345014,0.0007532823,0.00007566584,0.00086266466,0.00013478739,0.000043128493],"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":[0.0007172167,0.00030116155,0.77511656,0.00004830253,0.000032696797,0.0000013319643,0.18915518,0.008168237,0.025816157,0.000014486264,0.000452589,0.00017608162],"study_design_scores_gemma":[0.00046866044,0.00019075663,0.9412999,0.000016524174,0.000012191897,7.811397e-7,0.0013307458,0.027128443,0.027858093,0.0007576292,0.000847879,0.00008838766],"about_ca_topic_score_codex":0.003637104,"about_ca_topic_score_gemma":0.00043806413,"teacher_disagreement_score":0.18782443,"about_ca_system_score_codex":0.000053407453,"about_ca_system_score_gemma":7.317004e-7,"threshold_uncertainty_score":0.54982376},"labels":[],"label_agreement":null},{"id":"W1622715315","doi":"10.1029/2002wr001797","title":"Radiogenic helium in shallow groundwater within a clay till, southwestern Ontario","year":2003,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Radioactivity and Radon Measurements","field":"Health Professions","cited_by":25,"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":"Radiogenic nuclide; Geology; Groundwater; Aquifer; Pore water pressure; Diffusion; Geomorphology; Helium; Hydrology (agriculture); Geochemistry; Mineralogy; Soil science; Geotechnical engineering; Mantle (geology); Chemistry; Thermodynamics","score_opus":0.19146221642277392,"score_gpt":0.421288295238302,"score_spread":0.2298260788155281,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1622715315","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96849674,0.00014884546,0.000017845152,0.00053062104,0.0004844547,0.001197151,0.0000036148251,0.000060796247,0.029059941],"genre_scores_gemma":[0.9295681,0.00001567895,0.000117370095,0.00023075113,0.00019366975,0.00028111745,0.000014452009,0.00006553757,0.06951331],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9902092,0.0047411714,0.00075314706,0.00072312,0.0015166893,0.0020566361],"domain_scores_gemma":[0.9983376,0.00026389034,0.00007743532,0.0007540997,0.00021020201,0.00035676418],"candidate_categories":["research_integrity","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00864412,0.00028699878,0.0004489367,0.00071823876,0.0011503852,0.000095416115,0.0005744373,0.00043268,0.0028154128],"category_scores_gemma":[0.0001493732,0.00019115084,0.000116811294,0.00041921897,0.00022987188,0.0002823965,0.00022513175,0.003010903,0.003311899],"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":[0.00042349272,0.00037783963,0.7805224,0.00020613121,0.00008286555,0.00017452125,0.19365306,0.000054429853,0.023427846,0.000080670754,0.00086502446,0.00013171996],"study_design_scores_gemma":[0.00676792,0.00064005307,0.12963563,0.0007484491,0.000028378814,0.00004547007,0.013369956,0.0000909946,0.015886543,0.0013025525,0.83053553,0.0009485064],"about_ca_topic_score_codex":0.04282133,"about_ca_topic_score_gemma":0.24632737,"teacher_disagreement_score":0.82967055,"about_ca_system_score_codex":0.0013030994,"about_ca_system_score_gemma":0.00036040597,"threshold_uncertainty_score":0.9992892},"labels":[],"label_agreement":null},{"id":"W1623304261","doi":"10.1029/2011wr011595","title":"Influence of permafrost distribution on groundwater flow in the context of climate‐driven permafrost thaw: Example from Yukon Flats Basin, Alaska, United States","year":2012,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":335,"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":"Permafrost; Groundwater; Groundwater flow; Hydrology (agriculture); Climate change; Structural basin; Geology; Hydrogeology; Environmental science; Geomorphology; Aquifer; Oceanography","score_opus":0.0643644458461423,"score_gpt":0.2920307293993174,"score_spread":0.2276662835531751,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1623304261","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.960402,0.0002686477,9.901464e-7,0.0004103228,0.000065190936,0.0004321418,0.0379993,0.00001290041,0.0004085045],"genre_scores_gemma":[0.93205154,0.0005114743,0.0000054462876,0.00023116845,0.00014629765,0.000010796717,0.06698773,0.000011517177,0.00004400707],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9958467,0.0009882309,0.0005420531,0.00036171242,0.0010959526,0.00116536],"domain_scores_gemma":[0.997927,0.0010474159,0.000093383525,0.0005438833,0.00021229187,0.00017600418],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0020788594,0.00024869124,0.00037659082,0.0003292225,0.00030263522,0.00012616099,0.00069164106,0.00015589256,0.0035086954],"category_scores_gemma":[0.000053660224,0.00014170872,0.00009126795,0.000563849,0.00055643043,0.00039987732,0.00012100335,0.00053121074,0.00034306367],"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":[0.0005294523,0.00014720733,0.93240184,0.00007384452,0.00001911603,0.000012524282,0.060891345,0.0018998253,0.0027936604,0.000008457853,0.0005661199,0.00065659365],"study_design_scores_gemma":[0.00066814316,0.0003812426,0.9455194,0.00014575238,0.000013068055,0.000006507238,0.013627042,0.0027332767,0.008172472,0.00004657478,0.028475376,0.00021116452],"about_ca_topic_score_codex":0.10226548,"about_ca_topic_score_gemma":0.02636007,"teacher_disagreement_score":0.075905405,"about_ca_system_score_codex":0.000022262488,"about_ca_system_score_gemma":0.00001402841,"threshold_uncertainty_score":0.99740225},"labels":[],"label_agreement":null},{"id":"W1624285037","doi":"10.1002/wrcr.20089","title":"Modeling increases in snowmelt yield and desynchronization resulting from forest gap‐thinning treatments in a northern mountain headwater basin","year":2013,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":99,"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 Saskatchewan","funders":"Natural Sciences and Engineering Research Council of Canada; University of British Columbia; Canada Research Chairs; Canadian Foundation for Climate and Atmospheric Sciences; University of Calgary","keywords":"Snowmelt; Thinning; Snow; Hydrology (agriculture); Environmental science; Structural basin; Drainage basin; Water year; Physical geography; Geology; Forestry; Geomorphology; Geography; Cartography","score_opus":0.06881424269098235,"score_gpt":0.27614487439804764,"score_spread":0.20733063170706528,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1624285037","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9979731,0.0007601431,0.000045175984,0.0004749758,0.000014180163,0.00039322505,0.000014988826,0.00001917522,0.00030502875],"genre_scores_gemma":[0.99900275,0.00012096231,0.00043005912,0.000062045256,0.00007249455,0.000025261445,0.00015010804,0.000009044657,0.00012724088],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99812245,0.00019504898,0.0003229778,0.0003775892,0.00036947953,0.0006124726],"domain_scores_gemma":[0.99928284,0.00034723937,0.00002047654,0.00016799907,0.00008453192,0.0000969455],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00065238494,0.0001404986,0.00019295816,0.00017198724,0.00032461487,0.00024260784,0.00016406755,0.00007705924,0.00039510592],"category_scores_gemma":[0.00018100222,0.00009580907,0.00002135446,0.0003687765,0.00008332679,0.00031319997,0.00008740016,0.00025755694,0.00009278124],"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":[0.000042868407,0.00002576971,0.94723654,0.0000103198045,0.000010785369,0.000015808197,0.0051218458,0.039975107,0.00009611201,6.403931e-7,0.0000124800035,0.007451698],"study_design_scores_gemma":[0.00036861625,0.000052921427,0.6684429,0.00009047994,0.0000024301878,9.744617e-7,0.0028941813,0.32734156,0.000038757255,0.0005068432,0.00016091183,0.0000994369],"about_ca_topic_score_codex":0.65362316,"about_ca_topic_score_gemma":0.44914708,"teacher_disagreement_score":0.28736645,"about_ca_system_score_codex":0.00004343547,"about_ca_system_score_gemma":0.000015393724,"threshold_uncertainty_score":0.56090456},"labels":[],"label_agreement":null},{"id":"W1624356652","doi":"10.1029/2003wr002456","title":"Multivariate hydrological frequency analysis using copulas","year":2004,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Drought Analysis","field":"Environmental Science","cited_by":703,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Hydro-Québec; Institut National de la Recherche Scientifique","funders":"","keywords":"Copula (linguistics); Multivariate statistics; Watershed; Range (aeronautics); Hydrology (agriculture); Marginal distribution; Frequency analysis; Econometrics; Multivariate analysis; Tail dependence; Mathematics; Statistics; Environmental science; Computer science; Geology; Random variable; Geotechnical engineering; Engineering","score_opus":0.058303402087046784,"score_gpt":0.34185525596021415,"score_spread":0.2835518538731674,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1624356652","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99072313,0.000035269604,0.0010071736,0.0006121479,0.000017155615,0.0001305637,0.000002870627,0.00007195547,0.0073997206],"genre_scores_gemma":[0.9973859,0.0000052114324,0.001733113,0.00011143396,0.00005685076,0.000014723291,0.000014018144,0.000017631619,0.00066109526],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9967493,0.00053803873,0.0002882229,0.0006335278,0.00084591133,0.00094500545],"domain_scores_gemma":[0.9991544,0.00006340697,0.00003194665,0.000507831,0.000021935002,0.0002204857],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0017099116,0.00016263063,0.0003033228,0.0003698592,0.00065835426,0.00007647349,0.00058264984,0.00020658497,0.006162105],"category_scores_gemma":[0.00007227188,0.00010410909,0.00021816096,0.0016558857,0.0007911373,0.00016664054,0.00059483806,0.0005193428,0.003490519],"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":[0.00011622683,0.00035591403,0.43657908,0.0000063276048,0.0007120343,0.0004255934,0.008260466,0.4278816,0.12510449,0.00013182116,0.000053941356,0.00037251602],"study_design_scores_gemma":[0.0068464577,0.0016994852,0.37105778,0.000049058945,0.0029402762,0.00016152163,0.0013015657,0.2752351,0.13365549,0.14818077,0.05549346,0.0033790553],"about_ca_topic_score_codex":0.012669788,"about_ca_topic_score_gemma":0.0009875514,"teacher_disagreement_score":0.15264651,"about_ca_system_score_codex":0.00026906474,"about_ca_system_score_gemma":0.0000067253745,"threshold_uncertainty_score":0.99728537},"labels":[],"label_agreement":null},{"id":"W1625390631","doi":"10.1029/2012wr011890","title":"Scaling relationships for event water contributions and transit times in small‐forested catchments in Eastern Quebec","year":2012,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":59,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McGill University; Nipissing University","funders":"","keywords":"Hydrograph; Environmental science; Hydrology (agriculture); Storm; Drainage basin; Surface runoff; Antecedent moisture; Catchment hydrology; Runoff model; Snowmelt; Hydrological modelling; Climatology; Geology; Runoff curve number; Meteorology; Geography","score_opus":0.0575623829486286,"score_gpt":0.31770624145560517,"score_spread":0.2601438585069766,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1625390631","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9948885,0.0000848646,0.0001913052,0.0032315436,0.00002708845,0.00069394114,0.0000050889466,0.000013658833,0.00086401956],"genre_scores_gemma":[0.9950138,0.000012919241,0.00005586459,0.000041962376,0.000029762525,0.00022254334,0.000032728338,0.000010453631,0.00458001],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9979869,0.00039972755,0.0002404624,0.00026432757,0.00019925403,0.00090931915],"domain_scores_gemma":[0.9996007,0.0001338936,0.00001157255,0.00014199971,0.000010565442,0.00010127566],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027974965,0.000112332724,0.00015080716,0.0001883631,0.00037792942,0.000037624664,0.0001550071,0.0000959883,0.00014780382],"category_scores_gemma":[0.00004652978,0.0000718729,0.000028663746,0.00012277698,0.00028592747,0.00020485187,0.00032789016,0.00030711893,0.00025313674],"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":[0.00012666914,0.00013935994,0.96466905,0.000029599934,0.000020520309,0.0000056012564,0.031293813,0.0014686263,0.001478939,0.00005727517,0.00012494136,0.0005855906],"study_design_scores_gemma":[0.0033317017,0.0001366907,0.8903954,0.000096311436,0.000029065677,0.000004146768,0.0031127979,0.004989425,0.01466726,0.003927213,0.078865446,0.00044453164],"about_ca_topic_score_codex":0.006118065,"about_ca_topic_score_gemma":0.013736331,"teacher_disagreement_score":0.07874051,"about_ca_system_score_codex":0.0001671057,"about_ca_system_score_gemma":0.0000017257576,"threshold_uncertainty_score":0.9248725},"labels":[],"label_agreement":null},{"id":"W1625564471","doi":"10.1029/2002wr001684","title":"Effective constitutive properties for dense nonaqueous phase liquid (DNAPL) migration in large fracture networks: A computational study","year":2003,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Groundwater flow and contamination studies","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":"Queen's University","funders":"","keywords":"Capillary pressure; Saturation (graph theory); Mechanics; Porous medium; Compressibility; Capillary action; Permeability (electromagnetism); Relative permeability; Multiphase flow; Materials science; Two-phase flow; Flow (mathematics); Aperture (computer memory); Geology; Geotechnical engineering; Porosity; Mathematics; Physics; Chemistry; Composite material","score_opus":0.02888239456902696,"score_gpt":0.3179127282863185,"score_spread":0.28903033371729153,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1625564471","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97080123,0.000113609916,0.026053919,0.00023295017,0.000031061038,0.002434762,0.0000076008855,0.00002232608,0.0003025208],"genre_scores_gemma":[0.99707854,0.00000321439,0.00007228044,0.00010536234,0.00003611551,0.0010892069,0.000022215985,0.000014037317,0.0015790346],"study_design_codex":"qualitative","study_design_gemma":"not_applicable","domain_scores_codex":[0.9974297,0.00076003023,0.00024002489,0.00042660246,0.0005766502,0.0005669504],"domain_scores_gemma":[0.9994196,0.00024025525,0.00002881736,0.00014323417,0.00009775839,0.000070313385],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017187264,0.00015861567,0.00019675952,0.00013965822,0.00055863516,0.00011313859,0.00016153834,0.00006684796,0.00015100082],"category_scores_gemma":[0.00013033427,0.0001042471,0.000045734647,0.00024354819,0.00030222483,0.00018967567,0.00015158093,0.0002622961,0.00009824794],"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":[0.008228096,0.009938968,0.28458083,0.0001222409,0.0004117457,0.00027144607,0.37909403,0.29201767,0.009150881,0.0002481651,0.0031295877,0.0128063215],"study_design_scores_gemma":[0.027041554,0.011769557,0.057357952,0.00017099066,0.00007802925,0.000047679885,0.048884075,0.09453405,0.035393607,0.00067163765,0.72259724,0.001453647],"about_ca_topic_score_codex":0.00041053884,"about_ca_topic_score_gemma":0.0018424578,"teacher_disagreement_score":0.71946764,"about_ca_system_score_codex":0.0002369523,"about_ca_system_score_gemma":0.000011379067,"threshold_uncertainty_score":0.42966264},"labels":[],"label_agreement":null},{"id":"W1625781166","doi":"10.1029/2008wr006848","title":"Regional groundwater flow in mountainous terrain: Three‐dimensional simulations of topographic and hydrogeologic controls","year":2008,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":282,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Water table; Groundwater recharge; Geology; Hydrogeology; Groundwater flow; Elevation (ballistics); Groundwater; Hydrology (agriculture); Terrain; Flow (mathematics); Geomorphology; Aquifer; Geography; Geometry; Geotechnical engineering","score_opus":0.04401447170204945,"score_gpt":0.2777513248083834,"score_spread":0.23373685310633394,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1625781166","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99622077,0.000095109936,0.00001409589,0.001999819,0.000013317949,0.00032193522,0.000001987122,0.000015592574,0.0013174011],"genre_scores_gemma":[0.9989358,0.00002832066,0.00010872673,0.00018031933,0.000020357978,0.00003542645,0.000012503051,0.000008529582,0.00067001936],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99808383,0.00024452776,0.0002443439,0.00036502111,0.00051518274,0.0005470717],"domain_scores_gemma":[0.9995318,0.0001538669,0.000023553906,0.0002069403,0.000017986124,0.000065868044],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00075998023,0.00012687549,0.00020967571,0.00026057957,0.0004288295,0.000011843534,0.00021418591,0.00008895214,0.00065521203],"category_scores_gemma":[0.000022521952,0.000083056264,0.000042182543,0.00023112046,0.0018637284,0.00012836604,0.00059879426,0.00025554805,0.000082757426],"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":[0.00026378347,0.00022941451,0.9590856,0.00001610582,0.000049165723,0.0001265753,0.0059713167,0.030304464,0.003276895,0.000037978076,0.00038073113,0.00025799585],"study_design_scores_gemma":[0.0030187469,0.0009892272,0.87827635,0.00003618828,0.000019019499,0.000092795955,0.00028966749,0.07003798,0.0013813919,0.018671997,0.02671438,0.00047225604],"about_ca_topic_score_codex":0.0017774411,"about_ca_topic_score_gemma":0.0013684673,"teacher_disagreement_score":0.080809236,"about_ca_system_score_codex":0.0000417593,"about_ca_system_score_gemma":0.0000025621246,"threshold_uncertainty_score":0.7174112},"labels":[],"label_agreement":null},{"id":"W1626096478","doi":"10.1029/2007wr006208","title":"Use of groundwater lifetime expectancy for the performance assessment of a deep geologic waste repository: 1. Theory, illustrations, and implications","year":2008,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Groundwater flow and contamination 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":"University of Waterloo","funders":"","keywords":"Biosphere; Radioactive waste; Radionuclide; Groundwater; Boundary (topology); Expectancy theory; Groundwater pollution; Function (biology); Leakage (economics)","score_opus":0.05843730942016823,"score_gpt":0.30392743950886286,"score_spread":0.24549013008869464,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1626096478","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9938027,0.00011680303,0.004504004,0.0005214316,0.000017903047,0.00049906695,0.0000034821337,0.000009497637,0.0005251044],"genre_scores_gemma":[0.99260503,0.00010280873,0.00042979073,0.000017297747,0.000026267546,0.00029368929,0.000004946075,0.000008419109,0.006511768],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986272,0.00020746938,0.00027129333,0.00023323699,0.00037803678,0.0002827999],"domain_scores_gemma":[0.9990987,0.00038328252,0.000055934222,0.00033177712,0.00009030211,0.00004001321],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007452427,0.00009182881,0.0001408256,0.00006492105,0.00080334424,0.000039447932,0.00025213632,0.000040913594,0.00008595384],"category_scores_gemma":[0.000025771782,0.000048696704,0.00004498661,0.00013181721,0.0010566791,0.00019003445,0.00032555396,0.000110479086,0.0000061811597],"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":[0.0001486405,0.00030929604,0.8379314,0.000091163405,0.00014405482,0.0000032777664,0.029300613,0.0014269738,0.11541364,0.0005766448,0.00062085345,0.014033448],"study_design_scores_gemma":[0.00044628588,0.0006143983,0.91027135,0.000018376442,0.00003111359,0.000038019352,0.0025373527,0.010916317,0.05318543,0.00023663946,0.021526204,0.00017851133],"about_ca_topic_score_codex":0.0002444101,"about_ca_topic_score_gemma":0.000038874183,"teacher_disagreement_score":0.07233996,"about_ca_system_score_codex":0.00004399083,"about_ca_system_score_gemma":0.0000058327573,"threshold_uncertainty_score":0.6178756},"labels":[],"label_agreement":null},{"id":"W1626255624","doi":"10.1029/2002wr001680","title":"Mapping evapotranspiration based on remote sensing: An application to Canada's landmass","year":2003,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":175,"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 Toronto","funders":"","keywords":"Evapotranspiration; Environmental science; Transpiration; Snow; Canopy; Precipitation; Hydrology (agriculture); Permafrost; Leaf area index; Atmospheric sciences; Taiga; Understory; Forestry; Geography; Meteorology; Geology; Ecology","score_opus":0.023442194156202398,"score_gpt":0.26077315046017885,"score_spread":0.23733095630397644,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1626255624","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9626156,0.0000016730773,0.015795672,0.000915066,0.000025613655,0.00039884474,0.000007936172,0.000028742688,0.020210855],"genre_scores_gemma":[0.9970772,6.4816396e-7,0.0014086495,0.0003326605,0.000022202777,0.0000052203213,0.00005466364,0.000016333088,0.001082374],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9979166,0.00030335723,0.00015297026,0.00036469568,0.00082079606,0.0004416099],"domain_scores_gemma":[0.99935144,0.00003682201,0.000014641801,0.00037743847,0.000023268118,0.0001964146],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009465118,0.00010222656,0.00008300662,0.00012245352,0.00030240987,0.00007835745,0.0001894885,0.000060586357,0.00011907776],"category_scores_gemma":[0.000021640759,0.000077491364,0.00001832384,0.0003330155,0.000044596596,0.00004712226,0.00003475473,0.00021395684,0.0001863858],"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":[0.000096889606,0.000067771056,0.007738722,0.000019817502,0.000008468956,0.000044530043,0.0037144597,0.81024647,0.12139194,0.000046585723,0.000291221,0.056333132],"study_design_scores_gemma":[0.00019426885,0.00008684791,0.0018355228,0.000013355672,0.0000016636646,0.000003951414,0.000056949488,0.66651106,0.0097729135,0.00024124143,0.32111654,0.00016570301],"about_ca_topic_score_codex":0.20598207,"about_ca_topic_score_gemma":0.28059006,"teacher_disagreement_score":0.3208253,"about_ca_system_score_codex":0.0003575494,"about_ca_system_score_gemma":0.000023717053,"threshold_uncertainty_score":0.7993054},"labels":[],"label_agreement":null},{"id":"W1627096583","doi":"10.1029/2005wr003971","title":"Bayesian neural network for rainfall‐runoff modeling","year":2006,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrological Forecasting Using AI","field":"Environmental Science","cited_by":154,"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":"Posterior probability; Artificial neural network; Bayesian probability; Gaussian; Bayesian linear regression; Conjugate prior; Prior probability; Computer science; Bayes' theorem; Bayesian hierarchical modeling; Bayesian network; Bayesian experimental design; Statistics; Mathematics; Bayesian inference; Artificial intelligence","score_opus":0.059830166891381,"score_gpt":0.30927526635414915,"score_spread":0.24944509946276816,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1627096583","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9845018,0.000033052744,0.002505347,0.0011884422,0.000059393038,0.00040930705,0.000004232786,0.00010338836,0.011195084],"genre_scores_gemma":[0.99237394,8.5741743e-7,0.003217111,0.00013520451,0.0005219322,0.00006694081,0.00002907871,0.000035729012,0.003619231],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9968947,0.00024032625,0.00026680593,0.00051184435,0.00070887414,0.0013774186],"domain_scores_gemma":[0.9993517,0.00013993664,0.000019650455,0.00032163173,0.000024841447,0.00014227911],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019935456,0.00015206242,0.0001644888,0.000061624494,0.0007472136,0.00016938751,0.0005242942,0.000120204066,0.00080058246],"category_scores_gemma":[0.00007337459,0.000101471254,0.00008911747,0.00027730246,0.00032833114,0.000101386424,0.0005143776,0.00036386377,0.00032162052],"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":[0.00007126805,0.00003387808,0.0042870766,0.000007679145,0.000003500913,0.000011393432,0.0003090659,0.9855541,0.003483825,0.000020454909,0.004399923,0.0018178377],"study_design_scores_gemma":[0.0002344809,0.00013154406,0.00024333996,0.000009618552,0.000002939552,0.0000060355405,0.000007573031,0.9070616,0.0004849435,0.011442397,0.08022204,0.00015348777],"about_ca_topic_score_codex":0.0020331522,"about_ca_topic_score_gemma":0.00021464322,"teacher_disagreement_score":0.07849249,"about_ca_system_score_codex":0.000121814664,"about_ca_system_score_gemma":0.0000031385287,"threshold_uncertainty_score":0.87658167},"labels":[],"label_agreement":null},{"id":"W1627400990","doi":"10.1029/2004wr003407","title":"Parameter estimation using the falling head infiltration model: Simulation and field experiment","year":2005,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Soil and Unsaturated Flow","field":"Engineering","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":"University of Saskatchewan","funders":"","keywords":"Infiltration (HVAC); Hydraulic conductivity; Hydraulic head; Uniqueness; Soil science; Environmental science; Estimation theory; Inverse; Mathematics; Geotechnical engineering; Geology; Statistics; Soil water; Meteorology; Mathematical analysis; Geometry; Physics","score_opus":0.09587516701539306,"score_gpt":0.36472115037666597,"score_spread":0.2688459833612729,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1627400990","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96622133,0.00022881705,0.032700628,0.00027071522,0.00002290837,0.00015815753,5.035504e-7,0.000071553666,0.0003254017],"genre_scores_gemma":[0.9967632,0.000013237369,0.0029634149,0.000035227942,0.00011232693,0.000016865282,0.0000055052237,0.000016251177,0.00007391228],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991644,0.00005736366,0.000137906,0.00011983215,0.00026907556,0.00025140314],"domain_scores_gemma":[0.99961853,0.00014694664,0.0000066108837,0.0001426329,0.00004534883,0.000039904433],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031592872,0.00007959274,0.00006396341,0.00009596537,0.000199743,0.00017587298,0.000077974095,0.00007425176,0.000016498876],"category_scores_gemma":[0.000026451047,0.000049029386,0.000017217611,0.00008730899,0.000032416443,0.00019182944,0.000032381642,0.0002410818,0.000011050005],"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":[0.0000145897,0.0000047554863,0.00005818882,0.000011615073,0.0000072838707,3.7390336e-7,0.005422382,0.95690656,0.020331725,0.00000707372,0.000022598722,0.017212857],"study_design_scores_gemma":[0.00010087835,0.000018993469,0.00002462303,0.000017256845,0.000002670591,0.0000013825353,0.00012272998,0.9198095,0.07843406,0.00014892919,0.0012532385,0.000065694796],"about_ca_topic_score_codex":0.00004756802,"about_ca_topic_score_gemma":0.000014526297,"teacher_disagreement_score":0.05810233,"about_ca_system_score_codex":0.000049027978,"about_ca_system_score_gemma":0.000003178301,"threshold_uncertainty_score":0.19993603},"labels":[],"label_agreement":null},{"id":"W1627787412","doi":"10.1029/2006wr005201","title":"Carbon export and cycling by the Yukon, Tanana, and Porcupine rivers, Alaska, 2001–2005","year":2007,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":244,"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":"Kempe Foundation","keywords":"Dissolved organic carbon; Permafrost; Meltwater; Carbon cycle; Total organic carbon; Precipitation; Particulates; Environmental chemistry; Glacial period; Carbon fibers; Hydrology (agriculture); Surface water; Environmental science; Geology; Oceanography; Chemistry; Geomorphology; Ecology; Ecosystem","score_opus":0.060467406212213484,"score_gpt":0.29893196556589163,"score_spread":0.23846455935367816,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1627787412","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9845786,0.004861458,0.0000010156846,0.0014360759,0.000055058183,0.00019898383,0.00018976376,0.000016548838,0.008662515],"genre_scores_gemma":[0.9938696,0.001480131,0.000014066072,0.00019190565,0.0002655336,0.0000013563628,0.0004419335,0.000007848716,0.0037276146],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99772966,0.00013405587,0.00020223507,0.00033990628,0.00055566395,0.0010384818],"domain_scores_gemma":[0.99913687,0.00026153694,0.000025198755,0.00022359754,0.000046217094,0.00030656144],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0031885544,0.00013717586,0.0001508897,0.00015592403,0.00047937135,0.00017762001,0.00023501278,0.00009007674,0.0027071307],"category_scores_gemma":[0.000029850687,0.00007590153,0.000023307217,0.00016431503,0.00036242092,0.000097426746,0.00008691163,0.00035076065,0.00005722355],"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":[0.000122041434,0.000013371406,0.9615977,0.00003629288,0.000021541142,0.00011925763,0.008093764,0.0000070647684,0.0051809093,0.0000014176223,0.013624798,0.011181855],"study_design_scores_gemma":[0.0006536982,0.0002935517,0.38784832,0.000050370847,0.000017007544,0.00013644701,0.0056933435,0.0023014264,0.0050690193,0.00023478025,0.5973311,0.00037090882],"about_ca_topic_score_codex":0.026296536,"about_ca_topic_score_gemma":0.025809025,"teacher_disagreement_score":0.5837063,"about_ca_system_score_codex":0.000007909816,"about_ca_system_score_gemma":0.000008704045,"threshold_uncertainty_score":0.9982045},"labels":[],"label_agreement":null},{"id":"W1631167389","doi":"10.1029/2001wr000606","title":"Differentiating sources of dissolved lead in mine waters using lead isotope techniques, Sullivan Mine, British Columbia","year":2003,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Heavy metals in environment","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":true,"ca_institutions":"University of British Columbia; Simon Fraser University","funders":"","keywords":"Radiogenic nuclide; Geology; Geochemistry; Isotope analysis; Isotope; Isotopic signature; Homogeneous; Groundwater recharge; Acid mine drainage; Sediment; Lead (geology); Environmental chemistry; Groundwater; Mineralogy; Aquifer; Geomorphology; Chemistry; Oceanography","score_opus":0.0418011172907971,"score_gpt":0.2950187573059111,"score_spread":0.253217640015114,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1631167389","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9956648,0.00013144284,0.000074085336,0.00006603825,0.000039346527,0.00075959513,0.000011309084,0.00003949834,0.0032138966],"genre_scores_gemma":[0.9872856,0.000048555823,0.004663229,0.000024176325,0.000034237437,0.000072245646,0.0000123354275,0.000068146575,0.0077914395],"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9946084,0.001081525,0.0007338026,0.0007770011,0.0014461027,0.0013531434],"domain_scores_gemma":[0.9989274,0.00014136251,0.00009186722,0.00062880316,0.000019691886,0.00019088993],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002924362,0.00022450402,0.00045621576,0.00016469504,0.00032627894,0.00023437223,0.0006655022,0.00018720966,0.002687358],"category_scores_gemma":[0.00021973957,0.00023915859,0.000108420645,0.0004763852,0.0011072689,0.0002139372,0.0007265898,0.00057945173,0.00011502211],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001883272,0.00028650774,0.661492,0.000063632586,0.00001475702,0.000070756236,0.0022647637,0.00037116377,0.33073378,5.389218e-7,0.00030365304,0.0043796604],"study_design_scores_gemma":[0.0012469306,0.00043618318,0.25423765,0.0004849516,0.00002602894,0.000090798676,0.0021917515,0.001762868,0.6746626,0.00027421914,0.06362669,0.0009593561],"about_ca_topic_score_codex":0.065984644,"about_ca_topic_score_gemma":0.017906653,"teacher_disagreement_score":0.40725434,"about_ca_system_score_codex":0.000439008,"about_ca_system_score_gemma":0.000009161312,"threshold_uncertainty_score":0.99923325},"labels":[],"label_agreement":null},{"id":"W1631784209","doi":"10.1029/2001wr000753","title":"Mobility of bed material in Harris Creek","year":2002,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Sediment Transport Processes","field":"Environmental Science","cited_by":146,"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 British Columbia","funders":"","keywords":"Geology; Hydrology (agriculture); Geotechnical engineering; Geomorphology","score_opus":0.04234709326665848,"score_gpt":0.2856278477105906,"score_spread":0.2432807544439321,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1631784209","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98702145,0.000025673418,0.0000012792545,0.0002824657,0.000020849731,0.00016943266,0.000006953889,0.00001393931,0.012457931],"genre_scores_gemma":[0.9982063,0.000020455098,0.00003519911,0.00002364779,0.000019250721,0.000028578042,0.0000057767365,0.000007540264,0.0016532618],"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9983469,0.00019564283,0.00023009174,0.00028461084,0.00048026626,0.0004624344],"domain_scores_gemma":[0.99962926,0.00004148577,0.000014064878,0.00023492018,0.000010001334,0.00007024802],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0010536902,0.00007112727,0.00013985582,0.000074515585,0.00009581644,0.000021014444,0.00034936238,0.00008960958,0.05092186],"category_scores_gemma":[0.000020969788,0.00005385051,0.00002748644,0.00021411481,0.00060370873,0.00011706216,0.00015238559,0.00021944377,0.00067702483],"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":[0.00027605655,0.0007364613,0.8501254,0.00010172101,0.000013340757,0.00008608801,0.01704535,0.00064948323,0.12655142,0.000005004751,0.0013450135,0.0030646974],"study_design_scores_gemma":[0.0015417937,0.0007264559,0.1895634,0.00004378375,0.0000089203195,0.000008587917,0.0004315149,0.0019199278,0.6269483,0.0022964857,0.17611082,0.0004000247],"about_ca_topic_score_codex":0.002891071,"about_ca_topic_score_gemma":0.0006884957,"teacher_disagreement_score":0.660562,"about_ca_system_score_codex":0.000037348265,"about_ca_system_score_gemma":0.0000013394268,"threshold_uncertainty_score":0.94994575},"labels":[],"label_agreement":null},{"id":"W1632223087","doi":"10.1029/2007wr006359","title":"Storm pulses of dissolved CO<sub>2</sub> in a forested headwater Amazonian stream explored using hydrograph separation","year":2007,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Watershed Management Studies","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":"University of British Columbia","funders":"","keywords":"Hydrograph; Storm; TRACER; Hydrology (agriculture); Amazonian; Environmental science; Drainage basin; Geology; Amazon rainforest; Oceanography; Geography","score_opus":0.049605972777518,"score_gpt":0.3358824641288051,"score_spread":0.28627649135128713,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1632223087","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9971254,0.000024718116,0.00007947191,0.00020538938,0.000028977103,0.0005274919,0.0000033937831,0.000032096417,0.0019730793],"genre_scores_gemma":[0.99960995,0.000024024528,0.0000774637,0.000029527819,0.000031444833,0.000038032173,0.00002691206,0.00002217423,0.00014047233],"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99710226,0.00027309492,0.0004210853,0.00045237364,0.00072513474,0.0010260353],"domain_scores_gemma":[0.999406,0.00008114688,0.000051303065,0.00032471775,0.000022773109,0.00011405753],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002252943,0.0001870655,0.00026018018,0.0005036599,0.0003214686,0.00004150219,0.0003341685,0.00012069511,0.00012853641],"category_scores_gemma":[0.000026059162,0.00013421482,0.000071304865,0.00041769998,0.0008186647,0.00027506935,0.0004679638,0.000295085,0.00013501961],"study_design_candidate":"bench_or_experimental","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":[0.00039268663,0.00020352105,0.63454264,0.000033275115,0.000042158306,0.00006150631,0.0128178485,0.0021522555,0.34820378,0.000006381532,0.000118993004,0.0014249571],"study_design_scores_gemma":[0.0009285347,0.00034841002,0.29745436,0.00005013391,0.000014891232,0.000003603131,0.0016826523,0.0015969402,0.6935888,0.00052124995,0.0035430475,0.00026739895],"about_ca_topic_score_codex":0.0015044237,"about_ca_topic_score_gemma":0.005453895,"teacher_disagreement_score":0.34538502,"about_ca_system_score_codex":0.0001613264,"about_ca_system_score_gemma":0.0000031735863,"threshold_uncertainty_score":0.54731214},"labels":[],"label_agreement":null},{"id":"W1632317815","doi":"10.1029/2002wr001346","title":"Fluid flow in synthetic rough‐walled fractures: Navier‐Stokes, Stokes, and local cubic law simulations","year":2003,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Groundwater flow and contamination studies","field":"Environmental Science","cited_by":458,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Stokes flow; Flow (mathematics); Mechanics; Stokes number; Fracture (geology); Kinematics; Stokes' law; Work (physics); Volumetric flow rate; Fluid dynamics; Mathematics; Physics; Geometry; Geology; Classical mechanics; Geotechnical engineering; Reynolds number; Turbulence; Thermodynamics","score_opus":0.024583289224877816,"score_gpt":0.2963822508889093,"score_spread":0.2717989616640315,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1632317815","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9891413,0.00050515763,0.0008385909,0.0005252411,0.0000406249,0.00038790354,0.0000072169764,0.00003053463,0.008523451],"genre_scores_gemma":[0.9933986,0.000039886618,0.00015933707,0.00014559916,0.00002272913,0.000063027175,0.000012672572,0.000023534856,0.0061345897],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99694717,0.0006323982,0.00030025697,0.00051848096,0.0008486804,0.0007530354],"domain_scores_gemma":[0.99922407,0.00021901437,0.000019972784,0.00035068076,0.000032876957,0.00015341146],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0011195043,0.00019485057,0.00023154335,0.00015468088,0.00061343017,0.00016151389,0.00027674864,0.00011029873,0.0015901583],"category_scores_gemma":[0.00006417759,0.00013795699,0.000043307187,0.00030791148,0.0008051368,0.00025246793,0.0003559102,0.00041301118,0.00055374875],"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":[0.00085934583,0.0024324546,0.20738937,0.0003966836,0.00035865034,0.00081477524,0.23523848,0.19509363,0.102583885,0.0038070197,0.006644744,0.24438097],"study_design_scores_gemma":[0.0011701139,0.00014359444,0.0114436885,0.000049587135,0.000011769981,0.00001967946,0.0016936772,0.014228816,0.012798199,0.001059129,0.95699763,0.00038411183],"about_ca_topic_score_codex":0.0018675948,"about_ca_topic_score_gemma":0.0029579455,"teacher_disagreement_score":0.9503529,"about_ca_system_score_codex":0.00022172128,"about_ca_system_score_gemma":0.0000068898994,"threshold_uncertainty_score":0.99932253},"labels":[],"label_agreement":null},{"id":"W1632351542","doi":"10.1029/2001wr000622","title":"Sources of iodine and iodine 129 in rivers","year":2002,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Radioactive contamination and transfer","field":"Environmental Science","cited_by":177,"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":"Iodine; Environmental science; Hydrology (agriculture); Soil water; Evapotranspiration; Environmental chemistry; Geology; Soil science; Chemistry","score_opus":0.0438602925916202,"score_gpt":0.2773810937805448,"score_spread":0.23352080118892463,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1632351542","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9671797,0.000110284986,0.00000655576,0.00082245504,0.000008482135,0.00014398192,0.000002849646,0.0000082782535,0.031717386],"genre_scores_gemma":[0.99435705,0.00010007809,0.000041416195,0.0000246955,0.000011801162,0.000009651066,0.0000012210903,0.000007610581,0.005446505],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99864614,0.00016344074,0.00014510055,0.00023719516,0.0004822924,0.00032584261],"domain_scores_gemma":[0.99968433,0.000066887274,0.00001008907,0.00014010764,0.000013108885,0.00008546919],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005603034,0.00007555412,0.00011717441,0.00018402572,0.00009079701,0.000027992543,0.0001880033,0.000045259938,0.0057457117],"category_scores_gemma":[0.000023129334,0.00005326066,0.000022899223,0.00025039646,0.0005860309,0.00011869325,0.00012914353,0.00019145093,0.00030608737],"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":[0.0001425962,0.0003227843,0.8231227,0.000050453735,0.000024346187,0.00008261637,0.043022625,0.0002807865,0.07713024,0.00007421754,0.0013072644,0.054439366],"study_design_scores_gemma":[0.002675486,0.00037963054,0.6468311,0.000044816814,0.000006791646,0.000017141398,0.0013086145,0.004636877,0.10787886,0.00038224322,0.23553681,0.00030160567],"about_ca_topic_score_codex":0.000647929,"about_ca_topic_score_gemma":0.00019173494,"teacher_disagreement_score":0.23422955,"about_ca_system_score_codex":0.00005575532,"about_ca_system_score_gemma":6.890054e-7,"threshold_uncertainty_score":0.99516314},"labels":[],"label_agreement":null},{"id":"W1634064846","doi":"10.1029/2002wr001343","title":"Two‐site modeling of rainfall based on the Neyman‐Scott process","year":2002,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Statistical Distribution Estimation and Applications","field":"Mathematics","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung","keywords":"Bivariate analysis; Plateau (mathematics); Mathematics; Process (computing); Hydrology (agriculture); Statistics; Geology; Computer science; Geotechnical engineering; Mathematical analysis","score_opus":0.25270786524994737,"score_gpt":0.4322928367696835,"score_spread":0.17958497151973613,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1634064846","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.79825103,0.000026371326,0.13608366,0.010665563,0.000016012447,0.001034473,0.00015582428,0.00011934108,0.0536477],"genre_scores_gemma":[0.99774414,0.0000020779062,0.00089852756,0.00012858519,0.000034053184,0.0001396168,0.000021744212,0.0000170554,0.0010142092],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99813086,0.00022715499,0.00028505895,0.00020474954,0.000806226,0.00034594562],"domain_scores_gemma":[0.9982018,0.00090289506,0.00003418023,0.0004347259,0.00033793648,0.00008847931],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0010179372,0.000095628304,0.00013030886,0.00012261985,0.00031055723,0.000069276466,0.00033859667,0.00004415896,0.002108626],"category_scores_gemma":[0.00080888637,0.00005339782,0.000049882765,0.00031790847,0.00019082685,0.00003331403,0.00005841504,0.0003037894,0.00044354083],"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":[0.0002410586,0.002239883,0.00038718787,0.0009527681,0.00008552789,0.000015241826,0.030553158,0.073546536,0.005067194,0.8561269,0.026618594,0.00416592],"study_design_scores_gemma":[0.00028229502,0.00003819268,0.000017106042,0.000047677473,0.000005492128,6.8234084e-7,0.00020319295,0.9515373,0.0023691985,0.042230256,0.0031963636,0.000072253795],"about_ca_topic_score_codex":0.000029030032,"about_ca_topic_score_gemma":0.000004082413,"teacher_disagreement_score":0.8779908,"about_ca_system_score_codex":0.000031153253,"about_ca_system_score_gemma":0.000008360737,"threshold_uncertainty_score":0.99880356},"labels":[],"label_agreement":null},{"id":"W1635563793","doi":"10.1029/2006wr005269","title":"Stochastic control of reservoir systems using indicator functions: New enhancements","year":2008,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Water resources management and optimization","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Discretization; Moment (physics); Inflow; Quadratic equation; Mathematical optimization; Gaussian; Nonlinear system; Current (fluid); Variable (mathematics); Random variable; Applied mathematics; State variable; Mathematics; Work (physics); Statistics; Mathematical analysis; Engineering","score_opus":0.06114626421109156,"score_gpt":0.2767148573526899,"score_spread":0.21556859314159835,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1635563793","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9244521,0.00087273924,0.072054036,0.00003228545,0.00017979414,0.0006665408,0.000009263882,0.00014588957,0.001587319],"genre_scores_gemma":[0.99418724,0.000036028378,0.00014664783,0.0000047669987,0.0002509065,0.000040931518,0.000026202393,0.000054980545,0.0052522933],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9976526,0.00016111972,0.00041068668,0.0002577924,0.00088186865,0.0006359592],"domain_scores_gemma":[0.99923784,0.000055207212,0.000039278373,0.00039082,0.00011079977,0.00016606585],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00057054753,0.00017206327,0.00026421968,0.00070372765,0.00027049272,0.000081141196,0.00039506506,0.000098149976,0.00017388909],"category_scores_gemma":[0.000027804035,0.00013493879,0.0000588317,0.0003991073,0.00014855743,0.00018874474,0.0001374178,0.00028324762,0.00020407193],"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":[0.00009517725,0.000038100552,0.0014159767,0.00019355536,0.00014567078,0.000013085869,0.0036077523,0.98138285,0.010771608,0.000008276902,0.0021894933,0.00013845647],"study_design_scores_gemma":[0.0027521872,0.00027172902,0.00080010877,0.00025936597,0.000058624977,0.000021007574,0.0008684436,0.910281,0.010003569,0.00005468572,0.07411402,0.0005152816],"about_ca_topic_score_codex":0.00033618696,"about_ca_topic_score_gemma":0.0000044954277,"teacher_disagreement_score":0.07192452,"about_ca_system_score_codex":0.00011609787,"about_ca_system_score_gemma":0.000015806037,"threshold_uncertainty_score":0.5502644},"labels":[],"label_agreement":null},{"id":"W1635933053","doi":"10.1029/2001wr000773","title":"Coupled vertical and lateral preferential flow on a forested slope","year":2002,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Soil and Unsaturated Flow","field":"Engineering","cited_by":141,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Trent University","funders":"","keywords":"Macropore; Bedrock; Surface runoff; Geology; Infiltration (HVAC); Soil horizon; Soil science; Soil water; Hydrology (agriculture); Geomorphology; Geotechnical engineering; Materials science","score_opus":0.0450844264430613,"score_gpt":0.26405914929571567,"score_spread":0.21897472285265437,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1635933053","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99190456,0.00017856885,0.00001034267,0.00021941616,0.000095781244,0.00016333522,0.0000039027027,0.00018696782,0.0072371294],"genre_scores_gemma":[0.9978254,0.00006479318,0.000033506898,0.000021379094,0.00018329904,0.000030534295,0.000014002333,0.000038866336,0.0017882467],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984045,0.0000866575,0.0001515957,0.00023648342,0.00046000042,0.00066073774],"domain_scores_gemma":[0.9994717,0.000066497996,0.000002221344,0.00022646894,0.00005179649,0.00018131835],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019309593,0.00014578225,0.00014903567,0.00019665938,0.00014435017,0.0001870693,0.00017393377,0.00013719511,0.00075750647],"category_scores_gemma":[0.00002387191,0.00009606322,0.00003325409,0.00015655818,0.000105275554,0.00007647613,0.0000873046,0.00054905994,0.0005917201],"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":[0.0045227963,0.0015512082,0.019339155,0.0019823727,0.0017553977,0.0016683135,0.10667081,0.06292474,0.45437714,0.00060339074,0.10572011,0.23888455],"study_design_scores_gemma":[0.0011540226,0.00025803136,0.0038772093,0.000058161044,0.000008173692,0.000014203108,0.000039874038,0.9213973,0.022585945,0.000107166925,0.050251983,0.00024787517],"about_ca_topic_score_codex":0.000029216933,"about_ca_topic_score_gemma":0.000017768562,"teacher_disagreement_score":0.8584726,"about_ca_system_score_codex":0.000036269885,"about_ca_system_score_gemma":0.0000014896862,"threshold_uncertainty_score":0.82941645},"labels":[],"label_agreement":null},{"id":"W1636793123","doi":"10.1029/2002wr001270","title":"Capillary pressure characteristics necessary for simulating DNAPL infiltration, redistribution, and immobilization in saturated porous media","year":2003,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Groundwater flow and contamination studies","field":"Environmental Science","cited_by":79,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada; Queen's University; PPG Industries","keywords":"Capillary pressure; Imbibition; Porous medium; Capillary action; Saturation (graph theory); Mechanics; Geotechnical engineering; Porosity; Chemistry; Geology; Materials science; Composite material; Physics","score_opus":0.02665285225518029,"score_gpt":0.28254452066561825,"score_spread":0.255891668410438,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1636793123","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99667835,0.00017528159,0.001879326,0.00025089688,0.00005162679,0.0005019653,0.000023121283,0.00002428129,0.0004151618],"genre_scores_gemma":[0.99811155,0.000028431265,0.000088155124,0.000033127828,0.000042416792,0.00009371467,0.000204935,0.000014085771,0.0013835744],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9981709,0.00029943036,0.000312545,0.00034689775,0.00043922433,0.00043097208],"domain_scores_gemma":[0.99941164,0.00020785842,0.00004098826,0.0001598028,0.00010768885,0.00007202841],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012704126,0.00012387965,0.00015734245,0.000096869255,0.00039775492,0.00012797191,0.00012331024,0.00009627241,0.00011715452],"category_scores_gemma":[0.00043781972,0.00009416599,0.000017660843,0.0002811313,0.00021889115,0.00024166456,0.00012758687,0.0001768136,0.000018670666],"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":[0.00028616193,0.00026432416,0.8035274,0.00026242196,0.00006901993,0.000031302334,0.047606915,0.0015762415,0.112712316,0.00071034045,0.0022546323,0.030698938],"study_design_scores_gemma":[0.0020560478,0.00025478847,0.47540122,0.00007602241,0.000029640645,0.000021073893,0.004199978,0.012871864,0.05065648,0.0013210854,0.45252505,0.0005867607],"about_ca_topic_score_codex":0.00018247603,"about_ca_topic_score_gemma":0.00017059772,"teacher_disagreement_score":0.4502704,"about_ca_system_score_codex":0.00008353179,"about_ca_system_score_gemma":0.000008033393,"threshold_uncertainty_score":0.38399777},"labels":[],"label_agreement":null},{"id":"W1637229386","doi":"10.1029/2001wr000330","title":"Numerical modeling of gravel bed river response to meander straightening: The coupling between the evolution of bed pavement and long profile","year":2002,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Sediment Transport Processes","field":"Environmental Science","cited_by":64,"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","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Meander (mathematics); Rectification; Geology; Channel (broadcasting); Sediment transport; Aggradation; Channelized; Geotechnical engineering; Hydrology (agriculture); Watershed; Hydraulics; Sediment; Degradation (telecommunications); Geomorphology; Engineering; Fluvial; Geometry","score_opus":0.05120269720333346,"score_gpt":0.28646251917272286,"score_spread":0.2352598219693894,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1637229386","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99631315,0.00013302638,0.0016342972,0.0013156015,0.000007220164,0.00039336627,0.0000047638696,0.000008649641,0.00018989164],"genre_scores_gemma":[0.9995338,0.000009971283,0.00009767622,0.000016822218,0.00002059866,0.000029770958,0.0000026463274,0.000009616964,0.00027910894],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99807084,0.00023661772,0.00027285214,0.0002666008,0.0007623291,0.00039077966],"domain_scores_gemma":[0.9993889,0.00022063634,0.00003237597,0.00024097043,0.00003673479,0.00008039221],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020653456,0.00009726794,0.00015070527,0.0000734933,0.00036742465,0.00001760167,0.00037877026,0.00006549418,0.00063776947],"category_scores_gemma":[0.00003909433,0.000047903013,0.000035150773,0.00025613818,0.0006340539,0.00007079714,0.00018672216,0.0002661327,0.000037259073],"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":[0.0013218076,0.0002496643,0.51978785,0.000113693466,0.00015369002,0.00001401345,0.10984735,0.22825947,0.1383388,0.000023388615,0.0001531706,0.0017371034],"study_design_scores_gemma":[0.0015034196,0.0012382494,0.18036109,0.00012949573,0.00009332088,0.0000069877055,0.004037771,0.6306162,0.17865469,0.0011493978,0.0017832279,0.0004261594],"about_ca_topic_score_codex":0.0005447776,"about_ca_topic_score_gemma":0.00001621101,"teacher_disagreement_score":0.4023567,"about_ca_system_score_codex":0.000055736604,"about_ca_system_score_gemma":0.0000050673516,"threshold_uncertainty_score":0.6983128},"labels":[],"label_agreement":null},{"id":"W1641747283","doi":"10.1029/2005wr004317","title":"Spiking modular neural networks: A neural network modeling approach for hydrological processes","year":2006,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrological Forecasting Using AI","field":"Environmental Science","cited_by":39,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University; University of Saskatchewan","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Artificial neural network; Computer science; Modular design; Evapotranspiration; Layer (electronics); Discretization; Artificial intelligence; Mathematics","score_opus":0.07393577446529037,"score_gpt":0.29549013376074523,"score_spread":0.22155435929545486,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1641747283","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96503615,0.0002051531,0.030187385,0.00040134255,0.00005171026,0.00077348936,0.0000023115424,0.00020341575,0.0031390525],"genre_scores_gemma":[0.9935255,0.000003183999,0.004509511,0.00016118401,0.0009413511,0.00023246856,0.000057663234,0.000056433273,0.0005126842],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9950256,0.00041772617,0.00044332223,0.0009996209,0.00097159564,0.0021421462],"domain_scores_gemma":[0.9990733,0.0002114444,0.000049030998,0.00040828483,0.000060346378,0.00019758525],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024562485,0.00029904928,0.000332252,0.00008244257,0.0011147216,0.0003147874,0.0008781479,0.00025087298,0.0001674723],"category_scores_gemma":[0.00018148124,0.00019205043,0.00012572743,0.0006683686,0.000626486,0.0002006256,0.0009506231,0.0007567536,0.000043997024],"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":[0.00015892029,0.00010832333,0.0053652585,0.00003438853,0.000006373614,0.00001887386,0.00020652315,0.9920011,0.0007388544,0.0000081006965,0.00042083111,0.00093245815],"study_design_scores_gemma":[0.00030603787,0.00026914454,0.00014303434,0.000011448073,0.000008585758,0.000024402523,0.00001358866,0.9923686,0.00012541309,0.0023787492,0.0040841037,0.00026692214],"about_ca_topic_score_codex":0.00065492553,"about_ca_topic_score_gemma":0.000040397987,"teacher_disagreement_score":0.028489381,"about_ca_system_score_codex":0.00012808012,"about_ca_system_score_gemma":0.000004759942,"threshold_uncertainty_score":0.8573651},"labels":[],"label_agreement":null},{"id":"W1643292166","doi":"10.1029/2002wr001367","title":"Factors controlling riffle‐scale hyporheic exchange flows and their seasonal changes in a gaining stream: A three‐dimensional groundwater flow model","year":2003,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Soil and Water Nutrient Dynamics","field":"Environmental Science","cited_by":311,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"The Scarborough Hospital; University of Toronto","funders":"","keywords":"Riffle; Alluvium; Hydrology (agriculture); Geology; MODFLOW; Groundwater; Groundwater flow; Hyporheic zone; Flow (mathematics); STREAMS; Sediment; Soil science; Geomorphology; Aquifer; Geotechnical engineering; Geometry","score_opus":0.0534766795310851,"score_gpt":0.26518989566150075,"score_spread":0.21171321613041566,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1643292166","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99785215,0.00018618282,0.000191918,0.00033937587,0.00004451429,0.0003994856,0.000022017794,0.000039782637,0.0009246009],"genre_scores_gemma":[0.9985603,0.000032295226,0.000374725,0.000081905346,0.000041173662,0.000090212176,0.000036379934,0.00004413139,0.0007388745],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99660015,0.0003456364,0.00025185043,0.0007026175,0.00088106823,0.0012187004],"domain_scores_gemma":[0.9991978,0.00016333924,0.000029355844,0.0003060129,0.000025607815,0.00027787904],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016302307,0.0003176794,0.00033345973,0.00023631846,0.0003940062,0.00017862878,0.00033409678,0.00016187376,0.0003242949],"category_scores_gemma":[0.000030200637,0.00018770687,0.00006878982,0.00026936334,0.00036754497,0.00021767232,0.00053332676,0.00051750324,0.00006714316],"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":[0.00022663352,0.0002610476,0.9252071,0.00004284638,0.00003306834,0.00003685566,0.029262554,0.03534921,0.004950703,0.0000075634352,0.00008106913,0.0045413678],"study_design_scores_gemma":[0.0016644504,0.00022264053,0.016254997,0.00006674018,0.000007489042,0.000014369746,0.0011031366,0.9654328,0.003972863,0.007087095,0.0037187585,0.00045461085],"about_ca_topic_score_codex":0.00072057167,"about_ca_topic_score_gemma":0.002195907,"teacher_disagreement_score":0.93008363,"about_ca_system_score_codex":0.00019406369,"about_ca_system_score_gemma":0.000009670639,"threshold_uncertainty_score":0.7654464},"labels":[],"label_agreement":null},{"id":"W1643298042","doi":"10.1029/2003wr002631","title":"Complex dispersion in simple fractured media","year":2004,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Groundwater flow and contamination studies","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"National Science Foundation","keywords":"Orientation (vector space); Dispersion (optics); Scaling; Grid; Transverse plane; Fracture (geology); Flow (mathematics); Mechanics; Aperture (computer memory); Geometry; Context (archaeology); Geology; Physics; Optics; Mathematics; Geotechnical engineering; Structural engineering; Engineering; Acoustics","score_opus":0.05118830729688901,"score_gpt":0.31346493790329877,"score_spread":0.26227663060640977,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1643298042","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9941648,0.000034228284,0.00015951341,0.0016998386,0.000022352762,0.0001677502,0.0000025314478,0.000022997494,0.003725982],"genre_scores_gemma":[0.9981871,0.00000951412,0.00007844222,0.00011722884,0.00004079907,0.000028331366,0.000024594867,0.000011065906,0.0015028734],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9980411,0.00013749376,0.00016260457,0.0003035506,0.00079997745,0.00055529876],"domain_scores_gemma":[0.9996129,0.000057290647,0.000010648227,0.00021196532,0.000015539134,0.00009164216],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00065864285,0.000098646415,0.00012315893,0.00012708703,0.00026254,0.00007090441,0.00032074627,0.0000524753,0.0022965185],"category_scores_gemma":[0.000034148714,0.00006319281,0.000032420325,0.0002679435,0.0003078053,0.00013918793,0.00056544866,0.00024542166,0.0021053667],"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":[0.00027930053,0.0006763401,0.4116012,0.000041340078,0.000033307064,0.00030164703,0.22786558,0.004678211,0.2579032,0.00013402487,0.0075224065,0.088963464],"study_design_scores_gemma":[0.0008313394,0.00006259516,0.4506006,0.000009872307,0.0000014710968,0.0000025270676,0.0015222478,0.000121874684,0.014443578,0.0015361398,0.53072065,0.00014713017],"about_ca_topic_score_codex":0.003703274,"about_ca_topic_score_gemma":0.002862017,"teacher_disagreement_score":0.52319825,"about_ca_system_score_codex":0.00026094538,"about_ca_system_score_gemma":0.0000026791286,"threshold_uncertainty_score":0.9986716},"labels":[],"label_agreement":null},{"id":"W1643537079","doi":"10.1029/2006wr005603","title":"Application of a fully‐integrated surface‐subsurface flow model at the watershed‐scale: A case study","year":2008,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":134,"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":"Baseflow; Subsurface flow; Hydrology (agriculture); Surface runoff; Hydrograph; Watershed; Environmental science; Streamflow; Vflo; Time of concentration; Hydrological modelling; Base flow; Geology; Drainage basin; Groundwater; Climatology; Geotechnical engineering; Geography","score_opus":0.04387474059734659,"score_gpt":0.29651716796846256,"score_spread":0.252642427371116,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1643537079","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99467635,0.00003468343,0.00041049364,0.0010133891,0.000015582229,0.0011609521,0.000009033994,0.000045147757,0.0026343598],"genre_scores_gemma":[0.985791,0.000023750692,0.00018486752,0.000046940986,0.000012454136,0.00012791205,0.000012630053,0.000022027523,0.013778386],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99694425,0.00060046255,0.0003227924,0.00056792103,0.0008561934,0.0007084027],"domain_scores_gemma":[0.9989999,0.00008693945,0.00004271494,0.00072822487,0.00004686974,0.00009536709],"candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0019356102,0.00019861026,0.00024207635,0.00007325774,0.0013700633,0.000022693595,0.0005720731,0.00008301927,0.000510885],"category_scores_gemma":[0.000015854406,0.000103164144,0.00006633255,0.0003830465,0.0014120487,0.00011243845,0.0015754119,0.00036299508,0.0009703826],"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":[0.00043259023,0.00070170313,0.35887513,0.00002794426,0.00014409584,0.0008317728,0.13211636,0.47642693,0.022699734,0.0000010195986,0.0070752357,0.0006675036],"study_design_scores_gemma":[0.0032281324,0.0013541244,0.015071941,0.000016993341,0.00012706034,0.0009737796,0.030894611,0.8303465,0.060106635,0.00038595326,0.056571145,0.00092312624],"about_ca_topic_score_codex":0.0067543136,"about_ca_topic_score_gemma":0.0024625848,"teacher_disagreement_score":0.35391957,"about_ca_system_score_codex":0.00015158718,"about_ca_system_score_gemma":0.0000044041894,"threshold_uncertainty_score":0.99993},"labels":[],"label_agreement":null},{"id":"W1644330788","doi":"10.1029/2004wr003035","title":"Field‐scale experiments of unsaturated flow and solute transport in a heterogeneous porous medium","year":2005,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Soil and Unsaturated Flow","field":"Engineering","cited_by":64,"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 British Columbia; Okanagan University College","funders":"","keywords":"TRACER; Macropore; Infiltration (HVAC); Vadose zone; Porous medium; Soil science; Environmental science; Moisture; Flow conditions; Water content; Lysimeter; Water flow; Flow (mathematics); Hydrology (agriculture); Soil water; Porosity; Materials science; Geology; Geotechnical engineering; Chemistry; Mechanics","score_opus":0.023986018291852276,"score_gpt":0.2751889050663362,"score_spread":0.25120288677448394,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1644330788","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9968636,0.0011543123,0.0000139627955,0.00022851008,0.000059046237,0.00017210956,0.000006519763,0.000075685195,0.0014262636],"genre_scores_gemma":[0.9989704,0.00015399985,0.00023736824,0.0000232543,0.00009162366,0.000029751454,0.000015900723,0.000032376814,0.00044533654],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9984445,0.000069756556,0.00028653487,0.00022761559,0.00039556477,0.0005760345],"domain_scores_gemma":[0.9995522,0.000044532993,0.000008671405,0.00021966865,0.000054605425,0.00012030885],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031316726,0.00014721145,0.00022149386,0.00028128215,0.000052084826,0.000026306641,0.00020458402,0.00016560561,0.00012521663],"category_scores_gemma":[0.0000070466813,0.00011058783,0.000034619996,0.00022677578,0.00008555618,0.000090247784,0.00004726465,0.0004075792,0.000023287059],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013293254,0.00041827108,0.020006737,0.0006387123,0.00029223712,0.00060078275,0.11860154,0.06068632,0.7144134,0.0000030972267,0.0018159391,0.08119365],"study_design_scores_gemma":[0.0010482201,0.00019677672,0.0025928672,0.00008417423,0.000005834503,0.000034124794,0.00038303024,0.040064845,0.9385634,0.000024430357,0.016749768,0.00025249698],"about_ca_topic_score_codex":0.00025297422,"about_ca_topic_score_gemma":0.00036457164,"teacher_disagreement_score":0.22415003,"about_ca_system_score_codex":0.00004329555,"about_ca_system_score_gemma":0.000007680024,"threshold_uncertainty_score":0.4509641},"labels":[],"label_agreement":null},{"id":"W1644947174","doi":"10.1029/2008wr006832","title":"Methylmercury dynamics at the upland‐peatland interface: Topographic and hydrogeochemical controls","year":2009,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Mercury impact and mitigation studies","field":"Environmental Science","cited_by":54,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"The Scarborough Hospital; University of Toronto","funders":"U.S. Forest Service; University of Toronto; Natural Sciences and Engineering Research Council of Canada; McGill University","keywords":"Peat; Methylmercury; Dissolved organic carbon; Biota; Hydrology (agriculture); Environmental science; Sulfate; Watershed; Environmental chemistry; Bioaccumulation; Geology; Ecology; Chemistry","score_opus":0.024989131924109165,"score_gpt":0.32065953618852483,"score_spread":0.29567040426441565,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1644947174","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9804394,0.0006169049,0.000014214762,0.005231632,0.000018890909,0.0002601594,0.000008747715,0.000022338678,0.013387668],"genre_scores_gemma":[0.99519247,0.0001585355,0.000013769371,0.00020742821,0.00004070917,0.000018121727,0.00001376901,0.000007492985,0.004347686],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.9981853,0.00024171725,0.00016936762,0.0002893313,0.0005755163,0.0005387766],"domain_scores_gemma":[0.99936,0.00018780191,0.000019931227,0.00026424415,0.000016538646,0.00015145198],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010918168,0.00012949198,0.0001601718,0.000060446364,0.00053609704,0.00010593374,0.0002595755,0.000067928144,0.00085752783],"category_scores_gemma":[0.00006099338,0.00006486352,0.000046219895,0.00018020734,0.000819315,0.00008354626,0.00045450765,0.000321798,0.00026147626],"study_design_candidate":"bench_or_experimental","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":[0.00059268996,0.00015736309,0.2798269,0.000025092108,0.00013118067,0.000041879117,0.025266834,0.000089197674,0.63162065,0.000108181746,0.02406145,0.0380786],"study_design_scores_gemma":[0.0026005472,0.000921232,0.092235535,0.000064280866,0.00006250631,0.00017691436,0.0036928602,0.0045022643,0.2270454,0.00840481,0.65948474,0.0008089185],"about_ca_topic_score_codex":0.00021381561,"about_ca_topic_score_gemma":0.00019284493,"teacher_disagreement_score":0.6354233,"about_ca_system_score_codex":0.0000893484,"about_ca_system_score_gemma":0.0000017996757,"threshold_uncertainty_score":0.93893284},"labels":[],"label_agreement":null},{"id":"W1645383175","doi":"10.1029/2007wr006715","title":"Hydraulic tomography in fractured granite: Mizunami Underground Research site, Japan","year":2009,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Groundwater flow and contamination studies","field":"Environmental Science","cited_by":229,"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":"Natural Sciences and Engineering Research Council of Canada; Strategic Environmental Research and Development Program; National Science Foundation","keywords":"Borehole; Geology; Hydraulic conductivity; Groundwater; Fault (geology); Groundwater flow; Aquifer; Seismology; Fracture (geology); Tomography; Scale (ratio); Geotechnical engineering; Soil science; Petrology","score_opus":0.04019111510106748,"score_gpt":0.32265727645121434,"score_spread":0.28246616135014685,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1645383175","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97018105,0.0002679358,0.00007559698,0.004142245,0.00004047677,0.00052068004,0.000003095098,0.00005717171,0.024711767],"genre_scores_gemma":[0.9856615,0.000042142623,0.00007273971,0.00030145526,0.00009263139,0.00007993946,0.000022554887,0.000024350824,0.01370266],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9936908,0.0011097685,0.00038138722,0.0007886185,0.0024043971,0.0016250429],"domain_scores_gemma":[0.9987859,0.00025748278,0.000025122685,0.00060888194,0.000096157084,0.00022641335],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0038788847,0.00023400589,0.00027745814,0.00095876167,0.0008911976,0.00038258685,0.00081197935,0.00016840939,0.0010787076],"category_scores_gemma":[0.000078926634,0.00016712246,0.00009814534,0.0019595823,0.0008021164,0.00038637102,0.00064085424,0.0011570916,0.0022983248],"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":[0.0007334788,0.0016893463,0.48393437,0.00007229158,0.00008305402,0.00045916555,0.13581283,0.0005198344,0.14744148,0.00030929077,0.02676778,0.20217706],"study_design_scores_gemma":[0.0007899546,0.00042021793,0.50772923,0.00003404408,0.0000035130824,0.000007731731,0.00176045,0.00025448567,0.004703578,0.004709281,0.4792891,0.0002983693],"about_ca_topic_score_codex":0.0038506968,"about_ca_topic_score_gemma":0.002627028,"teacher_disagreement_score":0.45252132,"about_ca_system_score_codex":0.00036022504,"about_ca_system_score_gemma":0.000008069754,"threshold_uncertainty_score":0.9998344},"labels":[],"label_agreement":null},{"id":"W1645678420","doi":"10.1029/2003wr002983","title":"Physiographical space‐based kriging for regional flood frequency estimation at ungauged sites","year":2004,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Drought Analysis","field":"Environmental Science","cited_by":156,"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","keywords":"Quantile; Canonical correlation; Mathematics; Kriging; Multivariate statistics; Statistics; Principal component analysis; Return period; Flood myth; Correlation coefficient; Cross-validation; Geography","score_opus":0.04307462983906205,"score_gpt":0.3218475478024203,"score_spread":0.27877291796335824,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1645678420","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9907221,0.000040514322,0.0018312878,0.005356582,0.000010205917,0.0002788452,0.000004998081,0.000047763908,0.0017076886],"genre_scores_gemma":[0.9936092,0.000004596765,0.00520789,0.00016147664,0.00006541916,0.00009490134,0.00010526768,0.000017691984,0.0007335547],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99777234,0.00018929363,0.00018335185,0.00046657387,0.0007172178,0.000671221],"domain_scores_gemma":[0.9993431,0.0001500313,0.000027281652,0.0003037628,0.000025555762,0.00015027075],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00094786787,0.00013431105,0.00015850633,0.00022522856,0.0008348012,0.000055952594,0.00032715625,0.00012907165,0.001445362],"category_scores_gemma":[0.00004798965,0.00009527977,0.00015435759,0.0004903369,0.00061818457,0.0001494044,0.00018341586,0.0002693349,0.0008601486],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00058617187,0.00053980196,0.12566325,0.00007776167,0.00013172306,0.000060756953,0.0048128595,0.13330524,0.7298342,0.0005352724,0.00331913,0.0011338604],"study_design_scores_gemma":[0.0071137017,0.0013909937,0.04192828,0.00011820908,0.00017371187,0.00003247068,0.00032984652,0.1620715,0.51761293,0.16101566,0.10679499,0.0014176926],"about_ca_topic_score_codex":0.00074477406,"about_ca_topic_score_gemma":0.00059751456,"teacher_disagreement_score":0.21222124,"about_ca_system_score_codex":0.00017107232,"about_ca_system_score_gemma":0.000009286102,"threshold_uncertainty_score":0.9999178},"labels":[],"label_agreement":null},{"id":"W1645881668","doi":"10.1029/2001wr000514","title":"Evaluating peak flow sensitivity to clear‐cutting in different elevation bands of a snowmelt‐dominated mountainous catchment","year":2002,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":81,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ministry of Forests; Government of British Columbia; University of British Columbia","funders":"","keywords":"Snowmelt; Snowpack; Elevation (ballistics); Watershed; Snow; Environmental science; Hydrology (agriculture); Drainage basin; Evapotranspiration; Meltwater; Streamflow; Logging; Geology; Geomorphology; Geography; Ecology","score_opus":0.06620676029646902,"score_gpt":0.3378791410294014,"score_spread":0.27167238073293243,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1645881668","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9925787,0.000015420454,0.000045777757,0.0021406063,0.000025753641,0.0005588732,0.0000019948548,0.000022593762,0.0046102772],"genre_scores_gemma":[0.9980745,0.000011280531,0.00017650476,0.00008118198,0.00003344603,0.000069914284,0.000006173983,0.000014311085,0.0015327206],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9967727,0.0008251,0.00032749324,0.0004549052,0.000866522,0.0007532563],"domain_scores_gemma":[0.9993928,0.00016693899,0.000038040595,0.00028293818,0.000031771993,0.00008747428],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0033073947,0.00015765736,0.00024668148,0.00025986647,0.00030938265,0.000034157918,0.0002089115,0.00006927581,0.00076184806],"category_scores_gemma":[0.00016438735,0.00011002508,0.000042867094,0.0003720339,0.0002217967,0.000097857606,0.0009407208,0.000303018,0.0004130306],"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":[0.0007315017,0.0009876473,0.40830874,0.00018227294,0.000113931754,0.00017060459,0.14576507,0.121613905,0.25997102,0.000013951551,0.0014495044,0.060691856],"study_design_scores_gemma":[0.0025014845,0.0018530306,0.44660553,0.00017834047,0.000034433477,0.000008882388,0.0034858552,0.4242684,0.1143826,0.00046495316,0.005578609,0.0006378885],"about_ca_topic_score_codex":0.0014805273,"about_ca_topic_score_gemma":0.00038866626,"teacher_disagreement_score":0.30265447,"about_ca_system_score_codex":0.0002974653,"about_ca_system_score_gemma":0.0000011055637,"threshold_uncertainty_score":0.83417016},"labels":[],"label_agreement":null},{"id":"W1646483151","doi":"10.1029/2007wr006038","title":"Simulating the dissolution of a complex dense nonaqueous phase liquid source zone: 1. Model to predict interfacial area","year":2007,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Enhanced Oil Recovery Techniques","field":"Engineering","cited_by":76,"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":"Saturation (graph theory); Porous medium; Capillary pressure; Dissolution; Porosity; Wetting; Materials science; Surface tension; Capillary action; Multiphase flow; Hysteresis; Thermodynamics; Mechanics; Chemistry; Composite material; Physics","score_opus":0.06695813148936898,"score_gpt":0.3574125953537708,"score_spread":0.2904544638644018,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1646483151","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.70458007,0.000041020085,0.2926368,0.0000556184,0.000024046873,0.0003926641,0.0000167603,0.0002623551,0.0019906803],"genre_scores_gemma":[0.9973424,0.000009970925,0.0016249472,0.00002472616,0.000115089475,0.000048377933,0.000014244837,0.000069443246,0.00075076445],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99745005,0.00012261969,0.00046802819,0.0002816882,0.00079597137,0.00088162016],"domain_scores_gemma":[0.9987898,0.00032112174,0.000029039056,0.00048391742,0.00020776679,0.00016837893],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020130996,0.00019771725,0.00024215557,0.0003917495,0.00021160531,0.00006812816,0.0005671076,0.00012664523,0.00005729772],"category_scores_gemma":[0.0001700823,0.00013570194,0.00008722045,0.00036063805,0.00018966234,0.00010310574,0.00036665457,0.0005722151,0.000032919146],"study_design_candidate":"bench_or_experimental","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":[0.0007833626,0.00006758637,0.00005607341,0.00008052406,0.00003294754,0.000011670009,0.011245886,0.39210415,0.57707065,0.000007913145,0.0005435564,0.017995676],"study_design_scores_gemma":[0.0003179526,0.00046510852,0.000035585806,0.00009953782,0.0000056901763,0.0000068346144,0.00029323387,0.5355713,0.44917527,0.00006512576,0.013807348,0.00015701259],"about_ca_topic_score_codex":0.00012462048,"about_ca_topic_score_gemma":0.0001278568,"teacher_disagreement_score":0.2927624,"about_ca_system_score_codex":0.00020337504,"about_ca_system_score_gemma":0.0000107707965,"threshold_uncertainty_score":0.55337644},"labels":[],"label_agreement":null},{"id":"W1646591491","doi":"10.1029/2008wr007424","title":"Remote sensing of suspended sediment concentration, flow velocity, and lake recharge in the Peace‐Athabasca Delta, Canada","year":2009,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Flood Risk Assessment and Management","field":"Environmental Science","cited_by":138,"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":"Hydrology (agriculture); Turbidity; Groundwater recharge; Sediment; Streamflow; Environmental science; Floodplain; Geology; River delta; Delta; Biogeochemical cycle; Geomorphology; Groundwater; Aquifer; Drainage basin; Oceanography; Ecology; Geography","score_opus":0.02348879207106328,"score_gpt":0.28195798524163523,"score_spread":0.25846919317057193,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1646591491","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9837705,0.00006768101,0.000075464995,0.0053708404,0.000027265934,0.0004756765,0.000004754959,0.00000767085,0.010200168],"genre_scores_gemma":[0.99792975,0.00007730262,0.0010049776,0.00022999836,0.00002765268,0.0000012160348,0.0000204196,0.0000059395247,0.0007027134],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9976499,0.00036291906,0.00021266236,0.00027000235,0.001030668,0.00047381615],"domain_scores_gemma":[0.99956113,0.00006484957,0.000027936667,0.00025922223,0.000019287561,0.000067573],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018935403,0.000100553676,0.00012059884,0.000046926318,0.00019821379,0.000069626374,0.00028425324,0.000035166486,0.00039963925],"category_scores_gemma":[0.000022653043,0.00006219268,0.000018242998,0.00022641636,0.00013779753,0.00008331504,0.00022439363,0.00023749871,0.000011434929],"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":[0.0006187609,0.0005845347,0.057139907,0.00021135368,0.00012748095,0.0008618651,0.1094242,0.0052138832,0.041408855,0.0004332095,0.18554316,0.5984328],"study_design_scores_gemma":[0.0022940522,0.0006107866,0.15071277,0.00012889823,0.000026817097,0.000022335566,0.0063023856,0.11362149,0.04487071,0.0033082531,0.67750716,0.0005943428],"about_ca_topic_score_codex":0.29922935,"about_ca_topic_score_gemma":0.71518344,"teacher_disagreement_score":0.59783846,"about_ca_system_score_codex":0.00016481311,"about_ca_system_score_gemma":0.000021733886,"threshold_uncertainty_score":0.7054371},"labels":[],"label_agreement":null},{"id":"W1648363341","doi":"10.1029/2005wr004695","title":"Finite element transport modeling using analytic element flow solutions","year":2006,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Advanced Numerical Methods in Computational Mathematics","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":"University of Waterloo","funders":"National Science Foundation","keywords":"Finite element method; Discretization; Classification of discontinuities; Flow (mathematics); Method of mean weighted residuals; Extended finite element method; Mixed finite element method; Mathematics; Boundary (topology); Mathematical analysis; Boundary value problem; Applied mathematics; Mathematical optimization; Geometry; Galerkin method; Engineering; Structural engineering","score_opus":0.14150803428270156,"score_gpt":0.3771117055640516,"score_spread":0.23560367128135004,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1648363341","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.13236006,0.00017379195,0.86583865,0.0000820482,0.00005448744,0.00023600907,0.000011731558,0.00014927838,0.0010939279],"genre_scores_gemma":[0.7170076,0.000011657093,0.28255516,0.000007630541,0.00017322585,0.00003678308,0.000024207015,0.000049259772,0.0001345125],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9974704,0.00012416898,0.00047565685,0.00025797656,0.00084402616,0.0008277752],"domain_scores_gemma":[0.99922323,0.00023316852,0.000015296626,0.00028099716,0.0001507619,0.00009653134],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011432865,0.00016840994,0.00021133822,0.0003223562,0.00029843528,0.000051849653,0.0002563655,0.00005852154,0.00012167326],"category_scores_gemma":[0.00003631763,0.00013847322,0.00008171725,0.0003915748,0.0000727266,0.000095263415,0.00008939326,0.00037968098,0.00005572933],"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":[0.0000062074096,0.000038200345,0.00004605178,0.00009219257,0.000027204827,0.0000097359,0.00046938003,0.99563396,0.0023221695,0.00018582372,0.000027674952,0.0011414102],"study_design_scores_gemma":[0.00016336398,0.000023870569,0.000015134111,0.000044814937,0.00001266702,0.0000029516673,0.00010010853,0.9705727,0.0019353186,0.023427043,0.003532444,0.00016954649],"about_ca_topic_score_codex":0.00006376031,"about_ca_topic_score_gemma":0.0000106524585,"teacher_disagreement_score":0.58464754,"about_ca_system_score_codex":0.00026727587,"about_ca_system_score_gemma":0.000011235358,"threshold_uncertainty_score":0.5646774},"labels":[],"label_agreement":null},{"id":"W1649253606","doi":"10.1029/2006wr005275","title":"Metaelliptical copulas and their use in frequency analysis of multivariate hydrological data","year":2007,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Drought Analysis","field":"Environmental Science","cited_by":271,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Ministry of Education, Recreation and Sports; Institut National de la Recherche Scientifique; Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Copula (linguistics); Multivariate statistics; Goodness of fit; Statistics; Econometrics; Flood myth; Multivariate analysis; Hydrology (agriculture); Mathematics; Computer science; Geology; Geography; Geotechnical engineering","score_opus":0.10796115527988573,"score_gpt":0.35532406831807595,"score_spread":0.24736291303819022,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1649253606","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9976568,0.00006517316,0.00036615485,0.00017881668,0.000006117025,0.00010777398,0.000014349239,0.000014049034,0.0015907602],"genre_scores_gemma":[0.99886507,0.000020453339,0.0007695064,0.000042675718,0.000012704886,0.0000034259203,0.00005360289,0.000008770314,0.00022379415],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99730784,0.0005939969,0.00038343255,0.00061086006,0.0004582351,0.0006456154],"domain_scores_gemma":[0.9983961,0.0006247699,0.000030657055,0.0007807996,0.0000146862,0.00015300946],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.005773907,0.00012370993,0.00038259357,0.00050896953,0.00012271774,0.000036425066,0.00069274363,0.00016786734,0.0011390984],"category_scores_gemma":[0.00024512087,0.000070580296,0.000070411385,0.0013853,0.0010218162,0.00023220944,0.0013392287,0.00041924568,0.00009425233],"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":[0.00015283484,0.00019228073,0.9635941,0.00000410167,0.00035569922,0.00007721426,0.0035154675,0.0011149684,0.030047877,0.00007586812,0.000023653158,0.00084594416],"study_design_scores_gemma":[0.0005474402,0.00017804875,0.8592379,0.000005952353,0.00027840363,0.0000057110333,0.00033000985,0.121267654,0.0067244656,0.0023429138,0.008818754,0.0002627405],"about_ca_topic_score_codex":0.01007728,"about_ca_topic_score_gemma":0.011983763,"teacher_disagreement_score":0.12015269,"about_ca_system_score_codex":0.0000416556,"about_ca_system_score_gemma":0.0000023882162,"threshold_uncertainty_score":0.999774},"labels":[],"label_agreement":null},{"id":"W1650105752","doi":"10.1029/2000wr000170","title":"Two adjacent forested catchments: Dramatically different NO<sub>3</sub><sup>−</sup> export","year":2002,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Soil and Water Nutrient Dynamics","field":"Environmental Science","cited_by":87,"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; University of Waterloo","funders":"","keywords":"Water table; Groundwater; Soil water; Hydrology (agriculture); Drainage basin; Nitrate; Environmental science; Denitrification; Nitrification; Mineralization (soil science); Drainage; Biogeochemical cycle; Geology; Nitrogen; Soil science; Environmental chemistry; Ecology; Chemistry","score_opus":0.030411321272438476,"score_gpt":0.2669231842855899,"score_spread":0.23651186301315144,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1650105752","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9790755,0.00004305999,0.000037354734,0.0007851926,0.00008486109,0.0006943607,0.000011554157,0.00012588901,0.019142214],"genre_scores_gemma":[0.995067,0.00012397331,0.00013112236,0.00017466534,0.00017458142,0.00018836925,0.00006167364,0.00006798246,0.0040106084],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9940833,0.00042120458,0.00057353836,0.00086739403,0.0022955888,0.0017589917],"domain_scores_gemma":[0.9982705,0.000116166375,0.000051681687,0.0009048785,0.000068465226,0.00058829045],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0008375521,0.000383345,0.00035481062,0.00020732233,0.0005262203,0.00029308037,0.0009979227,0.0001555838,0.0017099204],"category_scores_gemma":[0.000071498376,0.000250196,0.00015350869,0.0003968491,0.00067709485,0.00026735125,0.0014545557,0.0006861174,0.012994713],"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":[0.00026801927,0.0018922661,0.9152692,0.00012788107,0.00012006372,0.00030583926,0.021207092,0.0027468442,0.017618021,0.000043901317,0.019638523,0.02076235],"study_design_scores_gemma":[0.008972994,0.0023105387,0.09562768,0.00041357224,0.00010551074,0.00013174057,0.0023556408,0.37213358,0.13467847,0.011382154,0.3688494,0.0030387118],"about_ca_topic_score_codex":0.00024603299,"about_ca_topic_score_gemma":0.000026638292,"teacher_disagreement_score":0.81964153,"about_ca_system_score_codex":0.00047703602,"about_ca_system_score_gemma":0.000003874206,"threshold_uncertainty_score":0.99999505},"labels":[],"label_agreement":null},{"id":"W1650177443","doi":"10.1029/2001wr000861","title":"Applicability of prewhitening to eliminate the influence of serial correlation on the Mann‐Kendall test","year":2002,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Drought Analysis","field":"Environmental Science","cited_by":864,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Autocorrelation; Autoregressive model; Statistics; Series (stratigraphy); Correlation; Mathematics; Null hypothesis; Null (SQL); Magnitude (astronomy); Sample size determination; Econometrics; Computer science","score_opus":0.02909005901394387,"score_gpt":0.27673854603765813,"score_spread":0.24764848702371425,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1650177443","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.988403,0.000005952945,0.0000141326145,0.002708033,0.000006507778,0.00031422407,0.000003827764,0.000006635334,0.008537644],"genre_scores_gemma":[0.99816704,0.0000034866916,0.000025167288,0.000084943655,0.000020862606,0.000041586856,0.0000010367572,0.0000055979535,0.0016502719],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9982043,0.00039963465,0.00022375719,0.00024352172,0.00062420615,0.00030460005],"domain_scores_gemma":[0.99875987,0.0006114405,0.00004128244,0.0005061136,0.000030943123,0.000050351457],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002075734,0.00007477917,0.00011530539,0.000053709904,0.00027443457,0.000017564946,0.0005894393,0.00006257427,0.0018841522],"category_scores_gemma":[0.00031676,0.000034410405,0.000048847607,0.00041559438,0.00072205905,0.00005545011,0.000395857,0.00028893515,0.0007195829],"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":[0.0003786774,0.00037694201,0.33983135,0.000030486843,0.000044251323,0.000004809228,0.045888968,0.43244565,0.17462954,0.00008618365,0.0015506014,0.0047325417],"study_design_scores_gemma":[0.0006299504,0.0015585952,0.6918807,0.00006586252,0.000055118453,0.000006565416,0.0013200387,0.06977395,0.17596722,0.0022651276,0.056118242,0.00035860823],"about_ca_topic_score_codex":0.00048631997,"about_ca_topic_score_gemma":0.00009195315,"teacher_disagreement_score":0.3626717,"about_ca_system_score_codex":0.000035511563,"about_ca_system_score_gemma":0.0000012565836,"threshold_uncertainty_score":0.99902827},"labels":[],"label_agreement":null},{"id":"W1651151894","doi":"10.1029/2011wr010874","title":"Salt marsh ecohydrological zonation due to heterogeneous vegetation–groundwater–surface water interactions","year":2012,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Coastal wetland ecosystem dynamics","field":"Environmental Science","cited_by":112,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Salt marsh; Hydrology (agriculture); Ecohydrology; Vegetation (pathology); Environmental science; Evapotranspiration; Marsh; Groundwater; Wetland; Sediment; Intertidal zone; Spatial heterogeneity; Geology; Spatial variability; Ecosystem; Ecology; Oceanography; Geomorphology","score_opus":0.03294482055518815,"score_gpt":0.2986171467927703,"score_spread":0.26567232623758213,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1651151894","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9914467,0.000016199292,0.0004513153,0.0011874398,0.00022887738,0.00050623046,0.0000049705573,0.00007852455,0.0060797865],"genre_scores_gemma":[0.9935213,0.000002554167,0.00030593364,0.00012276757,0.00017228683,0.000081807004,0.000058885857,0.00003728233,0.0056972196],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.9964839,0.00047782375,0.000338971,0.0004588318,0.00090197957,0.0013384472],"domain_scores_gemma":[0.9990015,0.000099153935,0.000022882527,0.00041782434,0.000039227678,0.0004194251],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0016391377,0.00019690531,0.00019806482,0.00016057704,0.00048804434,0.00025864266,0.0004687854,0.00010861333,0.004273148],"category_scores_gemma":[0.000033983786,0.00011972993,0.00007806284,0.00022951653,0.00012953764,0.000440973,0.0012797383,0.00037103423,0.02285423],"study_design_candidate":"bench_or_experimental","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":[0.0006046887,0.0013594965,0.15449959,0.00016199485,0.00013086428,0.0001967393,0.055455558,0.14692856,0.6278646,0.00004658253,0.0023390385,0.010412279],"study_design_scores_gemma":[0.0009128956,0.00086720363,0.038748026,0.00007169971,0.000030185603,0.0007064964,0.0004946376,0.051406626,0.17353708,0.0013062132,0.7307095,0.0012094402],"about_ca_topic_score_codex":0.00085978594,"about_ca_topic_score_gemma":0.0013163614,"teacher_disagreement_score":0.7283705,"about_ca_system_score_codex":0.00049072056,"about_ca_system_score_gemma":0.0000023915575,"threshold_uncertainty_score":0.9966371},"labels":[],"label_agreement":null},{"id":"W1651212747","doi":"10.1029/2009wr007779","title":"Early flood warnings from empirical (expanded) downscaling of the full ECMWF Ensemble Prediction System","year":2009,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Climate variability and models","field":"Environmental Science","cited_by":39,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Impact; Pacific Institute for Climate Solutions","funders":"","keywords":"Downscaling; Flash flood; Flood forecasting; Environmental science; Precipitation; Climatology; Streamflow; Flood myth; Meteorology; Quantitative precipitation forecast; Probabilistic logic; Warning system; Climate change; Drainage basin; Computer science; Geology; Geography","score_opus":0.048213089454191935,"score_gpt":0.2988450015739978,"score_spread":0.25063191211980584,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1651212747","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99323267,0.000020331585,0.00012720712,0.0007068486,0.000056167686,0.00031962575,0.00002093818,0.000053144184,0.005463082],"genre_scores_gemma":[0.99918664,0.000004671127,0.0001093705,0.000034873843,0.00009147736,0.0000141666615,0.000008234697,0.000010722759,0.00053983595],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9971019,0.00051245035,0.0003286533,0.0004237066,0.0011002382,0.0005330453],"domain_scores_gemma":[0.9991361,0.00012849928,0.000041520772,0.00054091134,0.00003107373,0.00012192116],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015351503,0.00011917626,0.00017932973,0.000057006455,0.00038379757,0.00008558983,0.0005454214,0.00013936486,0.00039733236],"category_scores_gemma":[0.000051610506,0.00006745656,0.00009892876,0.00026088915,0.00026529105,0.0001410138,0.00044170182,0.00044510793,0.00026817396],"study_design_candidate":"bench_or_experimental","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":[0.00031914454,0.00032906575,0.16132404,0.000052045278,0.00003248385,0.000009900509,0.063598685,0.0052375873,0.7628368,0.00002070713,0.0008928126,0.005346741],"study_design_scores_gemma":[0.0024129925,0.0015305032,0.47035804,0.0005026236,0.000076283526,0.00003639795,0.003337793,0.13569562,0.34172264,0.0049309037,0.038731612,0.0006645883],"about_ca_topic_score_codex":0.0023096665,"about_ca_topic_score_gemma":0.000054311862,"teacher_disagreement_score":0.42111415,"about_ca_system_score_codex":0.00019657423,"about_ca_system_score_gemma":0.0000070605306,"threshold_uncertainty_score":0.43505108},"labels":[],"label_agreement":null},{"id":"W1651686692","doi":"10.1029/2002wr001904","title":"Optimal replacement of water pipes","year":2003,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Water Systems and Optimization","field":"Engineering","cited_by":41,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"National Research Council Canada","keywords":"Hazard; Constant (computer programming); Minification; Exponential function; Function (biology); Probability density function; Basis (linear algebra); Mathematics; Mathematical optimization; Statistics; Computer science; Mathematical analysis; Geometry","score_opus":0.029217086453595626,"score_gpt":0.26795517642055267,"score_spread":0.23873808996695703,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1651686692","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96629107,0.00015692672,0.0010931212,0.000056015073,0.000119384946,0.00023984004,0.0000024949802,0.000080018515,0.03196115],"genre_scores_gemma":[0.9905385,0.00001718509,0.00054271525,0.000003578544,0.000055891298,0.00003645405,0.000012230315,0.000034609242,0.0087588355],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9983553,0.00016611976,0.00027633505,0.00018169427,0.0004678779,0.0005526669],"domain_scores_gemma":[0.999464,0.000017673823,0.0000072854195,0.000320722,0.00011219274,0.00007813618],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011137797,0.000109916014,0.00015933994,0.00022989273,0.00008919453,0.00006732253,0.0001769033,0.00007410285,0.00047458094],"category_scores_gemma":[0.000012426591,0.00006361866,0.000042384887,0.00010612786,0.00006278983,0.00008477027,0.00006538597,0.00017285121,0.00020650959],"study_design_candidate":"bench_or_experimental","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":[0.000142536,0.00012730488,0.0031877821,0.0008934279,0.00019908913,0.000035203604,0.04360566,0.74741447,0.18238087,0.0003050294,0.021334622,0.00037400486],"study_design_scores_gemma":[0.00024525725,0.000078130826,0.000028709539,0.000024399864,0.000002510119,0.000005068276,0.0002480123,0.0051009837,0.68254644,0.000030875883,0.31159127,0.00009837352],"about_ca_topic_score_codex":0.0000615741,"about_ca_topic_score_gemma":0.000013437582,"teacher_disagreement_score":0.7423135,"about_ca_system_score_codex":0.00004611688,"about_ca_system_score_gemma":0.0000032802486,"threshold_uncertainty_score":0.5196329},"labels":[],"label_agreement":null},{"id":"W1651775740","doi":"10.1029/2008wr007673","title":"Hybrid discrete dynamically dimensioned search (HD‐DDS) algorithm for water distribution system design optimization","year":2009,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Water Systems and Optimization","field":"Engineering","cited_by":131,"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":"Natural Sciences and Engineering Research Council of Canada","keywords":"Algorithm; Meta-optimization; Computer science; Mathematical optimization; Metaheuristic; Ant colony optimization algorithms; Local search (optimization); Genetic algorithm; Population; Particle swarm optimization; Global optimization; Search algorithm; Hybrid algorithm (constraint satisfaction); Optimization problem; Heuristics; Mathematics","score_opus":0.02214005031540313,"score_gpt":0.2581974665869447,"score_spread":0.2360574162715416,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1651775740","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.04923083,0.00007442394,0.9478861,0.00024269255,0.00018136798,0.0015218988,0.00008913434,0.0004644335,0.00030912794],"genre_scores_gemma":[0.976855,0.00001992724,0.019044463,0.00000978691,0.0003282668,0.00019459381,0.0017949342,0.00008901542,0.001664052],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9964337,0.00040651317,0.0005270713,0.00049217534,0.00092521776,0.0012153343],"domain_scores_gemma":[0.99877155,0.00007834635,0.00001895993,0.0004513576,0.00045221212,0.0002275968],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021642926,0.00028473875,0.0003439944,0.00029523548,0.0005238779,0.00046726293,0.00040567783,0.00017133562,0.000033546235],"category_scores_gemma":[0.000017834618,0.00018250749,0.000106269785,0.00019485528,0.00007128991,0.0002989553,0.0001092143,0.00032785264,0.00011425145],"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":[0.00010707914,0.000029724823,0.000003702119,0.00015794899,0.00004177147,0.000020751886,0.0010223212,0.9870449,0.007053247,0.00004122375,0.001515071,0.0029622838],"study_design_scores_gemma":[0.0005991662,0.000245871,0.000019525443,0.000098911834,0.000012646353,0.000020503288,0.00011336095,0.8941774,0.10129171,0.000048682505,0.0031091173,0.00026312796],"about_ca_topic_score_codex":0.000055436078,"about_ca_topic_score_gemma":0.0000026209418,"teacher_disagreement_score":0.92884165,"about_ca_system_score_codex":0.00040660187,"about_ca_system_score_gemma":0.000010883665,"threshold_uncertainty_score":0.744244},"labels":[],"label_agreement":null},{"id":"W1652050318","doi":"10.1029/2007wr006623","title":"Hydraulic tomography using temporal moments of drawdown recovery data: A laboratory sandbox study","year":2009,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Groundwater flow and contamination studies","field":"Environmental Science","cited_by":63,"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":"Natural Sciences and Engineering Research Council of Canada; Strategic Environmental Research and Development Program","keywords":"Tomography; Hydraulic conductivity; Aquifer; Discretization; Boundary value problem; Drawdown (hydrology); Geology; Mechanics; Mathematics; Soil science; Geotechnical engineering; Mathematical analysis; Physics; Groundwater; Optics","score_opus":0.06782983541204575,"score_gpt":0.33910638247361824,"score_spread":0.2712765470615725,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1652050318","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99804914,0.00011783278,0.0000902466,0.00017799476,0.000043022737,0.0004567867,0.000024074963,0.0000259522,0.001014963],"genre_scores_gemma":[0.998414,0.0000075885137,0.00010151618,0.00006325432,0.000048487207,0.000014204836,0.000021412634,0.000012402899,0.0013171475],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9968917,0.00043233612,0.00033678705,0.0005415987,0.001249406,0.00054821506],"domain_scores_gemma":[0.9989566,0.00004075842,0.000049716597,0.00079048664,0.000058176847,0.00010426997],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001764528,0.00015458638,0.00024055355,0.00026686979,0.00037930484,0.00011869698,0.000822984,0.000052033953,0.00030440648],"category_scores_gemma":[0.000026309848,0.00010781986,0.000044210203,0.00070679653,0.00030733523,0.0004853453,0.0010476717,0.00022444846,0.00012889478],"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":[0.00035860253,0.0018649466,0.8536951,0.000032702337,0.00018110922,0.00013613005,0.026791276,0.0003113197,0.08519781,0.0000020750965,0.00425605,0.027172916],"study_design_scores_gemma":[0.0029808544,0.002850287,0.7074311,0.000088108005,0.0000707881,0.00000997265,0.0108948145,0.0017299289,0.02883849,0.00043221106,0.24387616,0.00079733744],"about_ca_topic_score_codex":0.0014501581,"about_ca_topic_score_gemma":0.00012891451,"teacher_disagreement_score":0.2396201,"about_ca_system_score_codex":0.000096900454,"about_ca_system_score_gemma":0.000008528339,"threshold_uncertainty_score":0.43967664},"labels":[],"label_agreement":null},{"id":"W1652436281","doi":"10.1029/2009wr007740","title":"A critical perspective on 1‐D modeling of river processes: Gravel load and aggradation in lower Fraser River","year":2009,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Sediment Transport Processes","field":"Environmental Science","cited_by":58,"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","funders":"Natural Sciences and Engineering Research Council of Canada; University of British Columbia","keywords":"Aggradation; Geology; Hydrology (agriculture); Channel (broadcasting); Sediment; Geomorphology; Sediment transport; Geotechnical engineering; Fluvial","score_opus":0.029234023095062404,"score_gpt":0.31688793514992003,"score_spread":0.28765391205485763,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1652436281","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9892064,0.00012366206,0.00016599547,0.0011944785,0.000008494367,0.0001764031,0.000002652383,0.00001144219,0.009110481],"genre_scores_gemma":[0.99945873,0.000057477064,0.00013425894,0.000121608056,0.000016618957,0.000011250542,0.0000028266206,0.0000068407153,0.00019036545],"study_design_codex":"qualitative","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99826896,0.00010078139,0.00017294886,0.00039133496,0.0006672217,0.00039875793],"domain_scores_gemma":[0.99959284,0.000085542175,0.000011702512,0.00013921729,0.000088807414,0.00008189365],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006545575,0.000105273175,0.0001384633,0.00012937219,0.00013137101,0.000021191578,0.0001873571,0.00010047825,0.00046131422],"category_scores_gemma":[0.0001543261,0.000075195654,0.000019943263,0.00026947877,0.00070422137,0.00023931483,0.000059197464,0.00032773137,0.00008596342],"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":[0.008648325,0.0063576745,0.19223803,0.00074080727,0.00010250644,0.000846541,0.5470677,0.2022031,0.028218476,0.0024310073,0.00055254356,0.010593272],"study_design_scores_gemma":[0.011557246,0.011201344,0.1710418,0.0015454795,0.00012218018,0.00003776627,0.018141411,0.22596389,0.12076282,0.42195314,0.014867403,0.002805516],"about_ca_topic_score_codex":0.00090865826,"about_ca_topic_score_gemma":0.0002038613,"teacher_disagreement_score":0.5289263,"about_ca_system_score_codex":0.00011494281,"about_ca_system_score_gemma":0.000015332966,"threshold_uncertainty_score":0.50510675},"labels":[],"label_agreement":null},{"id":"W1652713666","doi":"10.1029/2011wr010415","title":"El Niño–Southern Oscillation influence on winter maximum daily precipitation in California in a spatial model","year":2011,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Climate variability and models","field":"Environmental Science","cited_by":46,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Precipitation; Context (archaeology); Extreme value theory; Climatology; Latitude; Longitude; Generalized extreme value distribution; Spatial distribution; Environmental science; Oscillation (cell signaling); Elevation (ballistics); Independence (probability theory); Spatial ecology; Spatial variability; Geography; Mathematics; Statistics; Meteorology; Geology; Geodesy","score_opus":0.06468779685375807,"score_gpt":0.3027751841730844,"score_spread":0.23808738731932633,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1652713666","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99009985,0.0000022600111,0.00017914594,0.00017332972,0.0000136617255,0.00042790768,0.000028746697,0.000018727214,0.00905636],"genre_scores_gemma":[0.99933213,0.000003480016,0.00017284823,0.00005911495,0.000012617714,0.00006907842,0.000015981599,0.00001399907,0.00032075343],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9976641,0.0003366067,0.00031111948,0.00046817883,0.0006601276,0.00055986363],"domain_scores_gemma":[0.9994718,0.00006463928,0.000025700883,0.00032823544,0.000020887996,0.000088746376],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0017675848,0.00012449527,0.00012632225,0.00023817732,0.00009147827,0.00004507372,0.000319895,0.00011696421,0.0009991114],"category_scores_gemma":[0.000091061724,0.00009313312,0.000030228955,0.00023877459,0.00022293818,0.00019850982,0.00032767848,0.00038140814,0.0021640083],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009286136,0.00041253667,0.5458148,0.000036134115,0.0000033584279,0.000016437889,0.14855286,0.27512375,0.026376003,0.000014783662,0.000050332073,0.0026703721],"study_design_scores_gemma":[0.0020125771,0.0005515099,0.3153338,0.00017042062,0.000005150632,0.0000030540268,0.00188162,0.6275977,0.0079533635,0.04192457,0.0019540093,0.00061221165],"about_ca_topic_score_codex":0.014442759,"about_ca_topic_score_gemma":0.0072895065,"teacher_disagreement_score":0.35247394,"about_ca_system_score_codex":0.00032202527,"about_ca_system_score_gemma":0.000007991749,"threshold_uncertainty_score":0.9999141},"labels":[],"label_agreement":null},{"id":"W1653456592","doi":"10.1029/2008wr007121","title":"Subsurface flow velocities in a hillslope with lateral preferential flow","year":2009,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":112,"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 British Columbia; University of Calgary; Alberta Environment and Protected Areas","funders":"","keywords":"Surface runoff; Subsurface flow; Geology; Flow (mathematics); Storm; TRACER; Antecedent moisture; Flow velocity; Antecedent (behavioral psychology); Hydrology (agriculture); Soil science; Geotechnical engineering; Mechanics; Groundwater; Runoff curve number","score_opus":0.02500298097477064,"score_gpt":0.2681009162895914,"score_spread":0.24309793531482074,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1653456592","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9732849,0.000029782212,0.000021048601,0.0030961854,0.000026457697,0.00030983033,0.000002550918,0.00004476374,0.023184497],"genre_scores_gemma":[0.990249,0.000029822435,0.00041491233,0.00017800662,0.000039578605,0.0000319891,0.000013569493,0.000012542236,0.009030613],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9975452,0.0002878316,0.00017628346,0.00044474046,0.00063207955,0.0009138919],"domain_scores_gemma":[0.9995903,0.000029971576,0.00001353121,0.0002705563,0.000012787097,0.00008289022],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0008379124,0.00016853311,0.00019079026,0.00015140652,0.00033402632,0.00008694412,0.00040296474,0.000079853,0.0014980553],"category_scores_gemma":[0.000010389341,0.00010146357,0.000029640327,0.0002587097,0.00047730302,0.00021015454,0.00043153597,0.0003926401,0.0009129349],"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":[0.0042905435,0.0011356947,0.6011124,0.00012349567,0.00024787625,0.0010155721,0.17480561,0.14398955,0.014400746,0.00007623816,0.024123928,0.03467832],"study_design_scores_gemma":[0.004747012,0.0025455412,0.60116106,0.0001479754,0.000032660606,0.000023499037,0.0015051044,0.02127933,0.025720047,0.005610652,0.33594626,0.0012808576],"about_ca_topic_score_codex":0.00049761514,"about_ca_topic_score_gemma":0.000613604,"teacher_disagreement_score":0.31182232,"about_ca_system_score_codex":0.00010426301,"about_ca_system_score_gemma":0.0000027926187,"threshold_uncertainty_score":0.999865},"labels":[],"label_agreement":null},{"id":"W1654083295","doi":"10.1029/2003wr002997","title":"Analytical solutions for leakage rates through abandoned wells","year":2004,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Groundwater flow and contamination studies","field":"Environmental Science","cited_by":216,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Alberta Energy","funders":"","keywords":"Aquifer; Laplace transform; Superposition principle; Slug test; Injection well; Leakage (economics); Geology; Petroleum engineering; Groundwater; Mathematics; Mathematical analysis; Geotechnical engineering","score_opus":0.09220234033315582,"score_gpt":0.3528731229232567,"score_spread":0.26067078259010085,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1654083295","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.978784,0.00007201376,0.007345069,0.0054176236,0.000046283367,0.0004711239,0.000009558079,0.000046967347,0.007807357],"genre_scores_gemma":[0.9740262,0.000016522567,0.0002672035,0.00012293448,0.00008168805,0.0001567694,0.000015985499,0.000016628836,0.02529604],"study_design_codex":"qualitative","study_design_gemma":"not_applicable","domain_scores_codex":[0.9977755,0.00010723066,0.00019915585,0.00037681396,0.0006104114,0.00093087833],"domain_scores_gemma":[0.9994754,0.00011099033,0.000014076938,0.00024793824,0.000059787035,0.00009178349],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0010029209,0.00012238152,0.0001560751,0.000069639595,0.0010181792,0.0001416728,0.0003214375,0.00006269989,0.0006874889],"category_scores_gemma":[0.00005951056,0.00008000832,0.000077467426,0.00028763578,0.00059210946,0.0002248209,0.0005329984,0.00018553622,0.0020105126],"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":[0.002177146,0.0041892007,0.15297951,0.00044030102,0.0010662769,0.00031407134,0.30095276,0.024798099,0.2856453,0.023912227,0.14712377,0.056401324],"study_design_scores_gemma":[0.0017216514,0.00028608195,0.018761918,0.000018038794,0.000017203487,0.0000067591905,0.0015567061,0.0005934038,0.03307702,0.0052704266,0.93842167,0.0002691295],"about_ca_topic_score_codex":0.0011398514,"about_ca_topic_score_gemma":0.00023842753,"teacher_disagreement_score":0.7912979,"about_ca_system_score_codex":0.00019142547,"about_ca_system_score_gemma":0.000006829183,"threshold_uncertainty_score":0.99876654},"labels":[],"label_agreement":null},{"id":"W1654325466","doi":"10.1029/2002wr001302","title":"Role and character of seasonal peat soil deformation on the hydrology of undisturbed and cutover peatlands","year":2003,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Peatlands and Wetlands Ecology","field":"Environmental Science","cited_by":213,"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":"Natural Sciences and Engineering Research Council of Canada","keywords":"Peat; Water table; Hydrology (agriculture); Hydraulic conductivity; Bog; Geology; Soil science; Water content; Environmental science; Water level; Saturation (graph theory); Soil water; Groundwater; Geotechnical engineering; Ecology","score_opus":0.016174252469143117,"score_gpt":0.25051647008248024,"score_spread":0.23434221761333712,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1654325466","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9818733,0.00003717515,0.0000013579697,0.0005166153,0.000008521701,0.00012158739,0.0000053434273,0.00000325392,0.017432896],"genre_scores_gemma":[0.99898,0.00004409865,0.0000067900846,0.00005936461,0.000014693,0.000011938021,0.000013391235,0.0000056258286,0.0008640886],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987815,0.00030719975,0.00014583938,0.00017043263,0.00030413823,0.00029090847],"domain_scores_gemma":[0.9995926,0.00014542743,0.000033486645,0.00015609575,0.000013675281,0.00005870523],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009897248,0.000076290344,0.00013352219,0.00005894511,0.00014101225,0.00001842583,0.00012297247,0.00006777302,0.0005673361],"category_scores_gemma":[0.00004074647,0.000038360904,0.000021955082,0.00007700034,0.00048725712,0.00005930263,0.00016744438,0.00016893314,0.000022804234],"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":[0.00025109857,0.00009368938,0.93695927,0.000029383618,0.000027283333,0.000003867385,0.007670812,0.000056642784,0.052788045,0.00038242945,0.00041582668,0.0013216608],"study_design_scores_gemma":[0.00086988375,0.0006882879,0.9042188,0.0000150650285,0.0000102723425,0.000038578713,0.00044682308,0.0017326883,0.031052133,0.00196765,0.058831565,0.0001282466],"about_ca_topic_score_codex":0.00016976992,"about_ca_topic_score_gemma":0.000099557874,"teacher_disagreement_score":0.05841574,"about_ca_system_score_codex":0.000021143134,"about_ca_system_score_gemma":0.0000033084575,"threshold_uncertainty_score":0.62119323},"labels":[],"label_agreement":null},{"id":"W1655027136","doi":"10.1029/2002wr001442","title":"Contaminant migration from an axisymmetric source in a porous medium","year":2003,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Groundwater flow and contamination studies","field":"Environmental Science","cited_by":24,"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":"Killam Trusts; Canada Council for the Arts","keywords":"Rotational symmetry; Porous medium; Mechanics; Advection; Boundary value problem; Porosity; Attenuation; Materials science; Geotechnical engineering; Geology; Physics; Mathematical analysis; Thermodynamics; Mathematics; Optics","score_opus":0.03255525202349119,"score_gpt":0.29661862789416726,"score_spread":0.2640633758706761,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1655027136","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9949991,0.000116262425,0.00046308074,0.0005753878,0.00005762284,0.00027683922,0.0000030989443,0.000031374886,0.003477224],"genre_scores_gemma":[0.98663634,0.000020393514,0.00010728979,0.000094506715,0.00004314992,0.00008778024,0.000023074568,0.000019814244,0.012967627],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9967133,0.0007758769,0.00028906064,0.0005171826,0.0010090874,0.00069551315],"domain_scores_gemma":[0.9993157,0.00012811876,0.000026837299,0.00035062345,0.000034816207,0.00014389897],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0017369404,0.00015346329,0.0001925288,0.00030749137,0.00029592545,0.00014410891,0.0003542374,0.00009168277,0.0012036591],"category_scores_gemma":[0.00010865496,0.00010582752,0.00003372479,0.00062091905,0.00025438823,0.00029134398,0.00023696905,0.00030800956,0.0011566435],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009801339,0.00046823878,0.81400687,0.000010669136,0.000024747602,0.000115231436,0.06252278,0.00022142872,0.050733518,0.000030728588,0.0011003012,0.070667475],"study_design_scores_gemma":[0.0008457337,0.00025424606,0.32043302,0.000013817029,0.000005458923,0.0000071644827,0.0050175753,0.0005875692,0.041314583,0.0003283798,0.63092595,0.00026650517],"about_ca_topic_score_codex":0.017240547,"about_ca_topic_score_gemma":0.012074711,"teacher_disagreement_score":0.62982565,"about_ca_system_score_codex":0.000242749,"about_ca_system_score_gemma":0.000006896678,"threshold_uncertainty_score":0.99970937},"labels":[],"label_agreement":null},{"id":"W1655185394","doi":"10.1002/2015wr016892","title":"Water security and the science agenda","year":2015,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":173,"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":"Water security; Environmental resource management; Context (archaeology); Discipline; Integrated water resources management; Food security; Anthropocene; Environmental planning; Water resources; Business; Political science; Environmental science; Geography; Agriculture; Ecology","score_opus":0.059678637585851596,"score_gpt":0.3155966571812453,"score_spread":0.25591801959539373,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1655185394","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91316175,0.00005044957,0.0000028791806,0.009717886,0.00004584435,0.00024062747,4.2023572e-7,0.000022136208,0.07675799],"genre_scores_gemma":[0.9946866,0.000021339243,0.000014859656,0.0002874029,0.00003992269,0.000037288275,0.0000010173517,0.000006321197,0.004905233],"study_design_codex":"qualitative","study_design_gemma":"not_applicable","domain_scores_codex":[0.9975043,0.00035237876,0.00011284814,0.0003712499,0.00087471964,0.0007845177],"domain_scores_gemma":[0.9994698,0.000046919457,0.0000075987246,0.0003180988,0.000025368205,0.00013221441],"candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.007478439,0.000092719914,0.000110219946,0.000087746725,0.0010635273,0.00014673828,0.00060699094,0.00003387725,0.0003938996],"category_scores_gemma":[0.00007490693,0.000036124347,0.000020192841,0.00019252764,0.0075068697,0.00020943389,0.0032842844,0.00026687732,0.0019778872],"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":[0.001618317,0.0002308874,0.08316497,0.000058770718,0.00012341529,0.00019707136,0.82877797,0.0010278706,0.021983663,0.0013013151,0.05773273,0.0037830016],"study_design_scores_gemma":[0.0022075267,0.00017511158,0.0029646524,0.000006126857,0.00001419353,0.000017297038,0.0042555146,0.0016471965,0.053880766,0.035502728,0.8990732,0.00025572657],"about_ca_topic_score_codex":0.00091240864,"about_ca_topic_score_gemma":0.00005900333,"teacher_disagreement_score":0.8413404,"about_ca_system_score_codex":0.000065952794,"about_ca_system_score_gemma":0.0000028884058,"threshold_uncertainty_score":0.9987992},"labels":[],"label_agreement":null},{"id":"W1655231529","doi":"10.1029/2008wr007370","title":"Modeling of high‐latitude spring freshet from AMSR‐E passive microwave observations","year":2009,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":12,"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":"Snowmelt; Streamflow; Snow; Environmental science; Water year; Tributary; Latitude; Climatology; Surface runoff; Meltwater; Hydrology (agriculture); Meteorology; Geology; Drainage basin; Geography","score_opus":0.08281525254341035,"score_gpt":0.27866562073007406,"score_spread":0.1958503681866637,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1655231529","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99540263,0.00091440807,0.0007058403,0.0017166692,0.00007283779,0.0002094456,0.000077400124,0.000030013463,0.0008707343],"genre_scores_gemma":[0.99368787,0.00019156252,0.00543532,0.00011090474,0.00019958102,0.0000035675878,0.00012711955,0.000004987772,0.00023910194],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99809456,0.00011351168,0.00032894698,0.00032155612,0.0006163801,0.00052507035],"domain_scores_gemma":[0.99911535,0.0001837081,0.00003352682,0.00033129036,0.00022542254,0.00011068704],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035955088,0.0001258894,0.00022006643,0.00008994689,0.0005051282,0.00010160056,0.00039964233,0.000072300034,0.00075983413],"category_scores_gemma":[0.00006560271,0.00008898113,0.000069056296,0.00034304193,0.00011860362,0.0001624658,0.000062074425,0.00028609583,0.00010293921],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000122349,0.00009252617,0.35929206,0.000025052059,0.000127757,0.000029569146,0.0087714745,0.5861336,0.0064042583,0.00036693763,0.00081565994,0.037818737],"study_design_scores_gemma":[0.00039767407,0.0001629795,0.7211069,0.000059353493,0.000015590122,7.1377e-7,0.0012734665,0.25013265,0.0020966276,0.008815306,0.015720127,0.00021864504],"about_ca_topic_score_codex":0.048327778,"about_ca_topic_score_gemma":0.012151396,"teacher_disagreement_score":0.3618148,"about_ca_system_score_codex":0.000011617515,"about_ca_system_score_gemma":0.000017871234,"threshold_uncertainty_score":0.9580095},"labels":[],"label_agreement":null},{"id":"W1655546622","doi":"10.1029/2003wr002655","title":"Stochastic simulation of radionuclide migration in discretely fractured rock near the Äspö Hard Rock Laboratory","year":2004,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Groundwater flow and contamination studies","field":"Environmental Science","cited_by":141,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Golder Associates (Canada)","funders":"","keywords":"Geology; Fracture (geology); Residence time (fluid dynamics); Geotechnical engineering; Flow (mathematics); Mineralogy; Soil science; Mechanics; Physics","score_opus":0.028268823414327453,"score_gpt":0.29361784221499404,"score_spread":0.2653490188006666,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1655546622","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9896352,0.00009221746,0.008372271,0.0013947308,0.000028163553,0.00035875782,0.000005382855,0.000015537424,0.00009770555],"genre_scores_gemma":[0.9987849,0.0000041356034,0.00004208458,0.000056528297,0.0000363952,0.000046438112,0.000010923545,0.00001328393,0.0010053088],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9979949,0.00027178254,0.00027056044,0.00027071306,0.00082638767,0.000365671],"domain_scores_gemma":[0.99944735,0.00013489572,0.000041957526,0.00026720107,0.000056206263,0.000052399173],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008217115,0.00011414102,0.00014324955,0.00009541216,0.00043667617,0.00012690223,0.0002957034,0.000064926695,0.00020712588],"category_scores_gemma":[0.00009548649,0.0000656638,0.000040171788,0.00038629878,0.00019012784,0.00023242553,0.00023485176,0.00026454928,0.00036878878],"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":[0.00008693046,0.00005954894,0.010784268,0.000010300509,0.0000123525,0.000004825111,0.036166433,0.93598026,0.015780184,0.000006596093,0.00009843615,0.0010098694],"study_design_scores_gemma":[0.0027733296,0.00053135154,0.5968563,0.00012338006,0.000027286902,0.0000037108177,0.004449343,0.1789268,0.04609911,0.0012153256,0.16843745,0.00055662275],"about_ca_topic_score_codex":0.001505804,"about_ca_topic_score_gemma":0.0009954117,"teacher_disagreement_score":0.75705343,"about_ca_system_score_codex":0.0002039828,"about_ca_system_score_gemma":0.000012710761,"threshold_uncertainty_score":0.47401565},"labels":[],"label_agreement":null},{"id":"W1656617355","doi":"10.1002/2014wr016862","title":"Morphodynamics: Rivers beyond steady state","year":2015,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Sediment Transport Processes","field":"Environmental Science","cited_by":236,"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 British Columbia","funders":"","keywords":"Beach morphodynamics; Sediment transport; Geology; River morphology; Channel (broadcasting); Riparian zone; Hydrology (agriculture); Sediment; Geomorphology; Geotechnical engineering; Ecology; Computer science","score_opus":0.03954935729225206,"score_gpt":0.2939305019798542,"score_spread":0.25438114468760215,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1656617355","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93540627,0.00006759955,0.000063594394,0.00064777746,0.000048994752,0.0001738606,0.0000071856985,0.00005155927,0.06353315],"genre_scores_gemma":[0.98514086,0.000018210638,0.00016271678,0.00012200223,0.00003079754,0.000022317276,0.000023994857,0.000017531695,0.014461545],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9975238,0.00021586452,0.00016931444,0.00038790284,0.0009499279,0.0007531993],"domain_scores_gemma":[0.99931127,0.00004223613,0.000015593767,0.00028610215,0.000031655643,0.00031311906],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0016782457,0.00012140333,0.00012951312,0.000103043574,0.00023785011,0.0000530653,0.00053099653,0.00008212235,0.0030633274],"category_scores_gemma":[0.000022687842,0.000083386345,0.00003162795,0.00023585235,0.0007438522,0.00023422705,0.0002966592,0.00038673598,0.0060688993],"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":[0.0015775237,0.0008452717,0.66142374,0.00010690394,0.0001735054,0.0013664817,0.17796575,0.065028384,0.03580195,0.00014125358,0.027908454,0.027660789],"study_design_scores_gemma":[0.0012868412,0.00055063696,0.0056521064,0.000011070726,0.00001162016,0.000019093106,0.0012630043,0.0037763866,0.023520023,0.013202602,0.95030504,0.0004015964],"about_ca_topic_score_codex":0.0009743688,"about_ca_topic_score_gemma":0.0002942949,"teacher_disagreement_score":0.92239654,"about_ca_system_score_codex":0.00012813177,"about_ca_system_score_gemma":0.0000119045,"threshold_uncertainty_score":0.99784803},"labels":[],"label_agreement":null},{"id":"W1656763009","doi":"10.1029/2003wr002440","title":"Bed load transport in managed steep‐gradient headwater streams of southeastern Alaska","year":2003,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Sediment Transport Processes","field":"Environmental Science","cited_by":63,"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","funders":"U.S. Forest Service; Pacific Northwest Research Station; Natural Sciences and Engineering Research Council of Canada; University of British Columbia; U.S. Department of Agriculture","keywords":"Bed load; STREAMS; Debris; Landslide; Hydrology (agriculture); Storm; Disturbance (geology); Debris flow; Channel (broadcasting); Riparian zone; Sediment; Sediment transport; Environmental science; Geology; Stream bed; Mass movement; Geomorphology; Geotechnical engineering; Ecology; Oceanography; Habitat","score_opus":0.024578570475812286,"score_gpt":0.2669862831765296,"score_spread":0.24240771270071731,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1656763009","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97769046,0.00007391962,0.000018306555,0.00022552614,0.000026942163,0.00032833626,0.0000058966198,0.000020823549,0.021609763],"genre_scores_gemma":[0.9957249,0.000020290607,0.000052446478,0.000038455728,0.000010287011,0.000042880998,0.000012963676,0.000021423219,0.0040763114],"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9969142,0.00034091724,0.00040399883,0.00049799075,0.0009781448,0.00086471316],"domain_scores_gemma":[0.99939644,0.0000441552,0.000027179236,0.0003620183,0.000021895055,0.00014829155],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0019469709,0.00017529617,0.00026409572,0.00016965171,0.0001304607,0.000014484148,0.0004333101,0.0001340992,0.004388743],"category_scores_gemma":[0.00001201728,0.00012064681,0.00007055902,0.00034026412,0.00060485693,0.00013862702,0.000062176376,0.00041667913,0.00053082104],"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":[0.0002862298,0.00039103173,0.9602821,0.000087704306,0.000026386197,0.00014740604,0.025655346,0.0017876151,0.01038084,0.000019835159,0.000025678393,0.0009098142],"study_design_scores_gemma":[0.0058692596,0.0012958316,0.28239658,0.00021353552,0.000053006504,0.000035154757,0.004810426,0.0004348841,0.49118826,0.002905056,0.20971899,0.0010790001],"about_ca_topic_score_codex":0.0009827347,"about_ca_topic_score_gemma":0.0021847785,"teacher_disagreement_score":0.67788553,"about_ca_system_score_codex":0.000056332028,"about_ca_system_score_gemma":0.00001227738,"threshold_uncertainty_score":0.99652135},"labels":[],"label_agreement":null},{"id":"W1657676490","doi":"10.1029/2002wr001631","title":"Stochastic analysis of transverse dispersion in density‐coupled transport in aquifers","year":2003,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Groundwater flow and contamination studies","field":"Environmental Science","cited_by":28,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Golder Associates (Canada)","funders":"","keywords":"Antisymmetric relation; Isotropy; Mechanics; Anisotropy; Tensor (intrinsic definition); Strain rate tensor; Plume; Porous medium; Physics; Dispersion (optics); Cauchy stress tensor; Antisymmetric tensor; Classical mechanics; Statistical physics; Geology; Geometry; Mathematics; Geotechnical engineering; Porosity; Thermodynamics; Optics; Quantum mechanics; Mathematical physics","score_opus":0.02684586516072889,"score_gpt":0.28118925797881195,"score_spread":0.25434339281808305,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1657676490","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9978766,0.000023809447,0.0009439403,0.00009281199,0.000011730009,0.00019702889,0.000001971081,0.00000572234,0.0008464193],"genre_scores_gemma":[0.99834204,0.000008304899,0.000022491235,0.000009438258,0.000002284492,0.000022645123,0.000007907536,0.0000069957287,0.0015779086],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9980166,0.0002537144,0.00027692303,0.00031107492,0.00069857034,0.0004430947],"domain_scores_gemma":[0.99964803,0.00006370353,0.000015358488,0.00019282801,0.000017788245,0.0000622939],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0013298031,0.000098149685,0.0002622427,0.00065938116,0.00007991403,0.000011726,0.0001874361,0.00005320052,0.000995999],"category_scores_gemma":[0.000021267622,0.000071643364,0.00008381333,0.001441006,0.00027369917,0.000100172445,0.0000494734,0.00018984296,0.00006334429],"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":[0.0001498501,0.00023637341,0.88889784,0.000017452423,0.000091584436,0.000053250507,0.04222105,0.026655262,0.040409606,0.000021313084,0.000007892757,0.0012385111],"study_design_scores_gemma":[0.0011322035,0.00009735758,0.97189486,0.000022699289,0.00007556129,0.0000010600193,0.0056430562,0.010250129,0.008126413,0.00005127295,0.0025035169,0.00020186316],"about_ca_topic_score_codex":0.004189654,"about_ca_topic_score_gemma":0.013042504,"teacher_disagreement_score":0.08299702,"about_ca_system_score_codex":0.00015424771,"about_ca_system_score_gemma":0.000003914478,"threshold_uncertainty_score":0.9999172},"labels":[],"label_agreement":null},{"id":"W1657709721","doi":"10.1029/2003wr002596","title":"Status quo analysis of the Flathead River conflict","year":2004,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Game Theory and Voting Systems","field":"Economics, Econometrics and Finance","cited_by":70,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Wilfrid Laurier University; University of Waterloo","funders":"","keywords":"Flathead; Status quo; Conflict resolution; Conflict analysis; Compromise; Operations research; Drainage basin; Politics; Conflict management; Decision maker; Political science; Environmental resource management; Environmental planning; Geography; Environmental science; Engineering; Law; Fishery; Cartography; Fish <Actinopterygii>","score_opus":0.10980903225742662,"score_gpt":0.31468045960861474,"score_spread":0.20487142735118813,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1657709721","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9789202,0.0005099406,0.000058291942,0.0003231081,0.00007808564,0.0001818756,0.00007276656,0.000014974597,0.01984071],"genre_scores_gemma":[0.99388975,0.00002469781,0.000020701744,0.000028688104,0.000052131865,0.000012007756,0.000006656512,0.000015012899,0.0059503797],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99835217,0.00015771894,0.00046658877,0.00030936798,0.00015334506,0.00056078617],"domain_scores_gemma":[0.99900174,0.00008941634,0.00010830665,0.00064409286,0.0000735625,0.00008288169],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002739038,0.00009595839,0.00037224338,0.0006486366,0.00021385189,0.00006810181,0.0005341483,0.000082349754,0.00038626156],"category_scores_gemma":[0.00012199788,0.00006192334,0.00023554267,0.0009952871,0.00039808583,0.00006205464,0.00020775436,0.00028230963,0.00058520783],"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":[0.00017694116,0.00032339897,0.56499016,0.00016332435,0.0022454576,0.000011547894,0.16638385,0.012175113,0.003341305,0.24947214,0.00023438454,0.00048237038],"study_design_scores_gemma":[0.0016522902,0.00024165004,0.28953025,0.00009090919,0.00009977955,0.0000035860503,0.0016372832,0.0013264386,0.018591218,0.058618233,0.6277353,0.00047303614],"about_ca_topic_score_codex":0.004063124,"about_ca_topic_score_gemma":0.00010543368,"teacher_disagreement_score":0.62750095,"about_ca_system_score_codex":0.00009454638,"about_ca_system_score_gemma":0.000010151805,"threshold_uncertainty_score":0.7521858},"labels":[],"label_agreement":null},{"id":"W1657726692","doi":"10.1029/2001wr000923","title":"Radar frequency dielectric dispersion in sandstone: Implications for determination of moisture and clay content","year":2003,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":92,"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":"Dielectric; Saturation (graph theory); Water content; Mineralogy; Geology; Materials science; Clay minerals; Montmorillonite; Lithology; Permittivity; Dispersion (optics); Moisture; Geotechnical engineering; Composite material; Optics; Petrology","score_opus":0.05971579963578969,"score_gpt":0.337224259819425,"score_spread":0.2775084601836353,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1657726692","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99051654,0.00042691221,0.0069730943,0.00029105865,0.000009763423,0.00048444356,0.000010971974,0.000018458159,0.0012687498],"genre_scores_gemma":[0.992794,0.00007555509,0.006754976,0.0000038599705,0.000012629865,0.00023128258,0.000008593547,0.0000128419415,0.00010626528],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9992829,0.00007647981,0.00015236452,0.00014308661,0.00010498391,0.00024017788],"domain_scores_gemma":[0.9995369,0.0001675017,0.00000988899,0.00015628937,0.00007973451,0.000049696533],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039789852,0.000064068416,0.00011062223,0.00015395298,0.0000823975,0.000018746072,0.00009137388,0.000053709897,0.0000056313424],"category_scores_gemma":[0.000071721006,0.00004716578,0.000027453298,0.00024745127,0.000057377874,0.0000390076,0.00001700104,0.00014375466,0.0000020675814],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000007786483,0.000052046,0.0029148622,0.00010616749,0.0000054628244,2.2413026e-7,0.00088990707,0.00002446876,0.9694344,0.0037175196,0.000030793402,0.022816356],"study_design_scores_gemma":[0.0017857039,0.00042404718,0.3168467,0.00010018204,0.000024236235,0.000007967183,0.0005679561,0.006138111,0.5647861,0.07845525,0.030390812,0.0004729247],"about_ca_topic_score_codex":0.00007824727,"about_ca_topic_score_gemma":0.000020771267,"teacher_disagreement_score":0.4046483,"about_ca_system_score_codex":0.00003666415,"about_ca_system_score_gemma":0.000003976066,"threshold_uncertainty_score":0.19233647},"labels":[],"label_agreement":null},{"id":"W1658614109","doi":"10.1029/2006wr005639","title":"Multivariate<i>L</i>‐moment homogeneity test","year":2007,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Drought Analysis","field":"Environmental Science","cited_by":97,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hydro-Québec; Institut National de la Recherche Scientifique","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Multivariate statistics; Gumbel distribution; Homogeneity (statistics); Copula (linguistics); Bivariate analysis; Statistics; Mathematics; Econometrics; Multivariate analysis; Flood myth; Logistic regression; Marginal distribution; Statistical hypothesis testing; Univariate; Random variable; Extreme value theory; Geography","score_opus":0.0335918129504526,"score_gpt":0.32363437042056264,"score_spread":0.29004255747011004,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1658614109","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93798584,0.000029166538,0.0003300695,0.0007406794,0.000027676704,0.00015325309,0.000002615261,0.000040677758,0.06069001],"genre_scores_gemma":[0.98589104,0.0000067495907,0.0003052032,0.00014406399,0.000100899975,0.0000146634075,0.000008674828,0.000014648557,0.013514029],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9972067,0.0002086741,0.0002376494,0.00045378707,0.00085904653,0.0010341295],"domain_scores_gemma":[0.99903166,0.00023543746,0.000019651452,0.00044940232,0.000020631182,0.00024324178],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.004340081,0.00012613444,0.00014843085,0.0001558411,0.0005432603,0.000049737893,0.0005084559,0.00012886075,0.0077199726],"category_scores_gemma":[0.00008275022,0.000082781036,0.00007611166,0.0004867498,0.00056807155,0.00010468218,0.0007172808,0.0004151098,0.00929215],"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":[0.00013585777,0.0005150631,0.7059143,0.000009181373,0.000050427527,0.00024681297,0.007971959,0.0005612635,0.2716634,0.000024729834,0.0039046232,0.009002398],"study_design_scores_gemma":[0.0004428104,0.00018729903,0.15006214,0.0000046432915,0.000012549551,0.000011959823,0.00020852323,0.00075609743,0.17815153,0.0007013659,0.6692237,0.00023733049],"about_ca_topic_score_codex":0.0026268763,"about_ca_topic_score_gemma":0.0009728009,"teacher_disagreement_score":0.66531914,"about_ca_system_score_codex":0.00016409195,"about_ca_system_score_gemma":0.000003098474,"threshold_uncertainty_score":0.9931871},"labels":[],"label_agreement":null},{"id":"W1658739109","doi":"10.1029/2003wr001971","title":"Quantifying variability in stream channel morphology","year":2003,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Sediment Transport Processes","field":"Environmental Science","cited_by":24,"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 British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Channel (broadcasting); Large woody debris; Range (aeronautics); STREAMS; Debris; Statistics; Hydrology (agriculture); Mathematics; Environmental science; Geology; Geography; Computer science; Ecology; Engineering; Meteorology; Biology; Geotechnical engineering","score_opus":0.06680494187318581,"score_gpt":0.32354265707130286,"score_spread":0.25673771519811706,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1658739109","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9695165,0.000028976288,0.00007235763,0.00035823934,0.00003616805,0.00019996052,0.0000013965837,0.000024442099,0.02976196],"genre_scores_gemma":[0.99893606,0.0000150241485,0.000076597506,0.00007034599,0.000013030578,0.00004730953,0.0000060917814,0.000011150971,0.0008244001],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9971915,0.0009069273,0.00021661645,0.00047964035,0.0004086842,0.00079663197],"domain_scores_gemma":[0.9994126,0.00016865935,0.000012278153,0.00029215124,0.000011150287,0.0001031357],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0049214773,0.00010893989,0.0001536211,0.000119604694,0.0002104699,0.000022057497,0.00032708963,0.00014506832,0.007860682],"category_scores_gemma":[0.00014153194,0.000077551835,0.000029204331,0.00034135065,0.0005308819,0.00012485903,0.00011563466,0.0004900344,0.0011020678],"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":[0.000113604976,0.00044123243,0.9590729,0.000045282617,0.00001128633,0.00019265134,0.009606032,0.0038718823,0.025332829,0.00018376694,0.00019779748,0.00093072385],"study_design_scores_gemma":[0.00286733,0.00075815845,0.24518862,0.000053886255,0.000017225006,0.000095903146,0.0016476883,0.0031009938,0.34736663,0.027328951,0.37048993,0.0010846712],"about_ca_topic_score_codex":0.0007263897,"about_ca_topic_score_gemma":0.00047121942,"teacher_disagreement_score":0.7138843,"about_ca_system_score_codex":0.00007610924,"about_ca_system_score_gemma":0.000007119665,"threshold_uncertainty_score":0.9996757},"labels":[],"label_agreement":null},{"id":"W1659454050","doi":"10.1029/2006wr004861","title":"Influence of stream bank seepage during low‐flow conditions on riparian zone hydrology","year":2006,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Sediment Transport Processes","field":"Environmental Science","cited_by":39,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McMaster University; York University","funders":"","keywords":"Riparian zone; Hydrology (agriculture); Perennial stream; STREAMS; Bank; Inflow; Environmental science; Geology; Water table; Groundwater; Geomorphology; Ecology; Geotechnical engineering","score_opus":0.011103796747803074,"score_gpt":0.2599829376891791,"score_spread":0.24887914094137606,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1659454050","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98810697,0.000018821998,0.0000064923447,0.00043630035,0.000012841774,0.00020629673,0.000023379718,0.000039808445,0.011149069],"genre_scores_gemma":[0.9971161,0.000009786034,0.000027119891,0.00005700775,0.000044979977,0.000044212866,0.00005090784,0.000015428932,0.002634444],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9977875,0.00019749152,0.00029196695,0.0004196926,0.00060572196,0.0006976358],"domain_scores_gemma":[0.9994056,0.000096099495,0.00003473374,0.0003403299,0.000022919245,0.00010026783],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0005493631,0.00014089678,0.00018872389,0.00017153488,0.0004000826,0.000019235402,0.00043185463,0.00014907472,0.0035035089],"category_scores_gemma":[0.000017108554,0.00010610315,0.000047129597,0.0002721537,0.0010492589,0.00016051314,0.0001503023,0.00040911432,0.0010720236],"study_design_candidate":"bench_or_experimental","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":[0.00027379743,0.0005127249,0.12500651,0.0000774511,0.000026352538,0.00017560643,0.001986338,0.57733464,0.29414326,0.00006491397,0.0002923165,0.00010610062],"study_design_scores_gemma":[0.0012181347,0.0005436556,0.4335484,0.000056773733,0.000015936022,0.00002070789,0.00006046954,0.0018352172,0.5421049,0.001471761,0.01881877,0.0003052751],"about_ca_topic_score_codex":0.0014015164,"about_ca_topic_score_gemma":0.00049292104,"teacher_disagreement_score":0.5754994,"about_ca_system_score_codex":0.00005513768,"about_ca_system_score_gemma":0.000006687209,"threshold_uncertainty_score":0.99970573},"labels":[],"label_agreement":null},{"id":"W1659654710","doi":"10.1029/2005wr004540","title":"A framework for urban storm water modeling and control analysis with analytical models","year":2006,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Urban Stormwater Management Solutions","field":"Environmental Science","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 Toronto","funders":"","keywords":"Surface runoff; Environmental science; Pollutant; Storm; First flush; Runoff model; Stormwater; Urban runoff; Probability distribution; Storm Water Management Model; Hydrology (agriculture); Transformation (genetics); Runoff curve number; Water quality; Meteorology; Engineering; Statistics; Mathematics; Geography; Geotechnical engineering","score_opus":0.04725014700758836,"score_gpt":0.2949750365206263,"score_spread":0.24772488951303792,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1659654710","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.71160007,0.00003110197,0.28499568,0.0008595216,0.0000070424885,0.0005069019,0.000011139305,0.000045219957,0.0019433653],"genre_scores_gemma":[0.9922611,0.0000021300614,0.0032797437,0.000059071244,0.000091657676,0.00018212387,0.000033738255,0.000032874486,0.0040575466],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9969125,0.00014661155,0.00026660424,0.00065583247,0.00090973475,0.0011087515],"domain_scores_gemma":[0.99919266,0.00009034778,0.000017464077,0.00048132008,0.000045693552,0.00017250532],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011753421,0.00019464918,0.00028548494,0.00037838428,0.0005850084,0.00024991683,0.0003670237,0.00010610209,0.0004084188],"category_scores_gemma":[0.000010493909,0.00010854183,0.00010630231,0.00045232728,0.00045099697,0.00029527015,0.0003859695,0.0003072159,0.00011460296],"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":[0.0005330708,0.00023787857,0.113040656,0.00003962987,0.0006479574,0.000025565918,0.0060341456,0.8735058,0.001624496,0.002487464,0.0016715847,0.00015175102],"study_design_scores_gemma":[0.00064933416,0.00015028968,0.0015030586,0.00000894045,0.00028408747,0.000001528182,0.00018064279,0.9715806,0.00037863836,0.014935705,0.010076312,0.00025085808],"about_ca_topic_score_codex":0.0030431252,"about_ca_topic_score_gemma":0.00071606913,"teacher_disagreement_score":0.28171593,"about_ca_system_score_codex":0.00019941886,"about_ca_system_score_gemma":0.000002699716,"threshold_uncertainty_score":0.46003154},"labels":[],"label_agreement":null},{"id":"W1662286684","doi":"10.1029/2003wr002312","title":"Mapping near‐surface soil moisture with RADARSAT‐1 synthetic aperture radar data","year":2004,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Soil Moisture and Remote Sensing","field":"Environmental Science","cited_by":49,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Polytechnique Montréal; Université de Montréal; École de Technologie Supérieure","funders":"","keywords":"Synthetic aperture radar; Water content; Remote sensing; Environmental science; Watershed; Vegetation (pathology); Backscatter (email); Soil science; Scale (ratio); Moisture; Surface roughness; Radar; Hydrology (agriculture); Geology; Meteorology; Geography; Geotechnical engineering; Cartography","score_opus":0.03832734656400738,"score_gpt":0.2747811213977956,"score_spread":0.2364537748337882,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1662286684","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9561365,0.00029716364,0.0001966894,0.0073247137,0.000057928963,0.00037747927,0.0000069573084,0.00009973844,0.03550283],"genre_scores_gemma":[0.99023193,0.000034049364,0.00595282,0.00036572388,0.00013715378,7.652001e-7,0.000058337606,0.000065890774,0.0031533267],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.99569523,0.0002797161,0.00023453834,0.000993406,0.0016718986,0.0011251882],"domain_scores_gemma":[0.997899,0.00013938475,0.000035068024,0.0016272906,0.00003132005,0.00026793056],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0012633632,0.00027976956,0.0002632918,0.000057439862,0.00092733145,0.00034448004,0.0013565877,0.00018699997,0.00019373656],"category_scores_gemma":[0.00008604352,0.00015826087,0.00004992937,0.00055875327,0.0011234158,0.00027778107,0.0016314068,0.00096439844,0.0014108001],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013451849,0.0011616194,0.057152912,0.00047192915,0.0005660855,0.004457884,0.16552019,0.06789085,0.5543085,0.000038604,0.026623415,0.12046282],"study_design_scores_gemma":[0.0010029858,0.00017581733,0.014122018,0.00021091377,0.00001539469,0.0002581495,0.0024067615,0.0011150856,0.014780174,0.00034756362,0.96504503,0.000520081],"about_ca_topic_score_codex":0.0109191,"about_ca_topic_score_gemma":0.002987317,"teacher_disagreement_score":0.93842167,"about_ca_system_score_codex":0.00026488784,"about_ca_system_score_gemma":0.00003403915,"threshold_uncertainty_score":0.9993667},"labels":[],"label_agreement":null},{"id":"W1663293642","doi":"10.1029/2012wr011982","title":"A comparative experimental and multiphysics computational fluid dynamics study of coupled surface–subsurface flow in bed forms","year":2012,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Sediment Transport Processes","field":"Environmental Science","cited_by":112,"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":"National Science Foundation","keywords":"Multiphysics; Computational fluid dynamics; Geology; Mechanics; Flow (mathematics); Current (fluid); Turbulence; Sediment transport; Fluid dynamics; Open-channel flow; Subsurface flow; Geotechnical engineering; Sediment; Finite element method; Geomorphology; Groundwater; Engineering; Physics","score_opus":0.04043891828213835,"score_gpt":0.32837431803050837,"score_spread":0.28793539974837,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1663293642","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9988339,0.00012345603,0.00006237588,0.00003817572,0.000015004513,0.0005203681,0.0000065962186,0.000011726822,0.00038841215],"genre_scores_gemma":[0.9995696,0.000002670192,0.00026938142,0.000008979482,0.0000078125995,0.000025884387,0.000033454577,0.000009914127,0.00007233727],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9982115,0.00018738543,0.00024496144,0.00025652483,0.000614265,0.00048533408],"domain_scores_gemma":[0.9996015,0.0001166058,0.00002584797,0.00012786311,0.000019651163,0.00010852712],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008251659,0.00012796935,0.00023849476,0.000060252027,0.00017508885,0.000017537292,0.0001939647,0.000060669976,0.00033751014],"category_scores_gemma":[0.000004300982,0.00009195701,0.000019228453,0.00021722406,0.00045723477,0.0002774177,0.0001982374,0.00023508327,0.00005768441],"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":[0.00029787995,0.0018925217,0.71073556,0.00001729008,0.00002948718,0.0000055763644,0.14156704,0.11443022,0.030947423,0.0000072893304,0.000009621629,0.000060106948],"study_design_scores_gemma":[0.0030792772,0.00094632985,0.2094023,0.000016680906,0.000010100594,0.0000034754073,0.019577472,0.7238774,0.042458452,0.000141983,0.0002029885,0.00028355702],"about_ca_topic_score_codex":0.00069634925,"about_ca_topic_score_gemma":0.00043688368,"teacher_disagreement_score":0.6094472,"about_ca_system_score_codex":0.00009138304,"about_ca_system_score_gemma":0.0000044115923,"threshold_uncertainty_score":0.37498978},"labels":[],"label_agreement":null},{"id":"W1665075912","doi":"10.1029/2010wr010163","title":"Assessing preferential flow through an unsaturated waste rock pile using spectral analysis","year":2011,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Groundwater flow and contamination studies","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":true,"ca_institutions":"Okanagan University College; University of British Columbia, Okanagan Campus; University of British Columbia","funders":"","keywords":"Macropore; Pile; Flow (mathematics); Outflow; Geotechnical engineering; Aquifer; Matrix (chemical analysis); Porosity; Geology; Environmental science; Soil science; Groundwater; Materials science; Mechanics; Chemistry","score_opus":0.15996731011735188,"score_gpt":0.3535024461022033,"score_spread":0.19353513598485145,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1665075912","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98383534,0.000019239862,0.009507034,0.000031635747,0.00005647049,0.00017393271,0.000003626809,0.000054196575,0.0063185156],"genre_scores_gemma":[0.9945568,0.000005094753,0.0020898723,0.0000147334695,0.00010393086,0.0000165925,0.0000351045,0.000022157416,0.0031557202],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9968195,0.0005445186,0.00028080487,0.00058160763,0.0009439711,0.000829593],"domain_scores_gemma":[0.99932164,0.000023800123,0.000038590584,0.00041898747,0.00006183537,0.00013514793],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00074067386,0.00018804376,0.00025071437,0.00021343211,0.00079851504,0.00041208195,0.00047147952,0.000088396184,0.004742051],"category_scores_gemma":[0.000010858243,0.00012757984,0.00010897451,0.000876109,0.00022520252,0.0013455801,0.00057220634,0.00033026937,0.00040858908],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004723046,0.0010640098,0.3700438,0.000054414322,0.0014521998,0.0001616595,0.21414833,0.024522485,0.37212992,0.000041538995,0.00041535334,0.015493977],"study_design_scores_gemma":[0.0013042944,0.0005692218,0.3349857,0.000038841175,0.00053269305,0.000018710562,0.017422218,0.24640115,0.37837124,0.0006008743,0.018596731,0.0011583397],"about_ca_topic_score_codex":0.004369078,"about_ca_topic_score_gemma":0.00081313436,"teacher_disagreement_score":0.22187866,"about_ca_system_score_codex":0.00018186991,"about_ca_system_score_gemma":0.000006428,"threshold_uncertainty_score":0.9961678},"labels":[],"label_agreement":null},{"id":"W1666671662","doi":"10.1029/2005wr004589","title":"Simulation of groundwater recharge dynamics in partially saturated fractured soils incorporating spatially variable fracture apertures","year":2006,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Groundwater flow and contamination studies","field":"Environmental Science","cited_by":31,"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; Geological Survey of Canada; University of Waterloo","funders":"","keywords":"Groundwater recharge; Hydraulic conductivity; Permeability (electromagnetism); Fracture (geology); Geotechnical engineering; Vadose zone; Groundwater; Infiltration (HVAC); Geology; Soil water; Soil science; Groundwater flow; Water content; Water flow; Materials science; Aquifer; Composite material; Chemistry","score_opus":0.020297793962659003,"score_gpt":0.2772318758648768,"score_spread":0.2569340819022178,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1666671662","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98336166,0.000051126266,0.012224879,0.0006527105,0.000054864304,0.00045001865,0.000007982311,0.000043100717,0.003153672],"genre_scores_gemma":[0.9950042,0.0000020428831,0.0005607431,0.00010997606,0.000094510935,0.000047374997,0.00015102602,0.00002892415,0.0040012514],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9967707,0.0004835554,0.0005740917,0.00047913994,0.0010296714,0.0006628487],"domain_scores_gemma":[0.99908024,0.00030590533,0.00010807196,0.00032319326,0.000118585864,0.00006401492],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014901562,0.00022195127,0.0003041725,0.00023081554,0.00030328595,0.00015558938,0.0003683762,0.00021631787,0.0007156396],"category_scores_gemma":[0.00011090244,0.00015027772,0.00005425117,0.00053053856,0.00027179034,0.00036055144,0.00037253933,0.00049195497,0.00011280624],"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":[0.0002460798,0.00036499999,0.18839388,0.00006184063,0.000031316617,0.000035080513,0.005182236,0.7454379,0.05456755,0.00013006561,0.000394972,0.005154094],"study_design_scores_gemma":[0.0015883957,0.0003520345,0.1555394,0.00011056927,0.000020449383,0.0000033506844,0.0006095849,0.7077129,0.047503635,0.006594836,0.079326004,0.0006388546],"about_ca_topic_score_codex":0.016669605,"about_ca_topic_score_gemma":0.012296556,"teacher_disagreement_score":0.07893103,"about_ca_system_score_codex":0.00043089772,"about_ca_system_score_gemma":0.000013552867,"threshold_uncertainty_score":0.9898785},"labels":[],"label_agreement":null},{"id":"W1666764420","doi":"10.1029/2001wr001046","title":"A synthetic aperture radar–based model to assess historical changes in lowland floodplain hydroperiod","year":2002,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Flood Risk Assessment and Management","field":"Environmental Science","cited_by":34,"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":"Canadian Space Agency; U.S. Geological Survey; Nature Conservancy","keywords":"Floodplain; Hydrology (agriculture); Riparian zone; Environmental science; Flood myth; Wetland; Flooding (psychology); Physical geography; Geology; Geography; Habitat; Ecology","score_opus":0.08702647817665626,"score_gpt":0.3016330135198329,"score_spread":0.21460653534317664,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1666764420","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95292705,0.00012835342,0.0005639427,0.017752044,0.00005882385,0.0008552299,0.0000047764865,0.00006561925,0.027644148],"genre_scores_gemma":[0.97214115,0.00003313271,0.0011671841,0.00048249264,0.000048055277,0.0002016092,0.0000055719092,0.000035056906,0.025885744],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.99668044,0.00031210113,0.00020140751,0.00063333334,0.0012365505,0.0009361965],"domain_scores_gemma":[0.99913377,0.00008812912,0.00001580772,0.0004995903,0.0000116584015,0.0002510585],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0011297846,0.0001955137,0.00022407185,0.00032978752,0.00024076749,0.000138007,0.00066176796,0.00009739446,0.002870853],"category_scores_gemma":[0.0000538559,0.00013213886,0.00004734042,0.00047769395,0.00011370807,0.000100657664,0.0006801183,0.00040635653,0.0015820189],"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":[0.0008556423,0.0049960376,0.061584264,0.00044469675,0.0001091218,0.001253687,0.054807622,0.25480717,0.29322946,0.000084379484,0.28090993,0.04691799],"study_design_scores_gemma":[0.0005958407,0.0002595308,0.00062046625,0.000041080733,0.0000058594355,0.0000016119749,0.00014448876,0.38766226,0.0028960973,0.000055981036,0.607417,0.0002998119],"about_ca_topic_score_codex":0.0013208246,"about_ca_topic_score_gemma":0.0032688873,"teacher_disagreement_score":0.32650703,"about_ca_system_score_codex":0.00094489433,"about_ca_system_score_gemma":0.0000038300354,"threshold_uncertainty_score":0.99919534},"labels":[],"label_agreement":null},{"id":"W1667130762","doi":"10.1029/2008wr007532","title":"Quantitative analysis of seabed mixing and intertidal zone discharge in coastal aquifers","year":2009,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Groundwater and Isotope Geochemistry","field":"Earth and Planetary Sciences","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":"Golder Associates (Canada); University of British Columbia","funders":"","keywords":"Intertidal zone; Submarine groundwater discharge; Aquifer; Dilution; Groundwater; Seawater; Geology; Hydrology (agriculture); Submarine pipeline; Environmental science; Groundwater discharge; Oceanography; Groundwater flow; Geotechnical engineering","score_opus":0.03745477810833633,"score_gpt":0.302907808226255,"score_spread":0.2654530301179187,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1667130762","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9966818,0.00018780614,0.000029531735,0.00029486476,0.000011370628,0.00009781216,0.00004433664,0.000008343194,0.0026441154],"genre_scores_gemma":[0.9990501,0.000020032196,0.00011396609,0.000020912752,0.00001528959,8.947349e-7,0.0001402566,0.0000020403033,0.0006365057],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9983447,0.00020610003,0.00024131965,0.00028569996,0.00043255958,0.0004896164],"domain_scores_gemma":[0.9995372,0.0001089918,0.00002220751,0.00015832011,0.000058427697,0.00011480444],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009482332,0.000100744204,0.00025809344,0.0005541204,0.00009585066,0.00009298824,0.00021931015,0.000052733783,0.0005983399],"category_scores_gemma":[0.000033233468,0.00006623047,0.00005739925,0.00067305187,0.00021222373,0.00014975494,0.000045026823,0.00025142997,0.000023959223],"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":[0.00039613323,0.000047352878,0.9423398,0.000036914713,0.00012322258,0.00002935455,0.015485084,0.0004462417,0.036095228,0.000010683035,0.000026717913,0.0049632704],"study_design_scores_gemma":[0.0004002835,0.00041023185,0.95490456,0.000036218607,0.000032750264,0.0000034105174,0.004095508,0.020749204,0.018373398,0.00018244717,0.00065616233,0.00015580848],"about_ca_topic_score_codex":0.0058568763,"about_ca_topic_score_gemma":0.004794931,"teacher_disagreement_score":0.020302963,"about_ca_system_score_codex":0.000004480028,"about_ca_system_score_gemma":0.000008001988,"threshold_uncertainty_score":0.8853884},"labels":[],"label_agreement":null},{"id":"W1667523122","doi":"10.1002/wrcr.20191","title":"Threshold behavior in a fissured granitic catchment in southern China: 1. Analysis of field monitoring results","year":2013,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":49,"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 Guangdong Province","keywords":"China; Field (mathematics); Geology; Drainage basin; Hydrology (agriculture); Environmental science; Water resource management; Geography; Geotechnical engineering; Archaeology; Cartography","score_opus":0.03284440397482088,"score_gpt":0.30348909259236956,"score_spread":0.2706446886175487,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1667523122","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9949507,0.000026557776,0.0000012531824,0.0010708513,0.00002136266,0.00042832305,0.000004065178,0.000010692639,0.0034861814],"genre_scores_gemma":[0.9976812,0.000019605983,0.000019113168,0.000016806829,0.0000139477015,0.00022266942,0.000006525692,0.000008109572,0.0020120356],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9979965,0.00020095958,0.0003487056,0.00036154324,0.000503613,0.00058865256],"domain_scores_gemma":[0.99949694,0.000080134654,0.000028454235,0.00032877037,0.000011059776,0.000054621734],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011685462,0.00011376719,0.00025433645,0.0005783306,0.000107050735,0.000030021558,0.00036599825,0.0000778667,0.0006188919],"category_scores_gemma":[0.000032025768,0.00007976044,0.00006306111,0.0007925167,0.00020937472,0.000096293516,0.0005683629,0.0003121141,0.00028757588],"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":[0.00008456772,0.00015211212,0.961024,0.0000101058195,0.00006439551,0.000036590125,0.031706214,0.003377402,0.002965248,8.5632223e-7,0.000111534566,0.00046696095],"study_design_scores_gemma":[0.0005217081,0.00012940435,0.99142545,0.000018816689,0.000047477508,1.9814748e-7,0.0019432949,0.0008998786,0.0044279844,0.00015847012,0.0003124841,0.00011483438],"about_ca_topic_score_codex":0.03646252,"about_ca_topic_score_gemma":0.0026307849,"teacher_disagreement_score":0.033831734,"about_ca_system_score_codex":0.000093708906,"about_ca_system_score_gemma":0.000001296078,"threshold_uncertainty_score":0.9699538},"labels":[],"label_agreement":null},{"id":"W1669772363","doi":"10.1029/2000wr000019","title":"Effects of soil heterogeneity on steady state soil water pressure head under a surface line source","year":2002,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Soil and Unsaturated Flow","field":"Engineering","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; University of Guelph; McMaster University","funders":"","keywords":"Pressure head; Head (geology); Line source; Hydraulic head; Mathematics; Soil water; Soil science; Hydrology (agriculture); Environmental science; Geotechnical engineering; Geology; Physics; Thermodynamics; Optics","score_opus":0.037269602460766396,"score_gpt":0.2761156497725906,"score_spread":0.23884604731182424,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1669772363","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9956893,0.0015040854,0.00007074042,0.0002453591,0.00014366843,0.00040815468,0.00001842059,0.00029018242,0.0016301102],"genre_scores_gemma":[0.986414,0.00016906222,0.000017126493,0.000042325853,0.00014699958,0.00003295662,0.000018938175,0.00012025529,0.013038292],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9962683,0.0004507026,0.0003907054,0.00048310985,0.0010553125,0.0013518749],"domain_scores_gemma":[0.9986865,0.00023426473,0.000020006019,0.00062534015,0.00017249394,0.00026139524],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006770841,0.00035892078,0.0004295052,0.00028022323,0.00020406164,0.00013933948,0.0005091216,0.00024513504,0.00019796254],"category_scores_gemma":[0.000025143967,0.00022187961,0.00013530353,0.00026653384,0.00020132013,0.00012323631,0.0002262589,0.0010008449,0.0007762717],"study_design_candidate":"bench_or_experimental","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":[0.00020814496,0.00025125057,0.00037472325,0.0010196774,0.00032583225,0.000060719743,0.010150934,0.7160438,0.26662472,0.0000018316775,0.0015885554,0.0033498246],"study_design_scores_gemma":[0.0010325048,0.00034041065,0.00039948532,0.00013241114,0.000021890492,0.0000062473255,0.000078374454,0.087458044,0.8783933,0.00004791875,0.031776957,0.00031245407],"about_ca_topic_score_codex":0.0004258479,"about_ca_topic_score_gemma":0.00012808798,"teacher_disagreement_score":0.62858576,"about_ca_system_score_codex":0.00006553188,"about_ca_system_score_gemma":0.000004515254,"threshold_uncertainty_score":0.99776614},"labels":[],"label_agreement":null},{"id":"W1670224338","doi":"10.1029/2004wr003582","title":"Usefulness of core logging for the identification of conductive fractures in bedrock","year":2005,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Groundwater flow and contamination studies","field":"Environmental Science","cited_by":30,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Bedrock; Geology; Borehole; Hydrogeology; Consistency (knowledge bases); Core (optical fiber); Drilling; Categorization; Aquifer; Set (abstract data type); Spurious relationship; Statistics; Geotechnical engineering; Data mining; Groundwater; Computer science; Mathematics; Artificial intelligence; Engineering; Geomorphology","score_opus":0.08517162028429724,"score_gpt":0.3523796110884285,"score_spread":0.26720799080413127,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1670224338","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99754757,0.00007834716,0.0010332837,0.00065642653,0.000017429866,0.0003474864,0.000005966878,0.0000038797743,0.0003096043],"genre_scores_gemma":[0.9969759,0.000006653258,0.000043261658,0.000016200107,0.000021744467,0.00010299901,0.0000035881296,0.0000059708104,0.0028237114],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9988497,0.000082122635,0.0002668034,0.00016453471,0.00041790708,0.00021895178],"domain_scores_gemma":[0.99945444,0.00024314428,0.00005141374,0.00018323195,0.00005118474,0.000016559043],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012670066,0.00005629635,0.00010701738,0.0000867839,0.00015172918,0.000019078305,0.00029264024,0.000032085645,0.00016520155],"category_scores_gemma":[0.000059692204,0.000031132055,0.000032499745,0.0001392523,0.00037777098,0.00011384709,0.00020145002,0.00010853647,0.000027097054],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002985416,0.00029440268,0.13495752,0.0001273031,0.000076795186,0.000001560277,0.13271457,0.010279771,0.5825077,0.00024115398,0.00135302,0.13714764],"study_design_scores_gemma":[0.0004677045,0.000069853246,0.31295532,0.00001828164,0.000008031548,9.558121e-7,0.006393038,0.0030551893,0.6095745,0.0007506928,0.0666178,0.0000886323],"about_ca_topic_score_codex":0.00048222195,"about_ca_topic_score_gemma":0.00035901478,"teacher_disagreement_score":0.1779978,"about_ca_system_score_codex":0.000059373004,"about_ca_system_score_gemma":0.0000024157107,"threshold_uncertainty_score":0.18088411},"labels":[],"label_agreement":null},{"id":"W1673284070","doi":"10.1029/2002wr001813","title":"Modeling tracer injection and well‐aquifer interactions: A new mathematical and numerical approach","year":2003,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Groundwater flow and contamination studies","field":"Environmental Science","cited_by":24,"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":"University of Waterloo","keywords":"TRACER; Aquifer; Groundwater; Flow (mathematics); Groundwater flow; Geology; Mechanics; Hydraulic conductivity; Mixing (physics); Soil science; Geotechnical engineering; Physics; Soil water","score_opus":0.05414957246662919,"score_gpt":0.3079646240257477,"score_spread":0.25381505155911854,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1673284070","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9252457,0.00009863018,0.060540468,0.0002907323,0.00001612226,0.00017922903,2.1602833e-7,0.000021947235,0.013606932],"genre_scores_gemma":[0.97742057,0.00001350068,0.0015507276,0.000033200376,0.00002959176,0.000039050872,0.0000011968957,0.000011895829,0.020900253],"study_design_codex":"qualitative","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985729,0.0002044089,0.00015748103,0.0003252838,0.00040811996,0.00033182433],"domain_scores_gemma":[0.9996669,0.000049450748,0.000008275472,0.00012722652,0.000015176697,0.0001329425],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00064135814,0.00010118475,0.00012229152,0.000084156665,0.00034086473,0.0001555287,0.00007620594,0.00004429265,0.0007358658],"category_scores_gemma":[0.00003741824,0.00006644755,0.00002146653,0.00013206051,0.00017142396,0.0002051663,0.00021013951,0.0002519487,0.00027411748],"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":[0.0007705362,0.002218564,0.14142969,0.0005700293,0.00046247453,0.00007329746,0.44191283,0.021303097,0.056366373,0.0061153807,0.010196877,0.31858084],"study_design_scores_gemma":[0.0018872119,0.00046495112,0.005793366,0.00007020654,0.000048316957,0.00052982953,0.019238636,0.499918,0.0055398354,0.011481797,0.45420185,0.0008260009],"about_ca_topic_score_codex":0.0003464921,"about_ca_topic_score_gemma":0.0000157188,"teacher_disagreement_score":0.4786149,"about_ca_system_score_codex":0.000058702804,"about_ca_system_score_gemma":0.0000025284191,"threshold_uncertainty_score":0.80572146},"labels":[],"label_agreement":null},{"id":"W1674700515","doi":"10.1029/2006wr005525","title":"Usefulness of the reversible jump Markov chain Monte Carlo model in regional flood frequency analysis","year":2007,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Drought Analysis","field":"Environmental Science","cited_by":25,"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":"Estimator; Pooling; Bayesian probability; Reversible-jump Markov chain Monte Carlo; Flood myth; Markov chain Monte Carlo; Jump","score_opus":0.03894373069537947,"score_gpt":0.2868896929370489,"score_spread":0.24794596224166943,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1674700515","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99211586,0.00006953611,0.0001744071,0.00088464754,0.00001178238,0.00015565376,0.0000048370775,0.000012242294,0.006571023],"genre_scores_gemma":[0.99397975,0.000013484479,0.00022071692,0.000077434874,0.000021761321,0.000013858739,0.0000033861465,0.000013037962,0.0056565716],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.996948,0.00047108598,0.00035917934,0.00043590352,0.0010607874,0.000725018],"domain_scores_gemma":[0.9990367,0.000114267794,0.000049579707,0.0006573874,0.000033049186,0.00010899153],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004252837,0.00012671688,0.00026834072,0.00051517825,0.0002721047,0.000018787747,0.0008773661,0.00015754173,0.0007672558],"category_scores_gemma":[0.00005442276,0.0000768399,0.0002253175,0.0024946812,0.00070738443,0.00012924224,0.0005727384,0.00049432775,0.00009974464],"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":[0.00012051713,0.00014176629,0.8581963,0.000012177183,0.00018170656,0.00003399356,0.00866939,0.12516072,0.006525464,0.000024456598,0.00055692915,0.00037653212],"study_design_scores_gemma":[0.0013176824,0.00013253324,0.58142775,0.00004534802,0.00036370152,0.000009494969,0.0017505282,0.36465758,0.03783196,0.005229931,0.00661525,0.0006182492],"about_ca_topic_score_codex":0.010602597,"about_ca_topic_score_gemma":0.017930256,"teacher_disagreement_score":0.2767686,"about_ca_system_score_codex":0.00017454293,"about_ca_system_score_gemma":0.0000116204665,"threshold_uncertainty_score":0.9999899},"labels":[],"label_agreement":null},{"id":"W1675109660","doi":"10.1029/2001wr001054","title":"Numerical treatment of stochastic river quality models driven by colored noise","year":2003,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Drought Analysis","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":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Discretization; Colors of noise; Monte Carlo method; Stochastic differential equation; Stochastic partial differential equation; Computer science; Mathematical optimization; Applied mathematics; Stochastic modelling; Continuous-time stochastic process; Stochastic process; White noise; Noise (video); Parametric statistics; Ordinary differential equation; Partial differential equation; Mathematics; Differential equation; Statistics; Mathematical analysis","score_opus":0.0531383326420849,"score_gpt":0.33164951101122,"score_spread":0.2785111783691351,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1675109660","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98908246,0.00006584071,0.001559189,0.00019442682,0.0000097547145,0.00020307001,0.000009520255,0.000013948698,0.008861817],"genre_scores_gemma":[0.99599934,0.000009362159,0.00015314,0.000020043797,0.000009782673,0.00004495237,0.000013261987,0.00001097092,0.0037391793],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9972865,0.0008707681,0.00025300868,0.0003851212,0.0006571114,0.0005475045],"domain_scores_gemma":[0.99927664,0.00014681311,0.00002415799,0.00036310314,0.00002009456,0.00016916539],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006877767,0.00012498396,0.00027115011,0.000072120754,0.00021710042,0.000019480229,0.00025170538,0.000106427746,0.0027658206],"category_scores_gemma":[0.000039041333,0.0000802958,0.00010346546,0.00027762665,0.0008225617,0.00009325408,0.00009435098,0.00013657649,0.00073780934],"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":[0.0014440677,0.0046856133,0.1522547,0.000041956886,0.0006184563,0.0000918724,0.083500534,0.5865758,0.16075446,0.00048119115,0.005274547,0.0042768065],"study_design_scores_gemma":[0.00995202,0.0067256987,0.024200456,0.000037435973,0.0003247439,0.00003542448,0.0021833908,0.38152188,0.32799006,0.034916643,0.20992863,0.002183597],"about_ca_topic_score_codex":0.0034609279,"about_ca_topic_score_gemma":0.000067191126,"teacher_disagreement_score":0.20505393,"about_ca_system_score_codex":0.00018014343,"about_ca_system_score_gemma":0.0000063757607,"threshold_uncertainty_score":0.99814576},"labels":[],"label_agreement":null},{"id":"W1675119252","doi":"10.1029/2000wr000026","title":"Using a lognormal diffusion process to forecast river flows","year":2002,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Econometrics; Logarithm; Log-normal distribution; Stochastic modelling; Mathematics; Statistics","score_opus":0.08853078946225981,"score_gpt":0.32083273940793133,"score_spread":0.23230194994567152,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1675119252","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97347796,0.000018717297,0.00013812093,0.001272586,0.000037468708,0.00037621547,0.0000014648341,0.000036886202,0.024640568],"genre_scores_gemma":[0.99171793,0.000010260005,0.0002727694,0.00022632143,0.00006923543,0.000047336765,0.000001733699,0.000016321346,0.007638083],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99773324,0.00016312521,0.00015167816,0.0004216411,0.0006555086,0.0008748359],"domain_scores_gemma":[0.99954534,0.000025378818,0.000012508587,0.00024973234,0.0000166198,0.00015041989],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00064391695,0.00013359771,0.00013377263,0.00016342464,0.0007531895,0.00005338217,0.00042812325,0.00006727562,0.00467098],"category_scores_gemma":[0.000026752205,0.00008680776,0.00003722865,0.00031439483,0.0003826117,0.00017740203,0.0013527285,0.00024425596,0.003854329],"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":[0.0005652125,0.0009827286,0.53175384,0.00018253246,0.00015399256,0.0005408513,0.27969238,0.07934151,0.050913997,0.000021791238,0.026714453,0.029136684],"study_design_scores_gemma":[0.0016944202,0.0008953355,0.024495795,0.00008454439,0.000039461098,0.000038589173,0.0020329552,0.20356973,0.01837383,0.0018849918,0.7458728,0.001017576],"about_ca_topic_score_codex":0.00043298732,"about_ca_topic_score_gemma":0.00010925649,"teacher_disagreement_score":0.71915835,"about_ca_system_score_codex":0.00008913008,"about_ca_system_score_gemma":5.727866e-7,"threshold_uncertainty_score":0.9969213},"labels":[],"label_agreement":null},{"id":"W1676775468","doi":"10.1029/2003wr002172","title":"Resolving conflicts in water sharing: A systemic approach","year":2003,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Water resources management and optimization","field":"Engineering","cited_by":65,"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":"Causal loop diagram; Conflict resolution; Computer science; Resource (disambiguation); Water resources; System dynamics; Sustainable development; Management science; Environmental economics; Economics; Political science","score_opus":0.05056577965694803,"score_gpt":0.2647848838688996,"score_spread":0.21421910421195156,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1676775468","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8907561,0.0004136302,0.00067091075,0.00004309662,0.00007879011,0.00063232763,7.4728695e-7,0.00026653183,0.1071379],"genre_scores_gemma":[0.99147373,0.000053774143,0.00029760192,0.000013625999,0.00007845578,0.00015008057,0.000038922793,0.00009104573,0.007802767],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.99684745,0.00026926695,0.00041603268,0.0004916121,0.00067282876,0.001302803],"domain_scores_gemma":[0.99920714,0.000029390789,0.000011101763,0.0005406743,0.00007085544,0.00014083344],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002199983,0.00024222273,0.00027027578,0.0009308537,0.00018208908,0.00040148743,0.00057322974,0.00015327864,0.00021383098],"category_scores_gemma":[0.000029503333,0.0001616586,0.000058774567,0.00040211485,0.0000862317,0.00021990041,0.00026112772,0.00058218156,0.00040229253],"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":[0.00010458606,0.00017893806,0.018453883,0.001973039,0.00014933402,0.00020608048,0.09351552,0.8356959,0.04693418,0.0007651827,0.0014652691,0.0005580887],"study_design_scores_gemma":[0.0023309235,0.00010875033,0.00045510975,0.00034699202,0.000018871197,0.00006616812,0.0029987618,0.29982197,0.09159278,0.00064850616,0.6005372,0.001073967],"about_ca_topic_score_codex":0.00008024968,"about_ca_topic_score_gemma":0.000011280938,"teacher_disagreement_score":0.5990719,"about_ca_system_score_codex":0.00017623494,"about_ca_system_score_gemma":0.0000025802615,"threshold_uncertainty_score":0.6592246},"labels":[],"label_agreement":null},{"id":"W1681308797","doi":"10.1029/2012wr012133","title":"Coupling the snow thermodynamic model SNOWPACK with the microwave emission model of layered snowpacks for subarctic and arctic snow water equivalent retrievals","year":2012,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":75,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Environment and Climate Change Canada; Université de Sherbrooke","funders":"","keywords":"Snowpack; Snow; Environmental science; Remote sensing; Microwave; Arctic; Meteorology; Atmospheric sciences; Geology; Physics","score_opus":0.08460120732721248,"score_gpt":0.2943640403847457,"score_spread":0.20976283305753318,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1681308797","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9911874,0.0011336405,0.0021549205,0.0042280657,0.000037199217,0.0009048689,0.000051091283,0.000016282325,0.00028653094],"genre_scores_gemma":[0.9971047,0.00019551892,0.0003614549,0.00009036071,0.00010398484,0.000029951729,0.000049746654,0.000019481327,0.002044816],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9974291,0.00013873963,0.00028786453,0.00033129394,0.00074182154,0.001071194],"domain_scores_gemma":[0.9982457,0.0007792506,0.000059394326,0.00047343856,0.00027961697,0.00016257491],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002595448,0.00021442206,0.00026140801,0.00005808037,0.0011575992,0.00013805804,0.00048059583,0.00008952162,0.0001300981],"category_scores_gemma":[0.000095903495,0.00007915771,0.00008684695,0.00019612354,0.0005773868,0.00017122847,0.00016565216,0.00037611855,0.000015301435],"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":[0.002880503,0.00027870174,0.19656552,0.0008197437,0.00056359055,0.0000054415455,0.10944221,0.6167186,0.06363653,0.0002137164,0.002117255,0.006758178],"study_design_scores_gemma":[0.00055968855,0.00022749137,0.009310241,0.00008404906,0.00005177751,0.000008933713,0.003845684,0.9771042,0.006125901,0.0013557812,0.0011259756,0.00020031372],"about_ca_topic_score_codex":0.0007038916,"about_ca_topic_score_gemma":0.00047997225,"teacher_disagreement_score":0.36038554,"about_ca_system_score_codex":0.000021722319,"about_ca_system_score_gemma":0.00002846504,"threshold_uncertainty_score":0.89034337},"labels":[],"label_agreement":null},{"id":"W1705083953","doi":"10.1029/2006wr005044","title":"Spatial‐scale partitioning of in situ turbulent flow data over a pebble cluster in a gravel‐bed river","year":2007,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Sediment Transport Processes","field":"Environmental Science","cited_by":20,"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 Montréal","funders":"","keywords":"Turbulence; Spatial variability; Flow (mathematics); Reynolds number; Spatial ecology; Reynolds stress; Mathematics; Turbulence kinetic energy; Geometry; Scale (ratio); Geology; Physics; Mechanics; Statistics","score_opus":0.03938740156230284,"score_gpt":0.3078896228491508,"score_spread":0.2685022212868479,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1705083953","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99637014,0.000048853257,0.00021257682,0.00047780297,0.000016537719,0.0002604785,0.0000061626133,0.000010040709,0.0025974256],"genre_scores_gemma":[0.99907756,0.000018681023,0.00028741162,0.00008689834,0.000026679358,0.000014668219,0.0000714078,0.00001150193,0.00040518673],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9976252,0.00017621314,0.00035873704,0.00046025598,0.0006791882,0.00070043583],"domain_scores_gemma":[0.99932706,0.000098981865,0.00002555519,0.00044300396,0.000013712117,0.00009167651],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0031882087,0.00010786893,0.00017935436,0.00021625793,0.000090673624,0.000019206938,0.0006026987,0.00011568326,0.0021585454],"category_scores_gemma":[0.000028153292,0.000081512444,0.000024083813,0.00035554197,0.00050220743,0.0002499721,0.00047864878,0.00040157104,0.00021084912],"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":[0.0005416322,0.0003734409,0.94384897,0.000062497296,0.000010023634,0.00016880826,0.02640532,0.0042644124,0.022046853,0.0000018176023,0.0003576804,0.0019185523],"study_design_scores_gemma":[0.0024481232,0.00023707471,0.8284942,0.00014163733,0.000009697303,0.000009737155,0.00047752264,0.015858455,0.1138769,0.001001224,0.03710691,0.00033853893],"about_ca_topic_score_codex":0.0058343015,"about_ca_topic_score_gemma":0.030105501,"teacher_disagreement_score":0.115354784,"about_ca_system_score_codex":0.00008858142,"about_ca_system_score_gemma":0.000008502674,"threshold_uncertainty_score":0.9987536},"labels":[],"label_agreement":null},{"id":"W1705283903","doi":"10.1029/2011wr010930","title":"Groundwater levels and teleconnection patterns in the Canadian Prairies","year":2012,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Tree-ring climate responses","field":"Earth and Planetary Sciences","cited_by":85,"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 Regina","funders":"","keywords":"Teleconnection; Pacific decadal oscillation; Multivariate ENSO index; Environmental science; Groundwater; Climatology; Groundwater recharge; El Niño Southern Oscillation; Precipitation; Climate change; Hydrology (agriculture); La Niña; Aquifer; Geology; Geography; Oceanography; Meteorology","score_opus":0.08988217952077406,"score_gpt":0.30868880044529157,"score_spread":0.21880662092451753,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1705283903","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9925292,0.0002973115,7.7514517e-7,0.003016506,0.000060819882,0.00020095585,0.000024301304,0.000014269991,0.0038558235],"genre_scores_gemma":[0.9990931,0.0000131814395,0.000014322356,0.00011560169,0.00015440644,0.0000062128365,0.000022944116,0.0000049596324,0.0005752602],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99749607,0.0007316594,0.00013149017,0.00018467577,0.00044745312,0.0010086457],"domain_scores_gemma":[0.9991988,0.00036565802,0.0000101062615,0.00019253847,0.000029961135,0.00020296012],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029044691,0.000096316064,0.00009646749,0.00040647268,0.0005557288,0.00040353253,0.00026773126,0.000074035015,0.0008065778],"category_scores_gemma":[0.00007870894,0.00005005045,0.000017729531,0.00018902744,0.00019931607,0.00031026488,0.000029143957,0.00035556042,0.0004351959],"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":[0.000027095823,0.000008451272,0.9806271,0.000018837856,0.0000043047817,0.000017194609,0.012703844,0.00001122434,0.00002984313,0.000010202536,0.00009820907,0.006443671],"study_design_scores_gemma":[0.00008893547,0.00006891411,0.91374063,0.000011853343,0.0000013742334,0.000058589692,0.0012809855,0.000054350232,0.0003036671,0.00008824646,0.08422235,0.000080075195],"about_ca_topic_score_codex":0.6506172,"about_ca_topic_score_gemma":0.9473759,"teacher_disagreement_score":0.29675868,"about_ca_system_score_codex":0.000022430952,"about_ca_system_score_gemma":0.000023793815,"threshold_uncertainty_score":0.88314617},"labels":[],"label_agreement":null},{"id":"W1708313114","doi":"10.1029/2004wr003653","title":"Introduction to the special section on Institutional Arrangements and the Effects on Water Resources","year":2004,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Water resources management and optimization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Legislation; Business; Water quality; Corporate governance; Water trading; Water resources; Recreation; Natural resource economics; Quality (philosophy); Environmental planning; Water conservation; Economics; Political science; Law; Environmental science; Finance","score_opus":0.013289590648326396,"score_gpt":0.23587446184708133,"score_spread":0.22258487119875492,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1708313114","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97134274,0.00004349225,0.00022579615,0.016118733,0.0011455312,0.0011566572,0.0000022303484,0.00013324789,0.009831558],"genre_scores_gemma":[0.97798914,0.000049295024,0.000030999767,0.00030895096,0.018227102,0.00022487748,0.000037675243,0.00004578806,0.0030861932],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.99759996,0.00028951804,0.00021415892,0.00038970175,0.0009113277,0.00059532607],"domain_scores_gemma":[0.9993542,0.00007745237,0.000012306421,0.00040667516,0.000059983617,0.00008938281],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013969201,0.00021588057,0.0001575235,0.00042055888,0.00095481146,0.00046255707,0.00037160446,0.0000799714,0.00010194657],"category_scores_gemma":[0.000056535668,0.00009522182,0.00005650339,0.00028481623,0.00023709389,0.00013412964,0.00021794761,0.0005300202,0.0007179199],"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":[0.0020008152,0.000093204595,0.000099585544,0.00020966736,0.00019602421,0.000022620008,0.053759877,0.896926,0.0053852415,0.0010474268,0.029028408,0.01123116],"study_design_scores_gemma":[0.0018466209,0.00031953957,0.00074583094,0.000065881984,0.000016397717,0.00000480107,0.00024282919,0.0011298641,0.034669384,0.0005028711,0.96026933,0.00018666143],"about_ca_topic_score_codex":0.00008257052,"about_ca_topic_score_gemma":0.000054732944,"teacher_disagreement_score":0.9312409,"about_ca_system_score_codex":0.00019149405,"about_ca_system_score_gemma":0.0000021002766,"threshold_uncertainty_score":0.9227647},"labels":[],"label_agreement":null},{"id":"W1712124724","doi":"10.1029/2006wr005137","title":"Simulations of fully coupled lake‐groundwater exchange in a subhumid climate with an integrated hydrologic model","year":2007,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Soil and Unsaturated Flow","field":"Engineering","cited_by":91,"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","funders":"","keywords":"Outwash plain; Groundwater; Hydrology (agriculture); Water table; Evapotranspiration; Riparian zone; Groundwater recharge; Surface water; Groundwater flow; Groundwater model; Environmental science; Groundwater discharge; Geology; MODFLOW; Aquifer; Geomorphology; Glacier; Ecology; Environmental engineering","score_opus":0.04349836636204803,"score_gpt":0.29499795253619604,"score_spread":0.251499586174148,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1712124724","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99720323,0.00008760381,0.00077548285,0.000039403574,0.000021459631,0.00029452576,0.000019681816,0.00015638783,0.0014022031],"genre_scores_gemma":[0.999056,0.000029122586,0.00038327416,0.000013254885,0.0000426649,0.000024146912,0.00013028417,0.00005125507,0.0002700042],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9978357,0.00011081445,0.0003357502,0.00027408407,0.00047799104,0.00096568145],"domain_scores_gemma":[0.9992185,0.00009140122,0.000016123679,0.00034399476,0.00019370859,0.00013627461],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013206385,0.00018917631,0.00024951962,0.0007013424,0.00009935803,0.00006886253,0.00029480673,0.00018368916,0.00016008026],"category_scores_gemma":[0.00001504217,0.00011715407,0.00003195561,0.0006477114,0.00016504776,0.00019865605,0.00007326043,0.00060069875,0.000030154808],"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":[0.0011955188,0.00021073177,0.010157481,0.00020818773,0.00004728509,0.00012414847,0.012573115,0.9364649,0.037690796,0.000017121289,0.000026122416,0.0012845783],"study_design_scores_gemma":[0.00082222203,0.00033089277,0.0016019301,0.00005115882,0.0000055980486,0.000006049726,0.00038025493,0.98190075,0.012610507,0.00011396253,0.0019825052,0.00019418102],"about_ca_topic_score_codex":0.00030833125,"about_ca_topic_score_gemma":0.007196539,"teacher_disagreement_score":0.045435824,"about_ca_system_score_codex":0.000074753174,"about_ca_system_score_gemma":0.00001123239,"threshold_uncertainty_score":0.47774044},"labels":[],"label_agreement":null},{"id":"W1720026832","doi":"10.1029/2010wr009851","title":"Identification of nonlinearity in rainfall‐flow response using data‐based mechanistic modeling","year":2011,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Soil and Unsaturated Flow","field":"Engineering","cited_by":21,"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":"Engineering and Physical Sciences Research Council","keywords":"Nonlinear system; Flow (mathematics); Conceptual model; Routing (electronic design automation); Subsurface flow; Calibration; Linear model; Environmental science; Variance (accounting); Flow routing; Computer science; Mathematics; Mechanics; Statistics; Geology; Geotechnical engineering; Physics","score_opus":0.19111419347312467,"score_gpt":0.34095134093025276,"score_spread":0.1498371474571281,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1720026832","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9883314,0.00008341498,0.011063878,0.000018793447,0.00006631817,0.00018049432,0.000040859475,0.00007222134,0.00014266543],"genre_scores_gemma":[0.9970401,0.000007814672,0.002767544,0.0000037327627,0.000039874583,0.000010119059,0.000053338776,0.000034952594,0.000042501215],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99804115,0.0003460825,0.00040670374,0.00029005675,0.0004609956,0.0004549817],"domain_scores_gemma":[0.99891114,0.00009965176,0.000017275488,0.00074841134,0.0001497783,0.000073724725],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0034647717,0.000116703086,0.00017016093,0.00056561147,0.0000813778,0.000050848605,0.0005999148,0.00012663117,0.000053319367],"category_scores_gemma":[0.00019252203,0.00009643144,0.000027890319,0.0004258571,0.000069188514,0.00017228609,0.00017353371,0.00043612186,0.000030445157],"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":[0.0009320121,0.00009581621,0.0003557321,0.00019633216,0.000026848267,0.00004169483,0.006245917,0.53301895,0.45790893,0.0000084804105,0.000015216141,0.0011540994],"study_design_scores_gemma":[0.0002812457,0.000022283759,0.00018266548,0.000053292155,0.00000520395,0.0000017072576,0.00018853592,0.9100607,0.08875605,0.00019841653,0.0001450346,0.00010489081],"about_ca_topic_score_codex":0.00069539034,"about_ca_topic_score_gemma":0.00009095275,"teacher_disagreement_score":0.37704173,"about_ca_system_score_codex":0.00007768865,"about_ca_system_score_gemma":0.000030233645,"threshold_uncertainty_score":0.39323598},"labels":[],"label_agreement":null},{"id":"W1722907049","doi":"10.1029/2008wr007217","title":"A new stochastic control approach to multireservoir operation problems with uncertain forecasts","year":2010,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Water resources management and optimization","field":"Engineering","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":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China; Polytechnique Montréal","keywords":"Inflow; Trajectory; Optimal control; Mathematical optimization; Horizon; Trajectory optimization; Computer science; Time horizon; Stochastic control; Control (management); Control theory (sociology); Mathematics; Meteorology","score_opus":0.028868714760997404,"score_gpt":0.2525047534563499,"score_spread":0.22363603869535248,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1722907049","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7164075,0.00003363425,0.26813266,0.0005312691,0.000098930286,0.002488237,0.000006258386,0.00041114254,0.011890356],"genre_scores_gemma":[0.9868712,0.0000013133922,0.0072733453,0.0000307118,0.00030384833,0.0003193959,0.00006154956,0.00009000394,0.0050486242],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9976589,0.00009112327,0.00023864425,0.00040783643,0.0007645497,0.00083891297],"domain_scores_gemma":[0.99903953,0.000039613322,0.00001306611,0.00044938078,0.00013153997,0.0003268598],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007227526,0.00023688162,0.00020849035,0.0005031891,0.00024228178,0.00050762406,0.0005261577,0.00011291116,0.00011813633],"category_scores_gemma":[0.000026315045,0.00015372309,0.00003692499,0.00040919267,0.00006506778,0.00023592408,0.00013896379,0.00058854284,0.00022965933],"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":[0.00011710281,0.000036044727,0.0001883224,0.000092859824,0.000048333586,0.000003991018,0.008149823,0.97890544,0.008099225,0.00004374813,0.0014777423,0.0028373909],"study_design_scores_gemma":[0.0015405695,0.00021774993,0.00024969727,0.000041426705,0.000013684014,0.00000728931,0.0002069686,0.9417658,0.0020424519,0.00007540618,0.053499077,0.0003399206],"about_ca_topic_score_codex":0.0003623394,"about_ca_topic_score_gemma":0.0003168204,"teacher_disagreement_score":0.2704637,"about_ca_system_score_codex":0.00005925414,"about_ca_system_score_gemma":0.0000117451555,"threshold_uncertainty_score":0.62686455},"labels":[],"label_agreement":null},{"id":"W1728426699","doi":"10.1029/2006wr005264","title":"Isotopic fractionation by diffusion in groundwater","year":2008,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Groundwater flow and contamination studies","field":"Environmental Science","cited_by":71,"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":"Fractionation; Isotope fractionation; Groundwater; Equilibrium fractionation; Chemistry; Aqueous solution; Diffusion; Environmental chemistry; Isotope analysis; Geology; Chromatography; Thermodynamics; Organic chemistry","score_opus":0.035654313183974856,"score_gpt":0.28605638815698,"score_spread":0.25040207497300515,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1728426699","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99113053,0.00004215302,0.0002677561,0.001046407,0.000043690037,0.00019793281,9.454295e-7,0.000026054184,0.007244541],"genre_scores_gemma":[0.9276331,0.000042734737,0.000025763677,0.00008386965,0.00003683885,0.000080750266,0.000017353712,0.00001057613,0.07206903],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9979793,0.00021539553,0.00018915022,0.00032215897,0.0008339373,0.00046006183],"domain_scores_gemma":[0.99967426,0.0000489795,0.000014049118,0.00017812783,0.000023263847,0.00006128965],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0005559822,0.00009889471,0.00010672783,0.00014548528,0.00047089253,0.000047902315,0.00022248954,0.00006518031,0.0022725095],"category_scores_gemma":[0.00001699945,0.00006660445,0.000028477429,0.00024151421,0.0002757488,0.00027883673,0.0003665601,0.00025587744,0.0021519277],"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":[0.000059734582,0.00040419708,0.82720584,0.000010832487,0.000010018863,0.000060232713,0.022901665,0.000052176063,0.111801945,0.000011876361,0.018456006,0.01902548],"study_design_scores_gemma":[0.0003982982,0.000069883354,0.3029328,0.0000052373807,8.438705e-7,0.000010078055,0.0003360245,0.00024549785,0.010432405,0.00012770946,0.68532324,0.000117964104],"about_ca_topic_score_codex":0.0030142725,"about_ca_topic_score_gemma":0.0003235208,"teacher_disagreement_score":0.66686726,"about_ca_system_score_codex":0.00023651055,"about_ca_system_score_gemma":0.0000020017987,"threshold_uncertainty_score":0.9986395},"labels":[],"label_agreement":null},{"id":"W1738253386","doi":"10.1029/2011wr011425","title":"Effects of non‐Gaussian copula‐based hydraulic conductivity fields on macrodispersion","year":2012,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":41,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Hydraulic conductivity; Variogram; Gaussian; Geostatistics; Isotropy; Soil science; Spatial dependence; Hydrogeology; Geology; Spatial variability; Aquifer; Statistical physics; Mathematics; Geotechnical engineering; Kriging; Statistics; Groundwater; Physics","score_opus":0.0373356242728031,"score_gpt":0.30774684276752406,"score_spread":0.27041121849472094,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1738253386","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9719999,0.00006480508,0.0019800498,0.0033035371,0.00011732497,0.00024840495,6.737424e-7,0.00004319339,0.022242133],"genre_scores_gemma":[0.9968878,0.0000021562466,0.00036698766,0.00013006596,0.00011133091,0.000024928906,0.0000033670374,0.0000033536064,0.0024700216],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9976993,0.00036231524,0.00015974915,0.00033894632,0.0006440624,0.0007955854],"domain_scores_gemma":[0.99872977,0.0003191335,0.00003497592,0.0006182277,0.00010323526,0.00019465516],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013405991,0.00013170326,0.00018566924,0.00016719657,0.00022441846,0.00006226312,0.00083702104,0.0001409929,0.00007976105],"category_scores_gemma":[0.00016584352,0.00008737069,0.000073689815,0.00029293774,0.00016924384,0.00016980797,0.00047120888,0.0004481596,0.00015408834],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027618068,0.0014576319,0.021843784,0.0018676753,0.0000670419,0.00013482408,0.023780271,0.0010130587,0.9257976,0.0011565337,0.007922384,0.014683023],"study_design_scores_gemma":[0.0003657353,0.0002184319,0.005199651,0.000073421324,0.000002315178,0.0000040553487,0.000052233874,0.004142846,0.9402112,0.00027226468,0.04932995,0.00012792],"about_ca_topic_score_codex":0.0001266442,"about_ca_topic_score_gemma":0.00000233851,"teacher_disagreement_score":0.041407567,"about_ca_system_score_codex":0.000032991713,"about_ca_system_score_gemma":0.00001444357,"threshold_uncertainty_score":0.35628733},"labels":[],"label_agreement":null},{"id":"W1742308188","doi":"10.1029/2011wr011414","title":"High‐resolution ground‐penetrating radar monitoring of soil moisture dynamics: Field results, interpretation, and comparison with unsaturated flow model","year":2012,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":57,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph; University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Ground-penetrating radar; Vadose zone; Infiltration (HVAC); Water content; Geology; Soil science; Depth sounding; Moisture; Environmental science; Remote sensing; Radar; Hydrology (agriculture); Soil water; Meteorology; Geotechnical engineering","score_opus":0.03061463011284736,"score_gpt":0.3083671999620963,"score_spread":0.2777525698492489,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1742308188","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9743339,0.00023325218,0.024446592,0.00013848314,0.000038345235,0.00018079733,0.000017355269,0.0000679297,0.00054337614],"genre_scores_gemma":[0.9714772,0.000018056782,0.028161181,0.0000027176964,0.0001329909,0.000036526195,0.000043912514,0.000023589027,0.00010381372],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987118,0.000114590555,0.00026806555,0.00017406595,0.00032601724,0.0004054113],"domain_scores_gemma":[0.9993056,0.00020112337,0.000028892991,0.00022642156,0.00013261987,0.000105318875],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005500448,0.00012490344,0.00018514096,0.00010424386,0.00015822603,0.00007322302,0.00014687015,0.00009297864,0.0000021480562],"category_scores_gemma":[0.000038901337,0.0000879995,0.000021862894,0.00021125235,0.000083121864,0.0001614953,0.000068904854,0.0004492822,0.0000040779514],"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":[0.00075002015,0.00024042986,0.013929703,0.0008248604,0.00022195758,0.0000021368535,0.03764732,0.5847662,0.3174173,0.0012684715,0.00028009687,0.0426515],"study_design_scores_gemma":[0.00037720788,0.00011262898,0.013511139,0.00013977454,0.00001441026,0.0000017656047,0.0012881963,0.93764514,0.046066854,0.0004910596,0.00017898336,0.0001728361],"about_ca_topic_score_codex":0.0005771371,"about_ca_topic_score_gemma":0.0000629491,"teacher_disagreement_score":0.35287893,"about_ca_system_score_codex":0.000056555324,"about_ca_system_score_gemma":0.0000049836626,"threshold_uncertainty_score":0.35885155},"labels":[],"label_agreement":null},{"id":"W1749019063","doi":"10.1029/2008wr007387","title":"Probabilistic approach to estimating the effects of channel reaches on flood frequencies","year":2009,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Dalhousie University; McMaster University","funders":"U.S. Army Corps of Engineers","keywords":"Channel (broadcasting); Routing (electronic design automation); Probabilistic logic; Watershed; Environmental science; Flood myth; Flow routing; Hydrology (agriculture); Open-channel flow; Stormwater; Computer science; Flow (mathematics); 100-year flood; Surface runoff; Statistics; Geology; Geography; Mathematics; Geotechnical engineering; Telecommunications; Ecology","score_opus":0.03754303384437299,"score_gpt":0.28030257614543785,"score_spread":0.24275954230106486,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1749019063","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9569419,0.00002696962,0.000108737346,0.0025026125,0.00003408031,0.0007594784,6.153403e-7,0.000030291738,0.039595332],"genre_scores_gemma":[0.9974729,0.000002869354,0.0005975141,0.00026121375,0.000051568502,0.00011191949,0.00000192717,0.00000813919,0.0014919623],"study_design_codex":"qualitative","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9980204,0.0003144697,0.0001590791,0.00035088637,0.0005926515,0.0005624738],"domain_scores_gemma":[0.99931985,0.00020407967,0.000020528583,0.0003776159,0.000012843376,0.00006508944],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014123324,0.00012516986,0.00015617967,0.00009388169,0.0004750947,0.000035328663,0.0005526921,0.0000468937,0.000025239657],"category_scores_gemma":[0.0003149299,0.00006250447,0.000038336966,0.00024788475,0.0004880556,0.00005562056,0.0004397539,0.00025289805,0.0002739554],"study_design_candidate":"bench_or_experimental","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":[0.0009415834,0.0036171153,0.016155936,0.0015361708,0.00040403372,0.00012228116,0.46039405,0.3344642,0.10639222,0.002472854,0.029862601,0.043636978],"study_design_scores_gemma":[0.0039834636,0.017750954,0.28329787,0.0010101359,0.00024226788,0.000035817993,0.0069911648,0.072864644,0.36952406,0.19492728,0.04679769,0.0025746638],"about_ca_topic_score_codex":0.00022307565,"about_ca_topic_score_gemma":0.000009406023,"teacher_disagreement_score":0.45340288,"about_ca_system_score_codex":0.000055598037,"about_ca_system_score_gemma":0.0000011634146,"threshold_uncertainty_score":0.36540923},"labels":[],"label_agreement":null},{"id":"W1752682759","doi":"10.1029/2005wr004118","title":"Wavelet coherency analysis to relate saturated hydraulic properties to soil physical properties","year":2005,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Soil and Unsaturated Flow","field":"Engineering","cited_by":90,"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","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Wavelet; Loam; Soil science; Scale (ratio); Scaling; Hydraulic conductivity; Geology; Environmental science; Geotechnical engineering; Mathematics; Soil water; Geography; Geometry; Cartography","score_opus":0.04110110328018955,"score_gpt":0.26740222619298964,"score_spread":0.22630112291280008,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1752682759","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98985076,0.00032619585,0.0000217724,0.0024154761,0.000057221543,0.0005349368,0.0000072168696,0.00047495906,0.0063114455],"genre_scores_gemma":[0.98656446,0.00002139247,0.00011315788,0.00014306644,0.00045965856,0.00023466807,0.000017987231,0.00008117007,0.012364431],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9966943,0.00021160782,0.00035038465,0.0005335559,0.0009514987,0.0012586458],"domain_scores_gemma":[0.998609,0.000030996325,0.0000109142975,0.00060953107,0.00029493333,0.0004446425],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004973959,0.0003281527,0.00044378827,0.0009831942,0.00029075093,0.00036556608,0.0006055708,0.00015902572,0.00014975618],"category_scores_gemma":[0.00007028359,0.00019819946,0.0001538252,0.0021632141,0.00010900301,0.00021043223,0.00026276504,0.00081498525,0.0033186602],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00038235026,0.00015555904,0.00027691294,0.00013243216,0.001095688,0.000039675288,0.073235855,0.35013866,0.53787994,0.0000066595167,0.009715076,0.026941184],"study_design_scores_gemma":[0.00038132851,0.0002526863,0.0014467463,0.000108074324,0.00010368407,0.000005503121,0.00081597234,0.16004737,0.6115358,0.000022666572,0.22460614,0.0006740207],"about_ca_topic_score_codex":0.0005096095,"about_ca_topic_score_gemma":0.00033838616,"teacher_disagreement_score":0.21489106,"about_ca_system_score_codex":0.00019599218,"about_ca_system_score_gemma":0.00001772657,"threshold_uncertainty_score":0.9974574},"labels":[],"label_agreement":null},{"id":"W1759165252","doi":"10.1029/2006wr005376","title":"Bayesian modeling of hydrographs","year":2007,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"GDG Environnement; Université de Montréal; Institut National de la Recherche Scientifique; Hydro-Québec","funders":"Innovative Research Group Project of the National Natural Science Foundation of China","keywords":"Hydrograph; Flood myth; Bayesian probability; Probabilistic logic; Sample (material); Computer science; Environmental science; Statistics; Hydrology (agriculture); Mathematics; Geography; Geology; Geotechnical engineering","score_opus":0.03655977886192183,"score_gpt":0.3071692873180067,"score_spread":0.2706095084560849,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1759165252","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.89449435,0.000033807217,0.0016042258,0.0003769108,0.000020674266,0.00014457117,3.9707672e-7,0.000024137087,0.1033009],"genre_scores_gemma":[0.9978216,0.000017281316,0.00024026578,0.000044628967,0.000026233472,0.000007656913,0.0000019496474,0.000010176923,0.0018301592],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99817914,0.00010545894,0.00020633012,0.0002627187,0.00056031713,0.0006860202],"domain_scores_gemma":[0.9995947,0.000045424662,0.000014089985,0.00025149385,0.000013038459,0.00008128654],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028829987,0.00008463859,0.00011965854,0.0001952897,0.0002819225,0.000013718192,0.0003448859,0.000060015198,0.0008304175],"category_scores_gemma":[0.000017681376,0.000056013912,0.00004910251,0.00027913848,0.0005410286,0.00008048903,0.00069742714,0.00021215848,0.00039555138],"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":[0.00080495124,0.00062301836,0.7442579,0.00015675265,0.0002792431,0.00026085493,0.063204944,0.10397352,0.062860176,0.00033618193,0.0039344295,0.019307999],"study_design_scores_gemma":[0.0029282672,0.0015836234,0.0320229,0.00011852438,0.0000788626,0.00002245177,0.00852754,0.23909883,0.20725702,0.044404164,0.46247005,0.0014877396],"about_ca_topic_score_codex":0.00075333717,"about_ca_topic_score_gemma":0.00016330043,"teacher_disagreement_score":0.71223503,"about_ca_system_score_codex":0.000031595653,"about_ca_system_score_gemma":6.6353834e-7,"threshold_uncertainty_score":0.90924895},"labels":[],"label_agreement":null},{"id":"W1760090582","doi":"10.1002/2015wr016910","title":"Validation of hydraulic tomography in an unconfined aquifer: A controlled sandbox study","year":2015,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Groundwater flow and contamination studies","field":"Environmental Science","cited_by":39,"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":"Ontario Research Foundation","keywords":"Hydraulic conductivity; Vadose zone; Aquifer; Geology; Drawdown (hydrology); Tomography; Specific storage; Soil science; Geotechnical engineering; Groundwater; Soil water; Groundwater recharge","score_opus":0.06178318305004149,"score_gpt":0.32864994187436686,"score_spread":0.26686675882432537,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1760090582","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9957857,0.000034238787,0.00004881453,0.0002016852,0.000029303495,0.0008603694,0.000001316909,0.000020262578,0.0030183091],"genre_scores_gemma":[0.9982278,0.0000014648765,0.000021752696,0.000018821309,0.00002539423,0.00018399332,0.00000775197,0.00001086067,0.0015022055],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9968703,0.0009055109,0.00035857043,0.00033714503,0.0011213197,0.00040719006],"domain_scores_gemma":[0.9993585,0.00007080982,0.000037165668,0.0003157856,0.00008671113,0.00013103933],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0030746753,0.000118851625,0.0002994657,0.00033432792,0.000111643705,0.00008032042,0.00035506912,0.000045731045,0.000315271],"category_scores_gemma":[0.000057870166,0.000076530254,0.000047332334,0.0005171522,0.00024176636,0.0002268669,0.00033332675,0.00016329881,0.00016519107],"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":[0.0009253482,0.0008892497,0.9075974,0.000007499902,0.00003606595,0.000021661097,0.06757397,0.00040162084,0.017620882,0.000006503792,0.0002014464,0.0047183027],"study_design_scores_gemma":[0.036228605,0.006675176,0.773417,0.000048785485,0.00005373819,0.00000567645,0.06036104,0.0036699218,0.08284444,0.001665162,0.03427556,0.00075487694],"about_ca_topic_score_codex":0.0030963589,"about_ca_topic_score_gemma":0.0010347916,"teacher_disagreement_score":0.13418043,"about_ca_system_score_codex":0.00008445431,"about_ca_system_score_gemma":0.00000667041,"threshold_uncertainty_score":0.46807888},"labels":[],"label_agreement":null},{"id":"W1762294972","doi":"10.1002/wrcr.20302","title":"Nutrient export from catchments on forested landscapes reveals complex nonstationary and stationary climate signals","year":2013,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Soil and Water Nutrient Dynamics","field":"Environmental Science","cited_by":30,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Natural Resources Canada; Natural Sciences and Engineering Research Council of Canada; Australian Government","keywords":"Nutrient; Environmental science; Biogeochemistry; Watershed; Hydrology (agriculture); Climate change; Dissolved organic carbon; Drainage basin; Atmospheric sciences; Oceanography; Ecology; Geology; Geography; Biology","score_opus":0.03884276238173891,"score_gpt":0.2960066969135727,"score_spread":0.2571639345318338,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1762294972","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99448407,0.000027378477,0.00001515887,0.00093520235,0.000029726856,0.00063891127,0.000103320264,0.00004303432,0.0037231923],"genre_scores_gemma":[0.99765915,0.000080961414,0.00039011383,0.00023096133,0.00005166943,0.00019298763,0.0005842377,0.000024436466,0.00078547077],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9971773,0.0002592594,0.0003136574,0.0005141893,0.0010460798,0.00068948406],"domain_scores_gemma":[0.99914306,0.00023542225,0.000044768767,0.0002956339,0.00004645837,0.0002346394],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00053959794,0.00017410218,0.00017676271,0.00014047092,0.0004283152,0.00016566202,0.0002973051,0.000072610455,0.0016903703],"category_scores_gemma":[0.000018811787,0.00011799823,0.00003520443,0.00017952018,0.00026084448,0.00026651562,0.0005363913,0.00021373507,0.0023156807],"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":[0.00014660998,0.00021424588,0.9764971,0.000019809939,0.000023010667,0.000029507966,0.005122105,0.00038306462,0.0071775313,0.000025734777,0.008313676,0.0020476193],"study_design_scores_gemma":[0.0010413696,0.00035425802,0.93406034,0.000058277426,0.000007491668,0.000005856787,0.0011166186,0.008062126,0.0024311321,0.030157363,0.022384644,0.0003205063],"about_ca_topic_score_codex":0.0014585025,"about_ca_topic_score_gemma":0.000015575764,"teacher_disagreement_score":0.042436726,"about_ca_system_score_codex":0.00010427452,"about_ca_system_score_gemma":0.00000369856,"threshold_uncertainty_score":0.9992222},"labels":[],"label_agreement":null},{"id":"W1766249972","doi":"10.1029/2011wr010602","title":"Overall uncertainty study of the hydrological impacts of climate change for a Canadian watershed","year":2011,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":423,"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 Sherbrooke; École de Technologie Supérieure; Université du Québec à Montréal","funders":"Institut national de la recherche scientifique","keywords":"Downscaling; Environmental science; Climate change; Uncertainty analysis; Climatology; Watershed; GCM transcription factors; General Circulation Model; Hydrological modelling; Climate model; Greenhouse gas; Hydrology (agriculture); Statistics; Mathematics; Computer science; Geology","score_opus":0.09664024249938828,"score_gpt":0.30660902684622715,"score_spread":0.20996878434683885,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1766249972","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9902707,0.000009449474,3.6978918e-7,0.0006426429,0.000032641317,0.0013331474,0.000012327244,0.000008379146,0.0076903556],"genre_scores_gemma":[0.9994021,0.000017836866,0.000014833676,0.000118867,0.000019122208,0.00018661357,0.0000027276112,0.000009968497,0.00022795088],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99790317,0.00034731376,0.00023263898,0.00029290002,0.00038599374,0.00083799893],"domain_scores_gemma":[0.9993827,0.00004720229,0.000041817184,0.00038678438,0.00002447716,0.000117032876],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015531415,0.00011767664,0.0002073861,0.000118035256,0.00041175593,0.000009115592,0.00063410006,0.00007325762,0.00059333525],"category_scores_gemma":[0.000039665363,0.000056896017,0.00006876863,0.00015097923,0.00058744766,0.00007538971,0.00091903226,0.00016868304,0.000048966034],"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":[0.0005953238,0.00047011636,0.8741522,0.000061809755,0.00009856773,0.000014164614,0.121728994,0.0001896783,0.0016658547,0.000049383107,0.00047646984,0.0004974575],"study_design_scores_gemma":[0.0021782685,0.0034805222,0.9572209,0.00003064714,0.000062884814,0.000002372931,0.0046826005,0.00070801185,0.009957923,0.0027587286,0.018627321,0.0002898358],"about_ca_topic_score_codex":0.23038152,"about_ca_topic_score_gemma":0.11579847,"teacher_disagreement_score":0.11704639,"about_ca_system_score_codex":0.000076567,"about_ca_system_score_gemma":0.0000032531213,"threshold_uncertainty_score":0.9003359},"labels":[],"label_agreement":null},{"id":"W1767951798","doi":"10.1029/2000wr000150","title":"Effects of digital elevation model resolution on derived stream network positions","year":2002,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":122,"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":"Digital elevation model; Terrain; Elevation (ballistics); STREAMS; Ranging; Resolution (logic); Geology; Algorithm; Dispersion (optics); Scale (ratio); Remote sensing; Flow (mathematics); Geodesy; Geometry; Hydrology (agriculture); Mathematics; Computer science; Cartography; Geography; Geotechnical engineering; Physics; Optics; Artificial intelligence","score_opus":0.031008865661480416,"score_gpt":0.2632853258950896,"score_spread":0.23227646023360915,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1767951798","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97544247,0.000031976437,0.0003812023,0.0010562869,0.000018424305,0.00031359066,0.0000027571868,0.000031518975,0.022721795],"genre_scores_gemma":[0.9949099,0.000046472513,0.00008805081,0.000056811503,0.000038488608,0.000046873276,0.000011437812,0.000009930795,0.004792066],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985174,0.00013771054,0.00014456277,0.00025763112,0.00046020388,0.00048251403],"domain_scores_gemma":[0.9996198,0.00010149562,0.000022369133,0.0001895677,0.000013760562,0.000053026662],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00031295212,0.000094301606,0.00010611042,0.00008784705,0.000415535,0.000034513592,0.00019589148,0.000060947885,0.00021784002],"category_scores_gemma":[0.000034194916,0.000060170853,0.000038943283,0.00019013564,0.00036045603,0.0001635547,0.00027078963,0.00017926407,0.0007939784],"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":[0.0004442313,0.0012547475,0.031524446,0.00015040749,0.00018584369,0.000053538002,0.016294768,0.8155442,0.071613096,0.00040635443,0.05440925,0.008119113],"study_design_scores_gemma":[0.0034039097,0.0033210255,0.063954815,0.00025815718,0.000110760135,0.0000062952645,0.00041943425,0.68347144,0.15821809,0.034743812,0.05101365,0.0010786159],"about_ca_topic_score_codex":0.000044601587,"about_ca_topic_score_gemma":0.000009694861,"teacher_disagreement_score":0.13207276,"about_ca_system_score_codex":0.00007097618,"about_ca_system_score_gemma":5.30244e-7,"threshold_uncertainty_score":0.999984},"labels":[],"label_agreement":null},{"id":"W1776911451","doi":"10.1029/2003wr002816","title":"Artificial neural network ensembles and their application in pooled flood frequency analysis","year":2004,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Drought Analysis","field":"Environmental Science","cited_by":205,"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":"Natural Sciences and Engineering Research Council of Canada","keywords":"Artificial neural network; Computer science; Artificial intelligence; Generalization; Ensemble learning; Boosting (machine learning); Ensemble forecasting; Machine learning; Mathematics","score_opus":0.02093775302569431,"score_gpt":0.2774856757709578,"score_spread":0.2565479227452635,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1776911451","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99676716,0.0001247931,0.00037397517,0.0012375459,0.000006870318,0.00015644466,0.0000015938915,0.0000283022,0.0013033244],"genre_scores_gemma":[0.99955493,0.000015075582,0.00011800994,0.00006926578,0.0000738328,0.000044399236,0.000017767681,0.000010741731,0.00009600135],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9981064,0.00031586492,0.0002345082,0.00044143846,0.0003082592,0.0005935053],"domain_scores_gemma":[0.999498,0.000061652456,0.00002198962,0.00030641985,0.000010337411,0.00010157746],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012857952,0.00011409762,0.00020781484,0.00023955865,0.00031313716,0.000059330494,0.00026562708,0.00011039136,0.00027303223],"category_scores_gemma":[0.000018688772,0.00007487839,0.00007346772,0.0013815893,0.00037014787,0.000110126384,0.00024820538,0.00030841344,0.00030494822],"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":[0.000090694026,0.00014432243,0.66272134,0.000005805948,0.00018924856,0.00003303439,0.008884547,0.2795206,0.03997362,0.00011599566,0.000030915773,0.008289875],"study_design_scores_gemma":[0.0012652478,0.00043228286,0.6087644,0.000020324473,0.0003984423,0.000021600777,0.0014326693,0.14659022,0.0510767,0.18173961,0.0072489013,0.0010095831],"about_ca_topic_score_codex":0.0059783715,"about_ca_topic_score_gemma":0.015954545,"teacher_disagreement_score":0.18162362,"about_ca_system_score_codex":0.00008089988,"about_ca_system_score_gemma":0.0000034243474,"threshold_uncertainty_score":0.9037549},"labels":[],"label_agreement":null},{"id":"W1778048511","doi":"10.1029/2005wr004245","title":"Switching the pooling similarity distances: Mahalanobis for Euclidean","year":2006,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Drought Analysis","field":"Environmental Science","cited_by":56,"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; Conestoga College","funders":"","keywords":"Mahalanobis distance; Pooling; Statistics; Resampling; Mathematics; Flood myth; Euclidean distance; Confidence interval; Similarity (geometry); Econometrics; Computer science; Geography; Artificial intelligence","score_opus":0.029738848055209367,"score_gpt":0.30617794592814507,"score_spread":0.2764390978729357,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1778048511","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9726093,0.000105495725,0.0010011147,0.003282947,0.0000247743,0.00025828273,0.00000536313,0.00003327244,0.02267947],"genre_scores_gemma":[0.9930588,0.000007709798,0.00020184761,0.00015076828,0.00019180344,0.000058708993,0.000015584697,0.000015200453,0.00629959],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9978353,0.0002975076,0.00021153009,0.0003718472,0.00054526975,0.00073858723],"domain_scores_gemma":[0.99919,0.00032353323,0.000025695523,0.00037962908,0.000017591376,0.00006356239],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0025440028,0.0001108876,0.00013866734,0.000060185277,0.0012148876,0.00013483262,0.00059487834,0.000084906074,0.0009274289],"category_scores_gemma":[0.00006184508,0.000058544603,0.000108965556,0.0002541052,0.00036799765,0.00011898509,0.00034708262,0.00036312753,0.00042270203],"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":[0.0007663413,0.00053395587,0.77179325,0.00011648829,0.00021219686,0.00012631809,0.02512988,0.040355645,0.099198855,0.0011388455,0.04169772,0.0189305],"study_design_scores_gemma":[0.000336648,0.00006726691,0.01067682,0.000009407211,0.000024968998,0.0000053621175,0.00039912696,0.012456032,0.011505654,0.02498231,0.93933046,0.0002059268],"about_ca_topic_score_codex":0.0027279914,"about_ca_topic_score_gemma":0.002930312,"teacher_disagreement_score":0.8976328,"about_ca_system_score_codex":0.00009239766,"about_ca_system_score_gemma":0.0000032854646,"threshold_uncertainty_score":0.9999859},"labels":[],"label_agreement":null},{"id":"W1802743415","doi":"10.1002/wrcr.20298","title":"Nonlinear simulation of transverse flow interactions with chemically driven convective mixing in porous media","year":2013,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Groundwater flow and contamination studies","field":"Environmental Science","cited_by":21,"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","funders":"","keywords":"Transverse plane; Buoyancy; Chemical reaction; Porous medium; Mechanics; Mixing (physics); Flow (mathematics); Materials science; Homogeneous; Viscosity; Nonlinear system; Convection; Thermodynamics; Porosity; Chemistry; Physics; Composite material","score_opus":0.026260312363667836,"score_gpt":0.2867395902021434,"score_spread":0.2604792778384756,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1802743415","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9966208,0.0000053195376,0.001120765,0.0003162489,0.000015875909,0.00030177337,0.0000032739233,0.0000131944835,0.0016027944],"genre_scores_gemma":[0.99819136,0.0000018737027,0.00051215535,0.000013963723,0.00002284911,0.000064380925,0.000012052465,0.000011032116,0.0011703549],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99865055,0.00012866552,0.0002006063,0.00023705776,0.00046803057,0.00031508892],"domain_scores_gemma":[0.9994994,0.00019382146,0.000023418706,0.00014374456,0.00007951878,0.0000601099],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00027894566,0.000093565104,0.00014306256,0.00013134122,0.00009989348,0.000036310357,0.00017220364,0.000038198847,0.001341601],"category_scores_gemma":[0.00003230356,0.00005910962,0.000026175698,0.00024084015,0.00031465644,0.00026931977,0.0001341418,0.00022994765,0.00033233236],"study_design_candidate":"bench_or_experimental","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":[0.00043164735,0.00056893076,0.12766209,0.0000574474,0.00009325181,0.000031669853,0.23244269,0.08235791,0.51338357,0.0000028140366,0.00022006274,0.042747926],"study_design_scores_gemma":[0.0031464503,0.0005544988,0.18779647,0.00017854289,0.000020670439,0.000011912602,0.020587385,0.4375857,0.32089588,0.00019785744,0.02842552,0.0005991],"about_ca_topic_score_codex":0.0018179993,"about_ca_topic_score_gemma":0.0012752191,"teacher_disagreement_score":0.3552278,"about_ca_system_score_codex":0.0001293188,"about_ca_system_score_gemma":0.000003944113,"threshold_uncertainty_score":0.9995713},"labels":[],"label_agreement":null},{"id":"W1804299353","doi":"10.1029/2004wr003831","title":"Correction to “Prediction of fingering in porous media”","year":2005,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Groundwater flow and contamination 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":"University of Guelph","funders":"","keywords":"Wetting; Porous medium; Viscous fingering; Richards equation; Surface tension; Fluid dynamics; Flow (mathematics); Calculus (dental); Mathematics; Thermodynamics; Mechanics; Porosity; Geotechnical engineering; Physics; Geology; Medicine","score_opus":0.036135670476977313,"score_gpt":0.2852509197770649,"score_spread":0.2491152493000876,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1804299353","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9934081,0.000021884893,0.00022031872,0.00050710636,0.00012349203,0.00012809515,0.0000016181572,0.00001727923,0.0055721495],"genre_scores_gemma":[0.9922981,0.0000066508724,0.000081326245,0.000028219625,0.000075249685,0.000035559504,0.0000030402723,0.000006910013,0.00746493],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9986632,0.00009889435,0.00018926212,0.00019888152,0.00054396037,0.00030580247],"domain_scores_gemma":[0.99971896,0.00006473774,0.000011734529,0.0001292491,0.000020686757,0.00005463238],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00087053055,0.000058660302,0.0000927622,0.00019193167,0.000100403624,0.000022948227,0.00015322948,0.000028024684,0.000502099],"category_scores_gemma":[0.00006422673,0.0000436942,0.000017413598,0.00028617986,0.00009109131,0.00012476703,0.00029211078,0.00015056119,0.0005648773],"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":[0.00010866911,0.00016681886,0.29252857,0.000014966436,0.000010249102,0.000010684361,0.094735354,0.006689362,0.19055,0.0000041552003,0.009647818,0.40553334],"study_design_scores_gemma":[0.00036027696,0.00014769162,0.55502415,0.000043857577,0.0000020526843,0.000005051295,0.0019206781,0.0026873036,0.11511676,0.00002687172,0.32455394,0.00011139971],"about_ca_topic_score_codex":0.0018931854,"about_ca_topic_score_gemma":0.0023714353,"teacher_disagreement_score":0.40542194,"about_ca_system_score_codex":0.00019079221,"about_ca_system_score_gemma":0.0000015929874,"threshold_uncertainty_score":0.7260543},"labels":[],"label_agreement":null},{"id":"W1821101803","doi":"10.1029/2007wr006763","title":"Recharge sensitivity to local and regional precipitation in semiarid midlatitude regions","year":2009,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Environment and Climate Change Canada; Simon Fraser University","funders":"","keywords":"Groundwater recharge; Precipitation; Environmental science; Hydrology (agriculture); Groundwater; Structural basin; Climatology; Geology; Aquifer; Geography; Meteorology; Geomorphology","score_opus":0.039934349052345226,"score_gpt":0.31154493921605103,"score_spread":0.2716105901637058,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1821101803","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9715006,0.000019363517,0.00047385792,0.021533024,0.000012719047,0.0003090117,8.699021e-7,0.000022988435,0.006127619],"genre_scores_gemma":[0.99671936,0.000032572807,0.00024068532,0.0006723763,0.00002250035,0.000022680524,0.000005254241,0.00000547019,0.0022791133],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99823076,0.0003794436,0.00013069027,0.0003817585,0.00038280615,0.0004945295],"domain_scores_gemma":[0.9996107,0.00009126649,0.000010059125,0.0001753016,0.000010999568,0.00010166633],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016761121,0.00009398506,0.000114950795,0.00016966174,0.00027817924,0.000030775507,0.00011404697,0.00006894578,0.00009523568],"category_scores_gemma":[0.0000454516,0.0000697145,0.000017399456,0.00023909894,0.00031814526,0.00012937083,0.0003385894,0.00026466476,0.00040569087],"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":[0.0020033107,0.0011183546,0.47942388,0.000088872424,0.00010669861,0.00089994475,0.19241695,0.03563104,0.11397986,0.0019486969,0.11038462,0.061997756],"study_design_scores_gemma":[0.0008414338,0.00059544214,0.75373954,0.00006548846,0.00000818918,0.000020332534,0.0010413884,0.003931305,0.0063161543,0.013551671,0.21948883,0.0004002069],"about_ca_topic_score_codex":0.00063899136,"about_ca_topic_score_gemma":0.0010736468,"teacher_disagreement_score":0.27431566,"about_ca_system_score_codex":0.00011214752,"about_ca_system_score_gemma":0.000001564504,"threshold_uncertainty_score":0.52144706},"labels":[],"label_agreement":null},{"id":"W1821939522","doi":"10.1029/2008wr007196","title":"Regional low‐flow frequency analysis using single and ensemble artificial neural networks","year":2009,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrological Forecasting Using AI","field":"Environmental Science","cited_by":94,"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; Agence Nationale pour la Gestion des Déchets Radioactifs","keywords":"Artificial neural network; Generalization; Jackknife resampling; Computer science; Ensemble learning; Quantile; Ensemble forecasting; Artificial intelligence; Perceptron; Multilayer perceptron; Parametric statistics; Nonparametric statistics; Regression; Machine learning; Mathematics; Statistics; Estimator","score_opus":0.09425411509377377,"score_gpt":0.31540218962023336,"score_spread":0.2211480745264596,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1821939522","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99689543,0.000056235105,0.0008608644,0.0008401747,0.00002321782,0.00013005221,0.0000012314046,0.00007348336,0.0011193153],"genre_scores_gemma":[0.9978792,0.0000026683504,0.0015049678,0.00021218215,0.00015375012,0.000002753743,0.000009860659,0.000016546437,0.00021805566],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99702847,0.0003875478,0.0002643247,0.0005820582,0.00080568873,0.00093188783],"domain_scores_gemma":[0.9993007,0.00009216007,0.000033801723,0.0003145978,0.00002589508,0.00023285649],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011649029,0.00016001561,0.00022520495,0.00020312621,0.0005974969,0.00023077893,0.00031719948,0.00013971375,0.0005255104],"category_scores_gemma":[0.00006926988,0.00011238099,0.00009318634,0.00094971416,0.0005984826,0.00014333511,0.00028051028,0.00046120476,0.000103650855],"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":[0.00009390434,0.00018045446,0.01177574,0.0000038032078,0.00004178,0.000110187735,0.0017577516,0.8291157,0.13874696,0.000010034432,0.00024048531,0.017923202],"study_design_scores_gemma":[0.0001031587,0.00027288529,0.0055394075,0.000009393908,0.000035179495,0.000023048342,0.000023084856,0.9883823,0.0024898443,0.0022484818,0.00067490013,0.00019835257],"about_ca_topic_score_codex":0.00057372905,"about_ca_topic_score_gemma":0.00010957028,"teacher_disagreement_score":0.15926656,"about_ca_system_score_codex":0.00014685513,"about_ca_system_score_gemma":0.000002695374,"threshold_uncertainty_score":0.575397},"labels":[],"label_agreement":null},{"id":"W1824058942","doi":"10.1029/2008wr007134","title":"One‐dimensional numerical modeling of sediment transport and bed deformation in open channels","year":2009,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Sediment Transport Processes","field":"Environmental Science","cited_by":82,"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":"Sediment transport; Beach morphodynamics; Geology; Geotechnical engineering; Sediment; Erosion; Deposition (geology); Mechanics; Flow (mathematics); Shear stress; Geometry; Geomorphology; Mathematics; Physics","score_opus":0.04934429211626741,"score_gpt":0.30458999558835803,"score_spread":0.25524570347209063,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1824058942","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99608403,0.000043336655,0.0001420444,0.0011041161,0.000009130852,0.0003158324,0.0000016366713,0.000008504476,0.0022913474],"genre_scores_gemma":[0.99948436,0.00001574025,0.00023373643,0.000115115545,0.000011351947,0.000018040479,0.000020762218,0.0000053148965,0.000095564035],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984232,0.00009462472,0.00028078968,0.00026956326,0.00054934446,0.00038248286],"domain_scores_gemma":[0.99973136,0.000020657506,0.000017391203,0.00012406241,0.0000147816245,0.000091726804],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012875084,0.00008363022,0.0001725907,0.00010753653,0.00012611176,0.000019087845,0.0003113424,0.00008056632,0.00062909495],"category_scores_gemma":[0.0000052208343,0.000063029336,0.000018961133,0.00019173321,0.00013847068,0.00031428182,0.000110643676,0.00023151515,0.000041429303],"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":[0.002134154,0.0017228284,0.1546365,0.00013070455,0.00004583767,0.00007088961,0.062183976,0.70574605,0.059547696,0.00013840245,0.000069582326,0.013573377],"study_design_scores_gemma":[0.0050533027,0.0023572484,0.106386386,0.00028827373,0.000034235913,0.000024595129,0.00086411607,0.7326625,0.12848537,0.01736383,0.0056224107,0.0008577397],"about_ca_topic_score_codex":0.0007537246,"about_ca_topic_score_gemma":0.000041348772,"teacher_disagreement_score":0.06893767,"about_ca_system_score_codex":0.000038979517,"about_ca_system_score_gemma":0.0000066388957,"threshold_uncertainty_score":0.6888148},"labels":[],"label_agreement":null},{"id":"W1824092588","doi":"10.1029/2012wr011821","title":"A Bayesian methodological framework for accommodating interannual variability of nutrient loading with the SPARROW model","year":2012,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Soil and Water Nutrient Dynamics","field":"Environmental Science","cited_by":59,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Ministry of the Environment, Conservation and Parks; University of Toronto","funders":"","keywords":"Environmental science; Watershed; Sparrow; Hydrology (agriculture); Bayesian inference; Bayesian probability; Statistics; Computer science; Ecology; Mathematics; Geology","score_opus":0.12766811141891066,"score_gpt":0.3774819397929762,"score_spread":0.24981382837406552,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1824092588","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.74792933,0.000009944882,0.24990104,0.0008026392,0.00002490483,0.00043957928,0.0000090175645,0.000017986762,0.0008655726],"genre_scores_gemma":[0.9551788,0.0000019455351,0.044376235,0.0000613813,0.00008659106,0.00014053543,0.0000063703246,0.000019440935,0.00012867605],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99692976,0.00087831327,0.00025209945,0.00033823767,0.0007067123,0.00089487556],"domain_scores_gemma":[0.9977701,0.0014981746,0.00005309962,0.00047391932,0.00004307,0.00016169097],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0074901306,0.0001473617,0.00022333881,0.000055507982,0.0003741835,0.00006166013,0.00066230877,0.00011784965,0.00010336267],"category_scores_gemma":[0.00037902058,0.00006783346,0.00007945277,0.00025543966,0.00065552036,0.00019012316,0.0007579701,0.0005055243,0.00002090373],"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":[0.0013966333,0.0005946713,0.906331,0.0001236119,0.000064546606,0.000002403607,0.065347485,0.015103585,0.003133707,0.0034963482,0.0004499243,0.003956094],"study_design_scores_gemma":[0.0017491187,0.0012609868,0.013976093,0.00022287278,0.00007924154,0.000034785287,0.0072266017,0.5263693,0.05649782,0.36864892,0.023015223,0.000919067],"about_ca_topic_score_codex":0.0001154958,"about_ca_topic_score_gemma":0.0000042450242,"teacher_disagreement_score":0.8923549,"about_ca_system_score_codex":0.0001182537,"about_ca_system_score_gemma":0.000004638403,"threshold_uncertainty_score":0.28779545},"labels":[],"label_agreement":null},{"id":"W1824614064","doi":"10.1029/2011wr010616","title":"Three‐dimensional transient hydraulic tomography in a highly heterogeneous glaciofluvial aquifer‐aquitard system","year":2011,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Groundwater flow and contamination studies","field":"Environmental Science","cited_by":141,"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":"Ontario Research Foundation","keywords":"Hydraulic conductivity; Aquifer; Tomography; Permeameter; Slug test; Electrical resistivity tomography; Geology; Geotechnical engineering; Transient (computer programming); Groundwater; Soil science; Engineering; Computer science; Physics; Electrical resistivity and conductivity; Optics; Electrical engineering","score_opus":0.04160544995804784,"score_gpt":0.2549700417143465,"score_spread":0.21336459175629868,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1824614064","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99304736,0.00012733361,0.00025196504,0.00019833648,0.000101096906,0.00045926598,0.0000054459283,0.00007597785,0.0057332385],"genre_scores_gemma":[0.998768,0.0000030385147,0.00015443322,0.00006449464,0.00005444388,0.00017723512,0.0000074869613,0.000026436555,0.0007444325],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9964085,0.00029524858,0.00038739244,0.000628472,0.0012837686,0.0009965688],"domain_scores_gemma":[0.9993139,0.000043501703,0.000025253086,0.0003953528,0.00003375332,0.00018823761],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0011394941,0.00022268944,0.00026316903,0.0003533307,0.00037992073,0.0000675828,0.00053561333,0.000102420716,0.000803368],"category_scores_gemma":[0.000005739411,0.00015315299,0.00012505765,0.0004538587,0.0004909445,0.00016454642,0.0005759504,0.00032101016,0.001460033],"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":[0.002811837,0.0021919047,0.6314016,0.00039699723,0.00042528406,0.0032630875,0.19274591,0.0013888802,0.092167035,0.0003794676,0.0044909483,0.06833703],"study_design_scores_gemma":[0.005024893,0.002308598,0.56964123,0.00029461368,0.000062215986,0.0002791894,0.003984719,0.006501789,0.12726206,0.0011089033,0.2816424,0.0018893832],"about_ca_topic_score_codex":0.0050511174,"about_ca_topic_score_gemma":0.0031660274,"teacher_disagreement_score":0.27715147,"about_ca_system_score_codex":0.00024714388,"about_ca_system_score_gemma":0.0000052182445,"threshold_uncertainty_score":0.99931747},"labels":[],"label_agreement":null},{"id":"W1828519757","doi":"10.1002/2015wr017318","title":"Predicting colloid transport through saturated porous media: A critical review","year":2015,"lang":"en","type":"review","venue":"Water Resources Research","topic":"Groundwater flow and contamination studies","field":"Environmental Science","cited_by":297,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Porous medium; Colloid; Geotechnical engineering; Porosity; Materials science; Geology; Environmental science; Chemical engineering; Engineering","score_opus":0.15032577084994464,"score_gpt":0.39590799823462813,"score_spread":0.2455822273846835,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1828519757","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00025482872,0.9880199,0.000018114042,0.000502771,0.00018601744,0.0014912805,0.000072113005,0.00011307809,0.009341889],"genre_scores_gemma":[0.00033716968,0.98819876,0.00006939246,0.00012897147,0.00025915567,0.0006514968,0.00026244565,0.0000892622,0.010003354],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99240613,0.0013880383,0.0010410224,0.0010618119,0.0027446784,0.0013583017],"domain_scores_gemma":[0.9981739,0.0004761779,0.00009465253,0.0007252382,0.00019820513,0.00033183422],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.004007109,0.0005665555,0.0018824013,0.00014956376,0.00057758193,0.00012710872,0.0011295651,0.00037856906,0.0019054483],"category_scores_gemma":[0.00040447075,0.0003352895,0.00033717725,0.00096186704,0.0010490323,0.00030362557,0.0009167395,0.0014309563,0.003675583],"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":[0.000026059884,0.000203838,0.00028247683,0.042230897,0.0002174633,0.0005263299,0.010357109,8.870808e-7,0.000007617027,0.000018714018,0.028850932,0.9172777],"study_design_scores_gemma":[0.00014588531,0.00008733239,0.000017989465,0.012754058,0.00026364834,0.0000938547,0.00019088209,0.000002099337,0.000005981499,0.000048134378,0.9859971,0.00039307313],"about_ca_topic_score_codex":0.00079197745,"about_ca_topic_score_gemma":0.0001938156,"teacher_disagreement_score":0.9571461,"about_ca_system_score_codex":0.0006132807,"about_ca_system_score_gemma":0.00006631643,"threshold_uncertainty_score":0.99990994},"labels":[],"label_agreement":null},{"id":"W1828603833","doi":"10.1002/2015wr016966","title":"What does it take to flood the <scp>P</scp>ampas?: Lessons from a decade of strong hydrological fluctuations","year":2015,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":85,"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":"Agencia Nacional de Promoción Científica y Tecnológica; International Development Research Centre","keywords":"Flood myth; Evapotranspiration; Water table; Precipitation; Environmental science; Hydrology (agriculture); Surface water; Groundwater; Infiltration (HVAC); Water storage; Water level; Geology; Geography; Environmental engineering; Geomorphology; Meteorology; Ecology","score_opus":0.08229445995775492,"score_gpt":0.33936703575974153,"score_spread":0.2570725758019866,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1828603833","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9614813,0.00010866994,0.00009198148,0.027231459,0.000108286295,0.00045267853,0.000013013064,0.000030131674,0.010482497],"genre_scores_gemma":[0.9932667,0.00006938306,0.0001437095,0.00048251278,0.00009545344,0.0001340095,0.000014948414,0.0000138085425,0.0057794857],"study_design_codex":"qualitative","study_design_gemma":"not_applicable","domain_scores_codex":[0.9968738,0.00058928697,0.00026485755,0.00050094404,0.0009777317,0.00079338177],"domain_scores_gemma":[0.9986744,0.00049429503,0.00003406724,0.0005405279,0.00003743121,0.00021929713],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0020152063,0.00016311799,0.00021876999,0.00011681236,0.00051305536,0.000147839,0.00097541226,0.00011010508,0.00051181397],"category_scores_gemma":[0.00040255324,0.00007621266,0.000064275075,0.00030842974,0.001042892,0.0002226465,0.0020851144,0.00039403,0.0016435883],"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":[0.0002900558,0.0010927855,0.12962978,0.00004116519,0.0007597312,0.00013872613,0.65208554,0.051791355,0.0334519,0.00085323513,0.123733655,0.0061320686],"study_design_scores_gemma":[0.0009268049,0.0006791907,0.03941716,0.0000424834,0.00006254736,0.0000028073632,0.055270858,0.0016869011,0.021837095,0.018319782,0.8615876,0.00016675815],"about_ca_topic_score_codex":0.0010500061,"about_ca_topic_score_gemma":0.0014503474,"teacher_disagreement_score":0.73785394,"about_ca_system_score_codex":0.000073849566,"about_ca_system_score_gemma":0.000005846749,"threshold_uncertainty_score":0.99913377},"labels":[],"label_agreement":null},{"id":"W1832304493","doi":"10.1029/2001wr000674","title":"Two‐dimensional modeling of flow and transport in the vadose zone with surfactant‐induced flow","year":2002,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Groundwater flow and contamination studies","field":"Environmental Science","cited_by":38,"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":"Vadose zone; Infiltration (HVAC); Capillary action; Surface tension; Pulmonary surfactant; Capillary pressure; Hydraulic conductivity; Geology; Plume; Flow (mathematics); Soil science; Environmental science; Geotechnical engineering; Hydrology (agriculture); Porous medium; Mechanics; Chemistry; Materials science; Soil water; Porosity; Thermodynamics; Composite material","score_opus":0.05601972466367672,"score_gpt":0.27146388840987257,"score_spread":0.21544416374619585,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1832304493","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9974787,0.00007420047,0.00017359413,0.00066558033,0.000007800386,0.00021099258,0.0000033524925,0.0000073405017,0.001378416],"genre_scores_gemma":[0.9982953,0.000011226086,0.00033467222,0.00003798586,0.000013301472,0.000024705898,0.0000036003557,0.000009723304,0.0012694628],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99803305,0.00019940217,0.00019000395,0.00027115716,0.0009218215,0.00038457438],"domain_scores_gemma":[0.9996429,0.00006610169,0.000012833142,0.00020130484,0.000027098278,0.000049779104],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010717486,0.00010596473,0.00014634941,0.00008481055,0.00021533975,0.000029919353,0.00022548686,0.000033416105,0.00044353717],"category_scores_gemma":[0.000005313016,0.00005336457,0.000022865415,0.00022940442,0.00024241481,0.0001225906,0.000119341275,0.00023644886,0.000055357097],"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":[0.0006480319,0.0008983856,0.24957459,0.00010424903,0.00011342273,0.0003800683,0.26734665,0.31985188,0.08650617,0.000020976959,0.00029452957,0.074261054],"study_design_scores_gemma":[0.0019223252,0.0003990169,0.037636418,0.000059534883,0.0000142753715,0.00003466451,0.003128361,0.9477752,0.0049151015,0.0000750001,0.0037613222,0.00027877375],"about_ca_topic_score_codex":0.0015321696,"about_ca_topic_score_gemma":0.0009941381,"teacher_disagreement_score":0.6279233,"about_ca_system_score_codex":0.000032651144,"about_ca_system_score_gemma":0.0000018195323,"threshold_uncertainty_score":0.4856421},"labels":[],"label_agreement":null},{"id":"W1833846818","doi":"10.1002/2014wr016728","title":"Predicting glacio‐hydrologic change in the headwaters of the <scp>Z</scp>ongo <scp>R</scp>iver, <scp>C</scp>ordillera <scp>R</scp>eal, <scp>B</scp>olivia","year":2015,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":40,"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 British Columbia","funders":"Goddard Space Flight Center; National Aeronautics and Space Administration","keywords":"Glacier; Meltwater; Surface runoff; Climate change; Glacier mass balance; Streamflow; Evapotranspiration; Environmental science; Hydrology (agriculture); Snow; Watershed; Climatology; Geology; Physical geography; Drainage basin; Geomorphology; Geography; Ecology; Oceanography","score_opus":0.10274411316127295,"score_gpt":0.2932363912016556,"score_spread":0.19049227804038266,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1833846818","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95701855,0.008704113,0.00001887831,0.0009961392,0.0010902518,0.0029307452,0.0004325716,0.0002757398,0.028533014],"genre_scores_gemma":[0.97641367,0.0020739874,0.00022676747,0.0015649261,0.0018649293,0.00033887557,0.00044454803,0.00013425374,0.01693803],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.982879,0.003200794,0.0018570577,0.002138549,0.00482317,0.005101446],"domain_scores_gemma":[0.97956204,0.015416736,0.0006779166,0.0023396078,0.0009196644,0.0010840449],"candidate_categories":["metaresearch","metaepi_narrow","sts","scholarly_communication","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.008957904,0.0013317526,0.0015742187,0.00080057257,0.002825618,0.001113141,0.0048521953,0.0008804329,0.00011161325],"category_scores_gemma":[0.010291366,0.0008032367,0.0006803921,0.0038907193,0.002113993,0.00103051,0.0016762188,0.0031172477,0.00092553394],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015343576,0.00035079944,0.7399437,0.00030624415,0.00034317194,0.00018059755,0.15727231,0.004906586,0.00027557844,0.000044328033,0.09506056,0.001300788],"study_design_scores_gemma":[0.0015947053,0.0010393214,0.28231907,0.00023025395,0.00009910355,0.000072974624,0.08584182,0.009346184,0.0008591678,0.00067290256,0.6178252,0.00009927618],"about_ca_topic_score_codex":0.023957388,"about_ca_topic_score_gemma":0.0101909945,"teacher_disagreement_score":0.5227646,"about_ca_system_score_codex":0.00018783151,"about_ca_system_score_gemma":0.00027894977,"threshold_uncertainty_score":0.9999434},"labels":[],"label_agreement":null},{"id":"W1835367991","doi":"10.1029/2011wr010682","title":"Assessment of BTEX‐induced health risk under multiple uncertainties at a petroleum‐contaminated site: An integrated fuzzy stochastic approach","year":2011,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Groundwater flow and contamination studies","field":"Environmental Science","cited_by":14,"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 Regina","funders":"Major Science and Technology Program for Water Pollution Control and Treatment","keywords":"Fuzzy logic; Computer science; Uncertainty analysis; Interval (graph theory); BTEX; Environmental science; Risk assessment; Risk analysis (engineering); Mathematical optimization; Mathematics; Simulation; Artificial intelligence","score_opus":0.07959785542625031,"score_gpt":0.32182039617079145,"score_spread":0.24222254074454114,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1835367991","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98917824,0.000043262353,0.0071636424,0.000078253215,0.000046759407,0.00058143697,0.000033718265,0.00006758644,0.002807119],"genre_scores_gemma":[0.9925616,0.000010781826,0.00078276027,0.000038474896,0.000022233764,0.00015766364,0.00008711339,0.000037421913,0.0063019977],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99518794,0.0013189899,0.0005204967,0.0007257935,0.0012676392,0.00097916],"domain_scores_gemma":[0.9987314,0.00012371551,0.00014243711,0.0006033423,0.00012895303,0.0002701684],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002472933,0.00028493497,0.00043648467,0.0002984422,0.00079267204,0.00007417149,0.00059190945,0.00011481321,0.00076628686],"category_scores_gemma":[0.00004669132,0.00018951515,0.000091470436,0.00042823216,0.0006561958,0.00025667663,0.00091436226,0.0005506302,0.00019969555],"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":[0.0008318432,0.002975905,0.566013,0.00023249208,0.00047029712,0.000027336424,0.27670878,0.010402735,0.110485956,0.00015449214,0.0006637585,0.031033458],"study_design_scores_gemma":[0.0015323136,0.0015089376,0.9448977,0.000038581216,0.000025747166,0.000008830935,0.017583858,0.026876759,0.003988578,0.00013203408,0.00299624,0.0004104261],"about_ca_topic_score_codex":0.03487386,"about_ca_topic_score_gemma":0.004794768,"teacher_disagreement_score":0.37888473,"about_ca_system_score_codex":0.00079442305,"about_ca_system_score_gemma":0.000030788233,"threshold_uncertainty_score":0.971553},"labels":[],"label_agreement":null},{"id":"W1837304953","doi":"10.1002/wrcr.20375","title":"An acoustic travel time method for continuous velocity monitoring in shallow tidal streams","year":2013,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Underwater Acoustics Research","field":"Earth and Planetary Sciences","cited_by":21,"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 Ottawa","funders":"Japan Society for the Promotion of Science","keywords":"Geology; Acoustic Doppler current profiler; Wedge (geometry); Traverse; Geodesy; STREAMS; Flow velocity; Acoustics; Flow (mathematics); Current (fluid); Mechanics; Geometry; Mathematics; Physics; Computer science","score_opus":0.05098097830329778,"score_gpt":0.3371177419138501,"score_spread":0.2861367636105523,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1837304953","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9879908,0.00006475318,0.007877954,0.00027788655,0.00007195894,0.0014075701,0.00008294024,0.000049786515,0.0021763497],"genre_scores_gemma":[0.9796001,0.000014245214,0.015185087,0.000017677505,0.0003719084,0.000080705264,0.00013965127,0.000027415806,0.004563225],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99470717,0.00090939977,0.00041374547,0.0007502656,0.001287645,0.0019317585],"domain_scores_gemma":[0.9976858,0.0008966592,0.000029575003,0.0005039006,0.00037311195,0.00051096256],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0037009073,0.000253085,0.00038647416,0.0006598707,0.00042691358,0.0007559636,0.0010930087,0.0002183293,0.004361959],"category_scores_gemma":[0.0001430203,0.00017806895,0.0000786984,0.0004123694,0.00024768242,0.00044760513,0.00009507061,0.0007930353,0.0020091566],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006116332,0.00036949536,0.36599824,0.00037012462,0.00010569723,0.00013340688,0.014285506,0.062470216,0.3004166,0.0000015754331,0.0005882763,0.25464922],"study_design_scores_gemma":[0.00086677517,0.0007769062,0.10566674,0.00004584879,0.0000069763396,0.000012982895,0.0015923403,0.86626095,0.02247453,0.0010129077,0.000933165,0.00034988025],"about_ca_topic_score_codex":0.024598358,"about_ca_topic_score_gemma":0.0019313309,"teacher_disagreement_score":0.80379075,"about_ca_system_score_codex":0.000055101256,"about_ca_system_score_gemma":0.00006347728,"threshold_uncertainty_score":0.9987679},"labels":[],"label_agreement":null},{"id":"W1845010849","doi":"10.1029/2011wr011323","title":"Nonparametric methods for drought severity estimation at ungauged sites","year":2012,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Drought Analysis","field":"Environmental Science","cited_by":46,"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":"Jackknife resampling; Quantile; Artificial neural network; Statistics; Support vector machine; Nonparametric statistics; Quantile regression; Regression; Frequency analysis; Computer science; Mathematics; Artificial intelligence","score_opus":0.06112465298723628,"score_gpt":0.4005586706711567,"score_spread":0.3394340176839204,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1845010849","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98154634,0.00019068156,0.010505184,0.0005422976,0.000033700682,0.0003345802,0.000004012945,0.000038492395,0.006804681],"genre_scores_gemma":[0.9446712,0.0000090117155,0.043817226,0.000085343614,0.00008973948,0.00011442935,0.00004951694,0.000017703653,0.011145797],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99708134,0.0009319091,0.00021396777,0.00034563642,0.00046545526,0.00096169574],"domain_scores_gemma":[0.998703,0.0006665684,0.000031774667,0.00036107306,0.000022252485,0.00021533344],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0056594876,0.0001293063,0.00019756744,0.00021480994,0.00072948827,0.000050731276,0.0003590761,0.00015830046,0.00435602],"category_scores_gemma":[0.00030881015,0.000088646084,0.00010904829,0.00069283333,0.00037906237,0.00030950378,0.0006009544,0.0002666499,0.0029501296],"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":[0.00062228827,0.00066505023,0.6381922,0.00010529847,0.00020907793,0.0000067079145,0.021226399,0.003966865,0.22117025,0.00007059274,0.014153166,0.09961213],"study_design_scores_gemma":[0.00050082896,0.0001523257,0.031971578,0.000004447845,0.00005875976,0.000013260077,0.000091107744,0.08414288,0.24485783,0.0033299911,0.6345369,0.00034010367],"about_ca_topic_score_codex":0.00028097545,"about_ca_topic_score_gemma":0.00006522676,"teacher_disagreement_score":0.62038374,"about_ca_system_score_codex":0.0002551941,"about_ca_system_score_gemma":0.0000024670865,"threshold_uncertainty_score":0.9978262},"labels":[],"label_agreement":null},{"id":"W1846289495","doi":"10.1029/2009wr008329","title":"Mobilization of coarse surface layers in gravel‐bedded rivers by finer gravel bed load","year":2010,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Sediment Transport Processes","field":"Environmental Science","cited_by":125,"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":"","keywords":"Bed load; Flume; Geology; Bedform; Sediment transport; Sediment; Suspended load; Turbulence; Drag; Geotechnical engineering; Hyperconcentrated flow; Flow (mathematics); Geomorphology; Hydrology (agriculture); Mechanics","score_opus":0.018795371697984297,"score_gpt":0.279920343893351,"score_spread":0.26112497219536673,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1846289495","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99597067,0.000027419674,0.000020869455,0.00035111795,0.00003716538,0.00026810128,0.000011734423,0.000018184875,0.0032947185],"genre_scores_gemma":[0.99750835,0.000027628052,0.00015217239,0.000037716756,0.000009209718,0.000014335641,0.00003882416,0.000014248813,0.0021975357],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9978865,0.00015736025,0.00025545884,0.00037775654,0.0007872627,0.0005356996],"domain_scores_gemma":[0.9994714,0.00007812119,0.00003048403,0.0002701065,0.000037752347,0.000112123074],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0013868958,0.00012375752,0.00017528971,0.00008810814,0.00013132008,0.000018935576,0.00044405885,0.00016919328,0.0037008517],"category_scores_gemma":[0.000045376917,0.0000918971,0.000036556758,0.00041262124,0.0008698223,0.00014659704,0.00013423993,0.0005087992,0.00029961474],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017186665,0.00019342826,0.2370849,0.000030454285,0.000010161644,0.000015834263,0.008514645,0.0037891564,0.7484478,0.000008759678,0.0011731324,0.0005599115],"study_design_scores_gemma":[0.0017554498,0.00027213924,0.01972688,0.000023551402,0.000011030153,0.0000036273186,0.0005990075,0.0045961295,0.9003085,0.00086451095,0.07149201,0.0003471577],"about_ca_topic_score_codex":0.0030521227,"about_ca_topic_score_gemma":0.0021552169,"teacher_disagreement_score":0.21735801,"about_ca_system_score_codex":0.000051189083,"about_ca_system_score_gemma":0.000014384287,"threshold_uncertainty_score":0.9972099},"labels":[],"label_agreement":null},{"id":"W1846585122","doi":"10.1002/wrcr.20336","title":"Estimation of the summer-fall PMP and PMF of a northern watershed under a changed climate","year":2013,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Climate variability and models","field":"Environmental Science","cited_by":93,"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 Sherbrooke; École de Technologie Supérieure","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Environmental science; Climatology; Watershed; Climate model; Climate change; Precipitation; Flood myth; Precipitable water; Meteorology; Drainage basin; Hydrological modelling; Geography; Geology","score_opus":0.05813113990044209,"score_gpt":0.29694551385863566,"score_spread":0.23881437395819358,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1846585122","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9958929,0.000010817036,0.000017994305,0.0014772919,0.000011275705,0.0005018912,0.000005949031,0.000008746323,0.002073177],"genre_scores_gemma":[0.9994437,0.000015817635,0.0001037834,0.000035572266,0.0000073922915,0.000046295274,0.0000058084497,0.0000117760555,0.00032985327],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99825996,0.00028436445,0.00023457417,0.00024201066,0.00056139106,0.0004177254],"domain_scores_gemma":[0.999391,0.00008262628,0.00004260267,0.00038592902,0.000027410113,0.00007039893],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0011620299,0.000089928144,0.00014520879,0.00004946312,0.0001572507,0.000035681904,0.0003102969,0.000067219386,0.00094647787],"category_scores_gemma":[0.00003705989,0.000047870744,0.00004353798,0.00017014724,0.0006674915,0.00013731848,0.00095344166,0.0001583385,0.00017619271],"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":[0.00018079676,0.00039849142,0.61746144,0.00040728805,0.000044412263,0.0000014469013,0.054046128,0.020713469,0.2991718,0.000067695946,0.00034150932,0.007165511],"study_design_scores_gemma":[0.0021848308,0.00064098754,0.56896174,0.00022747884,0.000051590265,0.000013323239,0.003703248,0.21516626,0.18555105,0.017262636,0.0056051784,0.0006316825],"about_ca_topic_score_codex":0.009529264,"about_ca_topic_score_gemma":0.0016438386,"teacher_disagreement_score":0.19445279,"about_ca_system_score_codex":0.000057548692,"about_ca_system_score_gemma":0.0000028665784,"threshold_uncertainty_score":0.9999668},"labels":[],"label_agreement":null},{"id":"W1849308305","doi":"10.1029/2002wr001861","title":"Pore network simulation of the dissolution of a single‐component wetting nonaqueous phase liquid","year":2003,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Enhanced Oil Recovery Techniques","field":"Engineering","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Dissolution; Micromodel; Wetting; Mass transfer; Materials science; Phase (matter); Capillary action; Porous medium; Diffusion; Capillary pressure; Chemical engineering; Chemical physics; Composite material; Porosity; Chromatography; Chemistry; Thermodynamics","score_opus":0.03763455106681847,"score_gpt":0.31706948093098375,"score_spread":0.2794349298641653,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1849308305","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99047923,0.00028542487,0.003402952,0.000024809962,0.000066086366,0.00030120125,0.0000045708252,0.00009739341,0.005338323],"genre_scores_gemma":[0.9991845,0.000017798593,0.0005324674,0.000003370451,0.00005824062,0.000020229105,0.00000673502,0.000034426932,0.00014225616],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99823016,0.00028792385,0.00034576675,0.00015239822,0.000539417,0.0004443408],"domain_scores_gemma":[0.9992265,0.00019549526,0.00004496507,0.0003597406,0.0001285637,0.000044720775],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010420637,0.000110336725,0.00017439744,0.00012809562,0.00010431221,0.000019287223,0.0002481393,0.00009258655,0.00004187508],"category_scores_gemma":[0.00013826104,0.00007414631,0.000081307204,0.00033786372,0.00012642179,0.00007446865,0.00009485965,0.00028313426,0.0000036508964],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008434086,0.00007452,0.00015274755,0.00012696668,0.00002146799,0.0000023914747,0.0012386072,0.43498483,0.5611835,0.000046127723,0.00008465939,0.001999823],"study_design_scores_gemma":[0.00024458588,0.00025530817,0.000081114355,0.00021171116,0.0000056002646,0.000002886071,0.000055107892,0.03386253,0.9495055,0.00045325022,0.015225125,0.000097254946],"about_ca_topic_score_codex":0.000024709878,"about_ca_topic_score_gemma":0.000010001098,"teacher_disagreement_score":0.4011223,"about_ca_system_score_codex":0.00011046251,"about_ca_system_score_gemma":0.000006892382,"threshold_uncertainty_score":0.30235988},"labels":[],"label_agreement":null},{"id":"W1849454962","doi":"10.1029/2009wr008475","title":"A new methodology for flood hazard assessment considering dike breaches","year":2010,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Flood Risk Assessment and Management","field":"Environmental Science","cited_by":183,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Manitoba Hydro","funders":"U.S. Army Corps of Engineers","keywords":"Dike; Flood myth; Probabilistic logic; Geology; Hazard analysis; Piping; Randomness; Hazard; Geotechnical engineering; Hydrology (agriculture); Environmental science; Engineering; Reliability engineering; Computer science; Statistics","score_opus":0.1279900440412561,"score_gpt":0.40683383027909337,"score_spread":0.27884378623783723,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1849454962","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96130824,0.00002003221,0.011022115,0.0034880117,0.00028301228,0.0009896327,0.0000037991654,0.00008477134,0.022800362],"genre_scores_gemma":[0.7885361,0.000013763163,0.19388767,0.00013505772,0.00031024645,0.00025500095,0.000016433221,0.000045460605,0.016800284],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.9971135,0.00034912676,0.0002561567,0.00057528145,0.00074838835,0.00095754914],"domain_scores_gemma":[0.99878275,0.00039349435,0.00003248897,0.0005169685,0.000023356362,0.0002509125],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0036200061,0.0001781417,0.00023312397,0.00015651739,0.00042167687,0.00020219017,0.00061843556,0.00011773047,0.0036370647],"category_scores_gemma":[0.00007932925,0.00012345971,0.00009600564,0.00016618287,0.00030028264,0.00016299495,0.0011766539,0.00059785205,0.00041632916],"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":[0.0001974575,0.00034963977,0.07478757,0.000103223865,0.00018823823,0.000043751217,0.010435112,0.00057008094,0.71814585,0.0019593053,0.06288932,0.13033041],"study_design_scores_gemma":[0.0010054322,0.0002921047,0.016217545,0.000009227118,0.000025959718,0.000009487349,0.00073204574,0.0015733741,0.06297471,0.0075045405,0.9093688,0.000286741],"about_ca_topic_score_codex":0.0028862916,"about_ca_topic_score_gemma":0.0032373678,"teacher_disagreement_score":0.84647954,"about_ca_system_score_codex":0.000090001275,"about_ca_system_score_gemma":0.00002085288,"threshold_uncertainty_score":0.99727374},"labels":[],"label_agreement":null},{"id":"W1849498414","doi":"10.1029/2010wr009384","title":"Potential impacts of precipitation change on large‐scale patterns of tree diversity","year":2010,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":11,"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":"McGill University; National Science Foundation","keywords":"Biodiversity; Ecosystem; Climate change; Ecology; Ecosystem diversity; Range (aeronautics); Environmental resource management; Precipitation; Environmental science; Temporal scales; Diversity (politics); Spatial ecology; Resource (disambiguation); Geography; Computer science; Biology","score_opus":0.056707825086887174,"score_gpt":0.31011035238022316,"score_spread":0.253402527293336,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1849498414","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9929264,0.000003543758,0.0000045678285,0.00031711147,0.0000645362,0.00020386228,0.00017179789,0.000010449555,0.006297705],"genre_scores_gemma":[0.99937665,0.000014733931,0.000006382734,0.000022648368,0.000043054497,0.000009919868,0.00005937024,0.0000066419752,0.00046057545],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9983283,0.0001130655,0.00013340107,0.00019418885,0.0008469604,0.00038405976],"domain_scores_gemma":[0.9995341,0.000028240762,0.000039231185,0.0002505928,0.00004018276,0.00010766404],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007281689,0.00007281802,0.00010716952,0.0000868359,0.0001955301,0.000017802518,0.00032393294,0.00007674,0.030248005],"category_scores_gemma":[0.000029288807,0.00005215434,0.0000585407,0.00013607033,0.00019890166,0.00010817442,0.00083045516,0.00022315377,0.00044477195],"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":[0.00021291782,0.00044285157,0.63658154,0.000050392922,0.000010287014,0.0000057561333,0.028896116,0.0000029390158,0.3311168,0.00003528365,0.0009364944,0.0017086628],"study_design_scores_gemma":[0.000382528,0.00021382193,0.8557017,0.000009967061,0.0000036352112,8.9713615e-7,0.0026618352,0.00004129803,0.134021,0.000037562007,0.0068619726,0.000063802065],"about_ca_topic_score_codex":0.0019889383,"about_ca_topic_score_gemma":0.003316016,"teacher_disagreement_score":0.21912016,"about_ca_system_score_codex":0.00007926236,"about_ca_system_score_gemma":0.0000014672733,"threshold_uncertainty_score":0.97063845},"labels":[],"label_agreement":null},{"id":"W1851264782","doi":"10.1029/2005wr004162","title":"Headwater stream temperature response to clear‐cut harvesting with different riparian treatments, coastal British Columbia, Canada","year":2006,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":134,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"STREAMS; Riparian zone; Environmental science; Hydrology (agriculture); Riparian buffer; Canopy; Drainage basin; Ecology; Geography; Geology; Biology","score_opus":0.009963820835032913,"score_gpt":0.22208728430955035,"score_spread":0.21212346347451744,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1851264782","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98710364,0.000007998165,9.2074333e-7,0.0026469121,0.00003921593,0.000632916,0.000050383078,0.000045022032,0.009472996],"genre_scores_gemma":[0.821012,0.0000027602605,0.000046196947,0.0002721357,0.000049779494,0.00013389488,0.000040964565,0.00002621761,0.17841603],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9967849,0.000462085,0.00021654394,0.00062133186,0.0008392316,0.0010758738],"domain_scores_gemma":[0.9993198,0.000108219996,0.000023426875,0.00032178272,0.000030312533,0.00019646481],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005743818,0.00017476043,0.00023115678,0.000056090597,0.001238019,0.00055160915,0.00035336363,0.000076661,0.0018508069],"category_scores_gemma":[0.000037607024,0.0001519747,0.000029308523,0.00023728631,0.00035779437,0.00012617336,0.0008233164,0.00033053907,0.00014491413],"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":[0.00062160386,0.00020893154,0.7802479,0.000015734575,0.000065359345,0.00067281997,0.000684191,0.0003167106,0.002176622,7.067687e-7,0.21456364,0.0004257439],"study_design_scores_gemma":[0.0006334042,0.0005264169,0.8184808,0.0000323483,0.0000118768685,0.000018309462,0.0005036372,0.000009431105,0.001012118,0.000023585033,0.17854199,0.00020610413],"about_ca_topic_score_codex":0.9621591,"about_ca_topic_score_gemma":0.9993743,"teacher_disagreement_score":0.16894303,"about_ca_system_score_codex":0.00044233375,"about_ca_system_score_gemma":0.000022339342,"threshold_uncertainty_score":0.99906164},"labels":[],"label_agreement":null},{"id":"W1852536134","doi":"10.1029/2010wr009716","title":"Estimates of future flow, including extremes, of the Columbia River headwaters","year":2011,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":91,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Impact; Pacific Institute for Climate Solutions","funders":"Ministry of Environment; BC Hydro","keywords":"Downscaling; Hydrograph; Streamflow; Environmental science; Climate change; Climatology; Glacier; Climate model; Elevation (ballistics); Meltwater; Flow (mathematics); Hydrology (agriculture); Drainage basin; Physical geography; Geology; Geography","score_opus":0.11596085458022463,"score_gpt":0.28108405148176285,"score_spread":0.1651231969015382,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1852536134","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9958206,0.00060286064,0.0000063412663,0.00023773972,0.00013251322,0.0001753723,0.000034182864,0.000009784489,0.0029806113],"genre_scores_gemma":[0.9976373,0.000070771464,0.00133258,0.000021111362,0.00007727821,0.0000021697906,0.00001071545,0.000004100315,0.0008440075],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986045,0.00012447835,0.00022240926,0.00017010901,0.00051111134,0.00036741808],"domain_scores_gemma":[0.99937177,0.000106125255,0.00004168961,0.00028116943,0.00014336915,0.00005585485],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005947588,0.00007441306,0.00016016004,0.000037914153,0.00041575846,0.000026925765,0.0004714913,0.00004858795,0.0029248316],"category_scores_gemma":[0.000042467993,0.000042767904,0.000069398164,0.00033124935,0.0005306832,0.00007108652,0.00015443482,0.00017086242,0.000028972858],"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":[0.000039597093,0.000021354663,0.9688509,0.00004771012,0.00003495973,0.0000024636788,0.020855423,0.00020178991,0.0003795653,0.000004856895,0.0017680811,0.007793297],"study_design_scores_gemma":[0.00014143843,0.00009201366,0.95838475,0.000035764668,0.000008611574,0.0000015609786,0.0025450592,0.001830307,0.0032537915,0.0005408669,0.03309397,0.000071838534],"about_ca_topic_score_codex":0.042807743,"about_ca_topic_score_gemma":0.012252734,"teacher_disagreement_score":0.031325888,"about_ca_system_score_codex":0.000004859862,"about_ca_system_score_gemma":0.000013369109,"threshold_uncertainty_score":0.9979866},"labels":[],"label_agreement":null},{"id":"W1854104345","doi":"10.1029/2001wr001210","title":"Interaction between deterministic trend and autoregressive process","year":2003,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Drought Analysis","field":"Environmental Science","cited_by":43,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Autoregressive model; Autocorrelation; Series (stratigraphy); Econometrics; Variance (accounting); Residual; Time series; Lag; Trend analysis; Statistics; Mathematics; STAR model; Process (computing); Stochastic process; Computer science; Autoregressive integrated moving average; Algorithm; Economics","score_opus":0.03971921542446244,"score_gpt":0.3479751884946733,"score_spread":0.30825597307021085,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1854104345","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9645379,0.00002573439,0.000016486625,0.00017102293,0.000014700326,0.000083367566,0.0000016678343,0.000017266893,0.035131823],"genre_scores_gemma":[0.99623275,0.0000050154827,0.00003176159,0.00002146919,0.000037301423,0.000023043067,0.000006382505,0.000009442169,0.0036328337],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99833566,0.00038476454,0.00014043707,0.0003365946,0.0003758474,0.0004266947],"domain_scores_gemma":[0.9995373,0.00012215806,0.000021959338,0.00017937263,0.000009121582,0.00013007919],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00076413824,0.00009381846,0.00013158648,0.000115558134,0.00035945183,0.00006808359,0.00016883583,0.00008497115,0.0022611788],"category_scores_gemma":[0.00008831737,0.00006114804,0.000028535836,0.00017061998,0.0004827699,0.00014496042,0.00012790307,0.0002984768,0.0006093422],"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":[0.000088540815,0.00009777156,0.9503174,0.00003871257,0.000081543614,0.00012602925,0.026798647,0.00042510874,0.004756878,0.000022836122,0.00072760234,0.01651894],"study_design_scores_gemma":[0.0015648975,0.0009197882,0.15185672,0.00007295378,0.00015592796,0.0001454756,0.0034680492,0.0055304198,0.105473064,0.0145083945,0.71533185,0.00097242417],"about_ca_topic_score_codex":0.00013093017,"about_ca_topic_score_gemma":0.00013324081,"teacher_disagreement_score":0.79846066,"about_ca_system_score_codex":0.000048723487,"about_ca_system_score_gemma":0.000002907672,"threshold_uncertainty_score":0.9986509},"labels":[],"label_agreement":null},{"id":"W1854912902","doi":"10.1002/wrcr.20517","title":"Urban water demand forecasting and uncertainty assessment using ensemble wavelet-bootstrap-neural network models","year":2013,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrological Forecasting Using AI","field":"Environmental Science","cited_by":205,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McGill University; Ste. Anne's Hospital","funders":"","keywords":"Autoregressive integrated moving average; Autoregressive model; Wavelet; Statistics; Bootstrap aggregating; Econometrics; Artificial neural network; Computer science; Bootstrap model; Ensemble forecasting; Bootstrapping (finance); Moving average; Time series; Mathematics; Artificial intelligence","score_opus":0.13176638131771926,"score_gpt":0.3268046037635469,"score_spread":0.19503822244582766,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1854912902","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9910813,0.000035537276,0.00032213086,0.00048725956,0.000051382296,0.0005658142,0.0000015470705,0.00007011319,0.0073849065],"genre_scores_gemma":[0.9952342,0.0000038046333,0.003054772,0.00013327051,0.0002001106,0.000050545277,0.000011266064,0.00004415286,0.0012679033],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9953168,0.00060172623,0.0003865699,0.0007524127,0.0010120841,0.0019304038],"domain_scores_gemma":[0.9989966,0.00016481182,0.000038936356,0.00038583056,0.00004921469,0.00036460205],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0023463604,0.00027567425,0.00029171538,0.00009263907,0.0010960212,0.00047268067,0.00037384673,0.00017039034,0.0014567408],"category_scores_gemma":[0.000033145192,0.00015690138,0.00006657315,0.00021796666,0.0007405108,0.00040545277,0.0014613782,0.00071629876,0.00023754426],"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":[0.000040695944,0.000058003043,0.013018983,0.00003248741,0.000024638079,0.0000696222,0.0036893154,0.90908784,0.067123875,0.00001354659,0.0017362393,0.005104727],"study_design_scores_gemma":[0.00029131738,0.00018755958,0.0012151095,0.000038214803,0.000008604135,0.00007089373,0.00006966567,0.9862015,0.002650169,0.005328197,0.003659325,0.0002794243],"about_ca_topic_score_codex":0.0031643969,"about_ca_topic_score_gemma":0.000058513822,"teacher_disagreement_score":0.07711366,"about_ca_system_score_codex":0.0002486584,"about_ca_system_score_gemma":0.000005879034,"threshold_uncertainty_score":0.99945605},"labels":[],"label_agreement":null},{"id":"W1854952045","doi":"10.1002/wrcr.20447","title":"Assessing the extent of altruism in the valuation of community drinking water quality improvements","year":2013,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Brock University; University of Alberta; University of Saskatchewan","funders":"","keywords":"Altruism (biology); Valuation (finance); Water quality; Natural resource economics; Environmental science; Contingent valuation; Quality (philosophy); Environmental economics; Economics; Actuarial science; Environmental planning; Microeconomics; Willingness to pay; Social psychology; Psychology; Ecology; Finance; Biology","score_opus":0.40608104666638645,"score_gpt":0.37729761378993504,"score_spread":0.02878343287645141,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1854952045","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9940589,0.00007744551,0.00007982182,0.0010832144,0.000033849425,0.0004656634,0.0000031479283,0.0000025094375,0.004195452],"genre_scores_gemma":[0.99951714,0.000020404266,0.000034865167,0.000085359534,0.000022998756,0.00008588904,0.000021292057,0.000009088404,0.00020293043],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99790853,0.0008099863,0.0006854659,0.00013734605,0.00016152392,0.00029716615],"domain_scores_gemma":[0.99909264,0.00021546935,0.0001372977,0.0005011472,0.000034048753,0.000019420322],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.013867738,0.00007356649,0.00018842767,0.00015059783,0.00026428967,0.00011875296,0.000524936,0.000051992625,0.0004380181],"category_scores_gemma":[0.000064600456,0.00003902676,0.000057591336,0.00008209335,0.00021967595,0.00029274684,0.0002755009,0.00037092488,0.00019978457],"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":[0.000013384295,0.000409573,0.84228754,0.00011477702,0.000052458545,1.8856052e-7,0.115564734,0.0006910146,0.030008722,0.0027611114,0.000081489736,0.008015013],"study_design_scores_gemma":[0.00031614662,0.000058960562,0.93378663,0.000013232084,0.000001697999,2.73116e-7,0.008683627,0.0010983753,0.014412732,0.040867932,0.000695539,0.0000648817],"about_ca_topic_score_codex":0.011846115,"about_ca_topic_score_gemma":0.000076872675,"teacher_disagreement_score":0.106881104,"about_ca_system_score_codex":0.000104761035,"about_ca_system_score_gemma":0.0000032451655,"threshold_uncertainty_score":0.9947341},"labels":[],"label_agreement":null},{"id":"W1856700257","doi":"10.1029/2008wr007521","title":"Length scale of braided river morphology","year":2009,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Sediment Transport Processes","field":"Environmental Science","cited_by":101,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Confluence; Sinuosity; Bifurcation; Scaling; Bar (unit); Scale (ratio); Geometry; Channel (broadcasting); Geology; Point bar; Length scale; Morphology (biology); Hydrology (agriculture); Mathematics; Geomorphology; Mechanics; Geotechnical engineering; Fluvial; Physics; Geography; Cartography; Engineering; Computer science; Nonlinear system","score_opus":0.026496850500707988,"score_gpt":0.29306976284100683,"score_spread":0.26657291234029884,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1856700257","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9661754,0.00004408794,0.000030020312,0.0013671262,0.000015120476,0.00012935046,0.0000020088414,0.000023446342,0.03221344],"genre_scores_gemma":[0.99639094,0.000021428907,0.00015245801,0.0001992712,0.000025256557,0.0000062199633,0.000007154628,0.000006537324,0.0031907521],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9983493,0.0001575499,0.00018443013,0.00029625747,0.0004907092,0.00052172114],"domain_scores_gemma":[0.9995751,0.00004485435,0.000017305907,0.00025084673,0.000017436867,0.00009448238],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0008039465,0.00008667908,0.00015040023,0.000092717324,0.00015879366,0.000009174019,0.00042548066,0.00010934619,0.006342971],"category_scores_gemma":[0.000014217029,0.000058516645,0.000040763218,0.0002044566,0.0009312627,0.00011613802,0.00014617862,0.00027671654,0.0010919046],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006497261,0.0007953251,0.25037664,0.00004755738,0.0000384663,0.00018516326,0.034553524,0.0027109424,0.67656964,0.00009021583,0.0054528224,0.02852997],"study_design_scores_gemma":[0.0011064889,0.0012182783,0.22339971,0.000019254387,0.00001476026,0.000030178704,0.00020572863,0.00035506813,0.60135686,0.0112843225,0.16069779,0.00031152647],"about_ca_topic_score_codex":0.00024577216,"about_ca_topic_score_gemma":0.000032509997,"teacher_disagreement_score":0.15524496,"about_ca_system_score_codex":0.000023606353,"about_ca_system_score_gemma":0.0000036159483,"threshold_uncertainty_score":0.9996859},"labels":[],"label_agreement":null},{"id":"W1857180750","doi":"10.1029/2009wr007984","title":"Moisture cycles of the forest floor organic layer (F and H layers) during drying","year":2010,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":39,"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 Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Moisture; Water content; Environmental science; Forest floor; Atmospheric sciences; Diurnal cycle; Flux (metallurgy); Dew; Precipitation; Boundary layer; Atmosphere (unit); Energy budget; Sensible heat; Hydrology (agriculture); Soil science; Soil water; Geology; Condensation; Chemistry; Meteorology","score_opus":0.01351819561122609,"score_gpt":0.2457229848196726,"score_spread":0.23220478920844653,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1857180750","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9964984,0.00001487592,0.0000019985325,0.00034787838,0.000037017242,0.00015284543,0.0000056107247,0.000012979721,0.0029283718],"genre_scores_gemma":[0.9969955,0.000009952301,0.00005896562,0.000010598837,0.000027791404,0.000007952247,0.0000024256349,0.00001363631,0.002873185],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9987621,0.00007684365,0.00013091651,0.0002123502,0.00047515516,0.0003426457],"domain_scores_gemma":[0.99955136,0.00002845662,0.000021568505,0.0003130491,0.0000129035425,0.000072676434],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046871373,0.0000839189,0.000086519234,0.000053764303,0.0003495403,0.000064848486,0.00037841793,0.00008606987,0.00048897625],"category_scores_gemma":[0.000028356888,0.00004458779,0.00003249322,0.00017395515,0.0003806421,0.00008562827,0.00077096745,0.0005092811,0.00007286544],"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":[0.000010898486,0.000014079282,0.3033118,0.000010796312,0.0000054719503,0.000004844648,0.0019505776,0.0006077023,0.6938789,0.000009180386,0.000016479917,0.00017927992],"study_design_scores_gemma":[0.00036471925,0.00002640824,0.77887315,0.00002641053,0.000008805156,0.000046588673,0.00022381256,0.0044199824,0.20524642,0.00080403377,0.00978953,0.00017015336],"about_ca_topic_score_codex":0.0005921257,"about_ca_topic_score_gemma":0.001979037,"teacher_disagreement_score":0.4886325,"about_ca_system_score_codex":0.000025834874,"about_ca_system_score_gemma":0.0000031718469,"threshold_uncertainty_score":0.5353947},"labels":[],"label_agreement":null},{"id":"W1857243994","doi":"10.1029/2008wr007615","title":"Assessing the impact of climate change on water resources in Iran","year":2009,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":613,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Environmental science; Climate change; Precipitation; Water resources; Soil and Water Assessment Tool; Climate model; Water cycle; Hydrology (agriculture); Water resource management; Resource (disambiguation); Representative Concentration Pathways; Climatology; Geography; Drainage basin; Streamflow; Meteorology; Ecology","score_opus":0.09033400501572207,"score_gpt":0.3815743830267532,"score_spread":0.29124037801103114,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1857243994","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.952237,0.00003364278,5.7479275e-7,0.004185257,0.00001764474,0.00038019428,0.0000015966988,0.000021219403,0.043122854],"genre_scores_gemma":[0.99911547,0.00008552037,0.000007960135,0.000211913,0.00006764264,0.00003775654,0.000004241064,0.000012559805,0.00045694155],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9970347,0.0006119296,0.00025973283,0.000380749,0.00062353176,0.0010893398],"domain_scores_gemma":[0.9993903,0.00009017389,0.000028099974,0.00041817458,0.000008694248,0.000064578555],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028198827,0.00017276258,0.00022001707,0.00023488981,0.0004961715,0.00011198435,0.00058275374,0.000082345425,0.000698276],"category_scores_gemma":[0.00002243594,0.000072299124,0.000093141,0.00026049724,0.000574942,0.00026764156,0.0006557998,0.00044244423,0.000626027],"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":[0.0006807121,0.00068853295,0.74835175,0.000049823728,0.00008307812,0.00017774719,0.17731813,0.0062982696,0.037601367,0.000029407645,0.0013522309,0.02736895],"study_design_scores_gemma":[0.0006059043,0.0009129569,0.96751887,0.00007027694,0.000007995869,0.0000032049343,0.0013612633,0.0006855954,0.012818344,0.0016216865,0.014169898,0.00022402601],"about_ca_topic_score_codex":0.0015458091,"about_ca_topic_score_gemma":0.00007896436,"teacher_disagreement_score":0.21916708,"about_ca_system_score_codex":0.00011937248,"about_ca_system_score_gemma":6.369383e-7,"threshold_uncertainty_score":0.804652},"labels":[],"label_agreement":null},{"id":"W1857393746","doi":"10.1029/2012wr012216","title":"Transient hydraulic tomography in a fractured dolostone: Laboratory rock block experiments","year":2012,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Groundwater flow and contamination studies","field":"Environmental Science","cited_by":68,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Stantec (Canada); University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; Strategic Environmental Research and Development Program","keywords":"Hydraulic conductivity; Tomography; Geology; Block (permutation group theory); Fracture (geology); Transient (computer programming); Slug test; Dolostone; Geotechnical engineering; Flow (mathematics); Soil science; Geometry; Mathematics; Computer science; Carbonate rock; Physics; Optics","score_opus":0.02994176288389186,"score_gpt":0.3038107635350583,"score_spread":0.2738690006511665,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1857393746","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99526435,0.0006967682,0.000049795246,0.00044524224,0.00007409417,0.00032245513,0.000003599084,0.00003320651,0.0031104854],"genre_scores_gemma":[0.9967796,0.00001540129,0.000042186723,0.00019598093,0.00005986064,0.0001738211,0.000005761285,0.000019729958,0.0027076376],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9970786,0.00036075112,0.00023686003,0.00034366117,0.0009718556,0.001008257],"domain_scores_gemma":[0.99942917,0.000031636737,0.000018593335,0.0002968113,0.00002501319,0.00019875074],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0010384389,0.00016587127,0.00017599847,0.0002584148,0.00027303913,0.000065920205,0.00034061435,0.00008977014,0.00090222695],"category_scores_gemma":[0.000013177118,0.00011439732,0.000057031546,0.0005651166,0.00017275434,0.00030261112,0.00035074182,0.00033340967,0.0014543256],"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":[0.00018005566,0.00091969525,0.57082886,0.000029744835,0.000056625806,0.000039601455,0.22807664,0.00021372245,0.18758696,0.0000064194874,0.0050433897,0.0070183063],"study_design_scores_gemma":[0.000502231,0.00007880049,0.17594492,0.000011411613,0.0000034852785,0.0000022605964,0.0019250457,0.00003955332,0.0994894,0.000013106713,0.72179776,0.00019199438],"about_ca_topic_score_codex":0.0005297563,"about_ca_topic_score_gemma":0.00011079664,"teacher_disagreement_score":0.7167544,"about_ca_system_score_codex":0.00016607442,"about_ca_system_score_gemma":0.0000029832308,"threshold_uncertainty_score":0.9993231},"labels":[],"label_agreement":null},{"id":"W1860097106","doi":"10.1029/2007wr006322","title":"Modeling all exceedances above a threshold using an extremal dependence structure: Inferences on several flood characteristics","year":2009,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Drought Analysis","field":"Environmental Science","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":"Institut National de la Recherche Scientifique","funders":"","keywords":"Quantile; Flood myth; Duration (music); Inference; Maxima; Estimation; Hydrological modelling","score_opus":0.08371229864377022,"score_gpt":0.3387396817725789,"score_spread":0.2550273831288087,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1860097106","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99715567,0.00003294591,0.000345854,0.0002931454,0.000037312067,0.00014878367,0.000008923622,0.000040331233,0.0019370517],"genre_scores_gemma":[0.9986854,0.000019636165,0.00048413177,0.0002835893,0.00018840644,0.0000043533078,0.000022127198,0.000014424953,0.00029792075],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9965852,0.00032465628,0.00030982375,0.000681683,0.0011589556,0.0009397127],"domain_scores_gemma":[0.99920017,0.000037543217,0.000037289414,0.0004599976,0.00003355035,0.00023146384],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009532919,0.00022921126,0.00026960354,0.00017527884,0.00055305264,0.00022935293,0.00076136854,0.00019372017,0.0016932184],"category_scores_gemma":[0.000036184432,0.00015619528,0.00007081694,0.00029379647,0.0003053359,0.0004889992,0.00025490246,0.0006877025,0.00020631638],"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":[0.00070677034,0.000527994,0.089274436,0.000019186886,0.00010135359,0.00029071167,0.020855032,0.7231721,0.15706567,0.00010346435,0.000057705984,0.007825531],"study_design_scores_gemma":[0.00026831872,0.0004652905,0.008678378,0.000024147092,0.000027610278,0.000023336836,0.00021671821,0.9768579,0.006987086,0.0054310546,0.0006724587,0.00034772637],"about_ca_topic_score_codex":0.0011697849,"about_ca_topic_score_gemma":0.0006568018,"teacher_disagreement_score":0.25368574,"about_ca_system_score_codex":0.000106999454,"about_ca_system_score_gemma":0.000011614009,"threshold_uncertainty_score":0.99921936},"labels":[],"label_agreement":null},{"id":"W1861281508","doi":"10.1029/2006wr004867","title":"Conceptualizing lateral preferential flow and flow networks and simulating the effects on gauged and ungauged hillslopes","year":2007,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":242,"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 British Columbia","funders":"","keywords":"Flow (mathematics); Surface runoff; Watershed; Geology; Hydrograph; Hydrology (agriculture); Environmental science; Computer science; Mechanics; Geotechnical engineering; Physics; Ecology","score_opus":0.022619627212212057,"score_gpt":0.2837458962436439,"score_spread":0.2611262690314318,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1861281508","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.996828,0.00023353791,0.00007989777,0.000590953,0.000050277922,0.0003935593,8.741406e-7,0.00002633824,0.001796543],"genre_scores_gemma":[0.9989084,0.00009651543,0.0000727275,0.00024508813,0.00011432388,0.0000147667,0.0000045987726,0.000014064955,0.0005295175],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9980307,0.000415093,0.00015469371,0.00040616235,0.0003233817,0.0006699207],"domain_scores_gemma":[0.9990892,0.00061754463,0.000019220663,0.00016396046,0.0000081767,0.000101933445],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001988051,0.00015528068,0.00015625934,0.00006362327,0.0010811707,0.00013358769,0.0001473332,0.0000849423,0.0000986894],"category_scores_gemma":[0.000067328,0.000085003114,0.000017763563,0.00009381521,0.000879309,0.00008491281,0.0009932712,0.0003978211,0.00002020172],"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":[0.0019243928,0.00012104278,0.66682965,0.00031479023,0.00042202673,0.00022364508,0.12155802,0.041454177,0.018865304,0.00015944713,0.0030378914,0.14508961],"study_design_scores_gemma":[0.006158711,0.0022198537,0.61482316,0.00035940378,0.00012586608,0.000029956373,0.0040422212,0.28472644,0.02412561,0.0030703098,0.05904111,0.0012773519],"about_ca_topic_score_codex":0.00017772241,"about_ca_topic_score_gemma":0.00011412941,"teacher_disagreement_score":0.24327227,"about_ca_system_score_codex":0.000025524114,"about_ca_system_score_gemma":5.5313853e-7,"threshold_uncertainty_score":0.83156},"labels":[],"label_agreement":null},{"id":"W1862860202","doi":"10.1029/2006wr004985","title":"Observations of event‐based streambed deformation in a gravel bed channel","year":2006,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Sediment Transport Processes","field":"Environmental Science","cited_by":16,"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":"Geology; Bed load; Bedform; Sediment; Geotechnical engineering; Deformation (meteorology); Flood myth; Channel (broadcasting); River bed; Flow (mathematics); Sediment transport; Hydrology (agriculture); Magnitude (astronomy); Geomorphology; Geometry; Geography; Oceanography","score_opus":0.043458230468734,"score_gpt":0.28771653402803754,"score_spread":0.24425830355930356,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1862860202","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99706525,0.000017847515,0.00013982864,0.00049397664,0.000009401469,0.00021636947,0.0000066521407,0.000015175748,0.0020354888],"genre_scores_gemma":[0.9992733,0.0000027260267,0.00007682845,0.000030410609,0.000012972489,0.000050390907,0.00009390877,0.0000071400605,0.00045233403],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99855417,0.00012146385,0.0002715038,0.00018253844,0.00049270334,0.00037761024],"domain_scores_gemma":[0.9997102,0.000047245267,0.000027191425,0.0001574452,0.000019116475,0.00003878262],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00081190537,0.000075746655,0.00010740316,0.00016917445,0.00011962279,0.000012174977,0.00023036015,0.00007738352,0.00066209555],"category_scores_gemma":[0.000012198693,0.00005521695,0.000030619118,0.0003992026,0.0002392706,0.00016340907,0.00005641484,0.00017532811,0.00010358692],"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":[0.00022477361,0.00066178176,0.75555146,0.00010815291,0.000009035658,0.000018860941,0.006848216,0.13159135,0.10421636,0.0000652043,0.00030456934,0.00040023896],"study_design_scores_gemma":[0.001389133,0.00021909825,0.70878756,0.000051900908,0.0000073152787,0.0000016126676,0.000307568,0.036541674,0.2406021,0.0038099745,0.008068988,0.00021303991],"about_ca_topic_score_codex":0.0040213005,"about_ca_topic_score_gemma":0.0021252178,"teacher_disagreement_score":0.13638575,"about_ca_system_score_codex":0.000055101456,"about_ca_system_score_gemma":0.0000075603543,"threshold_uncertainty_score":0.72494817},"labels":[],"label_agreement":null},{"id":"W1869582904","doi":"10.1002/2016wr019187","title":"Representative point‐integrated suspended sediment sampling in rivers","year":2017,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Sediment Transport Processes","field":"Environmental Science","cited_by":31,"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; Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Sediment; Sampling (signal processing); Environmental science; Sample size determination; Hydrology (agriculture); Bottle; Range (aeronautics); Grain size; Soil science; Statistics; Geology; Mathematics; Geography; Geotechnical engineering; Geomorphology","score_opus":0.07211288148654632,"score_gpt":0.3585770599092517,"score_spread":0.2864641784227054,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1869582904","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.952801,0.000022538927,0.000034017543,0.0017928793,0.000047810496,0.00031490024,0.0000043281893,0.000029455838,0.04495308],"genre_scores_gemma":[0.9953779,0.000028722416,0.00023289328,0.00006190064,0.000030793304,0.0000438407,0.000019505736,0.00001558544,0.0041888347],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9973775,0.00025092036,0.00024215158,0.00058610796,0.00072383427,0.0008194795],"domain_scores_gemma":[0.99907047,0.000094389456,0.00004333185,0.0006174771,0.000025239819,0.0001491035],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0018657057,0.00015096189,0.00018895954,0.00014577716,0.0009039412,0.00015321343,0.0009790307,0.00011712223,0.010539349],"category_scores_gemma":[0.00010672805,0.000105548745,0.00004643977,0.00013773519,0.0011194635,0.0004205807,0.0005127331,0.000609373,0.0013542755],"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":[0.00070804864,0.000300427,0.9235563,0.000029941526,0.00005233261,0.0005242953,0.031959236,0.0027482808,0.03474352,0.00006282461,0.0016971113,0.003617645],"study_design_scores_gemma":[0.0043175835,0.0006045927,0.40999278,0.00015171967,0.000023328917,0.000022883412,0.004964781,0.0024008374,0.3167502,0.014993336,0.24486582,0.00091212575],"about_ca_topic_score_codex":0.0057995967,"about_ca_topic_score_gemma":0.0014427302,"teacher_disagreement_score":0.5135636,"about_ca_system_score_codex":0.00016431481,"about_ca_system_score_gemma":0.000010222303,"threshold_uncertainty_score":0.99942327},"labels":[],"label_agreement":null},{"id":"W1870963329","doi":"10.1029/2004wr003232","title":"Effective properties of two‐phase flow in heterogeneous aquifers","year":2005,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Groundwater flow and contamination studies","field":"Environmental Science","cited_by":8,"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 Science Foundation","keywords":"Relative permeability; Capillary pressure; Anisotropy; Saturation (graph theory); Aquifer; Permeability (electromagnetism); Capillary action; Scaling; Wetting; Mechanics; Two-phase flow; Flow coefficient; Materials science; Flow (mathematics); Geology; Geotechnical engineering; Soil science; Chemistry; Porous medium; Mathematics; Groundwater; Geometry; Physics; Porosity; Optics","score_opus":0.03607754705201489,"score_gpt":0.3123487500201622,"score_spread":0.27627120296814733,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1870963329","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9975199,0.00016397149,0.000058240123,0.000341185,0.00001699486,0.00041718685,0.000002109536,0.000015579546,0.0014648252],"genre_scores_gemma":[0.9962775,0.000008390107,0.00008064458,0.00003277806,0.00004245825,0.00014358561,0.0000019033089,0.0000122120255,0.0034005342],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.998026,0.00033436462,0.00021917521,0.00028876317,0.0006419851,0.0004896849],"domain_scores_gemma":[0.9996436,0.00003769639,0.000016797889,0.00020909551,0.000028408127,0.00006440369],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008988303,0.00010922078,0.00016927543,0.00015509271,0.00014167665,0.000039046983,0.00027353805,0.000037190737,0.0004560378],"category_scores_gemma":[0.000024006154,0.00006853525,0.00004366484,0.00020952312,0.00044045917,0.00014744399,0.00046220998,0.00018217965,0.0006173533],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004314732,0.00061931054,0.033287514,0.00005480298,0.00004373299,0.000042783682,0.058631938,0.010686834,0.5713957,0.0000042060833,0.00024081535,0.3245609],"study_design_scores_gemma":[0.002220592,0.00039037486,0.005337084,0.000047100486,0.0000048857937,0.000008608687,0.0007020298,0.008708942,0.90510535,0.00004065442,0.07723518,0.00019916732],"about_ca_topic_score_codex":0.0009864352,"about_ca_topic_score_gemma":0.0009163542,"teacher_disagreement_score":0.3337097,"about_ca_system_score_codex":0.00018678674,"about_ca_system_score_gemma":0.0000026074051,"threshold_uncertainty_score":0.79350334},"labels":[],"label_agreement":null},{"id":"W1874708432","doi":"10.1029/2008wr007558","title":"Heterogeneity in hydraulic conductivity and its role on the macroscale transport of a solute plume: From measurements to a practical application of stochastic flow and transport theory","year":2010,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Groundwater flow and contamination studies","field":"Environmental Science","cited_by":104,"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; University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Hydraulic conductivity; Piezometer; Plume; Permeameter; Geology; Aquifer; Soil science; Variogram; Borehole; Spatial variability; Hydrology (agriculture); Anisotropy; Kriging; Geomorphology; Geotechnical engineering; Groundwater; Mathematics; Soil water; Meteorology; Physics","score_opus":0.0534529847436445,"score_gpt":0.31453736150875405,"score_spread":0.26108437676510954,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1874708432","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99701756,0.000020486135,0.0016271197,0.00062635384,0.00001016899,0.000537453,0.000022957282,0.0000048042393,0.00013307856],"genre_scores_gemma":[0.9996648,0.0000018676984,0.00006812426,0.000029834802,0.000010116328,0.000115535586,0.000003909276,0.000007907499,0.00009792715],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99842614,0.00021127622,0.00019579493,0.0003113655,0.0006104336,0.00024499898],"domain_scores_gemma":[0.9995004,0.00016051413,0.000027190914,0.00020514219,0.00003019619,0.00007656183],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017483934,0.00009429549,0.00016315636,0.000059946655,0.00012192974,0.000011047624,0.00015211584,0.00005370199,0.0000721576],"category_scores_gemma":[0.000043269254,0.00005816283,0.000022664413,0.00012213145,0.00037115172,0.000091672526,0.0001047731,0.00025417627,0.000015285805],"study_design_candidate":"bench_or_experimental","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":[0.0003657146,0.00019877497,0.118510894,0.000017244536,0.000022213788,0.0000018904285,0.01464674,0.00013643298,0.8590806,0.00003299283,0.0000034043906,0.006983104],"study_design_scores_gemma":[0.00054565154,0.00017066958,0.72892374,0.000019554995,0.000015984904,0.0000024128876,0.0006231249,0.0021785605,0.26579052,0.00061543885,0.0009926922,0.00012165568],"about_ca_topic_score_codex":0.0012866579,"about_ca_topic_score_gemma":0.0036284456,"teacher_disagreement_score":0.61041284,"about_ca_system_score_codex":0.000022486309,"about_ca_system_score_gemma":0.0000043357995,"threshold_uncertainty_score":0.23718114},"labels":[],"label_agreement":null},{"id":"W1874995852","doi":"10.1029/2010wr009750","title":"Deriving meteorological variables from numerical weather prediction model output: A nearest neighbor approach","year":2011,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Climate variability and models","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":true,"ca_institutions":"McMaster University","funders":"","keywords":"Downscaling; Quantitative precipitation forecast; Model output statistics; k-nearest neighbors algorithm; Precipitation; Numerical weather prediction; Meteorology; Forecast skill; Brier score; Closeness; Reliability (semiconductor); Computer science; Environmental science; Statistics; Mathematics; Machine learning; Geography","score_opus":0.11813051307917237,"score_gpt":0.2823861022055428,"score_spread":0.1642555891263704,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1874995852","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9188863,0.00002233835,0.020901443,0.00012630313,0.000030860363,0.00036558497,0.000041746058,0.00010548531,0.059519935],"genre_scores_gemma":[0.98533547,0.000012124151,0.012917447,0.000075837626,0.00008162712,0.0001293247,0.000036570684,0.000032212953,0.0013793574],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99655074,0.00053945143,0.0003107128,0.00080610043,0.00089066254,0.0009023241],"domain_scores_gemma":[0.99895805,0.00013802768,0.000028060622,0.0005857206,0.000024467654,0.00026569603],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0017287298,0.00019736993,0.00023861263,0.00007783162,0.00041301735,0.00011827948,0.0006564559,0.00023862599,0.0052784453],"category_scores_gemma":[0.00010339928,0.00012785563,0.00008719977,0.00022374003,0.000514516,0.00026922263,0.001154195,0.0005674514,0.00069295237],"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":[0.0023872466,0.005665944,0.36172745,0.00013149223,0.0003046753,0.0001027191,0.19163904,0.292042,0.13023019,0.0012613367,0.004063353,0.01044458],"study_design_scores_gemma":[0.00037464718,0.00019188081,0.013355629,0.000011780299,0.000019391016,0.0000057198076,0.00039192103,0.9637654,0.0019970501,0.011701964,0.007939737,0.00024488714],"about_ca_topic_score_codex":0.0048137833,"about_ca_topic_score_gemma":0.000029698924,"teacher_disagreement_score":0.6717234,"about_ca_system_score_codex":0.00015841502,"about_ca_system_score_gemma":0.000008541891,"threshold_uncertainty_score":0.99563086},"labels":[],"label_agreement":null},{"id":"W1879184451","doi":"10.1029/2012wr012449","title":"A paradigm shift in understanding and quantifying the effects of forest harvesting on floods in snow environments","year":2012,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":62,"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 British Columbia","funders":"","keywords":"Snowmelt; Environmental science; Hydrology (agriculture); Snow; Flood myth; Surface runoff; Climate change; Elevation (ballistics); Basal area; Physical geography; Ecology; Geography; Geology; Meteorology","score_opus":0.08956590872799451,"score_gpt":0.3159846030717482,"score_spread":0.22641869434375367,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1879184451","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9968071,0.000111433605,0.000040048417,0.0009656959,0.00002834707,0.00034687904,2.5432905e-7,0.000004602793,0.0016956327],"genre_scores_gemma":[0.99967974,0.000060481987,0.000009492839,0.000042932228,0.00001554329,0.000042533768,9.219478e-7,0.00000946696,0.00013885608],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9981592,0.0004380245,0.00016523976,0.00021899691,0.00035460302,0.0006638909],"domain_scores_gemma":[0.9992058,0.0005471064,0.000022005004,0.00017353799,2.9708832e-7,0.000051215015],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002109186,0.00010150358,0.00013548358,0.00015549274,0.00024073297,0.00002316326,0.00020069386,0.00005062881,0.000031058506],"category_scores_gemma":[0.00008758169,0.000059382946,0.000017223403,0.0001705086,0.00057424797,0.00016012936,0.00060056185,0.00030623877,0.000058376678],"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":[0.00004899308,0.00008336359,0.97088885,0.00005220001,0.000010850236,0.0000138918085,0.026536293,0.00080767536,0.00080440025,0.00050704216,0.000015814952,0.00023064966],"study_design_scores_gemma":[0.00059967506,0.00015567795,0.98733187,0.00013408357,0.0000051844286,0.0000010518521,0.0009784249,0.0003514495,0.0023377154,0.0057124617,0.0022810511,0.00011135533],"about_ca_topic_score_codex":0.0007667303,"about_ca_topic_score_gemma":0.0008259846,"teacher_disagreement_score":0.025557868,"about_ca_system_score_codex":0.00013368504,"about_ca_system_score_gemma":6.0138245e-7,"threshold_uncertainty_score":0.24215662},"labels":[],"label_agreement":null},{"id":"W1879306070","doi":"10.1029/2010wr009228","title":"Spatial and temporal variation of in‐reach suspended sediment dynamics along the mainstem of Changjiang (Yangtze River), China","year":2010,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Sediment Transport Processes","field":"Environmental Science","cited_by":44,"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 British Columbia","funders":"","keywords":"Sediment; Sedimentary budget; Hydrology (agriculture); Structural basin; Environmental science; Drainage basin; Yangtze river; China; Sediment transport; Period (music); Geology; Geography; Geomorphology","score_opus":0.01378742902974022,"score_gpt":0.2563700666262202,"score_spread":0.24258263759647997,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1879306070","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9971144,0.000018797164,0.000052193107,0.00066551956,0.0000367142,0.00029576026,0.0000073542355,0.0000067539863,0.0018024584],"genre_scores_gemma":[0.9996329,0.000011448938,0.00009108309,0.000010985742,0.000025631693,0.000016221667,0.000021917996,0.000008366332,0.00018144754],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99849284,0.00017029213,0.00024525725,0.00023175731,0.0005334985,0.00032636925],"domain_scores_gemma":[0.9995995,0.0000663324,0.00004792446,0.00021680635,0.00001558749,0.00005386204],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018369133,0.00008978792,0.00014651947,0.00010469023,0.00014434652,0.000012887326,0.00030930663,0.00010804115,0.00075745594],"category_scores_gemma":[0.000019379859,0.000054148284,0.000024953393,0.00018195657,0.000814779,0.00010694284,0.00019894395,0.0004009424,0.0000136310355],"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":[0.0001368532,0.00012445656,0.94445,0.000055664557,0.000014731426,0.000011894401,0.027812952,0.00014261987,0.024545353,0.00011107002,0.000008096612,0.0025862867],"study_design_scores_gemma":[0.0005303576,0.00016669938,0.96926963,0.000017613216,0.000007777995,0.0000051445745,0.00038641156,0.0063395887,0.021409841,0.0009018089,0.0008750679,0.00009008498],"about_ca_topic_score_codex":0.012923071,"about_ca_topic_score_gemma":0.013573322,"teacher_disagreement_score":0.02742654,"about_ca_system_score_codex":0.000034899,"about_ca_system_score_gemma":0.000008026534,"threshold_uncertainty_score":0.99364996},"labels":[],"label_agreement":null},{"id":"W1884874776","doi":"10.1029/2003wr002828","title":"Fuzzy criteria for the evaluation of water resource systems performance","year":2004,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Water resources management and optimization","field":"Engineering","cited_by":57,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada; Institute for Catastrophic Loss Reduction","keywords":"Fuzzy logic; Robustness (evolution); Sustainability; Reliability (semiconductor); Computer science; Vulnerability (computing); Fuzzy set; Index (typography); Water resources; Reliability engineering; Resource (disambiguation); Risk analysis (engineering); Environmental resource management; Operations research; Engineering; Environmental science; Business; Artificial intelligence","score_opus":0.09229382273695184,"score_gpt":0.32964504346422235,"score_spread":0.2373512207272705,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1884874776","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9854449,0.00063016725,0.0011218092,0.00035706855,0.00019613333,0.0017096619,0.000007189441,0.0001239064,0.010409176],"genre_scores_gemma":[0.99785113,0.000049603867,0.00009869733,0.000008993956,0.0002918158,0.00044901777,0.00007322874,0.000061046216,0.0011164543],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9972309,0.00020663305,0.0003776266,0.00025166472,0.0012313655,0.0007018503],"domain_scores_gemma":[0.99893785,0.00007154979,0.000021650503,0.00051131047,0.00039564987,0.000062005034],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004861037,0.00017461652,0.00019063901,0.0003335249,0.00035877526,0.00023768054,0.00055664295,0.00009365291,0.000059787548],"category_scores_gemma":[0.000029298686,0.0000909847,0.0000732889,0.00021144316,0.0001491642,0.00018536895,0.00016858334,0.00021960936,0.000083128674],"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":[0.00007428147,0.000021635928,0.00006210746,0.00042249577,0.000074216085,6.1401937e-7,0.008571047,0.97941786,0.008381626,0.000055509277,0.00085491344,0.0020637042],"study_design_scores_gemma":[0.0019699945,0.0002115318,0.0005700091,0.0001662235,0.00009885541,0.000004463326,0.0013850182,0.6488457,0.112647444,0.0005780616,0.23321418,0.00030854656],"about_ca_topic_score_codex":0.00007162368,"about_ca_topic_score_gemma":0.0000064988662,"teacher_disagreement_score":0.3305722,"about_ca_system_score_codex":0.00015322062,"about_ca_system_score_gemma":0.000006968604,"threshold_uncertainty_score":0.37102485},"labels":[],"label_agreement":null},{"id":"W1886827333","doi":"10.1029/2005wr004397","title":"A parametric Bayesian combination of local and regional information in flood frequency analysis","year":2006,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Drought Analysis","field":"Environmental Science","cited_by":63,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hydro-Québec; Institut National de la Recherche Scientifique","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Quantile; Estimator; Bayesian probability; Statistics; Mathematics; Econometrics; Computer science","score_opus":0.012892180179756334,"score_gpt":0.26204402959272716,"score_spread":0.24915184941297083,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1886827333","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.993766,0.0000382136,0.0018171046,0.00037602836,0.0000025764964,0.00008486458,0.0000015083676,0.0000086113205,0.0039050651],"genre_scores_gemma":[0.9996235,0.0000083241575,0.00015463118,0.00001860225,0.0000049096725,0.00001174761,0.00004081307,0.0000030752406,0.00013439977],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99852693,0.00024700802,0.000267354,0.00015847282,0.0005352029,0.00026500202],"domain_scores_gemma":[0.9996749,0.00007392689,0.000034726127,0.00015217712,0.00002196663,0.000042307707],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011154655,0.00006205533,0.00014853702,0.0009616907,0.00009707372,0.000027222168,0.00014826564,0.000088296816,0.00038585084],"category_scores_gemma":[0.000021892252,0.00004594788,0.000047333637,0.0021573096,0.0004336665,0.0002893117,0.000111846966,0.00017067778,0.00009151324],"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":[0.000038982736,0.00012598754,0.97448987,0.000011871027,0.000048370253,0.0000060728885,0.0016905976,0.020511767,0.0004980779,0.00018481923,0.00012856675,0.002265022],"study_design_scores_gemma":[0.0006112205,0.00012825216,0.8706835,0.000005331786,0.0000604333,0.0000031182476,0.00034723553,0.11308771,0.0024300187,0.010185483,0.0023271337,0.00013057579],"about_ca_topic_score_codex":0.0140628265,"about_ca_topic_score_gemma":0.002460418,"teacher_disagreement_score":0.103806384,"about_ca_system_score_codex":0.00007395894,"about_ca_system_score_gemma":0.0000031735472,"threshold_uncertainty_score":0.9925026},"labels":[],"label_agreement":null},{"id":"W1888819694","doi":"10.1029/2003wr002473","title":"Landscape controls on nitrate removal in stream riparian zones","year":2004,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Soil and Water Nutrient Dynamics","field":"Environmental Science","cited_by":248,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"York University","funders":"","keywords":"Riparian zone; Nitrate; Loam; Hydrology (agriculture); Water table; Groundwater; Environmental science; Riparian forest; Outwash plain; Soil water; Cobble; Hydrogeology; Geology; Glacial period; Soil science; Ecology; Geomorphology; Geotechnical engineering","score_opus":0.0256227212249627,"score_gpt":0.28229759737984195,"score_spread":0.2566748761548793,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1888819694","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96107084,0.00002061674,0.0000059459708,0.0012947428,0.00004587926,0.0002767269,0.00000609002,0.00003924664,0.037239887],"genre_scores_gemma":[0.99755335,0.000020455369,0.000096825504,0.00010687227,0.00007797878,0.000037736267,0.000018885772,0.000022360062,0.0020655214],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99738955,0.00021198356,0.00022786084,0.0004522261,0.0008443866,0.000874012],"domain_scores_gemma":[0.9993819,0.00005940575,0.00001831517,0.00036181923,0.000012981314,0.00016559797],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00097309996,0.00015567914,0.00017614683,0.00019997236,0.00020089051,0.00012678962,0.0004539854,0.0001044868,0.0002554805],"category_scores_gemma":[0.000031620497,0.00010068726,0.000050189643,0.00034642822,0.00027122314,0.00013048571,0.0002887299,0.0004529908,0.0024531551],"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":[0.0010976312,0.0009014255,0.9475261,0.000024997958,0.000025274836,0.0010868135,0.011117396,0.0264711,0.0049077463,0.000335877,0.000611334,0.0058943247],"study_design_scores_gemma":[0.02348336,0.0035663946,0.41943023,0.0004161923,0.00002462962,0.00020949976,0.0038185501,0.010059349,0.045771744,0.18652463,0.30457932,0.0021161058],"about_ca_topic_score_codex":0.0022025125,"about_ca_topic_score_gemma":0.00054770644,"teacher_disagreement_score":0.52809584,"about_ca_system_score_codex":0.00019908087,"about_ca_system_score_gemma":0.0000067479323,"threshold_uncertainty_score":0.99832356},"labels":[],"label_agreement":null},{"id":"W1890119083","doi":"10.1029/2007wr006361","title":"Influence of sediment settling velocity on mechanistic soil erosion modeling","year":2008,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Soil erosion and sediment transport","field":"Agricultural and Biological Sciences","cited_by":47,"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":"","keywords":"Settling; Flume; Sediment; Erosion; Infiltration (HVAC); Soil science; Hydrology (agriculture); Geology; Environmental science; Geotechnical engineering; Geomorphology; Flow (mathematics); Mechanics; Meteorology; Physics; Environmental engineering","score_opus":0.09088225981762764,"score_gpt":0.28654076319774885,"score_spread":0.1956585033801212,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1890119083","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99893194,0.000025798308,0.0000056891154,0.0004235792,0.000023287314,0.00018162194,0.000009896823,0.000047201207,0.00035098908],"genre_scores_gemma":[0.9993743,0.000064212094,0.000021016314,0.00010194045,0.00007704557,0.000017450126,0.000029467607,0.0000018168433,0.00031280713],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99765635,0.00015574177,0.00027101618,0.00033645553,0.0010992734,0.0004811764],"domain_scores_gemma":[0.99943274,0.00012334752,0.000024728219,0.0000980208,0.0001811326,0.00014001307],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008575694,0.00012227816,0.00017248976,0.000047845566,0.00054568105,0.000023827373,0.00034855286,0.00009755125,0.0001731305],"category_scores_gemma":[0.00003232625,0.000041544034,0.000071838695,0.00025928838,0.00012613554,0.000061798186,0.00010867892,0.00030276127,0.00010123108],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017901014,0.00015581306,0.0030297828,0.000018443896,0.0000068719355,0.000019233774,0.0016993158,0.027983787,0.96581215,0.00003387568,0.000054828462,0.0010068782],"study_design_scores_gemma":[0.00070751103,0.0017084348,0.0396776,0.0003068192,0.000010727466,0.000013887609,0.0008545534,0.05464784,0.89522094,0.0009422443,0.005412921,0.0004965121],"about_ca_topic_score_codex":0.0011159027,"about_ca_topic_score_gemma":0.000059799848,"teacher_disagreement_score":0.07059121,"about_ca_system_score_codex":0.00003611826,"about_ca_system_score_gemma":0.0000066341695,"threshold_uncertainty_score":0.41969928},"labels":[],"label_agreement":null},{"id":"W1890964710","doi":"10.1029/2005wr004408","title":"Sensitivity and uncertainty analysis of the recharge boundary condition","year":2006,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Groundwater flow and contamination studies","field":"Environmental Science","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Groundwater recharge; MODFLOW; Wellhead; Sensitivity (control systems); Reliability (semiconductor); Head (geology); Environmental science; Hydraulic head; Boundary (topology); Groundwater flow; Hydrology (agriculture); Aquifer; Geology; Groundwater; Engineering; Geotechnical engineering; Petroleum engineering; Mathematics; Power (physics)","score_opus":0.02145099788306992,"score_gpt":0.2841279211350348,"score_spread":0.2626769232519649,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1890964710","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99646693,0.000027215063,0.00009428637,0.0005943862,0.000014567742,0.00011604457,0.000017286717,0.000008585043,0.0026606852],"genre_scores_gemma":[0.9930399,0.0000036873632,0.0000094612615,0.000029136898,0.000015904086,0.000010662502,0.000016867787,0.0000037166153,0.0068706395],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984404,0.0004242424,0.00013358548,0.00020562757,0.00055248756,0.00024364698],"domain_scores_gemma":[0.99962497,0.00009440003,0.00002337598,0.00019891183,0.00003280071,0.00002556911],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012630204,0.00006326596,0.0001272188,0.00010796215,0.00042087113,0.0000538059,0.00010302041,0.000033851367,0.00030609814],"category_scores_gemma":[0.000016462413,0.000034122328,0.000057721787,0.00050600275,0.0006880576,0.00007067872,0.00039187435,0.00012166188,0.00003753871],"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":[0.000043014672,0.00009772041,0.80776143,0.000016989356,0.0001836132,0.000009098327,0.00562926,0.0021855661,0.17439234,0.000113451715,0.001995965,0.007571541],"study_design_scores_gemma":[0.000122017256,0.000021253134,0.8972401,0.0000043230493,0.000050676215,0.0000014586016,0.00029792072,0.0017372305,0.020733617,0.0002744741,0.0794524,0.00006451814],"about_ca_topic_score_codex":0.008029637,"about_ca_topic_score_gemma":0.005286097,"teacher_disagreement_score":0.15365872,"about_ca_system_score_codex":0.00007129481,"about_ca_system_score_gemma":0.0000020291488,"threshold_uncertainty_score":0.998576},"labels":[],"label_agreement":null},{"id":"W1891988825","doi":"10.1029/2001wr000625","title":"Predicting hydraulic conductivity changes from aggregate mean weight diameter","year":2002,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Soil and Unsaturated Flow","field":"Engineering","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 Laval","funders":"","keywords":"Hydraulic conductivity; Wetting; Aggregate (composite); Soil water; Materials science; Stability (learning theory); Porosity; Soil science; Conductivity; Geotechnical engineering; Environmental science; Composite material; Geology; Chemistry","score_opus":0.056130779647429775,"score_gpt":0.25846874235678385,"score_spread":0.20233796270935409,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1891988825","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9831743,0.0018622816,0.000013210445,0.000683944,0.0002701587,0.00018774132,0.000026746111,0.00045259992,0.013328979],"genre_scores_gemma":[0.9960762,0.0002900403,0.000077780474,0.000042633565,0.00083167333,0.0000582637,0.000024991818,0.00007548489,0.0025229186],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9975913,0.00023115706,0.00018447156,0.00039517766,0.00065608026,0.0009417826],"domain_scores_gemma":[0.99904644,0.0001838943,0.00001384883,0.0004707893,0.00007632682,0.0002086933],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004544592,0.00022087306,0.00023808698,0.00029696335,0.00023761603,0.00019664907,0.00039406546,0.00018303817,0.0011809504],"category_scores_gemma":[0.000041433574,0.00015500833,0.00006247434,0.0003183953,0.00016039853,0.00018483154,0.00016459648,0.0008552517,0.0009727058],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015345572,0.00030943257,0.03213059,0.00042534666,0.0010407383,0.0006736966,0.14530234,0.0031433578,0.5527502,0.000014725582,0.0305882,0.23346795],"study_design_scores_gemma":[0.0008206174,0.0001277513,0.0017841547,0.00015038169,0.000022057711,0.000014180022,0.0005166259,0.13321665,0.51164097,0.00034055347,0.3508119,0.0005541819],"about_ca_topic_score_codex":0.0006450818,"about_ca_topic_score_gemma":0.00027992323,"teacher_disagreement_score":0.3202237,"about_ca_system_score_codex":0.000076312455,"about_ca_system_score_gemma":0.0000017387399,"threshold_uncertainty_score":0.99980515},"labels":[],"label_agreement":null},{"id":"W1892786204","doi":"10.1029/2009wr007702","title":"Evaluation of methods for estimating the effects of vegetation change and climate variability on streamflow","year":2010,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":151,"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 British Columbia, Okanagan Campus; University of British Columbia","funders":"China Scholarship Council; Ministry of Earth Sciences; Ministry of Education, India; Commonwealth Scientific and Industrial Research Organisation","keywords":"Streamflow; Vegetation (pathology); Environmental science; Climate change; Climatology; Drainage basin; Calibration; Hydrology (agriculture); Physical geography; Geography; Geology; Statistics; Mathematics","score_opus":0.09382203559047236,"score_gpt":0.4172867488827019,"score_spread":0.32346471329222953,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1892786204","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9970021,0.000019049814,0.00044207572,0.00033269724,0.00006777605,0.0009939427,9.2943355e-7,0.0000049762302,0.0011364118],"genre_scores_gemma":[0.99240166,0.0000062105573,0.0072492626,0.000014485875,0.00002645457,0.0002830053,0.0000019700674,0.0000046325777,0.000012332332],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99804777,0.0010614897,0.00012683915,0.00018183622,0.00036803854,0.0002140119],"domain_scores_gemma":[0.9986786,0.0010187838,0.00003701018,0.00019674748,0.000049482944,0.000019336756],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.016923461,0.000056062992,0.000096871474,0.00004568307,0.00023010845,0.000009713357,0.00013285584,0.000041580697,0.000034465487],"category_scores_gemma":[0.001041652,0.00002992468,0.000020935351,0.00007271642,0.000443017,0.000058793623,0.00025605355,0.00013380218,0.0000051443926],"study_design_candidate":"design_other","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":[0.0001892087,0.00021438005,0.06632002,0.0010209255,0.000098389806,3.0967877e-7,0.034610208,0.0021037825,0.22965656,0.00021449644,0.000046091016,0.6655256],"study_design_scores_gemma":[0.0013105692,0.0009922754,0.25859085,0.00008306751,0.00018342437,6.3676015e-7,0.0002002046,0.4535029,0.26161495,0.02187846,0.0014892857,0.00015340533],"about_ca_topic_score_codex":0.000116916344,"about_ca_topic_score_gemma":0.00004663944,"teacher_disagreement_score":0.6653722,"about_ca_system_score_codex":0.000017229837,"about_ca_system_score_gemma":0.0000012127516,"threshold_uncertainty_score":0.58653677},"labels":[],"label_agreement":null},{"id":"W1899137462","doi":"10.1029/2006wr005021","title":"Recursion‐based multiple changepoint detection in multiple linear regression and application to river streamflows","year":2007,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Statistical Methods and Inference","field":"Mathematics","cited_by":87,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Hydro-Québec; Institut National de la Recherche Scientifique; Natural Sciences and Engineering Research Council of Canada","funders":"","keywords":"Markov chain Monte Carlo; Recursion (computer science); Prior probability; Bayesian probability; Posterior probability; Linear regression; Computer science; Markov chain; Generalized linear model; Bayesian linear regression; Statistics; Mathematics; Bayesian inference; Algorithm","score_opus":0.1510885719316306,"score_gpt":0.4311448305224634,"score_spread":0.2800562585908328,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1899137462","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8107856,0.000017326853,0.1879539,0.0002548907,0.00002650138,0.00067891524,0.000009062979,0.00003797504,0.00023585022],"genre_scores_gemma":[0.90004236,0.0000050331805,0.09951985,0.000038435166,0.00008447695,0.00010368873,0.0000060243733,0.000024207178,0.00017595688],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99774754,0.00038406788,0.00032380875,0.00042469698,0.0005555359,0.000564355],"domain_scores_gemma":[0.9971685,0.0020322863,0.00003592241,0.0003526638,0.0001888909,0.00022177346],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0035548494,0.00013711968,0.00019676608,0.0004922764,0.00021349506,0.00003954325,0.00017123032,0.0001376188,0.00004755763],"category_scores_gemma":[0.0027761234,0.0000910708,0.00002726483,0.00039818187,0.00014259592,0.000045580215,0.00019267816,0.00039550033,0.000060508497],"study_design_candidate":"bench_or_experimental","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":[0.0014879507,0.00041311656,0.016780194,0.00030316503,0.000010593174,0.000038361813,0.01236684,0.000045426055,0.269212,0.00036574007,0.00015623284,0.69882035],"study_design_scores_gemma":[0.0019088397,0.0007077333,0.029346375,0.0003968136,0.000007438595,0.000005883452,0.0010530363,0.14005037,0.76311594,0.027548438,0.035435703,0.0004234528],"about_ca_topic_score_codex":0.00082612527,"about_ca_topic_score_gemma":0.0011293615,"teacher_disagreement_score":0.6983969,"about_ca_system_score_codex":0.00010696714,"about_ca_system_score_gemma":0.0000072285416,"threshold_uncertainty_score":0.37137595},"labels":[],"label_agreement":null},{"id":"W1900670569","doi":"10.1002/wrcr.20164","title":"Multisite precipitation generation using a latent autoregressive model","year":2013,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Drought Analysis","field":"Environmental Science","cited_by":26,"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 Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Autoregressive model; Precipitation; Environmental science; Econometrics; Meteorology; Climatology; Geography; Mathematics; Geology","score_opus":0.07557437725836207,"score_gpt":0.32792980380906767,"score_spread":0.2523554265507056,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1900670569","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9954746,0.000024953317,0.0017375712,0.00040205428,0.000017520568,0.0002677821,0.000001200543,0.000023205333,0.0020511555],"genre_scores_gemma":[0.9919913,0.00000536647,0.0020800326,0.00005875482,0.000070171685,0.00006486307,0.000019880368,0.000012307372,0.005697324],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99815416,0.00031810266,0.00016778232,0.00033489076,0.0005642011,0.00046083424],"domain_scores_gemma":[0.9995566,0.000028370143,0.000025910824,0.00023867749,0.00004306243,0.0001073905],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00062191935,0.00009331253,0.0001031085,0.00011803186,0.00043155206,0.000111259025,0.00020942121,0.00010256594,0.003525441],"category_scores_gemma":[0.00002885943,0.00006179236,0.000047458892,0.0001585456,0.00023147931,0.00035666558,0.0002713428,0.00021349824,0.0032148918],"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":[0.000016006108,0.0000592313,0.04984667,0.0000043116684,0.000025608393,0.0000071129302,0.012194216,0.5387754,0.393914,0.00000595345,0.0015891442,0.0035623065],"study_design_scores_gemma":[0.00012945417,0.00002569123,0.005170037,0.0000035691232,0.000007353187,0.000001980567,0.00004036748,0.97235715,0.02050732,0.0006325991,0.0010352301,0.000089227855],"about_ca_topic_score_codex":0.0040247324,"about_ca_topic_score_gemma":0.0003368707,"teacher_disagreement_score":0.43358177,"about_ca_system_score_codex":0.00011168485,"about_ca_system_score_gemma":0.0000028301076,"threshold_uncertainty_score":0.9975612},"labels":[],"label_agreement":null},{"id":"W1901134081","doi":"10.1029/2003wr002356","title":"Evaluation of cubic law based models describing single‐phase flow through a rough‐walled fracture","year":2004,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Groundwater flow and contamination studies","field":"Environmental Science","cited_by":279,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Fracture (geology); Mechanics; Flow (mathematics); Discretization; Work (physics); Surface roughness; Materials science; Surface finish; Law; Surface (topology); Volumetric flow rate; Geology; Geometry; Geotechnical engineering; Mathematics; Mathematical analysis; Physics; Thermodynamics; Composite material","score_opus":0.1913558013945895,"score_gpt":0.35673269104153266,"score_spread":0.16537688964694316,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1901134081","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96219736,0.00014809318,0.025495652,0.00103848,0.00003291662,0.00057585555,0.0000061414407,0.000037483183,0.01046804],"genre_scores_gemma":[0.99757296,0.000004849717,0.0016077395,0.00019516298,0.000042083473,0.00011022154,0.000024351071,0.000023755092,0.0004188543],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9950478,0.0005985248,0.00032504846,0.00045300496,0.0029852323,0.00059037446],"domain_scores_gemma":[0.9991463,0.00006927955,0.000047821177,0.00040480724,0.00024803882,0.00008378313],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0031876017,0.00017613581,0.00022272475,0.00009218701,0.0004683497,0.00011227435,0.0003757788,0.000101723606,0.0008837762],"category_scores_gemma":[0.000058256857,0.00012211256,0.00008888584,0.00030145198,0.00046829178,0.00063938845,0.00030423485,0.00026967222,0.00021698556],"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":[0.00020293573,0.0009830258,0.00019778976,0.000035681962,0.00007595485,0.00001805163,0.055317808,0.7990826,0.11875975,0.00014993738,0.00020842237,0.02496809],"study_design_scores_gemma":[0.011769465,0.0010507201,0.0004059953,0.00021814743,0.00015556117,0.000007926163,0.0030961463,0.31777838,0.5806367,0.021294788,0.06292352,0.00066268217],"about_ca_topic_score_codex":0.0030633297,"about_ca_topic_score_gemma":0.00068221503,"teacher_disagreement_score":0.48130417,"about_ca_system_score_codex":0.0005911265,"about_ca_system_score_gemma":0.000022223265,"threshold_uncertainty_score":0.967673},"labels":[],"label_agreement":null},{"id":"W1901741172","doi":"10.1029/2011wr011507","title":"Analyzing the combined influence of solar activity and El Niño on streamflow across southern Canada","year":2012,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Climate variability and models","field":"Environmental Science","cited_by":74,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Nipissing University","funders":"Ontario Ministry of Research and Innovation; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Nipissing University","keywords":"Streamflow; Climatology; Anomaly (physics); Environmental science; Sunspot; Teleconnection; Atmospheric sciences; Drainage basin; Geology; Geography; El Niño Southern Oscillation; Physics; Cartography","score_opus":0.03365469132725301,"score_gpt":0.307442974655749,"score_spread":0.273788283328496,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1901741172","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9986525,0.000018028595,0.0000031610123,0.00048945076,0.000012493992,0.00018713184,0.00003718419,0.0000068956033,0.00059314683],"genre_scores_gemma":[0.9996122,0.000010003013,0.0000075340195,0.000030012905,0.000019085153,0.000011905662,0.0000018498276,0.000009169633,0.00029821915],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9980472,0.00033301368,0.00013135883,0.00021960434,0.00059973996,0.00066908856],"domain_scores_gemma":[0.9991511,0.0002668263,0.000027200373,0.00039461695,0.000018073733,0.00014220018],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021570534,0.00009650005,0.00012464542,0.000017777684,0.0004368765,0.000047000096,0.0003296957,0.000050054303,0.00019818617],"category_scores_gemma":[0.00008673322,0.000053551317,0.000024116327,0.00014844105,0.0005319215,0.00013672418,0.000625383,0.00031796808,0.00004455474],"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":[0.00023456902,0.00019667557,0.84401745,0.00004866902,0.000026111473,0.0000027350613,0.032697048,0.007975341,0.111028284,0.000011765755,0.00010815355,0.003653178],"study_design_scores_gemma":[0.00080322893,0.00030037444,0.8545272,0.00006134633,0.000015404317,0.000004868564,0.0045381775,0.0057664015,0.118400015,0.0005948031,0.014588852,0.00039936838],"about_ca_topic_score_codex":0.5585628,"about_ca_topic_score_gemma":0.18322459,"teacher_disagreement_score":0.3753382,"about_ca_system_score_codex":0.00013449536,"about_ca_system_score_gemma":0.00001164148,"threshold_uncertainty_score":0.83167946},"labels":[],"label_agreement":null},{"id":"W1902044804","doi":"10.1029/2004wr003099","title":"Simulating soil water dynamics in a cutover bog","year":2004,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Peatlands and Wetlands Ecology","field":"Environmental Science","cited_by":46,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Peat; Water table; Hydrology (agriculture); Environmental science; Soil science; Hydraulic conductivity; Water content; Bog; Infiltration (HVAC); Water level; Geology; Soil water; Groundwater; Geotechnical engineering","score_opus":0.02338575134289019,"score_gpt":0.29293441318926133,"score_spread":0.26954866184637116,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1902044804","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9667805,0.0000072862586,0.000020267229,0.0013172312,0.000027449962,0.00016636241,0.0000022383435,0.000024683692,0.031654015],"genre_scores_gemma":[0.99584746,0.000005788415,0.0000669586,0.00010494931,0.000055978428,0.000024852696,0.000028349954,0.00001979502,0.0038458395],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9976282,0.00015527799,0.00022172826,0.00039202208,0.0005324395,0.0010703148],"domain_scores_gemma":[0.9995327,0.000049829963,0.0000109805815,0.0002735601,0.000010644006,0.00012228586],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0011109725,0.00012242184,0.00015667643,0.00014618442,0.0002324261,0.00008165617,0.00036883776,0.00011768375,0.0017509721],"category_scores_gemma":[0.000028667733,0.00007032622,0.000042286007,0.00017842876,0.00025807848,0.00013048318,0.00078823004,0.00043827944,0.0019565676],"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":[0.00018190178,0.00029862003,0.8426861,0.000029587933,0.000016275744,0.00046783563,0.017905233,0.102994174,0.031430494,0.00007853843,0.00035891586,0.0035523192],"study_design_scores_gemma":[0.013511366,0.0018670316,0.31917647,0.0001980113,0.000020058997,0.00015995053,0.0042441213,0.1721766,0.12210236,0.050140172,0.31413725,0.0022666203],"about_ca_topic_score_codex":0.0055357143,"about_ca_topic_score_gemma":0.009460767,"teacher_disagreement_score":0.5235096,"about_ca_system_score_codex":0.0006903521,"about_ca_system_score_gemma":0.0000049462656,"threshold_uncertainty_score":0.99916154},"labels":[],"label_agreement":null},{"id":"W1902271492","doi":"10.1029/2006wr005299","title":"Scale‐dependence of natural variability of flow regimes in a forested landscape","year":2007,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":34,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Trent University; Natural Resources Canada; Canadian Forest Service; Western University","funders":"","keywords":"Structural basin; Drainage basin; Tributary; Riparian zone; Hydrology (agriculture); Environmental science; Spatial variability; Range (aeronautics); Flow (mathematics); Geology; Geography; Ecology; Geomorphology; Habitat; Statistics","score_opus":0.018434331543265407,"score_gpt":0.2881636619081539,"score_spread":0.2697293303648885,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1902271492","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.981362,0.000031240703,0.000043794993,0.000349697,0.000027420845,0.00024327735,0.0000015674385,0.000010210348,0.017930798],"genre_scores_gemma":[0.9978769,0.000011519764,0.00032446775,0.000015015427,0.0000127463645,0.000009397986,0.0000031269303,0.000006036966,0.0017407845],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.997945,0.00029644434,0.0003090589,0.00030306674,0.0005987611,0.00054763514],"domain_scores_gemma":[0.9993529,0.00022645143,0.000034822904,0.00031335768,0.000024495977,0.00004800641],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005308654,0.0000907467,0.00020243209,0.00018919275,0.000090615766,0.0000071505497,0.00041441337,0.00007627866,0.0004483389],"category_scores_gemma":[0.00011564492,0.00005307342,0.00004143498,0.00037724126,0.00081782456,0.000102081205,0.000773556,0.00028789314,0.000060635124],"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":[0.00038074615,0.00012706043,0.9795998,0.00006242622,0.000017225444,0.000021406493,0.007893386,0.00057244586,0.00868422,0.000011583506,0.00028508998,0.0023446453],"study_design_scores_gemma":[0.00078084256,0.00022115468,0.9124206,0.000045469653,0.000007760799,0.0000031177044,0.00091990246,0.0023734989,0.075378634,0.0026897427,0.004998024,0.00016126099],"about_ca_topic_score_codex":0.0008865684,"about_ca_topic_score_gemma":0.0010302172,"teacher_disagreement_score":0.06717917,"about_ca_system_score_codex":0.000043767486,"about_ca_system_score_gemma":0.0000023715825,"threshold_uncertainty_score":0.49089965},"labels":[],"label_agreement":null},{"id":"W1903520690","doi":"10.1002/wrcr.20432","title":"Upscaling hydrological processes and land management change impacts using a metamodeling procedure","year":2013,"lang":"en","type":"article","venue":"Water Resources Research","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 Saskatchewan","funders":"Engineering and Physical Sciences Research Council","keywords":"Metamodeling; Context (archaeology); Scale (ratio); Computer science; Variance (accounting); Hydrological modelling; Geology; Accounting","score_opus":0.09129664473671496,"score_gpt":0.3180477619546196,"score_spread":0.22675111721790464,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1903520690","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9930462,0.0002981021,0.000055127704,0.0019485488,0.00001454166,0.00083904923,7.221519e-7,0.000051833547,0.0037458618],"genre_scores_gemma":[0.9981414,0.00018518542,0.00044682313,0.0003092678,0.000063913125,0.00016427295,0.0000030057392,0.000016778042,0.000669331],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99780536,0.0001529952,0.00017763673,0.00050564,0.00049136655,0.0008670116],"domain_scores_gemma":[0.99958646,0.00004101415,0.000022708624,0.00018478654,0.000023337696,0.0001416946],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009337139,0.00016990658,0.00018236702,0.00014534725,0.0006364002,0.00015278436,0.00027157753,0.00008467898,0.0005802825],"category_scores_gemma":[0.000032322536,0.00010034279,0.00002448688,0.0002549872,0.00045318113,0.00036997398,0.0014621565,0.00025106568,0.00043343223],"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":[0.00034026953,0.00053004647,0.8921289,0.0022863492,0.000568428,0.00033695134,0.0665871,0.009559368,0.013493547,0.00004092899,0.002036378,0.012091727],"study_design_scores_gemma":[0.008141374,0.0027069456,0.36167613,0.001157525,0.0006649504,0.00032299006,0.015401038,0.36521924,0.03260852,0.0532676,0.15372221,0.0051114694],"about_ca_topic_score_codex":0.0010184047,"about_ca_topic_score_gemma":0.00006597716,"teacher_disagreement_score":0.5304528,"about_ca_system_score_codex":0.000051105195,"about_ca_system_score_gemma":0.00000133764,"threshold_uncertainty_score":0.6353686},"labels":[],"label_agreement":null},{"id":"W1910610542","doi":"10.1029/2002wr001490","title":"Relative permeability characteristics necessary for simulating DNAPL infiltration, redistribution, and immobilization in saturated porous media","year":2003,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Groundwater flow and contamination studies","field":"Environmental Science","cited_by":67,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Imbibition; Porous medium; Relative permeability; Saturation (graph theory); Mechanics; Curvature; Permeability (electromagnetism); Multiphase flow; Materials science; Porosity; Soil science; Geology; Geotechnical engineering; Chemistry; Geometry; Mathematics; Physics","score_opus":0.033330826864352965,"score_gpt":0.29683501650363964,"score_spread":0.2635041896392867,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1910610542","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9940864,0.00003887371,0.0043797414,0.00029501852,0.000040404128,0.0005471128,0.000022314349,0.000021842705,0.0005682781],"genre_scores_gemma":[0.9987416,0.000009732213,0.00014322335,0.000022776427,0.000027705446,0.000104013765,0.0001619782,0.000011413248,0.00077754585],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9979666,0.0004460232,0.00035436518,0.00039243535,0.0004241178,0.0004164894],"domain_scores_gemma":[0.99919266,0.00038667992,0.000045069864,0.00016766546,0.00013665974,0.00007129756],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019572163,0.0001235664,0.00016464428,0.00008839915,0.00044774555,0.00010367895,0.0001085306,0.00009328371,0.00014210885],"category_scores_gemma":[0.0010611335,0.00009311281,0.000021124004,0.000328206,0.00035230353,0.00034447064,0.00012254434,0.00021264439,0.000021884118],"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":[0.00019821823,0.00019657631,0.89743817,0.00008659983,0.000025711059,0.000009674241,0.04922703,0.00037487803,0.032873526,0.00092462206,0.00027266223,0.01837232],"study_design_scores_gemma":[0.0014736246,0.00022541812,0.91012466,0.00004603172,0.0000133591975,0.000008516532,0.00479982,0.008183103,0.015273033,0.004020863,0.055433307,0.0003982679],"about_ca_topic_score_codex":0.00016090176,"about_ca_topic_score_gemma":0.00021858566,"teacher_disagreement_score":0.055160645,"about_ca_system_score_codex":0.00022217969,"about_ca_system_score_gemma":0.000009288846,"threshold_uncertainty_score":0.37970302},"labels":[],"label_agreement":null},{"id":"W1912839611","doi":"10.1029/2009wr008932","title":"Variability in simulated recharge using different GCMs","year":2010,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":97,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Environment and Climate Change Canada; Simon Fraser University","funders":"","keywords":"Groundwater recharge; Downscaling; Vadose zone; Environmental science; Hydrology (agriculture); Aquifer; Precipitation; Climate change; Water table; Climatology; Geology; Groundwater; Soil science; Meteorology; Soil water; Geography","score_opus":0.048685206292147266,"score_gpt":0.3276653526253536,"score_spread":0.27898014633320634,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1912839611","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98923093,0.0000027440371,0.000023884884,0.00072704634,0.00009020098,0.00032289463,0.0000012548692,0.000033377783,0.009567692],"genre_scores_gemma":[0.99831045,0.000004155665,0.00007541801,0.00005257606,0.00003841233,0.000014463288,0.0000038122478,0.00001261583,0.0014880737],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9974773,0.0006119234,0.0002096673,0.00046337434,0.00045616724,0.00078160054],"domain_scores_gemma":[0.99931836,0.00015580122,0.000015006844,0.00040933926,0.000010940626,0.0000905537],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0035412163,0.00012986401,0.00016626279,0.00014066904,0.00033625198,0.000042396572,0.00040263016,0.00012856918,0.00376407],"category_scores_gemma":[0.00013900333,0.00008175172,0.000035273108,0.00024401961,0.0005555301,0.00010787066,0.0011810161,0.0007907481,0.0006644897],"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":[0.00009809916,0.0002399903,0.83719325,0.000018322271,0.000017952369,0.000038258637,0.0053795655,0.0023778987,0.15354571,0.000032339605,0.0001950537,0.0008635776],"study_design_scores_gemma":[0.0024429113,0.00031006578,0.5757772,0.00004223011,0.000026647285,0.000009705378,0.0004889002,0.10932691,0.10051559,0.024977315,0.18506476,0.0010178084],"about_ca_topic_score_codex":0.0014701384,"about_ca_topic_score_gemma":0.0005672565,"teacher_disagreement_score":0.26141608,"about_ca_system_score_codex":0.000102625716,"about_ca_system_score_gemma":0.0000014963001,"threshold_uncertainty_score":0.9971466},"labels":[],"label_agreement":null},{"id":"W1914069691","doi":"10.1029/2006wr005645","title":"On the relation between dynamic storage and runoff: A discussion on thresholds, efficiency, and function","year":2007,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":147,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Surface runoff; Hydrograph; Runoff model; Environmental science; Hydrology (agriculture); Runoff curve number; Drainage basin; Snowmelt; Structural basin; Function (biology); Geology; Geography; Geotechnical engineering","score_opus":0.024183998052775987,"score_gpt":0.2827646061708863,"score_spread":0.2585806081181103,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1914069691","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9849098,0.000024644152,0.00024361096,0.004843829,0.000027899143,0.00031365096,0.0000010590048,0.000022680497,0.009612873],"genre_scores_gemma":[0.99653506,0.000020097885,0.0000052819696,0.00012497806,0.000025987785,0.000011817289,0.0000049365713,0.000009066793,0.0032627464],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984255,0.00020284127,0.00011961475,0.00034214774,0.00049408386,0.00041582447],"domain_scores_gemma":[0.9994753,0.00023791738,0.000017782537,0.00020236704,0.000004844285,0.00006180175],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027223239,0.00010429749,0.00008522227,0.0001190588,0.0009845064,0.00005121293,0.00013629768,0.00007085028,0.00015125002],"category_scores_gemma":[0.00003758882,0.000043559554,0.000016197762,0.0001434808,0.0005777864,0.00008006996,0.0004469894,0.00034810195,0.0002680877],"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":[0.0022772292,0.00037158455,0.86463016,0.00008069116,0.00015041317,0.000079452635,0.04458158,0.0043558036,0.017171217,0.002155316,0.0053159427,0.058830626],"study_design_scores_gemma":[0.00037346006,0.0007928725,0.96328026,0.000029913852,0.000013717562,0.0000014136855,0.0006716688,0.0014881052,0.0006658238,0.006302529,0.026232585,0.00014764426],"about_ca_topic_score_codex":0.000074837604,"about_ca_topic_score_gemma":0.00006326669,"teacher_disagreement_score":0.09865012,"about_ca_system_score_codex":0.00006531057,"about_ca_system_score_gemma":5.9399497e-7,"threshold_uncertainty_score":0.7572127},"labels":[],"label_agreement":null},{"id":"W1914298847","doi":"10.1029/2001wr000589","title":"Modeling the impact of ethanol on the persistence of benzene in gasoline‐contaminated groundwater","year":2002,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Groundwater flow and contamination studies","field":"Environmental Science","cited_by":71,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Gasoline; Benzene; Environmental chemistry; Dissolution; Plume; Environmental science; Biodegradation; Aquifer; Chemistry; Contamination; Ethanol; Environmental engineering; Groundwater; Waste management; Organic chemistry; Geology; Ecology; Geotechnical engineering","score_opus":0.1001424365767954,"score_gpt":0.30889976216233417,"score_spread":0.20875732558553878,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1914298847","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9944285,0.00008239518,0.0000537193,0.001199172,0.000012649818,0.00030893425,0.0000026337796,0.0000069590587,0.0039050023],"genre_scores_gemma":[0.9957347,0.000033502405,0.0000064189926,0.000027892738,0.000016171003,0.000044333203,0.0000014210048,0.000012150941,0.0041234],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9976028,0.00048664192,0.00031813144,0.00026044677,0.0008279053,0.0005040609],"domain_scores_gemma":[0.9992271,0.00020615783,0.00003430849,0.00042969605,0.0000624238,0.000040325533],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0016027943,0.00013570812,0.00019029723,0.00012996342,0.00023898602,0.00004183708,0.0006755565,0.000055032466,0.0013767427],"category_scores_gemma":[0.000057479214,0.000054920303,0.00011696803,0.00038247803,0.00051515776,0.00010190857,0.0004418724,0.00034666425,0.0001841687],"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":[0.000587938,0.0016649938,0.15414643,0.000094738774,0.00031671854,0.000049180933,0.33672798,0.13531013,0.337154,0.000117091564,0.0016971941,0.03213363],"study_design_scores_gemma":[0.001891015,0.0022515997,0.120892406,0.0002674017,0.000030887837,0.000020128136,0.017701864,0.6828413,0.16917787,0.0005612891,0.003756604,0.0006076498],"about_ca_topic_score_codex":0.0055120927,"about_ca_topic_score_gemma":0.00030326832,"teacher_disagreement_score":0.5475311,"about_ca_system_score_codex":0.00014332986,"about_ca_system_score_gemma":0.000002440859,"threshold_uncertainty_score":0.99953616},"labels":[],"label_agreement":null},{"id":"W1915019404","doi":"10.1002/2014wr016257","title":"Power asymmetry in conflict resolution with application to a water pollution dispute in <scp>C</scp>hina","year":2015,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Bayesian Modeling and Causal Inference","field":"Computer Science","cited_by":59,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Centre for International Governance Innovation; Wilfrid Laurier University; University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Conflict resolution; Asymmetry; Power (physics); Information asymmetry; China; Position (finance); Order (exchange); Environmental economics; Economics; Computer science; Environmental science; Political science; Microeconomics; Law; Physics","score_opus":0.052243806033337,"score_gpt":0.32113995959254554,"score_spread":0.26889615355920854,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1915019404","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8001016,0.00009602613,0.19319078,0.0026349935,0.0000393443,0.000492883,0.000001742695,0.00008571322,0.0033569133],"genre_scores_gemma":[0.99613714,0.0000058904416,0.0024302248,0.00018658765,0.000052969135,0.00016444328,0.000011025787,0.000019340167,0.0009923849],"study_design_codex":"qualitative","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99633074,0.00049318076,0.0003306306,0.00073447585,0.0010448437,0.0010661092],"domain_scores_gemma":[0.9985663,0.00007886008,0.000024434017,0.0007337901,0.0002707379,0.0003258344],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002892703,0.0001818039,0.00020967366,0.00092661445,0.00012012309,0.00034907012,0.001019783,0.00014661312,0.0000023921434],"category_scores_gemma":[0.0001207891,0.00011372223,0.000027321435,0.0010531542,0.00011066181,0.0004280979,0.00063133304,0.00058710633,0.00045331684],"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":[0.0012122279,0.00222805,0.044509154,0.000288882,0.00010141728,0.00063775835,0.5849901,0.09929095,0.17063765,0.035248168,0.015321368,0.045534275],"study_design_scores_gemma":[0.0043145614,0.002769081,0.029012006,0.00050178164,0.0000065892214,0.00009576219,0.0048024952,0.44927296,0.099092595,0.014335104,0.39499918,0.00079788495],"about_ca_topic_score_codex":0.001288692,"about_ca_topic_score_gemma":0.00029098237,"teacher_disagreement_score":0.5801876,"about_ca_system_score_codex":0.00028603358,"about_ca_system_score_gemma":0.00005765476,"threshold_uncertainty_score":0.5826622},"labels":[],"label_agreement":null},{"id":"W1915858293","doi":"10.1002/2015wr017840","title":"Pool‐riffle sedimentation and surface texture trends in a gravel bed stream","year":2015,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Sediment Transport Processes","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 British Columbia","funders":"","keywords":"Riffle; Sediment; Sedimentation; Geology; Hydrology (agriculture); Environmental science; STREAMS; Geomorphology; Geotechnical engineering; Computer science","score_opus":0.046601813126859425,"score_gpt":0.32021824748011596,"score_spread":0.27361643435325655,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1915858293","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9902419,0.000113057155,0.000005356821,0.001371797,0.000018481405,0.00012149792,0.0000043709697,0.000023128889,0.008100409],"genre_scores_gemma":[0.9954164,0.000015387945,0.00006860238,0.00007562841,0.000021572721,0.00001398243,0.00004509574,0.000011486865,0.00433186],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9982044,0.00018424785,0.00016130361,0.00036526576,0.00058739755,0.0004973538],"domain_scores_gemma":[0.9995971,0.00003398613,0.000014070347,0.00015712649,0.000014468439,0.00018327695],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0011316917,0.00011162896,0.00012575102,0.00014124841,0.00012746773,0.000046172234,0.000209151,0.00011258405,0.0013707691],"category_scores_gemma":[0.000011654772,0.00007815373,0.000017000075,0.00037889148,0.0003509392,0.00019976952,0.00014231293,0.000321421,0.00025853308],"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":[0.00052807486,0.00035190856,0.8818936,0.000027952845,0.000025374495,0.00014666395,0.057000626,0.0054668407,0.030782308,0.000018530345,0.0039541335,0.019804034],"study_design_scores_gemma":[0.008780553,0.0020356516,0.42382166,0.000079394755,0.000042615557,0.000062743275,0.008500181,0.011537723,0.189888,0.0054323613,0.3485755,0.0012436215],"about_ca_topic_score_codex":0.0018913994,"about_ca_topic_score_gemma":0.0009919176,"teacher_disagreement_score":0.4580719,"about_ca_system_score_codex":0.000072763716,"about_ca_system_score_gemma":0.000005808191,"threshold_uncertainty_score":0.9995421},"labels":[],"label_agreement":null},{"id":"W1916453331","doi":"10.1029/2005wr003993","title":"Prediction of discharge from water surface width in a braided river with implications for at‐a‐station hydraulic geometry","year":2006,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Sediment Transport Processes","field":"Environmental Science","cited_by":146,"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":"Hydraulics; Geometry; Channel (broadcasting); Geology; Surface (topology); Water discharge; Hydrology (agriculture); Range (aeronautics); Hydraulic structure; Geotechnical engineering; Materials science; Physics; Mathematics; Engineering","score_opus":0.028013952057900887,"score_gpt":0.2681188620463916,"score_spread":0.24010490998849074,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1916453331","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99666023,0.00002784515,0.00065099454,0.001098166,0.000008974669,0.00048969215,0.00012817288,0.000020929227,0.0009149799],"genre_scores_gemma":[0.99738157,0.000006773608,0.00034849343,0.00002439981,0.000023382083,0.0000963215,0.00062768,0.000015347538,0.0014760384],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99851006,0.00009026299,0.00024371032,0.00036076404,0.00034166407,0.00045356195],"domain_scores_gemma":[0.9995946,0.000093552866,0.000025936512,0.00020878893,0.000026507534,0.000050606606],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000545584,0.000099355806,0.00013414891,0.00010703023,0.0002085557,0.0000157648,0.00020752245,0.00008780033,0.000700139],"category_scores_gemma":[0.000006326468,0.000059188813,0.000028120205,0.00022807624,0.000401925,0.00021334874,0.00008281187,0.0001415251,0.00011134923],"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":[0.0002849254,0.00014983602,0.7489945,0.00002534234,0.000012078723,0.0000014670437,0.0035837928,0.011725591,0.23479538,0.000009241748,0.00026307636,0.0001547169],"study_design_scores_gemma":[0.0010183745,0.00024020266,0.7008592,0.000016774035,0.000011429246,0.0000013684662,0.000049661252,0.0011408568,0.27757582,0.003727228,0.015247255,0.000111824986],"about_ca_topic_score_codex":0.0042931368,"about_ca_topic_score_gemma":0.0016250896,"teacher_disagreement_score":0.048135355,"about_ca_system_score_codex":0.000089950874,"about_ca_system_score_gemma":0.0000042946463,"threshold_uncertainty_score":0.7666031},"labels":[],"label_agreement":null},{"id":"W1917061602","doi":"10.1002/wrcr.20331","title":"Finding appropriate bias correction methods in downscaling precipitation for hydrologic impact studies over North America","year":2013,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Climate variability and models","field":"Environmental Science","cited_by":532,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure; Ouranos; Université du Québec à Montréal","funders":"U.S. Department of Energy; National Oceanic and Atmospheric Administration; National Science Foundation","keywords":"Downscaling; Environmental science; Precipitation; Climate model; Climatology; Watershed; Hydrological modelling; Climate change; Coupled model intercomparison project; Meteorology; Computer science; Geology; Geography","score_opus":0.1910479905919534,"score_gpt":0.448095882214436,"score_spread":0.25704789162248265,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1917061602","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99655294,0.00003534612,0.0011352865,0.00023508976,0.000094904986,0.0010533421,0.000004768359,0.000028804849,0.0008595255],"genre_scores_gemma":[0.9943979,0.000048979906,0.0043895612,0.000038876136,0.000040183517,0.00047284394,0.000025452984,0.000015708838,0.0005704873],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99735,0.00080596085,0.00029009866,0.00044072926,0.00035976415,0.0007534921],"domain_scores_gemma":[0.9987156,0.0008534956,0.000041807427,0.00023172986,0.00004412022,0.00011326395],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0032933506,0.00013403504,0.00020945484,0.00024994483,0.00033894522,0.00012184227,0.00022634312,0.00008849766,0.0009969537],"category_scores_gemma":[0.0006630872,0.00008339243,0.00007908827,0.00042984585,0.0002524037,0.00031115726,0.00030287475,0.00030059522,0.00034817294],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002767173,0.000247169,0.43784568,0.00010418947,0.00007658569,0.0000028490335,0.077786006,0.33400336,0.06111224,0.0000029595917,0.0014741677,0.087068096],"study_design_scores_gemma":[0.00078962155,0.00073834846,0.14581671,0.00004999828,0.000014408893,0.0000029688083,0.0028512506,0.8176958,0.006639651,0.011044423,0.013932305,0.00042454386],"about_ca_topic_score_codex":0.028420782,"about_ca_topic_score_gemma":0.0025696033,"teacher_disagreement_score":0.48369244,"about_ca_system_score_codex":0.0005533733,"about_ca_system_score_gemma":0.000006875649,"threshold_uncertainty_score":0.99991626},"labels":[],"label_agreement":null},{"id":"W1918650041","doi":"10.1029/2007wr006507","title":"Mapping outlet points used for watershed delineation onto DEM‐derived stream networks","year":2008,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","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":"University of Guelph","funders":"","keywords":"Watershed; Hydrology (agriculture); Geology; Environmental science; Remote sensing; Cartography; Geography; Computer science; Geotechnical engineering; Computer vision","score_opus":0.0595388530374539,"score_gpt":0.29689984696447697,"score_spread":0.23736099392702306,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1918650041","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98753494,0.000028794706,0.0067479163,0.0029502981,0.00006417023,0.000776493,0.0000032699259,0.00007854557,0.0018155737],"genre_scores_gemma":[0.99045146,0.000055048615,0.0007704564,0.0002599534,0.0001436634,0.00020571241,0.00007669123,0.000028178923,0.008008834],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9973223,0.00029167577,0.00029278616,0.00053560385,0.00052823115,0.0010293546],"domain_scores_gemma":[0.9993566,0.00011644244,0.000033715343,0.0003337376,0.000036343034,0.00012313454],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013804127,0.00018814932,0.00022498386,0.00015224612,0.0011592803,0.000048130252,0.00042710817,0.00012682524,0.0006171991],"category_scores_gemma":[0.000052929012,0.00012940762,0.00008348343,0.00018812183,0.00056375674,0.0001900577,0.0006847325,0.00026246338,0.0006396081],"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":[0.0011613745,0.00056830124,0.67886966,0.00013902591,0.000495611,0.00018465765,0.11971148,0.055411216,0.06489547,0.00002696991,0.07173392,0.0068023205],"study_design_scores_gemma":[0.0047473847,0.000852303,0.0859007,0.00006022086,0.000041869524,0.000022846056,0.0034619456,0.08499732,0.050116625,0.001297981,0.767384,0.0011168323],"about_ca_topic_score_codex":0.00059495494,"about_ca_topic_score_gemma":0.00019266196,"teacher_disagreement_score":0.69565004,"about_ca_system_score_codex":0.00013959517,"about_ca_system_score_gemma":0.0000025066793,"threshold_uncertainty_score":0.89163643},"labels":[],"label_agreement":null},{"id":"W1921348063","doi":"10.1002/2014wr016520","title":"Optimizing hydrological consistency by incorporating hydrological signatures into model calibration objectives","year":2015,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":173,"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":"Natural Sciences and Engineering Research Council of Canada; University of Waterloo","keywords":"Consistency (knowledge bases); Metric (unit); Calibration; Context (archaeology); Computer science; Residual; Hydrological modelling; Data mining; Pareto principle; Statistics; Mathematics; Algorithm; Artificial intelligence; Geology","score_opus":0.053078089974036256,"score_gpt":0.3009908573982998,"score_spread":0.24791276742426352,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1921348063","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96482044,0.00021095527,0.0012769483,0.0031912702,0.000034940058,0.0003766233,0.000002473142,0.000121340105,0.029964997],"genre_scores_gemma":[0.9956464,0.000014547865,0.0018721792,0.00048319047,0.000051593932,0.00010431322,0.000027799048,0.000018081866,0.0017818535],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99652815,0.00079202926,0.00031003007,0.0007081016,0.00086531864,0.0007963966],"domain_scores_gemma":[0.9992563,0.0001283491,0.000048749476,0.00029590836,0.00003102038,0.00023963336],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024243188,0.00022448917,0.00026543828,0.00011953886,0.00083186483,0.000116106865,0.00052787946,0.00025057007,0.00021863736],"category_scores_gemma":[0.00020721935,0.0001399499,0.00005954533,0.00024485204,0.0015644729,0.0003504286,0.0017179474,0.00068269775,0.00031174472],"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":[0.00082745095,0.00052169914,0.04748901,0.000034715507,0.0001307053,0.00017506951,0.048911557,0.78041804,0.08737659,0.000422699,0.03267607,0.0010164004],"study_design_scores_gemma":[0.0013110075,0.0012926777,0.00053101836,0.0000168282,0.000028350272,0.000009217897,0.0021987467,0.8828932,0.01905436,0.075195916,0.016772654,0.00069602637],"about_ca_topic_score_codex":0.00042306673,"about_ca_topic_score_gemma":0.0000690274,"teacher_disagreement_score":0.10247515,"about_ca_system_score_codex":0.00015762825,"about_ca_system_score_gemma":0.000008170622,"threshold_uncertainty_score":0.6398116},"labels":[],"label_agreement":null},{"id":"W1921541386","doi":"10.1029/2005wr004346","title":"On interfacial instability as a cause of transverse subcritical bed forms","year":2006,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Sediment Transport Processes","field":"Environmental Science","cited_by":44,"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","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Instability; Flume; Sediment transport; Geology; Mechanics; Sediment; Transverse plane; Bedform; Bed load; Flow (mathematics); Geotechnical engineering; Open-channel flow; Geomorphology; Physics; Engineering","score_opus":0.027691919520545734,"score_gpt":0.30546291042970425,"score_spread":0.2777709909091585,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1921541386","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96868706,0.000009475246,0.000021189486,0.0005542815,0.000017865555,0.00021123896,0.00000881025,0.000024661234,0.030465437],"genre_scores_gemma":[0.9991671,0.0000029635748,0.000015056617,0.000047017944,0.000020682864,0.000023004373,0.000014027396,0.00001051658,0.00069966615],"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9979411,0.00015041252,0.00026067405,0.00034462204,0.0007381143,0.0005651023],"domain_scores_gemma":[0.999519,0.00010553309,0.000011169757,0.00024468356,0.000020779033,0.000098851684],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0008791726,0.00011314078,0.00016170587,0.0000889177,0.00017636525,0.000018227041,0.00033340178,0.00012266294,0.00734729],"category_scores_gemma":[0.00003614779,0.00007352233,0.0000609319,0.00018514661,0.0011579628,0.0001350009,0.000086374595,0.0003664254,0.00082461495],"study_design_candidate":"bench_or_experimental","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":[0.00898003,0.0052915546,0.56004584,0.00047187926,0.000116027855,0.0006412271,0.03952973,0.0040130415,0.36892185,0.005335851,0.001757624,0.004895329],"study_design_scores_gemma":[0.0017078507,0.001853344,0.032476116,0.00003843474,0.00002269748,0.000013288484,0.00040045465,0.00022891698,0.8840923,0.028331216,0.050481636,0.00035374923],"about_ca_topic_score_codex":0.0016251073,"about_ca_topic_score_gemma":0.0008039921,"teacher_disagreement_score":0.5275697,"about_ca_system_score_codex":0.000063527994,"about_ca_system_score_gemma":0.000007847375,"threshold_uncertainty_score":0.9999533},"labels":[],"label_agreement":null},{"id":"W1921648414","doi":"10.1029/2009wr008070","title":"Effects of snow cover on soil freezing, water movement, and snowmelt infiltration: A paired plot experiment","year":2010,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":184,"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","funders":"","keywords":"Snowmelt; Surface runoff; Infiltration (HVAC); Environmental science; Snow; Frost (temperature); Meltwater; Hydrology (agriculture); Soil water; Frost heaving; Soil science; Geology; Geotechnical engineering; Ecology; Meteorology; Geomorphology","score_opus":0.04733196433311936,"score_gpt":0.2887624578861219,"score_spread":0.24143049355300256,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1921648414","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99450725,0.0001369617,0.0000010212758,0.0008130551,0.00013598488,0.00036952604,0.000110354,0.000020247222,0.0039056167],"genre_scores_gemma":[0.99722946,0.000053974774,0.0000093507615,0.00027071286,0.00025508276,0.000015806083,0.00039777477,0.000009320095,0.0017585347],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99798363,0.00018864826,0.00019190904,0.00033350824,0.0006929287,0.0006093531],"domain_scores_gemma":[0.9991881,0.0002608985,0.000023257066,0.00027036373,0.000073254654,0.00018408993],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007558135,0.00015674188,0.00018815546,0.00020187278,0.0002736019,0.00016361685,0.00024199115,0.00010837599,0.0079177655],"category_scores_gemma":[0.00002962231,0.00008798875,0.000046031877,0.000089623456,0.00026991288,0.00013319617,0.0000801761,0.00036427745,0.00053806807],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00031197892,0.00010115065,0.059602216,0.00020477604,0.000033819204,0.000044684253,0.023053683,0.00005984308,0.90896714,0.000009352048,0.004451067,0.0031603095],"study_design_scores_gemma":[0.00060118374,0.0005897157,0.016741067,0.000043507785,0.000005134317,0.0000037028608,0.00032916796,0.00057769753,0.9217157,0.00010548902,0.05913453,0.00015310824],"about_ca_topic_score_codex":0.0056333384,"about_ca_topic_score_gemma":0.004552809,"teacher_disagreement_score":0.054683466,"about_ca_system_score_codex":0.000004635414,"about_ca_system_score_gemma":0.000008310848,"threshold_uncertainty_score":0.9929891},"labels":[],"label_agreement":null},{"id":"W1922112072","doi":"10.1002/2014wr016839","title":"Whither field hydrology? The need for discovery science and outrageous hydrological hypotheses","year":2015,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":189,"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":"Watershed; Field (mathematics); Formative assessment; Surface runoff; Work (physics); Process (computing); Scientific discovery; Hydrology (agriculture); Environmental resource management; Environmental ethics; Computer science; Environmental science; Sociology; Ecology; Geology; Mathematics; Psychology; Engineering; Cognitive science; Biology","score_opus":0.0715864199439736,"score_gpt":0.3113466098629868,"score_spread":0.23976018991901318,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1922112072","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9423059,0.000067601184,0.000056255256,0.022178264,0.00004766611,0.0004885844,0.0000015174897,0.000028789405,0.034825414],"genre_scores_gemma":[0.9899778,0.0000128312,0.00004188864,0.0014386127,0.00006640744,0.00013593357,8.025837e-7,0.000009629035,0.008316126],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99770135,0.00021445143,0.00013425475,0.0004622284,0.00067741505,0.00081029575],"domain_scores_gemma":[0.9991237,0.00037866176,0.000017596501,0.00032238718,0.00003479091,0.00012285105],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0044548158,0.00012184197,0.00013989226,0.000093314695,0.0009500395,0.00017499522,0.00070561806,0.0000763306,0.00019517023],"category_scores_gemma":[0.00056136516,0.00005694512,0.000029340978,0.00022254241,0.0034093992,0.0002575673,0.0015678285,0.00026652333,0.0003633346],"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":[0.0056785177,0.0009587547,0.59736174,0.00012211483,0.00032306954,0.00026931457,0.09499265,0.008510217,0.036353536,0.0020827798,0.21879366,0.034553647],"study_design_scores_gemma":[0.001170406,0.0018035005,0.012191205,0.000008033416,0.000027920341,0.000027497295,0.0018995082,0.004168245,0.010646643,0.030489694,0.9372124,0.0003549201],"about_ca_topic_score_codex":0.00028127222,"about_ca_topic_score_gemma":0.00006246709,"teacher_disagreement_score":0.7184188,"about_ca_system_score_codex":0.00005872865,"about_ca_system_score_gemma":0.00000716251,"threshold_uncertainty_score":0.99930274},"labels":[],"label_agreement":null},{"id":"W1924166902","doi":"10.1029/2001wr001086","title":"Sediment transport‐storage relations for degrading, gravel bed channels","year":2002,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Sediment Transport Processes","field":"Environmental Science","cited_by":100,"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 British Columbia","funders":"","keywords":"Sediment transport; Flume; Sediment; Bedform; Geology; Alluvium; Channel (broadcasting); Hydrology (agriculture); Erosion; Geomorphology; Soil science; Geotechnical engineering; Environmental science; Flow (mathematics); Mechanics; Engineering","score_opus":0.05747712601094782,"score_gpt":0.2873173247663463,"score_spread":0.2298401987553985,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1924166902","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9832168,0.00019978621,0.00082084624,0.0022434036,0.00008658405,0.0006766336,0.000016685219,0.00007656341,0.012662678],"genre_scores_gemma":[0.97632724,0.000041903873,0.00027226022,0.000120001016,0.000091237125,0.00025566234,0.000048845108,0.000028163062,0.022814658],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9976021,0.0000982771,0.0002731546,0.0004964109,0.00066148763,0.00086856424],"domain_scores_gemma":[0.999373,0.000096248754,0.000023830678,0.00027776015,0.000024651074,0.00020449852],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0010140095,0.00016307164,0.00017362661,0.0001470314,0.0007524199,0.00003520085,0.000429129,0.00015204426,0.015428089],"category_scores_gemma":[0.000016883896,0.00011967324,0.00009397043,0.00027530568,0.00043445046,0.00019167965,0.00005637941,0.00035097683,0.0017012643],"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":[0.0011969191,0.003996484,0.39613888,0.00059206627,0.0005658305,0.00053314806,0.26859835,0.056682028,0.118876815,0.0009974334,0.13346177,0.018360281],"study_design_scores_gemma":[0.0012019231,0.00047045606,0.0035819495,0.000025924559,0.000033113218,0.000009579989,0.00022024756,0.010070168,0.032443684,0.0018213697,0.9497338,0.00038778814],"about_ca_topic_score_codex":0.00017388049,"about_ca_topic_score_gemma":0.000070241666,"teacher_disagreement_score":0.816272,"about_ca_system_score_codex":0.00009166145,"about_ca_system_score_gemma":0.0000030030405,"threshold_uncertainty_score":0.999076},"labels":[],"label_agreement":null},{"id":"W1924187595","doi":"10.1002/wrcr.20391","title":"Hydraulic validation of two-dimensional simulations of braided river flow with spatially continuous aDcp data","year":2013,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Flood Risk Assessment and Management","field":"Environmental Science","cited_by":102,"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 Ottawa","funders":"Ministerio de Ciencia e Innovación; Natural Environment Research Council; Sight Research UK","keywords":"Hydrology (agriculture); Geology; Model validation; Flow (mathematics); Environmental science; Geotechnical engineering; Computer science; Mathematics; Geometry","score_opus":0.04222039931147731,"score_gpt":0.3131839531687209,"score_spread":0.2709635538572436,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1924187595","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99515504,0.000008087154,0.00030254282,0.00044018426,0.000015807816,0.0006239628,0.000021077454,0.000013480711,0.0034198044],"genre_scores_gemma":[0.9934281,0.0000021128842,0.004419298,0.000021555925,0.000024585415,0.000017481252,0.00019666474,0.000014214895,0.00187596],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99769884,0.00022086642,0.0002668162,0.00034095143,0.0011435424,0.0003289684],"domain_scores_gemma":[0.99899364,0.00011173211,0.00006474955,0.00068104966,0.00007295073,0.000075897275],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006948287,0.00010115964,0.00016179595,0.00012301365,0.00012191577,0.000044838987,0.00060494564,0.000033403627,0.004157443],"category_scores_gemma":[0.000027484723,0.00006344325,0.000022580978,0.00023284888,0.00044798793,0.0004013001,0.0012095243,0.00012930541,0.00033431643],"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":[0.00015619176,0.00056645635,0.09426039,0.00007059328,0.00013920729,0.000010212337,0.0048569622,0.75970346,0.11977546,0.000025846291,0.009200993,0.011234219],"study_design_scores_gemma":[0.0034197483,0.0009540919,0.08814308,0.00011339744,0.00007517954,0.000003187892,0.0003169645,0.7100424,0.1710748,0.0020180463,0.023359137,0.00047998017],"about_ca_topic_score_codex":0.0091758575,"about_ca_topic_score_gemma":0.00045054583,"teacher_disagreement_score":0.051299334,"about_ca_system_score_codex":0.000036546673,"about_ca_system_score_gemma":0.000008997267,"threshold_uncertainty_score":0.9974221},"labels":[],"label_agreement":null},{"id":"W1924770289","doi":"10.1029/2004wr003685","title":"A maximum likelihood estimator for bedrock fracture transmissivities and its application to the analysis and design of borehole hydraulic tests","year":2006,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Groundwater flow and contamination studies","field":"Environmental Science","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":"Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Borehole; Mathematics; Scale (ratio); Fracture (geology); Population; Statistics; Confidence interval; Bedrock; Estimator; Geotechnical engineering; Geology","score_opus":0.018776847044421587,"score_gpt":0.27790428939536654,"score_spread":0.259127442350945,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1924770289","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8697883,0.00029816598,0.12586874,0.0031490098,0.0000028714821,0.0007681627,0.000011404732,0.000011662969,0.000101668746],"genre_scores_gemma":[0.99780166,0.000010863725,0.000625282,0.00006991723,0.000023724126,0.00032529264,0.0000090018375,0.0000090891235,0.0011251819],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9987924,0.00010044919,0.0001549532,0.00027553548,0.0003795453,0.000297126],"domain_scores_gemma":[0.9995678,0.00015516521,0.000022028165,0.00015534417,0.00003748549,0.00006219366],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00064185594,0.000094993506,0.00014894195,0.00012457729,0.00037377726,0.00007331168,0.000174906,0.000040995234,0.000026116517],"category_scores_gemma":[0.000015673411,0.000053718548,0.000032943088,0.00032127366,0.00013954332,0.000078604215,0.0001356511,0.000078255536,0.000015525724],"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":[0.0006414176,0.000497619,0.17218278,0.00038342297,0.000621041,0.000008204608,0.071280874,0.03527205,0.37929425,0.00006530348,0.0077162525,0.3320368],"study_design_scores_gemma":[0.0007436918,0.00038825168,0.524962,0.00002011847,0.0001986865,0.0000049307273,0.0012306661,0.03772158,0.14107725,0.002940748,0.29038334,0.00032874855],"about_ca_topic_score_codex":0.0009335266,"about_ca_topic_score_gemma":0.000378258,"teacher_disagreement_score":0.3527792,"about_ca_system_score_codex":0.00002648417,"about_ca_system_score_gemma":0.0000023280438,"threshold_uncertainty_score":0.28748304},"labels":[],"label_agreement":null},{"id":"W1925345334","doi":"10.1029/2012wr011916","title":"An extension of the capillary and thin film flow model for predicting the hydraulic conductivity of air‐free frozen porous media","year":2012,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":53,"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":"","keywords":"Porous medium; Capillary action; Hydraulic conductivity; Materials science; Mechanics; Thermal conductivity; Porosity; Flow (mathematics); Thermodynamics; Geotechnical engineering; Composite material; Geology; Soil science; Physics; Soil water","score_opus":0.11357767415665886,"score_gpt":0.3042153674801357,"score_spread":0.19063769332347685,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1925345334","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9958279,0.0012516837,0.000008477286,0.00072711357,0.00009473237,0.0003778356,0.0013016188,0.000008185198,0.00040246223],"genre_scores_gemma":[0.9991713,0.000110879046,0.000067910216,0.00007395737,0.00021752942,0.0000045900015,0.0002439946,0.000006883491,0.00010291459],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9982019,0.00035414952,0.00019417603,0.00019244968,0.00057543494,0.00048186074],"domain_scores_gemma":[0.99864376,0.0005515332,0.000050959385,0.0005231477,0.00011357175,0.0001170513],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002593415,0.000098852965,0.00016906289,0.00007223935,0.00038566318,0.00002912351,0.00049986265,0.000083883075,0.00025494327],"category_scores_gemma":[0.00017610223,0.00004378232,0.000048044207,0.00011762069,0.00042887568,0.00025361485,0.0001435327,0.00024211551,0.000004168159],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00040296844,0.00008895931,0.7757889,0.00025417362,0.000035757454,0.0000020539396,0.17071311,0.020468833,0.026038732,0.000007999284,0.0021924658,0.004006034],"study_design_scores_gemma":[0.00038824428,0.00016660849,0.2249165,0.00004914394,0.000019085095,0.000017226768,0.0047033993,0.75264317,0.014432013,0.00085193897,0.0016962163,0.00011645409],"about_ca_topic_score_codex":0.00701911,"about_ca_topic_score_gemma":0.0066300947,"teacher_disagreement_score":0.73217434,"about_ca_system_score_codex":0.0000033518118,"about_ca_system_score_gemma":0.000015356434,"threshold_uncertainty_score":0.99959326},"labels":[],"label_agreement":null},{"id":"W1930412689","doi":"10.1029/2009wr008829","title":"Forest recovery and river discharge at the regional scale of Guangdong Province, China","year":2010,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":148,"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 British Columbia, Okanagan Campus; Kelowna General Hospital; University of British Columbia","funders":"","keywords":"Reforestation; Evapotranspiration; Dry season; Environmental science; Water balance; Wet season; Hydrology (agriculture); Water resources; Precipitation; Water resource management; Geography; Forestry; Agroforestry; Ecology; Meteorology","score_opus":0.016751010983418527,"score_gpt":0.257826927454313,"score_spread":0.2410759164708945,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1930412689","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9784627,0.00003150653,0.000002819969,0.0041749496,0.0000362262,0.00027875937,0.000003912995,0.000010161908,0.016998982],"genre_scores_gemma":[0.9717868,0.00004364715,0.00004552621,0.00006775093,0.00004353567,0.000030749656,0.0000055805353,0.000008949405,0.027967457],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998597,0.00013845252,0.00012433196,0.00028540177,0.0004368604,0.00041794992],"domain_scores_gemma":[0.99953955,0.000070422575,0.000023953868,0.00030115515,0.000008090717,0.00005680188],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00109705,0.000090767346,0.000105048595,0.000056256293,0.0006923006,0.000025212415,0.00033411346,0.00005876324,0.00091960165],"category_scores_gemma":[0.000021425209,0.000044981552,0.00003558168,0.000089507965,0.0026966443,0.00012504753,0.0016960993,0.0003221411,0.0003320328],"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":[0.00019967057,0.00007305189,0.9509218,0.000032482178,0.000036278318,0.00000897079,0.007969497,0.0001114163,0.023352,0.000110192384,0.015344598,0.0018400571],"study_design_scores_gemma":[0.00026955656,0.0001408375,0.6621771,0.000009588511,0.000009672768,0.000008615445,0.00016364746,0.00019401904,0.008072276,0.0036859824,0.32514036,0.00012835384],"about_ca_topic_score_codex":0.0011048402,"about_ca_topic_score_gemma":0.0033918645,"teacher_disagreement_score":0.30979574,"about_ca_system_score_codex":0.000022895316,"about_ca_system_score_gemma":0.0000018081499,"threshold_uncertainty_score":0.9999937},"labels":[],"label_agreement":null},{"id":"W1930631287","doi":"10.1002/2014wr016146","title":"Numerical investigation of methane and formation fluid leakage along the casing of a decommissioned shale gas well","year":2015,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":65,"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":"Fonds de recherche du Québec – Nature et technologies; Québec Ministère du Développement Durable, de l’Environnement et de la Lutte Contre les Changements Climatiques; Natural Sciences and Engineering Research Council of Canada; Ministère des Ressources Naturelles et de la Faune","keywords":"Casing; Caprock; Borehole; Geology; Oil shale; Aquifer; Methane; Petroleum engineering; Groundwater; Geotechnical engineering; Permeability (electromagnetism); Petrology; Hydrology (agriculture); Soil science","score_opus":0.045871130081732825,"score_gpt":0.2845982151228456,"score_spread":0.23872708504111279,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1930631287","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9960035,0.00006817155,0.0010255158,0.0004231824,0.000009204387,0.00017433528,5.5505313e-7,0.000006331466,0.0022891748],"genre_scores_gemma":[0.99700916,0.00002233813,0.0024483863,0.000021206957,0.000010655416,0.00000736792,0.0000044617764,0.000009769926,0.00046666656],"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9984637,0.00029664353,0.00022438283,0.00014859435,0.0006278996,0.00023880384],"domain_scores_gemma":[0.9995321,0.00007313028,0.000049579037,0.00019856982,0.000011340863,0.00013525969],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012917308,0.00007525724,0.00011629304,0.00001531594,0.000086587206,0.000016552838,0.00020380669,0.00004975312,0.00017876585],"category_scores_gemma":[0.000044736178,0.000043396707,0.000023738177,0.00016741733,0.0006580003,0.00017224181,0.00035958065,0.0001454564,0.000041056388],"study_design_candidate":"bench_or_experimental","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":[0.00037783422,0.0001310769,0.5104053,0.00013136437,0.00003063124,0.000014381626,0.08777535,0.03959767,0.34009668,0.00002473599,0.00083962554,0.020575333],"study_design_scores_gemma":[0.0017739888,0.0009862534,0.10877591,0.00012950551,0.00003720742,0.0001022014,0.021607386,0.25285524,0.5867929,0.0032836923,0.02321028,0.0004454391],"about_ca_topic_score_codex":0.0021071061,"about_ca_topic_score_gemma":0.000030200157,"teacher_disagreement_score":0.40162942,"about_ca_system_score_codex":0.000094686366,"about_ca_system_score_gemma":0.000004102636,"threshold_uncertainty_score":0.31853282},"labels":[],"label_agreement":null},{"id":"W1931118628","doi":"10.1029/2005wr004718","title":"General analytical treatment of the flow field relevant to the interpretation of passive fluxmeter measurements","year":2007,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Groundwater flow and contamination 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":"University of Waterloo","funders":"Environmental Security Technology Certification Program; U.S. Department of Defense","keywords":"Aquifer; Flow (mathematics); Sensitivity (control systems); Mechanics; Inverse; Convergence (economics); Geology; Streamlines, streaklines, and pathlines; Field (mathematics); Groundwater; Soil science; Geotechnical engineering; Hydrology (agriculture); Mathematics; Geometry; Physics; Engineering","score_opus":0.056629611737175914,"score_gpt":0.32764052518363257,"score_spread":0.27101091344645667,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1931118628","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99291754,0.00001592049,0.0022277771,0.0024326048,0.000053953772,0.0003237406,0.0000024249637,0.000003382712,0.002022656],"genre_scores_gemma":[0.99257433,0.0000028947118,0.000121026664,0.00012263766,0.000034714987,0.00002581742,0.0000012173197,0.0000053060835,0.007112045],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9982126,0.00020893934,0.00023515396,0.0001756867,0.0008754758,0.00029217498],"domain_scores_gemma":[0.99943984,0.00012478452,0.000027417913,0.00029756906,0.00006248445,0.00004789891],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00087515864,0.000077812234,0.00011625646,0.000060827577,0.00016621035,0.000021401027,0.00031205566,0.000031285537,0.00024349919],"category_scores_gemma":[0.000066567816,0.000031536245,0.0000776525,0.0002122819,0.00017465379,0.000038148526,0.00029242545,0.00007596759,0.000085245934],"study_design_candidate":"bench_or_experimental","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":[0.0007446621,0.00041898945,0.19730794,0.00002458329,0.00024510376,0.0000072697007,0.0955009,0.002973286,0.13580216,0.000022313578,0.005246973,0.5617058],"study_design_scores_gemma":[0.00042973482,0.00085065165,0.1540493,0.000026819995,0.00002821258,0.0000017961186,0.0011484543,0.0051276726,0.7416916,0.00006000898,0.09648181,0.0001039326],"about_ca_topic_score_codex":0.0006519702,"about_ca_topic_score_gemma":0.00065320777,"teacher_disagreement_score":0.60588944,"about_ca_system_score_codex":0.00014182404,"about_ca_system_score_gemma":0.000003155034,"threshold_uncertainty_score":0.26661456},"labels":[],"label_agreement":null},{"id":"W1937370143","doi":"10.1029/2007wr005862","title":"Addressing equifinality and uncertainty in eutrophication models","year":2008,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Groundwater flow and contamination studies","field":"Environmental Science","cited_by":85,"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 Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Equifinality; Markov chain Monte Carlo; Uncertainty analysis; Sensitivity analysis; Bayesian probability; Computer science; Monte Carlo method; Econometrics; Statistics; Mathematics; Artificial intelligence","score_opus":0.2097497225496662,"score_gpt":0.35506010648259906,"score_spread":0.14531038393293286,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1937370143","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99393517,0.00008940193,0.00023214992,0.000875624,0.000008860631,0.00014464548,0.0000010367999,0.000016066642,0.00469705],"genre_scores_gemma":[0.99543524,0.00005604329,0.00005937574,0.000041962383,0.000019290797,0.000044787783,0.000004075905,0.0000066825337,0.0043325447],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9983596,0.00025783948,0.0001551383,0.00029958674,0.0005377511,0.00039009232],"domain_scores_gemma":[0.9996806,0.000046551606,0.000012695508,0.00017389443,0.000023581488,0.000062716834],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009436238,0.00007679288,0.00010341485,0.00009412248,0.00042016676,0.000048200676,0.00016498369,0.000043383217,0.00015511063],"category_scores_gemma":[0.000016661665,0.00005285709,0.000015716467,0.00019261314,0.00055226864,0.00022561723,0.00046165852,0.0002014445,0.00012459444],"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":[0.00038336168,0.00042697391,0.6113025,0.00010108071,0.0000326504,0.00024480233,0.16844602,0.021528726,0.09166298,0.00038284616,0.0015797792,0.10390829],"study_design_scores_gemma":[0.0014034096,0.00018757087,0.83234954,0.000062260726,0.000005134091,0.00005483468,0.0023700222,0.04886086,0.0071877963,0.0072262036,0.099812046,0.00048030794],"about_ca_topic_score_codex":0.0030637519,"about_ca_topic_score_gemma":0.00031076753,"teacher_disagreement_score":0.22104706,"about_ca_system_score_codex":0.00014347013,"about_ca_system_score_gemma":0.0000033923675,"threshold_uncertainty_score":0.4631497},"labels":[],"label_agreement":null},{"id":"W1939312701","doi":"10.1029/2008wr007546","title":"Suspended sediment and carbonate transport in the Yukon River Basin, Alaska: Fluxes and potential future responses to climate change","year":2009,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":56,"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":"U.S. Geological Survey","keywords":"Sediment; Hydrology (agriculture); Suspended load; Geology; Carbonate; Deposition (geology); Sediment transport; Drainage basin; Butte; Structural basin; Environmental science; Discharge; Spring (device); Oceanography; Geomorphology; Geography","score_opus":0.05279084685559498,"score_gpt":0.29324691589519447,"score_spread":0.24045606903959948,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1939312701","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9842204,0.0009493943,8.5271765e-8,0.012464161,0.000056519228,0.0005320258,0.0005230856,0.000014190251,0.001240128],"genre_scores_gemma":[0.9969223,0.0011695477,0.00001383061,0.0008676988,0.00052109617,0.000008046666,0.00033753362,0.0000054489205,0.00015446084],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99749446,0.0004543491,0.00019629288,0.0003997521,0.00065875426,0.0007964137],"domain_scores_gemma":[0.99941295,0.00012668387,0.000015393913,0.00021347604,0.00003970019,0.00019177294],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001866204,0.00016859292,0.00020078373,0.00032651363,0.0003549823,0.00017230291,0.00027095637,0.000100862904,0.0006993613],"category_scores_gemma":[0.000008253939,0.00009450018,0.000032761396,0.00026385355,0.00017460251,0.00016071931,0.00003957988,0.00034655305,0.000055053835],"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":[0.0011038897,0.000035289766,0.8985091,0.000053657877,0.000009845896,0.00047523793,0.07880754,0.000009355474,0.0008002437,0.0000077283385,0.00029218,0.019895935],"study_design_scores_gemma":[0.00033374294,0.00045124377,0.96780366,0.000033387547,0.000008147265,0.000035707064,0.0027589467,0.00010709992,0.00026813877,0.00019900345,0.02785016,0.00015077213],"about_ca_topic_score_codex":0.0039428263,"about_ca_topic_score_gemma":0.0055110618,"teacher_disagreement_score":0.07604859,"about_ca_system_score_codex":0.0000064639216,"about_ca_system_score_gemma":0.0000061219603,"threshold_uncertainty_score":0.7657516},"labels":[],"label_agreement":null},{"id":"W1941098055","doi":"10.1002/2015wr017780","title":"Physically based modeling in catchment hydrology at 50: Survey and outlook","year":2015,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":374,"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":"Population; Scale (ratio); Hydrological modelling; Computer science; Process (computing); Advection; Field (mathematics); Consistency (knowledge bases); Hydrology (agriculture); Environmental science; Geography; Mathematics; Geology; Climatology; Physics","score_opus":0.10132930842916935,"score_gpt":0.31709742144669506,"score_spread":0.21576811301752571,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1941098055","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99120986,0.00004605561,0.000055514785,0.0022601413,0.0000221194,0.00023747156,0.0000019551896,0.000019035733,0.006147856],"genre_scores_gemma":[0.99721867,0.000011958394,0.000058456026,0.00023126802,0.000019003915,0.00005206961,0.000013819144,0.0000117440895,0.0023830233],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99746174,0.0007276707,0.00017285113,0.00045249079,0.00048662792,0.0006986116],"domain_scores_gemma":[0.9994906,0.00008967833,0.0000123155605,0.0002453017,0.000014550962,0.00014755782],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003218586,0.00012315936,0.00017964224,0.00012337294,0.00021423452,0.00002739622,0.00027073253,0.00007282786,0.00016180091],"category_scores_gemma":[0.000050487208,0.00008489212,0.000018953495,0.00013634711,0.00049136986,0.000079214034,0.0014442911,0.00025050304,0.0008212824],"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":[0.00049363537,0.00015546856,0.89025277,0.000014822305,0.000021693499,0.00005324389,0.00932606,0.09554208,0.0016638701,0.0000042538018,0.002065809,0.00040630248],"study_design_scores_gemma":[0.0043599303,0.0010254894,0.16759968,0.000026120231,0.000015601032,0.000005877534,0.0006950775,0.7367359,0.0040417234,0.004199842,0.080526024,0.00076874986],"about_ca_topic_score_codex":0.0062264632,"about_ca_topic_score_gemma":0.0035159881,"teacher_disagreement_score":0.7226531,"about_ca_system_score_codex":0.00019108484,"about_ca_system_score_gemma":0.0000035745734,"threshold_uncertainty_score":0.99995667},"labels":[],"label_agreement":null},{"id":"W1944668482","doi":"10.1029/2007wr006451","title":"Toward improving the reliability of hydrologic prediction: Model structure uncertainty and its quantification using ensemble‐based genetic programming framework","year":2008,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":53,"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","funders":"Natural Sciences and Engineering Research Council of Canada; Egg Farmers of Canada; University of Saskatchewan","keywords":"Parametric statistics; Hydrological modelling; Evapotranspiration; Uncertainty analysis; Uncertainty quantification; Covariance; Multiplicative function; Set (abstract data type); Computer science; Genetic programming; Sensitivity analysis; Reliability (semiconductor); Ensemble forecasting; Data mining; Mathematics; Statistics; Machine learning","score_opus":0.07801466860679337,"score_gpt":0.30069394887192824,"score_spread":0.22267928026513487,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1944668482","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9945558,0.000103881095,0.0038377102,0.00081827294,0.000023509949,0.00054876745,0.0000051315387,0.00002870505,0.000078232166],"genre_scores_gemma":[0.99719393,0.000029118803,0.0025782294,0.000047278605,0.00002791432,0.000035103796,0.0000041375565,0.000009789159,0.00007450224],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9980026,0.00034787704,0.00024195465,0.0004390208,0.0005119908,0.00045653846],"domain_scores_gemma":[0.9993937,0.00011591591,0.000051581217,0.00034594222,0.000039133047,0.00005370099],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010353157,0.00012375599,0.00014585404,0.00006594307,0.00089813885,0.000026360163,0.00030617844,0.00012709977,0.00005889559],"category_scores_gemma":[0.00012821805,0.00006924002,0.00003525949,0.00021585081,0.0010130977,0.00008939376,0.00049737,0.00038274185,0.000008045211],"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":[0.0001325993,0.000052677125,0.08956108,0.00009888234,0.00001836745,0.000007792059,0.01015354,0.86032414,0.038572907,0.000013627967,0.000027520484,0.0010368698],"study_design_scores_gemma":[0.00016867476,0.00013432578,0.0129842535,0.000013456822,0.000018464003,0.0000072425087,0.00020651729,0.9716106,0.012087691,0.0021511652,0.0005162165,0.0001013696],"about_ca_topic_score_codex":0.00033588454,"about_ca_topic_score_gemma":0.000014407579,"teacher_disagreement_score":0.11128649,"about_ca_system_score_codex":0.000070808135,"about_ca_system_score_gemma":0.0000071102672,"threshold_uncertainty_score":0.6907849},"labels":[],"label_agreement":null},{"id":"W1944934262","doi":"10.1002/2015wr017002","title":"Debates—Perspectives on socio‐hydrology: Simulating hydrologic‐human interactions","year":2015,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Flood Risk Assessment and Management","field":"Environmental Science","cited_by":87,"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":"Hydrology (agriculture); Hydrological modelling; Environmental science; Geology; Climatology; Geotechnical engineering","score_opus":0.0904789353332376,"score_gpt":0.38768855098136756,"score_spread":0.29720961564813,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1944934262","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8766127,0.000019950594,0.00003721688,0.0020083906,0.00005418581,0.00028036206,8.1323856e-7,0.00008606193,0.12090029],"genre_scores_gemma":[0.9894989,0.0000065372456,0.00015425944,0.00012402228,0.00013778557,0.00005748677,0.0000072760427,0.000022020664,0.0099917],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.99729574,0.00044674278,0.00018960604,0.00051668356,0.00082258816,0.0007286617],"domain_scores_gemma":[0.9992531,0.000115803654,0.000029781595,0.00037839694,0.000029542132,0.00019339165],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0016094173,0.00015241935,0.00014564199,0.00017846384,0.0005955946,0.00012932424,0.0004745002,0.00007001574,0.0021565757],"category_scores_gemma":[0.000074217925,0.000101260135,0.000058345508,0.0002046827,0.00047309863,0.00019850771,0.0009693816,0.00053763005,0.0036858148],"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":[0.00082343403,0.003032792,0.23410605,0.000048306145,0.0003848788,0.00041976664,0.22841352,0.32467946,0.10434872,0.0024588963,0.094451964,0.0068321973],"study_design_scores_gemma":[0.0028255493,0.003353019,0.011775411,0.00004633712,0.00004036063,0.000009775204,0.038131695,0.08311407,0.01621856,0.019095816,0.82438344,0.0010059606],"about_ca_topic_score_codex":0.0010388003,"about_ca_topic_score_gemma":0.00014816372,"teacher_disagreement_score":0.7299315,"about_ca_system_score_codex":0.00039919047,"about_ca_system_score_gemma":0.0000040552136,"threshold_uncertainty_score":0.9987556},"labels":[],"label_agreement":null},{"id":"W1945653003","doi":"10.1029/2004wr003777","title":"Hydraulic geometry of secondary channels of lower Fraser River, British Columbia, from acoustic Doppler profiling","year":2005,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Sediment Transport Processes","field":"Environmental Science","cited_by":42,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Hydraulics; Geology; Acoustic Doppler current profiler; Geometry; Channel (broadcasting); Scaling; Hydrology (agriculture); Doppler effect; Geomorphology; Geotechnical engineering; Physics; Engineering; Oceanography; Current (fluid); Telecommunications; Mathematics","score_opus":0.016612034217586023,"score_gpt":0.2527518574689221,"score_spread":0.23613982325133606,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1945653003","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99526274,0.00035442045,0.00004098742,0.0001126081,0.000055973593,0.00028209062,0.00007675991,0.000023590104,0.0037907998],"genre_scores_gemma":[0.99585557,0.00006453494,0.0002655504,0.000100413,0.000105443985,0.000028292741,0.000056797617,0.000022750204,0.0035006704],"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99754995,0.00013662018,0.00038856184,0.00045693078,0.0008521748,0.0006157574],"domain_scores_gemma":[0.99932843,0.00012219406,0.000054196036,0.00031286463,0.00004478652,0.00013754156],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00082574954,0.00010899038,0.00027943472,0.00009007497,0.00019759889,0.00005514484,0.00055112806,0.00018268729,0.033336725],"category_scores_gemma":[0.000032653224,0.00011887839,0.00007485723,0.0003233716,0.0010862736,0.00025479347,0.00028167578,0.00047695826,0.00035708997],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005095712,0.0016080823,0.6681922,0.00042992522,0.00025247893,0.00031495607,0.010681867,0.028817533,0.24771093,7.72235e-7,0.010739061,0.03074259],"study_design_scores_gemma":[0.0038062471,0.0013041727,0.1524146,0.0003186842,0.00009865767,0.000030842693,0.00094367174,0.0048152115,0.6140958,0.001811692,0.21937467,0.0009857399],"about_ca_topic_score_codex":0.025741864,"about_ca_topic_score_gemma":0.009631906,"teacher_disagreement_score":0.51577765,"about_ca_system_score_codex":0.000046562916,"about_ca_system_score_gemma":0.000014925173,"threshold_uncertainty_score":0.9807458},"labels":[],"label_agreement":null},{"id":"W1947562441","doi":"10.1029/2008wr007639","title":"New reconstructions of streamflow variability in the South Saskatchewan River Basin from a network of tree ring chronologies, Alberta, Canada","year":2009,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Tree-ring climate responses","field":"Earth and Planetary Sciences","cited_by":75,"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 Regina; Natural Resources Canada; Canadian Forest Service","funders":"","keywords":"Streamflow; Water year; Proxy (statistics); Drainage basin; Dendrochronology; Climatology; Structural basin; Historical record; Environmental science; Hydrology (agriculture); Water resources; Physical geography; Geography; Geology; Archaeology; Cartography; Geomorphology","score_opus":0.02631092438615373,"score_gpt":0.24416958554967572,"score_spread":0.21785866116352198,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1947562441","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9945051,0.00014018556,0.000010808422,0.0007660304,0.000057249235,0.00021738434,0.000120061144,0.000010120327,0.0041730753],"genre_scores_gemma":[0.9983233,0.000010141614,0.0011302559,0.000021108968,0.00009822642,0.0000011665375,0.00004201168,0.0000034638276,0.00037031242],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9967625,0.001248712,0.00038851774,0.00033147293,0.00062366127,0.0006450979],"domain_scores_gemma":[0.997086,0.0021422447,0.00006576703,0.0005414353,0.00005892602,0.000105622974],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0017399847,0.0001357107,0.0002844821,0.0001161043,0.00015620842,0.000045279165,0.00070363487,0.00009002443,0.0013721084],"category_scores_gemma":[0.00032183976,0.00008179433,0.000055625438,0.00047231684,0.00030601566,0.0000852789,0.00004721637,0.00040468678,0.000016769187],"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":[0.00031363018,0.00002262881,0.8895878,0.00001786608,0.000028200391,0.00001497451,0.014008436,0.0033302922,0.00011113725,0.000004549591,0.00047648928,0.09208395],"study_design_scores_gemma":[0.00029083202,0.00013370109,0.98887175,0.00005621641,0.000008240931,0.0000036819968,0.0035981142,0.00058048445,0.0011567454,0.001442324,0.0037541809,0.0001037473],"about_ca_topic_score_codex":0.97409284,"about_ca_topic_score_gemma":0.9851403,"teacher_disagreement_score":0.09928389,"about_ca_system_score_codex":0.000040114224,"about_ca_system_score_gemma":0.00045430515,"threshold_uncertainty_score":0.99954075},"labels":[],"label_agreement":null},{"id":"W1948500682","doi":"10.1029/2009wr008762","title":"Spatially distributed erosion and sediment yield modeling in the upper Indus River basin","year":2010,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Soil erosion and sediment transport","field":"Agricultural and Biological Sciences","cited_by":42,"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; University of British Columbia","funders":"","keywords":"Erosion; Indus; Structural basin; Hydrology (agriculture); Surface runoff; Sediment; Drainage basin; Arid; Environmental science; Plateau (mathematics); Geology; Geomorphology; Geography; Ecology","score_opus":0.07884081500724234,"score_gpt":0.2782312140664417,"score_spread":0.19939039905919936,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1948500682","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99310935,0.000023653052,0.0000030873684,0.0062176213,0.00004709748,0.00025685923,0.000015350475,0.000019511652,0.00030749603],"genre_scores_gemma":[0.9993539,0.00002489429,0.00001378178,0.00024912957,0.00012909531,0.00002694948,0.00006985311,0.0000011338535,0.00013125874],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99830043,0.00016958716,0.00017238008,0.00028019355,0.00064430473,0.00043309253],"domain_scores_gemma":[0.99957234,0.0001751634,0.000010545971,0.000087822555,0.000058153943,0.000096003256],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014550735,0.00010085188,0.0001057054,0.00003202152,0.00033325003,0.0001397798,0.00034892175,0.00013428825,0.00041324642],"category_scores_gemma":[0.000035069846,0.000027191714,0.000037232792,0.0002184297,0.00014701698,0.00007133818,0.00011483898,0.0006681071,0.000033612305],"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":[0.00014772832,0.00021094504,0.1699188,0.000008325499,0.0000053730273,0.000026867077,0.0066168793,0.000052353076,0.80747265,0.000047803907,0.00041733545,0.015074908],"study_design_scores_gemma":[0.00080561265,0.00062152237,0.8182823,0.00010327057,0.000010304743,0.000015611433,0.003178415,0.012303827,0.04321762,0.00092535024,0.120071575,0.0004646047],"about_ca_topic_score_codex":0.0046345005,"about_ca_topic_score_gemma":0.0022425824,"teacher_disagreement_score":0.76425505,"about_ca_system_score_codex":0.000010184587,"about_ca_system_score_gemma":0.000003283558,"threshold_uncertainty_score":0.7006009},"labels":[],"label_agreement":null},{"id":"W1948527475","doi":"10.1029/2011wr011296","title":"Hydromorphological implications of local tributary widening for river rehabilitation","year":2012,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Sediment Transport Processes","field":"Environmental Science","cited_by":109,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Tributary; Confluence; Channelized; Hydrology (agriculture); Geology; Hydraulic jump; Turbulence; Flow (mathematics); Environmental science; Geomorphology; Geotechnical engineering; Geography; Mechanics; Meteorology","score_opus":0.04394184045895194,"score_gpt":0.32377788959970255,"score_spread":0.2798360491407506,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1948527475","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99240917,0.000064561,0.0038787997,0.0016507128,0.000017078595,0.0003187775,0.000011960483,0.000018914603,0.0016300507],"genre_scores_gemma":[0.9984249,0.000004044269,0.0010586077,0.00004816782,0.000033990753,0.00013009392,0.000042973603,0.000006716863,0.00025050432],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99865013,0.00014932937,0.00020045879,0.00020321111,0.00028913046,0.0005077565],"domain_scores_gemma":[0.9992688,0.0003984887,0.000020778318,0.00017734658,0.000027921971,0.000106676234],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0016616484,0.000068715584,0.000116846255,0.000060787075,0.00022943874,0.0000060039606,0.0002375688,0.00009706865,0.0015794733],"category_scores_gemma":[0.00006410783,0.000046418274,0.000050615443,0.0001609877,0.0011345656,0.00018775747,0.000104420644,0.00016210272,0.00021362968],"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":[0.0003691557,0.0005031819,0.9094965,0.00007648734,0.000025239186,0.000001979817,0.016597195,0.0020416905,0.060193863,0.0003122732,0.0023214684,0.008061007],"study_design_scores_gemma":[0.000853275,0.0009954347,0.6745871,0.000018158682,0.000025344383,0.000014553244,0.0006265957,0.00055759726,0.076289274,0.0083164815,0.23748307,0.00023315907],"about_ca_topic_score_codex":0.00012412173,"about_ca_topic_score_gemma":0.000011748815,"teacher_disagreement_score":0.2351616,"about_ca_system_score_codex":0.000049972045,"about_ca_system_score_gemma":0.0000031752627,"threshold_uncertainty_score":0.9993332},"labels":[],"label_agreement":null},{"id":"W1949990935","doi":"10.1029/2008wr007622","title":"Constraining groundwater discharge in a large watershed: Integrated isotopic, hydraulic, and thermal data from the Canadian shield","year":2009,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Groundwater flow and contamination studies","field":"Environmental Science","cited_by":46,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Queen's University","funders":"","keywords":"Groundwater recharge; Groundwater; Groundwater discharge; Hydrology (agriculture); Geology; Bedrock; Aquifer; Surface water; Discharge; Watershed; Environmental science; Groundwater flow; Drainage basin; Geomorphology","score_opus":0.058987960390435176,"score_gpt":0.29849731893138404,"score_spread":0.23950935854094885,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1949990935","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98231494,0.00009722451,0.00004086053,0.011541112,0.000029710063,0.00031523398,0.000047764806,0.00001947265,0.0055936803],"genre_scores_gemma":[0.9957096,0.000012828227,0.00004294299,0.0010469012,0.000067668436,0.000023876064,0.00019372172,0.000011386966,0.0028910728],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9973629,0.00038337972,0.00023542844,0.0005480811,0.0005299684,0.000940214],"domain_scores_gemma":[0.999112,0.000104130784,0.000016219195,0.00058131403,0.000016142538,0.0001701633],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0016685753,0.00017003009,0.00017508467,0.00010796989,0.00073846866,0.00044717456,0.00093959906,0.00009399724,0.0017649591],"category_scores_gemma":[0.00003806211,0.000088162036,0.000021880027,0.00019717337,0.0004339739,0.00037809825,0.000832435,0.0005435278,0.00043183003],"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":[0.00011172873,0.00017055498,0.7832555,0.000007368761,0.0000601421,0.0001845141,0.122605,0.000011908774,0.011924725,0.00010363954,0.004484675,0.0770802],"study_design_scores_gemma":[0.00076380477,0.00009972791,0.49528947,0.000030343132,0.000007352327,0.000006353489,0.0061009754,0.0023188922,0.001400212,0.00028091442,0.49344188,0.00026005684],"about_ca_topic_score_codex":0.32761165,"about_ca_topic_score_gemma":0.5830479,"teacher_disagreement_score":0.48895723,"about_ca_system_score_codex":0.00015027328,"about_ca_system_score_gemma":0.000014358765,"threshold_uncertainty_score":0.99914753},"labels":[],"label_agreement":null},{"id":"W1954513632","doi":"10.1002/2013wr013523","title":"Depth-based regional index-flood model","year":2013,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Drought Analysis","field":"Environmental Science","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Weighting; Flood myth; Similarity (geometry); Statistics; Mean squared error; Computer science; Function (biology); Identification (biology); Mathematics; Data mining; Mathematical optimization; Algorithm; Geography; Artificial intelligence","score_opus":0.046889770748894576,"score_gpt":0.2988096075183038,"score_spread":0.25191983676940927,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1954513632","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9474699,0.000019971441,0.0004838865,0.0042725904,0.0000076179012,0.00017501213,8.1045533e-7,0.000036906913,0.047533337],"genre_scores_gemma":[0.9838693,0.0000031728446,0.00038393584,0.00054554373,0.000043531967,0.00009797217,0.000011388963,0.00001594096,0.015029177],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9974837,0.00027516065,0.00017449034,0.00041592758,0.00090061635,0.0007501631],"domain_scores_gemma":[0.9992459,0.00006984052,0.000016510967,0.00043533213,0.000027642867,0.00020478363],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00081359426,0.00011888049,0.00013595483,0.00015380864,0.00038993743,0.00008275971,0.00055802264,0.00014433736,0.012026149],"category_scores_gemma":[0.00002511418,0.000077735014,0.00008423732,0.00031054474,0.00069228926,0.00018533859,0.0003644628,0.000427809,0.014112385],"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":[0.00016936069,0.00044020262,0.6273392,0.000020083846,0.00008381569,0.000050283925,0.004879971,0.2635463,0.03611123,0.00007951374,0.06118822,0.0060918164],"study_design_scores_gemma":[0.0006175955,0.000107067215,0.027329542,0.0000073075994,0.0000115226785,0.000005379613,0.00011155698,0.842914,0.008977766,0.007764181,0.11186057,0.00029352665],"about_ca_topic_score_codex":0.002815567,"about_ca_topic_score_gemma":0.00046123957,"teacher_disagreement_score":0.6000097,"about_ca_system_score_codex":0.00008117058,"about_ca_system_score_gemma":0.0000089097075,"threshold_uncertainty_score":0.988877},"labels":[],"label_agreement":null},{"id":"W1955422619","doi":"10.1029/2003wr002918","title":"Forest harvesting impacts on the peak flow regime in the Columbia Mountains of southeastern British Columbia: An investigation using long‐term numerical modeling","year":2004,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":77,"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; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; University of British Columbia","keywords":"Environmental science; Snowmelt; Range (aeronautics); Elevation (ballistics); Surface runoff; Streamflow; Hydrology (agriculture); Preharvest; Drainage basin; Meteorology; Mathematics; Geography; Geology; Snow; Postharvest; Ecology","score_opus":0.06640627039008731,"score_gpt":0.29252656109651415,"score_spread":0.22612029070642684,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1955422619","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9975998,0.000013768477,0.00013381048,0.0010822342,0.000017737962,0.00057331944,0.0000044358117,0.000018395114,0.00055654196],"genre_scores_gemma":[0.9991651,0.0000059317667,0.00009744344,0.00024213959,0.000051538806,0.00004177895,0.000010656627,0.000020317922,0.00036510077],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9970874,0.0007246509,0.00029638503,0.00039561786,0.00079849566,0.0006974282],"domain_scores_gemma":[0.99933165,0.00010182225,0.000050045204,0.00040493807,0.000023904944,0.00008764319],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027596022,0.00010824201,0.00017251674,0.000055352994,0.0009541833,0.0005321451,0.0006638542,0.00008067853,0.00010905531],"category_scores_gemma":[0.00010558831,0.00008890305,0.000046133515,0.0003386484,0.0007822877,0.00028123142,0.0004983728,0.0004924373,0.000047359237],"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":[0.00002907611,0.00010157824,0.74997723,0.000023800143,0.000015793456,0.000059142643,0.020432847,0.22829948,0.00077837496,0.000003262789,0.000045454708,0.00023395229],"study_design_scores_gemma":[0.00089352403,0.00056161254,0.7838797,0.0003243071,0.00002531326,0.000044603,0.0048081693,0.20338513,0.00018859337,0.005465857,0.00010388257,0.00031932959],"about_ca_topic_score_codex":0.23380812,"about_ca_topic_score_gemma":0.37523523,"teacher_disagreement_score":0.1414271,"about_ca_system_score_codex":0.0001156418,"about_ca_system_score_gemma":0.000010050014,"threshold_uncertainty_score":0.771294},"labels":[],"label_agreement":null},{"id":"W1955552469","doi":"10.1029/2003wr002667","title":"Wavelet analysis of variability in annual Canadian streamflows","year":2004,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Climate variability and models","field":"Environmental Science","cited_by":252,"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; McMaster University","funders":"","keywords":"Northern Hemisphere; Climatology; Streamflow; Environmental science; North Atlantic oscillation; Wavelet; Precipitation; Drainage basin; Geology; Geography; Meteorology","score_opus":0.03289533752204182,"score_gpt":0.30219987894875144,"score_spread":0.2693045414267096,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1955552469","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9846138,0.0000030159606,0.000032787073,0.0006469733,0.000010852923,0.00022418564,0.000118306736,0.0000084944995,0.014341629],"genre_scores_gemma":[0.99947387,0.0000046508326,0.00021326735,0.000030621355,0.000009403487,0.00001884941,0.000033801178,0.000007736637,0.00020777738],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9972861,0.000571028,0.0003105314,0.0004413445,0.0006366589,0.0007543377],"domain_scores_gemma":[0.99897486,0.00016561925,0.00001689017,0.0005436319,0.000032690816,0.00026630907],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.006128257,0.00009949447,0.00024549867,0.000577734,0.000121868004,0.000027671455,0.0004394637,0.000111328365,0.003916951],"category_scores_gemma":[0.000208722,0.00007453959,0.00008582868,0.00154013,0.0004354979,0.00012823242,0.00032041917,0.0002981698,0.00015957897],"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":[0.0001143967,0.00065803266,0.67565817,0.00004747515,0.00017258742,0.00006110675,0.05504412,0.2539062,0.009636681,0.0003779375,0.000101652295,0.004221645],"study_design_scores_gemma":[0.0015211861,0.00032212964,0.87420005,0.000043839376,0.00014939324,0.0000039641186,0.0028887917,0.039662812,0.014354133,0.019976445,0.046170615,0.0007066721],"about_ca_topic_score_codex":0.7155087,"about_ca_topic_score_gemma":0.68894136,"teacher_disagreement_score":0.21424337,"about_ca_system_score_codex":0.00078125787,"about_ca_system_score_gemma":0.000039454368,"threshold_uncertainty_score":0.9969936},"labels":[],"label_agreement":null},{"id":"W1956511496","doi":"10.1029/2001wr000324","title":"Modes of response of a gravel bed river to meander straightening: The case of the Sainte‐Marguerite River, Saguenay Region, Quebec, Canada","year":2002,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Sediment Transport Processes","field":"Environmental Science","cited_by":54,"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","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Meander (mathematics); Aggradation; Geology; Fluvial; Hydrology (agriculture); Channel (broadcasting); Sediment; Erosion; Geomorphology; River bed; Sediment transport; Bed load; Geotechnical engineering; Structural basin","score_opus":0.03480266380632154,"score_gpt":0.2545803229691898,"score_spread":0.21977765916286826,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1956511496","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9958596,0.000104324994,0.000024211979,0.0029422613,0.000017745093,0.00032944925,0.0000139907515,0.0000050614644,0.000703343],"genre_scores_gemma":[0.9946166,0.000013795616,0.000031459735,0.00009071692,0.000010165105,0.000015538682,0.0000012678165,0.000011919173,0.0052085],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9974962,0.00067176635,0.00034692517,0.0002871926,0.00074430765,0.00045359126],"domain_scores_gemma":[0.99891007,0.0002967222,0.00006950207,0.00053716503,0.000076369375,0.000110170105],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010443609,0.00013155329,0.00021231943,0.00008338392,0.0002787307,0.000008781331,0.0007606699,0.000077346864,0.0008929257],"category_scores_gemma":[0.00010298905,0.000064928354,0.000073564515,0.00041216132,0.0018787995,0.00007109701,0.00027552052,0.0002861359,0.0000115512],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0057910243,0.00071463705,0.12768926,0.00034826208,0.0003718511,0.0017532321,0.3284887,0.03470989,0.4688889,0.00013311853,0.026832175,0.00427895],"study_design_scores_gemma":[0.001558811,0.0004952268,0.08762685,0.00018141721,0.00007474185,0.00022501519,0.005724447,0.0033769684,0.85736275,0.00087193766,0.042052012,0.00044983768],"about_ca_topic_score_codex":0.64921075,"about_ca_topic_score_gemma":0.58119154,"teacher_disagreement_score":0.38847384,"about_ca_system_score_codex":0.000088330715,"about_ca_system_score_gemma":0.00003278924,"threshold_uncertainty_score":0.97769105},"labels":[],"label_agreement":null},{"id":"W1958908491","doi":"10.1002/2015wr017274","title":"Using noble gas tracers to constrain a groundwater flow model with recharge elevations: A novel approach for mountainous terrain","year":2015,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Groundwater and Isotope Geochemistry","field":"Earth and Planetary Sciences","cited_by":18,"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 Victoria; McGill University; University of British Columbia","funders":"","keywords":"Groundwater recharge; Depression-focused recharge; Aquifer; Hydrology (agriculture); Groundwater; Geology; Groundwater model; Groundwater flow; MODFLOW; Environmental science; Geotechnical engineering","score_opus":0.17413515954151312,"score_gpt":0.32186275850883883,"score_spread":0.1477275989673257,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1958908491","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.875904,0.0000495648,0.11560264,0.00052294205,0.0000312073,0.0012341114,0.00015613997,0.00006087587,0.0064385105],"genre_scores_gemma":[0.90486705,0.0000015058889,0.09068703,0.0001628529,0.00017019137,0.00008066244,0.0004949941,0.00002355418,0.0035121308],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99669033,0.00012825981,0.00030611356,0.0006732472,0.000919552,0.0012825058],"domain_scores_gemma":[0.9986228,0.00007044536,0.000030522337,0.00040803128,0.00034818135,0.00052001857],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002403126,0.0002574616,0.0002769287,0.000303482,0.00046721645,0.00047590144,0.0005298387,0.00014201955,0.00016826202],"category_scores_gemma":[0.00006198538,0.00016359672,0.00006658576,0.00034622755,0.0002525324,0.00031349726,0.00006405734,0.00036272232,0.00007262536],"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":[0.003520676,0.00050891493,0.015819209,0.0004342114,0.00018986555,0.000039335482,0.062264696,0.85942703,0.047154192,0.000034965036,0.002707764,0.0078991465],"study_design_scores_gemma":[0.001500851,0.0006783941,0.00009045816,0.000045164736,0.00001655571,0.00011187717,0.005072922,0.97157806,0.008094734,0.0006252957,0.011748984,0.00043672734],"about_ca_topic_score_codex":0.0034473874,"about_ca_topic_score_gemma":0.0005242611,"teacher_disagreement_score":0.11215101,"about_ca_system_score_codex":0.00006800739,"about_ca_system_score_gemma":0.00014771764,"threshold_uncertainty_score":0.6671281},"labels":[],"label_agreement":null},{"id":"W1963581647","doi":"10.1029/2000wr900329","title":"First‐order reliability method for estimating reliability, vulnerability, and resilience","year":2001,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Groundwater flow and contamination studies","field":"Environmental Science","cited_by":143,"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","funders":"Natural Sciences and Engineering Research Council of Canada; U.S. Geological Survey; Marquette University; University of Illinois at Urbana-Champaign; University of British Columbia; Drexel University","keywords":"Reliability (semiconductor); Vulnerability (computing); Resilience (materials science); Reliability engineering; Environmental science; First-order reliability method; Quality (philosophy); Computer science; Water quality; Environmental resource management; Statistics; Engineering; Mathematics; Random variable; Ecology; Computer security","score_opus":0.04184819471184971,"score_gpt":0.3571619175231489,"score_spread":0.3153137228112992,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1963581647","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.86901915,0.00003555428,0.122138135,0.0058211144,0.000067017616,0.0008572788,0.000004868366,0.000064616295,0.0019922694],"genre_scores_gemma":[0.88570666,0.000016493283,0.099500604,0.00010615664,0.000102034595,0.00044473176,0.00000580931,0.00002680607,0.01409068],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9962623,0.0005998773,0.000402858,0.000962747,0.0008967206,0.00087548624],"domain_scores_gemma":[0.9978655,0.0011052452,0.000036119938,0.0006451886,0.00016875382,0.00017920646],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0073972563,0.00020004806,0.00026624135,0.00009134828,0.0013356771,0.00020129685,0.0004797165,0.00010360502,0.0005825582],"category_scores_gemma":[0.001284123,0.00013584479,0.00006330246,0.0004121822,0.00090923236,0.00031087224,0.0013771331,0.0003450944,0.00016033111],"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":[0.00061781466,0.00058589346,0.7354399,0.0004916265,0.000039442857,0.000023755689,0.033891886,0.024754839,0.010160241,0.00011506272,0.0050006993,0.18887883],"study_design_scores_gemma":[0.0011262319,0.00055101194,0.101001896,0.000051114737,0.000020608119,0.000033427237,0.0012424755,0.25920558,0.0039561987,0.01646412,0.6157811,0.0005661882],"about_ca_topic_score_codex":0.0023716975,"about_ca_topic_score_gemma":0.0006102636,"teacher_disagreement_score":0.634438,"about_ca_system_score_codex":0.00021709646,"about_ca_system_score_gemma":0.0000067857686,"threshold_uncertainty_score":0.9999645},"labels":[],"label_agreement":null},{"id":"W1967729674","doi":"10.1002/2013wr014034","title":"Groundwater flow dynamics and arsenic source characterization in an aquifer system of West Bengal, India","year":2014,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Arsenic contamination and mitigation","field":"Environmental Science","cited_by":73,"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 British Columbia; BGC Engineering (Canada); Geological Survey of Canada","funders":"","keywords":"Aquifer; Groundwater; Geology; Hydrology (agriculture); Residence time (fluid dynamics); Groundwater flow; Arsenic; Environmental science; Chemistry; Geotechnical engineering","score_opus":0.014227164061767881,"score_gpt":0.2538650189711269,"score_spread":0.23963785490935902,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1967729674","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9966405,0.0000025810666,0.0010388731,0.00017770597,0.00002882882,0.0002493319,0.000005098872,0.000023130899,0.001833958],"genre_scores_gemma":[0.9982753,0.000003836701,0.00008431584,0.000027932354,0.000033184733,0.00001858892,0.0001390534,0.000017488372,0.0014003129],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9981291,0.0004913471,0.00025690376,0.00030022557,0.00049110135,0.00033126702],"domain_scores_gemma":[0.9995468,0.000046360277,0.00004005221,0.00023800983,0.000027117321,0.00010163788],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014454997,0.000097628865,0.00013861405,0.00018128415,0.00013068631,0.00007516201,0.00019253546,0.00009231466,0.0004161892],"category_scores_gemma":[0.00002454022,0.00007505432,0.000019061357,0.00018614545,0.00023958585,0.0002914069,0.00024101639,0.00019843956,0.000137702],"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":[0.000108073575,0.00020757463,0.5780727,0.0001656936,0.000010062362,0.0000072317757,0.03552512,0.00041195165,0.23919788,0.00032893228,0.000022103855,0.14594266],"study_design_scores_gemma":[0.000523695,0.0002128119,0.7644134,0.000050329312,0.000004111118,0.00000863819,0.001436255,0.2203734,0.008031341,0.00003298657,0.004748196,0.000164787],"about_ca_topic_score_codex":0.00043838317,"about_ca_topic_score_gemma":0.0012464088,"teacher_disagreement_score":0.23116654,"about_ca_system_score_codex":0.00018678923,"about_ca_system_score_gemma":0.0000033637948,"threshold_uncertainty_score":0.45569798},"labels":[],"label_agreement":null},{"id":"W1970926657","doi":"10.1029/2011wr011239","title":"Assimilation of terrestrial water storage from GRACE in a snow‐dominated basin","year":2011,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Geophysics and Gravity Measurements","field":"Earth and Planetary Sciences","cited_by":139,"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":"Data assimilation; Surface runoff; Structural basin; Environmental science; Hydrology (agriculture); Water year; Drainage basin; Snow; Water storage; Climatology; Hydrological modelling; Geology; Meteorology; Geomorphology; Geography","score_opus":0.10021398121835219,"score_gpt":0.28112424113168394,"score_spread":0.18091025991333176,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1970926657","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9950886,0.000026981548,0.0000052102278,0.00009576867,0.00011401304,0.00024684853,0.0000461299,0.000009995445,0.004366459],"genre_scores_gemma":[0.9992029,0.0000047316216,0.00008689685,0.000010868857,0.00009084238,0.0000028622765,0.00023480042,0.000005387502,0.0003607055],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99750024,0.00056520524,0.00028146672,0.00029950537,0.0008031111,0.00055044994],"domain_scores_gemma":[0.9994402,0.00008499303,0.000029619378,0.00026590796,0.000075171825,0.000104109466],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0016731421,0.00011447953,0.00020019255,0.00029027075,0.00011152899,0.00005601259,0.00035359839,0.000092639755,0.0026584286],"category_scores_gemma":[0.000051111165,0.00006776184,0.000050763712,0.00020142246,0.00013806166,0.00016134535,0.000052472016,0.00030651985,0.00041393368],"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":[0.0011031787,0.00017073145,0.9375924,0.000022497263,0.00003859049,0.000055501987,0.029292895,0.00020849713,0.017751317,0.000002054241,0.00019941093,0.013562935],"study_design_scores_gemma":[0.00091457914,0.00021007979,0.88364565,0.000045935223,0.0000055011787,5.009941e-7,0.0003346848,0.0016008707,0.10638074,0.002458202,0.0042643277,0.000138937],"about_ca_topic_score_codex":0.06781008,"about_ca_topic_score_gemma":0.0050227344,"teacher_disagreement_score":0.08862942,"about_ca_system_score_codex":0.000009040236,"about_ca_system_score_gemma":0.000013867432,"threshold_uncertainty_score":0.9982533},"labels":[],"label_agreement":null},{"id":"W1972361167","doi":"10.1002/2013wr014736","title":"Antecedent moisture conditions control mercury and dissolved organic carbon concentration dynamics in a boreal headwater catchment","year":2014,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Mercury impact and mitigation studies","field":"Environmental Science","cited_by":31,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Western University; Toronto Metropolitan University; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; University of Toronto; National Science Foundation","keywords":"Dissolved organic carbon; Antecedent moisture; Environmental science; Hydrology (agriculture); Snowmelt; Soil water; Biogeochemical cycle; Surface runoff; Environmental chemistry; Soil science; Chemistry; Geology; Ecology","score_opus":0.015627327736683586,"score_gpt":0.2924568346581542,"score_spread":0.2768295069214706,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1972361167","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98942375,0.00004827897,0.000028385799,0.002768879,0.00003398657,0.00043580492,0.000015708785,0.000021944781,0.007223284],"genre_scores_gemma":[0.9989752,0.000052509604,0.000009780582,0.000120920675,0.000041864958,0.000069656395,0.000061335,0.000013996834,0.0006547374],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99798805,0.00036017128,0.00023693978,0.00031920895,0.00053810386,0.00055753766],"domain_scores_gemma":[0.9994941,0.00009218748,0.000026897002,0.00020109554,0.000026177488,0.00015955338],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008709058,0.0001380705,0.0001900995,0.000057626636,0.00025294305,0.00008947729,0.00014253579,0.000073615585,0.00027398882],"category_scores_gemma":[0.00004835679,0.00009407923,0.000024205992,0.00016237493,0.0004429202,0.00009845562,0.0001776624,0.0002687644,0.00006660138],"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":[0.00010690342,0.0001304319,0.8715221,0.000031276453,0.000033073517,0.000013628299,0.01700137,0.00009791251,0.10930868,0.00011641664,0.00057014055,0.0010680391],"study_design_scores_gemma":[0.0032856038,0.00048143324,0.910915,0.00008222695,0.000031628755,0.000021510257,0.005206185,0.025397738,0.040562257,0.001755579,0.011724411,0.00053639],"about_ca_topic_score_codex":0.0034201874,"about_ca_topic_score_gemma":0.0044591664,"teacher_disagreement_score":0.068746425,"about_ca_system_score_codex":0.0003805242,"about_ca_system_score_gemma":0.000005332529,"threshold_uncertainty_score":0.5170323},"labels":[],"label_agreement":null},{"id":"W1972445152","doi":"10.1002/2014wr015381","title":"Lateral subsurface stormflow and solute transport in a forested hillslope: A combined measurement and modeling approach","year":2014,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Soil and Unsaturated Flow","field":"Engineering","cited_by":66,"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":"Emil Aaltosen Säätiö","keywords":"TRACER; Hydrology (agriculture); Soil science; Geology; Subsurface flow; Flow (mathematics); Soil water; Groundwater; Environmental science; Geotechnical engineering; Mechanics","score_opus":0.05712318414057763,"score_gpt":0.2492931053955298,"score_spread":0.19216992125495216,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1972445152","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9970261,0.00049205,0.00058474403,0.00010216319,0.000031302123,0.00029090417,0.0000023652278,0.0001100289,0.0013603518],"genre_scores_gemma":[0.999377,0.00007998202,0.00026797623,0.000009398368,0.000037733873,0.000044782497,0.000012521972,0.000042712007,0.00012788705],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9980583,0.00014070063,0.00023501224,0.00031244647,0.0005890745,0.00066443725],"domain_scores_gemma":[0.999517,0.000023237979,0.0000060442776,0.00020410994,0.000092124064,0.000157479],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016319803,0.00017837412,0.00024033523,0.0002652794,0.00012248635,0.00009592439,0.00015582994,0.0001309574,0.000005234571],"category_scores_gemma":[0.000014542596,0.00013115855,0.00002441583,0.00019865108,0.000079659665,0.00012311774,0.000059112845,0.00050920603,0.000005077597],"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":[0.001518757,0.00036061654,0.1276965,0.0025199263,0.00037856802,0.00010868521,0.09364989,0.6916629,0.057027273,0.00014317264,0.00037020238,0.024563538],"study_design_scores_gemma":[0.0013493188,0.000081402686,0.009023253,0.000074687065,0.000006061881,0.0000068162835,0.00015907704,0.98614806,0.0011084712,0.00016531399,0.0016617335,0.00021582887],"about_ca_topic_score_codex":0.00043791078,"about_ca_topic_score_gemma":0.00030628633,"teacher_disagreement_score":0.29448515,"about_ca_system_score_codex":0.000067042136,"about_ca_system_score_gemma":0.00000628937,"threshold_uncertainty_score":0.53484905},"labels":[],"label_agreement":null},{"id":"W1973985853","doi":"10.1029/2000wr900086","title":"A full‐Bayesian approach to the groundwater inverse problem for steady state flow","year":2000,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Groundwater flow and contamination studies","field":"Environmental Science","cited_by":118,"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":"Mathematics; Principle of maximum entropy; Probability density function; Covariance; Probability distribution; Kriging; Covariance function; Hyperparameter; Statistics; Applied mathematics; Algorithm","score_opus":0.03851769671633588,"score_gpt":0.2779480067706254,"score_spread":0.23943031005428955,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1973985853","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9546252,0.000019835039,0.009556077,0.0039196424,0.000038558475,0.002089389,0.000018662511,0.00006694412,0.029665679],"genre_scores_gemma":[0.74638665,0.00000937184,0.0032661618,0.00051230605,0.00013134613,0.0014733021,0.000031909705,0.00004431966,0.24814464],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99673533,0.00035076455,0.00027438116,0.000600785,0.00096760713,0.0010711445],"domain_scores_gemma":[0.9991868,0.0000684889,0.000015705464,0.0004899053,0.00004828145,0.00019081295],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0019452746,0.00020166421,0.00018571076,0.00010403707,0.0009955773,0.00035052578,0.00077013724,0.000056405148,0.0016584089],"category_scores_gemma":[0.000011291206,0.00010516818,0.00008381517,0.00034233977,0.00034552583,0.00021267383,0.0005038836,0.00026360195,0.0038563388],"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":[0.001707311,0.00088073924,0.003921327,0.00014931275,0.00018756732,0.000021150918,0.29306152,0.019492313,0.008434487,0.00004505173,0.110757396,0.5613418],"study_design_scores_gemma":[0.00047202432,0.0003599127,0.00088203873,0.000008304729,0.0000072009757,0.0000073789606,0.0013917387,0.0075761466,0.00118857,0.0003693542,0.9875261,0.00021120222],"about_ca_topic_score_codex":0.0010141868,"about_ca_topic_score_gemma":0.0008634261,"teacher_disagreement_score":0.8767687,"about_ca_system_score_codex":0.00017430031,"about_ca_system_score_gemma":0.000005094924,"threshold_uncertainty_score":0.9992542},"labels":[],"label_agreement":null},{"id":"W1976077978","doi":"10.1029/2000wr900152","title":"Gravity‐destabilized nonwetting phase invasion in macroheterogeneous porous media: Experimental observations of invasion dynamics and scale analysis","year":2000,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Enhanced Oil Recovery Techniques","field":"Engineering","cited_by":118,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Stillwater (Canada)","funders":"","keywords":"Geology; Porous medium; Mechanics; Phase (matter); Capillary action; Porosity; Chemical physics; Geotechnical engineering; Materials science; Chemistry; Physics; Composite material","score_opus":0.035184080905786674,"score_gpt":0.314268091099316,"score_spread":0.27908401019352935,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1976077978","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99861234,0.0003929909,0.00010409821,0.000029439601,0.000013610187,0.0003005803,0.000030426983,0.0001243815,0.00039213308],"genre_scores_gemma":[0.997512,0.00037185548,0.0017688283,0.000005683777,0.000017084272,0.00007815178,0.00010889691,0.000040016967,0.000097514276],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99800533,0.000209247,0.00044698318,0.0003345798,0.00051148876,0.0004923582],"domain_scores_gemma":[0.99923366,0.00019943697,0.000022632914,0.00036634444,0.000068107314,0.000109839624],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00082658126,0.00016982878,0.00035214648,0.00075616554,0.00010611167,0.00006430257,0.00026042433,0.00013993288,0.00017846473],"category_scores_gemma":[0.000035921465,0.00014676244,0.00007718006,0.0009111882,0.00017531899,0.0001796451,0.00011350005,0.0003527946,0.0000070979595],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017289272,0.00027559462,0.020051988,0.00012469936,0.00008025633,0.000051353476,0.0098766,0.0057397024,0.93731326,0.000004140504,0.000014932211,0.026294598],"study_design_scores_gemma":[0.0008048808,0.00016029,0.0029924647,0.00008692348,0.000023295874,0.000008843369,0.000534006,0.049330175,0.9454855,0.00020234447,0.00016322959,0.00020805562],"about_ca_topic_score_codex":0.00052322,"about_ca_topic_score_gemma":0.0019411045,"teacher_disagreement_score":0.04359047,"about_ca_system_score_codex":0.00020631753,"about_ca_system_score_gemma":0.000006965603,"threshold_uncertainty_score":0.59847987},"labels":[],"label_agreement":null},{"id":"W1976800650","doi":"10.1002/2013wr014753","title":"Snowpack regimes of the Western United States","year":2014,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":196,"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":"Jet Propulsion Laboratory; California Institute of Technology; U.S. Department of Agriculture; National Aeronautics and Space Administration; National Oceanic and Atmospheric Administration; National Science Foundation","keywords":"Snow; Snowpack; Snowmelt; Water equivalent; Environmental science; Snow field; Physical geography; Climate change; Snow line; Climatology; Atmospheric sciences; Hydrology (agriculture); Snow cover; Geology; Geomorphology; Geography; Oceanography","score_opus":0.055028548642146416,"score_gpt":0.28322589541868354,"score_spread":0.22819734677653714,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1976800650","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99160296,0.00017990771,0.0000098041355,0.0033348282,0.000065788176,0.00012246058,0.000016266651,0.000014161414,0.0046538226],"genre_scores_gemma":[0.989501,0.00007737297,0.00004121824,0.00021097282,0.000088987465,0.0000016102555,0.000042957465,0.0000036281963,0.010032226],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9984994,0.0003061951,0.0001544356,0.00015491083,0.00051551755,0.00036956303],"domain_scores_gemma":[0.99914426,0.00031335917,0.00002624671,0.0003231158,0.00013419605,0.00005882693],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00081461406,0.00007032892,0.00010976946,0.000058013,0.0003864505,0.000059449063,0.0004428644,0.000032707077,0.0005842198],"category_scores_gemma":[0.00008467464,0.00003259592,0.000044040808,0.00046060645,0.00034025882,0.000044596953,0.00009359701,0.00017667333,0.00016090057],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000030883893,0.000013300571,0.9783997,0.000030549487,0.000022685563,8.360076e-7,0.0065992475,0.003356753,0.000053016603,0.000028380255,0.00680038,0.0046642576],"study_design_scores_gemma":[0.00008623826,0.000060173807,0.41160896,0.000013020274,0.0000022871175,6.598847e-7,0.00063734065,0.0025558518,0.0004520313,0.00031061575,0.58423096,0.00004186403],"about_ca_topic_score_codex":0.010703832,"about_ca_topic_score_gemma":0.0022713875,"teacher_disagreement_score":0.57743055,"about_ca_system_score_codex":0.0000027810286,"about_ca_system_score_gemma":0.000006437301,"threshold_uncertainty_score":0.995884},"labels":[],"label_agreement":null},{"id":"W1976810927","doi":"10.1029/2000wr900316","title":"Measurement of aperture distribution, capillary pressure, relative permeability, and in situ saturation in a rock fracture using computed tomography scanning","year":2001,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Groundwater flow and contamination studies","field":"Environmental Science","cited_by":191,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Golder Associates (Canada)","funders":"U.S. Department of Energy","keywords":"Capillary pressure; Relative permeability; Saturation (graph theory); Capillary action; Materials science; Wetting; Permeability (electromagnetism); In situ; Composite material; Water saturation; Tomography; Mineralogy; Geology; Geotechnical engineering; Optics; Chemistry; Porous medium; Porosity","score_opus":0.03570580046213604,"score_gpt":0.28205462209039134,"score_spread":0.2463488216282553,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1976810927","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99661857,0.0007870375,0.0015320526,0.00050668215,0.000010512732,0.0003471877,0.0000041422404,0.00000883021,0.00018497441],"genre_scores_gemma":[0.9997426,0.000019356472,0.00004157932,0.000025343237,0.000013300855,0.000017737215,0.000021159798,0.0000066112,0.00011226288],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9978018,0.00041384986,0.0002640529,0.00033052874,0.00084436144,0.0003454103],"domain_scores_gemma":[0.99961126,0.000062957355,0.000034525012,0.0001484368,0.000090634814,0.000052165055],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001238233,0.00011620971,0.00017843231,0.0001638479,0.00018596464,0.00004797397,0.00013556007,0.00009017698,0.000035532466],"category_scores_gemma":[0.00007293911,0.00008306353,0.000029128589,0.00052697654,0.00018675927,0.00025461314,0.00030065284,0.00031556474,0.0000045359316],"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":[0.00014140259,0.00011612999,0.9082868,0.00004788789,0.000024684068,0.0000140980255,0.016838996,0.00559387,0.0677922,0.000003027317,0.000093692106,0.0010471947],"study_design_scores_gemma":[0.000498859,0.00006109788,0.9588606,0.00011255102,0.0000067670703,0.0000061896294,0.0011095013,0.008896586,0.007148051,0.00010865758,0.023060901,0.0001302649],"about_ca_topic_score_codex":0.0018446271,"about_ca_topic_score_gemma":0.0016572069,"teacher_disagreement_score":0.06064415,"about_ca_system_score_codex":0.00020738141,"about_ca_system_score_gemma":0.0000057676093,"threshold_uncertainty_score":0.33872327},"labels":[],"label_agreement":null},{"id":"W1980310110","doi":"10.1002/2013wr014331","title":"Time‐lapse borehole radar for monitoring rainfall infiltration through podosol horizons in a sandy vadose zone","year":2014,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Geophysical Methods and Applications","field":"Engineering","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":"Université Laval","funders":"","keywords":"Groundwater recharge; Vadose zone; Infiltration (HVAC); Geology; Borehole; Water content; Ground-penetrating radar; Hydrology (agriculture); Capillary fringe; Soil science; Moisture; Soil water; Aquifer; Radar; Groundwater; Geotechnical engineering; Meteorology","score_opus":0.04433515972138163,"score_gpt":0.3343702954926854,"score_spread":0.29003513577130374,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1980310110","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9813575,0.000068745656,0.014181158,0.00044608995,0.000054747565,0.0006815338,0.000013931074,0.00014114047,0.0030551155],"genre_scores_gemma":[0.97800887,0.000020064881,0.01982307,0.000010343589,0.0005887425,0.00052026595,0.00002984471,0.000054469412,0.00094430585],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.99834883,0.00018057573,0.0002482481,0.0002725936,0.00032856458,0.0006211881],"domain_scores_gemma":[0.9990857,0.00035997416,0.000012961551,0.00036288565,0.00007873463,0.00009971882],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009968654,0.00014316874,0.00020571469,0.00014739578,0.00018296274,0.00011014711,0.0002752211,0.00009956593,0.000026789525],"category_scores_gemma":[0.000098147706,0.00011497785,0.00006288927,0.0003178667,0.000088672794,0.00013777857,0.00008070922,0.00037172157,0.00016256548],"study_design_candidate":"bench_or_experimental","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":[0.000062474894,0.00012926904,0.0002671112,0.00017253098,0.000031976917,0.0000023365656,0.0075701694,0.003584331,0.9547358,0.00061525527,0.0009901966,0.031838506],"study_design_scores_gemma":[0.0017870655,0.0004303809,0.003955162,0.00014035698,0.000014451512,0.0000026833256,0.00054495933,0.046698947,0.36283138,0.0114123905,0.5716272,0.00055504945],"about_ca_topic_score_codex":0.00015956898,"about_ca_topic_score_gemma":0.00001003213,"teacher_disagreement_score":0.59190446,"about_ca_system_score_codex":0.000056782792,"about_ca_system_score_gemma":0.0000062095833,"threshold_uncertainty_score":0.46886605},"labels":[],"label_agreement":null},{"id":"W1980741511","doi":"10.1029/2000wr900266","title":"Longitudinal profiles in simple alluvial systems","year":2001,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Sediment Transport Processes","field":"Environmental Science","cited_by":105,"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":"Aggradation; Alluvium; Geology; Hydrology (agriculture); Sediment; Geomorphology; Homogeneous; Scale (ratio); Geotechnical engineering; Mathematics; Geography; Cartography; Fluvial; Structural basin","score_opus":0.05106542365742153,"score_gpt":0.3134867667481939,"score_spread":0.26242134309077236,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1980741511","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9782054,0.00010472499,0.000020111938,0.0004283982,0.00003267581,0.0002789291,0.0000018371254,0.00003320567,0.02089472],"genre_scores_gemma":[0.9958742,0.000038827602,0.000011692738,0.000026397614,0.0000832211,0.000082522834,0.00001669552,0.000012634417,0.0038538002],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9977433,0.00020945694,0.00021586004,0.00039156174,0.0006545921,0.0007852346],"domain_scores_gemma":[0.9995935,0.000053916556,0.000012578779,0.00021619673,0.000012153516,0.00011165111],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0013054066,0.00010805464,0.00014232741,0.00013004786,0.00023135926,0.00005802372,0.00041114035,0.00010245032,0.005436399],"category_scores_gemma":[0.000017334589,0.00007308732,0.000026441978,0.0003255744,0.00039384712,0.00018249596,0.00018012227,0.0003622401,0.0021099076],"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":[0.00016139643,0.00012532841,0.9861235,0.000025453153,0.0000071113345,0.00033483637,0.0027584943,0.004580467,0.0045091324,0.000016223643,0.0007491156,0.000608942],"study_design_scores_gemma":[0.0008146154,0.00030461207,0.21704355,0.00003087606,0.0000049576042,0.00005666422,0.00045841024,0.0030667868,0.0071925716,0.0007857284,0.76993084,0.00031041272],"about_ca_topic_score_codex":0.0027006234,"about_ca_topic_score_gemma":0.00084251486,"teacher_disagreement_score":0.7691817,"about_ca_system_score_codex":0.00007553442,"about_ca_system_score_gemma":0.000005151802,"threshold_uncertainty_score":0.99866706},"labels":[],"label_agreement":null},{"id":"W1981206091","doi":"10.1029/2000wr900259","title":"Environmental controls of the seasonal variation in oxygen uptake in sulfidic tailings deposited in a permafrost‐affected area","year":2001,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Mine drainage and remediation techniques","field":"Environmental Science","cited_by":44,"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":"Tailings; Pyrite; Oxygen; Sulfide; Sulfide minerals; Permafrost; Acid mine drainage; Environmental chemistry; Limiting oxygen concentration; Geology; Environmental science; Mineralogy; Chemistry","score_opus":0.015724163052257836,"score_gpt":0.2541823533449626,"score_spread":0.23845819029270476,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1981206091","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99783844,0.000052648156,0.000012823818,0.00043375307,0.000009529521,0.0006751291,0.000012827638,0.000011465286,0.0009533784],"genre_scores_gemma":[0.9992651,0.000041348216,0.00003523562,0.000047038913,0.000015287009,0.00008735042,0.000026628155,0.000011977441,0.0004700511],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99760175,0.00053055666,0.00034429616,0.00029812436,0.0007644286,0.00046081762],"domain_scores_gemma":[0.9995684,0.0000829141,0.0000455062,0.00024135303,0.0000073899905,0.00005444475],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014886174,0.00010925621,0.00016370579,0.00025631615,0.00006963065,0.000028445747,0.0003899524,0.000112947855,0.00077342364],"category_scores_gemma":[0.00010224321,0.000069865055,0.0000437953,0.0006255343,0.00022336439,0.00013007273,0.00032684064,0.00038749614,0.000042152027],"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":[0.000075842014,0.00015283594,0.3556397,0.0000053508434,0.000002129877,0.00002646973,0.0059175235,0.0001993214,0.6374631,0.000001575473,0.00002659303,0.00048956287],"study_design_scores_gemma":[0.000835388,0.000061208186,0.9455864,0.0000378562,0.0000015081393,0.00000553587,0.00027326553,0.0046741683,0.04671185,0.0001407109,0.0015832696,0.00008885086],"about_ca_topic_score_codex":0.0022732473,"about_ca_topic_score_gemma":0.002238395,"teacher_disagreement_score":0.59075123,"about_ca_system_score_codex":0.00032728596,"about_ca_system_score_gemma":0.0000073156025,"threshold_uncertainty_score":0.8468446},"labels":[],"label_agreement":null},{"id":"W1981741123","doi":"10.1029/2000wr900040","title":"Regional flood quantile estimation under linear transformation of the data","year":2000,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Drought Analysis","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Moncton","funders":"","keywords":"Quantile; Estimator; Mean squared error; Statistics; Flood myth; Mathematics; Context (archaeology); Quantile regression; Econometrics; Geography","score_opus":0.07567116421124324,"score_gpt":0.3375064378320011,"score_spread":0.26183527362075787,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1981741123","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98582315,0.000017586906,0.00022560435,0.0029454154,0.000007551241,0.00011747286,0.00000763933,0.000009536275,0.010846031],"genre_scores_gemma":[0.99668115,0.000017549897,0.0001726923,0.000075361655,0.000022363332,0.0000051140064,0.00006530913,0.0000052758587,0.0029552057],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99845135,0.00029035608,0.00017615885,0.00020164314,0.0006371476,0.00024337029],"domain_scores_gemma":[0.9993055,0.000045499164,0.000015937201,0.0005857127,0.0000098433475,0.00003754908],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001105184,0.000056239445,0.00007922702,0.00004293565,0.00028092618,0.000017075843,0.00072990614,0.00006551825,0.008452497],"category_scores_gemma":[0.000013354418,0.000030599283,0.00003834499,0.0002954984,0.00042659396,0.00025188897,0.00019069387,0.00019869205,0.0012645194],"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":[0.0007905406,0.0008536455,0.036525756,0.000100740974,0.00023414103,0.0000092416885,0.05589731,0.7489595,0.03895512,0.00037930364,0.018049872,0.09924486],"study_design_scores_gemma":[0.00051520526,0.000090385525,0.022679226,0.000021238367,0.00003652102,0.000011951507,0.0003319834,0.6957925,0.022377055,0.003305545,0.25467655,0.00016187728],"about_ca_topic_score_codex":0.00088596536,"about_ca_topic_score_gemma":0.00027472404,"teacher_disagreement_score":0.23662667,"about_ca_system_score_codex":0.000023970782,"about_ca_system_score_gemma":0.0000047393028,"threshold_uncertainty_score":0.9995131},"labels":[],"label_agreement":null},{"id":"W1981756763","doi":"10.1029/2010wr010177","title":"Saturated‐unsaturated flow to a well with storage in a compressible unconfined aquifer","year":2011,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Groundwater flow and contamination studies","field":"Environmental Science","cited_by":39,"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":"Vanderbilt University; U.S. Department of Energy","keywords":"Piezometer; Aquifer; Vadose zone; Drawdown (hydrology); Aquifer test; Geology; Geotechnical engineering; Flow (mathematics); Compressibility; Hydrology (agriculture); Mechanics; Groundwater; Groundwater recharge; Physics","score_opus":0.047955125289385024,"score_gpt":0.27253540123862147,"score_spread":0.22458027594923644,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1981756763","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9726787,0.00002192849,0.00033913666,0.00031088095,0.000033493234,0.0005005211,0.0000032863468,0.00005062701,0.02606141],"genre_scores_gemma":[0.96841437,0.000002403193,0.00052003795,0.0001280179,0.000022944952,0.00013883055,0.000009359009,0.000024205121,0.03073981],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9972245,0.0003950991,0.00023006907,0.0005240321,0.0008030685,0.00082324335],"domain_scores_gemma":[0.99931675,0.000039786366,0.000019002524,0.00037342272,0.000061037,0.00019000136],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0009161683,0.00019258726,0.00021824938,0.0002656685,0.00024991532,0.00011479002,0.00048062025,0.000074601514,0.0038949607],"category_scores_gemma":[0.000013736915,0.000113396985,0.000027729988,0.00078643626,0.00029356102,0.00019457047,0.0005611699,0.0003777227,0.0032272993],"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":[0.003944376,0.0012140161,0.43853477,0.00010965636,0.00018383283,0.0013984663,0.31813848,0.004270988,0.17828529,0.000038966948,0.016044233,0.037836935],"study_design_scores_gemma":[0.0023444223,0.0010615392,0.54965466,0.00012511715,0.000011921166,0.000022858747,0.0046812827,0.00346438,0.078922085,0.00008588074,0.35887137,0.0007544803],"about_ca_topic_score_codex":0.005175536,"about_ca_topic_score_gemma":0.0039796857,"teacher_disagreement_score":0.34282714,"about_ca_system_score_codex":0.00016501234,"about_ca_system_score_gemma":0.0000075613357,"threshold_uncertainty_score":0.9975488},"labels":[],"label_agreement":null},{"id":"W1982215158","doi":"10.1002/2013wr013935","title":"LiDAR‐derived snowpack data sets from mixed conifer forests across the Western United States","year":2014,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":116,"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":"U.S. Department of Agriculture; National Science Foundation","keywords":"Snowpack; Lidar; Snow; Watershed; Environmental science; Vegetation (pathology); Drainage basin; Structural basin; Remote sensing; Hydrology (agriculture); Physical geography; Geology; Geography; Geomorphology; Cartography","score_opus":0.1145965243085511,"score_gpt":0.33735143103585796,"score_spread":0.22275490672730686,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1982215158","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9926389,0.0004016506,0.000052046908,0.005145254,0.00015654262,0.0002794347,0.00089107564,0.000049130307,0.0003860039],"genre_scores_gemma":[0.99271166,0.00014378954,0.000095237505,0.00053205487,0.00027217614,0.0000061078713,0.0046160864,0.00001143609,0.0016114435],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99690455,0.0005928792,0.00026784308,0.0005149967,0.00079395843,0.00092575786],"domain_scores_gemma":[0.99724245,0.0012197688,0.000039895345,0.0011527118,0.00017502926,0.00017015164],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0017363227,0.0001747351,0.00020775934,0.000044107404,0.0012790945,0.00059236214,0.0015714607,0.00007690448,0.0010618726],"category_scores_gemma":[0.00019508756,0.00008924657,0.00003954076,0.00040680217,0.00056372845,0.00019735257,0.0005986644,0.00040657117,0.00097435067],"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":[0.000113520626,0.00002242148,0.95634174,0.000015984011,0.000089455025,0.000012372975,0.014674613,0.0015589021,0.000050126735,0.0000020114808,0.014030654,0.01308818],"study_design_scores_gemma":[0.00022404299,0.000058628204,0.52571553,0.000011057187,0.000004871658,0.0000010280585,0.0019793382,0.01631695,0.000099157405,0.0002084164,0.45528576,0.000095216434],"about_ca_topic_score_codex":0.053109817,"about_ca_topic_score_gemma":0.09545161,"teacher_disagreement_score":0.44125512,"about_ca_system_score_codex":0.000006395974,"about_ca_system_score_gemma":0.000013620788,"threshold_uncertainty_score":0.9998513},"labels":[],"label_agreement":null},{"id":"W1984206053","doi":"10.1029/2006wr005416","title":"Reply to comment by J.‐P. Renaud et al. on “An assessment of the tracer‐based approach to quantifying groundwater contributions to streamflow”","year":2007,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Groundwater flow and contamination studies","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 Waterloo","funders":"","keywords":"Vadose zone; Streamflow; Capillary fringe; Water table; Surface runoff; Hydrology (agriculture); Event (particle physics); Groundwater; TRACER; Geology; Environmental science; Drainage basin; Geography; Geotechnical engineering; Cartography","score_opus":0.0657425072412911,"score_gpt":0.3991378456690453,"score_spread":0.3333953384277542,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1984206053","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.881459,0.000005263906,0.032436542,0.079906315,0.00006267628,0.0013597326,0.000056740217,0.000033037148,0.004680678],"genre_scores_gemma":[0.96898204,8.0597266e-7,0.0013992375,0.025859293,0.00002222962,0.00023967084,0.00003705349,0.000024839952,0.0034348094],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99561584,0.0006649579,0.00042559355,0.0006597445,0.0017463043,0.00088757],"domain_scores_gemma":[0.9984874,0.00018435776,0.000038216807,0.0008060324,0.000116033676,0.00036792568],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005181683,0.00020776951,0.00024174125,0.00020975772,0.0006648997,0.00018256642,0.0007922722,0.00005089719,0.00016251413],"category_scores_gemma":[0.00007545739,0.000121772166,0.000080888545,0.0005077809,0.00017077521,0.000117296615,0.0008151558,0.00036549187,0.000189667],"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":[0.00072032737,0.0037431428,0.045511354,0.000046101042,0.00011187444,0.000012450025,0.043371115,0.009936462,0.3633454,0.00049450307,0.51420903,0.01849821],"study_design_scores_gemma":[0.00041718545,0.0006922278,0.031927563,0.000033778746,0.000005866238,9.820753e-7,0.0013788025,0.0003735521,0.09780453,0.000016727847,0.8671587,0.00019005233],"about_ca_topic_score_codex":0.0034702753,"about_ca_topic_score_gemma":0.00059225416,"teacher_disagreement_score":0.3529497,"about_ca_system_score_codex":0.00061088486,"about_ca_system_score_gemma":0.000011486954,"threshold_uncertainty_score":0.52460414},"labels":[],"label_agreement":null},{"id":"W1984782542","doi":"10.1029/2010wr009582","title":"The role of land use and soils in regulating water flow in small headwater catchments of the Andes","year":2011,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":124,"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","funders":"International Development Research Centre","keywords":"Hydrology (agriculture); Environmental science; Soil water; Infiltration (HVAC); Drainage basin; Evapotranspiration; Wetland; Land use; Water cycle; Surface runoff; Catchment hydrology; STREAMS; Soil science; Geology; Geography; Ecology","score_opus":0.049487587142766735,"score_gpt":0.2602778771208868,"score_spread":0.21079028997812005,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1984782542","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99686813,0.000042926535,3.528544e-7,0.000322669,0.000011681642,0.00024525376,9.172059e-7,0.0000028207376,0.00250526],"genre_scores_gemma":[0.9990475,0.000031584776,0.00004103988,0.000015078024,0.0000049461423,0.000023532251,8.065951e-7,0.0000063412886,0.000829137],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998543,0.00036132004,0.00022159821,0.0001966996,0.0002230428,0.0004543191],"domain_scores_gemma":[0.9996277,0.00006922444,0.00002022027,0.00025086908,0.000009124656,0.000022830855],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00152903,0.000080761114,0.00012498586,0.00007141474,0.00019102871,0.000020682164,0.00030545253,0.000046253826,0.00007317406],"category_scores_gemma":[0.000022666012,0.000031932683,0.000021701851,0.000097407894,0.00076858856,0.00009255778,0.0011654063,0.00017443087,0.00001424498],"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":[0.00010545033,0.00003961794,0.95597386,0.000013203145,0.000011890777,0.000002553033,0.03217953,0.00022722529,0.010498306,0.000004275889,0.000012097232,0.0009320106],"study_design_scores_gemma":[0.00042610138,0.00007153906,0.76771814,0.000037077672,0.0000040180967,9.318616e-7,0.0009590392,0.0007802385,0.22449882,0.0033265208,0.0021019457,0.000075624725],"about_ca_topic_score_codex":0.0075452626,"about_ca_topic_score_gemma":0.005068911,"teacher_disagreement_score":0.21400052,"about_ca_system_score_codex":0.000023938488,"about_ca_system_score_gemma":9.415192e-7,"threshold_uncertainty_score":0.99906355},"labels":[],"label_agreement":null},{"id":"W1986972399","doi":"10.1002/2014wr016168","title":"Impacts of rainfall spatial variability on hydrogeological response","year":2015,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Watershed Management Studies","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":"Global Institute for Water Security","funders":"","keywords":"Groundwater recharge; Hydrogeology; Hydrology (agriculture); Aquifer; Surface runoff; Environmental science; Groundwater; Hydrological modelling; Spatial variability; Drainage basin; Structural basin; Geology; Climatology; Geomorphology; Geography","score_opus":0.05810933514780649,"score_gpt":0.321415794725275,"score_spread":0.2633064595774685,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1986972399","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9715198,0.000005769679,0.00002389828,0.0031560773,0.000036555502,0.00027119773,0.0000025866996,0.000029706742,0.024954353],"genre_scores_gemma":[0.9982054,0.0000032886867,0.000051674913,0.00014342226,0.000034901208,0.000025162604,0.0000033116826,0.000008341068,0.0015244586],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9959697,0.0019240507,0.00022310477,0.00039250992,0.00084181555,0.00064882275],"domain_scores_gemma":[0.9989372,0.0003779901,0.000026465013,0.0004301759,0.000027887676,0.00020030519],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.009495838,0.0001237544,0.00019625026,0.00011340773,0.00018311062,0.000018657818,0.0004407035,0.000108409724,0.0011450384],"category_scores_gemma":[0.000932266,0.000072729206,0.000049767626,0.00018016722,0.0011980854,0.00007023349,0.0012191593,0.00031971795,0.0016026999],"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":[0.015788442,0.0008444514,0.90831906,0.000035309688,0.00009811391,0.00017793104,0.033187,0.0041274116,0.02385284,0.000091731825,0.011696693,0.0017810082],"study_design_scores_gemma":[0.0031063722,0.005837866,0.43735266,0.00003164896,0.00002374627,0.000011141745,0.00068857084,0.0017597326,0.08512574,0.01968194,0.4458321,0.0005484837],"about_ca_topic_score_codex":0.0017086398,"about_ca_topic_score_gemma":0.00009941525,"teacher_disagreement_score":0.47096643,"about_ca_system_score_codex":0.00013492706,"about_ca_system_score_gemma":0.0000061444703,"threshold_uncertainty_score":0.9997681},"labels":[],"label_agreement":null},{"id":"W1989424934","doi":"10.1029/2010wr009800","title":"Spatial organization of process domains in headwater drainage basins of a glaciated foothills region with complex longitudinal profiles","year":2011,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Sediment Transport Processes","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":"Foothills Medical Centre; University of British Columbia","funders":"","keywords":"Geology; Topographic Wetness Index; Colluvium; Geomorphology; Foothills; Drainage basin; Digital elevation model; Lithology; Hydrology (agriculture); Sinuosity; Structural basin; Fluvial; Landform; Physical geography; Alluvium; Cartography; Remote sensing; Landslide; Geography","score_opus":0.051398921059936965,"score_gpt":0.2784874372756846,"score_spread":0.22708851621574763,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1989424934","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99521005,0.000004623632,0.0002725972,0.0001355016,0.0000055110713,0.0004074114,0.0000046750947,0.000018365128,0.0039412845],"genre_scores_gemma":[0.999634,0.000004070337,0.00012862317,0.000012372682,0.000009389562,0.000022059678,0.000036855643,0.00001976696,0.00013281616],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9981614,0.00018327136,0.0003094003,0.00033511323,0.0005785745,0.0004322355],"domain_scores_gemma":[0.99954605,0.00002654836,0.00006467126,0.00020816599,0.00009070707,0.000063866595],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000518942,0.00012622832,0.00022416997,0.00019807188,0.000114164235,0.000009246592,0.000341526,0.00010144339,0.00197425],"category_scores_gemma":[0.000023504017,0.00007990907,0.000019300714,0.00064499537,0.0009051216,0.00017797927,0.00010051981,0.00020539068,0.000032829055],"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":[0.0005310227,0.00036611522,0.9533074,0.00015538684,0.000016621862,0.000057927453,0.027490024,0.00021563185,0.017687304,0.00001596615,0.000013487257,0.00014312066],"study_design_scores_gemma":[0.0008080791,0.0006080956,0.64866865,0.00007935585,0.00000955894,0.000012102981,0.00042493743,0.00016884023,0.34840646,0.00036368516,0.00031588587,0.00013432835],"about_ca_topic_score_codex":0.0023573786,"about_ca_topic_score_gemma":0.0019180574,"teacher_disagreement_score":0.33071917,"about_ca_system_score_codex":0.00004066218,"about_ca_system_score_gemma":0.000014946923,"threshold_uncertainty_score":0.9989381},"labels":[],"label_agreement":null},{"id":"W1989971408","doi":"10.1002/2014wr015898","title":"Testing a simple model of gas bubble dynamics in porous media","year":2015,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Lattice Boltzmann Simulation Studies","field":"Engineering","cited_by":28,"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":"University of Leeds","keywords":"Bubble; Porous medium; Cellular automaton; Porosity; Scale (ratio); Greenhouse gas; Environmental science; Methane; Mechanics; Meteorology; Geology; Computer science; Geotechnical engineering; Physics; Ecology","score_opus":0.14885463483004052,"score_gpt":0.33847620160009906,"score_spread":0.18962156677005854,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1989971408","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98384297,0.00016413859,0.00019407616,0.000074169155,0.000023514178,0.00015699666,0.000012038332,0.00010118316,0.015430934],"genre_scores_gemma":[0.9986368,0.000005136121,0.0010057259,0.0000043481236,0.000046175308,0.00001991039,0.000012952413,0.000039943858,0.00022905505],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9981945,0.000079504076,0.00030971676,0.00017323486,0.00069819833,0.00054481166],"domain_scores_gemma":[0.99898416,0.00029877562,0.000014504452,0.0002676205,0.0003206355,0.000114307404],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012583404,0.00011257646,0.00021741129,0.00035876007,0.000049111655,0.000037316167,0.0002496253,0.00007105677,0.00000860387],"category_scores_gemma":[0.00044517932,0.000087849025,0.0000209078,0.00041520724,0.00010926207,0.00011409741,0.00026505932,0.00030316995,0.000051428196],"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":[0.000025626468,0.000027420721,0.02302584,0.0000965179,0.000018391553,0.000015383992,0.017772058,0.9545571,0.002461275,0.00006901043,0.00034746126,0.0015838702],"study_design_scores_gemma":[0.00041709878,0.000028648139,0.00056221324,0.000026170852,0.0000026307914,0.0000016608426,0.001981076,0.99053717,0.0019243982,0.003770673,0.00063837366,0.00010986085],"about_ca_topic_score_codex":0.0005022822,"about_ca_topic_score_gemma":0.00049687404,"teacher_disagreement_score":0.035980053,"about_ca_system_score_codex":0.00027988246,"about_ca_system_score_gemma":0.000020143156,"threshold_uncertainty_score":0.35823792},"labels":[],"label_agreement":null},{"id":"W1991753610","doi":"10.1029/2010wr010085","title":"Evaluation of the heat pulse probe method for determining frozen soil moisture content","year":2011,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":42,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Foundation for Climate and Atmospheric Sciences","keywords":"Water content; Soil water; Moisture; Saturation (graph theory); Materials science; Thermal; Atterberg limits; Environmental science; Soil science; Geotechnical engineering; Thermodynamics; Composite material; Mathematics; Geology; Physics","score_opus":0.41490163165761135,"score_gpt":0.38513819014175515,"score_spread":0.029763441515856193,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1991753610","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9918481,0.00038485808,0.00004659488,0.00031198878,0.00011758288,0.00086362724,0.00035549377,0.000008334707,0.006063416],"genre_scores_gemma":[0.99845296,0.00001483179,0.0003971085,0.00006731868,0.00014202904,0.00003664643,0.00020760238,0.0000068248733,0.00067465834],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9971752,0.0008436075,0.00021082419,0.00024354685,0.0010779619,0.00044885284],"domain_scores_gemma":[0.998914,0.00019405108,0.00002939745,0.00030224604,0.00048102313,0.000079298006],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.006605023,0.00009679223,0.00014864617,0.00010131471,0.00030368994,0.000054217126,0.00042171334,0.00007890675,0.0042073266],"category_scores_gemma":[0.00016118448,0.000047801757,0.00008653275,0.00013632755,0.00013180384,0.00008730042,0.000065714295,0.00018874768,0.000046635745],"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":[0.00053709507,0.000081932434,0.7410204,0.0002191209,0.00009687198,0.000005093074,0.0937485,0.00044717683,0.050106417,0.0000077058785,0.0008489722,0.11288072],"study_design_scores_gemma":[0.0016986605,0.00073146186,0.69375366,0.00016362243,0.00013553794,0.000022519593,0.00675789,0.08709027,0.18589728,0.0031636984,0.020260485,0.00032491182],"about_ca_topic_score_codex":0.023521055,"about_ca_topic_score_gemma":0.030458888,"teacher_disagreement_score":0.13579085,"about_ca_system_score_codex":0.000010976556,"about_ca_system_score_gemma":0.00003262319,"threshold_uncertainty_score":0.99670297},"labels":[],"label_agreement":null},{"id":"W1993161457","doi":"10.1029/1999wr900310","title":"Controls on the distribution of major ions in pore waters of a thick surficial aquitard","year":2000,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Groundwater and Isotope Geochemistry","field":"Earth and Planetary Sciences","cited_by":101,"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":"Alkalinity; Geology; Weathering; Aquifer; Pore water pressure; Ion; Groundwater; Mineralogy; Geochemistry; Environmental chemistry; Chemistry; Geotechnical engineering","score_opus":0.03105854644259374,"score_gpt":0.26394831404143965,"score_spread":0.23288976759884591,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1993161457","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98893917,0.00005174238,7.176206e-7,0.001236913,0.00001879763,0.00024708314,0.00016894181,0.0000068610652,0.009329781],"genre_scores_gemma":[0.9981088,0.000015329586,0.0000027671192,0.00002669656,0.000049976665,0.000004519749,0.0004132785,0.000002994401,0.0013756175],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9980389,0.0003469461,0.0002891832,0.00020311552,0.0006242678,0.00049759285],"domain_scores_gemma":[0.99935853,0.00021816973,0.00002276125,0.00027071376,0.000063619664,0.00006621677],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001481718,0.00009668978,0.00018551119,0.000079132806,0.00014397078,0.00004349256,0.0004190747,0.00008050707,0.0033288742],"category_scores_gemma":[0.000042047377,0.00004860631,0.00006603409,0.00022924793,0.0003525057,0.000057978,0.00002492347,0.0003362611,0.00012528067],"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":[0.0041399808,0.00039805874,0.9168574,0.00027778634,0.00012371448,0.000121022276,0.020988632,0.0045932494,0.025690993,0.00018797495,0.003156169,0.023464983],"study_design_scores_gemma":[0.0020275353,0.0011627685,0.67036945,0.0002570147,0.000019688005,0.000020492858,0.0030599667,0.0024362593,0.22344325,0.0033692967,0.09342057,0.000413692],"about_ca_topic_score_codex":0.0050083892,"about_ca_topic_score_gemma":0.00062789634,"teacher_disagreement_score":0.24648798,"about_ca_system_score_codex":0.000008227329,"about_ca_system_score_gemma":0.000018700375,"threshold_uncertainty_score":0.9975822},"labels":[],"label_agreement":null},{"id":"W1994634036","doi":"10.1002/2013wr014588","title":"Climate change impacts on the temperature and magnitude of groundwater discharge from shallow, unconfined aquifers","year":2014,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":192,"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 New Brunswick","funders":"","keywords":"Aquifer; Groundwater; Groundwater recharge; Environmental science; Baseflow; Climate change; Hydrology (agriculture); Groundwater flow; STREAMS; Precipitation; Streamflow; Geology; Drainage basin; Geography; Oceanography","score_opus":0.03532306414836103,"score_gpt":0.2765864957713376,"score_spread":0.24126343162297656,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1994634036","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98066306,0.000034565146,7.4092156e-7,0.009782259,0.000036819754,0.0003710685,0.000010112479,0.000018946794,0.009082449],"genre_scores_gemma":[0.9980874,0.00011965665,0.0000134515585,0.00069839647,0.000092953036,0.000073780175,0.000013930802,0.000015801555,0.00088463724],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99784356,0.000456567,0.00016006196,0.0003773632,0.00050206645,0.0006603758],"domain_scores_gemma":[0.9993329,0.0001786205,0.00002565826,0.00036167062,0.000012108611,0.000089064335],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0015090415,0.0001596853,0.00018411968,0.000076728735,0.00048506883,0.000077613775,0.00038259858,0.000083087005,0.0010801284],"category_scores_gemma":[0.00004551474,0.00007417863,0.00003911089,0.00011032699,0.00073348667,0.000119064716,0.0010020314,0.0003279776,0.0005627118],"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":[0.0012907463,0.0005058582,0.7329652,0.00019300386,0.0002885111,0.000046729736,0.081762664,0.000072424315,0.16799156,0.0009145449,0.007160809,0.006807989],"study_design_scores_gemma":[0.0017280147,0.0015515257,0.7782132,0.00018222195,0.000056611894,0.0000030497185,0.0021007368,0.00056638906,0.09334225,0.0047231466,0.11692732,0.0006055531],"about_ca_topic_score_codex":0.001498623,"about_ca_topic_score_gemma":0.0004422614,"teacher_disagreement_score":0.10976651,"about_ca_system_score_codex":0.000024973036,"about_ca_system_score_gemma":5.5294964e-7,"threshold_uncertainty_score":0.99983305},"labels":[],"label_agreement":null},{"id":"W1995973042","doi":"10.1002/2014wr015519","title":"Hydroclimatic variables and acute gastro‐intestinal illness in <scp>B</scp>ritish <scp>C</scp>olumbia, <scp>C</scp>anada: A time series analysis","year":2014,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Climate Change and Health Impacts","field":"Environmental Science","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Western University; University of Northern British Columbia; Simon Fraser University","funders":"SFU Community Trust Endowment Fund; Simon Fraser University","keywords":"Context (archaeology); Precipitation; Snow; Streamflow; Environmental science; Climatology; Watershed; Geography; Meteorology; Drainage basin; Geology","score_opus":0.027542925337330153,"score_gpt":0.28824666945676275,"score_spread":0.2607037441194326,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1995973042","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97846234,0.00027304472,0.00005810556,0.0004934485,0.00005412307,0.0007504908,0.000101007194,0.0001142331,0.019693201],"genre_scores_gemma":[0.9707677,0.0006629778,0.0009010722,0.00048996723,0.00029506703,0.0002609812,0.00020719031,0.00013342997,0.026281644],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99128836,0.0011683224,0.00089455576,0.0013553121,0.0020176289,0.0032758082],"domain_scores_gemma":[0.9941143,0.0035291328,0.000193266,0.0009187281,0.00008999668,0.0011545895],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0040913057,0.00055355736,0.0010161785,0.00089084584,0.0011057713,0.0008535619,0.0010998733,0.00032035648,0.0006034272],"category_scores_gemma":[0.0038447855,0.00048968394,0.00017295142,0.0020989077,0.0011314262,0.00074361364,0.0016867942,0.0010821138,0.001382992],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000716611,0.0011443661,0.68361133,0.001562578,0.0006642788,0.0013638185,0.14402881,0.00210725,0.06720248,0.000059687354,0.09098238,0.007201336],"study_design_scores_gemma":[0.0058221235,0.0036232471,0.3604868,0.0016880458,0.0010246107,0.0011339397,0.04312154,0.06027167,0.02743385,0.009617998,0.48502347,0.0007526851],"about_ca_topic_score_codex":0.007770027,"about_ca_topic_score_gemma":0.0070013464,"teacher_disagreement_score":0.3940411,"about_ca_system_score_codex":0.0004331984,"about_ca_system_score_gemma":0.00003830168,"threshold_uncertainty_score":0.9997555},"labels":[],"label_agreement":null},{"id":"W1998481008","doi":"10.1029/1999wr900273","title":"A Full‐Bayesian Approach to parameter inference from tracer travel time moments and investigation of scale effects at the Cape Cod Experimental Site","year":2000,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Groundwater flow and contamination studies","field":"Environmental Science","cited_by":59,"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":"","keywords":"Mathematics; Statistics; Range (aeronautics); Bayesian probability; Probability density function; Hydraulic conductivity; Bayesian inference; Geology; Soil science; Engineering","score_opus":0.023496587591187286,"score_gpt":0.26913228098086656,"score_spread":0.24563569338967928,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1998481008","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9973649,0.00008914358,0.000070530055,0.00026088275,0.0000081833605,0.0005185924,0.000012037146,0.000009974068,0.0016657705],"genre_scores_gemma":[0.98699,0.0000046068967,0.00021239727,0.0000713026,0.00001757909,0.00016736262,0.000025405021,0.0000121248,0.012499238],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9980078,0.00034577976,0.00018453956,0.00038954464,0.00070754625,0.0003648185],"domain_scores_gemma":[0.9994254,0.00015535821,0.00001906726,0.0002513508,0.000013391903,0.00013539924],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004349188,0.00013462624,0.00016598571,0.000056617122,0.000329457,0.00008800979,0.0002327072,0.000053376843,0.0011801242],"category_scores_gemma":[0.000010673951,0.00007910571,0.000031314536,0.00016754742,0.00048015875,0.00012734166,0.00038250216,0.00013342434,0.0010047957],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020577105,0.00010501001,0.029304175,0.000015523492,0.000028345783,0.0000022708143,0.10140143,0.00006545655,0.8563295,6.378762e-7,0.00053198123,0.012009899],"study_design_scores_gemma":[0.0006875189,0.00039021962,0.22273903,0.00002856041,0.000012884793,0.0000035994442,0.0012030088,0.0027119704,0.7666962,0.00007789776,0.005235364,0.00021371966],"about_ca_topic_score_codex":0.0013999593,"about_ca_topic_score_gemma":0.00008708463,"teacher_disagreement_score":0.19343485,"about_ca_system_score_codex":0.000097829514,"about_ca_system_score_gemma":0.000002135793,"threshold_uncertainty_score":0.999773},"labels":[],"label_agreement":null},{"id":"W1998862686","doi":"10.1029/2010wr010159","title":"Nearshore human interventions reverse patterns of decline in lake calcium budgets in central Ontario as demonstrated by mass‐balance analyses","year":2011,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Soil and Water Nutrient Dynamics","field":"Environmental Science","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":"Trent University; York University; Ministry of the Environment, Conservation and Parks","funders":"","keywords":"Shore; Hydrology (agriculture); Environmental science; STREAMS; Biota; Water balance; Drainage basin; Geology; Ecology; Oceanography; Geography","score_opus":0.1305463424737679,"score_gpt":0.37052398679142184,"score_spread":0.23997764431765395,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1998862686","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9966346,0.000020501426,0.00003198352,0.0001201374,0.000027535702,0.00025290027,0.00004383741,0.000014310611,0.0028542168],"genre_scores_gemma":[0.99686253,0.000015053287,0.000094351715,0.000028849703,0.000009688103,0.000025868165,0.00011704247,0.00001664701,0.0028299503],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9972941,0.00032386224,0.00052479445,0.00042712266,0.00060905627,0.0008210184],"domain_scores_gemma":[0.999407,0.00002674445,0.000053899916,0.0003313246,0.000023304803,0.00015772687],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008022246,0.00016031368,0.00025314788,0.00024988147,0.00009270141,0.000038806233,0.00057766336,0.00011591687,0.0020191346],"category_scores_gemma":[0.000021227914,0.00012297106,0.00010622437,0.00039503383,0.00032956217,0.00016814779,0.00047484526,0.00052546524,0.000120922836],"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":[0.000096228745,0.0005006419,0.9842713,0.000030380026,0.000012838588,0.00009231897,0.007920246,0.00010847707,0.0066707507,0.0000030922924,0.00017179897,0.00012193806],"study_design_scores_gemma":[0.0009774573,0.00035107683,0.970577,0.00019080203,0.00000937,0.0000044625103,0.0007525911,0.000602562,0.019602554,0.0015710454,0.00513427,0.0002268099],"about_ca_topic_score_codex":0.24445044,"about_ca_topic_score_gemma":0.38220808,"teacher_disagreement_score":0.13775764,"about_ca_system_score_codex":0.00029160056,"about_ca_system_score_gemma":0.000011504028,"threshold_uncertainty_score":0.99889314},"labels":[],"label_agreement":null},{"id":"W1999950568","doi":"10.1002/2014wr016581","title":"Controls on the diurnal streamflow cycles in two subbasins of an alpine headwater catchment","year":2015,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":55,"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","funders":"Natural Sciences and Engineering Research Council of Canada; École Polytechnique Fédérale de Lausanne; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; National Science Foundation","keywords":"Streamflow; Snowmelt; Evapotranspiration; Diurnal cycle; Environmental science; Water cycle; Glacier; Hydrology (agriculture); Meltwater; Climatology; Atmospheric sciences; Drainage basin; Snow; Geology; Geography; Geomorphology; Ecology","score_opus":0.06699214146352805,"score_gpt":0.3479649979122105,"score_spread":0.2809728564486825,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1999950568","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97996765,0.00001798475,0.000003154076,0.007684819,0.000027826516,0.00038084996,0.000003959248,0.000012217608,0.011901557],"genre_scores_gemma":[0.99818754,0.000009576304,0.000028961129,0.00023869354,0.000045704066,0.00006214488,0.0000062794147,0.00001108687,0.0014100312],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99735,0.0007104254,0.0002340104,0.0003089306,0.0007722617,0.0006244226],"domain_scores_gemma":[0.9993557,0.00009764397,0.000025191004,0.00038358543,0.000018258026,0.000119652366],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002865266,0.0001288471,0.00018596608,0.00012726976,0.00019216244,0.000038852042,0.000511578,0.000035520417,0.00042339345],"category_scores_gemma":[0.0000391038,0.00006288116,0.000034931407,0.00015433367,0.00070535694,0.00011689601,0.00056896685,0.00030682655,0.00045999122],"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":[0.00198745,0.0014994678,0.8784853,0.000029255581,0.0001425697,0.00022515422,0.055152103,0.029636502,0.021423213,0.00031925426,0.006589218,0.0045105033],"study_design_scores_gemma":[0.011547504,0.004990364,0.42561564,0.00017026001,0.000049502643,0.000019311969,0.011729684,0.009681673,0.29092497,0.022930328,0.22128992,0.001050839],"about_ca_topic_score_codex":0.0039346297,"about_ca_topic_score_gemma":0.0026809922,"teacher_disagreement_score":0.45286968,"about_ca_system_score_codex":0.000120685116,"about_ca_system_score_gemma":0.000003518771,"threshold_uncertainty_score":0.59480095},"labels":[],"label_agreement":null},{"id":"W2000232274","doi":"10.1002/2014wr015687","title":"<scp>N</scp>orth <scp>A</scp>merican precipitation isotope (δ<sup>18</sup>O) zones revealed in time series modeling across <scp>C</scp>anada and northern <scp>U</scp>nited <scp>S</scp>tates","year":2015,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Groundwater and Isotope Geochemistry","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":"Alberta Innovates; Global Institute for Water Security; University of Saskatchewan; University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada; University of Waterloo; International Atomic Energy Agency; National Science Foundation","keywords":"Environmental science; Climatology; Precipitation; Proxy (statistics); Teleconnection; Latitude; Atmospheric sciences; Physical geography; Geography; Meteorology; Geology; Mathematics; Statistics","score_opus":0.035398794326812484,"score_gpt":0.26748451023318165,"score_spread":0.23208571590636917,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2000232274","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97732085,0.0033958969,0.00008262478,0.00019341357,0.00023041245,0.0020765855,0.00074377336,0.00040465334,0.015551761],"genre_scores_gemma":[0.9243024,0.0006983705,0.0006684122,0.00024062682,0.0008473884,0.00022185556,0.0026701526,0.00020300805,0.070147805],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.98378843,0.0019942531,0.002041108,0.0028706852,0.004055307,0.0052502383],"domain_scores_gemma":[0.98843795,0.0060158675,0.000491157,0.0017082108,0.0012863507,0.0020604904],"candidate_categories":["metaepi_narrow","sts","scholarly_communication","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.0052979463,0.0016288873,0.0017942443,0.0012483749,0.0018610234,0.0028435984,0.0027921936,0.0009706922,0.00010254374],"category_scores_gemma":[0.007539683,0.0013395702,0.0003829583,0.0025653485,0.0015336457,0.0021956172,0.0010661358,0.002529558,0.0015376776],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000090215304,0.0004620789,0.73289967,0.0009955164,0.00044429727,0.00064606935,0.17855999,0.050559323,0.005018269,0.0000056680474,0.02768572,0.0026332159],"study_design_scores_gemma":[0.007014897,0.0026794425,0.07096581,0.0009560685,0.00022078208,0.00062800606,0.20408517,0.14849849,0.0341419,0.003335038,0.5268,0.00067438773],"about_ca_topic_score_codex":0.018211795,"about_ca_topic_score_gemma":0.011289368,"teacher_disagreement_score":0.66193384,"about_ca_system_score_codex":0.00019531292,"about_ca_system_score_gemma":0.00042977423,"threshold_uncertainty_score":0.99977165},"labels":[],"label_agreement":null},{"id":"W2000280992","doi":"10.1029/2010wr010044","title":"Controls on the long‐term downward transport of δ²H of water in a regionally extensive, two‐layered aquitard system","year":2011,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Groundwater and Isotope Geochemistry","field":"Earth and Planetary Sciences","cited_by":44,"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 Saskatchewan","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Geology; Aquifer; Quaternary; Hydrogeology; Geomorphology; Water table; Glacial period; Infiltration (HVAC); Groundwater; Geochemistry; Hydrology (agriculture); Petrology; Paleontology; Geotechnical engineering","score_opus":0.06608885775239874,"score_gpt":0.26133153295411166,"score_spread":0.1952426752017129,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2000280992","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9818509,0.00011736786,0.0000062499016,0.00019048384,0.000043515945,0.00047252193,0.000047761274,0.000015197624,0.017255982],"genre_scores_gemma":[0.9989431,0.000011770967,0.000021899072,0.000039594488,0.000055323857,0.000013590477,0.00007181172,0.000008309207,0.0008346059],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9970902,0.0003335218,0.000512879,0.000376987,0.0009241658,0.00076223916],"domain_scores_gemma":[0.99894863,0.00012286866,0.00005023365,0.0005478275,0.00020712588,0.00012330452],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0019623463,0.00018114323,0.00038012018,0.00022571569,0.00012316466,0.00002886919,0.0007841178,0.00010082439,0.0015072084],"category_scores_gemma":[0.000016979604,0.00008242402,0.00012969505,0.00015999863,0.00044259243,0.00009390551,0.00004759843,0.00038498937,0.00017426042],"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":[0.0027668644,0.00014044323,0.9283627,0.0005374133,0.00009624479,0.00036848322,0.024752786,0.0002325484,0.04129,0.00006386248,0.00012290015,0.001265735],"study_design_scores_gemma":[0.0014170988,0.00057679455,0.68401945,0.00033370033,0.00001612634,0.000045192828,0.0018884953,0.00020579992,0.30955327,0.0002827111,0.0014241043,0.00023722577],"about_ca_topic_score_codex":0.0062017567,"about_ca_topic_score_gemma":0.001413331,"teacher_disagreement_score":0.26826328,"about_ca_system_score_codex":0.000011370749,"about_ca_system_score_gemma":0.000023962684,"threshold_uncertainty_score":0.99940556},"labels":[],"label_agreement":null},{"id":"W2000489959","doi":"10.1002/2013wr013846","title":"Sensitivity of watershed attributes to spatial resolution and interpolation method of LiDAR DEMs in three distinct landscapes","year":2014,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":47,"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 Lethbridge; Dalhousie University","funders":"Atlantic Canada Opportunities Agency; Wilfrid Laurier University","keywords":"Inverse distance weighting; Digital elevation model; Watershed; Remote sensing; Lidar; Kriging; Elevation (ballistics); Scale (ratio); Scaling; Interpolation (computer graphics); Image resolution; Hydrology (agriculture); Geography; Multivariate interpolation; Geology; Cartography; Geometry; Mathematics; Statistics","score_opus":0.02920837844510719,"score_gpt":0.2985712851005331,"score_spread":0.2693629066554259,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2000489959","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9806781,0.0000074759505,0.017002072,0.0011247761,0.000014454657,0.00023565251,0.000004025291,0.000008747291,0.00092472514],"genre_scores_gemma":[0.99898845,0.0000028505922,0.0008715706,0.00001244304,0.00002056742,0.000012841959,0.000007842537,0.0000063679117,0.00007704056],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99801105,0.0008130172,0.00022511228,0.00027832776,0.00033261825,0.00033985698],"domain_scores_gemma":[0.9994606,0.00026514498,0.000032139014,0.00017136417,0.000019932106,0.000050867817],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004522162,0.00008952576,0.00021089178,0.00018317641,0.00010636763,0.000012397298,0.00012133751,0.000060314636,0.0000750584],"category_scores_gemma":[0.000192877,0.00006028848,0.000023985729,0.00016596893,0.00024800832,0.000077381264,0.0007767555,0.00014068051,0.000031563508],"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":[0.00029938095,0.00004964396,0.91560143,0.000048181246,0.000016953038,0.000003261512,0.006165489,0.0013344776,0.071125224,0.000020931528,0.00007708341,0.005257918],"study_design_scores_gemma":[0.00042204303,0.00032768855,0.9128976,0.00003681066,0.0000087908875,0.0000016435922,0.00015479689,0.03527055,0.046023335,0.0014341953,0.0033123395,0.00011022446],"about_ca_topic_score_codex":0.007902828,"about_ca_topic_score_gemma":0.0109289605,"teacher_disagreement_score":0.033936072,"about_ca_system_score_codex":0.000029907289,"about_ca_system_score_gemma":8.80986e-7,"threshold_uncertainty_score":0.99870366},"labels":[],"label_agreement":null},{"id":"W2001676017","doi":"10.1029/2000wr900368","title":"Artificial neural network modeling of water table depth fluctuations","year":2001,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrological Forecasting Using AI","field":"Environmental Science","cited_by":443,"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; University of Waterloo; Hydro-Québec; Institut National de la Recherche Scientifique","funders":"Northwestern University; Rockefeller Foundation","keywords":"Recurrent neural network; Artificial neural network; Water table; Computer science; Aquifer; Hydrometeorology; Groundwater; Water level; Table (database); Calibration; Probabilistic neural network; Probabilistic logic; Artificial intelligence; Hydrology (agriculture); Data mining; Machine learning; Time delay neural network; Statistics; Geology; Geotechnical engineering; Mathematics; Meteorology; Geography","score_opus":0.10980942485369294,"score_gpt":0.3242874505308015,"score_spread":0.21447802567710855,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2001676017","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9852761,0.000014228597,0.00041698242,0.0006642275,0.00004929592,0.00018328364,0.0000012304567,0.000048861453,0.013345773],"genre_scores_gemma":[0.9973157,0.0000034127365,0.00045560236,0.00005258021,0.00018771685,0.000017791193,0.000014404423,0.00002114886,0.0019316514],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9970725,0.00029709633,0.0003222364,0.00037439787,0.00083672145,0.0010970031],"domain_scores_gemma":[0.99941176,0.000061174396,0.000017536555,0.00033213105,0.000036594745,0.00014082938],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0017521898,0.00011957998,0.00016334397,0.00007747178,0.0005296941,0.00008245436,0.00044408315,0.00009532257,0.0035693392],"category_scores_gemma":[0.00007277722,0.00006891634,0.000052643278,0.0003828963,0.00039843807,0.00012886352,0.0006734113,0.0003807378,0.0011661244],"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":[0.00006120068,0.00006364855,0.0046641002,0.0000036751517,0.000005139974,0.000015492893,0.0016094712,0.9466223,0.044289067,0.0000060353627,0.00028424835,0.0023755797],"study_design_scores_gemma":[0.00008848622,0.00016170667,0.00035928708,0.000011228004,0.0000049995947,0.000013076662,0.00003823661,0.9626286,0.014021762,0.004236508,0.018299595,0.00013651591],"about_ca_topic_score_codex":0.0014247036,"about_ca_topic_score_gemma":0.00023210776,"teacher_disagreement_score":0.030267306,"about_ca_system_score_codex":0.00007453206,"about_ca_system_score_gemma":0.0000032401122,"threshold_uncertainty_score":0.99961156},"labels":[],"label_agreement":null},{"id":"W2002848833","doi":"10.1029/2011wr011393","title":"Comment on “Evaporation from soils under thermal boundary conditions: Experimental and modeling investigation to compare equilibrium and nonequilibrium based approaches,” by Kathleen M. Smits, Abdullah Cihan, Toshihiro Sakaki, and Tissa H. Illangasekare","year":2012,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Soil and Unsaturated Flow","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Non-equilibrium thermodynamics; Thermodynamics; Evaporation; Soil water; Boundary (topology); Thermal; Materials science; Environmental science; Physics; Soil science; Mathematics","score_opus":0.09272163734484208,"score_gpt":0.29289206160350095,"score_spread":0.20017042425865889,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2002848833","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9935598,0.0031232326,0.00013610636,0.0020431846,0.000058481324,0.00046919176,0.00016140038,0.00011705792,0.00033153823],"genre_scores_gemma":[0.9980911,0.000010524087,0.00019411348,0.0004726348,0.0001721463,0.0001056376,0.0008650543,0.00005404911,0.00003470907],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9981633,0.00022527494,0.0002404722,0.0003534791,0.00044901078,0.00056846824],"domain_scores_gemma":[0.99919873,0.000110289504,0.00001731904,0.00023381157,0.000045902696,0.00039395472],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00042713206,0.00024517803,0.00021790553,0.00019342423,0.00024366796,0.00036323338,0.00011416835,0.00011505398,0.000043620235],"category_scores_gemma":[0.000011640897,0.00020179882,0.000021275127,0.00012310818,0.0001704915,0.00032223784,0.00014668985,0.00034630712,0.000018003668],"study_design_candidate":"bench_or_experimental","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":[0.000609656,0.0002646881,0.015896894,0.00035883914,0.00023209506,0.0000120856,0.041167356,0.07385386,0.84676266,0.000107248,0.018483106,0.0022515382],"study_design_scores_gemma":[0.0014657706,0.00021707971,0.002939357,0.00018609052,0.000022200202,0.0000048123893,0.004765053,0.76713437,0.2152823,0.00019323906,0.007202425,0.0005873231],"about_ca_topic_score_codex":0.00033181565,"about_ca_topic_score_gemma":0.000015304535,"teacher_disagreement_score":0.6932805,"about_ca_system_score_codex":0.0001025637,"about_ca_system_score_gemma":0.000010788391,"threshold_uncertainty_score":0.8229117},"labels":[],"label_agreement":null},{"id":"W2005588768","doi":"10.1002/2013wr014970","title":"A new selection metric for multiobjective hydrologic model calibration","year":2014,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Water resources management and optimization","field":"Engineering","cited_by":55,"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":"Natural Sciences and Engineering Research Council of Canada","keywords":"Metric (unit); Pareto principle; Benchmark (surveying); Mathematical optimization; Selection (genetic algorithm); Multi-objective optimization; Calibration; Regular polygon; Convex hull; Computer science; Optimization problem; Mathematics; Statistics; Artificial intelligence; Engineering; Geometry","score_opus":0.0356512985689151,"score_gpt":0.27766200370197347,"score_spread":0.24201070513305836,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2005588768","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.21895503,0.000047305286,0.77323574,0.00016475275,0.000060686158,0.0007776099,0.000002368984,0.00042345157,0.0063330494],"genre_scores_gemma":[0.98533124,0.000011801417,0.0077678463,0.000024518613,0.00029792718,0.00014962404,0.000055567663,0.000055551453,0.006305944],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99844605,0.00012167407,0.00019776968,0.0002892659,0.00038393404,0.00056130823],"domain_scores_gemma":[0.99953026,0.000079731086,0.000015110145,0.00017378764,0.00009360166,0.00010753823],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00080048916,0.00014885448,0.00014907618,0.00073663687,0.00023925319,0.0002144395,0.00023026275,0.00011757397,0.000049275826],"category_scores_gemma":[0.00006161298,0.00011320822,0.00006124863,0.0005106586,0.000028975814,0.00023484231,0.000076879034,0.00021715643,0.000052201212],"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":[0.000053762935,0.000012268028,0.00018133229,0.00005749631,0.000028070863,1.9236222e-7,0.0018554126,0.98742956,0.0033560842,0.00011842376,0.0026991162,0.004208278],"study_design_scores_gemma":[0.00050276704,0.00013468838,0.00005309312,0.0000066056086,0.000010351461,5.5736706e-7,0.00003232764,0.9493713,0.017806226,0.0021494748,0.029786754,0.00014590396],"about_ca_topic_score_codex":0.00007877386,"about_ca_topic_score_gemma":0.000027639679,"teacher_disagreement_score":0.7663762,"about_ca_system_score_codex":0.00010533452,"about_ca_system_score_gemma":0.000004978971,"threshold_uncertainty_score":0.46164972},"labels":[],"label_agreement":null},{"id":"W2006746875","doi":"10.1002/2013wr014228","title":"Retracted: Reliable probabilistic forecasts from an ensemble reservoir inflow forecasting system","year":2013,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":0,"is_retracted":true,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Inflow; Probabilistic logic; Probabilistic forecasting; Ensemble forecasting; Environmental science; Computer science; Econometrics; Meteorology; Artificial intelligence; Economics; Geography","score_opus":0.05203349993447211,"score_gpt":0.27739390472583325,"score_spread":0.22536040479136116,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2006746875","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9464547,0.000028426006,0.000026703256,0.0010557631,0.000091703376,0.00093773165,0.000004951546,0.00015467063,0.05124535],"genre_scores_gemma":[0.9911221,0.0000059340605,0.0006195083,0.000087387976,0.00017659765,0.00036547633,0.000042898006,0.00004168658,0.0075383936],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99593174,0.00050871266,0.00039314342,0.00081300165,0.0010083899,0.0013450221],"domain_scores_gemma":[0.9986542,0.00018401883,0.000052347892,0.00077734754,0.000071306546,0.0002608033],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.002057324,0.00024166034,0.00028306607,0.00015977967,0.0010370746,0.0002640267,0.0008258145,0.0002216651,0.0024025675],"category_scores_gemma":[0.0001488679,0.00016205515,0.000056706507,0.0003451371,0.00055216864,0.00071945484,0.0015309566,0.00072294165,0.006029833],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011109188,0.0011316279,0.6426035,0.0010257475,0.0005338242,0.00084612763,0.080638394,0.05405316,0.06683076,0.0002753004,0.12487326,0.026077397],"study_design_scores_gemma":[0.0031385534,0.0025308137,0.12998606,0.00064657885,0.000120948476,0.00006296242,0.01096009,0.37485686,0.032267597,0.03462969,0.40843734,0.0023624785],"about_ca_topic_score_codex":0.015259134,"about_ca_topic_score_gemma":0.0008776857,"teacher_disagreement_score":0.5126174,"about_ca_system_score_codex":0.000284588,"about_ca_system_score_gemma":0.00000441556,"threshold_uncertainty_score":0.99850935},"labels":[],"label_agreement":null},{"id":"W2007031099","doi":"10.1029/2007wr006727","title":"Comment on “Shape factors for constant‐head double‐packer permeameters” by S. A. Mathias and A. P. Butler","year":2008,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Groundwater flow and contamination studies","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Royal Military College of Canada; Polytechnique Montréal","funders":"","keywords":"Constant (computer programming); Laplace transform; Head (geology); Hydraulic head; Mathematics; Boundary value problem; Hydraulic conductivity; Laplace's equation; Boundary (topology); Geology; Mathematical analysis; Calculus (dental); Geotechnical engineering; Computer science; Soil science","score_opus":0.0894139330648956,"score_gpt":0.3185440513303907,"score_spread":0.22913011826549512,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2007031099","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9917953,0.00007927092,0.00007021348,0.0048334883,0.000039198698,0.00054155325,0.000034436933,0.000030491896,0.002576026],"genre_scores_gemma":[0.9819133,0.00005062104,0.000052853517,0.00065681065,0.000023060999,0.00012355742,0.0000338479,0.000021938855,0.017123973],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99783933,0.0001269894,0.00019509839,0.0004402318,0.0007498624,0.0006484791],"domain_scores_gemma":[0.9993517,0.0002038747,0.000021363065,0.00023477129,0.000035314537,0.00015298823],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005730664,0.0001783641,0.00019464339,0.00008903727,0.0008667579,0.000098601,0.00023735277,0.000071279515,0.0007280889],"category_scores_gemma":[0.00001868773,0.000111741654,0.00005312042,0.000102538586,0.00081858924,0.000120859106,0.00037266227,0.00021283953,0.00036239956],"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":[0.0013287463,0.0008753665,0.2565501,0.00011234506,0.0001991976,0.000057985573,0.107522644,0.000018993796,0.054678444,0.00024212543,0.5602967,0.018117337],"study_design_scores_gemma":[0.0012136864,0.0003942327,0.008709538,0.00001316385,0.0000052689998,0.00000690351,0.0016603498,0.00014755878,0.024502752,0.000056958128,0.963088,0.00020163068],"about_ca_topic_score_codex":0.00048006015,"about_ca_topic_score_gemma":0.00003769924,"teacher_disagreement_score":0.40279126,"about_ca_system_score_codex":0.00013611083,"about_ca_system_score_gemma":0.0000030143124,"threshold_uncertainty_score":0.7972063},"labels":[],"label_agreement":null},{"id":"W2007443177","doi":"10.1029/2009wr009028","title":"Reply to comment by Jack Lewis et al. on “Forests and floods: A new paradigm sheds light on age‐old controversies”","year":2010,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":43,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Pacific Institute for Climate Solutions; University of Victoria; BC Hydro (Canada); Geoscience BC; University of British Columbia","funders":"","keywords":"Flood myth; Storm; Plot (graphics); Construct (python library); Set (abstract data type); Geography; Hydrology (agriculture); History; Sociology; Meteorology; Mathematics; Geology; Computer science; Statistics; Archaeology","score_opus":0.02160430281797307,"score_gpt":0.2945282085252895,"score_spread":0.2729239057073164,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2007443177","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.62125814,0.000012191699,0.000006888527,0.35960922,0.00006889589,0.000467783,0.000005361316,0.00003401921,0.01853753],"genre_scores_gemma":[0.8736864,0.00004808404,0.00007365298,0.103046626,0.000054911816,0.0000775022,0.000014522308,0.00002688899,0.022971459],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.997178,0.00028179356,0.00020058866,0.0007057031,0.0007733223,0.00086058694],"domain_scores_gemma":[0.9987876,0.00025075334,0.000024221747,0.0005921098,0.000006830957,0.00033850086],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0015260311,0.00022326471,0.00023978492,0.00015003028,0.00049779634,0.0001565228,0.0004924607,0.00008223869,0.0010790369],"category_scores_gemma":[0.000116017596,0.00014817218,0.000045635436,0.00013208023,0.00039892664,0.000116534655,0.0010661335,0.00069177366,0.0019599646],"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":[0.0003894233,0.00014201355,0.011738624,0.0000066833472,0.000053610984,0.00006327954,0.008075666,0.000110899644,0.0047880546,0.00022742788,0.9734715,0.0009327741],"study_design_scores_gemma":[0.00077558967,0.0008484939,0.004884165,0.000015350539,0.0000067257415,0.0000018257102,0.00009857818,0.000040975483,0.009454641,0.0012228508,0.98246264,0.00018814205],"about_ca_topic_score_codex":0.003004883,"about_ca_topic_score_gemma":0.0007219335,"teacher_disagreement_score":0.2565626,"about_ca_system_score_codex":0.0000756657,"about_ca_system_score_gemma":0.000002510225,"threshold_uncertainty_score":0.9998341},"labels":[],"label_agreement":null},{"id":"W2011458597","doi":"10.1029/1999wr900271","title":"Five centuries of interannual sediment yield and rainfall‐induced erosion in the Canadian High Arctic recorded in lacustrine varves","year":2000,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Geology and Paleoclimatology Research","field":"Earth and Planetary Sciences","cited_by":125,"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":"Varve; Sediment; Erosion; Geology; Arctic; Physical geography; Hydrology (agriculture); Storm; Environmental science; Flood myth; Climatology; Oceanography; Geomorphology; Geography","score_opus":0.03582503781171284,"score_gpt":0.2721158396660484,"score_spread":0.23629080185433557,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2011458597","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98932815,0.00020955138,1.6487125e-8,0.005357762,0.000032434797,0.00034178782,0.000023041193,0.0000036177785,0.0047036237],"genre_scores_gemma":[0.9987124,0.00013237064,0.000013783782,0.00010651412,0.000027248392,0.000008710907,0.00007465375,0.0000026696625,0.00092161883],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9973119,0.0009469678,0.0002583369,0.00028962787,0.00040817127,0.0007849995],"domain_scores_gemma":[0.9988526,0.00071269635,0.000015471445,0.00021732243,0.000064024694,0.00013787692],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00263649,0.00011050843,0.00020385218,0.00053487974,0.00025718234,0.00007388023,0.00042512585,0.0001617579,0.006160196],"category_scores_gemma":[0.00013556199,0.00006408742,0.000022904744,0.00037709106,0.0004739774,0.00011073431,0.000037088044,0.0008361592,0.00012718173],"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":[0.0003043753,0.000022984568,0.9842958,0.000033789933,0.0000081525495,0.000104588886,0.013628303,0.000067958994,0.000035279725,0.000011421393,0.00009972272,0.0013876118],"study_design_scores_gemma":[0.00052441657,0.000408723,0.99194854,0.00007513971,0.000002245984,0.000032981025,0.002110649,0.00025937147,0.0004344365,0.000906836,0.0031987648,0.000097863376],"about_ca_topic_score_codex":0.68156177,"about_ca_topic_score_gemma":0.945453,"teacher_disagreement_score":0.26389122,"about_ca_system_score_codex":0.000007611559,"about_ca_system_score_gemma":0.000059913316,"threshold_uncertainty_score":0.9947483},"labels":[],"label_agreement":null},{"id":"W2019650838","doi":"10.1029/1999wr900291","title":"Identifying the conditions amenable to the determination of solute concentrations with time domain reflectometry","year":2000,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":11,"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; University of Waterloo","funders":"","keywords":"Reflectometry; Electrical resistivity and conductivity; Conductivity; Soil water; Materials science; Soil science; Volume (thermodynamics); Time domain; Analytical Chemistry (journal); Environmental science; Chemistry; Thermodynamics; Environmental chemistry; Physics","score_opus":0.0416713647303176,"score_gpt":0.3533647113959031,"score_spread":0.31169334666558546,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2019650838","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9839804,0.000038834507,0.004686405,0.0016479109,0.000010037856,0.0005184836,0.000021386206,0.000051781582,0.009044733],"genre_scores_gemma":[0.9932952,0.000010130171,0.0030651435,0.00003280841,0.000087896384,0.00026883173,0.000012290759,0.000017832883,0.0032098738],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.99885327,0.00017953431,0.00014543366,0.00013079331,0.00036097862,0.0003300088],"domain_scores_gemma":[0.9992748,0.00021594888,0.000009352677,0.00035149654,0.00008919003,0.000059241585],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00061086926,0.00007145152,0.00008804203,0.00008620973,0.0004756408,0.00011632369,0.00032802444,0.000026904356,0.0005018056],"category_scores_gemma":[0.000012944608,0.000034583496,0.000029677298,0.0006522379,0.00016659002,0.00006708497,0.00004133295,0.00022244429,0.0004897558],"study_design_candidate":"bench_or_experimental","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":[0.000044039287,0.000105320796,0.00008174679,0.00007950235,0.000083662824,0.0000042377733,0.02138947,0.010806179,0.9324906,0.0014109744,0.0045162532,0.02898803],"study_design_scores_gemma":[0.0007101246,0.00034999073,0.008560879,0.00017096747,0.000052755233,0.000017606997,0.0026709028,0.026148869,0.2753687,0.018340306,0.6671288,0.00048006722],"about_ca_topic_score_codex":0.000052011506,"about_ca_topic_score_gemma":0.000021403914,"teacher_disagreement_score":0.66261256,"about_ca_system_score_codex":0.000029717354,"about_ca_system_score_gemma":0.0000061392907,"threshold_uncertainty_score":0.62949836},"labels":[],"label_agreement":null},{"id":"W2019780553","doi":"10.1029/2001wr000311","title":"Bayesian Estimation of change points using the general linear model","year":2001,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Statistical Methods and Inference","field":"Mathematics","cited_by":38,"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 Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada; University of Manitoba","keywords":"Bayesian probability; Bayesian linear regression; Linear model; Point estimation; General linear model; Computer science; Bayes estimator; Econometrics; Point (geometry); Change detection; Basis (linear algebra); Mathematics; Statistics; Posterior probability; Bayesian inference; Artificial intelligence","score_opus":0.5207046783449999,"score_gpt":0.5122295449062391,"score_spread":0.008475133438760829,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2019780553","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.65375656,0.000017878934,0.3443381,0.00045690342,0.000014386613,0.00023316,0.0000073311817,0.000013739754,0.0011619412],"genre_scores_gemma":[0.653812,0.000010389801,0.34536526,0.000039875365,0.00013264029,0.000025322177,0.0000022879017,0.00002021933,0.0005920035],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9980903,0.00046633458,0.00025429373,0.00017268486,0.0006103581,0.0004060006],"domain_scores_gemma":[0.99889517,0.00046411747,0.000035736455,0.00035088146,0.00018090014,0.000073200565],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020472284,0.00008915189,0.00016311047,0.000120933444,0.00019246496,0.000042096977,0.0002889353,0.00006359623,0.00019493852],"category_scores_gemma":[0.00068051467,0.000046948113,0.00004048839,0.00019466637,0.00020952048,0.000058735386,0.0001883137,0.0002569129,0.000015657892],"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":[0.0013550523,0.0015955697,0.0069103753,0.0021350768,0.0003449599,0.00018601764,0.17554992,0.040645123,0.10956506,0.313429,0.0025427055,0.34574112],"study_design_scores_gemma":[0.0001007714,0.000043524182,0.00006125249,0.000037335525,0.0000061528935,0.000005538451,0.000087079956,0.8035784,0.0058767684,0.18982773,0.00032070203,0.000054778004],"about_ca_topic_score_codex":0.0002641872,"about_ca_topic_score_gemma":0.000007122489,"teacher_disagreement_score":0.76293325,"about_ca_system_score_codex":0.00003057692,"about_ca_system_score_gemma":0.000012099659,"threshold_uncertainty_score":0.21344401},"labels":[],"label_agreement":null},{"id":"W2020748438","doi":"10.1002/2013wr014849","title":"Incorporating spatial dependence in regional frequency analysis","year":2014,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Regional Economic and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":30,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Environment and Climate Change Canada","funders":"Environment Canada","keywords":"Environmental science; Frequency analysis; Spatial dependence; Geology; Remote sensing; Statistics; Mathematics","score_opus":0.07868908427463353,"score_gpt":0.2807735009548897,"score_spread":0.20208441668025615,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2020748438","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9707473,0.00029470908,0.005638026,0.0021859987,0.000038588096,0.00013025758,0.000012075498,0.00003112404,0.020921918],"genre_scores_gemma":[0.9978985,0.00004530492,0.00042802197,0.0001282003,0.00020687802,0.00004146952,0.0000413217,0.000024372488,0.0011859203],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9975235,0.00019133936,0.0007923352,0.0007002943,0.00018269321,0.0006098356],"domain_scores_gemma":[0.99899167,0.00015729423,0.00014916678,0.0004788088,0.000077225835,0.00014585866],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0036404603,0.00015305092,0.0005511273,0.0018138208,0.00022800842,0.00016855089,0.00060067064,0.00013314105,0.0006152972],"category_scores_gemma":[0.0001594653,0.00013560835,0.00023482608,0.0010559795,0.00022238886,0.00020234527,0.00019556795,0.00042987263,0.0014653848],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003714318,0.00008631719,0.9348327,0.000018837018,0.0002602035,0.000015489839,0.001764598,0.0040484937,0.00012491012,0.05650632,0.00010571121,0.0021992926],"study_design_scores_gemma":[0.0010357562,0.0002102929,0.2787478,0.000031356663,0.000038817816,0.0000058024607,0.00036004404,0.2347864,0.00032804668,0.4088028,0.07483771,0.0008151557],"about_ca_topic_score_codex":0.036905985,"about_ca_topic_score_gemma":0.009668831,"teacher_disagreement_score":0.6560849,"about_ca_system_score_codex":0.00016889533,"about_ca_system_score_gemma":0.00001349687,"threshold_uncertainty_score":0.9993121},"labels":[],"label_agreement":null},{"id":"W2022533674","doi":"10.1002/2013wr014578","title":"Apparent directional mass-transfer capacity coefficients in three-dimensional anisotropic heterogeneous aquifers under radial convergent transport","year":2014,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Groundwater flow and contamination studies","field":"Environmental Science","cited_by":41,"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 British Columbia","funders":"Ministerio de Ciencia e Innovación; Institució Catalana de Recerca i Estudis Avançats; National Science Foundation","keywords":"Hydraulic conductivity; Anisotropy; Aquifer; Permeability (electromagnetism); Mass transfer; Statistical physics; Aquifer properties; Geology; Soil science; Mechanics; Geotechnical engineering; Groundwater; Physics; Chemistry","score_opus":0.035839604624318996,"score_gpt":0.2609483931999133,"score_spread":0.2251087885755943,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2022533674","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99023026,0.000024121726,0.008076183,0.0003355242,0.00018836556,0.00032397488,0.00001077579,0.000034577333,0.00077623903],"genre_scores_gemma":[0.9977627,0.0000044656354,0.00005587213,0.00011076475,0.000069380985,0.00008384521,0.000025586636,0.000020276719,0.0018671319],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9966363,0.0003025222,0.000318437,0.0005666014,0.0013998572,0.0007763022],"domain_scores_gemma":[0.9994678,0.00006742924,0.00001252915,0.0002369674,0.000038632366,0.00017665705],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008575844,0.00019865218,0.00022424327,0.00016293791,0.00040082724,0.000047592184,0.00030737036,0.000093305556,0.0024342188],"category_scores_gemma":[0.000008183223,0.0001457771,0.000089810834,0.00023511401,0.00054382754,0.00009961304,0.0001324484,0.0003153245,0.0006050449],"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":[0.0004772569,0.0007187164,0.82216275,0.000042329917,0.00011031802,0.000057746925,0.0066399653,0.0845634,0.07826294,0.000116484,0.00034121305,0.006506882],"study_design_scores_gemma":[0.0035195749,0.0005630986,0.73457074,0.000050305374,0.000024953031,0.000028459483,0.00026256565,0.015597724,0.056837745,0.00087752467,0.18685701,0.0008102941],"about_ca_topic_score_codex":0.0021631871,"about_ca_topic_score_gemma":0.0032157656,"teacher_disagreement_score":0.1865158,"about_ca_system_score_codex":0.00034165825,"about_ca_system_score_gemma":0.00000753309,"threshold_uncertainty_score":0.9984777},"labels":[],"label_agreement":null},{"id":"W2025105905","doi":"10.1029/2008wr007616","title":"Time‐lapse electrical resistivity monitoring of salt‐affected soil and groundwater","year":2009,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Geophysical and Geoelectrical Methods","field":"Earth and Planetary Sciences","cited_by":63,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Geoscience BC; University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Association of Petroleum Producers","keywords":"Electrical resistivity tomography; Electrical resistivity and conductivity; Groundwater; Soil science; Plume; Hydrology (agriculture); Soil water; Groundwater recharge; Geology; TRACER; Environmental science; Mineralogy; Aquifer; Geotechnical engineering; Meteorology","score_opus":0.031226377229384147,"score_gpt":0.29784770396483107,"score_spread":0.2666213267354469,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2025105905","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.996962,0.00040079738,0.000014123465,0.00047295506,0.0000263378,0.000163486,0.0000038778494,0.000039476476,0.0019169378],"genre_scores_gemma":[0.9972503,0.00003842742,0.0004750929,0.000020639576,0.00022149719,0.0000014743808,0.000010679728,0.00000416783,0.0019777014],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9968743,0.0009026232,0.0002263774,0.00039625782,0.0007590413,0.00084144267],"domain_scores_gemma":[0.99884874,0.000522457,0.000025523754,0.00022625245,0.00011664931,0.0002604059],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014817221,0.00014797004,0.00029476685,0.00025239264,0.00027025447,0.00010150159,0.00028651534,0.00011269063,0.0003349618],"category_scores_gemma":[0.00022848122,0.00008855677,0.000062381834,0.0006279214,0.00024883368,0.000120915895,0.000042578456,0.0005225086,0.00026220747],"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":[0.0006776994,0.0002554511,0.04304202,0.000061571365,0.000036476602,0.0000611961,0.0011737815,0.00011586944,0.086878404,0.000018573395,0.00027529855,0.8674037],"study_design_scores_gemma":[0.0002804207,0.0015422065,0.9121708,0.00002285324,0.0000082754295,0.000006692849,0.0000165013,0.002769449,0.07567729,0.0045118146,0.0028217547,0.00017190914],"about_ca_topic_score_codex":0.0013151822,"about_ca_topic_score_gemma":0.000022928187,"teacher_disagreement_score":0.8691288,"about_ca_system_score_codex":0.0000072278444,"about_ca_system_score_gemma":0.00001200209,"threshold_uncertainty_score":0.3667597},"labels":[],"label_agreement":null},{"id":"W2026277117","doi":"10.1029/2000wr900005","title":"A note on statistical analysis of the rate coefficient of nonaqueous phase liquid dissolution in porous media","year":2000,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Groundwater flow and contamination 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 Saskatchewan","funders":"University of Waterloo","keywords":"Dissolution; Porous medium; Correlation coefficient; Thermodynamics; Porosity; Phase (matter); Statistical analysis; Mathematics; Materials science; Liquid phase; Statistics; Chemistry; Physics; Composite material; Physical chemistry","score_opus":0.02653545557442435,"score_gpt":0.3238406217412305,"score_spread":0.2973051661668062,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2026277117","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99787915,0.0000135800055,0.00023561814,0.0002943667,0.000013971644,0.00018052243,0.000044811415,0.0000046037776,0.0013333992],"genre_scores_gemma":[0.99828255,0.000011196139,0.000014641898,0.000024200219,0.000007405406,0.000019560592,0.000016029291,0.000005639386,0.0016187942],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9977751,0.00049619836,0.00029602647,0.00024230845,0.0008524472,0.0003379624],"domain_scores_gemma":[0.99937606,0.00024490818,0.000029543655,0.0002722536,0.000027782653,0.000049464034],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001157617,0.00008306534,0.00020821771,0.00019309734,0.00011832414,0.000014924016,0.00028825863,0.000038368475,0.00199266],"category_scores_gemma":[0.00006931955,0.000045739896,0.000058037862,0.0008389377,0.00058555504,0.0000337071,0.0001914968,0.00016283887,0.00010191271],"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":[0.008688151,0.0062501924,0.08440167,0.00010259199,0.00060363783,0.0001760365,0.21462122,0.12534231,0.27884936,0.00029914395,0.0009201841,0.27974552],"study_design_scores_gemma":[0.0026739729,0.0017246254,0.8040417,0.00007202406,0.0001872726,0.0000026997482,0.0012844207,0.041718073,0.112931594,0.000118339914,0.034899857,0.00034544631],"about_ca_topic_score_codex":0.0018278847,"about_ca_topic_score_gemma":0.0012595127,"teacher_disagreement_score":0.71964,"about_ca_system_score_codex":0.000119328404,"about_ca_system_score_gemma":0.000004769155,"threshold_uncertainty_score":0.99891967},"labels":[],"label_agreement":null},{"id":"W2026845771","doi":"10.1002/2014wr015845","title":"Influence of surfactants on unsaturated water flow and solute transport","year":2015,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Soil and Unsaturated Flow","field":"Engineering","cited_by":35,"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":"Pulmonary surfactant; Percolation (cognitive psychology); Water flow; Hydraulic conductivity; Soil water; Adsorption; Water transport; Sorption; Chemistry; Surface tension; Volumetric flow rate; Vadose zone; Chemical engineering; Materials science; Soil science; Environmental science; Thermodynamics; Organic chemistry","score_opus":0.04240000369829555,"score_gpt":0.27232786654743824,"score_spread":0.22992786284914268,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2026845771","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99716836,0.00014395689,0.0000032442897,0.00011945023,0.00005445805,0.0001542768,0.000014690509,0.00012136619,0.0022201878],"genre_scores_gemma":[0.9990574,0.00004865967,0.000045146964,0.000013528339,0.0000461701,0.000010539104,0.00002700037,0.0000388043,0.0007127524],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9981066,0.00009865916,0.00024137023,0.00023959868,0.0006370708,0.0006767068],"domain_scores_gemma":[0.9992107,0.000040295345,0.000006833945,0.00028337887,0.0002228653,0.00023589724],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00073413766,0.00016987411,0.00022135816,0.0002499613,0.00007500094,0.000042276057,0.00023905037,0.00015222144,0.000029502324],"category_scores_gemma":[0.000019313566,0.00009728196,0.000030187513,0.00020971063,0.00017422721,0.00014116261,0.000051232764,0.0004975467,0.00014134002],"study_design_candidate":"bench_or_experimental","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":[0.0008987264,0.0000966669,0.010432525,0.0003752667,0.00019826407,0.00023788483,0.043265935,0.47691372,0.4614896,0.000010161464,0.0013385498,0.0047426876],"study_design_scores_gemma":[0.0013247462,0.00034547335,0.015002925,0.00014458949,0.000012370948,0.000017896917,0.0003605676,0.029850582,0.9182086,0.00021793276,0.03411687,0.00039746612],"about_ca_topic_score_codex":0.00018907082,"about_ca_topic_score_gemma":0.00002653552,"teacher_disagreement_score":0.45671898,"about_ca_system_score_codex":0.000040192568,"about_ca_system_score_gemma":0.000010339889,"threshold_uncertainty_score":0.39670432},"labels":[],"label_agreement":null},{"id":"W2027201303","doi":"10.1029/2000wr900379","title":"Chloride‐bromide‐δ<sup>11</sup>B systematics of a thick clay‐rich aquitard system","year":2001,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Groundwater and Isotope Geochemistry","field":"Earth and Planetary Sciences","cited_by":21,"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":"U.S. Geological Survey","keywords":"Meltwater; Geology; Aquifer; Geochemistry; Glacial period; Cretaceous; Groundwater; Geomorphology; Paleontology","score_opus":0.04197951058068737,"score_gpt":0.26816112392089436,"score_spread":0.22618161334020698,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2027201303","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9607615,0.00042398044,0.000024287312,0.00021265126,0.000091023765,0.0005139967,0.000050006714,0.00008929353,0.037833266],"genre_scores_gemma":[0.9918502,0.00004079495,0.00010285987,0.000022943092,0.00036631187,0.000013749775,0.00012575778,0.000017128297,0.0074602393],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9950871,0.00055208936,0.00076615886,0.00056399347,0.0017343442,0.0012962995],"domain_scores_gemma":[0.9981213,0.00029450885,0.00008765987,0.00084174454,0.00031355512,0.00034123703],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0031701333,0.0002851326,0.00056264026,0.0003407832,0.00043365062,0.0002907396,0.0011162601,0.00023799474,0.0016362867],"category_scores_gemma":[0.000089172085,0.00018118892,0.00014750568,0.0005805234,0.0003221652,0.00023273595,0.00016698049,0.00055186934,0.0015210132],"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":[0.000896815,0.00016911223,0.93673515,0.009543604,0.00030135433,0.0006634547,0.030347059,0.009135143,0.006574031,0.00009420046,0.003829229,0.0017108526],"study_design_scores_gemma":[0.0059100697,0.0025724452,0.06435952,0.0054910155,0.00029172332,0.003047862,0.09311595,0.15849069,0.28108737,0.00167572,0.38032013,0.0036375127],"about_ca_topic_score_codex":0.006077012,"about_ca_topic_score_gemma":0.00034609486,"teacher_disagreement_score":0.8723756,"about_ca_system_score_codex":0.000038258167,"about_ca_system_score_gemma":0.000046467136,"threshold_uncertainty_score":0.99927634},"labels":[],"label_agreement":null},{"id":"W2029563193","doi":"10.1029/2009wr007789","title":"A new approach to the application of electrical resistance sensors to measuring the onset of ephemeral streamflow in wetland environments","year":2009,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","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":"University of Guelph","funders":"Engineering and Physical Sciences Research Council","keywords":"Ephemeral key; Streamflow; Environmental science; Hydrology (agriculture); Computer science; Drainage basin; Geology; Geography; Cartography","score_opus":0.02635892830827755,"score_gpt":0.271951907462787,"score_spread":0.24559297915450948,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2029563193","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9863395,0.000022923527,0.0007033716,0.0054306975,0.0000041153257,0.0006857141,0.0000015135456,0.000004398806,0.0068077645],"genre_scores_gemma":[0.9960904,0.000010252015,0.00043108917,0.00012170904,0.000017782282,0.00005063027,0.0000018648204,0.000005318669,0.0032709485],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9981454,0.00029410058,0.00022940601,0.00029766408,0.00061960384,0.0004138474],"domain_scores_gemma":[0.9994487,0.000060865208,0.000025221529,0.00039540394,0.00000468087,0.00006513109],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014741533,0.00008870274,0.00013718905,0.0000952735,0.00017204447,0.000012575183,0.00056832423,0.000036726335,0.00003733631],"category_scores_gemma":[0.000042200332,0.000045274566,0.000028867506,0.00042488522,0.00015435666,0.000033773165,0.00033010106,0.00020003864,0.00013821419],"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":[0.0033278884,0.0013947613,0.51699626,0.000078580466,0.00015296892,0.000016868047,0.09673354,0.17096817,0.13420536,0.0003771461,0.03467787,0.041070614],"study_design_scores_gemma":[0.0008879881,0.00047048164,0.6252811,0.000029447954,0.000022008824,0.000002579387,0.0008446659,0.0024127355,0.06643019,0.0017262206,0.30157983,0.0003127376],"about_ca_topic_score_codex":0.00070873176,"about_ca_topic_score_gemma":0.00032064228,"teacher_disagreement_score":0.26690197,"about_ca_system_score_codex":0.00007297257,"about_ca_system_score_gemma":0.00000188016,"threshold_uncertainty_score":0.18462431},"labels":[],"label_agreement":null},{"id":"W2032149919","doi":"10.1029/2000wr900410","title":"Interannual variability of accumulated snow in the Columbia Basin, British Columbia","year":2001,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Climate variability and models","field":"Environmental Science","cited_by":49,"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 British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Climatology; Structural basin; Snow; Sea surface temperature; Environmental science; Spring (device); Precipitation; Oceanography; Geology; Geography; Meteorology; Geomorphology","score_opus":0.046696871410740644,"score_gpt":0.309970124973084,"score_spread":0.2632732535623434,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2032149919","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98268497,0.00000657055,0.000011988627,0.00048760758,0.000031879852,0.0006622121,0.000030770585,0.000021346825,0.016062656],"genre_scores_gemma":[0.9961253,0.000025124133,0.00005480132,0.00010949874,0.000027614911,0.000059830247,0.000019436427,0.000014728836,0.0035637072],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9955524,0.0017198521,0.00045378253,0.00052373117,0.0009941132,0.0007560918],"domain_scores_gemma":[0.9984697,0.00066017965,0.000033622477,0.00067929627,0.000056705147,0.00010049085],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.008079401,0.00008796583,0.00024672167,0.000041054867,0.00030442348,0.0005829033,0.00097397494,0.00013875311,0.01592472],"category_scores_gemma":[0.0005063227,0.00009217858,0.00008103634,0.0006804225,0.0008764633,0.00021164556,0.0007440397,0.0005602171,0.00016447998],"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":[0.00011553864,0.0007026701,0.97142226,0.000042059808,0.000011053681,0.000072206305,0.012827685,0.0005872613,0.002591841,0.0000021066558,0.007297941,0.004327392],"study_design_scores_gemma":[0.0010802171,0.0003782958,0.82135487,0.000119028104,0.00000986363,0.00007461379,0.0014956329,0.0051119863,0.0002690861,0.0063571455,0.16344868,0.00030056312],"about_ca_topic_score_codex":0.42816502,"about_ca_topic_score_gemma":0.39648178,"teacher_disagreement_score":0.15615074,"about_ca_system_score_codex":0.00017617467,"about_ca_system_score_gemma":0.000010560991,"threshold_uncertainty_score":0.98497486},"labels":[],"label_agreement":null},{"id":"W2034342768","doi":"10.1029/2000wr900046","title":"Regional rainfall depth‐duration‐frequency equations for Canada","year":2000,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Drought Analysis","field":"Environmental Science","cited_by":53,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Duration (music); Storm; Return period; Precipitation; Environmental science; Hydrology (agriculture); Elevation (ballistics); Climatology; Sampling (signal processing); Statistics; Geology; Meteorology; Physical geography; Mathematics; Geography; Geometry; Flood myth","score_opus":0.04412429158809285,"score_gpt":0.30189386615180097,"score_spread":0.25776957456370814,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2034342768","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9234817,0.000037934893,0.0002350274,0.008833559,0.000016938118,0.00027942995,0.000010171367,0.00002038062,0.06708488],"genre_scores_gemma":[0.954379,0.000008939139,0.0003548722,0.0004537494,0.00009012703,0.00011495702,0.00007699894,0.000010802343,0.04451054],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9980833,0.0001995263,0.00020703531,0.00031197403,0.0006380041,0.00056014786],"domain_scores_gemma":[0.9993401,0.00020937064,0.000014731966,0.0002738064,0.000027245307,0.0001347442],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00084804604,0.000087562716,0.000102511796,0.000060859737,0.00070994697,0.000044961733,0.00036015047,0.00007160015,0.020287279],"category_scores_gemma":[0.00006834342,0.00006326783,0.000054908658,0.00026251047,0.00027795022,0.00012346341,0.00006637416,0.0001877933,0.0010819213],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009443265,0.00069264753,0.18351908,0.000080854596,0.0005280076,0.00022206537,0.03343358,0.07380316,0.046004023,0.0022904119,0.5704871,0.087994784],"study_design_scores_gemma":[0.0003056939,0.00006653135,0.004430759,0.0000033233562,0.0000114626855,0.0000052562723,0.00009189299,0.008933289,0.0014772915,0.0053635184,0.9791502,0.00016078971],"about_ca_topic_score_codex":0.41113284,"about_ca_topic_score_gemma":0.752754,"teacher_disagreement_score":0.40866312,"about_ca_system_score_codex":0.00021149068,"about_ca_system_score_gemma":0.000042426866,"threshold_uncertainty_score":0.99969584},"labels":[],"label_agreement":null},{"id":"W2036341874","doi":"10.1002/2015wr016945","title":"Debates—Perspectives on socio‐hydrology: Modeling flood risk as a public policy problem","year":2015,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Flood Risk Assessment and Management","field":"Environmental Science","cited_by":102,"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":"Flood myth; Conceptualization; Damages; Unintended consequences; Floodplain; Public policy; Natural hazard; Environmental planning; Environmental resource management; Management science; Geography; Environmental science; Political science; Economics; Computer science; Economic growth","score_opus":0.06385560346924375,"score_gpt":0.34493385780789604,"score_spread":0.2810782543386523,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2036341874","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.86832976,0.00010014761,0.00017883367,0.007322696,0.000026532683,0.0005474282,0.000002662001,0.00010774715,0.12338416],"genre_scores_gemma":[0.9916941,0.00016218479,0.00055467285,0.00014091226,0.00021036236,0.0001468415,0.000009319779,0.000041185514,0.007040408],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.99553955,0.00071475725,0.0002388455,0.0007331859,0.0015142693,0.0012594126],"domain_scores_gemma":[0.99889493,0.000053308515,0.000037573853,0.00054126047,0.000059634753,0.00041326732],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003041899,0.00021752945,0.0001956439,0.0004077717,0.0005860375,0.0002962826,0.0008145703,0.00012502777,0.00072901364],"category_scores_gemma":[0.00017158555,0.00014535218,0.00007863296,0.00047053015,0.00043497095,0.00030945052,0.0014554736,0.00067033805,0.0056510298],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013843033,0.0041169836,0.1344804,0.000100859936,0.0007631812,0.00030914514,0.33041385,0.43316743,0.0060652033,0.015168429,0.03584445,0.038185768],"study_design_scores_gemma":[0.004951978,0.0040853657,0.0017708596,0.0000552679,0.00005999387,0.000021590502,0.047714766,0.2772376,0.004229873,0.14977026,0.50866836,0.0014340724],"about_ca_topic_score_codex":0.015391827,"about_ca_topic_score_gemma":0.00030766448,"teacher_disagreement_score":0.47282392,"about_ca_system_score_codex":0.0006802457,"about_ca_system_score_gemma":0.000043205157,"threshold_uncertainty_score":0.9951232},"labels":[],"label_agreement":null},{"id":"W2036619388","doi":"10.1029/2011wr011613","title":"Probabilistic rainfall‐runoff transformation considering both infiltration and saturation excess runoff generation processes","year":2012,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Urban Stormwater Management Solutions","field":"Environmental Science","cited_by":48,"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":"U.S. Army Corps of Engineers","keywords":"Surface runoff; Runoff model; Runoff curve number; Environmental science; Infiltration (HVAC); Hydrology (agriculture); Saturation (graph theory); Storm; Probabilistic logic; Soil science; Geology; Meteorology; Geotechnical engineering; Mathematics; Statistics; Geography","score_opus":0.0745315895523255,"score_gpt":0.2978670896587284,"score_spread":0.22333550010640288,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2036619388","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98941743,0.0001180659,0.0015485269,0.00068851333,0.000074156334,0.0008862714,0.000003871587,0.00008185473,0.0071812943],"genre_scores_gemma":[0.99805,0.00003528937,0.00043200876,0.000052461928,0.00020114596,0.00018502954,0.00009399166,0.000020329262,0.00092973985],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.99771744,0.00026102917,0.00030585125,0.00030628304,0.00075878215,0.00065061887],"domain_scores_gemma":[0.9994731,0.00006249243,0.00004249768,0.00022469249,0.000048002963,0.00014924924],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014603949,0.00015671877,0.00011849351,0.00017311244,0.000708186,0.0003201781,0.00016412177,0.000085178464,0.0004469548],"category_scores_gemma":[0.00010627291,0.00011992113,0.000021329644,0.00033942994,0.00031819128,0.0019130001,0.00017322731,0.00021522344,0.00025460264],"study_design_candidate":"bench_or_experimental","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":[0.00020184786,0.000597084,0.11596954,0.0011299573,0.00010117674,0.000007141003,0.23564345,0.011877251,0.6084109,0.0015055587,0.007783923,0.01677219],"study_design_scores_gemma":[0.0022154707,0.0005509787,0.14681916,0.00014949088,0.00011489408,0.00007891813,0.0043261633,0.046199355,0.1590712,0.0028453765,0.63599324,0.0016357589],"about_ca_topic_score_codex":0.00039139998,"about_ca_topic_score_gemma":0.000588012,"teacher_disagreement_score":0.6282093,"about_ca_system_score_codex":0.00022529432,"about_ca_system_score_gemma":0.000009895202,"threshold_uncertainty_score":0.54468656},"labels":[],"label_agreement":null},{"id":"W2040572220","doi":"10.1002/2013wr014594","title":"Potential of a low‐cost sensor network to understand the spatial and temporal dynamics of a mountain snow cover","year":2014,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":42,"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":"Deutsche Forschungsgemeinschaft","keywords":"Snow; Environmental science; Elevation (ballistics); Wind speed; Precipitation; Range (aeronautics); Snow cover; Vegetation (pathology); Climatology; Physical geography; Meteorology; Geology; Geography","score_opus":0.03071063233288635,"score_gpt":0.2616297800363854,"score_spread":0.23091914770349903,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2040572220","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9941233,0.00009046686,0.0025655834,0.0020322653,0.000056373487,0.00031921655,0.000059775655,0.000005307062,0.0007477385],"genre_scores_gemma":[0.9988837,0.000027598302,0.00021246557,0.00007533455,0.00015275275,0.0000014969933,0.000038524588,0.0000039732718,0.0006041493],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99854654,0.00022162074,0.00019736736,0.00017465522,0.00048310062,0.00037671273],"domain_scores_gemma":[0.99927485,0.00030347012,0.000033878045,0.00019577499,0.00010862408,0.00008340244],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010388013,0.000080162376,0.00016195959,0.00003828979,0.00031267368,0.00005817872,0.00020495389,0.000041305757,0.00045892032],"category_scores_gemma":[0.00007481152,0.000043924105,0.00003495278,0.0002403738,0.00032025317,0.000035195622,0.00009735801,0.00014233068,0.000020024525],"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":[0.0006083852,0.000033511787,0.9076924,0.000099756195,0.000077432465,0.0000062985287,0.007782454,0.056766037,0.0000793846,0.00014394934,0.0029861096,0.02372432],"study_design_scores_gemma":[0.0005782866,0.0005178368,0.69611937,0.000065647,0.000016760876,0.0000049310033,0.007017685,0.24637431,0.00012691563,0.0012540238,0.047748957,0.00017528492],"about_ca_topic_score_codex":0.014063738,"about_ca_topic_score_gemma":0.0152473785,"teacher_disagreement_score":0.211573,"about_ca_system_score_codex":0.00000778642,"about_ca_system_score_gemma":0.000012516569,"threshold_uncertainty_score":0.9925017},"labels":[],"label_agreement":null},{"id":"W2040637085","doi":"10.1029/2011wr011152","title":"Stochastic decadal climate simulations for the Berg and Breede Water Management Areas, Western Cape province, South Africa","year":2012,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Drought Analysis","field":"Environmental Science","cited_by":23,"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 Oceanic and Atmospheric Administration; International Development Research Centre; Innovative Research Group Project of the National Natural Science Foundation of China","keywords":"Downscaling; Climatology; Streamflow; Autocorrelation; Precipitation; Cru; Environmental science; Autoregressive model; Coupled model intercomparison project; Climate change; Climate model; Multivariate statistics; Meteorology; Geography; Econometrics; Statistics; Mathematics; Geology; Drainage basin; Cartography","score_opus":0.03588950145459359,"score_gpt":0.2943401909165781,"score_spread":0.2584506894619845,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2040637085","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99387383,0.00012458445,0.0012478433,0.0010000911,0.000028257164,0.00068290666,0.000018412316,0.00002454398,0.0029995102],"genre_scores_gemma":[0.9917491,0.000005406198,0.00009421943,0.000059289265,0.000095805735,0.0001244439,0.000019553197,0.000018601964,0.007833572],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9977473,0.00017001307,0.00017895472,0.00031601626,0.00048372443,0.0011039998],"domain_scores_gemma":[0.99928457,0.0001774037,0.000018570785,0.00034531252,0.000013725559,0.00016042439],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013358741,0.0001338213,0.00013187646,0.00010161553,0.0010192392,0.000105713654,0.0003438956,0.00007262295,0.000683984],"category_scores_gemma":[0.000013425409,0.00006442581,0.000054873028,0.00012312423,0.00046983766,0.00017578177,0.00086023996,0.00019816015,0.0006613462],"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":[0.0012743501,0.00074701925,0.6641315,0.0002504621,0.00085122266,0.000040406812,0.19292328,0.11971296,0.006604092,0.00027363407,0.0024332402,0.010757816],"study_design_scores_gemma":[0.002742828,0.00049042597,0.11252621,0.000047981455,0.00065382203,0.000029352825,0.0048390212,0.111636415,0.005551084,0.002444472,0.75789297,0.0011454489],"about_ca_topic_score_codex":0.00010497941,"about_ca_topic_score_gemma":0.00030406224,"teacher_disagreement_score":0.7554597,"about_ca_system_score_codex":0.000053370048,"about_ca_system_score_gemma":0.000001643907,"threshold_uncertainty_score":0.8500488},"labels":[],"label_agreement":null},{"id":"W2041379399","doi":"10.1002/2014wr015462","title":"Reliable probabilistic forecasts from an ensemble reservoir inflow forecasting system","year":2014,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":34,"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","funders":"Natural Sciences and Engineering Research Council of Canada; University of British Columbia; BC Hydro","keywords":"Ensemble forecasting; Probabilistic logic; Probability distribution; Probabilistic forecasting; Inflow; Calibration; Consensus forecast; Uncertainty quantification; Computer science; Meteorology; Econometrics; Mathematics; Statistics","score_opus":0.05176315535614744,"score_gpt":0.28175410126710476,"score_spread":0.2299909459109573,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2041379399","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93416184,0.000017602399,0.00015751952,0.000700517,0.00008466773,0.00046874993,0.0000035270948,0.000132498,0.064273104],"genre_scores_gemma":[0.99410534,0.000003170201,0.00062029925,0.00008962102,0.00019586582,0.00014852216,0.000030347854,0.000036082267,0.00477073],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.996227,0.0006747537,0.00032222384,0.0007617986,0.00084792264,0.0011662856],"domain_scores_gemma":[0.99875116,0.00021367938,0.000041999814,0.0007433458,0.000038513062,0.00021127648],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0032659655,0.00021135219,0.00026826054,0.00013347306,0.0010518999,0.00015327294,0.0007729858,0.00013475247,0.00054081914],"category_scores_gemma":[0.0001754651,0.00014276679,0.000052203242,0.0002601552,0.0005253764,0.00033241874,0.0015441526,0.000426355,0.0021726394],"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":[0.0021337767,0.00097425794,0.5898198,0.0012298183,0.00044912644,0.00053243415,0.08943182,0.20266461,0.030240504,0.0013878932,0.044417683,0.036718268],"study_design_scores_gemma":[0.0016826779,0.0014110319,0.014441506,0.00026166704,0.000058083693,0.000019676276,0.002322551,0.36593255,0.013781705,0.020893253,0.57824713,0.00094814156],"about_ca_topic_score_codex":0.0042769527,"about_ca_topic_score_gemma":0.0010450406,"teacher_disagreement_score":0.5753783,"about_ca_system_score_codex":0.00020728829,"about_ca_system_score_gemma":0.000002933625,"threshold_uncertainty_score":0.9986043},"labels":[],"label_agreement":null},{"id":"W2041840313","doi":"10.1029/2005wr004060","title":"Effects of sodium chloride on constitutive relations in variably saturated porous media","year":2006,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Soil and Unsaturated Flow","field":"Engineering","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 Calgary","funders":"","keywords":"Molality; Loam; Silt; Vapor pressure; Porous medium; Soil science; Pore water pressure; Sodium; Soil water; Chemistry; Salinity; Volume (thermodynamics); Salt (chemistry); Saturation (graph theory); Mineralogy; Geotechnical engineering; Thermodynamics; Porosity; Geology; Mathematics; Aqueous solution; Organic chemistry","score_opus":0.012947339675469124,"score_gpt":0.23924161729944612,"score_spread":0.226294277623977,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2041840313","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96311885,0.0002273393,0.000017316437,0.00007745924,0.00017508134,0.00027198918,0.0000090397625,0.000116268086,0.03598668],"genre_scores_gemma":[0.9989432,0.000018726369,0.00004782415,0.0000068348186,0.00014262016,0.000041287993,0.000043181906,0.000026827813,0.00072945736],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9983798,0.00014688802,0.00026913572,0.0002082333,0.00045773946,0.00053815125],"domain_scores_gemma":[0.99900347,0.0006069012,0.0000135681075,0.00019925296,0.00011044943,0.000066357476],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00043429076,0.00014501724,0.00020732528,0.0005316066,0.00008148631,0.000041219977,0.00019669264,0.00017677185,0.000040852923],"category_scores_gemma":[0.00013361232,0.00010598844,0.000034373716,0.0006129706,0.00019171806,0.00008028106,0.000046172998,0.00069720566,0.00018005984],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0021589412,0.0009197118,0.016543915,0.0011944625,0.00035369655,0.0017589659,0.030873103,0.19778374,0.7221765,0.008806298,0.012110513,0.0053201593],"study_design_scores_gemma":[0.0017022387,0.000116633455,0.032862756,0.00026422364,0.000012269091,0.000007817579,0.00016993494,0.007218194,0.9434906,0.0018011474,0.012052487,0.00030165003],"about_ca_topic_score_codex":0.0009939779,"about_ca_topic_score_gemma":0.0001494083,"teacher_disagreement_score":0.22131416,"about_ca_system_score_codex":0.00011862118,"about_ca_system_score_gemma":0.000019681684,"threshold_uncertainty_score":0.4322083},"labels":[],"label_agreement":null},{"id":"W2045944858","doi":"10.1029/2010wr010090","title":"Hyperresolution global land surface modeling: Meeting a grand challenge for monitoring Earth's terrestrial water","year":2011,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Soil Moisture and Remote Sensing","field":"Environmental Science","cited_by":1040,"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":"Princeton Institute for International and Regional Studies; Natural Environment Research Council; Sight Research UK; Princeton University","keywords":"Water cycle; Biogeochemical cycle; Earth system science; Environmental science; Evapotranspiration; Global change; Context (archaeology); Sustainability; Water resources; Environmental resource management; Earth science; Climate change; Geography; Geology","score_opus":0.11952439722886929,"score_gpt":0.31331582495524174,"score_spread":0.19379142772637245,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2045944858","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.967341,0.00012679514,0.00016414102,0.00024922448,0.00026394994,0.00044106605,0.0000017933301,0.00006216832,0.031349853],"genre_scores_gemma":[0.9976568,0.00003106392,0.0012002954,0.000007518857,0.0005191845,0.000006925523,0.0000082123,0.000029331362,0.00054063764],"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99712896,0.00024368345,0.00026351784,0.0005291536,0.0007369315,0.0010977376],"domain_scores_gemma":[0.9994153,0.000043294425,0.000019568854,0.00030896772,0.00003075176,0.0001821507],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014868934,0.00018907302,0.00019680033,0.00005020929,0.0006259697,0.00011253658,0.00033448424,0.00016698912,0.000052500014],"category_scores_gemma":[0.00004128703,0.000111713736,0.00010034485,0.000112808826,0.0002085856,0.00016249993,0.00045109278,0.000286689,0.00026402576],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0071457964,0.0009986951,0.35259575,0.00026352226,0.0003299177,0.00033109655,0.15842883,0.05892521,0.31487167,0.000015793736,0.0009325256,0.10516119],"study_design_scores_gemma":[0.010152937,0.0020941463,0.026851831,0.0005308619,0.00013945598,0.00012785885,0.0046294173,0.23154375,0.53684837,0.008695224,0.17592001,0.002466101],"about_ca_topic_score_codex":0.007941343,"about_ca_topic_score_gemma":0.001209038,"teacher_disagreement_score":0.3257439,"about_ca_system_score_codex":0.00012225873,"about_ca_system_score_gemma":0.000005031399,"threshold_uncertainty_score":0.99866486},"labels":[],"label_agreement":null},{"id":"W2046156160","doi":"10.1002/2013wr014650","title":"Wavelet‐based multiscale performance analysis: An approach to assess and improve hydrological models","year":2014,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrological Forecasting Using AI","field":"Environmental Science","cited_by":95,"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","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Wavelet; Computer science; Wavelet transform; Scale (ratio); Measure (data warehouse); Series (stratigraphy); Mean squared error; Data mining; Statistics; Mathematics; Artificial intelligence; Geology","score_opus":0.1154676127361794,"score_gpt":0.3194811420773527,"score_spread":0.20401352934117328,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2046156160","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.980892,0.0000033528731,0.0066067977,0.00025746576,0.000011396839,0.00030411733,0.0000033713757,0.0000824617,0.011839028],"genre_scores_gemma":[0.9884737,9.969584e-7,0.010440219,0.00026317022,0.00005382437,0.00008080886,0.000021404463,0.000020627474,0.0006452396],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99604684,0.0007446771,0.00025042685,0.0009561181,0.0009961197,0.0010058244],"domain_scores_gemma":[0.99872375,0.00012533547,0.000025814219,0.0005990113,0.000028643879,0.0004974494],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0035589475,0.0001983902,0.00030236258,0.00022376455,0.00049585523,0.00020360854,0.0006640618,0.00017203401,0.00018398788],"category_scores_gemma":[0.0000993511,0.00012116773,0.00006441271,0.00067165913,0.00059783534,0.0002157372,0.00081036205,0.00051379675,0.00028978992],"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":[0.00020118892,0.00044088147,0.034052614,0.000030623618,0.00004361293,0.0000063896964,0.0025611967,0.9163473,0.028832901,0.000022038204,0.000060364146,0.017400859],"study_design_scores_gemma":[0.00023456528,0.00054693175,0.01399661,0.000003894271,0.000020863585,0.0000026205919,0.000018534887,0.97884166,0.0032116345,0.00024216466,0.0026788106,0.00020168336],"about_ca_topic_score_codex":0.0003287841,"about_ca_topic_score_gemma":0.00002601543,"teacher_disagreement_score":0.06249436,"about_ca_system_score_codex":0.000087084445,"about_ca_system_score_gemma":0.0000028776851,"threshold_uncertainty_score":0.49410766},"labels":[],"label_agreement":null},{"id":"W2046956594","doi":"10.1029/2009wr008340","title":"Stochastic inversion of tracer test and electrical geophysical data to estimate hydraulic conductivities","year":2010,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Geophysical and Geoelectrical Methods","field":"Earth and Planetary Sciences","cited_by":133,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Markov chain Monte Carlo; Monte Carlo method; Electrical resistivity tomography; Inversion (geology); Borehole; Geology; TRACER; Hydraulic conductivity; Bayesian probability; Electrical resistivity and conductivity; Geophysics; Inverse problem; Synthetic data; Soil science; Algorithm; Computer science; Geotechnical engineering; Statistics; Mathematics; Geomorphology; Structural basin; Artificial intelligence; Engineering","score_opus":0.0742703490619534,"score_gpt":0.34771234802931095,"score_spread":0.27344199896735755,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2046956594","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9978073,0.00005468561,0.000055615597,0.0011056241,0.00005197836,0.00022836766,0.000042147178,0.000023282197,0.0006309922],"genre_scores_gemma":[0.9980628,0.000002398041,0.0011295305,0.00005046967,0.00018687031,0.0000026952089,0.00004087663,0.0000058600376,0.00051853905],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99764585,0.00025264625,0.00019276782,0.0005105058,0.000701079,0.00069715205],"domain_scores_gemma":[0.9975831,0.0014532204,0.000021151056,0.00047567693,0.000091881855,0.00037498047],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010306528,0.00013886185,0.0002642143,0.00022366695,0.00022728732,0.00009667495,0.00064269354,0.00009423557,0.0003656404],"category_scores_gemma":[0.000882314,0.00008522021,0.00003058078,0.0005319608,0.00034584757,0.00018960482,0.0002488664,0.00078743545,0.00029776606],"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":[0.00056238705,0.00041176833,0.034324154,0.00013163824,0.000048335205,0.00004042951,0.0030274282,0.0005056111,0.3831813,0.0001287425,0.0015899327,0.57604825],"study_design_scores_gemma":[0.00083520205,0.0033966703,0.6385989,0.00004371257,0.000040334966,0.000041137948,0.00015497826,0.24516457,0.06710221,0.014896397,0.029064294,0.000661565],"about_ca_topic_score_codex":0.0027052274,"about_ca_topic_score_gemma":0.00038512558,"teacher_disagreement_score":0.60427475,"about_ca_system_score_codex":0.0000023868968,"about_ca_system_score_gemma":0.000021689135,"threshold_uncertainty_score":0.40895125},"labels":[],"label_agreement":null},{"id":"W2047787013","doi":"10.1029/1999wr900208","title":"Temporal and spatial variability of North American prairie snow cover (1988–1995) inferred from passive microwave‐ derived snow water equivalent imagery","year":2000,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Cryospheric studies and observations","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":true,"ca_institutions":"Environment and Climate Change Canada; University of Waterloo","funders":"","keywords":"Snow; Environmental science; Snow cover; Water equivalent; Climatology; Meteorology; Physical geography; Geography; Geology","score_opus":0.0345049363023014,"score_gpt":0.26821363616146604,"score_spread":0.23370869985916465,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2047787013","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99677664,0.000098231605,0.0001155378,0.0013877472,0.0000612977,0.00039424168,0.000339195,0.0000263062,0.00080077286],"genre_scores_gemma":[0.9976664,0.00010376833,0.00041368578,0.00010574397,0.00019159427,0.000010342954,0.00062030315,0.000010436844,0.00087771314],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99696755,0.0005194459,0.000432533,0.00056325103,0.0006952655,0.000821936],"domain_scores_gemma":[0.99853384,0.0005778491,0.000058557103,0.00041930127,0.00018498547,0.00022549038],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00063673104,0.00022077716,0.00040115704,0.0000694097,0.000467228,0.00014536866,0.0003353586,0.000057165456,0.0058146836],"category_scores_gemma":[0.00013020883,0.00013319404,0.00008635051,0.00027065887,0.0012073815,0.00017173683,0.00015889452,0.00033931294,0.00028267733],"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":[0.00033295588,0.00005688304,0.9013077,0.000022558725,0.00007620252,0.00002247969,0.003938666,0.00027430945,0.00080252124,1.3146615e-7,0.000754365,0.09241124],"study_design_scores_gemma":[0.0003880516,0.00025797173,0.9454183,0.000018149882,0.000015911572,0.0000018903977,0.0002923762,0.0013805324,0.0036561184,0.000113203896,0.0482597,0.00019777598],"about_ca_topic_score_codex":0.09976671,"about_ca_topic_score_gemma":0.039354872,"teacher_disagreement_score":0.09221347,"about_ca_system_score_codex":0.000018639928,"about_ca_system_score_gemma":0.000035590427,"threshold_uncertainty_score":0.9950941},"labels":[],"label_agreement":null},{"id":"W2049740051","doi":"10.1029/2000wr900027","title":"Hydrologic response of soils to precipitation at Carnation Creek, British Columbia, Canada","year":2000,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Landslides and related hazards","field":"Environmental Science","cited_by":53,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Canadian Forest Service; Natural Sciences and Engineering Research Council of Canada; U.S. Forest Service","keywords":"Piezometer; Soil water; Hydrology (agriculture); Precipitation; Environmental science; Carnation; Storm; Watershed; Geology; Soil science; Meteorology; Groundwater; Geography; Aquifer; Oceanography; Geotechnical engineering","score_opus":0.012963109653370665,"score_gpt":0.24627713521890612,"score_spread":0.23331402556553546,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2049740051","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98779213,0.000030870324,7.024575e-7,0.0005049266,0.000028537463,0.00030835444,0.000022778753,0.000014589828,0.011297103],"genre_scores_gemma":[0.8834174,0.000025408614,0.00004444953,0.00007635491,0.000022331205,0.000027299418,0.000014721547,0.0000121041385,0.11635993],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99742526,0.0004796991,0.00022888654,0.0003201264,0.001047565,0.00049847143],"domain_scores_gemma":[0.9994116,0.00011554383,0.00002146174,0.00024216264,0.000034767945,0.00017448138],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0014002766,0.000060490882,0.0001233684,0.000034404526,0.00037045934,0.00015954736,0.00031347683,0.000095686846,0.021763528],"category_scores_gemma":[0.000080191734,0.00006313763,0.000033086573,0.0002768173,0.00016235192,0.00007320642,0.00023659493,0.00019074666,0.0003938976],"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":[0.002844976,0.00023934343,0.53737366,0.000053495496,0.00007970874,0.0004112847,0.014754916,0.039202757,0.12140745,3.2373987e-7,0.18853475,0.09509736],"study_design_scores_gemma":[0.0004543567,0.000420121,0.5032182,0.000031898122,0.00000584692,0.000028604998,0.00014410673,0.0008554559,0.0054927054,0.000096808624,0.4890735,0.0001784243],"about_ca_topic_score_codex":0.9625439,"about_ca_topic_score_gemma":0.9760648,"teacher_disagreement_score":0.30053875,"about_ca_system_score_codex":0.0005095544,"about_ca_system_score_gemma":0.000027670258,"threshold_uncertainty_score":0.9791307},"labels":[],"label_agreement":null},{"id":"W2052379270","doi":"10.1029/2009wr007745","title":"Comparison of aquifer characterization approaches through steady state groundwater model validation: A controlled laboratory sandbox study","year":2010,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Groundwater flow and contamination studies","field":"Environmental Science","cited_by":115,"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":"Natural Sciences and Engineering Research Council of Canada; Strategic Environmental Research and Development Program; National Science Foundation","keywords":"Aquifer; Hydraulic conductivity; Aquifer properties; Permeameter; Groundwater flow; Groundwater; Soil science; Geology; Kriging; Groundwater model; Flow (mathematics); Environmental science; Hydrology (agriculture); Geotechnical engineering; Mechanics; Statistics; Mathematics; Groundwater recharge; Physics; Soil water","score_opus":0.10158474153873219,"score_gpt":0.3433708859575212,"score_spread":0.24178614441878898,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2052379270","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99381125,0.000011517362,0.0031862038,0.0002454307,0.00008097647,0.0012592622,0.000015185708,0.000043497563,0.001346688],"genre_scores_gemma":[0.992479,0.0000029341297,0.00013859781,0.000025269646,0.000056118406,0.00033580523,0.000053926364,0.000029498373,0.006878826],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99639654,0.0005769879,0.00060124754,0.0005143808,0.0013534531,0.00055741105],"domain_scores_gemma":[0.9990771,0.00008601511,0.00010949679,0.0004894983,0.00014836532,0.00008953915],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019309953,0.00022150378,0.00049696927,0.0001371039,0.00047127425,0.00020547395,0.0004671471,0.00009014928,0.0006022309],"category_scores_gemma":[0.000036460817,0.00014293364,0.00006800362,0.00031500417,0.00048385942,0.0005327269,0.0005701262,0.00047062038,0.00028188675],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008238107,0.0021208527,0.28983757,0.000041487838,0.00015245119,0.0000058435653,0.18214461,0.0014760742,0.52010393,0.00004844867,0.00019566384,0.0030492574],"study_design_scores_gemma":[0.020540424,0.0025403847,0.19571827,0.000051159077,0.00018754251,0.000005241201,0.03244226,0.11572767,0.55565155,0.001026056,0.074454434,0.001654989],"about_ca_topic_score_codex":0.00024881633,"about_ca_topic_score_gemma":0.0001743436,"teacher_disagreement_score":0.14970236,"about_ca_system_score_codex":0.0000680029,"about_ca_system_score_gemma":0.000011273841,"threshold_uncertainty_score":0.65940064},"labels":[],"label_agreement":null},{"id":"W2052849469","doi":"10.1002/2014wr015550","title":"Channel evolution after dam removal in a poorly sorted sediment mixture: Experiments and numerical model","year":2014,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Sediment Transport Processes","field":"Environmental Science","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"National Science Foundation","keywords":"Channel (broadcasting); Geology; Sediment; Sediment transport; Hydrology (agriculture); Dam removal; Geotechnical engineering; Soil science; Geomorphology; Engineering","score_opus":0.022777583831576464,"score_gpt":0.2802225602455782,"score_spread":0.2574449764140017,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2052849469","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99399453,0.00021743798,0.0018963335,0.0005946629,0.000023268032,0.00025631065,0.0000019186725,0.000029444824,0.0029860616],"genre_scores_gemma":[0.9981214,0.000012067224,0.00020806605,0.00021384594,0.000037386726,0.00012447462,0.000010048754,0.000017688091,0.0012550418],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9975867,0.00025966953,0.00022287991,0.00053401006,0.0006834722,0.0007132327],"domain_scores_gemma":[0.9995395,0.000032329164,0.000016217857,0.00022825325,0.000012341118,0.00017137338],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011261065,0.0001550637,0.00017057126,0.00013802409,0.00016798209,0.000033396194,0.00024530507,0.00016085872,0.0005927304],"category_scores_gemma":[0.000017190603,0.00011201216,0.000028954464,0.00021241004,0.00036540857,0.0001937252,0.00024350466,0.0004058595,0.00023917716],"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":[0.007242353,0.0034564296,0.42452735,0.00035308988,0.00017370544,0.0008611286,0.13790376,0.122671776,0.2877506,0.0002639789,0.0019944946,0.012801333],"study_design_scores_gemma":[0.0037038864,0.000990897,0.11492994,0.00010002977,0.000026159947,0.000063824555,0.0004921412,0.7771128,0.04901466,0.009861504,0.042735808,0.0009683722],"about_ca_topic_score_codex":0.00045948706,"about_ca_topic_score_gemma":0.000059788264,"teacher_disagreement_score":0.654441,"about_ca_system_score_codex":0.00011450361,"about_ca_system_score_gemma":0.0000056688627,"threshold_uncertainty_score":0.6489982},"labels":[],"label_agreement":null},{"id":"W2052960370","doi":"10.1002/2014wr016527","title":"What do we mean by sensitivity analysis? The need for comprehensive characterization of “global” sensitivity in <scp>E</scp>arth and <scp>E</scp>nvironmental systems models","year":2015,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Groundwater flow and contamination studies","field":"Environmental Science","cited_by":368,"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":"Canada Research Chairs","keywords":"Sensitivity (control systems); Context (archaeology); Variety (cybernetics); Computer science; Interpretation (philosophy); Artificial intelligence; Engineering; Geography","score_opus":0.04763147605305314,"score_gpt":0.28091192256696557,"score_spread":0.23328044651391244,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2052960370","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99504465,0.0006932515,0.0025033792,0.00039548738,0.00007402572,0.0009717878,0.00012817937,0.000024232675,0.00016502502],"genre_scores_gemma":[0.99756,0.00031466843,0.000017040413,0.000041046747,0.000038567312,0.00008840127,0.00010277425,0.000018351735,0.0018191305],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9959554,0.001191826,0.00039127818,0.0006076754,0.001169666,0.0006841485],"domain_scores_gemma":[0.99846137,0.00073791906,0.000116296564,0.00038773558,0.00011172052,0.00018497865],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025638347,0.0002516599,0.00047562554,0.00014367864,0.00032225368,0.00038915043,0.00019676844,0.000118016906,0.000002592665],"category_scores_gemma":[0.00007820237,0.00016842243,0.000097155724,0.00061351986,0.0006913892,0.00075636513,0.00071365683,0.00022178657,0.00003146838],"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":[0.00013558213,0.00067620125,0.31063256,0.00021754942,0.00095473253,0.00007117202,0.17354791,0.028069261,0.47424257,0.000121882425,0.0032428603,0.00808771],"study_design_scores_gemma":[0.003442865,0.0005818183,0.3085857,0.00020171494,0.0003438842,0.000052769497,0.23204434,0.2990084,0.04361214,0.00045034438,0.111327454,0.00034856325],"about_ca_topic_score_codex":0.0015357313,"about_ca_topic_score_gemma":0.000738222,"teacher_disagreement_score":0.43063045,"about_ca_system_score_codex":0.0002657627,"about_ca_system_score_gemma":0.000007359978,"threshold_uncertainty_score":0.68680674},"labels":[],"label_agreement":null},{"id":"W2053311912","doi":"10.1002/2013wr015117","title":"Influence of the sediment supply texture on morphological adjustments in gravel‐bed rivers","year":2014,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Sediment Transport Processes","field":"Environmental Science","cited_by":34,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Flume; Texture (cosmology); Sediment; Grain size; Geology; Bed load; Sediment transport; Particle-size distribution; Soil science; Hydrology (agriculture); Geotechnical engineering; Environmental science; Geomorphology; Particle size; Geometry; Flow (mathematics); Mathematics","score_opus":0.018571331259748504,"score_gpt":0.2691237965524952,"score_spread":0.25055246529274666,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2053311912","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99370223,0.0000113619935,0.0000015130358,0.0010941382,0.000016713564,0.0002806396,0.0000030336164,0.000010411549,0.0048799487],"genre_scores_gemma":[0.9990089,0.000011050607,0.000017183036,0.0003135758,0.000012706042,0.000031966614,0.0000043809946,0.0000072174857,0.00059304235],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99771005,0.00038715877,0.00020376936,0.00035048506,0.0008379269,0.0005106341],"domain_scores_gemma":[0.9994528,0.000097678654,0.000026434984,0.00033090592,0.0000132750965,0.00007888611],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00093711354,0.000116519135,0.00014550093,0.00007888515,0.00016378106,0.000010957627,0.0007125815,0.00012537486,0.0011430444],"category_scores_gemma":[0.000048213962,0.000059437338,0.000042062355,0.00028400743,0.0008357778,0.000068352514,0.00027924826,0.00048599584,0.0004012724],"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":[0.00027780287,0.00031399046,0.89191014,0.000026475735,0.000012052914,0.000045077264,0.005340742,0.046655416,0.0535597,0.000050068695,0.00037405634,0.0014345032],"study_design_scores_gemma":[0.000719692,0.00041454437,0.86806905,0.00004530333,0.0000049026244,0.0000050849458,0.00007534677,0.00034260022,0.105467156,0.0012721213,0.023457278,0.00012690309],"about_ca_topic_score_codex":0.0004493589,"about_ca_topic_score_gemma":0.00011284538,"teacher_disagreement_score":0.051907454,"about_ca_system_score_codex":0.00006898891,"about_ca_system_score_gemma":0.000004499256,"threshold_uncertainty_score":0.99977005},"labels":[],"label_agreement":null},{"id":"W2054750681","doi":"10.1002/2013wr014792","title":"Linking groundwater use and stress to specific crops using the groundwater footprint in the Central Valley and High Plains aquifer systems, U.S.","year":2014,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":29,"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":"University of Texas at Austin","keywords":"Groundwater recharge; Aquifer; Groundwater; Environmental science; Irrigation; Water resource management; Hydrology (agriculture); Agriculture; Water use; Geology; Geography; Ecology","score_opus":0.057167283193788936,"score_gpt":0.2771026732701892,"score_spread":0.21993539007640028,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2054750681","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99542725,0.00006506168,0.00023027699,0.003116717,0.000082953215,0.00067262986,0.0000018997475,0.000016010817,0.00038720685],"genre_scores_gemma":[0.9987621,0.000073178395,0.00007533677,0.00028633565,0.00013627521,0.00005592391,0.000004835086,0.000020110345,0.00058595237],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99647737,0.0011276645,0.00024869124,0.0005290783,0.00061714806,0.0010000417],"domain_scores_gemma":[0.9991905,0.00024106745,0.000022125058,0.0004330872,0.000014167692,0.000099021345],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026491554,0.00019618892,0.00019455189,0.00013097106,0.0009982111,0.00077661965,0.0005265197,0.000082216844,0.00005261351],"category_scores_gemma":[0.000021631993,0.00008985076,0.000025289472,0.0001647925,0.0007543157,0.00017962765,0.0016726082,0.00042377235,0.000061230974],"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":[0.00020125975,0.0001399546,0.9175365,0.00008980187,0.00005817576,0.00007769039,0.06844758,0.007837152,0.0035625335,0.0005042955,0.0003844088,0.0011606377],"study_design_scores_gemma":[0.0006871491,0.0002957213,0.7373967,0.00010083629,0.000019660885,0.000029549086,0.0039112843,0.002324596,0.0009926897,0.0007463008,0.25312462,0.00037085832],"about_ca_topic_score_codex":0.008577529,"about_ca_topic_score_gemma":0.0013719477,"teacher_disagreement_score":0.25274023,"about_ca_system_score_codex":0.0000967879,"about_ca_system_score_gemma":0.0000011002386,"threshold_uncertainty_score":0.99802446},"labels":[],"label_agreement":null},{"id":"W2055144451","doi":"10.1002/2013wr014975","title":"A novel method for estimating the onset of thermal stratification in lakes from surface water measurements","year":2014,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Oceanographic and Atmospheric Processes","field":"Earth and Planetary Sciences","cited_by":55,"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 Environment Research Council; Sight Research UK; Global Lake Ecological Observatory Network; Natural Resources Wales; National Science Foundation","keywords":"Diel vertical migration; Stratification (seeds); Environmental science; Surface water; Thermal stratification; Range (aeronautics); Root mean square; Thermal; Geology; Atmospheric sciences; Soil science; Hydrology (agriculture); Climatology; Meteorology; Materials science; Oceanography; Thermocline; Geography; Geotechnical engineering; Physics","score_opus":0.089358731599463,"score_gpt":0.32265371546594734,"score_spread":0.23329498386648434,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2055144451","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9863811,0.0001043183,0.0119719105,0.00052696595,0.000037934176,0.0002927118,0.00003331849,0.000011397321,0.0006403212],"genre_scores_gemma":[0.9563357,0.0000015749679,0.04336832,0.00002751521,0.000059381488,0.0000051017983,0.00008540906,0.000004725517,0.000112244845],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99817353,0.00037975624,0.00024633348,0.00024421356,0.00053982134,0.00041633195],"domain_scores_gemma":[0.99901253,0.0005656425,0.000034847828,0.00021897482,0.00012064938,0.000047348847],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0039636735,0.0000927715,0.00014463492,0.000030588006,0.00023335985,0.000097887176,0.00043301744,0.000052648764,0.00024428952],"category_scores_gemma":[0.00012143793,0.000041956704,0.00003716883,0.00017081742,0.00015048044,0.000107016625,0.00002581506,0.0001692005,0.00002053027],"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":[0.0004714761,0.00013487045,0.58407086,0.00022984769,0.000088401095,0.0000011874668,0.02510928,0.10588394,0.21522927,0.000010513175,0.0001335211,0.06863684],"study_design_scores_gemma":[0.00096813595,0.00029646905,0.119876236,0.00010666292,0.000017431854,0.0000025027327,0.0016989671,0.69718766,0.1715873,0.0042468184,0.003756253,0.000255572],"about_ca_topic_score_codex":0.0055515002,"about_ca_topic_score_gemma":0.0018041874,"teacher_disagreement_score":0.5913037,"about_ca_system_score_codex":0.0000027263281,"about_ca_system_score_gemma":0.000013947374,"threshold_uncertainty_score":0.8392245},"labels":[],"label_agreement":null},{"id":"W2055661486","doi":"10.1029/2000wr900236","title":"Steady state mass transfer from single‐component dense nonaqueous phase liquids in uniform flow fields","year":2001,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Groundwater flow and contamination studies","field":"Environmental Science","cited_by":190,"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":"University of Waterloo; Colorado State University; Boeing","keywords":"Mass transfer; Advection; Superposition principle; Aquifer; Groundwater; Environmental science; Soil science; Geology; Mechanics; Hydrology (agriculture); Mathematics; Geotechnical engineering; Thermodynamics; Physics","score_opus":0.0447424697576397,"score_gpt":0.29525747156014936,"score_spread":0.2505150018025097,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2055661486","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9891087,0.000067727466,0.0048760893,0.0010237608,0.00005883196,0.0003343409,0.000020488635,0.00004137357,0.0044687013],"genre_scores_gemma":[0.98490334,0.00006179234,0.00016408632,0.000118422744,0.000055875884,0.00007031699,0.000036396646,0.000023963936,0.014565784],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.996919,0.00032812345,0.00038041655,0.0004981616,0.0009994402,0.0008749017],"domain_scores_gemma":[0.9992972,0.00014516106,0.000012273617,0.00034852812,0.000032957418,0.00016390007],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0008748607,0.00019777275,0.00023128954,0.00018143226,0.00026605208,0.00015547361,0.00043695627,0.000095882686,0.0024598131],"category_scores_gemma":[0.00001755273,0.00014149216,0.00006327059,0.0002952065,0.00028719698,0.00021480523,0.00029347447,0.00042329147,0.0010177776],"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":[0.0023844675,0.0021048626,0.04440044,0.000039396145,0.00012952881,0.0024225274,0.1262115,0.0052255886,0.4827119,0.0000078336825,0.0011251227,0.33323684],"study_design_scores_gemma":[0.0060806363,0.0015304161,0.013493763,0.0000855867,0.000019758101,0.000026938429,0.0035534555,0.018006753,0.13074283,0.0009955296,0.8246055,0.0008588276],"about_ca_topic_score_codex":0.0042656786,"about_ca_topic_score_gemma":0.0041937446,"teacher_disagreement_score":0.82348037,"about_ca_system_score_codex":0.0003047587,"about_ca_system_score_gemma":0.0000050518747,"threshold_uncertainty_score":0.99976003},"labels":[],"label_agreement":null},{"id":"W2062154646","doi":"10.1002/2014wr016045","title":"Soil water storage, rainfall and runoff relationships in a tropical dry forest catchment","year":2014,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":78,"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":"Antecedent moisture; Surface runoff; Streamflow; Environmental science; Hydrology (agriculture); Water storage; Water content; Dry season; Drainage basin; Antecedent (behavioral psychology); Soil water; Wet season; Runoff curve number; Soil science; Geography; Geology; Ecology","score_opus":0.033555001618654434,"score_gpt":0.27517549775051947,"score_spread":0.24162049613186504,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2062154646","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.981271,0.000021095631,0.00006684341,0.0052967668,0.00002954532,0.00027108382,5.5388983e-7,0.000026212983,0.01301689],"genre_scores_gemma":[0.99251896,0.000020937476,0.000076686374,0.00014309847,0.00005112799,0.00008786857,0.000008164887,0.0000136742065,0.007079493],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.997407,0.00070565456,0.00021244481,0.00043318883,0.0004565514,0.00078513817],"domain_scores_gemma":[0.99946785,0.00012016468,0.000011198424,0.00027731474,0.000008204318,0.00011525069],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0020350018,0.00013510737,0.00016550269,0.00017124457,0.0005418974,0.00006329383,0.00026179195,0.0001015222,0.00037109666],"category_scores_gemma":[0.000058321773,0.00007910663,0.000027948061,0.00011074328,0.00065938465,0.00013217721,0.001111886,0.00051833276,0.0011346217],"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":[0.0000845901,0.00007166375,0.97944844,0.00002171443,0.000015304293,0.000024894976,0.01486686,0.0028181921,0.0008915737,0.00009794566,0.0010838246,0.0005749759],"study_design_scores_gemma":[0.0009109833,0.00020394329,0.7725926,0.00001587532,0.0000075968305,0.0000023290143,0.0004677625,0.0041843145,0.0014107482,0.005776292,0.2142088,0.0002187485],"about_ca_topic_score_codex":0.0010880618,"about_ca_topic_score_gemma":0.002519042,"teacher_disagreement_score":0.21312498,"about_ca_system_score_codex":0.000100510246,"about_ca_system_score_gemma":0.0000011999173,"threshold_uncertainty_score":0.9996431},"labels":[],"label_agreement":null},{"id":"W2064423049","doi":"10.1029/2011wr010705","title":"Forest harvesting effects on the magnitude and frequency of peak flows can increase with return period","year":2011,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Sediment Transport Processes","field":"Environmental Science","cited_by":56,"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","funders":"Natural Resources Canada; U.S. Department of Agriculture","keywords":"Watershed; Environmental science; Hydrology (agriculture); Surface runoff; Return period; Magnitude (astronomy); Snow; Drainage basin; Rainwater harvesting; Geography; Ecology; Meteorology; Geology; Flood myth; Computer science","score_opus":0.028389638280250123,"score_gpt":0.24053587385453193,"score_spread":0.2121462355742818,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2064423049","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9829218,0.00004105237,0.0000021266467,0.0004392821,0.0000064873307,0.000285387,0.00000261352,0.000015617046,0.016285678],"genre_scores_gemma":[0.999126,0.000006529536,0.00016901789,0.00008825551,0.00001950915,0.00004945189,0.0000038236362,0.000013734559,0.0005236818],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998422,0.00027684582,0.00012912248,0.00028380458,0.00046602442,0.00042216125],"domain_scores_gemma":[0.9994279,0.00015480859,0.000022802975,0.00025926146,0.000019398018,0.000115843264],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0010566574,0.00011605776,0.00012163533,0.00005844336,0.00034556215,0.000026886079,0.00034063743,0.00006532051,0.000914982],"category_scores_gemma":[0.000075488686,0.000055314646,0.000018242248,0.00014634132,0.0007464217,0.00009142375,0.00013036381,0.0003800221,0.000050629587],"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":[0.0002704321,0.00009877148,0.94849926,0.00011408865,0.000027323014,0.00017690781,0.024044637,0.000039024988,0.02533639,0.000059247912,0.000032147193,0.0013017943],"study_design_scores_gemma":[0.0010279083,0.0027464346,0.7999764,0.00025678787,0.00004757021,0.00006483541,0.001031693,0.0004836664,0.1876121,0.0025689197,0.0037670368,0.00041663644],"about_ca_topic_score_codex":0.007243602,"about_ca_topic_score_gemma":0.0056155412,"teacher_disagreement_score":0.16227572,"about_ca_system_score_codex":0.000019429948,"about_ca_system_score_gemma":0.000007752804,"threshold_uncertainty_score":0.99999833},"labels":[],"label_agreement":null},{"id":"W2064539882","doi":"10.1029/2010wr009684","title":"Effects of aspen harvesting on groundwater recharge and water table dynamics in a subhumid climate","year":2011,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":40,"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; University of Alberta","funders":"","keywords":"Water table; Groundwater recharge; Evapotranspiration; Environmental science; Waterlogging (archaeology); Hydrology (agriculture); Precipitation; Soil water; Water content; Vadose zone; Groundwater; Water cycle; Soil texture; Water storage; Soil science; Geology; Wetland; Aquifer; Geography; Ecology; Meteorology","score_opus":0.02857956432582126,"score_gpt":0.2527756567608666,"score_spread":0.22419609243504535,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2064539882","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9749035,0.000014897841,0.000012731033,0.00005118899,0.000027431946,0.000368101,0.000007051525,0.000020663705,0.024594417],"genre_scores_gemma":[0.9969139,0.000044294015,0.00019222453,0.000019006844,0.000011142185,0.00004365996,0.000028295111,0.000026467776,0.0027209704],"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9976469,0.0002973602,0.00028695588,0.00041171582,0.0004845478,0.00087249925],"domain_scores_gemma":[0.9994946,0.00008849467,0.000026696282,0.0002626581,0.000014857197,0.00011269778],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015809494,0.00015861043,0.00020785508,0.00023799986,0.00016860163,0.000070232956,0.00031395844,0.00011842201,0.00038319858],"category_scores_gemma":[0.000023124901,0.000094673,0.000030725816,0.00019353909,0.0002816637,0.00022909472,0.0006931748,0.00040190428,0.00031758458],"study_design_candidate":"bench_or_experimental","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":[0.0008087639,0.0009343049,0.74793714,0.00057893014,0.000050047416,0.0004643174,0.035677556,0.0007093645,0.20448479,0.0007219469,0.000049982158,0.0075828447],"study_design_scores_gemma":[0.002542975,0.0015100935,0.10783601,0.00050512806,0.00003304905,0.000075772594,0.000681545,0.066558525,0.80656874,0.0060922676,0.0065965904,0.0009992991],"about_ca_topic_score_codex":0.0047270437,"about_ca_topic_score_gemma":0.0011413347,"teacher_disagreement_score":0.64010113,"about_ca_system_score_codex":0.00020450362,"about_ca_system_score_gemma":0.0000021729375,"threshold_uncertainty_score":0.7145907},"labels":[],"label_agreement":null},{"id":"W2065450689","doi":"10.1002/2014wr015279","title":"Statistical emulation of streamflow projections from a distributed hydrological model: Application to CMIP3 and CMIP5 climate projections for <scp>B</scp> ritish <scp>C</scp> olumbia, <scp>C</scp> anada","year":2014,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":43,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Pacific Institute for Climate Solutions; University of Victoria","funders":"U.S. Department of Energy","keywords":"Streamflow; Coupled model intercomparison project; Downscaling; Environmental science; Emulation; Climate change; Climatology; Climate model; Precipitation; Meteorology; Computer science; Drainage basin; Geography; Geology","score_opus":0.024412308903571538,"score_gpt":0.28941966545142206,"score_spread":0.2650073565478505,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2065450689","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9400037,0.000022860353,0.052186202,0.00038840016,0.0000469092,0.0022536567,0.00083487044,0.00013369705,0.004129734],"genre_scores_gemma":[0.9926598,0.00007039842,0.002902663,0.00011403291,0.000112277616,0.00140719,0.0006568063,0.000045151115,0.002031662],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.995577,0.0005431161,0.0005737861,0.0011634977,0.00083035853,0.0013122467],"domain_scores_gemma":[0.9967989,0.0021493959,0.000113649374,0.00052413973,0.00009879808,0.00031513616],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0014619002,0.0003184786,0.0004707676,0.00026590275,0.0013294835,0.00018013366,0.00046760737,0.00027900716,0.000030055378],"category_scores_gemma":[0.0017571889,0.00027475483,0.000090811176,0.0005475619,0.000871518,0.00025420776,0.0010129857,0.00046812458,0.00014926931],"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":[0.00024015528,0.0034351656,0.49523172,0.00092468935,0.0008784456,0.000045953773,0.05377631,0.19872236,0.06281251,0.0025772739,0.16853562,0.012819793],"study_design_scores_gemma":[0.0024855998,0.0018931229,0.11053413,0.00007181507,0.00021049977,0.0000135077435,0.00406851,0.5730549,0.008399295,0.028402597,0.27066052,0.00020548748],"about_ca_topic_score_codex":0.004065618,"about_ca_topic_score_gemma":0.0027053158,"teacher_disagreement_score":0.3846976,"about_ca_system_score_codex":0.00017212478,"about_ca_system_score_gemma":0.000013084753,"threshold_uncertainty_score":0.9999707},"labels":[],"label_agreement":null},{"id":"W2067359541","doi":"10.1029/2010wr009675","title":"Impact of low‐temperature electrical resistance heating on subsurface flow and transport","year":2011,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Geophysical and Geoelectrical Methods","field":"Earth and Planetary Sciences","cited_by":34,"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 Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Strategic Environmental Research and Development Program","keywords":"Electrical resistivity and conductivity; Flow (mathematics); TRACER; Diffusion; Viscosity; Mechanics; Materials science; Flow conditions; Environmental science; Electrical resistance and conductance; Thermodynamics; Soil science; Electrical engineering; Physics; Composite material","score_opus":0.040885718503313566,"score_gpt":0.2989398098430975,"score_spread":0.2580540913397839,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2067359541","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9932267,0.00032939197,0.0000055490814,0.00005919894,0.000015494024,0.00016370958,0.000023516963,0.000019043086,0.006157392],"genre_scores_gemma":[0.9976822,0.000024404486,0.0009699377,0.000016155693,0.00006063613,0.0000016665766,0.000014534506,0.000005634094,0.0012248133],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9976035,0.0004594623,0.00024620976,0.00036809687,0.0006100794,0.00071270263],"domain_scores_gemma":[0.99911475,0.00029785433,0.00002304467,0.00021462947,0.000102261656,0.00024743893],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010254966,0.00014770779,0.00026448705,0.00015913488,0.0002066945,0.000031131956,0.0002581246,0.000113501395,0.0008580734],"category_scores_gemma":[0.0000913425,0.00008044895,0.00009898799,0.0005847393,0.00019707969,0.00007460799,0.000013471759,0.00063602085,0.00007203751],"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":[0.0034060671,0.0002851341,0.8970421,0.0001871829,0.00008569644,0.00011308183,0.007650094,0.0008484344,0.014728788,0.000037295405,0.00019607025,0.07542009],"study_design_scores_gemma":[0.00022235395,0.0012937317,0.9733719,0.00003210477,0.0000042449465,0.0000030181836,0.000024418037,0.0011089351,0.022134535,0.0013058094,0.00035922587,0.000139719],"about_ca_topic_score_codex":0.0021952044,"about_ca_topic_score_gemma":0.0002288645,"teacher_disagreement_score":0.07632984,"about_ca_system_score_codex":0.0000067848055,"about_ca_system_score_gemma":0.000018896211,"threshold_uncertainty_score":0.9395302},"labels":[],"label_agreement":null},{"id":"W2069533892","doi":"10.1029/2010wr009240","title":"Bayesian conditioning of a rainfall‐runoff model for predicting flows in ungauged catchments and under land use changes","year":2011,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":61,"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":"Natural Environment Research Council; Sight Research UK","keywords":"Runoff curve number; Surface runoff; Base flow; Environmental science; Hydrology (agriculture); Runoff model; Bayesian probability; Land use; Soil conservation; Drainage basin; Soil science; Statistics; Mathematics; Agriculture; Geography; Geology; Geotechnical engineering; Engineering; Cartography; Ecology","score_opus":0.08749123859988012,"score_gpt":0.30320240706210344,"score_spread":0.21571116846222332,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2069533892","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99723095,0.000016289852,0.00061317865,0.00035453253,0.000011722063,0.0004404192,0.000009275069,0.000012800067,0.0013108248],"genre_scores_gemma":[0.9977408,0.000022798546,0.0006136001,0.00006261043,0.0000110046385,0.00011556532,0.000009961004,0.000011022421,0.001412641],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987729,0.00012303768,0.00014892437,0.00027383733,0.0002314955,0.00044976012],"domain_scores_gemma":[0.99969447,0.00008041756,0.000023572293,0.00013599364,0.000011819654,0.000053713575],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001017554,0.000090630645,0.00013872904,0.00014608965,0.00024543892,0.000022168248,0.00014961339,0.000059457063,0.00011137808],"category_scores_gemma":[0.000032446365,0.00006573923,0.000017534616,0.000091758135,0.00030718854,0.00014762874,0.00045582303,0.00013602895,0.000008393737],"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":[0.00023942556,0.000090241316,0.9205069,0.00007096028,0.000056329933,0.0000078917,0.066290386,0.007500704,0.004765664,0.000027071754,0.0001809704,0.00026343515],"study_design_scores_gemma":[0.004434635,0.000832877,0.3121104,0.00017869628,0.00005712156,0.000004748276,0.0036041199,0.6392444,0.019001149,0.016182123,0.003763855,0.0005858683],"about_ca_topic_score_codex":0.0018488948,"about_ca_topic_score_gemma":0.002857759,"teacher_disagreement_score":0.63174367,"about_ca_system_score_codex":0.000038433758,"about_ca_system_score_gemma":0.0000017112488,"threshold_uncertainty_score":0.27949882},"labels":[],"label_agreement":null},{"id":"W2070078376","doi":"10.1029/2011wr010775","title":"Analysis of matrix effects critical to microbial transport in organic waste‐affected soils across laboratory and field scales","year":2012,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Groundwater flow and contamination studies","field":"Environmental Science","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Soil water; Manure; Soil science; Vadose zone; Environmental science; Hydraulic conductivity; Chemistry; Filtration (mathematics); Groundwater; Environmental chemistry; Environmental engineering; Geotechnical engineering; Agronomy; Geology","score_opus":0.013771168975962563,"score_gpt":0.3193867593816091,"score_spread":0.3056155904056465,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2070078376","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.999065,0.00011649669,0.00017415713,0.00032002578,0.000028076964,0.00019293693,0.0000128693355,0.000010956138,0.00007949132],"genre_scores_gemma":[0.99912345,0.000006060554,0.000046337685,0.00005566842,0.000029598516,0.00002916781,0.000004994839,0.000009477279,0.0006952209],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9981743,0.00027952928,0.00020657729,0.00025472362,0.00044203567,0.0006428486],"domain_scores_gemma":[0.9993542,0.0002638026,0.0000106624875,0.0001817443,0.000035464745,0.00015413831],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011705884,0.00010534432,0.0002576222,0.00022642412,0.00014917491,0.000034938268,0.00018296015,0.00007656827,0.00037760596],"category_scores_gemma":[0.00009809997,0.00007608564,0.000044437813,0.0009562664,0.00027640816,0.00014819526,0.00030085805,0.00017439389,0.00008698787],"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":[0.000049023714,0.00010088814,0.5834784,0.000056427278,0.00005322563,0.000008593259,0.017558219,0.000017071781,0.39691117,0.000002425399,0.00006066489,0.0017038938],"study_design_scores_gemma":[0.00025872578,0.00011890395,0.74372065,0.00001944026,0.000040003353,8.50922e-7,0.0010487435,0.000053825846,0.2520666,0.0000026719265,0.0025471924,0.00012239855],"about_ca_topic_score_codex":0.00073547947,"about_ca_topic_score_gemma":0.0020961016,"teacher_disagreement_score":0.16024223,"about_ca_system_score_codex":0.00006140296,"about_ca_system_score_gemma":0.0000022271984,"threshold_uncertainty_score":0.41345206},"labels":[],"label_agreement":null},{"id":"W2071436580","doi":"10.1029/2011wr010809","title":"Viscosity dependent dual‐permeability modeling of liquid manure movement in layered, macroporous, tile drained soil","year":2012,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Soil and Unsaturated Flow","field":"Engineering","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ministry of Agriculture, Food and Rural Affairs; University of Waterloo; Agriculture and Agri-Food Canada","funders":"","keywords":"Macropore; Soil science; Loam; Permeability (electromagnetism); Soil water; Soil horizon; Viscosity; Environmental science; Materials science; Chemistry; Composite material","score_opus":0.03226611240217373,"score_gpt":0.2795555307974132,"score_spread":0.24728941839523946,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2071436580","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99462646,0.00058112404,0.000117225645,0.000102639126,0.00011269619,0.00030471841,0.000015607444,0.00010062491,0.0040388997],"genre_scores_gemma":[0.99907875,0.000055435252,0.000085110376,0.000015648731,0.0001643357,0.000054991153,0.000023306538,0.000044226006,0.00047818606],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9971857,0.00022561758,0.0004264185,0.00027413212,0.00080538564,0.0010827108],"domain_scores_gemma":[0.9991386,0.000050145976,0.000015334495,0.000478516,0.0001202772,0.00019710956],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018655689,0.00019940523,0.000281354,0.00029651623,0.00010554772,0.000047490554,0.00030597672,0.00017972697,0.00022537762],"category_scores_gemma":[0.000033175278,0.00015062971,0.00007198135,0.00025957456,0.00008620514,0.0001883779,0.00027263816,0.00068511284,0.000094918745],"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":[0.0008285812,0.00064190535,0.015314606,0.0008259634,0.00013889768,0.000055493143,0.034736127,0.64686614,0.29806963,0.00006104814,0.0003944943,0.002067138],"study_design_scores_gemma":[0.0012388562,0.0002168129,0.0021872849,0.0001359232,0.000011481394,0.000008200492,0.0019011213,0.4867661,0.50400376,0.00034797654,0.0026964413,0.00048606368],"about_ca_topic_score_codex":0.0013424376,"about_ca_topic_score_gemma":0.00033050284,"teacher_disagreement_score":0.2059341,"about_ca_system_score_codex":0.00022629951,"about_ca_system_score_gemma":0.000012182872,"threshold_uncertainty_score":0.6142501},"labels":[],"label_agreement":null},{"id":"W2073539152","doi":"10.1029/2011wr010419","title":"Experimental evidence for the effect of hydrographs on sediment pulse dynamics in gravel‐bedded rivers","year":2011,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Sediment Transport Processes","field":"Environmental Science","cited_by":86,"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":"","keywords":"Hydrograph; Sediment; Sediment transport; Hydrology (agriculture); Channel (broadcasting); Geology; Entrainment (biomusicology); Flow (mathematics); Dispersion (optics); Bed load; Environmental science; Geomorphology; Soil science; Surface runoff; Geotechnical engineering; Mechanics; Engineering","score_opus":0.06258876328755493,"score_gpt":0.32971468384788305,"score_spread":0.26712592056032813,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2073539152","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9961328,0.00018946559,0.000023589424,0.0001576744,0.00004318865,0.0009069551,0.000004131843,0.000013634248,0.0025285834],"genre_scores_gemma":[0.9993324,0.000026522814,0.000047725553,0.000030203446,0.000015820955,0.00028870566,0.00000624551,0.000013901104,0.00023844374],"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9979493,0.00028303912,0.00022399626,0.00037144555,0.0006088785,0.000563313],"domain_scores_gemma":[0.99902606,0.0005428469,0.00002873636,0.0003144705,0.000009788026,0.00007811992],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0021555847,0.00014533704,0.00018090503,0.00013759705,0.00022615635,0.0000136602175,0.0006378975,0.00008873814,0.0010813517],"category_scores_gemma":[0.000039380742,0.00007889138,0.00008949318,0.00029104785,0.00087328267,0.00011817405,0.00015515393,0.00027440302,0.0000913924],"study_design_candidate":"bench_or_experimental","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":[0.01044897,0.0008174156,0.8621261,0.00020618431,0.00014608202,0.00008238337,0.049500033,0.002679068,0.063897744,0.00012094609,0.00027380546,0.009701267],"study_design_scores_gemma":[0.0012301238,0.0038646543,0.018313047,0.000081059974,0.00001931994,0.0000022003012,0.0007089277,0.0042156265,0.9699386,0.00025723662,0.0011994499,0.00016978936],"about_ca_topic_score_codex":0.0015024176,"about_ca_topic_score_gemma":0.00024050898,"teacher_disagreement_score":0.90604085,"about_ca_system_score_codex":0.00014709032,"about_ca_system_score_gemma":0.000003779239,"threshold_uncertainty_score":0.9998318},"labels":[],"label_agreement":null},{"id":"W2077112019","doi":"10.1002/2013wr013534","title":"Measuring miscible fluid displacement in porous media with magnetic resonance imaging","year":2014,"lang":"en","type":"article","venue":"Water Resources Research","topic":"NMR spectroscopy and applications","field":"Physics and Astronomy","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 New Brunswick","funders":"","keywords":"Porous medium; Saturation (graph theory); Materials science; Porosity; Displacement (psychology); Dispersion (optics); TRACER; Nuclear magnetic resonance; Optics; Composite material; Physics","score_opus":0.024188276344915823,"score_gpt":0.3176740971206921,"score_spread":0.2934858207757763,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2077112019","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96953315,0.00031221312,0.00039096602,0.0008572529,0.000011790523,0.0002799871,0.0000054926004,0.000022237891,0.028586933],"genre_scores_gemma":[0.99766976,0.00000311931,0.00030621683,0.000015622223,0.00021421714,0.00019529178,0.000015307718,0.000024734965,0.0015557057],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.998068,0.0001585272,0.000181043,0.00037143807,0.0005265206,0.00069452304],"domain_scores_gemma":[0.9993446,0.000086336106,0.00001686629,0.00037755427,0.000064620675,0.000110052875],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00083609426,0.0001260763,0.0001394052,0.00016689251,0.0002543088,0.00014062732,0.00033891175,0.00001703162,0.00045087008],"category_scores_gemma":[0.000006099247,0.00008607611,0.000024211484,0.00026618887,0.00014936153,0.00008057019,0.00015346428,0.00032673244,0.00018662518],"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":[0.00035925908,0.00056987995,0.79541034,0.00006930287,0.000018894903,0.000022347109,0.01461143,0.00046289375,0.104331344,0.01727563,0.0014129186,0.06545577],"study_design_scores_gemma":[0.0038067056,0.00036546652,0.09066927,0.0005049617,0.000016772758,0.000006869215,0.0032721357,0.0076310975,0.31801462,0.012280916,0.5625348,0.0008963523],"about_ca_topic_score_codex":0.0012230634,"about_ca_topic_score_gemma":0.00014326982,"teacher_disagreement_score":0.70474106,"about_ca_system_score_codex":0.00004595538,"about_ca_system_score_gemma":0.000016331316,"threshold_uncertainty_score":0.49367112},"labels":[],"label_agreement":null},{"id":"W2078701416","doi":"10.1029/2000wr900119","title":"A numerically based analysis of the sensitivity of conventional and alternative time domain reflectometry probes","year":2000,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Soil Moisture and Remote Sensing","field":"Environmental Science","cited_by":41,"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; University of Waterloo","funders":"","keywords":"Reflectometry; Water content; Rod; Materials science; Soil water; Time domain; Calibration; Optics; Composite material; Soil science; Environmental science; Geology; Mathematics; Physics; Geotechnical engineering","score_opus":0.01743729158171253,"score_gpt":0.2919938111716913,"score_spread":0.2745565195899788,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2078701416","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9849345,0.000013171917,0.00003706193,0.0003589391,0.000004720704,0.00012920372,0.0000045788993,0.000004566218,0.014513221],"genre_scores_gemma":[0.99809414,0.0000028033705,0.0003742665,0.00003465079,0.000011968472,7.235383e-7,0.0000038451667,0.00000569581,0.0014718781],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9978259,0.00079416216,0.00016315821,0.00022033717,0.00077310385,0.00022333927],"domain_scores_gemma":[0.9994513,0.00021614356,0.000034760185,0.00021780028,0.000030243646,0.00004978863],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0013700655,0.0000697863,0.00018443675,0.00015479821,0.000121763944,0.000016592565,0.00013825877,0.000041366486,0.0009818582],"category_scores_gemma":[0.00003794578,0.00003677059,0.000101720674,0.0009617048,0.00088878896,0.000033910193,0.00016095403,0.00015483813,0.000037962716],"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":[0.00034783327,0.00027131318,0.19984905,0.000034950008,0.00050066446,0.000024253855,0.006568715,0.006727137,0.7566487,0.0000060326147,0.00017762123,0.028843699],"study_design_scores_gemma":[0.00036259627,0.000106991494,0.7932926,0.00003749617,0.00008314613,0.0000059324084,0.000113035945,0.032423787,0.16832305,0.00037517736,0.0047622374,0.000113975766],"about_ca_topic_score_codex":0.001983618,"about_ca_topic_score_gemma":0.00028260043,"teacher_disagreement_score":0.5934435,"about_ca_system_score_codex":0.00004080201,"about_ca_system_score_gemma":0.000005197369,"threshold_uncertainty_score":0.9999314},"labels":[],"label_agreement":null},{"id":"W2081133538","doi":"10.1029/2001wr000234","title":"Reactive transport modeling of an in situ reactive barrier for the treatment of hexavalent chromium and trichloroethylene in groundwater","year":2001,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Environmental remediation with nanomaterials","field":"Engineering","cited_by":160,"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 British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Government of Canada; Pacific Northwest National Laboratory; U.S. Environmental Protection Agency","keywords":"Permeable reactive barrier; Hexavalent chromium; Environmental remediation; Groundwater; Aquifer; Zerovalent iron; Sulfate; Chemistry; Environmental chemistry; Chromium; Contamination; Geology; Adsorption; Geotechnical engineering","score_opus":0.04042988703043895,"score_gpt":0.29179440606317686,"score_spread":0.25136451903273793,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2081133538","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9983992,0.0003555986,0.000102449136,0.0000444376,0.00002611066,0.00089097256,0.00001655435,0.00001089249,0.00015375741],"genre_scores_gemma":[0.9986656,0.00080329773,0.000104694824,0.0000018416658,0.00004277559,0.00024024051,0.000021192312,0.00003179299,0.00008861959],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9986034,0.00011446794,0.00038421262,0.00021969235,0.000317151,0.0003610664],"domain_scores_gemma":[0.9994875,0.00017294612,0.000022916025,0.00022609397,0.000030249572,0.00006030331],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00080245547,0.00013388884,0.00027685953,0.0003090957,0.00003580673,0.000012402542,0.00013151791,0.000082473955,0.000023374381],"category_scores_gemma":[0.000011526356,0.00008247643,0.000039404214,0.00013593526,0.00010969727,0.0001567611,0.000019056453,0.00009395258,0.0000015025618],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00070373935,0.0002404536,0.006510008,0.00006730442,0.00004379291,0.00001141881,0.026438016,0.032072987,0.9321394,0.000001313442,4.0570896e-7,0.0017711947],"study_design_scores_gemma":[0.0018733852,0.00062622986,0.022006081,0.00004059509,0.000013538353,0.0000031066988,0.0019281246,0.03925293,0.9332327,0.00008554728,0.00081968843,0.000118033735],"about_ca_topic_score_codex":0.0009251315,"about_ca_topic_score_gemma":0.0005416043,"teacher_disagreement_score":0.024509892,"about_ca_system_score_codex":0.00025432318,"about_ca_system_score_gemma":0.0000066050366,"threshold_uncertainty_score":0.33632913},"labels":[],"label_agreement":null},{"id":"W2081263943","doi":"10.1029/2001wr000225","title":"Fluvial aggradation in Vedder River: Testing a one‐dimensional sedimentation model","year":2001,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Sediment Transport Processes","field":"Environmental Science","cited_by":41,"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":"Aggradation; Geology; Disequilibrium; Fluvial; Channel (broadcasting); Geotechnical engineering; Computer science; Geomorphology","score_opus":0.07733543436009899,"score_gpt":0.31185549497373444,"score_spread":0.23452006061363545,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2081263943","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99235755,0.00002236475,0.00014035706,0.00095745304,0.00001845098,0.00022810926,0.0000016667682,0.00003531562,0.0062387497],"genre_scores_gemma":[0.99710894,0.0000100400775,0.0012197085,0.000192875,0.000042607626,0.00004438082,0.000042106785,0.00001348925,0.0013258359],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99784607,0.00015414896,0.0002298619,0.00039068348,0.0008138235,0.0005653908],"domain_scores_gemma":[0.99962217,0.00008730613,0.00002181447,0.00014864877,0.000026559524,0.00009349102],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0010826628,0.00010744102,0.00010944453,0.0001624756,0.00030654267,0.00003203698,0.00022880264,0.00009745094,0.0018057461],"category_scores_gemma":[0.000036888934,0.000086457585,0.000022235341,0.00040864598,0.0003300155,0.00033276866,0.00014075969,0.00034657033,0.00080105645],"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":[0.00049092073,0.0005503416,0.5006806,0.000027102058,0.000018796407,0.00012566158,0.01658726,0.30779305,0.16481775,0.000025683212,0.00057864445,0.008304178],"study_design_scores_gemma":[0.0035606702,0.00062100234,0.15147394,0.00013359693,0.000027161495,0.000043414642,0.00036904152,0.7367449,0.06597501,0.016119353,0.024127714,0.00080423255],"about_ca_topic_score_codex":0.0013546352,"about_ca_topic_score_gemma":0.0002414107,"teacher_disagreement_score":0.4289518,"about_ca_system_score_codex":0.00011414622,"about_ca_system_score_gemma":0.000011301939,"threshold_uncertainty_score":0.99997693},"labels":[],"label_agreement":null},{"id":"W2081670007","doi":"10.1029/2010wr009945","title":"Comparison of multiple linear and nonlinear regression, autoregressive integrated moving average, artificial neural network, and wavelet artificial neural network methods for urban water demand forecasting in Montreal, Canada","year":2011,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrological Forecasting Using AI","field":"Environmental Science","cited_by":490,"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","funders":"Fonds Québécois de la Recherche sur la Nature et les Technologies","keywords":"Autoregressive integrated moving average; Artificial neural network; Mean squared error; Wavelet; Autoregressive model; Linear regression; Statistics; Econometrics; Demand forecasting; Moving average; Computer science; Environmental science; Meteorology; Mathematics; Time series; Artificial intelligence; Geography; Operations research","score_opus":0.12572098077634136,"score_gpt":0.3559706911852541,"score_spread":0.23024971040891273,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2081670007","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9982603,0.00013493348,0.00044800015,0.00016802539,0.00013597662,0.0006703013,0.000014718207,0.000029974504,0.00013773062],"genre_scores_gemma":[0.98303723,0.0000036026443,0.016345609,0.000041903448,0.00028430595,0.000046499183,0.00004613414,0.000044147597,0.0001505389],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99521863,0.0011547303,0.00082751125,0.00076205994,0.0005224287,0.0015146412],"domain_scores_gemma":[0.99840194,0.00078389473,0.00014490153,0.00029548368,0.00008453887,0.00028926003],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0030722,0.00033594779,0.0006210255,0.00011609782,0.0006678123,0.00009414524,0.00037161395,0.00022248467,0.00014196709],"category_scores_gemma":[0.00057189167,0.00020041276,0.000060261187,0.000292548,0.0007446467,0.00016638257,0.0008530014,0.00081178744,0.0000032010985],"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":[0.0025844143,0.00025104248,0.4592338,0.00012468931,0.00005576419,0.00015559714,0.024278868,0.4033152,0.019371193,0.0000041778644,0.0016298892,0.08899539],"study_design_scores_gemma":[0.00037519602,0.00034832885,0.00879173,0.00010231973,0.000013328127,0.000013167446,0.0002021613,0.96714807,0.020376023,0.00043343907,0.0019363518,0.0002598648],"about_ca_topic_score_codex":0.17566702,"about_ca_topic_score_gemma":0.24262571,"teacher_disagreement_score":0.5638329,"about_ca_system_score_codex":0.00013179134,"about_ca_system_score_gemma":0.00002033356,"threshold_uncertainty_score":0.8298223},"labels":[],"label_agreement":null},{"id":"W2082318860","doi":"10.1029/2000wr900357","title":"Trends in Canadian streamflow","year":2001,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":718,"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":"Streamflow; Percentile; Climatology; Environmental science; Drainage basin; Spring (device); Climate change; Distribution (mathematics); Physical geography; Geography; Hydrology (agriculture); Geology; Oceanography; Statistics","score_opus":0.03639329551263015,"score_gpt":0.304723960346395,"score_spread":0.26833066483376483,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2082318860","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7281292,0.000015060691,4.5105082e-7,0.0043297517,0.000018046134,0.00006254088,8.5915036e-7,0.000012488934,0.2674316],"genre_scores_gemma":[0.9597352,0.000029204872,0.000013288644,0.00015833825,0.000029422035,0.000028203645,0.000008407863,0.000008600524,0.039989334],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99795574,0.00017492347,0.0001128502,0.00029963595,0.00033214447,0.0011247207],"domain_scores_gemma":[0.9995498,0.000019929963,0.000005055121,0.00022533622,0.000004464581,0.00019542927],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0010740387,0.00008703974,0.00009477033,0.0005193135,0.00030791727,0.000035801266,0.00033363525,0.00006193056,0.009953674],"category_scores_gemma":[0.000012876727,0.000059788155,0.000024886676,0.0005176563,0.00031529926,0.00009657638,0.00035929255,0.0002541531,0.0033481957],"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":[0.00003138433,0.000038623635,0.96767175,0.0000021720452,0.000009783499,0.00035016215,0.005026394,0.00082738907,0.0002484568,0.000014776516,0.01119563,0.014583497],"study_design_scores_gemma":[0.00018189146,0.00004701304,0.200025,0.0000030471062,0.0000012288144,0.0000032129856,0.00016229643,0.00032863644,0.00023212524,0.00037860151,0.7985491,0.000087829976],"about_ca_topic_score_codex":0.5684109,"about_ca_topic_score_gemma":0.7679456,"teacher_disagreement_score":0.78735346,"about_ca_system_score_codex":0.00024733235,"about_ca_system_score_gemma":0.00000243795,"threshold_uncertainty_score":0.9974278},"labels":[],"label_agreement":null},{"id":"W2082787430","doi":"10.1029/1999wr900338","title":"Eddy covariance measurements of evaporation from Great Slave Lake, Northwest Territories, Canada","year":2000,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Meteorological Phenomena and Simulations","field":"Earth and Planetary Sciences","cited_by":213,"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":"Eddy covariance; Sensible heat; Thermocline; Latent heat; Flux (metallurgy); Geology; Atmospheric sciences; Evaporation; Climatology; Environmental science; Atmosphere (unit); Hydrology (agriculture); Meteorology; Geography","score_opus":0.08282607769497707,"score_gpt":0.27300343802175675,"score_spread":0.19017736032677968,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2082787430","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9905929,0.00013873674,0.0000061351734,0.00024451947,0.00008781889,0.00019379401,0.00059330236,0.000012145476,0.00813063],"genre_scores_gemma":[0.99630517,0.000009516263,0.00020670368,0.000053568572,0.00019499031,0.0000029277724,0.0014471727,0.0000033555268,0.0017766054],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.997556,0.0003775968,0.0002750189,0.00027855238,0.0010948045,0.00041803543],"domain_scores_gemma":[0.99921685,0.00017621147,0.000027872153,0.00027003116,0.00014883628,0.00016019867],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006345685,0.00010390785,0.00016980314,0.000062889034,0.0002965406,0.000070235394,0.00032128385,0.00006203851,0.024855297],"category_scores_gemma":[0.000047652877,0.00006667904,0.000026687074,0.00022165959,0.00013229164,0.0001250424,0.000015241645,0.0001926182,0.00013207171],"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":[0.000231804,0.000026136042,0.94821876,0.000012430008,0.000038602044,0.000018773626,0.0011074813,0.03521503,0.00037497713,0.0000025216384,0.00049690227,0.014256604],"study_design_scores_gemma":[0.00049061637,0.00023273057,0.7035256,0.000018486646,0.000010098319,9.911349e-7,0.0000766855,0.0035801216,0.0019076081,0.0010731308,0.288893,0.00019088261],"about_ca_topic_score_codex":0.9255495,"about_ca_topic_score_gemma":0.9851392,"teacher_disagreement_score":0.28839612,"about_ca_system_score_codex":0.00001628544,"about_ca_system_score_gemma":0.00008013901,"threshold_uncertainty_score":0.97603613},"labels":[],"label_agreement":null},{"id":"W2083086706","doi":"10.1002/2013wr014663","title":"Comparison of upscaled models for multistage mass discharge from DNAPL source zones","year":2014,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Groundwater flow and contamination studies","field":"Environmental Science","cited_by":20,"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 Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Soil science; Permeability (electromagnetism); Calibration; Relative permeability; Environmental science; Geology; Petroleum engineering; Geotechnical engineering; Mathematics; Chemistry; Statistics","score_opus":0.06738046032867906,"score_gpt":0.3414628187524987,"score_spread":0.2740823584238196,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2083086706","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.69800556,0.000045316374,0.30044758,0.00026660343,0.000030948515,0.00030130046,0.000023269766,0.00002368614,0.000855762],"genre_scores_gemma":[0.9640688,0.0000036049983,0.00152626,0.000022264074,0.00007079027,0.00013146241,0.000041293166,0.00002383885,0.034111705],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.99757606,0.00027919805,0.00034091398,0.0004243434,0.0008102404,0.0005692272],"domain_scores_gemma":[0.99913305,0.00029749668,0.000050700062,0.00035898763,0.000052930587,0.00010685207],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009922265,0.0001490621,0.00031695928,0.00008474126,0.00038395994,0.00008081253,0.00048368328,0.00007574411,0.00038245498],"category_scores_gemma":[0.000043342687,0.00010019834,0.00008831621,0.00011518495,0.00040237003,0.00016626174,0.00046692547,0.00017476089,0.00027416437],"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":[0.00061957684,0.0006994366,0.3234393,0.00017718933,0.00016822833,0.000002300654,0.09226533,0.011341186,0.36513758,0.00041901798,0.0053389966,0.20039187],"study_design_scores_gemma":[0.001308291,0.00028384037,0.013048354,0.00003096822,0.000018461187,2.9724387e-7,0.0028979671,0.2242294,0.13897982,0.0015131603,0.61737907,0.0003103754],"about_ca_topic_score_codex":0.0015529249,"about_ca_topic_score_gemma":0.00025692896,"teacher_disagreement_score":0.61204004,"about_ca_system_score_codex":0.000059841972,"about_ca_system_score_gemma":0.0000016678199,"threshold_uncertainty_score":0.41876137},"labels":[],"label_agreement":null},{"id":"W2084915522","doi":"10.1002/2014wr016161","title":"Hydrophobic organic contaminant transport property heterogeneity in the <scp>B</scp>orden <scp>A</scp>quifer","year":2015,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Groundwater flow and contamination studies","field":"Environmental Science","cited_by":26,"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; Dillon Consulting","funders":"National Science Foundation","keywords":"Aquifer; Geology; Permeability (electromagnetism); Soil science; Sorption; Aquifer properties; Grain size; Deposition (geology); Mineralogy; Hydrology (agriculture); Groundwater; Geomorphology; Geochemistry; Geotechnical engineering; Sediment; Chemistry","score_opus":0.05594310244968569,"score_gpt":0.28645173672786545,"score_spread":0.23050863427817975,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2084915522","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9878191,0.00025673318,0.00009439123,0.0004697833,0.00008232179,0.00090494804,0.0000073082306,0.000050756727,0.010314702],"genre_scores_gemma":[0.9526002,0.000041192092,0.000027355312,0.0002387545,0.000101607104,0.0002540303,0.00001810057,0.00004246429,0.046676327],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9943173,0.0009921293,0.00047664702,0.00076670194,0.0020933896,0.0013538395],"domain_scores_gemma":[0.99853,0.00034279545,0.000050226754,0.0007144636,0.00009634812,0.00026621378],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0041623823,0.00032535393,0.00036664703,0.00018709956,0.00050200045,0.00021333309,0.0013633594,0.00015287222,0.000118124626],"category_scores_gemma":[0.0002251288,0.0001539947,0.00010778286,0.00068740285,0.00073731696,0.00030267372,0.00069004425,0.00067470374,0.0023092588],"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":[0.000039584174,0.0008172337,0.65447295,0.00008906049,0.00010759987,0.0006644625,0.2287287,0.00019950786,0.08915135,0.000013439354,0.021027688,0.004688462],"study_design_scores_gemma":[0.00093558896,0.00034921672,0.13377948,0.000024964915,0.00001583924,0.000039668565,0.010884461,0.00020959198,0.028770639,0.000091743976,0.82481974,0.000079041376],"about_ca_topic_score_codex":0.0027420584,"about_ca_topic_score_gemma":0.0030844992,"teacher_disagreement_score":0.80379206,"about_ca_system_score_codex":0.0003322408,"about_ca_system_score_gemma":0.000027000504,"threshold_uncertainty_score":0.99846756},"labels":[],"label_agreement":null},{"id":"W2087349531","doi":"10.1029/1999wr900278","title":"Chloride and chlorine isotopes (<sup>36</sup>Cl and δ<sup>37</sup>Cl) as tracers of solute migration in a thick, clay‐rich aquitard system","year":2000,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Groundwater and Isotope Geochemistry","field":"Earth and Planetary Sciences","cited_by":120,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Atomic Energy (Canada); University of Saskatchewan","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Geology; Aquifer; Cretaceous; TRACER; Geochemistry; Isotope; Fractionation; Groundwater; Radiogenic nuclide; Mineralogy; Paleontology; Chemistry","score_opus":0.02164657725358573,"score_gpt":0.24850572115248631,"score_spread":0.22685914389890058,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2087349531","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98740846,0.0012123164,0.0000015477764,0.00070985936,0.000021541297,0.0005545695,0.00005797564,0.000048692757,0.009985048],"genre_scores_gemma":[0.99293107,0.0006414175,0.000062110936,0.000044904522,0.00020852241,0.000022690605,0.00014816727,0.000016994656,0.0059241275],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99619114,0.00036639068,0.0005926671,0.0007497076,0.0010034953,0.0010965865],"domain_scores_gemma":[0.9988774,0.00019887155,0.000049057555,0.00043711383,0.00011083558,0.00032669117],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0019590026,0.0003206364,0.00048584506,0.00033161702,0.00038431006,0.00034908846,0.00047452815,0.00024564404,0.0014622416],"category_scores_gemma":[0.00004658711,0.00022930554,0.00007136364,0.00046080851,0.00045681183,0.0004588414,0.00010924012,0.0006629488,0.00024745418],"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":[0.0057761446,0.00025041512,0.77991444,0.0032489095,0.00027803928,0.0005266824,0.117977716,0.023032894,0.01271825,0.00003101757,0.001369268,0.05487622],"study_design_scores_gemma":[0.008573528,0.0037255015,0.2618302,0.0016761534,0.000153984,0.0011945965,0.05243501,0.25019476,0.1803067,0.0012404864,0.2358418,0.0028272758],"about_ca_topic_score_codex":0.017036445,"about_ca_topic_score_gemma":0.0018009183,"teacher_disagreement_score":0.5180842,"about_ca_system_score_codex":0.000031647494,"about_ca_system_score_gemma":0.000048031256,"threshold_uncertainty_score":0.99945056},"labels":[],"label_agreement":null},{"id":"W2089143055","doi":"10.1002/2014wr015652","title":"Comparing vertical profiles of natural tracers in the Williston Basin to estimate the onset of deep aquifer activation","year":2014,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Groundwater and Isotope Geochemistry","field":"Earth and Planetary Sciences","cited_by":24,"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","funders":"Natural Sciences and Engineering Research Council of Canada; Mosaic Company","keywords":"Aquifer; Geology; Hydrogeology; Groundwater; Oil shale; Structural basin; Pore water pressure; Geochemistry; Hydrology (agriculture); Geomorphology; Paleontology; Geotechnical engineering","score_opus":0.03345849068724273,"score_gpt":0.3054935327472806,"score_spread":0.27203504206003787,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2089143055","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9961148,0.000029335732,0.000030763505,0.001076866,0.00002137306,0.00022106056,0.000002858116,0.000004768338,0.002498194],"genre_scores_gemma":[0.9997354,9.202573e-7,0.000060648592,0.000044768494,0.000033817683,0.0000048777533,0.00003560815,0.0000025971085,0.00008131758],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99816096,0.0005271174,0.00020278484,0.0001658586,0.0005886914,0.00035455998],"domain_scores_gemma":[0.99927866,0.00035055415,0.000015156104,0.0002516903,0.000058575646,0.0000453722],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021778992,0.000076853416,0.00013775488,0.00009166661,0.00013417468,0.00006682408,0.0005128441,0.0000392114,0.00012978078],"category_scores_gemma":[0.00013587734,0.000033995893,0.000033159056,0.00022439324,0.00024896782,0.000079259524,0.00004467233,0.00030516947,0.000027975637],"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":[0.00037733867,0.0000438408,0.9542242,0.0001238253,0.000013009051,0.000002949392,0.0182773,0.0038352169,0.014747388,0.000017411214,0.00018463332,0.008152865],"study_design_scores_gemma":[0.00018556291,0.0001171549,0.84853846,0.000040911287,0.000003088577,0.000005529861,0.0011097345,0.022657065,0.124189,0.00018790737,0.0028959853,0.00006958777],"about_ca_topic_score_codex":0.00352949,"about_ca_topic_score_gemma":0.0011383465,"teacher_disagreement_score":0.10944161,"about_ca_system_score_codex":0.000006915417,"about_ca_system_score_gemma":0.000008862547,"threshold_uncertainty_score":0.5335557},"labels":[],"label_agreement":null},{"id":"W2096463122","doi":"10.1029/2002wr001386","title":"Geomorphic controls on hyporheic exchange flow in mountain streams","year":2003,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Soil and Water Nutrient Dynamics","field":"Environmental Science","cited_by":430,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Sinuosity; STREAMS; Hydrology (agriculture); Hyporheic zone; Riffle; Residence time (fluid dynamics); Channel (broadcasting); Stream bed; MODFLOW; Geology; Flow (mathematics); Environmental science; Groundwater; Groundwater flow; Geomorphology; Sediment; Aquifer; Geometry; Geotechnical engineering; Mathematics","score_opus":0.03256466938664295,"score_gpt":0.2784514971163992,"score_spread":0.24588682772975626,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2096463122","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97415507,0.000054880482,0.000007404739,0.00046035994,0.00005306826,0.00042560365,0.000009919583,0.00003207156,0.024801647],"genre_scores_gemma":[0.99455833,0.000040048173,0.00005795578,0.0001422177,0.000043721408,0.00011052506,0.000021724372,0.000030329895,0.0049951705],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9964567,0.0006200773,0.00024778547,0.00053398655,0.0010380131,0.0011034772],"domain_scores_gemma":[0.99918157,0.00012606304,0.000020249212,0.0004628607,0.00001542977,0.00019381315],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0019487321,0.00018691077,0.00020419627,0.00023307622,0.00020948447,0.00010798132,0.00043929313,0.000122274,0.0013293407],"category_scores_gemma":[0.000076908145,0.0001261555,0.00005367387,0.00041404253,0.00033939417,0.000118494296,0.00024571948,0.000517992,0.0030339155],"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":[0.00031640576,0.0005407684,0.96842796,0.00003494419,0.000016852353,0.00031722305,0.0065047317,0.0057973843,0.0024337722,0.00011588502,0.0017137702,0.013780333],"study_design_scores_gemma":[0.0067248526,0.0014749506,0.066004284,0.00014226107,0.000010607004,0.000049383092,0.0013744467,0.029980082,0.020370856,0.03312147,0.839597,0.0011498411],"about_ca_topic_score_codex":0.0015606605,"about_ca_topic_score_gemma":0.00036276845,"teacher_disagreement_score":0.9024236,"about_ca_system_score_codex":0.00034489593,"about_ca_system_score_gemma":0.00000540916,"threshold_uncertainty_score":0.9995836},"labels":[],"label_agreement":null},{"id":"W2098165207","doi":"10.1002/2013wr014605","title":"Controls on sediment production from an unpaved resource road in a Pacific maritime watershed","year":2014,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Soil erosion and sediment transport","field":"Agricultural and Biological Sciences","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Ministry of Forests; University of British Columbia; Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs; Simon Fraser University","keywords":"Sediment; Environmental science; Forest road; Hydrology (agriculture); Watershed; Precipitation; Surface runoff; Logging; Sediment control; Intensity (physics); Road surface; Traffic intensity; Truck; Geology; Geography; Ecology; Forestry; Geomorphology; Geotechnical engineering; Meteorology; Engineering","score_opus":0.04181585820680938,"score_gpt":0.27522377667841397,"score_spread":0.23340791847160458,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2098165207","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98798907,0.000019399793,3.5465936e-7,0.007939205,0.00006879791,0.00051912427,0.000014043399,0.00009333218,0.0033566705],"genre_scores_gemma":[0.99574184,0.000008100887,0.000009448798,0.0002935952,0.0005057463,0.00008965758,0.00045129954,0.000003970693,0.0028963648],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.9961087,0.0010267412,0.00033223332,0.00075850514,0.0009972545,0.00077656173],"domain_scores_gemma":[0.9992808,0.00015630947,0.000027550564,0.00021974779,0.00007726982,0.00023829387],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022286114,0.0001956011,0.00026304164,0.00009298433,0.00031601725,0.00018097034,0.00044514696,0.0001572821,0.00083440804],"category_scores_gemma":[0.000048871356,0.000068007124,0.000073593124,0.00030091315,0.00014996305,0.00012214117,0.000074841875,0.00045918196,0.00034439392],"study_design_candidate":"bench_or_experimental","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":[0.0014739953,0.00070240366,0.035949707,0.000009806328,0.00001835055,0.000023352579,0.004695843,0.00007842023,0.900416,0.000029301526,0.0012294338,0.05537337],"study_design_scores_gemma":[0.0012846467,0.001732026,0.37107456,0.00010012331,0.000007496915,0.000002096948,0.0025909536,0.0009844566,0.11651201,0.00064138917,0.5046444,0.00042585307],"about_ca_topic_score_codex":0.0027423336,"about_ca_topic_score_gemma":0.0011690728,"teacher_disagreement_score":0.783904,"about_ca_system_score_codex":0.0000668825,"about_ca_system_score_gemma":0.0000029261269,"threshold_uncertainty_score":0.91361827},"labels":[],"label_agreement":null},{"id":"W2099316915","doi":"10.1029/2006wr005139","title":"Lake abundance, potential water storage, and habitat distribution in the Mackenzie River Delta, western Canadian Arctic","year":2007,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":143,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Simon Fraser University; Alberta Environment and Protected Areas","funders":"Natural Sciences and Engineering Research Council of Canada; Simon Fraser University; Aurora Research Institute","keywords":"Delta; River delta; Hydrology (agriculture); Floodplain; Environmental science; Wetland; Arctic; Flooding (psychology); Oceanography; Geology; Geography; Ecology","score_opus":0.04065615061023913,"score_gpt":0.28113392310642354,"score_spread":0.2404777724961844,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2099316915","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99497527,0.00026428705,0.0000061005194,0.0021028493,0.00009246438,0.00026166797,0.0015983204,0.0000082922825,0.0006907676],"genre_scores_gemma":[0.99227697,0.00006848088,0.0000034606412,0.00030061766,0.00022646201,0.0000029522232,0.006649676,0.000005763462,0.00046564845],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.997508,0.0002677064,0.00019104335,0.0002970455,0.0005675918,0.001168618],"domain_scores_gemma":[0.9993013,0.000116454095,0.000011329176,0.00022227794,0.00008158925,0.000267027],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0025591385,0.00013063924,0.00012371573,0.0002505118,0.0005310004,0.00031621422,0.00035200175,0.00009918785,0.0023347987],"category_scores_gemma":[0.000017358398,0.000067174944,0.000032930915,0.00019658163,0.00037492107,0.00017565498,0.00004560069,0.00044301472,0.00051313825],"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":[0.00010655993,0.0000131197685,0.9822927,0.000037325928,0.0000066267266,0.00050558284,0.013542191,0.00006147686,0.00013518569,0.0000017515058,0.0008302316,0.0024672619],"study_design_scores_gemma":[0.00023319907,0.000079031845,0.7895032,0.000018202676,0.0000036469476,0.00005564741,0.0008280875,0.00026522705,0.00017019775,0.00015970097,0.20856898,0.000114876515],"about_ca_topic_score_codex":0.54111654,"about_ca_topic_score_gemma":0.99009377,"teacher_disagreement_score":0.4489772,"about_ca_system_score_codex":0.00002833189,"about_ca_system_score_gemma":0.000017075,"threshold_uncertainty_score":0.9985772},"labels":[],"label_agreement":null},{"id":"W2100486445","doi":"10.1002/2015wr017124","title":"Simulating riparian disturbance: Reach scale impacts on aquatic habitat in gravel bed streams","year":2015,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Sediment Transport Processes","field":"Environmental Science","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Riparian zone; STREAMS; Habitat; Environmental science; Disturbance (geology); Riparian buffer; Stream bed; Hydrology (agriculture); Channel (broadcasting); Ecology; Range (aeronautics); Stream restoration; Geology; Geomorphology; Computer science","score_opus":0.04975999346892251,"score_gpt":0.31811809366064875,"score_spread":0.26835810019172623,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2100486445","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9830185,0.00005549927,0.000008699823,0.00085483,0.000033489116,0.0003049804,0.0000030169651,0.00003483262,0.015686117],"genre_scores_gemma":[0.99852544,0.0000038470844,0.00007201901,0.0000967218,0.00005008312,0.000036837653,0.000027208165,0.000021885206,0.001165973],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99690914,0.0003319708,0.00029236148,0.0005004732,0.0010420223,0.0009240188],"domain_scores_gemma":[0.9991346,0.0001552711,0.000027551143,0.0003494548,0.000015300939,0.0003178085],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002152233,0.00017158805,0.00021339391,0.00012498721,0.00022479038,0.00006857814,0.00045207984,0.00013411215,0.00034518522],"category_scores_gemma":[0.00013758246,0.000116198855,0.000037093574,0.00040915213,0.00046161856,0.00019604179,0.0001692301,0.0005851478,0.0011722149],"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":[0.00032375852,0.0002908269,0.9616325,0.000026285397,0.000009200468,0.00008658285,0.02077866,0.009751169,0.0042809364,0.0000049423334,0.0004240797,0.002391096],"study_design_scores_gemma":[0.00997345,0.00410625,0.74599457,0.0005371966,0.000041893527,0.000025783234,0.006175647,0.057232685,0.104620874,0.016568795,0.05286414,0.0018587472],"about_ca_topic_score_codex":0.002835611,"about_ca_topic_score_gemma":0.0036669094,"teacher_disagreement_score":0.21563792,"about_ca_system_score_codex":0.00023678828,"about_ca_system_score_gemma":0.000015385396,"threshold_uncertainty_score":0.9996055},"labels":[],"label_agreement":null},{"id":"W2103211740","doi":"10.1029/2011wr011034","title":"The cost of noncooperation in international river basins","year":2011,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Water resources management and optimization","field":"Engineering","cited_by":53,"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":"New Partnership for Africa's Development; Grains Research and Development Corporation","keywords":"Hydropower; Riparian zone; Water resources; Drainage basin; Business; Water resource management; Valuation (finance); Natural resource economics; Environmental resource management; Environmental planning; Environmental economics; Environmental science; Economics; Geography; Engineering; Finance","score_opus":0.05713844550588855,"score_gpt":0.2756507059089111,"score_spread":0.21851226040302257,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2103211740","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91967565,0.00006555651,0.0006574808,0.00012937431,0.00014501227,0.00034827986,0.000003564708,0.000048576167,0.07892648],"genre_scores_gemma":[0.9976115,0.000121895864,0.0001876693,0.000005294716,0.000055184926,0.00003907936,0.000015217876,0.000017509343,0.0019466508],"study_design_codex":"qualitative","study_design_gemma":"not_applicable","domain_scores_codex":[0.9989639,0.00008892077,0.00020206613,0.000110051325,0.00035345316,0.0002815891],"domain_scores_gemma":[0.99965817,0.000032119162,0.000010302707,0.00018060913,0.000088823464,0.000029956089],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007084562,0.00006934246,0.00006937713,0.00026642362,0.000089111476,0.00006706931,0.0003892862,0.00004059147,0.00017204473],"category_scores_gemma":[0.00001801826,0.00004230044,0.0000230849,0.0001965471,0.00013446242,0.00013403702,0.00013233884,0.0001740603,0.0000844979],"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":[0.0010516355,0.00053098093,0.12329599,0.0003533836,0.00045046842,0.00011255726,0.36226296,0.35058767,0.020815032,0.0028961238,0.008965238,0.12867796],"study_design_scores_gemma":[0.0010670167,0.00010535605,0.03767873,0.00007123892,0.0000066261587,0.0000020557318,0.0015381224,0.25865173,0.06515867,0.0005868921,0.6348647,0.0002688996],"about_ca_topic_score_codex":0.0001532981,"about_ca_topic_score_gemma":0.00021994983,"teacher_disagreement_score":0.62589943,"about_ca_system_score_codex":0.000053776286,"about_ca_system_score_gemma":0.0000021815426,"threshold_uncertainty_score":0.18837692},"labels":[],"label_agreement":null},{"id":"W2103356839","doi":"10.1002/2014wr016816","title":"Control of coupling mass balance error in a process‐based numerical model of surface‐subsurface flow interaction","year":2015,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Flood Risk Assessment and Management","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"Advanced Research Projects Agency; Ministero dell’Istruzione, dell’Università e della Ricerca","keywords":"Discretization; Coupling (piping); Interpolation (computer graphics); Subsurface flow; Approximation error; Computer simulation; Conservation of mass; Control theory (sociology); Mathematical optimization; Mechanics; Mathematics; Computer science; Simulation; Geology; Engineering; Mathematical analysis; Geotechnical engineering; Physics","score_opus":0.06791531805155868,"score_gpt":0.34980340374745444,"score_spread":0.28188808569589574,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2103356839","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98755646,0.000028079417,0.010027019,0.00037771408,0.000025382922,0.00043287218,0.000005769898,0.000014695505,0.001531995],"genre_scores_gemma":[0.99673474,0.000004193896,0.0027608213,0.000014072435,0.000008102049,0.00002829368,0.0000056953913,0.0000152479315,0.00042884157],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9977248,0.00013752036,0.00031999234,0.00030215687,0.001084798,0.0004307729],"domain_scores_gemma":[0.9994554,0.00006232634,0.00006460377,0.00025192343,0.00005951477,0.0001062575],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017221437,0.00011183316,0.00023398153,0.00010467311,0.00003875411,0.000021165642,0.0003615254,0.00005555826,0.00015729359],"category_scores_gemma":[0.00004291106,0.00008133975,0.000039320363,0.0003156718,0.00018484649,0.00018041297,0.00015544008,0.00025871868,0.000061402585],"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":[0.00034071135,0.00015683376,0.06294319,0.000052076342,0.000008092709,0.0000032992175,0.0018245467,0.88948774,0.044937976,0.0000020516536,0.00013225693,0.00011123023],"study_design_scores_gemma":[0.0010820997,0.00014618055,0.0006739605,0.000039208313,0.0000047599415,1.4810713e-7,0.00061974616,0.96170557,0.034965083,0.00019209452,0.0004808645,0.0000903004],"about_ca_topic_score_codex":0.001081784,"about_ca_topic_score_gemma":0.00006302855,"teacher_disagreement_score":0.07221782,"about_ca_system_score_codex":0.00017196323,"about_ca_system_score_gemma":0.000019752104,"threshold_uncertainty_score":0.33169386},"labels":[],"label_agreement":null},{"id":"W2103720057","doi":"10.1029/2011wr010678","title":"Tidal influence on seawater intrusion in unconfined coastal aquifers","year":2011,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Groundwater and Isotope Geochemistry","field":"Earth and Planetary Sciences","cited_by":219,"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":"Australian Research Council; Hohai University; Science Foundation Ireland","keywords":"Intertidal zone; Aquifer; Geology; Saltwater intrusion; Submarine groundwater discharge; Seawater; Plume; Groundwater; Groundwater recharge; Oceanography; Hydrology (agriculture); Geotechnical engineering","score_opus":0.050032292969370465,"score_gpt":0.2624795054601381,"score_spread":0.21244721249076765,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2103720057","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94487965,0.000016091408,8.288616e-7,0.00013520858,0.00005613829,0.00018331326,0.000012883292,0.00003097179,0.054684903],"genre_scores_gemma":[0.9966892,0.000007610998,0.000043977485,0.00009933071,0.00006670232,0.0000054424554,0.00007980253,0.0000068054337,0.0030011542],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99746835,0.00024893123,0.00024517617,0.0004314391,0.000699385,0.0009067141],"domain_scores_gemma":[0.999313,0.00006249786,0.000016229758,0.00033127854,0.00007585351,0.00020115783],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0010507847,0.00016380817,0.00016430854,0.00028877103,0.00019761885,0.00012432918,0.00052481616,0.00011559745,0.006477935],"category_scores_gemma":[0.00003499275,0.00010100265,0.00004122677,0.0002504646,0.00028041116,0.00018687084,0.00010846049,0.00055527315,0.002344435],"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":[0.0008126374,0.000072001014,0.9678932,0.000050549406,0.000011454741,0.00026005387,0.014207633,0.00028133744,0.009462463,0.000007801609,0.00023857484,0.0067023225],"study_design_scores_gemma":[0.0009163727,0.0007066434,0.8008682,0.0000876387,0.0000029398316,0.000027254888,0.0015681201,0.0006627367,0.1668619,0.0013483261,0.026551962,0.0003978785],"about_ca_topic_score_codex":0.020886809,"about_ca_topic_score_gemma":0.004813108,"teacher_disagreement_score":0.16702494,"about_ca_system_score_codex":0.000010730184,"about_ca_system_score_gemma":0.000021250455,"threshold_uncertainty_score":0.99843234},"labels":[],"label_agreement":null},{"id":"W2104082993","doi":"10.1002/2013wr014898","title":"Continuous streamflow prediction in ungauged basins: The effects of equifinality and parameter set selection on uncertainty in regionalization approaches","year":2014,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":184,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Equifinality; Selection (genetic algorithm); Bootstrapping (finance); Streamflow; Set (abstract data type); Similarity (geometry); Interpretability; Regression; Mathematics; Linear regression; Computer science; Statistics; Econometrics; Data mining; Geography; Artificial intelligence; Drainage basin; Cartography","score_opus":0.044257364692114685,"score_gpt":0.27408162116661217,"score_spread":0.22982425647449747,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2104082993","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9971298,0.000014719798,0.000054150227,0.0007875537,0.000017567649,0.0004535911,0.0000013673853,0.000009789196,0.0015314708],"genre_scores_gemma":[0.9993717,0.00002130054,0.000012009144,0.000051538373,0.000015658492,0.000087449065,0.000010696386,0.0000054997718,0.0004241461],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9977521,0.0011708495,0.00016788367,0.00028637683,0.00033168998,0.0002911126],"domain_scores_gemma":[0.99939764,0.000399034,0.000026899756,0.00014525231,0.0000081074695,0.000023049062],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023108304,0.000085566746,0.00012980906,0.00012637366,0.00015337228,0.000020307905,0.00012632497,0.000067312554,0.00002466779],"category_scores_gemma":[0.00021501767,0.000049455306,0.000016714306,0.000241749,0.00045129666,0.00007315198,0.00018664257,0.00023099032,0.000013597133],"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":[0.00038678807,0.0001713207,0.9633535,0.00013222623,0.000021963,0.0000031093998,0.010558307,0.018544104,0.001852023,0.00017417125,0.00046273,0.0043397304],"study_design_scores_gemma":[0.0013528523,0.0009676554,0.9149318,0.00011269365,0.000012719251,0.000001963286,0.00061082974,0.058788206,0.0075356644,0.0075253583,0.0080105355,0.00014972572],"about_ca_topic_score_codex":0.0013438052,"about_ca_topic_score_gemma":0.0012626856,"teacher_disagreement_score":0.04842173,"about_ca_system_score_codex":0.00008150165,"about_ca_system_score_gemma":0.0000013185334,"threshold_uncertainty_score":0.20314406},"labels":[],"label_agreement":null},{"id":"W2104211168","doi":"10.1029/2006wr004946","title":"Conceptual analysis of zero‐valent iron fracture reactive barriers for remediating a trichloroethylene plume in a chalk aquifer","year":2007,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Environmental remediation with nanomaterials","field":"Engineering","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":"University of Waterloo","funders":"","keywords":"Aquifer; Permeable reactive barrier; Zerovalent iron; Environmental remediation; Plume; Groundwater; Microscale chemistry; Reactive material; Trichloroethylene; Fracture (geology); Porous medium; Groundwater pollution; Environmental science; Groundwater remediation; Soil science; Geology; Geotechnical engineering; Materials science; Porosity; Environmental chemistry; Adsorption; Chemistry; Contamination; Composite material; Thermodynamics","score_opus":0.026526289673176846,"score_gpt":0.3022222528647997,"score_spread":0.2756959631916229,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2104211168","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9976881,0.00023535965,0.00070937024,0.00006928205,0.00007278033,0.0006803198,0.000049743452,0.00004809272,0.00044695492],"genre_scores_gemma":[0.9990716,0.000050397477,0.0002990044,0.000024769242,0.000114854694,0.00011399798,0.000094260184,0.000052152467,0.00017895672],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9971396,0.00016312236,0.0006488422,0.00034743137,0.000878677,0.00082238234],"domain_scores_gemma":[0.9987172,0.00060823193,0.00006891142,0.00032050294,0.00007089614,0.00021425766],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0031725732,0.00019453208,0.0004709801,0.0012913293,0.000077095916,0.00003010066,0.00028704706,0.00021179477,0.00019857757],"category_scores_gemma":[0.0003868281,0.00015680795,0.00013096504,0.0007941643,0.00022387876,0.00013406426,0.00009980039,0.0003235842,0.000019206826],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005600207,0.000067271154,0.032113746,0.0001552334,0.0004743792,0.000023811084,0.05464347,0.03327629,0.87758255,0.000013298369,0.00018508697,0.00090483704],"study_design_scores_gemma":[0.0013315167,0.00017970557,0.028710384,0.000041693922,0.00009827687,7.211331e-7,0.0046596364,0.0043540043,0.9492196,0.00004091435,0.0110937115,0.0002698375],"about_ca_topic_score_codex":0.00012249529,"about_ca_topic_score_gemma":0.000097738135,"teacher_disagreement_score":0.07163704,"about_ca_system_score_codex":0.00042855245,"about_ca_system_score_gemma":0.000011706868,"threshold_uncertainty_score":0.63944423},"labels":[],"label_agreement":null},{"id":"W2104587668","doi":"10.1029/2006wr004957","title":"Wavelet‐based multifractal analysis of field scale variability in soil water retention","year":2007,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Soil and Unsaturated Flow","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Pedotransfer function; Soil science; Multifractal system; Water retention curve; Scaling; Soil water; Environmental science; Loam; Water retention; Water content; Bulk density; Field capacity; Soil horizon; Hydraulic conductivity; Mathematics; Geology; Geotechnical engineering; Fractal","score_opus":0.025420838011621694,"score_gpt":0.2862989937670154,"score_spread":0.2608781557553937,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2104587668","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99533474,0.00001687526,0.00069615745,0.00012307572,0.000058356323,0.00013462585,0.0000058154014,0.000063675136,0.0035666565],"genre_scores_gemma":[0.99944377,0.0000046471555,0.00016499413,0.000012016305,0.00004798097,0.000011655123,0.00006742124,0.000018666591,0.00022883888],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99789476,0.00021937171,0.00039492993,0.0002674774,0.00053081725,0.0006926277],"domain_scores_gemma":[0.99906576,0.00030527904,0.000010362713,0.00038482386,0.00013850904,0.000095241696],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0040925476,0.00012320407,0.0002641047,0.0010701859,0.0000619506,0.000040112547,0.0002267062,0.00020714209,0.00037777674],"category_scores_gemma":[0.000080684316,0.00007947093,0.00013510723,0.00090235367,0.000082838145,0.00008415662,0.00007029219,0.0005460985,0.00003860264],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00071142305,0.0003302292,0.08329453,0.00040075937,0.0005255345,0.00009198736,0.013256629,0.035587415,0.7902676,0.0000043523373,0.00020396947,0.075325586],"study_design_scores_gemma":[0.0003324756,0.000043925113,0.02361197,0.00001994595,0.000033381686,4.237957e-7,0.00015612338,0.2538098,0.72042906,0.0000491173,0.0013900474,0.0001237279],"about_ca_topic_score_codex":0.0009675788,"about_ca_topic_score_gemma":0.0008707247,"teacher_disagreement_score":0.2182224,"about_ca_system_score_codex":0.00009312059,"about_ca_system_score_gemma":0.000004769363,"threshold_uncertainty_score":0.41363904},"labels":[],"label_agreement":null},{"id":"W2104885288","doi":"10.1029/2000wr900034","title":"Restricted interval guelph permeameter: Theory and application","year":2000,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Groundwater flow and contamination studies","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"American Water (Canada)","funders":"","keywords":"Permeameter; Hydraulic conductivity; Geotechnical engineering; Borehole; Geology; Richards equation; Capillary pressure; Saturation (graph theory); Soil science; Mathematics; Soil water; Water content; Porous medium; Porosity","score_opus":0.021057469268037327,"score_gpt":0.2871924126982652,"score_spread":0.26613494343022787,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2104885288","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9850395,0.0000660376,0.00040576558,0.00047368178,0.000010010907,0.00022169905,0.0000020489827,0.000040910818,0.013740387],"genre_scores_gemma":[0.9478321,0.000042558047,0.00004681437,0.00007920621,0.000037882903,0.00008986361,0.0000076886,0.000011410541,0.05185246],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.998158,0.00044508584,0.00015249143,0.0003524223,0.0004962248,0.0003958261],"domain_scores_gemma":[0.99952656,0.00010363136,0.000010030705,0.00025407702,0.000018970386,0.000086732485],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0010708701,0.00009692601,0.000102194455,0.000077765944,0.0003873963,0.00011170938,0.0002588686,0.000049071758,0.0034003346],"category_scores_gemma":[0.000022545724,0.00006342789,0.000026363763,0.00018954415,0.000495804,0.00014121908,0.0003405973,0.00019210306,0.0022813296],"study_design_candidate":"design_other","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":[0.0002611628,0.000093376584,0.024662187,0.000015417698,0.00002535823,0.000011675292,0.020645723,0.000031778312,0.060387306,0.00011064523,0.0015575585,0.8921978],"study_design_scores_gemma":[0.00035160192,0.0001469183,0.15414256,0.000008826376,0.000006321825,0.000012023474,0.000970276,0.00049694977,0.006186475,0.0014881179,0.8360231,0.00016681758],"about_ca_topic_score_codex":0.00045012718,"about_ca_topic_score_gemma":0.000053153286,"teacher_disagreement_score":0.892031,"about_ca_system_score_codex":0.00006604812,"about_ca_system_score_gemma":0.0000012515167,"threshold_uncertainty_score":0.9984955},"labels":[],"label_agreement":null},{"id":"W2105628787","doi":"10.1029/2005wr003994","title":"Automated grain size measurements from airborne remote sensing for long profile measurements of fluvial grain sizes","year":2005,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Sediment Transport Processes","field":"Environmental Science","cited_by":126,"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":"Grain size; Channel (broadcasting); Fluvial; Remote sensing; Geology; Soil science; Environmental science; Geomorphology; Computer science","score_opus":0.06614422927354663,"score_gpt":0.3160719671530205,"score_spread":0.24992773787947387,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2105628787","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99425775,0.000099945326,0.0004414918,0.0010198915,0.00007696964,0.0009286364,0.000031589523,0.0001728262,0.002970921],"genre_scores_gemma":[0.9906231,0.0000053030503,0.0075713973,0.00011565915,0.00013477655,0.000015099225,0.00007431933,0.000042633463,0.0014176986],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99562395,0.00047447966,0.0005329525,0.0006728194,0.0016900116,0.001005782],"domain_scores_gemma":[0.99899423,0.0002023538,0.00008137814,0.00041097213,0.00011738998,0.0001936572],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0034111913,0.0002490127,0.00034556602,0.00011913478,0.00046894,0.000051855313,0.0005568473,0.00019570802,0.0020929603],"category_scores_gemma":[0.0002946109,0.00018957866,0.000111870526,0.00030470447,0.00056165963,0.00024001191,0.00019586865,0.0003181246,0.0003531163],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001653418,0.00040882468,0.05902937,0.00017770458,0.00029319976,0.000027285962,0.012418886,0.0023092963,0.8613866,6.0743866e-7,0.004857997,0.057436828],"study_design_scores_gemma":[0.002558807,0.0003427909,0.025165182,0.00012375221,0.00005259274,0.0000034606094,0.00011122186,0.018834796,0.9329158,0.0005662672,0.018924782,0.00040056065],"about_ca_topic_score_codex":0.0015670393,"about_ca_topic_score_gemma":0.0011719229,"teacher_disagreement_score":0.07152921,"about_ca_system_score_codex":0.00018346003,"about_ca_system_score_gemma":0.000022003993,"threshold_uncertainty_score":0.9988193},"labels":[],"label_agreement":null},{"id":"W2107420972","doi":"10.1002/2013wr014943","title":"Numerical assessment of potential impacts of hydraulically fractured <scp>B</scp>owland <scp>S</scp>hale on overlying aquifers","year":2014,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydraulic Fracturing and Reservoir Analysis","field":"Engineering","cited_by":37,"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":"University of Waterloo","keywords":"Oil shale; Geology; Aquifer; Hydraulic fracturing; Fracture (geology); Hydraulic conductivity; Groundwater; Bedrock; Rock mass classification; Geotechnical engineering; Petrology; Geomorphology; Soil science","score_opus":0.015544395852333005,"score_gpt":0.29105645133207275,"score_spread":0.2755120554797397,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2107420972","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9713962,0.00022289508,0.0037907488,0.000121935744,0.00010842694,0.00026308373,0.0000143991065,0.00012617462,0.02395612],"genre_scores_gemma":[0.9981284,0.00008324886,0.00030683225,0.000035842146,0.00030787798,0.000026061947,0.000044186247,0.00009566235,0.00097186177],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9947567,0.00058814534,0.00071778666,0.0005334543,0.0021036474,0.0013002468],"domain_scores_gemma":[0.9970118,0.0013004615,0.00010654799,0.0008687791,0.00023205922,0.00048038358],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0019191157,0.0003792302,0.00078032236,0.000810497,0.00022198529,0.00015500208,0.0008243488,0.0003436272,0.0000770878],"category_scores_gemma":[0.0008406345,0.000264231,0.0003583097,0.00056688255,0.0002500887,0.00013953731,0.00023692261,0.001242039,0.000075869575],"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":[0.00003197031,0.00035243528,0.007189517,0.0008328376,0.00072104216,0.0000670337,0.0074521466,0.8807422,0.09514196,0.00000914953,0.0058843177,0.0015754257],"study_design_scores_gemma":[0.0020422381,0.001157136,0.052046966,0.0004191832,0.0001274383,0.000019947756,0.0011233498,0.42542553,0.35702896,0.00022857384,0.16014135,0.00023932103],"about_ca_topic_score_codex":0.0005485119,"about_ca_topic_score_gemma":0.00001775153,"teacher_disagreement_score":0.45531663,"about_ca_system_score_codex":0.00013331666,"about_ca_system_score_gemma":0.000036161156,"threshold_uncertainty_score":0.999981},"labels":[],"label_agreement":null},{"id":"W2107425572","doi":"10.1029/2002wr001803","title":"Sediment pulses in mountain rivers: 1. Experiments","year":2003,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Landslides and related hazards","field":"Environmental Science","cited_by":152,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Stillwater (Canada)","funders":"U.S. Environmental Protection Agency; National Science Foundation","keywords":"Sediment; STREAMS; Geology; Debris; Landslide; Hydrology (agriculture); Pulse (music); Grain size; Sediment transport; Stream bed; Dispersion (optics); Geomorphology; Environmental science; Geotechnical engineering","score_opus":0.034255103705698044,"score_gpt":0.3120145640174227,"score_spread":0.27775946031172466,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2107425572","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91754675,0.00011301451,0.0000029735731,0.00021055434,0.00004172262,0.00022252084,0.0000010261165,0.000016672544,0.081844755],"genre_scores_gemma":[0.99001133,0.00004236233,0.00013824119,0.000053469146,0.00001956378,0.000039552324,0.0000035696091,0.00001602846,0.0096759],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99753124,0.00035583746,0.00017748812,0.00035537238,0.0008249938,0.0007550849],"domain_scores_gemma":[0.9995386,0.000031924865,0.000011777106,0.00026761772,0.000008872901,0.0001411784],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0012222338,0.000112310234,0.00011551102,0.00012438929,0.00019747908,0.00007872499,0.0002959436,0.00009704675,0.008214314],"category_scores_gemma":[0.000024914449,0.00006808883,0.00003622402,0.00027992297,0.0002378652,0.00012167509,0.00030783442,0.00034158464,0.0024973752],"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":[0.00043828032,0.0012859118,0.690918,0.000046550915,0.00009068054,0.0008105803,0.06945009,0.006272195,0.20521791,0.0003664716,0.014702958,0.010400343],"study_design_scores_gemma":[0.0011154821,0.00018940553,0.0081549985,0.000030478292,0.000002816848,0.000012637006,0.0018750561,0.00027644815,0.18082812,0.0014849001,0.8057758,0.0002538499],"about_ca_topic_score_codex":0.0012464366,"about_ca_topic_score_gemma":0.00006564462,"teacher_disagreement_score":0.79107285,"about_ca_system_score_codex":0.0003317856,"about_ca_system_score_gemma":0.0000052070573,"threshold_uncertainty_score":0.9982793},"labels":[],"label_agreement":null},{"id":"W2108719872","doi":"10.1029/2005wr004545","title":"Generalized maximum likelihood estimators for the nonstationary generalized extreme value model","year":2007,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Drought Analysis","field":"Environmental Science","cited_by":427,"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; Environment and Climate Change Canada; Institut National de la Recherche Scientifique","funders":"","keywords":"Covariate; Quantile; Estimator; Generalized extreme value distribution; Statistics; Generalized linear model; Estimation theory; Mathematics; Maximum likelihood; Scale parameter; Restricted maximum likelihood; Extreme value theory; Econometrics; Applied mathematics","score_opus":0.0587021527822258,"score_gpt":0.32903947909776327,"score_spread":0.2703373263155375,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2108719872","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9198173,0.00019441261,0.07080815,0.0028040628,0.00004831281,0.00057469285,0.000011044619,0.00004967955,0.005692294],"genre_scores_gemma":[0.9713074,0.000042851894,0.021166284,0.0006306174,0.00016161118,0.0001845888,0.000045670266,0.000042136715,0.006418846],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9969223,0.0002651838,0.00033619706,0.0004896562,0.00088874914,0.001097915],"domain_scores_gemma":[0.9988094,0.00039771304,0.00003724129,0.0005137487,0.000043769254,0.0001981427],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0044106483,0.0001746134,0.00019602884,0.00016112892,0.0010967405,0.00008050297,0.0007166524,0.00014651993,0.0015616568],"category_scores_gemma":[0.00007981022,0.00009921178,0.00016651927,0.00039073077,0.0006383296,0.00014344123,0.0004263417,0.00031629717,0.00064640783],"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":[0.0024507658,0.0005033455,0.045177102,0.00005050812,0.0004951667,0.00012806297,0.022522034,0.7331259,0.12390275,0.0026330913,0.038774323,0.030236937],"study_design_scores_gemma":[0.0010531789,0.00008286084,0.0013616584,0.0000045012034,0.000052073938,0.000010606428,0.0001628444,0.84727556,0.012080232,0.048854068,0.088808835,0.00025359192],"about_ca_topic_score_codex":0.0009740356,"about_ca_topic_score_gemma":0.00036862842,"teacher_disagreement_score":0.11414964,"about_ca_system_score_codex":0.00012718742,"about_ca_system_score_gemma":0.000014207587,"threshold_uncertainty_score":0.999351},"labels":[],"label_agreement":null},{"id":"W2108973620","doi":"10.1002/2015wr017139","title":"Catchment‐scale Richards equation‐based modeling of evapotranspiration via boundary condition switching and root water uptake schemes","year":2015,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Soil and Unsaturated Flow","field":"Engineering","cited_by":42,"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":"Australian Research Council; National Water Commission; National Centre for Groundwater Research and Training","keywords":"Evapotranspiration; Environmental science; Transpiration; Hydrology (agriculture); DNS root zone; Streamflow; Richards equation; Riparian zone; Infiltration (HVAC); Soil science; Soil water; Drainage basin; Geology; Ecology; Meteorology; Geotechnical engineering; Geography","score_opus":0.062273609634958205,"score_gpt":0.299000584913286,"score_spread":0.2367269752783278,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2108973620","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97999686,0.00038010877,0.018206283,0.00019072485,0.000082729704,0.00021470529,0.000007690898,0.00011475208,0.0008061538],"genre_scores_gemma":[0.99922776,0.000007997228,0.00031616268,0.000012170508,0.00011242968,0.000040253526,0.00015846113,0.000035775753,0.000088999834],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99820083,0.000112670285,0.0003093424,0.00022554457,0.0006944406,0.00045715616],"domain_scores_gemma":[0.9993316,0.000025732232,0.000012073998,0.00020863606,0.00027519706,0.00014679499],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010911766,0.00014765972,0.00017452762,0.00032313156,0.00018111915,0.00014421782,0.00014261364,0.00012787082,0.00003951913],"category_scores_gemma":[0.000014520796,0.00010170728,0.000038058137,0.00015415439,0.00006730173,0.00027796996,0.000043679927,0.0003517433,0.000043133827],"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":[0.00014691883,0.00004968985,0.0011287555,0.00030732792,0.000061819905,0.0000069813264,0.01972416,0.57286614,0.40059832,0.000008414,0.00009311651,0.0050083706],"study_design_scores_gemma":[0.0005796652,0.00007055982,0.000069947026,0.000044808643,0.000010110758,0.0000018615469,0.00020380387,0.73264116,0.2626802,0.0005272111,0.003045502,0.00012518457],"about_ca_topic_score_codex":0.00020402523,"about_ca_topic_score_gemma":0.000046656565,"teacher_disagreement_score":0.15977502,"about_ca_system_score_codex":0.00008723651,"about_ca_system_score_gemma":0.000019118383,"threshold_uncertainty_score":0.41475025},"labels":[],"label_agreement":null},{"id":"W2109465218","doi":"10.1002/2014wr015696","title":"Toward understanding nonstationarity in climate and hydrology through tree ring proxy records","year":2015,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Tree-ring climate responses","field":"Earth and Planetary Sciences","cited_by":83,"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 Regina; Global Institute for Water Security; University of Saskatchewan","funders":"","keywords":"Proxy (statistics); Dendrochronology; Tributary; Climatology; Environmental science; Climate change; Structural basin; Autocorrelation; Hydrology (agriculture); Drainage basin; Statistic; Multivariate statistics; Physical geography; Geology; Geography; Statistics; Mathematics; Cartography; Geomorphology","score_opus":0.21027697165632284,"score_gpt":0.3473965672514602,"score_spread":0.13711959559513734,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2109465218","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96918494,0.00036338117,0.000029047225,0.001414205,0.0000740102,0.00025886702,0.000024816003,0.00005119767,0.02859952],"genre_scores_gemma":[0.99895114,0.00017018103,0.00053607486,0.000034939203,0.000063479994,0.000005786068,0.00003661333,0.000008424268,0.00019334343],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99699706,0.00073461933,0.0002651862,0.00043061192,0.0006160591,0.00095648447],"domain_scores_gemma":[0.9990013,0.00051984465,0.000028307204,0.0002017008,0.000053760516,0.00019508663],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029908163,0.0001381961,0.00021035539,0.0003923156,0.00025344844,0.00019548504,0.00027153583,0.00011018163,0.00020809265],"category_scores_gemma":[0.00022018989,0.00009905724,0.000024248096,0.00033600515,0.0003910778,0.0003395116,0.0001377577,0.0004396983,0.00022615958],"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":[0.0006851981,0.000022184,0.97912997,0.00007351213,0.000010680035,0.00016464083,0.015712,0.0006837986,0.00007987014,0.00014638442,0.000068795474,0.0032229607],"study_design_scores_gemma":[0.0035383836,0.0015016181,0.84350204,0.00023174436,0.00001459159,0.0002665605,0.022086412,0.047022447,0.0013864102,0.041944575,0.037709113,0.0007960878],"about_ca_topic_score_codex":0.006501947,"about_ca_topic_score_gemma":0.011911469,"teacher_disagreement_score":0.13562793,"about_ca_system_score_codex":0.00006139523,"about_ca_system_score_gemma":0.000042910004,"threshold_uncertainty_score":0.98290426},"labels":[],"label_agreement":null},{"id":"W2110448863","doi":"10.1002/2015wr016964","title":"Reactive transport modeling of geochemical controls on secondary water quality impacts at a crude oil spill site near Bemidji, MN","year":2015,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Groundwater flow and contamination studies","field":"Environmental Science","cited_by":60,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"Strategic Environmental Research and Development Program; U.S. Geological Survey","keywords":"Sorption; Outgassing; Environmental chemistry; Carbonate; Aquifer; Groundwater; Chemistry; Dissolved organic carbon; Pollution; Environmental science; Total organic carbon; Geochemical modeling; Ferrous; Geology; Adsorption","score_opus":0.06942397866802484,"score_gpt":0.3262254039085233,"score_spread":0.2568014252404984,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2110448863","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98705834,0.000052699063,0.000050310704,0.0007847866,0.000032089785,0.00019416452,0.00005473279,0.00003328574,0.011739606],"genre_scores_gemma":[0.9905233,0.000006393059,0.000046782174,0.00011908065,0.000055443972,0.00005439742,0.000096298645,0.000026138405,0.009072187],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9960333,0.0003927614,0.0004853982,0.00056668726,0.0016025506,0.0009192827],"domain_scores_gemma":[0.9989366,0.0000980319,0.00004327797,0.00045307426,0.0001336864,0.00033530864],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0026200125,0.00023007719,0.0004036925,0.00009654578,0.000321223,0.000062453386,0.0003815155,0.00013879823,0.0006672657],"category_scores_gemma":[0.000060504033,0.00013699659,0.00012780898,0.00012541731,0.00059095287,0.00020450797,0.0005378169,0.0004834009,0.0010029894],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0025619334,0.00033745117,0.040034313,0.000094589974,0.00011882031,0.00008474082,0.09403878,0.002572437,0.85601693,0.000007808564,0.00078756985,0.0033446178],"study_design_scores_gemma":[0.0036319587,0.0006724726,0.011052024,0.00008055283,0.000031828607,0.000017333934,0.0023653845,0.0049858666,0.83439875,0.00036400644,0.14180553,0.0005943096],"about_ca_topic_score_codex":0.0040005934,"about_ca_topic_score_gemma":0.00060255866,"teacher_disagreement_score":0.14101796,"about_ca_system_score_codex":0.00046199388,"about_ca_system_score_gemma":0.000015671587,"threshold_uncertainty_score":0.9997749},"labels":[],"label_agreement":null},{"id":"W2111481100","doi":"10.1002/wrcr.20172","title":"Modeling fine‐scale soil surface structure using geostatistics","year":2013,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Soil Geostatistics and Mapping","field":"Environmental Science","cited_by":30,"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":"","keywords":"Geostatistics; Scale (ratio); Sill; Geology; Variance (accounting); Soil science; Variogram; Maxima; Spatial variability; Geomorphology; Hydrology (agriculture); Geotechnical engineering; Kriging; Petrology; Statistics; Mathematics; Geography; Cartography","score_opus":0.04469890049932393,"score_gpt":0.2991158592443622,"score_spread":0.2544169587450382,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2111481100","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9924125,0.000030641615,0.004486809,0.00021256003,0.000059239297,0.00027977777,0.000032750155,0.000032674907,0.0024530343],"genre_scores_gemma":[0.9874873,0.00000560627,0.010063581,0.00004504053,0.000074139345,0.000007279946,0.000024401274,0.00003371789,0.0022589397],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99733484,0.00016923592,0.00024229268,0.00042319013,0.00090646883,0.00092396216],"domain_scores_gemma":[0.9992475,0.00007992998,0.00001976919,0.0003665895,0.00007060686,0.00021562201],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00050171337,0.00015819602,0.0001555457,0.00006567532,0.0005116482,0.00027813233,0.00040074266,0.00009246574,0.0053650783],"category_scores_gemma":[0.00006293847,0.00011487127,0.000031171163,0.00022865356,0.00026563165,0.00016299779,0.0007497677,0.0004190692,0.0012765754],"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":[0.000014736546,0.00003493328,0.012469855,0.00003913218,0.000014558903,0.000020843625,0.006816339,0.7839815,0.18904673,0.000021554557,0.0026697584,0.004870093],"study_design_scores_gemma":[0.00017815283,0.000035987032,0.0011745183,0.000017945598,0.0000049125174,0.000009171249,0.0005145924,0.9810437,0.0065958365,0.004727602,0.0054822587,0.00021534167],"about_ca_topic_score_codex":0.019055886,"about_ca_topic_score_gemma":0.0008565705,"teacher_disagreement_score":0.19706221,"about_ca_system_score_codex":0.00013897958,"about_ca_system_score_gemma":0.00000864837,"threshold_uncertainty_score":0.99950105},"labels":[],"label_agreement":null},{"id":"W2111639127","doi":"10.1029/2002wr001943","title":"Geochemical and transport properties of dissolved organic carbon in a clay‐rich aquitard","year":2003,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Groundwater flow and contamination studies","field":"Environmental Science","cited_by":46,"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":"","keywords":"Dissolved organic carbon; Diffusion; Sorption; Aquifer; Porosity; Total organic carbon; Geology; Effective porosity; Matrix (chemical analysis); Pore water pressure; Mineralogy; Groundwater; Analytical Chemistry (journal); Soil science; Chemistry; Environmental chemistry; Geotechnical engineering; Chromatography; Adsorption; Thermodynamics","score_opus":0.03137185540757906,"score_gpt":0.25402414551900815,"score_spread":0.2226522901114291,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2111639127","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9961794,0.00019505598,0.000004972828,0.00017798512,0.000009336142,0.00018901215,6.6707906e-7,0.000008943224,0.0032345965],"genre_scores_gemma":[0.99672234,0.000023541765,0.00001823739,0.0000096310905,0.000006698697,0.000036399448,0.0000013585226,0.000009984236,0.0031717822],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99845535,0.00016437269,0.00020236896,0.00026752468,0.00050716347,0.00040321532],"domain_scores_gemma":[0.99973506,0.00002067926,0.000011993552,0.00015424636,0.000018344279,0.00005970164],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007590752,0.0000930721,0.00016097342,0.00008531404,0.0000818972,0.000016483873,0.00015012547,0.000054271797,0.00023432],"category_scores_gemma":[0.000029136581,0.000058929596,0.000019169107,0.00021980853,0.00041959464,0.00006233392,0.0001426942,0.00018157091,0.00002195166],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003753949,0.000060690418,0.32136106,0.000029944327,0.000007721907,0.0000086040955,0.016364068,0.0000038540297,0.6616672,0.0000041280723,0.000011303559,0.00044384674],"study_design_scores_gemma":[0.00054153864,0.0001048408,0.08175696,0.000035256435,0.0000059056215,0.000005967561,0.0022919727,0.000086186796,0.9043945,0.00010555813,0.010516674,0.00015460636],"about_ca_topic_score_codex":0.0008773617,"about_ca_topic_score_gemma":0.00051602995,"teacher_disagreement_score":0.2427273,"about_ca_system_score_codex":0.000067251334,"about_ca_system_score_gemma":0.000004364995,"threshold_uncertainty_score":0.25656396},"labels":[],"label_agreement":null},{"id":"W2112315449","doi":"10.1029/2006wr005469","title":"Winter nitrification contributes to excess NO<sub>3</sub><sup>−</sup> in groundwater of an agricultural region: A dual‐isotope study","year":2007,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Groundwater and Isotope Geochemistry","field":"Earth and Planetary Sciences","cited_by":51,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Agriculture and Agri-Food Canada; University of Prince Edward Island; Geological Survey of Canada","funders":"","keywords":"Nitrate; Nitrification; Groundwater; Environmental science; Soil water; Hydrology (agriculture); Groundwater recharge; Stable isotope ratio; Denitrification; Seasonality; Nitrogen; Environmental chemistry; Ecology; Aquifer; Soil science; Chemistry; Geology; Biology","score_opus":0.03028784949177813,"score_gpt":0.2747715602871576,"score_spread":0.24448371079537948,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2112315449","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9957399,0.000079573656,0.000024848152,0.00029813813,0.000067953304,0.0010939533,0.0000138584155,0.000038303056,0.0026435219],"genre_scores_gemma":[0.99838465,0.000007024337,0.000033800225,0.000063293344,0.00025670804,0.000025324158,0.00022612342,0.000011329328,0.0009917142],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99594873,0.0005375873,0.000679736,0.00070194394,0.0009697771,0.0011622399],"domain_scores_gemma":[0.99841356,0.00017452092,0.000053256874,0.0005590188,0.0004853003,0.00031436715],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003314367,0.0002639184,0.00038223361,0.00054729474,0.00025880296,0.00032512037,0.00071704376,0.00016327848,0.00024625787],"category_scores_gemma":[0.00008550679,0.00016362486,0.00007626192,0.00078403205,0.0002148225,0.00045562998,0.00013314672,0.00052881765,0.0005506268],"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":[0.0013312601,0.0006187983,0.8810985,0.00010355868,0.00006360639,0.0002545149,0.023583865,0.00058271125,0.08415691,0.0000017725077,0.0006220223,0.0075824745],"study_design_scores_gemma":[0.0011706554,0.0010718455,0.77092415,0.000072647716,0.000010581637,0.00004068065,0.0127532715,0.00021292386,0.20694841,0.000121043406,0.006349109,0.00032466697],"about_ca_topic_score_codex":0.0031236731,"about_ca_topic_score_gemma":0.0029749137,"teacher_disagreement_score":0.12279151,"about_ca_system_score_codex":0.000039007205,"about_ca_system_score_gemma":0.00001945156,"threshold_uncertainty_score":0.7077377},"labels":[],"label_agreement":null},{"id":"W2112407619","doi":"10.1029/2006wr005439","title":"Regional estimation of parameters of a rainfall‐runoff model at ungauged watersheds using the “spatial” structures of the parameters within a canonical physiographic‐climatic space","year":2008,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":97,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"Natural Sciences and Engineering Research Council of Canada; Université Laval","keywords":"Extrapolation; Watershed; Kriging; Surface runoff; Range (aeronautics); Mathematics; Statistics; Hydrology (agriculture); Computer science; Geology; Machine learning; Ecology","score_opus":0.07010042164141997,"score_gpt":0.2979376537377796,"score_spread":0.22783723209635962,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2112407619","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99777305,0.000025494752,0.00035350415,0.0010915492,0.000027461349,0.00054740976,0.0000064970627,0.000008801197,0.0001662328],"genre_scores_gemma":[0.99739075,0.000023262546,0.0022603916,0.00006424294,0.000005345987,0.000026422493,0.000004579028,0.000015808988,0.00020921156],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99690115,0.00067699596,0.00046914202,0.00032502395,0.0011406194,0.0004870844],"domain_scores_gemma":[0.99889225,0.00022692171,0.00019383896,0.00059602247,0.000036136895,0.000054821117],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0011674421,0.00018081073,0.00032405666,0.00015634952,0.00061237864,0.000010982848,0.0007224681,0.000091573085,0.000044766366],"category_scores_gemma":[0.000077533965,0.00008660766,0.00017650826,0.0004033948,0.0042599128,0.000096129144,0.0010873071,0.00030389815,0.000004439006],"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":[0.00034016056,0.000077743796,0.03283529,0.00009951593,0.00015082226,0.0000029619928,0.034400053,0.8832075,0.04855217,0.000034470322,0.00023522384,0.00006409483],"study_design_scores_gemma":[0.0010487278,0.00034504946,0.0360688,0.00012597695,0.00012362543,0.00001956094,0.0011694414,0.7721515,0.18138157,0.0071599646,0.00010609993,0.00029966055],"about_ca_topic_score_codex":0.004860957,"about_ca_topic_score_gemma":0.00034466913,"teacher_disagreement_score":0.1328294,"about_ca_system_score_codex":0.00008820528,"about_ca_system_score_gemma":0.0000149666585,"threshold_uncertainty_score":0.9984499},"labels":[],"label_agreement":null},{"id":"W2112655628","doi":"10.1002/2013wr015141","title":"Debates—The future of hydrological sciences: A (common) path forward? A call to action aimed at understanding velocities, celerities and residence time distributions of the headwater hydrograph","year":2014,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":470,"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":"Natural Environment Research Council; Sight Research UK","keywords":"Call to action; Hydrograph; Residence; Residence time (fluid dynamics); Hydrology (agriculture); Path (computing); Environmental science; Geography; Geology; Computer science; Drainage basin; Cartography; Sociology; Demography; Geotechnical engineering","score_opus":0.05039626971877388,"score_gpt":0.28861773447948236,"score_spread":0.2382214647607085,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2112655628","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98868674,0.00006496887,0.00010797393,0.008980354,0.000030401,0.00035328296,0.000009711996,0.000015204672,0.0017513713],"genre_scores_gemma":[0.99860543,0.00004800516,0.00003694907,0.00013401042,0.000029518847,0.000046657082,0.000003411922,0.0000063473917,0.0010896408],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99766177,0.0005991498,0.00022904483,0.000330492,0.00062940625,0.0005501278],"domain_scores_gemma":[0.99934185,0.00022462793,0.00004576655,0.00030170335,0.000015168348,0.00007088455],"candidate_categories":["sts"],"consensus_categories":["sts"],"category_scores_codex":[0.0020539789,0.00012511172,0.00019546013,0.00008710426,0.0014586232,0.000041615083,0.00055887754,0.00007859567,0.00016350411],"category_scores_gemma":[0.000044734516,0.00005794633,0.000062070605,0.00038919572,0.0035458105,0.00009932098,0.0016456395,0.00022682837,0.00003728173],"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":[0.0015254258,0.00040830203,0.76227003,0.0004094265,0.00032086397,0.000019076879,0.08035685,0.008061912,0.110718794,0.0038088937,0.028596725,0.0035036744],"study_design_scores_gemma":[0.0024384395,0.004718916,0.3528085,0.00049245777,0.00020910821,0.000070507056,0.016851293,0.014775559,0.18346907,0.11574204,0.30700976,0.0014143112],"about_ca_topic_score_codex":0.0005807261,"about_ca_topic_score_gemma":0.0006625735,"teacher_disagreement_score":0.40946153,"about_ca_system_score_codex":0.000121977566,"about_ca_system_score_gemma":0.0000032119185,"threshold_uncertainty_score":0.99984133},"labels":[],"label_agreement":null},{"id":"W2113551354","doi":"10.1029/2005wr004195","title":"Residential water demand with endogenous pricing: The Canadian Case","year":2005,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Water resources management and optimization","field":"Engineering","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":"Environment and Climate Change Canada; Brock University","funders":"","keywords":"Endogeneity; Econometrics; Economics; Equity (law); Demand curve; Water pricing; Sample (material); Estimation; Microeconomics; Probabilistic logic; Statistics; Water resources; Mathematics; Ecology; Water conservation","score_opus":0.03759062070044969,"score_gpt":0.2422538298143509,"score_spread":0.2046632091139012,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2113551354","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96215224,0.00018612183,0.00015450035,0.0016638739,0.000047701516,0.00062473444,0.000003224002,0.0001661098,0.035001475],"genre_scores_gemma":[0.9939094,0.000017890034,0.00013965242,0.00005992368,0.00043487205,0.000064948814,0.000030133198,0.000072710034,0.0052704765],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.9974415,0.00017763648,0.00021928811,0.0002799292,0.00064557133,0.0012361173],"domain_scores_gemma":[0.99914193,0.00003011859,0.00000845704,0.00046910773,0.00010511961,0.00024526916],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010555204,0.00019935158,0.00014103309,0.0005065582,0.0011488438,0.0006935278,0.00045682947,0.00009175076,0.0004049801],"category_scores_gemma":[0.0000061838336,0.00009378853,0.000041006708,0.00023407668,0.00017732401,0.00019715304,0.00015553774,0.00047574562,0.0006064803],"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":[0.00015187937,0.000048362428,0.0016272764,0.00020011794,0.0003308531,0.006164093,0.09372678,0.87803715,0.007188406,0.000058310146,0.007725895,0.0047409027],"study_design_scores_gemma":[0.00071691547,0.0001180347,0.0001347854,0.000029618795,0.000038371163,0.0011039302,0.00082803646,0.040228985,0.08176331,0.000048818285,0.87458754,0.0004016473],"about_ca_topic_score_codex":0.039454106,"about_ca_topic_score_gemma":0.25084186,"teacher_disagreement_score":0.86686164,"about_ca_system_score_codex":0.00023897317,"about_ca_system_score_gemma":0.000013796727,"threshold_uncertainty_score":0.96694225},"labels":[],"label_agreement":null},{"id":"W2114002667","doi":"10.1029/2001wr000496","title":"Space‐local spectral texture segmentation applied to characterizing the heterogeneity of hydraulic conductivity","year":2002,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Groundwater flow and contamination 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":true,"ca_institutions":"Western University","funders":"","keywords":"Permeameter; Hydraulic conductivity; Geology; Texture (cosmology); Spatial variability; Outcrop; Sediment; Soil science; Geomorphology; Artificial intelligence; Mathematics; Statistics","score_opus":0.052356628898639276,"score_gpt":0.2910619668532096,"score_spread":0.23870533795457033,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2114002667","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99123824,0.000021497266,0.00079089816,0.0033965243,0.00003231388,0.00043283813,0.000004204487,0.000019480747,0.004064015],"genre_scores_gemma":[0.9966416,0.000006664883,0.000049980677,0.00017041975,0.00005949748,0.000082376406,0.000004135527,0.0000119122205,0.0029734469],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99800044,0.00022735294,0.00018102156,0.00032637696,0.00078917685,0.00047562557],"domain_scores_gemma":[0.99950975,0.000055187793,0.000029206654,0.00029473045,0.000022011203,0.000089083056],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00076394127,0.00012223875,0.00015188166,0.00007391546,0.00040225024,0.00007698427,0.00034008734,0.00004592906,0.0011173512],"category_scores_gemma":[0.000010861129,0.000069799426,0.000047934198,0.00026918692,0.00045489913,0.000121537414,0.00049111305,0.00023263182,0.0010190681],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000046953704,0.0000997821,0.008843143,0.000014576147,0.00002816114,0.0000062931254,0.026034273,0.00019431447,0.9117545,0.000021512773,0.0010476115,0.051908903],"study_design_scores_gemma":[0.00029329123,0.00013439967,0.059519537,0.0000074887844,0.0000071854697,0.0000073262236,0.0019976154,0.0005903806,0.84349555,0.000056288998,0.09373205,0.0001589067],"about_ca_topic_score_codex":0.00043090936,"about_ca_topic_score_gemma":0.00020189941,"teacher_disagreement_score":0.09268444,"about_ca_system_score_codex":0.00012387217,"about_ca_system_score_gemma":0.0000010721393,"threshold_uncertainty_score":0.99979573},"labels":[],"label_agreement":null},{"id":"W2114494963","doi":"10.1002/2014wr016247","title":"Temporal dynamics of catchment transit times from stable isotope data","year":2015,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":74,"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":"TRACER; Surface runoff; Watershed; Flow (mathematics); Mixing (physics); Hydrology (agriculture); Environmental science; Transit time; Series (stratigraphy); Boundary (topology); Drainage basin; Geology; Mathematics; Computer science; Geography; Mechanics; Physics; Engineering","score_opus":0.08395853639608815,"score_gpt":0.3172739872942073,"score_spread":0.23331545089811917,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2114494963","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96230006,0.000099403645,0.00016961063,0.004725232,0.000049290462,0.00030926248,0.00009481418,0.000027361411,0.032224968],"genre_scores_gemma":[0.9873293,0.000023206647,0.00038677503,0.00005505009,0.00003340364,0.000015809765,0.00034889736,0.0000127680205,0.011794768],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99780387,0.00025775534,0.00021228414,0.0004468068,0.0007596642,0.0005196154],"domain_scores_gemma":[0.9989984,0.000043942673,0.000024034127,0.0007886446,0.000019501456,0.00012547843],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0016935789,0.000114063,0.00019025277,0.00007180754,0.00017068842,0.000034206925,0.0010601013,0.00006216238,0.0018037881],"category_scores_gemma":[0.000022665768,0.00007580017,0.000022962065,0.00015334983,0.00058701204,0.00022171985,0.002424137,0.00020663254,0.00099957],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00076935574,0.00064342807,0.75242656,0.00006829605,0.0003573036,0.00012989683,0.046794884,0.0056725238,0.0025867182,0.00008396641,0.18559192,0.004875122],"study_design_scores_gemma":[0.0014476109,0.00045794938,0.008433938,0.000028372071,0.000047363177,0.0000017148789,0.0050272257,0.022459554,0.009992635,0.0074839126,0.9442215,0.00039821427],"about_ca_topic_score_codex":0.017298969,"about_ca_topic_score_gemma":0.0022227284,"teacher_disagreement_score":0.75862956,"about_ca_system_score_codex":0.00011907916,"about_ca_system_score_gemma":0.0000061047467,"threshold_uncertainty_score":0.9997783},"labels":[],"label_agreement":null},{"id":"W2115755448","doi":"10.1029/2001wr000943","title":"Optimal water management and conflict resolution: The Middle East Water Project","year":2002,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Water resources management and optimization","field":"Engineering","cited_by":87,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ministry of Transportation of Ontario","funders":"","keywords":"Middle East; Water scarcity; Value (mathematics); Desalination; Water resources; Scarcity; Environmental economics; Virtual water; Computer science; Water supply; Water resource management; Operations research; Business; Economics; Environmental science; Microeconomics; Engineering; Environmental engineering; Geography","score_opus":0.10030709480955653,"score_gpt":0.25940211327046625,"score_spread":0.15909501846090973,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2115755448","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92357504,0.0008623042,0.00029783128,0.0018986831,0.00013522866,0.0014101767,0.0000052062264,0.0003978264,0.07141772],"genre_scores_gemma":[0.94252735,0.0003465067,0.0003737784,0.00006359499,0.00033559024,0.00026636347,0.000067603716,0.00009844426,0.055920754],"study_design_codex":"qualitative","study_design_gemma":"not_applicable","domain_scores_codex":[0.99687517,0.00023510044,0.00032855346,0.00045152588,0.00079325656,0.0013164232],"domain_scores_gemma":[0.99921036,0.000020262874,0.00000944693,0.0005739917,0.00007400473,0.00011196319],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0010261369,0.00028739797,0.00020347378,0.00047114427,0.00066306454,0.0006481847,0.00057644513,0.00010783499,0.0008302384],"category_scores_gemma":[0.000003296227,0.0001323915,0.00007049076,0.00020324563,0.0003034069,0.00023370044,0.000755431,0.00045265595,0.001084834],"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":[0.00050935557,0.0004057478,0.0010162757,0.002688325,0.00146509,0.0006238884,0.50704587,0.36032864,0.013041372,0.00037389368,0.101477236,0.01102432],"study_design_scores_gemma":[0.00060333963,0.00008394492,0.000068353394,0.000042587133,0.000026190039,0.000015851721,0.0016290029,0.122532964,0.011130122,0.00003351286,0.86354315,0.0002909534],"about_ca_topic_score_codex":0.000041106658,"about_ca_topic_score_gemma":0.0000073662504,"teacher_disagreement_score":0.76206595,"about_ca_system_score_codex":0.000071101436,"about_ca_system_score_gemma":5.857632e-7,"threshold_uncertainty_score":0.9996929},"labels":[],"label_agreement":null},{"id":"W2115761274","doi":"10.1002/2014wr016659","title":"CO<sub>2</sub> dissolution in the presence of background flow of deep saline aquifers","year":2015,"lang":"en","type":"article","venue":"Water Resources Research","topic":"CO2 Sequestration and Geologic Interactions","field":"Environmental Science","cited_by":32,"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 Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; Alberta Innovates - Technology Futures; Western Canada Research Grid; Alberta Innovates; University of Calgary; Australian Government; Compute Canada","keywords":"Dissolution; Aquifer; Plume; Convection; Geology; Advection; Natural convection; Mechanics; Rayleigh number; Flow (mathematics); Forced convection; Convective mixing; Environmental science; Thermodynamics; Chemistry; Geotechnical engineering; Physics; Groundwater","score_opus":0.07533051119218794,"score_gpt":0.34558819023631937,"score_spread":0.27025767904413145,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2115761274","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9853597,0.000021303778,0.00012660694,0.0011691229,0.000029729748,0.000219333,0.0000040019654,0.000006245496,0.013063916],"genre_scores_gemma":[0.9994963,0.000011591758,0.000082784485,0.000029359928,0.000025593268,0.000022804805,0.000015185788,0.0000041767535,0.00031224854],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9979411,0.0005633964,0.00024131907,0.00017720883,0.00078181556,0.00029519116],"domain_scores_gemma":[0.9994072,0.00016827807,0.00003557867,0.00027544954,0.000050144667,0.00006338765],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020642185,0.000065955945,0.00009818558,0.0000911425,0.000078592,0.000027184273,0.00037615697,0.000051505544,0.00046467924],"category_scores_gemma":[0.00015235078,0.00003838189,0.000033014832,0.00030526472,0.0005649434,0.0001481606,0.00013617598,0.00024548272,0.00021753057],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00062930543,0.00071198697,0.053236224,0.000046177218,0.000021360313,0.00003325387,0.07231779,0.026680164,0.82882047,0.00023374028,0.008526004,0.008743507],"study_design_scores_gemma":[0.0014053868,0.0012391169,0.1035414,0.0000725172,0.0000127511485,0.000047739402,0.02888338,0.052449252,0.7333298,0.0044164243,0.074246176,0.0003561032],"about_ca_topic_score_codex":0.001235214,"about_ca_topic_score_gemma":0.0017722693,"teacher_disagreement_score":0.09549074,"about_ca_system_score_codex":0.00008242134,"about_ca_system_score_gemma":0.000008568623,"threshold_uncertainty_score":0.5087912},"labels":[],"label_agreement":null},{"id":"W2116343256","doi":"10.1029/2009wr008353","title":"Bayesian data fusion for water table interpolation: Incorporating a hydrogeological conceptual model in kriging","year":2010,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Soil Geostatistics and Mapping","field":"Environmental Science","cited_by":43,"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":"Kriging; Hydrogeology; Interpolation (computer graphics); Water table; Aquifer; Geostatistics; Geology; Groundwater; Bayesian probability; Hydrology (agriculture); Algorithm; Data mining; Computer science; Statistics; Mathematics; Geotechnical engineering; Artificial intelligence; Spatial variability","score_opus":0.08618725357369449,"score_gpt":0.33957851343091444,"score_spread":0.25339125985721994,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2116343256","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98347837,0.000004934729,0.009908344,0.00057265896,0.000050592225,0.00041162156,0.000029786428,0.0000254092,0.0055183144],"genre_scores_gemma":[0.98773026,0.000001341836,0.010812948,0.00006365729,0.00008176636,0.00006171195,0.00023244726,0.000016810132,0.0009990406],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99789137,0.00010746116,0.0002698496,0.00054359547,0.0004743428,0.0007133751],"domain_scores_gemma":[0.9992069,0.00013030658,0.000023742567,0.0004944434,0.000025472633,0.00011916333],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0024252073,0.00011618725,0.0001410364,0.00010129599,0.0003640814,0.00013430248,0.0007280765,0.00010540839,0.0011200313],"category_scores_gemma":[0.00016120865,0.00007190664,0.000018623861,0.00014250056,0.0004780157,0.00025906283,0.002172924,0.00052382634,0.00013889906],"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":[0.0002556326,0.00020041392,0.08089698,0.00005313513,0.000013463957,0.000056972032,0.024231339,0.019996867,0.8583072,0.00110645,0.003944283,0.01093727],"study_design_scores_gemma":[0.0003633897,0.000057384448,0.00020884551,0.000014990897,0.0000017940862,0.0000044656335,0.0005785463,0.9527335,0.0073173223,0.007754356,0.030825302,0.00014007077],"about_ca_topic_score_codex":0.0012147885,"about_ca_topic_score_gemma":0.0013376113,"teacher_disagreement_score":0.9327367,"about_ca_system_score_codex":0.000037280864,"about_ca_system_score_gemma":0.000009408476,"threshold_uncertainty_score":0.99979305},"labels":[],"label_agreement":null},{"id":"W2117420000","doi":"10.1002/wrcr.20241","title":"Factors affecting the development and dynamics of hypoxia in a large shallow stratified lake: Hourly to seasonal patterns","year":2013,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":116,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph; Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada; National Water Research Institute; Ministry of Natural Resources","keywords":"Hypolimnion; Hypoxia (environmental); Environmental science; Range (aeronautics); Hydrology (agriculture); Atmospheric sciences; Ecology; Eutrophication; Geology; Biology; Engineering; Nutrient","score_opus":0.039163556601726525,"score_gpt":0.25847459831407055,"score_spread":0.21931104171234403,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2117420000","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99655825,0.000022802871,0.00001168117,0.0002863437,0.000022851262,0.0004105571,0.000057134697,0.000008344711,0.0026220067],"genre_scores_gemma":[0.9990401,0.0000017739862,0.000028541486,0.000016684256,0.000025984062,0.000007226659,0.00008603077,0.0000041325466,0.0007894732],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9982891,0.0002423829,0.00021639126,0.00021895564,0.00050750916,0.0005256469],"domain_scores_gemma":[0.99943495,0.00020903739,0.000022223034,0.00014302744,0.000055535376,0.00013523047],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0012152195,0.00010360071,0.00014501868,0.00014893469,0.00018116407,0.00018382074,0.00027837008,0.000046373927,0.0012629138],"category_scores_gemma":[0.000035943038,0.000052982457,0.000021591133,0.00018717156,0.000036293382,0.00010002247,0.00012739633,0.00025146853,0.000066935856],"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":[0.00001368401,0.000013252503,0.9728709,0.00006544944,0.0000094911875,0.000003654726,0.010050771,0.000049553306,0.00004313118,0.0000032957862,0.000021642483,0.016855195],"study_design_scores_gemma":[0.000120358716,0.00008872881,0.98528266,0.000035437977,7.967866e-7,0.0000014099546,0.006913426,0.005070538,0.00029608083,0.000035772482,0.0020715038,0.000083263985],"about_ca_topic_score_codex":0.014163908,"about_ca_topic_score_gemma":0.47541153,"teacher_disagreement_score":0.46124762,"about_ca_system_score_codex":0.000007559626,"about_ca_system_score_gemma":0.000022259526,"threshold_uncertainty_score":0.99965006},"labels":[],"label_agreement":null},{"id":"W2118756765","doi":"10.1029/2005wr004419","title":"Investigating the applicability of end‐member mixing analysis (EMMA) across scale: A study of eight small, nested catchments in a temperate forested watershed","year":2006,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Soil and Water Nutrient Dynamics","field":"Environmental Science","cited_by":131,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McGill University","funders":"","keywords":"Hydrology (agriculture); Watershed; Tributary; Drainage basin; Snowmelt; Groundwater recharge; Environmental science; Groundwater; Throughfall; Geology; Soil water; Geomorphology; Geography; Soil science; Snow; Aquifer; Cartography","score_opus":0.04053381918558439,"score_gpt":0.31315444044351276,"score_spread":0.27262062125792835,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2118756765","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9984199,0.000008535544,0.000007313092,0.00013387005,0.000011624615,0.0010164536,0.000014751931,0.000017269373,0.00037032],"genre_scores_gemma":[0.9993379,0.0000013685317,0.00008339755,0.000009966733,0.00002018403,0.00017528482,0.00004566515,0.000020424668,0.0003058138],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9956129,0.00090279675,0.00078507926,0.0006311166,0.001191941,0.00087616267],"domain_scores_gemma":[0.99875987,0.00017399623,0.00011585017,0.00077811244,0.00006887965,0.000103267215],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003175009,0.00021437788,0.00043879062,0.00022400977,0.00032794604,0.00009422302,0.0008446646,0.000102679725,0.00006111306],"category_scores_gemma":[0.00003628173,0.000120905235,0.00011324993,0.0022779405,0.0009959901,0.00012944553,0.0011208407,0.0003929533,0.000019620638],"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":[0.0000722797,0.0006408128,0.9448277,0.00004090841,0.00006584902,0.000005308996,0.032065555,0.009709631,0.012245204,5.088707e-7,0.000007722448,0.00031856474],"study_design_scores_gemma":[0.0011639374,0.0001696178,0.9472046,0.000020562098,0.000040893934,0.0000011419294,0.0060933204,0.009411621,0.03500859,0.0005199964,0.0001930711,0.00017263512],"about_ca_topic_score_codex":0.05259056,"about_ca_topic_score_gemma":0.009765423,"teacher_disagreement_score":0.04282514,"about_ca_system_score_codex":0.00017731659,"about_ca_system_score_gemma":0.000006821517,"threshold_uncertainty_score":0.9537183},"labels":[],"label_agreement":null},{"id":"W2119902141","doi":"10.1002/2014wr015809","title":"The pronounced seasonality of global groundwater recharge","year":2014,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Groundwater and Isotope Geochemistry","field":"Earth and Planetary Sciences","cited_by":432,"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; Global Institute for Water Security; Alberta Innovates; University of Saskatchewan; University of Calgary","funders":"Consortium of Universities for the Advancement of Hydrologic Science; National Science Foundation","keywords":"Groundwater recharge; Groundwater; Environmental science; Hydrology (agriculture); Depression-focused recharge; Aquifer; Evapotranspiration; Precipitation; Seasonality; Geology; Geography; Ecology; Meteorology","score_opus":0.03232690994602695,"score_gpt":0.2822927853591218,"score_spread":0.24996587541309484,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2119902141","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9667662,0.00014559236,0.000027004042,0.00090854533,0.000090116715,0.00019686259,0.000022902854,0.000025387028,0.03181743],"genre_scores_gemma":[0.99638766,0.000013945464,0.000052874195,0.000034035285,0.00017981573,0.000005770069,0.000054396092,0.0000035667376,0.0032679145],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99708843,0.00058643153,0.00025977104,0.0003235118,0.0009188896,0.0008229534],"domain_scores_gemma":[0.99894106,0.0001988908,0.00003114464,0.00048572497,0.00018716772,0.00015600235],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003662265,0.00012732018,0.00016148892,0.000013341937,0.00057973096,0.00024320268,0.00076962967,0.00008434712,0.0009373844],"category_scores_gemma":[0.00009836946,0.00006062048,0.000075164484,0.00020512955,0.00050258567,0.00011465014,0.00010171047,0.00028482176,0.00056320085],"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":[0.00021309109,0.00003611387,0.97299063,0.00008049307,0.000031305808,0.0000026996327,0.0008599715,0.000040014107,0.0016236975,0.00012821471,0.0011378599,0.022855885],"study_design_scores_gemma":[0.00041823066,0.00031722165,0.43327722,0.000028220711,0.0000065412496,0.000017266033,0.00034472896,0.001543721,0.020374734,0.008634105,0.53481567,0.00022233026],"about_ca_topic_score_codex":0.0040990743,"about_ca_topic_score_gemma":0.0012713679,"teacher_disagreement_score":0.53971344,"about_ca_system_score_codex":0.000016268305,"about_ca_system_score_gemma":0.000023792763,"threshold_uncertainty_score":0.9999759},"labels":[],"label_agreement":null},{"id":"W2121211164","doi":"10.1002/2014wr016169","title":"Ecohydrologic role of solar radiation on landscape evolution","year":2015,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Geology and Paleoclimatology Research","field":"Earth and Planetary Sciences","cited_by":79,"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":"National Aeronautics and Space Administration","keywords":"Vegetation (pathology); Environmental science; Fluvial; Erosion; Hydrology (agriculture); Geology; Physical geography; Geomorphology; Structural basin; Geography","score_opus":0.043301384545712626,"score_gpt":0.28083537993471275,"score_spread":0.2375339953890001,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2121211164","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9546693,0.00092857465,0.0000027631093,0.0005442649,0.000064112966,0.00017990606,0.0000101099895,0.00002443573,0.043576524],"genre_scores_gemma":[0.9991107,0.000027891192,0.000024275427,0.000023997272,0.0000752882,0.0000039644524,0.00010490365,0.000003113084,0.000625884],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9971829,0.0009983437,0.00019162062,0.0002802463,0.0006855314,0.0006613618],"domain_scores_gemma":[0.9990658,0.000275115,0.00002959526,0.00026774622,0.0001638702,0.00019784413],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.002959723,0.00009472351,0.00017475682,0.00046741977,0.00021535925,0.000029548459,0.00038219392,0.00019504502,0.0013284216],"category_scores_gemma":[0.00020064865,0.000060144546,0.000041533058,0.00029170414,0.00034222205,0.000098585835,0.0000446817,0.0004775752,0.0030717875],"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":[0.0003616205,0.000028997496,0.9939156,0.000010833838,0.000014101053,0.000013926138,0.0014020802,0.002478274,0.00011974958,0.000052932526,0.0003254998,0.0012763855],"study_design_scores_gemma":[0.0013974897,0.0028579875,0.87768334,0.000021432688,0.000010342296,0.00006338992,0.0018659778,0.041711677,0.0105769,0.022638619,0.040894393,0.0002784411],"about_ca_topic_score_codex":0.00078606687,"about_ca_topic_score_gemma":0.0005638384,"teacher_disagreement_score":0.116232246,"about_ca_system_score_codex":0.0000039846223,"about_ca_system_score_gemma":0.00004304562,"threshold_uncertainty_score":0.9995845},"labels":[],"label_agreement":null},{"id":"W2121454185","doi":"10.1002/2014wr016763","title":"Observations and modeling of hillslope throughflow temperatures in a coastal forested catchment","year":2015,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":34,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Throughflow; Hydrology (agriculture); Environmental science; Advection; Groundwater; Precipitation; Snow; Geology; Streamflow; Drainage basin; Soil science; Geomorphology; Meteorology","score_opus":0.110335031341594,"score_gpt":0.3224398475978347,"score_spread":0.21210481625624067,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2121454185","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99391925,0.000075994605,0.000025011706,0.001733783,0.000016850152,0.0002427109,0.0000044652306,0.000011095669,0.0039708307],"genre_scores_gemma":[0.9987782,0.000036850663,0.00021626386,0.00005628562,0.00001278237,0.0000396516,0.00000946947,0.000007137392,0.0008433321],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985403,0.00016262125,0.00017552036,0.00023883334,0.0005155311,0.00036720964],"domain_scores_gemma":[0.9996937,0.000029765408,0.000012108928,0.00016258762,0.000032142383,0.0000697315],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013085989,0.00008230075,0.00013059897,0.0001012405,0.0001416247,0.00002572179,0.00018102983,0.000043310465,0.00004195745],"category_scores_gemma":[0.000055218377,0.000054611955,0.0000150442265,0.0001980829,0.0003499652,0.00014039103,0.00083228707,0.00018044117,0.000024443541],"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":[0.00017026292,0.00014568624,0.88965815,0.00003906833,0.000032115662,0.000032895197,0.044626083,0.059614465,0.0028970365,0.00009047756,0.0025059928,0.00018776918],"study_design_scores_gemma":[0.008402887,0.0019226901,0.38016468,0.00029898935,0.000057406716,0.000024801384,0.027724765,0.3990662,0.013458593,0.036091402,0.13141797,0.001369605],"about_ca_topic_score_codex":0.0040140827,"about_ca_topic_score_gemma":0.0021980025,"teacher_disagreement_score":0.50949347,"about_ca_system_score_codex":0.000060650986,"about_ca_system_score_gemma":0.0000047777794,"threshold_uncertainty_score":0.60681194},"labels":[],"label_agreement":null},{"id":"W2122955485","doi":"10.1002/2013wr014546","title":"Valuing water quality in urban watersheds: A comparative analysis of Johnson Creek, Oregon, and Burnt Bridge Creek, Washington","year":2014,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":61,"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":"U.S. Environmental Protection Agency","keywords":"Hydrology (agriculture); Water quality; Bridge (graph theory); Environmental science; Civil engineering; Engineering; Geotechnical engineering","score_opus":0.23261994129002658,"score_gpt":0.3325185615325402,"score_spread":0.09989862024251364,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2122955485","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99452645,0.0002314389,0.00016315706,0.00028221396,0.000029169089,0.00024842232,0.000032755903,0.000011513353,0.00447486],"genre_scores_gemma":[0.99842995,0.00007705832,0.000082486535,0.00003985218,0.0000493626,0.00003283886,0.00010338042,0.000017266675,0.0011677872],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99729997,0.00038312073,0.00091765256,0.0006328388,0.00015745079,0.00060899666],"domain_scores_gemma":[0.9991367,0.0001479283,0.00012765246,0.0004381187,0.000033273707,0.00011636521],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006685416,0.00015563655,0.0007583397,0.00086632464,0.00017206823,0.00021078228,0.00030035048,0.00012179223,0.00069274113],"category_scores_gemma":[0.000054012184,0.00013627074,0.00013219075,0.0002948594,0.0002870861,0.00025826806,0.0003125529,0.00030654043,0.00021711609],"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":[0.000058042046,0.0000993362,0.967998,0.000054114287,0.00021592468,0.0000010339447,0.027601777,0.0010726987,0.0019357322,0.0006011496,0.00012614974,0.00023601521],"study_design_scores_gemma":[0.00071854034,0.00014975303,0.9612527,0.000020778323,0.000026042644,5.3997866e-7,0.00062483444,0.014436673,0.004263672,0.0019897993,0.016269779,0.00024687618],"about_ca_topic_score_codex":0.02128644,"about_ca_topic_score_gemma":0.0021592833,"teacher_disagreement_score":0.026976941,"about_ca_system_score_codex":0.00019864083,"about_ca_system_score_gemma":0.0000026264909,"threshold_uncertainty_score":0.9852309},"labels":[],"label_agreement":null},{"id":"W2123661904","doi":"10.1029/2006wr004964","title":"Low‐dimensional modeling of hillslope subsurface flow: Relationship between rainfall, recharge, and unsaturated storage dynamics","year":2007,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":61,"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":"Groundwater recharge; Richards equation; Hydrograph; Water table; Outflow; Aquifer; Geology; Flow (mathematics); Coupling (piping); Vadose zone; Hydrology (agriculture); Soil science; Mathematics; Geotechnical engineering; Surface runoff; Groundwater; Soil water; Geometry","score_opus":0.0513952423271019,"score_gpt":0.30338806895402176,"score_spread":0.25199282662691985,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2123661904","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9945327,0.00005178499,0.0009783815,0.00088154076,0.000028895589,0.0002672401,0.00000994684,0.00003208082,0.0032174138],"genre_scores_gemma":[0.9967625,0.000014260292,0.0006130072,0.000035402543,0.00002736102,0.000005233852,0.00005219288,0.000017606675,0.0024724351],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9977381,0.00026679103,0.00031713975,0.0003949983,0.00063925405,0.00064367166],"domain_scores_gemma":[0.9992028,0.0003484915,0.00003486841,0.00025220006,0.000039500534,0.00012212955],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0039385497,0.00014299779,0.00019991818,0.00019053569,0.00052657584,0.00002708932,0.00026129282,0.00014770674,0.0001747238],"category_scores_gemma":[0.000120461555,0.00010401877,0.000033842043,0.00033618152,0.00054258766,0.00016732569,0.0007825545,0.00048400892,0.00015248294],"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":[0.00031452673,0.00009106525,0.8603079,0.0000784159,0.00008749019,0.000045237,0.00860899,0.12529546,0.003143062,0.000089895846,0.00063337444,0.0013045961],"study_design_scores_gemma":[0.0017482572,0.00042071493,0.4470418,0.00011933175,0.00005933749,0.000008230064,0.0013830094,0.5275312,0.0080922535,0.006422343,0.0063954554,0.00077805715],"about_ca_topic_score_codex":0.00038129563,"about_ca_topic_score_gemma":0.00019739958,"teacher_disagreement_score":0.41326606,"about_ca_system_score_codex":0.0001342346,"about_ca_system_score_gemma":0.000003313835,"threshold_uncertainty_score":0.42417622},"labels":[],"label_agreement":null},{"id":"W2123891082","doi":"10.1002/2014wr016310","title":"Measurement and simulation of subsurface tracer migration to tile drains in low permeability, macroporous soil","year":2015,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Soil and Unsaturated Flow","field":"Engineering","cited_by":25,"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","funders":"","keywords":"Tile drainage; Macropore; TRACER; Environmental science; Soil science; Permeability (electromagnetism); Hydrology (agriculture); Tile; Leaching (pedology); Soil water; Geology; Materials science; Geotechnical engineering","score_opus":0.06455899772522479,"score_gpt":0.30435710003247,"score_spread":0.23979810230724524,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2123891082","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99819744,0.00025961586,0.0000950551,0.00022504487,0.000038548194,0.0002682685,0.0000034443242,0.00004339195,0.0008691767],"genre_scores_gemma":[0.9997327,0.0000084576905,0.00003812405,0.0000050550966,0.00003663391,0.00001812924,0.0000051136817,0.000019965446,0.0001358511],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998379,0.00015104207,0.00021378139,0.00018497108,0.0007388781,0.00033230858],"domain_scores_gemma":[0.9993489,0.000032264805,0.0000074944523,0.00018629624,0.00028700646,0.00013807284],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016088121,0.00009582963,0.00013630872,0.00022484717,0.00003633425,0.000054214313,0.00010570339,0.00008434201,0.000019023639],"category_scores_gemma":[0.0001033173,0.0000731789,0.00001810582,0.0002631303,0.00005515827,0.00009121591,0.000053519903,0.00021104146,0.00003109291],"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":[0.000116047035,0.000056436143,0.010241102,0.00015172912,0.000012153103,0.0000057467223,0.032501273,0.9067898,0.04516012,9.456333e-7,0.00022588785,0.0047387667],"study_design_scores_gemma":[0.0007968811,0.0001722491,0.020858029,0.0001205165,0.0000040736586,0.0000018688314,0.0012515759,0.85200846,0.11467251,0.00014137488,0.009765318,0.00020714938],"about_ca_topic_score_codex":0.0006504653,"about_ca_topic_score_gemma":0.0020875272,"teacher_disagreement_score":0.06951239,"about_ca_system_score_codex":0.00014070497,"about_ca_system_score_gemma":0.0000143841735,"threshold_uncertainty_score":0.2984149},"labels":[],"label_agreement":null},{"id":"W2124360470","doi":"10.1002/2014wr015617","title":"Abiotic control of underwater light in a drinking water reservoir: Photon budget analysis and implications for water quality monitoring","year":2015,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Marine and coastal ecosystems","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":"Institut National de la Recherche Scientifique; Université Laval; Center for Northern Studies","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Colored dissolved organic matter; Environmental science; Water column; Photosynthetically active radiation; Phytoplankton; Attenuation; Water quality; Attenuation coefficient; Secchi disk; Absorption (acoustics); Diel vertical migration; Chlorophyll a; Hydrology (agriculture); Oceanography; Atmospheric sciences; Eutrophication; Chemistry; Ecology; Geology; Photosynthesis; Physics; Optics; Nutrient","score_opus":0.06980969642572493,"score_gpt":0.32650440219409677,"score_spread":0.25669470576837183,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2124360470","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9958482,0.00011979046,0.00009730811,0.0019179271,0.00004227017,0.0005328116,0.000037634167,0.000018013976,0.0013860466],"genre_scores_gemma":[0.9987154,0.0000117639465,0.00006128743,0.000014025284,0.00010062028,0.000031306325,0.00013396757,0.000008189669,0.0009234336],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99716485,0.00051665754,0.0005281934,0.00044126704,0.00049395015,0.000855099],"domain_scores_gemma":[0.9988958,0.00018305177,0.000033385433,0.0004063949,0.0002561463,0.00022522312],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0042178663,0.00015326773,0.00041270262,0.0006624147,0.0001989471,0.00019538653,0.0003658147,0.00010798445,0.00015529136],"category_scores_gemma":[0.000040854757,0.00007861031,0.000101959035,0.0003135273,0.0001058094,0.00019220795,0.0001372185,0.00022904629,0.00004435702],"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":[0.00029956215,0.00003085098,0.9726339,0.0001257551,0.00013285509,0.0000037720204,0.009026098,0.00072973693,0.016122427,0.0000046567934,0.000017521981,0.0008728766],"study_design_scores_gemma":[0.0034906864,0.0007484981,0.5064933,0.0000920146,0.00016153435,0.000011047934,0.0032888935,0.012479837,0.41465956,0.007916768,0.049984347,0.00067353685],"about_ca_topic_score_codex":0.024180016,"about_ca_topic_score_gemma":0.014249177,"teacher_disagreement_score":0.46614063,"about_ca_system_score_codex":0.000020432692,"about_ca_system_score_gemma":0.000013096714,"threshold_uncertainty_score":0.98231804},"labels":[],"label_agreement":null},{"id":"W2125036396","doi":"10.1029/2002wr001278","title":"Knudsen diffusion, gas permeability, and water content in an unconsolidated porous medium","year":2002,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Groundwater flow and contamination studies","field":"Environmental Science","cited_by":97,"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":"","keywords":"Knudsen diffusion; Knudsen number; Saturation (graph theory); Diffusion; Porous medium; Permeability (electromagnetism); Gaseous diffusion; Soil vapor extraction; Porosity; Thermodynamics; Effective diffusion coefficient; Chemistry; Silt; Vapor pressure; Materials science; Analytical Chemistry (journal); Chromatography; Geology; Organic chemistry; Physical chemistry","score_opus":0.0757360851086316,"score_gpt":0.2918455182877174,"score_spread":0.21610943317908576,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2125036396","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99350107,0.000064987355,0.0000039935358,0.003640412,0.00003620398,0.00035045246,0.0000031774082,0.00003658506,0.0023631188],"genre_scores_gemma":[0.9799398,0.000040963347,0.000015030318,0.00013447032,0.000039070703,0.00007154616,0.000014424862,0.000017854425,0.019726802],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99690557,0.00051068445,0.0003036998,0.0005730416,0.00083807664,0.00086894195],"domain_scores_gemma":[0.99930054,0.000057343223,0.00001373599,0.00036760423,0.000053503547,0.00020726868],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0013130009,0.00017237363,0.00021793836,0.00015505728,0.00037899282,0.0001791906,0.00035477537,0.00008749206,0.0046188394],"category_scores_gemma":[0.00003284433,0.00009617579,0.000027273476,0.00014445565,0.0007331668,0.00023512078,0.0010756843,0.0003140018,0.001133531],"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":[0.00008023666,0.00043861335,0.7361584,0.000025631934,0.000015796559,0.00012893259,0.07345471,0.00001739879,0.16524367,0.000003922327,0.0010782263,0.02335447],"study_design_scores_gemma":[0.0024715667,0.0007243129,0.6905192,0.000037816186,0.00001250399,0.000057574976,0.009367453,0.0029943523,0.06183286,0.00047550196,0.23085193,0.0006548836],"about_ca_topic_score_codex":0.0037580035,"about_ca_topic_score_gemma":0.0029353069,"teacher_disagreement_score":0.2297737,"about_ca_system_score_codex":0.00015940543,"about_ca_system_score_gemma":0.0000012812417,"threshold_uncertainty_score":0.9996442},"labels":[],"label_agreement":null},{"id":"W2126171847","doi":"10.1029/2005wr004723","title":"Dynamically dimensioned search algorithm for computationally efficient watershed model calibration","year":2007,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":925,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Calibration; Computer science; Algorithm; Function (biology); Mathematical optimization; Watershed; Optimization problem; Data mining; Mathematics; Machine learning; Statistics","score_opus":0.03180139243523464,"score_gpt":0.3072293860169389,"score_spread":0.2754279935817042,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2126171847","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.73402464,0.0000069492894,0.26145458,0.0016712444,0.00003557834,0.0007042613,0.0000074193244,0.00005663066,0.0020386958],"genre_scores_gemma":[0.9789817,0.0000029216008,0.01585378,0.00024068427,0.00005542427,0.00006714235,0.000111469104,0.000026679287,0.0046602036],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9969312,0.00017608832,0.00030649934,0.00054559193,0.0009913719,0.0010492417],"domain_scores_gemma":[0.9993233,0.00019663257,0.00002083756,0.00023925176,0.0000623361,0.00015763151],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0037613995,0.00015990283,0.0001688552,0.00020935656,0.0008828523,0.00007280359,0.00036786072,0.00010742255,0.00021262506],"category_scores_gemma":[0.000024122304,0.000108718894,0.000068928515,0.00021992154,0.0005593005,0.000105006744,0.000792677,0.00025805456,0.00035883157],"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":[0.00046593556,0.0003440312,0.00208264,0.000041518793,0.000083116836,0.00003673909,0.012168528,0.9384364,0.028261917,0.00018954769,0.00239752,0.015492111],"study_design_scores_gemma":[0.0004919971,0.00014688456,0.0014079208,0.0000056987383,0.00000770261,0.0000017796191,0.00021378853,0.98271465,0.0103453845,0.0015848434,0.002919044,0.00016032417],"about_ca_topic_score_codex":0.00014958189,"about_ca_topic_score_gemma":0.000049737748,"teacher_disagreement_score":0.2456008,"about_ca_system_score_codex":0.00018416556,"about_ca_system_score_gemma":0.0000053386416,"threshold_uncertainty_score":0.67902756},"labels":[],"label_agreement":null},{"id":"W2126796876","doi":"10.1002/2014wr016552","title":"Should hydraulic tomography data be interpreted using geostatistical inverse modeling? A laboratory sandbox investigation","year":2015,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Groundwater flow and contamination studies","field":"Environmental Science","cited_by":57,"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":"Natural Sciences and Engineering Research Council of Canada; Strategic Environmental Research and Development Program; China Scholarship Council; Ontario Research Foundation","keywords":"Geostatistics; Geology; Calibration; Kriging; Data set; Synthetic data; Variogram; Inverse problem; Soil science; Computer science; Algorithm; Machine learning; Artificial intelligence; Statistics; Mathematics; Spatial variability","score_opus":0.24088998683901425,"score_gpt":0.36829586623850274,"score_spread":0.1274058793994885,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2126796876","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99029785,0.00006765966,0.007617007,0.00091885455,0.000064830034,0.00024917265,0.00006012867,0.000058876936,0.00066559616],"genre_scores_gemma":[0.99762,0.0000049359605,0.0011920537,0.00047791307,0.0000694561,0.00002568431,0.00013513814,0.00002430344,0.0004505153],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99668026,0.00053315685,0.00028599758,0.0005973286,0.0013093961,0.000593889],"domain_scores_gemma":[0.9987598,0.00006675629,0.000025887119,0.000688157,0.00012230194,0.00033710618],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020301163,0.0001668655,0.00017424529,0.0002188959,0.00033107307,0.00021043436,0.0007548899,0.000096608266,0.00023528325],"category_scores_gemma":[0.00020711444,0.00012207817,0.000027320028,0.0005580756,0.00071122765,0.00055345776,0.0020562194,0.0003760319,0.00030214328],"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":[0.0012482632,0.0006453034,0.38773724,0.00022655964,0.00047157824,0.0004539756,0.27306834,0.03408268,0.1393063,0.00016784847,0.14071642,0.021875473],"study_design_scores_gemma":[0.0006228633,0.00012706932,0.00079450244,0.000033867247,0.000022615586,0.0000061387695,0.0028904811,0.87675625,0.0026908973,0.00073118485,0.11503239,0.00029173694],"about_ca_topic_score_codex":0.0035093236,"about_ca_topic_score_gemma":0.000504524,"teacher_disagreement_score":0.8426736,"about_ca_system_score_codex":0.00019659185,"about_ca_system_score_gemma":0.000025260111,"threshold_uncertainty_score":0.5305071},"labels":[],"label_agreement":null},{"id":"W2127211441","doi":"10.1029/2009wr008074","title":"Does a property‐specific environmental health risk create a “neighborhood” housing price stigma? Arsenic in private well water","year":2010,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":38,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Nova Scotia Department of Agriculture","funders":"","keywords":"Purchasing; Superfund; Bottled water; Arsenic contamination of groundwater; Arsenic; Business; Natural resource economics; Safe Drinking Water Act; Groundwater; Environmental health; Environmental engineering; Environmental science; Waste management; Hazardous waste; Economics; Water quality; Engineering; Medicine","score_opus":0.03426667482601786,"score_gpt":0.24573039291945528,"score_spread":0.21146371809343742,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2127211441","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9795856,0.00015567831,0.00003436395,0.0017312595,0.000313486,0.0008119426,0.00006289436,0.00006320737,0.017241606],"genre_scores_gemma":[0.99269235,0.0018005029,0.00029391656,0.000094381,0.0003035958,0.00007887259,0.000049908816,0.00011240485,0.004574067],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9956154,0.00023697094,0.001054954,0.0010736195,0.00016972965,0.0018493184],"domain_scores_gemma":[0.99847835,0.0000780408,0.00017166599,0.0009280483,0.000016821197,0.0003270896],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.005070132,0.0003275115,0.0006782996,0.0008953642,0.0006786055,0.0005224486,0.0007346771,0.0002311632,0.0019873069],"category_scores_gemma":[0.000048284266,0.00016219838,0.00014278897,0.00020592324,0.0003784249,0.00034088717,0.000591836,0.0015619207,0.0041354913],"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":[0.0009742349,0.0014446205,0.9047298,0.00088201644,0.00020882557,0.00015126886,0.055426985,0.0003599184,0.015008158,0.0011783338,0.00085591496,0.018779935],"study_design_scores_gemma":[0.0018964174,0.00027064446,0.016364882,0.00011178294,0.0000049671894,0.000011998154,0.00055347005,0.0037577152,0.008023925,0.013347457,0.95474076,0.00091600145],"about_ca_topic_score_codex":0.001823826,"about_ca_topic_score_gemma":0.0005519346,"teacher_disagreement_score":0.95388484,"about_ca_system_score_codex":0.00040901572,"about_ca_system_score_gemma":0.000020546891,"threshold_uncertainty_score":0.99892503},"labels":[],"label_agreement":null},{"id":"W2127797760","doi":"10.1002/2012wr013441","title":"Comparison of Lake Ontario and St. Lawrence River hydrologic droughts and their relationship to climate indices","year":2014,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Drought Analysis","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":true,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Hydrology (agriculture); Environmental science; Climatology; Climate change; Hydrological modelling; Physical geography; Geology; Geography; Oceanography","score_opus":0.048017533468294425,"score_gpt":0.3160064131634996,"score_spread":0.2679888796952052,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2127797760","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9907184,0.000036556856,0.00003490444,0.0005100633,0.000008516952,0.00013276584,0.000004841472,0.000012961238,0.008540954],"genre_scores_gemma":[0.99876744,0.000013752061,0.00018151333,0.00007083661,0.0000151585855,0.000012490689,0.000010643724,0.0000061266655,0.0009220621],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9982161,0.00043834548,0.00021465935,0.00036959938,0.00032494718,0.00043634104],"domain_scores_gemma":[0.9992728,0.00028418566,0.00003880763,0.00024493563,0.000014807607,0.00014443646],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001721465,0.00010994152,0.00023163548,0.00013161328,0.00041659232,0.000042822783,0.00025486827,0.00011559499,0.00072856795],"category_scores_gemma":[0.00006364532,0.000067548244,0.00002393019,0.0002307191,0.0008806979,0.00012324948,0.0006306838,0.00034408324,0.00024242216],"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":[0.000052794418,0.00003615772,0.9708356,0.000007911335,0.000010329295,0.0000013419937,0.026804367,0.00046750574,0.00058276235,0.00003680859,0.00011173746,0.0010526406],"study_design_scores_gemma":[0.00025618752,0.00040286875,0.8270064,0.000012239752,0.000014159998,0.0000037808043,0.0002596172,0.003805907,0.003007176,0.0055344766,0.15954453,0.00015266114],"about_ca_topic_score_codex":0.003825691,"about_ca_topic_score_gemma":0.14005901,"teacher_disagreement_score":0.1594328,"about_ca_system_score_codex":0.000030147188,"about_ca_system_score_gemma":0.0000029592072,"threshold_uncertainty_score":0.87563264},"labels":[],"label_agreement":null},{"id":"W2128013735","doi":"10.1029/2006wr005636","title":"Estimating resilience for water resources systems","year":2007,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Water resources management and optimization","field":"Engineering","cited_by":85,"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 British Columbia","funders":"","keywords":"Bivariate analysis; Resilience (materials science); Probabilistic logic; Computer science; Reliability (semiconductor); Range (aeronautics); Autoregressive model; Mathematical optimization; Importance sampling; Domain (mathematical analysis); Lag; Time domain; Reliability engineering; Econometrics; Mathematics; Statistics; Engineering; Artificial intelligence; Machine learning; Monte Carlo method","score_opus":0.03312072271649673,"score_gpt":0.29386658850783326,"score_spread":0.2607458657913365,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2128013735","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9452009,0.0003414129,0.037064027,0.00014464337,0.00044214114,0.0011950271,0.0000065157383,0.0005912286,0.015014058],"genre_scores_gemma":[0.9863977,0.000010564311,0.0032131078,0.000017694749,0.0009081113,0.00016337722,0.00006978222,0.00012730736,0.009092399],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.99599844,0.00013089477,0.00058182026,0.00051214715,0.00096618687,0.0018105322],"domain_scores_gemma":[0.99879247,0.00019277238,0.00002553543,0.00055078015,0.00021515161,0.00022327568],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0043817447,0.00029374874,0.00029393582,0.0007877295,0.00062318513,0.0006598339,0.00077153416,0.00017310993,0.00007260759],"category_scores_gemma":[0.00006111596,0.00019070391,0.000096319665,0.00033112636,0.00018884383,0.0002848265,0.00031146768,0.00041583276,0.00029987082],"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":[0.000222589,0.00005008402,0.0010158364,0.0011620076,0.00010440308,0.000052871186,0.02771944,0.9283691,0.03300623,0.0000821896,0.0040644826,0.004150778],"study_design_scores_gemma":[0.0006134061,0.0001444541,0.000189846,0.00013257524,0.000016525413,0.000008565957,0.0011879929,0.44744998,0.05932699,0.00022178909,0.49026635,0.00044151445],"about_ca_topic_score_codex":0.00011995899,"about_ca_topic_score_gemma":0.000023352612,"teacher_disagreement_score":0.48620188,"about_ca_system_score_codex":0.00014455535,"about_ca_system_score_gemma":0.0000023735383,"threshold_uncertainty_score":0.777668},"labels":[],"label_agreement":null},{"id":"W2128017141","doi":"10.1029/2004wr003928","title":"Chemical heterogeneity in diffusion‐dominated aquitards","year":2005,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Geophysical and Geoelectrical Methods","field":"Earth and Planetary Sciences","cited_by":9,"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 Saskatchewan","funders":"","keywords":"Geology; Borehole; Aquifer; Hydraulic conductivity; Piezometer; Diffusion; Soil science; Mineralogy; Groundwater; Geotechnical engineering; Thermodynamics; Soil water; Physics","score_opus":0.04235070598640751,"score_gpt":0.3230972748263278,"score_spread":0.2807465688399203,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2128017141","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9921119,0.00020832573,0.000006766451,0.0015166231,0.00002861315,0.00016721372,0.000007244744,0.000032241496,0.005921026],"genre_scores_gemma":[0.99782693,0.0000148738345,0.000585941,0.00011008109,0.00025925922,0.000004757952,0.000029280005,0.000004582485,0.0011642779],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9969784,0.00061638904,0.00024126115,0.0004099533,0.00074274756,0.0010112472],"domain_scores_gemma":[0.99911445,0.0003091937,0.000012447709,0.000239768,0.000061851795,0.00026226102],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0014466324,0.00013216777,0.00021466818,0.00023646395,0.00015266593,0.000084101484,0.00046418878,0.00011924213,0.002360481],"category_scores_gemma":[0.00015441366,0.00007875351,0.000070778624,0.00059983076,0.000191789,0.000104012506,0.000097456934,0.0006295278,0.0020501204],"study_design_candidate":"design_other","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":[0.00037117442,0.00022268126,0.0601528,0.000029301451,0.000013622019,0.000064976135,0.0015900785,0.00046239013,0.03712429,0.000012108111,0.00035508623,0.8996015],"study_design_scores_gemma":[0.0011892242,0.00036125127,0.5023901,0.000029762317,0.0000050455824,0.000017725979,0.00010783535,0.029296253,0.27762324,0.0032350114,0.18528305,0.00046151236],"about_ca_topic_score_codex":0.002550518,"about_ca_topic_score_gemma":0.00096529274,"teacher_disagreement_score":0.89914,"about_ca_system_score_codex":0.000015648648,"about_ca_system_score_gemma":0.0000108326085,"threshold_uncertainty_score":0.9987269},"labels":[],"label_agreement":null},{"id":"W2128649284","doi":"10.1029/2008wr007501","title":"Intercomparison of homogenization techniques for precipitation data continued: Comparison of two recent Bayesian change point models","year":2009,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Drought Analysis","field":"Environmental Science","cited_by":38,"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 Ottawa; Environment and Climate Change Canada; Institut National de la Recherche Scientifique","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Change detection; Series (stratigraphy); Bayesian probability; Homogenization (climate); Linear regression; Time series; Regression; Computer science; Homogeneous; Statistics; Mathematics; Algorithm; Data mining; Artificial intelligence; Geology","score_opus":0.15483550041343397,"score_gpt":0.40987932221783224,"score_spread":0.2550438218043983,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2128649284","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93368816,0.00021884665,0.058375515,0.0018201781,0.000023234454,0.0011922506,0.000047707355,0.000041798998,0.0045922752],"genre_scores_gemma":[0.99450487,0.000043162087,0.0049368665,0.000031478772,0.00004241702,0.000044522752,0.0002576958,0.000009732674,0.00012925878],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9980777,0.00031057518,0.00043567296,0.00036519417,0.00048015144,0.0003306961],"domain_scores_gemma":[0.99907446,0.00008242846,0.00010991095,0.0005831619,0.000089504596,0.000060532882],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017985778,0.000100345744,0.00029456627,0.00019501615,0.00011681873,0.000021627435,0.00067391456,0.000091451235,0.00024422904],"category_scores_gemma":[0.0000636594,0.00007592596,0.000048126432,0.0003338061,0.0002334593,0.00037059377,0.00034326888,0.00015968949,0.000013171304],"study_design_candidate":"bench_or_experimental","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":[0.0016813852,0.0021507235,0.13032007,0.00016388878,0.0001827654,0.0000032461544,0.09758765,0.009430947,0.179926,0.00040330537,0.009545036,0.568605],"study_design_scores_gemma":[0.0006826205,0.0011065744,0.002318637,0.00006792115,0.00006447643,0.0000011169025,0.0008748947,0.53695023,0.42004952,0.0131354295,0.02451717,0.000231415],"about_ca_topic_score_codex":0.00065856555,"about_ca_topic_score_gemma":0.0004225394,"teacher_disagreement_score":0.56837356,"about_ca_system_score_codex":0.000056223893,"about_ca_system_score_gemma":0.0000036029478,"threshold_uncertainty_score":0.30961707},"labels":[],"label_agreement":null},{"id":"W2129442773","doi":"10.1002/2014wr016534","title":"Global sensitivity analysis of the radiative transfer model","year":2015,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Soil Moisture and Remote Sensing","field":"Environmental Science","cited_by":29,"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":"Water content; Radiative transfer; Environmental science; Vegetation (pathology); Precipitation; Sensitivity (control systems); Soil science; Atmospheric radiative transfer codes; Moisture; Atmospheric sciences; Meteorology; Geography; Physics; Geology","score_opus":0.06015680150052469,"score_gpt":0.31612328901233444,"score_spread":0.2559664875118097,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2129442773","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.945889,0.000015215565,0.0005839578,0.00055835384,0.000020707655,0.00011777979,0.0000061461706,0.000009336489,0.05279949],"genre_scores_gemma":[0.9989436,0.0000017252933,0.000076712895,0.0000612753,0.000020692712,5.6914433e-7,0.000002425316,0.000005580579,0.0008874076],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99764353,0.0005870654,0.00013112834,0.00024670613,0.0010281319,0.000363421],"domain_scores_gemma":[0.99941874,0.000051663596,0.000010334653,0.00035330627,0.0000414785,0.0001244715],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001492397,0.00008234202,0.00016977117,0.00006976104,0.0001397115,0.000026914488,0.00021873569,0.00006450986,0.000027960423],"category_scores_gemma":[0.000051046816,0.00004050762,0.0001348385,0.0011369479,0.0005779555,0.00005766337,0.00029424453,0.00016892016,0.000052359443],"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":[0.0000985398,0.00007752889,0.18676881,0.0000043001287,0.00024701195,0.00001571141,0.02563406,0.77059174,0.009029665,0.000020328105,0.0009581946,0.0065541123],"study_design_scores_gemma":[0.0003293285,0.00004764912,0.40801874,0.000008162968,0.00016055514,0.0000052913083,0.0009619836,0.56625855,0.01843831,0.00090185244,0.004716228,0.00015337543],"about_ca_topic_score_codex":0.0058168718,"about_ca_topic_score_gemma":0.007814437,"teacher_disagreement_score":0.22124992,"about_ca_system_score_codex":0.00019778642,"about_ca_system_score_gemma":0.000011375622,"threshold_uncertainty_score":0.8793409},"labels":[],"label_agreement":null},{"id":"W2129846848","doi":"10.1029/2003wr002583","title":"Confluence effects in rivers: Interactions of basin scale, network geometry, and disturbance regimes","year":2004,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Sediment Transport Processes","field":"Environmental Science","cited_by":308,"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":"Tributary; Confluence; Landform; Hydrology (agriculture); Drainage basin; Geology; Drainage density; Watershed; Sediment; Channel (broadcasting); Geomorphology; Drainage network; Disturbance (geology); Structural basin; Geography; Geotechnical engineering","score_opus":0.01453091452270393,"score_gpt":0.2760234370736404,"score_spread":0.26149252255093647,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2129846848","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99554116,0.00025838026,0.00008633229,0.0005551048,0.000026555177,0.00019832526,0.0000015553918,0.0000123688105,0.0033202278],"genre_scores_gemma":[0.9988992,0.00006867261,0.00027468824,0.000061588435,0.0000213279,0.000023363842,0.00000333146,0.000007091933,0.0006407279],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998638,0.00012443782,0.00016451198,0.00030515506,0.0003314011,0.000436548],"domain_scores_gemma":[0.9995678,0.00014485221,0.000021432328,0.00017327245,0.000011952555,0.00008067906],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00063778914,0.00008967056,0.00015542463,0.00010455733,0.00015471951,0.000019750376,0.00024150634,0.000060730017,0.00029073833],"category_scores_gemma":[0.000030048832,0.000065663626,0.000021899577,0.0004057624,0.00093747606,0.00019620814,0.0001583627,0.00031353015,0.00008977314],"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":[0.00020150593,0.00016157769,0.96873933,0.00011534638,0.000015020992,0.000067551846,0.007841319,0.0139133055,0.00678151,0.0000683452,0.0001742949,0.0019208845],"study_design_scores_gemma":[0.001395344,0.00036481052,0.8802942,0.0003113955,0.000011362318,0.000016589507,0.00020967016,0.00019257519,0.060126156,0.007268809,0.049562395,0.0002467145],"about_ca_topic_score_codex":0.0016676045,"about_ca_topic_score_gemma":0.0005070777,"teacher_disagreement_score":0.08844516,"about_ca_system_score_codex":0.00005471884,"about_ca_system_score_gemma":0.0000049017385,"threshold_uncertainty_score":0.34541696},"labels":[],"label_agreement":null},{"id":"W2130491966","doi":"10.1002/2015wr017664","title":"Channel adjustments to a succession of water pulses in gravel bed rivers","year":2015,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Sediment Transport Processes","field":"Environmental Science","cited_by":25,"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 British Columbia","funders":"","keywords":"Flume; Sorting; Bed load; Sediment; Geology; Hydrology (agriculture); Flood myth; Sediment transport; Environmental science; Channel (broadcasting); Flow (mathematics); Flow conditions; Geotechnical engineering; Geomorphology; Mechanics","score_opus":0.05645944277343472,"score_gpt":0.3157911260352566,"score_spread":0.2593316832618219,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2130491966","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99503,0.000029269257,0.000013284217,0.00086008175,0.000035302015,0.00029845437,0.000003639046,0.0000140438915,0.0037159384],"genre_scores_gemma":[0.9981692,0.0000098782375,0.000047682024,0.00009153664,0.000018202723,0.000047991416,0.000019492683,0.000012198352,0.001583829],"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9977013,0.00018410184,0.00023263309,0.00035906793,0.0008254638,0.0006974581],"domain_scores_gemma":[0.9994732,0.000022840559,0.000012813883,0.00021694959,0.000030394562,0.00024378534],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0013433804,0.00011611753,0.0001758299,0.00024577975,0.00009844761,0.000016626404,0.0004846401,0.000098834666,0.0012814362],"category_scores_gemma":[0.000024818037,0.000067080706,0.000028122908,0.00028658097,0.00030353913,0.00017501554,0.00038381075,0.0002238616,0.0010785818],"study_design_candidate":"bench_or_experimental","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":[0.0021117597,0.0009521133,0.59400785,0.00013831744,0.00004359262,0.000271922,0.17278321,0.017134747,0.2067678,0.0000063187654,0.0023015006,0.0034808493],"study_design_scores_gemma":[0.001745703,0.0007819906,0.037686538,0.00007480632,0.000008395792,0.00000432503,0.0014488439,0.00043928894,0.9116338,0.0018932257,0.04398688,0.0002962051],"about_ca_topic_score_codex":0.002353175,"about_ca_topic_score_gemma":0.0004353949,"teacher_disagreement_score":0.704866,"about_ca_system_score_codex":0.00008943597,"about_ca_system_score_gemma":0.0000068412896,"threshold_uncertainty_score":0.9996992},"labels":[],"label_agreement":null},{"id":"W2130527400","doi":"10.1029/2006wr005274","title":"Hydrodynamics of a forced riffle pool in a gravel bed river: 2. Scale and structure of coherent turbulent events","year":2007,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Sediment Transport Processes","field":"Environmental Science","cited_by":70,"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 Montréal","funders":"","keywords":"Turbulence; Riffle; Turbulence kinetic energy; Mechanics; Flow (mathematics); Scaling; Geology; Physics; Geometry; Mathematics","score_opus":0.013259060636637504,"score_gpt":0.273445688706595,"score_spread":0.2601866280699575,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2130527400","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9990944,0.000058853482,0.00003616748,0.00009029484,0.000010103206,0.00031372262,0.000011317253,0.0000060504894,0.0003790461],"genre_scores_gemma":[0.99954677,0.000024016332,0.00012534563,0.0000134277825,0.000007310184,0.00000450304,0.00001504248,0.0000098264,0.00025377216],"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9983091,0.000088943896,0.00031656606,0.0002839021,0.0005303334,0.00047119628],"domain_scores_gemma":[0.999604,0.00005338466,0.00004193619,0.00018292668,0.000020526053,0.00009723972],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008287415,0.00010826398,0.00020607578,0.0001641496,0.00007305793,0.000004730428,0.00027738936,0.00012472893,0.00050760794],"category_scores_gemma":[0.000010870501,0.00007643966,0.00003209872,0.00024265677,0.0006293505,0.00007346497,0.00016756175,0.00027580938,0.000008934558],"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":[0.000529287,0.00018760315,0.7048199,0.00013523488,0.000021771608,0.000022878567,0.017730435,0.0017278465,0.2736835,0.000010394703,0.000014090759,0.0011170284],"study_design_scores_gemma":[0.0020142929,0.0005442568,0.4906167,0.000096758195,0.00001708956,0.000015228484,0.000561827,0.0045146816,0.49609813,0.0036832208,0.0015929369,0.000244855],"about_ca_topic_score_codex":0.0015234317,"about_ca_topic_score_gemma":0.0021392452,"teacher_disagreement_score":0.22241466,"about_ca_system_score_codex":0.000049298516,"about_ca_system_score_gemma":0.000005176487,"threshold_uncertainty_score":0.5557951},"labels":[],"label_agreement":null},{"id":"W2130746770","doi":"10.1029/2006wr005804","title":"Field observations of soil moisture variability across scales","year":2008,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Soil Moisture and Remote Sensing","field":"Environmental Science","cited_by":640,"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":"National Aeronautics and Space Administration","keywords":"Water content; Standard deviation; Environmental science; Skewness; Moisture; Soil science; Coefficient of variation; Scale (ratio); Hydrology (agriculture); Atmospheric sciences; Mathematics; Geology; Geography; Statistics; Meteorology; Geotechnical engineering; Cartography","score_opus":0.0621658750481863,"score_gpt":0.3174260985638305,"score_spread":0.25526022351564426,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2130746770","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9691107,0.00002195647,0.00003482158,0.0011564924,0.000043422224,0.00014079658,0.0000021231256,0.000025343053,0.02946433],"genre_scores_gemma":[0.9960911,0.000016638933,0.00040984925,0.000098857075,0.000085403,0.000002401045,0.0000055523547,0.0000114361665,0.003278714],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99790895,0.0002813744,0.00021939146,0.0003176295,0.0007567973,0.0005158584],"domain_scores_gemma":[0.9990886,0.00027325956,0.000023948347,0.00046426975,0.00004922719,0.0001007287],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011486119,0.00009840688,0.00015138213,0.000034229422,0.00054872903,0.000025186677,0.0003487443,0.0001290309,0.00016911926],"category_scores_gemma":[0.0002224253,0.000062593484,0.00007116112,0.00030900066,0.0008263395,0.000095315714,0.00052175415,0.00037757456,0.00017024722],"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":[0.000089689674,0.0001744561,0.8597394,0.000036253594,0.00001891383,0.000039861163,0.02592183,0.0006307169,0.09970922,0.000008869392,0.0052044396,0.008426319],"study_design_scores_gemma":[0.00016594982,0.00009740289,0.88440776,0.00001381033,0.0000022383063,0.000019566525,0.0004197917,0.00026944609,0.07636433,0.0006179143,0.037507005,0.000114775336],"about_ca_topic_score_codex":0.008331955,"about_ca_topic_score_gemma":0.0037417796,"teacher_disagreement_score":0.032302566,"about_ca_system_score_codex":0.00006609092,"about_ca_system_score_gemma":0.0000059690055,"threshold_uncertainty_score":0.99827164},"labels":[],"label_agreement":null},{"id":"W2131059183","doi":"10.1002/wrcr.20249","title":"Toward a formal definition of water scarcity in natural‐human systems","year":2013,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Water resources management and optimization","field":"Engineering","cited_by":94,"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":"National Oceanic and Atmospheric Administration; National Science Foundation","keywords":"Scarcity; Water scarcity; Natural resource economics; Natural resource; Anthropocentrism; Water resources; Multitude; Economics; Environmental resource management; Ecology; Microeconomics; Political science; Biology; Law","score_opus":0.05148300165080431,"score_gpt":0.257185123010765,"score_spread":0.20570212135996072,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2131059183","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9838653,0.0001495818,0.00011486748,0.00008549561,0.00008199626,0.00065047137,0.0000020398106,0.00011230401,0.01493795],"genre_scores_gemma":[0.99867636,0.000018791145,0.00010404908,0.000005095686,0.00007933067,0.00015433607,0.000092488226,0.000039284998,0.0008302933],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9977823,0.00016015815,0.0003989248,0.00021568434,0.0005839216,0.000859027],"domain_scores_gemma":[0.99948794,0.000022460077,0.000014211891,0.00026792823,0.00013223937,0.00007522842],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008207332,0.00015995602,0.00022373753,0.00072750193,0.00010985779,0.00022839518,0.000359871,0.000099888275,0.000223986],"category_scores_gemma":[0.000007408814,0.00010106989,0.000054434542,0.00022808566,0.000102779675,0.0005032526,0.0002679776,0.0003764711,0.00034422838],"study_design_candidate":"bench_or_experimental","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":[0.0002862029,0.0004958382,0.036804516,0.00940127,0.0004278481,0.00013863486,0.12829831,0.29083383,0.51922816,0.0026442662,0.0062243016,0.005216804],"study_design_scores_gemma":[0.0052510295,0.000641053,0.03611444,0.00094073545,0.0000446259,0.000028042285,0.0063690324,0.53418964,0.3629381,0.0072732666,0.044259906,0.0019501083],"about_ca_topic_score_codex":0.0010548843,"about_ca_topic_score_gemma":0.000032877535,"teacher_disagreement_score":0.24335584,"about_ca_system_score_codex":0.00009148191,"about_ca_system_score_gemma":0.0000014401016,"threshold_uncertainty_score":0.4424474},"labels":[],"label_agreement":null},{"id":"W2131088932","doi":"10.1029/2004wr003190","title":"A general power equation for predicting bed load transport rates in gravel bed rivers","year":2004,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Sediment Transport Processes","field":"Environmental Science","cited_by":249,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Boise Cascade (Canada)","funders":"","keywords":"Bed load; Power function; Sediment transport; Stream power; Sediment; Watershed; Hydrology (agriculture); Environmental science; Channel (broadcasting); Exponent; Geotechnical engineering; Calibration; Soil science; Geology; Mathematics; Statistics; Computer science; Geomorphology; Mathematical analysis","score_opus":0.03765399735500252,"score_gpt":0.29950233376002383,"score_spread":0.2618483364050213,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2131088932","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99581033,0.000036976995,0.0004975044,0.000981368,0.000032722302,0.00055316696,0.000009719116,0.000034836154,0.0020433476],"genre_scores_gemma":[0.998427,0.000012762801,0.0005591189,0.000098328135,0.00003540641,0.0001294205,0.000054701275,0.000017745026,0.00066555303],"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99781555,0.0000763402,0.00026770704,0.0004365946,0.0006773108,0.0007265153],"domain_scores_gemma":[0.9996277,0.00005443599,0.000022215441,0.00016007651,0.000029938832,0.00010561513],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015175034,0.00013205694,0.00015357045,0.0001261921,0.00028487694,0.00002523315,0.00031575278,0.00013324477,0.00088220305],"category_scores_gemma":[0.000030338815,0.00010021193,0.00005566599,0.0002672068,0.00035340057,0.00022534994,0.00004715319,0.00028812292,0.00014580354],"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":[0.0013124485,0.00048339588,0.732198,0.00009543037,0.000054471693,0.0001257555,0.07311879,0.065711975,0.12542528,0.00010168947,0.00011884557,0.001253926],"study_design_scores_gemma":[0.012896732,0.0020303437,0.24473947,0.00014901842,0.000053471944,0.000016830174,0.0017469964,0.006077684,0.64595604,0.023298565,0.061887987,0.0011468534],"about_ca_topic_score_codex":0.0020892683,"about_ca_topic_score_gemma":0.0010972408,"teacher_disagreement_score":0.52053076,"about_ca_system_score_codex":0.0002488847,"about_ca_system_score_gemma":0.00002942838,"threshold_uncertainty_score":0.9659504},"labels":[],"label_agreement":null},{"id":"W2131494945","doi":"10.1029/2008wr007346","title":"Translation and dispersion of sediment pulses in flume experiments simulating gravel augmentation below dams","year":2009,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Sediment Transport Processes","field":"Environmental Science","cited_by":127,"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":"National Science Foundation","keywords":"Flume; Sediment; Geology; Dispersion (optics); Sediment transport; Grain size; Bed load; Magnitude (astronomy); Geotechnical engineering; Soil science; Geomorphology; Flow (mathematics); Hydrology (agriculture); Mechanics","score_opus":0.04728162692299451,"score_gpt":0.33763540336328557,"score_spread":0.29035377644029103,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2131494945","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99738634,0.0001987891,0.000057739173,0.00040945527,0.000010897194,0.00026714755,0.0000013965864,0.000010664381,0.0016575737],"genre_scores_gemma":[0.9994891,0.000040119357,0.00021857794,0.000039386094,0.000011124046,0.00001103391,0.000024913668,0.0000060824414,0.0001596494],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99848634,0.00012482432,0.00024548802,0.00028197872,0.00053090474,0.0003304798],"domain_scores_gemma":[0.9997524,0.00004474907,0.000023281584,0.00010644652,0.0000093790195,0.000063715044],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006844928,0.00009352042,0.0001261667,0.00012344657,0.00015052618,0.000019246261,0.00012871249,0.00007055797,0.0005604609],"category_scores_gemma":[0.0000072200382,0.000070489106,0.000020158608,0.00018755453,0.00018667766,0.00022231722,0.00003977724,0.0001507685,0.00002276995],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00038626228,0.00034968648,0.24223037,0.000052249314,0.000011096713,0.000015347297,0.05101426,0.010620556,0.62736523,0.000007700158,0.00001729483,0.06792993],"study_design_scores_gemma":[0.0028255244,0.0010762018,0.27235392,0.000137575,0.0000149184325,0.000003459575,0.0019156844,0.031861406,0.68455863,0.001363184,0.00354065,0.00034882367],"about_ca_topic_score_codex":0.00032527765,"about_ca_topic_score_gemma":0.00005577447,"teacher_disagreement_score":0.06758111,"about_ca_system_score_codex":0.00004884351,"about_ca_system_score_gemma":0.0000024938147,"threshold_uncertainty_score":0.6136654},"labels":[],"label_agreement":null},{"id":"W2133078234","doi":"10.1002/2015wr017167","title":"The impact of immobile zones on the transport and retention of nanoparticles in porous media","year":2015,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Groundwater flow and contamination studies","field":"Environmental Science","cited_by":42,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Argonne National Laboratory; Natural Sciences and Engineering Research Council of Canada; U.S. Department of Energy; Office of Science; National Science Foundation","keywords":"Nanoparticle; Porous medium; Grain size; Materials science; Quartz; Porosity; Filtration (mathematics); Mineralogy; Chemical engineering; Chemistry; Composite material; Nanotechnology","score_opus":0.06345156939358146,"score_gpt":0.30832622549845246,"score_spread":0.244874656104871,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2133078234","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9985375,0.00010233748,0.0000020401123,0.00045784947,0.000010025888,0.00016295706,0.0000026073758,0.000002914644,0.00072180957],"genre_scores_gemma":[0.99927586,0.000027545857,0.0000031815077,0.0000026425032,0.0000070749375,0.000025687672,0.0000012030464,0.0000041257967,0.0006526945],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987517,0.00022793948,0.00017084724,0.000115707044,0.00051532243,0.00021848876],"domain_scores_gemma":[0.99957615,0.00017264282,0.000022759677,0.00016011995,0.000030104104,0.000038215625],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017194601,0.00005426789,0.000089113615,0.000040783278,0.00011106496,0.000016481552,0.00017938821,0.000021487804,0.000051755866],"category_scores_gemma":[0.00004850595,0.000021138763,0.000027586671,0.0001481149,0.0005870904,0.0000553593,0.000109517234,0.00009195293,0.000020477406],"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":[0.00053991406,0.00020270143,0.702374,0.000015265683,0.00003995681,0.000010396021,0.089410335,0.00041378205,0.18219395,0.00012756375,0.000597549,0.024074612],"study_design_scores_gemma":[0.00035366399,0.00039787707,0.92923146,0.000017883296,0.0000029986763,0.0000019001963,0.005682716,0.00017190709,0.061088927,0.0008741377,0.0021222814,0.00005422554],"about_ca_topic_score_codex":0.00312415,"about_ca_topic_score_gemma":0.0007088526,"teacher_disagreement_score":0.22685751,"about_ca_system_score_codex":0.000044306264,"about_ca_system_score_gemma":0.000003999508,"threshold_uncertainty_score":0.4722801},"labels":[],"label_agreement":null},{"id":"W2133738408","doi":"10.1029/2011wr011207","title":"Integrating different types of information into hydrological model parameter estimation: Application to ungauged catchments and land use scenario analysis","year":2012,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":40,"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":"Engineering and Physical Sciences Research Council; Natural Environment Research Council; Sight Research UK","keywords":"Flood myth; Drainage basin; Environmental science; Scale (ratio); Land use, land-use change and forestry; Hydrology (agriculture); Hydrological modelling; Land use; Bayesian probability; Conceptual model; Computer science; Bayesian inference; Identification (biology); Flow (mathematics); Geography; Geology; Mathematics; Cartography; Climatology; Civil engineering","score_opus":0.03179609072136406,"score_gpt":0.3037190865102524,"score_spread":0.27192299578888834,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2133738408","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9770889,0.00000859048,0.021751696,0.0004955669,0.0000066517377,0.0002833829,0.000001923802,0.000013605549,0.00034966605],"genre_scores_gemma":[0.9968669,0.000006849274,0.0027468123,0.00009412177,0.000007459707,0.000078048244,0.000031804688,0.0000032835942,0.00016471588],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99883133,0.00013803733,0.00020568185,0.00016040969,0.00034486005,0.0003196979],"domain_scores_gemma":[0.99959195,0.00008281529,0.00003340894,0.00017949111,0.000017276305,0.00009507228],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007563777,0.000092543305,0.00015730101,0.00020255863,0.00022452272,0.000049953924,0.00014470583,0.00005775038,0.000054758035],"category_scores_gemma":[0.00007500557,0.00005475325,0.000028545319,0.00026156477,0.0001895382,0.00041106495,0.00057077035,0.00013457824,0.00011083618],"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":[0.00007352908,0.000059327336,0.89924604,0.00001810992,0.000098444434,1.6316302e-7,0.017868519,0.078413345,0.0010093861,0.000039989136,0.000079924066,0.003093216],"study_design_scores_gemma":[0.0002593604,0.00014191182,0.3448255,0.000008457405,0.00011352793,5.038129e-7,0.00022222353,0.6470622,0.0034956809,0.0015272091,0.002172247,0.00017118696],"about_ca_topic_score_codex":0.0010064817,"about_ca_topic_score_gemma":0.00016074331,"teacher_disagreement_score":0.5686489,"about_ca_system_score_codex":0.000059968894,"about_ca_system_score_gemma":6.909681e-7,"threshold_uncertainty_score":0.22327729},"labels":[],"label_agreement":null},{"id":"W2133884359","doi":"10.1029/2009wr008196","title":"Relationship between soil moisture and vegetation in the Kairouan plain region of Tunisia using low spatial resolution satellite data","year":2010,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Soil Moisture and Remote Sensing","field":"Environmental Science","cited_by":39,"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":"Agence Universitaire de la Francophonie","keywords":"Scatterometer; Normalized Difference Vegetation Index; Environmental science; Water content; Vegetation (pathology); Satellite; Radiometer; Moisture; Wet season; Advanced very-high-resolution radiometer; Remote sensing; Hydrology (agriculture); Climatology; Meteorology; Geography; Geology; Climate change","score_opus":0.10043503697693895,"score_gpt":0.3289877822752489,"score_spread":0.22855274529830993,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2133884359","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9959601,0.00006773598,0.00011580538,0.0007291257,0.000033963297,0.0002470361,0.0000014826599,0.0000088311635,0.0028358758],"genre_scores_gemma":[0.9993074,0.000008864715,0.00035895692,0.000018498064,0.00016690676,8.0839646e-7,0.000057010162,0.000012876876,0.000068711444],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9977224,0.0006504901,0.00024375338,0.00035830252,0.0006868129,0.0003382272],"domain_scores_gemma":[0.99886566,0.00036839055,0.000051011113,0.00063990377,0.000018500352,0.00005654368],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025801838,0.000099625395,0.00011936092,0.00013979449,0.00032809714,0.00008030592,0.00045265572,0.00016002127,0.0000040100767],"category_scores_gemma":[0.00020563006,0.000060457063,0.000019422178,0.00031325367,0.00057455525,0.00020896623,0.00041933282,0.00076622603,0.000016017359],"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":[0.000045472,0.00002585613,0.95501673,0.00003750147,0.000003471447,0.000019027533,0.012846092,0.00030503227,0.017697189,0.000015765218,0.00004376091,0.013944112],"study_design_scores_gemma":[0.00020192815,0.000029561723,0.98961794,0.000041069456,0.000008122345,0.000021557044,0.0004396512,0.004348123,0.0014645439,0.00089019985,0.0028543628,0.00008295689],"about_ca_topic_score_codex":0.014478085,"about_ca_topic_score_gemma":0.026898341,"teacher_disagreement_score":0.034601204,"about_ca_system_score_codex":0.000047122092,"about_ca_system_score_gemma":0.000007774174,"threshold_uncertainty_score":0.99208456},"labels":[],"label_agreement":null},{"id":"W2134002412","doi":"10.1029/2003wr002331","title":"How does rainfall become runoff? A combined tracer and runoff transfer function approach","year":2003,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":254,"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 British Columbia","funders":"","keywords":"Hydrograph; Surface runoff; TRACER; Runoff model; Environmental science; Hydrology (agriculture); Streamflow; Geology; Drainage basin; Geography","score_opus":0.02595655209228955,"score_gpt":0.2448207418409998,"score_spread":0.21886418974871025,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2134002412","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9630422,0.00008191124,0.0004568627,0.003079124,0.000066373475,0.00053210044,0.0000023560651,0.000055205168,0.032683853],"genre_scores_gemma":[0.9671681,0.000057142166,0.00010052965,0.0001662466,0.000032590615,0.00012239662,0.000009242634,0.000021874397,0.032321878],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99738324,0.0005045583,0.00015934999,0.0005708868,0.00057077187,0.0008111868],"domain_scores_gemma":[0.9994886,0.000059093512,0.0000100730485,0.00029240464,0.000014500629,0.00013533856],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016354185,0.00019584672,0.0002165334,0.00015010695,0.0007238525,0.00017888349,0.000236605,0.00012287399,0.0008494972],"category_scores_gemma":[0.000028984237,0.00011069977,0.00005554718,0.00020892954,0.0008318805,0.00026171355,0.00026219428,0.00038139298,0.00020559598],"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":[0.0036215645,0.0025763838,0.70539045,0.00087002874,0.0014549353,0.00022273256,0.14194486,0.0017892502,0.09590037,0.0065163705,0.025013218,0.014699845],"study_design_scores_gemma":[0.0024302555,0.00066391286,0.03891342,0.00001182447,0.000054304055,0.000010361341,0.0030456968,0.0005456387,0.006809099,0.0061980095,0.94079775,0.0005197409],"about_ca_topic_score_codex":0.0001621214,"about_ca_topic_score_gemma":0.000087025845,"teacher_disagreement_score":0.91578454,"about_ca_system_score_codex":0.000054135522,"about_ca_system_score_gemma":0.0000017666637,"threshold_uncertainty_score":0.9301399},"labels":[],"label_agreement":null},{"id":"W2134208072","doi":"10.1029/2004wr003219","title":"Speciation and transport of newly deposited mercury in a boreal forest wetland: A stable mercury isotope approach","year":2005,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Mercury impact and mitigation studies","field":"Environmental Science","cited_by":81,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Island Health; Trent University; University of Toronto","funders":"U.S. Geological Survey; University of Alberta","keywords":"Mercury (programming language); Methylmercury; Environmental chemistry; Wetland; Peat; Groundwater; Environmental science; Water table; Boreal; Stable isotope ratio; Taiga; Hydrology (agriculture); Aquatic ecosystem; Isotope; Chemistry; Ecology; Geology; Bioaccumulation","score_opus":0.032019014235386084,"score_gpt":0.2866554860245773,"score_spread":0.25463647178919124,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2134208072","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96919584,0.00017157955,0.00006338487,0.00048994116,0.000008127826,0.00039919934,0.000009612357,0.000014526814,0.029647779],"genre_scores_gemma":[0.9978053,0.00015630027,0.0005821205,0.000036125955,0.00005420483,0.000044365002,0.00003690398,0.000014907335,0.0012697502],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99792683,0.00017719607,0.00032971115,0.0003144974,0.000719114,0.0005326659],"domain_scores_gemma":[0.99954754,0.00005533088,0.000037901944,0.00020122174,0.000025552694,0.00013242828],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011092143,0.0001305964,0.0002272522,0.00020427919,0.0001523362,0.000033516462,0.00019252673,0.000077943216,0.00027434406],"category_scores_gemma":[0.000024136847,0.00009212761,0.000036138455,0.00038795112,0.00032615525,0.0002744921,0.0001520749,0.00024675624,0.000052237934],"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":[0.00016219572,0.00016786248,0.94226795,0.00004989134,0.000019680181,0.000006617248,0.024858208,0.0005330037,0.025001531,0.000022331586,0.00064062147,0.0062701204],"study_design_scores_gemma":[0.000872723,0.00012560202,0.9326074,0.00002825152,0.000010130268,0.000009547902,0.0012063973,0.001799698,0.01920819,0.000118341995,0.043831572,0.00018210588],"about_ca_topic_score_codex":0.008026815,"about_ca_topic_score_gemma":0.0054553063,"teacher_disagreement_score":0.04319095,"about_ca_system_score_codex":0.000103083985,"about_ca_system_score_gemma":0.000007593674,"threshold_uncertainty_score":0.99857885},"labels":[],"label_agreement":null},{"id":"W2135191259","doi":"10.1029/2008wr007045","title":"An assessment of corrections for eddy covariance measured turbulent fluxes over snow in mountain environments","year":2009,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":76,"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":"","keywords":"Eddy covariance; Snowmelt; Snow; Environmental science; Sensible heat; Latent heat; Flux (metallurgy); Covariance; Terrain; Meteorology; Climatology; Atmospheric sciences; Geology; Geography; Statistics; Mathematics; Ecosystem","score_opus":0.059664832828277316,"score_gpt":0.3493184050792972,"score_spread":0.28965357225101984,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2135191259","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99697465,0.00020739221,0.0011421669,0.0006218039,0.00006777327,0.0005051082,0.000047528883,0.000010578204,0.0004229912],"genre_scores_gemma":[0.9967122,0.0000747365,0.0021661343,0.00007979904,0.00007773441,0.0000171002,0.00010827178,0.0000037604016,0.00076024374],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99825984,0.00017945952,0.0002466814,0.00027967533,0.0005780838,0.00045625068],"domain_scores_gemma":[0.9994164,0.0001662548,0.00003210125,0.0002479471,0.000050725437,0.00008658263],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010570425,0.00009839218,0.00017006983,0.00009322108,0.00030304946,0.000061332445,0.00025703578,0.000052933647,0.00067108474],"category_scores_gemma":[0.000041992094,0.000070317554,0.00004380648,0.00024647734,0.000103921084,0.00013304446,0.0000146875445,0.00017702821,0.000012584685],"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":[0.00020682263,0.0004009279,0.8625272,0.000024735864,0.00004068022,0.000008938731,0.00432227,0.10486696,0.0040101116,0.000070904505,0.00094732404,0.022573147],"study_design_scores_gemma":[0.00040659643,0.0005239369,0.9135457,0.000018364708,0.0000040944187,6.9646035e-7,0.000708432,0.038981013,0.00045800864,0.00042767546,0.044832014,0.00009343106],"about_ca_topic_score_codex":0.0031626862,"about_ca_topic_score_gemma":0.0025323555,"teacher_disagreement_score":0.065885946,"about_ca_system_score_codex":0.00003227667,"about_ca_system_score_gemma":0.000020161699,"threshold_uncertainty_score":0.73479074},"labels":[],"label_agreement":null},{"id":"W2135285641","doi":"10.1029/2004wr003732","title":"Dynamics of biogenic gas bubbles in peat: Potential effects on water storage and peat deformation","year":2005,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Peatlands and Wetlands Ecology","field":"Environmental Science","cited_by":95,"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; McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Peat; Water table; Piezometer; Buoyancy; Soil water; Hydrology (agriculture); Environmental science; Diel vertical migration; Geology; Volume (thermodynamics); Pore water pressure; Soil science; Water content; Groundwater; Aquifer; Geotechnical engineering; Mechanics; Ecology","score_opus":0.009930244986242585,"score_gpt":0.2503963845199134,"score_spread":0.24046613953367083,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2135285641","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.996253,0.000027502945,0.00001558737,0.0012578395,0.000018901817,0.00022665065,0.000004060935,0.000010449887,0.0021859712],"genre_scores_gemma":[0.9990523,0.000041476484,0.00003669417,0.00003123286,0.000052791842,0.000018671082,0.000057302528,0.0000111188765,0.00069844315],"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99835396,0.0002489092,0.00019507263,0.00025742647,0.00041844734,0.0005261665],"domain_scores_gemma":[0.9996494,0.000047679445,0.00001719254,0.00018983238,0.000010122035,0.000085784],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009042321,0.00010792273,0.00015441714,0.00021816757,0.00013393695,0.00004095349,0.00020459318,0.000096085525,0.00036180572],"category_scores_gemma":[0.000010240539,0.000061905215,0.00003348737,0.000101650185,0.00020466677,0.00013671903,0.00036441008,0.00021739659,0.00026968084],"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":[0.0013990505,0.0006717716,0.47441813,0.00033690193,0.0000608534,0.0002289371,0.03167772,0.018150667,0.4028201,0.00008168968,0.0010187792,0.06913538],"study_design_scores_gemma":[0.005164065,0.0026409794,0.41566497,0.0001350819,0.000026709715,0.000111997426,0.0009658736,0.11567542,0.4324046,0.002275914,0.024164759,0.00076962815],"about_ca_topic_score_codex":0.00079193985,"about_ca_topic_score_gemma":0.0017808758,"teacher_disagreement_score":0.097524755,"about_ca_system_score_codex":0.00019000846,"about_ca_system_score_gemma":0.0000021481774,"threshold_uncertainty_score":0.39615187},"labels":[],"label_agreement":null},{"id":"W2135546836","doi":"10.1029/2005wr004560","title":"Beaver dams and overbank floods influence groundwater–surface water interactions of a Rocky Mountain riparian area","year":2006,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Ecology and biodiversity studies","field":"Environmental Science","cited_by":290,"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":"U.S. Geological Survey","keywords":"Beaver; Overbank; Hydrology (agriculture); Riparian zone; Water table; Environmental science; Surface runoff; Floodplain; Wetland; Surface water; Alluvial fan; Groundwater; Flood myth; Groundwater recharge; Aquifer; Geology; Ecology; Habitat; Geography; Fluvial; Geomorphology","score_opus":0.02517071849791572,"score_gpt":0.27889091208909483,"score_spread":0.2537201935911791,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2135546836","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99294364,0.000033324857,0.0000073117853,0.0009893577,0.000030955875,0.00020302083,0.000010873895,0.00002167393,0.0057598236],"genre_scores_gemma":[0.9898032,0.00001595633,0.0001092051,0.00005383156,0.000026448062,0.000009664864,0.000015957656,0.000007657026,0.00995811],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9981205,0.00020240383,0.00021259765,0.00038740796,0.00044658675,0.0006304945],"domain_scores_gemma":[0.99953765,0.0000825075,0.000024774468,0.00024166526,0.000037750335,0.00007568454],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00067323586,0.00014223672,0.00018778845,0.0000870709,0.0006689621,0.00007368359,0.00031440967,0.00009286656,0.0010234716],"category_scores_gemma":[0.000016762813,0.00008615273,0.00004231358,0.00013523837,0.000988778,0.00030860087,0.0013269205,0.00032300374,0.0006021048],"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":[0.000119838805,0.00018547973,0.88299114,0.000025915138,0.000039253453,0.000028603743,0.0073070354,0.0012260111,0.105002776,0.000009508815,0.002958812,0.000105603394],"study_design_scores_gemma":[0.0008589209,0.00039531695,0.63517255,0.00003529693,0.000030837113,0.00002863802,0.0017631659,0.0004388446,0.16423354,0.0014572765,0.19521126,0.0003743337],"about_ca_topic_score_codex":0.010239879,"about_ca_topic_score_gemma":0.0021479167,"teacher_disagreement_score":0.24781859,"about_ca_system_score_codex":0.00012598162,"about_ca_system_score_gemma":0.0000023494988,"threshold_uncertainty_score":0.99988973},"labels":[],"label_agreement":null},{"id":"W2135788915","doi":"10.1002/wrcr.20407","title":"The importance of hydraulic groundwater theory in catchment hydrology: The legacy of Wilfried Brutsaert and Jean-Yves Parlange","year":2013,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":156,"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":"Aquifer; Geology; Baseflow; Groundwater; Richards equation; Groundwater flow; Groundwater flow equation; Water table; Hydrology (agriculture); Streamflow; Geotechnical engineering; Soil science; Drainage basin; Soil water; Geography","score_opus":0.021650185633742308,"score_gpt":0.27134815541421237,"score_spread":0.24969796978047007,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2135788915","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98031354,0.0005245223,0.0000029286666,0.012148377,0.000022085138,0.00056450476,5.829028e-7,0.000007904103,0.006415581],"genre_scores_gemma":[0.99512124,0.00028932822,0.000009150715,0.00022513684,0.000017125916,0.00016418942,0.0000017238768,0.000009999789,0.004162082],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99768347,0.000687897,0.00031837405,0.00029288343,0.00042009418,0.0005972986],"domain_scores_gemma":[0.99892,0.0005188987,0.000055037704,0.00044620072,0.000015228424,0.000044639295],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029875569,0.0001272689,0.00019399816,0.000070348935,0.00037452133,0.00004994132,0.0005916663,0.00006253486,0.00044632243],"category_scores_gemma":[0.00006068377,0.00005434569,0.000037041078,0.00016186417,0.0026938696,0.00018809843,0.0011527579,0.0002793192,0.00013990929],"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":[0.00028197104,0.0001696472,0.9489374,0.00005398945,0.00012859725,0.00001502451,0.035174474,0.0003865396,0.0073423106,0.0005466196,0.002600852,0.0043625734],"study_design_scores_gemma":[0.0012772462,0.00069031364,0.7936292,0.000040509476,0.000032822332,0.000006852018,0.00824689,0.0009269288,0.023063354,0.05628646,0.11544547,0.00035391995],"about_ca_topic_score_codex":0.0050387783,"about_ca_topic_score_gemma":0.0013355227,"teacher_disagreement_score":0.15530817,"about_ca_system_score_codex":0.00003314921,"about_ca_system_score_gemma":0.0000021268522,"threshold_uncertainty_score":0.9925675},"labels":[],"label_agreement":null},{"id":"W2135843060","doi":"10.1029/2004wr003657","title":"The role of topography on catchment‐scale water residence time","year":2005,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":765,"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 British Columbia","funders":"","keywords":"Residence time (fluid dynamics); Hydrology (agriculture); Drainage basin; Tributary; Watershed; Residence; Structural basin; Environmental science; Terrain; Scale (ratio); Catchment hydrology; Geology; Geography; Geomorphology; Cartography; Geotechnical engineering","score_opus":0.012652164126275216,"score_gpt":0.2644316640088085,"score_spread":0.2517794998825333,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2135843060","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.90705246,0.000090362,7.72726e-7,0.006947984,0.000016493817,0.00023757626,0.0000012336451,0.000022794222,0.085630335],"genre_scores_gemma":[0.97435814,0.00007011878,0.000033156775,0.0001284668,0.000059703554,0.000051147723,0.0000029348228,0.0000110749415,0.025285251],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.99762726,0.0003044641,0.00020547978,0.0003328312,0.0007463618,0.0007835978],"domain_scores_gemma":[0.9993232,0.00010936721,0.000017716726,0.00046254796,0.000015988317,0.00007121194],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0016743698,0.000119842014,0.00012631394,0.000099704455,0.0008150721,0.000047924896,0.0006681698,0.00005707165,0.0014252283],"category_scores_gemma":[0.000012408674,0.000054027863,0.00006439913,0.00014352388,0.0010928839,0.00010381561,0.0009721349,0.00026245153,0.0067942464],"study_design_candidate":"bench_or_experimental","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":[0.0017242662,0.00088249636,0.27585238,0.00004867969,0.0003270362,0.00004183592,0.100513354,0.006877523,0.4870672,0.00032075652,0.06491672,0.061427746],"study_design_scores_gemma":[0.0001472661,0.00017974594,0.0042533674,0.000008572048,0.0000053685435,7.824302e-7,0.00037158973,0.00017228437,0.35104746,0.0022610459,0.641457,0.00009551231],"about_ca_topic_score_codex":0.00034681466,"about_ca_topic_score_gemma":0.00011812029,"teacher_disagreement_score":0.5765403,"about_ca_system_score_codex":0.000049619535,"about_ca_system_score_gemma":9.259142e-7,"threshold_uncertainty_score":0.9994876},"labels":[],"label_agreement":null},{"id":"W2136535008","doi":"10.1002/2014wr015394","title":"Semianalytical series solutions for three-dimensional groundwater-surface water interaction","year":2014,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Groundwater flow and contamination studies","field":"Environmental Science","cited_by":24,"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":"Ontario Ministry of Research and Innovation","keywords":"Series (stratigraphy); Groundwater; Surface water; Surface (topology); Geology; Hydrology (agriculture); Environmental science; Geotechnical engineering; Mathematics; Geometry; Environmental engineering","score_opus":0.0531452581773734,"score_gpt":0.3072760697391421,"score_spread":0.2541308115617687,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2136535008","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9824288,0.00001219933,0.009514866,0.004975829,0.00015513971,0.00040770584,0.000004787488,0.00006786335,0.0024328448],"genre_scores_gemma":[0.96223867,0.0000012445596,0.00032738893,0.00009333784,0.00015531502,0.00011722898,0.00004847736,0.000026905245,0.036991447],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.99693507,0.0002595015,0.0002934569,0.0005243609,0.00082776335,0.0011598729],"domain_scores_gemma":[0.9992414,0.0001602,0.000018824026,0.00033216574,0.000099244695,0.00014815158],"candidate_categories":["sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.002161032,0.00018895515,0.00020918892,0.0000923198,0.0013268027,0.00023268205,0.0003357362,0.00010031676,0.0017128749],"category_scores_gemma":[0.00004473605,0.00010912218,0.000107892934,0.00012426478,0.0005439386,0.00045358404,0.0009699752,0.00029735328,0.002904764],"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":[0.001992317,0.0013680933,0.04469209,0.00026626236,0.00051270716,0.000036572743,0.03133598,0.027998967,0.7657357,0.0019393546,0.05723396,0.06688801],"study_design_scores_gemma":[0.0005856097,0.00044150095,0.004005388,0.000019517503,0.000021400398,0.000022780305,0.0003752702,0.021627905,0.0550573,0.0024406712,0.9150942,0.00030843777],"about_ca_topic_score_codex":0.00076561054,"about_ca_topic_score_gemma":0.0012404398,"teacher_disagreement_score":0.85786027,"about_ca_system_score_codex":0.00021944007,"about_ca_system_score_gemma":0.000003246083,"threshold_uncertainty_score":0.99997336},"labels":[],"label_agreement":null},{"id":"W2136660930","doi":"10.1029/2000wr900158","title":"An evaluation of the Wyoming Gauge System for snowfall measurement","year":2000,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":60,"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":"Snow; Snowpack; Environmental science; Gauge (firearms); Precipitation; Meteorology; Terrain; Wind speed; Rain gauge; Climatology; Geology; Geography","score_opus":0.19569434792673376,"score_gpt":0.3335976893317554,"score_spread":0.1379033414050216,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2136660930","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9939145,0.0005246779,0.000008322769,0.00030061035,0.00007085565,0.0006480171,0.000028851342,0.000011656114,0.004492543],"genre_scores_gemma":[0.9993938,0.000010202927,0.0000760318,0.000014376948,0.00011791383,0.000021757913,0.000016868058,0.0000031950285,0.00034584128],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99739033,0.00040018436,0.00018162096,0.00017752373,0.0015349181,0.00031544882],"domain_scores_gemma":[0.9990694,0.000073309355,0.000021079475,0.00028302427,0.0005024961,0.0000507172],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0052050967,0.00006118872,0.00009420965,0.000026912794,0.0005639591,0.000056869754,0.0003267081,0.000030597806,0.0014968115],"category_scores_gemma":[0.000056924982,0.00003135806,0.000050405353,0.00018539955,0.00008970249,0.0000663082,0.000013513892,0.00008266364,0.000046590856],"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":[0.00052017596,0.00014523014,0.29864186,0.0004421281,0.00017431348,0.0000014375712,0.027853185,0.06327583,0.005097842,0.000098583565,0.003381872,0.60036755],"study_design_scores_gemma":[0.00087554095,0.00030823244,0.62802035,0.00011112165,0.000053001546,0.0000021597111,0.005384894,0.11992066,0.006519197,0.0004117437,0.23823044,0.00016268544],"about_ca_topic_score_codex":0.0042337836,"about_ca_topic_score_gemma":0.003711405,"teacher_disagreement_score":0.6002049,"about_ca_system_score_codex":0.00002725693,"about_ca_system_score_gemma":0.000029787516,"threshold_uncertainty_score":0.99941593},"labels":[],"label_agreement":null},{"id":"W2136950461","doi":"10.1002/2014wr016698","title":"Reply to comment by Flewelling and Sharma on “Hydraulic fracturing in faulted sedimentary basins: Numerical simulation of potential contamination of shallow aquifers over long time scales”","year":2015,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Groundwater flow and contamination 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":"McGill University; University of Victoria; Institut National de la Recherche Scientifique","funders":"","keywords":"Aquifer; Geology; Hydraulic fracturing; Sedimentary rock; Contamination; Hydrology (agriculture); Sedimentary basin; Geotechnical engineering; Structural basin; Petroleum engineering; Environmental science; Geomorphology; Groundwater; Geochemistry","score_opus":0.027980204759580348,"score_gpt":0.30572998503352306,"score_spread":0.2777497802739427,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2136950461","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9956157,0.000033013413,0.0017100227,0.0019649228,0.000020578967,0.00038406393,0.000009440273,0.000010410749,0.00025179892],"genre_scores_gemma":[0.9987252,0.0000035542907,0.000070273374,0.0005779552,0.000018638717,0.000019878727,0.000033874403,0.000013075856,0.00053758547],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9977151,0.00027779772,0.00034587056,0.0003291957,0.0010133055,0.0003187074],"domain_scores_gemma":[0.99949217,0.00011687905,0.000051398623,0.00016275047,0.000049648075,0.00012712697],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011053934,0.00012157523,0.00020504867,0.00019790456,0.0000904481,0.000037157184,0.00017209492,0.00004949549,0.00020529411],"category_scores_gemma":[0.000039573097,0.00009567963,0.000028875085,0.00018320164,0.00014623108,0.0001907175,0.00035225015,0.0001677153,0.00005837144],"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":[0.0022875802,0.0011464333,0.4621644,0.00012617855,0.00012113804,0.0000570157,0.06686243,0.28044963,0.12545794,0.0000025591632,0.0073748226,0.05394986],"study_design_scores_gemma":[0.0041795517,0.0015083518,0.40166122,0.00022845216,0.000024175532,0.0000034225015,0.0028762482,0.30407438,0.21329208,0.00007805209,0.07156258,0.00051150523],"about_ca_topic_score_codex":0.0019563376,"about_ca_topic_score_gemma":0.000041948846,"teacher_disagreement_score":0.087834135,"about_ca_system_score_codex":0.00024182767,"about_ca_system_score_gemma":0.0000028864958,"threshold_uncertainty_score":0.3901702},"labels":[],"label_agreement":null},{"id":"W2138203931","doi":"10.1002/2015wr017609","title":"Status of CO<sub>2</sub>storage in deep saline aquifers with emphasis on modeling approaches and practical simulations","year":2015,"lang":"en","type":"article","venue":"Water Resources Research","topic":"CO2 Sequestration and Geologic Interactions","field":"Environmental Science","cited_by":443,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Alberta Innovates","funders":"Norges Forskningsråd; Princeton University; U.S. Department of Energy","keywords":"Aquifer; Petroleum engineering; Emphasis (telecommunications); Environmental science; Geology; Hydrology (agriculture); Groundwater; Geotechnical engineering; Engineering; Electrical engineering","score_opus":0.1794888240566984,"score_gpt":0.3746534880921135,"score_spread":0.19516466403541513,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2138203931","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99071324,0.000010388211,0.0005510037,0.000831932,0.000007776908,0.0002116721,0.0000044845515,0.0000124788385,0.0076570357],"genre_scores_gemma":[0.9993234,0.000009919816,0.00046538157,0.00002892494,0.000015501002,0.000017367549,0.00001928495,0.0000086122645,0.0001115756],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998358,0.00027075087,0.00018048138,0.00025409737,0.0005553885,0.00038128233],"domain_scores_gemma":[0.9994482,0.00014499908,0.000022416923,0.0001709229,0.000034547476,0.00017894377],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006544881,0.00008373779,0.000106749016,0.00015457143,0.00010548322,0.00004834258,0.00006641646,0.000056628636,0.00012847177],"category_scores_gemma":[0.00017207903,0.000055686203,0.0000138005535,0.00020913115,0.0002926952,0.00017821502,0.00010464394,0.00030083666,0.00006061659],"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":[0.0006156388,0.00031761016,0.02841831,0.000009860529,0.00001294261,0.000035555477,0.013651509,0.94344497,0.011376736,0.00006671056,0.000102446975,0.0019477316],"study_design_scores_gemma":[0.0011393407,0.0008661975,0.0043678437,0.00002824201,0.0000084088,0.000028723576,0.006671531,0.95425105,0.023857297,0.00082915515,0.007730135,0.00022206626],"about_ca_topic_score_codex":0.0007221763,"about_ca_topic_score_gemma":0.0014821395,"teacher_disagreement_score":0.024050467,"about_ca_system_score_codex":0.0001523415,"about_ca_system_score_gemma":0.000019477664,"threshold_uncertainty_score":0.22708175},"labels":[],"label_agreement":null},{"id":"W2138305279","doi":"10.1002/2012wr012885","title":"The spatial scale of model errors and assimilated retrievals in a terrestrial water storage assimilation system","year":2013,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Environmental science; Data assimilation; Surface runoff; Scale (ratio); Drainage basin; Snow; Spatial ecology; Hydrology (agriculture); Meteorology; Climatology; Geology; Geography","score_opus":0.0335892516977605,"score_gpt":0.2799102087439676,"score_spread":0.2463209570462071,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2138305279","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9929396,0.00001773379,0.00007392302,0.001992886,0.000045609235,0.0006508134,0.0000015933757,0.000020664082,0.0042571807],"genre_scores_gemma":[0.99813026,0.00001751342,0.00003097692,0.00001618461,0.000027104143,0.00008070702,0.0000055515275,0.000012002634,0.0016796709],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99765736,0.0004977643,0.00032414575,0.0003199899,0.00058809033,0.0006126237],"domain_scores_gemma":[0.9995287,0.00009142192,0.0000331777,0.00026660337,0.000013496042,0.000066597495],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022624882,0.0001219383,0.00018344594,0.00012617197,0.00046380147,0.000075798365,0.000301967,0.00010775317,0.00013187279],"category_scores_gemma":[0.000034325047,0.00005832342,0.000030615534,0.00013560287,0.0007220737,0.0001789179,0.0007848298,0.00028031348,0.00018551857],"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":[0.0025242588,0.00036767678,0.5856091,0.00026729857,0.00022766332,0.00006898133,0.09641734,0.0984106,0.19635248,0.00002917685,0.009304761,0.010420667],"study_design_scores_gemma":[0.0024479332,0.00040271346,0.15377288,0.00009369715,0.000028242335,0.000004267801,0.002811661,0.7718857,0.057299204,0.0018753668,0.00894904,0.0004293282],"about_ca_topic_score_codex":0.0028518778,"about_ca_topic_score_gemma":0.00052327564,"teacher_disagreement_score":0.6734751,"about_ca_system_score_codex":0.00010603717,"about_ca_system_score_gemma":0.0000023509594,"threshold_uncertainty_score":0.4311205},"labels":[],"label_agreement":null},{"id":"W2138561153","doi":"10.1029/2006wr005187","title":"Data management of river water quality data: A semi‐automatic procedure for data validation","year":2007,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Fault Detection and Control Systems","field":"Engineering","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":"Université Laval","funders":"","keywords":"Univariate; Outlier; Multivariate statistics; Data mining; Anomaly detection; Data quality; Computer science; Statistics; Mathematics; Artificial intelligence; Engineering","score_opus":0.1623059939891597,"score_gpt":0.4017803215990002,"score_spread":0.23947432760984047,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2138561153","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97996,0.0002785566,0.013398572,0.00026554515,0.00025252244,0.0020057573,0.0011143658,0.00030252952,0.002422102],"genre_scores_gemma":[0.99272525,0.000022359682,0.0008115029,0.000008883842,0.00018931534,0.00005116369,0.00435562,0.000044746823,0.0017911455],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.9972432,0.00015446941,0.00055714435,0.000587454,0.00081669964,0.00064101577],"domain_scores_gemma":[0.9961552,0.000110119196,0.000028710565,0.0035082933,0.00010333207,0.00009437085],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008105887,0.00014494947,0.00024000285,0.00021622605,0.00013835925,0.00012437346,0.002576925,0.000094639574,0.000064359905],"category_scores_gemma":[0.00005769851,0.00009412924,0.000023795494,0.00017652428,0.000083295534,0.00050484063,0.0018852353,0.00021101217,0.00011414705],"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":[0.0020516464,0.0011062525,0.003832384,0.06099808,0.0052677877,0.00017435513,0.038098104,0.0072852024,0.41946235,0.00025712725,0.17887284,0.28259388],"study_design_scores_gemma":[0.0010571227,0.000045688084,0.0005136424,0.00015704948,0.000040664065,0.000006137866,0.0012579875,0.41069666,0.033454973,0.000077092445,0.5524626,0.00023039333],"about_ca_topic_score_codex":0.0002295326,"about_ca_topic_score_gemma":0.00012119782,"teacher_disagreement_score":0.40341145,"about_ca_system_score_codex":0.000054181994,"about_ca_system_score_gemma":0.000005793914,"threshold_uncertainty_score":0.4788611},"labels":[],"label_agreement":null},{"id":"W2139441656","doi":"10.1029/2004wr003725","title":"Storage‐dependent drainable porosity for complex hillslopes","year":2005,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Groundwater flow and contamination studies","field":"Environmental Science","cited_by":75,"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":"Water table; Hydraulic conductivity; Aquifer; Hydrograph; Outflow; Richards equation; Geology; Groundwater; Soil science; Surface runoff; Drainage; Hydrology (agriculture); Geotechnical engineering; Soil water","score_opus":0.062203322445659286,"score_gpt":0.3205751938031305,"score_spread":0.2583718713574712,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2139441656","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9821484,0.000060283714,0.0026485624,0.003729179,0.000033657983,0.00053103006,0.000012765164,0.000052245774,0.010783837],"genre_scores_gemma":[0.8863761,0.000006260706,0.0010244144,0.00018187167,0.00010893839,0.00014616664,0.000019027386,0.00001644002,0.112120815],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.99769074,0.00015640407,0.0001939816,0.00040338957,0.00080077123,0.00075470406],"domain_scores_gemma":[0.9994366,0.00008171625,0.000019714673,0.00028568305,0.00005866158,0.00011762074],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0014035265,0.00012725158,0.00015478923,0.00008602871,0.00087384373,0.00016445969,0.00044281254,0.000052245265,0.0024762973],"category_scores_gemma":[0.000029753577,0.000087236825,0.000059305745,0.00012586272,0.0003101473,0.0001784034,0.0007157854,0.00016606181,0.0017688716],"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":[0.00058281043,0.0007910008,0.036554895,0.00013269944,0.00017654532,0.000046949408,0.060306463,0.005301951,0.5117437,0.0005059989,0.13977645,0.24408051],"study_design_scores_gemma":[0.0004587188,0.00012839343,0.021011418,0.0000038913868,0.0000049741384,0.000003514735,0.0006570745,0.0013078284,0.018207127,0.00017401378,0.9578936,0.00014944376],"about_ca_topic_score_codex":0.00070078217,"about_ca_topic_score_gemma":0.00045840102,"teacher_disagreement_score":0.81811714,"about_ca_system_score_codex":0.00029196765,"about_ca_system_score_gemma":0.0000035288535,"threshold_uncertainty_score":0.99900836},"labels":[],"label_agreement":null},{"id":"W2141895127","doi":"10.1029/2006wr005467","title":"Moving beyond heterogeneity and process complexity: A new vision for watershed hydrology","year":2007,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":833,"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 British Columbia","funders":"Consortium of Universities for the Advancement of Hydrologic Science; National Science Foundation","keywords":"Watershed; Surface runoff; Process (computing); Field (mathematics); Coherence (philosophical gambling strategy); Hydrology (agriculture); Computer science; Geography; Environmental resource management; Environmental science; Ecology; Mathematics; Statistics; Machine learning; Geology; Biology","score_opus":0.054025523841882354,"score_gpt":0.3500378350459803,"score_spread":0.29601231120409793,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2141895127","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9896798,0.00005247402,0.0007124638,0.0043456834,0.00003633183,0.0006181709,0.000002097364,0.000048351885,0.004504603],"genre_scores_gemma":[0.99634117,0.000011930832,0.00059694325,0.00036480158,0.000085159845,0.00003640691,0.000014228593,0.00002001889,0.0025293191],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.997526,0.00014071909,0.00023516065,0.0005869444,0.0004254196,0.0010857631],"domain_scores_gemma":[0.99938285,0.00012298835,0.000026114418,0.00024586054,0.000019112464,0.00020308177],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027186163,0.0001658545,0.0002134489,0.00016471208,0.00079266995,0.000067525536,0.0003500078,0.00011624126,0.00020266011],"category_scores_gemma":[0.000040604737,0.00011122227,0.000044128697,0.0001480506,0.0010067157,0.00017416508,0.0010082598,0.00023983009,0.00018777254],"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":[0.0052334825,0.0006640534,0.6764585,0.00060687383,0.00045234503,0.00025025246,0.086990975,0.0016156983,0.16820057,0.0003983478,0.02181345,0.037315477],"study_design_scores_gemma":[0.0049818093,0.0023688707,0.14135064,0.000042873835,0.000074946365,0.000056382425,0.0018611369,0.006770081,0.16147521,0.0849277,0.5949611,0.0011292213],"about_ca_topic_score_codex":0.00045104034,"about_ca_topic_score_gemma":0.00092136057,"teacher_disagreement_score":0.57314765,"about_ca_system_score_codex":0.000060909995,"about_ca_system_score_gemma":0.0000023153723,"threshold_uncertainty_score":0.6096657},"labels":[],"label_agreement":null},{"id":"W2143725706","doi":"10.1002/2013wr013743","title":"A new multisource and high‐frequency approach to measuring <i>δ</i><sup>2</sup>H and <i>δ</i><sup>18</sup>O in hydrological field studies","year":2013,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","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":"Global Institute for Water Security; University of Saskatchewan","funders":"U.S. Department of Energy","keywords":"Lysimeter; Precipitation; Sampling (signal processing); Drainage; Environmental science; Soil water; Hydrology (agriculture); Water flow; Soil science; Geology; Meteorology; Physics","score_opus":0.06397291571911927,"score_gpt":0.2876865317006921,"score_spread":0.2237136159815728,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2143725706","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98090726,0.00055639993,0.0000990154,0.006819023,0.00001336253,0.0010901064,0.0000014861887,0.00006472029,0.010448654],"genre_scores_gemma":[0.9926279,0.00027640528,0.0017751807,0.00092054537,0.00008615613,0.00034043365,0.000003262408,0.000027428065,0.0039426964],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9959752,0.0005421657,0.00039440798,0.0010643849,0.0007160733,0.0013077576],"domain_scores_gemma":[0.9988312,0.00032860678,0.000027773764,0.00042543767,0.000026747979,0.0003602337],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016474973,0.00034060096,0.00047390824,0.00029681338,0.0005981378,0.00016237267,0.000541856,0.00019389081,0.0005413672],"category_scores_gemma":[0.00024262091,0.00022831789,0.000044999255,0.0003754808,0.0007080858,0.00033384736,0.0028638714,0.0006872004,0.000610855],"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":[0.00042196526,0.0004786969,0.7381475,0.00034329307,0.00036756627,0.0001707969,0.15077928,0.044447348,0.0051193372,0.00013232208,0.033938874,0.025653012],"study_design_scores_gemma":[0.019018907,0.0075526484,0.4432855,0.00087482104,0.00030399943,0.00030900203,0.06799732,0.10981673,0.016404916,0.050443433,0.2764683,0.0075244233],"about_ca_topic_score_codex":0.006631593,"about_ca_topic_score_gemma":0.00011490747,"teacher_disagreement_score":0.29486203,"about_ca_system_score_codex":0.00010477242,"about_ca_system_score_gemma":0.0000034987654,"threshold_uncertainty_score":0.9999833},"labels":[],"label_agreement":null},{"id":"W2144373698","doi":"10.1002/2013wr013810","title":"Modeling the relationship between climate oscillations and drought by a multivariate GARCH model","year":2013,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Drought Analysis","field":"Environmental Science","cited_by":44,"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":"Conditional variance; Heteroscedasticity; Autoregressive conditional heteroskedasticity; Autoregressive model; Covariance; Univariate; Mathematics; Econometrics; Multivariate statistics; Variance (accounting); Statistics; Series (stratigraphy); Economics; Accounting; Geology","score_opus":0.08029824537799671,"score_gpt":0.3322763198271178,"score_spread":0.2519780744491211,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2144373698","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98422074,0.000044812103,0.0022928058,0.0044186455,0.0000047619897,0.00029725005,0.000009091102,0.000028850445,0.008683054],"genre_scores_gemma":[0.99189186,0.000014473725,0.00037188738,0.000068935835,0.000033701763,0.0000886739,0.000029988001,0.000016248181,0.007484216],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99762875,0.0004960252,0.00024031359,0.0003915428,0.00055693166,0.0006864307],"domain_scores_gemma":[0.99899656,0.0004442615,0.00001827612,0.00037216954,0.000024702738,0.00014402981],"candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0017971297,0.00011893862,0.00013526712,0.000094882766,0.0014038818,0.0001678354,0.00036685122,0.00012359646,0.00084032933],"category_scores_gemma":[0.00011760548,0.000067310684,0.00004602363,0.0003158022,0.0005058034,0.00028784687,0.00067949685,0.000545035,0.0029251229],"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":[0.000019050238,0.0000359088,0.8253909,0.000010535342,0.000034179186,0.0000013633401,0.010302783,0.1549284,0.0053988504,0.0001287041,0.0032017971,0.0005475343],"study_design_scores_gemma":[0.00016537032,0.000019692012,0.022818903,0.0000048244347,0.000015212695,0.0000013028343,0.0001407126,0.9638062,0.00016580695,0.009733417,0.0030116162,0.00011693743],"about_ca_topic_score_codex":0.0020740335,"about_ca_topic_score_gemma":0.0001408311,"teacher_disagreement_score":0.8088778,"about_ca_system_score_codex":0.00005463906,"about_ca_system_score_gemma":0.0000034798625,"threshold_uncertainty_score":0.99989617},"labels":[],"label_agreement":null},{"id":"W2144836035","doi":"10.1029/2010wr009155","title":"Integrated modeling of groundwater–surface water interactions in a tile‐drained agricultural field: The importance of directly measured flow route contributions","year":2010,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":67,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Tile drainage; Groundwater; Groundwater flow; Surface runoff; Hydrology (agriculture); Environmental science; Ditch; Flow (mathematics); Surface water; Flow conditions; Subsurface flow; Water flow; Groundwater model; Soil science; Geology; Environmental engineering; Soil water; Geotechnical engineering; Aquifer; Mechanics","score_opus":0.029471324812989856,"score_gpt":0.2955214201257141,"score_spread":0.2660500953127242,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2144836035","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9904058,0.000015699494,0.0001546864,0.0049056513,0.000093263814,0.00040044152,0.000011138151,0.000021266627,0.0039920504],"genre_scores_gemma":[0.99803764,0.000009776669,0.00013515036,0.00004561437,0.00002511176,0.00005406638,0.00003072647,0.000008962769,0.0016529387],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99788755,0.0003462525,0.0004114473,0.0003055881,0.00045940978,0.0005897243],"domain_scores_gemma":[0.9993248,0.00013611763,0.000039440016,0.00034854267,0.00009683707,0.000054268017],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018059368,0.00014830548,0.00024609658,0.000096908894,0.00033202366,0.00003575003,0.0005076687,0.00008068396,0.0008095023],"category_scores_gemma":[0.00013480138,0.00006610859,0.00008052813,0.0002865387,0.0004609255,0.00019678276,0.0006063932,0.00073953305,0.00008684218],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00037087596,0.00032282624,0.09413968,0.000035473,0.00015175526,0.000015291676,0.03137002,0.04479925,0.82730067,0.000048051257,0.0010883946,0.00035768867],"study_design_scores_gemma":[0.0020485413,0.0004254508,0.02555269,0.00012325551,0.00007467618,0.000019319586,0.0057797893,0.1931238,0.7355972,0.003392233,0.0332273,0.0006357194],"about_ca_topic_score_codex":0.0049219443,"about_ca_topic_score_gemma":0.010357302,"teacher_disagreement_score":0.14832456,"about_ca_system_score_codex":0.0000752555,"about_ca_system_score_gemma":0.0000041287376,"threshold_uncertainty_score":0.8863483},"labels":[],"label_agreement":null},{"id":"W2145430922","doi":"10.1029/2011wr010949","title":"Hydrodynamic dispersion in steady buoyancy‐driven geological flows","year":2011,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Groundwater flow and contamination 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 Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; Western Canada Research Grid; Compute Canada; University of Calgary","keywords":"Mechanics; Buoyancy; Mixing (physics); Convection; Dispersion (optics); Natural convection; Convective mixing; Steady state (chemistry); Rayleigh number; Temperature gradient; Geology; Thermodynamics; Materials science; Physics; Meteorology; Chemistry; Optics","score_opus":0.05437857672988693,"score_gpt":0.2823730024913698,"score_spread":0.22799442576148288,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2145430922","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9798969,0.000037144055,0.00008171757,0.00023032956,0.000037811755,0.00023156943,0.0000014616352,0.00003221518,0.019450866],"genre_scores_gemma":[0.9859432,0.000021594888,0.00012443481,0.000034057266,0.000024774467,0.00006314753,0.0000055798705,0.000011936304,0.013771306],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9976216,0.00033500386,0.00021182453,0.0004343341,0.00070025236,0.0006969743],"domain_scores_gemma":[0.9995315,0.00005320147,0.000014268761,0.00028429012,0.000017786362,0.00009895332],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0008842161,0.00012778607,0.00016363025,0.00014780273,0.00024693826,0.000038546266,0.0004674136,0.000084597756,0.0043001506],"category_scores_gemma":[0.00003278381,0.00007901109,0.00004488505,0.00024751475,0.00036362486,0.00016081665,0.0010014256,0.00033386252,0.0035844345],"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":[0.00017560965,0.0003988654,0.89874095,0.000020322172,0.000018950575,0.00020976037,0.054010846,0.00036943596,0.026785178,0.00003627534,0.00053188246,0.018701943],"study_design_scores_gemma":[0.0007590523,0.00042290209,0.8958809,0.000045493576,0.000006097471,0.000011850923,0.0029047886,0.013819556,0.004805354,0.00057694333,0.0803741,0.00039298704],"about_ca_topic_score_codex":0.0026645728,"about_ca_topic_score_gemma":0.0018387568,"teacher_disagreement_score":0.07984222,"about_ca_system_score_codex":0.00017245772,"about_ca_system_score_gemma":0.000001943095,"threshold_uncertainty_score":0.99719137},"labels":[],"label_agreement":null},{"id":"W2145663944","doi":"10.1029/2010wr009861","title":"Experimental investigation of nonequilibrium capillarity effects: Fluid viscosity effects","year":2011,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Enhanced Oil Recovery Techniques","field":"Engineering","cited_by":48,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Porous medium; Viscosity; Saturation (graph theory); Wetting; Mechanics; Geotechnical engineering; Viscous fingering; Materials science; Multiphase flow; Rheology; Enhanced oil recovery; Thermodynamics; Geology; Porosity; Petroleum engineering; Mathematics; Composite material","score_opus":0.03517397544784029,"score_gpt":0.28016022796094875,"score_spread":0.24498625251310846,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2145663944","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9906742,0.0006457322,0.00024019048,0.000005845576,0.00010739088,0.0004973471,0.000002954293,0.0003760277,0.007450321],"genre_scores_gemma":[0.99822646,0.000027945707,0.0013668113,0.0000076227197,0.00005599916,0.00013138259,0.00000956033,0.000054103446,0.000120135315],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9980506,0.000320678,0.00025090005,0.00026758577,0.00055339315,0.00055684696],"domain_scores_gemma":[0.9991448,0.00015484766,0.000018381197,0.00044091686,0.000093340466,0.00014774826],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006779239,0.00018173439,0.00025507147,0.00030399332,0.00008255713,0.00003591749,0.00038529566,0.00016149272,0.00006545051],"category_scores_gemma":[0.00005968593,0.00014768355,0.000071263545,0.00023490781,0.00027076868,0.00023492755,0.0002504196,0.00039008848,0.00008238081],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000045003533,0.000036865193,0.002328956,0.0006293444,0.00003120722,0.000016280124,0.008115121,0.000025592413,0.98800415,0.000023588927,0.00041723563,0.00032666078],"study_design_scores_gemma":[0.00021632161,0.00036278216,0.0047059604,0.000137368,0.0000046600685,0.0000029472412,0.000052803454,0.00070204725,0.99265057,0.00042729752,0.0005735096,0.00016375279],"about_ca_topic_score_codex":0.00034698576,"about_ca_topic_score_gemma":0.000008096072,"teacher_disagreement_score":0.008062317,"about_ca_system_score_codex":0.00014028023,"about_ca_system_score_gemma":0.000008075627,"threshold_uncertainty_score":0.60223603},"labels":[],"label_agreement":null},{"id":"W2146184050","doi":"10.1029/2007wr006299","title":"A reference data set of hillslope rainfall‐runoff response, Panola Mountain Research Watershed, United States","year":2008,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":33,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"U.S. Geological Survey; National Science Foundation","keywords":"Surface runoff; Subsurface flow; Bedrock; Hydrology (agriculture); Watershed; Environmental science; Geology; Groundwater; Geomorphology; Geotechnical engineering","score_opus":0.1871735842529747,"score_gpt":0.37057441397413854,"score_spread":0.18340082972116384,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2146184050","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9856219,0.000079311496,0.00001160604,0.0058610584,0.000029440209,0.0006749336,0.000118889846,0.00007204338,0.0075307926],"genre_scores_gemma":[0.9788459,0.0006384902,0.00018114242,0.00017057908,0.00005497825,0.000083174535,0.0007510274,0.000043985205,0.019230708],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9898507,0.0041475445,0.0005689898,0.0011656528,0.002359358,0.001907778],"domain_scores_gemma":[0.99654067,0.000882683,0.00005894565,0.002092366,0.00018049499,0.00024482998],"candidate_categories":["sts","open_science","insufficient_payload"],"consensus_categories":["sts","insufficient_payload"],"category_scores_codex":[0.013963929,0.00029171305,0.00040406355,0.00096954656,0.0015857709,0.00008187118,0.0030855662,0.00020680089,0.0017124192],"category_scores_gemma":[0.0005257155,0.0001962506,0.00004903967,0.001543026,0.0043683555,0.00044688184,0.0090844305,0.0011683151,0.0023400446],"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":[0.015585115,0.0009415001,0.32182667,0.00035038637,0.00067266944,0.0019954138,0.21361029,0.00593614,0.072721794,0.00013017174,0.3642141,0.00201576],"study_design_scores_gemma":[0.00092121237,0.0006580835,0.02444858,0.000039775954,0.000011798971,0.000026776503,0.004345912,0.0016438558,0.008889544,0.00090114266,0.9577666,0.00034670084],"about_ca_topic_score_codex":0.013387891,"about_ca_topic_score_gemma":0.0005721561,"teacher_disagreement_score":0.59355253,"about_ca_system_score_codex":0.00022654133,"about_ca_system_score_gemma":0.000024369156,"threshold_uncertainty_score":0.999714},"labels":[],"label_agreement":null},{"id":"W2146897113","doi":"10.1029/2007wr006375","title":"A view toward the future of subsurface characterization: CAT scanning groundwater basins","year":2008,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":51,"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":"Strategic Environmental Research and Development Program","keywords":"Characterization (materials science); Structural basin; Scale (ratio); Remote sensing; Geology; Groundwater; Earth science; Environmental science; Geophysics; Hydrology (agriculture); Geomorphology; Geography; Cartography; Geotechnical engineering","score_opus":0.06163271581811052,"score_gpt":0.31066530821174154,"score_spread":0.249032592393631,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2146897113","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99548584,0.00027995478,0.0008529825,0.0021586658,0.00006083503,0.00025532127,0.00000934489,0.00006733828,0.00082970806],"genre_scores_gemma":[0.997787,0.00024200829,0.0006288059,0.000023624185,0.00035469237,0.000083718005,0.000020818778,0.000030438803,0.00082891627],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.99865645,0.00017434689,0.00019594471,0.00016990473,0.0004061905,0.0003971708],"domain_scores_gemma":[0.99935246,0.00006828163,0.000013346086,0.00037018606,0.00012059467,0.00007514585],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045606174,0.00011112102,0.00016551201,0.00007206049,0.00026101826,0.0000477993,0.0003759738,0.000060305225,0.000110282235],"category_scores_gemma":[0.00000682294,0.00006133213,0.000060219234,0.0003736293,0.0001938417,0.000078320736,0.00011272612,0.0002701766,0.00013245374],"study_design_candidate":"bench_or_experimental","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":[0.000024387477,0.00010216052,0.0022354743,0.0003338646,0.00006861391,0.000012620726,0.043801736,0.0005467785,0.9268602,0.00033676057,0.0005856172,0.025091792],"study_design_scores_gemma":[0.00019292491,0.00006666416,0.052730996,0.000054370626,0.000008642294,0.000021025024,0.0007620785,0.0020231705,0.11591731,0.0003347191,0.82766896,0.00021915966],"about_ca_topic_score_codex":0.000040567134,"about_ca_topic_score_gemma":0.0000069774414,"teacher_disagreement_score":0.82708335,"about_ca_system_score_codex":0.000027224736,"about_ca_system_score_gemma":0.000007458901,"threshold_uncertainty_score":0.25010517},"labels":[],"label_agreement":null},{"id":"W2148776007","doi":"10.1029/2005wr004025","title":"Bed load bias: Comparison of measurements obtained using two (76 and 152 mm) Helley‐Smith samplers in a gravel bed river","year":2006,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Sediment Transport Processes","field":"Environmental Science","cited_by":116,"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","funders":"Universitat de Lleida; Ministerio de Ciencia y Tecnología; University of British Columbia","keywords":"Bed load; Hydrology (agriculture); Sediment; Grain size; Sampling (signal processing); Environmental science; Soil science; Sample size determination; Geology; Stream bed; Geotechnical engineering; Statistics; Geomorphology; Mathematics; Sediment transport; Engineering","score_opus":0.13806146967802987,"score_gpt":0.348806645475936,"score_spread":0.2107451757979061,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2148776007","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9975512,0.0002908858,0.000053531614,0.00013379252,0.000015674283,0.00033544927,0.000005550879,0.000016320975,0.0015975873],"genre_scores_gemma":[0.9991859,0.0000123744785,0.0004539858,0.00002260679,0.000021232685,0.000014837931,0.0000125238585,0.000016493272,0.0002600404],"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9969416,0.00032425867,0.00041301368,0.0004532026,0.0011621009,0.00070579996],"domain_scores_gemma":[0.99949366,0.000086023065,0.000053178635,0.00022004254,0.000043816366,0.0001033053],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018100707,0.00016881213,0.00030462566,0.00020448775,0.000241833,0.000033137014,0.00032583665,0.00010300278,0.00050103525],"category_scores_gemma":[0.000032904256,0.00012673653,0.000038997998,0.00040295086,0.00095274916,0.00014682733,0.00019343272,0.00032140574,0.000048132464],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026523415,0.00023968103,0.8869436,0.000054722335,0.000019346442,0.000014155081,0.009257349,0.004948197,0.09771511,0.0000020742718,0.000082809864,0.00045775934],"study_design_scores_gemma":[0.0074502137,0.00067038223,0.4345139,0.00026050652,0.0000655283,0.000011260921,0.0017236155,0.017569622,0.51925397,0.0022696613,0.01537683,0.00083454925],"about_ca_topic_score_codex":0.018970301,"about_ca_topic_score_gemma":0.0034199678,"teacher_disagreement_score":0.45242968,"about_ca_system_score_codex":0.00016264721,"about_ca_system_score_gemma":0.000020539119,"threshold_uncertainty_score":0.9875625},"labels":[],"label_agreement":null},{"id":"W2148809616","doi":"10.1029/2006wr005037","title":"Form and stability of step‐pool channels: Research progress","year":2007,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Sediment Transport Processes","field":"Environmental Science","cited_by":221,"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 British Columbia","funders":"","keywords":"Hydraulics; Sediment transport; Channel (broadcasting); Geotechnical engineering; Geology; Sedimentary depositional environment; Sediment; Downstream (manufacturing); Shear stress; Hydrology (agriculture); Mechanics; Geomorphology; Engineering; Physics","score_opus":0.06606456323247901,"score_gpt":0.34790993437487355,"score_spread":0.28184537114239455,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2148809616","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9906744,0.00025771902,0.000041760315,0.0006243017,0.000024494677,0.0005163336,0.0000034522996,0.000024751444,0.007832783],"genre_scores_gemma":[0.9991057,0.000039396615,0.00013631587,0.000014919647,0.000048743223,0.0000402942,0.0000061616806,0.000015104213,0.00059335254],"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9961813,0.00032667472,0.00032299588,0.000501193,0.0014864174,0.0011813884],"domain_scores_gemma":[0.9989818,0.00029575426,0.000022577216,0.0003716096,0.00009566272,0.0002326313],"candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.013236689,0.00011861695,0.00018634791,0.00021803551,0.00046751407,0.000042887743,0.00050878077,0.00015877071,0.0022277953],"category_scores_gemma":[0.0000757165,0.00007923062,0.00003274466,0.00051866804,0.0032217707,0.00020821085,0.0005316011,0.00066931796,0.00017438586],"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":[0.0011124356,0.0005951373,0.8920118,0.00038646554,0.00003813945,0.000092895934,0.040692847,0.000019356348,0.03104172,0.00008729204,0.0005455794,0.033376284],"study_design_scores_gemma":[0.0010322011,0.0014072442,0.09407352,0.00006726232,0.000009547526,0.000015919773,0.0035845714,0.00047391775,0.6820998,0.0033421495,0.21355268,0.00034115856],"about_ca_topic_score_codex":0.0006047923,"about_ca_topic_score_gemma":0.0004160523,"teacher_disagreement_score":0.79793835,"about_ca_system_score_codex":0.0000738915,"about_ca_system_score_gemma":0.000010138246,"threshold_uncertainty_score":0.9994909},"labels":[],"label_agreement":null},{"id":"W2148820538","doi":"10.1029/2003wr002982","title":"Integrated hydrogeological and geophysical study of depression‐focused groundwater recharge in the Canadian prairies","year":2004,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Geophysical and Geoelectrical Methods","field":"Earth and Planetary Sciences","cited_by":104,"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":"Natural Sciences and Engineering Research Council of Canada; Deutscher Akademischer Austauschdienst","keywords":"Groundwater recharge; Hydrogeology; Groundwater; Wetland; Hydrology (agriculture); Geology; Aquifer; Snowmelt; Depression-focused recharge; Leaching (pedology); Environmental science; Geomorphology; Soil science; Soil water; Ecology","score_opus":0.06290087741656891,"score_gpt":0.30522579615442313,"score_spread":0.24232491873785422,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2148820538","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99654615,0.00007557525,0.0000025531124,0.00163569,0.000017845963,0.00045461112,0.0000051532925,0.000010985718,0.0012514265],"genre_scores_gemma":[0.9996075,0.0000029635878,0.00011609833,0.0000743599,0.000047874975,0.000012772187,0.000015287585,0.0000031618954,0.00011996129],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9966858,0.0013521654,0.00023202415,0.00036030964,0.00067128445,0.00069843704],"domain_scores_gemma":[0.99904346,0.00041854603,0.000017848351,0.00023951563,0.00007561929,0.00020500376],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015193115,0.00013242163,0.00024546185,0.00026078973,0.00038358453,0.00013172305,0.00047163724,0.000105079605,0.00014287273],"category_scores_gemma":[0.00017584745,0.000056768255,0.00003350659,0.00069961353,0.00038548757,0.00009417825,0.00005336199,0.0007581585,0.00009468659],"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":[0.00047883127,0.00098006,0.8707748,0.000035081302,0.000038584938,0.0003161248,0.030042998,0.00043380857,0.00045195164,0.00017782701,0.00005667445,0.09621325],"study_design_scores_gemma":[0.0006887302,0.0016238844,0.977281,0.000015553855,0.0000050220683,0.000009988505,0.0012987902,0.00035735974,0.00094327505,0.014512189,0.003140972,0.0001232846],"about_ca_topic_score_codex":0.74738514,"about_ca_topic_score_gemma":0.6765547,"teacher_disagreement_score":0.10650615,"about_ca_system_score_codex":0.000013010791,"about_ca_system_score_gemma":0.000041268828,"threshold_uncertainty_score":0.32938635},"labels":[],"label_agreement":null},{"id":"W2149221201","doi":"10.1002/2014wr016084","title":"Analytical approximation for the recession of a sloping aquifer","year":2014,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Groundwater flow and contamination studies","field":"Environmental Science","cited_by":18,"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 British Columbia","funders":"U.S. Geological Survey","keywords":"Aquifer; Flux (metallurgy); Geology; Recession; Value (mathematics); Soil science; Derivative (finance); Scale (ratio); Geotechnical engineering; Hydrology (agriculture); Mathematics; Statistics; Groundwater; Physics; Materials science; Economics","score_opus":0.06156705080975336,"score_gpt":0.3367856107317013,"score_spread":0.275218559921948,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2149221201","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9596441,0.000021767812,0.033611458,0.0022925432,0.000030334097,0.00032094293,9.024464e-7,0.000011438715,0.004066549],"genre_scores_gemma":[0.99196243,0.000004566377,0.0002099317,0.00003981309,0.00005290981,0.000085898406,0.0000032224661,0.000006549012,0.0076346523],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9987024,0.00017336152,0.00015564088,0.00017422611,0.00052383536,0.00027051035],"domain_scores_gemma":[0.99940485,0.00030601144,0.000019424728,0.00019679888,0.000040846015,0.000032076656],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002023426,0.0000561056,0.00009073326,0.000050200342,0.0003546021,0.000046727804,0.00025612107,0.00003269641,0.00022779447],"category_scores_gemma":[0.00010964999,0.000026635114,0.000040049465,0.00014132354,0.0002818332,0.000075919976,0.00029829209,0.000096057076,0.000111240755],"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":[0.00044036025,0.00024241852,0.08835403,0.00024652923,0.00010619499,0.0000010744288,0.04200809,0.0013697108,0.08069643,0.0022280125,0.011466581,0.77284056],"study_design_scores_gemma":[0.00048741332,0.00019366048,0.030012233,0.00003200352,0.000013379198,0.0000011579435,0.0011417151,0.08820538,0.04028076,0.0012044299,0.8383078,0.00012007543],"about_ca_topic_score_codex":0.00013493703,"about_ca_topic_score_gemma":0.000026449052,"teacher_disagreement_score":0.82684124,"about_ca_system_score_codex":0.000038316764,"about_ca_system_score_gemma":0.0000012772856,"threshold_uncertainty_score":0.27273482},"labels":[],"label_agreement":null},{"id":"W2149265620","doi":"10.1002/wrcr.20516","title":"Onset of deep drainage and salt mobilization following forest clearing and cultivation in the Chaco plains (Argentina)","year":2013,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Soil erosion and sediment transport","field":"Agricultural and Biological Sciences","cited_by":52,"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":"International Development Research Centre; Inter-American Institute for Global Change Research; National Science Foundation","keywords":"Groundwater recharge; Environmental science; Soil salinity; Groundwater; Hydrology (agriculture); Soil water; Irrigation; Soil salinity control; Leaching (pedology); Drainage; Water content; Aquifer; Leaching model; Agronomy; Geology; Ecology; Soil science","score_opus":0.03904997779449779,"score_gpt":0.2727035293016634,"score_spread":0.23365355150716563,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2149265620","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99791116,0.000060370247,0.0000016501189,0.0012588985,0.00000914347,0.00034583773,0.000001174247,0.00000926095,0.00040248092],"genre_scores_gemma":[0.9997187,0.000026864835,0.000008602264,0.000045129786,0.00002100387,0.000035776753,0.000031795083,9.3395e-7,0.00011116842],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989682,0.00016897969,0.00013459596,0.00016794495,0.00032603505,0.00023428317],"domain_scores_gemma":[0.99971294,0.00015195292,0.000015447362,0.000041898795,0.00003691595,0.00004081127],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008917901,0.000059021266,0.00008137417,0.000037621256,0.0002137863,0.00009271456,0.000121922014,0.00004948081,0.00005608691],"category_scores_gemma":[0.000034439287,0.000018249993,0.000023306678,0.00020849246,0.00008835203,0.00011608617,0.00006162162,0.00012127452,0.0000052784467],"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":[0.000029264698,0.00007213999,0.7894684,0.000028544733,0.000005494349,0.0000048695283,0.011155357,0.000011035685,0.18760008,0.000114639144,0.000037973994,0.011472211],"study_design_scores_gemma":[0.00016132448,0.00011487389,0.9899152,0.000024901292,0.0000017536717,0.0000014307589,0.0038737892,0.0010694679,0.0027755613,0.0005622132,0.0014459926,0.000053504646],"about_ca_topic_score_codex":0.0013109021,"about_ca_topic_score_gemma":0.0011005715,"teacher_disagreement_score":0.20044678,"about_ca_system_score_codex":0.0000070230262,"about_ca_system_score_gemma":8.0178745e-7,"threshold_uncertainty_score":0.19817007},"labels":[],"label_agreement":null},{"id":"W2150026874","doi":"10.1029/2009wr008119","title":"Impacts of precipitation seasonality and ecosystem types on evapotranspiration in the Yukon River Basin, Alaska","year":2010,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":75,"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":"Evergreen; Environmental science; Precipitation; Evapotranspiration; Ecosystem; Deciduous; Eddy covariance; Ecology; Seasonality; Growing season; Grassland; Atmospheric sciences; Hydrology (agriculture); Geography; Biology; Geology","score_opus":0.02042099608976115,"score_gpt":0.2759275116203645,"score_spread":0.25550651553060333,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2150026874","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9960174,0.0000068960267,0.0000057942893,0.00048671503,0.000020186326,0.00026490443,0.00001785526,0.000005518794,0.0031747255],"genre_scores_gemma":[0.9997562,0.000008828814,0.000039381455,0.00002327551,0.000017665125,0.000015424881,0.000018442615,0.000005447999,0.00011529916],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985155,0.0004048318,0.00014408954,0.00017721635,0.0005424665,0.00021593313],"domain_scores_gemma":[0.99956745,0.0001620395,0.000022419235,0.00018820836,0.00001684091,0.000043034233],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021932437,0.00006602848,0.00007596944,0.00005924056,0.00010269933,0.000050378676,0.00017975032,0.000069219604,0.00010996632],"category_scores_gemma":[0.00004268119,0.0000365577,0.000019579944,0.00015439214,0.00016176116,0.00012104746,0.0000539273,0.00030070735,0.000065735345],"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":[0.00017394326,0.00017428288,0.8860432,0.00006478393,0.000011870954,0.000009227849,0.034344416,0.004726505,0.0692697,0.00032656713,0.00007523482,0.004780255],"study_design_scores_gemma":[0.00040555268,0.0002154135,0.9547066,0.000042339343,0.0000070161964,0.000009894143,0.00015370904,0.023484796,0.010042335,0.0016076728,0.009198204,0.00012643806],"about_ca_topic_score_codex":0.0006482874,"about_ca_topic_score_gemma":0.002773698,"teacher_disagreement_score":0.068663426,"about_ca_system_score_codex":0.000037726186,"about_ca_system_score_gemma":0.00000393747,"threshold_uncertainty_score":0.15477885},"labels":[],"label_agreement":null},{"id":"W2152172286","doi":"10.1029/2009wr007786","title":"Measurement and prediction of the relationship between capillary pressure, saturation, and interfacial area in a NAPL‐water‐glass bead system","year":2010,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Groundwater flow and contamination studies","field":"Environmental Science","cited_by":154,"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":"Saturation (graph theory); Capillary pressure; Imbibition; Capillary action; Wetting; Curvature; Hysteresis; Materials science; Thermodynamics; Mineralogy; Chemistry; Composite material; Porous medium; Geometry; Mathematics; Physics; Porosity","score_opus":0.06613113898068976,"score_gpt":0.2694656063719292,"score_spread":0.20333446739123942,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2152172286","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.998453,0.000079641664,0.000053315765,0.0005185585,0.00006455895,0.0003762788,0.000008303422,0.000013001611,0.0004333459],"genre_scores_gemma":[0.99912703,0.0000023938508,0.000009121039,0.000004170891,0.00004155933,0.00004783786,0.0000046634304,0.0000071667428,0.0007560862],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9981349,0.00030607506,0.00025382818,0.00025132013,0.00079695234,0.00025689488],"domain_scores_gemma":[0.9995975,0.000067994195,0.00002762401,0.00019767662,0.00005767006,0.00005155814],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018983149,0.000092227536,0.00012546127,0.00009720385,0.0003505331,0.00007413078,0.00017380391,0.00008305582,0.000016065873],"category_scores_gemma":[0.00008906882,0.00004865653,0.000018557232,0.00012175591,0.00040673875,0.00015462298,0.0004829903,0.00035119941,0.00001196169],"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":[0.000021487422,0.000012612199,0.9395471,0.00006056222,0.000012828145,6.313923e-7,0.009990353,0.000009257526,0.049291402,0.000022753711,0.0000623416,0.000968633],"study_design_scores_gemma":[0.00027900757,0.000044054766,0.9584494,0.000053774995,0.000010940521,0.000003958184,0.00077844266,0.00016898279,0.03065667,0.00007091929,0.009427667,0.000056188946],"about_ca_topic_score_codex":0.0011238832,"about_ca_topic_score_gemma":0.0013364848,"teacher_disagreement_score":0.018902255,"about_ca_system_score_codex":0.00006948254,"about_ca_system_score_gemma":0.000003680166,"threshold_uncertainty_score":0.26960528},"labels":[],"label_agreement":null},{"id":"W2152260669","doi":"10.1029/2005wr004441","title":"Changes in the molecular weight distribution of dissolved organic carbon within a Precambrian shield stream","year":2006,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Ecology and biodiversity studies","field":"Environmental Science","cited_by":30,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Trent University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Swamp; Dissolved organic carbon; Precambrian; Beaver; Shield; Hydrology (agriculture); Environmental chemistry; Environmental science; Wetland; STREAMS; Total organic carbon; Geology; Ecology; Chemistry; Geochemistry; Biology; Paleontology","score_opus":0.01705108661175191,"score_gpt":0.2410098149575875,"score_spread":0.22395872834583558,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2152260669","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99294806,0.00004632279,0.0000011132508,0.0025401835,0.000014096912,0.00022130096,0.000009868599,0.0000076096594,0.004211462],"genre_scores_gemma":[0.9993202,0.000010219872,0.000006351275,0.000021976351,0.00002067085,0.000014537378,0.000027299167,0.0000031874993,0.000575527],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986207,0.00031833205,0.00010883261,0.00020148394,0.00041172755,0.00033893084],"domain_scores_gemma":[0.999697,0.00006481678,0.000022050352,0.00018364395,0.000010899589,0.000021560214],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00091172167,0.00007319501,0.00009744072,0.00004308949,0.00017249929,0.000018167131,0.0003430568,0.00007249314,0.00017414415],"category_scores_gemma":[0.000030232317,0.000040791096,0.0000220313,0.0002721253,0.00045859645,0.000028740253,0.00037220566,0.00021897697,0.000041083014],"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":[0.00007826123,0.00018529227,0.9020519,0.000016662325,0.00001356303,0.00005093883,0.009252163,0.000044108856,0.087507434,0.000047928,0.000605507,0.00014621031],"study_design_scores_gemma":[0.00034634446,0.00027323898,0.7457233,0.000016665359,0.00001112573,0.000003144752,0.0024040623,0.00010663127,0.24552846,0.0005227246,0.0049431385,0.00012114518],"about_ca_topic_score_codex":0.0041297204,"about_ca_topic_score_gemma":0.02343139,"teacher_disagreement_score":0.15802102,"about_ca_system_score_codex":0.0000730178,"about_ca_system_score_gemma":0.0000022184095,"threshold_uncertainty_score":0.99438846},"labels":[],"label_agreement":null},{"id":"W2156988484","doi":"10.1029/2009wr008815","title":"An examination of direct ground wave soil moisture monitoring over an annual cycle of soil conditions","year":2010,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":43,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Water content; Environmental science; Soil science; Soil water; Range (aeronautics); Dispersion (optics); Atmospheric sciences; Geology; Geotechnical engineering; Materials science; Physics","score_opus":0.03127457134977364,"score_gpt":0.34089196564478164,"score_spread":0.309617394295008,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2156988484","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99632907,0.000011852603,0.000062613115,0.00002266406,0.00005619972,0.00014460935,0.00007474863,0.00006218457,0.0032360666],"genre_scores_gemma":[0.99870044,0.00000512396,0.0007296197,9.135636e-7,0.0002755331,0.000061741215,0.000036961268,0.00002891929,0.00016077553],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9987408,0.00016204701,0.00019725408,0.00019416814,0.00040984197,0.0002959226],"domain_scores_gemma":[0.9990977,0.00012354681,0.000020969605,0.0004296941,0.0002076187,0.00012048466],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00064888963,0.00009887685,0.00016073699,0.00016156229,0.00013492318,0.000043431428,0.00023245547,0.00010336055,0.00004924423],"category_scores_gemma":[0.000028707156,0.00007938162,0.000042711905,0.00027584354,0.00018658956,0.00021755026,0.000053366402,0.00041729384,0.0000089723935],"study_design_candidate":"bench_or_experimental","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":[0.0000055300347,0.00014862942,0.00056489947,0.00006338558,0.000017697019,0.0000012339932,0.007438573,0.0021384908,0.9794127,0.00023724284,0.000014815319,0.009956802],"study_design_scores_gemma":[0.00018708265,0.0001385174,0.50107735,0.000021538923,0.000009161648,0.000001240596,0.0011972499,0.008112995,0.4858847,0.0019540736,0.0012784483,0.00013764309],"about_ca_topic_score_codex":0.0010296218,"about_ca_topic_score_gemma":0.00014450801,"teacher_disagreement_score":0.5005125,"about_ca_system_score_codex":0.000016924312,"about_ca_system_score_gemma":0.00000535029,"threshold_uncertainty_score":0.32370883},"labels":[],"label_agreement":null},{"id":"W2157399031","doi":"10.1029/2010wr009568","title":"Functional model of water balance variability at the catchment scale: 1. Evidence of hydrologic similarity and space‐time symmetry","year":2011,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":171,"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":"University of British Columbia; National Science Foundation","keywords":"Water balance; Environmental science; Precipitation; Hydrology (agriculture); Spatial variability; Temporal scales; Scale (ratio); Climatology; Mathematics; Statistics; Geology; Ecology; Meteorology; Geography","score_opus":0.06792027271600513,"score_gpt":0.2775313182863456,"score_spread":0.20961104557034044,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2157399031","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98892486,0.0000636096,0.00007663664,0.0021250087,0.000017906814,0.0003232325,0.0000053155313,0.000012109314,0.008451325],"genre_scores_gemma":[0.995046,0.000051902916,0.00013658713,0.00007736645,0.000010772319,0.00003958703,0.000002780491,0.0000067588294,0.004628248],"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99764806,0.0005363173,0.0002539871,0.0004382483,0.0006267656,0.0004966508],"domain_scores_gemma":[0.9992045,0.00018366413,0.000037614707,0.00047647697,0.000031478303,0.00006622747],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.004178265,0.0001320221,0.00021538306,0.0000568517,0.0003828978,0.000009094373,0.00039209108,0.00008873529,0.002043772],"category_scores_gemma":[0.000056897232,0.00006243756,0.00005008088,0.0001080011,0.0023779075,0.00012741257,0.0024973075,0.0002497279,0.00024121361],"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":[0.0009208786,0.00027420762,0.8311729,0.0001541974,0.000092377435,0.0000047069084,0.014007854,0.004924709,0.14622368,0.000049890776,0.0020326886,0.00014191048],"study_design_scores_gemma":[0.0008103434,0.0008355689,0.22603458,0.000067467794,0.00009397568,0.000008015385,0.00031978165,0.0452979,0.6967271,0.027199997,0.0021787342,0.00042655985],"about_ca_topic_score_codex":0.00065378024,"about_ca_topic_score_gemma":0.00004033378,"teacher_disagreement_score":0.6051383,"about_ca_system_score_codex":0.00007631106,"about_ca_system_score_gemma":0.0000025812126,"threshold_uncertainty_score":0.99886847},"labels":[],"label_agreement":null},{"id":"W2158603182","doi":"10.1002/2015wr017455","title":"Macroweather precipitation variability up to global and centennial scales","year":2015,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Climate variability and models","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":"McGill University","funders":"","keywords":"Precipitation; Scaling; Climatology; Environmental science; Temporal scales; Scale (ratio); Range (aeronautics); Satellite; Meteorology; Atmospheric sciences; Mathematics; Geography; Physics; Geology","score_opus":0.07357212357773875,"score_gpt":0.3461639120916308,"score_spread":0.27259178851389204,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2158603182","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98198396,0.000007891809,0.00022892212,0.0017647751,0.0000705252,0.00041494053,0.000020651583,0.000032400952,0.0154759465],"genre_scores_gemma":[0.99793977,0.0000027123906,0.0005165432,0.00008923779,0.00005423349,0.000039303115,0.0000069550524,0.0000087873295,0.0013424702],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99757504,0.00050924346,0.00016788453,0.0004715776,0.0007383953,0.0005378689],"domain_scores_gemma":[0.99913234,0.000080420294,0.000010159885,0.00032839435,0.00004727526,0.0004014241],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003587394,0.00010098668,0.00011292766,0.00003425473,0.00017046907,0.00012784022,0.00026524803,0.00007866702,0.0006080373],"category_scores_gemma":[0.0002837388,0.00007042749,0.00002440465,0.00021008223,0.0003736794,0.00015548202,0.0009153763,0.0001452231,0.0009882026],"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":[0.0014151083,0.0004401721,0.8521665,0.000073135605,0.000027718226,0.000014596308,0.08605843,0.00409205,0.024411457,0.00054312,0.011323356,0.019434396],"study_design_scores_gemma":[0.003523028,0.0014986389,0.29240304,0.00006957397,0.000027282907,0.000034044246,0.005647977,0.020045957,0.007879406,0.17739825,0.49026474,0.0012080689],"about_ca_topic_score_codex":0.0019394265,"about_ca_topic_score_gemma":0.00044706417,"teacher_disagreement_score":0.55976343,"about_ca_system_score_codex":0.0003282163,"about_ca_system_score_gemma":0.000006677233,"threshold_uncertainty_score":0.99978966},"labels":[],"label_agreement":null},{"id":"W2158844311","doi":"10.1029/2000wr000148","title":"Hydrogeologic assessment of in situ natural attenuation in a controlled field experiment","year":2002,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Groundwater flow and contamination studies","field":"Environmental Science","cited_by":26,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Aquifer; Carbon tetrachloride; Volatilisation; Hydrogeology; Toluene; Tetrachloroethylene; Bromide; Sampling (signal processing); Environmental science; Volumetric flow rate; Chemistry; Analytical Chemistry (journal); Environmental chemistry; Soil science; Groundwater; Geology; Geotechnical engineering; Trichloroethylene","score_opus":0.04167376069313027,"score_gpt":0.32937461390471284,"score_spread":0.28770085321158256,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2158844311","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98766166,0.00014228627,0.000026372018,0.0011676246,0.000023734758,0.00039492792,2.2429971e-7,0.000006762873,0.010576418],"genre_scores_gemma":[0.99488986,0.00001682595,0.0000496717,0.000052573687,0.000010548991,0.00017267873,0.0000019218862,0.0000042707047,0.0048016533],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99817,0.00034063993,0.00028583826,0.00023512077,0.0006095665,0.00035880093],"domain_scores_gemma":[0.9996316,0.00014365559,0.000025764062,0.00015318676,0.000016790234,0.000028999864],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009987155,0.00008299798,0.00021158592,0.00018328616,0.000066386245,0.000025014499,0.0002006392,0.000045931803,0.0011674393],"category_scores_gemma":[0.000040267994,0.000053473384,0.000038030805,0.00022559002,0.0001270392,0.00009709974,0.0002911048,0.00022537712,0.000112009446],"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":[0.00018488821,0.00053991046,0.6494499,0.000018275303,0.00002147127,0.00005626067,0.02711829,0.00054297433,0.30486462,0.000035567205,0.00043733043,0.016730554],"study_design_scores_gemma":[0.011492383,0.00085980905,0.7251193,0.000079135316,0.00000693289,0.000005139492,0.0050011566,0.044232104,0.19604485,0.00029103167,0.016449805,0.00041837373],"about_ca_topic_score_codex":0.0009317982,"about_ca_topic_score_gemma":0.000933412,"teacher_disagreement_score":0.108819775,"about_ca_system_score_codex":0.00018110315,"about_ca_system_score_gemma":0.0000013600537,"threshold_uncertainty_score":0.9997456},"labels":[],"label_agreement":null},{"id":"W2159830737","doi":"10.1029/2007wr006427","title":"Joint Bayesian model selection and parameter estimation of the generalized extreme value model with covariates using birth‐death Markov chain Monte Carlo","year":2009,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Insurance, Mortality, Demography, Risk Management","field":"Social Sciences","cited_by":58,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hydro-Québec; Université du Québec; Natural Sciences and Engineering Research Council of Canada","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Markov chain Monte Carlo; Reversible-jump Markov chain Monte Carlo; Bayesian probability; Covariate; Model selection; Bayesian inference; Bayesian average; Bayesian hierarchical modeling; Computer science; Mathematics; Gibbs sampling; Statistics; Algorithm","score_opus":0.0862613373586438,"score_gpt":0.3370777354482927,"score_spread":0.25081639808964895,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2159830737","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9783372,0.00008499717,0.018511182,0.00095600693,0.00002167782,0.00090121216,0.0000072231546,0.00004570794,0.0011347496],"genre_scores_gemma":[0.9818819,0.00006104382,0.01696519,0.000066441215,0.000049582617,0.000031567608,0.0000018249883,0.000021282278,0.0009211312],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9961848,0.001015033,0.00032227542,0.00041825575,0.0013878198,0.00067181274],"domain_scores_gemma":[0.99915653,0.00004385855,0.00009593591,0.00033971484,0.0002532514,0.00011071866],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0032025848,0.00017590325,0.00025058526,0.00036731942,0.0010114644,0.00025304427,0.00033090223,0.000110791094,0.000010470129],"category_scores_gemma":[0.00006849431,0.000108121116,0.00008628173,0.0005708111,0.0003921462,0.00024691402,0.00012267404,0.0002931101,8.223926e-7],"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":[0.00016469097,0.000086138985,0.011887564,0.000046591977,0.000053856318,0.0000023776975,0.019733347,0.9602333,0.002162666,0.003855575,0.000036125904,0.001737811],"study_design_scores_gemma":[0.00040520384,0.00007443383,0.006511812,0.000054563232,0.000026745629,0.0000012911374,0.00039830938,0.9777959,0.0011744534,0.013316047,0.00008897087,0.00015226433],"about_ca_topic_score_codex":0.009669378,"about_ca_topic_score_gemma":0.001111381,"teacher_disagreement_score":0.019335037,"about_ca_system_score_codex":0.00014629343,"about_ca_system_score_gemma":0.000065151995,"threshold_uncertainty_score":0.9969253},"labels":[],"label_agreement":null},{"id":"W2162200143","doi":"10.1029/2005wr004707","title":"Experiments on the effect of hydrograph characteristics on vertical grain sorting in gravel bed rivers","year":2006,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Sediment Transport Processes","field":"Environmental Science","cited_by":190,"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; University of British Columbia","funders":"","keywords":"Hydrograph; Sorting; Snowmelt; Hydrology (agriculture); Sediment; STREAMS; Geology; Environmental science; Surface runoff; Snow; Geotechnical engineering; Geomorphology; Mathematics","score_opus":0.021468944181407032,"score_gpt":0.28866028727262316,"score_spread":0.2671913430912161,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2162200143","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99379086,0.000009046885,0.0000018360961,0.0003571783,0.000020944117,0.00029577286,0.000002215483,0.000013161895,0.005508979],"genre_scores_gemma":[0.99966955,0.0000033738966,0.000004939787,0.000051763065,0.000022279994,0.000052247895,0.000012181094,0.000011765964,0.0001719156],"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9977519,0.00042671128,0.0002545845,0.00029957903,0.00071802054,0.00054918474],"domain_scores_gemma":[0.9993971,0.00029527335,0.000020297251,0.00022719713,0.0000058050437,0.000054330663],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001513832,0.00012859078,0.00017243363,0.00012884612,0.000202482,0.000020408634,0.00036242115,0.000086227694,0.00061796233],"category_scores_gemma":[0.000051527208,0.000069419046,0.000055006636,0.00025468078,0.0006763607,0.000041801526,0.000095524294,0.0003944662,0.00023383326],"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":[0.0010480976,0.0003235,0.8800857,0.000035131623,0.00001943121,0.00010378058,0.003428264,0.00059268274,0.1127077,0.00010077407,0.0001855338,0.0013694055],"study_design_scores_gemma":[0.00086076854,0.0013970815,0.14630717,0.000060801984,0.000007157598,0.0000013050318,0.00007758409,0.00064278045,0.84695894,0.0005257403,0.0030050625,0.00015558927],"about_ca_topic_score_codex":0.0005797863,"about_ca_topic_score_gemma":0.000043006447,"teacher_disagreement_score":0.73425126,"about_ca_system_score_codex":0.000048105972,"about_ca_system_score_gemma":0.0000019697177,"threshold_uncertainty_score":0.67662543},"labels":[],"label_agreement":null},{"id":"W2163899350","doi":"10.1029/2003wr002295","title":"On the objective identification of flood seasons","year":2004,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Drought Analysis","field":"Environmental Science","cited_by":87,"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; 100-year flood; Seasonality; Hydrology (agriculture); Environmental science; Identification (biology); Flood forecasting; Sampling (signal processing); Distribution (mathematics); Statistics; Geography; Computer science; Mathematics; Geology; Ecology","score_opus":0.024587932408020825,"score_gpt":0.29662538215658224,"score_spread":0.2720374497485614,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2163899350","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9790372,0.000010773816,0.00006189368,0.003284944,0.0000102483655,0.00013197589,0.0000023571224,0.00000905583,0.017451543],"genre_scores_gemma":[0.9972639,0.000004114042,0.000011450783,0.000057023768,0.000017452385,0.000025402203,0.0000028687748,0.000005521459,0.0026122695],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9985388,0.0002969453,0.00011280371,0.00021304315,0.00056258525,0.00027580408],"domain_scores_gemma":[0.99944615,0.00012249796,0.000021718952,0.00034927402,0.000017506158,0.000042869346],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0014937094,0.000055280092,0.00007345321,0.000067310706,0.00032402,0.000024636554,0.00037074505,0.000050882583,0.0016921589],"category_scores_gemma":[0.00011089847,0.000028444823,0.000051773874,0.0003412754,0.0005581015,0.00005602062,0.00018973317,0.00023750121,0.0028159195],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005557101,0.0012310229,0.069706626,0.000030061265,0.0003427487,0.000057008307,0.09362885,0.1060639,0.7109179,0.008404055,0.005479244,0.0035828934],"study_design_scores_gemma":[0.00048163184,0.00028944865,0.054684784,0.000015838687,0.000026075242,0.0000042894962,0.0011984651,0.0010535116,0.87727815,0.052709125,0.012093981,0.00016472992],"about_ca_topic_score_codex":0.0005822081,"about_ca_topic_score_gemma":0.00017912529,"teacher_disagreement_score":0.16636026,"about_ca_system_score_codex":0.00007735719,"about_ca_system_score_gemma":0.0000040412233,"threshold_uncertainty_score":0.99922043},"labels":[],"label_agreement":null},{"id":"W2165221462","doi":"10.1002/2014wr016216","title":"Analysis of convergent flow tracer tests in a heterogeneous sandy box with connected gravel channels","year":2015,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Groundwater flow and contamination studies","field":"Environmental Science","cited_by":33,"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 British Columbia","funders":"","keywords":"TRACER; Mass transfer; Flow (mathematics); Geology; Biological system; Mathematics; Soil science; Mechanics; Geometry; Physics","score_opus":0.055353540005157534,"score_gpt":0.3016940654641107,"score_spread":0.24634052545895319,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2165221462","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99851006,0.00006757924,0.00022305787,0.0002226972,0.000023593893,0.00025977773,0.000008821418,0.000015361238,0.0006690303],"genre_scores_gemma":[0.9964684,0.0000062391136,0.000065226675,0.000026783306,0.000014154787,0.00006115288,0.000020278405,0.000012800629,0.003324937],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9975057,0.0002964161,0.00026816348,0.0003770422,0.0010291613,0.00052349095],"domain_scores_gemma":[0.999359,0.00006572133,0.000033199543,0.00028576216,0.00009427107,0.000162015],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010145564,0.00013715512,0.0003176588,0.00043373226,0.000094172196,0.000052340336,0.0002827829,0.00005495925,0.0007082656],"category_scores_gemma":[0.000034202032,0.00008419694,0.00006095114,0.0011276037,0.00035402455,0.00008689205,0.0003072397,0.00015546559,0.00015578012],"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":[0.00050994585,0.0003949508,0.87094295,0.000024902096,0.0006216803,0.00016428338,0.07037217,0.03906909,0.012515547,0.0000031344016,0.00037659646,0.0050047715],"study_design_scores_gemma":[0.0053366125,0.0018132977,0.69578385,0.000075281016,0.00034218255,0.000031211755,0.0083598215,0.08377642,0.13564636,0.00014243131,0.06772832,0.0009642245],"about_ca_topic_score_codex":0.0027196778,"about_ca_topic_score_gemma":0.0035958462,"teacher_disagreement_score":0.1751591,"about_ca_system_score_codex":0.0001548351,"about_ca_system_score_gemma":0.000007727614,"threshold_uncertainty_score":0.77550113},"labels":[],"label_agreement":null},{"id":"W2165555194","doi":"10.1002/2015wr017323","title":"Climate and agricultural land use change impacts on streamflow in the upper midwestern United States","year":2015,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":116,"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":"U.S. Geological Survey; University of Minnesota; Minnesota Department of Natural Resources","keywords":"Streamflow; Environmental science; Precipitation; Evapotranspiration; Climate change; Hydrology (agriculture); Land cover; Drainage; Land use; Climatology; Physical geography; Drainage basin; Geography; Geology; Ecology; Meteorology","score_opus":0.09591715076165279,"score_gpt":0.3135318713420288,"score_spread":0.217614720580376,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2165555194","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9921469,0.000032449,9.170549e-8,0.0059064087,0.000016635042,0.00033468293,0.0000077093355,0.000015535144,0.0015395952],"genre_scores_gemma":[0.9983748,0.00018608854,0.000005756075,0.0006489497,0.000036000616,0.00005450221,0.000046121924,0.000006963372,0.00064080267],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99808174,0.00048252396,0.00010526595,0.00024909808,0.0004516005,0.00062976405],"domain_scores_gemma":[0.9995805,0.000117832846,0.000012597224,0.00018279819,0.000011249929,0.00009504663],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013272951,0.00011675965,0.00010048447,0.00013131648,0.00023620631,0.00014711953,0.00024556072,0.000048494698,0.000048529226],"category_scores_gemma":[0.000032143806,0.00005035385,0.000015152789,0.00023251271,0.00033123017,0.00022951863,0.000566629,0.00025333592,0.0003707595],"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":[0.00015023886,0.000077467674,0.93764466,0.000012629895,0.000012101085,0.00006549845,0.059001725,0.00038051326,0.00007163453,0.0000049256205,0.0021453828,0.000433236],"study_design_scores_gemma":[0.00062316353,0.00037128865,0.91414005,0.000027088097,0.000005524359,0.0000064724,0.0043332363,0.00029802002,0.00032152634,0.00016619953,0.0795742,0.00013323093],"about_ca_topic_score_codex":0.0042347936,"about_ca_topic_score_gemma":0.0014704928,"teacher_disagreement_score":0.07742882,"about_ca_system_score_codex":0.000047424273,"about_ca_system_score_gemma":4.962103e-7,"threshold_uncertainty_score":0.6401769},"labels":[],"label_agreement":null},{"id":"W2166214934","doi":"10.1029/2008wr006975","title":"Detection of runoff timing changes in pluvial, nival, and glacial rivers of western Canada","year":2009,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":246,"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 British Columbia; University of Northern British Columbia","funders":"U.S. Geological Survey; University of Northern British Columbia","keywords":"Streamflow; Pluvial; Surface runoff; Glacial period; Precipitation; Climate change; Environmental science; Hydrology (agriculture); Physical geography; Drainage basin; Geology; Climatology; Geography; Geomorphology; Ecology; Meteorology","score_opus":0.027905244383269745,"score_gpt":0.27083423657723577,"score_spread":0.24292899219396602,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2166214934","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99754226,0.000028112652,0.0000032116561,0.000838427,0.000016669906,0.00012535694,0.0000011135216,0.0000037760371,0.0014410665],"genre_scores_gemma":[0.9994548,0.00004638011,0.000011498389,0.00003955201,0.000013717399,0.0000038142448,7.6412664e-7,0.0000030470112,0.0004264042],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99900365,0.0001149301,0.00011293378,0.00016670075,0.00031872894,0.00028308408],"domain_scores_gemma":[0.9998164,0.000027410399,0.000020737836,0.00009597728,0.000007109408,0.000032323554],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004978042,0.00006059162,0.000120723686,0.00011105165,0.00010798038,0.000006005255,0.00013225235,0.000034765646,0.000072027375],"category_scores_gemma":[0.000013915992,0.000045259516,0.000009335877,0.00012409895,0.00027506772,0.000053126874,0.0002341738,0.00011000127,0.0000055635423],"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":[0.00044706237,0.000099693105,0.6656793,0.00008776206,0.000036345467,0.00005765082,0.026217276,0.0012161424,0.2803649,0.000003633765,0.00039271917,0.025397534],"study_design_scores_gemma":[0.0008417237,0.0006426022,0.6614675,0.00004416361,0.000011091245,0.000002413389,0.0013662681,0.00044422076,0.31217214,0.00037300543,0.022448378,0.00018649755],"about_ca_topic_score_codex":0.18903299,"about_ca_topic_score_gemma":0.52187103,"teacher_disagreement_score":0.332838,"about_ca_system_score_codex":0.00006755244,"about_ca_system_score_gemma":0.0000029073387,"threshold_uncertainty_score":0.8163673},"labels":[],"label_agreement":null},{"id":"W2166781611","doi":"10.1029/2006wr005142","title":"Flood frequency analysis at ungauged sites using artificial neural networks in canonical correlation analysis physiographic space","year":2007,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Drought Analysis","field":"Environmental Science","cited_by":176,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"Canonical correlation; Jackknife resampling; Artificial neural network; Quantile; Generalization; Computer science; Ensemble forecasting; Artificial intelligence; Kriging; Machine learning; Mathematics; Data mining; Statistics; Estimator","score_opus":0.03547735419306032,"score_gpt":0.31622225562077777,"score_spread":0.28074490142771746,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2166781611","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9954181,0.00010950818,0.0029303588,0.0001940555,0.000019809126,0.00016612929,0.000003156466,0.000040671468,0.0011182241],"genre_scores_gemma":[0.9992476,0.000009113636,0.00019260289,0.000036598845,0.00008241298,0.00000799484,0.00010862084,0.000020866153,0.00029418455],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9954478,0.00091013097,0.0005602725,0.00079284783,0.0010382314,0.0012506862],"domain_scores_gemma":[0.9987896,0.00028299773,0.000080152975,0.0005672324,0.000034557394,0.00024542166],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0037042946,0.00022033569,0.00049616914,0.0020610963,0.0006876488,0.0000895343,0.00044189603,0.00028733702,0.0023486007],"category_scores_gemma":[0.000055898494,0.0001709925,0.0004956055,0.0114459,0.0006622568,0.00020625777,0.00047650028,0.0007640973,0.00017064574],"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":[0.00008425592,0.000065374166,0.5526459,0.0000012055904,0.00041409946,0.000051999963,0.00063014776,0.43712664,0.008877932,0.000007669716,0.000006242355,0.00008854607],"study_design_scores_gemma":[0.00013077843,0.000039605362,0.35514444,0.0000016006813,0.0007761772,0.0000014765491,0.00009406658,0.6423044,0.0010217498,0.00022758108,0.000084904736,0.00017320475],"about_ca_topic_score_codex":0.015191599,"about_ca_topic_score_gemma":0.13217148,"teacher_disagreement_score":0.2051778,"about_ca_system_score_codex":0.00038236566,"about_ca_system_score_gemma":0.00000560571,"threshold_uncertainty_score":0.9985634},"labels":[],"label_agreement":null},{"id":"W2166790957","doi":"10.1029/2008wr007536","title":"Surface‐subsurface flow modeling with path‐based runoff routing, boundary condition‐based coupling, and assimilation of multisource observation data","year":2010,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":455,"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":"Subsurface flow; Surface runoff; Data assimilation; Flow routing; Routing (electronic design automation); Geology; Flow (mathematics); Hydrology (agriculture); Environmental science; Computer science; Geometry; Meteorology; Mathematics; Geotechnical engineering; Groundwater; Geography","score_opus":0.07073615673569382,"score_gpt":0.31385662849622076,"score_spread":0.24312047176052692,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2166790957","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98885685,0.000018648869,0.009126831,0.001001109,0.000035273824,0.0004097243,0.00003530392,0.000048628033,0.0004676479],"genre_scores_gemma":[0.9928871,0.000006443071,0.0064062825,0.00007592237,0.000021948692,0.000014247838,0.00031643352,0.000024251878,0.00024740805],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9977417,0.00014236468,0.00027140038,0.0005849368,0.00076659827,0.00049298303],"domain_scores_gemma":[0.9989764,0.00013147091,0.00006868216,0.0006744215,0.000059797414,0.00008922604],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002275462,0.00016993957,0.00019439605,0.00008956785,0.00074912765,0.00009518414,0.00047933825,0.000118658005,0.00033514225],"category_scores_gemma":[0.00007636556,0.0001204108,0.000020521955,0.00021434616,0.0008245204,0.00034604414,0.00065270165,0.00047137093,0.00004461957],"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":[0.00015371676,0.00008220586,0.25177878,0.000049281807,0.000025901834,0.0000055794985,0.0019240489,0.72183615,0.023696698,0.000003871373,0.00024447517,0.00019930777],"study_design_scores_gemma":[0.00077456527,0.00010971235,0.019024711,0.0000331141,0.00001647549,6.8082136e-7,0.00020425514,0.97053665,0.005030718,0.000053679836,0.0040573482,0.00015808897],"about_ca_topic_score_codex":0.00080935104,"about_ca_topic_score_gemma":0.0005124302,"teacher_disagreement_score":0.24870051,"about_ca_system_score_codex":0.00003642918,"about_ca_system_score_gemma":0.000012112259,"threshold_uncertainty_score":0.576176},"labels":[],"label_agreement":null},{"id":"W2166825986","doi":"10.1029/2004wr003157","title":"Origin and migration of dissolved organic carbon fractions in a clay‐rich aquitard: <sup>14</sup>C and δ<sup>13</sup>C evidence","year":2005,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Groundwater and Isotope Geochemistry","field":"Earth and Planetary Sciences","cited_by":38,"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; Environment and Climate Change Canada; University of Saskatchewan","funders":"Natural Sciences and Engineering Research Council of Canada; Cameco","keywords":"Dissolved organic carbon; Aquifer; Pore water pressure; Total organic carbon; Chemistry; Diffusion; Carbon fibers; Soil science; Geology; Environmental chemistry; Analytical Chemistry (journal); Mineralogy; Groundwater; Materials science; Thermodynamics","score_opus":0.037337744605532144,"score_gpt":0.28523179193254206,"score_spread":0.24789404732700993,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2166825986","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9953235,0.0016489599,0.0000040348527,0.0012719244,0.000011712284,0.0003051366,0.000018891396,0.000023828075,0.0013920063],"genre_scores_gemma":[0.99745584,0.000530311,0.00010841696,0.00003513518,0.00016499423,0.000009812092,0.00006238713,0.00000955827,0.0016235757],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99738103,0.00031720818,0.0003824054,0.00052468805,0.00069133204,0.000703362],"domain_scores_gemma":[0.9989881,0.0003085815,0.000038716502,0.00033346878,0.000114022194,0.00021708931],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001283531,0.00019644355,0.00027478684,0.00032163286,0.00024378338,0.00021271312,0.00030378692,0.00016075218,0.00089127565],"category_scores_gemma":[0.00013269321,0.00014184976,0.00003439088,0.00044363042,0.00030383107,0.00044115572,0.00010272329,0.0005465039,0.00006334314],"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":[0.00020369128,0.00005672104,0.9568312,0.0001692889,0.000025918102,0.00002209525,0.019006575,0.0026977179,0.0154174995,0.0000012202808,0.00026352765,0.0053045144],"study_design_scores_gemma":[0.0022257692,0.001039738,0.56445736,0.000643307,0.00006569141,0.00017472751,0.011172845,0.27896407,0.07316416,0.00068013865,0.066328675,0.0010835245],"about_ca_topic_score_codex":0.014880357,"about_ca_topic_score_gemma":0.008305073,"teacher_disagreement_score":0.3923739,"about_ca_system_score_codex":0.000026246249,"about_ca_system_score_gemma":0.000042654512,"threshold_uncertainty_score":0.99167967},"labels":[],"label_agreement":null},{"id":"W2167461326","doi":"10.1002/2013wr014127","title":"Root‐zone soil moisture estimation using data‐driven methods","year":2014,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Soil Moisture and Remote Sensing","field":"Environmental Science","cited_by":123,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"Ontario Innovation Trust","keywords":"Water content; Environmental science; Soil science; Pedotransfer function; DNS root zone; Soil water; Moisture; Forcing (mathematics); Hydrology (agriculture); Hydraulic conductivity; Atmospheric sciences; Geology; Meteorology; Geotechnical engineering; Geography","score_opus":0.08952690221014431,"score_gpt":0.39645131953769924,"score_spread":0.30692441732755493,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2167461326","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9352584,0.00005003965,0.03169286,0.0006834011,0.00011437621,0.00021842182,0.0000015140915,0.0000671563,0.031913847],"genre_scores_gemma":[0.9373376,0.0000036371578,0.060493257,0.000073902695,0.00027409507,0.0000012598844,0.000045373326,0.000036144906,0.0017347445],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9963061,0.0011866095,0.00023363605,0.000634052,0.0009367491,0.00070284575],"domain_scores_gemma":[0.9984782,0.00020274929,0.000037783924,0.0010813971,0.000028776496,0.00017110686],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0036373436,0.00016238952,0.00019853993,0.0001226375,0.00055231154,0.00019001392,0.000820894,0.00014618771,0.0001756795],"category_scores_gemma":[0.00022218552,0.000105332394,0.000042895143,0.0003317435,0.00043436215,0.00026309583,0.0016576665,0.00051135186,0.00067799015],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000069042646,0.00009919133,0.015114404,0.000054866017,0.000043383912,0.00003157634,0.007835677,0.07951729,0.27143878,0.000011440536,0.0032347771,0.6225496],"study_design_scores_gemma":[0.00029866686,0.00007020412,0.024284013,0.00004237046,0.00001961895,0.000038493567,0.00019527666,0.7138431,0.032493155,0.0007566876,0.22768824,0.00027016565],"about_ca_topic_score_codex":0.0072180303,"about_ca_topic_score_gemma":0.00247506,"teacher_disagreement_score":0.6343258,"about_ca_system_score_codex":0.0001502491,"about_ca_system_score_gemma":0.000006394971,"threshold_uncertainty_score":0.999393},"labels":[],"label_agreement":null},{"id":"W2168725463","doi":"10.1029/2005wr004851","title":"Application of a dual deposition mode model to evaluate transport of <i>Escherichia coli</i> D21 in porous media","year":2006,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Fecal contamination and water quality","field":"Environmental Science","cited_by":33,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; National Institutes of Health; National Science Foundation","keywords":"DLVO theory; Ionic strength; Colloid; Deposition (geology); Polystyrene; Surface charge; Adhesion; Chemical physics; Materials science; Chemical engineering; Chemistry; Zeta potential; Chromatography; Biophysics; Nanotechnology; Polymer; Aqueous solution; Composite material; Nanoparticle; Physical chemistry","score_opus":0.03921159044643877,"score_gpt":0.3209456479919937,"score_spread":0.2817340575455549,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2168725463","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9917046,0.0000072492426,0.0039540255,0.0003321987,0.000006044709,0.0004541843,0.000020147849,0.000011911884,0.0035096505],"genre_scores_gemma":[0.9985968,0.0000017068046,0.0008218688,0.00004119573,0.0000130781145,0.000085402,0.0000500324,0.000011917758,0.0003779978],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99768466,0.00026259216,0.00041403418,0.00028977785,0.0010202246,0.0003287265],"domain_scores_gemma":[0.99954844,0.00004053487,0.00003935364,0.00024064824,0.000051809104,0.000079209],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015876251,0.00009102766,0.00017183133,0.00013228957,0.000049970637,0.000009462335,0.00022405865,0.00007331712,0.000078346646],"category_scores_gemma":[0.000013218999,0.00007102471,0.00003651985,0.00036868505,0.00018358439,0.00009941558,0.0000994472,0.00015182944,0.00006181216],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024194185,0.00027421006,0.026739586,0.000044648812,0.000003171886,0.0000038064056,0.009199719,0.08111667,0.8802887,0.00008608917,0.000071627386,0.001929797],"study_design_scores_gemma":[0.0008269709,0.00014821795,0.1842172,0.000025839154,0.00000778889,0.0000011189355,0.00019028247,0.17515077,0.63573366,0.0028583084,0.00065297255,0.00018688019],"about_ca_topic_score_codex":0.014962222,"about_ca_topic_score_gemma":0.0033141242,"teacher_disagreement_score":0.24455507,"about_ca_system_score_codex":0.00012296425,"about_ca_system_score_gemma":0.00000828571,"threshold_uncertainty_score":0.99159724},"labels":[],"label_agreement":null},{"id":"W2169495306","doi":"10.1002/2013wr013857","title":"Improving process representation in conceptual hydrological model calibration using climate simulations","year":2014,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":39,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Polytechnique Montréal; Group for Research in Decision Analysis; Hydro-Québec","funders":"","keywords":"Hydrometeorology; Representation (politics); Evapotranspiration; Calibration; Process (computing); Computer science; Hydrological modelling; Environmental science; Water cycle; Climate model; Snow; Climate change; Hydrology (agriculture); Meteorology; Precipitation; Climatology; Mathematics; Statistics; Geography; Ecology; Geology","score_opus":0.0801450580802011,"score_gpt":0.3512497236399258,"score_spread":0.2711046655597247,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2169495306","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99351484,0.000003908601,0.0028472056,0.00044476465,0.000015059407,0.0003045769,0.0000017447761,0.000036483525,0.0028313962],"genre_scores_gemma":[0.9993115,0.0000027262809,0.00028980925,0.00010065237,0.000035199653,0.000032260712,0.000015913629,0.00001101174,0.00020091019],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9978808,0.00042066697,0.00023236126,0.00042495306,0.0004389895,0.0006022226],"domain_scores_gemma":[0.9996137,0.000091139686,0.00003052847,0.00019499064,0.000013668757,0.000055952878],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011909185,0.00010253841,0.00013191054,0.00013573318,0.00048537418,0.000055263077,0.00021983782,0.00009016668,0.00024062861],"category_scores_gemma":[0.00010543439,0.00007334592,0.000023444873,0.00024670016,0.000537167,0.00034628567,0.00053600804,0.00025796003,0.000081842874],"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":[0.0000555187,0.00004042287,0.10412218,0.0000100253965,0.0000035188257,0.0000033076587,0.006669079,0.8749609,0.013803768,0.00005710002,0.00001643725,0.00025774832],"study_design_scores_gemma":[0.00030460334,0.00005514543,0.0021203388,0.0000051038714,0.0000040376326,6.680053e-7,0.00034487667,0.9904403,0.0037829466,0.0026433163,0.00020096872,0.000097672],"about_ca_topic_score_codex":0.0004527845,"about_ca_topic_score_gemma":0.00018071423,"teacher_disagreement_score":0.115479425,"about_ca_system_score_codex":0.000080233825,"about_ca_system_score_gemma":0.0000022524296,"threshold_uncertainty_score":0.37331548},"labels":[],"label_agreement":null},{"id":"W2170709475","doi":"10.1002/2014wr016449","title":"A general analytical solution for steady flow in heterogeneous porous media","year":2015,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Groundwater flow and contamination studies","field":"Environmental Science","cited_by":7,"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":"Natural Sciences and Engineering Research Council of Canada","keywords":"Polynomial; Laplace transform; Flow (mathematics); Mathematics; Porous medium; Applied mathematics; Mathematical analysis; Matrix polynomial; Calculus (dental); Porosity; Geometry; Engineering; Geotechnical engineering","score_opus":0.09230598565458926,"score_gpt":0.3302966524817228,"score_spread":0.23799066682713355,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2170709475","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99600065,0.00006117371,0.0013499333,0.00085432065,0.00006793809,0.0003275242,0.000007159094,0.00002314726,0.0013081478],"genre_scores_gemma":[0.99026424,0.0000033404701,0.000523993,0.000060125174,0.00012421462,0.00014405116,0.00002609921,0.000015417556,0.008838527],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99764454,0.00023088562,0.00022214871,0.0003617053,0.0008311315,0.000709601],"domain_scores_gemma":[0.99947464,0.000074409785,0.000013115408,0.00020684153,0.000053178468,0.0001778088],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016135693,0.00011234671,0.0001624887,0.00014409919,0.00015949318,0.00008563441,0.0002783513,0.00007264586,0.00018100598],"category_scores_gemma":[0.00009177225,0.00007748985,0.00004354655,0.00019630576,0.00025887362,0.00011696922,0.00043814332,0.00016559086,0.00054960104],"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":[0.0020875148,0.0013381961,0.2838506,0.000100007805,0.00017354019,0.0005667082,0.17378414,0.022766856,0.029910004,0.00014600644,0.04542942,0.439847],"study_design_scores_gemma":[0.0037705123,0.0008270769,0.030627528,0.000023010787,0.000019267998,0.00004737165,0.0017939515,0.32384053,0.009982808,0.0016198633,0.62683576,0.0006123295],"about_ca_topic_score_codex":0.0010879843,"about_ca_topic_score_gemma":0.0015654571,"teacher_disagreement_score":0.58140635,"about_ca_system_score_codex":0.00034390073,"about_ca_system_score_gemma":0.0000075755565,"threshold_uncertainty_score":0.7064193},"labels":[],"label_agreement":null},{"id":"W2176917521","doi":"10.1002/2015wr017103","title":"Solar radiation as a global driver of hillslope asymmetry: Insights from an ecogeomorphic landscape evolution model","year":2015,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Geology and Paleoclimatology Research","field":"Earth and Planetary Sciences","cited_by":38,"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":"Vegetation (pathology); Northern Hemisphere; Fluvial; Latitude; Environmental science; Precipitation; Atmospheric sciences; Arid; Range (aeronautics); Geology; Physical geography; Climatology; Geomorphology; Geography; Structural basin; Meteorology","score_opus":0.04369954137409187,"score_gpt":0.2961746599341472,"score_spread":0.25247511856005533,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2176917521","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9831089,0.0011726458,0.000065769666,0.00044714243,0.0000897223,0.00024499267,0.00012224502,0.000034414035,0.014714213],"genre_scores_gemma":[0.9983266,0.000043358476,0.00015530438,0.000049040213,0.00009265107,0.0000041483363,0.0008024433,0.0000051619327,0.00052126584],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99626124,0.0012334272,0.00028132438,0.0004801057,0.0010255534,0.0007183641],"domain_scores_gemma":[0.9985708,0.00016088695,0.000050331695,0.00042648416,0.00035343267,0.00043805398],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0014052566,0.00015513397,0.00027469112,0.0003372208,0.00030178513,0.00007316601,0.00061873236,0.0003146312,0.0010416585],"category_scores_gemma":[0.00018019648,0.00010826789,0.00005329144,0.00047154864,0.0004932857,0.0003737794,0.000097927936,0.0004930704,0.0018598479],"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":[0.00045917963,0.0000510855,0.9857394,0.000012643033,0.000038321286,0.000042393065,0.0023638185,0.010191217,0.00005523355,0.000119055956,0.00031489614,0.000612766],"study_design_scores_gemma":[0.0015184788,0.00094155734,0.5563189,0.000020832525,0.000018918317,0.000033352553,0.0012655738,0.399645,0.0011691739,0.03344253,0.0053356905,0.0002900203],"about_ca_topic_score_codex":0.01073195,"about_ca_topic_score_gemma":0.0087466715,"teacher_disagreement_score":0.42942053,"about_ca_system_score_codex":0.000012484321,"about_ca_system_score_gemma":0.00017603618,"threshold_uncertainty_score":0.99987155},"labels":[],"label_agreement":null},{"id":"W2209897355","doi":"10.1002/2015wr017558","title":"A new framework for comprehensive, robust, and efficient global sensitivity analysis: 1. Theory","year":2015,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Probabilistic and Robust Engineering Design","field":"Decision Sciences","cited_by":208,"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":"University of Saskatchewan","keywords":"Sobol sequence; Sensitivity (control systems); Robustness (evolution); Computer science; Dimension (graph theory); Variance (accounting); Mathematical optimization; Econometrics; Data mining; Mathematics; Engineering","score_opus":0.2750037768540003,"score_gpt":0.4282374762467771,"score_spread":0.1532336993927768,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2209897355","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.24199821,0.00052363286,0.755773,0.0006313954,0.00009803116,0.00035417025,0.0000196232,0.00006961416,0.0005323003],"genre_scores_gemma":[0.95252246,0.0000031772677,0.045559872,0.000058255224,0.00021859043,0.000021286825,0.0000052842365,0.000014806222,0.0015962523],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9947836,0.001255872,0.0003957158,0.00074982306,0.0020667415,0.00074826274],"domain_scores_gemma":[0.99348795,0.0043254024,0.00004575657,0.0007732485,0.0007406264,0.00062701316],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.012465125,0.00018132075,0.0004460506,0.00048572247,0.00028136233,0.000554159,0.00054123806,0.00016516486,0.000043011667],"category_scores_gemma":[0.0052371384,0.00010439786,0.00015428108,0.0016577966,0.0003242805,0.000070456874,0.00052389293,0.00031966023,0.00013807841],"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":[0.0011559189,0.00013142097,0.0042735776,0.00003225809,0.00050092867,0.00007974498,0.009291753,0.91268384,0.00018295505,0.033270504,0.018361146,0.020035934],"study_design_scores_gemma":[0.0011273826,0.00036306246,0.0062596947,0.00005133601,0.00017046562,0.00003477353,0.0040138713,0.5251548,0.0003532186,0.37088597,0.09110321,0.00048220364],"about_ca_topic_score_codex":0.00016534643,"about_ca_topic_score_gemma":0.000021759159,"teacher_disagreement_score":0.71052426,"about_ca_system_score_codex":0.00010466699,"about_ca_system_score_gemma":0.00008240163,"threshold_uncertainty_score":0.6269722},"labels":[],"label_agreement":null},{"id":"W2221870291","doi":"10.1002/2015wr017559","title":"A new framework for comprehensive, robust, and efficient global sensitivity analysis: 2. Application","year":2015,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Probabilistic and Robust Engineering Design","field":"Decision Sciences","cited_by":153,"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":"Australian Research Council","keywords":"Sobol sequence; Robustness (evolution); Sensitivity (control systems); Computer science; Parameter space; Variance (accounting); Range (aeronautics); Econometrics; Data mining; Statistics; Mathematics; Monte Carlo method; Engineering","score_opus":0.25871299681721627,"score_gpt":0.4311630373920318,"score_spread":0.17245004057481556,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2221870291","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.19824684,0.0002679456,0.79986346,0.0007920573,0.000050945906,0.0004455597,0.000015280722,0.000061991486,0.0002559318],"genre_scores_gemma":[0.9435907,0.00000219686,0.055600725,0.00003596828,0.0001797608,0.000042229683,0.000009039062,0.000010600377,0.0005287971],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99607223,0.00050839735,0.0003592876,0.0007020119,0.0017917319,0.0005663468],"domain_scores_gemma":[0.99618775,0.0018159988,0.000047197344,0.00070853136,0.00074565236,0.0004948578],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0063679703,0.00014509125,0.00035000866,0.000394628,0.00023442597,0.0004326331,0.0004352805,0.00014357797,0.000011404306],"category_scores_gemma":[0.002250053,0.00008831945,0.00010674573,0.0017016476,0.00019513447,0.000062362065,0.00035734067,0.00023515108,0.00011853061],"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":[0.00039876805,0.000093074435,0.005409743,0.000023908038,0.00020854131,0.000015444457,0.004125259,0.94882643,0.00034641367,0.007943927,0.010876257,0.021732235],"study_design_scores_gemma":[0.0005078903,0.00013883422,0.0052175485,0.000016429523,0.000067900204,0.00001172692,0.0009814771,0.85447073,0.00023353683,0.058176383,0.07995549,0.00022207429],"about_ca_topic_score_codex":0.00030862092,"about_ca_topic_score_gemma":0.00003235514,"teacher_disagreement_score":0.74534386,"about_ca_system_score_codex":0.000109037945,"about_ca_system_score_gemma":0.000060215076,"threshold_uncertainty_score":0.4171891},"labels":[],"label_agreement":null},{"id":"W2252558270","doi":"10.1002/2015wr017325","title":"The atmospheric transport of iodine‐129 from <scp>F</scp>ukushima to <scp>B</scp>ritish <scp>C</scp>olumbia, <scp>C</scp>anada and its deposition and transport into groundwater","year":2015,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Radioactive contamination and transfer","field":"Environmental Science","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Environment and Climate Change Canada; University of Ottawa","funders":"U.S. Geological Survey","keywords":"Groundwater; Deposition (geology); Environmental science; Fukushima Nuclear Accident; TRACER; Aquifer; Environmental chemistry; Hydrology (agriculture); Radionuclide; Radiochemistry; Chemistry; Geology; Physics; Geomorphology; Geotechnical engineering","score_opus":0.021677586082310928,"score_gpt":0.2518984880286258,"score_spread":0.23022090194631487,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2252558270","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98182577,0.0015483362,0.00047742683,0.00034517187,0.00018139067,0.00149543,0.00012562715,0.00010570611,0.013895151],"genre_scores_gemma":[0.9786894,0.0006784906,0.0004015975,0.00027257993,0.0001842461,0.0002764118,0.00016803769,0.00013749479,0.019191746],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.992071,0.0007818939,0.0009658552,0.0015788161,0.0027591693,0.0018432628],"domain_scores_gemma":[0.9955962,0.0019528274,0.00012820869,0.00076277857,0.00029162422,0.0012683668],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0021694177,0.0006651753,0.0007589086,0.00015475806,0.0010622219,0.00049099134,0.0011648634,0.00043891955,0.00008834105],"category_scores_gemma":[0.0006493934,0.0005350946,0.00020238721,0.0010117447,0.0012297767,0.00095273845,0.00029306166,0.0009647175,0.0002697885],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014203374,0.0014093186,0.4715771,0.00053808116,0.0007834372,0.001063936,0.24377432,0.00094418606,0.23387031,0.00015740636,0.026087292,0.019652566],"study_design_scores_gemma":[0.0033338296,0.0011026247,0.42178312,0.0001814266,0.00014409861,0.00009150611,0.016964646,0.0011945394,0.12867683,0.0010041976,0.42534152,0.00018164868],"about_ca_topic_score_codex":0.015566506,"about_ca_topic_score_gemma":0.014403756,"teacher_disagreement_score":0.39925423,"about_ca_system_score_codex":0.0003989084,"about_ca_system_score_gemma":0.00006981758,"threshold_uncertainty_score":0.9997101},"labels":[],"label_agreement":null},{"id":"W2253833915","doi":"10.1002/2015wr017990","title":"Analytical solution and computer program (<i>FAST</i>) to estimate fluid fluxes from subsurface temperature profiles","year":2016,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Groundwater flow and contamination studies","field":"Environmental Science","cited_by":40,"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 Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; Killam Trusts","keywords":"Advection; Thermal conduction; Boundary value problem; Groundwater; Data assimilation; Groundwater flow; Python (programming language); Environmental science; Inversion (geology); Mechanics; Geology; Computer science; Meteorology; Geotechnical engineering; Mathematics; Thermodynamics; Aquifer; Mathematical analysis; Physics","score_opus":0.02520786787344878,"score_gpt":0.31502220001118486,"score_spread":0.2898143321377361,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2253833915","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99435127,0.000039005423,0.0009379041,0.0036326004,0.000040573013,0.0005060123,0.000014864588,0.00008439397,0.00039337273],"genre_scores_gemma":[0.9865285,0.000007125411,0.0023457792,0.000068807036,0.00010838328,0.00012235841,0.00001137803,0.00001763546,0.010790017],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9976464,0.00021724528,0.00018714981,0.0005625341,0.00073129055,0.00065541244],"domain_scores_gemma":[0.9993696,0.00009391472,0.000012720746,0.0002597231,0.00005303386,0.00021097696],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00055594323,0.00016378275,0.00017697302,0.000084338564,0.00040534898,0.000250186,0.00027158548,0.00008137223,0.00043523335],"category_scores_gemma":[0.000024674388,0.00008381994,0.000034285502,0.00019255903,0.00046375295,0.00020349803,0.00095617084,0.00015172688,0.0012211534],"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":[0.00018724723,0.00021266895,0.21507634,0.00002256049,0.00006728358,0.000040148763,0.0074141035,0.000047790458,0.41470984,0.00005608467,0.014360382,0.34780556],"study_design_scores_gemma":[0.001009459,0.0010457339,0.48766243,0.00012622846,0.000020322605,0.00001064594,0.00023099367,0.005963398,0.11493584,0.00028666176,0.3881714,0.0005368875],"about_ca_topic_score_codex":0.00041882606,"about_ca_topic_score_gemma":0.00015279549,"teacher_disagreement_score":0.373811,"about_ca_system_score_codex":0.00010068007,"about_ca_system_score_gemma":0.0000032961723,"threshold_uncertainty_score":0.9995565},"labels":[],"label_agreement":null},{"id":"W2256789493","doi":"10.1002/2015wr017660","title":"Effect of bedrock permeability on stream base flow mean transit time scaling relationships: 2. Process study of storage and release","year":2016,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":68,"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 Aberdeen; Consortium of Universities for the Advancement of Hydrologic Science; National Council for Air and Stream Improvement","keywords":"Bedrock; Mean transit time; Base flow; Hydrology (agriculture); Scaling; Alluvium; Geology; Permeability (electromagnetism); Drainage basin; Groundwater; STREAMS; Hydraulic conductivity; Soil science; Environmental science; Geomorphology; Geotechnical engineering; Soil water; Chemistry; Geometry; Mathematics; Geography","score_opus":0.025727576859986053,"score_gpt":0.2939052781298675,"score_spread":0.26817770126988144,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2256789493","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9979362,0.0000110531255,0.000011646369,0.0002988989,0.000007141906,0.0007441925,0.000007744325,0.00001857039,0.0009645753],"genre_scores_gemma":[0.99920565,0.0000047921467,0.00000880019,0.000004310011,0.000011198717,0.000046925474,0.0000019311299,0.000011731224,0.0007046796],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9968617,0.001465074,0.0002481953,0.00043840057,0.00063522847,0.00035143056],"domain_scores_gemma":[0.9989626,0.0005437047,0.000035374436,0.00034732532,0.0000232751,0.00008773949],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0034828084,0.00013458681,0.00024663107,0.00013200821,0.0003371277,0.0000105594,0.000232408,0.00006218927,0.00036510304],"category_scores_gemma":[0.00019102494,0.00006937731,0.000035634635,0.00016599946,0.00061293755,0.00012113205,0.00025820817,0.00021570433,0.000113515285],"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":[0.0032978065,0.0014255052,0.8544446,0.00049922895,0.00016542371,0.000041348532,0.091331154,0.011274761,0.02319336,0.0000021798312,0.00017278879,0.014151853],"study_design_scores_gemma":[0.01595663,0.032437116,0.48000008,0.0007727036,0.0004022591,0.000007903297,0.010388372,0.020555891,0.43532273,0.001551665,0.0013293024,0.0012753442],"about_ca_topic_score_codex":0.00017527411,"about_ca_topic_score_gemma":0.000069657515,"teacher_disagreement_score":0.41212937,"about_ca_system_score_codex":0.000050290426,"about_ca_system_score_gemma":0.00000178507,"threshold_uncertainty_score":0.39976224},"labels":[],"label_agreement":null},{"id":"W2262073134","doi":"10.1002/2015wr016929","title":"Temporal variability and memory in sediment transport in an experimental step‐pool channel","year":2015,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Sediment Transport Processes","field":"Environmental Science","cited_by":64,"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","funders":"Natural Sciences and Engineering Research Council of Canada; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; National Science Foundation","keywords":"Bed load; Flume; Sediment transport; Sediment; Hurst exponent; Grain size; Hydrology (agriculture); Soil science; Autocorrelation; Channel (broadcasting); Geology; Environmental science; Flow (mathematics); Geotechnical engineering; Geomorphology; Mechanics; Statistics; Mathematics; Physics","score_opus":0.052184380312781005,"score_gpt":0.3130069270849249,"score_spread":0.2608225467721439,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2262073134","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9961046,0.000078767494,0.000010274156,0.00035713022,0.000031220763,0.0004572191,0.0000033452325,0.000024326211,0.002933123],"genre_scores_gemma":[0.99933356,0.000005097828,0.00007721049,0.00007008238,0.000028723092,0.00011327054,0.00002509856,0.000015024535,0.00033192761],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.997241,0.00046218437,0.00030958085,0.00060102163,0.0007058088,0.00068037596],"domain_scores_gemma":[0.9993699,0.000035084642,0.000014864368,0.00026781342,0.000011173686,0.0003011176],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00397397,0.00015721437,0.00021088657,0.00016112151,0.00009880885,0.00002457283,0.0003307277,0.00014469402,0.00089942524],"category_scores_gemma":[0.000010997034,0.00011873177,0.000020097008,0.00025109336,0.00057819067,0.00038689436,0.0001422565,0.00043242174,0.00007736329],"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":[0.0005990104,0.00088238966,0.93372893,0.000029373143,0.000004781032,0.00020808788,0.053849813,0.0025800143,0.0076025086,0.0000037527525,0.000058183254,0.00045314364],"study_design_scores_gemma":[0.01329792,0.004379172,0.6646699,0.00013244846,0.000019390342,0.000053110703,0.025269676,0.021559356,0.22834764,0.002919366,0.037538517,0.0018135513],"about_ca_topic_score_codex":0.0032084284,"about_ca_topic_score_gemma":0.0018936036,"teacher_disagreement_score":0.2690591,"about_ca_system_score_codex":0.00018444855,"about_ca_system_score_gemma":0.000017413948,"threshold_uncertainty_score":0.98480755},"labels":[],"label_agreement":null},{"id":"W2264960077","doi":"10.1002/2015wr017504","title":"On the variability of the Priestley‐Taylor coefficient over water bodies","year":2015,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":60,"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 British Columbia","funders":"Biological and Environmental Research; Division of Chemical, Bioengineering, Environmental, and Transport Systems; National Oceanic and Atmospheric Administration; U.S. Department of Agriculture; Princeton University; U.S. Department of Commerce; U.S. Department of Energy; BP; National Science Foundation","keywords":"Advection; Standard deviation; Water vapor; Turbulence; Cutoff; Flux (metallurgy); Sensible heat; Gaussian; Environmental science; Mathematics; Thermodynamics; Meteorology; Atmospheric sciences; Materials science; Physics; Statistics","score_opus":0.039332144844697485,"score_gpt":0.2760367520447838,"score_spread":0.2367046072000863,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2264960077","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96970946,0.0000051490433,0.000022441802,0.0019750153,0.000069263835,0.00035865765,0.000013428734,0.000013004364,0.027833566],"genre_scores_gemma":[0.9943861,0.0000013417415,0.000013204117,0.00007513722,0.00002051245,0.00003066065,0.000005640495,0.000010679695,0.0054567447],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99715954,0.000672273,0.00020152044,0.00026314834,0.001220833,0.00048267614],"domain_scores_gemma":[0.99898005,0.00018657061,0.000022079681,0.00068494136,0.00003768763,0.00008866221],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0034457853,0.00010854124,0.0001091428,0.00003878796,0.00031607546,0.000076125005,0.00071573944,0.000065343054,0.00086278975],"category_scores_gemma":[0.00013030141,0.000036960842,0.00006221811,0.0001397163,0.0009176082,0.00005498121,0.001093418,0.00036108066,0.00051271584],"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":[0.00096688216,0.0015564796,0.51906246,0.00008990582,0.00015973327,0.000031892785,0.16137548,0.18608148,0.09752053,0.006873232,0.024177615,0.002104306],"study_design_scores_gemma":[0.0012473675,0.0006076973,0.04999197,0.00006995059,0.000034895733,0.000022004739,0.0011004418,0.082853064,0.17291296,0.047229614,0.643293,0.0006370008],"about_ca_topic_score_codex":0.0005281024,"about_ca_topic_score_gemma":0.000071461975,"teacher_disagreement_score":0.6191154,"about_ca_system_score_codex":0.00015424998,"about_ca_system_score_gemma":0.000006560637,"threshold_uncertainty_score":0.9446943},"labels":[],"label_agreement":null},{"id":"W2276221726","doi":"10.1002/2015wr016959","title":"Bootstrap rank‐ordered conditional mutual information (broCMI): A nonlinear input variable selection method for water resources modeling","year":2016,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrological Forecasting Using AI","field":"Environmental Science","cited_by":95,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McGill University","funders":"","keywords":"Mutual information; Feature selection; Selection (genetic algorithm); Rank (graph theory); Nonparametric statistics; Variable (mathematics); Estimator; Parametric statistics; Mathematics; Kernel (algebra); Computer science; Data mining; Mathematical optimization; Statistics; Artificial intelligence","score_opus":0.06181744656260131,"score_gpt":0.33426972010694683,"score_spread":0.27245227354434554,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2276221726","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.84882873,0.000004368895,0.14644936,0.0014408685,0.000049177095,0.00060740195,0.000053075702,0.00013602871,0.0024309622],"genre_scores_gemma":[0.95565796,0.0000028879276,0.04003443,0.00024856732,0.0002821654,0.00022709001,0.00017047468,0.00004095736,0.0033354838],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9960086,0.00051806297,0.00052497815,0.0005383221,0.0011681588,0.001241888],"domain_scores_gemma":[0.9989696,0.0003386693,0.00005191368,0.00027792034,0.00014598148,0.00021591866],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0035712225,0.00023662914,0.00024966584,0.00026251044,0.0008977869,0.00025172465,0.0004960865,0.00025920954,0.0026379644],"category_scores_gemma":[0.0003656853,0.00012340987,0.00009816641,0.0002919342,0.00033809978,0.00074639777,0.00047628084,0.00039737747,0.0014457215],"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":[0.0018503986,0.0002345215,0.0016000302,0.00011586387,0.00010019955,0.000006079835,0.012414561,0.43942916,0.5264231,0.00012488084,0.0037073267,0.013993846],"study_design_scores_gemma":[0.0012926706,0.0004206695,0.00005584936,0.00004306087,0.000012930351,0.00002395503,0.00006931583,0.5906819,0.0502755,0.007742576,0.34908646,0.00029509765],"about_ca_topic_score_codex":0.00066451594,"about_ca_topic_score_gemma":0.00003655797,"teacher_disagreement_score":0.47614762,"about_ca_system_score_codex":0.00028787434,"about_ca_system_score_gemma":0.000013430874,"threshold_uncertainty_score":0.9993318},"labels":[],"label_agreement":null},{"id":"W2278224929","doi":"10.1002/2015wr017446","title":"Large wood transport and jam formation in a series of flume experiments","year":2015,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Sediment Transport Processes","field":"Environmental Science","cited_by":72,"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","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Flume; Scale (ratio); Environmental science; STREAMS; Stability (learning theory); Series (stratigraphy); Hydrology (agriculture); Flow (mathematics); Geotechnical engineering; Geology; Computer science; Mathematics; Geography","score_opus":0.04774091747398113,"score_gpt":0.30359396382887727,"score_spread":0.25585304635489614,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2278224929","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9931788,0.00012058066,0.000023733124,0.00024299814,0.000009605847,0.00016246656,0.0000036597653,0.000010536919,0.0062476513],"genre_scores_gemma":[0.99899876,0.000026059379,0.00005463848,0.000021321988,0.000007509286,0.000030738964,0.00001537981,0.0000061859423,0.0008394346],"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9987506,0.00009065041,0.00018764763,0.0001735592,0.00044338388,0.00035414862],"domain_scores_gemma":[0.99975544,0.0000102635195,0.000013862707,0.00011316086,0.000013494681,0.000093763345],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009695555,0.000069197886,0.000117524345,0.00009307376,0.000069055735,0.00000912968,0.00015523631,0.000068405134,0.00052063854],"category_scores_gemma":[0.000008311235,0.000049457645,0.000013232388,0.0001556705,0.00026096427,0.0003988109,0.00007159607,0.00014461028,0.00007432519],"study_design_candidate":"bench_or_experimental","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":[0.0008844471,0.00046980756,0.6321215,0.00014674843,0.000016580741,0.000102881335,0.3046137,0.00046338353,0.06007689,0.000046153145,0.00030321672,0.000754647],"study_design_scores_gemma":[0.003844658,0.0010846504,0.07083938,0.00007767645,0.00001048743,0.000038683982,0.012119457,0.00087549194,0.7020631,0.002357585,0.20630537,0.00038345467],"about_ca_topic_score_codex":0.00024219339,"about_ca_topic_score_gemma":0.00036593695,"teacher_disagreement_score":0.6419862,"about_ca_system_score_codex":0.000030537052,"about_ca_system_score_gemma":0.00000378457,"threshold_uncertainty_score":0.5700627},"labels":[],"label_agreement":null},{"id":"W2280975768","doi":"10.1002/2015wr017259","title":"Sampling variability in estimates of flow characteristics in coarse‐bed channels: Effects of sample size","year":2016,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Sediment Transport Processes","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":false,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Sampling (signal processing); Statistics; Mathematics; Spatial variability; Sample size determination; Range (aeronautics); Shear stress; Resampling; Bed load; Spatial correlation; Soil science; Geology; Mechanics; Materials science; Sediment transport; Physics","score_opus":0.027789129767501235,"score_gpt":0.29564397930419173,"score_spread":0.2678548495366905,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2280975768","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99896234,0.00001860287,0.0003715989,0.0001479119,0.00003384858,0.00029289824,0.000016597829,0.000010347879,0.0001458755],"genre_scores_gemma":[0.9987146,0.000040114566,0.0011141583,0.000010161178,0.000013493409,0.00005879874,0.0000047635745,0.000010508635,0.000033379205],"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99798274,0.0003361064,0.00040812517,0.0003321749,0.00042368448,0.00051718595],"domain_scores_gemma":[0.9959253,0.0036862488,0.000041868352,0.00025808252,0.000022277882,0.000066213826],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0028582043,0.0001119903,0.0003176274,0.00011885844,0.00004702199,0.000007619106,0.00035144942,0.000118328615,0.0013420866],"category_scores_gemma":[0.0018247043,0.00006787965,0.00003192949,0.0002787182,0.00063106936,0.00011441416,0.00018418078,0.00020036683,0.00003576779],"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":[0.000259579,0.00028784107,0.8263825,0.00033238853,0.000008230242,0.000014927918,0.0045198053,0.00033339948,0.16066398,0.0000050861117,0.000005375986,0.007186854],"study_design_scores_gemma":[0.0014763342,0.0003666737,0.3273438,0.00041467597,0.000008291185,0.0000014570119,0.00005690958,0.0038060301,0.6566882,0.008325536,0.0012847778,0.00022728328],"about_ca_topic_score_codex":0.00094762613,"about_ca_topic_score_gemma":0.00013334105,"teacher_disagreement_score":0.49903876,"about_ca_system_score_codex":0.00006517513,"about_ca_system_score_gemma":0.000009354517,"threshold_uncertainty_score":0.99957085},"labels":[],"label_agreement":null},{"id":"W2284019159","doi":"10.1002/2015wr017302","title":"Independent component analysis of local‐scale temporal variability in sediment‐water interface temperature","year":2015,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrological Forecasting Using AI","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":false,"ca_institutions":"Environment and Climate Change Canada; University of Saskatchewan; Simon Fraser University","funders":"SFU Community Trust Endowment Fund; Natural Sciences and Engineering Research Council of Canada; Pacific Institute for Climate Solutions; Watershed Watch Salmon Society","keywords":"Environmental science; Sediment; Groundwater; Hydrology (agriculture); Scale (ratio); Sediment–water interface; Surface water; Interface (matter); Inflow; Geology; Meteorology; Environmental engineering; Geography; Geomorphology; Oceanography","score_opus":0.049109665549533985,"score_gpt":0.31891592749108755,"score_spread":0.26980626194155355,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2284019159","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99643975,0.000012349108,0.00013996859,0.000611571,0.000040610837,0.00027953566,0.000008850973,0.000029562058,0.002437785],"genre_scores_gemma":[0.9988948,7.1004246e-7,0.00018052752,0.0000391587,0.000018330491,0.000020759893,0.000036975536,0.000014941203,0.0007937908],"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99492687,0.0015526436,0.0004930287,0.0006497541,0.0015490212,0.0008287111],"domain_scores_gemma":[0.99891806,0.0001107486,0.0000366416,0.0005810063,0.000058694914,0.0002948527],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.008355326,0.0001815791,0.0004177016,0.00036085478,0.00010352762,0.00007051012,0.00068091817,0.00019885275,0.001904732],"category_scores_gemma":[0.00008224276,0.00010308866,0.00010299616,0.0009840827,0.00088158273,0.000114979324,0.0015045534,0.0007308102,0.00041111012],"study_design_candidate":"bench_or_experimental","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":[0.0004054063,0.0007054331,0.51201475,0.00002639636,0.00013192186,0.00004765782,0.019713536,0.3197187,0.1460741,0.0000016307946,0.0004988153,0.000661666],"study_design_scores_gemma":[0.0021874812,0.0011398653,0.11505038,0.000079698744,0.00015711856,0.00001378751,0.0020096512,0.15606792,0.6806302,0.0014646397,0.04033497,0.000864283],"about_ca_topic_score_codex":0.006463429,"about_ca_topic_score_gemma":0.0009234234,"teacher_disagreement_score":0.5345561,"about_ca_system_score_codex":0.00056905067,"about_ca_system_score_gemma":0.000008843702,"threshold_uncertainty_score":0.99900764},"labels":[],"label_agreement":null},{"id":"W2294266807","doi":"10.1002/2015wr017992","title":"Modeling grain size adjustments in the downstream reach following run‐of‐river development","year":2016,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Sediment Transport Processes","field":"Environmental Science","cited_by":11,"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":"Gordon and Betty Moore Foundation","keywords":"STREAMS; Sediment; Hydropower; Environmental science; Hydrology (agriculture); Channel (broadcasting); Downstream (manufacturing); Water supply; Productivity; Habitat; Water resource management; Geology; Environmental engineering; Ecology; Engineering; Geotechnical engineering; Geomorphology; Operations management","score_opus":0.035093177437767666,"score_gpt":0.28749373726470007,"score_spread":0.2524005598269324,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2294266807","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99478424,0.00005732755,0.00010635162,0.00061745616,0.000022664462,0.00024806312,0.0000012947935,0.000013604754,0.0041490183],"genre_scores_gemma":[0.9983737,0.000022480299,0.00029098685,0.00006833895,0.000014882933,0.00006517396,0.0000036163099,0.00001068367,0.0011501468],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99754053,0.0002783536,0.0002902948,0.0003446075,0.0009169067,0.0006293275],"domain_scores_gemma":[0.99947035,0.00016762254,0.00001577609,0.00027071155,0.000011231129,0.00006432627],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025271438,0.00012085863,0.00014389271,0.00008787122,0.00022879962,0.000016669806,0.0006576334,0.00008821624,0.0008090186],"category_scores_gemma":[0.000054644806,0.000054166627,0.00005065049,0.00024027016,0.000304749,0.00016845847,0.00019410811,0.00021679554,0.00032656445],"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":[0.00041920436,0.00076590216,0.67773694,0.00008037505,0.00011347366,0.00029888964,0.1554247,0.0056572002,0.11000029,0.000030359603,0.00033323115,0.049139433],"study_design_scores_gemma":[0.010788952,0.0011628085,0.35136893,0.0010802438,0.00009029664,0.00004204769,0.008232415,0.006802787,0.3404799,0.010320268,0.26750925,0.0021220911],"about_ca_topic_score_codex":0.00055006327,"about_ca_topic_score_gemma":0.00024168682,"teacher_disagreement_score":0.326368,"about_ca_system_score_codex":0.000089143476,"about_ca_system_score_gemma":0.000011990774,"threshold_uncertainty_score":0.88581866},"labels":[],"label_agreement":null},{"id":"W2296502156","doi":"10.1002/2015wr017348","title":"Use of ADCPs for suspended sediment transport monitoring: An empirical approach","year":2016,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Sediment Transport Processes","field":"Environmental Science","cited_by":53,"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; Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada; Simon Fraser University","keywords":"Silt; Acoustic Doppler current profiler; Sediment; Calibration; Backscatter (email); Sediment transport; Environmental science; Hydrology (agriculture); Flux (metallurgy); Geology; Soil science; Grain size; Remote sensing; Current (fluid); Oceanography; Geomorphology; Geotechnical engineering; Materials science; Statistics","score_opus":0.15330268008892822,"score_gpt":0.35970085524843004,"score_spread":0.20639817515950182,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2296502156","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99659044,0.000018755547,0.00076941436,0.0005582354,0.00003384407,0.00048162136,0.000017852384,0.000036325277,0.0014935407],"genre_scores_gemma":[0.99538666,0.000019886571,0.001287593,0.000022592563,0.00007681517,0.00013238686,0.000021098766,0.000023364011,0.0030296308],"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99751,0.00016228638,0.00030062237,0.00052263396,0.0007912618,0.0007131539],"domain_scores_gemma":[0.9991925,0.0001490974,0.000026507572,0.00037374708,0.0000404814,0.0002176938],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0012610684,0.00014537631,0.0002082956,0.00010217085,0.00020557977,0.000017499295,0.00047093924,0.00015035032,0.0014805164],"category_scores_gemma":[0.000021554006,0.000077967954,0.000075811215,0.00017325718,0.00064110203,0.00037317502,0.00007740414,0.00017068852,0.0000792107],"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":[0.001064206,0.00077953504,0.84073424,0.00008174997,0.000050798055,0.000016439655,0.00827884,0.0005465511,0.14280425,0.000028622042,0.00043602719,0.0051787193],"study_design_scores_gemma":[0.0014512225,0.001227334,0.07714757,0.00003758913,0.000029964986,0.0000065791733,0.0002753961,0.0003467432,0.6393046,0.0009942404,0.2788267,0.00035209098],"about_ca_topic_score_codex":0.00015917755,"about_ca_topic_score_gemma":0.000017870894,"teacher_disagreement_score":0.7635867,"about_ca_system_score_codex":0.00006343534,"about_ca_system_score_gemma":0.000010597773,"threshold_uncertainty_score":0.99943227},"labels":[],"label_agreement":null},{"id":"W2296509518","doi":"10.1002/2015wr017199","title":"Are all runoff processes the same? Numerical experiments comparing a <scp>D</scp>arcy‐<scp>R</scp>ichards solver to an overland flow‐based approach for subsurface storm runoff simulation","year":2015,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":52,"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; University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Surface runoff; Subsurface flow; Infiltration (HVAC); Hydrology (agriculture); Storm; Bedrock; Hydrograph; Geology; Vadose zone; Runoff model; Environmental science; Runoff curve number; Soil science; Soil water; Groundwater; Geomorphology; Geotechnical engineering; Meteorology","score_opus":0.13348941359936287,"score_gpt":0.35233254003153036,"score_spread":0.2188431264321675,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2296509518","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9875488,0.00014996421,0.006218418,0.00044626324,0.00007933371,0.0016873738,0.000016409509,0.000108098895,0.0037452811],"genre_scores_gemma":[0.9933392,0.000004989271,0.0014758297,0.00053179957,0.00014490586,0.0005449251,0.00008119197,0.000057058896,0.0038200973],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.9954108,0.00046995396,0.00034631244,0.0009258844,0.0014441211,0.0014029493],"domain_scores_gemma":[0.99810755,0.00063775363,0.00009448286,0.0006147041,0.00012303979,0.00042249315],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023550587,0.0003553785,0.00040014312,0.00016892514,0.0009691764,0.00028867408,0.0010081343,0.00015376272,0.000034058976],"category_scores_gemma":[0.00077568,0.00022469414,0.00008082559,0.00044735413,0.00045514654,0.00039455955,0.0010949294,0.00040155728,0.000304191],"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":[0.00019632559,0.000510217,0.14451846,0.00014718689,0.0001264725,0.000012131237,0.0643146,0.7689595,0.0011022954,0.0000023386924,0.020010369,0.0001000589],"study_design_scores_gemma":[0.0020600955,0.00072922185,0.016607309,0.00003679904,0.000051779334,0.0000020264413,0.015080015,0.47810307,0.008679215,0.00018290727,0.4782558,0.00021176922],"about_ca_topic_score_codex":0.0004774991,"about_ca_topic_score_gemma":0.0001708507,"teacher_disagreement_score":0.45824543,"about_ca_system_score_codex":0.00028230617,"about_ca_system_score_gemma":0.000017758239,"threshold_uncertainty_score":0.9162761},"labels":[],"label_agreement":null},{"id":"W2306424262","doi":"10.1002/2015wr017725","title":"Movements of the thermocline lead to high variability in benthic mixing in the nearshore of a large lake","year":2016,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Aquatic Invertebrate Ecology and Behavior","field":"Environmental Science","cited_by":30,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Ministry of the Environment, Conservation and Parks; The Scarborough Hospital; University of Toronto","funders":"","keywords":"Thermocline; Stratification (seeds); Benthic zone; Advection; Geology; Oceanography; Turbulence; Internal wave; Water column; Convective mixing; Convection; Meteorology; Geography; Physics","score_opus":0.036006937210269506,"score_gpt":0.31507353706411867,"score_spread":0.2790665998538492,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2306424262","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9961942,0.0000019979411,0.00000981383,0.0021617357,0.000021349924,0.0004752762,0.000012413576,0.000002068915,0.0011211586],"genre_scores_gemma":[0.99859667,0.0000014389457,0.000022751998,0.00014725002,0.000009800473,0.000046813646,0.0000011321076,0.0000056234485,0.0011685152],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99713475,0.0013335001,0.00028801672,0.00022380246,0.00058783614,0.00043211385],"domain_scores_gemma":[0.9991669,0.00031760155,0.000031620155,0.00044231763,0.000014549139,0.000027029113],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.007013291,0.00007094605,0.00013274876,0.000058315425,0.000088400695,0.0000069924977,0.0007673347,0.00007953064,0.004669197],"category_scores_gemma":[0.00024317123,0.000027145059,0.000033738484,0.00035519138,0.00043721,0.00005160103,0.0006612225,0.00025177223,0.00020665821],"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":[0.0000567785,0.00030976805,0.9186849,0.000010051976,0.000002888179,0.0000037310551,0.009738169,0.000021876904,0.069515735,0.000029049539,0.000115970855,0.0015111002],"study_design_scores_gemma":[0.00041124446,0.00009984122,0.9406368,0.00004473818,0.0000019025914,4.053895e-7,0.00045375543,0.00008437089,0.05596462,0.0010664202,0.001186686,0.000049223316],"about_ca_topic_score_codex":0.0007976485,"about_ca_topic_score_gemma":0.0081084175,"teacher_disagreement_score":0.021951912,"about_ca_system_score_codex":0.000073785646,"about_ca_system_score_gemma":0.0000080579475,"threshold_uncertainty_score":0.9962407},"labels":[],"label_agreement":null},{"id":"W2308701829","doi":"10.1002/2015wr017102","title":"Application of acoustic tomography to reconstruct the horizontal flow velocity field in a shallow river","year":2015,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Underwater Acoustics Research","field":"Earth and Planetary Sciences","cited_by":23,"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 Ottawa; Memorial University of Newfoundland","funders":"Japan Society for the Promotion of Science","keywords":"Tikhonov regularization; Tomography; Geology; Frequency domain; Current (fluid); Acoustics; Geodesy; Inverse problem; Physics; Optics; Mathematics","score_opus":0.04732464638082553,"score_gpt":0.2951056490606656,"score_spread":0.24778100267984007,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2308701829","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9899399,0.0000845412,0.0040622368,0.0009537583,0.00006163822,0.0007029978,0.00004110288,0.00001983522,0.004133948],"genre_scores_gemma":[0.9979561,0.00000921481,0.0016132137,0.000056505796,0.00010336298,0.000021486883,0.000030952648,0.000006982518,0.000202207],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9967387,0.0004971352,0.00029379287,0.00038717434,0.0013066707,0.0007765669],"domain_scores_gemma":[0.99849266,0.00045164383,0.000023155364,0.0004601987,0.00026854323,0.0003037826],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029645446,0.00012820419,0.00019229295,0.00061533746,0.00016514979,0.0001190024,0.0009215411,0.000108496955,0.00037097652],"category_scores_gemma":[0.00021818912,0.000074697295,0.00005492768,0.0009623948,0.00039457742,0.000119130375,0.00017228963,0.0005870337,0.0004233358],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009457254,0.000093879986,0.7223527,0.00009821541,0.000053342825,0.000057887013,0.025282372,0.06420555,0.004759863,0.0000046916934,0.0016445017,0.18050131],"study_design_scores_gemma":[0.001474866,0.00224905,0.19104995,0.00008832464,0.000016672682,0.000047636,0.0049481946,0.7464367,0.020690834,0.0062700855,0.026156584,0.0005710931],"about_ca_topic_score_codex":0.017231248,"about_ca_topic_score_gemma":0.01551117,"teacher_disagreement_score":0.6822312,"about_ca_system_score_codex":0.000029049424,"about_ca_system_score_gemma":0.00006654242,"threshold_uncertainty_score":0.98931307},"labels":[],"label_agreement":null},{"id":"W2312200890","doi":"10.1002/2015wr018096","title":"Estimation of composite hydraulic resistance in ice‐covered alluvial streams","year":2016,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":42,"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; Golder Associates (Canada); University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada; Manitoba Hydro; University of Ottawa","keywords":"Geology; Acoustic Doppler current profiler; Hydrology (agriculture); Flow resistance; STREAMS; Geomorphology; Environmental science; Current (fluid); Geotechnical engineering; Flow (mathematics); Oceanography; Mechanics","score_opus":0.021973735701484712,"score_gpt":0.26650074286678316,"score_spread":0.24452700716529846,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2312200890","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98926145,0.000065437394,0.0002282001,0.0010737787,0.00003753126,0.00015973762,0.00004101909,0.000014178274,0.009118659],"genre_scores_gemma":[0.99763143,0.00004736497,0.00049821194,0.00002706209,0.000049157894,0.0000017449504,0.00004360078,0.000004798965,0.0016966135],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99802977,0.00027493484,0.00027841894,0.00025776558,0.00064586557,0.000513271],"domain_scores_gemma":[0.99922925,0.00033987255,0.0000395679,0.00024004359,0.000057041994,0.000094202005],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009313567,0.000098323835,0.0001661151,0.00021327568,0.00013149697,0.000036455553,0.00033481757,0.000067920664,0.0008023173],"category_scores_gemma":[0.00006898566,0.000053890853,0.00003841799,0.00022227516,0.00032070046,0.0001989759,0.00004702607,0.00017260207,0.00029345384],"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":[0.0016213916,0.00013032013,0.6477194,0.00023062197,0.000048288606,0.000101320366,0.012487951,0.0050436785,0.006203665,0.00019681867,0.00034867588,0.32586786],"study_design_scores_gemma":[0.0028281412,0.0005541781,0.8799527,0.0007365915,0.0000148875415,0.00001562995,0.0011771186,0.048922267,0.013618835,0.019815883,0.03178916,0.00057456724],"about_ca_topic_score_codex":0.0031566052,"about_ca_topic_score_gemma":0.0027327437,"teacher_disagreement_score":0.3252933,"about_ca_system_score_codex":0.000018293455,"about_ca_system_score_gemma":0.00002250376,"threshold_uncertainty_score":0.8784812},"labels":[],"label_agreement":null},{"id":"W2317946159","doi":"10.1002/2014wr016124","title":"Effect of bedrock permeability on stream base flow mean transit time scaling relations: 1. A multiscale catchment intercomparison","year":2016,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":117,"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":"National Council for Air and Stream Improvement","keywords":"Bedrock; Hydrology (agriculture); Drainage basin; Geology; Base flow; Scaling; Watershed; Permeability (electromagnetism); Drainage; Geomorphology; Soil science; Environmental science; Geotechnical engineering; Geometry","score_opus":0.019790518904749244,"score_gpt":0.2940068102568548,"score_spread":0.27421629135210557,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2317946159","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9932848,0.000015625918,0.0001380655,0.0017956701,0.00002460307,0.00057304004,0.000010741442,0.000038874045,0.0041185343],"genre_scores_gemma":[0.9952015,0.000007782887,0.000081722705,0.000019177978,0.000024000932,0.00007913093,0.0000067468072,0.000014524423,0.004565394],"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9969482,0.0010268493,0.00028821698,0.0005179946,0.0006504306,0.0005682968],"domain_scores_gemma":[0.99893045,0.00048069612,0.000028708122,0.0004376368,0.000015578744,0.00010690737],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0026330263,0.00017183789,0.00026667223,0.00013043018,0.00033879344,0.000018430443,0.00034744028,0.00008419492,0.002370817],"category_scores_gemma":[0.00008089822,0.00008735097,0.000096475094,0.00013570848,0.00066757255,0.00011979798,0.00045220906,0.00022960307,0.0029109025],"study_design_candidate":"bench_or_experimental","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":[0.0045037763,0.001474779,0.5942473,0.000337617,0.00037524724,0.00006340207,0.06637626,0.022692872,0.17438404,0.000010186925,0.008536605,0.12699795],"study_design_scores_gemma":[0.005026744,0.0056814854,0.04577626,0.00048674032,0.00011453847,0.0000042844226,0.0005756702,0.028382381,0.8871877,0.00062207424,0.02540988,0.00073223223],"about_ca_topic_score_codex":0.00043290216,"about_ca_topic_score_gemma":0.00009662693,"teacher_disagreement_score":0.71280366,"about_ca_system_score_codex":0.00020239217,"about_ca_system_score_gemma":0.0000015660788,"threshold_uncertainty_score":0.9985412},"labels":[],"label_agreement":null},{"id":"W2322400614","doi":"10.1002/2015wr017346","title":"Using earth‐tide induced water pressure changes to measure in situ permeability: A comparison with long‐term pumping tests","year":2016,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Groundwater flow and contamination studies","field":"Environmental Science","cited_by":125,"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":"Boeing","keywords":"Hydrogeology; Permeability (electromagnetism); Geology; Groundwater; Water well; Groundwater flow; Magnitude (astronomy); Hydrology (agriculture); Soil science; Geotechnical engineering; Aquifer; Chemistry","score_opus":0.12277418192107382,"score_gpt":0.3403503504709832,"score_spread":0.2175761685499094,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2322400614","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99540836,0.000031981544,0.00029087096,0.002832679,0.000028787294,0.0007335436,0.000003307048,0.000040555544,0.0006299394],"genre_scores_gemma":[0.99496055,0.0000021034914,0.00007615298,0.000083125735,0.000064586064,0.00013021693,0.0000029011387,0.0000306932,0.004649693],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9961564,0.0004953492,0.0002627116,0.0006976412,0.0012693172,0.0011185933],"domain_scores_gemma":[0.9991461,0.000083728555,0.000023558743,0.00046598434,0.00008288256,0.00019776802],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015858,0.00023160262,0.00031040117,0.00026604257,0.00037450955,0.0001766681,0.0004555937,0.00009758891,0.00041189132],"category_scores_gemma":[0.00004859676,0.000107736465,0.00003452245,0.00029858397,0.0003029545,0.00027530617,0.0009750317,0.0002908175,0.0005278082],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011794633,0.00006519868,0.39603814,0.000023615656,0.000019548264,0.000022819308,0.01682437,0.00005462835,0.5734789,3.169412e-7,0.000017870396,0.013336622],"study_design_scores_gemma":[0.0007349171,0.00030827688,0.47389892,0.00020947753,0.0000104558785,0.000010027495,0.00061020773,0.00005785801,0.50515443,0.000011579046,0.01869678,0.00029703174],"about_ca_topic_score_codex":0.0014174617,"about_ca_topic_score_gemma":0.018151771,"teacher_disagreement_score":0.07786077,"about_ca_system_score_codex":0.00020675272,"about_ca_system_score_gemma":0.000007139051,"threshold_uncertainty_score":0.9997644},"labels":[],"label_agreement":null},{"id":"W2329559621","doi":"10.1002/2015wr017821","title":"Comparison of the transport and deposition of <i>Pseudomonas aeruginosa</i> under aerobic and anaerobic conditions","year":2016,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Electrokinetic Soil Remediation Techniques","field":"Engineering","cited_by":8,"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 Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Electrokinetic phenomena; Anaerobic exercise; Ionic strength; DLVO theory; X-ray photoelectron spectroscopy; Surface charge; Deposition (geology); Chemistry; Oxygen; Analytical Chemistry (journal); Chemical engineering; Materials science; Environmental chemistry; Physical chemistry; Geology; Organic chemistry","score_opus":0.02627535071965318,"score_gpt":0.3046662741599052,"score_spread":0.278390923440252,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2329559621","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9979327,0.00029122256,0.00056752714,0.00041796983,0.000013406596,0.00021658103,0.000008612556,0.000052525647,0.00049947813],"genre_scores_gemma":[0.99958545,0.00012969476,0.00014487981,0.0000060817456,0.000014289017,0.000026899615,0.000004512013,0.000016673685,0.000071520815],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9990124,0.00008886204,0.00023640838,0.00012199842,0.00032421635,0.0002160958],"domain_scores_gemma":[0.9995154,0.00013501936,0.000022981907,0.00019425573,0.00008442801,0.000047891994],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023025589,0.00008074433,0.00015631004,0.00014868395,0.00007021813,0.000008904009,0.0001347204,0.00007030796,0.00001527162],"category_scores_gemma":[0.000010870677,0.000043838452,0.000027610819,0.0001866846,0.00040283392,0.000054704255,0.0000380584,0.00014170905,0.0000014656911],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010355435,0.00001922961,0.023095159,0.000078998164,0.000021298558,3.932668e-7,0.0012200807,0.000069818234,0.974036,0.00024975758,0.00017736066,0.0010215812],"study_design_scores_gemma":[0.00023047073,0.00007974056,0.06092169,0.00008641691,0.000009070883,0.0000043105115,0.000093594586,0.0001702481,0.9370698,0.00091667066,0.0003581692,0.00005986184],"about_ca_topic_score_codex":0.000097705175,"about_ca_topic_score_gemma":0.00006579791,"teacher_disagreement_score":0.03782653,"about_ca_system_score_codex":0.000026014037,"about_ca_system_score_gemma":0.0000060256307,"threshold_uncertainty_score":0.17876802},"labels":[],"label_agreement":null},{"id":"W2339466379","doi":"10.1002/2015wr017534","title":"Valuing water resources in Switzerland using a hedonic price model","year":2016,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","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":"University of Waterloo","funders":"Federal Office of Topography swisstopo","keywords":"Recreation; Econometrics; Spatial dependence; Spatial analysis; Abundance (ecology); Environmental science; Spatial econometrics; Economics; Geography; Statistics; Ecology; Mathematics","score_opus":0.1064884894322943,"score_gpt":0.29200027420375707,"score_spread":0.18551178477146277,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2339466379","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9539687,0.00024134495,0.00058058975,0.001090952,0.00009858083,0.000280212,0.00001552779,0.00004790437,0.043676205],"genre_scores_gemma":[0.99334717,0.00020555293,0.0003751463,0.000055961158,0.00021528381,0.00003312139,0.0000044513554,0.00008302886,0.005680287],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9963802,0.00013925458,0.000849311,0.0008394071,0.00015740398,0.0016344225],"domain_scores_gemma":[0.99887615,0.00012887445,0.00008391845,0.00065473304,0.000060800685,0.00019550778],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.005078872,0.00024773448,0.0005122862,0.0011600152,0.00033910468,0.00035464086,0.0006753593,0.00021866882,0.00059590454],"category_scores_gemma":[0.00011336964,0.00015866327,0.00012874349,0.0002485813,0.00023013628,0.00043905704,0.00058987516,0.00041409332,0.0015325929],"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":[0.0023099734,0.0010671623,0.6155806,0.0008193558,0.00042811697,0.00031796552,0.17643705,0.038022354,0.13623285,0.0076516047,0.0014272333,0.019705737],"study_design_scores_gemma":[0.0062406305,0.00035395825,0.004833906,0.00057147176,0.000013822175,0.00005281814,0.0009708525,0.33613688,0.025686452,0.15411562,0.4686489,0.002374685],"about_ca_topic_score_codex":0.00093946623,"about_ca_topic_score_gemma":0.00013919424,"teacher_disagreement_score":0.6107467,"about_ca_system_score_codex":0.0005111269,"about_ca_system_score_gemma":0.0000173956,"threshold_uncertainty_score":0.9992448},"labels":[],"label_agreement":null},{"id":"W2343130473","doi":"10.1002/2015wr018209","title":"Hydrological drivers of record‐setting water level rise on Earth's largest lake system","year":2016,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":67,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Environment and Climate Change Canada","funders":"U.S. Army Corps of Engineers; National Oceanic and Atmospheric Administration; Marine Technology Society","keywords":"Surface runoff; Hydrology (agriculture); Precipitation; Environmental science; Shelf ice; Water level; Water year; Spring (device); Surface water; Period (music); Physical geography; Drainage basin; Climatology; Geology; Cryosphere; Geography; Meteorology; Ecology","score_opus":0.045593329758895754,"score_gpt":0.27525218847550437,"score_spread":0.22965885871660863,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2343130473","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9665947,0.000006090202,0.000035221965,0.0033531743,0.0000685313,0.00029294236,0.000015443327,0.000061323415,0.029572561],"genre_scores_gemma":[0.9834415,0.00002033774,0.00008258535,0.0000689255,0.00005924865,0.00004305553,0.000004953569,0.000017410426,0.016261991],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99677396,0.00060217833,0.00029404004,0.00055179844,0.0007510651,0.0010269306],"domain_scores_gemma":[0.9992462,0.00016026148,0.00003375763,0.0004182862,0.00002194012,0.000119575794],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0023116954,0.00017950778,0.00024983753,0.00016008485,0.00048231456,0.000025774289,0.0005379724,0.00013627275,0.0025566542],"category_scores_gemma":[0.00005134732,0.00007760349,0.00008066639,0.000108783184,0.0009383616,0.00012582062,0.0012649519,0.00027427386,0.00596664],"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":[0.0009883152,0.00039244205,0.7769463,0.00017913883,0.00023367546,0.00043811605,0.009467768,0.000748899,0.18785104,0.00024679446,0.0096516255,0.012855909],"study_design_scores_gemma":[0.0015154362,0.0009538937,0.048884563,0.00014996323,0.000022516873,0.000007987888,0.0005004407,0.00020939435,0.19488451,0.00044381057,0.7520205,0.00040701684],"about_ca_topic_score_codex":0.00022534955,"about_ca_topic_score_gemma":0.00022796985,"teacher_disagreement_score":0.7423688,"about_ca_system_score_codex":0.000075926255,"about_ca_system_score_gemma":0.0000014555336,"threshold_uncertainty_score":0.99835515},"labels":[],"label_agreement":null},{"id":"W2347043625","doi":"10.1002/2015wr018057","title":"Influence of vertical and lateral heat transfer on permafrost thaw, peatland landscape transition, and groundwater flow","year":2016,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":185,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McGill University; Wilfrid Laurier University; University of Calgary","funders":"","keywords":"Permafrost; Peat; Wetland; Environmental science; Plateau (mathematics); Groundwater; Hydrology (agriculture); Geology; Thermokarst; Water balance; Groundwater flow; Climate change; Ecology; Aquifer; Geotechnical engineering","score_opus":0.03591325028871115,"score_gpt":0.26413000269146025,"score_spread":0.2282167524027491,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2347043625","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9957477,0.00020148397,0.000002673928,0.0021303769,0.000017688353,0.0001573428,0.0011658163,0.0000120507475,0.00056490774],"genre_scores_gemma":[0.998919,0.00037102893,0.0000029453968,0.00012942913,0.00009273706,0.0000028680208,0.00031435967,0.0000067756287,0.00016081917],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9983347,0.00019478821,0.00018628784,0.0003238463,0.00043839499,0.0005219533],"domain_scores_gemma":[0.9993497,0.00021995403,0.0000022475274,0.00016161265,0.0000657678,0.00020071412],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005005048,0.00013983928,0.00019036401,0.00016424256,0.00020158503,0.000103740436,0.00013025044,0.00009276353,0.0034210617],"category_scores_gemma":[0.000009646986,0.00006717552,0.000031430813,0.00008349743,0.00044318315,0.00021037325,0.000022572834,0.00016279364,0.00010087185],"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":[0.00087224523,0.00003495366,0.93777096,0.000113080285,0.000020310072,0.00004976741,0.015016842,0.00011585292,0.044242304,0.0000053315507,0.00016515904,0.0015931987],"study_design_scores_gemma":[0.0012262352,0.00088960433,0.9771397,0.00016157747,0.000010986842,0.000064149695,0.0002856316,0.00090419565,0.012911665,0.00014902536,0.0060449764,0.00021225555],"about_ca_topic_score_codex":0.0018616086,"about_ca_topic_score_gemma":0.0029038445,"teacher_disagreement_score":0.03936874,"about_ca_system_score_codex":0.000002666944,"about_ca_system_score_gemma":0.0000055915216,"threshold_uncertainty_score":0.9974899},"labels":[],"label_agreement":null},{"id":"W2369661078","doi":"10.1002/2015wr018434","title":"An intercomparison of remote sensing river discharge estimation algorithms from measurements of river height, width, and slope","year":2016,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Flood Risk Assessment and Management","field":"Environmental Science","cited_by":234,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Environment and Climate Change Canada","funders":"National Oceanic and Atmospheric Administration; Centre National d’Etudes Spatiales; National Aeronautics and Space Administration","keywords":"Discharge; Satellite; Range (aeronautics); Hydrology (agriculture); Environmental science; Algorithm; Remote sensing; A priori and a posteriori; Geology; Mathematics; Geography; Geotechnical engineering; Engineering; Drainage basin","score_opus":0.058500909262349424,"score_gpt":0.32741243570997347,"score_spread":0.26891152644762406,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2369661078","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98265743,0.00003114746,0.015505624,0.00020526112,0.000034816585,0.00026774287,0.00000823544,0.000013827111,0.0012759332],"genre_scores_gemma":[0.9567101,0.000030640447,0.04280488,0.000007118129,0.000023675511,0.0000010998175,0.000009900333,0.000013940999,0.00039863287],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9977906,0.00029642542,0.00026785277,0.00035781416,0.0009525824,0.000334723],"domain_scores_gemma":[0.99939847,0.00004535445,0.0000644776,0.00035416402,0.000035896464,0.000101661186],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009977781,0.00011778005,0.00018739124,0.00011609541,0.00011027978,0.000032281492,0.00027655993,0.000048494334,0.0004504348],"category_scores_gemma":[0.000017653578,0.00006621148,0.000031848034,0.000112801004,0.00058223243,0.0003261187,0.00052498555,0.00009777865,0.00009060099],"study_design_candidate":"bench_or_experimental","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":[0.00013824074,0.00012099567,0.046273027,0.000032041567,0.00006476121,0.0000046743303,0.01173815,0.00015365113,0.34396917,0.0000033546519,0.00042803743,0.5970739],"study_design_scores_gemma":[0.0021616332,0.00065487495,0.19106098,0.0003891775,0.0000552808,0.0000015313324,0.0005359704,0.08465613,0.7050739,0.0047318805,0.010262248,0.00041639045],"about_ca_topic_score_codex":0.006157122,"about_ca_topic_score_gemma":0.00023884719,"teacher_disagreement_score":0.5966575,"about_ca_system_score_codex":0.00008397552,"about_ca_system_score_gemma":0.0000026420257,"threshold_uncertainty_score":0.93077683},"labels":[],"label_agreement":null},{"id":"W2393014624","doi":"10.1002/2015wr017910","title":"Improving the theoretical underpinnings of process‐based hydrologic models","year":2016,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":149,"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 British Columbia","funders":"Natural Environment Research Council; Sight Research UK","keywords":"Hydrological modelling; Cognitive reframing; Current (fluid); Computer science; Process (computing); Key (lock); Management science; Psychology; Geology; Engineering; Climatology","score_opus":0.036004667488190444,"score_gpt":0.28925217180053353,"score_spread":0.2532475043123431,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2393014624","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96867883,0.000019655732,0.0013309622,0.011067675,0.000013797383,0.0002732369,0.0000013026756,0.000031505657,0.018583037],"genre_scores_gemma":[0.9985971,0.000007568899,0.00004550294,0.00024287766,0.000020013755,0.000062881154,5.95431e-7,0.00001120918,0.0010122604],"study_design_codex":"bench_or_experimental","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99790686,0.0003380607,0.0001789506,0.00033662128,0.0006119126,0.00062759523],"domain_scores_gemma":[0.9993023,0.00024817494,0.00003009144,0.0003447017,0.000021126561,0.00005360537],"candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0018751407,0.00010860207,0.0001302359,0.00007117441,0.0003911325,0.0000209394,0.0006482683,0.000070255264,0.0013274819],"category_scores_gemma":[0.00008179892,0.000039806637,0.000046588677,0.0001616586,0.0035003193,0.00011952654,0.0007673712,0.00019216722,0.00032267132],"study_design_candidate":"bench_or_experimental","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":[0.003759444,0.0014200899,0.27735984,0.00063039793,0.0005271985,0.00020257769,0.08126827,0.07138699,0.46215412,0.04885958,0.010144811,0.04228669],"study_design_scores_gemma":[0.0023910129,0.00139324,0.0035994023,0.000110055575,0.00005931985,0.0000074962536,0.0014258563,0.11524954,0.2915634,0.5622965,0.021235155,0.000669015],"about_ca_topic_score_codex":0.00011599193,"about_ca_topic_score_gemma":0.000007609282,"teacher_disagreement_score":0.513437,"about_ca_system_score_codex":0.00004256695,"about_ca_system_score_gemma":0.0000034480418,"threshold_uncertainty_score":0.99958545},"labels":[],"label_agreement":null},{"id":"W2397885873","doi":"10.1002/2016wr018660","title":"Scale dependence of the hydraulic properties of a fractured aquifer estimated using transfer functions","year":2016,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Groundwater flow and contamination studies","field":"Environmental Science","cited_by":34,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Institució Catalana de Recerca i Estudis Avançats","keywords":"Aquifer; Hydraulic head; Slug test; Geology; Scale (ratio); Aquifer test; Soil science; Geotechnical engineering; Groundwater recharge; Mechanics; Groundwater; Physics","score_opus":0.07202507629648715,"score_gpt":0.2891392939657787,"score_spread":0.21711421766929156,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2397885873","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9969559,0.000059977003,0.0015918252,0.00071585947,0.00002975818,0.00022935263,0.0000051597117,0.000011306762,0.00040091132],"genre_scores_gemma":[0.9912609,0.0000048095026,0.000029208184,0.000016880478,0.00001226903,0.000023801791,3.1779953e-7,0.000009923085,0.008641899],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99824876,0.00022193567,0.00021869273,0.00021109355,0.0007811686,0.00031834532],"domain_scores_gemma":[0.99954355,0.000038466944,0.000018745284,0.00029326993,0.00006442737,0.000041561896],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00049649697,0.000088903755,0.00013520311,0.00006566985,0.00027505917,0.000019635721,0.0003581237,0.000048472073,0.00055118225],"category_scores_gemma":[0.000031131804,0.000031453783,0.00006172667,0.0002361311,0.0009234401,0.00014954433,0.0003376068,0.00010885187,0.00009151297],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000518918,0.0000476845,0.052200504,0.000017311566,0.000015990807,5.7526273e-7,0.0062811025,0.00012309544,0.9322728,6.9279565e-7,0.000042055723,0.008946317],"study_design_scores_gemma":[0.0002671433,0.00004949595,0.062321182,0.00010636659,0.000010830846,0.0000033360557,0.00038909828,0.00029023425,0.9270527,0.000031944703,0.009403967,0.00007372532],"about_ca_topic_score_codex":0.0012868348,"about_ca_topic_score_gemma":0.00025912144,"teacher_disagreement_score":0.010120676,"about_ca_system_score_codex":0.00006698262,"about_ca_system_score_gemma":0.0000073616984,"threshold_uncertainty_score":0.6035059},"labels":[],"label_agreement":null},{"id":"W2404916517","doi":"10.1002/2015wr018439","title":"Beyond the SCS‐CN method: A theoretical framework for spatially lumped rainfall‐runoff response","year":2016,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":115,"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":"Division of Chemical, Bioengineering, Environmental, and Transport Systems; Agricultural Research Service; U.S. Department of Agriculture; National Science Foundation","keywords":"Surface runoff; Runoff curve number; Watershed; Runoff model; Environmental science; Hydrology (agriculture); Infiltration (HVAC); Soil science; Vflo; Antecedent moisture; Computer science; Geology; Geography; Meteorology; Geotechnical engineering; Ecology","score_opus":0.029802305552612905,"score_gpt":0.3450760533761294,"score_spread":0.31527374782351647,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2404916517","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8433437,0.000035512232,0.033126254,0.10890232,0.00014815241,0.0013144597,0.000014669636,0.00007918737,0.013035783],"genre_scores_gemma":[0.9792167,0.00002766848,0.0061963773,0.001289499,0.00018035245,0.00044003426,0.000002514201,0.00003744807,0.012609397],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.99506813,0.0021184045,0.00026389147,0.0006040857,0.0007930325,0.0011524559],"domain_scores_gemma":[0.99533826,0.0037815406,0.000023594923,0.0006855496,0.000033452143,0.00013758047],"candidate_categories":["sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.010415192,0.00019717832,0.00021856668,0.00011559291,0.0010890542,0.00009685973,0.0010074117,0.00017144735,0.0044536656],"category_scores_gemma":[0.0012556786,0.00008098743,0.00011661294,0.0002140182,0.0028149206,0.000111329085,0.0016129783,0.00037205534,0.0015415311],"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":[0.048258793,0.0009286704,0.035662595,0.00017289727,0.0012683152,0.00031505225,0.14066507,0.0007339528,0.29929322,0.21822579,0.12052089,0.13395475],"study_design_scores_gemma":[0.00096501375,0.00060150994,0.0043404377,0.000033276927,0.000029472205,0.00000543029,0.00040013427,0.0004591911,0.021884257,0.3782902,0.5926948,0.00029627327],"about_ca_topic_score_codex":0.00007519629,"about_ca_topic_score_gemma":0.000033979748,"teacher_disagreement_score":0.47217393,"about_ca_system_score_codex":0.000103424056,"about_ca_system_score_gemma":0.000008150047,"threshold_uncertainty_score":0.99989885},"labels":[],"label_agreement":null},{"id":"W2409488586","doi":"10.1002/2015wr017537","title":"Dynamic groundwater flows and geochemistry in a sandy nearshore aquifer over a wave event","year":2016,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Groundwater and Isotope Geochemistry","field":"Earth and Planetary Sciences","cited_by":39,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Aquifer; Groundwater; Geology; Groundwater flow; Hydrology (agriculture); Submarine groundwater discharge; Forcing (mathematics); Sediment; Environmental science; Soil science; Geomorphology; Atmospheric sciences; Geotechnical engineering","score_opus":0.022442226824838804,"score_gpt":0.26503881374783905,"score_spread":0.24259658692300023,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2409488586","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9938806,0.00038183303,0.000010324097,0.00078809675,0.000049218226,0.00022592623,0.000032737626,0.000029359897,0.0046018614],"genre_scores_gemma":[0.99214435,0.00009650812,0.000056547866,0.000048988557,0.00009117237,0.0000128113,0.000069627866,0.000011427012,0.007468545],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9970383,0.00019763756,0.00030814955,0.0006310462,0.0007007754,0.0011240669],"domain_scores_gemma":[0.99911845,0.0001287506,0.000019972915,0.00040797863,0.000058778838,0.000266097],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0011128589,0.00022504343,0.00023862434,0.000192118,0.00019874232,0.00023729174,0.00033542092,0.00017359383,0.007030934],"category_scores_gemma":[0.00003704413,0.00011682676,0.00006261867,0.00017541199,0.00030953035,0.00023877475,0.0001706788,0.00038650408,0.00038295554],"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":[0.0007069034,0.00014089968,0.76905286,0.00028221728,0.0000666753,0.0006273083,0.007447433,0.000030819116,0.15578511,0.0000023147522,0.00096503634,0.064892404],"study_design_scores_gemma":[0.0035484668,0.00049319566,0.7872829,0.00044723903,0.000016236554,0.0003155064,0.0010980408,0.0108456565,0.06404395,0.0039816843,0.12681788,0.0011092463],"about_ca_topic_score_codex":0.002409059,"about_ca_topic_score_gemma":0.0025084554,"teacher_disagreement_score":0.12585285,"about_ca_system_score_codex":0.000034860248,"about_ca_system_score_gemma":0.000022828948,"threshold_uncertainty_score":0.99387676},"labels":[],"label_agreement":null},{"id":"W2413145854","doi":"10.1002/2015wr018014","title":"Cost of riparian buffer zones: A comparison of hydrologically adapted site‐specific riparian buffers with traditional fixed widths","year":2016,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Soil and Water Nutrient Dynamics","field":"Environmental Science","cited_by":68,"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 British Columbia","funders":"Energimyndigheten; VINNOVA","keywords":"Riparian buffer; Buffer zone; Riparian zone; Biogeochemical cycle; Environmental science; Hydrology (agriculture); Groundwater; Wetland; Buffer strip; Soil science; Ecology; Geology; Water quality; Habitat; Geotechnical engineering","score_opus":0.10869928993747367,"score_gpt":0.3006255733205609,"score_spread":0.1919262833830872,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2413145854","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9916663,0.000029601457,0.00049882795,0.0010096753,0.000035917736,0.00047697016,0.00008090677,0.00003398672,0.006167794],"genre_scores_gemma":[0.998355,0.000025186257,0.0005613672,0.000023192462,0.000047825943,0.00006175064,0.000053397307,0.00002660052,0.00084573706],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9962093,0.00041243248,0.00051190914,0.0005567871,0.0015385557,0.000770994],"domain_scores_gemma":[0.9987544,0.0003038919,0.00010612073,0.00051201985,0.00007711393,0.00024649556],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008931083,0.00022224928,0.000421793,0.00018547772,0.00020447922,0.00004003586,0.00067170826,0.00016058693,0.0017015048],"category_scores_gemma":[0.000036912657,0.000111398535,0.00009302889,0.00037307764,0.0017231915,0.00014770136,0.00032803178,0.0002979545,0.0003475181],"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":[0.002582791,0.0012248459,0.9268795,0.00004179643,0.00007963831,0.000036899834,0.008367977,0.0012267716,0.05106411,0.0002349013,0.0026350531,0.0056256596],"study_design_scores_gemma":[0.013415444,0.008184995,0.5726105,0.0006056078,0.00008492872,0.000064547865,0.0025488876,0.010058843,0.13292894,0.013741374,0.244092,0.0016639478],"about_ca_topic_score_codex":0.0004974824,"about_ca_topic_score_gemma":0.00011213297,"teacher_disagreement_score":0.35426906,"about_ca_system_score_codex":0.00015606754,"about_ca_system_score_gemma":0.000011195376,"threshold_uncertainty_score":0.9992111},"labels":[],"label_agreement":null},{"id":"W2465869562","doi":"10.1002/2015wr018389","title":"A new device for characterizing fracture networks and measuring groundwater and contaminant fluxes in fractured rock aquifers","year":2016,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Groundwater flow and contamination studies","field":"Environmental Science","cited_by":26,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Aquifer; Fracture (geology); Groundwater; Groundwater flow; Borehole; Geology; Rock mass classification; Flux (metallurgy); Geotechnical engineering; Soil science; Mineralogy; Materials science","score_opus":0.03555988492887608,"score_gpt":0.2761771580984749,"score_spread":0.2406172731695988,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2465869562","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9830023,0.0003767224,0.012612945,0.0033690727,0.000039124236,0.00048808724,0.0000017939705,0.000022534776,0.0000874181],"genre_scores_gemma":[0.9916273,0.00008898601,0.00012403673,0.0002478052,0.00011324182,0.00010133345,0.000003857038,0.00002494869,0.0076685213],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9978922,0.00016316403,0.0002454997,0.0005204236,0.00042170283,0.0007570037],"domain_scores_gemma":[0.9993542,0.0002318533,0.000031869495,0.0001833299,0.00002858765,0.00017017835],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009679124,0.00019459383,0.0002454548,0.00013279894,0.00035908155,0.00020046282,0.0002033336,0.00011702165,0.00017275356],"category_scores_gemma":[0.0000437833,0.000103716135,0.00003248019,0.00010596379,0.00013943433,0.00039051214,0.00049489684,0.00020985209,0.00003896086],"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":[0.0007367914,0.000096908254,0.44015595,0.0001091852,0.000089466,0.000049426566,0.038779955,0.00012500632,0.2675619,0.000009863234,0.0018433741,0.25044218],"study_design_scores_gemma":[0.00200528,0.0002477984,0.42276195,0.00016896956,0.000012870385,0.000013977732,0.0008406132,0.000717732,0.031105967,0.00014977525,0.54159755,0.00037751213],"about_ca_topic_score_codex":0.0011596336,"about_ca_topic_score_gemma":0.00096891006,"teacher_disagreement_score":0.53975415,"about_ca_system_score_codex":0.00012712886,"about_ca_system_score_gemma":0.0000042840657,"threshold_uncertainty_score":0.42294213},"labels":[],"label_agreement":null},{"id":"W2466616368","doi":"10.1002/2016wr018942","title":"Structural controls on anomalous transport in fractured porous rock","year":2016,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Groundwater flow and contamination studies","field":"Environmental Science","cited_by":48,"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":"CMG Reservoir Simulation Foundation","keywords":"Continuous-time random walk; TRACER; Probability density function; Permeability (electromagnetism); Porous medium; Geology; Flow (mathematics); Outcrop; Histogram; Statistical physics; Porosity; Random walk; Physics; Mechanics; Mathematics; Geotechnical engineering; Statistics; Chemistry; Geomorphology; Computer science; Image (mathematics)","score_opus":0.02521708074279486,"score_gpt":0.27949354977588664,"score_spread":0.25427646903309176,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2466616368","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9941899,0.00003171898,0.000079133875,0.0016557324,0.00004020629,0.0002907669,0.000007235018,0.000029469518,0.0036758354],"genre_scores_gemma":[0.9779033,0.000005156443,0.000008725153,0.00012534046,0.00005159386,0.000058092282,0.0000040289024,0.000015751188,0.021828031],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9976296,0.00019889581,0.0002274538,0.0004127928,0.0008371538,0.0006941369],"domain_scores_gemma":[0.99948984,0.000105221196,0.000018462817,0.00026912606,0.000020211433,0.000097127595],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00057802483,0.00014636906,0.00018548794,0.00013610364,0.00021354108,0.000039550734,0.00035125046,0.00007524543,0.0019989237],"category_scores_gemma":[0.000023156043,0.00007091021,0.000044481727,0.0001475346,0.00017673196,0.00015622505,0.00014352362,0.00020905165,0.0015201623],"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":[0.0006512686,0.00011060028,0.8128215,0.000011478179,0.00003179697,0.0002819812,0.017331703,0.00024461318,0.09046184,0.000029142298,0.00070214726,0.07732195],"study_design_scores_gemma":[0.0014856692,0.00026906282,0.8382974,0.000025037561,0.0000026491227,0.0000064265864,0.0002126735,0.00006989511,0.015109044,0.00028921265,0.14402834,0.00020457544],"about_ca_topic_score_codex":0.0007403222,"about_ca_topic_score_gemma":0.000885719,"teacher_disagreement_score":0.1433262,"about_ca_system_score_codex":0.0002055147,"about_ca_system_score_gemma":0.00000317485,"threshold_uncertainty_score":0.99925727},"labels":[],"label_agreement":null},{"id":"W2474992911","doi":"10.1002/2016wr018686","title":"Three‐dimensional numerical simulations of methane gas migration from decommissioned hydrocarbon production wells into shallow aquifers","year":2016,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Methane Hydrates and Related Phenomena","field":"Environmental Science","cited_by":51,"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; Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada; Environment and Climate Change Canada; Université Laval","keywords":"Methane; Aquifer; Plume; Groundwater; Geology; Anaerobic oxidation of methane; Hydrocarbon; Dissolution; Environmental science; Soil science; Hydrology (agriculture); Geotechnical engineering; Chemistry","score_opus":0.03012115295936672,"score_gpt":0.2927973110313513,"score_spread":0.2626761580719846,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2474992911","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99369717,0.000092637456,0.0003404453,0.0047928602,0.00009390927,0.00033740874,0.000006636257,0.00002862154,0.00061033363],"genre_scores_gemma":[0.9970962,0.000024560377,0.0011404343,0.000019734018,0.0001055989,0.000018235132,0.000036098263,0.00002475989,0.0015343863],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99704343,0.0004307354,0.00037799074,0.00054749264,0.0011331991,0.00046715137],"domain_scores_gemma":[0.99897265,0.00024905486,0.00006807248,0.00044854725,0.00004809891,0.00021359394],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009952702,0.00015925885,0.0002136375,0.00015737394,0.00020733406,0.000024273171,0.0003154419,0.00014097898,0.0058085397],"category_scores_gemma":[0.00013502229,0.000083669074,0.00007236813,0.00037617344,0.00036766383,0.00018933172,0.0003681078,0.0002593027,0.000738456],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024959526,0.0001542412,0.016025469,0.0000074994423,0.000039991468,0.000005025878,0.0022433624,0.017819133,0.957173,0.0000040370146,0.0004908809,0.005787783],"study_design_scores_gemma":[0.0013045496,0.000521914,0.013427371,0.00016739093,0.00004353064,0.0000065265062,0.00017461178,0.07060851,0.8452063,0.02722542,0.040819075,0.000494778],"about_ca_topic_score_codex":0.005300457,"about_ca_topic_score_gemma":0.0004357024,"teacher_disagreement_score":0.11196666,"about_ca_system_score_codex":0.00015870252,"about_ca_system_score_gemma":0.000010885863,"threshold_uncertainty_score":0.99510026},"labels":[],"label_agreement":null},{"id":"W2478368722","doi":"10.1002/2016wr018760","title":"Testing the ability of a semidistributed hydrological model to simulate contributing area","year":2016,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":58,"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","funders":"Environment and Climate Change Canada; Natural Sciences and Engineering Research Council of Canada; Centre National d’Etudes Spatiales; University of Saskatchewan","keywords":"Streamflow; Environmental science; Replicate; Drainage basin; Watershed; Hydrology (agriculture); Surface runoff; Geology; Geography; Computer science; Ecology; Statistics","score_opus":0.0928954947327634,"score_gpt":0.3168061337843032,"score_spread":0.22391063905153982,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2478368722","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98729104,0.000007604382,0.0010459416,0.0074496493,0.000010173181,0.00041094326,0.000015071786,0.00003764139,0.003731958],"genre_scores_gemma":[0.99918854,0.000001980442,0.00010199118,0.00013925432,0.000017134098,0.000048093985,0.0000017058,0.00000724598,0.000494024],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9975019,0.00038834568,0.00026462087,0.00041024908,0.0005300201,0.0009048336],"domain_scores_gemma":[0.99861014,0.00080135546,0.000031618274,0.0004098408,0.000047679125,0.00009936333],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003936412,0.000120372446,0.0001865626,0.00004664863,0.0005735836,0.000021301224,0.000581679,0.00007111335,0.00030341808],"category_scores_gemma":[0.0010732138,0.000047670266,0.00004678976,0.00027653138,0.0009322073,0.00006690725,0.0022265527,0.00020031516,0.00032912416],"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":[0.00032221936,0.00011782234,0.35995945,0.000017147806,0.000052451334,0.000018412133,0.0042786696,0.0903746,0.53973794,0.000030243433,0.0012777896,0.0038132314],"study_design_scores_gemma":[0.0031732398,0.0015899134,0.43183,0.0001866653,0.00007101806,0.000011627548,0.0007500047,0.27512696,0.18508267,0.040178493,0.060969055,0.0010303824],"about_ca_topic_score_codex":0.00018902033,"about_ca_topic_score_gemma":0.000015283224,"teacher_disagreement_score":0.35465527,"about_ca_system_score_codex":0.000098296696,"about_ca_system_score_gemma":0.0000024939939,"threshold_uncertainty_score":0.4411599},"labels":[],"label_agreement":null},{"id":"W2492179187","doi":"10.1002/2016wr019047","title":"Fate and transport of dissolved methane and ethane in cretaceous shales of the Williston Basin, Canada","year":2016,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":23,"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 Windsor; University of Saskatchewan","funders":"","keywords":"Oil shale; Geology; Methane; TRACER; Cretaceous; Fractionation; Isotope fractionation; Radiogenic nuclide; Geochemistry; Isotopes of carbon; Groundwater; δ13C; Structural basin; Stable isotope ratio; Mineralogy; Geomorphology; Total organic carbon; Environmental chemistry; Paleontology; Chemistry; Mantle (geology)","score_opus":0.01384589283766743,"score_gpt":0.2331536107876564,"score_spread":0.21930771794998896,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2492179187","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9983777,0.000119730124,0.00002270647,0.00077554124,0.000009474013,0.00016003131,0.000008729236,0.00000196515,0.0005241418],"genre_scores_gemma":[0.99725455,0.00020188867,0.00014910553,0.000020851607,0.0000036290505,0.000005938077,7.4189285e-7,0.000010154515,0.0023531467],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986174,0.00013937449,0.00019006694,0.00022648303,0.00052337546,0.0003033043],"domain_scores_gemma":[0.9995812,0.000091431466,0.000031053227,0.00021254117,0.000004144263,0.00007959605],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00053288636,0.00008847224,0.00016166159,0.000010127458,0.00003452207,0.0000031706124,0.00022121448,0.00004771703,0.00019647529],"category_scores_gemma":[0.000020417785,0.000041883373,0.000020142044,0.00010702306,0.0011269085,0.000052486135,0.0002659311,0.00011727588,0.0000011505667],"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":[0.00008658326,0.000027455111,0.87455344,0.000034636523,0.000007929019,0.000011042377,0.002063563,0.00039051037,0.11760175,0.0000027655353,0.000013059493,0.0052072844],"study_design_scores_gemma":[0.00046361776,0.0000791521,0.9442152,0.000059002534,0.0000061793066,0.0000061115506,0.00051098526,0.00018840077,0.04642168,0.00014057304,0.007803846,0.00010530132],"about_ca_topic_score_codex":0.2648025,"about_ca_topic_score_gemma":0.15952468,"teacher_disagreement_score":0.105277784,"about_ca_system_score_codex":0.00011848978,"about_ca_system_score_gemma":0.000009332285,"threshold_uncertainty_score":0.8558118},"labels":[],"label_agreement":null},{"id":"W2494162515","doi":"10.1002/2016wr018608","title":"Using stochastic dual dynamic programming in problems with multiple near‐optimal solutions","year":2016,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Water resources management and optimization","field":"Engineering","cited_by":25,"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":"","keywords":"Mathematical optimization; Dynamic programming; State space; Stochastic programming; Computer science; Dual (grammatical number); Mathematics; Statistics","score_opus":0.05158835532094909,"score_gpt":0.27668177394705984,"score_spread":0.22509341862611076,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2494162515","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.938293,0.00009889914,0.060154002,0.00014560287,0.000033718254,0.0007839873,0.0000044791636,0.00024084422,0.00024550638],"genre_scores_gemma":[0.9949842,0.000007566795,0.0040205508,0.0000022156212,0.00004753103,0.00013072052,0.000015912618,0.0000780267,0.00071326125],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9975348,0.000119280536,0.00026258492,0.00034087186,0.0005565087,0.0011859526],"domain_scores_gemma":[0.9994367,0.000068188245,0.000017190463,0.0002845316,0.00007908587,0.00011433158],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00067508157,0.00019925702,0.00017707063,0.0005111737,0.00030160014,0.0002852568,0.00024576113,0.00008514309,0.000053214193],"category_scores_gemma":[0.000025003308,0.00011606844,0.000035118035,0.0004740412,0.00025100657,0.0002880841,0.00022490165,0.00028391145,0.000084248735],"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":[0.00006554716,0.00004757728,0.0022668247,0.00009489368,0.00003717938,0.00002864959,0.004322967,0.9818319,0.0065344833,0.000005599483,0.000018435328,0.0047459253],"study_design_scores_gemma":[0.001282593,0.00013161245,0.00093595777,0.00029184856,0.000010577409,0.000012128531,0.000305296,0.9868024,0.00047503592,0.0000319934,0.009414178,0.00030636726],"about_ca_topic_score_codex":0.00016670035,"about_ca_topic_score_gemma":0.00040082785,"teacher_disagreement_score":0.05669125,"about_ca_system_score_codex":0.00024270086,"about_ca_system_score_gemma":0.000010032305,"threshold_uncertainty_score":0.47331336},"labels":[],"label_agreement":null},{"id":"W2495208047","doi":"10.1002/2015wr018040","title":"On the choice of analogue fluids in CO<sub>2</sub> convective dissolution experiments","year":2016,"lang":"en","type":"article","venue":"Water Resources Research","topic":"CO2 Sequestration and Geologic Interactions","field":"Environmental Science","cited_by":29,"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 Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Convective mixing; Convection; Dissolution; Convective instability; Buoyancy; Context (archaeology); Instability; Mixing (physics); Free convective layer; Thermodynamics; Chemistry; Materials science; Chemical physics; Mechanics; Physics; Geology; Physical chemistry","score_opus":0.06381390366569344,"score_gpt":0.353454719415082,"score_spread":0.28964081574938855,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2495208047","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9810151,0.000004814594,0.000034801447,0.002283509,0.00002752711,0.00022751772,0.000005393454,0.0000093427925,0.016391993],"genre_scores_gemma":[0.99860406,0.000008722604,0.0000030333897,0.00006586007,0.000019496461,0.0000656475,0.0000038006135,0.0000049312475,0.0012244612],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99839985,0.00044955924,0.00016145676,0.00022106414,0.00045650965,0.0003115345],"domain_scores_gemma":[0.9992778,0.00040020354,0.000021859567,0.00022879397,0.000023509167,0.000047860816],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00073420774,0.00007099264,0.00007662058,0.00009379124,0.00015451717,0.00002034894,0.00022873023,0.00004865138,0.0022734245],"category_scores_gemma":[0.0001914126,0.000032220985,0.00003165836,0.00017562832,0.00048914884,0.00010232261,0.0001410008,0.00017808878,0.0010981053],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007681848,0.000099691504,0.014453404,0.0000013756822,0.000005521539,0.0000032195546,0.0025416745,0.000037233276,0.9799372,0.00028033348,0.0015879285,0.0009755853],"study_design_scores_gemma":[0.0002470533,0.00020140062,0.06236057,0.000027362372,8.1043885e-7,0.0000012979077,0.00038975378,0.000117437,0.92480606,0.0010023174,0.010782638,0.00006327847],"about_ca_topic_score_codex":0.000712667,"about_ca_topic_score_gemma":0.0005527672,"teacher_disagreement_score":0.055131134,"about_ca_system_score_codex":0.0001991421,"about_ca_system_score_gemma":0.0000045520446,"threshold_uncertainty_score":0.9996797},"labels":[],"label_agreement":null},{"id":"W2496182531","doi":"10.1002/2015wr018364","title":"Interactions among hydraulic conductivity distributions, subsurface topography, and transport thresholds revealed by a multitracer hillslope irrigation experiment","year":2016,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Groundwater flow and contamination studies","field":"Environmental Science","cited_by":39,"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":"","keywords":"Interflow; Hydraulic conductivity; Hydrology (agriculture); Loam; Geology; Soil science; Throughflow; Interception; Irrigation; Water flow; Environmental science; Macropore; Soil water; Groundwater; Chemistry; Geotechnical engineering","score_opus":0.02773412865678652,"score_gpt":0.29401785923719687,"score_spread":0.2662837305804103,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2496182531","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9945459,0.00012304551,0.001257039,0.0021831945,0.000049171013,0.00040751198,0.000047267255,0.00004784613,0.0013390271],"genre_scores_gemma":[0.98640764,0.00004543478,0.00004596308,0.000021193375,0.000024135095,0.0001879786,0.000031913216,0.000014267417,0.013221486],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9979284,0.0002456979,0.00023937633,0.00048939034,0.0006029085,0.00049423403],"domain_scores_gemma":[0.99940526,0.00009061927,0.00003227468,0.00027117482,0.000047179048,0.00015349896],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000728551,0.00016081083,0.00016344768,0.00008497895,0.0006063147,0.0000776252,0.00019219889,0.00006396199,0.0010694583],"category_scores_gemma":[0.000017989367,0.00009418397,0.00005825881,0.00020793646,0.0008910812,0.00054294785,0.00021020594,0.00019193905,0.00016657247],"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":[0.000056050176,0.00017268187,0.56475365,0.00000962069,0.000041667397,0.0000068905224,0.0058587776,0.0000047706676,0.4167308,0.000018427281,0.0029574018,0.009389273],"study_design_scores_gemma":[0.00076091225,0.00010368998,0.5210882,0.000042984546,0.000012864343,0.00000676377,0.00090045086,0.000050654493,0.18025582,0.00014200502,0.29636338,0.0002723206],"about_ca_topic_score_codex":0.0017150094,"about_ca_topic_score_gemma":0.0007480748,"teacher_disagreement_score":0.29340598,"about_ca_system_score_codex":0.00018875161,"about_ca_system_score_gemma":0.0000029271882,"threshold_uncertainty_score":0.9998437},"labels":[],"label_agreement":null},{"id":"W2506073709","doi":"10.1002/2016wr018607","title":"Terrestrial contribution to the heterogeneity in hydrological changes under global warming","year":2016,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":76,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Pacific Institute for Climate Solutions; University of Victoria","funders":"","keywords":"Water cycle; Environmental science; Precipitation; Evapotranspiration; Coupled model intercomparison project; Climate change; Surface runoff; Streamflow; Global warming; Climatology; Climate model; Drainage basin; Water resources; Atmospheric sciences; Meteorology; Geography; Ecology; Geology","score_opus":0.05795025472925717,"score_gpt":0.3290183499061109,"score_spread":0.2710680951768537,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2506073709","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9428098,0.000019226813,0.00014310559,0.055341396,0.00007066383,0.00041967453,0.0000044104318,0.000024284273,0.0011674188],"genre_scores_gemma":[0.9986683,0.000019192712,0.00000874683,0.0005912696,0.00011456375,0.000111137415,0.000001935559,0.000004671941,0.00048015133],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9975614,0.0006026923,0.00014091101,0.0003999718,0.00047377485,0.0008212673],"domain_scores_gemma":[0.9995278,0.00010807533,0.000013042073,0.00025766142,0.000006470282,0.0000869538],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0021092675,0.00010970644,0.00012825998,0.00005531235,0.00037088632,0.000037373615,0.00047675864,0.00008328737,0.000362331],"category_scores_gemma":[0.00010679467,0.000044424694,0.00003138161,0.00022282297,0.00047894637,0.000066001565,0.0014262643,0.00014977498,0.001756008],"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":[0.0017936875,0.00033024087,0.91980875,0.000008191789,0.00010131515,0.00022016709,0.0039217216,0.0035761418,0.03816557,0.00027921636,0.008268794,0.023526235],"study_design_scores_gemma":[0.00196284,0.00076487684,0.27900597,0.000031794363,0.000010921667,0.000011643711,0.00018644502,0.00025620934,0.02100688,0.0061486172,0.69028217,0.00033164286],"about_ca_topic_score_codex":0.0005535685,"about_ca_topic_score_gemma":0.0036519857,"teacher_disagreement_score":0.6820134,"about_ca_system_score_codex":0.00024985336,"about_ca_system_score_gemma":0.0000013888169,"threshold_uncertainty_score":0.99902123},"labels":[],"label_agreement":null},{"id":"W2509201184","doi":"10.1029/2019wr026058","title":"ECOSTRESS: NASA's Next Generation Mission to Measure Evapotranspiration From the International Space Station","year":2020,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Geophysics and Gravity Measurements","field":"Earth and Planetary Sciences","cited_by":39,"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; University of Alberta; McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada; Inter-American Institute for Global Change Research; Israel Science Foundation; Natural Environment Research Council; King Abdullah University of Science and Technology; Sight Research UK; Agence Nationale de la Recherche; Wisconsin Potato and Vegetable Growers Association; Wisconsin Department of Natural Resources; Institut de Recherche pour le Développement; National Research Foundation of Korea; European Regional Development Fund; U.S. Department of Energy; Korea Forest Service; National Science Foundation","keywords":"International Space Station; Measure (data warehouse); Remote sensing; Meteorology; Environmental science; Evapotranspiration; Space (punctuation); Geography; Computer science; Aeronautics; Engineering","score_opus":0.22109405312151675,"score_gpt":0.3078527181539213,"score_spread":0.08675866503240454,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2509201184","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96735674,0.00010661894,0.00020204112,0.030796198,0.00015947333,0.00034559803,0.00011847907,0.000020009222,0.000894823],"genre_scores_gemma":[0.9970831,0.000013836328,0.00016144829,0.0009154879,0.00079590024,0.0000033872998,0.00085605524,0.000005367443,0.00016538372],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.99742126,0.00032587236,0.00016645537,0.00033660387,0.0014539049,0.00029590246],"domain_scores_gemma":[0.9992863,0.00007361175,0.000023888528,0.00017362868,0.0002448832,0.00019766684],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0007868055,0.0001013218,0.000082274244,0.000056890553,0.00040831565,0.000557899,0.00047076688,0.00005006517,0.0013429931],"category_scores_gemma":[0.00011814254,0.000059612317,0.000037680355,0.00021017739,0.000034923734,0.0002486726,0.000033671713,0.00025310012,0.0011838169],"study_design_candidate":"bench_or_experimental","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":[0.0006424909,0.000063252395,0.17558067,0.000023847882,0.00010323615,0.000016678356,0.04315185,0.041714206,0.607856,0.000022527918,0.024912953,0.10591231],"study_design_scores_gemma":[0.001042686,0.0006139686,0.20846286,0.00008134971,0.000021590704,9.679162e-7,0.0015427496,0.15245922,0.10886446,0.0009633237,0.5255034,0.00044342884],"about_ca_topic_score_codex":0.006320819,"about_ca_topic_score_gemma":0.0028336793,"teacher_disagreement_score":0.50059044,"about_ca_system_score_codex":0.000012010507,"about_ca_system_score_gemma":0.000023660024,"threshold_uncertainty_score":0.99959385},"labels":[],"label_agreement":null},{"id":"W2512443396","doi":"10.1002/2016wr019436","title":"Isoscapes of δ<sup>18</sup>O and δ<sup>2</sup>H reveal climatic forcings on Alaska and Yukon precipitation","year":2016,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":47,"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":"Permafrost; Paleoclimatology; Arctic; Holocene; Geology; Orographic lift; Precipitation; Stable isotope ratio; Ice core; Meteoric water; Physical geography; Climatology; Atmospheric sciences; Oceanography; Climate change; Geography; Groundwater; Meteorology","score_opus":0.06743985693709666,"score_gpt":0.29985000390401756,"score_spread":0.23241014696692092,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2512443396","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99366266,0.0004393335,0.0000024509905,0.0016226389,0.000018921302,0.0004118556,0.0005220684,0.000021669322,0.0032983932],"genre_scores_gemma":[0.99641675,0.000628916,0.000051435538,0.000086651686,0.00016808027,0.00000956239,0.00023869444,0.000013316975,0.002386596],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9973533,0.00037736594,0.0003496782,0.00047339257,0.0007246623,0.00072161114],"domain_scores_gemma":[0.99840385,0.0009107567,0.000053880634,0.00028721854,0.00011284074,0.00023144041],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0012879331,0.00019845465,0.00029139934,0.00036725562,0.00031526748,0.00015331166,0.00024727674,0.00013391415,0.0030916978],"category_scores_gemma":[0.00013555867,0.00010949569,0.000049321785,0.00018489039,0.00041024454,0.00030373412,0.00009677376,0.00022177231,0.0002900476],"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":[0.0009726611,0.00006983893,0.8730346,0.0007551664,0.000058152407,0.00003600744,0.053788114,0.00044386805,0.0078919865,0.000018214185,0.0044093207,0.058522053],"study_design_scores_gemma":[0.006314733,0.007515292,0.76467943,0.0027415878,0.00010729806,0.000195932,0.018644327,0.05708063,0.025327109,0.005942041,0.10971664,0.0017349801],"about_ca_topic_score_codex":0.0014232658,"about_ca_topic_score_gemma":0.0005717609,"teacher_disagreement_score":0.10835519,"about_ca_system_score_codex":0.000010586523,"about_ca_system_score_gemma":0.000011737114,"threshold_uncertainty_score":0.9978196},"labels":[],"label_agreement":null},{"id":"W2514494402","doi":"10.1002/2016wr019084","title":"Framework for event‐based semidistributed modeling that unifies the SCS‐CN method, VIC, PDM, and TOPMODEL","year":2016,"lang":"en","type":"article","venue":"Water Resources Research","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":"National Science Foundation","keywords":"Surface runoff; Runoff curve number; Runoff model; Watershed; Storm; Probabilistic logic; Environmental science; Hydrology (agriculture); Infiltration (HVAC); Event (particle physics); Range (aeronautics); Computer science; Mathematics; Meteorology; Statistics; Geology; Geography; Geotechnical engineering; Engineering; Physics","score_opus":0.09724403594322338,"score_gpt":0.36447725179971385,"score_spread":0.26723321585649046,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2514494402","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.57546663,0.0001110816,0.39679727,0.025913635,0.000041697316,0.0006398426,0.000018904442,0.000048774356,0.0009621713],"genre_scores_gemma":[0.99324,0.00007218397,0.0032636034,0.00030370656,0.00005046299,0.00019513597,0.0000065090253,0.00001832553,0.0028500708],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9977261,0.00041155447,0.00016687215,0.00046278353,0.00047770143,0.0007550306],"domain_scores_gemma":[0.99879164,0.0006865892,0.00002340561,0.00038862054,0.00002430079,0.00008544604],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027338339,0.0001566712,0.00016755289,0.000073240335,0.0009867987,0.00007828613,0.0004782888,0.00011628968,0.00035149147],"category_scores_gemma":[0.00013512488,0.00006891749,0.000060052997,0.00012679287,0.0005917168,0.00012979006,0.0008794192,0.00023601891,0.000120908],"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":[0.006707925,0.0010225741,0.23472525,0.0009539254,0.0017034988,0.0001412431,0.090305455,0.38327608,0.100271925,0.012054659,0.057053693,0.11178377],"study_design_scores_gemma":[0.0018294057,0.00036360743,0.0018560587,0.0001852377,0.000074312265,0.000005051252,0.0020403103,0.4800693,0.050173108,0.1868932,0.2758276,0.00068282004],"about_ca_topic_score_codex":0.00021070443,"about_ca_topic_score_gemma":0.00004746454,"teacher_disagreement_score":0.4177734,"about_ca_system_score_codex":0.00007251922,"about_ca_system_score_gemma":0.0000032505313,"threshold_uncertainty_score":0.7589757},"labels":[],"label_agreement":null},{"id":"W2517916317","doi":"10.1002/2016wr018985","title":"Correlation and causation in tree‐ring‐based reconstruction of paleohydrology in cold semiarid regions","year":2016,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Tree-ring climate responses","field":"Earth and Planetary Sciences","cited_by":13,"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 Regina; Global Institute for Water Security; University of Saskatchewan","funders":"University of Bristol; University of Saskatchewan","keywords":"Evapotranspiration; Dendrochronology; Precipitation; Surface runoff; Climatology; Dendroclimatology; Physical geography; Drainage basin; Environmental science; Hydrology (agriculture); Geology; Geography; Meteorology; Cartography; Ecology","score_opus":0.04217136714822707,"score_gpt":0.2785904974429104,"score_spread":0.23641913029468337,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2517916317","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99760216,0.00011026718,0.0000242891,0.00081731816,0.000040105024,0.00019587742,0.000013031285,0.000014337862,0.0011826383],"genre_scores_gemma":[0.9995707,0.00007523761,0.00007937618,0.0000063458456,0.000020303718,0.0000048224324,0.000012249606,0.0000036865936,0.000227246],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9982108,0.0006150091,0.00026995564,0.0002569063,0.00028255399,0.00036476066],"domain_scores_gemma":[0.9989283,0.00076305703,0.000041615538,0.00016053337,0.000044661843,0.00006180502],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013870978,0.00007640948,0.00014444572,0.0008444408,0.00006894617,0.00002271563,0.000109582244,0.00011694371,0.00021150928],"category_scores_gemma":[0.00019005993,0.000048158152,0.000017552216,0.0003164563,0.0003017217,0.00015161127,0.0000202563,0.00018394756,0.000041551302],"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":[0.0003258899,0.000012974097,0.95907176,0.0000242074,0.0000025588492,0.0000132852865,0.00065461156,0.001089764,0.012607341,0.000016563594,0.0000052862824,0.026175741],"study_design_scores_gemma":[0.00085204386,0.00018164812,0.9753032,0.00014910524,0.0000018668757,0.000015386806,0.00011521833,0.011199561,0.010417211,0.0004299709,0.0012509003,0.00008388559],"about_ca_topic_score_codex":0.003686749,"about_ca_topic_score_gemma":0.02924939,"teacher_disagreement_score":0.026091855,"about_ca_system_score_codex":0.000022236238,"about_ca_system_score_gemma":0.000024883908,"threshold_uncertainty_score":0.9884643},"labels":[],"label_agreement":null},{"id":"W2518515503","doi":"10.1002/2016wr018603","title":"A novel method to estimate the maximization ratio of the <scp>P</scp>robable <scp>M</scp>aximum <scp>P</scp>recipitation (<scp>P</scp>MP) using regional climate model output","year":2016,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Climate variability and models","field":"Environmental Science","cited_by":56,"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 Sherbrooke","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Upper and lower bounds; Maximization; Limiting; Limit (mathematics); Value (mathematics); Precipitable water; Expectation–maximization algorithm; Series (stratigraphy); Precipitation; Environmental science; Mathematics; Meteorology; Statistics; Mathematical optimization; Maximum likelihood; Physics; Geology; Engineering","score_opus":0.08990949888295459,"score_gpt":0.3495407816042282,"score_spread":0.2596312827212736,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2518515503","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.84942096,0.00009587267,0.13738748,0.0011222498,0.00020279783,0.0022922307,0.00023773522,0.00014520426,0.009095486],"genre_scores_gemma":[0.8668627,0.00030707245,0.07980226,0.0012163866,0.0005659804,0.00090818095,0.00019761761,0.0004825435,0.04965722],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.98838407,0.0019471908,0.0014336243,0.001857205,0.0035332788,0.0028446505],"domain_scores_gemma":[0.988679,0.007663047,0.00051062414,0.0020708241,0.00045040826,0.00062610046],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.009806822,0.00079924095,0.00081379653,0.000525178,0.0019245221,0.00063329266,0.0025235838,0.0005429045,0.00005750872],"category_scores_gemma":[0.006280941,0.0004602469,0.0004282081,0.0016725323,0.0013535246,0.0010823725,0.0031650683,0.0009814096,0.0005768695],"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":[0.000027677164,0.00045024723,0.0037724955,0.00017449129,0.00009229494,0.00000603383,0.029644175,0.63385546,0.32231623,0.00074041967,0.008038964,0.0008815085],"study_design_scores_gemma":[0.0018063406,0.0003095519,0.0033561136,0.00039337654,0.00013390237,0.00006678268,0.0048137624,0.8375908,0.06385236,0.011715386,0.07581364,0.00014799112],"about_ca_topic_score_codex":0.0011641626,"about_ca_topic_score_gemma":0.00035863454,"teacher_disagreement_score":0.2584639,"about_ca_system_score_codex":0.000877268,"about_ca_system_score_gemma":0.00015235154,"threshold_uncertainty_score":0.99978495},"labels":[],"label_agreement":null},{"id":"W2521365876","doi":"10.1002/2015wr018211","title":"Groundwater depletion in Central Mexico: Use of GRACE and InSAR to support water resources management","year":2016,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Geophysics and Gravity Measurements","field":"Earth and Planetary Sciences","cited_by":133,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Government of Canada; Geological Survey of Canada; Natural Resources Canada; Institut National de la Recherche Scientifique","funders":"","keywords":"Groundwater; Interferometric synthetic aperture radar; Hydrology (agriculture); Surface water; Context (archaeology); Environmental science; Water resources; Watershed; Water resource management; Geology; Remote sensing; Synthetic aperture radar; Environmental engineering","score_opus":0.06586101861852335,"score_gpt":0.27347199769717345,"score_spread":0.20761097907865012,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2521365876","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9979626,0.000017878276,0.000016879076,0.0008452722,0.000054866006,0.00041443593,0.000024254588,0.000012687137,0.00065111637],"genre_scores_gemma":[0.9967125,0.00003761694,0.00011752963,0.000066316796,0.00003861907,0.000007532831,0.000036315192,0.000008750564,0.0029748373],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9969433,0.00029437913,0.00030707804,0.00044804334,0.0010097441,0.0009974545],"domain_scores_gemma":[0.99928933,0.00005395814,0.000020781854,0.000315137,0.00008080779,0.00023995395],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013704372,0.00015730482,0.00020158464,0.00045457494,0.0001558584,0.0001738538,0.0003119028,0.00006651721,0.0006711499],"category_scores_gemma":[0.0000146288085,0.0000766369,0.000042541647,0.00019915853,0.00018472891,0.00027436286,0.00016819043,0.00014656517,0.00039568613],"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":[0.0003041751,0.00006366473,0.96409625,0.00006347778,0.000026850348,0.000051442647,0.0069418056,0.00009049629,0.015147745,0.000009131515,0.00023742921,0.0129675185],"study_design_scores_gemma":[0.0005263337,0.00035479618,0.8731763,0.000071448354,0.000005635755,0.000003283313,0.00027120748,0.000036117166,0.030419165,0.0007871043,0.09417892,0.00016972386],"about_ca_topic_score_codex":0.007842953,"about_ca_topic_score_gemma":0.003352393,"teacher_disagreement_score":0.09394149,"about_ca_system_score_codex":0.000018831108,"about_ca_system_score_gemma":0.0000039632428,"threshold_uncertainty_score":0.9987639},"labels":[],"label_agreement":null},{"id":"W2524146688","doi":"10.1002/2016wr018874","title":"Importance of soil heating, liquid water loss, and vapor flow enhancement for evaporation","year":2016,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Soil and Unsaturated Flow","field":"Engineering","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 British Columbia","funders":"","keywords":"Evaporation; Loam; Latent heat; Sensible heat; Airflow; Flux (metallurgy); Moisture; Flow (mathematics); Soil water; Environmental science; Mechanics; Heat flux; Water vapor; Thermodynamics; Hydrology (agriculture); Atmospheric sciences; Meteorology; Soil science; Materials science; Heat transfer; Geotechnical engineering; Geology; Physics","score_opus":0.027337504589916687,"score_gpt":0.2810129805925621,"score_spread":0.2536754760026454,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2524146688","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99761534,0.00031557298,0.00052900123,0.00047977405,0.0000762965,0.00030531074,0.000015467987,0.00005800664,0.00060521514],"genre_scores_gemma":[0.9973747,0.00015413915,0.00022911264,0.000011484102,0.00016632456,0.00013105113,0.000030254449,0.000034233042,0.001868701],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9985328,0.000049154845,0.00028069955,0.00023937998,0.0003501631,0.00054780114],"domain_scores_gemma":[0.9994128,0.00006675273,0.000013507485,0.00024381424,0.00017494235,0.00008823241],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007486576,0.00012862464,0.00016914436,0.00011276408,0.00010498684,0.00004100733,0.00014150818,0.00008528007,0.0001358769],"category_scores_gemma":[0.000029828774,0.00006322704,0.000038598133,0.000070056485,0.00011781131,0.00012609437,0.00007066393,0.00011958303,0.000038809285],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004209533,0.00003494017,0.001041564,0.00035576182,0.000069231224,0.0000075314765,0.0041102115,0.0007851711,0.9761546,0.00001600948,0.0015610394,0.015442979],"study_design_scores_gemma":[0.0005800758,0.00031276085,0.00010197811,0.00008267808,0.0000050295857,0.0000026580478,0.00005027804,0.0073798434,0.96436965,0.000284716,0.026698692,0.00013165547],"about_ca_topic_score_codex":0.000030308158,"about_ca_topic_score_gemma":0.00003869275,"teacher_disagreement_score":0.025137652,"about_ca_system_score_codex":0.000050178154,"about_ca_system_score_gemma":0.0000069694884,"threshold_uncertainty_score":0.25783238},"labels":[],"label_agreement":null},{"id":"W2550962109","doi":"10.1002/2016wr019551","title":"Comparison of static and dynamic resilience for a multipurpose reservoir operation","year":2016,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Water resources management and optimization","field":"Engineering","cited_by":100,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada; BC Hydro","keywords":"Inflow; Resilience (materials science); Reservoir modeling; Reservoir simulation; Reliability engineering; Environmental science; Computer science; Petroleum engineering; Risk analysis (engineering); Engineering; Geology","score_opus":0.046337100903436935,"score_gpt":0.3481133317284026,"score_spread":0.30177623082496563,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2550962109","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9841414,0.00019026345,0.014099048,0.00036249091,0.000031956944,0.0006708746,0.000011541943,0.00007274503,0.00041969548],"genre_scores_gemma":[0.9962443,0.000074444906,0.0015581453,0.0000033594315,0.000025031977,0.000097757016,0.00001650086,0.00003075112,0.0019497091],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986488,0.00010051191,0.0002821894,0.00022066942,0.0003505701,0.00039721988],"domain_scores_gemma":[0.9994046,0.00016074347,0.000018806866,0.00023829505,0.000109643566,0.00006789615],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00067607383,0.00010812638,0.00017492511,0.00029943298,0.00013123151,0.000082469865,0.00023322577,0.000055693774,0.000031431922],"category_scores_gemma":[0.00006207692,0.00006381801,0.00002586729,0.00012474552,0.00015860281,0.0001894386,0.00013230018,0.0000876503,0.00001910476],"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":[0.00076471595,0.00019370222,0.022813339,0.0022596247,0.00015867184,0.000006447617,0.04154894,0.2721479,0.5924967,0.0002287424,0.0038411808,0.06354003],"study_design_scores_gemma":[0.0013808163,0.0003536832,0.0022564954,0.00017436489,0.00001220891,8.034285e-7,0.0007598552,0.8473514,0.10669468,0.00047122902,0.040313296,0.00023116556],"about_ca_topic_score_codex":0.000021079764,"about_ca_topic_score_gemma":0.000047565172,"teacher_disagreement_score":0.5752035,"about_ca_system_score_codex":0.00004947488,"about_ca_system_score_gemma":0.0000027930566,"threshold_uncertainty_score":0.2602423},"labels":[],"label_agreement":null},{"id":"W2553795071","doi":"10.1002/2016wr019592","title":"Reply to comment by Spyros Beltaos on “Estimation of composite hydraulic resistance in ice‐covered alluvial streams”","year":2016,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Manitoba Hydro; Golder Associates (Canada); University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada; Manitoba Hydro; University of Ottawa","keywords":"Alluvium; STREAMS; Geology; Composite number; Estimation; Geotechnical engineering; Hydrology (agriculture); Geomorphology; Mathematics; Computer science; Engineering; Algorithm","score_opus":0.03625954073172313,"score_gpt":0.2828316206466706,"score_spread":0.24657207991494748,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2553795071","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9727634,0.00018222585,0.00007547833,0.023615219,0.000041914347,0.00039836255,0.00015969561,0.000015177025,0.0027485052],"genre_scores_gemma":[0.99630564,0.000043904467,0.00039904175,0.0010763633,0.000043277887,0.000011990948,0.00006573647,0.000005519384,0.0020484915],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9979703,0.00020806618,0.0003153886,0.00032280237,0.0007049688,0.00047850274],"domain_scores_gemma":[0.99903095,0.00041555942,0.000039383045,0.00031998195,0.0000750925,0.00011904323],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00070848694,0.00011221737,0.00018520694,0.000105555395,0.0002193649,0.000049375067,0.00031753903,0.00003967909,0.00068742596],"category_scores_gemma":[0.00009487215,0.00006529793,0.00003477577,0.00028050566,0.0001269185,0.00009337821,0.00006561201,0.00012705865,0.0002536872],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0039830427,0.00050128857,0.4537167,0.00018054407,0.00011751976,0.00004989492,0.025793105,0.01140872,0.01333663,0.00012308461,0.30138886,0.18940061],"study_design_scores_gemma":[0.0008740851,0.0005260064,0.29880276,0.00020488237,0.0000035391608,4.3998506e-7,0.00035251278,0.001053606,0.009057081,0.00072479487,0.6882159,0.00018437534],"about_ca_topic_score_codex":0.011552678,"about_ca_topic_score_gemma":0.004524905,"teacher_disagreement_score":0.38682708,"about_ca_system_score_codex":0.000033412358,"about_ca_system_score_gemma":0.000010461894,"threshold_uncertainty_score":0.99502945},"labels":[],"label_agreement":null},{"id":"W2554152762","doi":"10.1002/2015wr018525","title":"Time‐varying nonstationary multivariate risk analysis using a dynamic Bayesian copula","year":2016,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Drought Analysis","field":"Environmental Science","cited_by":132,"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":"Natural Sciences and Engineering Research Council of Canada; U.S. Department of Energy","keywords":"Copula (linguistics); Markov chain Monte Carlo; Deviance information criterion; Multivariate statistics; Econometrics; Bayesian probability; Bayesian inference; Gibbs sampling; Inference; Computer science; Statistics; Posterior probability; Mathematics; Artificial intelligence","score_opus":0.021792927124011124,"score_gpt":0.3165508604092462,"score_spread":0.29475793328523503,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2554152762","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98813957,0.00002339381,0.007813625,0.0004363322,0.000011890014,0.00014296759,0.000023085837,0.00004051613,0.003368626],"genre_scores_gemma":[0.9920515,0.000014743452,0.0015686492,0.00002963317,0.000026309346,0.000015552674,0.000022004213,0.000019646743,0.006251984],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9964972,0.0010749317,0.00028847158,0.00060380483,0.0007614176,0.00077416626],"domain_scores_gemma":[0.99894774,0.00028907883,0.00005687115,0.00049632095,0.000027862072,0.00018212774],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0019649689,0.0001560447,0.00025852778,0.0005090971,0.0007834072,0.000054580407,0.0004445102,0.00012809485,0.014183219],"category_scores_gemma":[0.00009861387,0.00008847465,0.00018173017,0.0012248928,0.00073714973,0.0002497507,0.0005195493,0.00026959283,0.004262695],"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":[0.0003607304,0.00023588983,0.5520568,0.000009970996,0.0014788414,0.00019792782,0.010539069,0.090573825,0.32734877,0.000004393434,0.0002704449,0.016923372],"study_design_scores_gemma":[0.000719691,0.00007878678,0.03319929,0.000019128322,0.0004186655,0.000009731069,0.00012932777,0.9534736,0.0037766222,0.0013684448,0.0064204824,0.00038618414],"about_ca_topic_score_codex":0.0028262103,"about_ca_topic_score_gemma":0.00035463859,"teacher_disagreement_score":0.86289984,"about_ca_system_score_codex":0.00025734692,"about_ca_system_score_gemma":0.0000071343434,"threshold_uncertainty_score":0.9965126},"labels":[],"label_agreement":null},{"id":"W2555061274","doi":"10.1002/2016wr018769","title":"Push‐pull tracer tests: Their information content and use for characterizing non‐<scp>F</scp>ickian, mobile‐immobile behavior","year":2016,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Groundwater flow and contamination studies","field":"Environmental Science","cited_by":21,"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 Science; Los Alamos National Laboratory; Azrieli Foundation; U.S. Department of Energy","keywords":"Flow (mathematics); Field (mathematics); Diffusion; Function (biology); TRACER; Dispersion (optics); Calibration; Statistical physics; Random walk; Computer science; Scale (ratio); Laplace transform; Mechanics; Mathematical optimization; Simulation; Mathematics; Physics; Mathematical analysis; Statistics; Optics","score_opus":0.06205727071439806,"score_gpt":0.28772587465496585,"score_spread":0.22566860394056779,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2555061274","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99687314,0.000030661922,0.0008940137,0.00034724514,0.000057594476,0.0013679261,0.000071452945,0.000042027496,0.00031594248],"genre_scores_gemma":[0.97665155,0.000055910845,0.00012601669,0.00012349122,0.000057336645,0.0019454485,0.000029183033,0.000021514561,0.020989558],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.99797565,0.00011144563,0.00033053136,0.000348268,0.00052898604,0.00070512755],"domain_scores_gemma":[0.99897087,0.00042887297,0.000056061574,0.00028561,0.00010690696,0.00015165505],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008319703,0.00019054556,0.00019956307,0.00014676597,0.00049212266,0.0003718368,0.0002736961,0.000092662776,0.00012715782],"category_scores_gemma":[0.00010537211,0.00010033167,0.00006509695,0.00011395777,0.00033386465,0.0014309176,0.00049386953,0.00014794548,0.00045524235],"study_design_candidate":"bench_or_experimental","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":[0.000051232866,0.00013723325,0.12471709,0.00004401434,0.000033306333,0.0000055544715,0.028588373,0.000002553685,0.63349915,0.000008064324,0.002312073,0.21060136],"study_design_scores_gemma":[0.00068132085,0.00026066072,0.2433651,0.000031147527,0.000008293307,0.000008601919,0.0027450263,0.00007004423,0.06642674,0.000012009779,0.68630135,0.000089709676],"about_ca_topic_score_codex":0.0003057377,"about_ca_topic_score_gemma":0.000081957216,"teacher_disagreement_score":0.6839893,"about_ca_system_score_codex":0.00016171884,"about_ca_system_score_gemma":0.000004393155,"threshold_uncertainty_score":0.5851371},"labels":[],"label_agreement":null},{"id":"W2555366863","doi":"10.1002/2016wr019316","title":"Comment on “Estimation of composite hydraulic resistance in ice‐covered alluvial streams” by Ghareh Aghaji Zare et al.","year":2016,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Sediment Transport Processes","field":"Environmental Science","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":"Environment and Climate Change Canada","funders":"Environment and Climate Change Canada","keywords":"STREAMS; Hydraulics; Alluvium; Geology; Hydrology (agriculture); Flow (mathematics); Alluvial fan; Composite number; Geotechnical engineering; Geomorphology; Engineering; Structural basin; Materials science; Mathematics; Computer science; Geometry","score_opus":0.020659087909786353,"score_gpt":0.2909358811692502,"score_spread":0.2702767932594638,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2555366863","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9544121,0.0000667291,0.000083005165,0.03826906,0.00001690189,0.00028081608,0.00004919262,0.000020389118,0.00680182],"genre_scores_gemma":[0.9962196,0.00007001635,0.000086204935,0.0024786592,0.000006504777,0.00004292558,0.000062595725,0.000015014907,0.001018519],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.9975543,0.0003726691,0.0003113192,0.00041403837,0.00084370817,0.00050398643],"domain_scores_gemma":[0.99932593,0.00021065591,0.00004556348,0.00030467834,0.000016012367,0.00009718773],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0010809521,0.00014030215,0.00019031856,0.000112757756,0.0001361244,0.000022650069,0.0004247209,0.000084573425,0.0015709704],"category_scores_gemma":[0.000028891054,0.0000862123,0.000035758498,0.00019039237,0.00041288027,0.00020664479,0.00014246175,0.00025114906,0.0004089428],"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":[0.0065387,0.0030336976,0.18133974,0.0002934562,0.00012583261,0.00018065773,0.025728498,0.011429934,0.47249383,0.00024848033,0.27259153,0.025995672],"study_design_scores_gemma":[0.0018263905,0.0004923381,0.017997488,0.00027125762,0.000005410614,0.000001039001,0.0000798113,0.00044136195,0.22311297,0.0011456183,0.75437164,0.00025464682],"about_ca_topic_score_codex":0.00046587212,"about_ca_topic_score_gemma":0.00035085625,"teacher_disagreement_score":0.48178014,"about_ca_system_score_codex":0.00013457493,"about_ca_system_score_gemma":0.0000063299626,"threshold_uncertainty_score":0.9993417},"labels":[],"label_agreement":null},{"id":"W2560867737","doi":"10.1002/2016wr019448","title":"Primary weathering rates, water transit times, and concentration‐discharge relations: A theoretical analysis for the critical zone","year":2016,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Groundwater flow and contamination studies","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":false,"ca_institutions":"Global Institute for Water Security; University of Saskatchewan; Western University","funders":"Natural Sciences and Engineering Research Council of Canada; Svenska Forskningsrådet Formas; Natural Environment Research Council; Sight Research UK; Kempe Foundation","keywords":"Weathering; Transition zone; Hydraulic conductivity; Dissolution; Soil science; Geology; Groundwater; Inverse; Hydrology (agriculture); Geomorphology; Chemistry; Soil water; Geotechnical engineering; Geochemistry; Geometry; Mathematics","score_opus":0.023611192150155513,"score_gpt":0.2932226170579472,"score_spread":0.2696114249077917,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2560867737","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8436484,0.00028355577,0.12451067,0.028726898,0.000030852883,0.0005982131,0.000022119855,0.00003516106,0.0021441395],"genre_scores_gemma":[0.98407257,0.000041175583,0.00016763915,0.00009959035,0.000049797716,0.00019796232,0.000011522348,0.000012895607,0.015346826],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.9981165,0.00025365702,0.00021268333,0.00035395817,0.00050665694,0.00055655773],"domain_scores_gemma":[0.99888617,0.0007290878,0.00000856591,0.00023305672,0.0000504861,0.00009262226],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001494458,0.00011576706,0.00016188293,0.00006034676,0.0007914513,0.00015613704,0.00021768651,0.000056939727,0.0036870237],"category_scores_gemma":[0.00006015348,0.00004425219,0.00007845667,0.0001574332,0.0014117617,0.00020039717,0.00023926178,0.000123593,0.00032988537],"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":[0.0011775052,0.0004977148,0.22070876,0.00013394955,0.0018951558,0.000032675813,0.09613072,0.00032108428,0.5445661,0.041387122,0.004182775,0.088966444],"study_design_scores_gemma":[0.0028186154,0.0004496343,0.106850766,0.000065097745,0.0005930719,0.00001797683,0.002066607,0.008856176,0.0926433,0.009186399,0.7756849,0.0007674377],"about_ca_topic_score_codex":0.00006978004,"about_ca_topic_score_gemma":0.000038615814,"teacher_disagreement_score":0.77150214,"about_ca_system_score_codex":0.0000828626,"about_ca_system_score_gemma":0.0000037609489,"threshold_uncertainty_score":0.99722373},"labels":[],"label_agreement":null},{"id":"W2561672262","doi":"10.1002/2016wr019675","title":"What is the “active layer”?","year":2016,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Sediment Transport Processes","field":"Environmental Science","cited_by":87,"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 British Columbia","funders":"","keywords":"Active layer; Layer (electronics); Event (particle physics); Fluvial; Relation (database); Scale (ratio); Term (time); Current (fluid); Geology; Computer science; Geography; Data mining; Cartography; Geomorphology; Physics; Materials science; Oceanography; Nanotechnology","score_opus":0.039684082370011996,"score_gpt":0.3073083514335868,"score_spread":0.26762426906357484,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2561672262","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95883316,0.000105635205,0.0000138573,0.027555248,0.00006373067,0.00016523138,0.0000024066167,0.00002397247,0.013236732],"genre_scores_gemma":[0.97472763,0.00026045347,0.0000055531723,0.00061922945,0.00006405936,0.000043308144,0.0000011871603,0.000010204635,0.024268394],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.99820656,0.00015544366,0.00010946608,0.0003183373,0.0006427735,0.0005674219],"domain_scores_gemma":[0.99941486,0.00014872395,0.000010857897,0.0003241415,0.000015697005,0.00008569141],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00094259024,0.00008694225,0.00007690673,0.00003807575,0.00043557127,0.00007567272,0.0005751963,0.00007399638,0.021237025],"category_scores_gemma":[0.000011800456,0.000031759508,0.000038157803,0.00014755905,0.0009185154,0.0004643077,0.00024187715,0.00021855073,0.008464164],"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":[0.0011246632,0.0004461941,0.1925387,0.000045665598,0.00018889851,0.00019198672,0.1650049,0.00013103709,0.31417075,0.00015381396,0.04830545,0.27769795],"study_design_scores_gemma":[0.00018616677,0.0000747859,0.006231362,0.000016146965,0.000003010105,0.0000034220814,0.00043247925,0.00001194642,0.20484143,0.0020062125,0.78611577,0.00007728928],"about_ca_topic_score_codex":0.00015469462,"about_ca_topic_score_gemma":0.000079835496,"teacher_disagreement_score":0.7378103,"about_ca_system_score_codex":0.000047234294,"about_ca_system_score_gemma":0.000003526146,"threshold_uncertainty_score":0.99230784},"labels":[],"label_agreement":null},{"id":"W2563331167","doi":"10.1002/2016wr019573","title":"Improving operating policies of large‐scale surface‐groundwater systems through stochastic programming","year":2016,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Water resources management and optimization","field":"Engineering","cited_by":30,"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":"European Commission","keywords":"Aquifer; Groundwater; Stochastic programming; Mathematical optimization; Computer science; Scale (ratio); Surface water; Water resources; Resource (disambiguation); Environmental science; Geology; Mathematics; Environmental engineering; Geotechnical engineering","score_opus":0.029073897092495315,"score_gpt":0.28034533076794427,"score_spread":0.25127143367544896,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2563331167","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9559441,0.00031437282,0.040908072,0.00012362954,0.00013791764,0.0006790849,0.000008878976,0.00028491492,0.0015990281],"genre_scores_gemma":[0.9947905,0.000017906226,0.0010543338,0.0000050408858,0.00019832677,0.00006431694,0.000014877542,0.00008867399,0.003766013],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99713194,0.00019229906,0.0004697231,0.00033549123,0.000731233,0.0011393361],"domain_scores_gemma":[0.99917483,0.00008981036,0.000037933176,0.00042164477,0.00018171575,0.000094038725],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001147123,0.00023247881,0.00029727435,0.00025210666,0.0002797675,0.00035641328,0.00046165887,0.00011297885,0.00007025311],"category_scores_gemma":[0.000031633306,0.00013297769,0.00007053413,0.00030072193,0.00016377878,0.00043275012,0.00039321845,0.0002216594,0.00010223034],"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":[0.00008855491,0.0001988141,0.0044831126,0.002071349,0.00027383465,0.00002221457,0.0873088,0.60785747,0.2896364,0.00024995825,0.0007181024,0.007091387],"study_design_scores_gemma":[0.004242797,0.0008686506,0.0005880053,0.0018048524,0.00009240877,0.000025284644,0.019160083,0.57113165,0.23289597,0.00019671863,0.16710523,0.0018883849],"about_ca_topic_score_codex":0.0005448555,"about_ca_topic_score_gemma":0.00003633496,"teacher_disagreement_score":0.16638713,"about_ca_system_score_codex":0.00011557692,"about_ca_system_score_gemma":0.000005159735,"threshold_uncertainty_score":0.54226726},"labels":[],"label_agreement":null},{"id":"W2563956511","doi":"10.1002/2016wr019191","title":"The integrated hydrologic model intercomparison project, <scp>IH‐MIP2</scp>: A second set of benchmark results to diagnose integrated hydrology and feedbacks","year":2016,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":176,"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; Institut National de la Recherche Scientifique","funders":"Provincia autonoma di Bolzano - Alto Adige; Deutsche Forschungsgemeinschaft; National Science Foundation","keywords":"Surface runoff; Benchmark (surveying); Hydrology (agriculture); Environmental science; Hydrological modelling; Meteorology; Geotechnical engineering; Geology; Climatology; Geography","score_opus":0.04023222057586415,"score_gpt":0.3044302423595266,"score_spread":0.2641980217836625,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2563956511","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98220557,0.00009344247,0.00008655034,0.004807082,0.000056542525,0.00094562257,0.000066422996,0.00005627312,0.011682475],"genre_scores_gemma":[0.98496085,0.00018558213,0.000118277276,0.00022159361,0.00003136759,0.000249455,0.000021515172,0.00002512842,0.014186231],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99557567,0.0010877367,0.0006046854,0.00088407035,0.00056265126,0.0012851821],"domain_scores_gemma":[0.997756,0.0012499653,0.000097071315,0.000645259,0.00006849401,0.00018321873],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0038055722,0.00032630737,0.00042756708,0.00032545728,0.00065161375,0.00008558844,0.0010327942,0.00021951237,0.0001418228],"category_scores_gemma":[0.0008042381,0.00014380254,0.00007352861,0.0005214737,0.0023040392,0.00018304474,0.0024808706,0.00058490393,0.00038502307],"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":[0.005198341,0.00069929665,0.2311797,0.00015322637,0.000877487,0.0002063383,0.14708364,0.005437972,0.19106005,0.00023152221,0.39449254,0.023379881],"study_design_scores_gemma":[0.0029132313,0.002788723,0.010291824,0.00013777016,0.000047011505,0.000022099339,0.004778415,0.023664877,0.0527975,0.004576923,0.8976072,0.000374427],"about_ca_topic_score_codex":0.0012533737,"about_ca_topic_score_gemma":0.0029378764,"teacher_disagreement_score":0.50311464,"about_ca_system_score_codex":0.00013626834,"about_ca_system_score_gemma":0.000013248181,"threshold_uncertainty_score":0.8489328},"labels":[],"label_agreement":null},{"id":"W2565676891","doi":"10.1002/2016wr019460","title":"Experiment on temporal variation of bed load transport in response to changes in sediment supply in streams","year":2016,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Sediment Transport Processes","field":"Environmental Science","cited_by":35,"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","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Flume; Sediment; Sediment transport; Bedform; Geology; Bed load; STREAMS; Soil science; Hydrology (agriculture); Grain size; Environmental science; Geomorphology; Geotechnical engineering; Flow (mathematics); Mechanics","score_opus":0.02657186838244786,"score_gpt":0.2956754990219799,"score_spread":0.2691036306395321,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2565676891","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9937798,0.000020578342,0.0000050963104,0.005100655,0.000018026405,0.00053760695,0.000008714215,0.000009410624,0.0005201048],"genre_scores_gemma":[0.9990116,0.000017871766,0.000038024773,0.0000724295,0.000011250739,0.00019139684,0.0000061474375,0.000012197106,0.00063910784],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9973354,0.00041721636,0.00034361068,0.000451882,0.0008591152,0.0005928127],"domain_scores_gemma":[0.9994839,0.00013707501,0.000022236189,0.000243523,0.000012437596,0.000100840516],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0032317473,0.00013223557,0.00020670125,0.00043728502,0.00003637877,0.000006142444,0.0003092824,0.000114209426,0.0018635952],"category_scores_gemma":[0.000031633946,0.00008309342,0.00002183931,0.00043396823,0.00017078826,0.00010117551,0.000069751826,0.00018943229,0.00015443806],"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":[0.0050767055,0.0004812824,0.5667099,0.000014994326,0.000003780022,0.000095645686,0.036206882,0.00083447935,0.38855383,0.0000030307397,0.000016771652,0.0020027175],"study_design_scores_gemma":[0.0016997583,0.0009822826,0.61084986,0.00015141409,0.0000011181618,5.791799e-7,0.00036543785,0.000031314004,0.37886557,0.00009527891,0.006815705,0.00014169674],"about_ca_topic_score_codex":0.004689,"about_ca_topic_score_gemma":0.01218559,"teacher_disagreement_score":0.04413996,"about_ca_system_score_codex":0.0004480747,"about_ca_system_score_gemma":0.000021600945,"threshold_uncertainty_score":0.9990488},"labels":[],"label_agreement":null},{"id":"W2566529875","doi":"10.1002/2016wr019752","title":"A platform for probabilistic Multimodel and Multiproduct Streamflow Forecasting","year":2016,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":40,"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 Oceanic and Atmospheric Administration; Manitoba Medical Service Foundation; National Aeronautics and Space Administration","keywords":"Streamflow; Flood forecasting; Probabilistic logic; Probabilistic forecasting; Computer science; Environmental science; Consensus forecast; Calibration; Hydrological modelling; Meteorology; Econometrics; Climatology; Drainage basin; Statistics; Mathematics; Geography; Geology; Artificial intelligence","score_opus":0.0929445231133932,"score_gpt":0.30406551277890076,"score_spread":0.21112098966550757,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2566529875","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99394614,0.000020640251,0.00046235294,0.0021885068,0.000025704965,0.0007657319,0.000007785579,0.00003656336,0.0025465556],"genre_scores_gemma":[0.99183303,0.00001523389,0.00132594,0.000033628963,0.000060651128,0.000239674,0.000002941564,0.000016668171,0.0064722295],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99827194,0.000065579574,0.00015378372,0.0004961951,0.00029034354,0.0007221483],"domain_scores_gemma":[0.9993852,0.00025891073,0.00001690489,0.00023136051,0.000020402094,0.00008721808],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013044147,0.00012335119,0.00013187621,0.000078010205,0.00054374273,0.000037086338,0.0002201057,0.00005519282,0.00020079277],"category_scores_gemma":[0.0002469396,0.00006027325,0.000030547217,0.00007220749,0.00069890945,0.0001773003,0.0007643795,0.000100220976,0.00018248866],"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":[0.0021596248,0.0005689142,0.27604568,0.000607422,0.00030786876,0.000077842844,0.04741616,0.004087275,0.09341039,0.00034690677,0.012916276,0.56205565],"study_design_scores_gemma":[0.010458101,0.002548516,0.024497459,0.0003201662,0.00009828214,0.000045188284,0.0018103254,0.19599411,0.061231,0.06710524,0.6341028,0.0017888068],"about_ca_topic_score_codex":0.0001794853,"about_ca_topic_score_gemma":0.00012764038,"teacher_disagreement_score":0.62118655,"about_ca_system_score_codex":0.00007116207,"about_ca_system_score_gemma":0.000001440847,"threshold_uncertainty_score":0.41820845},"labels":[],"label_agreement":null},{"id":"W2580210320","doi":"10.1002/2016wr019277","title":"Examination of the seepage face boundary condition in subsurface and coupled surface/subsurface hydrological models","year":2017,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","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":"Institut National de la Recherche Scientifique","funders":"","keywords":"Geology; Subsurface flow; Boundary value problem; Outflow; Flow (mathematics); Aquifer; Water table; Boundary (topology); Hydrology (agriculture); Geotechnical engineering; Groundwater; Geometry; Mathematics","score_opus":0.04797834765687623,"score_gpt":0.3012131860473158,"score_spread":0.25323483839043953,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2580210320","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98773646,0.00006516103,0.00002828387,0.0021580232,0.0000337349,0.0004766038,0.0000045498396,0.0000141283645,0.009483037],"genre_scores_gemma":[0.9971929,0.000077094075,0.000031499196,0.00003566454,0.000007106787,0.000016739568,0.0000036831939,0.000009743688,0.0026255548],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99772084,0.00055870676,0.0002130933,0.00040811952,0.00060342724,0.00049580506],"domain_scores_gemma":[0.9992291,0.00009259877,0.000069880414,0.0005383352,0.000017871418,0.000052231877],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028414517,0.00013215262,0.00019597344,0.000049184302,0.0011069392,0.00010473114,0.00066078035,0.000121585435,0.00019909495],"category_scores_gemma":[0.00007262523,0.00007826098,0.000033484237,0.00009730341,0.0022279238,0.0003486749,0.0017297083,0.00036511442,0.000075696356],"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":[0.00030862394,0.00026305477,0.70417166,0.000106056905,0.00007092278,0.00005710456,0.04138065,0.17781381,0.07436897,0.00015781733,0.00044516195,0.00085615995],"study_design_scores_gemma":[0.000847073,0.00014034395,0.900352,0.000028246453,0.00001048637,0.0000029991438,0.0007221195,0.07849006,0.012915933,0.003807042,0.0024999501,0.0001837707],"about_ca_topic_score_codex":0.00095224153,"about_ca_topic_score_gemma":0.00040253688,"teacher_disagreement_score":0.19618031,"about_ca_system_score_codex":0.00007338852,"about_ca_system_score_gemma":0.0000027040862,"threshold_uncertainty_score":0.8513793},"labels":[],"label_agreement":null},{"id":"W2580273847","doi":"10.1002/2016wr019813","title":"Quantifying streambed advection and conduction heat fluxes","year":2017,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":56,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Fisheries and Oceans Canada","funders":"","keywords":"Advection; Environmental science; Thermal conduction; Heat flux; Diel vertical migration; Hydrology (agriculture); Upwelling; Groundwater; Thermocline; Flux (metallurgy); Heat transfer; Geology; Mechanics; Climatology; Thermodynamics; Oceanography; Materials science; Physics; Geotechnical engineering","score_opus":0.10782284161077056,"score_gpt":0.3607079910998803,"score_spread":0.25288514948910973,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2580273847","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96332186,0.000016664175,0.0000049423193,0.0023402479,0.00007693248,0.0001678976,5.708846e-7,0.000024745908,0.034046132],"genre_scores_gemma":[0.99217665,0.000088989604,0.00003539972,0.000038719292,0.00004771684,0.000028617871,0.0000021691508,0.000006598627,0.0075751245],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99894273,0.00010930198,0.000081954866,0.00027680612,0.00024847372,0.00034070766],"domain_scores_gemma":[0.99962306,0.000030265806,0.00001456702,0.00027538073,0.000010146968,0.00004658583],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.00078540284,0.000069077265,0.00008372757,0.0000574104,0.0022032836,0.0001591377,0.00020087099,0.000049207603,0.0008228418],"category_scores_gemma":[0.0000697468,0.00004806598,0.000015262807,0.000032549793,0.0007419272,0.00029538551,0.00092296716,0.00016869766,0.00047882993],"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":[0.000065855755,0.000051932657,0.95941263,0.000030609484,0.000032765056,0.000016237162,0.0035220513,0.00005272523,0.019970065,0.000040752126,0.013148428,0.0036559342],"study_design_scores_gemma":[0.00028927033,0.00012387676,0.8817841,0.00001001768,0.0000065040845,0.00000448952,0.0009087631,0.00029528132,0.008448061,0.00046425508,0.10756337,0.00010203757],"about_ca_topic_score_codex":0.0017793004,"about_ca_topic_score_gemma":0.0034421715,"teacher_disagreement_score":0.09441494,"about_ca_system_score_codex":0.00004493017,"about_ca_system_score_gemma":6.852089e-7,"threshold_uncertainty_score":0.99909574},"labels":[],"label_agreement":null},{"id":"W2580627074","doi":"10.1002/2016wr019260","title":"The pulse of driftwood export from a very large forested river basin over multiple time scales, Slave River, Canada","year":2017,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Sediment Transport Processes","field":"Environmental Science","cited_by":46,"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":"BHF Centre of Research Excellence, Oxford","keywords":"Channel (broadcasting); Slumping; Hydrology (agriculture); Environmental science; Flux (metallurgy); Artifact (error); Structural basin; Physical geography; Magnitude (astronomy); Drainage basin; Geology; Geography; Geomorphology; Cartography","score_opus":0.016816625863338534,"score_gpt":0.25554873144618667,"score_spread":0.23873210558284813,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2580627074","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9952844,0.000121050885,0.000007208266,0.00046944237,0.000060694703,0.00027824892,0.000120420074,0.00001403426,0.003644543],"genre_scores_gemma":[0.994944,0.000044932334,0.00003065651,0.00006957727,0.000054151387,0.000029277599,0.00006115484,0.000019692081,0.004746599],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9971455,0.00020005419,0.00027438285,0.0004330092,0.0011103451,0.0008367068],"domain_scores_gemma":[0.9985761,0.00027025043,0.0000777178,0.0008684487,0.000035102243,0.00017237416],"candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001053299,0.00016444844,0.00022004076,0.00003791882,0.0015677669,0.00007975617,0.001281821,0.00012746212,0.0030972],"category_scores_gemma":[0.00011569163,0.000098709206,0.00006511212,0.00007614991,0.0016164759,0.00024913493,0.0005906793,0.00038434865,0.00028793362],"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":[0.0003730064,0.00013378369,0.9803065,0.00001220357,0.00007633598,0.00015587253,0.0038968713,0.00008560071,0.006581662,0.000003889156,0.006800414,0.0015738512],"study_design_scores_gemma":[0.0009421293,0.000072397925,0.76603436,0.000020676387,0.000012343553,0.0000015216607,0.000082900784,0.0013401742,0.023139194,0.00035372216,0.2078386,0.00016198156],"about_ca_topic_score_codex":0.54332393,"about_ca_topic_score_gemma":0.5299866,"teacher_disagreement_score":0.21427216,"about_ca_system_score_codex":0.0001030181,"about_ca_system_score_gemma":0.00004646473,"threshold_uncertainty_score":0.9997321},"labels":[],"label_agreement":null},{"id":"W2590689870","doi":"10.1002/2016wr019889","title":"Evaluating financial risk management strategies under climate change for hydropower producers on the <scp>G</scp>reat <scp>L</scp>akes","year":2017,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Water resources management and optimization","field":"Engineering","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":"Hydro Research Foundation","keywords":"Hydropower; Portfolio; Futures contract; Revenue; Environmental science; Index (typography); Climate change; Business; Finance; Computer science; Engineering","score_opus":0.10702011974069207,"score_gpt":0.3471006547864357,"score_spread":0.24008053504574361,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2590689870","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9144048,0.00024221314,0.0003803616,0.00030493506,0.00031062585,0.0028485975,0.000033475855,0.00027069674,0.08120427],"genre_scores_gemma":[0.9867034,0.0006556464,0.0004770375,0.00007189033,0.000977548,0.0013220742,0.000070286165,0.0001720304,0.009550121],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.99571353,0.00031323367,0.0003965694,0.0007153193,0.0012220423,0.0016392766],"domain_scores_gemma":[0.99773914,0.00050375704,0.00012124728,0.0013289542,0.00016896056,0.00013793664],"candidate_categories":["metaepi_narrow","sts","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0034229474,0.00042991492,0.00031327663,0.00045309757,0.0024155527,0.0021758531,0.0014038894,0.0001598838,0.00002719712],"category_scores_gemma":[0.00049470144,0.00027667655,0.00016371804,0.00019976587,0.000308017,0.00053512544,0.0007250224,0.0006170985,0.00029449395],"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":[0.00021786407,0.0005033753,0.007941766,0.003908216,0.0012671242,0.00011550116,0.10418293,0.75191694,0.0027199613,0.012091538,0.08425231,0.030882485],"study_design_scores_gemma":[0.0029817254,0.0010906572,0.014346863,0.0006472217,0.00024910495,0.0000036069225,0.018789366,0.3043422,0.01395656,0.0089492565,0.63423836,0.00040503967],"about_ca_topic_score_codex":0.00009554008,"about_ca_topic_score_gemma":0.00005787334,"teacher_disagreement_score":0.54998606,"about_ca_system_score_codex":0.00014438604,"about_ca_system_score_gemma":0.000008236289,"threshold_uncertainty_score":0.9999685},"labels":[],"label_agreement":null},{"id":"W2590935621","doi":"10.1002/2016wr019480","title":"Effect of volcanic dykes on coastal groundwater flow and saltwater intrusion: A field‐scale multiphysics approach and parameter evaluation","year":2017,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Geophysical and Geoelectrical Methods","field":"Earth and Planetary Sciences","cited_by":64,"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":"Department of Communications, Energy and Natural Resources, Ireland; Queen's University; Queen's University Belfast; Scottish Alliance for Geoscience, Environment and Society","keywords":"Aquifer; Geology; Groundwater; Multiphysics; Saltwater intrusion; Hydraulic conductivity; Groundwater flow; Groundwater recharge; Electrical resistivity tomography; Vertical electrical sounding; Volcano; Groundwater model; Aquifer properties; Geophysics; Hydrology (agriculture); Petrology; Soil science; Geotechnical engineering; Electrical resistivity and conductivity; Geochemistry; Finite element method; Soil water","score_opus":0.04339362686789998,"score_gpt":0.33192397901120774,"score_spread":0.28853035214330774,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2590935621","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99749625,0.00007273582,0.000053819876,0.00027532247,0.000049061502,0.00042742337,0.000008933787,0.0000093171,0.0016071517],"genre_scores_gemma":[0.99883467,0.00001701405,0.0005589067,0.000029033115,0.00014236268,0.000012615693,0.00002904281,0.0000052218793,0.00037110678],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9971151,0.0010989552,0.00016576723,0.00041606431,0.0007360872,0.00046805554],"domain_scores_gemma":[0.9983725,0.0009797787,0.00003862712,0.0003690642,0.00008749845,0.0001525388],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002582235,0.00015396797,0.00027382607,0.00010240839,0.0005224327,0.00027884086,0.00027108306,0.00010195368,0.00022140256],"category_scores_gemma":[0.0002729785,0.00007923332,0.000050143088,0.00006837759,0.00036379008,0.00016423217,0.00014642888,0.00036273772,0.000046930567],"study_design_candidate":"design_other","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":[0.0008313992,0.00005321014,0.050637275,0.0001476425,0.000024671031,0.0000039472397,0.0016869296,0.000107721884,0.0014542412,0.0000020094992,0.00004695912,0.945004],"study_design_scores_gemma":[0.0023793918,0.01066849,0.507587,0.0000957117,0.000068078894,0.000015292557,0.00014314371,0.34000304,0.13061276,0.0053646667,0.0026059113,0.00045650246],"about_ca_topic_score_codex":0.0031684642,"about_ca_topic_score_gemma":0.0003248186,"teacher_disagreement_score":0.9445475,"about_ca_system_score_codex":0.0000031896366,"about_ca_system_score_gemma":0.000006082555,"threshold_uncertainty_score":0.47897914},"labels":[],"label_agreement":null},{"id":"W2591956318","doi":"10.1002/2016wr020108","title":"Changes in cold region flood regimes inferred from long‐record reference gauging stations","year":2017,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":48,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Canmore Museum and Geoscience Centre; University of Saskatchewan; Simon Fraser University; University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Flood myth; Snowmelt; Environmental science; Streamflow; Pluvial; Magnitude (astronomy); Watershed; Hydrology (agriculture); Flood forecasting; 100-year flood; Climate change; Climatology; Physical geography; Meteorology; Geography; Snow; Drainage basin; Geology; Cartography","score_opus":0.09412366396194162,"score_gpt":0.33370502454354717,"score_spread":0.23958136058160556,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2591956318","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9566496,0.000030832485,0.000024219864,0.008163321,0.000056500885,0.00030345874,0.000004846493,0.000033538963,0.034733668],"genre_scores_gemma":[0.98436666,0.00019817692,0.00008814474,0.000096000826,0.000058173027,0.000110457804,0.00001667086,0.000014517277,0.015051217],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9979296,0.00024440192,0.00016871036,0.00050037034,0.0004552335,0.00070172956],"domain_scores_gemma":[0.99903065,0.000100317724,0.000053324547,0.0007142131,0.000016839831,0.00008465416],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007966901,0.00013942488,0.00017993769,0.00017386177,0.0012003154,0.00020997839,0.000813198,0.00009365433,0.000768649],"category_scores_gemma":[0.00010633675,0.00010300089,0.000023493247,0.00010113107,0.00072359183,0.000303101,0.0015881162,0.00038575748,0.0009693406],"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":[0.0001093768,0.00008436606,0.9779091,0.000016474196,0.00003500629,0.00018606667,0.00937787,0.00014396351,0.0026851178,0.000056038327,0.0035811067,0.005815502],"study_design_scores_gemma":[0.00082060916,0.00015014953,0.8046613,0.00007927561,0.000011553395,0.0000012506588,0.000763057,0.00042350267,0.009267382,0.0028733974,0.18066227,0.00028626007],"about_ca_topic_score_codex":0.014996918,"about_ca_topic_score_gemma":0.027926985,"teacher_disagreement_score":0.17708117,"about_ca_system_score_codex":0.00010316075,"about_ca_system_score_gemma":0.0000029335495,"threshold_uncertainty_score":0.99980855},"labels":[],"label_agreement":null},{"id":"W2594334996","doi":"10.1002/2016wr019185","title":"Incorporating geologic information into hydraulic tomography: A general framework based on geostatistical approach","year":2017,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Groundwater flow and contamination studies","field":"Environmental Science","cited_by":72,"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":"National Natural Science Foundation of China","keywords":"Aquifer; Geology; Borehole; Aquifer properties; Geostatistics; Covariance; Hydraulic conductivity; Spatial analysis; Bayesian probability; Spatial variability; Soil science; Hydrology (agriculture); Groundwater; Geotechnical engineering; Statistics; Groundwater recharge; Remote sensing; Mathematics","score_opus":0.034101280500659345,"score_gpt":0.3059517082762063,"score_spread":0.27185042777554697,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2594334996","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9286857,0.0000067634046,0.04342972,0.0016312745,0.00005579031,0.00035640146,0.0000049681057,0.00005072662,0.02577862],"genre_scores_gemma":[0.98996675,0.0000013162676,0.008380514,0.00038635006,0.00007976562,0.00014752976,0.000041536186,0.000010190181,0.000986042],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99750185,0.00026868648,0.00025138003,0.00033316977,0.0010839901,0.0005609051],"domain_scores_gemma":[0.9990003,0.00011872422,0.00006950556,0.0006291458,0.000050287665,0.00013204735],"candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0013653274,0.00016043389,0.00016416056,0.00018041908,0.0020099015,0.00064649456,0.00072096253,0.00011822677,0.0003330403],"category_scores_gemma":[0.0002705872,0.00010470951,0.000056363264,0.00014050404,0.0007766008,0.0004717815,0.0008063784,0.00048175285,0.0010630841],"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":[0.00046680451,0.0004647021,0.7137059,0.00015069474,0.00006666746,0.00007154144,0.024862109,0.010982006,0.0017461544,0.0028354172,0.0037160567,0.24093193],"study_design_scores_gemma":[0.0010735318,0.00074902386,0.6056362,0.00006197786,0.0000142771405,0.000005879011,0.0010366439,0.21970806,0.0029658645,0.013699766,0.1544107,0.0006380569],"about_ca_topic_score_codex":0.002050121,"about_ca_topic_score_gemma":0.00005557289,"teacher_disagreement_score":0.24029386,"about_ca_system_score_codex":0.00011187811,"about_ca_system_score_gemma":0.0000056969066,"threshold_uncertainty_score":0.99971473},"labels":[],"label_agreement":null},{"id":"W2595708762","doi":"10.1002/2016wr020088","title":"Impact of eliminating fracture intersection nodes in multiphase compositional flow simulation","year":2017,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydraulic Fracturing and Reservoir Analysis","field":"Engineering","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 Waterloo; University of Guelph","funders":"Boeing","keywords":"Mechanics; Multiphase flow; Relative permeability; Capillary pressure; Fracture (geology); Fluid dynamics; Context (archaeology); Capillary action; Computer simulation; Matrix (chemical analysis); Applied mathematics; Computer science; Mathematics; Materials science; Geology; Geotechnical engineering; Physics; Porous medium","score_opus":0.03599568766738316,"score_gpt":0.3688128733185784,"score_spread":0.3328171856511953,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2595708762","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9959377,0.0000450059,0.002673954,0.00007809708,0.000030168723,0.00009691556,0.000007780629,0.000035470788,0.0010948817],"genre_scores_gemma":[0.99953115,0.000007472162,0.0001958404,0.0000019616903,0.000113679074,0.000009265128,0.000032994623,0.000020824511,0.00008683714],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99873483,0.00010789144,0.00022830737,0.00016604099,0.0004189824,0.0003439656],"domain_scores_gemma":[0.9992877,0.00013298102,0.000030805142,0.00035694469,0.00012221966,0.000069315654],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000620789,0.00011184949,0.00017993402,0.00046210422,0.00028066544,0.00014545587,0.000301068,0.000107154905,0.00016058407],"category_scores_gemma":[0.000121877136,0.00007638638,0.00012196227,0.00008814056,0.000108358974,0.00020637912,0.00009398061,0.00046740597,0.000022310074],"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":[0.00006010582,0.00004571628,0.011151378,0.000067047185,0.000058660855,0.000012365281,0.003280629,0.96671814,0.015899414,9.089594e-8,0.000028799337,0.0026776502],"study_design_scores_gemma":[0.0003866818,0.000049634946,0.0751259,0.00010083175,0.0000044523945,0.0000014293835,0.000096792144,0.9047207,0.01912072,0.000030392232,0.0002753619,0.00008710593],"about_ca_topic_score_codex":0.001661335,"about_ca_topic_score_gemma":0.00011203459,"teacher_disagreement_score":0.06397452,"about_ca_system_score_codex":0.000167541,"about_ca_system_score_gemma":0.0000061916935,"threshold_uncertainty_score":0.31149462},"labels":[],"label_agreement":null},{"id":"W2600752116","doi":"10.1002/2016wr019736","title":"A diagnostic approach to constraining flow partitioning in hydrologic models using a multiobjective optimization framework","year":2017,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":31,"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":"Natural Sciences and Engineering Research Council of Canada; Canada Excellence Research Chairs, Government of Canada","keywords":"Identifiability; Calibration; Hydrograph; Flow (mathematics); Computer science; Hydrological modelling; Watershed; Environmental science; Hydrology (agriculture); Mathematics; Statistics; Machine learning; Geology; Ecology; Surface runoff","score_opus":0.10592496392643361,"score_gpt":0.34006192676996516,"score_spread":0.23413696284353155,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2600752116","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.88763297,0.000013904628,0.07948437,0.00061800453,0.000035498422,0.0006336335,0.0000022229567,0.00003141503,0.03154796],"genre_scores_gemma":[0.9741423,0.000011373512,0.025334049,0.0001089991,0.000041134583,0.00018669013,0.0000046596433,0.000014048306,0.00015672547],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9978548,0.00031146192,0.00018697412,0.0005132277,0.0003920061,0.0007415117],"domain_scores_gemma":[0.9992566,0.00020624703,0.000036710546,0.00038859886,0.00001667736,0.00009514874],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0015236095,0.00013437663,0.00017849488,0.0001724311,0.0015027359,0.00020182497,0.00047182039,0.00011516483,0.00020955336],"category_scores_gemma":[0.0006150784,0.00010268169,0.00003088093,0.0001478879,0.00070576614,0.00035955998,0.001232711,0.00040516368,0.000118040094],"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":[0.00004226427,0.00006986974,0.05570389,0.000008089403,0.000013692535,0.000024557385,0.017380867,0.9262445,0.000089979316,0.000041307172,0.000021312422,0.00035965632],"study_design_scores_gemma":[0.00028686374,0.000066032866,0.0054352307,0.000053970252,0.000006258266,0.0000028181005,0.000756039,0.98823357,0.00018306122,0.0046679624,0.00015545869,0.00015271561],"about_ca_topic_score_codex":0.0010499804,"about_ca_topic_score_gemma":0.00006208567,"teacher_disagreement_score":0.08650934,"about_ca_system_score_codex":0.00014957158,"about_ca_system_score_gemma":0.000003100078,"threshold_uncertainty_score":0.99979717},"labels":[],"label_agreement":null},{"id":"W2606078809","doi":"10.1002/2017wr020838","title":"The essential value of long‐term experimental data for hydrology and water management","year":2017,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":157,"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":"European Research Council","keywords":"Wetland; Environmental science; Benchmark (surveying); Environmental resource management; Hydrology (agriculture); Term (time); Foundation (evidence); Process (computing); Hydrological modelling; Water resource management; Computer science; Engineering; Geography; Ecology; Geology","score_opus":0.0547068126436751,"score_gpt":0.3554055482339929,"score_spread":0.3006987355903178,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2606078809","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9878356,0.000102094855,0.000042063322,0.0033327593,0.000092939714,0.0006102194,0.000007656154,0.0000101515325,0.007966501],"genre_scores_gemma":[0.99399376,0.00009881635,0.00007122454,0.000040349376,0.000059579783,0.00010565914,0.000021332908,0.000013390918,0.005595862],"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9980797,0.00016251158,0.00018858117,0.0004939043,0.00037548627,0.00069980824],"domain_scores_gemma":[0.99850607,0.00006360993,0.000035245866,0.0013274817,0.000008943194,0.000058677622],"candidate_categories":["sts","open_science"],"consensus_categories":[],"category_scores_codex":[0.0019681451,0.00012129542,0.0001501583,0.000048719154,0.0023572985,0.0001533931,0.0017512288,0.00005608273,0.00018996577],"category_scores_gemma":[0.000017547889,0.00005926184,0.00003173207,0.000017066215,0.0023599514,0.00020287315,0.0090026045,0.00013058672,0.000120078235],"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":[0.0073647047,0.0017997568,0.5865291,0.0010308763,0.003251677,0.00065456395,0.056204755,0.0009187479,0.23715991,0.0030854847,0.044213135,0.05778733],"study_design_scores_gemma":[0.0041157934,0.0010129486,0.16592412,0.000042460426,0.00013793641,0.000019770168,0.0012615687,0.0043181917,0.4544582,0.006147264,0.36194435,0.0006173819],"about_ca_topic_score_codex":0.00019318651,"about_ca_topic_score_gemma":0.00008290451,"teacher_disagreement_score":0.42060494,"about_ca_system_score_codex":0.000022956543,"about_ca_system_score_gemma":7.028469e-7,"threshold_uncertainty_score":0.9990124},"labels":[],"label_agreement":null},{"id":"W2609657555","doi":"10.1002/2016wr020209","title":"Simulating seasonal variations of tile drainage discharge in an agricultural catchment","year":2017,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":59,"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":"","keywords":"Tile drainage; Drainage basin; Hydrology (agriculture); Drainage; Environmental science; Discharge; Agriculture; Water resource management; Geography; Geology; Archaeology; Soil science; Geotechnical engineering; Soil water; Cartography; Ecology","score_opus":0.043044408315096365,"score_gpt":0.33264029611750906,"score_spread":0.2895958878024127,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2609657555","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96878225,0.0000051924007,0.000009227836,0.0015399004,0.000022691855,0.00022602576,0.000004160905,0.0000099131175,0.029400654],"genre_scores_gemma":[0.99665725,0.0000022123177,0.00008593118,0.000016706423,0.00003584247,0.000036813915,0.000011691108,0.000005735027,0.0031478086],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99846786,0.00019809649,0.00015924902,0.00027324044,0.0004337494,0.0004678298],"domain_scores_gemma":[0.9994786,0.000043327957,0.000040256422,0.00035943012,0.000014170403,0.00006420793],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010703622,0.00008541312,0.00012287614,0.00005963174,0.0008856364,0.00008519937,0.00053747173,0.000043920263,0.00061806414],"category_scores_gemma":[0.000052638934,0.000052171607,0.00002867345,0.00006578957,0.0004292342,0.00032751964,0.001161293,0.0001918303,0.00020500507],"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":[0.000051408137,0.00026071086,0.9426299,0.000028128838,0.000027144159,0.000019581828,0.030584978,0.005811993,0.018850364,0.0003250295,0.00034154576,0.0010692446],"study_design_scores_gemma":[0.00039450062,0.00011067612,0.98557144,0.000015651394,0.0000048029224,4.6186727e-7,0.0007902209,0.004429895,0.0030652971,0.0012991533,0.0042007808,0.00011711288],"about_ca_topic_score_codex":0.0014912871,"about_ca_topic_score_gemma":0.0007092236,"teacher_disagreement_score":0.042941578,"about_ca_system_score_codex":0.000066029206,"about_ca_system_score_gemma":0.000001402087,"threshold_uncertainty_score":0.68116885},"labels":[],"label_agreement":null},{"id":"W2612321809","doi":"10.1002/2016wr019651","title":"Inferring hydraulic properties of alpine aquifers from the propagation of diurnal snowmelt signals","year":2017,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Groundwater flow and contamination studies","field":"Environmental Science","cited_by":33,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McMaster University; University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; Killam Trusts","keywords":"Hydraulic conductivity; Snowmelt; Aquifer; Hydrology (agriculture); Geology; Groundwater; Watershed; Environmental science; Groundwater model; Soil science; Groundwater flow; Geomorphology; Geotechnical engineering; Soil water; Snow","score_opus":0.07981031810635428,"score_gpt":0.3046280812988312,"score_spread":0.2248177631924769,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2612321809","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99548423,0.000109786015,0.0001023403,0.0014547331,0.000026157508,0.00025347594,0.0000037859197,0.0000071257064,0.0025583832],"genre_scores_gemma":[0.997296,0.000019442392,0.000018982379,0.00002110298,0.000054721906,0.000035459972,0.0000023553946,0.000008988426,0.0025429486],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9981363,0.00021846982,0.0002609514,0.00020035495,0.00089370605,0.00029025128],"domain_scores_gemma":[0.99927264,0.00005403235,0.00009656076,0.00046567374,0.000070233094,0.000040842027],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011192826,0.000089590656,0.0001589895,0.00004452418,0.00069481874,0.00012475299,0.0007516103,0.000035856025,0.00031333097],"category_scores_gemma":[0.00012335963,0.000043588836,0.0000480518,0.000060782953,0.0010542047,0.0002555097,0.0009519716,0.00016742003,0.00009982831],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008539861,0.000060551753,0.16565044,0.000028775086,0.000049201055,0.0000024674673,0.021445876,0.00016988536,0.7927883,0.000008588914,0.00019713971,0.019513363],"study_design_scores_gemma":[0.0002790938,0.00009005911,0.251968,0.00008517105,0.000008213633,6.9400045e-7,0.0010828186,0.0006109777,0.7314693,0.00012446416,0.014202886,0.000078342295],"about_ca_topic_score_codex":0.007779461,"about_ca_topic_score_gemma":0.00040168397,"teacher_disagreement_score":0.08631756,"about_ca_system_score_codex":0.000043475622,"about_ca_system_score_gemma":0.0000053458743,"threshold_uncertainty_score":0.9988278},"labels":[],"label_agreement":null},{"id":"W2613887458","doi":"10.1002/2016wr020102","title":"Biogeochemical hotspots: Role of small water bodies in landscape nutrient processing","year":2017,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Soil and Water Nutrient Dynamics","field":"Environmental Science","cited_by":272,"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":"Natural Sciences and Engineering Research Council of Canada","keywords":"Biogeochemical cycle; Wetland; Environmental science; Nutrient; Lake ecosystem; Ecosystem; Hydrology (agriculture); Residence time (fluid dynamics); Biogeochemistry; Ecology; Phosphorus; Nutrient cycle; Biology; Geology; Chemistry","score_opus":0.028474945365631436,"score_gpt":0.282946436982044,"score_spread":0.2544714916164126,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2613887458","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99005854,0.00011354298,0.0000017667836,0.00056204846,0.000023378336,0.00020052325,0.000008294034,0.000018982806,0.0090129515],"genre_scores_gemma":[0.99915403,0.000044214674,0.000109985376,0.000012415785,0.000050583858,0.00003789704,0.000020983518,0.000019540328,0.00055036304],"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99766254,0.00010426591,0.00028287567,0.00042776627,0.00066399685,0.00085855543],"domain_scores_gemma":[0.9992014,0.000024700148,0.000041405354,0.0005740297,0.00003383991,0.0001246258],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010026384,0.00015035774,0.00021571443,0.00016812215,0.0004119941,0.00019708063,0.0009590644,0.000119442804,0.00017991754],"category_scores_gemma":[0.000042641135,0.000085760184,0.000057056553,0.00007448322,0.0007568774,0.00019561045,0.001485883,0.0003301235,0.00028838162],"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":[0.00016138317,0.00016649348,0.9378938,0.000045984118,0.000005423303,0.00002233162,0.01192709,0.000054403405,0.044993453,0.000003922055,0.0000797332,0.0046459883],"study_design_scores_gemma":[0.0014827177,0.00020941561,0.11639694,0.00017575575,0.0000087632525,0.000012005539,0.0018960632,0.006820078,0.7762202,0.026318543,0.070009574,0.000449923],"about_ca_topic_score_codex":0.0018680374,"about_ca_topic_score_gemma":0.0001146076,"teacher_disagreement_score":0.82149684,"about_ca_system_score_codex":0.00007859106,"about_ca_system_score_gemma":0.0000043543737,"threshold_uncertainty_score":0.37066585},"labels":[],"label_agreement":null},{"id":"W2617449210","doi":"10.1002/2016wr019695","title":"Calculation of in situ acoustic sediment attenuation using off‐the‐shelf horizontal <scp>A</scp>DCPs in low concentration settings","year":2017,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Sediment Transport Processes","field":"Environmental Science","cited_by":20,"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":"PADI Foundation","keywords":"Attenuation; Sediment; Geology; In situ; Backscatter (email); Acoustic attenuation; Environmental science; Soil science; Channel (broadcasting); Acoustic Doppler current profiler; Grain size; Hydrology (agriculture); Geomorphology; Oceanography; Geotechnical engineering; Current (fluid); Meteorology; Optics","score_opus":0.028261340048895082,"score_gpt":0.29899175916040677,"score_spread":0.2707304191115117,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2617449210","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99795794,0.00007143608,0.00009439741,0.00046502452,0.00003815133,0.00041473072,0.0000023496746,0.000007955389,0.0009480161],"genre_scores_gemma":[0.99964756,0.000022599514,0.00003355457,0.000025352627,0.000038663005,0.000022597409,0.000021222237,0.000010175346,0.00017828355],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99797976,0.00021411525,0.0003222866,0.00031114352,0.00069434167,0.00047836313],"domain_scores_gemma":[0.9994099,0.00013139966,0.00008954591,0.0002883943,0.000027116233,0.000053640248],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018666881,0.000106914915,0.00014761198,0.0000887706,0.0004052819,0.00006649215,0.00039105027,0.0001199844,0.00007722641],"category_scores_gemma":[0.00014549984,0.000076245866,0.00002950694,0.00014661001,0.00053854834,0.00037466374,0.00015049336,0.00032600138,0.000052425283],"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":[0.000050484097,0.00012513553,0.46765146,0.000059233866,0.000007922569,0.000026937518,0.020373294,0.042720005,0.4675471,0.0000039712068,0.000042211195,0.0013922555],"study_design_scores_gemma":[0.0012873197,0.00020155798,0.5646509,0.00017644014,0.000015286545,0.0000051007505,0.00096079387,0.07483288,0.35449502,0.0002988973,0.0029558793,0.00011990353],"about_ca_topic_score_codex":0.0014411258,"about_ca_topic_score_gemma":0.0012269123,"teacher_disagreement_score":0.113052055,"about_ca_system_score_codex":0.00018522053,"about_ca_system_score_gemma":0.00001526371,"threshold_uncertainty_score":0.31171417},"labels":[],"label_agreement":null},{"id":"W2619854407","doi":"10.1002/2016wr020144","title":"Development of a copula‐based particle filter (<scp>C</scp>op<scp>PF</scp>) approach for hydrologic data assimilation under consideration of parameter interdependence","year":2017,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":62,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University; University of Regina","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Resampling; Copula (linguistics); Particle filter; Markov chain Monte Carlo; Data assimilation; Multivariate statistics; Monte Carlo method; Probabilistic logic; Statistical physics; Statistics; Mathematics; Computer science; Econometrics; Kalman filter; Meteorology; Physics","score_opus":0.19901979131811207,"score_gpt":0.36039347811100114,"score_spread":0.16137368679288908,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2619854407","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9815847,0.000023345112,0.013940378,0.00037976663,0.0000365353,0.00078569504,0.00002044007,0.00002098684,0.0032081553],"genre_scores_gemma":[0.9867301,0.000005712986,0.011595325,0.0001097769,0.000022144319,0.00015901912,0.000117038406,0.000016772403,0.001244134],"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.997232,0.0002944977,0.0004739635,0.00064908393,0.00069557555,0.00065488217],"domain_scores_gemma":[0.9979342,0.0006427015,0.00019552084,0.0010871501,0.000056979545,0.00008341346],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028667245,0.00018177682,0.0002928362,0.00010533377,0.00086862035,0.00011766948,0.0011260603,0.00013520932,0.00006664088],"category_scores_gemma":[0.00092204585,0.00012799031,0.000053322714,0.00008257443,0.0010435843,0.000401688,0.0020136335,0.00021692963,0.000067026136],"study_design_candidate":"bench_or_experimental","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":[0.00043612515,0.002039986,0.64978254,0.0009686143,0.0008538132,0.000030861414,0.05600814,0.050597742,0.20452935,0.00024199221,0.028097369,0.00641349],"study_design_scores_gemma":[0.0022325406,0.0004984523,0.07627513,0.00006373144,0.00007711218,0.000002966746,0.0022593876,0.27338213,0.607563,0.002989483,0.03449676,0.00015930769],"about_ca_topic_score_codex":0.00011304876,"about_ca_topic_score_gemma":0.0001288278,"teacher_disagreement_score":0.57350737,"about_ca_system_score_codex":0.00006257436,"about_ca_system_score_gemma":0.0000135914,"threshold_uncertainty_score":0.66808134},"labels":[],"label_agreement":null},{"id":"W2620827791","doi":"10.1002/2017wr020758","title":"Partitioning into hazard subregions for regional peaks‐over‐threshold modeling of heavy precipitation","year":2017,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Drought Analysis","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":"Impact","funders":"Agence Nationale de la Recherche","keywords":"Generalized Pareto distribution; Shape parameter; Precipitation; Hazard; Interpolation (computer graphics); Constant (computer programming); Inference; Spatial dependence; Mathematics; Statistics; Estimator; Probability distribution; Conditional probability distribution; Computer science; Extreme value theory; Meteorology; Geography; Artificial intelligence","score_opus":0.08754693867427932,"score_gpt":0.3583113971995698,"score_spread":0.27076445852529046,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2620827791","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99075603,0.00003610483,0.0018639739,0.0033390245,0.000023700612,0.0002215186,0.0000029932567,0.000013942084,0.0037427347],"genre_scores_gemma":[0.99758077,0.000017493192,0.00066600274,0.00004896751,0.00008612074,0.00009372826,0.000026563303,0.00001240252,0.0014679661],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983099,0.00012127509,0.00023336528,0.00034609443,0.00055053964,0.00043882328],"domain_scores_gemma":[0.9991599,0.000085440035,0.000059221682,0.00053326035,0.00005590365,0.00010631305],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0012471512,0.00009217124,0.00015841574,0.00010848219,0.001562771,0.00010911217,0.0005521448,0.00010616053,0.00043207544],"category_scores_gemma":[0.00016617493,0.000070328664,0.000112833935,0.000083226005,0.0006587244,0.0003305608,0.00036142863,0.00020839769,0.00012699694],"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":[0.0020450559,0.00055735896,0.4360389,0.00021044552,0.00026353358,0.00003284499,0.054110136,0.40312082,0.08147539,0.0018469446,0.0162298,0.0040687677],"study_design_scores_gemma":[0.00096441346,0.00031218186,0.0136795165,0.00006858847,0.000046232897,0.0000051409706,0.0004386309,0.8893435,0.015231904,0.04958152,0.030023457,0.00030492342],"about_ca_topic_score_codex":0.0016340342,"about_ca_topic_score_gemma":0.0015410488,"teacher_disagreement_score":0.48622268,"about_ca_system_score_codex":0.000069827955,"about_ca_system_score_gemma":0.000008980978,"threshold_uncertainty_score":0.9997371},"labels":[],"label_agreement":null},{"id":"W2621549028","doi":"10.1002/2016wr019804","title":"Evaluating topography‐based predictions of shallow lateral groundwater discharge zones for a boreal lake‐stream system","year":2017,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":76,"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 British Columbia; Simon Fraser University","funders":"Kempestiftelserna; Stiftelsen Oscar och Lili Lamms Minne; Vetenskapsrådet; VINNOVA; Knut och Alice Wallenbergs Stiftelse; Skogssällskapet","keywords":"Groundwater; Hydrology (agriculture); Groundwater recharge; Streamflow; Hydrograph; Environmental science; Subsurface flow; Groundwater discharge; STREAMS; Groundwater flow; Water table; Discharge; TRACER; Geology; Aquifer; Drainage basin","score_opus":0.0798448060202779,"score_gpt":0.3625527968179549,"score_spread":0.282707990797677,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2621549028","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9852917,0.000011315975,0.00030941967,0.001394126,0.00010126328,0.0007985326,0.000041978594,0.000053290114,0.011998355],"genre_scores_gemma":[0.99512583,0.000003715565,0.0004975887,0.000019121546,0.000094123316,0.00040672303,0.00004632123,0.000019968793,0.0037866028],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9976563,0.0002314029,0.0002899477,0.00044962025,0.0006365459,0.0007361753],"domain_scores_gemma":[0.9990641,0.0000869448,0.00007898684,0.00063566014,0.000043817006,0.000090519956],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0020286166,0.00016018999,0.00023571568,0.00015174974,0.001909888,0.00014961832,0.000695858,0.00008923282,0.00035921443],"category_scores_gemma":[0.000050444687,0.000101854595,0.00013241686,0.00007280879,0.0009245055,0.00024531878,0.00077204785,0.00018303517,0.00009867426],"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":[0.0006129368,0.00037594826,0.980689,0.00050185004,0.00025065333,0.00001910523,0.0073227063,0.0020681904,0.004172719,0.00020143528,0.0017838159,0.0020016527],"study_design_scores_gemma":[0.0051632216,0.0032342668,0.80248857,0.00037655275,0.0002190665,0.000008591849,0.0015129409,0.07743213,0.016485175,0.0021312395,0.09010781,0.0008404382],"about_ca_topic_score_codex":0.0015563017,"about_ca_topic_score_gemma":0.0011913662,"teacher_disagreement_score":0.17820042,"about_ca_system_score_codex":0.00005349654,"about_ca_system_score_gemma":0.0000036629374,"threshold_uncertainty_score":0.99938947},"labels":[],"label_agreement":null},{"id":"W2624772984","doi":"10.1002/2017wr020809","title":"Effects of episodic rainfall on a subterranean estuary","year":2017,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Groundwater and Isotope Geochemistry","field":"Earth and Planetary Sciences","cited_by":60,"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":"National Natural Science Foundation of China","keywords":"Groundwater; Aquifer; Submarine groundwater discharge; Plume; Hydrology (agriculture); Estuary; Environmental science; Geology; Infiltration (HVAC); Saltwater intrusion; Oceanography; Meteorology; Geotechnical engineering","score_opus":0.04104470076192667,"score_gpt":0.28855266905851157,"score_spread":0.2475079682965849,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2624772984","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9378537,0.00014366533,0.0000016682684,0.00035971106,0.00008612225,0.0002283881,0.00000933711,0.000018941655,0.061298493],"genre_scores_gemma":[0.9933255,0.000027377264,0.000024948553,0.00004144163,0.00016667868,0.000004408091,0.000032431184,0.0000061943783,0.0063710227],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9978713,0.00020288619,0.00018372617,0.00033699887,0.00073393434,0.0006712],"domain_scores_gemma":[0.9987855,0.0002201559,0.00004376727,0.0007008786,0.00006908761,0.00018060037],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0009832426,0.0001376019,0.00020601445,0.00014391945,0.00071498984,0.0002714605,0.001060693,0.00009251756,0.0009859884],"category_scores_gemma":[0.00014269164,0.00008478657,0.0000788284,0.000052354964,0.0005138855,0.00014469842,0.00011360516,0.00037449246,0.00083546306],"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":[0.0010841029,0.00022031718,0.820407,0.0012598011,0.00011783235,0.0006361073,0.012990901,0.00010862728,0.055305667,0.000019419556,0.0021033725,0.10574688],"study_design_scores_gemma":[0.0008462278,0.0006092276,0.65509146,0.00013071837,0.000007807794,0.000013200582,0.00013300304,0.00035014408,0.29230922,0.0010131041,0.04927478,0.00022112612],"about_ca_topic_score_codex":0.00572311,"about_ca_topic_score_gemma":0.00025560736,"teacher_disagreement_score":0.23700355,"about_ca_system_score_codex":0.000004912511,"about_ca_system_score_gemma":0.000013425264,"threshold_uncertainty_score":0.9999425},"labels":[],"label_agreement":null},{"id":"W2625154492","doi":"10.1002/2016wr019729","title":"Mixing as a driver of temporal variations in river hydrochemistry: 2. Major and trace element concentration dynamics in the Andes‐Amazon transition","year":2017,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Groundwater and Isotope Geochemistry","field":"Earth and Planetary Sciences","cited_by":44,"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; Clarendon Fund; Center for Dark Energy Biosphere Investigations; National Science Foundation","keywords":"Tributary; Trace element; Hydrology (agriculture); Drainage basin; Surface runoff; STREAMS; Dilution; Environmental science; Floodplain; Foreland basin; Biogeochemical cycle; Geology; Environmental chemistry; Chemistry; Structural basin; Geomorphology; Ecology; Geochemistry; Geography","score_opus":0.02062774563983617,"score_gpt":0.2736280904246637,"score_spread":0.2530003447848275,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2625154492","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99369997,0.000066062945,0.000027140026,0.000995454,0.000012200379,0.00023431257,0.000026037409,0.0000034479574,0.0049353736],"genre_scores_gemma":[0.9995478,0.000023255845,0.000057106045,0.000014762594,0.00003223998,0.00000562774,0.000160482,0.0000022181127,0.0001565568],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99873817,0.00016058025,0.00019400945,0.00021020505,0.000388334,0.00030869318],"domain_scores_gemma":[0.999594,0.000056817986,0.00003835984,0.00023001738,0.000038358467,0.00004247526],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011127241,0.00008025012,0.00010712786,0.00005880279,0.00028890732,0.00020544972,0.00030416335,0.00006801362,0.00019458873],"category_scores_gemma":[0.000027416105,0.000052033214,0.00002104978,0.0000735806,0.00025408482,0.00021204223,0.000023717766,0.00024016561,0.000008533956],"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":[0.00015408917,0.00006343373,0.95533645,0.00010925741,0.000011368156,0.000043428183,0.031414703,0.00012399486,0.009351166,0.000027000118,0.000021703803,0.0033434168],"study_design_scores_gemma":[0.0019123455,0.00020742553,0.8777753,0.00013813171,0.000012500708,0.000027834252,0.0065703425,0.07420037,0.034633208,0.0029117086,0.0013668275,0.00024401526],"about_ca_topic_score_codex":0.013906738,"about_ca_topic_score_gemma":0.0058100107,"teacher_disagreement_score":0.07756115,"about_ca_system_score_codex":0.000019642586,"about_ca_system_score_gemma":0.000017799452,"threshold_uncertainty_score":0.99265975},"labels":[],"label_agreement":null},{"id":"W2680131807","doi":"10.1002/2017wr020623","title":"Fluxes of particulates and nutrients during hydrologically defined seasonal periods in an ice‐affected great Arctic river, the <scp>M</scp>ackenzie","year":2017,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Arctic and Antarctic ice dynamics","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":false,"ca_institutions":"Simon Fraser University","funders":"Environment Canada; Natural Sciences and Engineering Research Council of Canada; North Carolina State University","keywords":"Environmental science; Hydrology (agriculture); Nutrient; Discharge; Particulates; Arctic; Sediment; Dissolved organic carbon; Biogeochemistry; Oceanography; Geology; Drainage basin; Ecology; Geography","score_opus":0.029549447196107373,"score_gpt":0.2710810580589947,"score_spread":0.24153161086288732,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2680131807","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99867266,0.00016840904,0.0000014394554,0.0002962683,0.000037120324,0.00028485872,0.000024474246,0.000017033415,0.0004977484],"genre_scores_gemma":[0.9992934,0.000110656736,0.000114514056,0.000025416937,0.00006745056,0.00000487497,0.000046615274,0.0000070596634,0.0003300173],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99739486,0.00050542713,0.00024729455,0.00040029464,0.00065268145,0.0007994672],"domain_scores_gemma":[0.99859726,0.0005070402,0.00007500495,0.0004974937,0.0001177141,0.0002054776],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012124879,0.00017089464,0.0002496973,0.00012862503,0.0011383847,0.00036716435,0.00074542087,0.000109997985,0.00021478624],"category_scores_gemma":[0.000554272,0.00009207765,0.000049277925,0.000117628755,0.0015148349,0.0003072201,0.00022823253,0.00046021098,0.000053322154],"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":[0.00008304964,0.00004952044,0.99104625,0.000075814045,0.000022347333,0.00006394897,0.0065882932,0.00028523523,0.00058708154,0.000010611743,0.0000064596093,0.0011813593],"study_design_scores_gemma":[0.0006322748,0.00032160716,0.9837239,0.00005316767,0.000010069346,0.000026647958,0.00093653315,0.012418053,0.00042910347,0.00071135064,0.00067562086,0.0000616838],"about_ca_topic_score_codex":0.0045084525,"about_ca_topic_score_gemma":0.0018592366,"teacher_disagreement_score":0.012132818,"about_ca_system_score_codex":0.000010850006,"about_ca_system_score_gemma":0.000021558115,"threshold_uncertainty_score":0.87556493},"labels":[],"label_agreement":null},{"id":"W2689015242","doi":"10.1002/2016wr020014","title":"Fracturing‐induced release of radiogenic <sup>4</sup><scp>H</scp>e and <sup>234</sup><scp>U</scp> into groundwater during the last deglaciation: An alternative source to crustal helium fluxes in periglacial aquifers","year":2017,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Methane Hydrates and Related Phenomena","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":"Université du Québec à Montréal","funders":"Medical Research Council; Natural Sciences and Engineering Research Council of Canada","keywords":"Radiogenic nuclide; Geology; Groundwater; Aquifer; Glacial period; Diffusion; Authigenic; Helium; Deglaciation; Geochemistry; Geomorphology; Sedimentary rock; Mantle (geology); Chemistry; Physics","score_opus":0.02275256015161582,"score_gpt":0.2808130299780566,"score_spread":0.2580604698264408,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2689015242","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9954866,0.00015044365,0.000021002223,0.00032591404,0.00006590068,0.0010236363,0.00001070755,0.000043812386,0.0028719502],"genre_scores_gemma":[0.9932267,0.000094514304,0.00012293359,0.000081527236,0.00045535015,0.00012807063,0.000019967134,0.00009593193,0.005775009],"study_design_codex":"qualitative","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99364537,0.0010917037,0.00071653206,0.001189694,0.0017167015,0.0016400078],"domain_scores_gemma":[0.9972375,0.0005253315,0.00020732339,0.0012796818,0.00008938632,0.0006607993],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0025259333,0.0005139313,0.0005557317,0.00047632796,0.002048117,0.0008139219,0.0018231623,0.00032423614,0.00028060604],"category_scores_gemma":[0.0007290569,0.0003372313,0.00015644214,0.0003983389,0.0011793883,0.0008672279,0.0022777014,0.001285232,0.00038785025],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00038086798,0.00069776183,0.21608447,0.0002655163,0.00030551432,0.00025856082,0.5264795,0.11372601,0.13728967,0.000021472297,0.0003502315,0.004140457],"study_design_scores_gemma":[0.008443129,0.0029086384,0.29609087,0.00049482414,0.00012965199,0.00019011073,0.08250167,0.06094483,0.43566555,0.0016281367,0.10997062,0.0010319736],"about_ca_topic_score_codex":0.0076953177,"about_ca_topic_score_gemma":0.0005801171,"teacher_disagreement_score":0.4439778,"about_ca_system_score_codex":0.00041997546,"about_ca_system_score_gemma":0.000031069478,"threshold_uncertainty_score":0.999908},"labels":[],"label_agreement":null},{"id":"W2732841989","doi":"10.1002/2017wr020640","title":"Water security, risk, and economic growth: Insights from a dynamical systems model","year":2017,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Water resources management and optimization","field":"Engineering","cited_by":94,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"Social Sciences and Humanities Research Council of Canada; Department for International Development; Natural Environment Research Council; Sight Research UK","keywords":"Poverty trap; Investment (military); Natural resource economics; Water security; Poverty; Productivity; Economics; Context (archaeology); Business; Water resources; Capital (architecture); Economic growth; Geography","score_opus":0.024337307591090943,"score_gpt":0.25135633547021935,"score_spread":0.22701902787912842,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2732841989","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9886278,0.00023746293,0.0006108384,0.00013882895,0.00014399306,0.00036268617,0.000029556817,0.0001656457,0.009683187],"genre_scores_gemma":[0.99798846,0.00022438767,0.0000723217,0.0000044276203,0.00026639187,0.00005510031,0.000081063474,0.000068363275,0.0012394765],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9981244,0.00015291722,0.0002705886,0.00042930056,0.00037011693,0.0006526331],"domain_scores_gemma":[0.9990251,0.000036542002,0.000025080974,0.00068663026,0.000050230745,0.00017642509],"candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0004517725,0.00022377323,0.0002569636,0.00029459037,0.000789866,0.0015813271,0.00072482834,0.00015976964,0.00004543553],"category_scores_gemma":[0.0000143315865,0.00014467942,0.000050899882,0.000021571865,0.00022715611,0.00042806237,0.0008601248,0.00047790215,0.0003905239],"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":[0.00022984298,0.00008147875,0.019147772,0.0006160376,0.00048894226,0.00010995179,0.05102527,0.91688025,0.0068710544,0.0007923776,0.0029069718,0.0008500417],"study_design_scores_gemma":[0.0004958129,0.000025883419,0.0006278705,0.000035064633,0.00001704774,0.0000013142135,0.00012872422,0.97947377,0.003881203,0.0038975559,0.011166599,0.0002491668],"about_ca_topic_score_codex":0.0029346612,"about_ca_topic_score_gemma":0.00028397993,"teacher_disagreement_score":0.0625935,"about_ca_system_score_codex":0.000106858446,"about_ca_system_score_gemma":0.0000025054755,"threshold_uncertainty_score":0.99945515},"labels":[],"label_agreement":null},{"id":"W2736227529","doi":"10.1002/2016wr020250","title":"Functional forms and price elasticities in a discrete continuous choice model of the residential water demand","year":2017,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Water resources management and optimization","field":"Engineering","cited_by":27,"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":"International Development Research Centre","keywords":"Econometrics; Economics; Relevance (law); Price elasticity of demand; Consumption (sociology); Elasticity (physics); Quadratic equation; Microeconomics; Perspective (graphical); Discrete choice; Water utility; Demand curve; Mathematical economics; Mathematics; Environmental science","score_opus":0.03097979728512743,"score_gpt":0.25800948499674425,"score_spread":0.22702968771161683,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2736227529","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9927362,0.00005690063,0.001033151,0.00031361694,0.000055622517,0.00030961097,0.00000516265,0.000028493405,0.005461216],"genre_scores_gemma":[0.99243265,0.000028074372,0.000040367224,0.0000059981166,0.00007639949,0.00003531733,0.000007969645,0.00002693078,0.00734629],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985213,0.00006734327,0.00023471279,0.00019662186,0.00049416494,0.0004858028],"domain_scores_gemma":[0.999436,0.000036728554,0.000024719837,0.00039251917,0.000060826154,0.000049189162],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006251241,0.00012659308,0.0001616571,0.00021036391,0.0004197347,0.00034963177,0.000453269,0.00007118473,0.000041554416],"category_scores_gemma":[0.000044376797,0.00006468357,0.000041375653,0.000047870268,0.00030236668,0.0003109661,0.0006394657,0.0002684718,0.00001108403],"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":[0.00028014983,0.000041883777,0.060375683,0.00065165584,0.00012197532,0.000009571828,0.017254801,0.87837356,0.041303605,0.00027034347,0.0008858696,0.00043087182],"study_design_scores_gemma":[0.0019883174,0.00008227025,0.09195643,0.0002158507,0.000030789466,0.0000038469634,0.00047685072,0.79367584,0.09819074,0.0029716997,0.010019011,0.00038836076],"about_ca_topic_score_codex":0.00022477571,"about_ca_topic_score_gemma":0.00021022091,"teacher_disagreement_score":0.08469775,"about_ca_system_score_codex":0.0000315126,"about_ca_system_score_gemma":0.0000030496783,"threshold_uncertainty_score":0.33715072},"labels":[],"label_agreement":null},{"id":"W2741991618","doi":"10.1002/2017wr020834","title":"Using system dynamics simulation for assessment of hydropower system safety","year":2017,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Flood Risk Assessment and Management","field":"Environmental Science","cited_by":35,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"BC Hydro (Canada); Western University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Hydropower; Upgrade; System dynamics; Vulnerability (computing); Computer science; Reliability engineering; Risk analysis (engineering); Function (biology); Systems engineering; Engineering; Computer security","score_opus":0.09460087951062092,"score_gpt":0.41927279109022225,"score_spread":0.32467191157960135,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2741991618","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.899371,0.000007721878,0.047315642,0.00012371692,0.00017975479,0.0015529288,0.00002230127,0.000045737215,0.05138117],"genre_scores_gemma":[0.9950791,0.0000021820285,0.0031709443,0.0000021406552,0.000060844748,0.00004603378,0.000018399522,0.000024995363,0.0015953544],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99762785,0.00018508676,0.0003444054,0.0003631837,0.00096869393,0.0005107477],"domain_scores_gemma":[0.998856,0.000081509155,0.00014133759,0.00078273204,0.000053036143,0.00008535931],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002509005,0.00012752728,0.00021639808,0.00010455151,0.0011243846,0.00021176798,0.0006993994,0.000072601746,0.000089935515],"category_scores_gemma":[0.0000199952,0.000089744244,0.00008521375,0.000065959925,0.00026719953,0.00024224274,0.0009765466,0.00013996346,0.00004186827],"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":[0.000473137,0.00026655616,0.11521473,0.0020866315,0.00019239218,0.000033804692,0.0020015496,0.8530132,0.012972746,0.0072904387,0.00034667307,0.0061081494],"study_design_scores_gemma":[0.0007223433,0.00010189674,0.010879865,0.000107738495,0.000021309677,9.3822973e-7,0.0011408255,0.9784453,0.00084055454,0.000036442012,0.0075808004,0.00012199947],"about_ca_topic_score_codex":0.0019295004,"about_ca_topic_score_gemma":0.0001796836,"teacher_disagreement_score":0.12543209,"about_ca_system_score_codex":0.0011819955,"about_ca_system_score_gemma":0.000008476379,"threshold_uncertainty_score":0.8647971},"labels":[],"label_agreement":null},{"id":"W2742038783","doi":"10.1002/2017wr020599","title":"Dissolved oxygen dynamics under ice: Three winters of high‐frequency data from <scp>L</scp>ake <scp>T</scp>ovel, <scp>I</scp>taly","year":2017,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":56,"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":"European Cooperation in Science and Technology; Global Lake Ecological Observatory Network","keywords":"Diel vertical migration; Environmental science; Snow; Atmospheric sciences; Ecosystem; Photosynthesis; Climatology; Sea ice; Oceanography; Ecology; Biology; Geology; Meteorology; Botany; Geography","score_opus":0.0647058056918776,"score_gpt":0.28850814014800014,"score_spread":0.22380233445612252,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2742038783","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9123541,0.00084696204,0.00017532211,0.0003409773,0.00055288005,0.00074717304,0.0034101044,0.000101415026,0.081471026],"genre_scores_gemma":[0.9703592,0.00023831752,0.00023998182,0.000081379716,0.0007095065,0.000015726142,0.004572849,0.00006333842,0.023719681],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9918703,0.0006054847,0.0010485041,0.001677749,0.002537861,0.0022601006],"domain_scores_gemma":[0.9912753,0.0028627154,0.00045508455,0.0042119697,0.0003917817,0.00080313184],"candidate_categories":["metaepi_narrow","sts","scholarly_communication","open_science","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0028445863,0.0006530988,0.0009485976,0.0005311156,0.0014009177,0.0016327393,0.006891358,0.00046115904,0.0005249248],"category_scores_gemma":[0.002215883,0.00047930784,0.00024363263,0.00041437498,0.0009751676,0.0013037754,0.0023061489,0.0013124628,0.0016307271],"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":[0.000078787416,0.00033327975,0.9297949,0.00071886997,0.0011638729,0.0005396506,0.009075228,0.00083840353,0.0037547878,0.00031444797,0.040300544,0.0130872205],"study_design_scores_gemma":[0.0022840104,0.000891481,0.70736223,0.0004572661,0.0001539674,0.00005415977,0.01730075,0.04960428,0.0028338244,0.011011779,0.20773722,0.00030902197],"about_ca_topic_score_codex":0.13444968,"about_ca_topic_score_gemma":0.16175675,"teacher_disagreement_score":0.22243267,"about_ca_system_score_codex":0.000058903464,"about_ca_system_score_gemma":0.00016333663,"threshold_uncertainty_score":0.99989915},"labels":[],"label_agreement":null},{"id":"W2745502835","doi":"10.1002/2017wr020634","title":"Calibration of a modified temperature‐light intensity logger for quantifying water electrical conductivity","year":2017,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Fish Ecology and Management Studies","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":"Queen's University","funders":"","keywords":"Data logger; Calibration; Environmental science; Remote sensing; Statistics; Mathematics; Computer science; Geography","score_opus":0.11206924019215274,"score_gpt":0.3473933925717438,"score_spread":0.23532415237959103,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2745502835","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.990082,0.0000053844046,0.000094822986,0.005064316,0.00007212561,0.0004953888,0.0000027280796,0.00001719486,0.0041659856],"genre_scores_gemma":[0.99551123,0.0000069116013,0.00007592968,0.0000894594,0.000048263548,0.00007807411,0.000008952104,0.000010328453,0.0041708625],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9984253,0.00014895869,0.0001676149,0.00036005143,0.00033830365,0.0005597586],"domain_scores_gemma":[0.999376,0.000063021755,0.000036364447,0.00042359915,0.000049199327,0.000051805644],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0014561623,0.000103795835,0.00020785959,0.00007768057,0.0013329572,0.00010729912,0.00044270814,0.00011122247,0.0002647516],"category_scores_gemma":[0.00017963033,0.0000592838,0.000056724577,0.00004328812,0.0006110731,0.0002883009,0.0009789515,0.0002555845,0.00007034098],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00086871255,0.00026823586,0.13174218,0.0000976837,0.00011553284,0.00001875764,0.0064429333,0.00015643914,0.82144916,0.0002736328,0.038179837,0.00038691863],"study_design_scores_gemma":[0.00076227554,0.00032214966,0.09465802,0.000012584182,0.000018836412,0.0000025759894,0.00019569627,0.0028858392,0.871392,0.0026497869,0.026885407,0.0002147991],"about_ca_topic_score_codex":0.00037394743,"about_ca_topic_score_gemma":0.0005455025,"teacher_disagreement_score":0.0499429,"about_ca_system_score_codex":0.00005726724,"about_ca_system_score_gemma":0.0000023321343,"threshold_uncertainty_score":0.99996716},"labels":[],"label_agreement":null},{"id":"W2745987870","doi":"10.1002/2017wr021063","title":"Lattice Boltzmann simulation of CO<sub>2</sub>reactive transport in network fractured media","year":2017,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Lattice Boltzmann Simulation Studies","field":"Engineering","cited_by":36,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Athabasca University","funders":"","keywords":"Porous medium; Lattice Boltzmann methods; Fracture (geology); Porosity; Matrix (chemical analysis); Materials science; Carbon sequestration; Environmental science; Carbon dioxide; Geology; Petroleum engineering; Mechanics; Composite material; Chemistry; Physics","score_opus":0.05189422911186697,"score_gpt":0.3340278950959621,"score_spread":0.2821336659840951,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2745987870","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99325544,0.00023494434,0.00022920252,0.00011957701,0.00011828312,0.00040694943,0.000017461703,0.000092062895,0.005526089],"genre_scores_gemma":[0.9993838,0.00004563616,0.000058026057,0.000010272778,0.00030816422,0.000034313714,0.000028814116,0.00006156156,0.00006939646],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9973797,0.00016041056,0.0004671861,0.00032432933,0.0009159017,0.00075245154],"domain_scores_gemma":[0.9982099,0.00064936426,0.000069884714,0.00070017367,0.00025657823,0.00011410423],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014481556,0.00021689598,0.00040741483,0.00032032994,0.00037620458,0.00009203407,0.0004921353,0.00019290642,0.000037823494],"category_scores_gemma":[0.00021805573,0.00017504102,0.00008097661,0.00018524204,0.0003129585,0.00039847195,0.00011852238,0.0006376479,0.000104620965],"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":[0.00020700769,0.000043281005,0.05390127,0.00014367168,0.00011789316,0.00004482611,0.02611417,0.90373594,0.013697555,0.000015324058,0.00018161205,0.0017974358],"study_design_scores_gemma":[0.0017849834,0.000070481925,0.69319457,0.00022428078,0.000035297042,0.0000013787444,0.0006383776,0.15224625,0.1262395,0.0011057123,0.023963766,0.00049541],"about_ca_topic_score_codex":0.00009265293,"about_ca_topic_score_gemma":0.00026848735,"teacher_disagreement_score":0.7514897,"about_ca_system_score_codex":0.00010445434,"about_ca_system_score_gemma":0.000012509932,"threshold_uncertainty_score":0.71379656},"labels":[],"label_agreement":null},{"id":"W2747989362","doi":"10.1002/2016wr020154","title":"Informing water harvesting technology contract design using choice experiments","year":2017,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","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":"University of Waterloo","funders":"Seventh Framework Programme; European Commission","keywords":"Vulnerability (computing); Context (archaeology); Sample (material); Order (exchange); Business; Environmental economics; Economics; Public economics; Marketing; Environmental resource management; Computer science; Geography; Computer security; Finance","score_opus":0.4464459332995424,"score_gpt":0.3617141428194695,"score_spread":0.0847317904800729,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2747989362","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9892777,0.00021327524,0.0008440948,0.0005352819,0.0001124494,0.00031794273,0.0000054111765,0.000029371553,0.008664448],"genre_scores_gemma":[0.9953782,0.000020584337,0.0012120897,0.000035792476,0.00013239139,0.000049304526,0.000007907252,0.00003303001,0.003130694],"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99820364,0.00004267066,0.00046875674,0.000421887,0.00008829842,0.00077472255],"domain_scores_gemma":[0.99904734,0.000046133213,0.00013513645,0.00065766246,0.000023337845,0.00009038816],"candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0023136889,0.00014213107,0.0002654691,0.00041291793,0.0013253,0.00052843604,0.00066578866,0.00016056317,0.0007032527],"category_scores_gemma":[0.00018490665,0.00011539745,0.00005251062,0.00003646127,0.00032742985,0.0007458988,0.0005782871,0.0003200078,0.002176929],"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":[0.00005959984,0.00012497469,0.9015241,0.000046852263,0.00012584464,0.000025045683,0.009057347,0.0019675428,0.0785634,0.0012898836,0.00008828305,0.007127088],"study_design_scores_gemma":[0.0030352208,0.00032854744,0.1052544,0.00011837673,0.000011151256,0.000035170524,0.0010071292,0.047378726,0.63138694,0.013703078,0.19667986,0.001061392],"about_ca_topic_score_codex":0.001835351,"about_ca_topic_score_gemma":0.000012442209,"teacher_disagreement_score":0.7962698,"about_ca_system_score_codex":0.00025514758,"about_ca_system_score_gemma":0.0000052263804,"threshold_uncertainty_score":0.99997485},"labels":[],"label_agreement":null},{"id":"W2751512204","doi":"10.1002/2016wr019981","title":"Information theory‐based decision support system for integrated design of multivariable hydrometric networks","year":2017,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrological Forecasting Using AI","field":"Environmental Science","cited_by":52,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Streamflow; Multivariable calculus; Mutual information; Computer science; Entropy (arrow of time); Information theory; Optimal design; Bayesian network; Data mining; Mathematical optimization; Mathematics; Machine learning; Artificial intelligence; Engineering; Statistics; Control engineering","score_opus":0.0720373437083821,"score_gpt":0.3252005159347391,"score_spread":0.253163172226357,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2751512204","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6610801,0.0000037375423,0.33478543,0.000049107362,0.00007590839,0.0007577164,0.000009940626,0.00004993978,0.0031880825],"genre_scores_gemma":[0.98988026,8.5728374e-7,0.009479925,0.00001655958,0.000024158237,0.00007489839,0.000026170474,0.000015276539,0.00048191648],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9975545,0.00041808214,0.00039160415,0.00023231647,0.000763903,0.00063958665],"domain_scores_gemma":[0.99806905,0.00089663826,0.00014448055,0.0006607516,0.00009797676,0.00013112833],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008180977,0.00013238177,0.00022102833,0.00027242178,0.00087159284,0.000273712,0.0010050349,0.00017134588,0.00055135525],"category_scores_gemma":[0.0019020578,0.0000797474,0.00006294186,0.00033554086,0.0004954603,0.00037454817,0.00048398876,0.00027641482,0.0003151197],"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":[0.0016036442,0.000112437905,0.0044745407,0.000091591784,0.00002250812,0.0000073728625,0.0012497824,0.9319654,0.009051538,0.00006429247,0.0013913971,0.049965482],"study_design_scores_gemma":[0.0008931853,0.0005696029,0.0009845197,0.00009853569,0.00000846575,0.0000037815769,0.00006197505,0.9540622,0.024236802,0.00046132077,0.018477308,0.00014228457],"about_ca_topic_score_codex":0.00042359479,"about_ca_topic_score_gemma":0.0000029781447,"teacher_disagreement_score":0.3288001,"about_ca_system_score_codex":0.00022383378,"about_ca_system_score_gemma":0.0000123750315,"threshold_uncertainty_score":0.67036754},"labels":[],"label_agreement":null},{"id":"W2753137076","doi":"10.1002/2017wr020948","title":"Influence of instantaneous and time‐averaged groundwater flows induced by waves on the fate of contaminants in a beach aquifer","year":2017,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Groundwater flow and contamination studies","field":"Environmental Science","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Foundation for Innovation","keywords":"Aquifer; Residence time (fluid dynamics); Groundwater; Hydrology (agriculture); Soil science; Environmental science; Geology; Sediment; Surface water; Flow (mathematics); Mechanics; Geotechnical engineering; Geomorphology; Environmental engineering","score_opus":0.03159716782874348,"score_gpt":0.2842517361205803,"score_spread":0.2526545682918368,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2753137076","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9970858,0.000025184425,0.0000022185527,0.00071967,0.000009078841,0.00036081026,0.0000080565615,0.000005479319,0.0017836761],"genre_scores_gemma":[0.9941491,0.000016345579,0.0000049469977,0.000042714986,0.000007542588,0.000039496972,0.0000030896274,0.000012680219,0.0057241134],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99782276,0.00035925116,0.00028476052,0.0003300515,0.0007587018,0.0004444562],"domain_scores_gemma":[0.9991127,0.00018535639,0.000078587866,0.00052258547,0.00004394789,0.000056805817],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014959332,0.00014819413,0.00025874187,0.00010306542,0.0004978795,0.000109715234,0.00066835,0.00007462524,0.00015101593],"category_scores_gemma":[0.0000962734,0.00008039379,0.000031065934,0.00008739421,0.00083416316,0.00020776215,0.0008432154,0.00029661262,0.000094544135],"study_design_candidate":"bench_or_experimental","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":[0.0002262052,0.00016370793,0.05801243,0.000033854478,0.000032325865,0.00003254923,0.02251847,0.00005927925,0.91183746,0.000018205585,0.0002875914,0.0067779017],"study_design_scores_gemma":[0.0013098276,0.00073665695,0.58056504,0.00014615207,0.000009666558,0.0000087555945,0.0013670354,0.00056995783,0.39835843,0.00018619714,0.016439289,0.0003029894],"about_ca_topic_score_codex":0.0029946938,"about_ca_topic_score_gemma":0.00045062322,"teacher_disagreement_score":0.5225526,"about_ca_system_score_codex":0.000065430206,"about_ca_system_score_gemma":0.0000037533864,"threshold_uncertainty_score":0.45271012},"labels":[],"label_agreement":null},{"id":"W2754000363","doi":"10.1002/2017wr020596","title":"Twentieth‐Century Hydrometeorological Reconstructions to Study the Multidecadal Variations of the Water Cycle Over France","year":2017,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Climate variability and models","field":"Environmental Science","cited_by":43,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Pacific Institute for Climate Solutions; University of Victoria","funders":"Climate Program Office; Agence Nationale de la Recherche; Office of Science; National Oceanic and Atmospheric Administration; Biological and Environmental Research; European Commission; U.S. Department of Energy","keywords":"Climatology; Hydrometeorology; Environmental science; Downscaling; Evapotranspiration; Atlantic multidecadal oscillation; Precipitation; Forcing (mathematics); Water cycle; Snow; Climate change; Meteorology; North Atlantic oscillation; Geology; Geography; Oceanography","score_opus":0.05336586401818532,"score_gpt":0.3335813158984746,"score_spread":0.2802154518802893,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2754000363","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9918162,0.0000037889226,0.000023746918,0.004398518,0.0001834072,0.0009050016,0.000017213888,0.000013412941,0.0026386783],"genre_scores_gemma":[0.9979108,0.000004341204,0.00011912737,0.00006702205,0.000047325047,0.000109405504,0.0000013649909,0.000010372648,0.0017302441],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9973432,0.0006286955,0.00026858615,0.00040437077,0.00080787175,0.00054730836],"domain_scores_gemma":[0.99823946,0.00014390597,0.00004194265,0.0014431197,0.00003168037,0.000099897974],"candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0024641433,0.00011096427,0.00014447208,0.000044217326,0.0023858086,0.00018742053,0.0015230359,0.00007451567,0.0032738945],"category_scores_gemma":[0.00021396148,0.000040671228,0.000091599766,0.00012508882,0.0009908107,0.00016581177,0.002629574,0.00043743342,0.0003670531],"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":[0.00016590778,0.0013980593,0.782352,0.000015372727,0.00012429696,0.000007228639,0.07211241,0.008278466,0.12845457,0.00010012784,0.0005368123,0.0064547816],"study_design_scores_gemma":[0.0007654039,0.00024207472,0.91289467,0.000012180621,0.000027671058,0.0000073746314,0.0011285533,0.003065194,0.019538688,0.0047963844,0.057313114,0.00020868989],"about_ca_topic_score_codex":0.0034758511,"about_ca_topic_score_gemma":0.00038584167,"teacher_disagreement_score":0.13054271,"about_ca_system_score_codex":0.000059239504,"about_ca_system_score_gemma":0.0000040176637,"threshold_uncertainty_score":0.99891293},"labels":[],"label_agreement":null},{"id":"W2755017014","doi":"10.1002/2017wr021257","title":"Pre‐Darcy Flow in Porous Media","year":2017,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydraulic Fracturing and Reservoir Analysis","field":"Engineering","cited_by":123,"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","funders":"","keywords":"Darcy's law; Porous medium; Mechanics; Pressure gradient; Permeability (electromagnetism); Fluid dynamics; Flow (mathematics); Geotechnical engineering; Materials science; Geology; Porosity; Physics; Chemistry","score_opus":0.0319588303863443,"score_gpt":0.3021848238594868,"score_spread":0.2702259934731425,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2755017014","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97608733,0.00033061547,0.00007197231,0.0006327544,0.000102203136,0.00011420345,0.000004293547,0.00010546766,0.022551162],"genre_scores_gemma":[0.99494857,0.00012560716,0.00009981909,0.0000068345316,0.00028134117,0.00003353919,0.000011153612,0.0000409451,0.004452207],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.99787575,0.0001216609,0.00021875993,0.00026943316,0.0006877927,0.0008265882],"domain_scores_gemma":[0.9986855,0.00008468569,0.000012004353,0.0009927102,0.000053766256,0.0001713809],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012153276,0.00014019138,0.00022364466,0.0004305181,0.00038924065,0.0005193253,0.001002941,0.00013442608,0.00027706142],"category_scores_gemma":[0.00018854294,0.0000949233,0.000068001136,0.000110354405,0.00019558525,0.0002297449,0.0003191342,0.00073365786,0.00038790115],"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":[0.0001910616,0.0002275062,0.039861567,0.0006970229,0.0003788931,0.0018038357,0.07359488,0.7681971,0.0129643455,0.000011594674,0.008380388,0.09369179],"study_design_scores_gemma":[0.0018954597,0.00010909282,0.12945047,0.00032945647,0.000024120043,0.00002748237,0.0008161886,0.29945078,0.08448797,0.0013315968,0.4810951,0.000982288],"about_ca_topic_score_codex":0.0015662007,"about_ca_topic_score_gemma":0.0011136598,"teacher_disagreement_score":0.47271472,"about_ca_system_score_codex":0.00008453278,"about_ca_system_score_gemma":0.0000075545813,"threshold_uncertainty_score":0.5007866},"labels":[],"label_agreement":null},{"id":"W2757961352","doi":"10.1002/2016wr020288","title":"The Impact of Urbanization on Temporal Changes in Sediment Transport in a Gravel Bed Channel in Southern Ontario, Canada","year":2017,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Sediment Transport Processes","field":"Environmental Science","cited_by":46,"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 British Columbia; University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Magnitude (astronomy); Bed load; Hydrology (agriculture); Sediment; Sediment transport; TRACER; STREAMS; Environmental science; Channel (broadcasting); Geology; Geomorphology; Geotechnical engineering","score_opus":0.03044805690562044,"score_gpt":0.281952368359719,"score_spread":0.2515043114540986,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2757961352","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99719584,0.000019555906,3.9440806e-7,0.00095129147,0.000017762794,0.00033128742,0.000009253124,0.00000285554,0.0014717611],"genre_scores_gemma":[0.99834615,0.0000107182905,0.000001514263,0.00001788656,0.00001284779,0.000046416873,0.00001831571,0.00001026395,0.0015358676],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9982454,0.00011868398,0.00023496493,0.00027427782,0.0005681183,0.0005585149],"domain_scores_gemma":[0.9995252,0.00004180438,0.00004484399,0.00031133273,0.000011308686,0.0000655031],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013646579,0.00011800933,0.00016861434,0.00012447877,0.00026292627,0.00002262108,0.00056369294,0.000084660336,0.000531578],"category_scores_gemma":[0.000016188143,0.000068607136,0.00002471376,0.00014690528,0.0002887496,0.00007117446,0.000066933666,0.00040838393,0.000014160683],"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":[0.0003145945,0.00010545667,0.96391934,0.0000088681645,0.0000064703863,0.00006691537,0.02972571,0.0048880414,0.00074957503,0.000001167074,0.000041943735,0.00017193],"study_design_scores_gemma":[0.0007305588,0.00022253288,0.9922271,0.00004752437,0.0000012978393,6.61746e-7,0.0007014261,0.00045982227,0.004179042,0.0002146743,0.0011114595,0.00010391713],"about_ca_topic_score_codex":0.9904431,"about_ca_topic_score_gemma":0.99919087,"teacher_disagreement_score":0.029024284,"about_ca_system_score_codex":0.00052352186,"about_ca_system_score_gemma":0.000086155145,"threshold_uncertainty_score":0.58204067},"labels":[],"label_agreement":null},{"id":"W2758631235","doi":"10.1002/2017wr020863","title":"Geochemical Evolution of Groundwater Flowing Through Arsenic Source Sediments in an Aquifer System of West Bengal, India","year":2017,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Arsenic contamination and mitigation","field":"Environmental Science","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":"University of British Columbia; Geological Survey of Canada; Natural Resources Canada","funders":"","keywords":"Goethite; Aquifer; Groundwater; Weathering; Geology; Total organic carbon; Dissolution; Groundwater recharge; Arsenic; Geochemistry; Dissolved organic carbon; Environmental chemistry; Chemistry; Adsorption","score_opus":0.035471845896440375,"score_gpt":0.31595660525183983,"score_spread":0.28048475935539946,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2758631235","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99480885,0.000016232352,0.00010849941,0.000118427335,0.000043196313,0.00027849126,0.0000030691115,0.000014542834,0.0046086675],"genre_scores_gemma":[0.9991836,0.00000209347,0.00011749728,0.000007907888,0.000039804792,0.000022489445,0.000015580343,0.000014881103,0.0005961272],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9977244,0.0002953488,0.0003630565,0.00033083258,0.00086641574,0.00041991365],"domain_scores_gemma":[0.99920547,0.00004110633,0.00007030714,0.00056283275,0.00004147545,0.00007879599],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013655024,0.000107817796,0.0001883821,0.00011579578,0.00029910853,0.00006254182,0.00056776876,0.00012082456,0.00037951954],"category_scores_gemma":[0.00005689784,0.00008369187,0.00005104131,0.000103042745,0.0005181384,0.00054708007,0.0005847131,0.00026133857,0.00013012243],"study_design_candidate":"bench_or_experimental","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":[0.000112962676,0.00023562928,0.38179368,0.000095289484,0.000015948393,0.00001066524,0.024542555,0.00014987071,0.5904438,0.00009142753,0.00009611098,0.0024120836],"study_design_scores_gemma":[0.0013709978,0.00027371748,0.56487614,0.00019711322,0.00001261362,0.0000086906575,0.00538054,0.0048737437,0.4172437,0.00019466145,0.0053164135,0.00025168105],"about_ca_topic_score_codex":0.0053389394,"about_ca_topic_score_gemma":0.0005612534,"teacher_disagreement_score":0.18308246,"about_ca_system_score_codex":0.000412209,"about_ca_system_score_gemma":0.000010615571,"threshold_uncertainty_score":0.8070915},"labels":[],"label_agreement":null},{"id":"W2759564565","doi":"10.1002/2017wr021496","title":"Interpreting Repeated Temperature‐Depth Profiles for Groundwater Flow","year":2017,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Groundwater flow and contamination studies","field":"Environmental Science","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":"McMaster University; Dalhousie University","funders":"","keywords":"Borehole; Hydrogeology; Advection; Groundwater flow; Groundwater; Geology; Transient (computer programming); Soil science; Flow (mathematics); Environmental science; Hydrology (agriculture); Mechanics; Geotechnical engineering; Aquifer; Thermodynamics","score_opus":0.046148398032065975,"score_gpt":0.3296399062176173,"score_spread":0.2834915081855513,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2759564565","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9833434,0.000025966225,0.0003158923,0.002144496,0.00014309798,0.00067891326,0.000007683907,0.000064062035,0.013276494],"genre_scores_gemma":[0.9334176,0.000005416227,0.000488865,0.00008231713,0.00015335144,0.00035856653,0.000025852712,0.000032688968,0.06543535],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.9973529,0.00020275296,0.00026433717,0.0006029733,0.0007098116,0.00086723355],"domain_scores_gemma":[0.9988697,0.00008860406,0.000052093954,0.00077660894,0.0000943178,0.00011863025],"candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0018707102,0.00019285837,0.0002118793,0.000095894764,0.002646842,0.0010356365,0.0009758493,0.00010722127,0.0008130123],"category_scores_gemma":[0.0001965635,0.00011905857,0.000098004435,0.00006309931,0.00066129514,0.00042682292,0.0014073121,0.00031455944,0.0008305495],"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":[0.00084291084,0.00038144528,0.20767781,0.00020006389,0.00022072156,0.000101602964,0.05552474,0.00016407353,0.49025595,0.00006607474,0.03971612,0.2048485],"study_design_scores_gemma":[0.0010996072,0.00041799014,0.062070936,0.00009535953,0.000015304435,0.000013540668,0.0013790972,0.0030143475,0.22835036,0.00048897654,0.70256025,0.0004942194],"about_ca_topic_score_codex":0.0007399767,"about_ca_topic_score_gemma":0.00041420548,"teacher_disagreement_score":0.6628441,"about_ca_system_score_codex":0.00014424491,"about_ca_system_score_gemma":0.0000040788145,"threshold_uncertainty_score":0.9999474},"labels":[],"label_agreement":null},{"id":"W2760937797","doi":"10.1002/2016wr020112","title":"Chemical mass transport between fluid fine tailings and the overlying water cover of an oil sands end pit lake","year":2017,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrocarbon exploration and reservoir analysis","field":"Engineering","cited_by":31,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University; Global Institute for Water Security; University of Saskatchewan","funders":"Natural Sciences and Engineering Research Council of Canada; University of Waterloo; Syncrude; University of Saskatchewan","keywords":"Tailings; Oil sands; Geology; Mass transport; Geochemistry; Cover (algebra); Mining engineering; Hydrology (agriculture); Tailings dam; Environmental science; Geotechnical engineering; Petroleum engineering; Archaeology; Asphalt; Geography; Engineering","score_opus":0.03272667803509834,"score_gpt":0.2843053644551821,"score_spread":0.2515786864200838,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2760937797","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9935806,0.0000882055,0.000060792223,0.0006920181,0.000020455322,0.000085198015,0.000017063845,0.000043001255,0.005412697],"genre_scores_gemma":[0.99734277,0.000068218236,0.000036670208,0.000008492912,0.00017655469,0.000023765158,0.00008513588,0.000035039768,0.002223341],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9981259,0.000100896315,0.00031723172,0.0002546888,0.0006949729,0.0005062873],"domain_scores_gemma":[0.99901897,0.000065450506,0.000020465715,0.00065262144,0.00008621577,0.00015629815],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014942049,0.00015685473,0.00034083694,0.00016117837,0.00037491924,0.00020201238,0.00060204807,0.00013106091,0.0003881192],"category_scores_gemma":[0.00003182693,0.00007875732,0.000104563136,0.00006958563,0.0005965069,0.00024263239,0.000102069374,0.0004241379,0.000038380917],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00043609968,0.000045196528,0.011808832,0.0004525204,0.0005020903,0.000053459986,0.026432728,0.005717344,0.94971293,0.000023293242,0.00013510614,0.00468039],"study_design_scores_gemma":[0.0023651256,0.000054248594,0.0009997664,0.00005827591,0.00007251341,0.0000033218168,0.00028985683,0.0424609,0.89060986,0.00019835659,0.06259217,0.00029560004],"about_ca_topic_score_codex":0.0002242459,"about_ca_topic_score_gemma":0.00011685344,"teacher_disagreement_score":0.06245707,"about_ca_system_score_codex":0.000015422615,"about_ca_system_score_gemma":0.0000057157176,"threshold_uncertainty_score":0.4249633},"labels":[],"label_agreement":null},{"id":"W2760947861","doi":"10.1002/2016wr020252","title":"Evaluating the Effects of Tracer Choice and End‐Member Definitions on Hydrograph Separation Results Across Nested, Seasonally Cold Watersheds","year":2017,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":35,"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 Manitoba; Research Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"TRACER; Hydrograph; Environmental science; Snowmelt; Streamflow; Snow; Surface runoff; Hydrology (agriculture); Sampling (signal processing); Meteorology; Computer science; Geology; Drainage basin; Geography; Ecology","score_opus":0.11719446822346508,"score_gpt":0.41411710061088286,"score_spread":0.2969226323874178,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2760947861","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9840124,0.000040432173,0.0000017893044,0.0030421559,0.00005760109,0.00060559926,0.000010285323,0.000019721636,0.012210004],"genre_scores_gemma":[0.99581563,0.00006319025,0.00003686586,0.000118141215,0.00005211879,0.000152895,0.000009738016,0.000013926931,0.003737478],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9973599,0.00054924097,0.0002259377,0.00044044078,0.00079790107,0.00062662485],"domain_scores_gemma":[0.998467,0.000703815,0.00008194463,0.00063713326,0.000031653108,0.00007843054],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.002912483,0.00015375733,0.00016610241,0.000057398975,0.0027702788,0.00021622221,0.0005289944,0.00008825527,0.00007306167],"category_scores_gemma":[0.00042720593,0.00008592891,0.00005643674,0.00009907174,0.0016908265,0.00022322178,0.00094765757,0.00033490916,0.00019027831],"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":[0.0018853615,0.00074326195,0.69175625,0.00047299147,0.0005229203,0.000090686226,0.09385412,0.004727842,0.18804021,0.00037179925,0.006369782,0.011164783],"study_design_scores_gemma":[0.0029786034,0.0019570899,0.8863781,0.00015834943,0.000073300165,0.0000059968484,0.0005357008,0.0022542416,0.0658599,0.0010810615,0.038357705,0.00035993004],"about_ca_topic_score_codex":0.0008092738,"about_ca_topic_score_gemma":0.0006457517,"teacher_disagreement_score":0.19462189,"about_ca_system_score_codex":0.000036579662,"about_ca_system_score_gemma":0.000002528814,"threshold_uncertainty_score":0.998528},"labels":[],"label_agreement":null},{"id":"W2763759457","doi":"10.1002/2017wr020409","title":"Estimating the Spatial Extent of Unsaturated Zones in Heterogeneous River‐Aquifer Systems","year":2017,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Groundwater flow and contamination studies","field":"Environmental Science","cited_by":59,"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":"Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung","keywords":"Aquifer; Clogging; Hydraulic conductivity; Vadose zone; Aquifer properties; Hydrology (agriculture); Geology; Flow (mathematics); Soil science; Monte Carlo method; Geotechnical engineering; Environmental science; Groundwater; Groundwater recharge; Geography; Soil water; Geometry; Mathematics","score_opus":0.04691952348283232,"score_gpt":0.3118601828885833,"score_spread":0.26494065940575096,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2763759457","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99765366,0.00007417972,0.0004852725,0.0003967081,0.000119113785,0.00030959217,0.0000027408805,0.000009951782,0.0009487544],"genre_scores_gemma":[0.99609023,0.0000046197456,0.00006181257,0.000008196825,0.000059365397,0.00005945244,0.0000022424115,0.000010153886,0.003703934],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9979949,0.00031368947,0.00025195704,0.00026409584,0.00074637367,0.00042901287],"domain_scores_gemma":[0.99924475,0.00007023207,0.000064975815,0.00053177617,0.00004329965,0.000044955665],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012431822,0.0001040627,0.00016316512,0.000065282766,0.0007962768,0.000226895,0.0007431191,0.00004593345,0.00012865089],"category_scores_gemma":[0.00006925381,0.00005426586,0.000037428752,0.00006994754,0.0008601125,0.00012836485,0.00097038376,0.00019902646,0.00021170826],"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":[0.00033607258,0.00035516513,0.6937681,0.00019471363,0.00013491293,0.00026588686,0.08751421,0.04279733,0.05437237,0.000054227938,0.00055043335,0.119656615],"study_design_scores_gemma":[0.0012498008,0.00031990782,0.82192105,0.00019435018,0.00001573089,0.00003457313,0.0019409372,0.11334242,0.032161504,0.0003110612,0.028101036,0.00040762217],"about_ca_topic_score_codex":0.021903295,"about_ca_topic_score_gemma":0.0011999336,"teacher_disagreement_score":0.128153,"about_ca_system_score_codex":0.00008482079,"about_ca_system_score_gemma":0.0000030481062,"threshold_uncertainty_score":0.98460996},"labels":[],"label_agreement":null},{"id":"W2764200753","doi":"10.1002/2017wr021585","title":"Nine Hundred Years of Weekly Streamflows: Stochastic Downscaling of Ensemble Tree‐Ring Reconstructions","year":2017,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Tree-ring climate responses","field":"Earth and Planetary Sciences","cited_by":29,"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 Regina","funders":"Alberta Innovates","keywords":"Streamflow; Dendrochronology; Climatology; Proxy (statistics); Downscaling; Range (aeronautics); Historical record; Series (stratigraphy); Environmental science; Data assimilation; Climate change; Geology; Drainage basin; Meteorology; Geography; Statistics; Mathematics; Oceanography; Cartography; History","score_opus":0.06527217510855227,"score_gpt":0.31292094469278775,"score_spread":0.24764876958423548,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2764200753","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9920657,0.00018641888,0.000027695405,0.00016458928,0.00011024871,0.00019000759,0.00009012169,0.000027906079,0.007137288],"genre_scores_gemma":[0.9980277,0.00003369313,0.00062024134,0.0000015821265,0.0000934515,0.0000024254246,0.000021368094,0.000010175861,0.0011893896],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9976482,0.00025825796,0.00039448222,0.0003322823,0.00073168764,0.00063513865],"domain_scores_gemma":[0.998263,0.00053518807,0.00013413995,0.00075697224,0.00015007464,0.000160627],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012987589,0.00011694854,0.00031265002,0.0004684113,0.0005034031,0.00016324235,0.000791339,0.00009510433,0.00084732514],"category_scores_gemma":[0.00048889604,0.000101109414,0.00009770975,0.00015048352,0.000773665,0.00021654535,0.00013930693,0.00031390958,0.00016542831],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011294672,0.00010225709,0.27488944,0.00029409048,0.00018407364,0.00007536434,0.0057520564,0.012556482,0.06473261,0.000033912787,0.00008826509,0.640162],"study_design_scores_gemma":[0.000967355,0.00050989015,0.9489663,0.00038169252,0.00003001922,0.00005426348,0.0016685247,0.0064372136,0.03821279,0.00046367952,0.0020179357,0.00029031033],"about_ca_topic_score_codex":0.009497254,"about_ca_topic_score_gemma":0.0043745833,"teacher_disagreement_score":0.67407686,"about_ca_system_score_codex":0.000009864934,"about_ca_system_score_gemma":0.00004114428,"threshold_uncertainty_score":0.99709857},"labels":[],"label_agreement":null},{"id":"W2765919657","doi":"10.1002/2017wr021094","title":"Probable Maximum Precipitation in the U.S. Pacific Northwest in a Changing Climate","year":2017,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Climate variability and models","field":"Environmental Science","cited_by":48,"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":"Pacific Northwest National Laboratory; Biological and Environmental Research; Office of Science; Battelle; Institute of Social and Economic Research, Memorial University of Newfoundland; U.S. Department of Energy","keywords":"Precipitation; Environmental science; Climatology; Climate change; Representative Concentration Pathways; Current (fluid); Meteorology; Storm; Climate model; Climate change scenario; Geology; Oceanography; Geography","score_opus":0.0610706198907638,"score_gpt":0.3210381816134281,"score_spread":0.25996756172266433,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2765919657","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9673606,0.00000851956,0.0000031420975,0.0019850738,0.000023264976,0.00058487867,0.000004812836,0.000009928885,0.030019738],"genre_scores_gemma":[0.9991202,0.00003741211,0.000070484,0.000023999137,0.000026011763,0.00018453227,0.0000121670855,0.000010196021,0.0005150079],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9975086,0.00037470987,0.00019448371,0.00035306768,0.0005876156,0.0009815226],"domain_scores_gemma":[0.9991344,0.000094561045,0.000029673656,0.00068464165,0.0000102681015,0.000046427784],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0064590927,0.00009052576,0.00010561536,0.00021389611,0.0008077939,0.0003803351,0.00081088825,0.00006460844,0.00030631566],"category_scores_gemma":[0.00009226049,0.000054122247,0.000027581162,0.0002652598,0.00033508314,0.00034905673,0.0008336739,0.00035211397,0.0004928921],"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":[0.00009714185,0.0002242491,0.89846873,0.00006133535,0.0000020778305,0.000045154524,0.09125492,0.0022479766,0.004445285,0.00012428108,0.000048529608,0.0029803056],"study_design_scores_gemma":[0.0014112792,0.00024003179,0.8770107,0.00019143656,0.0000045817465,0.0000133750855,0.011997952,0.01455809,0.0028015827,0.017393963,0.07392623,0.00045074945],"about_ca_topic_score_codex":0.0037309304,"about_ca_topic_score_gemma":0.012259721,"teacher_disagreement_score":0.07925697,"about_ca_system_score_codex":0.00014475228,"about_ca_system_score_gemma":0.000003698537,"threshold_uncertainty_score":0.6841212},"labels":[],"label_agreement":null},{"id":"W2766002201","doi":"10.1002/2017wr020754","title":"Advancing Physically‐Based Flow Simulations of Alluvial Systems Through Atmospheric Noble Gases and the Novel <sup>37</sup>Ar Tracer Method","year":2017,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Groundwater flow and contamination studies","field":"Environmental Science","cited_by":67,"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":"Eidgenössische Anstalt für Wasserversorgung Abwasserreinigung und Gewässerschutz; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; National Science Foundation","keywords":"TRACER; Aquifer; Alluvium; Groundwater; Environmental science; Mixing (physics); Hydrology (agriculture); Residence time (fluid dynamics); Noble gas; Groundwater flow; Geology; Atmospheric sciences; Geomorphology; Chemistry; Physics; Geotechnical engineering","score_opus":0.042423900369795674,"score_gpt":0.33580594837765726,"score_spread":0.2933820480078616,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2766002201","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9601978,0.000112858084,0.03614932,0.0014114148,0.00003447889,0.0005665332,0.000022471377,0.000021101461,0.0014840068],"genre_scores_gemma":[0.9895429,0.00001260411,0.0065340153,0.000043007418,0.00009272685,0.00007937312,0.0000060266725,0.000019887975,0.003669439],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9975603,0.00041661557,0.00027905952,0.00038094856,0.0008584203,0.00050460873],"domain_scores_gemma":[0.9985914,0.0005819505,0.00008081103,0.00059884373,0.000075950156,0.000071032664],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0014434285,0.00015816803,0.00029464517,0.000013149024,0.0015367653,0.00030079973,0.00054380484,0.00005420667,0.00019570309],"category_scores_gemma":[0.00016136585,0.000087198576,0.00007782259,0.000107436776,0.0011674713,0.0003760609,0.0006431789,0.00021932156,0.00005737808],"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":[0.00065829256,0.0006020673,0.022354908,0.00025090712,0.0002527183,0.000016634323,0.065928504,0.80753946,0.07420084,0.00038730292,0.0008829874,0.026925353],"study_design_scores_gemma":[0.0023394977,0.0001076619,0.008067311,0.000054612145,0.00003459083,0.0000033912147,0.0018289351,0.8944412,0.006860333,0.0002246978,0.085838445,0.00019935016],"about_ca_topic_score_codex":0.0042379866,"about_ca_topic_score_gemma":0.00020214138,"teacher_disagreement_score":0.08690169,"about_ca_system_score_codex":0.00006884271,"about_ca_system_score_gemma":0.000007806929,"threshold_uncertainty_score":0.9997631},"labels":[],"label_agreement":null},{"id":"W2770219869","doi":"10.1002/2017wr021701","title":"Optimizing Multireservoir System Operating Policies Using Exogenous Hydrologic Variables","year":2017,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Water resources management and optimization","field":"Engineering","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":"Rio Tinto (Canada); Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada; Rio Tinto","keywords":"Hydropower; State variable; Environmental science; Snow; Precipitation; Distributed lag; Autoregressive model; Hydrological modelling; Hydrology (agriculture); Econometrics; Climatology; Meteorology; Mathematics; Geography; Engineering; Geology","score_opus":0.08235137029432668,"score_gpt":0.3060581708757016,"score_spread":0.2237068005813749,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2770219869","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96911675,0.0002798629,0.0017195181,0.000097831755,0.00016832609,0.0005013841,0.0000055094974,0.0005018817,0.027608939],"genre_scores_gemma":[0.99389243,0.000033902223,0.004229095,0.00001013895,0.0004175018,0.000050902418,0.000017566896,0.00009839712,0.0012500786],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99710673,0.00022242007,0.00037647472,0.00040888257,0.0006636277,0.0012218726],"domain_scores_gemma":[0.9985911,0.00005225016,0.000051130974,0.0010134443,0.00013507529,0.0001569582],"candidate_categories":["sts","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0014698219,0.00028373874,0.0003172288,0.00045896246,0.0026651886,0.002072817,0.0013424378,0.00016425757,0.00005721928],"category_scores_gemma":[0.00006491153,0.00021134793,0.00007926167,0.00014258974,0.00022819391,0.0005059942,0.0010044518,0.00044717835,0.00011773905],"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":[0.00001815399,0.000019160556,0.0019277433,0.0003907639,0.00008485689,0.00007745148,0.009772482,0.9581772,0.0290244,0.000062053245,0.00009358878,0.00035215454],"study_design_scores_gemma":[0.00043929927,0.00004729613,0.00019250064,0.00016400109,0.000017334305,0.000014014204,0.0013022333,0.97001725,0.016885461,0.000025748259,0.010577789,0.000317044],"about_ca_topic_score_codex":0.0014084623,"about_ca_topic_score_gemma":0.00003296303,"teacher_disagreement_score":0.026358861,"about_ca_system_score_codex":0.00023178547,"about_ca_system_score_gemma":0.0000067177366,"threshold_uncertainty_score":0.9989631},"labels":[],"label_agreement":null},{"id":"W2773989976","doi":"10.1002/2017wr020806","title":"A Global Data Analysis for Representing Sediment and Particulate Organic Carbon Yield in Earth System Models","year":2017,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Soil erosion and sediment transport","field":"Agricultural and Biological Sciences","cited_by":31,"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":"Pacific Northwest National Laboratory; Office of Science; Battelle; U.S. Geological Survey; Environment and Climate Change Canada; Deutsche Forschungsgemeinschaft; U.S. Department of Energy","keywords":"Surface runoff; Erosion; Environmental science; Sediment; Rill; Carbon cycle; Earth system science; WEPP; Sediment transport; Hydrology (agriculture); Water cycle; Soil carbon; Storm; Soil science; Soil water; Geology; Agriculture; Ecosystem; Soil conservation; Oceanography; Ecology; Geomorphology","score_opus":0.1923576529751651,"score_gpt":0.3354918363644553,"score_spread":0.14313418338929018,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2773989976","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99741626,0.0000896364,0.0000099794615,0.0010498798,0.000027198983,0.0003561017,0.00004552492,0.000028848433,0.00097655295],"genre_scores_gemma":[0.9994202,0.00001866939,0.000020858111,0.000014100443,0.00008497631,0.000031106163,0.00008106743,0.0000011974363,0.0003277931],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9980206,0.00011368266,0.00023975801,0.0005967062,0.00049298414,0.0005362675],"domain_scores_gemma":[0.9992761,0.00010588807,0.000041009574,0.0003723834,0.0000693301,0.00013527418],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001884804,0.000103812534,0.00022723396,0.000038004928,0.00054710143,0.00036733103,0.0007053638,0.000082876555,0.000035468216],"category_scores_gemma":[0.00005731455,0.000037727546,0.000054582393,0.0002516433,0.0001017259,0.00015514572,0.00059502537,0.000114238224,0.0000033128163],"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":[0.00021433597,0.00010285603,0.9434797,0.00006600896,0.0001693831,0.000045964716,0.0008696008,0.00028120656,0.049890723,0.00006573628,0.00004841535,0.004766026],"study_design_scores_gemma":[0.00069795595,0.00020865252,0.6955582,0.00013759204,0.0001270537,0.0000047484605,0.001959111,0.28888932,0.0083850315,0.00028361,0.003412624,0.00033608536],"about_ca_topic_score_codex":0.007890831,"about_ca_topic_score_gemma":0.009544863,"teacher_disagreement_score":0.2886081,"about_ca_system_score_codex":0.000025153911,"about_ca_system_score_gemma":0.000003930402,"threshold_uncertainty_score":0.9987157},"labels":[],"label_agreement":null},{"id":"W2781521043","doi":"10.1002/2017wr020456","title":"Reply to comment by Fred L. Ogden et al. on “Beyond the SCS‐CN method: A theoretical framework for spatially lumped rainfall‐runoff response”","year":2017,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Global Institute for Water Security; University of Saskatchewan","funders":"U.S. Department of Agriculture; National Science Foundation","keywords":"Ogden; Surface runoff; Infiltration (HVAC); Hydrology (agriculture); Computer science; Environmental science; Econometrics; Mathematics; Geotechnical engineering; Meteorology; Geology; Geography; Physics","score_opus":0.03959154621136303,"score_gpt":0.3828885799904153,"score_spread":0.3432970337790523,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2781521043","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2632123,0.000013964874,0.005504356,0.7167963,0.00012932475,0.0016990397,0.000029902489,0.000044543573,0.012570297],"genre_scores_gemma":[0.8225177,0.000030838833,0.009765148,0.15464827,0.000107691885,0.0010870623,0.000020291847,0.000069546244,0.011753449],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9945532,0.0021490592,0.00030220192,0.00081702735,0.0010649952,0.0011134794],"domain_scores_gemma":[0.995972,0.0021125556,0.000051379255,0.0016185157,0.000034715806,0.00021083215],"candidate_categories":["sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.013293003,0.0002544615,0.00029100466,0.00010763297,0.0027227297,0.0004387977,0.0019798405,0.00012595687,0.001387304],"category_scores_gemma":[0.001898167,0.00014185897,0.00011383315,0.00008799345,0.0017432194,0.000112979025,0.0029072417,0.0007065067,0.00087142765],"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":[0.0073763775,0.00021597643,0.0017046775,0.0000145675585,0.00017157134,0.00003367832,0.024218276,0.0003065595,0.0071268585,0.006840996,0.9482832,0.0037072902],"study_design_scores_gemma":[0.00058221887,0.0008141169,0.0019909479,0.000026620899,0.0000142421895,0.000001192145,0.00029586814,0.00049585593,0.008689709,0.038343433,0.94853485,0.0002109212],"about_ca_topic_score_codex":0.0008258635,"about_ca_topic_score_gemma":0.000060242146,"teacher_disagreement_score":0.56214803,"about_ca_system_score_codex":0.00013040793,"about_ca_system_score_gemma":0.000007765526,"threshold_uncertainty_score":0.9999065},"labels":[],"label_agreement":null},{"id":"W2782757050","doi":"10.1002/2017wr020727","title":"Feedbacks Between Shallow Groundwater Dynamics and Surface Topography on Runoff Generation in Flat Fields","year":2017,"lang":"en","type":"article","venue":"Water Resources Research","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":"Lethbridge College","funders":"Nederlandse Organisatie voor Wetenschappelijk Onderzoek","keywords":"Surface runoff; Groundwater; Hydrology (agriculture); Environmental science; Ponding; Runoff curve number; Surface water; Runoff model; Groundwater model; Groundwater recharge; Soil science; Geology; Drainage; Aquifer; Ecology; Environmental engineering","score_opus":0.04799043567451905,"score_gpt":0.3079374668777799,"score_spread":0.25994703120326085,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2782757050","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97764623,0.000014233667,0.000021527167,0.005365794,0.00004205329,0.00023791862,0.00000191808,0.00001384345,0.016656479],"genre_scores_gemma":[0.99343204,0.000054523032,0.000051935203,0.00008697138,0.00007355298,0.000016254004,0.000018324134,0.000011079083,0.006255321],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9983361,0.00018061955,0.0001486558,0.00041840368,0.00037630298,0.0005399533],"domain_scores_gemma":[0.9994293,0.000042014653,0.000022266728,0.00043006666,0.000007666256,0.00006868333],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011324045,0.00012787325,0.00015117595,0.00010791723,0.0009985915,0.00023333306,0.00042768268,0.00012411064,0.00026891456],"category_scores_gemma":[0.000019116498,0.00008728185,0.000030795527,0.000060235507,0.0006047666,0.00022085839,0.0010031541,0.00035276212,0.00027710112],"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":[0.00004292551,0.000030179724,0.9919609,0.000011813199,0.000023975863,0.000026889862,0.003080532,0.0006700506,0.0007196867,0.00004140713,0.00071572536,0.0026759447],"study_design_scores_gemma":[0.000887498,0.00047228247,0.9578079,0.000024160456,0.000012285964,0.0000013970489,0.0002670378,0.0095424615,0.005707604,0.0023396742,0.022579646,0.0003580618],"about_ca_topic_score_codex":0.0023038115,"about_ca_topic_score_gemma":0.004252773,"teacher_disagreement_score":0.034152977,"about_ca_system_score_codex":0.00007268862,"about_ca_system_score_gemma":7.729122e-7,"threshold_uncertainty_score":0.768046},"labels":[],"label_agreement":null},{"id":"W2782861887","doi":"10.1002/2017wr020707","title":"The T‐TEL Method for Assessing Water, Sediment, and Chemical Connectivity","year":2018,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Sediment Transport Processes","field":"Environmental Science","cited_by":41,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Environment and Climate Change Canada; Toronto Metropolitan University; University of Manitoba","funders":"","keywords":"Environmental science; Watershed; Surface runoff; Water resources; Process (computing); Sediment; Resource (disambiguation); Computer science; Hydrology (agriculture); Environmental resource management; Geology; Ecology; Machine learning; Geomorphology","score_opus":0.04723592341463842,"score_gpt":0.36547751236375087,"score_spread":0.3182415889491125,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2782861887","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99074537,0.00005201247,0.0020265516,0.002569089,0.000045960263,0.00030479152,0.0000020294808,0.00002937811,0.004224815],"genre_scores_gemma":[0.997179,0.000012145601,0.0011065867,0.0001285605,0.00014262447,0.00008191179,0.000006634855,0.000014631188,0.001327912],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9980229,0.0002523372,0.0001520246,0.00041197822,0.0003968066,0.00076391146],"domain_scores_gemma":[0.999168,0.00045047374,0.000012985005,0.00021972472,0.00003336811,0.00011545682],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.00376153,0.00011033297,0.000121917816,0.000033485005,0.001303024,0.0001599182,0.00033659927,0.00010364755,0.0005769658],"category_scores_gemma":[0.000061911,0.000052042637,0.000032464395,0.000084467865,0.0013455411,0.0001802762,0.0003088008,0.0002544797,0.00016746772],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00044250253,0.00012823923,0.020351676,0.00005247938,0.000054720604,0.0000089743135,0.012297167,0.000024245739,0.93200034,0.00007042035,0.0015862166,0.03298299],"study_design_scores_gemma":[0.00033193905,0.00012471301,0.00088160153,0.0000054693323,0.000007760616,0.000007291886,0.00016179627,0.001957834,0.6668525,0.0029652116,0.32660443,0.00009945893],"about_ca_topic_score_codex":0.00018936236,"about_ca_topic_score_gemma":0.00006452945,"teacher_disagreement_score":0.32501823,"about_ca_system_score_codex":0.000039577168,"about_ca_system_score_gemma":0.000004457605,"threshold_uncertainty_score":0.99999714},"labels":[],"label_agreement":null},{"id":"W2783403668","doi":"10.1002/2017wr021645","title":"Accounting for the Decreasing Reaction Potential of Heterogeneous Aquifers in a Stochastic Framework of Aquifer‐Scale Reactive Transport","year":2018,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Groundwater flow and contamination studies","field":"Environmental Science","cited_by":18,"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":"Deutsche Forschungsgemeinschaft","keywords":"Aquifer; Groundwater; Denitrification; Nitrate; Chemistry; Reactivity (psychology); Matrix (chemical analysis); Environmental science; Soil science; Nitrogen; Geology; Geotechnical engineering","score_opus":0.026718011500841566,"score_gpt":0.3024524373069667,"score_spread":0.2757344258061251,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2783403668","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9812062,0.000030329029,0.01787296,0.00017176385,0.00005740344,0.00044692872,0.0000055064875,0.000008094027,0.00020084802],"genre_scores_gemma":[0.99927646,0.0000041963685,0.00025777082,0.000013275827,0.000083358915,0.00007364354,0.0000036909364,0.000014799098,0.00027280618],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9982609,0.000119610166,0.00029958095,0.00026975296,0.0006368114,0.0004133385],"domain_scores_gemma":[0.9992529,0.00032365025,0.000062528154,0.00023064647,0.00009244229,0.00003781283],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012948571,0.00009995017,0.0001772137,0.00012565136,0.0002792367,0.000020759448,0.00028988667,0.00007519297,0.000091637165],"category_scores_gemma":[0.0000948837,0.00006264522,0.00007309848,0.00025796102,0.0007445113,0.00012456869,0.00015338798,0.00019274782,0.000018078053],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0024914707,0.00038282367,0.064042695,0.00008413571,0.00015300156,0.00000969047,0.09805543,0.0030768106,0.7845162,0.000026128604,0.00003924818,0.047122322],"study_design_scores_gemma":[0.0020891356,0.0014317749,0.42236844,0.00049118197,0.00012279842,0.0000373188,0.021881962,0.016261654,0.5241144,0.0027138856,0.007920149,0.0005673037],"about_ca_topic_score_codex":0.002403223,"about_ca_topic_score_gemma":0.0007094763,"teacher_disagreement_score":0.35832575,"about_ca_system_score_codex":0.00009880315,"about_ca_system_score_gemma":0.0000064853416,"threshold_uncertainty_score":0.36329702},"labels":[],"label_agreement":null},{"id":"W2790463476","doi":"10.1002/2017wr021884","title":"A Reduced‐Order Successive Linear Estimator for Geostatistical Inversion and its Application in Hydraulic Tomography","year":2018,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Groundwater flow and contamination studies","field":"Environmental Science","cited_by":61,"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":"Recruitment Program of Global Experts; Ministry of Land and Resources of the People's Republic of China; National Natural Science Foundation of China; Citrus Research and Development Foundation","keywords":"Covariance; Estimator; Mathematics; Algorithm; Inverse problem; Eigenvalues and eigenvectors; Applied mathematics; Covariance function; Mathematical optimization; Discretization; Covariance matrix; Eigenfunction; Inverse; Statistics; Mathematical analysis; Geometry","score_opus":0.028592158997481045,"score_gpt":0.32390639056192055,"score_spread":0.29531423156443953,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2790463476","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9921152,0.00004418517,0.0052546845,0.0012229066,0.000019703066,0.0005825723,0.0000075707994,0.00001783418,0.0007353404],"genre_scores_gemma":[0.997293,0.000007138268,0.0006584631,0.000075017284,0.0000640908,0.00026180004,0.000016259246,0.000011759295,0.0016124493],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99853003,0.00010690893,0.00016133038,0.00038621557,0.00039304298,0.00042246727],"domain_scores_gemma":[0.9995323,0.00013416482,0.000017884517,0.0001378211,0.000083097235,0.0000947777],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006075069,0.00009601794,0.00011391058,0.00016105651,0.00038316924,0.00005214844,0.00018296357,0.00005998829,0.000118033226],"category_scores_gemma":[0.00009933079,0.00006870835,0.00001842013,0.0003388773,0.000441393,0.00014187102,0.00036098732,0.0001280484,0.00032037738],"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":[0.001686744,0.00082370464,0.3208293,0.00042887998,0.00011340709,0.000050573217,0.0782555,0.00018201735,0.30304277,0.0014509311,0.010263179,0.28287297],"study_design_scores_gemma":[0.0024671017,0.001069634,0.14102532,0.00007443056,0.000020767475,0.000008678049,0.0019546808,0.1700788,0.10036359,0.002406447,0.5799199,0.00061065576],"about_ca_topic_score_codex":0.0005896307,"about_ca_topic_score_gemma":0.00030265626,"teacher_disagreement_score":0.5696567,"about_ca_system_score_codex":0.00005953175,"about_ca_system_score_gemma":0.0000036344009,"threshold_uncertainty_score":0.411791},"labels":[],"label_agreement":null},{"id":"W2790635631","doi":"10.1002/2017wr022438","title":"Expanding the “Active Layer”: Discussion of Church and Haschenburger (2017) What is the “Active Layer”? <i>Water Resources Research</i> 53, 5–10, Doi:10.1002/2016WR019675","year":2018,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Sediment Transport Processes","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Bed load; Active layer; Fluvial; Geology; Layer (electronics); Hyperconcentrated flow; Range (aeronautics); Hydrology (agriculture); Sediment transport; Geomorphology; Geotechnical engineering; Sediment; Engineering; Materials science","score_opus":0.05323411584737179,"score_gpt":0.3297229488186989,"score_spread":0.2764888329713271,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2790635631","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9624075,0.00047561157,0.0000073640804,0.015137501,0.00009683184,0.0008601593,0.000021181315,0.000039672013,0.020954156],"genre_scores_gemma":[0.9551236,0.0004556978,0.000016652304,0.00026951343,0.00035015531,0.00017628791,0.000020870679,0.000053151078,0.04353404],"study_design_codex":"qualitative","study_design_gemma":"not_applicable","domain_scores_codex":[0.9923574,0.0014400708,0.0005382094,0.0011356508,0.002633821,0.0018948716],"domain_scores_gemma":[0.9974668,0.0007818738,0.00009374789,0.0011088407,0.00024839814,0.0003003127],"candidate_categories":["sts","insufficient_payload"],"consensus_categories":["sts","insufficient_payload"],"category_scores_codex":[0.0074522994,0.00039243788,0.00042805023,0.0003023974,0.0033047125,0.00045774248,0.0017006476,0.00034574358,0.02424968],"category_scores_gemma":[0.00011094306,0.00014793017,0.00013216701,0.0007259877,0.0073774694,0.001091667,0.0016803114,0.0015680009,0.0023711964],"study_design_candidate":"bench_or_experimental","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":[0.005269221,0.0005878116,0.013606398,0.00016396849,0.0003867866,0.00008589464,0.48916796,0.000087689514,0.42507046,0.000021198604,0.045330234,0.020222377],"study_design_scores_gemma":[0.00049836945,0.000511096,0.0042544147,0.00011712586,0.000025491221,0.000011228652,0.010233191,0.00010202429,0.46248016,0.0010661638,0.52045316,0.00024756623],"about_ca_topic_score_codex":0.0010950427,"about_ca_topic_score_gemma":0.00019826253,"teacher_disagreement_score":0.47893476,"about_ca_system_score_codex":0.00014392899,"about_ca_system_score_gemma":0.000026255844,"threshold_uncertainty_score":0.9984056},"labels":[],"label_agreement":null},{"id":"W2790736420","doi":"10.1002/2017wr021956","title":"A Functional Approach to Zooplankton Communities in Mountain Lakes Stocked With Non‐Native Sportfish Under a Changing Climate","year":2018,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":12,"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","keywords":"Ecology; Biodiversity; Zooplankton; Ecosystem; Biological dispersal; Climate change; Functional diversity; Environmental science; Geography; Biology","score_opus":0.045463380690850166,"score_gpt":0.2811354868239229,"score_spread":0.23567210613307277,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2790736420","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9019612,0.000003134107,0.00027953257,0.000876055,0.000018841423,0.00050538813,0.000004301942,0.000026818896,0.0963247],"genre_scores_gemma":[0.9925575,0.00000692408,0.00023229893,0.0005712792,0.000052116742,0.00031134166,0.000029452813,0.000016250957,0.006222795],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9978247,0.00022463081,0.00014620057,0.00030576732,0.0005208278,0.0009778676],"domain_scores_gemma":[0.99956435,0.000063243955,0.000020391837,0.00024975583,0.00003257636,0.00006968252],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001885434,0.00013564948,0.00016403332,0.00038947395,0.0009260126,0.000062625935,0.00029593665,0.00005402379,0.0011170394],"category_scores_gemma":[0.000010419905,0.00009123225,0.000017520608,0.00053622475,0.0009496166,0.00015500528,0.0013401855,0.0003068733,0.000560514],"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":[0.0012002586,0.00046091885,0.81522113,0.000073730924,0.000083830746,0.000032975488,0.1595229,0.0040477607,0.00029770916,0.0004556669,0.018248446,0.00035466006],"study_design_scores_gemma":[0.0010454452,0.00074362446,0.861841,0.000062937026,0.0000100091365,0.0000067775295,0.08975573,0.002195274,0.00048402607,0.0004880467,0.04302002,0.00034709994],"about_ca_topic_score_codex":0.0011382172,"about_ca_topic_score_gemma":0.019723449,"teacher_disagreement_score":0.09059631,"about_ca_system_score_codex":0.00019043322,"about_ca_system_score_gemma":0.0000037981795,"threshold_uncertainty_score":0.9997961},"labels":[],"label_agreement":null},{"id":"W2790792561","doi":"10.1002/2017wr021346","title":"Conditioning a Hydrologic Model Using Patterns of Remotely Sensed Land Surface Temperature","year":2018,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":102,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Streamflow; Evapotranspiration; Environmental science; Surface runoff; Calibration; Drainage basin; Hydrology (agriculture); Parametric statistics; Statistics; Geology; Mathematics; Geography; Cartography","score_opus":0.05308391655613314,"score_gpt":0.3109133515475924,"score_spread":0.25782943499145927,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2790792561","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9946587,0.000013032927,0.00009826468,0.0004818822,0.000025172783,0.00019882813,0.000008580461,0.000028620174,0.0044869394],"genre_scores_gemma":[0.9967297,0.00000967137,0.00039137076,0.00012682917,0.000048828573,0.0000030469153,0.00000852135,0.000013686565,0.0026683668],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99812293,0.00028128887,0.00018268211,0.0003606615,0.0004688534,0.00058360497],"domain_scores_gemma":[0.99954844,0.00004565105,0.000031958825,0.00027663086,0.000033823257,0.00006352356],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008926294,0.0001230237,0.00017388721,0.000082368555,0.0005764704,0.000036445035,0.00028243457,0.000110174755,0.0007177511],"category_scores_gemma":[0.000024738556,0.00008117711,0.000039117607,0.00015743116,0.0007982609,0.00011145447,0.0007318167,0.0002752811,0.00026344365],"study_design_candidate":"bench_or_experimental","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":[0.00022471535,0.00008744569,0.41920236,0.000052994197,0.000071651644,0.00005731586,0.014259591,0.13698058,0.4279657,0.000009332544,0.0010274868,0.000060841056],"study_design_scores_gemma":[0.0021419409,0.0011315867,0.040897917,0.00014827226,0.00006618065,0.00004077017,0.0012619061,0.53069264,0.40491357,0.0061078533,0.011765142,0.0008322243],"about_ca_topic_score_codex":0.00086616504,"about_ca_topic_score_gemma":0.00011592806,"teacher_disagreement_score":0.39371207,"about_ca_system_score_codex":0.000052661893,"about_ca_system_score_gemma":0.0000028078618,"threshold_uncertainty_score":0.7858871},"labels":[],"label_agreement":null},{"id":"W2791251711","doi":"10.1002/2017wr021155","title":"Sociohydrological Impacts of Water Conservation Under Anthropogenic Drought in Austin, TX (USA)","year":2018,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Water resources management and optimization","field":"Engineering","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":"McGill University; University of Victoria","funders":"National Evolutionary Synthesis Center","keywords":"Environmental science; Water conservation; Water cycle; Streamflow; Water resource management; Ecosystem services; Watershed; Water use; Water resources; Hydrology (agriculture); Geography; Environmental resource management; Ecosystem; Ecology; Drainage basin","score_opus":0.054111790552695924,"score_gpt":0.3129954297146161,"score_spread":0.25888363916192014,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2791251711","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9947745,0.0000700399,0.0004020612,0.00072845106,0.00007759724,0.0003370216,0.0000027659366,0.00009532847,0.00351222],"genre_scores_gemma":[0.9982934,0.00004922707,0.00015905044,0.00005278235,0.00018904725,0.000024426481,0.000054493696,0.000042883457,0.0011347122],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99760187,0.00022847742,0.00040234588,0.00029627635,0.00058224285,0.0008888035],"domain_scores_gemma":[0.99936175,0.00005123581,0.000019535235,0.00032240181,0.00015096382,0.00009411433],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0011593144,0.0001835058,0.00024390832,0.00057038065,0.00015575376,0.00009971928,0.0003621876,0.0001828602,0.001224908],"category_scores_gemma":[0.000022622347,0.000116453084,0.000059555412,0.00038295594,0.000536287,0.0002007528,0.0002733655,0.00033486105,0.00052266166],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00090381864,0.0004736124,0.15117477,0.0010743332,0.0003863934,0.00011474401,0.05788419,0.119001016,0.6590273,0.00035333823,0.007863757,0.0017427707],"study_design_scores_gemma":[0.0024098752,0.00079700095,0.036920022,0.00015280733,0.00003114606,0.000009464584,0.000973207,0.15748654,0.7341862,0.002569824,0.0637338,0.0007301415],"about_ca_topic_score_codex":0.0004698444,"about_ca_topic_score_gemma":0.00034689292,"teacher_disagreement_score":0.11425474,"about_ca_system_score_codex":0.000112432834,"about_ca_system_score_gemma":0.0000047423036,"threshold_uncertainty_score":0.9996881},"labels":[],"label_agreement":null},{"id":"W2791961784","doi":"10.1002/2017wr022034","title":"On Permeability Prediction From Complex Conductivity Measurements Using Polarization Magnitude and Relaxation Time","year":2018,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Geophysical and Geoelectrical Methods","field":"Earth and Planetary Sciences","cited_by":43,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"U.S. Army Corps of Engineers; University of Guelph","keywords":"Permeability (electromagnetism); Exponent; Induced polarization; Conductivity; Electrical resistivity and conductivity; Soil science; Polarizability; Statistical physics; Mineralogy; Geology; Materials science; Mathematics; Physics; Chemistry","score_opus":0.16529502927774228,"score_gpt":0.3404068317355106,"score_spread":0.17511180245776833,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2791961784","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99781615,0.000017604114,0.00019107033,0.00016936201,0.000049857998,0.00022030807,0.000051715488,0.000030844374,0.0014530706],"genre_scores_gemma":[0.99844474,9.616174e-7,0.00087788206,0.000040706975,0.00025308144,0.000001057779,0.00013437713,0.0000036098666,0.00024357418],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9972529,0.0011120551,0.00015084507,0.00038525168,0.00073135074,0.00036760533],"domain_scores_gemma":[0.9992039,0.0002562558,0.000026603448,0.00017535244,0.00020373214,0.00013411292],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0014305997,0.000097345386,0.00012830374,0.000115790084,0.0005324548,0.00012198949,0.00012334804,0.00008051605,0.0020402314],"category_scores_gemma":[0.0002759832,0.00006399072,0.00002308359,0.0002617211,0.00031252208,0.00017665002,0.000034745866,0.00025209607,0.00048662905],"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":[0.0007819925,0.0001768988,0.47924143,0.000030040661,0.00004946649,0.0000025405577,0.0022218246,0.00037641436,0.39062944,0.000010080787,0.00014291912,0.12633695],"study_design_scores_gemma":[0.00021821968,0.0005582498,0.91469014,0.000011192891,0.000006578983,9.72671e-7,0.000024319559,0.065515734,0.011396761,0.0066830106,0.0008092462,0.000085552136],"about_ca_topic_score_codex":0.0063867485,"about_ca_topic_score_gemma":0.00016596011,"teacher_disagreement_score":0.43544874,"about_ca_system_score_codex":0.000016715207,"about_ca_system_score_gemma":0.000009939413,"threshold_uncertainty_score":0.99887204},"labels":[],"label_agreement":null},{"id":"W2792289423","doi":"10.1002/2017wr021735","title":"Discharge Estimation in Ungauged Basins Through Variational Data Assimilation: The Potential of the SWOT Mission","year":2018,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Flood Risk Assessment and Management","field":"Environmental Science","cited_by":99,"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":"Institut National de Recherche en Sciences et Technologies pour l'Environnement et l'Agriculture; Institut national de recherche en informatique et en automatique (INRIA); Calgary Laboratory Services","keywords":"Bathymetry; Discharge; Data assimilation; Elevation (ballistics); Streamflow; Radar; Environmental science; Ocean surface topography; Geology; Remote sensing; Hydrology (agriculture); SWOT analysis; Meteorology; Drainage basin; Geography; Computer science; Geodesy; Mathematics; Geometry; Cartography","score_opus":0.06931946541181593,"score_gpt":0.3593520055331101,"score_spread":0.29003254012129415,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2792289423","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9665807,0.000015862985,0.003734639,0.014140105,0.00016104899,0.0007120969,0.00002669747,0.000013197079,0.014615675],"genre_scores_gemma":[0.9967634,0.000007384037,0.001113985,0.00006108473,0.000091545386,0.000010041135,0.000054340973,0.000007853847,0.0018903584],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99766076,0.00045020282,0.00020645185,0.00027999093,0.001119795,0.00028280087],"domain_scores_gemma":[0.9991353,0.000059391867,0.000044219792,0.0007138595,0.000021291973,0.000025904706],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0019032101,0.00007399466,0.000068922185,0.00004062238,0.00048343267,0.00007631437,0.0010631038,0.000039436763,0.0018920333],"category_scores_gemma":[0.00006149841,0.000033295346,0.00002325617,0.00034561296,0.00042823993,0.00033215567,0.001954735,0.00020207364,0.0001692664],"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":[0.0009784508,0.0022913332,0.40184772,0.00018586697,0.00023176012,0.000018639494,0.07440233,0.11745213,0.17098175,0.0064770277,0.18902715,0.036105845],"study_design_scores_gemma":[0.000493166,0.00007963964,0.51472557,0.000035133962,0.00001322355,0.0000011557951,0.0004228545,0.33398,0.007035143,0.0051057874,0.13799757,0.00011077604],"about_ca_topic_score_codex":0.0010119199,"about_ca_topic_score_gemma":0.0004904251,"teacher_disagreement_score":0.21652786,"about_ca_system_score_codex":0.000073545074,"about_ca_system_score_gemma":0.00001041758,"threshold_uncertainty_score":0.9990204},"labels":[],"label_agreement":null},{"id":"W2792632961","doi":"10.1002/2017wr022042","title":"Geomorphic Controls on Floodplain Soil Organic Carbon in the Yukon Flats, Interior Alaska, From Reach to River Basin Scales","year":2018,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":58,"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 Resources Conservation Service; Geological Society of America; Universiteit Stellenbosch; National Science Foundation","keywords":"Floodplain; Hydrology (agriculture); Drainage basin; Tributary; Wetland; Temperate climate; Geology; Environmental science; Sediment; Geomorphology; Ecology; Geography","score_opus":0.057167848008006825,"score_gpt":0.2869968234232809,"score_spread":0.22982897541527408,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2792632961","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9895293,0.00018049324,5.539512e-7,0.003825877,0.00015346122,0.0004919235,0.00068848004,0.000022814487,0.005107071],"genre_scores_gemma":[0.9964752,0.00004200428,0.000007994208,0.0010851789,0.00090004917,0.00001290567,0.0007468577,0.000013984997,0.000715782],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99629736,0.00097537774,0.00028900488,0.0005455308,0.00093098346,0.0009617392],"domain_scores_gemma":[0.99851394,0.00059749605,0.00002606069,0.00056644256,0.00009680256,0.00019925945],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0021668167,0.0002124576,0.00027548344,0.00035773646,0.00034891776,0.00031245084,0.0008843261,0.00013996531,0.0078045707],"category_scores_gemma":[0.00010832902,0.000118208016,0.00005593723,0.0004433005,0.0004314894,0.00008730714,0.00011549627,0.000572854,0.0037917085],"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":[0.0021975308,0.00011265532,0.82047987,0.00004405298,0.000055826524,0.00036777323,0.10597864,0.00006057542,0.05311911,0.0000030762433,0.006584732,0.010996178],"study_design_scores_gemma":[0.0014219345,0.0018851069,0.863176,0.00026440763,0.000013793309,0.000023197248,0.0046175355,0.0042967577,0.02141216,0.00048836647,0.10188681,0.0005139262],"about_ca_topic_score_codex":0.07632056,"about_ca_topic_score_gemma":0.31830043,"teacher_disagreement_score":0.24197985,"about_ca_system_score_codex":0.000024619576,"about_ca_system_score_gemma":0.000017069575,"threshold_uncertainty_score":0.99698395},"labels":[],"label_agreement":null},{"id":"W2792826343","doi":"10.1002/2018wr022546","title":"Improving Robustness of Hydrologic Ensemble Predictions Through Probabilistic Pre‐ and Post‐Processing in Sequential Data Assimilation","year":2018,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":60,"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; University of Regina","funders":"Hong Kong Polytechnic University","keywords":"Data assimilation; Ensemble Kalman filter; Robustness (evolution); Hydrological modelling; Probabilistic logic; Computer science; Data processing; Statistical model; Kalman filter; Data mining; Machine learning; Meteorology; Artificial intelligence; Climatology; Extended Kalman filter; Database","score_opus":0.07139549449267973,"score_gpt":0.32910218680780695,"score_spread":0.2577066923151272,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2792826343","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9935983,0.00003439056,0.0015786098,0.0007285676,0.000037490245,0.00035699803,0.0000071466934,0.000025777364,0.0036327522],"genre_scores_gemma":[0.9988363,0.000013690262,0.00054539304,0.00002887999,0.0000692675,0.000027992379,0.00002707069,0.000009447057,0.00044198136],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99815845,0.00025528963,0.00023191435,0.0004951443,0.0003633516,0.000495853],"domain_scores_gemma":[0.99946284,0.0000453944,0.000041333384,0.00037970254,0.00003209874,0.000038653277],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016092027,0.00010019989,0.00013863733,0.00010454384,0.00044044814,0.000045768385,0.00041211484,0.000083860155,0.00014868668],"category_scores_gemma":[0.00012439207,0.000070029,0.0000114664645,0.00023352208,0.0013405062,0.00047250118,0.002028246,0.00021614424,0.000024007233],"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":[0.0018730056,0.0010642525,0.46358773,0.0012024344,0.0001378811,0.00006736949,0.1005053,0.13425286,0.25443125,0.00009457143,0.0022534763,0.040529877],"study_design_scores_gemma":[0.0010639221,0.00092127436,0.15139142,0.000093305796,0.000054053635,0.00001468022,0.0010300706,0.8291008,0.007855096,0.0024396598,0.005690106,0.00034563374],"about_ca_topic_score_codex":0.0012850158,"about_ca_topic_score_gemma":0.00090379396,"teacher_disagreement_score":0.69484794,"about_ca_system_score_codex":0.000059495233,"about_ca_system_score_gemma":0.0000054447232,"threshold_uncertainty_score":0.4939151},"labels":[],"label_agreement":null},{"id":"W2793456952","doi":"10.1002/2017wr020975","title":"Analysis of Tide and Offshore Storm‐Induced Water Table Fluctuations for Structural Characterization of a Coastal Island Aquifer","year":2018,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Groundwater and Isotope Geochemistry","field":"Earth and Planetary Sciences","cited_by":47,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Royal Military College of Canada; Western University","funders":"Parks Canada","keywords":"Aquifer; Geology; Submarine pipeline; Water table; Groundwater; Submarine groundwater discharge; Storm; Storm surge; Hydrology (agriculture); Environmental science; Oceanography; Geotechnical engineering","score_opus":0.030883848739091606,"score_gpt":0.281870715520617,"score_spread":0.2509868667815254,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2793456952","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9987176,0.000014549489,0.000053210348,0.000069856775,0.00003190867,0.00021732308,0.00052311854,0.000006520997,0.0003658822],"genre_scores_gemma":[0.99675685,0.0000043431774,0.000043106604,0.000008229945,0.0001005384,0.0000042475044,0.0020848815,0.0000042896586,0.0009934829],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.998654,0.00008286267,0.0002546066,0.00024210596,0.00037289335,0.00039350602],"domain_scores_gemma":[0.99930084,0.00004956864,0.000034600183,0.00019947196,0.00033502848,0.00008046836],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00055624667,0.000096952026,0.00023656557,0.00031264932,0.00022598129,0.00007381231,0.00018459272,0.0000687391,0.0016196824],"category_scores_gemma":[0.000022349504,0.000055502493,0.0000536655,0.00029868472,0.00027062645,0.00015813761,0.000052908737,0.00009133563,0.000010965617],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021291118,0.000009631015,0.30509987,0.00007132665,0.00019189906,6.840452e-7,0.00865134,0.000030937837,0.68379813,0.0000013494711,0.000027886626,0.0019040571],"study_design_scores_gemma":[0.00031869742,0.0002961006,0.42914486,0.000011850861,0.000086515094,0.0000023320154,0.000441952,0.012454211,0.5540431,0.000086336906,0.0030003572,0.000113655224],"about_ca_topic_score_codex":0.0027265872,"about_ca_topic_score_gemma":0.005436293,"teacher_disagreement_score":0.12975499,"about_ca_system_score_codex":0.0000032540684,"about_ca_system_score_gemma":0.000014442362,"threshold_uncertainty_score":0.99929297},"labels":[],"label_agreement":null},{"id":"W2794664527","doi":"10.1002/2017wr021753","title":"Theoretical Insight Into the Empirical Tortuosity‐Connectivity Factor in the <i>Burdine‐Brooks‐Corey</i> Water Relative Permeability Model","year":2017,"lang":"en","type":"article","venue":"Water Resources Research","topic":"NMR spectroscopy and applications","field":"Physics and Astronomy","cited_by":29,"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":"Kansas State University","keywords":"Tortuosity; Exponent; Scaling; Statistical physics; Porous medium; Relative permeability; Power law; Percolation (cognitive psychology); Permeability (electromagnetism); Percolation theory; Saturation (graph theory); Bundle; Critical exponent; Conductivity; Physics; Mathematics; Materials science; Porosity; Geotechnical engineering; Geology; Geometry; Statistics; Chemistry; Combinatorics","score_opus":0.09651792387824736,"score_gpt":0.42482516872054654,"score_spread":0.3283072448422992,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2794664527","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92680585,0.000013650365,0.00067830255,0.01670483,0.000022484155,0.00067838625,0.00001770149,0.00001714716,0.05506162],"genre_scores_gemma":[0.9983822,0.0000021704657,0.00005271522,0.00010661496,0.00031199117,0.00034680616,0.000015763178,0.00002153521,0.0007601716],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9968134,0.00085939985,0.00027652422,0.00056178187,0.0006883369,0.0008005128],"domain_scores_gemma":[0.99771124,0.00046263827,0.000038480506,0.0015426114,0.00012851076,0.00011651269],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0020272967,0.00021766902,0.00023896122,0.00007093264,0.00253574,0.0006274919,0.0016466853,0.00009517462,0.0006662866],"category_scores_gemma":[0.00006180053,0.00008673473,0.00015725262,0.00009192033,0.0018095016,0.00028733767,0.0008485788,0.0014161555,0.0002486652],"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":[0.00029771437,0.0009537508,0.20212716,0.000027288954,0.000112659196,0.000009591578,0.3161305,0.00018146889,0.027540028,0.44920555,0.00067271,0.0027416043],"study_design_scores_gemma":[0.00084337615,0.00018303341,0.04121138,0.00003012369,0.000027613098,0.000002046007,0.002744475,0.014633123,0.1314002,0.76399595,0.04445615,0.0004725175],"about_ca_topic_score_codex":0.0009970405,"about_ca_topic_score_gemma":0.00014017356,"teacher_disagreement_score":0.31479043,"about_ca_system_score_codex":0.00007670292,"about_ca_system_score_gemma":0.000036027024,"threshold_uncertainty_score":0.99876285},"labels":[],"label_agreement":null},{"id":"W2795522069","doi":"10.1002/2015wr018448","title":"A multiscale approach to determine hydraulic conductivity in thick claystone aquitards using field, laboratory, and numerical modeling methods","year":2016,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Groundwater flow and contamination studies","field":"Environmental Science","cited_by":23,"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; Queen's University; University of Saskatchewan","funders":"Natural Sciences and Engineering Research Council of Canada; University of Saskatchewan","keywords":"Hydraulic conductivity; Aquifer; Geology; Hydraulic head; Geotechnical engineering; Transducer; Head (geology); Pressure head; Pore water pressure; Finite element method; Soil science; Groundwater; Geomorphology; Engineering","score_opus":0.10622167649953995,"score_gpt":0.3768090813679044,"score_spread":0.27058740486836447,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2795522069","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8405938,0.000043772303,0.15774965,0.0007485553,0.000019746172,0.00024412441,0.000002423052,0.000016850374,0.0005810438],"genre_scores_gemma":[0.9873584,0.0000047234507,0.011423376,0.00011080939,0.000037542057,0.000071520175,5.958767e-7,0.000016069747,0.0009769562],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9974513,0.00073694147,0.00022020297,0.0005230927,0.00047717692,0.00059130276],"domain_scores_gemma":[0.9993507,0.00018568484,0.0000147307,0.0002570713,0.00003523964,0.00015654447],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021854567,0.00013991802,0.00022681305,0.00015638334,0.00024407743,0.00006954988,0.0002411466,0.000088085166,0.00008844854],"category_scores_gemma":[0.00013886689,0.00008114268,0.000026413885,0.00031361874,0.00020841848,0.00023975964,0.0009310432,0.0002325662,0.000067329005],"study_design_candidate":"bench_or_experimental","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":[0.00014261222,0.00018636859,0.04167901,0.000032705633,0.000020459554,0.000021023348,0.019931337,0.0020757285,0.78870624,0.000007075031,0.00009401658,0.1471034],"study_design_scores_gemma":[0.0029219002,0.00064031495,0.020997955,0.00015347158,0.000024006065,0.000052394225,0.00386802,0.59522545,0.3176329,0.0005507268,0.056759764,0.0011730922],"about_ca_topic_score_codex":0.0022505138,"about_ca_topic_score_gemma":0.000101684964,"teacher_disagreement_score":0.5931497,"about_ca_system_score_codex":0.00017765838,"about_ca_system_score_gemma":0.0000053414105,"threshold_uncertainty_score":0.34021187},"labels":[],"label_agreement":null},{"id":"W2799529394","doi":"10.1029/2017wr022353","title":"Rethinking the Use of Seabed Sediment Temperature Profiles to Trace Submarine Groundwater Flow","year":2018,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Groundwater and Isotope Geochemistry","field":"Earth and Planetary Sciences","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Bedford Institute of Oceanography; Fisheries and Oceans Canada; University of Calgary; Dalhousie University","funders":"Fisheries and Oceans Canada","keywords":"Submarine groundwater discharge; Groundwater flow; Seabed; Geology; Groundwater; Hydrogeology; Groundwater discharge; Groundwater recharge; Hydrology (agriculture); Sediment; Environmental science; Geomorphology; Oceanography; Aquifer; Geotechnical engineering","score_opus":0.07029737102998614,"score_gpt":0.27681617800722114,"score_spread":0.20651880697723501,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2799529394","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99512476,0.00007768129,0.000011167658,0.0024928402,0.00013047509,0.00049840927,0.000032547967,0.000034149783,0.0015979516],"genre_scores_gemma":[0.9865509,0.0000070906394,0.0010964175,0.0002404585,0.0004438538,0.000011422309,0.000102177495,0.000010741289,0.011536929],"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9969,0.000408742,0.0002956311,0.00044751703,0.0010818774,0.00086620665],"domain_scores_gemma":[0.99866813,0.00017036474,0.000026701118,0.0006030282,0.00033228972,0.00019946643],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0017074519,0.00018753269,0.00020593742,0.00014889262,0.0006112402,0.00049818965,0.000730723,0.00012835945,0.0032412237],"category_scores_gemma":[0.00007145748,0.000090421636,0.00006991453,0.00037860466,0.0004860293,0.00023665106,0.00019919417,0.0005351112,0.0005651365],"study_design_candidate":"bench_or_experimental","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":[0.0024035396,0.00027433882,0.3818075,0.0005289184,0.00030622596,0.00013731557,0.18102701,0.0021044894,0.34779596,0.000022715263,0.04288285,0.040709116],"study_design_scores_gemma":[0.00035601304,0.0007675394,0.06697367,0.00009493369,0.000012508261,0.000032336648,0.0006986895,0.0023644671,0.5023229,0.0005902134,0.42547724,0.00030949776],"about_ca_topic_score_codex":0.004767376,"about_ca_topic_score_gemma":0.0012713392,"teacher_disagreement_score":0.38259438,"about_ca_system_score_codex":0.000012883182,"about_ca_system_score_gemma":0.000024372854,"threshold_uncertainty_score":0.99766994},"labels":[],"label_agreement":null},{"id":"W2800013887","doi":"10.1029/2017wr021876","title":"Nutrient Loss Rates in Relation to Transport Time Scales in a Large Shallow Lake (Lake St. Clair, USA—Canada): Insights From a Three‐Dimensional Model","year":2018,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Aquatic Ecosystems and Phytoplankton Dynamics","field":"Environmental Science","cited_by":26,"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":"National Oceanic and Atmospheric Administration; Fred A. And Barbara M. Erb Family Foundation; Environment and Climate Change Canada; University of Michigan","keywords":"Tributary; Nutrient; Environmental science; Hydrology (agriculture); Water balance; Residence time (fluid dynamics); Discharge; Spring (device); Productivity; Ecology; Geography; Geology; Drainage basin","score_opus":0.018134641669234598,"score_gpt":0.2559690036569139,"score_spread":0.2378343619876793,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2800013887","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.996885,0.000020584097,0.00024889724,0.00039192758,0.000033893695,0.00055469986,0.00023560075,0.000011436486,0.0016179531],"genre_scores_gemma":[0.99817914,0.000002212675,0.00026662683,0.0000935714,0.000059676473,0.000060691895,0.00029079634,0.000023432525,0.0010238446],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99674296,0.00020134677,0.00044432795,0.00058268366,0.0012625802,0.0007661038],"domain_scores_gemma":[0.9992424,0.00010194707,0.000034654717,0.00034845204,0.000035762936,0.00023676177],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0009632819,0.00018425162,0.0002598612,0.00018069884,0.000215088,0.000041389576,0.00040281872,0.00013734726,0.0032975764],"category_scores_gemma":[0.000022354505,0.00013660797,0.00003639779,0.00044025044,0.00017660992,0.00016707626,0.00026248174,0.00037824988,0.00080901635],"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":[0.00029168982,0.00017946813,0.96748096,0.000015241405,0.000010043702,0.000113979295,0.0045621903,0.025092613,0.0013443873,0.000097912925,0.00072706275,0.00008446963],"study_design_scores_gemma":[0.00065850076,0.00009954411,0.5394103,0.000115252114,0.0000020493937,0.0000019486276,0.000059720158,0.43508387,0.00028858264,0.002490823,0.021564633,0.00022480762],"about_ca_topic_score_codex":0.08588647,"about_ca_topic_score_gemma":0.99726135,"teacher_disagreement_score":0.91137487,"about_ca_system_score_codex":0.00034352994,"about_ca_system_score_gemma":0.000057892667,"threshold_uncertainty_score":0.99996895},"labels":[],"label_agreement":null},{"id":"W2800135759","doi":"10.1029/2017wr021825","title":"Contrasting Groundwater and Streamflow Ages at the Maimai Watershed","year":2018,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":56,"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 Sciences and Engineering Research Council of Canada","keywords":"Groundwater recharge; Groundwater; Bedrock; Hydrology (agriculture); Aquifer; Groundwater discharge; Streamflow; Surface runoff; Surface water; Geology; Hydrogeology; Groundwater flow; Environmental science; Drainage basin; Geomorphology; Geography; Ecology","score_opus":0.03178666492457821,"score_gpt":0.28786885812871044,"score_spread":0.2560821932041322,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2800135759","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9677708,0.00004724026,0.000012055755,0.0064166295,0.000049011807,0.00029448819,0.0000015219035,0.000039788152,0.025368458],"genre_scores_gemma":[0.9668665,0.000031270214,0.000038181508,0.00035747717,0.00014311081,0.00004697454,0.0000072902963,0.00001686432,0.03249236],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9975569,0.000382087,0.00016704708,0.00046798258,0.0004977654,0.0009281851],"domain_scores_gemma":[0.99941283,0.00012148674,0.000017813178,0.00033610573,0.000018737454,0.00009301359],"candidate_categories":["sts","insufficient_payload"],"consensus_categories":["sts","insufficient_payload"],"category_scores_codex":[0.0017993193,0.0001565157,0.00014208905,0.00006602428,0.0018761384,0.00013853451,0.00038803325,0.00006681889,0.0039229826],"category_scores_gemma":[0.000032369007,0.00007357548,0.000032184584,0.00011872786,0.0030531336,0.0001440608,0.0024446351,0.00024550955,0.0033226672],"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":[0.00084213406,0.00020908965,0.7206006,0.000080639664,0.00034512905,0.00019678034,0.10732018,0.00010796928,0.078493394,0.00006948924,0.07258188,0.01915269],"study_design_scores_gemma":[0.0008207215,0.00054295646,0.07737937,0.00001809656,0.000028655153,0.000026933949,0.0015048059,0.000575517,0.050806373,0.0014544575,0.86650985,0.00033223254],"about_ca_topic_score_codex":0.0010729817,"about_ca_topic_score_gemma":0.0008105544,"teacher_disagreement_score":0.793928,"about_ca_system_score_codex":0.00008218384,"about_ca_system_score_gemma":7.3395495e-7,"threshold_uncertainty_score":0.99966},"labels":[],"label_agreement":null},{"id":"W2801061054","doi":"10.1029/2017wr022286","title":"An Analytical Stochastic Approach for Evaluating the Performance of Combined Sewer Overflow Tanks","year":2018,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Urban Stormwater Management Solutions","field":"Environmental Science","cited_by":33,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada; China Scholarship Council","keywords":"Combined sewer; Probabilistic logic; Computer science; Surface runoff; Storm Water Management Model; Stormwater; Storage tank; Mathematical optimization; Engineering; Mathematics","score_opus":0.10744668088461093,"score_gpt":0.3723147682918474,"score_spread":0.26486808740723644,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2801061054","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98947126,0.0000049139467,0.00456399,0.00017348149,0.000040679177,0.0008335092,0.000005818279,0.000025402263,0.0048809326],"genre_scores_gemma":[0.99284524,4.2690232e-7,0.0014942376,0.00003592195,0.00012419582,0.00014488079,0.0000143399175,0.000021678137,0.005319071],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9972431,0.00029213616,0.00024687027,0.00040253875,0.0011193306,0.0006960252],"domain_scores_gemma":[0.99897575,0.000117004725,0.000035208333,0.00068576157,0.00008249281,0.000103795326],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0033491552,0.00012008428,0.00014048986,0.00010144019,0.00071117474,0.00008288079,0.00084548694,0.000055187178,0.0008553228],"category_scores_gemma":[0.00007786152,0.00006821803,0.000053644555,0.00033798616,0.0013928142,0.0001995658,0.0005832078,0.00022667077,0.00022388122],"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":[0.006197215,0.003797718,0.19954792,0.000611818,0.00061673264,0.0000050739463,0.12796716,0.24593969,0.35979334,0.0010559416,0.040311065,0.014156332],"study_design_scores_gemma":[0.00047196253,0.002170914,0.01936424,0.000009185226,0.000024271303,0.0000010937176,0.00029386056,0.9724082,0.0023753932,0.0001468516,0.0026047062,0.00012931784],"about_ca_topic_score_codex":0.00020271403,"about_ca_topic_score_gemma":0.000014221955,"teacher_disagreement_score":0.7264685,"about_ca_system_score_codex":0.00012932207,"about_ca_system_score_gemma":0.0000066540742,"threshold_uncertainty_score":0.9365185},"labels":[],"label_agreement":null},{"id":"W2803495721","doi":"10.1029/2018wr022707","title":"Groundwater Pumping Impacts on Real Stream Networks: Testing the Performance of Simple Management Tools","year":2018,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":42,"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; University of Victoria","funders":"Natural Sciences and Engineering Research Council of Canada; Deutsche Forschungsgemeinschaft; University of Victoria; California Department of Fish and Game","keywords":"Apportionment; Groundwater recharge; Streamflow; Groundwater; Environmental science; Aquifer; Hydrology (agriculture); Range (aeronautics); Soil science; Drainage basin; Geology; Geography; Geotechnical engineering; Engineering","score_opus":0.06434090440270233,"score_gpt":0.30669327118614476,"score_spread":0.2423523667834424,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2803495721","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9256766,0.000006042789,0.000013078469,0.00046909341,0.0000423593,0.0003850069,8.017846e-7,0.00003234555,0.07337471],"genre_scores_gemma":[0.9973144,0.00007016659,0.000055381282,0.00015931412,0.0001537841,0.000049624057,0.000005184931,0.000016997643,0.0021751614],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99755675,0.00025927942,0.00024403508,0.00037625435,0.0006435114,0.000920198],"domain_scores_gemma":[0.99919057,0.00018285733,0.000041602783,0.00049031386,0.000027852631,0.00006680488],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020970057,0.00015425816,0.00015049304,0.00010018438,0.0010064471,0.00009457248,0.0006373186,0.000053505843,0.0004929249],"category_scores_gemma":[0.000029929482,0.00007969151,0.000037759197,0.00033478602,0.0011219674,0.00019290051,0.0015306472,0.00027079135,0.00069850317],"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":[0.0010523822,0.0004957213,0.85437036,0.0002576893,0.00042810707,0.00008925824,0.02205809,0.03876286,0.0088883005,0.00017209651,0.01133352,0.06209163],"study_design_scores_gemma":[0.0012288949,0.0044699316,0.7752457,0.00023405424,0.00006324084,0.000008972572,0.0020967321,0.034314465,0.04712503,0.0008992295,0.1336585,0.00065523316],"about_ca_topic_score_codex":0.00078578375,"about_ca_topic_score_gemma":0.000090622976,"teacher_disagreement_score":0.12232498,"about_ca_system_score_codex":0.00009137055,"about_ca_system_score_gemma":0.0000012323064,"threshold_uncertainty_score":0.8978078},"labels":[],"label_agreement":null},{"id":"W2804906241","doi":"10.1029/2017wr022318","title":"DEM Resolution Effects on Coastal Flood Vulnerability Assessment: Deterministic and Probabilistic Approach","year":2018,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Flood Risk Assessment and Management","field":"Environmental Science","cited_by":71,"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":"U.S. Geological Survey; McMaster University","keywords":"Digital elevation model; Flood myth; Lidar; Probabilistic logic; Elevation (ballistics); Remote sensing; Computer science; Resampling; Environmental science; Geology; Geography; Algorithm; Mathematics; Artificial intelligence","score_opus":0.03206974845137924,"score_gpt":0.32941312274727086,"score_spread":0.29734337429589164,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2804906241","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94385046,0.000009899448,0.00043502872,0.0003125286,0.000073507115,0.0010731338,0.000004329505,0.000066315784,0.05417479],"genre_scores_gemma":[0.996271,0.0000074265095,0.0012485004,0.00006983549,0.00019280764,0.00021716276,0.000019869838,0.000026311567,0.001947088],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99603754,0.00086888333,0.0002446226,0.00082612183,0.0011659825,0.0008568267],"domain_scores_gemma":[0.9989275,0.00022317441,0.000032870936,0.00056691637,0.00003394369,0.00021561114],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026004028,0.00021630316,0.00020449053,0.00013137082,0.00083181716,0.00022731637,0.00040230673,0.00009550609,0.00028825155],"category_scores_gemma":[0.00011520133,0.0001453679,0.00004290015,0.00026446665,0.0011121931,0.00015809578,0.0011769211,0.00044842577,0.00046023293],"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":[0.0038428465,0.009944306,0.3840452,0.004511881,0.0006096263,0.00050233153,0.05070681,0.009033908,0.119157195,0.00847259,0.03958052,0.3695928],"study_design_scores_gemma":[0.004139742,0.009342294,0.5656959,0.00019837463,0.00012734272,0.000033934008,0.0010969018,0.23807196,0.013088226,0.012665252,0.1540934,0.0014466648],"about_ca_topic_score_codex":0.0004485382,"about_ca_topic_score_gemma":0.00025955617,"teacher_disagreement_score":0.36814612,"about_ca_system_score_codex":0.00021552459,"about_ca_system_score_gemma":0.000009385312,"threshold_uncertainty_score":0.6397749},"labels":[],"label_agreement":null},{"id":"W2804907487","doi":"10.1029/2017wr022105","title":"Copula‐Based Chance‐Constrained Hydro‐Economic Optimization Model for Optimal Design of Reservoir‐Irrigation District Systems under Multiple Interdependent Sources of Uncertainty","year":2018,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Water resources management and optimization","field":"Engineering","cited_by":35,"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":"Natural Sciences and Engineering Research Council of Canada","keywords":"Irrigation; Copula (linguistics); Interdependence; Inflow; Environmental science; Optimal design; Water resource management; Agricultural engineering; Econometrics; Economics; Mathematics; Statistics; Engineering","score_opus":0.06624994031761383,"score_gpt":0.28616951358377596,"score_spread":0.21991957326616213,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2804907487","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3487667,0.000060026512,0.6493698,0.000039290142,0.00008577596,0.0010872012,0.00006788274,0.000092458744,0.0004309129],"genre_scores_gemma":[0.9908143,0.000011144249,0.008063068,0.0000039768015,0.00015790858,0.00017979636,0.00030761448,0.000077455006,0.00038470153],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99748904,0.0002882913,0.00071876333,0.00038606356,0.00051686564,0.00060099125],"domain_scores_gemma":[0.99881166,0.00018037736,0.00013573104,0.00043398075,0.00033422952,0.00010402031],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016691624,0.0002486423,0.00036992013,0.0006309462,0.00020175488,0.00014311653,0.00054202735,0.00014309997,0.000049215898],"category_scores_gemma":[0.000047403933,0.00020702167,0.00010781091,0.0002290611,0.0003499338,0.00021122105,0.00014838408,0.00016434892,0.0000118260095],"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":[0.0003375468,0.000043957218,0.00013980073,0.00039455364,0.000092925045,7.3497955e-7,0.0026280861,0.993529,0.0025074857,0.000046302775,0.00015584748,0.00012375525],"study_design_scores_gemma":[0.0012271235,0.00028169743,0.00002100426,0.00013670432,0.000026738113,6.3125697e-7,0.0005224457,0.97936404,0.017863084,0.00008002524,0.0002595202,0.0002169767],"about_ca_topic_score_codex":0.00021690402,"about_ca_topic_score_gemma":0.000032931435,"teacher_disagreement_score":0.64204764,"about_ca_system_score_codex":0.00021961924,"about_ca_system_score_gemma":0.000023483786,"threshold_uncertainty_score":0.8442099},"labels":[],"label_agreement":null},{"id":"W2806492187","doi":"10.1029/2017wr021147","title":"Rationale and Efficacy of Assimilating Remotely Sensed Potential Evapotranspiration for Reduced Uncertainty of Hydrologic Models","year":2018,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":92,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto and Region Conservation Authority","funders":"National Science Foundation","keywords":"Evapotranspiration; Environmental science; Soil and Water Assessment Tool; SWAT model; Streamflow; Hydrological modelling; Moderate-resolution imaging spectroradiometer; Equifinality; Remote sensing; Hydrology (agriculture); Computer science; Satellite; Climatology; Watershed; Drainage basin; Machine learning; Geography","score_opus":0.073414423806424,"score_gpt":0.31903514460329857,"score_spread":0.24562072079687458,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2806492187","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9947552,0.000013196415,0.0011248026,0.0008598012,0.000020089807,0.0005899901,0.0000064738606,0.000011279134,0.0026191468],"genre_scores_gemma":[0.9986561,0.000008765057,0.00076617865,0.000035200563,0.000047773407,0.00002038467,0.0000141578,0.000007363386,0.00044410667],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99861,0.00019988572,0.0002442325,0.00028001476,0.00035795767,0.00030789545],"domain_scores_gemma":[0.99957293,0.00012758051,0.00004942146,0.00015640103,0.00005759572,0.00003604943],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011551655,0.00008268094,0.00015194797,0.000088694054,0.0003360909,0.000012327753,0.00014772726,0.00007069594,0.00012384528],"category_scores_gemma":[0.00006882122,0.00005725838,0.00003895057,0.000110816145,0.00097491156,0.000104485895,0.00020612038,0.00009154079,0.000010309647],"study_design_candidate":"bench_or_experimental","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":[0.0015726514,0.00014811942,0.0025442834,0.000112454974,0.00008791845,0.0000030372814,0.017838068,0.17290357,0.8011037,0.0001155922,0.00045783736,0.003112762],"study_design_scores_gemma":[0.0028987557,0.0019420527,0.010139422,0.000044744316,0.000056358724,0.0000033736653,0.0003848057,0.6980343,0.26320118,0.01900327,0.0040263035,0.00026542976],"about_ca_topic_score_codex":0.00018550162,"about_ca_topic_score_gemma":0.00003401458,"teacher_disagreement_score":0.53790253,"about_ca_system_score_codex":0.000022624172,"about_ca_system_score_gemma":0.0000030731178,"threshold_uncertainty_score":0.35921022},"labels":[],"label_agreement":null},{"id":"W2806982581","doi":"10.1029/2017wr021489","title":"Identifying Key Water Resource Vulnerabilities in Data‐Scarce Transboundary River Basins","year":2018,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Water resources management and optimization","field":"Engineering","cited_by":25,"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":"Grains Research and Development Corporation","keywords":"Water resource management; Hydropower; Streamflow; Structural basin; Drainage basin; Resource (disambiguation); Environmental science; Hydrology (agriculture); Key (lock); Water resources; Irrigation; Water scarcity; Environmental resource management; Agriculture; Computer science; Geography; Geology; Cartography","score_opus":0.0781992497400673,"score_gpt":0.3108275992541236,"score_spread":0.2326283495140563,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2806982581","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9719335,0.00023825456,0.0011357539,0.00055694906,0.0001821173,0.00058107864,0.00003583464,0.00039803205,0.02493847],"genre_scores_gemma":[0.98993284,0.00005501444,0.0006103238,0.000055298904,0.00064608565,0.000056274734,0.00041890852,0.00013676324,0.008088504],"study_design_codex":"qualitative","study_design_gemma":"not_applicable","domain_scores_codex":[0.99541485,0.00052309484,0.0005583489,0.0007968442,0.0011056719,0.0016011656],"domain_scores_gemma":[0.99821824,0.00008598023,0.0000150869555,0.0013779963,0.0001271419,0.0001755355],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0028119886,0.00034181445,0.00033419413,0.0011222609,0.0005545229,0.0007215283,0.001663333,0.00018228649,0.00089430076],"category_scores_gemma":[0.00003110765,0.00024117265,0.0000708594,0.00051788386,0.00086561317,0.0008270698,0.0010585919,0.00079133594,0.0010336845],"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":[0.0010703098,0.00047438362,0.020901607,0.002773014,0.00057158415,0.0005029553,0.7959394,0.057342738,0.06316272,0.00017389518,0.037201226,0.0198862],"study_design_scores_gemma":[0.0008423098,0.000090043264,0.0014082175,0.0001300544,0.000016669142,0.000006845394,0.0020565896,0.043541025,0.04620941,0.0006828589,0.90451884,0.00049714197],"about_ca_topic_score_codex":0.00034771804,"about_ca_topic_score_gemma":0.0007572493,"teacher_disagreement_score":0.8673176,"about_ca_system_score_codex":0.00018020092,"about_ca_system_score_gemma":0.000007657459,"threshold_uncertainty_score":0.9997441},"labels":[],"label_agreement":null},{"id":"W2808022989","doi":"10.1029/2017wr022334","title":"A Small Temperate Lake in the 21st Century: Dynamics of Water Temperature, Ice Phenology, Dissolved Oxygen, and Chlorophyll <i>a</i>","year":2018,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":55,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Ministry of Environment; Ministry of the Environment, Conservation and Parks","funders":"Lawrence Livermore National Laboratory; U.S. Geological Survey","keywords":"Temperate climate; Environmental science; Water column; Climate change; Global warming; Hydrology (agriculture); Phenology; Chlorophyll a; Atmospheric sciences; Ecology; Oceanography; Geology; Chemistry","score_opus":0.02506451578597379,"score_gpt":0.23958652520331966,"score_spread":0.21452200941734587,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2808022989","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9743605,0.00025515648,3.105056e-7,0.0011453343,0.00009199775,0.00037575807,0.00009853606,0.000015083179,0.0236573],"genre_scores_gemma":[0.9979638,0.00018342078,0.00001573719,0.00014104563,0.00021936759,0.000008125322,0.00025986598,0.00000846736,0.0012001939],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99737525,0.00059961755,0.00032270787,0.00040166822,0.0004741585,0.0008266093],"domain_scores_gemma":[0.99919224,0.0001127322,0.00002792633,0.00040381722,0.00015287852,0.00011038857],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018739647,0.00017581524,0.00025181458,0.00022503236,0.0003356105,0.00023344466,0.00065167155,0.00013537395,0.00074350677],"category_scores_gemma":[0.000027952581,0.000080290345,0.000042819935,0.00031241478,0.0005577546,0.00011010736,0.00018810948,0.00049494003,0.00018611335],"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":[0.0024782238,0.0003983987,0.8254412,0.0009957732,0.00020804655,0.00026879934,0.08159855,0.00010261162,0.032030787,0.0006549355,0.0009368809,0.05488584],"study_design_scores_gemma":[0.00260549,0.0031527577,0.19412445,0.00020254623,0.000032030726,0.00018094004,0.03192067,0.008430151,0.02140268,0.0018311169,0.73511636,0.0010007794],"about_ca_topic_score_codex":0.010833526,"about_ca_topic_score_gemma":0.1909914,"teacher_disagreement_score":0.7341795,"about_ca_system_score_codex":0.0000056158883,"about_ca_system_score_gemma":0.000015473086,"threshold_uncertainty_score":0.9957534},"labels":[],"label_agreement":null},{"id":"W2808751996","doi":"10.1029/2017wr022132","title":"Simulation and Assimilation of Passive Microwave Data Using a Snowpack Model Coupled to a Calibrated Radiative Transfer Model Over Northeastern Canada","year":2018,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":49,"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; Hydro-Québec; Université de Sherbrooke; Center for Northern Studies; University of Saskatchewan; Université de Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs","keywords":"Snowpack; Snow; Environmental science; Mean squared error; Atmospheric radiative transfer codes; Snowmelt; Data assimilation; Meteorology; Atmospheric sciences; Radiative transfer; Climatology; Remote sensing; Mathematics; Physics; Geology; Statistics","score_opus":0.15304492444308632,"score_gpt":0.33218188605740334,"score_spread":0.17913696161431703,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2808751996","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9732021,0.00004872526,0.025481297,0.00031983352,0.00002215564,0.00033342585,0.00047084354,0.0000069043167,0.000114715076],"genre_scores_gemma":[0.998444,0.0000060577227,0.0010132269,0.00011279045,0.00006301237,0.0000014825017,0.00018081698,0.000006953608,0.00017164722],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99843353,0.00009707024,0.00023257923,0.00034038982,0.0005269098,0.00036952898],"domain_scores_gemma":[0.99905705,0.00018187157,0.000023472048,0.00028840374,0.00031042667,0.0001387798],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003189776,0.0001112445,0.00016969442,0.00006874788,0.00036645163,0.00006849242,0.00023351573,0.00004864424,0.00014534411],"category_scores_gemma":[0.00006194383,0.00007938169,0.0000146420325,0.00030522997,0.00016544451,0.00022747123,0.00009079641,0.00011596111,0.0000035490382],"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":[0.00013810788,0.0000075679413,0.042496834,0.000014863518,0.000029102246,0.0000012824613,0.005779287,0.94951683,0.0010291139,0.0000015018845,0.00012258167,0.00086292345],"study_design_scores_gemma":[0.00024556252,0.000062821884,0.04347555,0.000017855416,0.000010829272,3.0969377e-7,0.00040310613,0.95477366,0.00024602973,0.0000609675,0.00060077844,0.00010249461],"about_ca_topic_score_codex":0.4459459,"about_ca_topic_score_gemma":0.7921609,"teacher_disagreement_score":0.34621504,"about_ca_system_score_codex":0.000022190034,"about_ca_system_score_gemma":0.00015270493,"threshold_uncertainty_score":0.5577436},"labels":[],"label_agreement":null},{"id":"W2808937137","doi":"10.1002/2017wr020362","title":"Lagrangian simulation of mixing and reactions in complex geochemical systems","year":2017,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Groundwater flow and contamination studies","field":"Environmental Science","cited_by":63,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Nortel (Canada)","funders":"National Science Foundation","keywords":"Eulerian path; Particle (ecology); Lagrangian; Mixing (physics); Statistical physics; Particle system; Computer science; Code (set theory); Disequilibrium; Mass transfer; Algorithm; Mechanics; Physics; Applied mathematics; Mathematics; Geology; Set (abstract data type); Computer graphics (images); Programming language","score_opus":0.08476708628727332,"score_gpt":0.34733012195581525,"score_spread":0.26256303566854194,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2808937137","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99487466,0.000022975846,0.00010672713,0.00029215674,0.000013459215,0.00013374315,0.0000018644292,0.0000058561272,0.004548533],"genre_scores_gemma":[0.99716514,0.0000050952985,0.000020917438,0.0000029768116,0.000019016821,0.000013799252,0.0000037614261,0.0000044497997,0.0027648234],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990285,0.0000988291,0.00014996117,0.0001663056,0.0003373545,0.00021907475],"domain_scores_gemma":[0.9996209,0.00007047492,0.000029105002,0.00021901913,0.000021704023,0.00003878421],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00069828745,0.00005047346,0.00009917471,0.000071876406,0.00038509668,0.0001084714,0.00018076735,0.000035699064,0.000090332316],"category_scores_gemma":[0.000053212243,0.00003605843,0.000014244465,0.00004512729,0.0003700039,0.00014471977,0.00037532835,0.000110452485,0.0000480116],"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":[0.000062475796,0.00009061725,0.64349866,0.000098091914,0.000017971197,0.000013122698,0.013555963,0.0056780935,0.32477728,0.000046544897,0.00020320146,0.011958018],"study_design_scores_gemma":[0.0005003778,0.000046801975,0.796871,0.00004739848,0.000003478364,0.0000031720374,0.0013818301,0.043785777,0.00790975,0.00012267352,0.14920823,0.00011950271],"about_ca_topic_score_codex":0.005152337,"about_ca_topic_score_gemma":0.0003491803,"teacher_disagreement_score":0.3168675,"about_ca_system_score_codex":0.00004879035,"about_ca_system_score_gemma":8.5029933e-7,"threshold_uncertainty_score":0.7788826},"labels":[],"label_agreement":null},{"id":"W2809115655","doi":"10.1029/2018wr022908","title":"Hydroclimatological Drivers of Extreme Floods on Lake Ontario","year":2018,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Flood Risk Assessment and Management","field":"Environmental Science","cited_by":31,"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":"Centrum fÖr Personcentrerad Vård; U.S. Geological Survey","keywords":"Flood myth; Spring (device); Environmental science; Precipitation; Climatology; North Atlantic oscillation; Hydrometeorology; Hydrology (agriculture); Drawdown (hydrology); Drainage basin; Structural basin; Period (music); Subtropics; Atlantic multidecadal oscillation; Water level; Subtropical ridge; Geology; Geography; Meteorology; Ecology","score_opus":0.07318600993046853,"score_gpt":0.31546915989383223,"score_spread":0.2422831499633637,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2809115655","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.80859995,0.0000020692496,0.000013655872,0.0003123791,0.00004462037,0.0001973961,0.0000011974989,0.000021743803,0.19080701],"genre_scores_gemma":[0.9776968,0.0000072222997,0.00039372122,0.000058704136,0.00004989737,0.000017237277,0.0000063973835,0.0000105082545,0.021759514],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9976368,0.00017147549,0.00018449525,0.00037688154,0.0010361653,0.0005942069],"domain_scores_gemma":[0.9994269,0.00004024113,0.000024084668,0.00037867343,0.000018415269,0.000111687594],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00086047064,0.00011446509,0.00014786939,0.00011542798,0.00024407785,0.000042984593,0.00052892993,0.00006794588,0.018680314],"category_scores_gemma":[0.000013601458,0.00007066043,0.000055741293,0.00018419985,0.0008142494,0.000085111686,0.0008774484,0.0002666876,0.0035288138],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00052635325,0.0009543016,0.890224,0.000040334122,0.00009317633,0.0001281932,0.026923439,0.00038936536,0.028389575,0.00050157396,0.04376849,0.008061211],"study_design_scores_gemma":[0.00048072462,0.0010393669,0.07961707,0.000019845094,0.0000076316555,0.0000017972559,0.00029030003,0.00032772505,0.026978964,0.0006775292,0.89039797,0.00016105192],"about_ca_topic_score_codex":0.0063670836,"about_ca_topic_score_gemma":0.089442335,"teacher_disagreement_score":0.8466295,"about_ca_system_score_codex":0.00014046567,"about_ca_system_score_gemma":0.000005343937,"threshold_uncertainty_score":0.99724704},"labels":[],"label_agreement":null},{"id":"W2809885288","doi":"10.1029/2018wr023123","title":"New Observed Data Sets for the Validation of Hydrology and Land Surface Models in Cold Climates","year":2018,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":15,"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":"Snowmelt; Environmental science; Snow; Elevation (ballistics); Meteorology; Climatology; Climate model; Precipitation; Continuous simulation; Hydrology (agriculture); Climate change; Computer science; Geology; Geography; Simulation; Mathematics","score_opus":0.17478841774714862,"score_gpt":0.35291439208701947,"score_spread":0.17812597433987085,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2809885288","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9951666,0.00008893016,0.00017745889,0.0032179207,0.000019605119,0.00041526466,0.000010914775,0.000007198207,0.00089611835],"genre_scores_gemma":[0.9985629,0.000091119204,0.00033335402,0.000050429688,0.00002215481,0.000013376919,0.00001741775,0.0000067002334,0.0009025647],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988499,0.00017036637,0.00014095179,0.00028707445,0.00019888421,0.00035280618],"domain_scores_gemma":[0.9993122,0.0002518822,0.00001988295,0.00037213383,0.000011562771,0.000032334425],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019921043,0.00006591401,0.000111524016,0.000038272414,0.00023236957,0.000024128138,0.00049491046,0.00005020014,0.00012984633],"category_scores_gemma":[0.000035282243,0.00003699317,0.000009780392,0.00010233544,0.00055995194,0.00016226052,0.0015036806,0.00009436196,0.000040251605],"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":[0.0007724031,0.00009491621,0.9170609,0.00008986107,0.000109616805,0.0000051948264,0.019523237,0.023647787,0.023083711,0.00013268949,0.013923504,0.0015561724],"study_design_scores_gemma":[0.004308189,0.0014835547,0.103323,0.000056536843,0.000082434766,0.000004598027,0.0011523727,0.5035362,0.14237538,0.033128075,0.21002653,0.00052309455],"about_ca_topic_score_codex":0.0025464846,"about_ca_topic_score_gemma":0.0011907772,"teacher_disagreement_score":0.8137379,"about_ca_system_score_codex":0.000014436667,"about_ca_system_score_gemma":0.0000020452553,"threshold_uncertainty_score":0.38495398},"labels":[],"label_agreement":null},{"id":"W2810003371","doi":"10.1029/2018wr022801","title":"Distributed Plant Hydraulic and Hydrological Modeling to Understand the Susceptibility of Riparian Woodland Trees to Drought‐Induced Mortality","year":2018,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":59,"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 Lethbridge","funders":"National Science Foundation of Sri Lanka; National Science Foundation","keywords":"Environmental science; Evapotranspiration; Riparian zone; Streamflow; Hydrology (agriculture); Groundwater recharge; Groundwater; Ecosystem; Ecology; Geography; Aquifer; Geology; Habitat; Biology","score_opus":0.0784595530423522,"score_gpt":0.31154700300224475,"score_spread":0.23308744995989256,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2810003371","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9959857,0.000004397139,0.00077650184,0.0012888033,0.000021017706,0.00044292962,0.00010221,0.000018328223,0.001360127],"genre_scores_gemma":[0.99963844,0.0000035794585,0.00005728057,0.000067157365,0.000039736176,0.000013380926,0.000034250268,0.000008554998,0.00013761234],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9977725,0.00030939962,0.00026388172,0.00045246238,0.0006554723,0.00054624566],"domain_scores_gemma":[0.99918437,0.00007885752,0.000020093612,0.0004549158,0.000026627302,0.00023510598],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016654162,0.0001295523,0.0001791259,0.00006887361,0.00033940084,0.0000957504,0.00041631827,0.000093194474,0.00015248776],"category_scores_gemma":[0.000059152433,0.000069132475,0.00003478884,0.0003204481,0.0004229154,0.00006962374,0.00075052097,0.00024634012,0.000089849964],"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":[0.0012754608,0.00046827018,0.6679283,0.00004319571,0.00015084178,0.000050674837,0.067127384,0.115516976,0.14457054,0.00023063342,0.0009772021,0.0016605682],"study_design_scores_gemma":[0.0008158607,0.0013899638,0.2459307,0.000046846417,0.000035465513,0.000026556798,0.001828851,0.72542554,0.008183924,0.0060348064,0.009761113,0.0005203483],"about_ca_topic_score_codex":0.00355132,"about_ca_topic_score_gemma":0.010492117,"teacher_disagreement_score":0.6099086,"about_ca_system_score_codex":0.00011009412,"about_ca_system_score_gemma":0.000005398567,"threshold_uncertainty_score":0.58548474},"labels":[],"label_agreement":null},{"id":"W2810417508","doi":"10.1002/2017wr020731","title":"Modeling blowing snow accumulation downwind of an obstruction: The <scp>O</scp>hara <scp>E</scp>ulerian particle distribution equation","year":2017,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Global Institute for Water Security; University of Saskatchewan","funders":"","keywords":"Snow; Environmental science; Wind speed; Meteorology; Atmospheric sciences; Geology; Geography","score_opus":0.156525633863329,"score_gpt":0.33337619421466025,"score_spread":0.17685056035133126,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2810417508","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9969729,0.00028296182,0.0009952609,0.00036204202,0.00020314344,0.00034913715,0.00006646522,0.000033881293,0.00073417084],"genre_scores_gemma":[0.9984827,0.00006516854,0.00015518244,0.000016699794,0.00041799108,0.000010487733,0.0003641407,0.000007984208,0.00047963846],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9974493,0.0002841784,0.00036921917,0.00036645334,0.00088689406,0.0006439983],"domain_scores_gemma":[0.9981432,0.0006363458,0.00010783798,0.0006681259,0.0003066411,0.00013785454],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0018328066,0.00014762975,0.00018186314,0.000041315157,0.0030545765,0.00067386683,0.0006287989,0.000099934376,0.0001120862],"category_scores_gemma":[0.0014445493,0.00009408656,0.000093679235,0.00023756357,0.0002895838,0.0007603407,0.00012460032,0.000297625,0.00008600699],"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":[0.00003662851,0.00008908804,0.4677498,0.000071417555,0.00013539477,0.000010472634,0.029019834,0.46035606,0.002318363,0.00015618457,0.00057249254,0.039484262],"study_design_scores_gemma":[0.00026253442,0.000099379744,0.39938736,0.000026828407,0.000016877753,0.0000023896262,0.005798302,0.5792953,0.0020760654,0.00076163176,0.012241713,0.00003165206],"about_ca_topic_score_codex":0.0058659404,"about_ca_topic_score_gemma":0.0017184304,"teacher_disagreement_score":0.11893919,"about_ca_system_score_codex":0.00002140128,"about_ca_system_score_gemma":0.00002319261,"threshold_uncertainty_score":0.99824333},"labels":[],"label_agreement":null},{"id":"W2810861343","doi":"10.1029/2017wr022290","title":"Mitigating Public Concerns About Recycled Drinking Water: Leveraging the Power of Voting and Communication","year":2018,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Environmental Education and Sustainability","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":"University of Alberta","funders":"Office of Experimental Program to Stimulate Competitive Research; U.S. Department of Agriculture; National Science Foundation","keywords":"Voting; Persuasion; Context (archaeology); Willingness to accept; Contingent valuation; Psychology; Willingness to pay; Business; Social psychology; Environmental economics; Economics; Political science; Microeconomics; Law","score_opus":0.04639343022544248,"score_gpt":0.32974137892199107,"score_spread":0.2833479486965486,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2810861343","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9844113,0.00006026512,0.000028856704,0.004743634,0.000019517978,0.00020036518,4.913356e-7,0.000016524396,0.010519062],"genre_scores_gemma":[0.9986074,0.000014660807,0.00015250538,0.00015716958,0.000032196203,0.000023805722,0.000005179584,0.000013647485,0.0009934092],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9977345,0.000681999,0.0002531262,0.00027992637,0.000544362,0.00050612836],"domain_scores_gemma":[0.99914664,0.00019457353,0.000040361378,0.00048351637,0.000039627863,0.000095297895],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0029716983,0.00009200278,0.000102906764,0.000052705534,0.0010684432,0.00015043833,0.00050833845,0.00004785213,0.0018622908],"category_scores_gemma":[0.0001549198,0.000051457166,0.000029859719,0.00013781953,0.002217516,0.00020308408,0.0012836686,0.00028517286,0.00007002055],"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":[0.000025426702,0.00008967615,0.71791637,0.00002635673,0.000017306647,0.0000010800441,0.21102189,0.000022154487,0.057229083,0.00022277956,0.00028377533,0.013144103],"study_design_scores_gemma":[0.00072854117,0.0002327645,0.4634117,0.00011010559,0.000010312617,0.000015388157,0.07036124,0.0035528443,0.22581351,0.004480473,0.23085591,0.00042722316],"about_ca_topic_score_codex":0.0014198185,"about_ca_topic_score_gemma":0.00016899878,"teacher_disagreement_score":0.25450468,"about_ca_system_score_codex":0.00018908251,"about_ca_system_score_gemma":0.000005270016,"threshold_uncertainty_score":0.99905014},"labels":[],"label_agreement":null},{"id":"W2811170592","doi":"10.1029/2017wr022356","title":"Groundwater Subsidy From Headwaters to Their Parent Water Watershed: A Combined Field‐Modeling Approach","year":2018,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":65,"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 Sciences and Engineering Research Council of Canada; American Geophysical Union","keywords":"Groundwater; Hydrology (agriculture); Groundwater recharge; Watershed; Environmental science; Groundwater flow; Water table; Subsidy; Geology; Aquifer","score_opus":0.06314741889745862,"score_gpt":0.29559017973621077,"score_spread":0.23244276083875215,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2811170592","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9769531,0.000013109037,0.0015211627,0.0072492105,0.00018423836,0.00079581933,0.000005064056,0.00013574383,0.013142535],"genre_scores_gemma":[0.9922189,0.000010174909,0.00041751153,0.0014311466,0.00031111974,0.00025020467,0.000108714135,0.000056639135,0.0051955767],"study_design_codex":"qualitative","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.994771,0.00057564495,0.00045548778,0.001197175,0.0009269532,0.0020737436],"domain_scores_gemma":[0.99863154,0.00006807519,0.000018858189,0.00088523875,0.00005701205,0.00033929333],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0018492058,0.00041413243,0.00041471142,0.0002784175,0.0012222824,0.0002938697,0.0011792534,0.00019500032,0.004035105],"category_scores_gemma":[0.000021275246,0.00021426742,0.0001221372,0.00023376539,0.00068361417,0.00031750472,0.0033002223,0.00051436876,0.010311623],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0061565344,0.0019317744,0.14868735,0.00016124434,0.0010966464,0.00021920392,0.53855526,0.013268143,0.22623596,0.000049577226,0.057760127,0.005878176],"study_design_scores_gemma":[0.002707226,0.003389999,0.0032343562,0.00007041625,0.00007224906,0.000010583389,0.006976832,0.027107501,0.53276473,0.007231449,0.41470775,0.0017268818],"about_ca_topic_score_codex":0.0067825816,"about_ca_topic_score_gemma":0.00045701914,"teacher_disagreement_score":0.5315784,"about_ca_system_score_codex":0.00018332204,"about_ca_system_score_gemma":0.0000023976081,"threshold_uncertainty_score":0.9998313},"labels":[],"label_agreement":null},{"id":"W2886794651","doi":"10.1029/2018wr022874","title":"Insights From Unsteady Flow Analysis of Underdamped Slug Tests in Fractured Rock","year":2018,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Groundwater flow and contamination studies","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":false,"ca_institutions":"University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada; Boeing","keywords":"Laminar flow; Mechanics; Flow (mathematics); Geology; Slug test; Slug flow; Acceleration; Pressure gradient; Flow conditions; Geotechnical engineering; Pressure sensor; Two-phase flow; Physics; Thermodynamics; Classical mechanics","score_opus":0.03545778953969382,"score_gpt":0.3089579313235966,"score_spread":0.2735001417839028,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2886794651","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.995219,0.000066772474,0.0007007323,0.00020952077,0.000030722575,0.00016154266,0.00000931736,0.000016860298,0.0035855316],"genre_scores_gemma":[0.9958397,0.0000051597476,0.000103063605,0.000056606204,0.00005140475,0.000023754073,0.00003742927,0.000011325126,0.0038715329],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9974868,0.0003415581,0.00031207319,0.00044166314,0.0009935142,0.00042436685],"domain_scores_gemma":[0.99922925,0.00016916997,0.000036312937,0.00041078773,0.000067769324,0.000086705535],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00038017784,0.00013355612,0.00030260772,0.0005133926,0.00021318534,0.000063888416,0.00044507676,0.000088670764,0.0021268404],"category_scores_gemma":[0.000047218622,0.00008704202,0.000075836324,0.001319315,0.0003481854,0.00015109223,0.0005878787,0.0002149301,0.00083675934],"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":[0.00026000373,0.00042909698,0.64595544,0.000015347394,0.00074446015,0.000045358345,0.13087569,0.0042826063,0.19752292,0.0000146033035,0.0012019927,0.018652463],"study_design_scores_gemma":[0.00050766993,0.00014394042,0.87597454,0.000015340263,0.000061567924,1.912924e-7,0.0013002489,0.015029321,0.050759997,0.0004935775,0.055528726,0.000184858],"about_ca_topic_score_codex":0.0073362817,"about_ca_topic_score_gemma":0.017432598,"teacher_disagreement_score":0.23001911,"about_ca_system_score_codex":0.0001482993,"about_ca_system_score_gemma":0.0000045808347,"threshold_uncertainty_score":0.99994123},"labels":[],"label_agreement":null},{"id":"W2887816638","doi":"10.1029/2018wr023452","title":"Water Sector Assumptions for the Shared Socioeconomic Pathways in an Integrated Modeling Framework","year":2018,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Water resources management and optimization","field":"Engineering","cited_by":73,"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":"Battelle; U.S. Department of Energy; Pacific Northwest National Laboratory; Office of Science; National Science Foundation","keywords":"Water sector; Environmental economics; Scenario analysis; Environmental science; Water use; Set (abstract data type); Natural resource economics; Agriculture; Sustainability; Virtual water; Electricity; Business; Environmental resource management; Water resource management; Water supply; Computer science; Economics; Environmental engineering; Water scarcity; Engineering; Geography","score_opus":0.08874407725449039,"score_gpt":0.30658689442785,"score_spread":0.21784281717335957,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2887816638","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9607515,0.00006677157,0.03706653,0.00036739852,0.00016523975,0.0008070136,0.000019953364,0.00022420938,0.0005313842],"genre_scores_gemma":[0.99699163,0.000023505869,0.0012176809,0.000040755393,0.0005997818,0.00033749625,0.00017251822,0.00008604055,0.00053059735],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99805874,0.00014049497,0.00031497635,0.0003427303,0.0002591335,0.0008839234],"domain_scores_gemma":[0.9991916,0.00010342472,0.000009802812,0.0004585927,0.00014871503,0.000087908615],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001214776,0.00019059329,0.00017304157,0.0004117714,0.00046820127,0.00054030505,0.00064191234,0.00016460357,0.00075375114],"category_scores_gemma":[0.000022031587,0.000106519175,0.00006780204,0.00014990402,0.00013734963,0.00030389323,0.00018122063,0.00049418415,0.00044645488],"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":[0.00016424223,0.00005809571,0.000979819,0.00011493625,0.00009508382,0.000003705178,0.056495056,0.9308213,0.0075027663,0.00010997786,0.00093767303,0.002717328],"study_design_scores_gemma":[0.0003110793,0.0000917071,0.0001209408,0.000036320605,0.000007895304,4.2236076e-7,0.0011185707,0.9552409,0.0049436707,0.0014121068,0.036527433,0.00018893743],"about_ca_topic_score_codex":0.000122016696,"about_ca_topic_score_gemma":0.00030102127,"teacher_disagreement_score":0.055376485,"about_ca_system_score_codex":0.00016954231,"about_ca_system_score_gemma":0.000005137353,"threshold_uncertainty_score":0.8253047},"labels":[],"label_agreement":null},{"id":"W2888235474","doi":"10.1029/2017wr022059","title":"Beyond Regime: A Stochastic Model of Floods, Bank Erosion, and Channel Migration","year":2018,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Sediment Transport Processes","field":"Environmental Science","cited_by":56,"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; BGC Engineering (Canada)","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Channel (broadcasting); Bank erosion; STREAMS; Stochastic modelling; Hydrology (agriculture); Erosion; Flood myth; Flow (mathematics); Environmental science; Geology; Geography; Mathematics; Statistics; Geomorphology; Geometry; Computer science; Geotechnical engineering","score_opus":0.03141836455612117,"score_gpt":0.2789476572764472,"score_spread":0.24752929272032603,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2888235474","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99524283,0.000073500145,0.0015072491,0.0007880699,0.000016695714,0.00017915826,0.0000049893747,0.000016856553,0.0021706612],"genre_scores_gemma":[0.9976999,0.000022766902,0.00014458125,0.00006349112,0.000045727695,0.000022461487,0.000009234488,0.000010676994,0.0019811299],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985653,0.000081334845,0.00016852061,0.00031363842,0.00048561444,0.0003855699],"domain_scores_gemma":[0.9996064,0.000035014204,0.00002075871,0.00020004093,0.00003813382,0.0000996912],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007948026,0.000091987866,0.00011925576,0.000092834794,0.0002882864,0.000020074825,0.0002238191,0.00009611005,0.0006743081],"category_scores_gemma":[0.000023184848,0.000062851694,0.000019332052,0.00016236611,0.0011162321,0.00014982828,0.00016642087,0.00017400387,0.00017514545],"study_design_candidate":"bench_or_experimental","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":[0.0011192614,0.00048551775,0.02187352,0.00019613023,0.000061224564,0.00001371452,0.11145436,0.04028269,0.8163634,0.00016966357,0.0052078315,0.0027727028],"study_design_scores_gemma":[0.0017776741,0.0020470028,0.007832684,0.0001149307,0.000051190138,0.00001963813,0.00078037,0.511659,0.43277436,0.032768603,0.009547864,0.0006266303],"about_ca_topic_score_codex":0.00035199494,"about_ca_topic_score_gemma":0.0003960077,"teacher_disagreement_score":0.47137636,"about_ca_system_score_codex":0.000016916309,"about_ca_system_score_gemma":0.0000058427745,"threshold_uncertainty_score":0.7383201},"labels":[],"label_agreement":null},{"id":"W2888611605","doi":"10.1029/2018wr022732","title":"A Diagnostic Framework for Understanding Climatology of Tails of Hourly Precipitation Extremes in the United States","year":2018,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Climate variability and models","field":"Environmental Science","cited_by":77,"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; Geological Survey of Canada","funders":"Division of Civil, Mechanical and Manufacturing Innovation; California Energy Commission; National Aeronautics and Space Administration; National Oceanic and Atmospheric Administration; National Science Foundation","keywords":"Downscaling; Precipitation; Climatology; Probabilistic logic; Environmental science; Bayesian probability; Parametric statistics; Climate extremes; Meteorology; Econometrics; Statistics; Mathematics; Geography; Geology","score_opus":0.16674905528757142,"score_gpt":0.37786749180388923,"score_spread":0.21111843651631781,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2888611605","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9911273,0.00001301695,0.006824577,0.0010102821,0.000017910494,0.00054792955,0.000020819542,0.0000057108464,0.00043243868],"genre_scores_gemma":[0.9988733,0.000033279997,0.00091476756,0.00003444742,0.000017047356,0.00006634883,0.00003113536,0.000008329857,0.000021373713],"study_design_codex":"qualitative","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9982365,0.0005035934,0.0002698125,0.00020004553,0.00040282018,0.00038725996],"domain_scores_gemma":[0.995386,0.004238012,0.00004612086,0.0002572724,0.000041297528,0.000031292337],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026628308,0.00006736923,0.00013676983,0.00017433133,0.00013354755,0.00002494545,0.00035214087,0.00008229559,0.00025990655],"category_scores_gemma":[0.00097255537,0.00004033876,0.000033544562,0.00043252393,0.0009842839,0.000072703486,0.00016888333,0.00015996571,0.000020810714],"study_design_candidate":"theoretical_or_conceptual","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":[0.0011636021,0.0008466451,0.38835025,0.00056665926,0.00004917955,0.0000069525513,0.55394965,0.008463434,0.017238198,0.027540864,0.0011005459,0.0007240508],"study_design_scores_gemma":[0.00096259644,0.0017002184,0.02017895,0.00030001358,0.000021069274,0.0000040763425,0.046087448,0.027759084,0.015941774,0.8806775,0.0061378945,0.00022934366],"about_ca_topic_score_codex":0.0014107428,"about_ca_topic_score_gemma":0.00058466644,"teacher_disagreement_score":0.85313666,"about_ca_system_score_codex":0.00008568067,"about_ca_system_score_gemma":0.0000046698738,"threshold_uncertainty_score":0.3626635},"labels":[],"label_agreement":null},{"id":"W2889037622","doi":"10.1029/2017wr022358","title":"Streamline Tracing Methods Based on Piecewise Polynomial Pressure Approximations","year":2018,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Reservoir Engineering and Simulation Methods","field":"Engineering","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":"Petroleum Research Newfoundland and Labrador; Memorial University of Newfoundland","funders":"Research and Development Corporation of Newfoundland and Labrador; National Natural Science Foundation of China","keywords":"Piecewise; Applied mathematics; Polynomial; Mathematics; Grid; Bilinear interpolation; Laplace transform; Mathematical optimization; Cubic function; Vector field; Algorithm; Mathematical analysis; Geometry","score_opus":0.06121090485670405,"score_gpt":0.38723869333947636,"score_spread":0.3260277884827723,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2889037622","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.59128356,0.0002488005,0.37756515,0.00040332615,0.00037763634,0.000559529,0.00002752086,0.0008748721,0.02865961],"genre_scores_gemma":[0.9053153,0.0000045821685,0.09155905,0.000017100338,0.000725609,0.00006708852,0.000023457567,0.00007985928,0.0022079998],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99739975,0.0006381911,0.00030503998,0.00032604163,0.0006092945,0.00072168425],"domain_scores_gemma":[0.9984336,0.0005280784,0.000012529764,0.00063721894,0.00018458454,0.00020398466],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028189283,0.0002071619,0.00022991296,0.00062091346,0.0003054567,0.00018930486,0.0004001013,0.00016335932,0.00045313404],"category_scores_gemma":[0.00026672208,0.00015620611,0.00008293617,0.00045955126,0.0001479082,0.000114139715,0.00007209672,0.00062351365,0.00015999861],"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":[0.00006136065,0.000034990764,0.00007821774,0.00011370928,0.000036752943,0.000003192943,0.0017110362,0.9694385,0.01667108,0.000012646215,0.0011998625,0.010638663],"study_design_scores_gemma":[0.00039990593,0.0001070196,0.00016122787,0.000037228907,0.000007263075,0.0000010243988,0.000043226904,0.76954633,0.08339678,0.0000552833,0.14609236,0.00015234835],"about_ca_topic_score_codex":0.0000314714,"about_ca_topic_score_gemma":0.00000363891,"teacher_disagreement_score":0.3140317,"about_ca_system_score_codex":0.000060258833,"about_ca_system_score_gemma":0.000012161091,"threshold_uncertainty_score":0.63699},"labels":[],"label_agreement":null},{"id":"W2889289775","doi":"10.1029/2017wr022280","title":"The Effect of Episodic Sediment Supply on Bedload Variability and Sediment Mobility","year":2018,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Sediment Transport Processes","field":"Environmental Science","cited_by":26,"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 British Columbia","funders":"","keywords":"Bed load; Sediment; Geology; Hyperconcentrated flow; Grain size; Hydrology (agriculture); Sediment transport; Environmental science; Soil science; Geomorphology; Geotechnical engineering","score_opus":0.013294563259938885,"score_gpt":0.28448722559308776,"score_spread":0.27119266233314887,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2889289775","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98907423,0.000053142405,0.000006426352,0.0010856314,0.000055894485,0.00062592974,0.000005979928,0.00002095534,0.009071789],"genre_scores_gemma":[0.99899477,0.000033090717,0.000014084971,0.000051267576,0.00005598488,0.00009584723,0.000004772074,0.00000979197,0.00074039365],"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9966852,0.0009839106,0.00027969296,0.0005211945,0.0008880956,0.0006419224],"domain_scores_gemma":[0.99841833,0.0008377078,0.000029942234,0.0005392943,0.000027033704,0.00014769688],"candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00767162,0.00015825404,0.00019872529,0.00004605275,0.00073746283,0.00003495201,0.00044859786,0.000107526546,0.0019338023],"category_scores_gemma":[0.00010707431,0.000077797275,0.000047230802,0.00017785712,0.0031010262,0.00007608418,0.0003392651,0.00036056078,0.00037189652],"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":[0.0027592473,0.00039166966,0.9454219,0.00016815905,0.00008479499,0.0000122700885,0.008166093,0.00023028921,0.021968924,0.00005015821,0.001339188,0.019407343],"study_design_scores_gemma":[0.0012578344,0.0075199995,0.14398344,0.00003966357,0.000029676092,0.000004837551,0.000096656215,0.0006358775,0.6510762,0.0016126952,0.19350043,0.00024267999],"about_ca_topic_score_codex":0.00042654708,"about_ca_topic_score_gemma":0.00006564073,"teacher_disagreement_score":0.80143845,"about_ca_system_score_codex":0.00008421554,"about_ca_system_score_gemma":0.0000058949395,"threshold_uncertainty_score":0.999612},"labels":[],"label_agreement":null},{"id":"W2889324382","doi":"10.1029/2018wr022982","title":"The Origin of Fine Sediment Determines the Observations of Suspended Sediment Fluxes Under Unsteady Flow Conditions","year":2018,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Sediment Transport Processes","field":"Environmental Science","cited_by":68,"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 British Columbia","funders":"","keywords":"Sediment; Aggradation; Flume; Geology; Hydrology (agriculture); Sedimentary budget; Channel (broadcasting); Sediment transport; STREAMS; Environmental science; Flow (mathematics); Geomorphology; Geotechnical engineering; Fluvial; Structural basin; Mechanics","score_opus":0.06826757638956206,"score_gpt":0.32662250618727623,"score_spread":0.2583549297977142,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2889324382","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99035746,0.0000664721,0.000041314455,0.0056584775,0.00007069349,0.00038199787,0.000020681357,0.00001558219,0.003387341],"genre_scores_gemma":[0.99611485,0.000025850257,0.000103022285,0.000094910225,0.00007009564,0.00007295161,0.000028961054,0.000011322924,0.0034780505],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99782586,0.00025287582,0.00036586373,0.00025405936,0.00082218234,0.00047918607],"domain_scores_gemma":[0.9989104,0.00039458333,0.00005999425,0.00047002424,0.000095666575,0.00006928549],"candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0013431422,0.00012319142,0.00015087378,0.00005888878,0.00093015225,0.000029457688,0.0007074085,0.00006993523,0.0030014454],"category_scores_gemma":[0.000030231602,0.000057925798,0.000059106103,0.00040801903,0.0028697534,0.00011280682,0.0002231777,0.00021960396,0.00018325922],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009753461,0.0015991759,0.25474492,0.00020410522,0.0006604333,0.0000284742,0.058717813,0.022435756,0.6219619,0.003408458,0.030010054,0.0052535557],"study_design_scores_gemma":[0.0011040182,0.0010939606,0.08398866,0.000061513354,0.00007293712,0.0000092639075,0.0020279554,0.005854003,0.5629381,0.010050894,0.33251044,0.00028827073],"about_ca_topic_score_codex":0.00076431665,"about_ca_topic_score_gemma":0.0018724515,"teacher_disagreement_score":0.3025004,"about_ca_system_score_codex":0.00004372993,"about_ca_system_score_gemma":0.000020558842,"threshold_uncertainty_score":0.99984384},"labels":[],"label_agreement":null},{"id":"W2889514878","doi":"10.1029/2017wr022445","title":"Changes to the Water Balance Over a Century of Urban Development in Two Neighborhoods: Vancouver, Canada","year":2018,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Urban Heat Island Mitigation","field":"Environmental Science","cited_by":39,"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 British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Maj ja Tor Nesslingin Säätiö; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada; Canadian Foundation for Climate and Atmospheric Sciences; Canada Foundation for Innovation","keywords":"Impervious surface; Surface runoff; Environmental science; Hydrology (agriculture); Urbanization; Irrigation; Water balance; Water cycle; Evapotranspiration; Water conservation; Water resource management; Geography; Geology","score_opus":0.01841776219784522,"score_gpt":0.26972307770439535,"score_spread":0.2513053155065501,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2889514878","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9941024,0.00002531413,0.000004486234,0.001311168,0.00016997663,0.0003976015,0.0000056084255,0.0000074123586,0.0039759926],"genre_scores_gemma":[0.9937066,0.0000050700482,0.000087144916,0.0003531978,0.00013322626,0.00007079187,0.00000658596,0.000014602104,0.0056227827],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99760306,0.00019231427,0.0001980012,0.00031435187,0.0009606568,0.0007316234],"domain_scores_gemma":[0.9994534,0.000042604956,0.000014705209,0.00033983233,0.00003226007,0.00011714827],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00091930415,0.000110487,0.00012038364,0.00008658336,0.00018571381,0.000029050298,0.00049133203,0.000030168452,0.0016394453],"category_scores_gemma":[0.000024201914,0.00005031747,0.000013266351,0.0002626093,0.00019452778,0.00006247845,0.0005915422,0.00018356883,0.00027811422],"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":[0.00022347097,0.00011577689,0.5714475,0.00004320437,0.000025067984,0.000030794905,0.10584749,0.00015633203,0.09197446,0.000007986328,0.22033556,0.00979238],"study_design_scores_gemma":[0.00021620943,0.000054048105,0.035462193,0.000023075214,8.738217e-7,6.0197954e-7,0.00028973594,0.00010078927,0.19305995,0.000022568676,0.77067953,0.000090400674],"about_ca_topic_score_codex":0.39146966,"about_ca_topic_score_gemma":0.9609436,"teacher_disagreement_score":0.5694739,"about_ca_system_score_codex":0.00048748855,"about_ca_system_score_gemma":0.0000329473,"threshold_uncertainty_score":0.9992732},"labels":[],"label_agreement":null},{"id":"W2889653743","doi":"10.1029/2018wr023087","title":"Climate Controls on Runoff and Low Flows in Mountain Catchments of Western North America","year":2018,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":115,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Environment and Climate Change Canada; University of Saskatchewan; Simon Fraser University","funders":"Simon Fraser University; Pacific Institute for Climate Solutions","keywords":"Snowmelt; Surface runoff; Precipitation; Environmental science; Climate change; Hydrology (agriculture); Water year; Snow; Streamflow; Climatology; Drainage basin; Geography; Geology; Meteorology; Ecology","score_opus":0.020303535252688538,"score_gpt":0.29437483757397587,"score_spread":0.27407130232128735,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2889653743","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9930467,0.000013955042,0.0000027858232,0.00071788195,0.00001868689,0.0003261724,0.0000067292726,0.00001110035,0.0058559594],"genre_scores_gemma":[0.9987106,0.00006634672,0.00002050272,0.00022049774,0.000030237718,0.00004456906,0.0000060241514,0.0000098397795,0.0008914058],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99813724,0.00024653404,0.00020021465,0.0003480407,0.0004203144,0.0006476565],"domain_scores_gemma":[0.9995912,0.00006124212,0.000025979421,0.00024372626,0.000011489575,0.00006636365],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007117025,0.000115001276,0.00019602638,0.00014566425,0.00022083231,0.000025307047,0.00026806956,0.00004302113,0.00026512527],"category_scores_gemma":[0.000014355116,0.00007628359,0.000018936913,0.00017417033,0.00097420625,0.00008410764,0.0008220965,0.00018221018,0.00094319775],"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":[0.00035558437,0.00011552859,0.9840287,0.000025567137,0.000020446218,0.00002353838,0.009118176,0.0003162381,0.0028133462,0.000002066714,0.00024856848,0.0029322242],"study_design_scores_gemma":[0.0019241398,0.001593796,0.89844584,0.000070907074,0.000010887654,0.0000016064956,0.0007482715,0.002333671,0.00726087,0.00025668213,0.08706106,0.00029227833],"about_ca_topic_score_codex":0.0010324598,"about_ca_topic_score_gemma":0.0017657443,"teacher_disagreement_score":0.08681249,"about_ca_system_score_codex":0.00005546013,"about_ca_system_score_gemma":0.0000010380398,"threshold_uncertainty_score":0.99983466},"labels":[],"label_agreement":null},{"id":"W2889678130","doi":"10.1029/2017wr022478","title":"A Continental‐Scale Hydroeconomic Model for Integrating Water‐Energy‐Land Nexus Solutions","year":2018,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Water-Energy-Food Nexus Studies","field":"Environmental Science","cited_by":90,"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 Victoria","funders":"International Institute for Applied Systems Analysis; Global Environment Facility","keywords":"Nexus (standard); Sustainability; Scale (ratio); Climate change; Environmental resource management; Scenario analysis; Agriculture; Water resources; Investment (military); Water supply; Natural resource economics; Environmental economics; Environmental science; Business; Economics; Computer science; Geography; Environmental engineering","score_opus":0.05888803686949613,"score_gpt":0.2943719072888416,"score_spread":0.2354838704193455,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2889678130","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9092544,0.00005847651,0.0040698154,0.0025743984,0.00013170835,0.0003975985,0.00006997255,0.000114011986,0.08332965],"genre_scores_gemma":[0.9733697,0.000004401936,0.00061711646,0.00013904077,0.0004023418,0.00034154695,0.000048300655,0.00005921391,0.025018327],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9963866,0.00018821617,0.00040489106,0.00076346786,0.0005119531,0.0017448927],"domain_scores_gemma":[0.9990662,0.00008835177,0.000036270423,0.000511839,0.000067518115,0.00022986032],"candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0011397435,0.00027485332,0.00030147049,0.00017834647,0.0016407358,0.00018343686,0.00072227913,0.0001235849,0.0005926652],"category_scores_gemma":[0.000030233528,0.00016887455,0.00012872877,0.00013397662,0.0012879432,0.00028251729,0.001817191,0.00023381886,0.000816232],"study_design_candidate":"bench_or_experimental","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":[0.0012843839,0.00087731594,0.008090917,0.00011342647,0.00037498004,0.000026781727,0.09705758,0.014362635,0.8064936,0.0038197057,0.055855524,0.011643163],"study_design_scores_gemma":[0.0011517562,0.00073991594,0.000154274,0.00004071447,0.000021625778,0.00001761597,0.001181994,0.54588634,0.23469293,0.061617207,0.15394023,0.0005554165],"about_ca_topic_score_codex":0.0050645494,"about_ca_topic_score_gemma":0.0099741565,"teacher_disagreement_score":0.57180065,"about_ca_system_score_codex":0.00032164544,"about_ca_system_score_gemma":0.000008330878,"threshold_uncertainty_score":0.99996173},"labels":[],"label_agreement":null},{"id":"W2891210234","doi":"10.1029/2018wr023112","title":"Flow, Flux, and Feeding in Freshwater Mussels","year":2018,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Aquatic Invertebrate Ecology and Behavior","field":"Environmental Science","cited_by":33,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"Fisheries and Oceans Canada; Natural Sciences and Engineering Research Council of Canada; Ontario Ministry of Natural Resources and Forestry","keywords":"Seston; Mussel; Unionidae; Bivalvia; Biology; Ecology; Fishery; Mollusca; Phytoplankton; Nutrient","score_opus":0.042534731587910254,"score_gpt":0.31091360796307477,"score_spread":0.2683788763751645,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2891210234","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9832134,0.000007960167,0.000006082981,0.00064082124,0.000050917683,0.0001821811,0.0000016194582,0.0000168722,0.015880113],"genre_scores_gemma":[0.9867628,0.00000277822,0.0004026169,0.00012262206,0.00010291095,0.000029238252,0.0000047710732,0.000012463128,0.012559782],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9982188,0.00021713662,0.00016144628,0.00034997828,0.0003724952,0.00068018213],"domain_scores_gemma":[0.9996305,0.000050557654,0.000009570618,0.00019106611,0.000013296632,0.00010501152],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0014937739,0.00009502535,0.00011341273,0.0001251337,0.00033205716,0.00006617432,0.00026412957,0.00011528327,0.03763793],"category_scores_gemma":[0.000034705172,0.0000612172,0.000016092557,0.00018939545,0.001050438,0.0001601727,0.0006409203,0.0003119858,0.010701475],"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":[0.00015574672,0.00019541841,0.6433328,0.00002107417,0.000011647296,0.00017686689,0.048983652,0.000043993823,0.26018888,0.000021276062,0.032674212,0.014194472],"study_design_scores_gemma":[0.0015616108,0.00090381125,0.30217192,0.000056941775,0.000011816148,0.000050363702,0.0020173707,0.026111852,0.2803551,0.003675585,0.3824768,0.0006067958],"about_ca_topic_score_codex":0.00064913725,"about_ca_topic_score_gemma":0.0031357082,"teacher_disagreement_score":0.3498026,"about_ca_system_score_codex":0.00008461311,"about_ca_system_score_gemma":0.000002992824,"threshold_uncertainty_score":0.9900688},"labels":[],"label_agreement":null},{"id":"W2891996649","doi":"10.1029/2018wr022726","title":"Precise Temporal Disaggregation Preserving Marginals and Correlations (DiPMaC) for Stationary and Nonstationary Processes","year":2018,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Climate variability and models","field":"Environmental Science","cited_by":64,"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":"California Energy Commission; National Aeronautics and Space Administration; National Oceanic and Atmospheric Administration; National Science Foundation","keywords":"Scale (ratio); Marginal distribution; Series (stratigraphy); A priori and a posteriori; Computer science; Bernoulli trial; Process (computing); Econometrics; Log-normal distribution; Mathematics; Statistics; Random variable; Geology; Geography","score_opus":0.06910496065091305,"score_gpt":0.3452135118096057,"score_spread":0.27610855115869265,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2891996649","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99386466,0.000085586384,0.0012216318,0.0014129741,0.000018363085,0.0007651094,0.00005608513,0.000024649748,0.0025509275],"genre_scores_gemma":[0.994143,0.000046990353,0.002781448,0.000026892865,0.0000646835,0.0001903325,0.000095151154,0.00001361406,0.0026378706],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99863285,0.00013245556,0.00017795067,0.00035974444,0.00038287087,0.00031411927],"domain_scores_gemma":[0.9990922,0.00051037426,0.000028214992,0.00015923384,0.00010537602,0.00010460209],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010588346,0.00008659852,0.00008522251,0.00008619643,0.0007349374,0.00012699058,0.00013140221,0.00005468134,0.0006084823],"category_scores_gemma":[0.00028943797,0.00006552923,0.000012170185,0.00018352628,0.00068645156,0.00047896706,0.00035791425,0.0000990701,0.000047140158],"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":[0.0012615791,0.0005122147,0.8376599,0.0011508643,0.000055046283,0.0000061866317,0.10545639,0.0023584114,0.019752257,0.00051661185,0.009811003,0.021459542],"study_design_scores_gemma":[0.0028901508,0.0017805852,0.23286149,0.00038994322,0.00005727341,0.000045994562,0.0060795196,0.25475013,0.011684423,0.13633834,0.3520956,0.0010265493],"about_ca_topic_score_codex":0.00036932947,"about_ca_topic_score_gemma":0.00032817756,"teacher_disagreement_score":0.6047984,"about_ca_system_score_codex":0.00004796742,"about_ca_system_score_gemma":0.000014890054,"threshold_uncertainty_score":0.66624546},"labels":[],"label_agreement":null},{"id":"W2892880053","doi":"10.1029/2018wr022649","title":"Dependency and Redundancy: How Information Theory Untangles Three Variable Interactions in Environmental Data","year":2018,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Geochemistry and Geologic Mapping","field":"Computer 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":"University of British Columbia","funders":"","keywords":"Generality; Redundancy (engineering); Computer science; Dependency (UML); Information theory; Context (archaeology); Flexibility (engineering); Theoretical computer science; Variable (mathematics); Data mining; Data science; Mathematics; Artificial intelligence; Statistics; Geography","score_opus":0.05761896910553596,"score_gpt":0.29680879916929553,"score_spread":0.23918983006375957,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2892880053","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8869954,0.00020046333,0.033537548,0.008785267,0.0001823512,0.00044981035,0.000037092468,0.000103306564,0.06970877],"genre_scores_gemma":[0.9951126,0.0000123941245,0.0022390215,0.00004121367,0.00007842281,0.00001433798,0.000049980095,0.0000016933145,0.0024503563],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9986419,0.00018840845,0.0001397251,0.00030871225,0.00033052661,0.00039073487],"domain_scores_gemma":[0.9989497,0.00012404278,0.000024626705,0.0007940039,0.000041561052,0.00006606544],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018073315,0.00008258469,0.0000806931,0.00017001713,0.0002590668,0.00039846502,0.0011678803,0.000047208374,0.00019275036],"category_scores_gemma":[0.0001539638,0.000060533977,0.000008900053,0.00018524688,0.0002535468,0.0014774511,0.0023267132,0.00031218037,0.00011662025],"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":[0.00061956415,0.00079322787,0.13980134,0.00060011697,0.00022619085,0.000189929,0.18852705,0.00017613357,0.14866526,0.070697956,0.014311469,0.43539175],"study_design_scores_gemma":[0.0004058799,0.000111584595,0.007303336,0.00006765025,0.0000026850844,0.00007960349,0.001730081,0.031859815,0.013592848,0.07714615,0.8674772,0.00022316149],"about_ca_topic_score_codex":0.00013265944,"about_ca_topic_score_gemma":0.00011957967,"teacher_disagreement_score":0.85316575,"about_ca_system_score_codex":0.00003738026,"about_ca_system_score_gemma":0.000015671729,"threshold_uncertainty_score":0.38424075},"labels":[],"label_agreement":null},{"id":"W2896326705","doi":"10.1029/2017wr021831","title":"No Direct Linkage Between Event‐Based Runoff Generation and Groundwater Recharge on the Maimai Hillslope","year":2018,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Groundwater and Isotope Geochemistry","field":"Earth and Planetary Sciences","cited_by":21,"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 Sciences and Engineering Research Council of Canada; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada; American Geophysical Union","keywords":"Groundwater recharge; Surface runoff; Depression-focused recharge; Hydrology (agriculture); Groundwater; Aquifer; Environmental science; Bedrock; Geology; Evapotranspiration; Geomorphology; Ecology","score_opus":0.06736038795023945,"score_gpt":0.28854680916068415,"score_spread":0.22118642121044468,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2896326705","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9626459,0.0000803879,0.000019218436,0.0015913831,0.0001296186,0.0003175305,0.000045016797,0.000041932497,0.035129014],"genre_scores_gemma":[0.98536575,0.000018795887,0.000057410958,0.00034061022,0.0016249117,0.000010568599,0.00031410082,0.0000117041745,0.01225617],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99712247,0.0005695428,0.00023870036,0.00051628536,0.000760172,0.00079283374],"domain_scores_gemma":[0.99890584,0.00024089823,0.000026198426,0.00047221797,0.0001730183,0.0001818427],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0023735173,0.00019416669,0.00017904295,0.0001390787,0.0009908063,0.0005350986,0.00047517288,0.00013326405,0.00587008],"category_scores_gemma":[0.00007064553,0.00009821155,0.000055222004,0.00018718577,0.00043923053,0.00014963702,0.00008303076,0.0004505763,0.0033814355],"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":[0.00094365363,0.000246214,0.7735575,0.0003163123,0.00026669705,0.000119997465,0.011768509,0.00014943494,0.10507608,0.000035189707,0.052870434,0.05464999],"study_design_scores_gemma":[0.0005103902,0.0010424643,0.07540813,0.00006696939,0.000011612365,0.000006524729,0.00011159573,0.006070413,0.21017985,0.00026438644,0.70593625,0.00039140327],"about_ca_topic_score_codex":0.0016992075,"about_ca_topic_score_gemma":0.0003250745,"teacher_disagreement_score":0.6981493,"about_ca_system_score_codex":0.000014252967,"about_ca_system_score_gemma":0.000018408087,"threshold_uncertainty_score":0.99739456},"labels":[],"label_agreement":null},{"id":"W2898984132","doi":"10.1029/2018wr023132","title":"Effect of Elastic Deformation and Rough Grain Surface on Heat Conduction in Partially Saturated Granular Porous Media","year":2018,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Lattice Boltzmann Simulation Studies","field":"Engineering","cited_by":11,"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 Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; American Chemical Society","keywords":"Materials science; Thermal conduction; Porous medium; Thermal conductivity; Lattice Boltzmann methods; Porosity; Granular material; Fractal dimension; Saturation (graph theory); Mineralogy; Composite material; Mechanics; Fractal; Geotechnical engineering; Geology","score_opus":0.030862741410806045,"score_gpt":0.30755958521089666,"score_spread":0.27669684380009063,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2898984132","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9987662,0.00017074235,0.000034791647,0.000072558854,0.00010795728,0.00033046855,0.0000042802617,0.00007239811,0.00044060743],"genre_scores_gemma":[0.9997745,0.00002624389,0.00002415692,0.000004063374,0.00007602292,0.000012570207,0.00001743821,0.000022457616,0.00004255722],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.998329,0.00039533945,0.00026972187,0.00017084386,0.000469622,0.00036551539],"domain_scores_gemma":[0.99923235,0.00039321944,0.000012703206,0.00016894867,0.00013825829,0.00005454526],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014862155,0.00013055158,0.00021614126,0.00024362015,0.00010648645,0.00004549753,0.00008887357,0.000088125475,0.000021004718],"category_scores_gemma":[0.00017583999,0.00008770925,0.000019417994,0.00030339888,0.00021826281,0.00017195957,0.00006257003,0.00025103608,0.00007224304],"study_design_candidate":"bench_or_experimental","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":[0.0028092256,0.00011732799,0.040908355,0.0016995799,0.0002272553,0.000052347983,0.12459895,0.41222715,0.40435317,0.00010379368,0.00080773595,0.012095115],"study_design_scores_gemma":[0.003133205,0.0017874938,0.035669807,0.00029924212,0.00002928857,0.00001314931,0.000679775,0.21807694,0.73530746,0.00029974148,0.0042980984,0.00040578452],"about_ca_topic_score_codex":0.00015323413,"about_ca_topic_score_gemma":0.00016255751,"teacher_disagreement_score":0.3309543,"about_ca_system_score_codex":0.00007400278,"about_ca_system_score_gemma":0.0000035648995,"threshold_uncertainty_score":0.35766795},"labels":[],"label_agreement":null},{"id":"W2899039256","doi":"10.1029/2018wr023120","title":"Hydrological Drought Instantaneous Propagation Speed Based on the Variable Motion Relationship of Speed‐Time Process","year":2018,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Drought Analysis","field":"Environmental Science","cited_by":116,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ministry of Environment; Ministry of the Environment, Conservation and Parks","funders":"National Natural Science Foundation of China","keywords":"Variable (mathematics); Duration (music); Environmental science; Process (computing); Drainage basin; Sensitivity (control systems); Event (particle physics); Hydrology (agriculture); Computer science; Geology; Geography; Mathematics; Engineering","score_opus":0.03767254128988615,"score_gpt":0.29161884897084545,"score_spread":0.25394630768095927,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2899039256","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9170483,0.0000028506045,0.00017540193,0.0018444074,0.000013681601,0.0003485621,0.0000030500432,0.000030231155,0.080533534],"genre_scores_gemma":[0.9954794,5.796155e-7,0.000089524896,0.00014855815,0.00008744948,0.000012433817,0.000020589428,0.000012594418,0.004148844],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99693394,0.00090462377,0.00027891123,0.00040752068,0.0009939161,0.00048110003],"domain_scores_gemma":[0.9989496,0.0003862872,0.00006288068,0.00045251104,0.00007070192,0.00007803769],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0030861474,0.00012506712,0.0001617161,0.00014266882,0.0006524843,0.000047133173,0.00049475953,0.00017262543,0.009617839],"category_scores_gemma":[0.0004226072,0.00006662971,0.00005317336,0.0008504779,0.0012709865,0.00012174384,0.00015807693,0.00043489173,0.0033070534],"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":[0.004667995,0.002406344,0.40305313,0.000146882,0.00017634749,0.00016184241,0.023060247,0.2793011,0.27785984,0.0018563285,0.004898467,0.002411479],"study_design_scores_gemma":[0.0005913881,0.0013839043,0.011107302,0.00003881474,0.000041107192,0.000018430748,0.00015445043,0.8572735,0.104969285,0.015139348,0.008999657,0.000282779],"about_ca_topic_score_codex":0.00018309322,"about_ca_topic_score_gemma":0.00002588925,"teacher_disagreement_score":0.5779724,"about_ca_system_score_codex":0.000097788,"about_ca_system_score_gemma":0.00001135369,"threshold_uncertainty_score":0.997469},"labels":[],"label_agreement":null},{"id":"W2899052654","doi":"10.1029/2018wr023513","title":"A Nomograph to Incorporate Geophysical Heterogeneity in Soil Moisture Downscaling","year":2018,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Soil Moisture and Remote Sensing","field":"Environmental Science","cited_by":13,"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; National Science Foundation","keywords":"Downscaling; Environmental science; Water content; Spatial heterogeneity; Scale (ratio); Variogram; Precipitation; Radiometer; Spatial variability; Spatial ecology; Soil science; Climatology; Geology; Remote sensing; Meteorology; Geography; Mathematics; Kriging; Ecology; Statistics","score_opus":0.03160463527288917,"score_gpt":0.30618433260549893,"score_spread":0.2745796973326098,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2899052654","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.974203,0.000013022174,0.000022657152,0.0008964489,0.00007207297,0.0002625431,9.259174e-7,0.000038030936,0.024491305],"genre_scores_gemma":[0.9981437,0.0000025193417,0.00033588317,0.00029669225,0.00038425098,0.000006291911,0.0000039955985,0.000025880763,0.00080082956],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99700516,0.00034832474,0.00023073927,0.0006173449,0.0008613673,0.00093708734],"domain_scores_gemma":[0.9991517,0.000051485094,0.000019494235,0.0004644599,0.000038275146,0.00027458332],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0011437462,0.00017108009,0.00019680227,0.00023918856,0.00034083013,0.00012754856,0.00045601252,0.00012743483,0.000104163155],"category_scores_gemma":[0.00004153629,0.000111852976,0.000073119874,0.00091617694,0.00067188323,0.00009550235,0.00091437134,0.0004976485,0.0029183563],"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":[0.0004370391,0.00031435676,0.45633432,0.00002661096,0.000030107229,0.00027217387,0.024799787,0.0010315876,0.45520777,0.000008080321,0.0029047185,0.058633443],"study_design_scores_gemma":[0.00044633358,0.00037229745,0.73446226,0.00005880127,0.0000044388053,0.000018367706,0.00034041438,0.00093523756,0.1854662,0.00121243,0.07630844,0.0003747866],"about_ca_topic_score_codex":0.013322941,"about_ca_topic_score_gemma":0.030656211,"teacher_disagreement_score":0.2781279,"about_ca_system_score_codex":0.0001498784,"about_ca_system_score_gemma":0.0000049770792,"threshold_uncertainty_score":0.997858},"labels":[],"label_agreement":null},{"id":"W2899334919","doi":"10.1029/2018wr023233","title":"Wetting Behavior of Tight Rocks: From Core Scale to Pore Scale","year":2018,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Enhanced Oil Recovery Techniques","field":"Engineering","cited_by":32,"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 Alberta","funders":"Natural Resources Canada; Natural Sciences and Engineering Research Council of Canada; Canadian Natural Resources Limited; Cenovus Energy","keywords":"Disjoining pressure; Wetting; Contact angle; Quartz; Thin section; Imbibition; Mineralogy; Porosimetry; Chemistry; Intermolecular force; Core (optical fiber); DLVO theory; Composite material; Materials science; Chemical physics; Porous medium; Colloid; Organic chemistry","score_opus":0.037196452908627754,"score_gpt":0.32552086589488677,"score_spread":0.288324412986259,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2899334919","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9837118,0.0000877104,0.000576668,0.00005363654,0.00009074117,0.00035422095,0.0000464509,0.00034871264,0.014730072],"genre_scores_gemma":[0.992694,0.000014618093,0.004746246,0.00001912403,0.00033588853,0.00013175215,0.000030497118,0.000078873905,0.0019490066],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99787056,0.000070087546,0.000319991,0.00034103292,0.0006947167,0.0007036145],"domain_scores_gemma":[0.9988839,0.000083342245,0.000017663644,0.000575286,0.00025159257,0.00018821382],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005644776,0.00016871998,0.00025064708,0.00036794064,0.0001381363,0.00006778742,0.00060065434,0.00015518795,0.00059852103],"category_scores_gemma":[0.000037949285,0.00013432583,0.00006631761,0.00035621054,0.00019771219,0.00011663688,0.00035311427,0.00039871715,0.00040510762],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000054134594,0.000049700073,0.019416252,0.00007145258,0.000022455606,0.000018257775,0.008205446,0.00009238866,0.94547385,0.0000015163128,0.0059381835,0.02065636],"study_design_scores_gemma":[0.00011237248,0.00017947174,0.0034912527,0.00015731754,0.0000060997754,0.000002457781,0.00020970686,0.00038838616,0.94386554,0.00020265851,0.051213946,0.0001707904],"about_ca_topic_score_codex":0.0005169782,"about_ca_topic_score_gemma":0.00036186728,"teacher_disagreement_score":0.045275763,"about_ca_system_score_codex":0.000107186104,"about_ca_system_score_gemma":0.000008080891,"threshold_uncertainty_score":0.6553385},"labels":[],"label_agreement":null},{"id":"W2899478260","doi":"10.1029/2018wr023274","title":"AirSWOT InSAR Mapping of Surface Water Elevations and Hydraulic Gradients Across the Yukon Flats Basin, Alaska","year":2018,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":42,"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":"Oak Ridge National Laboratory; UK Space Agency; National Science Foundation","keywords":"Ocean surface topography; Permafrost; Surface water; Wetland; Landform; SWOT analysis; Hydrology (agriculture); Structural basin; Environmental science; Arctic; Interferometric synthetic aperture radar; Remote sensing; Geology; Synthetic aperture radar; Elevation (ballistics); Satellite; Subsurface flow; Geomorphology; Groundwater; Oceanography; Ecology","score_opus":0.09237349554010335,"score_gpt":0.3189430758386184,"score_spread":0.22656958029851507,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2899478260","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99419624,0.00022574591,0.000001934265,0.0020807404,0.00010248349,0.00026291265,0.0003608236,0.000016448274,0.0027527006],"genre_scores_gemma":[0.9974047,0.000119542565,0.000014893825,0.00016665092,0.00023498251,0.0000022320642,0.000429118,0.000008302019,0.0016196063],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99762356,0.00030230609,0.00025242774,0.0003261035,0.0006069059,0.00088868506],"domain_scores_gemma":[0.99910295,0.00018901612,0.000027023034,0.00035750898,0.00018591217,0.00013759967],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0017743303,0.00013697291,0.00017332862,0.00011564158,0.0009925687,0.00020852333,0.00042273456,0.00008448075,0.002791959],"category_scores_gemma":[0.000030674917,0.00006607256,0.000043967524,0.00028392105,0.0008716068,0.00018096351,0.00017318902,0.00028014873,0.00076288375],"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":[0.00012539439,0.00002997961,0.84791654,0.00009076129,0.00003858519,0.000012922871,0.12629779,0.000078836114,0.019833416,0.000002074404,0.0019840247,0.0035896471],"study_design_scores_gemma":[0.00055655284,0.00040949308,0.55173826,0.00008249158,0.000008076706,0.000028319606,0.0071524386,0.0031958844,0.06481222,0.000404765,0.37134123,0.00027024993],"about_ca_topic_score_codex":0.0085792765,"about_ca_topic_score_gemma":0.008974487,"teacher_disagreement_score":0.3693572,"about_ca_system_score_codex":0.000006389015,"about_ca_system_score_gemma":0.0000072873745,"threshold_uncertainty_score":0.99811965},"labels":[],"label_agreement":null},{"id":"W2899636387","doi":"10.1029/2018wr022668","title":"Revisiting the Basis of Sensitivity Analysis for Dynamical Earth System Models","year":2018,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":93,"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 Saskatchewan","funders":"Australian Research Council; Government of Canada","keywords":"Identifiability; Sensitivity (control systems); Metric (unit); Basis (linear algebra); Fisher information; Computer science; Mathematics; Applied mathematics; Mathematical optimization; Econometrics; Statistics; Engineering","score_opus":0.04661587870152989,"score_gpt":0.3015668886375201,"score_spread":0.25495100993599024,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2899636387","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97940975,0.000011362939,0.0067044706,0.0017029032,0.000016113461,0.00032798998,0.0000085096,0.00002278468,0.011796121],"genre_scores_gemma":[0.9982377,0.0000038230455,0.00024474523,0.000035762132,0.00010552836,0.000036083118,0.000004861817,0.000008077387,0.0013234143],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9979115,0.0005969499,0.0001956735,0.0003252277,0.00046880843,0.00050180155],"domain_scores_gemma":[0.9992414,0.0002655397,0.000032654785,0.00036689034,0.00004804991,0.000045454228],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0042964485,0.00008942022,0.00021370435,0.00012534401,0.00071782415,0.000032878805,0.00026173168,0.000050399467,0.0001249442],"category_scores_gemma":[0.00004599124,0.00004712012,0.00011973424,0.00044290526,0.0010281907,0.00008268794,0.0007571149,0.00013521302,0.0001372739],"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":[0.0020031286,0.00029723343,0.5963967,0.0011117354,0.0062627634,0.00010275716,0.08390291,0.22050303,0.052931454,0.005130154,0.0026796616,0.028678456],"study_design_scores_gemma":[0.00036336255,0.00019749529,0.03166469,0.000038250502,0.00028819442,0.000003356559,0.002308141,0.93052256,0.020009523,0.0008450297,0.013541478,0.0002179142],"about_ca_topic_score_codex":0.0007641715,"about_ca_topic_score_gemma":0.00022671136,"teacher_disagreement_score":0.7100195,"about_ca_system_score_codex":0.000046474383,"about_ca_system_score_gemma":0.0000011928228,"threshold_uncertainty_score":0.5520995},"labels":[],"label_agreement":null},{"id":"W2899854810","doi":"10.1029/2018wr023067","title":"Simulating Flood‐Induced Riverbed Transience Using Unmanned Aerial Vehicles, Physically Based Hydrological Modeling, and the Ensemble Kalman Filter","year":2018,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":47,"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":"Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; China Scholarship Council; Deutsche Forschungsgemeinschaft","keywords":"Ensemble Kalman filter; Flood myth; Hydrology (agriculture); Floodplain; Aquifer; Hydraulic conductivity; Environmental science; Data assimilation; Geology; Kalman filter; Soil science; Groundwater; Extended Kalman filter; Geotechnical engineering; Meteorology; Geography; Cartography","score_opus":0.06524704565533251,"score_gpt":0.3075979517751682,"score_spread":0.24235090611983567,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2899854810","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9940616,0.000011111162,0.00079112634,0.001907231,0.000040794126,0.00044084902,0.0000010813252,0.00004333346,0.0027028779],"genre_scores_gemma":[0.99876577,0.0000036605238,0.00032957774,0.00043576604,0.00020078634,0.00002694925,0.0000024443536,0.000016980182,0.0002180546],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9968911,0.00078333524,0.0002412965,0.00058722653,0.00063166773,0.0008653714],"domain_scores_gemma":[0.9993094,0.00018684969,0.000028081331,0.00034263983,0.000030048794,0.000102948645],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.00196727,0.00019019564,0.00024234276,0.00007031565,0.001500782,0.0001055603,0.00049085525,0.00010772579,0.00025434466],"category_scores_gemma":[0.00007206675,0.00010269662,0.00006542217,0.0002005093,0.0022345188,0.00015192077,0.0008342522,0.00037811932,0.00019884986],"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":[0.006256418,0.00043388666,0.013348558,0.000069762034,0.00021919557,0.00011321174,0.060554,0.32256123,0.591442,0.00016799942,0.00044916544,0.0043846155],"study_design_scores_gemma":[0.0018794425,0.00032966732,0.0006126546,0.0000146905195,0.000023262928,0.0000020015493,0.00016299121,0.9797925,0.013509642,0.002066899,0.0014235214,0.00018276146],"about_ca_topic_score_codex":0.00092903734,"about_ca_topic_score_gemma":0.00009913709,"teacher_disagreement_score":0.6572312,"about_ca_system_score_codex":0.000046620433,"about_ca_system_score_gemma":0.000003905064,"threshold_uncertainty_score":0.99979913},"labels":[],"label_agreement":null},{"id":"W2900850793","doi":"10.1029/2018wr024042","title":"New Semi‐Analytical Insights Into Stress‐Dependent Spontaneous Imbibition and Oil Recovery in Naturally Fractured Carbonate Reservoirs","year":2018,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydraulic Fracturing and Reservoir Analysis","field":"Engineering","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Geomechanica (Canada); University of Alberta","funders":"CMG Reservoir Simulation Foundation","keywords":"Imbibition; Poromechanics; Capillary pressure; Wetting; Relative permeability; Saturation (graph theory); Permeability (electromagnetism); Geotechnical engineering; Capillary action; Porous medium; Carbonate; Geology; Effective stress; Pore water pressure; Porosity; Enhanced oil recovery; Petroleum engineering; Materials science; Composite material; Chemistry","score_opus":0.011549664411089355,"score_gpt":0.25945954047944475,"score_spread":0.2479098760683554,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2900850793","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9859808,0.0021898274,0.000058649137,0.0008193069,0.00012281696,0.000113526396,0.000003815559,0.00013665592,0.010574603],"genre_scores_gemma":[0.9919868,0.00064077915,0.00013106875,0.000036135018,0.0005337874,0.000015102529,0.00003691359,0.00006144503,0.0065579354],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9966545,0.00031843598,0.0004338869,0.0005845925,0.0010921495,0.00091645424],"domain_scores_gemma":[0.99866986,0.00019276679,0.000021796423,0.00056005165,0.00015710779,0.0003984407],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007812074,0.00028906728,0.00038728595,0.0010640423,0.0002482978,0.00030363895,0.0004892141,0.0003510465,0.0002796582],"category_scores_gemma":[0.00013563529,0.00020453644,0.00009335754,0.0005577584,0.00022334959,0.00021704045,0.00033799896,0.0012603531,0.00013831825],"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":[0.0033036214,0.00042831633,0.003684898,0.0023326275,0.0019374616,0.015200088,0.13628437,0.66521823,0.07969934,0.000044312634,0.012870208,0.07899654],"study_design_scores_gemma":[0.003838573,0.0010433046,0.006811905,0.0014151148,0.00014714788,0.00038263103,0.0026053123,0.5186947,0.17821823,0.006230806,0.2782925,0.0023197988],"about_ca_topic_score_codex":0.0054783835,"about_ca_topic_score_gemma":0.01036827,"teacher_disagreement_score":0.26542228,"about_ca_system_score_codex":0.00030363837,"about_ca_system_score_gemma":0.00003331416,"threshold_uncertainty_score":0.8340754},"labels":[],"label_agreement":null},{"id":"W2901126407","doi":"10.1029/2018wr023199","title":"Thermal Attenuation and Lag Time in Fractured Rock: Theory and Field Measurements From Joint Heat and Solute Tracer Tests","year":2018,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Groundwater flow and contamination studies","field":"Environmental Science","cited_by":44,"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":"Agence Nationale de la Recherche","keywords":"Attenuation; Fracture (geology); Geothermal gradient; Thermal; Mechanics; Geology; Thermal diffusivity; Advection; Heat transfer; TRACER; Aquifer; Matrix (chemical analysis); Materials science; Mineralogy; Geotechnical engineering; Geophysics; Groundwater; Optics; Thermodynamics; Composite material; Physics","score_opus":0.04619268044188551,"score_gpt":0.29229656618027133,"score_spread":0.24610388573838582,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2901126407","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.997339,0.00023858958,0.00008877707,0.0011705756,0.000013062828,0.00018338226,0.0000021720723,0.0000098688,0.00095453876],"genre_scores_gemma":[0.9969836,0.000014339927,0.000033676355,0.0001610511,0.000051656785,0.000018901517,0.000003327049,0.000008193262,0.0027252673],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99853975,0.00032835556,0.00012720269,0.00030116047,0.00041293635,0.00029058184],"domain_scores_gemma":[0.9996522,0.00012795594,0.000010703094,0.00012133591,0.00002175586,0.00006603134],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012525027,0.00009454248,0.00011358074,0.00006743367,0.0002654364,0.00010780536,0.0000796978,0.000060788858,0.0006511823],"category_scores_gemma":[0.00005394802,0.000061814266,0.0000097185075,0.00006139007,0.00022364766,0.00016123017,0.00037336795,0.00014691855,0.00015170156],"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":[0.00026318617,0.000057994366,0.3120895,0.000011086727,0.000033025557,0.000008508138,0.04768528,0.00001020544,0.5742277,0.0000021405694,0.00057394395,0.06503746],"study_design_scores_gemma":[0.0007115764,0.00020629805,0.9101444,0.000030734507,0.0000073084398,0.000001830204,0.00047093103,0.0008578676,0.07523425,0.00050298806,0.01168393,0.00014789584],"about_ca_topic_score_codex":0.0012412667,"about_ca_topic_score_gemma":0.0006905758,"teacher_disagreement_score":0.5980549,"about_ca_system_score_codex":0.000036607245,"about_ca_system_score_gemma":0.0000016856429,"threshold_uncertainty_score":0.712999},"labels":[],"label_agreement":null},{"id":"W2901684412","doi":"10.1029/2018wr023396","title":"Decadal Delays in Groundwater Recovery from Nitrate Contamination Caused by Low O<sub>2</sub> Reduction Rates","year":2018,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Groundwater and Isotope Geochemistry","field":"Earth and Planetary Sciences","cited_by":22,"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 Calgary","funders":"Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada; Deutsche Forschungsgemeinschaft","keywords":"Nitrate; Denitrification; Aquifer; Groundwater; Environmental science; Environmental chemistry; Manure; Contamination; Fertilizer; Hydrology (agriculture); Environmental engineering; Chemistry; Nitrogen; Ecology; Geology","score_opus":0.02042544896685488,"score_gpt":0.25400464726020106,"score_spread":0.23357919829334617,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2901684412","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99658376,0.00019652254,0.00003661042,0.00028047076,0.00023773502,0.00030085072,0.00007114749,0.000045380693,0.002247537],"genre_scores_gemma":[0.9969016,0.00007489014,0.000026126532,0.000054564578,0.0005083576,0.000014080683,0.0012684336,0.000014427493,0.0011375482],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9967302,0.00050868583,0.0003903776,0.0006515877,0.0007366297,0.0009824835],"domain_scores_gemma":[0.9990922,0.00012354262,0.000043257205,0.0003376331,0.00021105088,0.00019230811],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0013412692,0.00022823049,0.00023419848,0.00028671874,0.0004025176,0.00048278464,0.0004191766,0.00022195457,0.0014370977],"category_scores_gemma":[0.000039027436,0.00016633121,0.00005755581,0.00035744417,0.00041958725,0.000587773,0.00006490671,0.00051932246,0.0015865377],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005342844,0.00008868808,0.094722316,0.000037558566,0.000043170763,0.000048235932,0.0045951796,0.000059895785,0.8798125,5.636958e-7,0.0032452908,0.016812326],"study_design_scores_gemma":[0.0006495835,0.00035161403,0.06356954,0.00005282151,0.0000063279713,0.000009823652,0.0007013557,0.0011662899,0.9264449,0.000937227,0.005826045,0.00028448817],"about_ca_topic_score_codex":0.013273688,"about_ca_topic_score_gemma":0.0056920503,"teacher_disagreement_score":0.046632394,"about_ca_system_score_codex":0.00005053089,"about_ca_system_score_gemma":0.0000327177,"threshold_uncertainty_score":0.9994757},"labels":[],"label_agreement":null},{"id":"W2902269458","doi":"10.1029/2018wr024381","title":"Simulating Climate Change Impacts on Surface Water Resources Within a Lake‐Affected Region Using Regional Climate Projections","year":2018,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":87,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Agriculture and Agri-Food Canada; University of Toronto; University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs; Ontario Ministry of Agriculture, Food and Rural Affairs; Compute Canada; University of Toronto; Ontario Centres of Excellence","keywords":"Baseflow; Streamflow; Weather Research and Forecasting Model; Environmental science; Climate change; Climate model; Climatology; Precipitation; Forcing (mathematics); Water cycle; Groundwater recharge; Hydrological modelling; Hydrometeorology; Water resources; Downscaling; Watershed; Hydrology (agriculture); Groundwater; Meteorology; Geography; Geology; Drainage basin; Aquifer","score_opus":0.1164647229087697,"score_gpt":0.3490470503720032,"score_spread":0.23258232746323348,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2902269458","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98963517,0.000017322414,0.000009085724,0.0020525118,0.00014811172,0.0009622451,0.000007997032,0.00018423081,0.0069833323],"genre_scores_gemma":[0.99786985,0.000049013972,0.0001542468,0.00041022585,0.00044236574,0.00006430867,0.000025798494,0.0000610721,0.0009231428],"study_design_codex":"qualitative","study_design_gemma":"not_applicable","domain_scores_codex":[0.9946546,0.0009516385,0.0004065817,0.0009141014,0.0010202716,0.0020528198],"domain_scores_gemma":[0.99894303,0.0001197593,0.00008282553,0.00058693474,0.00006703003,0.00020039732],"candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0027549902,0.00035155105,0.00031786118,0.00031078953,0.0029705279,0.000201113,0.00049792463,0.0001979553,0.00052912236],"category_scores_gemma":[0.00006305025,0.00021196564,0.000098204604,0.0004940551,0.0014343007,0.00041178457,0.0017291579,0.00061739585,0.0019445025],"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":[0.00634899,0.0012834594,0.36285576,0.0006355402,0.00049728,0.00075138576,0.45541722,0.054295253,0.11014383,0.00007811503,0.005536152,0.002157012],"study_design_scores_gemma":[0.0077564265,0.0094477935,0.13235277,0.0020808782,0.00032678075,0.0002732248,0.011405031,0.23462321,0.14136921,0.0022632608,0.45352533,0.004576075],"about_ca_topic_score_codex":0.0011710752,"about_ca_topic_score_gemma":0.0013088413,"teacher_disagreement_score":0.4479892,"about_ca_system_score_codex":0.00020539259,"about_ca_system_score_gemma":0.0000028222069,"threshold_uncertainty_score":0.9988326},"labels":[],"label_agreement":null},{"id":"W2904413911","doi":"10.1029/2018wr023894","title":"Velocities, Residence Times, Tracer Breakthroughs in a Vegetated Lysimeter: A Multitracer Experiment","year":2018,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","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":"Global Institute for Water Security; University of Saskatchewan","funders":"Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung","keywords":"Lysimeter; TRACER; Evapotranspiration; Environmental science; Hydrology (agriculture); Macropore; Soil science; Throughfall; Groundwater recharge; Soil water; Water flow; Geology; Groundwater; Aquifer; Chemistry; Ecology","score_opus":0.03798196692665489,"score_gpt":0.32110107658978737,"score_spread":0.2831191096631325,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2904413911","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95048183,0.00018219708,0.00001695655,0.0019875308,0.00006555856,0.0004674454,0.000001861269,0.00006194609,0.046734657],"genre_scores_gemma":[0.9789252,0.000049453534,0.000361924,0.00023588579,0.00009439069,0.00016616938,0.000005903008,0.000026425334,0.02013463],"study_design_codex":"qualitative","study_design_gemma":"not_applicable","domain_scores_codex":[0.9964806,0.0005302573,0.00032677277,0.0006956465,0.00080925965,0.0011574525],"domain_scores_gemma":[0.99925756,0.0000924727,0.00002821417,0.0004764788,0.000029068022,0.00011621625],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001731378,0.00021441688,0.00024302835,0.00024373125,0.0005283112,0.00008258491,0.00057981897,0.00012482941,0.0064024245],"category_scores_gemma":[0.000048048227,0.00015086298,0.000052988016,0.00046313638,0.001794144,0.00027607067,0.001185841,0.00040745278,0.006242374],"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":[0.0025603762,0.0015875124,0.20731354,0.00015865348,0.00040458908,0.0011931581,0.44510314,0.0015071856,0.2299229,0.00017216185,0.094443105,0.01563367],"study_design_scores_gemma":[0.0024521877,0.0010168481,0.063793816,0.00013509225,0.00002360947,0.00001781444,0.003489593,0.003309852,0.26977274,0.0026920908,0.65242076,0.00087561546],"about_ca_topic_score_codex":0.003959106,"about_ca_topic_score_gemma":0.0011311019,"teacher_disagreement_score":0.5579776,"about_ca_system_score_codex":0.0002481665,"about_ca_system_score_gemma":0.000005305081,"threshold_uncertainty_score":0.9945314},"labels":[],"label_agreement":null},{"id":"W2904704336","doi":"10.1029/2018wr022969","title":"Simulation of Capillary Pressure Overshoot in Snow Combining Trapping of the Wetting Phase With a Nonequilibrium Richards Equation Model","year":2018,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":24,"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 Saskatchewan","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Excellence Research Chairs, Government of Canada; Global Institute for Water Security, University of Saskatchewan","keywords":"Richards equation; Snowpack; Capillary pressure; Capillary action; Overshoot (microwave communication); Wetting; Mechanics; Snow; Infiltration (HVAC); Water flow; Surface runoff; Flow (mathematics); Materials science; Porous medium; Geotechnical engineering; Environmental science; Porosity; Soil science; Geology; Physics; Soil water; Geomorphology; Composite material; Engineering","score_opus":0.09424516826953414,"score_gpt":0.3198982276925498,"score_spread":0.22565305942301564,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2904704336","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9974571,0.0001905228,0.00063649414,0.00021746088,0.000025455376,0.00026884384,0.000016729133,0.0000070425467,0.0011803855],"genre_scores_gemma":[0.9995237,0.0000064169685,0.00018182503,0.000013136552,0.000049748705,0.0000022805432,0.000014498625,0.0000041323306,0.00020423376],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998511,0.00016421457,0.0002468639,0.00017437321,0.00060784776,0.00029567984],"domain_scores_gemma":[0.99915826,0.00032070407,0.00007054704,0.00019633451,0.00022180544,0.00003233423],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009261941,0.00007449303,0.00014409235,0.00007994867,0.00023237019,0.000026139594,0.0002128743,0.00004176216,0.00013347178],"category_scores_gemma":[0.00013744326,0.000041931133,0.000030598858,0.0004912573,0.00025962436,0.00011018235,0.000054971868,0.00015945492,0.0000026502364],"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":[0.00018114991,0.000032185606,0.1492299,0.00005124134,0.000022822944,6.3207364e-7,0.016009914,0.8311976,0.0015962701,0.000006405878,0.000021209053,0.0016506696],"study_design_scores_gemma":[0.0005616977,0.0002275375,0.042695556,0.00009825141,0.000008132689,2.6856588e-7,0.0012897557,0.9515192,0.0025970752,0.00007855832,0.00086675753,0.00005723717],"about_ca_topic_score_codex":0.0023157785,"about_ca_topic_score_gemma":0.0013968111,"teacher_disagreement_score":0.12032158,"about_ca_system_score_codex":0.0000055036285,"about_ca_system_score_gemma":0.000029694298,"threshold_uncertainty_score":0.35007796},"labels":[],"label_agreement":null},{"id":"W2905202979","doi":"10.1029/2018wr023934","title":"Interactions Between Regional Climate, Surficial Geology, and Topography: Characterizing Shallow Groundwater Systems in Subhumid, Low‐Relief Landscapes","year":2018,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":47,"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; Syncrude; Canadian Natural Resources Limited","keywords":"Groundwater recharge; Outwash plain; Water table; Geology; Groundwater; Hydrology (agriculture); Glacial period; Climate change; Boreal; Groundwater flow; Water balance; Environmental science; Aquifer; Geomorphology; Oceanography","score_opus":0.03808846800062115,"score_gpt":0.2995001765114156,"score_spread":0.2614117085107944,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2905202979","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9920364,0.00006076121,0.0000058859755,0.0024772873,0.00012475484,0.0003108901,0.000004045781,0.000041843366,0.004938143],"genre_scores_gemma":[0.99835825,0.000120035904,0.00001882299,0.00013502946,0.00033986507,0.00007400453,0.000034327913,0.000017291892,0.0009023903],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99742234,0.00041997858,0.00030032897,0.0005363259,0.00037384906,0.00094720285],"domain_scores_gemma":[0.9994814,0.00012829859,0.00003422666,0.0002323522,0.000024616957,0.0000991237],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015171826,0.00017628723,0.0002567625,0.00036463278,0.0006971548,0.00012923262,0.0003221305,0.0001153531,0.00052350527],"category_scores_gemma":[0.000014079819,0.0001237887,0.000043190154,0.0002471868,0.0010573535,0.000292363,0.0010675308,0.00041861626,0.000688616],"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":[0.00018490861,0.00008093069,0.9898648,0.00004206804,0.00004807959,0.000034711305,0.0059316684,0.000028079157,0.0026120406,0.000032200925,0.00071487634,0.00042559026],"study_design_scores_gemma":[0.0005048779,0.0003250436,0.80027735,0.000058956422,0.0000116549745,0.000014073022,0.0008320299,0.0005370376,0.0005400895,0.00028332084,0.19635545,0.00026009182],"about_ca_topic_score_codex":0.003537211,"about_ca_topic_score_gemma":0.0034339644,"teacher_disagreement_score":0.19564058,"about_ca_system_score_codex":0.000067189685,"about_ca_system_score_gemma":0.0000018299146,"threshold_uncertainty_score":0.88509953},"labels":[],"label_agreement":null},{"id":"W2905216752","doi":"10.1029/2018wr023205","title":"A Stochastic Data‐Driven Ensemble Forecasting Framework for Water Resources: A Case Study Using Ensemble Members Derived From a Database of Deterministic Wavelet‐Based Models","year":2018,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrological Forecasting Using AI","field":"Environmental Science","cited_by":74,"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 Sherbrooke; McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Weighting; Ensemble forecasting; Probabilistic forecasting; Computer science; Probabilistic logic; Ensemble learning; Wavelet; Data mining; Artificial intelligence; Machine learning","score_opus":0.2673468259155963,"score_gpt":0.3827477327181475,"score_spread":0.11540090680255122,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2905216752","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92226183,0.000013198432,0.0753155,0.00006437116,0.00008411692,0.0017780018,0.0002462519,0.00008787996,0.00014887261],"genre_scores_gemma":[0.9398408,3.2583213e-7,0.05937265,0.00007260338,0.00026767876,0.00012856656,0.00013227799,0.00011834616,0.00006675899],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9926599,0.0010169043,0.00088803406,0.001780579,0.0015628149,0.002091752],"domain_scores_gemma":[0.995222,0.0016971572,0.00017197075,0.002254222,0.00017321287,0.0004814569],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0037793368,0.0004854151,0.0006764598,0.00030813066,0.0013769823,0.00027174636,0.0017546403,0.00027107375,0.00073876476],"category_scores_gemma":[0.0011534683,0.00032602443,0.00012500018,0.00047666658,0.0015463588,0.000403418,0.0036626887,0.00074218656,0.000113066104],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.003685333,0.002110262,0.0016878492,0.00034559044,0.00037480102,0.0051606945,0.16402365,0.37919077,0.4363713,0.000004981541,0.00018013755,0.0068646],"study_design_scores_gemma":[0.0012225636,0.0013063606,0.00001185122,0.0002807121,0.00012620549,0.00020464299,0.0021255047,0.9721672,0.020080673,0.0017412965,0.00027269148,0.0004603334],"about_ca_topic_score_codex":0.014002311,"about_ca_topic_score_gemma":0.0020415443,"teacher_disagreement_score":0.5929764,"about_ca_system_score_codex":0.0002859745,"about_ca_system_score_gemma":0.00003464381,"threshold_uncertainty_score":0.9999231},"labels":[],"label_agreement":null},{"id":"W2909370264","doi":"10.1029/2018wr023505","title":"A Nonstationary Geostatistical Framework for Soil Moisture Prediction in the Presence of Surface Heterogeneity","year":2019,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Soil Moisture and Remote Sensing","field":"Environmental Science","cited_by":30,"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":"Texas A and M University; National Aeronautics and Space Administration","keywords":"Environmental science; Soil science; Water content; Spatial heterogeneity; Geostatistics; Soil texture; Vegetation (pathology); Spatial variability; Digital soil mapping; Moisture; Kriging; Hydrology (agriculture); Soil map; Soil water; Geology; Mathematics; Statistics; Meteorology; Geography","score_opus":0.030927909174917563,"score_gpt":0.31778543203468085,"score_spread":0.2868575228597633,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2909370264","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99275994,0.00004502182,0.00092055043,0.0007763873,0.00006016794,0.00066656625,0.000014921014,0.0000091732245,0.0047472855],"genre_scores_gemma":[0.9963669,0.0000072908306,0.0030395235,0.000061305036,0.000047509548,0.0000071502195,0.00001823223,0.000011034081,0.00044102955],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9978931,0.00040129977,0.00020031632,0.00030442383,0.0007990765,0.0004017714],"domain_scores_gemma":[0.9986059,0.00095531886,0.000025466214,0.00033481533,0.00003218314,0.00004631488],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014936127,0.000087686974,0.00012125068,0.000044606277,0.00013614025,0.000039944014,0.00033908465,0.00011189992,0.000097589334],"category_scores_gemma":[0.00017816949,0.000048669175,0.000044834982,0.00023840179,0.00034848336,0.000074407195,0.00018437354,0.00038559543,0.00014938368],"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":[0.0007509567,0.0003631549,0.8575021,0.00021053303,0.000034923785,0.000030908574,0.04017795,0.032440737,0.050551586,0.0004662071,0.0038739156,0.013597024],"study_design_scores_gemma":[0.0006289787,0.00044186309,0.92217845,0.00012282343,0.00000938305,0.000022346958,0.0026516719,0.020398574,0.019995736,0.013538423,0.019820374,0.00019139952],"about_ca_topic_score_codex":0.0016131421,"about_ca_topic_score_gemma":0.0007630572,"teacher_disagreement_score":0.06467633,"about_ca_system_score_codex":0.00005648556,"about_ca_system_score_gemma":0.0000072996486,"threshold_uncertainty_score":0.2438599},"labels":[],"label_agreement":null},{"id":"W2910693170","doi":"10.1029/2018wr023435","title":"Benchmarking NAPL Redirection and Matrix Entry at Fracture Intersections Below the Water Table","year":2019,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydraulic Fracturing and Reservoir Analysis","field":"Engineering","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 Waterloo; University of Guelph","funders":"Boeing","keywords":"Fracture (geology); Discretization; Benchmark (surveying); Intersection (aeronautics); Mechanics; Multiphase flow; Matrix (chemical analysis); Flow (mathematics); Flux (metallurgy); Geotechnical engineering; Petroleum engineering; Materials science; Geology; Engineering; Mathematics; Physics; Mathematical analysis","score_opus":0.00998830713891247,"score_gpt":0.25447945308934294,"score_spread":0.24449114595043048,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2910693170","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9905262,0.00050647376,0.00010047871,0.001287211,0.00023908568,0.00021770067,0.0000029347352,0.00014110684,0.006978836],"genre_scores_gemma":[0.9676445,0.00020324359,0.000017435508,0.000029932196,0.0003698077,0.000032997945,0.000030326039,0.000038656242,0.031633116],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.9981261,0.00016950096,0.00019387163,0.00030620507,0.0005056251,0.0006986792],"domain_scores_gemma":[0.9992871,0.000102278485,0.000010085311,0.00042554116,0.00006465953,0.00011027897],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009031302,0.00016203187,0.00018454788,0.00028825214,0.0005994831,0.0002370262,0.0002650844,0.00015502323,0.0014224732],"category_scores_gemma":[0.000013736608,0.000070880305,0.00007838479,0.00021649938,0.000101818754,0.00013132126,0.00031316775,0.00079860253,0.0005520412],"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":[0.00019591124,0.000070439004,0.016728071,0.0006939694,0.000863309,0.000054823115,0.050518025,0.71585184,0.16874978,0.0000022103445,0.04107681,0.0051947944],"study_design_scores_gemma":[0.00021575885,0.000048805756,0.00089306064,0.00005503387,0.00001983966,0.000031758565,0.00072969374,0.036669128,0.11111345,0.000039336086,0.85000986,0.00017424217],"about_ca_topic_score_codex":0.00080830004,"about_ca_topic_score_gemma":0.00023734788,"teacher_disagreement_score":0.8089331,"about_ca_system_score_codex":0.00015337847,"about_ca_system_score_gemma":0.0000033082836,"threshold_uncertainty_score":0.9994904},"labels":[],"label_agreement":null},{"id":"W2914338499","doi":"10.1029/2018wr023247","title":"Improving Permafrost Modeling by Assimilating Remotely Sensed Soil Moisture","year":2019,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":37,"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; University of Guelph","funders":"Bundesministerium für Bildung und Forschung; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada; ArcticNet","keywords":"Permafrost; Environmental science; Water content; Soil science; Soil water; Pedotransfer function; Soil morphology; Moisture; Soil thermal properties; Hydrology (agriculture); Soil organic matter; Field capacity; Geology; Hydraulic conductivity; Geotechnical engineering; Meteorology; Geography","score_opus":0.0610026616849913,"score_gpt":0.2852391770552316,"score_spread":0.2242365153702403,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2914338499","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.982768,0.0005769849,0.00001748961,0.00059832423,0.00016189241,0.00031996425,0.0012825624,0.00006198627,0.014212826],"genre_scores_gemma":[0.9908202,0.000056397916,0.000049023045,0.00021390486,0.00036158215,0.0000018061063,0.003459925,0.000021373893,0.005015787],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99648863,0.00031160782,0.00031302555,0.0006079675,0.0010459458,0.0012327958],"domain_scores_gemma":[0.99890965,0.00019788246,0.00003911299,0.00044852134,0.00014945153,0.00025537648],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0013519234,0.0002258005,0.00025876352,0.00021669382,0.0005989028,0.00048825718,0.00047963252,0.0001909334,0.009645567],"category_scores_gemma":[0.000051831255,0.00015378071,0.00008948236,0.00026803932,0.00010115867,0.0002775953,0.00012741076,0.00081850187,0.0024179206],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00045195755,0.00004159374,0.63657635,0.00037331253,0.000038904094,0.000105481675,0.021207117,0.021076556,0.2996067,0.0000014448993,0.0050673974,0.015453141],"study_design_scores_gemma":[0.00065595953,0.00021553203,0.007415415,0.00009332908,0.000008041621,0.000034542518,0.003894518,0.93914807,0.008016785,0.000084676496,0.039933946,0.0004992169],"about_ca_topic_score_codex":0.031256422,"about_ca_topic_score_gemma":0.007971395,"teacher_disagreement_score":0.9180715,"about_ca_system_score_codex":0.000019891288,"about_ca_system_score_gemma":0.000023020855,"threshold_uncertainty_score":0.9983588},"labels":[],"label_agreement":null},{"id":"W2916772745","doi":"10.1029/2018wr023903","title":"Hillslope Hydrology in Global Change Research and Earth System Modeling","year":2019,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":658,"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 Science Foundation","keywords":"Biogeochemical cycle; Environmental science; Hydrology (agriculture); Baseflow; Vegetation (pathology); Earth system science; Streamflow; Hydrological modelling; Climate change; Earth science; Geology; Climatology; Ecology; Oceanography; Geography; Drainage basin","score_opus":0.08140179547353937,"score_gpt":0.32469583685494935,"score_spread":0.24329404138140998,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2916772745","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94635165,0.00015882205,0.0000042171287,0.0018621468,0.00005336652,0.0007128582,0.0000022549916,0.00003550021,0.050819214],"genre_scores_gemma":[0.9967583,0.000071824776,0.000028424909,0.000075343654,0.00005734486,0.00012705705,0.000004102389,0.000013493731,0.002864114],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99628,0.00074463803,0.00021431658,0.0006701938,0.00079705985,0.0012938055],"domain_scores_gemma":[0.9993928,0.00007713123,0.000011563743,0.00037694754,0.000025442741,0.00011609335],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.004197125,0.00013704269,0.00022785112,0.00024877692,0.00038972247,0.00006642704,0.00045697362,0.00014197592,0.00038754934],"category_scores_gemma":[0.000020340418,0.00009642522,0.000022347775,0.00047694106,0.0006257772,0.00020059902,0.0024709937,0.00056261057,0.0037907357],"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":[0.0003920891,0.0001330543,0.9766347,0.00020005133,0.000040650728,0.00021090457,0.013766066,0.0036603583,0.0011974227,0.00065611314,0.00037366003,0.0027349342],"study_design_scores_gemma":[0.0055395397,0.0032238795,0.18148944,0.00042392826,0.000020079462,0.000109271605,0.0129629625,0.51811,0.0014268868,0.012768534,0.26246908,0.0014564429],"about_ca_topic_score_codex":0.0058572176,"about_ca_topic_score_gemma":0.000865019,"teacher_disagreement_score":0.7951453,"about_ca_system_score_codex":0.0001998686,"about_ca_system_score_gemma":0.0000024619928,"threshold_uncertainty_score":0.9969849},"labels":[],"label_agreement":null},{"id":"W2918470218","doi":"10.1029/2017wr022420","title":"Numerical Study of Alternate Bars in Alluvial Channels With Nonuniform Sediment","year":2019,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Sediment Transport Processes","field":"Environmental Science","cited_by":33,"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":"Électricité de France","keywords":"Beach morphodynamics; Sorting; Geology; Sediment; Sediment transport; Free surface; Geomorphology; Amplitude; Geotechnical engineering; Wavelength; Hydrology (agriculture); Bedform; Soil science; Mechanics; Materials science; Mathematics; Physics","score_opus":0.022219838169328446,"score_gpt":0.2839181659569797,"score_spread":0.2616983277876513,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2918470218","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99138284,0.000009538213,0.0000067656624,0.00018029804,0.000031705917,0.0006305531,8.1192076e-7,0.000012673412,0.0077447975],"genre_scores_gemma":[0.99853003,0.00000365207,0.0000200551,0.000033474073,0.000019314462,0.000048789407,0.0000038940766,0.000014306152,0.0013264683],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99766994,0.00015786984,0.0002371366,0.00039730011,0.0009588858,0.00057884573],"domain_scores_gemma":[0.99955106,0.0000418224,0.00002403093,0.00027265822,0.000014570436,0.000095835356],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00096811575,0.00012063663,0.00020840453,0.00013975672,0.00007580697,0.000018421013,0.00046282556,0.000059766197,0.0039247936],"category_scores_gemma":[0.0000033706328,0.000072885836,0.000020758607,0.00029166162,0.00019889705,0.00014726692,0.00017676446,0.00034692514,0.00078187464],"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":[0.000842787,0.0010782246,0.905352,0.000034753717,0.000033185526,0.0001152178,0.030696172,0.056890994,0.0044835177,0.0000029451803,0.000022728644,0.00044745533],"study_design_scores_gemma":[0.024885753,0.035072688,0.5448182,0.00030511894,0.000062401836,0.0000705743,0.0132358195,0.027792802,0.26993722,0.0009623299,0.08087623,0.0019808186],"about_ca_topic_score_codex":0.0025787693,"about_ca_topic_score_gemma":0.00019503219,"teacher_disagreement_score":0.36053377,"about_ca_system_score_codex":0.000057876947,"about_ca_system_score_gemma":0.0000059527288,"threshold_uncertainty_score":0.9999961},"labels":[],"label_agreement":null},{"id":"W2920829711","doi":"10.1029/2018wr023382","title":"Model Variable Augmentation (MVA) for Diagnostic Assessment of Sensitivity Analysis Results","year":2019,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Probabilistic and Robust Engineering Design","field":"Decision Sciences","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","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Sobol sequence; Bootstrapping (finance); Sensitivity (control systems); Variable (mathematics); Ranking (information retrieval); Reliability (semiconductor); Benchmark (surveying); Computer science; Variance (accounting); Sample (material); Statistics; Quality (philosophy); Econometrics; Variables; Mathematics; Machine learning; Engineering","score_opus":0.18933422743058698,"score_gpt":0.44498350169301665,"score_spread":0.25564927426242967,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2920829711","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.50644976,0.00001261957,0.4899177,0.00021554547,0.000054090327,0.0005923478,0.00011051128,0.000019242496,0.0026281802],"genre_scores_gemma":[0.9731779,0.0000036086053,0.020322282,0.000011071006,0.00003464188,0.000052086678,0.00004972008,0.000012394934,0.0063362806],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99551266,0.00061922084,0.00062409265,0.0006175109,0.002134393,0.0004921233],"domain_scores_gemma":[0.98886234,0.0091798,0.00009466243,0.0008413476,0.00090842316,0.000113403774],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.019158276,0.0001180593,0.00040128894,0.0008500424,0.00015145882,0.00018126056,0.00045834458,0.00008996869,0.00011787347],"category_scores_gemma":[0.0046292315,0.000072143586,0.00014867536,0.0013173961,0.00010984797,0.00015818517,0.00023318014,0.00019861766,0.00006242641],"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":[0.00012404987,0.00007869832,0.0038848454,0.000035307516,0.00011933671,0.0000020585865,0.0010213623,0.98075217,0.011511412,0.0012085054,0.0008509037,0.00041134038],"study_design_scores_gemma":[0.00056568545,0.00014556234,0.0046417955,0.000017554426,0.000054635613,5.5585133e-7,0.00021458008,0.9813849,0.0027230487,0.008316772,0.0018303576,0.00010457758],"about_ca_topic_score_codex":0.00011469141,"about_ca_topic_score_gemma":0.000017954606,"teacher_disagreement_score":0.4695954,"about_ca_system_score_codex":0.00009696934,"about_ca_system_score_gemma":0.00007459829,"threshold_uncertainty_score":0.66399145},"labels":[],"label_agreement":null},{"id":"W2922326326","doi":"10.1029/2018wr023088","title":"Winter Precipitation and Summer Temperature Predict Lake Water Quality at Macroscales","year":2019,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":57,"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 Montréal","funders":"National Institute of Food and Agriculture; National Science Foundation","keywords":"Environmental science; Precipitation; Climate change; Temperate climate; Ecosystem; Water quality; Biomass (ecology); Nutrient; Productivity; Lake ecosystem; Climatology; Ecology; Geography; Meteorology; Biology; Geology","score_opus":0.02848021179046224,"score_gpt":0.3106626859962105,"score_spread":0.28218247420574827,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2922326326","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97421277,0.000017468059,5.733385e-7,0.002497288,0.00008888556,0.00044624033,0.000009695849,0.000030389981,0.022696687],"genre_scores_gemma":[0.9018553,0.000027422813,0.000017550177,0.00026836625,0.00004173073,0.00005222374,0.000037784317,0.000011985469,0.09768765],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9979854,0.00034261725,0.00016807429,0.0004497151,0.0004685352,0.0005856186],"domain_scores_gemma":[0.9995554,0.00007851685,0.000013536555,0.00026090938,0.000020460227,0.00007118968],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0013392842,0.000121696714,0.0001451401,0.00006189481,0.00042258576,0.000076807,0.0002176628,0.00010358491,0.008799426],"category_scores_gemma":[0.000028521015,0.00006724045,0.000031407777,0.00006453892,0.0005175279,0.00018519843,0.001617269,0.0002561295,0.004361663],"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":[0.00013997774,0.000038656923,0.9202692,0.00005251672,0.000030000496,0.0000044586036,0.008010932,0.000026395648,0.030317813,0.000004318035,0.041001182,0.00010457155],"study_design_scores_gemma":[0.00033372064,0.00011194596,0.68673754,0.000009342399,0.000004329042,0.0000012069704,0.00043846093,0.000015227184,0.014826218,0.0001796914,0.29722783,0.00011452882],"about_ca_topic_score_codex":0.00007089419,"about_ca_topic_score_gemma":0.004402191,"teacher_disagreement_score":0.25622663,"about_ca_system_score_codex":0.000069861424,"about_ca_system_score_gemma":7.145896e-7,"threshold_uncertainty_score":0.9964135},"labels":[],"label_agreement":null},{"id":"W2924133509","doi":"10.1029/2018wr023897","title":"Seasonal and Interannual Patterns and Controls of Hydrological Fluxes in an Amazon Floodplain Lake With a Surface‐Subsurface Process Model","year":2019,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","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":"Simon Fraser University","funders":"Biological and Environmental Research; Agência Nacional de Águas; National Aeronautics and Space Administration; U.S. Department of Energy","keywords":"Floodplain; Hydrology (agriculture); Environmental science; Drainage basin; Precipitation; Amazon rainforest; Surface water; Water level; Water cycle; Stage (stratigraphy); Geology; Ecology; Geography; Meteorology","score_opus":0.019515698336237182,"score_gpt":0.28092261966208937,"score_spread":0.2614069213258522,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2924133509","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99803036,0.000029874143,0.000016859403,0.00057745515,0.000005888404,0.0004673514,0.000014083165,0.000014019412,0.0008441278],"genre_scores_gemma":[0.9992451,0.000019292025,0.000060521223,0.00006344775,0.000006622161,0.000023669349,0.000007929743,0.00001119049,0.0005621904],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9981135,0.00027680834,0.00016857659,0.00048119965,0.0004418219,0.0005180668],"domain_scores_gemma":[0.9996205,0.00007310333,0.00002367634,0.00017199616,0.000017266813,0.00009345724],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010536822,0.00014625321,0.0002599722,0.00007107461,0.0001090355,0.000042621043,0.00022806154,0.000082726336,0.0002487814],"category_scores_gemma":[0.000009899582,0.0000865635,0.0000137834695,0.00009924935,0.000618814,0.00023396815,0.0005071078,0.00029676274,0.000027332791],"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":[0.0006977,0.000106695436,0.94860584,0.00006416128,0.000021955808,0.000019367439,0.010993927,0.035036694,0.0042607198,0.000005453256,0.000012786475,0.00017467585],"study_design_scores_gemma":[0.0045744213,0.0030981174,0.6145134,0.00012800393,0.000023786633,0.00001634312,0.003260524,0.3659494,0.0058200606,0.0011314785,0.0009641902,0.0005202527],"about_ca_topic_score_codex":0.00021185083,"about_ca_topic_score_gemma":0.0020447606,"teacher_disagreement_score":0.33409244,"about_ca_system_score_codex":0.000016566626,"about_ca_system_score_gemma":0.0000024998706,"threshold_uncertainty_score":0.3529957},"labels":[],"label_agreement":null},{"id":"W2924724569","doi":"10.1029/2018wr024487","title":"Can Improved Flow Partitioning in Hydrologic Models Increase Biogeochemical Predictability?","year":2019,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":19,"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; University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; Vetenskapsrådet; Fundação para a Ciência e a Tecnologia; Canada Excellence Research Chairs, Government of Canada; Svenska Forskningsrådet Formas; Canada Research Chairs; University of Waterloo; Joint Programming Initiative Water challenges for a changing world","keywords":"Predictability; Streamflow; Watershed; Calibration; Environmental science; Tile drainage; Biogeochemical cycle; Tile; Hydrology (agriculture); Flow (mathematics); Hydrological modelling; Computer science; Soil science; Statistics; Drainage basin; Mathematics; Geology; Machine learning; Soil water; Climatology; Geography; Geotechnical engineering","score_opus":0.023757898924879933,"score_gpt":0.25989526837905297,"score_spread":0.23613736945417305,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2924724569","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9820049,0.000021623151,0.000006865008,0.0022950985,0.000026782904,0.00049917214,0.000007797607,0.000045920242,0.015091849],"genre_scores_gemma":[0.99831843,0.000013693038,0.000099164674,0.00016992731,0.000026166297,0.00012799875,0.00003208792,0.000011607286,0.0012009293],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99750715,0.00037601087,0.00022826443,0.000569288,0.0004280509,0.000891257],"domain_scores_gemma":[0.99938506,0.000087506516,0.000016334245,0.0003854292,0.0000110790925,0.00011461408],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0017891431,0.00013835971,0.00018831891,0.00013475856,0.00020391397,0.00004024766,0.00039781403,0.0001194075,0.0019476573],"category_scores_gemma":[0.000051050734,0.000095199124,0.000044132667,0.00024461566,0.000536916,0.00018009607,0.0012704667,0.00043862182,0.0009847775],"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":[0.00024857093,0.0001754638,0.943694,0.000036001173,0.00002338643,0.00003216023,0.0062580924,0.02560468,0.023086384,0.000020157577,0.0005596353,0.00026148994],"study_design_scores_gemma":[0.002994672,0.00084804074,0.050362017,0.000059781214,0.000021551148,0.000009818873,0.0010309814,0.824228,0.031438567,0.061966762,0.026234556,0.00080529123],"about_ca_topic_score_codex":0.003956891,"about_ca_topic_score_gemma":0.0006374537,"teacher_disagreement_score":0.89333194,"about_ca_system_score_codex":0.00015701754,"about_ca_system_score_gemma":0.0000033367185,"threshold_uncertainty_score":0.99979305},"labels":[],"label_agreement":null},{"id":"W2928811959","doi":"10.1029/2018wr024319","title":"Groundwater Flow Quantification in Fractured Rock Boreholes Using Active Distributed Temperature Sensing Under Natural Gradient Conditions","year":2019,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Groundwater flow and contamination studies","field":"Environmental Science","cited_by":73,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval; Geological Survey of Canada; University of Guelph","funders":"Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada","keywords":"Borehole; Groundwater flow; Groundwater; Geology; Soil science; Thermal conductivity; Temperature gradient; Groundwater model; Hydraulic conductivity; Geotechnical engineering; Flow (mathematics); Hydrology (agriculture); Aquifer; Mechanics; Materials science; Meteorology; Soil water","score_opus":0.031607190851771036,"score_gpt":0.30277861479499973,"score_spread":0.2711714239432287,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2928811959","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99733645,0.000040558585,0.00064220635,0.0010437618,0.00014609349,0.0005005697,0.000026680662,0.000035035137,0.00022862076],"genre_scores_gemma":[0.99694675,0.0000036562242,0.00008095339,0.00007910046,0.000048639664,0.000018023122,0.000340364,0.000022769036,0.0024597582],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99733776,0.0003743975,0.00026887975,0.0005533541,0.0007790266,0.0006866079],"domain_scores_gemma":[0.9993844,0.00008394545,0.000038633054,0.00033499737,0.00007638146,0.00008161344],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004841827,0.00019874517,0.00021367606,0.00021411254,0.00052906387,0.0002332397,0.0002456445,0.0001212208,0.0003636321],"category_scores_gemma":[0.000018146598,0.00013589617,0.00006442293,0.00053698634,0.00019661257,0.0004183143,0.00033261592,0.00058790727,0.0006450638],"study_design_candidate":"bench_or_experimental","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":[0.0002336606,0.00021647823,0.028289184,0.00004045847,0.00008339157,0.000046600875,0.03660893,0.040788665,0.8889243,0.00004508192,0.00062267284,0.0041005597],"study_design_scores_gemma":[0.0017715135,0.0001727987,0.61695915,0.00015329568,0.000026656198,0.000042484982,0.016852172,0.07456345,0.23596303,0.0011969369,0.051419497,0.00087902526],"about_ca_topic_score_codex":0.0019981945,"about_ca_topic_score_gemma":0.0012069945,"teacher_disagreement_score":0.65296125,"about_ca_system_score_codex":0.0005552234,"about_ca_system_score_gemma":0.000008825593,"threshold_uncertainty_score":0.8291206},"labels":[],"label_agreement":null},{"id":"W2932511276","doi":"10.1029/2018wr023229","title":"Snow Drought Risk and Susceptibility in the Western United States and Southwestern Canada","year":2019,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":108,"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 Saskatchewan; Simon Fraser University","funders":"Simon Fraser University; Pacific Institute for Climate Solutions","keywords":"Snow; Snowpack; Environmental science; Climate change; Climatology; Physical geography; Water equivalent; Hydrology (agriculture); Geography; Meteorology; Ecology; Geology","score_opus":0.030396329755188592,"score_gpt":0.25631961278358534,"score_spread":0.22592328302839676,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2932511276","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99737525,0.00045997757,7.7106813e-7,0.0015131695,0.000031106767,0.00026142513,0.0000766961,0.000005971445,0.00027561077],"genre_scores_gemma":[0.9983471,0.00035929395,0.000009722987,0.00023481192,0.000031380398,0.0000023418736,0.00008704068,0.0000027793985,0.00092550885],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99836826,0.00038577794,0.00014301093,0.0002594188,0.0004262155,0.00041730882],"domain_scores_gemma":[0.998975,0.0006667995,0.000017309723,0.00022259042,0.00004821444,0.000070096976],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011697855,0.0000889613,0.00011672485,0.0000493417,0.0003046019,0.00016443171,0.00020731981,0.000030944128,0.00023915028],"category_scores_gemma":[0.000043486947,0.00004566097,0.000010650125,0.00028617552,0.00017262904,0.00006817613,0.000071539034,0.00029406633,0.000029470255],"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":[0.000024724688,0.000004980072,0.9854254,0.0000179213,0.0000063226885,0.0000073137826,0.011881956,0.00032023792,0.0000023425255,6.1804195e-7,0.0002266347,0.0020815441],"study_design_scores_gemma":[0.00018304415,0.00006937645,0.8689852,0.000009360288,0.0000021600363,0.0000022449171,0.009591848,0.0019383364,0.000005152365,0.00007884304,0.119069174,0.00006529065],"about_ca_topic_score_codex":0.94198084,"about_ca_topic_score_gemma":0.9825234,"teacher_disagreement_score":0.11884254,"about_ca_system_score_codex":0.000008149206,"about_ca_system_score_gemma":0.00002002286,"threshold_uncertainty_score":0.2618528},"labels":[],"label_agreement":null},{"id":"W2935296577","doi":"10.1029/2018wr023265","title":"Characterizing the Fluxes and Age Distribution of Soil Water, Plant Water, and Deep Percolation in a Model Tropical Ecosystem","year":2019,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":130,"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 Sciences and Engineering Research Council of Canada; Global Institute for Water Security, University of Saskatchewan","keywords":"Groundwater recharge; Transpiration; Environmental science; Soil water; Hydrology (agriculture); Groundwater; Biome; Water potential; Ecosystem; Evapotranspiration; Soil science; Ecology; Aquifer; Geology; Chemistry; Biology","score_opus":0.017011270263189604,"score_gpt":0.2338451815192799,"score_spread":0.2168339112560903,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2935296577","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9989873,0.000020081196,0.00005818426,0.00027471257,0.000015014639,0.00032805646,0.00003780274,0.000009031046,0.00026981515],"genre_scores_gemma":[0.99926424,0.00005398572,0.000015896205,0.000008014655,0.000011418266,0.000022735727,0.00022558759,0.000009116422,0.00038898538],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998481,0.00021013955,0.00023289875,0.00026758286,0.00038532322,0.00042305197],"domain_scores_gemma":[0.99969405,0.000036714515,0.000015975094,0.00018374863,0.000009207988,0.000060275586],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007494034,0.0001016208,0.00015573026,0.00006856716,0.00015051472,0.00009714784,0.00016352818,0.00008596877,0.000045917084],"category_scores_gemma":[0.000004799914,0.000046766057,0.000022283013,0.000058341306,0.00014362304,0.00016729384,0.00041851136,0.00024091428,0.000045382425],"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":[0.0002108941,0.00008596593,0.21868722,0.0001300788,0.000016534073,0.000024521587,0.030791016,0.018081453,0.73079336,0.00010427205,0.000005899167,0.001068777],"study_design_scores_gemma":[0.0004939639,0.000095702635,0.06515623,0.0000477925,0.0000058438313,0.000029412426,0.0002823202,0.90583724,0.025232837,0.0005279742,0.0021483703,0.00014232137],"about_ca_topic_score_codex":0.00041285326,"about_ca_topic_score_gemma":0.00050605997,"teacher_disagreement_score":0.88775575,"about_ca_system_score_codex":0.000083117484,"about_ca_system_score_gemma":0.0000017201581,"threshold_uncertainty_score":0.19070645},"labels":[],"label_agreement":null},{"id":"W2936450738","doi":"10.1029/2018wr023757","title":"Water Use Dynamics in Double Cropping of Rainfed Upland Rice and Irrigated Melons Produced Under Drought‐Prone Tropical Conditions","year":2019,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Agricultural Systems and Practices","field":"Agricultural and Biological Sciences","cited_by":21,"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","funders":"Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada","keywords":"Environmental science; Irrigation; Agronomy; Cropping; Melon; Water use; Dry season; Eddy covariance; Upland rice; Cropping system; Multiple cropping; Crop; Agriculture; Geography; Ecosystem; Biology; Oryza sativa; Sowing; Ecology; Horticulture","score_opus":0.06699320573452448,"score_gpt":0.30434888154415807,"score_spread":0.23735567580963357,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2936450738","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9930608,0.00004229722,2.1084855e-7,0.0050383853,0.000035971083,0.0006617216,0.000024143746,0.000023982699,0.0011124883],"genre_scores_gemma":[0.9949064,0.000017316685,0.000008366842,0.00002672158,0.000073926654,0.000031885193,0.00017767143,0.000002087688,0.004755603],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99791604,0.0003788356,0.00031828263,0.00039884236,0.00043057385,0.000557407],"domain_scores_gemma":[0.9992751,0.00030833957,0.000048362188,0.00009602045,0.00016325596,0.0001089071],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00063500286,0.00014075686,0.00026331237,0.000051719784,0.00026475583,0.00024143132,0.00022201713,0.00013988039,0.0002998813],"category_scores_gemma":[0.000024959034,0.00003943388,0.00004418679,0.00036447143,0.00015777856,0.00039613762,0.00021914263,0.0003592456,0.00008900629],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002857919,0.000114285016,0.12191431,0.00006979547,0.00003876907,0.000010600793,0.0018527014,0.000031225347,0.8750506,0.0003289967,0.00009591857,0.0002070116],"study_design_scores_gemma":[0.0011927981,0.00051332207,0.89237654,0.00013579972,0.00001534963,0.000037860747,0.004071295,0.0004496963,0.07029789,0.00048727632,0.030051097,0.00037110323],"about_ca_topic_score_codex":0.013302484,"about_ca_topic_score_gemma":0.0060853055,"teacher_disagreement_score":0.8047527,"about_ca_system_score_codex":0.00006586383,"about_ca_system_score_gemma":0.000004141225,"threshold_uncertainty_score":0.993268},"labels":[],"label_agreement":null},{"id":"W2936797906","doi":"10.1029/2018wr024572","title":"On the Dynamics of Two‐Component Convective Dissolution in Porous Media","year":2019,"lang":"en","type":"article","venue":"Water Resources Research","topic":"CO2 Sequestration and Geologic Interactions","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":false,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; Commonwealth Scientific and Industrial Research Organisation; Alberta Innovates - Technology Futures; Western Canada Research Grid","keywords":"Buoyancy; Convection; Diffusion; Instability; Thermal diffusivity; Double diffusive convection; Convective instability; Porous medium; Mechanics; Dissolution; Thermodynamics; Materials science; Rayleigh number; Physics; Chemistry; Natural convection; Porosity","score_opus":0.03218014172331208,"score_gpt":0.31432571905434353,"score_spread":0.28214557733103146,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2936797906","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95190024,0.0000024673047,0.0000104294795,0.0028326963,0.000052680574,0.000255224,0.000003302071,0.000006877785,0.04493606],"genre_scores_gemma":[0.9968694,0.0000024150202,0.000008533122,0.000047621576,0.0000104245755,0.000019150944,0.000011691508,0.0000039453575,0.0030268135],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986828,0.00031885022,0.00013670647,0.00017094528,0.00044627453,0.00024441193],"domain_scores_gemma":[0.9993861,0.00033395874,0.000020909156,0.0002105388,0.0000178209,0.000030720217],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00085111597,0.0000547406,0.000072167,0.00007467344,0.00007687433,0.000019062327,0.00021274785,0.00003277702,0.0064706304],"category_scores_gemma":[0.00006776083,0.00002950539,0.00002376405,0.00015878017,0.00024054895,0.00005394856,0.0001745787,0.00030647058,0.0015111081],"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":[0.0014374754,0.0017612575,0.49317005,0.000045735742,0.00006694495,0.000078707875,0.10896493,0.043443996,0.23239532,0.106396504,0.0035344968,0.008704592],"study_design_scores_gemma":[0.0022196176,0.0014102219,0.68238384,0.00015300176,0.000008410514,0.000032632634,0.0138142705,0.14593868,0.06571712,0.06756851,0.020181172,0.0005725029],"about_ca_topic_score_codex":0.0026362818,"about_ca_topic_score_gemma":0.0032322255,"teacher_disagreement_score":0.1892138,"about_ca_system_score_codex":0.00022966733,"about_ca_system_score_gemma":0.00000352661,"threshold_uncertainty_score":0.9992663},"labels":[],"label_agreement":null},{"id":"W2938760149","doi":"10.1029/2018wr023419","title":"Mobility and Bioavailability of Sediment Phosphorus in Urban Stormwater Ponds","year":2019,"lang":"en","type":"article","venue":"Water Resources Research","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":false,"ca_institutions":"Trent University","funders":"Environment and Climate Change Canada; Trent University","keywords":"Stormwater; Environmental science; Sediment; Aquatic ecosystem; Water column; Environmental chemistry; Phosphorus; Surface runoff; Cycling; Bioavailability; Algae; Hydrology (agriculture); Environmental engineering; Ecology; Chemistry; Biology; Geology","score_opus":0.016748906531784798,"score_gpt":0.26400832895775134,"score_spread":0.24725942242596655,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2938760149","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9955568,0.000074322495,5.575149e-7,0.00020548602,0.000041040876,0.00044770158,0.0000069214234,0.000013575678,0.0036536057],"genre_scores_gemma":[0.9978921,0.000021868207,0.00003975886,0.000018702007,0.000010954336,0.000023780216,0.0000067283067,0.000012098589,0.0019740243],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9976702,0.00024029483,0.00028455132,0.0005047381,0.0007169828,0.00058327045],"domain_scores_gemma":[0.9992754,0.00006548906,0.000021790052,0.0004971692,0.000020200978,0.00011995819],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020875863,0.00012520047,0.00020196177,0.00011432528,0.00006171216,0.00003330728,0.0003212703,0.000091518385,0.00068674574],"category_scores_gemma":[0.00001707115,0.000080479025,0.000037813083,0.00025926076,0.0005879591,0.00013603935,0.0008721104,0.00028619546,0.00047625415],"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":[0.00015327393,0.00018812924,0.9855563,0.000039075916,0.0000043833143,0.0000034688162,0.0064201723,0.00006873724,0.006609558,0.000004414198,0.00012579914,0.00082669005],"study_design_scores_gemma":[0.0011901016,0.00051522924,0.8835296,0.000033187112,0.0000035857406,0.0000031554669,0.00071753137,0.00282387,0.05719741,0.0026755237,0.051039323,0.00027149532],"about_ca_topic_score_codex":0.0032303147,"about_ca_topic_score_gemma":0.00004192509,"teacher_disagreement_score":0.102026716,"about_ca_system_score_codex":0.00021283577,"about_ca_system_score_gemma":0.0000042905767,"threshold_uncertainty_score":0.75193846},"labels":[],"label_agreement":null},{"id":"W2939865695","doi":"10.1029/2018wr023815","title":"A Race Against Time: Modeling Time Lags in Watershed Response","year":2019,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":81,"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":"National Science Foundation","keywords":"Environmental science; Soil and Water Assessment Tool; SWAT model; Watershed; Manure; Hydrology (agriculture); Groundwater; Water quality; Land use; Fertilizer; Water resource management; Drainage basin; Ecology; Streamflow; Geography; Engineering; Computer science","score_opus":0.021117785190655863,"score_gpt":0.27360965328534675,"score_spread":0.2524918680946909,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2939865695","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9681551,0.000022479486,0.0000051944435,0.0035487374,0.000023248891,0.00053644355,0.0000015867283,0.000058330967,0.027648898],"genre_scores_gemma":[0.91772926,0.00001568244,0.0000733522,0.00022832573,0.000017638935,0.000046679623,0.000012194415,0.000026352633,0.081850514],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9963268,0.0009765773,0.0002706646,0.00062251184,0.00070308114,0.0011003787],"domain_scores_gemma":[0.9992292,0.00014015523,0.000017558492,0.0004943341,0.000014670202,0.000104065766],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0046573705,0.0001848774,0.0002598137,0.00030270428,0.00026321466,0.00007197753,0.0006058065,0.00012341503,0.004706617],"category_scores_gemma":[0.0000611691,0.00012663026,0.00005623669,0.0003314265,0.00029357508,0.0002351521,0.0015649106,0.0004664835,0.06423918],"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":[0.006404014,0.00036605707,0.08994018,0.000073978255,0.00010908356,0.0003981509,0.051678356,0.2742066,0.56423825,0.0000051585143,0.011304776,0.0012753676],"study_design_scores_gemma":[0.0034828437,0.000676737,0.009104289,0.00010944825,0.000014474292,0.000008063401,0.0012330562,0.65717816,0.021412494,0.0011040621,0.3046628,0.0010136052],"about_ca_topic_score_codex":0.0002861942,"about_ca_topic_score_gemma":0.000021814218,"teacher_disagreement_score":0.54282576,"about_ca_system_score_codex":0.00019911124,"about_ca_system_score_gemma":0.0000036966558,"threshold_uncertainty_score":0.99620324},"labels":[],"label_agreement":null},{"id":"W2940033432","doi":"10.1029/2018wr023329","title":"How Spatial Patterns of Soil Moisture Dynamics Can Explain Field‐Scale Soil Moisture Variability: Observations From a Sodic Landscape","year":2019,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Soil Moisture and Remote Sensing","field":"Environmental Science","cited_by":36,"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":"Environment and Climate Change Canada; Canada Excellence Research Chairs, Government of Canada; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Water content; Environmental science; Soil science; Soil water; Spatial variability; Moisture; Water balance; Hydrology (agriculture); Agronomy; Geology; Geography; Mathematics","score_opus":0.01740886085795949,"score_gpt":0.23783090394461495,"score_spread":0.22042204308665547,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2940033432","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9851206,0.000026281088,0.00034722645,0.0060277516,0.0001780521,0.00041391945,0.00006285961,0.00004241787,0.0077808965],"genre_scores_gemma":[0.9931744,0.000015207839,0.0001902285,0.00019225,0.00024886755,0.000008019682,0.00022973429,0.000038400543,0.00590293],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9965465,0.00050290546,0.00030721218,0.00069371256,0.0012141181,0.0007355561],"domain_scores_gemma":[0.99840957,0.0003670315,0.00007395155,0.00089286,0.00006870486,0.00018791102],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00082217914,0.00025007947,0.00035749975,0.00011163519,0.00027170804,0.00018987944,0.00062612444,0.00032714914,0.00043302015],"category_scores_gemma":[0.00011106928,0.00017249785,0.00013743243,0.00026138607,0.0002100214,0.00014182908,0.0007014986,0.00081625074,0.0000964638],"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":[0.00008139855,0.00011024326,0.9618947,0.000057032605,0.000038500853,0.000018377828,0.00921597,0.00073746697,0.01916355,0.0000052245578,0.00060608843,0.008071485],"study_design_scores_gemma":[0.00090950023,0.00026986166,0.9424837,0.00011299824,0.000032869644,0.000007672165,0.0046565114,0.014012949,0.023037363,0.0013140707,0.01271592,0.00044658448],"about_ca_topic_score_codex":0.12696488,"about_ca_topic_score_gemma":0.23145267,"teacher_disagreement_score":0.1044878,"about_ca_system_score_codex":0.00020485745,"about_ca_system_score_gemma":0.000021990869,"threshold_uncertainty_score":0.87884873},"labels":[],"label_agreement":null},{"id":"W2941811831","doi":"10.1029/2018wr023893","title":"Analysis of Unconfined Flow Induced by Constant Rate Pumping Based on the Lagging Theory","year":2019,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Groundwater flow and contamination studies","field":"Environmental Science","cited_by":31,"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":"Ministry of Science and Technology, Taiwan; National Natural Science Foundation of China","keywords":"Mechanics; Aquifer; Laplace transform; Drawdown (hydrology); Lagging; Lag; Suction; Mathematics; Geotechnical engineering; Geology; Mathematical analysis; Groundwater; Thermodynamics; Physics; Statistics; Computer science","score_opus":0.03097561507219138,"score_gpt":0.2784584331798917,"score_spread":0.24748281810770034,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2941811831","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9854278,0.000011224638,0.0005600148,0.0012127802,0.000020515723,0.0002744993,0.000008942551,0.000015578718,0.012468648],"genre_scores_gemma":[0.99202126,0.000002438358,0.000010257161,0.0002579079,0.000007333868,0.000031651678,0.000013447014,0.000010062506,0.0076456266],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99731725,0.00093408476,0.00021579658,0.00032157212,0.00078962283,0.00042169823],"domain_scores_gemma":[0.9987674,0.00068196695,0.000039499293,0.00041884897,0.000040992243,0.000051333285],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003734862,0.00011614385,0.00021899068,0.00022951592,0.00027992934,0.000083606974,0.0004079815,0.00004424849,0.005162827],"category_scores_gemma":[0.000053193897,0.000060104674,0.00009399321,0.0007366214,0.00029912736,0.00006103109,0.00028597433,0.00023360134,0.0005216694],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004145175,0.00018492411,0.085415445,0.000028008668,0.00080131035,0.000008700268,0.015711885,0.010683879,0.8560538,0.00029397028,0.0006916639,0.029711882],"study_design_scores_gemma":[0.0017115776,0.00063461124,0.058199245,0.000106196785,0.00029391356,5.583774e-7,0.008504473,0.31944442,0.46048686,0.00047720116,0.14947653,0.000664417],"about_ca_topic_score_codex":0.000441307,"about_ca_topic_score_gemma":0.000052291172,"teacher_disagreement_score":0.39556697,"about_ca_system_score_codex":0.00008568313,"about_ca_system_score_gemma":0.000005484849,"threshold_uncertainty_score":0.9957466},"labels":[],"label_agreement":null},{"id":"W2943868032","doi":"10.1029/2018wr024029","title":"Harmonic Pulse Testing for Well Monitoring: Application to a Fractured Geothermal Reservoir","year":2019,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydraulic Fracturing and Reservoir Analysis","field":"Engineering","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":"Nexen (Canada)","funders":"H2020 LEIT Information and Communication Technologies; Internationale Stichting Alzheimer Onderzoek","keywords":"Injection well; Geothermal gradient; Time domain; Frequency domain; SIGNAL (programming language); Petroleum engineering; Wireline; Geology; Environmental science; Computer science; Geophysics; Telecommunications","score_opus":0.03187705288637496,"score_gpt":0.29909595907811065,"score_spread":0.2672189061917357,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2943868032","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9902258,0.00024955545,0.0017876953,0.00060251134,0.00010772303,0.0009627094,0.000006769508,0.000287971,0.00576925],"genre_scores_gemma":[0.9910447,0.000007078719,0.00086607493,0.000022888782,0.0005596164,0.00042602659,0.000020343683,0.000102761864,0.006950507],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.99736744,0.00009890899,0.00030383238,0.0004813564,0.00068999024,0.0010584873],"domain_scores_gemma":[0.9984276,0.00029698334,0.000018608036,0.0007534588,0.00023100783,0.00027230088],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0011512303,0.00021578436,0.00027248415,0.0004865949,0.00025036,0.00021328361,0.0006986853,0.00016831754,0.00017051413],"category_scores_gemma":[0.000115572286,0.00015882975,0.000114738745,0.0005507119,0.000038993545,0.00011787697,0.00019537438,0.00057080557,0.0020732381],"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":[0.0001146908,0.000043084496,0.00823106,0.0003932182,0.00011883217,0.000006504262,0.003346033,0.7408975,0.23913227,9.3417805e-7,0.0012456813,0.0064702],"study_design_scores_gemma":[0.00058956386,0.0002024124,0.006460756,0.00010698607,0.00001800909,0.000002655523,0.00026066953,0.17061707,0.3126375,0.00011914672,0.5085762,0.0004089875],"about_ca_topic_score_codex":0.00040793009,"about_ca_topic_score_gemma":0.00001683885,"teacher_disagreement_score":0.57028043,"about_ca_system_score_codex":0.0001635919,"about_ca_system_score_gemma":0.000012398469,"threshold_uncertainty_score":0.9987038},"labels":[],"label_agreement":null},{"id":"W2944043438","doi":"10.1029/2018wr024124","title":"Demand Satisfaction as a Framework for Understanding Intermittent Water Supply Systems","year":2019,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Water Systems and Optimization","field":"Engineering","cited_by":61,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Centre for Global Health Research; University of Toronto","funders":"Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada","keywords":"Customer satisfaction; Peak demand; Environmental economics; Computer science; Water resource management; Environmental science; Business; Economics; Engineering; Marketing","score_opus":0.052579677707162265,"score_gpt":0.29474242133449685,"score_spread":0.2421627436273346,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2944043438","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91943145,0.00016834238,0.074936196,0.00017884513,0.00094843993,0.0013519276,0.000008684829,0.00019562947,0.002780508],"genre_scores_gemma":[0.99455255,0.000018612818,0.00026910938,0.000008242274,0.0002897836,0.00017560633,0.000036748228,0.00007517363,0.0045741573],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9980514,0.00012710069,0.00029969958,0.00029875306,0.00047397873,0.0007490825],"domain_scores_gemma":[0.9993562,0.00010154125,0.000013339161,0.00032624812,0.00009290382,0.000109755136],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009265567,0.00016871895,0.00022957212,0.00032732345,0.00019024158,0.00045710217,0.00019144702,0.00019200632,0.00017643106],"category_scores_gemma":[0.000014077809,0.00010442037,0.00007028842,0.00009995845,0.000035423483,0.0001972189,0.00009176359,0.00032039284,0.0007106586],"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":[0.0008226646,0.00009588532,0.051077664,0.008175859,0.0009446047,0.00006727894,0.11544011,0.70089227,0.08821116,0.015318534,0.016828174,0.0021258355],"study_design_scores_gemma":[0.0034536056,0.0012874091,0.0021724747,0.0025112717,0.00006046802,0.00013752311,0.018201426,0.50416845,0.15605345,0.024443282,0.28571564,0.001795032],"about_ca_topic_score_codex":0.00029879887,"about_ca_topic_score_gemma":0.000045396995,"teacher_disagreement_score":0.26888746,"about_ca_system_score_codex":0.00034143787,"about_ca_system_score_gemma":0.0000042760057,"threshold_uncertainty_score":0.9134316},"labels":[],"label_agreement":null},{"id":"W2944607176","doi":"10.1029/2018wr024067","title":"Global and Regional Increase of Precipitation Extremes Under Global Warming","year":2019,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Climate variability and models","field":"Environmental Science","cited_by":700,"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":"Global Water Futures","keywords":"Precipitation; Climatology; Magnitude (astronomy); Environmental science; Global warming; Climate change; Period (music); Global change; Trend analysis; Climate extremes; Atmospheric sciences; Geography; Meteorology; Geology; Mathematics; Statistics","score_opus":0.05866104505748787,"score_gpt":0.32733172229798685,"score_spread":0.268670677240499,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2944607176","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9872793,0.000043747546,0.000040050938,0.0005054145,0.000017430146,0.00023527398,0.000015411564,0.000012645488,0.011850704],"genre_scores_gemma":[0.999041,0.000015289601,0.00025391325,0.000040298713,0.00001609321,0.000007855145,0.000012498406,0.000004485459,0.000608531],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9982907,0.00022558977,0.00016363616,0.00031641897,0.0006588056,0.00034484646],"domain_scores_gemma":[0.99952656,0.000088935914,0.00002140601,0.00023074048,0.000024452982,0.000107879896],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001029616,0.00007841657,0.000109117056,0.000026795875,0.00009717589,0.000040473697,0.00019563008,0.00006556793,0.0009676869],"category_scores_gemma":[0.00003493777,0.000056466914,0.00002982622,0.00018662105,0.00035926985,0.00016279184,0.0005162469,0.00008367674,0.0002557703],"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":[0.00032340563,0.00018566485,0.9701568,0.000090931026,0.00001916313,0.000003480265,0.003507712,0.0046533537,0.016535278,0.0011081692,0.00057038653,0.0028456866],"study_design_scores_gemma":[0.0016604664,0.0005221666,0.8671023,0.00011084243,0.000018826157,0.00003872392,0.0026093954,0.017993225,0.0021221917,0.06819828,0.03919329,0.0004302427],"about_ca_topic_score_codex":0.003453762,"about_ca_topic_score_gemma":0.00029235688,"teacher_disagreement_score":0.10305442,"about_ca_system_score_codex":0.0001913657,"about_ca_system_score_gemma":0.0000076146493,"threshold_uncertainty_score":0.9999456},"labels":[],"label_agreement":null},{"id":"W2944739670","doi":"10.1029/2018wr023789","title":"Effect of Digital Elevation Model Resolution on the Simulation of the Snow Cover Evolution in the High Atlas","year":2019,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":67,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"Région Occitanie Pyrénées-Méditerranée; Centre National d’Etudes Spatiales; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada; Agence Universitaire de la Francophonie","keywords":"Digital elevation model; Snow; Elevation (ballistics); Variogram; Environmental science; Snowmelt; Atlas (anatomy); Remote sensing; Snow cover; Flood myth; Geology; Meteorology; Geomorphology; Kriging; Mathematics; Geography","score_opus":0.03590839956090565,"score_gpt":0.2755808975507772,"score_spread":0.23967249798987156,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2944739670","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99648035,0.000052548425,0.000064615706,0.0009618493,0.00004442574,0.00063168874,0.000026134136,0.0000039493098,0.0017344598],"genre_scores_gemma":[0.9993328,0.0000062310473,0.0000027930803,0.000022320963,0.000038720635,0.000005301784,0.000029508607,0.0000025875227,0.0005597549],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9981208,0.0004968329,0.0001969692,0.0001441465,0.0008130705,0.00022819478],"domain_scores_gemma":[0.9978259,0.0016978901,0.00005461335,0.00031826887,0.000090969945,0.000012333353],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018900825,0.0000725466,0.00010233583,0.000048039117,0.00022626297,0.000049025173,0.00034474212,0.00004559225,0.00014808518],"category_scores_gemma":[0.0002809791,0.000026793317,0.000054559347,0.00045432476,0.00015029394,0.00012184878,0.000035536912,0.00021397797,0.000078722536],"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":[0.00018555048,0.000013368804,0.20703419,0.000019062014,0.0000064402107,9.372017e-8,0.0016165039,0.78982884,0.00018990554,0.00015266979,0.00016000084,0.00079341274],"study_design_scores_gemma":[0.00020723847,0.00031161372,0.42755285,0.000033646927,0.000003951056,1.4620989e-7,0.00030234997,0.56906736,0.00057352247,0.00080414617,0.001105494,0.00003767243],"about_ca_topic_score_codex":0.001517763,"about_ca_topic_score_gemma":0.00025276293,"teacher_disagreement_score":0.22076143,"about_ca_system_score_codex":0.000018005112,"about_ca_system_score_gemma":0.000012651805,"threshold_uncertainty_score":0.22944137},"labels":[],"label_agreement":null},{"id":"W2944865547","doi":"10.1029/2019wr025080","title":"Balancing Open Science and Data Privacy in the Water Sciences","year":2019,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Privacy-Preserving Technologies in Data","field":"Computer Science","cited_by":86,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Government of British Columbia; Ministry of Environment; University of Victoria","funders":"National Science Foundation of Sri Lanka; Santa Fe Institute; National Science Foundation","keywords":"Open science; Data sharing; Water security; Open data; Data publishing; Internet privacy; Computer science; Meaning (existential); Information privacy; TRACE (psycholinguistics); Citizen science; Discipline; Publishing; Data science; Best practice; Sociology; Political science; World Wide Web; Social science; Psychology; Ecology; Water resources; Mathematics","score_opus":0.16468387344975838,"score_gpt":0.40865078133011834,"score_spread":0.24396690788035996,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2944865547","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.90678567,0.00009286212,0.00020387158,0.08523384,0.00009309365,0.0008511498,0.000005341694,0.00009621325,0.0066379523],"genre_scores_gemma":[0.98354435,0.000029731877,0.015843892,0.00029685078,0.00002775345,0.0000340793,0.000006475828,0.000008785759,0.00020809131],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.99359685,0.0005207859,0.00026483877,0.0016791745,0.002493599,0.0014447728],"domain_scores_gemma":[0.9815562,0.0004364283,0.000027375661,0.017716268,0.0001773459,0.00008639014],"candidate_categories":["metaresearch","scholarly_communication","open_science"],"consensus_categories":["metaresearch","open_science"],"category_scores_codex":[0.036064636,0.00014739543,0.00018548535,0.0007443041,0.0009980003,0.0051679034,0.2405561,0.000069271024,0.00003597048],"category_scores_gemma":[0.008976102,0.00006107031,0.000010237147,0.0019239662,0.0021637168,0.003948934,0.5881465,0.000715349,0.0003058295],"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":[0.00014493884,0.0006824935,0.19604671,0.00048359332,0.000057861693,0.0005135216,0.09078815,0.0000709959,0.31904292,0.013501303,0.20969014,0.16897736],"study_design_scores_gemma":[0.0011537876,0.0005220952,0.013300601,0.00024662665,0.000002941913,0.00015110617,0.0028084994,0.2454792,0.10492338,0.17859706,0.45206693,0.0007477576],"about_ca_topic_score_codex":0.0008984596,"about_ca_topic_score_gemma":0.00004034808,"teacher_disagreement_score":0.34759042,"about_ca_system_score_codex":0.000095285104,"about_ca_system_score_gemma":0.00013771937,"threshold_uncertainty_score":0.9993717},"labels":[],"label_agreement":null},{"id":"W2946284740","doi":"10.1029/2019wr025163","title":"Simulating C‐Band SAR Footprint‐Scale Backscatter Over Agricultural Area With a Physical Land Surface Model","year":2019,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Soil Moisture and Remote Sensing","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":false,"ca_institutions":"Agriculture and Agri-Food Canada; Environment and Climate Change Canada","funders":"Agriculture and Agri-Food Canada; Canadian Space Agency","keywords":"Environmental science; Remote sensing; Synthetic aperture radar; Water content; Soil science; Backscatter (email); Surface roughness; Surface finish; Geology; Geotechnical engineering; Materials science","score_opus":0.021396569627486834,"score_gpt":0.2695482526925579,"score_spread":0.24815168306507104,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2946284740","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9439518,0.0000078595185,0.000012945306,0.00036059035,0.000017277865,0.00029754595,9.885405e-7,0.000033805838,0.05531723],"genre_scores_gemma":[0.98959357,0.0000010599756,0.00027685592,0.000054166147,0.000093200055,7.380205e-7,0.0000066866887,0.000027025335,0.0099466825],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99751014,0.00013043308,0.00013154699,0.0005132817,0.0009827933,0.00073183316],"domain_scores_gemma":[0.9993437,0.0000972879,0.00002367894,0.00035745776,0.00002805954,0.00014983787],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00032733078,0.00018441546,0.00020519692,0.000034531447,0.00022861401,0.00015067458,0.00026736813,0.000080293044,0.00015785858],"category_scores_gemma":[0.000006166619,0.00009006688,0.00006569557,0.00020154256,0.00024746975,0.00012062532,0.00036970255,0.00046184962,0.0008782326],"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":[0.00012863014,0.00008779737,0.47855282,0.000021397516,0.000023883884,0.000014762821,0.014359568,0.26125172,0.24412538,5.0667603e-7,0.00027299402,0.0011605576],"study_design_scores_gemma":[0.0018544329,0.0004113364,0.5699935,0.00014680815,0.000023515557,0.00003802899,0.0015539996,0.30779442,0.10619815,0.00026175723,0.010922254,0.0008018073],"about_ca_topic_score_codex":0.0011050559,"about_ca_topic_score_gemma":0.00060961343,"teacher_disagreement_score":0.13792723,"about_ca_system_score_codex":0.000087574714,"about_ca_system_score_gemma":0.000004232228,"threshold_uncertainty_score":0.9998997},"labels":[],"label_agreement":null},{"id":"W2947097347","doi":"10.1029/2018wr024095","title":"Electro‐Thermal Subsurface Gas Generation and Transport: Model Validation and Implications","year":2019,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Geophysical and Geoelectrical Methods","field":"Earth and Planetary Sciences","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":"Queen's University; York University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Environmental science; Methane; Percolation (cognitive psychology); Boiling; Mechanics; Petroleum engineering; Thermodynamics; Chemistry; Geology; Physics","score_opus":0.05368914293773587,"score_gpt":0.29916879497809223,"score_spread":0.24547965204035638,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2947097347","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99631715,0.00021403885,0.00019357624,0.0013248603,0.000011227299,0.00023663617,0.000010590359,0.000015419864,0.0016765114],"genre_scores_gemma":[0.997621,0.00006268896,0.000683492,0.00004208695,0.00006337443,0.0000038151948,0.00006753393,0.0000038213557,0.0014521803],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9986714,0.0002132388,0.00012186725,0.00030736582,0.0002809438,0.0004051654],"domain_scores_gemma":[0.9995505,0.00009930522,0.000012611004,0.00014279925,0.000061427534,0.00013335128],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006781029,0.00008344429,0.00010948928,0.00008976474,0.00022453537,0.000088165645,0.000107754575,0.00006128872,0.00029449706],"category_scores_gemma":[0.000012725848,0.00005419232,0.00002001177,0.00019069809,0.000078066376,0.00011274314,0.0000132513815,0.00022422925,0.00014513578],"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":[0.00014250365,0.000046612826,0.23141089,0.000063040105,0.00002454437,0.0000017387486,0.0029189957,0.020997427,0.50054127,0.00027446327,0.00008475658,0.24349378],"study_design_scores_gemma":[0.00034760748,0.0004100555,0.52508134,0.000005938217,0.000010124562,0.000006861605,0.00003852366,0.39410937,0.06784088,0.0073334416,0.004590327,0.00022553404],"about_ca_topic_score_codex":0.00062017847,"about_ca_topic_score_gemma":0.000071805815,"teacher_disagreement_score":0.43270037,"about_ca_system_score_codex":0.0000030343097,"about_ca_system_score_gemma":0.00001001824,"threshold_uncertainty_score":0.32245362},"labels":[],"label_agreement":null},{"id":"W2947861505","doi":"10.1029/2018wr024403","title":"Rapid and Accurate Estimates of Streamflow Depletion Caused by Groundwater Pumping Using Analytical Depletion Functions","year":2019,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":60,"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":"Natural Sciences and Engineering Research Council of Canada","keywords":"Streamflow; Groundwater; Apportionment; STREAMS; Environmental science; Function (biology); Hydrology (agriculture); Soil science; Geology; Computer science; Geography; Drainage basin; Geotechnical engineering","score_opus":0.04730435263835233,"score_gpt":0.3041824290788145,"score_spread":0.2568780764404622,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2947861505","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9967691,0.000047606783,0.00036110013,0.0006156953,0.000037791535,0.00030256805,0.0000042126017,0.000026156995,0.00183578],"genre_scores_gemma":[0.9981161,0.000042871867,0.000081420716,0.00003584757,0.000018047036,0.000014882135,0.000028618142,0.000014952911,0.0016472567],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99821067,0.0002128503,0.00022000002,0.0003988779,0.00043158312,0.0005260286],"domain_scores_gemma":[0.9995497,0.000094449875,0.000032387667,0.00022719313,0.000021613809,0.00007465062],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00093902566,0.0001331496,0.00019103663,0.00014923242,0.00035816443,0.0000669814,0.00015826698,0.00008452328,0.0018407692],"category_scores_gemma":[0.00002838427,0.00009187822,0.000036797686,0.00018936969,0.00051282975,0.00025118887,0.00055745547,0.00020729747,0.00046774905],"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":[0.0002566649,0.00022277093,0.79848725,0.00016402881,0.00020832625,0.000013979972,0.004185228,0.004543242,0.18780598,0.000017506854,0.002310758,0.0017842795],"study_design_scores_gemma":[0.0048225997,0.0024544543,0.30368754,0.0002657853,0.0003625779,0.0000382333,0.0046627545,0.37642825,0.12678514,0.002382855,0.17645177,0.0016580133],"about_ca_topic_score_codex":0.0009445226,"about_ca_topic_score_gemma":0.00005017228,"teacher_disagreement_score":0.49479967,"about_ca_system_score_codex":0.00007901625,"about_ca_system_score_gemma":0.0000018100026,"threshold_uncertainty_score":0.99907166},"labels":[],"label_agreement":null},{"id":"W2948604023","doi":"10.1029/2019wr025135","title":"A Global Data Set for Economic Losses of Extreme Hydrological Events During 1960‐2014","year":2019,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Flood Risk Assessment and Management","field":"Environmental Science","cited_by":52,"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":"Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences; National Science Foundation of Sri Lanka; University of Texas at El Paso; San Diego State University; National Science Foundation","keywords":"Climate change; Flood myth; China; Geography; Index (typography); Liberian dollar; Scale (ratio); Environmental science; Climatology; Physical geography; Economics; Ecology; Cartography","score_opus":0.09106526181604628,"score_gpt":0.3513999984619658,"score_spread":0.2603347366459195,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2948604023","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9925078,0.00002497003,0.00003512315,0.00033516917,0.000059845097,0.0007067651,0.0000902427,0.00001845373,0.006221629],"genre_scores_gemma":[0.9960583,0.00003373616,0.00032003393,0.000014331047,0.00005301457,0.000035857975,0.000083823565,0.000011164928,0.0033897667],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9979762,0.0001333581,0.0002279179,0.00057117356,0.0004937402,0.00059760694],"domain_scores_gemma":[0.9989917,0.000053332467,0.000037966645,0.0008226451,0.000006495366,0.0000878129],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001244868,0.000114674374,0.00017661258,0.00005462546,0.00012396327,0.000046304714,0.0012566298,0.000058601025,0.003556791],"category_scores_gemma":[0.000012277229,0.000077431854,0.00004991691,0.00006577555,0.00016074973,0.00021479555,0.0029837976,0.00009783377,0.0020516762],"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":[0.00039439707,0.00018786559,0.9679044,0.0001575003,0.00007950412,0.0000065755085,0.000580502,0.0038586813,0.011694537,0.00007082184,0.013868579,0.0011966317],"study_design_scores_gemma":[0.0034037263,0.0009743073,0.39353615,0.00005103392,0.000037771828,0.000008142402,0.0005821825,0.025284605,0.012055215,0.0035615496,0.55991936,0.000585933],"about_ca_topic_score_codex":0.0013117285,"about_ca_topic_score_gemma":0.00035518556,"teacher_disagreement_score":0.57436824,"about_ca_system_score_codex":0.00017540126,"about_ca_system_score_gemma":0.000005842845,"threshold_uncertainty_score":0.99872535},"labels":[],"label_agreement":null},{"id":"W2948796511","doi":"10.1029/2018wr023892","title":"Multivariate Nonstationary Oscillation Simulation of Climate Indices With Empirical Mode Decomposition","year":2019,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Drought Analysis","field":"Environmental Science","cited_by":18,"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; Institut National d'Optique","funders":"National Research Foundation of Korea","keywords":"Multivariate statistics; Autoregressive model; Mode (computer interface); Oscillation (cell signaling); Series (stratigraphy); Climatology; Stochastic modelling; Econometrics; Autoregressive integrated moving average; Statistics; Mathematics; Environmental science; Time series; Meteorology; Computer science; Geology; Geography","score_opus":0.029863397347353698,"score_gpt":0.3969745392702506,"score_spread":0.3671111419228969,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2948796511","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98968387,0.000005063479,0.00063542865,0.00021358521,0.00000924093,0.00021424839,0.0000055640717,0.000016240498,0.009216771],"genre_scores_gemma":[0.9990694,0.0000046822397,0.000523913,0.000027754308,0.000015820553,0.000009254812,0.000063816056,0.000009077207,0.0002763145],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9982489,0.0003308526,0.0001934424,0.0002799013,0.000632904,0.00031400094],"domain_scores_gemma":[0.99948204,0.00018339018,0.00004955988,0.00019505345,0.00003402292,0.00005595183],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0007187786,0.00007918474,0.00012828552,0.00016322137,0.00018927133,0.000023635874,0.00014587831,0.00008342076,0.0018555123],"category_scores_gemma":[0.000011575188,0.000050704457,0.000033493834,0.00031851267,0.00020948886,0.00025517316,0.00015864997,0.00016550197,0.001021283],"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":[0.00025503323,0.000045827237,0.4363372,0.000009792088,0.000013880038,0.0000022024337,0.003237787,0.54867554,0.010980374,0.0000035015971,0.000007657766,0.0004312328],"study_design_scores_gemma":[0.0005253436,0.0002661076,0.19315043,0.000017342803,0.000014695096,0.0000022963654,0.00016641866,0.79782134,0.005209823,0.00044763356,0.0022577443,0.00012080971],"about_ca_topic_score_codex":0.00044876582,"about_ca_topic_score_gemma":0.00010573941,"teacher_disagreement_score":0.24914584,"about_ca_system_score_codex":0.00006327648,"about_ca_system_score_gemma":0.00000429883,"threshold_uncertainty_score":0.9997565},"labels":[],"label_agreement":null},{"id":"W2953791169","doi":"10.1029/2018wr024236","title":"Empirical Stream Thermal Sensitivities May Underestimate Stream Temperature Response to Climate Warming","year":2019,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":94,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Trent University; Natural Resources Canada; University of British Columbia; Canadian Forest Service","funders":"Natural Sciences and Engineering Research Council of Canada; University of Victoria","keywords":"Environmental science; Climate change; STREAMS; Global warming; Hydrology (agriculture); Ecosystem; Groundwater; Surface runoff; Precipitation; Climatology; Ecology; Meteorology; Geology; Geography","score_opus":0.03289020418970034,"score_gpt":0.3235043849390333,"score_spread":0.29061418074933293,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2953791169","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96228087,0.000008531854,9.2093114e-7,0.008419154,0.000078602425,0.0005885395,0.000014828961,0.00008983473,0.028518714],"genre_scores_gemma":[0.9738899,0.000012500277,0.00012259441,0.00083789084,0.00005219767,0.000054078817,0.000010138168,0.000031782867,0.024988938],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9962573,0.00087041885,0.00021497667,0.00064277573,0.0007446964,0.0012698339],"domain_scores_gemma":[0.998877,0.00041336752,0.000022340704,0.0004899324,0.000025412912,0.00017195765],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0024161441,0.00022376294,0.0002503444,0.00019842056,0.0007104628,0.00015561409,0.0004181553,0.00013639776,0.0030294536],"category_scores_gemma":[0.0000947093,0.00015208618,0.00005991804,0.00029553598,0.0004242329,0.00019499248,0.0022284223,0.0004915006,0.0085696615],"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":[0.0029025192,0.000240002,0.8094458,0.000093677896,0.00010174422,0.00035767132,0.021706194,0.0048683966,0.110212974,0.000017937193,0.049160685,0.0008924285],"study_design_scores_gemma":[0.00075865583,0.0008379378,0.81188756,0.00006559535,0.000015531292,0.00001446287,0.006514829,0.00032480108,0.025339069,0.00012726802,0.15361772,0.0004965647],"about_ca_topic_score_codex":0.00016847397,"about_ca_topic_score_gemma":0.0004240096,"teacher_disagreement_score":0.10445704,"about_ca_system_score_codex":0.0001918947,"about_ca_system_score_gemma":0.0000069290772,"threshold_uncertainty_score":0.9978819},"labels":[],"label_agreement":null},{"id":"W2964062092","doi":"10.1029/2018wr024298","title":"Evaluating How Landform Design and Soil Covers Influence Groundwater Recharge in a Reclaimed Watershed","year":2019,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Peatlands and Wetlands Ecology","field":"Environmental Science","cited_by":24,"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; Alberta Advanced Education; University of Alberta","funders":"Syncrude; Government of Alberta; Canadian Natural Resources Limited","keywords":"Groundwater recharge; Environmental science; Hydrology (agriculture); Watershed; Soil texture; Groundwater; Geology; Soil water; Soil science; Aquifer","score_opus":0.06500554414069541,"score_gpt":0.32610785645176027,"score_spread":0.26110231231106484,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2964062092","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99583423,0.000017045864,0.000017130973,0.0011736295,0.000027499626,0.00061435904,0.0000011356819,0.000023071145,0.0022919222],"genre_scores_gemma":[0.99235517,0.00003247202,0.000320852,0.000105525396,0.000022702752,0.000083187806,0.000013892315,0.0000196885,0.007046501],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9969521,0.00066622195,0.00020017865,0.0005574363,0.00065501075,0.00096906105],"domain_scores_gemma":[0.99928105,0.00021245549,0.000027907241,0.00031403726,0.000021160973,0.00014336195],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0043060444,0.00015840796,0.00022795354,0.00018265237,0.00019101452,0.00018752493,0.00035428253,0.00014286781,0.0012693071],"category_scores_gemma":[0.00007811397,0.00009895609,0.000028389994,0.00022457908,0.00023404711,0.00032860896,0.0005962523,0.00042576605,0.0008822579],"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":[0.000492396,0.00006474639,0.69973,0.00003384984,0.000013786303,0.000049193684,0.0094772475,0.0029763773,0.28437862,0.0000032335563,0.0005210569,0.002259497],"study_design_scores_gemma":[0.01311261,0.00590954,0.53085786,0.00026477652,0.0000278809,0.0001593991,0.002522804,0.081753686,0.2493807,0.0052282456,0.10884998,0.0019324964],"about_ca_topic_score_codex":0.0016337672,"about_ca_topic_score_gemma":0.00038109074,"teacher_disagreement_score":0.16887212,"about_ca_system_score_codex":0.00021759167,"about_ca_system_score_gemma":0.000008898263,"threshold_uncertainty_score":0.9998957},"labels":[],"label_agreement":null},{"id":"W2969940692","doi":"10.1029/2018wr024618","title":"Global GRACE Data Assimilation for Groundwater and Drought Monitoring: Advances and Challenges","year":2019,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Geophysics and Gravity Measurements","field":"Earth and Planetary Sciences","cited_by":615,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Athabasca University","funders":"National Aeronautics and Space Administration","keywords":"Groundwater; Data assimilation; Environmental science; Precipitation; Hydrology (agriculture); Assimilation (phonology); Groundwater flow; Streamflow; Proxy (statistics); Drainage basin; Climatology; Meteorology; Geology; Aquifer; Geography","score_opus":0.1709467331816371,"score_gpt":0.3414350394402879,"score_spread":0.1704883062586508,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2969940692","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9873286,0.009584412,0.0000060134,0.0011702828,0.0001314769,0.00035026888,0.00007401528,0.0000122069005,0.0013427609],"genre_scores_gemma":[0.9971071,0.0018334169,0.00020560865,0.000008212515,0.00015706643,0.000003284682,0.00013108252,0.000003638674,0.0005505919],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99840903,0.00011118821,0.00010865397,0.00044601507,0.00050599955,0.00041908183],"domain_scores_gemma":[0.99939954,0.00007771208,0.000018210378,0.00032360395,0.00007635777,0.000104557956],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011506501,0.00009872516,0.00012315379,0.000053235988,0.00023647693,0.00022659499,0.00029698355,0.00005134989,0.000049801263],"category_scores_gemma":[0.000021012847,0.000063977015,0.000012967934,0.00007079809,0.00009031756,0.00046528233,0.00012524269,0.000095712414,0.000055810706],"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":[0.00012228408,0.000019761814,0.8811494,0.0002831857,0.000022440405,0.000001945655,0.0011283125,0.00004677995,0.000111541456,0.000022907938,0.000073715324,0.11701771],"study_design_scores_gemma":[0.0004298907,0.00030224436,0.68500835,0.000034343288,0.000006592333,0.0000036390998,0.0006747328,0.0020507022,0.00024047773,0.0046496913,0.3064517,0.00014760853],"about_ca_topic_score_codex":0.00071507285,"about_ca_topic_score_gemma":0.0006523695,"teacher_disagreement_score":0.306378,"about_ca_system_score_codex":0.0000044227404,"about_ca_system_score_gemma":0.0000060236835,"threshold_uncertainty_score":0.2608907},"labels":[],"label_agreement":null},{"id":"W2971319587","doi":"10.1029/2018wr023822","title":"Evaluating Climate Change Impacts on Soil Moisture and Groundwater Resources Within a Lake‐Affected Region","year":2019,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":80,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Agriculture and Agri-Food Canada; University of Toronto; University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; Ontario Ministry of Agriculture, Food and Rural Affairs","keywords":"Groundwater recharge; Environmental science; Climate change; Groundwater; Water table; Hydrology (agriculture); Climate model; Water cycle; Precipitation; Soil and Water Assessment Tool; Water resources; Surface water; Forcing (mathematics); Climatology; Streamflow; Drainage basin; Aquifer; Geology; Geography; Meteorology; Ecology","score_opus":0.07336759569285015,"score_gpt":0.3354041005312181,"score_spread":0.26203650483836793,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2971319587","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98318744,0.00006614063,7.8717545e-7,0.0038328378,0.00006982417,0.00088152796,0.000002429039,0.00008556375,0.01187348],"genre_scores_gemma":[0.9935823,0.00006645584,0.000026257196,0.0005892321,0.00012604572,0.00013043708,0.000013631393,0.000036640675,0.005428987],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9961094,0.00080492906,0.00022321285,0.00076868816,0.00094864244,0.0011450837],"domain_scores_gemma":[0.9991741,0.000117619165,0.000057320387,0.00047113735,0.00002260555,0.00015719124],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002790212,0.0002650046,0.00027467767,0.00022097999,0.0007444441,0.00017645625,0.00037386373,0.000160428,0.00056709035],"category_scores_gemma":[0.000049986233,0.00016192811,0.000052287192,0.0002523875,0.0005252659,0.0002786412,0.0014522235,0.00058124634,0.0021896013],"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":[0.0023153613,0.0004758982,0.7359578,0.00060713355,0.00023125435,0.00035223903,0.20436355,0.0022348594,0.03876461,0.00007473024,0.0065570516,0.0080654975],"study_design_scores_gemma":[0.004395332,0.0065264106,0.8354158,0.0005341602,0.00008750965,0.0000637122,0.00432874,0.004313921,0.014582737,0.0013316296,0.12699425,0.0014257998],"about_ca_topic_score_codex":0.0009838432,"about_ca_topic_score_gemma":0.0014595015,"teacher_disagreement_score":0.20003481,"about_ca_system_score_codex":0.00008953469,"about_ca_system_score_gemma":0.0000013653121,"threshold_uncertainty_score":0.9985873},"labels":[],"label_agreement":null},{"id":"W2979974660","doi":"10.1029/2019wr025726","title":"Fill and Spill Hillslope Runoff Representation With a Richards Equation‐Based Model","year":2019,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":45,"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; Institut National de la Recherche Scientifique","funders":"","keywords":"Bedrock; Surface runoff; Geology; Richards equation; Hydrology (agriculture); Drainage basin; Subsurface flow; Boundary value problem; Scale (ratio); Geomorphology; Environmental science; Soil science; Soil water; Geotechnical engineering; Groundwater; Mathematics","score_opus":0.04604640686687981,"score_gpt":0.2952728903824425,"score_spread":0.24922648351556267,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2979974660","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96460396,0.000017510227,0.0004847989,0.0024836897,0.000014724088,0.00047085457,0.000002724596,0.000034550332,0.03188719],"genre_scores_gemma":[0.98827094,0.000015642572,0.00048910204,0.00023651528,0.000015833177,0.000062567364,0.000017082335,0.0000149191865,0.010877388],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9981234,0.00017001184,0.00012815924,0.00045484686,0.0006502182,0.00047333582],"domain_scores_gemma":[0.9995,0.00006097825,0.000021370544,0.00032010482,0.00002340571,0.00007415374],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.000837599,0.000115603165,0.00013109941,0.00012984792,0.0003142886,0.00006327937,0.00021348153,0.000053443087,0.0011045523],"category_scores_gemma":[0.000020074545,0.00007049127,0.000020692394,0.00021044297,0.00037166654,0.00016256375,0.00051051774,0.00018727932,0.001245208],"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":[0.0007084753,0.00013677319,0.6755895,0.00009131379,0.000093206414,0.00003638322,0.015476541,0.28979978,0.011095567,0.0001291452,0.0049289125,0.0019144122],"study_design_scores_gemma":[0.0037533392,0.0011937718,0.10317474,0.000067716974,0.000046571255,0.0000069848684,0.0011718366,0.7857131,0.018807733,0.0053942795,0.07989078,0.00077915814],"about_ca_topic_score_codex":0.00041639997,"about_ca_topic_score_gemma":0.000086901106,"teacher_disagreement_score":0.57241476,"about_ca_system_score_codex":0.000058871963,"about_ca_system_score_gemma":0.0000030880187,"threshold_uncertainty_score":0.99980855},"labels":[],"label_agreement":null},{"id":"W2981468872","doi":"10.1029/2018wr024492","title":"Combined Effect of Tides and Varying Inland Groundwater Input on Flow and Salinity Distribution in Unconfined Coastal Aquifers","year":2019,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Groundwater and Isotope Geochemistry","field":"Earth and Planetary Sciences","cited_by":72,"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":"National Natural Science Foundation of China-Yunnan Joint Fund","keywords":"Aquifer; Intertidal zone; Submarine groundwater discharge; Geology; Saltwater intrusion; Groundwater; Oceanography; Hydrology (agriculture); Estuary; Seawater; Tidal irrigation; Environmental science; Geotechnical engineering","score_opus":0.015150924930934107,"score_gpt":0.24965276022463528,"score_spread":0.23450183529370117,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2981468872","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9983674,0.000037227663,0.000002437325,0.00008429701,0.000041773845,0.00032594646,0.00006950092,0.000011360925,0.0010600035],"genre_scores_gemma":[0.99893916,0.00001859892,0.000012014969,0.000013055574,0.000025615635,0.0000029702223,0.00048836565,0.0000046179916,0.0004956339],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9981862,0.00040562075,0.00021593331,0.00033188492,0.00040099706,0.00045940818],"domain_scores_gemma":[0.9991567,0.00047927262,0.000022357179,0.0001840131,0.00004225809,0.00011540165],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001402342,0.00014715169,0.0002634896,0.00013280686,0.00011270446,0.00017819722,0.00013611435,0.00009694332,0.0002322463],"category_scores_gemma":[0.00006555,0.00008958102,0.000026356152,0.0001372414,0.00023496244,0.00018371321,0.000085978776,0.00033175605,0.000051473875],"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":[0.0011427396,0.000018257975,0.99123883,0.00020077878,0.000012527518,0.0000132111845,0.00082984485,0.00012746523,0.0037802001,0.0000011297204,0.000030871637,0.002604121],"study_design_scores_gemma":[0.0023385608,0.002042272,0.9281826,0.00013976866,0.000006731579,0.000012200033,0.0001580866,0.0055948934,0.059387125,0.00016890703,0.0017563808,0.00021246955],"about_ca_topic_score_codex":0.006367477,"about_ca_topic_score_gemma":0.00033513055,"teacher_disagreement_score":0.063056245,"about_ca_system_score_codex":0.0000071617687,"about_ca_system_score_gemma":0.000008395674,"threshold_uncertainty_score":0.9625763},"labels":[],"label_agreement":null},{"id":"W2982722737","doi":"10.1029/2019wr025019","title":"On the Role of a Large Shallow Lake (Lake St. Clair, USA‐Canada) in Modulating Phosphorus Loads to Lake Erie","year":2019,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Aquatic Ecosystems and Phytoplankton Dynamics","field":"Environmental Science","cited_by":33,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Waterloo","funders":"Global Water Futures; University of Waterloo; University of Michigan","keywords":"Tributary; Eutrophication; Hydrology (agriculture); Environmental science; Nutrient; Phosphorus; Sediment; Ecology; Geology; Geography; Geomorphology","score_opus":0.012551410963740538,"score_gpt":0.2494465880740234,"score_spread":0.23689517711028285,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2982722737","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96670073,0.000018990904,0.00000645407,0.0004029935,0.000047005986,0.0006236243,0.00027040968,0.000007696229,0.03192211],"genre_scores_gemma":[0.9948962,0.0000022867425,0.000031937212,0.00014676774,0.000026145859,0.000049797487,0.000041973806,0.000024477815,0.0047804443],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99662924,0.00028467303,0.00034531136,0.00041611242,0.0014383018,0.00088636146],"domain_scores_gemma":[0.99890256,0.00026557065,0.000049710165,0.00060038577,0.000024039453,0.0001577193],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0020986053,0.00016017073,0.00024375676,0.00008015332,0.0001795931,0.00006007123,0.0006917214,0.000087214874,0.019693827],"category_scores_gemma":[0.00008681705,0.000098469674,0.00004803901,0.0003797427,0.0000808013,0.000065655724,0.00060100964,0.0004567805,0.0007662022],"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":[0.00013772848,0.00011452801,0.9762522,0.000041527728,0.000017729602,0.000023394206,0.00476631,0.011858502,0.001522226,0.00074586016,0.002931014,0.0015889719],"study_design_scores_gemma":[0.00034676332,0.0002142839,0.08056744,0.0001131434,0.0000018027844,0.0000021784706,0.0009298179,0.03206297,0.0012260186,0.0006949895,0.8836267,0.00021387088],"about_ca_topic_score_codex":0.035145838,"about_ca_topic_score_gemma":0.98635066,"teacher_disagreement_score":0.95120484,"about_ca_system_score_codex":0.00015086711,"about_ca_system_score_gemma":0.000032728287,"threshold_uncertainty_score":0.98482347},"labels":[],"label_agreement":null},{"id":"W2983718385","doi":"10.1029/2018wr024488","title":"Taliks: A Tipping Point in Discontinuous Permafrost Degradation in Peatlands","year":2019,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":105,"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; Government of Northwest Territories; University of Waterloo","funders":"Polar Knowledge Canada","keywords":"Permafrost; Environmental science; Snow; Snowpack; Soil water; Hydrology (agriculture); Water content; Advection; Wetland; Snowmelt; Moisture; Peat; Soil science; Atmospheric sciences; Thermokarst; Geomorphology; Geology; Geotechnical engineering; Ecology; Geography; Meteorology","score_opus":0.05536193978764348,"score_gpt":0.296228801596076,"score_spread":0.24086686180843253,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2983718385","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98600817,0.00029759825,4.117761e-7,0.0008055942,0.000080997044,0.00036372786,0.0003275204,0.000013614552,0.012102358],"genre_scores_gemma":[0.9926662,0.00008718902,0.0000067810556,0.00006744844,0.000109607674,0.00000629376,0.004050045,0.0000074040336,0.0029990557],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9977231,0.00030461437,0.00027015817,0.00037363588,0.00052698876,0.0008015188],"domain_scores_gemma":[0.9994479,0.00014644871,0.00001999897,0.00025023974,0.000036483376,0.000098943776],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0015332489,0.00012769275,0.00020289926,0.00057724846,0.00009441938,0.00021171365,0.0003089756,0.00008798066,0.009592924],"category_scores_gemma":[0.000027833335,0.00008572662,0.000039998784,0.0004332029,0.00007646706,0.00029281309,0.00006908506,0.0004337349,0.0014268523],"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":[0.00010328483,0.000021036994,0.98394513,0.000043529417,0.0000024789667,0.000072843395,0.010154361,0.00016929692,0.003444458,0.000002000465,0.00013603726,0.0019055596],"study_design_scores_gemma":[0.00083204714,0.00016919326,0.95217574,0.00015337038,0.0000012727857,0.000019031935,0.0050045713,0.0070360815,0.00068585714,0.00013717033,0.033560038,0.00022564066],"about_ca_topic_score_codex":0.027573649,"about_ca_topic_score_gemma":0.107014045,"teacher_disagreement_score":0.07944039,"about_ca_system_score_codex":0.00002369247,"about_ca_system_score_gemma":0.000013272264,"threshold_uncertainty_score":0.99935067},"labels":[],"label_agreement":null},{"id":"W2984007892","doi":"10.1029/2019wr025126","title":"Bedload Sediment Transport Regimes of Semi‐alluvial Rivers Conditioned by Urbanization and Stormwater Management","year":2019,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Sediment Transport Processes","field":"Environmental Science","cited_by":39,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University; University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Bed load; Hydrology (agriculture); Alluvium; Sediment transport; STREAMS; Stormwater; Hyperconcentrated flow; Environmental science; Sediment; Geology; Surface runoff; Geotechnical engineering; Geomorphology; Ecology","score_opus":0.00933523144337477,"score_gpt":0.23676030688679373,"score_spread":0.22742507544341894,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2984007892","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9872873,0.00006711795,0.000055375156,0.00046020345,0.00003259893,0.00043587276,0.000015116865,0.000024004348,0.01162243],"genre_scores_gemma":[0.9879505,0.00008578726,0.000052455274,0.000089174995,0.0000117784075,0.000023499038,0.00012845603,0.000013781532,0.0116445515],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9982116,0.00009319786,0.00021693042,0.00038901853,0.00068568066,0.0004035628],"domain_scores_gemma":[0.9996308,0.000023337556,0.000029142888,0.00020219719,0.000019088064,0.00009540112],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00059240276,0.00012293916,0.00015886854,0.00009869546,0.0001567615,0.0000143647085,0.00023573835,0.00009267267,0.006109735],"category_scores_gemma":[0.0000013857508,0.00008995359,0.00002942807,0.00015115662,0.0004397656,0.00020450389,0.00009712304,0.00016379518,0.0004228345],"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":[0.0009662022,0.00057055237,0.75095844,0.00055701396,0.0002749331,0.000073449955,0.031440083,0.0029756743,0.19791348,0.0001652023,0.0123352725,0.0017696765],"study_design_scores_gemma":[0.0033773775,0.0009104343,0.07034459,0.000088787,0.00007903845,0.000008371528,0.0010960277,0.00044923817,0.3443663,0.0010325898,0.57769704,0.0005501916],"about_ca_topic_score_codex":0.00020190336,"about_ca_topic_score_gemma":0.00001371128,"teacher_disagreement_score":0.6806139,"about_ca_system_score_codex":0.000048873535,"about_ca_system_score_gemma":0.000002805293,"threshold_uncertainty_score":0.99479884},"labels":[],"label_agreement":null},{"id":"W2985855551","doi":"10.1029/2018wr024581","title":"Multiscale Data Fusion for Surface Soil Moisture Estimation: A Spatial Hierarchical Approach","year":2019,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Soil Moisture and Remote Sensing","field":"Environmental Science","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":"Office of the Director; National Aeronautics and Space Administration","keywords":"Environmental science; Sensor fusion; Watershed; Spatial analysis; Remote sensing; Spatial variability; Bayesian probability; Computer science; Data mining; Statistics; Geography; Mathematics; Machine learning; Artificial intelligence","score_opus":0.04845510862414651,"score_gpt":0.3137326781079339,"score_spread":0.26527756948378745,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2985855551","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96854854,0.000040628933,0.0027545504,0.0011271358,0.00011036784,0.0008949679,0.000015486612,0.000049892456,0.02645844],"genre_scores_gemma":[0.97920036,0.0000052900473,0.011666178,0.00006202079,0.00020738808,0.0000045355387,0.00035232792,0.000034298304,0.00846759],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9969534,0.0002697195,0.00021492562,0.0007990537,0.0010515698,0.0007112832],"domain_scores_gemma":[0.9985466,0.00018632805,0.000026365084,0.0010486026,0.000028069137,0.00016403206],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0014946376,0.0001628625,0.00019861011,0.000056088356,0.00040198522,0.00015082756,0.00088439346,0.00017169751,0.00022504201],"category_scores_gemma":[0.000070472626,0.0001021849,0.000056057426,0.00019168112,0.000340691,0.0001810452,0.0017443154,0.00051365484,0.0009838264],"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":[0.0017533792,0.0010926304,0.09848453,0.0005795237,0.00012370567,0.000060660634,0.03414715,0.102608144,0.25187272,0.000031633812,0.045885447,0.46336046],"study_design_scores_gemma":[0.0011254655,0.00019741806,0.034782697,0.00003764083,0.000011639939,0.000027479702,0.00036726976,0.7437039,0.008996844,0.00040421102,0.21001445,0.00033097982],"about_ca_topic_score_codex":0.0043493044,"about_ca_topic_score_gemma":0.00100512,"teacher_disagreement_score":0.64109576,"about_ca_system_score_codex":0.00009331489,"about_ca_system_score_gemma":0.000009767392,"threshold_uncertainty_score":0.999794},"labels":[],"label_agreement":null},{"id":"W2986587061","doi":"10.1029/2019wr025305","title":"Comparison of Estimation Methods for a Nonstationary Index‐Flood Model in Flood Frequency Analysis Using Peaks Over Threshold","year":2019,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Drought Analysis","field":"Environmental Science","cited_by":23,"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; University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada","keywords":"Flood myth; Estimator; Index (typography); Pooling; Context (archaeology); Computer science; Environmental science; Estimation; Statistics; Econometrics; Mathematics; Engineering; Geography","score_opus":0.07908733079752688,"score_gpt":0.4464337698550484,"score_spread":0.3673464390575215,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2986587061","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9209812,0.00005522376,0.076902606,0.00006991279,0.000009368431,0.00034844867,0.0000073355077,0.000011841436,0.0016140061],"genre_scores_gemma":[0.9476984,0.0000019023912,0.051912893,0.000016881047,0.00000812793,0.000036035162,0.000039559396,0.00001508811,0.00027110107],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99772245,0.0004045737,0.00043870643,0.00042420372,0.00054930395,0.00046074943],"domain_scores_gemma":[0.9992177,0.0002174295,0.0000728322,0.0003860743,0.00003764757,0.00006831845],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025089134,0.000120806006,0.0003934424,0.0006560977,0.00014712369,0.000029586507,0.0003508354,0.00015271097,0.0008650486],"category_scores_gemma":[0.000055692137,0.00009362397,0.00015446806,0.0011995507,0.0002247662,0.0002454148,0.00024629664,0.00029202134,0.000058569323],"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":[0.00005125526,0.00009273335,0.4388303,0.000013586488,0.00008107554,5.561841e-7,0.0034793033,0.54092336,0.016023584,0.000018547678,0.000007512685,0.00047816103],"study_design_scores_gemma":[0.0003858257,0.0000658596,0.023003487,0.000007764624,0.000101252685,3.9104708e-7,0.00019380442,0.9655254,0.0057021477,0.004861762,0.000043482785,0.00010881211],"about_ca_topic_score_codex":0.0014600945,"about_ca_topic_score_gemma":0.0005198049,"teacher_disagreement_score":0.42460203,"about_ca_system_score_codex":0.00013544173,"about_ca_system_score_gemma":0.000014302482,"threshold_uncertainty_score":0.9471676},"labels":[],"label_agreement":null},{"id":"W2987824351","doi":"10.1029/2018wr024295","title":"Glacial Melt and Potential Impacts on Water Resources in the Canadian Rocky Mountains","year":2019,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":57,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Geological Survey of Canada; Natural Resources Canada","funders":"","keywords":"Meltwater; Glacier; Geology; Aquifer; Glacial period; Hydrology (agriculture); Glacier mass balance; Climate change; Water mass; Streamflow; Arctic; Groundwater; Oceanography; Drainage basin; Geomorphology; Geography","score_opus":0.032967942737836174,"score_gpt":0.26832150690392326,"score_spread":0.23535356416608708,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2987824351","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98341185,0.00020501966,1.499924e-7,0.005634807,0.000095235766,0.00039244286,0.000028392102,0.000010873065,0.010221261],"genre_scores_gemma":[0.99742305,0.000047130776,0.0000072035123,0.00058811426,0.00023099044,0.0000051204897,0.00005929726,0.000006455679,0.0016326067],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9972813,0.00034881537,0.00018548103,0.00033947383,0.0008005171,0.001044423],"domain_scores_gemma":[0.999291,0.00014214234,0.000012667674,0.00028759215,0.000061874256,0.00020470993],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00160054,0.00014325038,0.00015886837,0.00019499297,0.00096708484,0.00047293378,0.00044688716,0.00009365351,0.0022007443],"category_scores_gemma":[0.000035488603,0.00006659974,0.000040701714,0.0002560864,0.00018256255,0.00011716089,0.00006587324,0.00048225792,0.00092539785],"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":[0.000271093,0.00003148,0.91562736,0.00003737762,0.000036638274,0.00013908726,0.07382011,0.0024268294,0.00032133528,0.000029733032,0.0019809545,0.0052779936],"study_design_scores_gemma":[0.0002938501,0.00023631171,0.69537914,0.000013387881,0.0000030963358,0.000007892556,0.0039839274,0.0009428023,0.00013866159,0.00019701303,0.2986802,0.00012374844],"about_ca_topic_score_codex":0.54837203,"about_ca_topic_score_gemma":0.78362894,"teacher_disagreement_score":0.29669926,"about_ca_system_score_codex":0.00003130671,"about_ca_system_score_gemma":0.000027628075,"threshold_uncertainty_score":0.9998525},"labels":[],"label_agreement":null},{"id":"W2988016419","doi":"10.1029/2018wr024245","title":"Consecutive Experimental Determination of Stress‐Dependent Fluid Flow Properties of Berea Sandstone and Implications for Two‐Phase Flow Modeling","year":2019,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Enhanced Oil Recovery Techniques","field":"Engineering","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":"Geomechanica (Canada); University of Alberta","funders":"","keywords":"Relative permeability; Capillary pressure; Wetting; Effective stress; Permeability (electromagnetism); Saturation (graph theory); Geotechnical engineering; Capillary action; Overburden pressure; Materials science; Porosity; Stress (linguistics); Porous medium; Geology; Mechanics; Composite material; Chemistry","score_opus":0.046457249542546666,"score_gpt":0.34111781726949436,"score_spread":0.2946605677269477,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2988016419","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9885752,0.0007466718,0.009258825,0.000026141626,0.000019401212,0.0007783214,0.00013178297,0.000059670143,0.0004039919],"genre_scores_gemma":[0.99577814,0.000055867968,0.0036916249,0.0000019694407,0.00001875485,0.00027432977,0.000028173761,0.000033371096,0.00011776642],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99892914,0.00005603419,0.00027879447,0.00020629595,0.0002474182,0.0002823133],"domain_scores_gemma":[0.99938625,0.00006725675,0.000021746924,0.0002525291,0.00022156301,0.000050636205],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003580867,0.000114701674,0.00020837953,0.00023957524,0.00006114628,0.000030063262,0.00016796181,0.00006762122,0.000019841453],"category_scores_gemma":[0.00002582216,0.00009056434,0.000042878703,0.00007373625,0.00010801486,0.00014380502,0.00010897057,0.00012414834,0.0000025158852],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001478408,0.000068683636,0.000119000026,0.00030632102,0.000022395288,2.3061925e-7,0.0042535434,0.009864844,0.9800666,0.000017809529,0.000013071348,0.0051196595],"study_design_scores_gemma":[0.0005339708,0.00018024378,0.000008644586,0.00010726277,0.0000036290267,0.0000017155003,0.00034388652,0.3387067,0.65990096,0.00009879291,0.000044620716,0.00006956874],"about_ca_topic_score_codex":0.00011157299,"about_ca_topic_score_gemma":0.000019142542,"teacher_disagreement_score":0.32884184,"about_ca_system_score_codex":0.00007150859,"about_ca_system_score_gemma":0.000013330979,"threshold_uncertainty_score":0.36931068},"labels":[],"label_agreement":null},{"id":"W2989398345","doi":"10.1029/2019wr025381","title":"Wettability Effects on Primary Drainage Mechanisms and NAPL Distribution: A Pore‐Scale Study","year":2019,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Enhanced Oil Recovery Techniques","field":"Engineering","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Argonne National Laboratory; Louisiana State University; Natural Sciences and Engineering Research Council of Canada; U.S. Department of Energy; Office of Science; National Science Foundation","keywords":"Pore water pressure; Wetting; Capillary pressure; Drainage; Capillary action; Vadose zone; Porous medium; Geology; Geotechnical engineering; Soil water; Materials science; Soil science; Mineralogy; Porosity; Composite material","score_opus":0.009988478078788028,"score_gpt":0.26480239888797563,"score_spread":0.2548139208091876,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2989398345","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9856433,0.00007377258,0.0004298454,0.000073011455,0.00009592442,0.0013353409,0.000013984046,0.00045204675,0.011882773],"genre_scores_gemma":[0.99808276,0.000012120168,0.00021928424,0.000019854213,0.00005485147,0.00021492426,0.000044274922,0.00004791696,0.0013040083],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99764204,0.00033744663,0.00020139967,0.00045527102,0.0007256951,0.0006381227],"domain_scores_gemma":[0.99888766,0.00028211466,0.000010790588,0.0006211243,0.0000686701,0.00012961752],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016038349,0.00020018025,0.00027369376,0.00015640713,0.00013332268,0.00013245156,0.0003066376,0.00012280144,0.00007677369],"category_scores_gemma":[0.000043080578,0.00014917366,0.000048528178,0.00021843443,0.000075879245,0.00013200444,0.00030964366,0.0006260218,0.00018976281],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011877248,0.0016071695,0.03128411,0.006094046,0.00040493874,0.00050544756,0.0289956,0.0007943765,0.8209454,0.0009379185,0.005072181,0.10217112],"study_design_scores_gemma":[0.0014318583,0.003436723,0.045493647,0.00025373118,0.000015135857,0.000014625942,0.00074021035,0.00096164166,0.9002703,0.009066529,0.037648037,0.00066754787],"about_ca_topic_score_codex":0.000033897195,"about_ca_topic_score_gemma":0.000013578563,"teacher_disagreement_score":0.10150358,"about_ca_system_score_codex":0.0002589339,"about_ca_system_score_gemma":0.000006001642,"threshold_uncertainty_score":0.60831255},"labels":[],"label_agreement":null},{"id":"W2990086091","doi":"10.1029/2019wr024849","title":"Spatial Characteristics Reveal the Reactive Transport of Radium Isotopes (<sup>224</sup>Ra, <sup>223</sup>Ra, and <sup>228</sup>Ra) in an Intertidal Aquifer","year":2019,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Groundwater and Isotope Geochemistry","field":"Earth and Planetary Sciences","cited_by":18,"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":"Research Grants Council, University Grants Committee","keywords":"Radium; Aquifer; Groundwater; Geology; Seawater; Intertidal zone; Hydrology (agriculture); Oceanography; Chemistry; Radiochemistry; Geotechnical engineering","score_opus":0.020602784760012333,"score_gpt":0.25062916108526956,"score_spread":0.23002637632525721,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2990086091","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9930309,0.0002492683,0.000012679596,0.00082049944,0.00007413092,0.0013404334,0.00040035538,0.000053199077,0.0040185438],"genre_scores_gemma":[0.9936871,0.0000904391,0.00006791431,0.00015707775,0.0005387847,0.000040035055,0.0008159425,0.00004605694,0.0045566363],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9932961,0.0009739443,0.0010526412,0.0012618103,0.001610418,0.0018050721],"domain_scores_gemma":[0.9974768,0.00043375208,0.0001379685,0.001143483,0.00029899162,0.0005089924],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002749722,0.0006115072,0.00090163475,0.00046675897,0.00043516827,0.00041565945,0.0015345981,0.0004366332,0.0028755171],"category_scores_gemma":[0.00009579468,0.00039711365,0.00020099075,0.00047585013,0.0009922662,0.00074745686,0.00025138984,0.001691489,0.00045722548],"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":[0.002168863,0.00027203263,0.9275786,0.0004368277,0.00012647382,0.00017256202,0.05029666,0.002071687,0.005829423,0.000005092342,0.00034031644,0.010701422],"study_design_scores_gemma":[0.0042541497,0.0026627777,0.79033124,0.0005243975,0.00010376441,0.00021668154,0.017910128,0.083637476,0.0313296,0.00041611248,0.06697555,0.0016381419],"about_ca_topic_score_codex":0.017644348,"about_ca_topic_score_gemma":0.0011983813,"teacher_disagreement_score":0.13724741,"about_ca_system_score_codex":0.000052185947,"about_ca_system_score_gemma":0.000119319804,"threshold_uncertainty_score":0.99984807},"labels":[],"label_agreement":null},{"id":"W2991318906","doi":"10.1029/2019wr025113","title":"Validity of Assuming Equilibrium Between Liquid Water and Vapor for Simulating Evaporation","year":2019,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Soil and Unsaturated Flow","field":"Engineering","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":"University of British Columbia","funders":"","keywords":"Non-equilibrium thermodynamics; Evaporation; Thermodynamics; Work (physics); Thermodynamic equilibrium; Liquid water; Mechanics; Materials science; Statistical physics; Physics","score_opus":0.0705368705084984,"score_gpt":0.3195200277236874,"score_spread":0.24898315721518904,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2991318906","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99821347,0.0000642648,0.0001415559,0.00006932568,0.000080413134,0.0004143323,0.0000131178385,0.0000776173,0.0009258999],"genre_scores_gemma":[0.9988855,0.0000041630833,0.00011375297,0.0000032009175,0.00022994232,0.000021158063,0.000095210446,0.000041879604,0.000605182],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9984919,0.00009772109,0.00027044537,0.00022627902,0.00036735376,0.000546311],"domain_scores_gemma":[0.9992548,0.0002643662,0.000014013823,0.00022654701,0.00015934759,0.00008091896],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012770379,0.00012455604,0.00022457918,0.00015968108,0.00007766309,0.00008106947,0.00015410145,0.00013738756,0.0000491855],"category_scores_gemma":[0.00004351156,0.00008044963,0.000047759237,0.000098498735,0.000053937838,0.00017678287,0.0001278949,0.0002603919,0.000039451017],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020760307,0.000016524233,0.013685599,0.0010513199,0.00007916146,0.0000028475788,0.008043375,0.027708493,0.94628763,0.000006712047,0.0001512031,0.0027595512],"study_design_scores_gemma":[0.00053178513,0.00032684128,0.0005572244,0.000062228275,0.00001191553,0.0000010101879,0.00018300964,0.09504912,0.886066,0.00021429233,0.016823605,0.00017293867],"about_ca_topic_score_codex":0.000030057396,"about_ca_topic_score_gemma":0.0000020179482,"teacher_disagreement_score":0.06734063,"about_ca_system_score_codex":0.00003202554,"about_ca_system_score_gemma":0.000004750753,"threshold_uncertainty_score":0.32806408},"labels":[],"label_agreement":null},{"id":"W2992919187","doi":"10.1029/2019wr026030","title":"Freezing Temperature Controls Winter Water Discharge for Cold Region Watershed","year":2019,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Natural Resources Canada","funders":"Natural Resources Canada","keywords":"Baseflow; Environmental science; Subarctic climate; Frost (temperature); Watershed; Aquifer; Hydrology (agriculture); Hydraulic conductivity; Climate change; Discharge; Global warming; Atmospheric sciences; Streamflow; Groundwater; Geology; Drainage basin; Soil science; Soil water; Geography; Geomorphology","score_opus":0.06306950454360034,"score_gpt":0.29183371632596655,"score_spread":0.22876421178236622,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2992919187","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99194956,0.00019172925,0.000002346709,0.003566571,0.00028221367,0.0011555309,0.0005136454,0.00004390534,0.0022944724],"genre_scores_gemma":[0.9708046,0.000032420092,0.000011749467,0.00040592763,0.0006010764,0.000028615614,0.0028325592,0.00002072148,0.025262384],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.99697804,0.00021312026,0.00027603563,0.0005589775,0.0005873039,0.0013865121],"domain_scores_gemma":[0.99895287,0.00019859431,0.000021151898,0.0004492926,0.00015917742,0.0002189007],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0011641111,0.00022462205,0.0003131516,0.00024616005,0.00043151394,0.000501075,0.00052144844,0.00019013858,0.009855705],"category_scores_gemma":[0.000015849912,0.000111873764,0.00014435015,0.00010780888,0.00013511974,0.0003050299,0.00008822923,0.00044941087,0.0037864395],"study_design_candidate":"bench_or_experimental","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":[0.0007380606,0.000029834133,0.32890964,0.00021030377,0.00005025105,0.0000340491,0.010543844,0.00006343685,0.6497383,0.00001077515,0.009384564,0.00028693044],"study_design_scores_gemma":[0.0017987699,0.0005659984,0.006656595,0.000094935116,0.000011811451,0.000019161369,0.0012692272,0.00120062,0.22609103,0.00020192239,0.7616861,0.00040384798],"about_ca_topic_score_codex":0.001847601,"about_ca_topic_score_gemma":0.0018788318,"teacher_disagreement_score":0.7523015,"about_ca_system_score_codex":0.0000139852855,"about_ca_system_score_gemma":0.000007756092,"threshold_uncertainty_score":0.99698925},"labels":[],"label_agreement":null},{"id":"W2994914735","doi":"10.1029/2019wr025313","title":"Precipitation‐Runoff and Storage Dynamics in Watersheds Underlain by Till and Permeable Bedrock in Alberta's Rocky Mountains","year":2019,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Intellijoint Surgical (Canada); University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Alberta Agriculture and Forestry","keywords":"Bedrock; Surface runoff; Snowmelt; Hydrology (agriculture); Water storage; Environmental science; Precipitation; Geology; Snow; Glacial period; Geomorphology; Ecology; Geography; Geotechnical engineering","score_opus":0.019341606946218275,"score_gpt":0.2531455089159113,"score_spread":0.23380390196969303,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2994914735","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9948116,0.0006253538,0.0000039730203,0.0014838359,0.00003613731,0.00035597789,0.00002849504,0.000008139527,0.0026465093],"genre_scores_gemma":[0.9897361,0.00024210886,0.00004832555,0.000060572303,0.000017783803,0.000007237517,0.00013235443,0.0000070041624,0.0097485185],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99834424,0.00017207047,0.0002050838,0.0003631565,0.00033906038,0.000576369],"domain_scores_gemma":[0.99937135,0.00031751383,0.000016333983,0.00015863252,0.000038675378,0.000097484444],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006494145,0.00012299337,0.00018309681,0.000143628,0.00020100453,0.0001526394,0.00016385588,0.00007901054,0.0004950179],"category_scores_gemma":[0.00003105313,0.00008797604,0.000015334976,0.00030368773,0.00011686086,0.00020497249,0.00009185515,0.00027824505,0.00009021875],"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":[0.00005416927,0.000020053007,0.9851428,0.000045550183,0.000008345154,0.0000053769268,0.009925172,0.0026102115,0.00008722272,0.000024619043,0.0002415126,0.0018349678],"study_design_scores_gemma":[0.0006408693,0.00019374561,0.7891019,0.000033034616,0.0000022313745,0.0000033389538,0.008740076,0.16952577,0.00002870565,0.00045181977,0.03109728,0.0001812325],"about_ca_topic_score_codex":0.06303837,"about_ca_topic_score_gemma":0.18588954,"teacher_disagreement_score":0.1960409,"about_ca_system_score_codex":0.000051796058,"about_ca_system_score_gemma":0.000012196943,"threshold_uncertainty_score":0.94320095},"labels":[],"label_agreement":null},{"id":"W2995803877","doi":"10.1029/2019wr025298","title":"Application of Multifrequency Acoustic Inversions Using Three Horizontally Profiling ADCPs","year":2019,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Sediment Transport Processes","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":"Simon Fraser University","funders":"PADI Foundation","keywords":"Inversion (geology); Standard deviation; Geology; Acoustic Doppler current profiler; Calibration; Grain size; Attenuation; Geodesy; Soil science; Current (fluid); Mathematics; Physics; Geomorphology; Statistics; Oceanography; Optics","score_opus":0.03492840156426892,"score_gpt":0.2969400173532404,"score_spread":0.2620116157889715,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2995803877","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99469006,0.000036346002,0.0012398213,0.0000804894,0.000025589585,0.0005137185,0.000003769645,0.00002426505,0.0033859555],"genre_scores_gemma":[0.99890906,0.0000061002797,0.00071242714,0.000015887812,0.00002103102,0.000024324896,0.000016305486,0.00001363332,0.00028123052],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9983635,0.00007814926,0.00020573284,0.00033966277,0.0005827176,0.00043022516],"domain_scores_gemma":[0.9994961,0.000055880428,0.00003220084,0.0003026606,0.000031596872,0.00008155712],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0007606382,0.00009379789,0.00013184572,0.00009982923,0.00019048354,0.000013378856,0.0004024576,0.00010807772,0.0014911174],"category_scores_gemma":[0.000016141998,0.00006784528,0.000037381145,0.0002627264,0.00033950532,0.00017318511,0.00018294882,0.00028559248,0.0008836831],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000048356476,0.000053140404,0.3290059,0.000053893895,0.00000806904,0.0000031932607,0.0009146675,0.012740594,0.6565265,0.0000109836255,0.000006019462,0.00062868756],"study_design_scores_gemma":[0.0014023148,0.00073171617,0.04148165,0.00009803179,0.00004848678,0.000014410677,0.00082655397,0.1993599,0.7436421,0.0024853193,0.0093604,0.0005491319],"about_ca_topic_score_codex":0.0011753264,"about_ca_topic_score_gemma":0.00020364011,"teacher_disagreement_score":0.28752425,"about_ca_system_score_codex":0.000071769806,"about_ca_system_score_gemma":0.000011549103,"threshold_uncertainty_score":0.99989426},"labels":[],"label_agreement":null},{"id":"W2996057190","doi":"10.1029/2019wr025828","title":"Seasonal evolution of active layer thaw depth and hillslope‐stream connectivity in a permafrost watershed","year":2019,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":67,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Queen's University; GDG Environnement; Université de Montréal; Center for Northern Studies","funders":"Natural Sciences and Engineering Research Council of Canada; ArcticNet; Association of Canadian Universities for Northern Studies; Polar Knowledge Canada","keywords":"Permafrost; Hydrology (agriculture); Streamflow; Riparian zone; Water table; Geology; Groundwater; Subsurface flow; Watershed; Active layer; Soil water; Environmental science; Geomorphology; Soil science; Drainage basin; Layer (electronics)","score_opus":0.054795617344222905,"score_gpt":0.29319493875329095,"score_spread":0.23839932140906805,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2996057190","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98830706,0.0002759432,3.779427e-7,0.00031469003,0.000052225463,0.00035014166,0.0022791272,0.000010419045,0.008410025],"genre_scores_gemma":[0.9981329,0.000061480205,0.000005704388,0.000022202577,0.0000671161,0.0000037502462,0.0011211096,0.0000064662486,0.0005793128],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99796015,0.00031420894,0.00017651926,0.00037903845,0.0005435193,0.00062653417],"domain_scores_gemma":[0.99930954,0.00022626253,0.000026612113,0.00021133752,0.00009277584,0.00013345577],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00090786506,0.0001346244,0.00024277966,0.00028568553,0.0001132134,0.00007259885,0.0002069498,0.00010787551,0.0070719463],"category_scores_gemma":[0.000024431441,0.00008850908,0.00004194045,0.00024971357,0.0002293857,0.00025474236,0.00009301952,0.00034208212,0.00036121116],"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":[0.00041517464,0.000033763783,0.9765618,0.000072172545,0.000012055192,0.000014610964,0.0076717506,0.000053144126,0.012091077,0.0000060588736,0.00008839888,0.0029799817],"study_design_scores_gemma":[0.0006158753,0.00023870279,0.982378,0.000047268368,0.0000031416273,0.0000145957665,0.003280862,0.0020617433,0.0072458717,0.00016788823,0.0038106197,0.0001354041],"about_ca_topic_score_codex":0.03242949,"about_ca_topic_score_gemma":0.06360777,"teacher_disagreement_score":0.03117828,"about_ca_system_score_codex":0.00002318413,"about_ca_system_score_gemma":0.000023710614,"threshold_uncertainty_score":0.99383575},"labels":[],"label_agreement":null},{"id":"W2996111813","doi":"10.1029/2019wr025333","title":"Evaluation of SNODAS Snow Water Equivalent in Western Canada and Assimilation Into a Cold Region Hydrological Model","year":2019,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":30,"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","funders":"Global Water Futures; Natural Sciences and Engineering Research Council of Canada; Institute for Wetland and Waterfowl Research, Ducks Unlimited Canada; China Scholarship Council; Environment Canada; Biogeoscience Institute, University of Calgary; Canada Research Chairs; Alberta Agriculture and Forestry; Canada Foundation for Innovation; Alberta Environment and Parks; Global Institute for Water Security, University of Saskatchewan","keywords":"Snow; Snowpack; Environmental science; Interception; Boreal; Data assimilation; Snowmelt; Atmospheric sciences; Sublimation (psychology); Climatology; Meteorology; Geology; Geography; Ecology","score_opus":0.11866367765015835,"score_gpt":0.3127761602488268,"score_spread":0.19411248259866848,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2996111813","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9972697,0.00021035013,0.000012851832,0.0012401978,0.000037729376,0.00039538313,0.0000047911844,0.0000050643257,0.0008239127],"genre_scores_gemma":[0.999095,0.000042086012,0.000037798716,0.00005401123,0.000023971035,0.000007944193,0.00003824487,0.000003004847,0.0006979137],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99767596,0.00029987274,0.00022341115,0.0002579696,0.0011787429,0.00036405798],"domain_scores_gemma":[0.99942106,0.00012003987,0.000022668679,0.00016972366,0.0002028704,0.000063624495],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023561916,0.00008226951,0.00014972068,0.00007077269,0.00012479008,0.00003726015,0.00014025062,0.00005949259,0.00034117923],"category_scores_gemma":[0.000053583677,0.000047118403,0.000017620203,0.0001292803,0.00008365131,0.00009952841,0.00007486746,0.00016370381,0.000019464942],"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":[0.00006500739,0.000014212627,0.87592226,0.000028516271,0.00001167515,0.0000035963587,0.0038827204,0.11490219,0.00056656526,0.000003634957,0.00013215389,0.004467481],"study_design_scores_gemma":[0.00046031372,0.00012842713,0.48247218,0.000026449765,0.000008700484,0.0000012525786,0.00037341728,0.5109999,0.00091311935,0.00062061875,0.003905368,0.00009019211],"about_ca_topic_score_codex":0.43091485,"about_ca_topic_score_gemma":0.76872355,"teacher_disagreement_score":0.39609775,"about_ca_system_score_codex":0.000047903653,"about_ca_system_score_gemma":0.000063060535,"threshold_uncertainty_score":0.5728747},"labels":[],"label_agreement":null},{"id":"W2996871526","doi":"10.1029/2018wr024542","title":"Snowmelt Detection with Calibrated, Enhanced‐Resolution Brightness Temperatures (CETB) in Colorado Watersheds","year":2020,"lang":"en","type":"article","venue":"Water Resources Research","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 Victoria","funders":"","keywords":"Snowmelt; Snowpack; Environmental science; Snow; Terrain; Meltwater; Remote sensing; Meteorology; Hydrology (agriculture); Geology; Geography","score_opus":0.042646069312426566,"score_gpt":0.25621899109335605,"score_spread":0.2135729217809295,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2996871526","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9953968,0.0003700075,0.00016866927,0.0023676008,0.00006387132,0.00036169833,0.000016481144,0.000065057015,0.0011898321],"genre_scores_gemma":[0.9988741,0.00007340538,0.00009497303,0.00023763678,0.00020194278,0.000015170543,0.00006516716,0.000009558063,0.00042802008],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9977203,0.00028264875,0.00023218745,0.00044634286,0.0006156145,0.0007029306],"domain_scores_gemma":[0.99939793,0.00009974931,0.000024107443,0.00017031007,0.00012384704,0.00018408198],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00042775657,0.00015993325,0.00020647248,0.00010211866,0.00052470126,0.00022859684,0.00028959406,0.00008732239,0.0010430956],"category_scores_gemma":[0.000037868616,0.00009339832,0.00003418263,0.00095294934,0.00022929627,0.0002493809,0.00005592046,0.00047407023,0.00024694914],"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":[0.00517318,0.00017985869,0.752084,0.0003857866,0.00018685026,0.00049769605,0.06335001,0.074535586,0.0779098,0.0000336294,0.0030624229,0.02260116],"study_design_scores_gemma":[0.0018524019,0.0017651987,0.64693403,0.00009593007,0.000015898748,0.00001971372,0.0071444465,0.047244865,0.1189076,0.0001433912,0.17520815,0.0006683517],"about_ca_topic_score_codex":0.010653975,"about_ca_topic_score_gemma":0.01944141,"teacher_disagreement_score":0.17214572,"about_ca_system_score_codex":0.000019284167,"about_ca_system_score_gemma":0.000022393391,"threshold_uncertainty_score":0.99987006},"labels":[],"label_agreement":null},{"id":"W2997498698","doi":"10.1029/2019wr025400","title":"Backward Probability Model for Identifying Multiple Contaminant Source Zones Under Transient Variably Saturated Flow Conditions","year":2019,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Groundwater flow and contamination studies","field":"Environmental Science","cited_by":21,"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":"Korea Environmental Industry and Technology Institute; National Research Foundation of Korea","keywords":"Vadose zone; Hydrogeology; Infiltration (HVAC); Environmental science; Groundwater; Contamination; Groundwater flow; A priori and a posteriori; Environmental remediation; Soil science; Hydrology (agriculture); Computer science; Environmental engineering; Aquifer; Geology; Geotechnical engineering; Soil water; Meteorology; Geography","score_opus":0.07838995910716136,"score_gpt":0.3168054448233476,"score_spread":0.23841548571618626,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2997498698","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8701321,0.000021171823,0.12661776,0.0008281656,0.00008980062,0.0015379986,0.000049133316,0.000069253,0.00065460225],"genre_scores_gemma":[0.96077234,0.000004136246,0.0014565105,0.0000956504,0.000032806558,0.000453453,0.0000935357,0.000034629895,0.03705692],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.996779,0.00027531385,0.0003868814,0.0007349421,0.00089673896,0.0009270772],"domain_scores_gemma":[0.99892926,0.00027076833,0.000040424387,0.0004643619,0.00014453712,0.0001506487],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0014568471,0.00022984954,0.0002960595,0.00012041542,0.00078808516,0.00022088698,0.00043508993,0.00012151269,0.00066996703],"category_scores_gemma":[0.000047194302,0.00016051291,0.0001337844,0.0003060975,0.00042925274,0.0003269144,0.0003808402,0.0003049576,0.0010201117],"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":[0.0009146256,0.00099231,0.043970544,0.000533706,0.00030812956,0.000011300959,0.10766905,0.40644142,0.42018366,0.00033036797,0.0058762305,0.012768652],"study_design_scores_gemma":[0.0025714978,0.00026117277,0.033493046,0.000064789754,0.000036724912,0.000007597345,0.0039380933,0.8617361,0.012835727,0.002635742,0.08186047,0.00055902],"about_ca_topic_score_codex":0.0009428043,"about_ca_topic_score_gemma":0.0008907181,"teacher_disagreement_score":0.4552947,"about_ca_system_score_codex":0.00029322717,"about_ca_system_score_gemma":0.000014404659,"threshold_uncertainty_score":0.9997577},"labels":[],"label_agreement":null},{"id":"W2997680695","doi":"10.1029/2019wr024957","title":"Illuminating water cycle modifications and Earth system resilience in the Anthropocene","year":2020,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Water-Energy-Food Nexus Studies","field":"Environmental Science","cited_by":225,"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; McGill University; University of Saskatchewan; University of Victoria","funders":"H2020 European Research Council; Japan Society for the Promotion of Science; Vetenskapsrådet; Svenska Forskningsrådet Formas; Natural Environment Research Council; Swedish Foundation for International Cooperation in Research and Higher Education; Sight Research UK","keywords":"Water cycle; Anthropocene; Earth system science; Biosphere; Resilience (materials science); Environmental resource management; Environmental science; Hydrosphere; Earth science; Scale (ratio); Water security; Aquatic ecosystem; Thriving; Ecosystem; Water resources; Ecology; Geography; Geology; Oceanography","score_opus":0.048973612408029915,"score_gpt":0.28847852353360337,"score_spread":0.23950491112557346,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2997680695","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9314353,0.00007265862,0.000026578811,0.007710242,0.000012975301,0.0002496043,0.0000059850554,0.00003819916,0.06044848],"genre_scores_gemma":[0.9992829,0.0000085417605,0.00008346812,0.00013304269,0.000057222845,0.00008166947,0.0000034974419,0.000016592006,0.00033307812],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99710315,0.00057315914,0.00023775645,0.00050562504,0.0008407804,0.00073953316],"domain_scores_gemma":[0.9994074,0.00010665574,0.000016416168,0.00033100398,0.000020359053,0.00011816089],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011820002,0.00013389725,0.00014816012,0.00007070698,0.00078731915,0.0001271574,0.0006116885,0.00004915882,0.00013063179],"category_scores_gemma":[0.000053862488,0.00006604948,0.000025212581,0.0003375344,0.00097397144,0.00017253555,0.0010148657,0.0003031119,0.00044343623],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023319367,0.00036981955,0.0271595,0.00041494495,0.000054529613,0.00045882133,0.43426865,0.007571484,0.512394,0.0038717825,0.0023849537,0.010818275],"study_design_scores_gemma":[0.0015544477,0.0009683812,0.061035357,0.00019058122,0.000023676512,0.00010098448,0.11662079,0.07791138,0.6764721,0.0053707333,0.058675636,0.0010759023],"about_ca_topic_score_codex":0.0016085847,"about_ca_topic_score_gemma":0.0001830049,"teacher_disagreement_score":0.31764787,"about_ca_system_score_codex":0.000063931584,"about_ca_system_score_gemma":0.0000023511052,"threshold_uncertainty_score":0.60555017},"labels":[],"label_agreement":null},{"id":"W2998131968","doi":"10.1029/2019wr025706","title":"Linking Mountain Glacier Retreat and Hydrological Changes in Southwestern Yukon","year":2020,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":49,"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","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada","keywords":"Glacier; Watershed; Climate change; Glacier mass balance; Glacier terminus; Surface runoff; Physical geography; Geology; Hydrology (agriculture); Environmental science; Climatology; Geomorphology; Geography; Oceanography; Ecology; Cryosphere","score_opus":0.09325759686174477,"score_gpt":0.2870666627868451,"score_spread":0.19380906592510033,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2998131968","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98550516,0.00082456385,0.0000031549127,0.012330224,0.000018977784,0.00015764502,0.000011561198,0.000025674735,0.0011230586],"genre_scores_gemma":[0.99855655,0.00020341983,0.000062931,0.00055484154,0.00023917826,0.000003910614,0.000032268857,0.000003901422,0.00034301175],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984723,0.00017673465,0.00013169585,0.0003312853,0.00037521689,0.00051277125],"domain_scores_gemma":[0.9995443,0.00016239271,0.00001229798,0.00010736964,0.000030317095,0.00014332263],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00058861496,0.000097365046,0.00015275364,0.000055266624,0.00026412844,0.00013222257,0.00019167966,0.000072692004,0.00096205185],"category_scores_gemma":[0.000059908063,0.00005957379,0.000019269848,0.00031037332,0.00017571289,0.00006307866,0.00011809063,0.00032713814,0.00015764106],"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":[0.000068131485,0.0000045182815,0.9729066,0.000021117043,0.0000056363706,0.00004872197,0.010027934,0.00025069763,0.00014131852,0.0000032509731,0.000041139585,0.01648097],"study_design_scores_gemma":[0.0002929118,0.0003263856,0.8682455,0.000017965343,0.0000026738192,0.000003484184,0.0017798914,0.0119055845,0.00011217567,0.0002450059,0.116943724,0.00012472758],"about_ca_topic_score_codex":0.0025644486,"about_ca_topic_score_gemma":0.008294843,"teacher_disagreement_score":0.11690258,"about_ca_system_score_codex":0.0000055760447,"about_ca_system_score_gemma":0.000004594417,"threshold_uncertainty_score":0.9999512},"labels":[],"label_agreement":null},{"id":"W2999944371","doi":"10.1029/2019wr026331","title":"Random Fields Simplified: Preserving Marginal Distributions, Correlations, and Intermittency, With Applications From Rainfall to Humidity","year":2020,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Drought Analysis","field":"Environmental Science","cited_by":86,"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":"Global Water Futures; Natural Sciences and Engineering Research Council of Canada","keywords":"Intermittency; Marginal distribution; Computer science; Random field; Flexibility (engineering); Statistical physics; Mathematics; Meteorology; Random variable; Statistics; Physics","score_opus":0.028447382231095535,"score_gpt":0.28501538166308354,"score_spread":0.256567999431988,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2999944371","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9549962,0.000054542004,0.027263032,0.012642408,0.0000059165004,0.0004367356,0.000040694602,0.0000422813,0.004518136],"genre_scores_gemma":[0.9977422,0.0000123715645,0.00057754817,0.00037476525,0.00008847584,0.00015771136,0.00009976173,0.00000871162,0.00093848084],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99839413,0.00023859846,0.00017299119,0.00044263888,0.0003833738,0.000368284],"domain_scores_gemma":[0.9991844,0.0001991427,0.000020063253,0.00029385314,0.000022858138,0.00027968048],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00045115064,0.000106208514,0.0001562967,0.000050997973,0.00054401223,0.000095861724,0.000390363,0.00008659474,0.0031291584],"category_scores_gemma":[0.00007086165,0.0000723547,0.000033642493,0.00035569016,0.0002963117,0.00012856213,0.0007170914,0.00038873818,0.0007242069],"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":[0.0023901397,0.0002884014,0.85199475,0.00006501616,0.00029196058,0.00009255423,0.057382222,0.011570205,0.012064501,0.00017338265,0.050906826,0.012780045],"study_design_scores_gemma":[0.0018562422,0.00042306405,0.071739696,0.000027314485,0.00008887642,0.000009693349,0.0016182375,0.020608274,0.004455446,0.0035527132,0.89511293,0.0005074945],"about_ca_topic_score_codex":0.0015582067,"about_ca_topic_score_gemma":0.0006052861,"teacher_disagreement_score":0.8442061,"about_ca_system_score_codex":0.000038945993,"about_ca_system_score_gemma":0.0000054798384,"threshold_uncertainty_score":0.9977821},"labels":[],"label_agreement":null},{"id":"W3001957918","doi":"10.1029/2019wr025307","title":"A Finite Volume Blowing Snow Model for Use With Variable Resolution Meshes","year":2020,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Cryospheric studies and observations","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":false,"ca_institutions":"Global Institute for Water Security; University of Saskatchewan","funders":"Global Water Futures","keywords":"Snow; Meltwater; Environmental science; Atmospheric sciences; Geology; Meteorology; Geomorphology; Geography","score_opus":0.12689955541016212,"score_gpt":0.27673698676886155,"score_spread":0.14983743135869942,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3001957918","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93937266,0.00039245337,0.051791675,0.005776955,0.000047517045,0.00080988306,0.00021252532,0.00010702909,0.0014893096],"genre_scores_gemma":[0.9668208,0.000052742864,0.025052294,0.00058692484,0.00027400648,0.000032257492,0.00021030396,0.000015420332,0.0069552986],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9982108,0.00008946118,0.00017144627,0.00036456203,0.0005070025,0.0006567371],"domain_scores_gemma":[0.99901724,0.00040930853,0.000019681176,0.00018635704,0.0001889223,0.0001785131],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005740195,0.00011703698,0.0001597513,0.000042623382,0.0007845034,0.00027547,0.00025864202,0.000054929093,0.00054949295],"category_scores_gemma":[0.00026240834,0.00007288936,0.000045090856,0.00038961513,0.00012791174,0.00027425715,0.00005946905,0.00021616003,0.0001118839],"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":[0.0007308071,0.000024144936,0.124514945,0.00008561079,0.00008032039,0.000011384491,0.015344243,0.84316814,0.00013249274,0.000034229874,0.012676665,0.0031969969],"study_design_scores_gemma":[0.0002620093,0.000227219,0.0063361544,0.000017817603,0.000008969345,6.5317545e-7,0.0004919868,0.78433967,0.000036670473,0.00013564812,0.20803882,0.000104394065],"about_ca_topic_score_codex":0.0025215962,"about_ca_topic_score_gemma":0.00095692446,"teacher_disagreement_score":0.19536217,"about_ca_system_score_codex":0.000008058706,"about_ca_system_score_gemma":0.000031866817,"threshold_uncertainty_score":0.60338455},"labels":[],"label_agreement":null},{"id":"W3003367883","doi":"10.1029/2019wr025286","title":"Many Commonly Used Rainfall‐Runoff Models Lack Long, Slow Dynamics: Implications for Runoff Projections","year":2020,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":175,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canmore Museum and Geoscience Centre; University of Saskatchewan","funders":"Australian Research Council; Department of Environment, Land, Water and Planning, State Government of Victoria","keywords":"Surface runoff; Environmental science; Hydrology (agriculture); Runoff curve number; Climatology; Geology; Geotechnical engineering; Ecology","score_opus":0.11949479628349009,"score_gpt":0.3448005371850385,"score_spread":0.22530574090154842,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3003367883","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.84344465,0.000047845675,0.014540178,0.10220662,0.00006290255,0.0026316338,0.00009954805,0.00024566412,0.036720943],"genre_scores_gemma":[0.98787516,0.000030258401,0.00051232125,0.00077761593,0.0000979148,0.000682055,0.00010049957,0.000038200105,0.009885955],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99759454,0.00021447171,0.00027721684,0.00062892685,0.0003895324,0.0008952929],"domain_scores_gemma":[0.9991715,0.0001233404,0.00003351123,0.00044125874,0.00003931836,0.00019107288],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00081121596,0.00019024787,0.00022453033,0.00012272599,0.0012324316,0.00012004847,0.0007364439,0.00011073606,0.00032793297],"category_scores_gemma":[0.0000453606,0.00014250998,0.00010743932,0.00036595084,0.0006426237,0.0002627791,0.0011604482,0.00036701353,0.0008402179],"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":[0.0013181032,0.0012737117,0.4795466,0.0006019698,0.0010270885,0.000061428,0.11045077,0.10488552,0.0137771685,0.010180034,0.2657941,0.011083503],"study_design_scores_gemma":[0.0026169529,0.0010400284,0.042737827,0.00003074779,0.00009731139,0.000009694733,0.002198261,0.33554083,0.0017513945,0.030442342,0.5825743,0.00096033193],"about_ca_topic_score_codex":0.0005058386,"about_ca_topic_score_gemma":0.0006876286,"teacher_disagreement_score":0.4368088,"about_ca_system_score_codex":0.00017383906,"about_ca_system_score_gemma":0.0000066086222,"threshold_uncertainty_score":0.9999378},"labels":[],"label_agreement":null},{"id":"W3005801829","doi":"10.1029/2019wr026430","title":"Numerical Study of Solute Transport in Heterogeneous Beach Aquifers Subjected to Tides","year":2020,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Groundwater flow and contamination studies","field":"Environmental Science","cited_by":44,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University; Bedford Institute of Oceanography; Fisheries and Oceans Canada","funders":"","keywords":"Plume; Aquifer; Geology; Spatial heterogeneity; Groundwater flow; Groundwater; Flow (mathematics); Panache; Spatial variability; Hydrology (agriculture); Geomorphology; Soil science; Mechanics; Geotechnical engineering; Meteorology","score_opus":0.05510385583182584,"score_gpt":0.30329918808668926,"score_spread":0.24819533225486343,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3005801829","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99785686,0.000017171864,0.00017779594,0.000860633,0.00001293166,0.00053500076,0.0000025137604,0.00002405332,0.0005130582],"genre_scores_gemma":[0.9989174,0.0000012427163,0.000036877194,0.00010541181,0.000021449092,0.00008076596,0.000004759086,0.00001565037,0.0008164388],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99755603,0.0002779818,0.0003057632,0.00042428967,0.0009204386,0.0005154907],"domain_scores_gemma":[0.9995458,0.000040653114,0.000015387886,0.00019590593,0.000026225216,0.00017600393],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00051173,0.000120246266,0.00023531949,0.000118976066,0.0001281612,0.000024682762,0.0004130151,0.000036560526,0.0003770172],"category_scores_gemma":[0.00002465984,0.00008636802,0.00003894829,0.0005804636,0.0001275064,0.00007195402,0.00030400502,0.0002128744,0.0002875092],"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":[0.00037169535,0.00054467225,0.7493996,0.000024780533,0.00003923273,0.0001479847,0.18311577,0.0037028408,0.056680717,5.4054357e-7,0.00026955327,0.0057026437],"study_design_scores_gemma":[0.0020300716,0.0034876221,0.8288031,0.00002211527,0.000015872225,0.0000058687656,0.010877973,0.0011380132,0.09369477,0.000018599932,0.059443504,0.00046246883],"about_ca_topic_score_codex":0.0033433721,"about_ca_topic_score_gemma":0.0007519848,"teacher_disagreement_score":0.17223778,"about_ca_system_score_codex":0.000076714074,"about_ca_system_score_gemma":0.0000032147348,"threshold_uncertainty_score":0.5054201},"labels":[],"label_agreement":null},{"id":"W3006468863","doi":"10.1029/2020wr028886","title":"Trend Detection in the Presence of Positive and Negative Serial Correlation: A Comparison of Block Maxima and Peaks‐Over‐threshold Data","year":2021,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Drought Analysis","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":true,"ca_institutions":"Golder Associates (Canada); University of Waterloo","funders":"","keywords":"Autocorrelation; Statistics; Mathematics; Maxima; Correlation; Lag; Nonparametric statistics; Series (stratigraphy); Econometrics; Computer science","score_opus":0.04591044634739984,"score_gpt":0.32728631374388706,"score_spread":0.28137586739648723,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3006468863","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9976265,0.00016412786,0.000013407469,0.00030832336,0.000009463305,0.00011574798,0.000019188685,0.0000018411603,0.0017414325],"genre_scores_gemma":[0.99970895,0.00002923678,0.0000390467,0.000008829194,0.000016272093,0.000005035049,0.00002104004,0.0000030519652,0.00016856281],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99838555,0.0005589306,0.00018692324,0.0002852074,0.00040335883,0.00018004797],"domain_scores_gemma":[0.99928784,0.0003163296,0.000038136382,0.00031277613,0.000013215789,0.000031725165],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009690444,0.000060883296,0.00015287117,0.00006524969,0.00013667838,0.000028125705,0.0002510514,0.000063237254,0.00021782033],"category_scores_gemma":[0.00009115356,0.000038706745,0.000015040681,0.00035772598,0.0006724655,0.00015393982,0.00070120057,0.00024010694,0.000004284878],"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":[0.0010807652,0.0003846517,0.7631733,0.00005477493,0.000101694524,0.0000616662,0.123979844,0.003963103,0.09699719,0.000026710182,0.00037778442,0.009798556],"study_design_scores_gemma":[0.0014581411,0.0005640177,0.64203644,0.000056437562,0.000069067246,0.00004594727,0.0101257935,0.17970736,0.1611582,0.0012948223,0.0032841389,0.00019965322],"about_ca_topic_score_codex":0.0018634725,"about_ca_topic_score_gemma":0.00625624,"teacher_disagreement_score":0.17574425,"about_ca_system_score_codex":0.000014829341,"about_ca_system_score_gemma":0.0000034924747,"threshold_uncertainty_score":0.34911287},"labels":[],"label_agreement":null},{"id":"W3006605670","doi":"10.1029/2019wr025122","title":"Modeling Hydrological Inflow Persistence Using Paleoclimate Reconstructions on the Québec‐Labrador (Canada) Peninsula","year":2020,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Tree-ring climate responses","field":"Earth and Planetary Sciences","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":"Institut National de la Recherche Scientifique; Ouranos; HEC Montréal; Hydro-Québec; Center for Northern Studies; Université du Québec à Montréal; Université de Montréal","funders":"","keywords":"Inflow; Series (stratigraphy); Calibration; Climatology; Hydropower; Gaussian; Hidden Markov model; Geology; Time series; Environmental science; Meteorology; Statistics; Mathematics; Geography; Computer science; Paleontology","score_opus":0.14701192839413976,"score_gpt":0.2789014532886187,"score_spread":0.13188952489447894,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3006605670","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9828093,0.00020398106,0.00001135556,0.013956048,0.00005861604,0.00023193605,0.000055642555,0.0000621729,0.0026109472],"genre_scores_gemma":[0.99900067,0.00003153749,0.00018010024,0.00049630256,0.00015577738,0.0000034659442,0.000012240211,0.000009670338,0.000110238514],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9965297,0.00074602675,0.0002788449,0.000500787,0.0010738901,0.000870754],"domain_scores_gemma":[0.99850243,0.0007250359,0.000028244933,0.00034195997,0.00009284766,0.0003094763],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00093777035,0.00018284605,0.00020565777,0.00011810109,0.0012656179,0.00026032055,0.00072635576,0.0000826098,0.002516392],"category_scores_gemma":[0.00047849267,0.000099698365,0.00007873982,0.0003679157,0.00037759528,0.00011821867,0.00011458651,0.0007625267,0.00035890404],"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":[0.0013489071,0.000032201584,0.34300336,0.000097746095,0.00009478142,0.00034580156,0.00869528,0.6344608,0.003722767,0.000029698042,0.00032618843,0.007842455],"study_design_scores_gemma":[0.00017131308,0.00022548884,0.008195568,0.00003857178,0.000009878032,0.00005722238,0.0023379375,0.9773691,0.0008123809,0.000055824126,0.01050985,0.00021685922],"about_ca_topic_score_codex":0.45169446,"about_ca_topic_score_gemma":0.4875825,"teacher_disagreement_score":0.3429083,"about_ca_system_score_codex":0.000034288405,"about_ca_system_score_gemma":0.00021991259,"threshold_uncertainty_score":0.99839544},"labels":[],"label_agreement":null},{"id":"W3006792783","doi":"10.1029/2019wr026010","title":"Where Is the Bottom of a Watershed?","year":2020,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Soil erosion and sediment transport","field":"Agricultural and Biological Sciences","cited_by":145,"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 Saskatchewan","funders":"Global Water Futures; National Science Foundation of Sri Lanka","keywords":"Watershed; Hydrology (agriculture); Geology; Environmental science; Geotechnical engineering; Computer science","score_opus":0.08970262746071506,"score_gpt":0.2876460250137816,"score_spread":0.19794339755306656,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3006792783","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92625827,0.00016058149,2.2492645e-7,0.071730204,0.000012772062,0.00015547778,0.000011150187,0.000025336838,0.0016460053],"genre_scores_gemma":[0.9975061,0.00006734128,0.0000058240657,0.0009902389,0.00014874441,0.000011000051,0.000013389043,9.600286e-7,0.0012564204],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.99846,0.00016151383,0.00016202389,0.0002192481,0.0006482269,0.00034902207],"domain_scores_gemma":[0.9996189,0.00009271225,0.000013663339,0.00006904542,0.000082396655,0.00012330462],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00051799644,0.00007453073,0.00011236624,0.000009242587,0.00021912775,0.000057666668,0.0005367583,0.000058130317,0.0030383307],"category_scores_gemma":[0.0000117755535,0.000016050157,0.00008506389,0.00027424275,0.00018135412,0.00003931073,0.00012019597,0.00026370128,0.00027109584],"study_design_candidate":"bench_or_experimental","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":[0.00018499904,0.00006204414,0.0351144,0.000040570758,0.000020599558,0.000010563879,0.019425826,0.0000017451604,0.9122658,0.000031372554,0.022314183,0.010527917],"study_design_scores_gemma":[0.00012376104,0.00030112054,0.018251808,0.00001537592,0.0000033125204,8.2448315e-7,0.0021822145,0.00007533469,0.15764582,0.00007679224,0.8212478,0.00007582163],"about_ca_topic_score_codex":0.00051738595,"about_ca_topic_score_gemma":0.000065486325,"teacher_disagreement_score":0.7989336,"about_ca_system_score_codex":0.0000050555786,"about_ca_system_score_gemma":0.000002199996,"threshold_uncertainty_score":0.997873},"labels":[],"label_agreement":null},{"id":"W3007400702","doi":"10.1029/2019wr025436","title":"Correlation Effects? A Major but Often Neglected Component in Sensitivity and Uncertainty Analysis","year":2020,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Probabilistic and Robust Engineering Design","field":"Decision Sciences","cited_by":56,"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 Saskatchewan","funders":"Canada First Research Excellence Fund","keywords":"Variogram; Sensitivity (control systems); Markov chain Monte Carlo; Econometrics; Multivariate normal distribution; Multivariate statistics; Bayesian probability; Statistics; Variance (accounting); Monte Carlo method; Computer science; Mathematics; Mathematical optimization; Kriging; Engineering","score_opus":0.09372949867446487,"score_gpt":0.34843134341289816,"score_spread":0.25470184473843327,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3007400702","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9575258,0.00011116762,0.039147027,0.0025757872,0.000027706752,0.00035492735,0.0000087268745,0.000046255886,0.00020260212],"genre_scores_gemma":[0.9991938,0.0000047438816,0.00028862356,0.00008972025,0.000051771203,0.000017258853,0.000014568548,0.000009977246,0.00032954707],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.995263,0.0017343414,0.00040433666,0.0006194965,0.0014914959,0.00048735284],"domain_scores_gemma":[0.9961263,0.002987846,0.000037554095,0.0003443952,0.00025286997,0.00025103643],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003820394,0.00013597678,0.00040319705,0.0007883106,0.0001787833,0.000277135,0.00030548274,0.00010452657,0.00006601574],"category_scores_gemma":[0.0033513869,0.000082833394,0.00008276532,0.0024048905,0.00021339348,0.00010373551,0.00035678683,0.00046722943,0.00014444935],"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":[0.00088760565,0.0001614182,0.0915168,0.00012380497,0.00032606506,0.0005404502,0.024391605,0.79815835,0.07191945,0.00018944361,0.0015768269,0.010208202],"study_design_scores_gemma":[0.00045120178,0.00011134614,0.09771067,0.000016459308,0.000031653348,0.0000034307973,0.00030994834,0.8974495,0.0008422949,0.00068176916,0.002259716,0.00013200614],"about_ca_topic_score_codex":0.0009221273,"about_ca_topic_score_gemma":0.00016147863,"teacher_disagreement_score":0.09929117,"about_ca_system_score_codex":0.000072206305,"about_ca_system_score_gemma":0.00001787416,"threshold_uncertainty_score":0.40121654},"labels":[],"label_agreement":null},{"id":"W3007916632","doi":"10.1029/2019wr025910","title":"A Network Approach for Delineating Homogeneous Regions in Regional Flood Frequency Analysis","year":2020,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Drought Analysis","field":"Environmental Science","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":"Institut National de la Recherche Scientifique; Institut National d'Optique","funders":"","keywords":"Quantile; Flood myth; Homogeneous; Computer science; Range (aeronautics); Network analysis; Homogenization (climate); Hydrology (agriculture); Environmental science; Data mining; Statistics; Geography; Mathematics; Geology; Engineering; Ecology","score_opus":0.07593020843129228,"score_gpt":0.30495290917927564,"score_spread":0.22902270074798337,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3007916632","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97158515,0.00028759713,0.017062433,0.0056496547,0.000007274861,0.00045001807,0.0000070626143,0.00006508299,0.0048856963],"genre_scores_gemma":[0.9883454,0.000016916018,0.009989028,0.00062569766,0.00024117898,0.00016751538,0.000097936165,0.000023916069,0.0004924454],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.997102,0.00044820903,0.00033962354,0.0006659986,0.00056473573,0.00087942014],"domain_scores_gemma":[0.99924153,0.00015633753,0.00003476986,0.000326373,0.000028348291,0.00021262797],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014570289,0.0001423561,0.0003091047,0.00019565602,0.00046693068,0.000054537537,0.0005696219,0.00014371365,0.0004934791],"category_scores_gemma":[0.00011125662,0.000105715444,0.00021063753,0.0022876447,0.00031519998,0.00008753148,0.0003436699,0.00041009806,0.00018136726],"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":[0.00020066534,0.00014931326,0.3022991,0.000022738106,0.00035624244,0.00006135195,0.010246584,0.6790158,0.0019410662,0.00007087974,0.004759284,0.0008769348],"study_design_scores_gemma":[0.0009174633,0.00032123315,0.0058028833,0.000008505273,0.00031433156,0.000011512621,0.00080599095,0.9409384,0.00049559405,0.004590027,0.04530819,0.00048587887],"about_ca_topic_score_codex":0.00133998,"about_ca_topic_score_gemma":0.0008814128,"teacher_disagreement_score":0.29649624,"about_ca_system_score_codex":0.00008109093,"about_ca_system_score_gemma":0.000008085104,"threshold_uncertainty_score":0.540325},"labels":[],"label_agreement":null},{"id":"W3007938495","doi":"10.1029/2019wr026374","title":"Faro Waste Rock Project: Characterizing Variably Saturated Flow Behavior Through Full‐Scale Waste‐Rock Dumps in the Continental Subarctic Region of Northern Canada Using Field Measurements and Stable Isotopes of Water","year":2020,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Groundwater flow and contamination studies","field":"Environmental Science","cited_by":29,"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; Aboriginal Affairs Northern Dev Canada; University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Snowmelt; Geology; Environmental science; Ponding; Hydrology (agriculture); Surface runoff; Subarctic climate; Groundwater; Pore water pressure; Surface water; Drainage; Snow; Geomorphology; Geotechnical engineering; Environmental engineering; Oceanography; Ecology","score_opus":0.06938505836244213,"score_gpt":0.27266687671254997,"score_spread":0.20328181835010783,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3007938495","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9981095,0.000041786985,0.000109830544,0.00096696673,0.000031463478,0.00064823707,0.000008527689,0.000007928287,0.00007571327],"genre_scores_gemma":[0.999467,0.000008717049,0.000050804712,0.000090868256,0.000034868335,0.000052789663,0.000013582514,0.000018579982,0.00026274897],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9974037,0.00036200744,0.0003936588,0.00035372123,0.0009671215,0.0005197822],"domain_scores_gemma":[0.9995427,0.000053919848,0.00006247207,0.00020454879,0.000083881605,0.00005249407],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00053954654,0.00016647468,0.00027278365,0.000054068783,0.00025585937,0.00007199374,0.0003491612,0.000060616312,0.000056606747],"category_scores_gemma":[0.000028656854,0.00009430852,0.000035987454,0.0002522167,0.000088767876,0.00024216287,0.00047746423,0.0002673785,0.000005548621],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024331256,0.00008273966,0.32157913,0.00013567378,0.000033441673,0.000035435365,0.056967683,0.00033669724,0.6198339,1.8374402e-7,0.00013496872,0.0006168694],"study_design_scores_gemma":[0.0017122494,0.0006270601,0.051560763,0.0001731085,0.00006763609,0.000037495814,0.03597216,0.00848756,0.89351976,0.000006644498,0.0073874346,0.0004480999],"about_ca_topic_score_codex":0.2914408,"about_ca_topic_score_gemma":0.13631622,"teacher_disagreement_score":0.27368593,"about_ca_system_score_codex":0.00015090327,"about_ca_system_score_gemma":0.000025857493,"threshold_uncertainty_score":0.87944376},"labels":[],"label_agreement":null},{"id":"W3008350115","doi":"10.1029/2019wr026640","title":"Ephemeral Ponds: Are They the Dominant Source of Depression‐Focused Groundwater Recharge?","year":2020,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Groundwater and Isotope Geochemistry","field":"Earth and Planetary Sciences","cited_by":43,"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 Saskatchewan; University of Alberta","funders":"Global Institute for Water Security, University of Saskatchewan; University of Saskatchewan","keywords":"Groundwater recharge; Depression-focused recharge; Aquifer; Hydrology (agriculture); Groundwater; Infiltration (HVAC); Surface runoff; Geology; Environmental science; Wetland; Ephemeral key; Snowmelt; Geomorphology; Geography; Ecology; Snow","score_opus":0.05249850600380362,"score_gpt":0.26626850533762475,"score_spread":0.21376999933382113,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3008350115","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9904252,0.0004000226,0.00004622219,0.0041480307,0.00006108287,0.0003250961,0.000023890227,0.00003796252,0.0045324904],"genre_scores_gemma":[0.9966111,0.000025936668,0.000055243407,0.00027994113,0.00033337745,0.000009429269,0.000060730876,0.000014107633,0.002610095],"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99659014,0.00053331483,0.00038868395,0.0005234501,0.0010871573,0.0008772847],"domain_scores_gemma":[0.99873704,0.00021097921,0.000070888294,0.0005382289,0.00015628943,0.00028657741],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0011413135,0.0002191379,0.00030406524,0.00009026524,0.00052936457,0.00022925118,0.0011927438,0.0001301173,0.0032435618],"category_scores_gemma":[0.00010593948,0.00010183287,0.00013665976,0.00026067923,0.00034966687,0.00017841056,0.00023175655,0.00067183963,0.00078274834],"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":[0.0019472765,0.00017987766,0.75384414,0.00048421594,0.00017642305,0.00014996853,0.06621818,0.0009472789,0.14503662,0.000008221984,0.009729736,0.021278057],"study_design_scores_gemma":[0.001618239,0.00069303985,0.05968548,0.00015336789,0.000033930086,0.000047789115,0.007116501,0.004938315,0.53056735,0.0010755287,0.39340347,0.00066700566],"about_ca_topic_score_codex":0.004140551,"about_ca_topic_score_gemma":0.0003812211,"teacher_disagreement_score":0.6941587,"about_ca_system_score_codex":0.000007111016,"about_ca_system_score_gemma":0.000020336252,"threshold_uncertainty_score":0.99999523},"labels":[],"label_agreement":null},{"id":"W3008830227","doi":"10.1029/2019wr026217","title":"Density Effects at a Concordant Bed Natural River Confluence","year":2020,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Sediment Transport Processes","field":"Environmental Science","cited_by":57,"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":"Division of Earth Sciences; Deutsche Forschungsgemeinschaft; National Science Foundation","keywords":"Confluence; Froude number; Mechanics; Mixing (physics); Flow (mathematics); Secondary flow; Free surface; Mixing patterns; Geometry; Geology; Physics; Turbulence; Mathematics","score_opus":0.0229906705154772,"score_gpt":0.2736753829046656,"score_spread":0.2506847123891884,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3008830227","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9956427,0.000121896635,0.000016231703,0.002131545,0.000038497714,0.00029377258,0.0000020248378,0.00006209705,0.0016912103],"genre_scores_gemma":[0.99714786,0.0000143042,0.00005326475,0.0012801741,0.000051261224,0.00002197442,0.0000111516865,0.000013060107,0.0014069595],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.997691,0.0002457728,0.00015267749,0.00050668436,0.0007331875,0.00067071774],"domain_scores_gemma":[0.99936044,0.00013516344,0.000017117985,0.00019649386,0.000021545098,0.00026925438],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004708256,0.00013848052,0.00017899653,0.00003238156,0.0004397804,0.00003177051,0.00048421603,0.00008683698,0.002377079],"category_scores_gemma":[0.00006573735,0.00009182032,0.000049512826,0.00020612493,0.0011537623,0.00014334124,0.0005351087,0.00048783672,0.0050571826],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007548073,0.00006697742,0.27955747,0.00012159722,0.000038708127,0.0007644963,0.02851522,0.00024833588,0.6864385,0.000010050342,0.0024628073,0.0010210086],"study_design_scores_gemma":[0.00093101506,0.00040090352,0.049634006,0.000018887815,0.000014606278,0.000019046718,0.000065262066,0.0014097589,0.7625446,0.00020517003,0.18447289,0.0002838911],"about_ca_topic_score_codex":0.00035280394,"about_ca_topic_score_gemma":0.000092875714,"teacher_disagreement_score":0.22992346,"about_ca_system_score_codex":0.00007715873,"about_ca_system_score_gemma":0.000005238297,"threshold_uncertainty_score":0.99853486},"labels":[],"label_agreement":null},{"id":"W3008915943","doi":"10.1029/2019wr026100","title":"Modeling the Fate of Pharmaceuticals in a Fourth‐Order River Under Competing Assumptions of Transient Storage","year":2020,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Pharmaceutical and Antibiotic Environmental Impacts","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":"University of Waterloo","funders":"Deutsche Forschungsgemeinschaft","keywords":"Biodegradation; Environmental science; Equifinality; Hydrology (agriculture); Photodegradation; Transient (computer programming); Degradation (telecommunications); Soil science; Chemistry; Geology; Ecology; Geotechnical engineering","score_opus":0.16505362587570355,"score_gpt":0.3822851964742661,"score_spread":0.21723157059856257,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3008915943","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9920534,0.000074037904,0.0013381423,0.004531675,0.000010397045,0.00029026,0.0000075877742,0.000008816613,0.0016856809],"genre_scores_gemma":[0.99927753,0.000076426375,0.0002813925,0.00025099286,0.000018507571,0.000003992707,0.000002121089,0.000014116889,0.00007489223],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9976503,0.0004214039,0.00033301522,0.00026893363,0.0008019709,0.0005243542],"domain_scores_gemma":[0.9994782,0.00012215039,0.000023684592,0.00016423734,0.000011458171,0.00020027386],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0010383703,0.000113344984,0.00018742822,0.000050603176,0.00011898091,0.000018768673,0.0004093887,0.000046568242,0.0012499125],"category_scores_gemma":[0.000040489904,0.00006616863,0.00006306475,0.00035801702,0.00088182115,0.00010268328,0.00046298458,0.0004670812,0.00015254614],"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":[0.00009693786,0.00019844776,0.00879576,0.000059741953,0.000019306926,0.000010483165,0.018180093,0.4388688,0.5328198,0.000011543052,0.000022207823,0.00091687555],"study_design_scores_gemma":[0.0011057291,0.00014618509,0.012820628,0.000088331995,0.000021818254,0.0000033489844,0.0025039285,0.8031549,0.17611691,0.0002455894,0.0035940746,0.00019857564],"about_ca_topic_score_codex":0.00044130036,"about_ca_topic_score_gemma":0.000020973122,"teacher_disagreement_score":0.3642861,"about_ca_system_score_codex":0.000063401676,"about_ca_system_score_gemma":0.0000045641104,"threshold_uncertainty_score":0.99966305},"labels":[],"label_agreement":null},{"id":"W3009131884","doi":"10.1029/2019wr026471","title":"Debates: Does Information Theory Provide a New Paradigm for Earth Science? Sharper Predictions Using Occam's Digital Razor","year":2020,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Computational Physics and Python Applications","field":"Computer 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 British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Occam's razor; Computer science; Simple (philosophy); Generality; Information theory; Theoretical computer science; Generalization; Lossless compression; occam; Algorithm; Mathematics; Data compression; Statistics","score_opus":0.05960006246354681,"score_gpt":0.325968415554035,"score_spread":0.2663683530904882,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3009131884","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06834919,0.000017071057,0.92088,0.008777027,0.00005492766,0.00093913916,0.000052495216,0.00015209883,0.00077804],"genre_scores_gemma":[0.98475915,0.000002057541,0.013809295,0.00047348905,0.00036461416,0.00012508743,0.000042406184,0.000013476278,0.00041044672],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99799454,0.000052906158,0.0002626285,0.00038311922,0.000798553,0.00050826644],"domain_scores_gemma":[0.9986882,0.00024166035,0.0000444704,0.00035849182,0.00033263292,0.00033452842],"candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0006557306,0.000114143404,0.0001095617,0.0002706981,0.00088479405,0.0022859217,0.0010428582,0.000034410663,0.000022490469],"category_scores_gemma":[0.00014977586,0.00007407512,0.00006761729,0.00096929906,0.00025506108,0.0026187093,0.0006090729,0.00019213477,0.00015074218],"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":[0.00040591814,0.00033492924,0.0006025874,0.0002981555,0.00015014116,0.0000053232384,0.14566782,0.08388227,0.023468612,0.4877734,0.009313313,0.24809755],"study_design_scores_gemma":[0.0002507068,0.000097131444,0.00012070016,0.000013439815,0.0000030037593,0.0000032383305,0.0001281332,0.55311185,0.0042279847,0.074915014,0.36699697,0.00013181561],"about_ca_topic_score_codex":0.000044947952,"about_ca_topic_score_gemma":0.0000018558387,"teacher_disagreement_score":0.9164099,"about_ca_system_score_codex":0.000050038878,"about_ca_system_score_gemma":0.00031713652,"threshold_uncertainty_score":0.9987498},"labels":[],"label_agreement":null},{"id":"W3013244260","doi":"10.1029/2019wr026020","title":"In Situ Estimates of Freezing/Melting Point Depression in Agricultural Soils Using Permittivity and Temperature Measurements","year":2020,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Soil Moisture and Remote Sensing","field":"Environmental Science","cited_by":35,"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 Guelph","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Space Agency; Canada First Research Excellence Fund","keywords":"Water content; Soil water; Soil science; Permittivity; Environmental science; Moisture; Materials science; Composite material; Geotechnical engineering; Geology; Dielectric; Optoelectronics","score_opus":0.06659830843546558,"score_gpt":0.31030238960701423,"score_spread":0.24370408117154865,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3013244260","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9953757,0.00013953191,0.0000011568951,0.00078493514,0.000015366475,0.00020304677,3.7507195e-7,0.000009536482,0.0034703792],"genre_scores_gemma":[0.999423,0.000005845378,0.0004434918,0.00004781192,0.000043827982,9.264621e-7,0.0000018105524,0.00000935082,0.000023891826],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.998062,0.0002679006,0.00022774156,0.00037037465,0.00063534727,0.0004366502],"domain_scores_gemma":[0.9996536,0.000069198104,0.00003079069,0.000116949275,0.000021866312,0.00010761783],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00086826173,0.00012429892,0.00020104831,0.00008457028,0.00013058384,0.000059169804,0.0001605108,0.00009979392,0.000020519008],"category_scores_gemma":[0.00018597902,0.000074035976,0.000028348395,0.0003461563,0.00019339779,0.00021095797,0.00052200037,0.0004458325,0.000010264701],"study_design_candidate":"bench_or_experimental","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":[0.000029032544,0.000021809405,0.28333494,0.000027157816,0.0000026403393,0.00002345165,0.009627885,0.0008398526,0.7048271,6.533153e-8,0.000027151524,0.0012389628],"study_design_scores_gemma":[0.0003145212,0.000030718184,0.5019978,0.00013565688,0.000001955815,0.000009703348,0.0010608674,0.002148579,0.49408245,0.000040567287,0.000078985075,0.000098170945],"about_ca_topic_score_codex":0.0029812525,"about_ca_topic_score_gemma":0.0014729737,"teacher_disagreement_score":0.21866287,"about_ca_system_score_codex":0.00011068684,"about_ca_system_score_gemma":0.0000040834893,"threshold_uncertainty_score":0.4506782},"labels":[],"label_agreement":null},{"id":"W3013434849","doi":"10.1029/2019wr026226","title":"Data Assimilation for Streamflow Forecasting Using Extreme Learning Machines and Multilayer Perceptrons","year":2020,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrological Forecasting Using AI","field":"Environmental Science","cited_by":102,"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; University of Waterloo; Université de Sherbrooke","funders":"","keywords":"Streamflow; Data assimilation; Artificial neural network; Perceptron; Computer science; State variable; Multilayer perceptron; Extreme learning machine; Testbed; Nonlinear system; Artificial intelligence; Machine learning; Meteorology; Drainage basin; Geography","score_opus":0.49395543428167216,"score_gpt":0.39091541686992737,"score_spread":0.10304001741174479,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3013434849","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99555564,0.000023658025,0.0019514796,0.0012364058,0.000017373199,0.00035014667,0.000029331759,0.00007274398,0.0007631987],"genre_scores_gemma":[0.9877414,0.0000027934318,0.011562091,0.00008229691,0.00017984908,0.000011080013,0.00007767563,0.000035673424,0.00030713185],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9975283,0.00030159642,0.00022468304,0.00071925565,0.00054196664,0.0006841583],"domain_scores_gemma":[0.9991636,0.00026928342,0.00003814249,0.00028185543,0.000024544172,0.00022255676],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014955061,0.00015340598,0.00016815844,0.00005632743,0.00084832264,0.00019437332,0.0005016158,0.000093042836,0.0006706264],"category_scores_gemma":[0.00093883515,0.00010681944,0.000031475847,0.00019459345,0.0003234928,0.0002763101,0.0017740404,0.00046282687,0.000063944644],"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":[0.00035748727,0.00008207679,0.22393735,0.00012934796,0.000035613513,0.000033251294,0.018008461,0.32163092,0.3240217,0.0000020580667,0.001123754,0.11063798],"study_design_scores_gemma":[0.0002655612,0.00015615273,0.0016506042,0.000018278855,0.000009155823,0.000008243056,0.0001316707,0.9597731,0.00063098886,0.00005948987,0.03715675,0.00013998819],"about_ca_topic_score_codex":0.00034598605,"about_ca_topic_score_gemma":0.00006308532,"teacher_disagreement_score":0.6381422,"about_ca_system_score_codex":0.000067279216,"about_ca_system_score_gemma":0.000004481465,"threshold_uncertainty_score":0.7342889},"labels":[],"label_agreement":null},{"id":"W3014625369","doi":"10.1029/2020wr027517","title":"Grain Size‐Specific Engelund‐Hansen Type Relation for Bed Material Load in Sand‐Bed Rivers, With Application to the Mississippi River","year":2020,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Sediment Transport Processes","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 British Columbia","funders":"Ministry of Science and Technology of the People's Republic of China; Ministry of Education of the People's Republic of China; National Natural Science Foundation of China","keywords":"River bed; Bed load; Hydrology (agriculture); Geology; Grain size; Environmental science; Geotechnical engineering; Geomorphology; Sediment; Sediment transport","score_opus":0.027809685439251334,"score_gpt":0.2700693332432718,"score_spread":0.24225964780402048,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3014625369","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9884124,0.000030273679,0.000350891,0.009295807,0.000025321082,0.0009954763,0.000014176163,0.000029838156,0.00084585533],"genre_scores_gemma":[0.99851996,0.000015831936,0.00044498435,0.00028047044,0.00010068266,0.00014691641,0.000048784164,0.00001687038,0.0004254975],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.99829674,0.00015825614,0.00017160294,0.00042803047,0.0005316429,0.0004137314],"domain_scores_gemma":[0.9995146,0.000101612044,0.000021532693,0.00020258511,0.00003201252,0.00012769262],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00082600943,0.00011304915,0.00012324433,0.000039667997,0.0002733973,0.000047703634,0.00038621036,0.00009474207,0.0010936656],"category_scores_gemma":[0.000041637843,0.00006639506,0.000022174454,0.00038776835,0.0002619003,0.000115583796,0.00009240442,0.00021645943,0.0006478196],"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":[0.016614376,0.00028613367,0.11082556,0.00015410811,0.0000730406,0.000052652198,0.15370157,0.0115151815,0.6766604,0.00005289481,0.0149853835,0.015078646],"study_design_scores_gemma":[0.001207208,0.00064506056,0.023250714,0.000017618015,0.000011598585,0.0000017619861,0.00029018644,0.0009621707,0.08530981,0.00045497724,0.8876264,0.00022249919],"about_ca_topic_score_codex":0.0002662084,"about_ca_topic_score_gemma":0.00017774878,"teacher_disagreement_score":0.872641,"about_ca_system_score_codex":0.00009449495,"about_ca_system_score_gemma":0.000011813527,"threshold_uncertainty_score":0.99981946},"labels":[],"label_agreement":null},{"id":"W3015000011","doi":"10.1029/2019wr026004","title":"Hyper‐Resolution Continental‐Scale 3‐D Aquifer Parameterization for Groundwater Modeling","year":2020,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":47,"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":"Office of Science; Advanced Scientific Computing Research; U.S. Department of Energy","keywords":"Aquifer; Hydrogeology; Groundwater; Groundwater flow; Groundwater model; Geology; Hydrology (agriculture); Scale (ratio); Water cycle; Aquifer properties; Environmental science; Groundwater recharge; Geotechnical engineering; Geography; Cartography","score_opus":0.07502973484197994,"score_gpt":0.2977792128710727,"score_spread":0.22274947802909273,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3015000011","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97878766,0.000023597502,0.009679259,0.0074934834,0.000046295914,0.00062207354,0.000003639806,0.00007051374,0.003273454],"genre_scores_gemma":[0.99674875,0.000018163466,0.0005129765,0.0006630706,0.00012878937,0.00016968956,0.00004910187,0.000023684172,0.0016858019],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99800175,0.00017886105,0.00021628666,0.00048156065,0.00044146605,0.00068008923],"domain_scores_gemma":[0.99962723,0.000038365113,0.000017085795,0.00017465804,0.000023432705,0.0001192499],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00072800077,0.00013621544,0.00016747776,0.00006139858,0.0005745902,0.00008842723,0.00030903373,0.000082393475,0.00062264845],"category_scores_gemma":[0.00003958261,0.00009447485,0.000064712345,0.00015137224,0.00027893097,0.00022279528,0.0006862858,0.00018350044,0.0010212272],"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":[0.0035220732,0.0007115673,0.13360456,0.00047398597,0.00031297104,0.00004016525,0.10269498,0.36918464,0.34978944,0.0001412971,0.03206048,0.0074638315],"study_design_scores_gemma":[0.001093364,0.0005746375,0.0008693345,0.00001337059,0.000026902591,0.000002043263,0.00076742074,0.7235822,0.015433546,0.0011978407,0.25610667,0.0003326406],"about_ca_topic_score_codex":0.00022171195,"about_ca_topic_score_gemma":0.000030264624,"teacher_disagreement_score":0.35439757,"about_ca_system_score_codex":0.00006249234,"about_ca_system_score_gemma":0.0000011430988,"threshold_uncertainty_score":0.9997566},"labels":[],"label_agreement":null},{"id":"W3016837614","doi":"10.1029/2019wr027042","title":"Dynamics of Viscous Fingering in Porous Media in the Presence of In Situ Formed Precipitates and Their Subsequent Deposition","year":2020,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Enhanced Oil Recovery Techniques","field":"Engineering","cited_by":12,"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 Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Viscous fingering; Porous medium; Vorticity; Permeability (electromagnetism); Mechanics; Porosity; Deposition (geology); Materials science; Viscosity; Vortex; Stream function; Enhanced oil recovery; Boundary value problem; Geology; Chemistry; Petroleum engineering; Composite material; Physics","score_opus":0.026016349878585972,"score_gpt":0.2718812230251355,"score_spread":0.24586487314654953,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3016837614","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99814856,0.00036357224,0.00023769477,0.0002276598,0.000007610414,0.00032787805,0.000006700509,0.000027127257,0.00065320183],"genre_scores_gemma":[0.99935865,0.0002928478,0.00023625662,0.000005199298,0.000010092548,0.00006718325,0.000009393508,0.000017926284,0.0000024387698],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9987491,0.00017583372,0.00031220415,0.00015575574,0.000281811,0.0003253459],"domain_scores_gemma":[0.99934524,0.00041838843,0.000018992268,0.00015351543,0.00003203484,0.000031827665],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00085739256,0.000097156546,0.00019552968,0.00028239933,0.000013876816,0.00002381597,0.00030165294,0.00007137415,0.0000028723737],"category_scores_gemma":[0.00014238559,0.000064225846,0.000018838384,0.0003697446,0.00010432266,0.00012724692,0.0001279466,0.00038805563,5.4266144e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018785059,0.00007019226,0.029704466,0.001053361,0.000013589563,0.000059225455,0.20047429,0.015380275,0.73860306,0.00005017064,0.000010153426,0.014393392],"study_design_scores_gemma":[0.00034216046,0.00019624451,0.025234045,0.00045939145,0.0000012376445,0.0000052148926,0.0039368463,0.071757,0.89579254,0.002116493,0.00002236516,0.00013646901],"about_ca_topic_score_codex":0.00050801755,"about_ca_topic_score_gemma":0.00795063,"teacher_disagreement_score":0.19653745,"about_ca_system_score_codex":0.00009987019,"about_ca_system_score_gemma":0.000006550219,"threshold_uncertainty_score":0.44366384},"labels":[],"label_agreement":null},{"id":"W3016945328","doi":"10.1029/2019wr026913","title":"Repeated Subsurface Thermal Profiling to Reveal Temporal Variability in Deep Groundwater Flow Conditions","year":2020,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Groundwater and Isotope Geochemistry","field":"Earth and Planetary Sciences","cited_by":30,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"Canada Excellence Research Chairs, Government of Canada; Canada Research Chairs","keywords":"Aquifer; Hydrogeology; Groundwater; Groundwater flow; Geology; Borehole; Groundwater discharge; Groundwater model; Hydrology (agriculture); Subsurface flow; Sedimentary rock; Environmental science; Soil science; Geochemistry; Paleontology; Geotechnical engineering","score_opus":0.04356801229920695,"score_gpt":0.28121606112316666,"score_spread":0.2376480488239597,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3016945328","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9873484,0.000027003516,0.00007257699,0.0033288884,0.000049718266,0.00058211654,0.000052990195,0.00007537074,0.008462966],"genre_scores_gemma":[0.9975943,0.0000014354368,0.0006609341,0.00029024974,0.00018576255,0.00001763364,0.0005297686,0.000011367342,0.0007085234],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99628067,0.0008253529,0.0004132622,0.0007166205,0.0007201889,0.0010439346],"domain_scores_gemma":[0.9988478,0.00015047284,0.000020967469,0.00038345152,0.0001326243,0.00046470054],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0024508724,0.0002030971,0.0002662905,0.00013180735,0.00032800363,0.00028178364,0.0005965917,0.00013452434,0.0034801809],"category_scores_gemma":[0.00015789308,0.00013943175,0.00006703706,0.00068651285,0.00019076173,0.00024315769,0.00013667121,0.00068168505,0.0013527648],"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":[0.00031757433,0.00006215866,0.9379121,0.00012579584,0.000021061063,0.00016633356,0.014566763,0.0077732503,0.035971988,0.0000014386306,0.00034848528,0.0027330427],"study_design_scores_gemma":[0.001780257,0.0010458666,0.66825867,0.00009925759,0.000017273987,0.000040953586,0.0037792067,0.072596006,0.21516256,0.0010347323,0.034970343,0.0012148458],"about_ca_topic_score_codex":0.0065814657,"about_ca_topic_score_gemma":0.0011225288,"teacher_disagreement_score":0.2696534,"about_ca_system_score_codex":0.000024069324,"about_ca_system_score_gemma":0.000033034474,"threshold_uncertainty_score":0.9994248},"labels":[],"label_agreement":null},{"id":"W3021013210","doi":"10.1029/2020wr027684","title":"Thank You to Our 2019 Reviewers","year":2020,"lang":"en","type":"article","venue":"Water Resources Research","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":"Canmore Museum and Geoscience Centre; University of Saskatchewan","funders":"","keywords":"Library science; Computer science","score_opus":0.06452244656648422,"score_gpt":0.32714857088928784,"score_spread":0.26262612432280363,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3021013210","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8152784,0.0001455648,0.00004352279,0.1282807,0.000076768236,0.00063320633,0.0000036923618,0.00007520072,0.05546293],"genre_scores_gemma":[0.9749735,0.00011268072,0.00013830491,0.0038646073,0.00014891056,0.00005398734,0.00000501323,0.000017455906,0.020685546],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99771696,0.00026818732,0.0001619716,0.00047654193,0.0006524718,0.00072388334],"domain_scores_gemma":[0.9994158,0.000018522149,0.000011675161,0.00028315248,0.000012693576,0.00025813864],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0011377858,0.0001237572,0.00017098118,0.00006506957,0.00034465294,0.000049878967,0.00061019644,0.000039134167,0.001354926],"category_scores_gemma":[0.0000936554,0.000078749246,0.000050521387,0.00032310185,0.00013902623,0.000097805154,0.0018591982,0.00028456104,0.037671283],"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":[0.00026962464,0.00006480302,0.07052155,0.00008087096,0.000070542315,0.00012102953,0.031792894,0.0015005454,0.008921855,0.000024084375,0.87930757,0.007324612],"study_design_scores_gemma":[0.00014045012,0.00017071284,0.0039334,0.000009298189,0.0000054554675,7.48195e-7,0.0005656027,0.00005708994,0.0031657296,0.0001097869,0.9917154,0.00012634134],"about_ca_topic_score_codex":0.00030620885,"about_ca_topic_score_gemma":0.000021704032,"teacher_disagreement_score":0.15969507,"about_ca_system_score_codex":0.000049325256,"about_ca_system_score_gemma":0.0000012334675,"threshold_uncertainty_score":0.999558},"labels":[],"label_agreement":null},{"id":"W3021390446","doi":"10.1029/2020wr027178","title":"Origin of Groundwater Arsenic in a Rural Pleistocene Aquifer in Bangladesh Depressurized by Distal Municipal Pumping","year":2020,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Arsenic contamination and mitigation","field":"Environmental Science","cited_by":47,"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; University of Toronto","funders":"National Institute of Environmental Health Sciences; National Science Foundation","keywords":"Aquifer; Groundwater; Geology; Groundwater flow; Groundwater discharge; Artesian aquifer; Pleistocene; Geochemistry; Hydrology (agriculture); Geotechnical engineering; Paleontology","score_opus":0.038887035220637405,"score_gpt":0.2975858600112478,"score_spread":0.2586988247906104,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3021390446","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9955936,0.00003507443,0.00003923641,0.0011537243,0.000014475493,0.0003587476,0.0000052329647,0.000016214703,0.0027836917],"genre_scores_gemma":[0.9985147,0.000010762718,0.000041801315,0.000073902476,0.000020357067,0.00004691488,0.000042402487,0.000016515114,0.0012326333],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9977928,0.00038741477,0.00035822645,0.0003117928,0.00062329666,0.0005265055],"domain_scores_gemma":[0.999569,0.00007099108,0.000031841348,0.00018750882,0.000012398534,0.00012825917],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007795705,0.00011647683,0.00019681576,0.0001237977,0.00007970614,0.00004182054,0.00036451773,0.00007847282,0.0017339049],"category_scores_gemma":[0.00005591541,0.000091609516,0.00004529788,0.00039671466,0.0002929348,0.00020901187,0.00047230997,0.0003621091,0.00017609548],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00088200934,0.00035618286,0.25909224,0.00008529634,0.0000192259,0.00009026951,0.09039039,0.00047428062,0.6328128,0.000044978508,0.00069156813,0.015060749],"study_design_scores_gemma":[0.0112237325,0.0010123244,0.29250762,0.00028202424,0.000018349498,0.00001631044,0.013308755,0.08794661,0.33929828,0.00053537183,0.2526556,0.0011950431],"about_ca_topic_score_codex":0.007784137,"about_ca_topic_score_gemma":0.0029431842,"teacher_disagreement_score":0.29351452,"about_ca_system_score_codex":0.00019130217,"about_ca_system_score_gemma":0.000005685789,"threshold_uncertainty_score":0.99917865},"labels":[],"label_agreement":null},{"id":"W3026177676","doi":"10.1029/2019wr026466","title":"Curbing the Summer Surge: Permanent Outdoor Water Use Restrictions in Humid and Semiarid Cities","year":2020,"lang":"en","type":"article","venue":"Water Resources Research","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":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Environmental science; Water scarcity; Per capita; Water use; Vulnerability (computing); Water resource management; Water supply; Economic shortage; Sustainability; Natural resource economics; Geography; Agricultural economics; Environmental engineering; Economics; Agriculture; Population; Ecology","score_opus":0.08387727326363324,"score_gpt":0.272805123582694,"score_spread":0.18892785031906073,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3026177676","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9928709,0.00017594133,0.00005884151,0.0033477487,0.000055325178,0.00039522545,0.000003688846,0.00015117119,0.0029411044],"genre_scores_gemma":[0.99691963,0.00023698989,0.000036535424,0.00011986887,0.00016347003,0.00006682102,0.00004700043,0.000053300435,0.0023563788],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.99803245,0.00021655446,0.00027538883,0.00029551773,0.00047138185,0.0007087258],"domain_scores_gemma":[0.9994865,0.000086138476,0.0000091211605,0.00025083538,0.0000424204,0.00012497457],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006037949,0.00017851607,0.00016672532,0.0002762712,0.00030747344,0.000535297,0.00029674586,0.00007944405,0.00013375869],"category_scores_gemma":[0.000031394044,0.0001007446,0.000043063894,0.00030801128,0.00015465144,0.00030277003,0.00048333322,0.000569566,0.00012992637],"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":[0.00026076243,0.00008524446,0.21940562,0.0007704857,0.00022511574,0.0002618568,0.24042723,0.48096198,0.015733235,0.00010553932,0.039722033,0.0020408945],"study_design_scores_gemma":[0.00071971264,0.00007772998,0.00778735,0.00006257607,0.000022417487,0.0000060099683,0.0026472448,0.12005317,0.014153569,0.00009978579,0.85391974,0.0004507046],"about_ca_topic_score_codex":0.000541644,"about_ca_topic_score_gemma":0.000116397314,"teacher_disagreement_score":0.8141977,"about_ca_system_score_codex":0.000060429367,"about_ca_system_score_gemma":0.0000021552016,"threshold_uncertainty_score":0.5161881},"labels":[],"label_agreement":null},{"id":"W3034048512","doi":"10.1029/2020wr027261","title":"Measuring Aquifer Specific Yields With Absolute Gravimetry: Result in the Choushui River Alluvial Fan and Mingchu Basin, Central Taiwan","year":2020,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Groundwater flow and contamination studies","field":"Environmental Science","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Geomechanica (Canada)","funders":"Ministry of Science and Technology, Taiwan; National Natural Science Foundation of China","keywords":"Gravimeter; Aquifer; Geology; Groundwater; Gravimetry; Structural basin; Hydrology (agriculture); Alluvial fan; Groundwater recharge; Geomorphology; Geophysics; Geotechnical engineering","score_opus":0.0683069893654279,"score_gpt":0.25565150840110457,"score_spread":0.18734451903567667,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3034048512","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9877269,0.00009218477,0.00012427394,0.008425689,0.000020807742,0.00033158518,0.000004296945,0.000022335604,0.0032519207],"genre_scores_gemma":[0.9978259,0.000027439215,0.00008056376,0.00034354563,0.0001324274,0.000029898925,0.000005114142,0.000018177112,0.0015369393],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9969837,0.00039067247,0.00020565667,0.0004954541,0.0011515794,0.0007729138],"domain_scores_gemma":[0.9994926,0.0000668231,0.000021145874,0.00024263487,0.000023774242,0.00015302861],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010088463,0.00016428111,0.00017280804,0.00008510012,0.0004397582,0.0002512335,0.00048691474,0.000057867084,0.00023893313],"category_scores_gemma":[0.000027811442,0.00008886811,0.000033166834,0.00038446783,0.0005862141,0.00018294143,0.0005003518,0.00046748426,0.0002153727],"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":[0.0010854319,0.00019908838,0.49054345,0.00006241033,0.00008393767,0.0004702387,0.4415884,0.00017910571,0.025437009,0.000048045076,0.012146506,0.028156374],"study_design_scores_gemma":[0.0009284722,0.00027193708,0.51775223,0.000024170611,0.0000072578473,0.000012586272,0.005719551,0.0001787817,0.0038704583,0.00004241774,0.47096133,0.0002307784],"about_ca_topic_score_codex":0.0011580257,"about_ca_topic_score_gemma":0.00061316136,"teacher_disagreement_score":0.45881483,"about_ca_system_score_codex":0.00008558021,"about_ca_system_score_gemma":0.000004109183,"threshold_uncertainty_score":0.36239362},"labels":[],"label_agreement":null},{"id":"W3035652861","doi":"10.1029/2020wr027599","title":"A Modified Time Domain Random Walk Approach for Simulating Colloid Behavior in Fractures: Method Development and Verification","year":2020,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Groundwater flow and contamination 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":false,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Fracture (geology); Colloid; Aquifer; Matrix (chemical analysis); Multiscale modeling; Dispersity; Resilience (materials science); Materials science; Groundwater; Geology; Computer science; Geotechnical engineering; Mechanics; Statistical physics; Chemistry; Engineering; Physics; Chemical engineering; Composite material","score_opus":0.06175033739276187,"score_gpt":0.33347060604790574,"score_spread":0.27172026865514387,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3035652861","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95440084,0.00003272056,0.04326736,0.0004073547,0.000004847641,0.0010545503,0.0000030427238,0.00002174131,0.00080756703],"genre_scores_gemma":[0.9744875,0.0000015662092,0.023190446,0.00008531119,0.000026235419,0.0006924534,0.000031101205,0.000015798514,0.0014695979],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.9981077,0.00030052473,0.0002598089,0.00044069486,0.0004924508,0.00039884407],"domain_scores_gemma":[0.9995388,0.00018977521,0.000026422966,0.000118617005,0.000023956047,0.00010245489],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016453159,0.000121022356,0.0001962458,0.00008007673,0.0003619849,0.00010704877,0.0001990303,0.0000664826,0.00008461689],"category_scores_gemma":[0.000066358654,0.000085428874,0.000028902525,0.00019214941,0.000109960776,0.00010594617,0.000303465,0.00017293644,0.000051568957],"study_design_candidate":"bench_or_experimental","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":[0.002290646,0.00042142635,0.026755942,0.00020621787,0.00007422,0.000019001127,0.31354213,0.015217512,0.43520805,0.000025274145,0.000429383,0.20581019],"study_design_scores_gemma":[0.013695673,0.00055685075,0.091987684,0.000039931718,0.000039414805,0.000007420207,0.0100476565,0.30375522,0.15913917,0.0002689778,0.41937995,0.0010820633],"about_ca_topic_score_codex":0.00013020477,"about_ca_topic_score_gemma":0.000017916454,"teacher_disagreement_score":0.41895056,"about_ca_system_score_codex":0.00011167898,"about_ca_system_score_gemma":0.000005631755,"threshold_uncertainty_score":0.34836885},"labels":[],"label_agreement":null},{"id":"W3036102168","doi":"10.1029/2020wr027077","title":"Response of In‐Stream Wood to Riparian Timber Harvesting: Field Observations and Long‐Term Projections","year":2020,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Sediment Transport Processes","field":"Environmental Science","cited_by":20,"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 British Columbia","funders":"","keywords":"Riparian zone; Environmental science; Logging; Riparian forest; Hydrology (agriculture); STREAMS; Ecosystem; Forest management; Agroforestry; Habitat; Ecology; Forestry; Geography; Computer science; Geology","score_opus":0.08296789280117449,"score_gpt":0.31922815976754754,"score_spread":0.23626026696637303,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3036102168","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9859616,0.000014234081,0.000055501157,0.011810115,0.000008420771,0.0002783182,0.000005878504,0.000018858182,0.0018470827],"genre_scores_gemma":[0.9977627,0.000005378515,0.00019384493,0.00042740462,0.000016391306,0.000047219408,0.0000050059443,0.0000080288755,0.0015340485],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986218,0.00020351751,0.00019164303,0.0002959652,0.0003621562,0.00032490672],"domain_scores_gemma":[0.9994814,0.00017828376,0.000013889847,0.00014544396,0.000022226252,0.00015879511],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008900912,0.00007712248,0.0001141021,0.00009995874,0.00015729418,0.000029299455,0.00021871453,0.000073644595,0.0009145596],"category_scores_gemma":[0.00029084817,0.00005913153,0.000018017763,0.00046600873,0.00019605907,0.00014099479,0.0001913727,0.00025104533,0.00008801388],"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":[0.000761646,0.00010811777,0.9344426,0.000041068135,0.000009150645,0.00003404614,0.021880208,0.0010697247,0.040340506,0.0000044570083,0.0007047791,0.0006036907],"study_design_scores_gemma":[0.0004974464,0.0008413526,0.904083,0.000042323838,0.0000069656376,0.000005213944,0.00026341164,0.00041523445,0.052208092,0.00006731507,0.04141833,0.00015130152],"about_ca_topic_score_codex":0.0006053274,"about_ca_topic_score_gemma":0.00084589695,"teacher_disagreement_score":0.040713552,"about_ca_system_score_codex":0.000025780084,"about_ca_system_score_gemma":0.000013946696,"threshold_uncertainty_score":0.99999875},"labels":[],"label_agreement":null},{"id":"W3037030378","doi":"10.1029/2020wr027097","title":"NAC<sup>2</sup>H: The North American Climate Change and Hydroclimatology Data Set","year":2020,"lang":"en","type":"article","venue":"Water Resources Research","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":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure; Université du Québec à Montréal","funders":"National Key Research and Development Program of China; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Hydrometeorology; Streamflow; Environmental science; Climate change; Precipitation; Data set; Calibration; Climatology; Drainage basin; Climate model; Hydrological modelling; Meteorology; Hydrology (agriculture); Statistics; Mathematics; Geology; Geography","score_opus":0.1271340172195135,"score_gpt":0.32206306934509804,"score_spread":0.19492905212558453,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3037030378","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.950972,0.00007696459,0.0000033207236,0.045467887,0.000010580722,0.00038999692,0.00003976309,0.000047690522,0.0029917632],"genre_scores_gemma":[0.9961871,0.0005749775,0.000034322286,0.0027974849,0.000110241905,0.00007235821,0.00006318854,0.000018349372,0.00014198488],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99722284,0.00050676434,0.0001786786,0.0006833083,0.00045928132,0.0009491442],"domain_scores_gemma":[0.99902785,0.00012330755,0.000029565586,0.0006514922,0.0000074566465,0.00016035735],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0010035431,0.00015937569,0.00022067643,0.00005259297,0.00085769355,0.00007654212,0.0012264517,0.000037088856,0.00030758083],"category_scores_gemma":[0.000054948312,0.00008733645,0.000022358945,0.00035268898,0.0021074435,0.00021041938,0.0077874074,0.0004241444,0.0017550272],"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":[0.00016174941,0.0000322481,0.9371885,0.000048438207,0.0000640295,0.00010518343,0.04578437,0.00024962475,0.000058687077,0.000015258689,0.011545952,0.0047459365],"study_design_scores_gemma":[0.00043588568,0.00040241805,0.0972447,0.0000066833945,0.000032967782,0.0000169296,0.0035455602,0.027091848,0.00010348263,0.000101983,0.8707197,0.00029787878],"about_ca_topic_score_codex":0.00094865705,"about_ca_topic_score_gemma":0.00049843424,"teacher_disagreement_score":0.8591737,"about_ca_system_score_codex":0.000019099185,"about_ca_system_score_gemma":0.0000010770568,"threshold_uncertainty_score":0.99902225},"labels":[],"label_agreement":null},{"id":"W3037965888","doi":"10.1029/2019wr025790","title":"Seasonal Turbidity Linked to Physical Dynamics in a Deep Lake Following the Catastrophic 2014 Mount Polley Mine Tailings Spill","year":2020,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Tailings Management and Properties","field":"Engineering","cited_by":28,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Pacific Salmon Commission; Fisheries and Oceans Canada; University of Northern British Columbia; University of Alberta; University of British Columbia","funders":"","keywords":"Seiche; Hypolimnion; Turbidity; Environmental science; Water column; Hydrology (agriculture); Tailings; Epilimnion; Turbidity current; Geology; Oceanography; Structural basin; Ecology; Eutrophication; Geomorphology","score_opus":0.02933619056383821,"score_gpt":0.26300025103701474,"score_spread":0.23366406047317653,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3037965888","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99180776,0.00020070259,0.00009534213,0.006343836,0.00006852569,0.00045237868,0.000013449318,0.00013373475,0.00088426494],"genre_scores_gemma":[0.9987551,0.000014888687,0.00009031112,0.00014966144,0.00042816656,0.00006915434,0.0000458146,0.00005198565,0.0003948919],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9977758,0.00014616545,0.00021667295,0.0003434173,0.00072119024,0.00079676375],"domain_scores_gemma":[0.99936646,0.000080805745,0.00001054112,0.0002948047,0.00005152577,0.00019587482],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007014893,0.00019950961,0.00024294322,0.0001699456,0.00017569924,0.00023332643,0.0006847627,0.00006451117,0.00006325346],"category_scores_gemma":[0.0001013186,0.00012637647,0.00010917522,0.00044092498,0.00008250142,0.000097219985,0.0005175818,0.00076073234,0.00047250884],"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":[0.0022796395,0.00043399003,0.066493586,0.0022806819,0.0009890592,0.0010831278,0.23429732,0.4871657,0.149915,0.0008224118,0.01926357,0.034975935],"study_design_scores_gemma":[0.00067446363,0.0002325091,0.0029363288,0.00007070028,0.000018983601,0.0000014838035,0.002030612,0.8479341,0.0025543792,0.00017285973,0.14297669,0.0003968774],"about_ca_topic_score_codex":0.00041636205,"about_ca_topic_score_gemma":0.0014561984,"teacher_disagreement_score":0.36076844,"about_ca_system_score_codex":0.0001856738,"about_ca_system_score_gemma":0.000008375173,"threshold_uncertainty_score":0.60733026},"labels":[],"label_agreement":null},{"id":"W3039558631","doi":"10.1029/2019wr025975","title":"A Brief Analysis of Conceptual Model Structure Uncertainty Using 36 Models and 559 Catchments","year":2020,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":203,"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":"Engineering and Physical Sciences Research Council; University of Melbourne","keywords":"Equifinality; Streamflow; Parametrization (atmospheric modeling); Overfitting; Benchmark (surveying); Conceptual model; Model selection; Computer science; Calibration; Econometrics; Environmental science; Hydrology (agriculture); Drainage basin; Mathematics; Statistics; Geology; Machine learning; Geography; Artificial intelligence","score_opus":0.09229028660576971,"score_gpt":0.3228784008169431,"score_spread":0.23058811421117337,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3039558631","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9966523,0.000043075644,0.0007408405,0.0007988192,0.000005359085,0.00018529996,0.000034051365,0.000013754386,0.0015264661],"genre_scores_gemma":[0.99909365,0.000019934754,0.00027621005,0.000269458,0.000012955654,0.0000054922752,0.000014489051,0.000008769918,0.000299056],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99818575,0.00017942843,0.00019421513,0.00042944332,0.0005572095,0.00045394548],"domain_scores_gemma":[0.9995977,0.0000314621,0.000030353409,0.0001919954,0.000019170055,0.00012927796],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036019887,0.00012361303,0.00027516548,0.00012974048,0.00027325875,0.000025553427,0.00028902947,0.0000698532,0.0003824423],"category_scores_gemma":[0.000015668777,0.000084736064,0.000055030847,0.0004830178,0.0013273037,0.00014229114,0.0011656106,0.00021176809,0.000008632688],"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":[0.00013205284,0.000017323773,0.018668223,0.000015666901,0.00036069896,0.0000070207475,0.04337783,0.9267599,0.010282981,0.000045405137,0.00021461764,0.00011830932],"study_design_scores_gemma":[0.00029231235,0.00007207203,0.0010973435,0.000003532798,0.00015170786,3.2611715e-7,0.0013574059,0.9925339,0.0017612962,0.0012881095,0.0013273847,0.0001145596],"about_ca_topic_score_codex":0.0015206216,"about_ca_topic_score_gemma":0.00011163749,"teacher_disagreement_score":0.065774076,"about_ca_system_score_codex":0.000049929287,"about_ca_system_score_gemma":0.000002957678,"threshold_uncertainty_score":0.48905057},"labels":[],"label_agreement":null},{"id":"W3039797529","doi":"10.1029/2019wr026817","title":"Advective Lateral Transport of Streamwise Momentum Governs Mixing at Small River Confluences","year":2020,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Sediment Transport Processes","field":"Environmental Science","cited_by":40,"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":"Deutsche Forschungsgemeinschaft; National Science Foundation","keywords":"Advection; Confluence; Momentum (technical analysis); Mixing (physics); Momentum diffusion; Tributary; Mechanics; Turbulence; Geology; Physics; Flow (mathematics); Geometry; Mathematics; Thermodynamics; Geography","score_opus":0.03820596085994144,"score_gpt":0.2678659577962623,"score_spread":0.2296599969363209,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3039797529","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99054843,0.00006637191,0.000016099031,0.0011707685,0.000022444832,0.00025532977,0.000022695502,0.000033921737,0.007863966],"genre_scores_gemma":[0.99691004,0.000033977132,0.000042571035,0.00013346919,0.00003502108,0.000022738492,0.000024436822,0.000016251777,0.0027815143],"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9977391,0.00014387067,0.0002801459,0.00049162644,0.00073238666,0.00061288744],"domain_scores_gemma":[0.99948144,0.00005200823,0.000038546328,0.00017448163,0.000025895128,0.0002276009],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00045250048,0.0001579562,0.00023127552,0.000049519607,0.00023821041,0.000012220192,0.00050443865,0.00010671651,0.0064767986],"category_scores_gemma":[0.000012998855,0.00011129245,0.00007669881,0.00022992783,0.0010127889,0.00016601078,0.00020009698,0.00031486092,0.0005191756],"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":[0.000689103,0.00012904522,0.8662538,0.00011094959,0.0000674018,0.00014073511,0.0663284,0.0025558698,0.06313112,0.000008392205,0.00022292284,0.00036226845],"study_design_scores_gemma":[0.002081915,0.0014761909,0.26804638,0.00007645344,0.00006443872,0.00001014881,0.0011979938,0.0018093355,0.51957625,0.00061195594,0.20439817,0.0006507758],"about_ca_topic_score_codex":0.0012670922,"about_ca_topic_score_gemma":0.000302632,"teacher_disagreement_score":0.5982074,"about_ca_system_score_codex":0.00007386952,"about_ca_system_score_gemma":0.00000809396,"threshold_uncertainty_score":0.99443144},"labels":[],"label_agreement":null},{"id":"W3042333930","doi":"10.1029/2020wr027638","title":"A Semianalytical Interface Model of Soil Freeze/Thaw and Permafrost Evolution","year":2020,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","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","funders":"Polar Knowledge Canada","keywords":"Permafrost; Active layer; Infiltration (HVAC); Non-equilibrium thermodynamics; Soil science; Soil water; Boundary value problem; Geology; Porous medium; Heat transfer; Geotechnical engineering; Porosity; Mechanics; Environmental science; Geomorphology; Materials science; Thermodynamics; Layer (electronics); Physics","score_opus":0.11961179173013986,"score_gpt":0.31089663411893365,"score_spread":0.19128484238879379,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3042333930","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9897441,0.00066910055,0.000091728216,0.0029650726,0.000017163096,0.00013008108,0.0022459829,0.000017631766,0.0041191145],"genre_scores_gemma":[0.9987971,0.000092875205,0.00002975331,0.00010874299,0.0001209478,0.0000011913502,0.0003642848,0.000006015863,0.00047908988],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9982974,0.00014713958,0.0002076692,0.00031498307,0.0005475031,0.00048531828],"domain_scores_gemma":[0.99933463,0.00010190717,0.00001960918,0.00016554941,0.00009046866,0.00028784966],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005278661,0.000111689806,0.00019161947,0.00012061133,0.0001601876,0.00009052956,0.00027175382,0.00008911903,0.0038550312],"category_scores_gemma":[0.000050109633,0.00007520566,0.000045929955,0.00019813106,0.0003531419,0.00013417179,0.00012468747,0.00034185132,0.0002968303],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00049290736,0.00003025633,0.88652796,0.00030988394,0.00003566929,0.000023139344,0.032112487,0.0103236595,0.06480374,0.000026316866,0.004119305,0.0011946674],"study_design_scores_gemma":[0.00049857335,0.0004347071,0.045098037,0.000056584573,0.000016069755,0.000012951073,0.0032462508,0.9317002,0.01118884,0.0005416168,0.006968755,0.00023738445],"about_ca_topic_score_codex":0.008122468,"about_ca_topic_score_gemma":0.0074719572,"teacher_disagreement_score":0.9213766,"about_ca_system_score_codex":0.000005638493,"about_ca_system_score_gemma":0.000017839007,"threshold_uncertainty_score":0.9984825},"labels":[],"label_agreement":null},{"id":"W3042705605","doi":"10.1029/2020wr027079","title":"Rough Correlations: Meta‐Analysis of Roughness Measures in Gravel Bed Rivers","year":2020,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Sediment Transport Processes","field":"Environmental Science","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":"University of British Columbia","funders":"China Postdoctoral Science Foundation; National Natural Science Foundation of China","keywords":"Flume; Hydraulic roughness; Surface finish; Open-channel flow; Geometry; Channel (broadcasting); Standard deviation; Flow (mathematics); Geotechnical engineering; Geology; Range (aeronautics); Flow resistance; Hydrology (agriculture); Soil science; Mathematics; Materials science; Statistics; Engineering","score_opus":0.11449775818756962,"score_gpt":0.3187212880471958,"score_spread":0.20422352985962616,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3042705605","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9928147,0.00038940916,0.00029525033,0.0023847762,0.000009039506,0.00021867963,0.000013214578,0.000021273177,0.0038536196],"genre_scores_gemma":[0.99933404,0.000042860316,0.000099723766,0.0001400251,0.000009376263,0.00003550287,0.00002779837,0.000008683346,0.00030201403],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99775106,0.00033327017,0.00029823414,0.0003863899,0.00082614046,0.0004049274],"domain_scores_gemma":[0.99950075,0.00012495056,0.00003134511,0.00020091074,0.000027169504,0.00011485677],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0010459877,0.000112577785,0.00041516122,0.00024444575,0.00013540097,0.000018498218,0.00046171283,0.000096142125,0.0052094096],"category_scores_gemma":[0.00004873423,0.00007721867,0.00019648531,0.0016591223,0.0004760627,0.0001729932,0.00015188435,0.00032380223,0.00022340934],"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":[0.00053252996,0.00043723456,0.5044574,0.00008017761,0.018032832,0.000101516656,0.086116284,0.37822345,0.010820425,0.00008269151,0.0002944248,0.00082100136],"study_design_scores_gemma":[0.004871889,0.0018001948,0.35892752,0.000037532493,0.06638342,0.0000057106986,0.00543159,0.11123448,0.20664531,0.005795759,0.2367125,0.0021540783],"about_ca_topic_score_codex":0.0017157287,"about_ca_topic_score_gemma":0.0008085483,"teacher_disagreement_score":0.26698896,"about_ca_system_score_codex":0.00003019499,"about_ca_system_score_gemma":0.0000063523353,"threshold_uncertainty_score":0.99569994},"labels":[],"label_agreement":null},{"id":"W3042769712","doi":"10.1029/2020wr027144","title":"What Is a Debris Flood?","year":2020,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Landslides and related hazards","field":"Environmental Science","cited_by":136,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"BGC Engineering (Canada); University of British Columbia","funders":"","keywords":"Debris; Debris flow; Geology; Flood myth; Tributary; Channel (broadcasting); Context (archaeology); Hydrology (agriculture); Natural hazard; STREAMS; Geotechnical engineering; Geomorphology; Geography; Engineering; Cartography","score_opus":0.039287853430428774,"score_gpt":0.29492357302559424,"score_spread":0.25563571959516546,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3042769712","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95947295,0.00029296812,0.000006971911,0.021317953,0.000059739938,0.00018007001,0.0000022426336,0.000048431728,0.01861864],"genre_scores_gemma":[0.98673093,0.00040471222,0.00006625617,0.0016526483,0.00015123299,0.000014639014,0.000004884846,0.000024181994,0.010950517],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99773794,0.0001461734,0.00014979127,0.00040864522,0.00091109483,0.00064635766],"domain_scores_gemma":[0.99936795,0.000028428447,0.000010895441,0.00025389847,0.000014324083,0.00032450847],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004971854,0.00010555336,0.00012018974,0.00003731954,0.0002790478,0.00033045153,0.0004887097,0.00010563761,0.016636116],"category_scores_gemma":[0.00001723753,0.000059321126,0.000066086446,0.000307558,0.00024942445,0.00028964406,0.00085973553,0.00045440823,0.015867267],"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":[0.000747555,0.0002752742,0.07144614,0.00013321347,0.00019121046,0.00071346265,0.30470306,0.001263736,0.14316058,0.000023265886,0.3448678,0.13247469],"study_design_scores_gemma":[0.0002721614,0.00014433649,0.0011753242,0.000016147686,0.000004193691,0.0000064783503,0.00092248636,0.0018172151,0.034650102,0.00019522746,0.96066517,0.00013114199],"about_ca_topic_score_codex":0.00035467392,"about_ca_topic_score_gemma":0.000015003302,"teacher_disagreement_score":0.6157974,"about_ca_system_score_codex":0.00005428013,"about_ca_system_score_gemma":0.0000034278175,"threshold_uncertainty_score":0.984899},"labels":[],"label_agreement":null},{"id":"W3043282123","doi":"10.1029/2020wr027785","title":"Recent Trends in Individual and Multivariate Compound Flood Drivers in Canada's Coasts","year":2020,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Flood Risk Assessment and Management","field":"Environmental Science","cited_by":60,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Flooding (psychology); Flood myth; Multivariate statistics; Storm surge; Univariate; Coastal flood; Environmental science; Population; Geography; Climatology; Climate change; Storm; Oceanography; Statistics; Meteorology; Geology; Mathematics; Sea level rise","score_opus":0.060776324822123265,"score_gpt":0.3061658983458737,"score_spread":0.24538957352375046,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3043282123","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9896378,0.000032849897,0.0000013445211,0.004646538,0.000023100254,0.00019674005,0.0000072721064,0.000009078131,0.005445277],"genre_scores_gemma":[0.999191,0.00007140799,0.00008968726,0.00019720153,0.000018255967,0.000020345611,0.00002229225,0.000011383522,0.0003784629],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9975999,0.00041357102,0.00019459633,0.0003614318,0.00083374087,0.0005967398],"domain_scores_gemma":[0.999611,0.000045691635,0.000015954683,0.0001353484,0.0000053505414,0.00018665146],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00078609335,0.000115465176,0.00014791805,0.00016314359,0.00012606401,0.00007718954,0.0003537274,0.000034668778,0.00092466123],"category_scores_gemma":[0.000015706582,0.000088385175,0.000012110905,0.0005148504,0.00012559468,0.00010524591,0.0011776986,0.00048039807,0.000052466952],"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":[0.00014349616,0.00015914586,0.8233204,0.000027819982,0.000027574619,0.00038739186,0.035641782,0.0038800926,0.0030507976,0.0000077363775,0.0076942416,0.12565953],"study_design_scores_gemma":[0.001384226,0.00012079718,0.7882487,0.000013047552,0.0000035869186,8.842668e-7,0.0030951526,0.0042087217,0.000867321,0.000036746264,0.2018503,0.00017048916],"about_ca_topic_score_codex":0.8778066,"about_ca_topic_score_gemma":0.9536096,"teacher_disagreement_score":0.19415607,"about_ca_system_score_codex":0.000511547,"about_ca_system_score_gemma":0.000020499921,"threshold_uncertainty_score":0.9999886},"labels":[],"label_agreement":null},{"id":"W3044896072","doi":"10.1029/2019wr026531","title":"A New Inverse Modeling Approach for Hydraulic Conductivity Estimation Based on Gaussian Mixtures","year":2020,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Groundwater flow and contamination studies","field":"Environmental Science","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Inverse Gaussian distribution; Inversion (geology); Gaussian; Estimator; Hydraulic conductivity; Inverse; Algorithm; Inverse problem; Gaussian process; Kriging; Realization (probability); Mathematics; Mathematical optimization; Estimation theory; Applied mathematics; Computer science; Soil science; Statistics; Distribution (mathematics); Environmental science; Geology; Mathematical analysis; Physics","score_opus":0.09476239831196004,"score_gpt":0.30925879993263666,"score_spread":0.21449640162067662,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3044896072","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.47733632,0.000010399561,0.51150227,0.0059910724,0.000019620502,0.00064420246,0.0000049240684,0.00006131398,0.004429876],"genre_scores_gemma":[0.9891556,7.2247184e-7,0.007890896,0.0007144887,0.00009393286,0.00011838848,0.000034677836,0.000019406281,0.0019718807],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9980253,0.0001829657,0.00015799583,0.0004701,0.0007129786,0.0004506707],"domain_scores_gemma":[0.999488,0.00006295853,0.000018279601,0.00020146984,0.000023517812,0.00020577616],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006031711,0.00013804078,0.00015137524,0.000080458594,0.00040408512,0.00013115672,0.0002848921,0.0000637214,0.00024773582],"category_scores_gemma":[0.00008137157,0.000094249,0.00006341466,0.00021265706,0.00011985351,0.00017558248,0.00020839772,0.00022561643,0.00025531158],"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":[0.0005750808,0.000165405,0.0019492272,0.00011919909,0.000033738164,0.0000073983747,0.023893822,0.8801341,0.027769953,0.000035115074,0.014852048,0.050464932],"study_design_scores_gemma":[0.00057286985,0.00019214353,0.00014468124,0.000006333352,0.000005837137,4.457891e-7,0.00035741425,0.96084195,0.010431218,0.00015575446,0.02716114,0.00013022532],"about_ca_topic_score_codex":0.0007103506,"about_ca_topic_score_gemma":0.000022662947,"teacher_disagreement_score":0.5118193,"about_ca_system_score_codex":0.00010082713,"about_ca_system_score_gemma":0.000009131208,"threshold_uncertainty_score":0.3843363},"labels":[],"label_agreement":null},{"id":"W3047493908","doi":"10.1029/2019wr027009","title":"Automatic Model Structure Identification for Conceptual Hydrologic Models","year":2020,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":48,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Hydrograph; Identification (biology); Hydrological modelling; Data mining; Modular design; Heuristic; Conceptual model; Mathematical optimization; Machine learning; Surface runoff; Artificial intelligence; Mathematics; Ecology","score_opus":0.09567251240638361,"score_gpt":0.31158870712678766,"score_spread":0.21591619472040405,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3047493908","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9849243,0.000029253799,0.004739406,0.0072421525,0.000020451367,0.00067439507,0.000016488291,0.00008904642,0.0022645174],"genre_scores_gemma":[0.99716556,0.000008223836,0.00055277447,0.000705911,0.00004948961,0.0001238371,0.000027950846,0.000015914395,0.0013503638],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9981187,0.00015729539,0.00021449143,0.00047243634,0.0004597574,0.00057734683],"domain_scores_gemma":[0.9995654,0.000055534085,0.000027616288,0.00022291527,0.000018623075,0.00010986467],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00059131085,0.00012619031,0.00015682334,0.00005063483,0.00050444156,0.00005817066,0.0005042922,0.00009326403,0.00074251567],"category_scores_gemma":[0.00005026777,0.00008382902,0.000049478043,0.00014091021,0.0006737736,0.00021607774,0.000646465,0.00022345562,0.00047148604],"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":[0.00018788184,0.000062034334,0.00199989,0.00009715849,0.00008318992,0.0000093589215,0.06725288,0.84193015,0.0659069,0.0007223031,0.019661505,0.0020867523],"study_design_scores_gemma":[0.0003036917,0.00012071841,0.00013750051,0.000002114223,0.000011071481,4.774739e-7,0.0003872743,0.957444,0.00583513,0.026666246,0.008974164,0.00011762496],"about_ca_topic_score_codex":0.000030138428,"about_ca_topic_score_gemma":0.000009466753,"teacher_disagreement_score":0.11551385,"about_ca_system_score_codex":0.000050123832,"about_ca_system_score_gemma":0.00000227898,"threshold_uncertainty_score":0.8130026},"labels":[],"label_agreement":null},{"id":"W3048282608","doi":"10.1029/2020wr027466","title":"Simulation of Preferential Flow in Snow With a 2‐D Non‐Equilibrium Richards Model and Evaluation Against Laboratory Data","year":2020,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Cryospheric studies and observations","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":false,"ca_institutions":"University of Saskatchewan","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Snowpack; Snow; Snowmelt; Flow (mathematics); Richards equation; Environmental science; Meltwater; Flow conditions; Mechanics; Hydrology (agriculture); Geology; Atmospheric sciences; Soil science; Geotechnical engineering; Geomorphology; Physics; Soil water","score_opus":0.15445239436691285,"score_gpt":0.3324492787007892,"score_spread":0.17799688433387637,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3048282608","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9980858,0.00026818988,0.00021994422,0.00049103616,0.000011877979,0.0003389347,0.00018037287,0.0000085466545,0.0003953101],"genre_scores_gemma":[0.99891454,0.000032268053,0.00048283505,0.000047411602,0.00006472391,0.0000036402591,0.00042468883,0.000004196621,0.000025668853],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983844,0.00016677938,0.00017720452,0.00030882502,0.00071592623,0.00024684967],"domain_scores_gemma":[0.9992903,0.0001426656,0.000026058819,0.00024042158,0.00021880388,0.000081733146],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00096084474,0.000077086384,0.00013282683,0.000054409076,0.00009650182,0.00005644665,0.00024731134,0.000039215964,0.00018953784],"category_scores_gemma":[0.00015185808,0.000050151826,0.000008617552,0.00038320324,0.000108468135,0.00024617257,0.00012906633,0.00015668856,0.000010782967],"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":[0.00016044188,0.0000112826765,0.07242074,0.00003906316,0.000012831985,0.0000012862547,0.0052306526,0.91449684,0.0003446626,1.8850814e-7,0.00012053872,0.007161463],"study_design_scores_gemma":[0.00043227174,0.00010711127,0.08282395,0.000019488194,0.0000072506677,4.8300468e-8,0.00047306146,0.9144964,0.00010003299,0.00001633057,0.0014608295,0.00006321208],"about_ca_topic_score_codex":0.00048282993,"about_ca_topic_score_gemma":0.0016295987,"teacher_disagreement_score":0.010403205,"about_ca_system_score_codex":0.0000054395878,"about_ca_system_score_gemma":0.000052183277,"threshold_uncertainty_score":0.20753065},"labels":[],"label_agreement":null},{"id":"W3049283214","doi":"10.1029/2020wr027960","title":"Application of Parameter Screening to Derive Optimal Initial State Adjustments for Streamflow Forecasting","year":2020,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Watershed Management Studies","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":"Rio Tinto (Canada); École de Technologie Supérieure; University of Waterloo","funders":"Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada","keywords":"Streamflow; Computer science; Hydropower; Flood warning; Sensitivity (control systems); Flood forecasting; Transferability; Flood myth; Hydrological modelling; Forecast skill; Data mining; Operations research; Machine learning; Meteorology; Climatology; Mathematics; Engineering; Drainage basin; Geography","score_opus":0.1007476698198378,"score_gpt":0.33798386618921944,"score_spread":0.23723619636938165,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3049283214","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9544913,0.0000063243738,0.04228054,0.0015230555,0.000009415437,0.00086845976,0.000016691569,0.000020960551,0.000783223],"genre_scores_gemma":[0.9900889,0.0000022276545,0.009111837,0.00028535025,0.000043914628,0.00026102236,0.000019224772,0.000015169495,0.00017239453],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984376,0.000103057,0.00019899335,0.0003667563,0.0003766771,0.00051694276],"domain_scores_gemma":[0.99956083,0.00011861785,0.000029380451,0.00014046434,0.00002528037,0.00012541552],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005355431,0.00010271187,0.00014767675,0.00006811093,0.00025270326,0.00002539337,0.00029805672,0.00003710652,0.000113809925],"category_scores_gemma":[0.00009422812,0.00007610048,0.000042630916,0.00017541807,0.00020959022,0.00010027367,0.0008485027,0.00012874525,0.00014998675],"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":[0.0049804575,0.0003293681,0.16662787,0.00046683563,0.00049466046,0.000051737174,0.13209796,0.31321546,0.10520702,0.000024091592,0.0064804065,0.27002412],"study_design_scores_gemma":[0.0032215368,0.004032269,0.016666144,0.00007442421,0.000077544086,0.0000031909058,0.003596823,0.44073096,0.38558826,0.0013707924,0.14383425,0.0008038293],"about_ca_topic_score_codex":0.00020927055,"about_ca_topic_score_gemma":0.000020327578,"teacher_disagreement_score":0.28038123,"about_ca_system_score_codex":0.000028853414,"about_ca_system_score_gemma":0.000001274775,"threshold_uncertainty_score":0.31032872},"labels":[],"label_agreement":null},{"id":"W3049572438","doi":"10.1029/2020wr027320","title":"An Analytical Method to Calculate Groundwater Released From an Aquitard Undergoing Nonlinear Consolidation","year":2020,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Groundwater flow and contamination studies","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":false,"ca_institutions":"University of Waterloo","funders":"Innovative Research Group Project of the National Natural Science Foundation of China","keywords":"Aquifer; Consolidation (business); Hydraulic conductivity; Terzaghi's principle; Groundwater; Specific storage; Geology; Drawdown (hydrology); Geotechnical engineering; Soil science; Pore water pressure; Mechanics; Groundwater recharge; Physics; Accounting","score_opus":0.07255442823196134,"score_gpt":0.3740134041224793,"score_spread":0.30145897589051796,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3049572438","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95504946,0.000007073413,0.038128342,0.0055621127,0.000025568113,0.00032617146,0.000014246126,0.000089735026,0.0007972747],"genre_scores_gemma":[0.9898361,0.000002238937,0.006928491,0.0014615335,0.00024111077,0.00003950444,0.00013016482,0.00003673096,0.0013241463],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.9959273,0.0010171384,0.0003338948,0.00085472246,0.0011178701,0.0007491281],"domain_scores_gemma":[0.9986825,0.00015438916,0.000023360579,0.00043413186,0.000059926606,0.0006456749],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0011682358,0.0002031678,0.00026016924,0.00011571339,0.0005018587,0.00038982506,0.00058826216,0.0000984886,0.0022440972],"category_scores_gemma":[0.00006583767,0.00014550748,0.000062646715,0.00038229275,0.00020908582,0.00051142584,0.0006206156,0.00033447167,0.0028848536],"study_design_candidate":"bench_or_experimental","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":[0.0015786286,0.0009503918,0.13002974,0.00006844531,0.00028837935,0.00034762823,0.1521129,0.010165123,0.58680797,0.00012949311,0.003797005,0.11372432],"study_design_scores_gemma":[0.0018456242,0.0025785242,0.06540476,0.000036615864,0.00007339483,0.000007665148,0.0074275187,0.25441065,0.118086755,0.00049198105,0.54859716,0.0010393306],"about_ca_topic_score_codex":0.004051859,"about_ca_topic_score_gemma":0.0007328967,"teacher_disagreement_score":0.54480016,"about_ca_system_score_codex":0.0001702312,"about_ca_system_score_gemma":0.000009923455,"threshold_uncertainty_score":0.998668},"labels":[],"label_agreement":null},{"id":"W3082338965","doi":"10.1029/2020wr027447","title":"Regional Calibration With Isotope Tracers Using a Spatially Distributed Model: A Comparison of Methods","year":2020,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":37,"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 Calgary; University of Manitoba","funders":"Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada","keywords":"Calibration; Streamflow; Evapotranspiration; Environmental science; Isotope; Metric (unit); Stable isotope ratio; Soil science; Propagation of uncertainty; Representation (politics); Hydrology (agriculture); Mathematics; Algorithm; Geology; Statistics; Drainage basin; Geotechnical engineering; Engineering","score_opus":0.15801075691158203,"score_gpt":0.39357352045569277,"score_spread":0.23556276354411074,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3082338965","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8721294,0.000020014246,0.12257245,0.00415795,0.0000049784057,0.00028211158,0.0000041912895,0.000024210425,0.00080472947],"genre_scores_gemma":[0.989466,0.000004402336,0.010231555,0.00012964109,0.000018317494,0.000017044653,0.000019219422,0.000012011893,0.00010179449],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99822944,0.00042563977,0.00020941549,0.000309357,0.0004618255,0.0003643226],"domain_scores_gemma":[0.99964315,0.00005178056,0.000041477648,0.00014875925,0.000019263554,0.00009559017],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006613312,0.00010383892,0.00020197632,0.000051459552,0.00026002494,0.00002741823,0.0002634484,0.000055640543,0.00022691459],"category_scores_gemma":[0.000025328894,0.000065610475,0.000032871147,0.0002640505,0.0005786898,0.00013815695,0.00042402995,0.00022733181,0.00002109231],"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":[0.00066642056,0.000092982234,0.064202994,0.000047057787,0.000071096285,0.000007546068,0.023169275,0.86290246,0.046521123,0.000022751714,0.001473189,0.00082309346],"study_design_scores_gemma":[0.0003452037,0.00029112824,0.00084791554,0.000010285002,0.000017998194,8.5440314e-7,0.0007119937,0.9656065,0.0240825,0.00017698054,0.0077975285,0.00011107242],"about_ca_topic_score_codex":0.00059344043,"about_ca_topic_score_gemma":0.00006975421,"teacher_disagreement_score":0.11733665,"about_ca_system_score_codex":0.000049854065,"about_ca_system_score_gemma":0.000005563662,"threshold_uncertainty_score":0.26755175},"labels":[],"label_agreement":null},{"id":"W3084157375","doi":"10.1029/2020wr027187","title":"The Spatial Dynamics of Droughts and Water Scarcity in England and Wales","year":2020,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Drought Analysis","field":"Environmental Science","cited_by":69,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canmore Museum and Geoscience Centre; University of Saskatchewan","funders":"Natural Environment Research Council; Sight Research UK","keywords":"Water scarcity; Environmental science; Hydrology (agriculture); Streamflow; Drainage basin; Water resources; Water resource management; Precipitation; Climate change; Water storage; Scarcity; Water year; Water supply; Resilience (materials science); Spatial ecology; Geography; Ecology; Meteorology; Environmental engineering; Geology","score_opus":0.02047225829052513,"score_gpt":0.2641540827845023,"score_spread":0.24368182449397718,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3084157375","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9934051,0.00007203577,0.000014268333,0.005440227,0.000005204013,0.00009838649,0.0000023454015,0.0000046289483,0.00095778954],"genre_scores_gemma":[0.9995123,0.0000769828,0.000015866675,0.000036777805,0.000026715832,0.0000061160654,0.0000052219643,0.0000053055146,0.00031470213],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99862707,0.00032578493,0.00014801485,0.00024132372,0.00030823261,0.00034958142],"domain_scores_gemma":[0.9996511,0.00011057356,0.000010229986,0.0001299987,0.000007664876,0.00009042896],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009810231,0.000069592475,0.00012471923,0.00003840352,0.00024858827,0.00004208536,0.00019964934,0.00006432731,0.00018973304],"category_scores_gemma":[0.000036471538,0.000032508495,0.0000191704,0.00010912776,0.00094107864,0.00006357788,0.0006249589,0.00024552867,0.000046926598],"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":[0.00030729998,0.0000322616,0.9316583,0.000027978558,0.000024464287,0.00003500525,0.043141197,0.0002538494,0.010981089,0.000020277179,0.000042926284,0.0134753445],"study_design_scores_gemma":[0.0031451364,0.00092382944,0.38649946,0.000030413812,0.00004687999,0.000026532212,0.0019592203,0.27392215,0.10707765,0.012648162,0.21311899,0.00060157425],"about_ca_topic_score_codex":0.0029569524,"about_ca_topic_score_gemma":0.011652514,"teacher_disagreement_score":0.5451588,"about_ca_system_score_codex":0.000021530703,"about_ca_system_score_gemma":0.0000014141444,"threshold_uncertainty_score":0.6502376},"labels":[],"label_agreement":null},{"id":"W3085573272","doi":"10.1029/2019wr026381","title":"Cutting Edge: A Comparison of Contemporary Practices of Riparian Buffer Retention Around Small Streams in Canada, Finland, and Sweden","year":2020,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Sediment Transport Processes","field":"Environmental Science","cited_by":95,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of British Columbia","funders":"Academy of Finland; Svenska Forskningsrådet Formas","keywords":"STREAMS; Riparian zone; Riparian buffer; Buffer zone; Riparian forest; Hydrology (agriculture); Environmental science; Forestry; Geography; Ecology; Archaeology; Geology; Habitat; Computer science","score_opus":0.12362606699855372,"score_gpt":0.3283149607725744,"score_spread":0.20468889377402066,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3085573272","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99411166,0.00031714566,0.0000068106515,0.0013370323,0.0000095830865,0.00019691308,0.0000069124,0.000003614987,0.0040103374],"genre_scores_gemma":[0.9997128,0.00001817246,0.000050809438,0.00003972706,0.000016058942,0.000008657112,0.000014613591,0.0000067298142,0.00013240075],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984213,0.00024920847,0.00034812684,0.0002735531,0.00043254002,0.00027527288],"domain_scores_gemma":[0.9994797,0.00015828338,0.00013021858,0.00011124194,0.000018834677,0.00010172419],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007598583,0.00008431271,0.00023057229,0.000049884457,0.00007958453,0.000015896863,0.00023055337,0.00006308402,0.00030835875],"category_scores_gemma":[0.000091014736,0.000062556755,0.000016978609,0.0001825578,0.0002527462,0.00014379068,0.00014687778,0.00030888425,0.000010638142],"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":[0.00027838745,0.00005756369,0.9761307,0.00015204686,0.000015893329,0.00002109226,0.008730976,0.0003691248,0.01304152,0.0000016221275,0.00016708273,0.0010339468],"study_design_scores_gemma":[0.0027799609,0.0012415806,0.70264316,0.00024066004,0.000042092917,0.000006745821,0.017615022,0.025347097,0.19706674,0.00023750046,0.052313194,0.00046626318],"about_ca_topic_score_codex":0.6149871,"about_ca_topic_score_gemma":0.4215822,"teacher_disagreement_score":0.2734876,"about_ca_system_score_codex":0.00004834568,"about_ca_system_score_gemma":0.00005701012,"threshold_uncertainty_score":0.58897245},"labels":[],"label_agreement":null},{"id":"W3087711721","doi":"10.1029/2020wr027229","title":"Measuring Fracture Flow Changes in a Bedrock Aquifer Due to Open Hole and Pumped Conditions Using Active Distributed Temperature Sensing","year":2020,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Groundwater flow and contamination studies","field":"Environmental Science","cited_by":34,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada","keywords":"Borehole; Aquifer; Bedrock; Geology; Groundwater flow; Hydraulic head; Groundwater; Hydraulics; Geotechnical engineering; Soil science; Flow (mathematics); Petrology; Geomorphology; Mechanics; Engineering","score_opus":0.08284194457973632,"score_gpt":0.3182385724504325,"score_spread":0.2353966278706962,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3087711721","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9877802,0.000021480666,0.00037338017,0.010843639,0.000013708736,0.00071994,0.000053534342,0.000019572022,0.00017452802],"genre_scores_gemma":[0.9984922,0.0000029682108,0.00018588772,0.0006901779,0.00006253614,0.000044825378,0.000042631855,0.000017596203,0.00046118966],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9980778,0.00027420072,0.00013982812,0.00047796592,0.00051125017,0.0005189617],"domain_scores_gemma":[0.99951893,0.00005557281,0.000017212891,0.00015328905,0.000043475076,0.00021150404],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041021468,0.00014902856,0.00022191621,0.00010275967,0.0005588252,0.0003687216,0.00030272934,0.00008111551,0.00023227312],"category_scores_gemma":[0.000073663185,0.000109495806,0.000019621415,0.00044609877,0.00014410545,0.00026688862,0.0015404429,0.00039432326,0.00010748769],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003535981,0.000082983446,0.013020946,0.000055023043,0.00006878731,0.00034731772,0.12284662,0.009913993,0.83707774,0.0000014534522,0.0018687729,0.014362794],"study_design_scores_gemma":[0.0023645612,0.0003601189,0.16807033,0.00026409148,0.000031455336,0.000053878844,0.020222457,0.025052492,0.50372136,0.00013893243,0.27875626,0.00096407224],"about_ca_topic_score_codex":0.0010327477,"about_ca_topic_score_gemma":0.0014456296,"teacher_disagreement_score":0.33335635,"about_ca_system_score_codex":0.00017994163,"about_ca_system_score_gemma":0.000006273187,"threshold_uncertainty_score":0.44651094},"labels":[],"label_agreement":null},{"id":"W3088815798","doi":"10.1029/2020wr027951","title":"Mobilization and Transformation of Mercury Across a Dammed Boreal River Are Linked to Carbon Processing and Hydrology","year":2020,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Mercury impact and mitigation studies","field":"Environmental Science","cited_by":26,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Hydro-Québec; Université de Montréal; Université du Québec à Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Hydro-Québec; Canada Excellence Research Chairs, Government of Canada","keywords":"Environmental science; Mercury (programming language); Hydrology (agriculture); Dissolved organic carbon; Organic matter; Total organic carbon; Anoxic waters; Aquatic ecosystem; Boreal; Watershed; Carbon cycle; Drainage basin; Ecosystem; Environmental chemistry; Ecology; Geology; Oceanography; Chemistry; Geography","score_opus":0.053016016035084455,"score_gpt":0.33443996806630444,"score_spread":0.28142395203122,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3088815798","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9957376,0.00008401977,0.0000519636,0.002791778,0.000004691968,0.00030108058,0.0000069013727,0.000013733773,0.001008197],"genre_scores_gemma":[0.9996641,0.00004655086,0.00004492696,0.0001416322,0.000019871279,0.000022004902,0.000006504165,0.0000072432294,0.00004713743],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.9989117,0.00011661654,0.0001623126,0.00020036429,0.00033086044,0.00027818838],"domain_scores_gemma":[0.9997044,0.000028674953,0.00002575218,0.00006445296,0.000028511895,0.00014817748],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004404791,0.00007323662,0.00013217216,0.000040696137,0.00017619005,0.000033676006,0.00007914493,0.00005085705,0.000027386253],"category_scores_gemma":[0.00005489426,0.00005184278,0.000010591648,0.00020368285,0.00041770804,0.00013235277,0.00018475339,0.000112649206,0.0000089811165],"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":[0.00027221732,0.000030406753,0.17294875,0.00023303549,0.000015191794,0.0000039529286,0.6255463,0.00029647205,0.1664176,0.0000031162494,0.000113433016,0.034119535],"study_design_scores_gemma":[0.0016049619,0.00088158686,0.8429842,0.000092194576,0.00002249834,0.000011268066,0.021499338,0.02455132,0.08229931,0.00031685663,0.025363646,0.0003728475],"about_ca_topic_score_codex":0.0004772819,"about_ca_topic_score_gemma":0.00010714087,"teacher_disagreement_score":0.6700354,"about_ca_system_score_codex":0.000020683925,"about_ca_system_score_gemma":0.000002602799,"threshold_uncertainty_score":0.21140872},"labels":[],"label_agreement":null},{"id":"W3090404574","doi":"10.1029/2020wr027538","title":"Centennial‐Scale Shifts in Hydrophysical Properties of Peat Induced by Drainage","year":2020,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Peatlands and Wetlands Ecology","field":"Environmental Science","cited_by":82,"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":"European Social Fund; Deutsche Forschungsgemeinschaft","keywords":"Peat; Drainage; Environmental science; Hydraulic conductivity; Hydrology (agriculture); Soil science; Infiltration (HVAC); Bulk density; Soil water; Surface runoff; Geology; Ecology; Geotechnical engineering","score_opus":0.04226474288608569,"score_gpt":0.2675694331789282,"score_spread":0.22530469029284247,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3090404574","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9877135,0.000024469462,0.0000014044161,0.0033543564,0.00001017769,0.00021992937,0.0000043350137,0.000014493557,0.008657293],"genre_scores_gemma":[0.9992389,0.0000065765535,0.000009147405,0.00012573399,0.000046873283,0.0000258116,0.0000087365,0.0000138884425,0.0005243466],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9980542,0.00028300454,0.00020789726,0.00035060014,0.0005267945,0.0005774707],"domain_scores_gemma":[0.9996079,0.000024699704,0.000018047731,0.00017667131,0.0000099697345,0.00016266973],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003974498,0.00010384131,0.00020872422,0.000054835462,0.00009263127,0.00003147065,0.00043500322,0.0000792699,0.0005218236],"category_scores_gemma":[0.000036706864,0.00006501446,0.00004073548,0.00026259435,0.00035173557,0.00009030969,0.000674647,0.00034955886,0.00037267097],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017751155,0.00013305992,0.032938074,0.000026260259,0.0000045645547,0.00001861292,0.013549009,0.00002873981,0.95146173,0.0000022139611,0.0010699665,0.00059026404],"study_design_scores_gemma":[0.0027577935,0.002099853,0.10899188,0.00007653621,0.000008421331,0.0000031708416,0.0019039003,0.005968316,0.7548385,0.0004975922,0.12226433,0.00058968127],"about_ca_topic_score_codex":0.0014305656,"about_ca_topic_score_gemma":0.00020400505,"teacher_disagreement_score":0.1966232,"about_ca_system_score_codex":0.000061567145,"about_ca_system_score_gemma":0.000004363187,"threshold_uncertainty_score":0.57136023},"labels":[],"label_agreement":null},{"id":"W3091276462","doi":"10.1029/2020wr028565","title":"Probabilistic Numerical Modeling of Compound Flooding Caused by Tropical Storm Matthew Over a Data‐Scarce Coastal Environment","year":2020,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Tropical and Extratropical Cyclones Research","field":"Earth and Planetary Sciences","cited_by":63,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Storm surge; Coastal flood; Flooding (psychology); Flood myth; Storm; Pluvial; Environmental science; Tropical cyclone; Climatology; Hydrology (agriculture); Climate change; Oceanography; Geology; Geography","score_opus":0.10258994483149377,"score_gpt":0.29143937281772747,"score_spread":0.18884942798623372,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3091276462","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99456644,0.00036097327,0.0016385319,0.0021861477,0.000026129672,0.00039955185,0.00041222706,0.000039537746,0.0003704869],"genre_scores_gemma":[0.9988662,0.000051672334,0.00027125582,0.000082567734,0.00019312194,0.0000051469547,0.00042977976,0.000014969127,0.00008526302],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99505025,0.000592268,0.0004939171,0.0008073344,0.0019614713,0.0010947528],"domain_scores_gemma":[0.9983376,0.00029743885,0.000032612545,0.00056513393,0.000056785182,0.0007103786],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00042002523,0.00022119842,0.00041465607,0.000091929185,0.0003136109,0.00018155712,0.0013073514,0.00012820603,0.0037597676],"category_scores_gemma":[0.00013719215,0.00014298198,0.000084762345,0.00026654775,0.00052725646,0.00021834712,0.0005801701,0.00089757703,0.0005840519],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0028151225,0.0006173514,0.8934761,0.0009891595,0.00026048883,0.00034322744,0.0061716978,0.05859193,0.021365995,0.00009160459,0.0037612778,0.011516039],"study_design_scores_gemma":[0.00092976104,0.0009450593,0.04761068,0.000030458115,0.000018365494,0.0000075844673,0.00037636657,0.90249705,0.0006753969,0.00031329188,0.0462617,0.0003342815],"about_ca_topic_score_codex":0.008165564,"about_ca_topic_score_gemma":0.0008572941,"teacher_disagreement_score":0.8458654,"about_ca_system_score_codex":0.000018779623,"about_ca_system_score_gemma":0.00003415429,"threshold_uncertainty_score":0.99843913},"labels":[],"label_agreement":null},{"id":"W3092581494","doi":"10.1029/2020wr027850","title":"Bed Particle Displacements and Morphological Development in a Wandering Gravel‐Bed River","year":2020,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Sediment Transport Processes","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":"Ministry of Environment; Western University; Ministry of Forests","funders":"","keywords":"Bed load; Geology; TRACER; Hydrology (agriculture); Bar (unit); Channel (broadcasting); Point bar; Flux (metallurgy); Geomorphology; Sediment transport; Sediment; Fluvial; Geotechnical engineering; Oceanography","score_opus":0.06128733094870301,"score_gpt":0.2931355082473401,"score_spread":0.23184817729863708,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3092581494","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99751395,0.000039982388,0.00003656089,0.0015740785,0.0000060445745,0.00019039292,6.718147e-7,0.000021629008,0.00061671116],"genre_scores_gemma":[0.9992423,0.000015201029,0.00023667079,0.0002542012,0.000010960112,0.000041363295,0.0000056515705,0.0000075334965,0.0001861337],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9983568,0.00012231962,0.00018165048,0.00037888653,0.00042477646,0.00053553085],"domain_scores_gemma":[0.99968284,0.0000330106,0.000009546575,0.00008412002,0.000005478831,0.00018500046],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00060337293,0.00009634519,0.00012188789,0.000030643627,0.00019271226,0.00003113428,0.00020867986,0.000064516804,0.0018313488],"category_scores_gemma":[0.000022489623,0.000064847074,0.000012788236,0.0001822329,0.00043972026,0.00010308376,0.00034253037,0.00026373178,0.00047903537],"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":[0.000337761,0.00011670955,0.8754437,0.00003394063,0.000013611066,0.0002839356,0.04422262,0.00041057944,0.07658384,0.000005222419,0.00007613408,0.0024719236],"study_design_scores_gemma":[0.00319888,0.0005520471,0.47397557,0.00003906249,0.000009593982,0.000016024078,0.0009192208,0.004841376,0.4044228,0.0004902471,0.11100549,0.00052971614],"about_ca_topic_score_codex":0.00011017426,"about_ca_topic_score_gemma":0.00006157152,"teacher_disagreement_score":0.40146816,"about_ca_system_score_codex":0.000038487247,"about_ca_system_score_gemma":0.0000040272544,"threshold_uncertainty_score":0.99908113},"labels":[],"label_agreement":null},{"id":"W3093133843","doi":"10.1029/2020wr028096","title":"How Probable Is Widespread Flooding in the United States?","year":2020,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Drought Analysis","field":"Environmental Science","cited_by":46,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canmore Museum and Geoscience Centre; University of Saskatchewan","funders":"Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung","keywords":"Flooding (psychology); Streamflow; Flood myth; Snowmelt; Seasonality; Environmental science; Hydrology (agriculture); Floodplain; Climatology; Drainage basin; Physical geography; Geography; Snow; Geology; Ecology; Meteorology; Cartography","score_opus":0.06512081600841879,"score_gpt":0.29980753586546205,"score_spread":0.23468671985704326,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3093133843","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9350133,0.000025161622,0.000028493567,0.058965787,0.0000053241283,0.0001896968,0.0000018558077,0.000018192513,0.0057521695],"genre_scores_gemma":[0.994705,0.000023087114,0.00004847646,0.0023990192,0.00004065441,0.00003331343,0.000021437345,0.000009682185,0.0027193092],"study_design_codex":"qualitative","study_design_gemma":"not_applicable","domain_scores_codex":[0.99756795,0.000655423,0.00012572898,0.00034466063,0.00068522536,0.0006209857],"domain_scores_gemma":[0.99946374,0.00013093551,0.0000145349595,0.00027289597,0.000011494354,0.00010638328],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0014658155,0.00009593532,0.00011944822,0.00011208687,0.00030423317,0.00020426977,0.0007185235,0.00007161986,0.0014513929],"category_scores_gemma":[0.0000940188,0.00005137142,0.00004344022,0.0012125291,0.00034853234,0.00015664432,0.00042288323,0.00051196804,0.0013383947],"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":[0.00040523548,0.0002864747,0.40202108,0.00007909571,0.0001085754,0.0005495212,0.43958953,0.033205446,0.03237856,0.00007264992,0.08910257,0.0022012503],"study_design_scores_gemma":[0.00033069056,0.00015884209,0.0015083177,0.000008987366,0.000009562916,0.000004105281,0.0035497153,0.034042206,0.015876213,0.0012881065,0.94307095,0.00015232504],"about_ca_topic_score_codex":0.0018285079,"about_ca_topic_score_gemma":0.00035474132,"teacher_disagreement_score":0.8539683,"about_ca_system_score_codex":0.000046197943,"about_ca_system_score_gemma":0.0000027011922,"threshold_uncertainty_score":0.9994614},"labels":[],"label_agreement":null},{"id":"W3094153373","doi":"10.1029/2020wr027419","title":"Oak Transpiration Drawn From the Weathered Bedrock Vadose Zone in the Summer Dry Season","year":2020,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":82,"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":"National Science Foundation","keywords":"Vadose zone; Bedrock; Water content; Groundwater; Hydrology (agriculture); Soil water; Geology; Water table; Environmental science; Moisture; Soil science; Geomorphology","score_opus":0.04843714400190348,"score_gpt":0.2729363813129192,"score_spread":0.22449923731101573,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3094153373","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9818311,0.00006544203,0.0001450169,0.012932101,0.000014650464,0.000400795,0.00003303211,0.000020052936,0.004557816],"genre_scores_gemma":[0.99783844,0.000023086895,0.000055390316,0.0008919584,0.000085364285,0.00005094891,0.00010333418,0.000016385206,0.0009351026],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9974575,0.0006705918,0.00019643178,0.0003415378,0.00088806334,0.00044588282],"domain_scores_gemma":[0.9993899,0.0001604546,0.000018990137,0.00033605983,0.0000074209106,0.00008716967],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0009247867,0.0001226287,0.00010765316,0.000025545694,0.00041632776,0.00026079646,0.00077436364,0.00008687916,0.0010556165],"category_scores_gemma":[0.000020457801,0.000058975173,0.000055345005,0.00039108976,0.00028995023,0.00013919716,0.00022832978,0.00056853425,0.0009990007],"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":[0.00043845075,0.00029953071,0.6184825,0.000018916244,0.000055768225,0.00016414352,0.25536442,0.03323457,0.07029535,0.00006616466,0.0058855386,0.015694655],"study_design_scores_gemma":[0.00085747207,0.00017765467,0.09185024,0.00002507694,0.000018872723,0.0000034027703,0.0017991853,0.10710825,0.0021518744,0.00073785713,0.7949831,0.00028700888],"about_ca_topic_score_codex":0.005381035,"about_ca_topic_score_gemma":0.0026178234,"teacher_disagreement_score":0.78909755,"about_ca_system_score_codex":0.00006726212,"about_ca_system_score_gemma":0.0000056269378,"threshold_uncertainty_score":0.99985754},"labels":[],"label_agreement":null},{"id":"W3094614841","doi":"10.1029/2020wr027949","title":"Constraining Remote River Discharge Estimation Using Reach‐Scale Geomorphology","year":2020,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Flood Risk Assessment and Management","field":"Environmental Science","cited_by":76,"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; National Science Foundation","keywords":"SWOT analysis; Hydraulics; Scale (ratio); Hydrology (agriculture); Structural basin; Environmental science; Drainage basin; Discharge; Remote sensing; Geology; Geomorphology; Cartography; Geography; Engineering","score_opus":0.08057653222497704,"score_gpt":0.34006562338184215,"score_spread":0.25948909115686514,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3094614841","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9785081,0.000014770125,0.0055484255,0.00260258,0.000036371617,0.00033249496,0.0000047420963,0.000052952997,0.012899558],"genre_scores_gemma":[0.9868081,0.000010768939,0.0118171675,0.00023665657,0.00007760498,0.0000058345945,0.00002940413,0.000020663505,0.0009937859],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9978138,0.000259495,0.00019433738,0.00043411503,0.00068185007,0.0006163854],"domain_scores_gemma":[0.9995166,0.000036112044,0.000029591381,0.00022109413,0.000012546889,0.00018406393],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0008479899,0.00011953815,0.00014196681,0.00006862256,0.000349181,0.00009133614,0.0003523836,0.000062187726,0.0033499766],"category_scores_gemma":[0.000031221127,0.000087268316,0.00004125766,0.00023304188,0.00059433596,0.00019427939,0.0008994547,0.00031941943,0.0017143674],"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":[0.0004316264,0.00029172833,0.08672631,0.00020098126,0.00014114701,0.0004615086,0.12012348,0.049223363,0.5838338,0.00019581214,0.02279044,0.1355798],"study_design_scores_gemma":[0.001172613,0.0003778564,0.008459499,0.00004213219,0.000032720236,0.000021489685,0.0021831023,0.7203387,0.022888476,0.0011310041,0.24286962,0.00048278275],"about_ca_topic_score_codex":0.0019687833,"about_ca_topic_score_gemma":0.000049420174,"teacher_disagreement_score":0.67111534,"about_ca_system_score_codex":0.00010302566,"about_ca_system_score_gemma":0.0000047028916,"threshold_uncertainty_score":0.9990629},"labels":[],"label_agreement":null},{"id":"W3095077405","doi":"10.1029/2020wr027721","title":"Modeling Water Quality in Watersheds: From Here to the Next Generation","year":2020,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":118,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"South Bruce Grey Health Centre","funders":"Sandia National Laboratories","keywords":"Water quality; Environmental science; Quality (philosophy); Hydrology (agriculture); Water resource management; Geology; Geotechnical engineering","score_opus":0.20423022025530224,"score_gpt":0.3422405631149539,"score_spread":0.13801034285965164,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3095077405","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9378104,0.000028405695,0.00029268456,0.059689585,0.00004027244,0.00039243526,0.0000027367319,0.000029563678,0.0017138899],"genre_scores_gemma":[0.996442,0.00001699964,0.00008796561,0.0024003247,0.00021726487,0.000089507914,0.000028919541,0.000015191553,0.00070181885],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9971484,0.00069087,0.00027661922,0.0005459303,0.0006052037,0.0007329528],"domain_scores_gemma":[0.9994998,0.000033554188,0.0000074140094,0.00032101406,0.000012472067,0.00012572159],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0016981903,0.0001380213,0.00016371894,0.00005697014,0.000467018,0.0001439985,0.0006028207,0.0000700402,0.0013554494],"category_scores_gemma":[0.000039050046,0.00006536257,0.00004028185,0.00017281201,0.00015919871,0.00020255266,0.0016121635,0.00036813185,0.0059881206],"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":[0.0003561324,0.0000846132,0.05060777,0.000024540832,0.000059564936,0.000054595563,0.2230336,0.45595112,0.2617641,0.000011803258,0.005708982,0.0023431631],"study_design_scores_gemma":[0.0013039531,0.00035917878,0.0057747173,0.000026377516,0.000019798033,9.358848e-7,0.010973574,0.5232795,0.124174476,0.0016784612,0.33164072,0.00076830597],"about_ca_topic_score_codex":0.0076053543,"about_ca_topic_score_gemma":0.001954313,"teacher_disagreement_score":0.32593173,"about_ca_system_score_codex":0.0000824105,"about_ca_system_score_gemma":0.0000011920987,"threshold_uncertainty_score":0.99955744},"labels":[],"label_agreement":null},{"id":"W3095351926","doi":"10.1029/2020wr028122","title":"Effects of Topographic Resolution and Geologic Setting on Spatial Statistical River Temperature Models","year":2020,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":48,"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; University of New Brunswick","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Bedrock; Hydrology (agriculture); Geology; Shuttle Radar Topography Mission; Groundwater; Drainage basin; Geomorphology; Digital elevation model; Remote sensing; Geography","score_opus":0.020961545371972052,"score_gpt":0.259732571315618,"score_spread":0.23877102594364594,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3095351926","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9945234,0.00005358144,0.000316128,0.0028389962,0.000013492458,0.00028970418,0.0000035517824,0.000021679632,0.0019394789],"genre_scores_gemma":[0.9992504,0.00004721802,0.00018317766,0.00029180132,0.000035217352,0.000019823416,0.0000056264844,0.000006922547,0.0001598221],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9983614,0.00037993846,0.000121807054,0.00034293704,0.00040665854,0.00038726872],"domain_scores_gemma":[0.999614,0.00017184463,0.000015670072,0.00010016765,0.000009459658,0.000088833774],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00048596534,0.0000977468,0.00013761934,0.00006468477,0.00027853218,0.00001860252,0.00015812594,0.000079389676,0.00011902002],"category_scores_gemma":[0.00007486262,0.00006205136,0.000021534466,0.00012479897,0.00089847617,0.000067825305,0.00063488854,0.00031970072,0.00008585918],"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":[0.005339281,0.00092758215,0.35925543,0.0022267483,0.00055578654,0.0011921473,0.17655218,0.081789635,0.31894457,0.0034903956,0.028779916,0.020946316],"study_design_scores_gemma":[0.0058910022,0.008984865,0.5738054,0.000241777,0.00016899218,0.000011686226,0.0014562513,0.15202028,0.15469955,0.059653528,0.041635048,0.0014316228],"about_ca_topic_score_codex":0.0003742218,"about_ca_topic_score_gemma":0.000015739046,"teacher_disagreement_score":0.21454997,"about_ca_system_score_codex":0.000016494218,"about_ca_system_score_gemma":9.089382e-7,"threshold_uncertainty_score":0.3310473},"labels":[],"label_agreement":null},{"id":"W3095739274","doi":"10.1029/2020wr027984","title":"Predicting Variable Contributing Areas, Hydrological Connectivity, and Solute Transport Pathways for a Canadian Prairie Basin","year":2020,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":47,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Agriculture and Agri-Food Canada; University of Saskatchewan; Environment and Climate Change Canada","funders":"","keywords":"Snowmelt; Surface runoff; Streamflow; Hydrology (agriculture); Environmental science; Drainage basin; Snow; Terrain; Structural basin; Physical geography; Geology; Ecology; Geography; Geomorphology","score_opus":0.04749252200995533,"score_gpt":0.2614687465539997,"score_spread":0.21397622454404439,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3095739274","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9689544,0.00003467876,0.00046650393,0.01844427,0.000019751373,0.00075564056,0.000050250303,0.0000611736,0.011213365],"genre_scores_gemma":[0.99821734,0.000006453578,0.00017397157,0.0010008403,0.000088064895,0.00012675647,0.000025342506,0.00001562832,0.00034560676],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99743426,0.00022993186,0.00019371031,0.00056574476,0.00031986058,0.0012564796],"domain_scores_gemma":[0.99919164,0.00023811808,0.000022143404,0.00013559793,0.00002131312,0.00039118464],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0023817143,0.0001479888,0.00023509833,0.00006344056,0.0013372329,0.0000564163,0.00027020232,0.00012417509,0.0003265015],"category_scores_gemma":[0.00028749273,0.000106720116,0.0000342537,0.00016792078,0.00049327547,0.00013295517,0.00047028498,0.00034447017,0.00007017523],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027885445,0.00004285214,0.9818658,0.00007162164,0.00008767031,0.00009819379,0.009779716,0.0012393784,0.0034782924,0.00025802522,0.0022206048,0.00057899737],"study_design_scores_gemma":[0.002991555,0.001832395,0.21059917,0.00004633213,0.000084274376,0.000020861477,0.0014163132,0.05276234,0.0036414117,0.00859658,0.71728635,0.00072240835],"about_ca_topic_score_codex":0.030935876,"about_ca_topic_score_gemma":0.015713979,"teacher_disagreement_score":0.77126664,"about_ca_system_score_codex":0.00009227215,"about_ca_system_score_gemma":0.000012190019,"threshold_uncertainty_score":0.99996287},"labels":[],"label_agreement":null},{"id":"W3096500206","doi":"10.1029/2020wr027904","title":"Using Heat to Trace Vertical Water Fluxes in Sediment Experiencing Concurrent Tidal Pumping and Groundwater Discharge","year":2021,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Groundwater and Isotope Geochemistry","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":false,"ca_institutions":"Dalhousie University","funders":"Ocean Frontier Institute","keywords":"Submarine groundwater discharge; Heat flux; Groundwater; Geology; Sediment; Environmental science; Flux (metallurgy); Hydrology (agriculture); Head (geology); Hydraulic head; Advection; Groundwater discharge; Hydrogeology; Magnitude (astronomy); Groundwater flow; Heat transfer; Geomorphology; Mechanics; Aquifer; Geotechnical engineering","score_opus":0.07060941904713741,"score_gpt":0.32053983405757785,"score_spread":0.24993041501044044,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3096500206","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9975717,0.00037718072,0.000059152353,0.00083699985,0.00013623817,0.0002231086,0.0000068324625,0.000020260515,0.00076850614],"genre_scores_gemma":[0.99886155,0.0000132120485,0.00010399469,0.000104142135,0.00015003575,0.000009764159,0.00006922075,0.000010041021,0.00067805906],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99675155,0.00031211652,0.00032408047,0.0006371016,0.00070888776,0.0012662424],"domain_scores_gemma":[0.9992321,0.00006423244,0.0000043470363,0.00025396174,0.00007981328,0.0003655105],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00092588464,0.00020006156,0.0002548446,0.0001758197,0.00036575788,0.0005095132,0.00023895387,0.00009464862,0.0023430712],"category_scores_gemma":[0.000025372645,0.0001207833,0.00004733066,0.00018401614,0.00016766619,0.00026969906,0.00025594575,0.00041748976,0.00023281931],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014532561,0.00012139487,0.26226905,0.00019077622,0.00002975737,0.00043543504,0.065855965,0.00091443287,0.6669884,0.0000047843237,0.000062264575,0.002982454],"study_design_scores_gemma":[0.00059032143,0.00015404903,0.01810121,0.00012171087,0.000006240313,0.00011700677,0.00528409,0.006532822,0.9448124,0.00006981587,0.023851825,0.0003585139],"about_ca_topic_score_codex":0.003337452,"about_ca_topic_score_gemma":0.0007568852,"teacher_disagreement_score":0.27782404,"about_ca_system_score_codex":0.000039459384,"about_ca_system_score_gemma":0.000023979235,"threshold_uncertainty_score":0.99856895},"labels":[],"label_agreement":null},{"id":"W3097910970","doi":"10.1029/2020wr028401","title":"Groundwater Flow and Moisture Dynamics in the Swash Zone: Effects of Heterogeneous Hydraulic Conductivity and Capillarity","year":2020,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Groundwater flow and contamination studies","field":"Environmental Science","cited_by":33,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bedford Institute of Oceanography; Fisheries and Oceans Canada","funders":"National Science Foundation","keywords":"Swash; Geology; Water table; Vadose zone; Groundwater; Hydraulic conductivity; Aquifer; Groundwater flow; Geomorphology; Moisture; Hydrology (agriculture); Hydrogeology; Sediment transport; Soil science; Geotechnical engineering; Sediment; Soil water; Meteorology","score_opus":0.02292626476296481,"score_gpt":0.2590548631831025,"score_spread":0.2361285984201377,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3097910970","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9963203,0.00025889667,0.0001528604,0.0025521116,0.000015693508,0.00036708923,0.000002984966,0.000009837009,0.00032019065],"genre_scores_gemma":[0.9992981,0.000053699834,0.000033903547,0.00024068083,0.000024533414,0.000036039728,0.000005125954,0.000009707606,0.00029822395],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9980822,0.00051058806,0.00015641832,0.00034855425,0.0005437239,0.00035847473],"domain_scores_gemma":[0.9995396,0.00016259219,0.000018650524,0.00018050932,0.000017214168,0.00008139954],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006929956,0.00012814759,0.00019390631,0.000046491845,0.00022010166,0.000098465105,0.0002476018,0.00006847105,0.000033050404],"category_scores_gemma":[0.000040774743,0.00007186337,0.000026459147,0.00017597114,0.0006492848,0.00012024376,0.0006795794,0.00031421767,0.000023082828],"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":[0.00029801967,0.0004071481,0.62641776,0.0008383228,0.000111475834,0.00039553392,0.24428914,0.0003570012,0.058458515,0.000068138695,0.00063166703,0.067727275],"study_design_scores_gemma":[0.0038512342,0.002251376,0.76411736,0.00009779131,0.00006855134,0.00017408471,0.013889559,0.03949367,0.08972324,0.0011019032,0.084216796,0.0010144352],"about_ca_topic_score_codex":0.0019187944,"about_ca_topic_score_gemma":0.0018022903,"teacher_disagreement_score":0.23039958,"about_ca_system_score_codex":0.00006961132,"about_ca_system_score_gemma":0.0000017599144,"threshold_uncertainty_score":0.29305032},"labels":[],"label_agreement":null},{"id":"W3100596960","doi":"10.1029/2019wr027040","title":"High Sensitivity of Lake Hypoxia to Air Temperatures, Winds, and Nutrient Loading: Insights From a 3‐D Lake Model","year":2020,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Marine and coastal ecosystems","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":false,"ca_institutions":"Environment and Climate Change Canada; University of Waterloo","funders":"Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada","keywords":"Hypolimnion; Hypoxia (environmental); Environmental science; Wind speed; Forcing (mathematics); Nutrient; Atmospheric sciences; Hydrology (agriculture); Oxygen; Eutrophication; Oceanography; Ecology; Geology; Chemistry; Biology","score_opus":0.029346199045692686,"score_gpt":0.23227747641305904,"score_spread":0.20293127736736635,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3100596960","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99514216,0.0001527094,0.000040910963,0.0016290378,0.00003724578,0.00032510373,0.00050021545,0.00003185234,0.0021407565],"genre_scores_gemma":[0.99849343,0.000018465531,0.00014634327,0.0003323879,0.00020757849,0.0000030718284,0.00023336285,0.000007843604,0.00055749185],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99764365,0.00039384427,0.0002589093,0.0004922272,0.0007476024,0.00046378843],"domain_scores_gemma":[0.99896175,0.00017714199,0.000028525206,0.00024977204,0.00011604675,0.00046675757],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005156992,0.00016273027,0.0003116683,0.00015923269,0.00020331965,0.00012436551,0.00023690592,0.00008807645,0.0003955073],"category_scores_gemma":[0.00007191904,0.00010719642,0.000045627603,0.00031678003,0.000106016276,0.00012969672,0.00021728872,0.00036759,0.00016227692],"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":[0.0074236444,0.00048872776,0.5119273,0.0015434448,0.000607695,0.0023438914,0.12645493,0.0805498,0.2083562,0.0007465743,0.02909438,0.030463377],"study_design_scores_gemma":[0.0017687783,0.0015169056,0.10822044,0.00021144382,0.000030550214,0.000028556364,0.0019555993,0.23981164,0.059151817,0.0027581865,0.5836003,0.0009457803],"about_ca_topic_score_codex":0.0096453065,"about_ca_topic_score_gemma":0.077416405,"teacher_disagreement_score":0.5545059,"about_ca_system_score_codex":0.0000030259746,"about_ca_system_score_gemma":0.000027606875,"threshold_uncertainty_score":0.99694955},"labels":[],"label_agreement":null},{"id":"W3109546043","doi":"10.1029/2020wr027591","title":"Comparing Streamflow Depletion Estimation Approaches in a Heavily Stressed, Conjunctively Managed Aquifer","year":2020,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Groundwater flow and contamination studies","field":"Environmental Science","cited_by":24,"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":"Natural Sciences and Engineering Research Council of Canada","keywords":"Streamflow; Hydrogeology; MODFLOW; Aquifer; Groundwater; Environmental science; Hydrology (agriculture); Groundwater model; Geology; Soil science; Groundwater flow; Geotechnical engineering; Geography","score_opus":0.13808691970895318,"score_gpt":0.2946319698750353,"score_spread":0.15654505016608214,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3109546043","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9891266,0.00002672792,0.0031397212,0.002377161,0.000015220298,0.00038615306,0.0000021709936,0.000048318678,0.0048778993],"genre_scores_gemma":[0.998488,0.000004303122,0.0002781561,0.00009659059,0.000036190133,0.000101407124,0.000026591211,0.000016402517,0.00095235114],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99765897,0.00036462815,0.00024210163,0.00046456166,0.00076739327,0.00050234224],"domain_scores_gemma":[0.99961066,0.00006121932,0.00002423912,0.00016708915,0.000018903169,0.00011787109],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007328128,0.00014206058,0.00019433012,0.0001183673,0.00027072206,0.00015526084,0.00030000714,0.00005570225,0.00029879977],"category_scores_gemma":[0.000047310674,0.000105777886,0.000036409612,0.00036846183,0.0002470606,0.000275032,0.000556689,0.00032838143,0.00085029704],"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":[0.0005546565,0.00033151504,0.7954382,0.00016599282,0.00006315616,0.000085097854,0.08609071,0.032009777,0.014458071,0.000120367404,0.0014909162,0.06919157],"study_design_scores_gemma":[0.0020126477,0.00031227086,0.66973114,0.000059278056,0.000013582823,0.000003831418,0.009883599,0.27323222,0.014071374,0.00029657228,0.029913781,0.00046966545],"about_ca_topic_score_codex":0.0010515271,"about_ca_topic_score_gemma":0.0005349031,"teacher_disagreement_score":0.24122246,"about_ca_system_score_codex":0.00016988351,"about_ca_system_score_gemma":0.0000030546753,"threshold_uncertainty_score":0.99992764},"labels":[],"label_agreement":null},{"id":"W3110660820","doi":"10.1029/2020wr028269","title":"Mobilization of Geochemical Elements to Surface Water in the Active Layer of Permafrost in the Russian Arctic","year":2020,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":30,"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":"Russian Foundation for Basic Research; National Natural Science Foundation of China","keywords":"Permafrost; Active layer; Surface water; Hydrology (agriculture); Riparian zone; Geology; Thermokarst; Arctic; Soil water; Surface layer; Groundwater; Soil horizon; Environmental science; Soil science; Layer (electronics); Oceanography; Habitat","score_opus":0.11391595743831207,"score_gpt":0.33021093754125663,"score_spread":0.21629498010294457,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3110660820","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99011743,0.000046673722,3.4875316e-7,0.0077028023,0.000011508963,0.00045033803,0.0004609029,0.0000021464855,0.0012078609],"genre_scores_gemma":[0.9985787,0.00002453612,0.0000060649754,0.00043036696,0.000048274836,0.0000056740264,0.00087418786,0.000003560953,0.000028584003],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9978941,0.0004995075,0.0002657538,0.00021031928,0.00069146795,0.0004388644],"domain_scores_gemma":[0.99948126,0.00019389426,0.000019299043,0.00020458037,0.00003986232,0.00006112087],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0014044478,0.000087470486,0.00014562938,0.000097647026,0.0000715904,0.00004868382,0.00058204593,0.000050875515,0.002650659],"category_scores_gemma":[0.000038102742,0.000036929665,0.00003368716,0.00041209848,0.00012213497,0.00008002386,0.00006974522,0.00029715084,0.0001257737],"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":[0.00029415896,0.00004959086,0.76158357,0.000089132205,0.000005469932,0.000014579569,0.1885194,0.0007326847,0.04834591,0.000003253184,0.00014364542,0.0002186241],"study_design_scores_gemma":[0.0007919586,0.0006708385,0.75911427,0.00009607531,0.00000817897,0.000006536476,0.03667265,0.004010694,0.17627814,0.00027273493,0.02186567,0.00021227325],"about_ca_topic_score_codex":0.007861712,"about_ca_topic_score_gemma":0.008688635,"teacher_disagreement_score":0.15184675,"about_ca_system_score_codex":0.000006611108,"about_ca_system_score_gemma":0.000007698486,"threshold_uncertainty_score":0.998745},"labels":[],"label_agreement":null},{"id":"W3111185395","doi":"10.1029/2020wr027698","title":"Vine Copula Ensemble Downscaling for Precipitation Projection Over the Loess Plateau Based on High‐Resolution Multi‐RCM Outputs","year":2020,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Climate variability and models","field":"Environmental Science","cited_by":21,"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 Prince Edward Island; University of Regina","funders":"Fundamental Research Funds for the Central Universities","keywords":"Downscaling; Loess plateau; Copula (linguistics); Precipitation; Climatology; Environmental science; Climate model; Vine copula; Geology; Climate change; Meteorology; Mathematics; Soil science; Econometrics; Geography","score_opus":0.09842580666756896,"score_gpt":0.3355495422542373,"score_spread":0.23712373558666833,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3111185395","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97770023,0.0000073243655,0.015264356,0.0047306065,0.00007455839,0.0015475298,0.00003052223,0.00006557108,0.00057928526],"genre_scores_gemma":[0.9977104,0.000003982793,0.0009982348,0.0003380005,0.00013518924,0.00025603888,0.000085779735,0.000025091318,0.00044728996],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99743897,0.00042675505,0.00025090927,0.00053365994,0.00079173537,0.0005579613],"domain_scores_gemma":[0.99914813,0.0003356613,0.000040072064,0.0003100679,0.000043915927,0.00012216215],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018423429,0.00014253549,0.00013663195,0.00007161067,0.00062612386,0.0001463198,0.0003189715,0.00011678313,0.00034455484],"category_scores_gemma":[0.00025881466,0.000085808366,0.000073410076,0.00026404878,0.00019133958,0.00016248458,0.00022229871,0.00033069617,0.00026650593],"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":[0.0037514772,0.0007495856,0.011736059,0.0003284163,0.000037983114,0.000006816905,0.034324095,0.6355254,0.30148542,0.00020913762,0.00433858,0.007507016],"study_design_scores_gemma":[0.0011722125,0.0004995585,0.0058139116,0.000031248797,0.00001044698,5.6253026e-7,0.00028813395,0.9335677,0.029233372,0.0003670514,0.028848002,0.00016779904],"about_ca_topic_score_codex":0.0015704805,"about_ca_topic_score_gemma":0.00019092507,"teacher_disagreement_score":0.29804227,"about_ca_system_score_codex":0.0002535754,"about_ca_system_score_gemma":0.000008968641,"threshold_uncertainty_score":0.48157018},"labels":[],"label_agreement":null},{"id":"W3112937095","doi":"10.1029/2020wr027498","title":"Evaluating the Ubiquity of Thresholds in Rainfall‐Runoff Response Across Contrasting Environments","year":2020,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":49,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Environment and Climate Change Canada; Université de Montréal; University of Guelph; University of Manitoba","funders":"","keywords":"Surface runoff; Environmental science; Evapotranspiration; Precipitation; Hydrology (agriculture); Range (aeronautics); Magnitude (astronomy); Temporal scales; Meteorology; Geography; Ecology; Geology","score_opus":0.1405357059449509,"score_gpt":0.4035962149673747,"score_spread":0.2630605090224238,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3112937095","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9891932,0.00004607194,0.000021495644,0.008149249,0.000017272456,0.00046864836,0.0000039121014,0.00001386046,0.0020863153],"genre_scores_gemma":[0.9984463,0.000014378603,0.00005603766,0.0004388498,0.000032512053,0.000057789657,0.0000021253743,0.000013920352,0.0009380727],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99601245,0.0014463738,0.00034390064,0.00043659547,0.000926739,0.0008339646],"domain_scores_gemma":[0.999079,0.000472599,0.000047650698,0.00030777883,0.000007339271,0.00008566604],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008826609,0.00013649951,0.00020604067,0.000043012646,0.0005408147,0.000040147723,0.0007008154,0.00007280263,0.00058448233],"category_scores_gemma":[0.0005112453,0.000080116835,0.000050242645,0.00028413866,0.0011800828,0.00012148661,0.0023134877,0.00048297126,0.00038676028],"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":[0.0039872285,0.000133639,0.478476,0.000047928483,0.000071062255,0.000067362766,0.15594734,0.020561533,0.33564317,0.000008595468,0.00057952775,0.004476604],"study_design_scores_gemma":[0.0038960434,0.0023511525,0.78707206,0.000078177894,0.000027818149,0.0000057824673,0.011806418,0.028711906,0.07913445,0.0011069123,0.085221305,0.0005879642],"about_ca_topic_score_codex":0.00031500738,"about_ca_topic_score_gemma":0.00006899714,"teacher_disagreement_score":0.30859607,"about_ca_system_score_codex":0.000086246255,"about_ca_system_score_gemma":0.0000032532564,"threshold_uncertainty_score":0.63996714},"labels":[],"label_agreement":null},{"id":"W3113249571","doi":"10.1029/2020wr028944","title":"A Self‐Calibration Variance‐Component Model for Spatial Downscaling of GRACE Observations Using Land Surface Model Outputs","year":2020,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Geophysics and Gravity Measurements","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":false,"ca_institutions":"Natural Resources Canada","funders":"Natural Resources Canada","keywords":"Downscaling; Environmental science; Anomaly (physics); Precipitation; Meteorology; Geography","score_opus":0.21288914787941943,"score_gpt":0.30677527405164917,"score_spread":0.09388612617222974,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3113249571","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91490704,0.000048531136,0.083393216,0.00092344644,0.000026862588,0.00045062354,0.00017023785,0.000022535605,0.000057515637],"genre_scores_gemma":[0.9855701,0.000005327376,0.013992668,0.000060713475,0.00008663128,0.0000027687925,0.000182635,0.0000078520625,0.000091331836],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9981255,0.00011727903,0.00026507737,0.00030739105,0.0007579907,0.00042675572],"domain_scores_gemma":[0.99933475,0.00006167939,0.000050324143,0.00016571642,0.00022542891,0.00016208352],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007649112,0.00011369318,0.00018527459,0.000056996687,0.00033022487,0.000111404755,0.0002745929,0.00006462073,0.000023069302],"category_scores_gemma":[0.00003059093,0.00008567609,0.00006801373,0.00018485577,0.00005095441,0.00019972715,0.000047841306,0.00017721436,0.00001075214],"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":[0.00012353566,0.00003464705,0.04467889,0.00010145274,0.000023436045,6.8360197e-7,0.0049652816,0.9310422,0.018828792,0.0000274199,0.000026300824,0.00014736212],"study_design_scores_gemma":[0.00036141303,0.00007891353,0.0036492434,0.000017459077,0.000012452593,2.351381e-7,0.00004366256,0.9891108,0.004581123,0.0017763773,0.00026017404,0.00010809839],"about_ca_topic_score_codex":0.0029837273,"about_ca_topic_score_gemma":0.00037029263,"teacher_disagreement_score":0.07066304,"about_ca_system_score_codex":0.00000778007,"about_ca_system_score_gemma":0.00005499685,"threshold_uncertainty_score":0.4510523},"labels":[],"label_agreement":null},{"id":"W3120092772","doi":"10.1029/2020wr028479","title":"Quantifying Groundwater Recharge Dynamics and Unsaturated Zone Processes in Snow‐Dominated Catchments via On‐Site Dissolved Gas Analysis","year":2021,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Groundwater and Isotope Geochemistry","field":"Earth and Planetary Sciences","cited_by":56,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval; CentrEau - Quebec Water Management Research Centre","funders":"Natural Sciences and Engineering Research Council of Canada; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung","keywords":"Groundwater recharge; Snowmelt; Hydrology (agriculture); Environmental science; TRACER; Groundwater; Snow; Depression-focused recharge; Meltwater; Drainage basin; Geology; Aquifer; Geomorphology; Geography","score_opus":0.037506419458694526,"score_gpt":0.29206468382437417,"score_spread":0.25455826436567963,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3120092772","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9973282,0.00037160917,0.00006835483,0.00057613116,0.00004925687,0.00022119701,0.000064222135,0.000040440755,0.0012805859],"genre_scores_gemma":[0.99174786,0.00019086259,0.000092357535,0.00005493449,0.00004564773,0.000009924612,0.002538987,0.000012377895,0.0053070267],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9964076,0.0004785656,0.00040741853,0.0008364932,0.0007890009,0.0010808902],"domain_scores_gemma":[0.99873555,0.00024367226,0.000042610012,0.00043112264,0.0003026198,0.00024445675],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0012141129,0.00027065544,0.00042249708,0.000584877,0.00039841447,0.0005718783,0.0003438641,0.00017898185,0.0014379366],"category_scores_gemma":[0.000113260474,0.00018647715,0.00007499988,0.0021023059,0.00020097663,0.00026542653,0.00012797627,0.000648493,0.00022897476],"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":[0.00042624137,0.00016402584,0.9746676,0.00028202884,0.00024415448,0.0005635789,0.0065965387,0.00042295418,0.009040917,0.000001816939,0.00004061691,0.0075494936],"study_design_scores_gemma":[0.002981111,0.0005689346,0.5869043,0.00045954442,0.00022887049,0.00012777174,0.005037813,0.11192383,0.2809096,0.00038680446,0.008960149,0.0015112647],"about_ca_topic_score_codex":0.009744054,"about_ca_topic_score_gemma":0.03989128,"teacher_disagreement_score":0.38776332,"about_ca_system_score_codex":0.000045507055,"about_ca_system_score_gemma":0.000041445626,"threshold_uncertainty_score":0.9994749},"labels":[],"label_agreement":null},{"id":"W3120734760","doi":"10.1029/2020wr028382","title":"DNA Tracer Transport Through Porous Media—The Effect of DNA Length and Adsorption","year":2021,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Groundwater flow and contamination studies","field":"Environmental Science","cited_by":36,"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":"TRACER; DNA; Adsorption; Porous medium; Bromide; Chemistry; Porosity; Materials science; Chromatography; Geology; Geotechnical engineering; Physics; Biochemistry","score_opus":0.025502079825721963,"score_gpt":0.28125948555889324,"score_spread":0.2557574057331713,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3120734760","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99565953,0.0002914804,0.000058737503,0.0010498139,0.00004000456,0.0002071405,0.0000053234185,0.000015062223,0.0026729081],"genre_scores_gemma":[0.9944703,0.00008780254,0.000018657607,0.00003172135,0.0000458378,0.00004745664,0.000013157376,0.000012453531,0.005272631],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9977878,0.0004622836,0.00019774333,0.00031426706,0.0008625354,0.00037537405],"domain_scores_gemma":[0.9994127,0.00022790287,0.000020829824,0.0002534607,0.00003241764,0.000052688098],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012375423,0.000115878596,0.00018489518,0.000034438377,0.0002478808,0.000039468272,0.000198479,0.000059869097,0.0007742395],"category_scores_gemma":[0.000037961712,0.000061605286,0.00005138266,0.00020366644,0.00058635796,0.00015323826,0.00022129224,0.0002143167,0.00013275005],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00034369668,0.00014911468,0.2696906,0.0001926593,0.00013588251,0.00013916541,0.12266787,0.000059669936,0.5126671,0.00005565757,0.001234909,0.092663616],"study_design_scores_gemma":[0.0008133424,0.00029921296,0.19321649,0.000025775802,0.000029118377,0.00002788939,0.0018590374,0.000043922497,0.6457099,0.00014235768,0.15767765,0.00015534318],"about_ca_topic_score_codex":0.0004676736,"about_ca_topic_score_gemma":0.0004519643,"teacher_disagreement_score":0.15644275,"about_ca_system_score_codex":0.00004368625,"about_ca_system_score_gemma":0.0000032117323,"threshold_uncertainty_score":0.8477379},"labels":[],"label_agreement":null},{"id":"W3122975294","doi":"10.1029/2020wr028048","title":"Pool‐Riffle Adjustment Due to Changes in Flow and Sediment Supply","year":2021,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Sediment Transport Processes","field":"Environmental Science","cited_by":23,"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; University of British Columbia","funders":"","keywords":"Riffle; Bed load; Flume; Hydrology (agriculture); Sediment; Hydrograph; Geology; Sorting; Cobble; Bedform; Hyperconcentrated flow; STREAMS; Sediment transport; Flow (mathematics); Watershed; Flow conditions; Environmental science; Geomorphology; Geotechnical engineering; Flood myth; Ecology; Geography; Geometry","score_opus":0.02468673889130913,"score_gpt":0.2808696194887516,"score_spread":0.2561828805974425,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122975294","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9865354,0.000404991,0.000010808747,0.009427772,0.000039748596,0.00026095656,0.000006748531,0.000018328377,0.0032952477],"genre_scores_gemma":[0.9944365,0.00013105288,0.000260141,0.0007374097,0.000055136854,0.000113098366,0.000023069988,0.00001347552,0.0042300965],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9978792,0.00019199876,0.00014850392,0.00050282676,0.00058704935,0.00069042604],"domain_scores_gemma":[0.99948555,0.000052004394,0.0000072405956,0.00022959377,0.00001628396,0.00020932622],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00084123923,0.00012036159,0.00016393153,0.00011961973,0.00016398316,0.000042103246,0.00021737888,0.00008613216,0.007256045],"category_scores_gemma":[0.000018884211,0.000088966146,0.000017918826,0.00031812704,0.00019026965,0.00008053719,0.00041616394,0.0002745056,0.00072315615],"study_design_candidate":"bench_or_experimental","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":[0.0008400087,0.0014972099,0.40903863,0.00033833075,0.000107954766,0.004494503,0.11851079,0.012082621,0.32124493,0.000057313857,0.011202,0.120585695],"study_design_scores_gemma":[0.00089028466,0.0004383646,0.1387319,0.00006071627,0.000008899319,0.000051530995,0.0010046308,0.0008757624,0.36303952,0.00047158104,0.49411044,0.00031635264],"about_ca_topic_score_codex":0.00046998824,"about_ca_topic_score_gemma":0.0031566978,"teacher_disagreement_score":0.48290843,"about_ca_system_score_codex":0.000085985695,"about_ca_system_score_gemma":0.000008505046,"threshold_uncertainty_score":0.99365145},"labels":[],"label_agreement":null},{"id":"W3125386902","doi":"10.1029/2020wr028830","title":"Observation‐Constrained Projection of Global Flood Magnitudes With Anthropogenic Warming","year":2021,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":51,"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; Global warming; Flooding (psychology); Environmental science; Drainage basin; Streamflow; Hydrology (agriculture); Evapotranspiration; 100-year flood; Climate change; Climatology; Flood forecasting; Physical geography; Geography; Geology; Ecology","score_opus":0.04452280554502343,"score_gpt":0.30978374350298243,"score_spread":0.265260937957959,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125386902","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9858635,0.000047821264,0.00009321681,0.0015483721,0.000024346304,0.00019329698,0.0000034824661,0.00002638942,0.0121995555],"genre_scores_gemma":[0.9967502,0.000025586349,0.0007809326,0.000040507315,0.000025738796,0.000026517126,0.000009702428,0.0000070540364,0.0023337891],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9983686,0.00021765493,0.00015886835,0.00032080535,0.00051530113,0.00041875883],"domain_scores_gemma":[0.99964327,0.000029095605,0.00002286364,0.0002103679,0.000050531256,0.000043867254],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005789498,0.0000941114,0.00013111689,0.000035130102,0.0003546412,0.000030602838,0.00017699768,0.00004786196,0.0009851943],"category_scores_gemma":[0.00003473607,0.000060648905,0.000031846503,0.00043309922,0.00082334934,0.00013510112,0.0004955781,0.00013731986,0.00015723758],"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":[0.00017359467,0.00022256396,0.9636633,0.00008766275,0.0001451316,0.0001238349,0.0038926,0.00093818037,0.026305048,0.00009085164,0.0003715216,0.0039857556],"study_design_scores_gemma":[0.0023581593,0.0010988306,0.6783347,0.00011902836,0.000099694545,0.00009666032,0.0069456683,0.0012121482,0.23868284,0.0025789263,0.06790695,0.00056637544],"about_ca_topic_score_codex":0.00057330716,"about_ca_topic_score_gemma":0.0006030778,"teacher_disagreement_score":0.28532854,"about_ca_system_score_codex":0.00008451474,"about_ca_system_score_gemma":0.000009190574,"threshold_uncertainty_score":0.99992806},"labels":[],"label_agreement":null},{"id":"W3127413172","doi":"10.1029/2020wr028712","title":"Predicting Latent and Sensible Heat Fluxes in Stream Temperature Models: Current Challenges and Potential Solutions","year":2021,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Fish Ecology and Management Studies","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":"Trent University; Natural Resources Canada; Canadian Forest Service; University of British Columbia","funders":"","keywords":"Sensible heat; Latent heat; Environmental science; Evaporation; Current (fluid); Heat flux; Meteorology; Wind speed; Atmospheric sciences; Heat transfer; Climatology; Thermodynamics; Geology; Geography; Physics","score_opus":0.0620310614278919,"score_gpt":0.28303432830787084,"score_spread":0.22100326687997895,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3127413172","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9853101,0.0053206705,0.0000013028881,0.004000739,0.000041093695,0.0001706853,0.0000033472245,0.000018503602,0.00513357],"genre_scores_gemma":[0.98764294,0.011229742,0.00003515617,0.000025138364,0.000035759094,0.000029910081,0.0000065429003,0.000007421008,0.0009873587],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984669,0.00022836229,0.00011895639,0.0004010803,0.00028440077,0.00050026627],"domain_scores_gemma":[0.9997265,0.000042246993,0.0000064956625,0.00013854666,0.000017381193,0.00006883565],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006101542,0.00009486583,0.00012142875,0.00008181549,0.00046545127,0.00005859375,0.00007959152,0.00006427994,0.00010681911],"category_scores_gemma":[0.000024327208,0.000070428214,0.000015550877,0.000098878634,0.00032269946,0.00015480201,0.0014407367,0.00033120543,0.00001976033],"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":[0.00029969352,0.0017433289,0.7551914,0.0010469744,0.00033931207,0.0016547383,0.11368045,0.029543078,0.029144583,0.001022244,0.017292853,0.049041357],"study_design_scores_gemma":[0.001714183,0.00032782243,0.90812314,0.00022622038,0.000038371163,0.00011426693,0.013174934,0.03500595,0.0029982347,0.009526077,0.028209854,0.000540976],"about_ca_topic_score_codex":0.00017568351,"about_ca_topic_score_gemma":0.0027420418,"teacher_disagreement_score":0.15293172,"about_ca_system_score_codex":0.00004535031,"about_ca_system_score_gemma":0.0000031607044,"threshold_uncertainty_score":0.35799217},"labels":[],"label_agreement":null},{"id":"W3128150297","doi":"10.1029/2020wr028300","title":"How Do Climate and Catchment Attributes Influence Flood Generating Processes? A Large‐Sample Study for 671 Catchments Across the Contiguous USA","year":2021,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":175,"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":"Engineering and Physical Sciences Research Council","keywords":"Flood myth; Hydrometeorology; Environmental science; Snowmelt; Climate change; Precipitation; 100-year flood; Drainage basin; Hydrology (agriculture); Flood forecasting; Flash flood; Snow; Climatology; Meteorology; Geography; Geology; Cartography","score_opus":0.04287769086286694,"score_gpt":0.3364138251106404,"score_spread":0.2935361342477735,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3128150297","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99412256,0.00035547602,0.00010822399,0.003964063,0.00003635869,0.0012485182,0.00006194953,0.000023535213,0.000079284146],"genre_scores_gemma":[0.99694914,0.0001290806,0.00019013163,0.00023017472,0.000058193447,0.00074539706,0.000021714646,0.000017497658,0.0016586891],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9967337,0.00036902004,0.00022962065,0.0007046204,0.00066096283,0.001302041],"domain_scores_gemma":[0.9990361,0.00029780535,0.000045347308,0.0004156615,0.00010372136,0.00010137502],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0025674705,0.00020052292,0.00023558193,0.00003318969,0.0025968887,0.0006365275,0.00045358308,0.00005943308,0.00006300224],"category_scores_gemma":[0.0003433592,0.00011691309,0.000037745493,0.0002818024,0.00045734842,0.00024229451,0.0026921546,0.000261872,0.000055640885],"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":[0.00008522079,0.0003728229,0.93413925,0.00017158488,0.00013953305,0.000053738546,0.059807777,0.000753822,0.0032533098,0.0000074686495,0.0005480004,0.0006674772],"study_design_scores_gemma":[0.008445307,0.002206139,0.3220742,0.00015520559,0.00019415343,0.00003544788,0.10657147,0.001973742,0.07212612,0.0013461468,0.48346078,0.0014112822],"about_ca_topic_score_codex":0.00070010155,"about_ca_topic_score_gemma":0.0026470094,"teacher_disagreement_score":0.612065,"about_ca_system_score_codex":0.0000680259,"about_ca_system_score_gemma":0.000007489239,"threshold_uncertainty_score":0.9987016},"labels":[],"label_agreement":null},{"id":"W3128453733","doi":"10.1029/2020wr029190","title":"Spontaneous Imbibition in a Square Tube With Corner Films: Theoretical Model and Numerical Simulation","year":2021,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Lattice Boltzmann Simulation Studies","field":"Engineering","cited_by":38,"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":"Los Alamos National Laboratory; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; Laboratory Directed Research and Development; National Supercomputing Centre Singapore; Centro Svizzero di Calcolo Scientifico; National Science Foundation","keywords":"Imbibition; Capillary action; Bundle; Lattice Boltzmann methods; Mechanics; Scaling; Surface tension; Wetting; Materials science; Physics; Thermodynamics; Geometry; Mathematics; Composite material","score_opus":0.031735437289869155,"score_gpt":0.3011086655282058,"score_spread":0.26937322823833665,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3128453733","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9934545,0.0001824219,0.0028111294,0.00020343841,0.0000106892685,0.0001884267,0.000006506863,0.00009250417,0.0030503583],"genre_scores_gemma":[0.9991136,0.000015642992,0.00044392393,0.000025056115,0.000033110366,0.000029293684,0.00002012235,0.000037929483,0.00028132362],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998423,0.00015425339,0.00019392994,0.00027957343,0.00051500014,0.00043427479],"domain_scores_gemma":[0.9992218,0.00030037895,0.000006162049,0.00020385397,0.00018073549,0.00008709361],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003510836,0.00012932954,0.0001827671,0.00017781783,0.00011025121,0.00011268271,0.00007011851,0.00008536789,0.000173107],"category_scores_gemma":[0.00007372352,0.00009025772,0.000021591772,0.0002843976,0.00019390816,0.0001095975,0.00012313241,0.0003552038,0.00003970336],"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":[0.00013053279,0.00003109642,0.0011246197,0.00008120955,0.00001933249,0.000628337,0.005596855,0.9899267,0.0015685942,0.00045800925,0.000037328762,0.00039738114],"study_design_scores_gemma":[0.00050068635,0.000053387044,0.001396714,0.00006189133,0.000005737539,0.00008922841,0.0006870955,0.99392366,0.0012335967,0.0012710105,0.0006315066,0.0001454816],"about_ca_topic_score_codex":0.000011338397,"about_ca_topic_score_gemma":0.000026494845,"teacher_disagreement_score":0.005659072,"about_ca_system_score_codex":0.000069219976,"about_ca_system_score_gemma":0.000010557101,"threshold_uncertainty_score":0.3680603},"labels":[],"label_agreement":null},{"id":"W3130594877","doi":"10.1029/2020wr028284","title":"Hydrodynamics, Sediment Transport and Morphological Features at the Confluence Between the Yangtze River and the Poyang Lake","year":2021,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Sediment Transport Processes","field":"Environmental Science","cited_by":167,"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 Ottawa","funders":"National Natural Science Foundation of China","keywords":"Downwelling; Confluence; Sediment transport; Sediment; Geology; Hydrology (agriculture); River morphology; Flow (mathematics); Sedimentary rock; Sedimentary structures; Geomorphology; Upwelling; Sedimentary depositional environment; Geotechnical engineering; Geometry; Oceanography; Geochemistry","score_opus":0.019142773847206872,"score_gpt":0.26371849537170894,"score_spread":0.24457572152450208,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3130594877","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9749995,0.001138415,0.000007455475,0.020594249,0.00001880644,0.00033376383,0.000021277932,0.000016800075,0.002869752],"genre_scores_gemma":[0.9927443,0.00034910493,0.000012672605,0.00076905976,0.00004988198,0.000045822602,0.000031358806,0.000010426239,0.0059873196],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9976126,0.0005344609,0.00018375766,0.00046336802,0.0006738545,0.0005319466],"domain_scores_gemma":[0.99899924,0.0004886941,0.000022481343,0.00037158397,0.000019754403,0.000098236145],"candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002145512,0.00015066122,0.00018043278,0.000019031168,0.0012712914,0.00006903349,0.0004880026,0.00011697595,0.0017073873],"category_scores_gemma":[0.000030230018,0.00005538406,0.000050689327,0.00015965615,0.0058089932,0.00007625364,0.00047765387,0.0006387409,0.000096717966],"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":[0.0004997094,0.00007411538,0.9517801,0.000040923438,0.00015038223,0.00043771285,0.036615767,0.0010770897,0.00568121,0.00016427023,0.0013607085,0.0021180157],"study_design_scores_gemma":[0.0011352756,0.000092225906,0.72064936,0.0000150917895,0.000067560686,0.00014825215,0.0005791964,0.0002397122,0.006578979,0.001532017,0.26876682,0.00019551825],"about_ca_topic_score_codex":0.00048644253,"about_ca_topic_score_gemma":0.0014792453,"teacher_disagreement_score":0.2674061,"about_ca_system_score_codex":0.00002533757,"about_ca_system_score_gemma":0.000006546184,"threshold_uncertainty_score":0.9992052},"labels":[],"label_agreement":null},{"id":"W3131967682","doi":"10.1029/2020wr028714","title":"Discharge Estimation From Dense Arrays of Pressure Transducers","year":2021,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Water Systems and Optimization","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan; University of Victoria; Environment and Climate Change Canada","funders":"Nuclear Safety and Security Commission","keywords":"Rating curve; Sensitivity (control systems); Environmental science; Computer science; Marine engineering; Geology; Engineering; Electronic engineering","score_opus":0.026748501995451472,"score_gpt":0.26370964099725713,"score_spread":0.23696113900180565,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3131967682","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9784923,0.0007921399,0.016319314,0.00015731386,0.00013908668,0.00018456386,0.00005136532,0.00009275068,0.003771127],"genre_scores_gemma":[0.9961866,0.000029549023,0.0011853668,0.0000025387449,0.00009502846,0.000020608602,0.000118543074,0.00003051999,0.0023312462],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9987456,0.00014493441,0.00021900411,0.00017939098,0.00041823098,0.0002928412],"domain_scores_gemma":[0.999474,0.000039587412,0.000009888043,0.0002760487,0.00013275733,0.00006774745],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029183942,0.00009021904,0.00015573016,0.00010980959,0.000068436144,0.000078598285,0.00014384359,0.00008399243,0.0003296637],"category_scores_gemma":[0.000018296498,0.00006779141,0.000045538385,0.00016721281,0.000041029016,0.00012069267,0.000038780745,0.00018069253,0.000058271977],"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":[0.000030867846,0.000040653056,0.00085101527,0.00045016542,0.0001521713,0.000022645425,0.028965466,0.7959018,0.16983457,0.000036457797,0.0026226675,0.0010915574],"study_design_scores_gemma":[0.00032679187,0.000022092585,0.0005053447,0.00009964908,0.000016025011,0.000003107169,0.00040074685,0.308202,0.647303,0.00019314533,0.042793613,0.00013452691],"about_ca_topic_score_codex":0.00021796153,"about_ca_topic_score_gemma":0.00007655941,"teacher_disagreement_score":0.48769978,"about_ca_system_score_codex":0.000020110325,"about_ca_system_score_gemma":0.0000076115475,"threshold_uncertainty_score":0.36095864},"labels":[],"label_agreement":null},{"id":"W3133490427","doi":"10.1029/2020wr028921","title":"Comparing Assimilation of Synthetic Soil Moisture Versus C‐Band Backscatter for Hyper‐Resolution Land Surface Modeling","year":2021,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Soil Moisture and Remote Sensing","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":true,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Data assimilation; Environmental science; Water content; Backscatter (email); Remote sensing; Surface roughness; Soil science; Ensemble Kalman filter; Moisture; Soil texture; Soil water; Meteorology; Geology; Kalman filter; Mathematics; Materials science; Geography; Statistics; Extended Kalman filter; Computer science","score_opus":0.0881677111748044,"score_gpt":0.312732507138479,"score_spread":0.2245647959636746,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3133490427","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9824076,0.00011873277,0.0008019725,0.000721152,0.000104999825,0.00018138882,0.0000017862784,0.000018069775,0.015644262],"genre_scores_gemma":[0.9983363,0.000015563348,0.0006483064,0.000017763305,0.00009540522,0.0000019499153,0.000028717297,0.000021992195,0.00083400396],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9981204,0.00020523039,0.00021989006,0.0003739095,0.0006124459,0.00046812388],"domain_scores_gemma":[0.9993457,0.00016848069,0.000028833494,0.00029779156,0.00007956089,0.00007959729],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00076333113,0.00011576871,0.00018964072,0.00004994543,0.00030209564,0.00007320556,0.00016443907,0.00011160647,0.0000680571],"category_scores_gemma":[0.0000719172,0.000084115934,0.00007738488,0.00017927773,0.00016939614,0.000092043,0.00021440539,0.0002438728,0.000060469174],"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":[0.0005442519,0.00010251185,0.098945186,0.00011456831,0.000049599737,0.000009486616,0.005553463,0.68525857,0.20572014,0.0000033812848,0.00064012705,0.0030587027],"study_design_scores_gemma":[0.0018744097,0.000136799,0.02898143,0.00013969057,0.000042949905,0.00001644523,0.0010391996,0.7175656,0.23776692,0.0003914458,0.01171965,0.00032548246],"about_ca_topic_score_codex":0.0014001667,"about_ca_topic_score_gemma":0.0025205996,"teacher_disagreement_score":0.06996376,"about_ca_system_score_codex":0.00012821313,"about_ca_system_score_gemma":0.000009798774,"threshold_uncertainty_score":0.34301484},"labels":[],"label_agreement":null},{"id":"W3135464986","doi":"10.1029/2020wr028742","title":"MPS‐Based Model to Solve One‐Dimensional Shallow Water Equations","year":2021,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Fluid Dynamics Simulations and Interactions","field":"Engineering","cited_by":10,"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 Regina","funders":"Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada","keywords":"Discretization; Mechanics; Flow (mathematics); Mathematics; Momentum (technical analysis); Solver; Shallow water equations; Computation; Smoothed-particle hydrodynamics; RADIUS; Shock (circulatory); Mathematical analysis; Mathematical optimization; Physics; Computer science","score_opus":0.0829044513733461,"score_gpt":0.32784132925812576,"score_spread":0.24493687788477966,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3135464986","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.90235484,0.000052029092,0.08188848,0.0029027069,0.00014461331,0.00027947262,0.000052025556,0.00020807836,0.012117772],"genre_scores_gemma":[0.986937,0.0000028958154,0.005883371,0.00014675777,0.00009709134,0.00009716181,0.00023803588,0.00005581475,0.0065419003],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99808836,0.000058876412,0.00025442764,0.00030103483,0.00062839244,0.0006689259],"domain_scores_gemma":[0.99876416,0.00013665683,0.0000038012918,0.0004526123,0.00043966237,0.00020312342],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00037038844,0.00013697955,0.00014293849,0.00041873087,0.00036657462,0.00021387091,0.00020862809,0.000090386064,0.0015124511],"category_scores_gemma":[0.00005427772,0.000103265935,0.00008795236,0.0002593284,0.000044904813,0.00014689242,0.00019524127,0.00042357287,0.0016662565],"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":[0.000010218131,0.000059604754,0.000017372897,0.0000170649,0.00002725305,0.000009030973,0.00119048,0.79972684,0.19764024,0.0003176264,0.00086914113,0.00011511339],"study_design_scores_gemma":[0.00018461052,0.000026111182,0.000035614336,0.00002981338,0.000005556094,0.0000018083324,0.000055372944,0.92192584,0.057703137,0.0006526979,0.019227713,0.00015174047],"about_ca_topic_score_codex":0.000054764176,"about_ca_topic_score_gemma":0.00025090235,"teacher_disagreement_score":0.1399371,"about_ca_system_score_codex":0.00016533119,"about_ca_system_score_gemma":0.000031410804,"threshold_uncertainty_score":0.9994003},"labels":[],"label_agreement":null},{"id":"W3135476411","doi":"10.1029/2020wr028362","title":"A Framework for Untangling Transient Groundwater Mixing and Travel Times","year":2021,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Groundwater and Isotope Geochemistry","field":"Earth and Planetary Sciences","cited_by":55,"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":"","keywords":"Groundwater; Aquifer; TRACER; Hydrology (agriculture); Mixing (physics); Environmental science; Geology; Hydrogeology; Soil science; Geotechnical engineering","score_opus":0.04844359646045578,"score_gpt":0.29459557583424906,"score_spread":0.24615197937379327,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3135476411","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99189895,0.0010868014,0.0012864365,0.0011509404,0.00011776498,0.00022370116,0.00003182324,0.00002625706,0.0041772937],"genre_scores_gemma":[0.9910308,0.000050874354,0.003216848,0.00011243786,0.0002606648,0.000010796881,0.0001955859,0.000010255799,0.00511171],"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99789417,0.00014828157,0.00020535784,0.00047862576,0.00045035247,0.0008231902],"domain_scores_gemma":[0.99913377,0.00028274386,0.000012335922,0.0002408177,0.00013484115,0.00019549773],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00087560166,0.0001458412,0.00019346554,0.00009549391,0.0005077056,0.00043879714,0.00021734391,0.00012983923,0.0017465351],"category_scores_gemma":[0.000057558605,0.000098268356,0.00007283475,0.00015741946,0.00019917698,0.00013188302,0.000046347646,0.0003580937,0.00011798974],"study_design_candidate":"bench_or_experimental","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":[0.0023832796,0.0006354472,0.37755078,0.0040200017,0.00078366045,0.0017275539,0.20072684,0.00084733684,0.23598148,0.0013486911,0.0051827217,0.1688122],"study_design_scores_gemma":[0.001867438,0.0006783429,0.053165216,0.00038952558,0.000054984197,0.00034748437,0.014206207,0.006332392,0.5379167,0.051063627,0.33288655,0.001091513],"about_ca_topic_score_codex":0.00045724775,"about_ca_topic_score_gemma":0.00020673237,"teacher_disagreement_score":0.32770383,"about_ca_system_score_codex":0.0000072303924,"about_ca_system_score_gemma":0.000021450896,"threshold_uncertainty_score":0.999166},"labels":[],"label_agreement":null},{"id":"W3136513908","doi":"10.1029/2020wr028713","title":"Changing River Network Synchrony Modulates Projected Increases in High Flows","year":2021,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Climate variability and models","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":"Canmore Museum and Geoscience Centre; University of Saskatchewan","funders":"Directorate for Geosciences; National Science Foundation","keywords":"Tributary; Streamflow; Confluence; Climate change; Environmental science; Flood myth; Drainage basin; Structural basin; Hydrology (agriculture); Global warming; Climatology; Flow (mathematics); Geology; Geography; Oceanography","score_opus":0.03545519760477249,"score_gpt":0.2846751132962236,"score_spread":0.24921991569145108,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3136513908","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.996497,0.00008149135,0.000022898153,0.0003738179,0.00003125195,0.00031705858,0.0000071588197,0.000046351888,0.0026230144],"genre_scores_gemma":[0.997314,0.000042980708,0.00061580515,0.00006716368,0.00012384057,0.00007240618,0.00004675976,0.000022124334,0.0016949286],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9967017,0.0006582537,0.00023671109,0.00056897034,0.000676449,0.0011579118],"domain_scores_gemma":[0.99919224,0.00018348389,0.000015484162,0.00044782273,0.00003218661,0.00012878701],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0018003333,0.0001382128,0.000197236,0.00014414825,0.0003186198,0.000110385176,0.0003243838,0.0001091619,0.0041176025],"category_scores_gemma":[0.0001236872,0.00010427647,0.000048081703,0.0010379752,0.0002845325,0.00018025117,0.0014413517,0.00037667117,0.0006204953],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00042345925,0.001476846,0.47957003,0.00028367213,0.000083063824,0.001208304,0.04530437,0.34380928,0.115055256,0.00023657606,0.0020716535,0.010477477],"study_design_scores_gemma":[0.0039934563,0.0004770166,0.29649684,0.000736256,0.00004068218,0.00011417956,0.0037614221,0.4545034,0.07753408,0.030315781,0.13006991,0.0019569925],"about_ca_topic_score_codex":0.0066420143,"about_ca_topic_score_gemma":0.0013171792,"teacher_disagreement_score":0.18307321,"about_ca_system_score_codex":0.00025982177,"about_ca_system_score_gemma":0.00001360027,"threshold_uncertainty_score":0.9999728},"labels":[],"label_agreement":null},{"id":"W3138019207","doi":"10.1029/2020wr029049","title":"Tracing and Closing the Water Balance in a Vegetated Lysimeter","year":2021,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":48,"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":"Transpiration; Lysimeter; Environmental science; Evapotranspiration; Water balance; Soil water; Hydrology (agriculture); Groundwater recharge; Soil science; Groundwater; Geology; Aquifer; Chemistry; Ecology","score_opus":0.029783685449936082,"score_gpt":0.28807901157258176,"score_spread":0.25829532612264566,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3138019207","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9824452,0.00012377725,0.00000952994,0.0084057795,0.000022522947,0.00013977016,3.6279948e-7,0.000014145775,0.008838921],"genre_scores_gemma":[0.99393517,0.00004574185,0.000038745053,0.00029157745,0.000023323666,0.000029393645,0.0000035845098,0.000009486717,0.005623],"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9980312,0.00047794913,0.00014751407,0.00035614966,0.00033188405,0.0006552889],"domain_scores_gemma":[0.9996307,0.00007792543,0.0000070812916,0.00023250812,0.000009811104,0.000041986612],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001471058,0.000095409196,0.00012332929,0.00006719541,0.00045139217,0.00009331558,0.00020050006,0.000047994177,0.00056735193],"category_scores_gemma":[0.000025608066,0.000040404553,0.000024090708,0.00018563423,0.0005113232,0.000118079915,0.0010503258,0.00033847784,0.0004663704],"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":[0.00020724072,0.00020136517,0.60120374,0.00011288241,0.00014123986,0.0010883634,0.14267996,0.0033328463,0.23963453,0.00002415648,0.0018951767,0.009478498],"study_design_scores_gemma":[0.0015641352,0.00014716254,0.15782604,0.00009429753,0.000029719582,0.000055472028,0.003327295,0.0061174366,0.50625044,0.005861161,0.31820306,0.000523744],"about_ca_topic_score_codex":0.00029440474,"about_ca_topic_score_gemma":0.0002555216,"teacher_disagreement_score":0.4433777,"about_ca_system_score_codex":0.00004216835,"about_ca_system_score_gemma":0.0000010208025,"threshold_uncertainty_score":0.6212106},"labels":[],"label_agreement":null},{"id":"W3138387305","doi":"10.1029/2020wr029480","title":"Open Science: Open Data, Open Models, …and Open Publications?","year":2021,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Research Data Management Practices","field":"Computer Science","cited_by":36,"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":"","keywords":"Open science; Open data; Publishing; Computer science; Open research; Open access publishing; Scientific publishing; Data science; Business; Political science; World Wide Web; Mathematics","score_opus":0.5876839630912565,"score_gpt":0.5326815039159573,"score_spread":0.05500245917529922,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3138387305","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.012892241,0.00052261393,0.017626826,0.16407235,0.00015277609,0.008974229,0.00015662155,0.000103596845,0.7954987],"genre_scores_gemma":[0.20753796,0.0025680796,0.19196786,0.0026264542,0.00022582053,0.0025931743,0.0012941879,0.00012839823,0.5910581],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9888386,0.0021509728,0.00054298545,0.0036473656,0.0030849609,0.0017350954],"domain_scores_gemma":[0.9850627,0.0005272309,0.00012009916,0.012075266,0.0014385871,0.0007760924],"candidate_categories":["metaresearch","sts","scholarly_communication","open_science"],"consensus_categories":["scholarly_communication","open_science"],"category_scores_codex":[0.04752787,0.00023823901,0.00042709225,0.00080141146,0.0032585396,0.4164451,0.25840104,0.000075769305,0.00039257255],"category_scores_gemma":[0.0025454464,0.00017862709,0.000019397525,0.004189183,0.0010099567,0.30777454,0.7358742,0.00087035465,0.00034840574],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018250031,0.0009303794,0.00086861744,0.000100655496,0.00016852382,0.00028035286,0.0042249914,0.00008604717,0.0030338224,0.80422777,0.12325872,0.06263761],"study_design_scores_gemma":[0.0009915575,0.00010410762,0.000697128,0.000054852822,0.0000049504447,0.000033181786,0.00089420646,0.025287457,0.0027141192,0.022893693,0.94601643,0.00030831972],"about_ca_topic_score_codex":0.016105393,"about_ca_topic_score_gemma":0.0012143156,"teacher_disagreement_score":0.8227577,"about_ca_system_score_codex":0.0001902052,"about_ca_system_score_gemma":0.0016549286,"threshold_uncertainty_score":0.99803907},"labels":[],"label_agreement":null},{"id":"W3138529858","doi":"10.1029/2020wr028654","title":"Integrating Gravimetry Data With Thermal Infra‐Red Data From Satellites to Improve Efficiency of Operational Irrigation Advisory in South Asia","year":2021,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Geophysics and Gravity Measurements","field":"Earth and Planetary Sciences","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 Prince Edward Island","funders":"National Science Foundation","keywords":"Environmental science; Irrigation; Evapotranspiration; Groundwater; Water resource management; Hydrology (agriculture); Remote sensing; Geography; Engineering","score_opus":0.0847148361880418,"score_gpt":0.3044443554478899,"score_spread":0.21972951925984807,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3138529858","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99655294,0.0001870936,0.000054944318,0.0002358603,0.000041272997,0.00024127554,0.0010602295,0.0000069351554,0.0016194299],"genre_scores_gemma":[0.9912924,0.0000022659283,0.0019356575,0.000033845812,0.00008830655,0.0000018782195,0.006471509,0.000005682132,0.00016845118],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9972057,0.00038285262,0.00028819827,0.00063315843,0.0010861094,0.00040402796],"domain_scores_gemma":[0.9984334,0.00015593454,0.000037457994,0.0010347506,0.00022467523,0.00011377483],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001662759,0.00011952773,0.00017899885,0.0001668809,0.00016056593,0.00020793878,0.0011848903,0.000052294217,0.0006024078],"category_scores_gemma":[0.0002111243,0.000076281474,0.0000148460385,0.0005368647,0.00010418812,0.0003444382,0.00042703125,0.00033731686,0.00012387932],"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":[0.0002605705,0.00012839414,0.8562882,0.00004894925,0.00005049492,0.00003484623,0.0089236675,0.0017083177,0.11087997,0.000013897158,0.00006353006,0.02159914],"study_design_scores_gemma":[0.0007607263,0.00033679028,0.89621645,0.00017445568,0.000013266648,0.0000014582408,0.0046445383,0.030212266,0.064022206,0.0007297897,0.0025911625,0.00029685648],"about_ca_topic_score_codex":0.007968023,"about_ca_topic_score_gemma":0.0044929427,"teacher_disagreement_score":0.046857763,"about_ca_system_score_codex":0.000006538437,"about_ca_system_score_gemma":0.00010481687,"threshold_uncertainty_score":0.998638},"labels":[],"label_agreement":null},{"id":"W3139120128","doi":"10.1029/2020wr029105","title":"Use of an Efficient Proxy Solution for the Hillslope‐Storage Boussinesq Problem in Upscaling of Subsurface Stormflow","year":2021,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Watershed Management Studies","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":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Groundwater recharge; Geology; Hydrology (agriculture); Subsurface flow; Watershed; Outflow; Proxy (statistics); Hydraulic conductivity; Structural basin; Soil science; Geomorphology; Geotechnical engineering; Groundwater; Aquifer; Soil water; Computer science","score_opus":0.057078838542355056,"score_gpt":0.30261713425971387,"score_spread":0.2455382957173588,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3139120128","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9971737,0.000091027934,0.00043527127,0.0012643755,0.000029555706,0.00066878536,0.000006165055,0.000009500694,0.00032161645],"genre_scores_gemma":[0.9972141,0.000023513054,0.0012469254,0.000022337716,0.000013974691,0.00007579312,0.000009400851,0.000011363086,0.0013825947],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9981534,0.0003429181,0.00025850392,0.00030725673,0.00046967177,0.0004682636],"domain_scores_gemma":[0.9993818,0.00017111687,0.00004012499,0.00032067028,0.000049024453,0.000037253663],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020829546,0.000090644324,0.00016441074,0.000081522376,0.00028360868,0.000029915722,0.0002774251,0.00005768789,0.00010190877],"category_scores_gemma":[0.00007908092,0.000052658437,0.000044743312,0.00029993965,0.0005422175,0.00011435587,0.0006118297,0.00016971208,0.000014591627],"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":[0.0006255585,0.00092179613,0.10638596,0.00034932338,0.00009396365,0.000036716956,0.037665244,0.7172593,0.1304048,0.000060769817,0.0008609653,0.0053356066],"study_design_scores_gemma":[0.0019467212,0.0007887945,0.109128736,0.00018200814,0.000056561395,0.00000697812,0.0025723816,0.50073427,0.24062635,0.0007515159,0.1427249,0.00048076478],"about_ca_topic_score_codex":0.0010489404,"about_ca_topic_score_gemma":0.0004393224,"teacher_disagreement_score":0.216525,"about_ca_system_score_codex":0.00007836964,"about_ca_system_score_gemma":0.0000064622104,"threshold_uncertainty_score":0.21813174},"labels":[],"label_agreement":null},{"id":"W3143753519","doi":"10.1029/2020wr027514","title":"Fill‐and‐Spill: A Process Description of Runoff Generation at the Scale of the Beholder","year":2021,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":163,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Environment and Climate Change Canada; Global Institute for Water Security; University of Saskatchewan","funders":"","keywords":"Surface runoff; Scale (ratio); Process (computing); Environmental science; Event (particle physics); Range (aeronautics); Outflow; Computer science; Unit (ring theory); Hydrology (agriculture); Environmental resource management; Geography; Geology; Engineering; Geotechnical engineering; Meteorology; Cartography; Mathematics; Ecology","score_opus":0.05579950358748339,"score_gpt":0.28905910022469666,"score_spread":0.23325959663721327,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3143753519","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9921079,0.0001187914,0.0000074550403,0.0032730324,0.000028831939,0.00018349799,0.0000022903969,0.000003832433,0.00427434],"genre_scores_gemma":[0.990262,0.00004598048,0.000014224736,0.000077228,0.000020718411,0.00002937096,0.0000039697643,0.0000049650475,0.009541575],"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9987512,0.00028318856,0.00013152626,0.00018877057,0.0004303266,0.00021498466],"domain_scores_gemma":[0.9996524,0.000026997583,0.000025419811,0.00024536488,0.00003030743,0.000019520421],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007555845,0.000056009332,0.00008073458,0.000023550836,0.00045005884,0.000017586462,0.00020202054,0.00003681476,0.0005623216],"category_scores_gemma":[0.000030362578,0.000025347925,0.000030319909,0.0001681655,0.00084907166,0.000054309756,0.0009623432,0.0001140639,0.00003699963],"study_design_candidate":"bench_or_experimental","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":[0.00006769454,0.00010083693,0.49535322,0.00010384064,0.000058227866,0.0000043859177,0.03673116,0.0029444904,0.45781535,0.000023284947,0.0053213765,0.0014761128],"study_design_scores_gemma":[0.00031827713,0.00007901078,0.16882004,0.000024270077,0.000023506891,0.00000609555,0.0014448076,0.0012519818,0.797577,0.0008542857,0.029509196,0.000091495705],"about_ca_topic_score_codex":0.00022165812,"about_ca_topic_score_gemma":0.00060847634,"teacher_disagreement_score":0.33976167,"about_ca_system_score_codex":0.000027945558,"about_ca_system_score_gemma":0.0000023222017,"threshold_uncertainty_score":0.61570275},"labels":[],"label_agreement":null},{"id":"W3145688177","doi":"10.1029/2021wr029938","title":"Thank You to Our 2020 Reviewers","year":2021,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Academic Publishing and Open Access","field":"Decision 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":"Canmore Museum and Geoscience Centre; University of Saskatchewan","funders":"","keywords":"Computer science; Environmental science; Psychology","score_opus":0.257272830384983,"score_gpt":0.5089751618853567,"score_spread":0.25170233150037374,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3145688177","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.79462117,0.0018454201,0.00012291592,0.116872646,0.0006334402,0.00039686175,0.00002118858,0.00006265285,0.085423715],"genre_scores_gemma":[0.76688534,0.00015665128,0.0003740882,0.0019469114,0.0009303915,0.000048800935,0.000013253592,0.000028733666,0.22961582],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9888899,0.0020652413,0.0007307846,0.0011522291,0.006031024,0.0011308383],"domain_scores_gemma":[0.9954128,0.0006503032,0.000059282618,0.0015032652,0.0017178297,0.00065647135],"candidate_categories":["metaresearch","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.024843585,0.00017106839,0.00041490578,0.00052524434,0.0005531542,0.004132144,0.004951462,0.00014703369,0.0018006234],"category_scores_gemma":[0.019220734,0.000097460696,0.0001545271,0.0030326433,0.00009277895,0.00084890565,0.003459848,0.0012184265,0.012991734],"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":[0.000064014224,0.00003858795,0.011026738,0.000016370428,0.000018378982,0.00024369928,0.0068288953,0.000050040093,0.002301472,0.00008809495,0.9154038,0.06391992],"study_design_scores_gemma":[0.00013999437,0.000032472984,0.0016679217,0.000055941575,0.0000025709082,0.000026193744,0.0061530094,0.000049887058,0.012158659,0.0033653588,0.9761874,0.00016059575],"about_ca_topic_score_codex":0.00023622585,"about_ca_topic_score_gemma":0.00005932798,"teacher_disagreement_score":0.1441921,"about_ca_system_score_codex":0.00008691891,"about_ca_system_score_gemma":0.00011642761,"threshold_uncertainty_score":0.9991119},"labels":[],"label_agreement":null},{"id":"W3151971874","doi":"10.1029/2020wr028435","title":"VISCOUS: A Variance‐Based Sensitivity Analysis Using Copulas for Efficient Identification of Dominant Hydrological Processes","year":2021,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Groundwater flow and contamination studies","field":"Environmental Science","cited_by":41,"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":"Identifiability; Sensitivity (control systems); Variance-based sensitivity analysis; Robustness (evolution); Computer science; Variance (accounting); Mathematical optimization; Algorithm; Mathematics; Machine learning; Analysis of variance","score_opus":0.0586930112920668,"score_gpt":0.33904359225438024,"score_spread":0.28035058096231347,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3151971874","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8645822,0.000038648843,0.13476913,0.00024869095,0.000021949532,0.0002487935,0.000017500059,0.0000095527585,0.00006358128],"genre_scores_gemma":[0.9982996,0.0000026525918,0.0005249147,0.000017904094,0.000025692947,0.00006251313,0.000027814805,0.000007832237,0.0010310796],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99771714,0.00040375956,0.0003107873,0.00045351725,0.00072461175,0.00039019776],"domain_scores_gemma":[0.99911064,0.00025071463,0.000062182204,0.0002803803,0.00024113034,0.000054939028],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020992588,0.00010005438,0.00024847244,0.00014899782,0.0003779474,0.0000864784,0.00014118738,0.000055953962,0.00015020552],"category_scores_gemma":[0.00023782365,0.00006815757,0.000103775565,0.0009791614,0.0003695869,0.000060253224,0.00026662592,0.00009333045,0.00002877846],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016468749,0.00041978512,0.018260412,0.00015109434,0.00015511434,0.000027296086,0.003973553,0.1719664,0.8035174,0.000008718301,0.000037694124,0.0013178568],"study_design_scores_gemma":[0.00041876177,0.00007275042,0.01600045,0.000016046108,0.00013485683,0.000004122326,0.0006007444,0.3639603,0.61417836,0.00004948409,0.004424254,0.0001398931],"about_ca_topic_score_codex":0.000247203,"about_ca_topic_score_gemma":0.00023412972,"teacher_disagreement_score":0.19199389,"about_ca_system_score_codex":0.00011571946,"about_ca_system_score_gemma":0.000018606246,"threshold_uncertainty_score":0.2906904},"labels":[],"label_agreement":null},{"id":"W3155491852","doi":"10.1029/2020wr028745","title":"Subsurface Migration of Methane From Oil Sands Thermal Recovery Operations","year":2021,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrocarbon exploration and reservoir analysis","field":"Engineering","cited_by":6,"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 Calgary","funders":"Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada; Suncor Energy Incorporated; Natural Sciences and Engineering Research Council of Canada; Imperial Oil Limited; Canadian Natural Resources Limited; Cenovus Energy; University of Calgary","keywords":"Methane; Petroleum engineering; Geology; Oil sands; Permeability (electromagnetism); Dissolution; Groundwater; Residual oil; Capillary pressure; Capillary action; Steam injection; Environmental science; Geotechnical engineering; Petrology; Asphalt; Materials science; Chemistry","score_opus":0.035704295515612786,"score_gpt":0.2840825904421129,"score_spread":0.24837829492650015,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3155491852","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9916382,0.0009714209,0.00041940747,0.00070613675,0.000056091212,0.000037051785,0.000024374865,0.000062137915,0.0060852035],"genre_scores_gemma":[0.99351054,0.00055478484,0.00037169748,0.000017303651,0.00010837523,0.000022213086,0.00024897972,0.000026568821,0.0051395306],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9982964,0.00034414185,0.000280781,0.00020772619,0.0005716951,0.00029930033],"domain_scores_gemma":[0.9991913,0.00008655506,0.000008395552,0.0003755061,0.0002444418,0.00009381881],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00051952247,0.00010376977,0.00020126309,0.00021055504,0.00008947934,0.000108964596,0.00019471766,0.0001015545,0.0011416157],"category_scores_gemma":[0.00005727534,0.00007705796,0.00009854611,0.0004925102,0.00006261555,0.00016757842,0.00008157534,0.0002777043,0.00015220838],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017359482,0.000030435343,0.00029736495,0.000028776196,0.00012875158,0.00001315378,0.0042324653,0.25502938,0.7385434,0.0000043330047,0.00033198047,0.001342648],"study_design_scores_gemma":[0.00023239768,0.00002311581,0.00026881136,0.000024872967,0.000016415175,8.9271566e-7,0.0008726621,0.10876645,0.86330336,0.0000400019,0.026329355,0.00012165825],"about_ca_topic_score_codex":0.00096110196,"about_ca_topic_score_gemma":0.0019811124,"teacher_disagreement_score":0.14626291,"about_ca_system_score_codex":0.000040919145,"about_ca_system_score_gemma":0.000024413748,"threshold_uncertainty_score":0.9997715},"labels":[],"label_agreement":null},{"id":"W3156327771","doi":"10.1029/2020wr029229","title":"Simultaneous Calibration of Hydrologic Model Structure and Parameters Using a Blended Model","year":2021,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","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":"University of Waterloo","funders":"","keywords":"Calibration; Computer science; Process (computing); Algorithm; Software; Data structure; Mathematical optimization; Hydrological modelling; Rank (graph theory); Data mining; Mathematics; Statistics; Geology","score_opus":0.04991995838021004,"score_gpt":0.2968762072499181,"score_spread":0.24695624886970804,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3156327771","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99670273,0.000043478813,0.001839682,0.00057113287,0.000010050377,0.00014812613,0.000007634914,0.000014953012,0.00066218665],"genre_scores_gemma":[0.99581295,0.000028607497,0.0030781585,0.00010920224,0.0000064527703,0.0000053600766,0.000007594547,0.000009830385,0.0009418291],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99848986,0.00019886869,0.00016140862,0.00036075638,0.0003784474,0.00041064183],"domain_scores_gemma":[0.99961233,0.00006912218,0.000022932816,0.00021756606,0.000018156732,0.000059917045],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033942037,0.00010597579,0.00015888356,0.00006734913,0.0002688923,0.000031901032,0.00015765571,0.00009242241,0.00012541666],"category_scores_gemma":[0.000050879094,0.000073145995,0.00002720339,0.00013618488,0.00054074737,0.00011389545,0.00079485646,0.0002065935,0.000005888424],"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":[0.000052244304,0.000023909855,0.0039093555,0.000022339244,0.00002297461,0.000033089163,0.0036301534,0.9024532,0.089632176,0.00001443163,0.00004181497,0.000164351],"study_design_scores_gemma":[0.00017593043,0.000042553485,0.000031651038,0.000004868345,0.000011893984,0.000004559133,0.00012305117,0.94601667,0.04412138,0.009290499,0.00009501656,0.000081936974],"about_ca_topic_score_codex":0.00013298968,"about_ca_topic_score_gemma":0.000052375723,"teacher_disagreement_score":0.04551079,"about_ca_system_score_codex":0.000039812265,"about_ca_system_score_gemma":0.000005661249,"threshold_uncertainty_score":0.29828072},"labels":[],"label_agreement":null},{"id":"W3157235531","doi":"10.1029/2020wr029143","title":"Mimicry of a Conceptual Hydrological Model (HBV): What's in a Name?","year":2021,"lang":"en","type":"article","venue":"Water Resources Research","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":false,"ca_institutions":"Canmore Museum and Geoscience Centre; University of Saskatchewan; University of Waterloo","funders":"","keywords":"Benchmark (surveying); Computer science; Mathematical model; Code (set theory); Implementation; Standard Model (mathematical formulation); Applied mathematics; Mathematics; Statistics; Programming language; Set (abstract data type); Geology","score_opus":0.05754666345207081,"score_gpt":0.30681969165219825,"score_spread":0.24927302820012742,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3157235531","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9838789,0.00026301385,0.00002536104,0.0028842986,0.000021580847,0.00015548019,0.0000014779005,0.000014151634,0.012755717],"genre_scores_gemma":[0.99539554,0.0002272118,0.0001852575,0.00025506844,0.000014844544,0.00004051099,0.000006308669,0.000008732969,0.0038665298],"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9977274,0.0004310757,0.00023783956,0.0004345781,0.0005115468,0.0006575487],"domain_scores_gemma":[0.99951917,0.00008809624,0.00001796251,0.00028792204,0.000018533854,0.00006832855],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0010926854,0.000109692344,0.00021804722,0.00009520801,0.00014464706,0.000038428938,0.00035360112,0.00010765639,0.0018080019],"category_scores_gemma":[0.000057798334,0.000075262964,0.000053283617,0.00024026042,0.00173796,0.00023303821,0.0015669551,0.0003707908,0.00046751893],"study_design_candidate":"bench_or_experimental","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":[0.0011456304,0.0020366842,0.3022027,0.000166118,0.0002265505,0.0020157339,0.24950582,0.2005076,0.22301665,0.0008702095,0.009884534,0.008421766],"study_design_scores_gemma":[0.007425836,0.0016554148,0.046277534,0.0003174792,0.00006697499,0.000069938236,0.06801656,0.15622544,0.3489843,0.049619764,0.31955743,0.0017833057],"about_ca_topic_score_codex":0.0001955175,"about_ca_topic_score_gemma":0.00015812369,"teacher_disagreement_score":0.3096729,"about_ca_system_score_codex":0.00006353698,"about_ca_system_score_gemma":0.0000051151246,"threshold_uncertainty_score":0.9991045},"labels":[],"label_agreement":null},{"id":"W3159180394","doi":"10.1029/2020wr028638","title":"Climate Change Impact Studies: Should We Bias Correct Climate Model Outputs or Post‐Process Impact Model Outputs?","year":2021,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":110,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure; Université du Québec à Montréal","funders":"National Natural Science Foundation of China","keywords":"Streamflow; Climate change; Calibration; Climate model; Environmental science; Variable (mathematics); Climatology; Precipitation; Econometrics; Variance (accounting); Process (computing); Computer science; Statistics; Meteorology; Mathematics; Accounting","score_opus":0.27258559902816815,"score_gpt":0.4311489033965729,"score_spread":0.15856330436840477,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3159180394","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98308426,0.0010954353,0.000080203616,0.006924423,0.00012661,0.00085816614,0.00020080879,0.00016238137,0.007467725],"genre_scores_gemma":[0.98894143,0.0049637263,0.00012676389,0.00092111493,0.00012371241,0.00029069063,0.000070964496,0.000091363545,0.0044702077],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9927878,0.00058771716,0.00056268065,0.0012933232,0.0014854145,0.0032830795],"domain_scores_gemma":[0.99806774,0.00020812445,0.0000868063,0.0009140263,0.00019770054,0.0005256145],"candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00320905,0.00061543076,0.00076142343,0.00045545836,0.0016534773,0.00026188442,0.0009775858,0.00027914517,0.0013370008],"category_scores_gemma":[0.00023543947,0.00034737572,0.00032680618,0.0007586805,0.00085224904,0.000706209,0.0034829439,0.0009126251,0.0025539214],"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":[0.0048658876,0.001323743,0.20285839,0.0012700073,0.0016853155,0.0023483671,0.27935523,0.4655293,0.007316302,0.000078812045,0.021322189,0.012046472],"study_design_scores_gemma":[0.0041328124,0.0027817553,0.009778752,0.00066232577,0.00035337333,0.00015642267,0.020646127,0.92369395,0.018431133,0.0054478487,0.010874532,0.0030409691],"about_ca_topic_score_codex":0.0019065147,"about_ca_topic_score_gemma":0.0030311344,"teacher_disagreement_score":0.45816466,"about_ca_system_score_codex":0.0006629931,"about_ca_system_score_gemma":0.000038905637,"threshold_uncertainty_score":0.99989784},"labels":[],"label_agreement":null},{"id":"W3159584726","doi":"10.1029/2020wr027948","title":"Understanding the Information Content in the Hierarchy of Model Development Decisions: Learning From Data","year":2021,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":49,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canmore Museum and Geoscience Centre; University of Saskatchewan","funders":"","keywords":"Computer science; Process (computing); Flexibility (engineering); Discretization; Fidelity; Process modeling; Hierarchy; Bridge (graph theory); Machine learning; Data mining; Industrial engineering; Artificial intelligence; Work in process; Mathematics; Engineering","score_opus":0.4507134202681622,"score_gpt":0.34580543465184677,"score_spread":0.10490798561631542,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3159584726","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9796685,0.000062804036,0.005597107,0.0048664454,0.000015321075,0.00022183369,0.000003166686,0.000006840112,0.009558007],"genre_scores_gemma":[0.99873596,0.000083854524,0.00030008733,0.00023519358,0.0000066935286,0.000022074431,0.00006526764,0.0000031019558,0.00054775615],"study_design_codex":"qualitative","study_design_gemma":"not_applicable","domain_scores_codex":[0.99811417,0.0004903907,0.00022952225,0.00018006653,0.000687586,0.0002982615],"domain_scores_gemma":[0.9991104,0.00040430736,0.000024939098,0.0004265744,0.0000139122685,0.00001986403],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0030624003,0.000062822684,0.00008494684,0.00006306153,0.000553603,0.000072512,0.00082474214,0.000032181637,0.00018219175],"category_scores_gemma":[0.00023531832,0.00002905291,0.00001448713,0.00019923618,0.0003215097,0.00023476225,0.0024143574,0.00034077748,0.0001489189],"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":[0.0002893649,0.00021384246,0.16482203,0.000032365984,0.00018171477,0.000059429713,0.5712039,0.23578994,0.0026644133,0.00069905474,0.010098096,0.013945855],"study_design_scores_gemma":[0.001633219,0.000107341235,0.07690609,0.00015858034,0.000028662715,0.0000053795,0.16427612,0.24695104,0.005968033,0.026615826,0.47695965,0.0003900341],"about_ca_topic_score_codex":0.00043640393,"about_ca_topic_score_gemma":0.0004480374,"teacher_disagreement_score":0.46686158,"about_ca_system_score_codex":0.00009402065,"about_ca_system_score_gemma":0.000007687664,"threshold_uncertainty_score":0.42579225},"labels":[],"label_agreement":null},{"id":"W3159799738","doi":"10.1029/2020wr027775","title":"Dual‐Porosity Flow Diagnostics for Spontaneous Imbibition in Naturally Fractured Reservoirs","year":2021,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydraulic Fracturing and Reservoir Analysis","field":"Engineering","cited_by":18,"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":"Engineering and Physical Sciences Research Council; Energi Simulation","keywords":"Porosity; Displacement (psychology); Flow (mathematics); Fluid dynamics; Matrix (chemical analysis); Fracture (geology); Mechanics; Imbibition; Dual (grammatical number); Porous medium; Materials science; Petroleum engineering; Computer science; Geology; Physics; Geotechnical engineering","score_opus":0.019659084038988035,"score_gpt":0.2769587060302536,"score_spread":0.25729962199126555,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3159799738","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.993758,0.0021829733,0.00048093987,0.0014564282,0.00016410707,0.0003233718,0.00004273496,0.00015789366,0.0014335174],"genre_scores_gemma":[0.995529,0.0005327583,0.00075756956,0.000051282506,0.00033955608,0.00009180472,0.00027591686,0.00006381362,0.002358279],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.99717337,0.0002645661,0.0003667532,0.000442585,0.0007663088,0.000986391],"domain_scores_gemma":[0.9983352,0.0006028437,0.00001494073,0.0005501269,0.0003055427,0.00019135466],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011236713,0.00021361052,0.00033554743,0.0004562881,0.00026195237,0.00023265083,0.0003191139,0.00027590492,0.00022981457],"category_scores_gemma":[0.00060709094,0.00016498381,0.00016209713,0.000537662,0.00008921932,0.000119093005,0.00019584608,0.000980248,0.000086119566],"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":[0.00025644855,0.00022433882,0.0008851138,0.0007542183,0.00022124512,0.007658438,0.010619821,0.9326505,0.027849596,0.000006198611,0.013865666,0.0050083995],"study_design_scores_gemma":[0.0016915918,0.00016393389,0.0043153516,0.0003241606,0.00004439491,0.0002841421,0.00090439967,0.2044548,0.33702227,0.0015782034,0.44842175,0.0007950123],"about_ca_topic_score_codex":0.00026573642,"about_ca_topic_score_gemma":0.0019496293,"teacher_disagreement_score":0.7281957,"about_ca_system_score_codex":0.00022821812,"about_ca_system_score_gemma":0.00002708084,"threshold_uncertainty_score":0.67278445},"labels":[],"label_agreement":null},{"id":"W3159834390","doi":"10.1029/2020wr028392","title":"Generating Ensemble Streamflow Forecasts: A Review of Methods and Approaches Over the Past 40 Years","year":2021,"lang":"en","type":"review","venue":"Water Resources Research","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":217,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure; Université du Québec à Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; École de technologie supérieure","keywords":"Streamflow; Ensemble forecasting; Viewpoints; Computer science; Ensemble learning; Probabilistic forecasting; Meteorology; Data mining; Artificial intelligence; Geography; Probabilistic logic","score_opus":0.1825573699364976,"score_gpt":0.4078550620662067,"score_spread":0.2252976921297091,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3159834390","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0010390992,0.9942993,0.000026128184,0.00024177521,0.000029229166,0.00085603737,0.000005645524,0.000010175765,0.0034925905],"genre_scores_gemma":[0.00003625686,0.9958694,0.0013778019,0.000089980254,0.00009347424,0.00025996895,0.00003215309,0.000032640997,0.0022083065],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9949449,0.0028452533,0.00049273646,0.0006102244,0.0005120038,0.00059491995],"domain_scores_gemma":[0.9987924,0.0004025662,0.00011179294,0.000607801,0.000015588159,0.000069815855],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0056336108,0.0002717335,0.0010349604,0.00010552306,0.0003457621,0.000068537476,0.0005906066,0.00014993083,0.000615706],"category_scores_gemma":[0.00012371076,0.0001366186,0.00022808874,0.00039730023,0.00082210434,0.00006355259,0.0027885314,0.0006288325,0.00007137494],"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":[0.000002888713,0.000028442566,0.00007300895,0.021255096,0.00020137396,0.000017775406,0.0011257991,0.000012012907,0.000004149288,0.000009659209,0.0045600887,0.9727097],"study_design_scores_gemma":[0.00005445276,0.00003965089,0.000020337751,0.008034028,0.00018218599,0.0000126314835,0.00010044537,0.000060703056,0.000010183329,0.000037568585,0.99129534,0.00015249554],"about_ca_topic_score_codex":0.00014013804,"about_ca_topic_score_gemma":0.000020654688,"teacher_disagreement_score":0.9867352,"about_ca_system_score_codex":0.000068352456,"about_ca_system_score_gemma":0.0000080784275,"threshold_uncertainty_score":0.6741549},"labels":[],"label_agreement":null},{"id":"W3159834766","doi":"10.1029/2020wr028518","title":"Nevertheless, They Persisted: Can Hyporheic Zones Increase the Persistence of Estrogens in Streams?","year":2021,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Soil and Water Nutrient 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":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; National Institute of Food and Agriculture; U.S. Department of Agriculture","keywords":"STREAMS; Persistence (discontinuity); Environmental science; Hyporheic zone; Estrogen; Surface water; Ecosystem; Environmental chemistry; Lag; Hydrology (agriculture); Ecology; Chemistry; Biology; Geology; Endocrinology; Environmental engineering","score_opus":0.037377859233710314,"score_gpt":0.26363081511743514,"score_spread":0.22625295588372482,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3159834766","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9933557,0.00012831212,0.0000010858878,0.0018853188,0.000024918178,0.00016296406,0.000019232708,0.000012761761,0.0044097276],"genre_scores_gemma":[0.9975843,0.00009216953,0.000056022116,0.00005197882,0.000025574767,0.000022580236,0.000022202417,0.00001711961,0.0021280411],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9972314,0.0005519789,0.0002466402,0.00041201088,0.00089503865,0.0006628823],"domain_scores_gemma":[0.99907076,0.00014238479,0.00003077295,0.00057612715,0.000049941948,0.00013000912],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009331742,0.00013985939,0.00018285247,0.000090182955,0.00025333723,0.00007012098,0.00067231915,0.000074096795,0.00026977094],"category_scores_gemma":[0.00006955451,0.00007981712,0.00010049506,0.00044636225,0.0006393785,0.00008659502,0.00085251953,0.00035959124,0.00011642465],"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":[0.00007922819,0.00020529894,0.97169524,0.000027601589,0.00002249267,0.00014051785,0.019879796,0.00092879595,0.003101861,0.000030473202,0.00011397387,0.003774708],"study_design_scores_gemma":[0.0045061233,0.00094951637,0.60919976,0.00045309972,0.00012415659,0.0004318499,0.13176171,0.024673613,0.11121063,0.027431173,0.087421976,0.0018364139],"about_ca_topic_score_codex":0.014113382,"about_ca_topic_score_gemma":0.0042093364,"teacher_disagreement_score":0.3624955,"about_ca_system_score_codex":0.0001639696,"about_ca_system_score_gemma":0.000024225656,"threshold_uncertainty_score":0.9924517},"labels":[],"label_agreement":null},{"id":"W3160094252","doi":"10.1029/2020wr028136","title":"Lake Outflow and Hillslope Lateral Inflows Dictate Thermal Regimes of Forested Streams Draining Small Lakes","year":2021,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Trent University; Natural Resources Canada; University of British Columbia; Canadian Forest Service","funders":"Kempestiftelserna; Svenska Forskningsrådet Formas","keywords":"Hydrology (agriculture); Outflow; STREAMS; Environmental science; Inflow; Surface runoff; Drainage basin; Geology; Ecology; Oceanography","score_opus":0.02998921422847865,"score_gpt":0.2649053142883263,"score_spread":0.23491610005984767,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3160094252","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.957608,0.000056349367,0.0000022980491,0.0016009737,0.000031199434,0.00017288291,0.000007682928,0.000026082442,0.04049457],"genre_scores_gemma":[0.9824457,0.00007557004,0.00014543439,0.00013636904,0.000030974887,0.000029417102,0.000021578971,0.000015142338,0.017099781],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9982519,0.00027641395,0.00020242212,0.00036290978,0.00034422363,0.0005621303],"domain_scores_gemma":[0.99948174,0.00012150921,0.000030781855,0.00025691293,0.000032309887,0.00007673242],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00073018903,0.00012667415,0.00020035959,0.0000779522,0.00034017893,0.000062052255,0.00024476464,0.000073038755,0.0013763355],"category_scores_gemma":[0.00007725368,0.00008818849,0.000038319355,0.00017672913,0.0007051135,0.00012361702,0.0014232793,0.0002363338,0.00010077935],"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":[0.00013041611,0.00011348404,0.9553345,0.000088938985,0.0001404283,0.00021845615,0.02301995,0.0004949051,0.009997817,0.00003835637,0.0030708883,0.0073519005],"study_design_scores_gemma":[0.0010652444,0.00028926117,0.81726533,0.00006909482,0.000025777415,0.0000097934435,0.0021156028,0.00069818203,0.015462112,0.0007416003,0.16196725,0.0002907733],"about_ca_topic_score_codex":0.00017158514,"about_ca_topic_score_gemma":0.008048249,"teacher_disagreement_score":0.15889636,"about_ca_system_score_codex":0.000020898142,"about_ca_system_score_gemma":0.000004485132,"threshold_uncertainty_score":0.9995365},"labels":[],"label_agreement":null},{"id":"W3164545656","doi":"10.1029/2020wr029466","title":"Advancing Space‐Time Simulation of Random Fields: From Storms to Cyclones and Beyond","year":2021,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Drought Analysis","field":"Environmental Science","cited_by":59,"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 Sciences and Engineering Research Council of Canada","keywords":"Advection; Storm; Copula (linguistics); Positive definiteness; Gaussian; Statistical physics; Random field; Meteorology; Computer science; Anisotropy; Environmental science; Mathematics; Physics; Econometrics; Statistics","score_opus":0.0126442619599403,"score_gpt":0.28876713756509204,"score_spread":0.27612287560515175,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3164545656","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9933093,0.00011118476,0.0005241079,0.0016011838,0.000011826097,0.00009207493,0.0000041658336,0.000008877765,0.004337272],"genre_scores_gemma":[0.9958765,0.000014091768,0.00043132954,0.000092943475,0.000037560978,0.0000059183294,0.000012493938,0.000006763256,0.0035224324],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9986219,0.00025006797,0.00014781732,0.00028765292,0.00039629798,0.00029631218],"domain_scores_gemma":[0.99930096,0.00031904696,0.000015904885,0.00023167956,0.000023374138,0.00010902541],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006618317,0.00006909076,0.00017140647,0.00007257792,0.00016089086,0.000028071268,0.00012720386,0.000077017015,0.004279155],"category_scores_gemma":[0.00014798471,0.00004841081,0.00003807752,0.00023143917,0.00015075416,0.00010295084,0.00040246127,0.00015223694,0.0004269676],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007102462,0.00013368511,0.1397323,0.000022487706,0.000114613074,0.0001416237,0.037527107,0.3955513,0.41578114,0.000004727668,0.0013256331,0.008955123],"study_design_scores_gemma":[0.0035133215,0.00046947564,0.044726886,0.000065025066,0.00009710754,0.000010534394,0.0024865435,0.2206031,0.52662474,0.009663753,0.19107063,0.0006689029],"about_ca_topic_score_codex":0.000994451,"about_ca_topic_score_gemma":0.00060712936,"teacher_disagreement_score":0.189745,"about_ca_system_score_codex":0.000028248245,"about_ca_system_score_gemma":0.0000032882253,"threshold_uncertainty_score":0.9966311},"labels":[],"label_agreement":null},{"id":"W3165043671","doi":"10.1029/2020wr028103","title":"Convergent Hydraulic Redistribution and Groundwater Access Supported Facilitative Dependency Between Trees and Grasses in a Semi‐Arid Environment","year":2021,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":28,"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":"Philecology Foundation; Division of Earth Sciences; University of Arizona; Office of Science; National Science Foundation","keywords":"Environmental science; Hydrology (agriculture); Groundwater; Water table; Transpiration; Riparian forest; Riparian zone; Groundwater recharge; Dry season; Soil water; Evapotranspiration; Ecohydrology; Ecology; Soil science; Ecosystem; Geology; Aquifer; Botany; Biology; Photosynthesis","score_opus":0.036970387102155784,"score_gpt":0.296449137176406,"score_spread":0.2594787500742502,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3165043671","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99759316,0.00010727559,0.00015155083,0.0006080909,0.000014083222,0.0002506383,0.000077613506,0.00001169344,0.0011859152],"genre_scores_gemma":[0.99785656,0.00026816226,0.000040910032,0.000014357865,0.000015532818,0.00004705242,0.0003117957,0.000011026353,0.001434592],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99759185,0.0004049031,0.0002783236,0.0005565726,0.00061615196,0.0005522006],"domain_scores_gemma":[0.9994587,0.000106041334,0.000025877516,0.00021954314,0.000013907951,0.00017597184],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00076241087,0.00015863658,0.00019643016,0.00011827566,0.00021635198,0.0002015177,0.00019727182,0.00011339753,0.000956253],"category_scores_gemma":[0.000027081687,0.00011856238,0.000027970229,0.00019970408,0.0004027007,0.0003325297,0.0009583101,0.0003446667,0.00011524453],"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":[0.000031300584,0.00008219908,0.9751538,0.000022152399,0.00002535003,0.00013941577,0.0038192917,0.000336795,0.018292984,0.000012267541,0.000053630665,0.0020307903],"study_design_scores_gemma":[0.0007322814,0.00014848281,0.9410518,0.000031636693,0.000018411445,0.000046532048,0.0005624219,0.0041879592,0.02929204,0.0030940596,0.020519359,0.00031501305],"about_ca_topic_score_codex":0.0019641297,"about_ca_topic_score_gemma":0.0012928454,"teacher_disagreement_score":0.03410202,"about_ca_system_score_codex":0.00021159482,"about_ca_system_score_gemma":0.000008091542,"threshold_uncertainty_score":0.999957},"labels":[],"label_agreement":null},{"id":"W3166804881","doi":"10.1029/2020wr028840","title":"Fate of Artificially Injected Oxygen in the Hypolimnion of a Two‐Basin Lake: Amisk Lake, Revisited","year":2021,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Oceanographic and Atmospheric Processes","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Division of Chemical, Bioengineering, Environmental, and Transport Systems; National Science Foundation","keywords":"Seiche; Hypolimnion; Plume; Geology; Internal wave; Diffuser (optics); Froude number; Panache; Structural basin; Stratification (seeds); Thermocline; Bubble; Current meter; Environmental science; Flow (mathematics); Mechanics; Geomorphology; Meteorology; Climatology; Oceanography; Eutrophication","score_opus":0.04190790339940596,"score_gpt":0.2896077132755718,"score_spread":0.2476998098761658,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3166804881","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9899125,0.0010409144,0.000008573575,0.0005834846,0.00002385753,0.00019042859,0.00008166958,0.000013806334,0.008144745],"genre_scores_gemma":[0.9987812,0.00023389557,0.00019099373,0.00008146112,0.00006520974,0.0000019340082,0.0001692335,0.00000521097,0.00047087815],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9969854,0.0009124547,0.00041468444,0.00029228328,0.00088168273,0.00051351264],"domain_scores_gemma":[0.9988775,0.00033013543,0.0000665467,0.00035731262,0.00029881598,0.00006967581],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0019555015,0.000118577096,0.00026793935,0.00011998842,0.00013609568,0.000083149884,0.00053928717,0.00007233846,0.0014771788],"category_scores_gemma":[0.00020523995,0.00006733294,0.0000736884,0.0018737101,0.0003452986,0.00010806606,0.00006225665,0.00034559102,0.000043679673],"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":[0.00033347323,0.00019002055,0.96221954,0.00041248812,0.000062050196,0.00016290568,0.011588801,0.0008771783,0.0057013845,0.000072849434,0.0008262126,0.017553106],"study_design_scores_gemma":[0.0010187661,0.00048116373,0.8606631,0.00033300434,0.000024436587,0.000043170276,0.004375253,0.002005503,0.0331132,0.0038480503,0.093770415,0.00032392977],"about_ca_topic_score_codex":0.0019255746,"about_ca_topic_score_gemma":0.018814811,"teacher_disagreement_score":0.10155642,"about_ca_system_score_codex":0.000001997546,"about_ca_system_score_gemma":0.00007082966,"threshold_uncertainty_score":0.9994356},"labels":[],"label_agreement":null},{"id":"W3167144390","doi":"10.1029/2021wr029595","title":"Evaluation of the Drivers Responsible for Flooding in Africa","year":2021,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Drought Analysis","field":"Environmental Science","cited_by":87,"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":"European Organization for the Exploitation of Meteorological Satellites; FACE Foundation","keywords":"Flood myth; Environmental science; Precipitation; Flooding (psychology); Flood forecasting; Hydrology (agriculture); Water content; 100-year flood; Climatology; Geography; Meteorology; Geology","score_opus":0.10445029337568153,"score_gpt":0.35327636680151425,"score_spread":0.24882607342583274,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3167144390","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97890604,0.000055921104,0.00000939795,0.001267046,0.000015361122,0.00017307185,0.0000014274707,0.000002571639,0.019569142],"genre_scores_gemma":[0.9962888,0.000003816089,0.000112477675,0.000012693063,0.000011358164,0.00003764547,0.0000018955818,0.000004085267,0.0035272709],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99724436,0.001186586,0.00012414719,0.00019867733,0.0009483608,0.00029788408],"domain_scores_gemma":[0.9994773,0.00015378726,0.0000144177,0.00025976944,0.00006816328,0.000026537351],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0072941836,0.000039912087,0.000079296624,0.00007844173,0.00017935199,0.000014554011,0.00024064083,0.00005312011,0.001698846],"category_scores_gemma":[0.00048779772,0.000023944584,0.000055811703,0.00055205304,0.00021924598,0.00005418894,0.0003206936,0.0001401557,0.00008185379],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025261243,0.00025712175,0.21516545,0.000027643358,0.00009027516,0.000015080454,0.050617546,0.0846166,0.6363763,0.00011467301,0.003256389,0.009210278],"study_design_scores_gemma":[0.0013536185,0.00009044525,0.04733274,0.000031967364,0.000087081644,0.000003207696,0.0021335606,0.081467636,0.73771566,0.019799946,0.109832,0.00015211805],"about_ca_topic_score_codex":0.00016277461,"about_ca_topic_score_gemma":0.0010384598,"teacher_disagreement_score":0.1678327,"about_ca_system_score_codex":0.00012643936,"about_ca_system_score_gemma":0.000027682709,"threshold_uncertainty_score":0.99921376},"labels":[],"label_agreement":null},{"id":"W3168758601","doi":"10.1029/2020wr028776","title":"Intercomparison of Thermal Regime Algorithms in 1‐D Lake Models","year":2021,"lang":"en","type":"article","venue":"Water Resources Research","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":false,"ca_institutions":"Ministry of Environment","funders":"U.S. Geological Survey; National Aeronautics and Space Administration","keywords":"Environmental science; Algorithm; Meteorology; Snow; Epilimnion; Climatology; Numerical weather prediction; Atmospheric sciences; Computer science; Geology; Hypolimnion; Geography; Ecology","score_opus":0.09541190652250944,"score_gpt":0.3329983817588449,"score_spread":0.23758647523633544,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3168758601","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9600255,0.000045906927,0.00010444032,0.000508789,0.000022273302,0.00014248084,0.0000105209165,0.000012785427,0.039127294],"genre_scores_gemma":[0.99692756,0.000021721231,0.0004864165,0.0000276437,0.000021154612,0.000020456831,0.0000136175395,0.000013021943,0.002468385],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9976807,0.00044826212,0.0002873639,0.00038696575,0.0006599,0.0005367991],"domain_scores_gemma":[0.9993097,0.000101963895,0.000018774499,0.00045060908,0.000031444106,0.00008747098],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0016593277,0.000093114584,0.00019541809,0.00009156232,0.00007268585,0.000041934058,0.00038059562,0.00008884496,0.0035331792],"category_scores_gemma":[0.00003745873,0.00006831535,0.00005634991,0.0003231346,0.00033904664,0.00017980167,0.0009819518,0.00037078856,0.0002389625],"study_design_candidate":"bench_or_experimental","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":[0.00043777458,0.0019325912,0.10029691,0.00021803312,0.000048740152,0.0002964278,0.10395533,0.22413689,0.54515237,0.00041707684,0.0014730205,0.021634853],"study_design_scores_gemma":[0.001997628,0.00034535423,0.023309875,0.00022750457,0.000011863674,0.000029876863,0.0033956654,0.46675378,0.31263176,0.022356713,0.16827546,0.0006645215],"about_ca_topic_score_codex":0.0012327229,"about_ca_topic_score_gemma":0.0024909873,"teacher_disagreement_score":0.24261689,"about_ca_system_score_codex":0.000087504406,"about_ca_system_score_gemma":0.000009172093,"threshold_uncertainty_score":0.99737775},"labels":[],"label_agreement":null},{"id":"W3171818219","doi":"10.1029/2021wr029794","title":"Evaluating Friction and Inertial Losses From Slug Tests Conducted in a Multilevel System","year":2021,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Groundwater flow and contamination 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 Guelph","funders":"","keywords":"Annulus (botany); Slug test; Slug flow; Transducer; Flow (mathematics); Mechanics; Tube (container); Flow conditions; Geotechnical engineering; Geology; Two-phase flow; Engineering; Materials science; Acoustics; Mechanical engineering; Groundwater; Physics; Aquifer","score_opus":0.11258502708842329,"score_gpt":0.3657747280285299,"score_spread":0.2531897009401066,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3171818219","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99842817,0.00015202613,0.00006288778,0.000293883,0.000048849965,0.00017070405,0.0000065531317,0.000028714663,0.0008082382],"genre_scores_gemma":[0.9964252,0.000008701423,0.00025505575,0.0000202569,0.000056887347,0.00006361433,0.000018485758,0.000010625087,0.003141179],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99779624,0.00051030895,0.00022088469,0.0004178916,0.0006839609,0.000370689],"domain_scores_gemma":[0.9994972,0.00017209905,0.00001908169,0.0001811288,0.00006416855,0.00006634429],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00082032447,0.00009975446,0.00014752481,0.000087704655,0.00028158486,0.00014541406,0.0001257794,0.00005824846,0.00037462387],"category_scores_gemma":[0.00012266719,0.00007179594,0.000018628678,0.00023457358,0.00016507812,0.00016182182,0.0005998893,0.00021418875,0.00024863944],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005051854,0.00007519844,0.21633458,0.000037898728,0.000020454238,0.000109456654,0.020102665,0.00017266351,0.7274429,0.0000064799933,0.00014211204,0.03550503],"study_design_scores_gemma":[0.001530986,0.00011314907,0.81983984,0.00013179219,0.000011333701,0.000020241388,0.009154964,0.020276198,0.13200574,0.00007799067,0.016578551,0.00025921297],"about_ca_topic_score_codex":0.0066317255,"about_ca_topic_score_gemma":0.0015745523,"teacher_disagreement_score":0.60350525,"about_ca_system_score_codex":0.0001879329,"about_ca_system_score_gemma":0.000007053748,"threshold_uncertainty_score":0.9999832},"labels":[],"label_agreement":null},{"id":"W3175415987","doi":"10.1029/2020wr029316","title":"Beyond the Mass Balance: Watershed Phosphorus Legacies and the Evolution of the Current Water Quality Policy Challenge","year":2021,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Transboundary Water Resource Management","field":"Social Sciences","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 Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Watershed; Current (fluid); Water quality; Balance (ability); Water balance; Environmental science; Quality (philosophy); Phosphorus; Natural resource economics; Water resource management; Hydrology (agriculture); Political science; Environmental planning; Economics; Oceanography; Geology; Ecology; Computer science; Chemistry; Psychology","score_opus":0.05020573071926924,"score_gpt":0.36359896506830913,"score_spread":0.3133932343490399,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3175415987","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.78540105,0.0039848383,0.00003088926,0.18205641,0.00024603267,0.001120988,0.000017343462,0.00004411604,0.02709833],"genre_scores_gemma":[0.9894761,0.00082174694,0.000008234451,0.00013816397,0.00039884588,0.00012317515,0.000007769047,0.00002315835,0.009002817],"study_design_codex":"qualitative","study_design_gemma":"not_applicable","domain_scores_codex":[0.9900795,0.005472578,0.0004724055,0.00049960974,0.0022612312,0.0012146505],"domain_scores_gemma":[0.9981848,0.00028241499,0.00006117048,0.0009955928,0.00035244683,0.00012357383],"candidate_categories":["sts"],"consensus_categories":["sts"],"category_scores_codex":[0.008985455,0.0002114186,0.00031551247,0.00014080307,0.0029470588,0.00068338914,0.0014957029,0.00009382603,0.00013568196],"category_scores_gemma":[0.000198782,0.000076843826,0.0002052949,0.0005671789,0.006234175,0.00016306162,0.0011351841,0.0008177793,0.000053556],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00060865935,0.00024262915,0.012811617,0.00037596194,0.00026571413,0.000011703899,0.8553479,0.00011983141,0.0047012344,0.10953512,0.0013852515,0.014594391],"study_design_scores_gemma":[0.001148955,0.000034370547,0.004836245,0.000045238834,0.000029018573,0.000001596993,0.03300236,0.000060570495,0.011650354,0.044131797,0.9048695,0.00018998489],"about_ca_topic_score_codex":0.016318968,"about_ca_topic_score_gemma":0.0019810584,"teacher_disagreement_score":0.9034843,"about_ca_system_score_codex":0.0003672076,"about_ca_system_score_gemma":0.00014712819,"threshold_uncertainty_score":0.998351},"labels":[],"label_agreement":null},{"id":"W3175784189","doi":"10.1029/2021wr029986","title":"Overcoming the Model‐Data‐Fit Problem in Porous Media: A Quantitative Method to Compare Invasion‐Percolation Models to High‐Resolution Data","year":2021,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Groundwater flow and contamination 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":"Queen's University; University of British Columbia","funders":"Singapore Institute of Manufacturing Technology; Universität Stuttgart; Eberhard Karls Universität Tübingen; Deutsche Forschungsgemeinschaft","keywords":"Computer science; Jaccard index; Algorithm; Percolation (cognitive psychology); Data mining; Similarity (geometry); Scale (ratio); Experimental data; Raster graphics; Image (mathematics); Artificial intelligence; Mathematics; Statistics; Pattern recognition (psychology)","score_opus":0.30325285136980135,"score_gpt":0.3983367807867788,"score_spread":0.09508392941697746,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3175784189","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.82132167,0.00011767987,0.16861612,0.008049954,0.00003461371,0.00085883116,0.00012765684,0.000029582958,0.0008439131],"genre_scores_gemma":[0.94873124,0.000016570692,0.048970513,0.00032370957,0.000035412548,0.00013871922,0.00023999944,0.000021100548,0.0015227369],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9956151,0.0010486288,0.00037186264,0.00096586405,0.0013424702,0.00065607304],"domain_scores_gemma":[0.9979794,0.00041944944,0.000029167357,0.0013128294,0.00011140396,0.00014772253],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004535972,0.00016557983,0.00024243756,0.0001808669,0.00055791246,0.00024994375,0.0015759447,0.000048243157,0.00014676596],"category_scores_gemma":[0.00016697895,0.0001069999,0.00002054185,0.00082198455,0.00012550435,0.0008476808,0.007555249,0.00036155575,0.00035956904],"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":[0.0002738537,0.0002681257,0.004771241,0.000042080443,0.000052385,0.00006880119,0.15783143,0.760811,0.036856983,0.0006595756,0.00878022,0.029584311],"study_design_scores_gemma":[0.0004738066,0.00006538523,0.007739972,0.000089149806,0.000013789143,0.000007622647,0.009569306,0.9468211,0.0030733394,0.0031436826,0.028718233,0.00028463211],"about_ca_topic_score_codex":0.009248261,"about_ca_topic_score_gemma":0.023802824,"teacher_disagreement_score":0.18601009,"about_ca_system_score_codex":0.00031126637,"about_ca_system_score_gemma":0.000026065993,"threshold_uncertainty_score":0.99734926},"labels":[],"label_agreement":null},{"id":"W3176737717","doi":"10.1029/2020wr028727","title":"Heterogeneous Changes to Wetlands in the Canadian Prairies Under Future Climate","year":2021,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Peatlands and Wetlands Ecology","field":"Environmental Science","cited_by":31,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Ducks Unlimited Canada; Global Institute for Water Security; University of Saskatchewan","funders":"Global Water Futures; Canada First Research Excellence Fund; Institute for Wetland and Waterfowl Research, Ducks Unlimited Canada; Natural Sciences and Engineering Research Council of Canada; Mitacs","keywords":"Wetland; Climate change; Environmental science; Grassland; Threatened species; Water balance; Wetland conservation; Evapotranspiration; Ecosystem; Global warming; Ecosystem services; Hydrology (agriculture); Ecology; Habitat","score_opus":0.034334006125111345,"score_gpt":0.29933909527855307,"score_spread":0.26500508915344173,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3176737717","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91010445,0.00005723907,4.5942872e-7,0.07464125,0.000054736112,0.00018505436,0.000012218177,0.000009432959,0.01493514],"genre_scores_gemma":[0.99508953,0.000056824952,0.000024683812,0.0027381596,0.00020435976,0.000077637305,0.00003956099,0.000012847116,0.0017564137],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9975483,0.00037971753,0.000115729636,0.00035962573,0.00051616924,0.0010804466],"domain_scores_gemma":[0.9993153,0.00006176402,0.000008255477,0.00036457914,0.0000199533,0.00023011387],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0011806741,0.00010910188,0.00013223123,0.00014284538,0.00055390946,0.0002112112,0.00048528914,0.000109449196,0.0013692323],"category_scores_gemma":[0.00002203374,0.00006066963,0.000028735813,0.00041493765,0.00016817637,0.000039173774,0.0004320425,0.0003420009,0.0007850629],"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":[0.00015804755,0.00017987515,0.88174075,0.000043609758,0.000035300407,0.0029617238,0.055315904,0.0017891466,0.008085969,0.00018906305,0.039289437,0.010211193],"study_design_scores_gemma":[0.00017225591,0.00011931694,0.17975141,0.000006491094,0.0000017830135,0.00009252448,0.0012525462,0.000032623226,0.0016496562,0.00022464432,0.81658185,0.00011490102],"about_ca_topic_score_codex":0.07535942,"about_ca_topic_score_gemma":0.9846497,"teacher_disagreement_score":0.9092903,"about_ca_system_score_codex":0.00020837782,"about_ca_system_score_gemma":0.000022457947,"threshold_uncertainty_score":0.99999297},"labels":[],"label_agreement":null},{"id":"W3176975223","doi":"10.1029/2021wr030366","title":"A Semi‐Analytical Solution to Evaluate the Spatiotemporal Behavior of Diffusive Pressure Plume and Leakage From Geological Storage Sites","year":2021,"lang":"en","type":"article","venue":"Water Resources Research","topic":"CO2 Sequestration and Geologic Interactions","field":"Environmental Science","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; University of Calgary","keywords":"Plume; Caprock; Laplace transform; Scaling; Leakage (economics); Dimensionless quantity; Gaussian; Geology; Computer science; Mechanics; Applied mathematics; Statistical physics; Petroleum engineering; Mathematical optimization; Geophysics; Soil science; Mathematics; Physics; Thermodynamics; Mathematical analysis; Geometry","score_opus":0.07149747419596623,"score_gpt":0.35609493445282725,"score_spread":0.284597460256861,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3176975223","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99196386,0.00007396102,0.000109851724,0.0050476626,0.000020584166,0.00028221536,0.000023933926,0.000013895756,0.0024640027],"genre_scores_gemma":[0.992416,0.000010323508,0.00012559386,0.000114197755,0.000046543537,0.000051044746,0.000037630965,0.0000053444273,0.0071933246],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9978957,0.0006010624,0.00019616268,0.00035038163,0.0006433916,0.0003133066],"domain_scores_gemma":[0.9993116,0.00019806258,0.000019637262,0.00027830666,0.00007713416,0.00011523234],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00067862443,0.000091928174,0.00013344488,0.000042380674,0.00027732574,0.00006417419,0.0002073139,0.00008556378,0.010694105],"category_scores_gemma":[0.00018729115,0.000052197418,0.00004517281,0.00017146618,0.0004845786,0.000084544095,0.00072614517,0.0003474023,0.00028476954],"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":[0.00028147237,0.00055198075,0.28254324,0.000017363933,0.000086967186,0.00019628149,0.020301118,0.0019087109,0.6841734,0.0001286225,0.0067081307,0.0031027235],"study_design_scores_gemma":[0.0005337541,0.0004577844,0.7718485,0.00002561869,0.00009981615,0.00003666595,0.0021172783,0.022179395,0.06685356,0.0011319007,0.13445212,0.00026362046],"about_ca_topic_score_codex":0.0023368811,"about_ca_topic_score_gemma":0.0014156097,"teacher_disagreement_score":0.6173198,"about_ca_system_score_codex":0.000045833047,"about_ca_system_score_gemma":0.000010215214,"threshold_uncertainty_score":0.99021024},"labels":[],"label_agreement":null},{"id":"W3178000042","doi":"10.1029/2020wr028786","title":"Nutrient Budgets Calculated in Floodwaters Using a Whole‐Ecosystem Reservoir Creation and Flooding Experiment","year":2021,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Soil and Water Nutrient Dynamics","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":"International Institute for Sustainable Development; Fisheries and Oceans Canada; Trent University","funders":"Fisheries and Oceans Canada; Natural Sciences and Engineering Research Council of Canada; Environment Canada; Manitoba Hydro","keywords":"Environmental science; Nutrient; Organic matter; Ecosystem; Hydrology (agriculture); Aquatic ecosystem; Nutrient cycle; Water quality; Ecology; Biology; Geology","score_opus":0.040245564380525574,"score_gpt":0.3118332566543197,"score_spread":0.27158769227379415,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3178000042","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9978471,0.00018335116,0.00003242115,0.0005215035,0.000065870365,0.0003358133,0.0000063209104,0.00003287421,0.0009747667],"genre_scores_gemma":[0.998779,0.000040486913,0.00026221274,0.000023885075,0.000043597043,0.000045389563,0.000037900787,0.00002911859,0.00073841115],"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9966715,0.00056336075,0.00036177775,0.0006661094,0.00088759034,0.00084966247],"domain_scores_gemma":[0.999296,0.000050992687,0.000028319166,0.0003727802,0.000044964025,0.0002069115],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011691042,0.00018265472,0.0002274174,0.00022045092,0.0003488276,0.00023934376,0.00024283236,0.00012436612,0.00010874352],"category_scores_gemma":[0.000040821124,0.00013800194,0.000045815847,0.0005402202,0.00018417696,0.00022865477,0.0010155999,0.00031481663,0.000138665],"study_design_candidate":"bench_or_experimental","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":[0.00025270894,0.00039090472,0.62326556,0.0001401259,0.000041114672,0.0007216873,0.04523033,0.015854605,0.3131146,0.000023223653,0.00014629721,0.0008188197],"study_design_scores_gemma":[0.004269859,0.00031505583,0.02514104,0.0006459044,0.00002625961,0.00018565779,0.011434722,0.24770604,0.6290998,0.002520056,0.07763085,0.0010248054],"about_ca_topic_score_codex":0.0016553581,"about_ca_topic_score_gemma":0.00019527285,"teacher_disagreement_score":0.5981245,"about_ca_system_score_codex":0.0005641513,"about_ca_system_score_gemma":0.000010620338,"threshold_uncertainty_score":0.5627555},"labels":[],"label_agreement":null},{"id":"W3178313153","doi":"10.1029/2020wr028771","title":"Modeling Reactive Solute Transport in Permafrost‐Affected Groundwater Systems","year":2021,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":61,"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; Ocean Frontier Institute","keywords":"Permafrost; Hydrogeology; Groundwater; Groundwater flow; Environmental science; Hydrology (agriculture); Groundwater discharge; Soil science; Geology; Aquifer; Geotechnical engineering","score_opus":0.10227630447002463,"score_gpt":0.3052863879898366,"score_spread":0.20301008351981198,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3178313153","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.990908,0.0011980654,0.000016002985,0.0003780434,0.00019809173,0.0002970077,0.0010080806,0.000036760393,0.0059599197],"genre_scores_gemma":[0.9904961,0.00020388808,0.000010723446,0.000053055348,0.000274098,0.000012941518,0.0063804565,0.00001484123,0.002553925],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99648654,0.0005972458,0.00034430803,0.00057341676,0.00084996957,0.0011485448],"domain_scores_gemma":[0.9990956,0.00011104507,0.000015300979,0.00036286414,0.00020723183,0.00020793658],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0014150226,0.00019271749,0.00030519912,0.00034605607,0.00031648666,0.00026140074,0.00032323113,0.0001619431,0.0048526847],"category_scores_gemma":[0.000022031654,0.00013452178,0.00008074177,0.0004877349,0.000114554736,0.00030587948,0.000053027718,0.0006550615,0.0007638788],"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":[0.00043894778,0.00019876618,0.863367,0.000384941,0.00007080558,0.003174806,0.050911292,0.037042797,0.04265392,0.000009475612,0.00028191248,0.0014653286],"study_design_scores_gemma":[0.0023358322,0.00045467968,0.32822543,0.00055279175,0.00003088657,0.000408734,0.019065198,0.5708673,0.009287102,0.00035267638,0.06719242,0.0012269651],"about_ca_topic_score_codex":0.050378002,"about_ca_topic_score_gemma":0.07603121,"teacher_disagreement_score":0.5351416,"about_ca_system_score_codex":0.000029665329,"about_ca_system_score_gemma":0.00003848217,"threshold_uncertainty_score":0.99605703},"labels":[],"label_agreement":null},{"id":"W3178902350","doi":"10.1029/2020wr028476","title":"How Do Fractures Influence Hyporheic Exchange in Sedimentary Rock Riverbeds?","year":2021,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Soil and Water Nutrient Dynamics","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":"University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada; Deutsche Forschungsgemeinschaft","keywords":"Bedrock; Geology; Bedform; Sedimentary rock; Hydrology (agriculture); Geomorphology; Hydrogeology; Hyporheic zone; Soil science; Sediment; Sediment transport; Geotechnical engineering; Geochemistry","score_opus":0.020093616591815702,"score_gpt":0.2807289542838327,"score_spread":0.260635337692017,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3178902350","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99324656,0.00039368778,0.000008083616,0.0030380008,0.000059444734,0.00021123257,0.000008567076,0.000033989803,0.0030004196],"genre_scores_gemma":[0.99387,0.0001546654,0.00010855483,0.00035892724,0.000083470346,0.000050815142,0.000036466656,0.00002611066,0.005310974],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99659973,0.00038261045,0.00019832992,0.00064775796,0.001201979,0.0009696077],"domain_scores_gemma":[0.999124,0.00008886552,0.000024017776,0.0005234497,0.000036527283,0.00020313682],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00069267664,0.0001877634,0.0001899807,0.00017823195,0.00024314056,0.0003189278,0.00058320636,0.00013014818,0.0009416094],"category_scores_gemma":[0.000058053043,0.00013480365,0.000061414474,0.0005921899,0.00023471256,0.00041246152,0.0014230653,0.00060321455,0.00084060547],"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":[0.00008383853,0.00020979997,0.9645515,0.00004882634,0.000016987753,0.00078400964,0.012591365,0.0025462247,0.010664859,0.000004254893,0.0028518096,0.005646536],"study_design_scores_gemma":[0.0012572362,0.0001717307,0.23765726,0.00009340322,0.000008241151,0.000052197,0.0021103276,0.0013825754,0.08726496,0.007353081,0.66209674,0.00055221305],"about_ca_topic_score_codex":0.0013004027,"about_ca_topic_score_gemma":0.00018305205,"teacher_disagreement_score":0.7268942,"about_ca_system_score_codex":0.00027383273,"about_ca_system_score_gemma":0.000009024906,"threshold_uncertainty_score":0.9999717},"labels":[],"label_agreement":null},{"id":"W3179575121","doi":"10.1029/2020wr029133","title":"On How Episodic Sediment Supply Influences the Evolution of Channel Morphology, Bedload Transport and Channel Stability in an Experimental Step‐Pool Channel","year":2021,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Sediment Transport Processes","field":"Environmental Science","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; National Key Research and Development Program of China; China Scholarship Council; Canada Foundation for Innovation","keywords":"Bed load; Aggradation; Flume; Sediment; Geology; Sediment transport; Bedform; Channel (broadcasting); Geomorphology; Stream power; Hydrology (agriculture); Flow (mathematics); Soil science; Geotechnical engineering; Mechanics; Fluvial","score_opus":0.03347545617351466,"score_gpt":0.28522926583870456,"score_spread":0.2517538096651899,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3179575121","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9962058,0.0006635971,0.000029221139,0.0021646884,0.000056243567,0.0005453495,0.000032203876,0.000021400872,0.00028149557],"genre_scores_gemma":[0.9993679,0.000057562196,0.000012563884,0.00011637192,0.000034840865,0.00017938764,0.00004395132,0.000016883469,0.00017052611],"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99659175,0.0006373224,0.00033972625,0.00076497387,0.0008852774,0.00078098156],"domain_scores_gemma":[0.9991591,0.000133106,0.00004701548,0.00044865397,0.00004100514,0.00017110839],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001938125,0.00022677355,0.00029907713,0.00015212968,0.0003727985,0.000035247507,0.0004890529,0.0001937385,0.000909997],"category_scores_gemma":[0.000026514115,0.00014781038,0.000058113845,0.00040637353,0.0016811228,0.0003336629,0.00019429805,0.0005429341,0.000027779759],"study_design_candidate":"bench_or_experimental","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":[0.002007072,0.0033012333,0.4644692,0.00025266164,0.00008463958,0.0003902113,0.11889464,0.011121292,0.39872864,0.000102684746,0.0001993288,0.0004483918],"study_design_scores_gemma":[0.0019773147,0.0020724398,0.28205535,0.00009408018,0.000023055249,0.000033564353,0.021771878,0.0034248396,0.68551105,0.0018023099,0.00077123026,0.00046291354],"about_ca_topic_score_codex":0.0020041834,"about_ca_topic_score_gemma":0.0015139417,"teacher_disagreement_score":0.28678238,"about_ca_system_score_codex":0.00018906461,"about_ca_system_score_gemma":0.00002933744,"threshold_uncertainty_score":0.9963829},"labels":[],"label_agreement":null},{"id":"W3181047915","doi":"10.1029/2020wr029186","title":"An Analytical Model With a Generalized Nonlinear Water Transfer Term for the Flow in Dual‐Porosity Media Induced by Constant‐Rate Pumping in a Leaky Fractured Aquifer","year":2021,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Groundwater flow and contamination studies","field":"Environmental Science","cited_by":22,"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":"Ministry of Science and Technology, Taiwan","keywords":"Aquifer; Drawdown (hydrology); Mechanics; Nonlinear system; Groundwater flow; Laplace transform; Flow (mathematics); Geotechnical engineering; Geology; Matrix (chemical analysis); Mathematics; Groundwater; Mathematical analysis; Materials science; Physics","score_opus":0.05810494211348475,"score_gpt":0.31792733625000635,"score_spread":0.2598223941365216,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3181047915","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99329865,0.00003637554,0.003161309,0.002774596,0.000018774746,0.0005387451,0.000034209566,0.000016895825,0.00012044033],"genre_scores_gemma":[0.9977399,0.000016936869,0.00025681916,0.00029819005,0.000039872582,0.00021567964,0.00010079765,0.000028077538,0.0013036951],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9969049,0.00049290963,0.0003409187,0.0006172756,0.0007478527,0.00089612574],"domain_scores_gemma":[0.99923784,0.00017474756,0.000010224468,0.00037720136,0.000068520305,0.00013144841],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001768716,0.00021217777,0.0003091456,0.00012207618,0.0003447203,0.00022456807,0.00029261084,0.00012392635,0.0003509756],"category_scores_gemma":[0.000030306232,0.0001044566,0.000060117654,0.00029211992,0.00039796025,0.00025488372,0.00023467994,0.00048598883,0.000034153523],"study_design_candidate":"bench_or_experimental","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":[0.001227635,0.0005537088,0.02373134,0.000039225484,0.00008868404,0.0002174238,0.08684307,0.0104374625,0.87227005,0.000016260386,0.00015266756,0.0044224705],"study_design_scores_gemma":[0.0051519303,0.0002604248,0.019425334,0.000055780198,0.000037310554,0.000014432138,0.0030355568,0.51531404,0.44452336,0.00021081018,0.01139476,0.0005762493],"about_ca_topic_score_codex":0.0007818398,"about_ca_topic_score_gemma":0.006909057,"teacher_disagreement_score":0.50487655,"about_ca_system_score_codex":0.00016305952,"about_ca_system_score_gemma":0.000021590551,"threshold_uncertainty_score":0.42596167},"labels":[],"label_agreement":null},{"id":"W3184991324","doi":"10.1029/2020wr029457","title":"Intraseasonal‐to‐Interannual Analysis of Discharge and Suspended Sediment Concentration Time‐Series of the Upper Changjiang (Yangtze River)","year":2021,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Sediment Transport Processes","field":"Environmental Science","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":"University of British Columbia","funders":"Horizon 2020 Framework Programme; European Commission","keywords":"Sediment; Sediment transport; Environmental science; Hydrology (agriculture); Sedimentary budget; Discharge; Channel (broadcasting); Precipitation; Surface runoff; Yangtze river; Temporal scales; Geology; China; Drainage basin; Ecology; Geomorphology; Geography; Meteorology","score_opus":0.014402231398466752,"score_gpt":0.2662392501380937,"score_spread":0.25183701873962694,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3184991324","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99650836,0.00010532967,0.000015328453,0.0018291658,0.000017835306,0.00017715381,0.00004149748,0.000005749487,0.0012995667],"genre_scores_gemma":[0.99746907,0.000028339738,0.000058894573,0.000079478734,0.000014309971,0.000013985277,0.00003872279,0.0000060744787,0.0022911225],"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99830407,0.00025224598,0.00021475022,0.00028690635,0.00062108494,0.00032095797],"domain_scores_gemma":[0.9995325,0.00006373871,0.00003199081,0.00022791485,0.00005266779,0.00009118628],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005955777,0.00009058126,0.00020823955,0.000077214296,0.00015999717,0.000020029713,0.00024369877,0.000056218876,0.0072710575],"category_scores_gemma":[0.000034222066,0.000054817207,0.000074499156,0.0006505016,0.0006663009,0.00013345545,0.00028015405,0.00014504987,0.00004980857],"study_design_candidate":"bench_or_experimental","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":[0.00041354794,0.0002486735,0.6021469,0.000071378614,0.0005602996,0.000018308381,0.05336005,0.0011851885,0.34047276,0.0001328016,0.0004493361,0.00094071694],"study_design_scores_gemma":[0.00032847887,0.00015162615,0.23910698,0.000034158908,0.00016462401,0.0000030237595,0.0007837925,0.0008617642,0.7434382,0.00015027865,0.014852576,0.00012449457],"about_ca_topic_score_codex":0.00017691181,"about_ca_topic_score_gemma":0.00022502948,"teacher_disagreement_score":0.40296543,"about_ca_system_score_codex":0.000029581748,"about_ca_system_score_gemma":0.000010590426,"threshold_uncertainty_score":0.9936364},"labels":[],"label_agreement":null},{"id":"W3185842415","doi":"10.1029/2020wr028981","title":"Evaluating Dam Water Release Strategies for Migrating Adult Salmon Using Computational Fluid Dynamic Modeling and Biotelemetry","year":2021,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of British Columbia; BC Hydro (Canada); University of Alberta","funders":"","keywords":"Oncorhynchus; Environmental science; Computational fluid dynamics; Turbulence; Fish <Actinopterygii>; Current (fluid); Fishery; Hydrology (agriculture); Geology; Oceanography; Geotechnical engineering; Meteorology; Engineering; Geography; Biology","score_opus":0.0777869738391409,"score_gpt":0.3752502716541473,"score_spread":0.2974632978150064,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3185842415","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99247605,0.00006145912,0.0054121977,0.0010070492,0.000031561794,0.00032478225,0.000005496042,0.00002759265,0.0006538143],"genre_scores_gemma":[0.9879983,0.00001781102,0.011192915,0.00015257402,0.000034312998,0.000045392753,0.000052585834,0.000019192796,0.00048692152],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9978719,0.0002593496,0.0002501793,0.0004927556,0.00049473904,0.0006310712],"domain_scores_gemma":[0.99951845,0.00014302862,0.000019794821,0.00015340229,0.00010209393,0.000063229876],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013180003,0.00013226632,0.00015361817,0.00009784929,0.0011434607,0.00019079176,0.00014994612,0.00007179092,0.0002637904],"category_scores_gemma":[0.00012475668,0.00009291514,0.000038932158,0.00013363709,0.00024579547,0.00024356443,0.0008576277,0.00020984378,0.00004165146],"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":[0.00012400426,0.000090026515,0.009972447,0.00022424682,0.000091051676,0.000038982173,0.01114083,0.83900464,0.1363449,0.00006994949,0.00041159443,0.002487352],"study_design_scores_gemma":[0.0003938368,0.00009739447,0.0010633403,0.000029330886,0.000016174,0.0000071692225,0.0059107444,0.9830843,0.0039837244,0.004982846,0.00028240244,0.00014873443],"about_ca_topic_score_codex":0.00033425255,"about_ca_topic_score_gemma":0.0007343247,"teacher_disagreement_score":0.14407969,"about_ca_system_score_codex":0.0001071081,"about_ca_system_score_gemma":0.000010946455,"threshold_uncertainty_score":0.87946916},"labels":[],"label_agreement":null},{"id":"W3186552400","doi":"10.1029/2020wr029149","title":"Uncertainty Analysis for Hydrological Models With Interdependent Parameters: An Improved Polynomial Chaos Expansion Approach","year":2021,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Probabilistic and Robust Engineering Design","field":"Decision Sciences","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Polynomial chaos; Soil and Water Assessment Tool; Monte Carlo method; Uncertainty analysis; Probabilistic logic; Propagation of uncertainty; Uncertainty quantification; Computer science; Principal component analysis; Mathematical optimization; Computation; Mathematics; Applied mathematics; Algorithm; Statistics; Streamflow","score_opus":0.25077175544469416,"score_gpt":0.3878037842030334,"score_spread":0.13703202875833925,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3186552400","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5671748,0.000049714003,0.43146798,0.00022497884,0.000034262783,0.0004023359,0.000020784551,0.000049142902,0.00057602674],"genre_scores_gemma":[0.9779683,0.0000035074797,0.019882737,0.00004752854,0.00012306073,0.00019405888,0.00009278958,0.000025653644,0.0016624135],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9939399,0.0013211084,0.00058200967,0.0013084826,0.0019100425,0.00093850226],"domain_scores_gemma":[0.99654835,0.0009705043,0.00006145574,0.0012409309,0.0008177841,0.00036098648],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008442948,0.00023809003,0.0005553007,0.00071239367,0.00040066298,0.0007694509,0.0012477766,0.00018234513,0.00011162129],"category_scores_gemma":[0.00074613886,0.00012030911,0.00026738414,0.0012388802,0.0003239648,0.0002705346,0.00052303035,0.0004761696,0.000024727608],"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":[0.0010015933,0.00033736363,0.0002997912,0.000020051475,0.00029234338,0.000046964036,0.006151716,0.98115844,0.0057983557,0.00009985349,0.000209993,0.0045835553],"study_design_scores_gemma":[0.00071980036,0.00063029834,0.00014688299,0.000008609682,0.00006604577,0.000016524786,0.002686988,0.9870074,0.0029607082,0.0038865204,0.0016304299,0.0002398302],"about_ca_topic_score_codex":0.00016120698,"about_ca_topic_score_gemma":0.000077055745,"teacher_disagreement_score":0.41158524,"about_ca_system_score_codex":0.00010713163,"about_ca_system_score_gemma":0.00006795253,"threshold_uncertainty_score":0.7419833},"labels":[],"label_agreement":null},{"id":"W3186841741","doi":"10.1029/2021wr029832","title":"Improved Regional Scale Dynamic Evapotranspiration Estimation Under Changing Vegetation and Climate","year":2021,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Okanagan University College; University of British Columbia, Okanagan Campus; Kelowna General Hospital; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Evapotranspiration; Environmental science; Vegetation (pathology); Watershed; Climate change; Precipitation; Water balance; Disturbance (geology); Hydrology (agriculture); Snow; Leaf area index; Physical geography; Climatology; Atmospheric sciences; Ecology; Geography; Meteorology; Geology","score_opus":0.021599090338359793,"score_gpt":0.28004422320687317,"score_spread":0.2584451328685134,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3186841741","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99499846,0.00008206138,0.0025402773,0.0007229843,0.00002669023,0.0001652431,0.0000048672878,0.000032515778,0.0014269052],"genre_scores_gemma":[0.9976478,0.00008040782,0.0011034515,0.00006559674,0.000016279451,0.00002829544,0.00018034504,0.00001491931,0.0008628888],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983806,0.00021171653,0.000167393,0.00033371255,0.00045424717,0.00045235164],"domain_scores_gemma":[0.9996486,0.00004474882,0.000021876274,0.00017221573,0.000031961492,0.00008060405],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008591885,0.00009439524,0.00008648822,0.0001293928,0.0004986567,0.00015541572,0.00008505747,0.00008061437,0.00013227852],"category_scores_gemma":[0.000009514208,0.00007549642,0.000028076201,0.00028720705,0.00015530744,0.00026221952,0.00017478211,0.00023766053,0.00012322661],"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":[0.000086068394,0.00013939764,0.014426507,0.00014913172,0.00002920156,0.000038367903,0.017856315,0.19027309,0.7413449,0.0002606009,0.000017434053,0.035378978],"study_design_scores_gemma":[0.0002925372,0.000039939772,0.014588776,0.000034428598,0.000008838693,0.000041345724,0.00019693936,0.9754761,0.0065418803,0.0012754718,0.0013652365,0.00013850631],"about_ca_topic_score_codex":0.00007233644,"about_ca_topic_score_gemma":0.0004747679,"teacher_disagreement_score":0.785203,"about_ca_system_score_codex":0.00012644031,"about_ca_system_score_gemma":0.000005973523,"threshold_uncertainty_score":0.38353145},"labels":[],"label_agreement":null},{"id":"W3187117643","doi":"10.1029/2020wr029281","title":"Linking the Surface and Subsurface in River Deltas—Part 2: Relating Subsurface Geometry to Groundwater Flow Behavior","year":2021,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Groundwater flow and contamination studies","field":"Environmental Science","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"National Science Foundation","keywords":"Aquifer; MODFLOW; Groundwater; Geology; Groundwater flow; Groundwater model; Sedimentary depositional environment; Subsurface flow; Hydrology (agriculture); Delta; River delta; Geomorphology; Geotechnical engineering; Structural basin","score_opus":0.041518643315263316,"score_gpt":0.2957754548078122,"score_spread":0.25425681149254886,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3187117643","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99584645,0.0003401487,0.00015689242,0.0019891344,0.00009102826,0.0004395554,0.0000054865527,0.000032688517,0.0010986163],"genre_scores_gemma":[0.9750354,0.00004431318,0.00082523335,0.00017007305,0.000044330027,0.00006290108,0.000013441219,0.000032361633,0.023771945],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9960665,0.0006958422,0.00036941015,0.000731791,0.0011379753,0.0009984644],"domain_scores_gemma":[0.9989536,0.00027910588,0.000027736787,0.00048963394,0.00008336601,0.000166581],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0026877052,0.0002233074,0.0002481538,0.00010845871,0.0008486259,0.0003787843,0.00044419192,0.00011380151,0.00081504445],"category_scores_gemma":[0.00008333072,0.00014277175,0.000053638945,0.0008414772,0.00046332442,0.0002928777,0.0019333989,0.00065621553,0.0008854595],"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":[0.000045066485,0.00013571227,0.88631934,0.000025900754,0.000023985382,0.00022176217,0.04540286,0.004818153,0.042578977,0.000008196598,0.0006497564,0.019770289],"study_design_scores_gemma":[0.00084058166,0.00014825983,0.60072863,0.00011774871,0.00002498812,0.000055093125,0.0063622277,0.0019253994,0.0487282,0.00012743322,0.34035197,0.0005894835],"about_ca_topic_score_codex":0.0018775612,"about_ca_topic_score_gemma":0.002537845,"teacher_disagreement_score":0.33970222,"about_ca_system_score_codex":0.00023456599,"about_ca_system_score_gemma":0.000009015867,"threshold_uncertainty_score":0.9998925},"labels":[],"label_agreement":null},{"id":"W3188169536","doi":"10.1029/2020wr029001","title":"The Abuse of Popular Performance Metrics in Hydrologic Modeling","year":2021,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":298,"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 Saskatchewan","funders":"Global Water Futures; University of Saskatchewan","keywords":"Hydrological modelling; Environmental science; Hydrology (agriculture); Computer science; Geology; Geotechnical engineering; Climatology","score_opus":0.054645736916195245,"score_gpt":0.2947246862389659,"score_spread":0.24007894932277069,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3188169536","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98666173,0.00045053806,0.00001816776,0.0009253046,0.00002526672,0.00011402804,3.3462177e-7,0.000008808397,0.011795805],"genre_scores_gemma":[0.99646366,0.000981788,0.000052593376,0.00004820879,0.000011542895,0.00002363761,0.0000020048353,0.0000064641094,0.0024100845],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99817127,0.00031612132,0.00020681378,0.0002537733,0.00050766935,0.0005443768],"domain_scores_gemma":[0.9995581,0.00006356499,0.000015119028,0.00030984572,0.000020054813,0.000033322194],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002194107,0.00007488574,0.000119808064,0.000108089516,0.00041078113,0.000027509896,0.00040896214,0.000053628955,0.00008931289],"category_scores_gemma":[0.00007578354,0.000040853734,0.000031523665,0.0005434594,0.00037142835,0.00008453147,0.0007807902,0.00029956902,0.00020044982],"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":[0.00016716526,0.00023591044,0.68592125,0.00006482585,0.0000671281,0.000111011475,0.02146672,0.2818066,0.00512871,0.00010638496,0.00043900934,0.0044852756],"study_design_scores_gemma":[0.0011316212,0.00032706393,0.020661661,0.00004716156,0.000023050214,0.000008369552,0.003053623,0.6861143,0.035663065,0.0054603666,0.24709946,0.00041027766],"about_ca_topic_score_codex":0.00022046911,"about_ca_topic_score_gemma":0.00014902824,"teacher_disagreement_score":0.6652596,"about_ca_system_score_codex":0.00005400832,"about_ca_system_score_gemma":0.0000019433471,"threshold_uncertainty_score":0.31594378},"labels":[],"label_agreement":null},{"id":"W3188619913","doi":"10.1029/2021wr030263","title":"A Hydrologic Functional Approach for Improving Large‐Sample Hydrology Performance in Poorly Gauged Regions","year":2021,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Watershed Management Studies","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":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Streamflow; Environmental science; Hydrograph; Drainage basin; Hydrology (agriculture); Predictability; Hydrological modelling; Catchment hydrology; Baseflow; Ecohydrology; Geography; Ecology; Climatology; Geology; Ecosystem; Statistics; Mathematics","score_opus":0.051567181663842165,"score_gpt":0.27734775132612194,"score_spread":0.22578056966227977,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3188619913","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98382384,0.00007617681,0.0028840362,0.002405034,0.000050311635,0.00046813177,0.000008661926,0.000041945037,0.010241888],"genre_scores_gemma":[0.99266356,0.000025897665,0.001095821,0.00039660043,0.00007430885,0.000459553,0.0001088354,0.000018221024,0.0051571834],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99705476,0.00038570704,0.00024876007,0.0006991293,0.00040955795,0.0012020977],"domain_scores_gemma":[0.9993095,0.0002050819,0.000027161072,0.00034644935,0.000028987197,0.00008285199],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021343138,0.00015874434,0.0002220192,0.00018416674,0.0008004036,0.00004416281,0.0003358756,0.00014490401,0.00078794814],"category_scores_gemma":[0.00016293686,0.00011706684,0.00007143895,0.00036748394,0.00044814116,0.00016392773,0.0011184623,0.00046512584,0.00021823184],"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":[0.0011746896,0.0012067107,0.91138726,0.0002965576,0.00013839813,0.00013327702,0.012731759,0.04247033,0.02302195,0.0006502374,0.0046206713,0.0021681422],"study_design_scores_gemma":[0.0057327147,0.0012339994,0.16841589,0.00002070999,0.00005411064,0.00006997677,0.0023123054,0.26232702,0.016011221,0.0123191485,0.53051126,0.0009916386],"about_ca_topic_score_codex":0.0002760913,"about_ca_topic_score_gemma":0.00026361132,"teacher_disagreement_score":0.7429714,"about_ca_system_score_codex":0.00012271956,"about_ca_system_score_gemma":0.000008583852,"threshold_uncertainty_score":0.86274797},"labels":[],"label_agreement":null},{"id":"W3188707349","doi":"10.1029/2020wr028719","title":"Where and When to Collect Tracer Data to Diagnose Hillslope Permeability Architecture","year":2021,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Watershed Management Studies","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":false,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"TRACER; Hydrology (agriculture); Hydraulic conductivity; Streamflow; Permeability (electromagnetism); Water table; Geology; Macropore; Equifinality; Soil science; Environmental science; Subsurface flow; Groundwater; Soil water; Computer science; Drainage basin; Geotechnical engineering; Cartography; Artificial intelligence; Geography","score_opus":0.05877680975530463,"score_gpt":0.3209047284619748,"score_spread":0.2621279187066702,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3188707349","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9431047,0.00019747515,0.000033000728,0.04718006,0.00003338782,0.000536396,0.000030431127,0.000029673822,0.008854873],"genre_scores_gemma":[0.9710613,0.00010644289,0.0009819706,0.0013205922,0.00007931924,0.00011641732,0.000028826222,0.000022579556,0.026282571],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99698395,0.0005376096,0.00016528807,0.0009614013,0.0005918082,0.00075993274],"domain_scores_gemma":[0.99850255,0.0001720576,0.000008160096,0.0010126834,0.000024726847,0.0002798253],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0015910486,0.00015248773,0.00019775092,0.00009881084,0.0005952782,0.00013978298,0.00076045067,0.00007027787,0.0042466307],"category_scores_gemma":[0.00029413792,0.00010386827,0.000024068633,0.00033608434,0.0003739694,0.0001163408,0.0070655406,0.00033965724,0.0010744615],"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":[0.0005104591,0.0004313728,0.38451517,0.00019122871,0.00016976726,0.0004579123,0.12692164,0.0020615605,0.028160963,0.000010244949,0.42438293,0.03218673],"study_design_scores_gemma":[0.00022512919,0.00014670013,0.036858447,0.000020806252,0.00000885781,0.0000074260406,0.00066492375,0.000061639854,0.0031530312,0.0005647217,0.9581111,0.00017720576],"about_ca_topic_score_codex":0.0007313209,"about_ca_topic_score_gemma":0.00700267,"teacher_disagreement_score":0.5337282,"about_ca_system_score_codex":0.00008028078,"about_ca_system_score_gemma":0.0000055128185,"threshold_uncertainty_score":0.9997033},"labels":[],"label_agreement":null},{"id":"W3188808628","doi":"10.1029/2021wr030211","title":"Assessing Different Plant‐Centric Water Stress Metrics for Irrigation Efficacy Using Soil‐Plant‐Atmosphere‐Continuum Simulation","year":2021,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":29,"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":"National Institute of Food and Agriculture","keywords":"Environmental science; Irrigation; Irrigation scheduling; Water content; Agricultural engineering; Deficit irrigation; Water scarcity; Water resources; Environmental engineering; Water resource management; Soil water; Irrigation management; Engineering; Soil science; Agronomy; Ecology","score_opus":0.06293358641925215,"score_gpt":0.3255747700283345,"score_spread":0.2626411836090824,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3188808628","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99466074,0.00006404681,0.0034104404,0.00014277839,0.0001493166,0.0004957657,0.00010537431,0.000052958043,0.00091855816],"genre_scores_gemma":[0.9965734,0.000017705252,0.0005683791,0.000023673092,0.00013545499,0.000025709736,0.0012247551,0.00004334901,0.0013875731],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.996451,0.0004047081,0.00042972146,0.0006346296,0.0010679536,0.001011987],"domain_scores_gemma":[0.99890316,0.00037429706,0.00006064045,0.00038796943,0.000090142355,0.00018381003],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007160782,0.00023880618,0.00026928147,0.00012310126,0.00070297683,0.00076137984,0.00032574064,0.00019525815,0.0005264162],"category_scores_gemma":[0.00009090174,0.00015483178,0.00011963617,0.00047470516,0.00012941846,0.000448208,0.00050001004,0.00038509903,0.0001077892],"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":[0.00014678591,0.00045599174,0.10144801,0.00013042324,0.00008784023,0.00010670014,0.0039142272,0.7687506,0.11942527,0.000023603656,0.00013488604,0.0053756447],"study_design_scores_gemma":[0.00091291306,0.00005175702,0.0072669624,0.00007913395,0.00004563829,0.00002039282,0.00030451795,0.85215336,0.12888578,0.00051001844,0.009423624,0.0003458865],"about_ca_topic_score_codex":0.00030867412,"about_ca_topic_score_gemma":0.00033021456,"teacher_disagreement_score":0.094181046,"about_ca_system_score_codex":0.00037710991,"about_ca_system_score_gemma":0.000012540565,"threshold_uncertainty_score":0.73420036},"labels":[],"label_agreement":null},{"id":"W3190094972","doi":"10.1029/2020wr029083","title":"A Simple Chamber Design for Calibrating Weiss Saturometers and Recommendations for Measuring and Reporting Total Dissolved Gases","year":2021,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Fish Ecology and Management Studies","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":false,"ca_institutions":"Carleton University; University of British Columbia","funders":"","keywords":"Calibration; Supersaturation; Hydroelectricity; Environmental science; Downstream (manufacturing); Protocol (science); Computer science; Process engineering; Point (geometry); Remote sensing; Hydrology (agriculture); Chemistry; Statistics; Engineering; Electrical engineering; Operations management; Geology; Mathematics; Geotechnical engineering","score_opus":0.1625763135022893,"score_gpt":0.3506601557559969,"score_spread":0.1880838422537076,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3190094972","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99254215,0.000036990623,0.0019044457,0.004214447,0.000025855574,0.0006283844,0.000008272218,0.00002255751,0.00061691075],"genre_scores_gemma":[0.9879333,0.000029548351,0.0087552015,0.00013310237,0.000038018257,0.0003846264,0.000025803869,0.000017128144,0.0026832963],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998589,0.00015371393,0.00027932014,0.00037275214,0.00015621886,0.00044899678],"domain_scores_gemma":[0.99916214,0.00055255456,0.00006974727,0.000121573066,0.000026479718,0.000067485504],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019265563,0.000086871456,0.00014993988,0.00004964431,0.0009894453,0.000110442386,0.000051743482,0.00003898408,0.00014231128],"category_scores_gemma":[0.0010060496,0.00006748877,0.000029632232,0.000094650255,0.00017936587,0.00014597244,0.00058441964,0.00010147404,0.0000028941984],"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":[0.0007394357,0.00039586934,0.6775962,0.0010634117,0.0006150421,0.00019291788,0.04631854,0.0016604392,0.12666096,0.00016642158,0.121087186,0.023503538],"study_design_scores_gemma":[0.004123825,0.0013520909,0.45168775,0.00022998148,0.00015835914,0.00016408104,0.02451989,0.0297729,0.14339742,0.009546355,0.3337074,0.0013399539],"about_ca_topic_score_codex":0.00007032475,"about_ca_topic_score_gemma":0.0002624449,"teacher_disagreement_score":0.22590849,"about_ca_system_score_codex":0.000034610774,"about_ca_system_score_gemma":0.0000032718538,"threshold_uncertainty_score":0.7610113},"labels":[],"label_agreement":null},{"id":"W3190452645","doi":"10.1029/2021wr030070","title":"A Model for the Soil Freezing Characteristic Curve That Represents the Dominant Role of Salt Exclusion","year":2021,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":44,"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":"Global Water Futures","keywords":"Soil water; Freezing-point depression; Freezing point; Soil salinity; Soil science; Salinity; Salt (chemistry); Chemistry; Adsorption; Thermodynamics; Materials science; Environmental science; Geology; Physics","score_opus":0.1459555555986083,"score_gpt":0.3274018424743817,"score_spread":0.1814462868757734,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3190452645","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9932292,0.002126216,0.000053701107,0.0022913297,0.000092792936,0.000390348,0.0008923678,0.000007378338,0.00091664155],"genre_scores_gemma":[0.995925,0.0006138301,0.000013206236,0.00009353411,0.00022233061,0.000019579955,0.0005970991,0.000008477943,0.0025069267],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99786043,0.0003071357,0.00021300113,0.00030717553,0.00071252516,0.000599727],"domain_scores_gemma":[0.9981625,0.00096716365,0.000046206824,0.0005603378,0.0001820442,0.00008174466],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0019391712,0.0001127996,0.0001735496,0.00006986467,0.00083369546,0.00018822262,0.00060330104,0.00006591765,0.001492653],"category_scores_gemma":[0.00013718149,0.0000490091,0.00010615179,0.00017449683,0.00023911541,0.000094724615,0.00024462366,0.00028290282,0.00007811147],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014941104,0.00015420643,0.4536763,0.00044456348,0.000157004,0.00008738417,0.12817432,0.007776601,0.3622045,0.000032636024,0.0045557017,0.041242667],"study_design_scores_gemma":[0.00049060985,0.00010266678,0.044047862,0.00010277008,0.000025845013,0.000028325265,0.0064454665,0.8058144,0.07517217,0.0018297755,0.065752245,0.00018790002],"about_ca_topic_score_codex":0.0076774457,"about_ca_topic_score_gemma":0.015437,"teacher_disagreement_score":0.79803777,"about_ca_system_score_codex":0.0000060729762,"about_ca_system_score_gemma":0.000031645675,"threshold_uncertainty_score":0.9994201},"labels":[],"label_agreement":null},{"id":"W3190910014","doi":"10.1029/2020wr029282","title":"Linking the Surface and Subsurface in River Deltas—Part 1: Relating Surface and Subsurface Geometries","year":2021,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Geological formations and processes","field":"Earth and Planetary Sciences","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":"Queen's University; Geological Survey of Canada","funders":"National Science Foundation","keywords":"Subsurface flow; Aquifer; Groundwater; Geology; Hydrology (agriculture); Delta; Surface water; Environmental science; Sediment; Soil science; Geomorphology; Geotechnical engineering","score_opus":0.05912682912319272,"score_gpt":0.282531093094242,"score_spread":0.2234042639710493,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3190910014","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98254573,0.011654852,0.0000074410873,0.0022592936,0.00004926674,0.0001976129,0.000026506414,0.000028425708,0.0032308705],"genre_scores_gemma":[0.9954936,0.0014892223,0.0006107328,0.00006870405,0.00003112254,9.917302e-7,0.00005678708,0.0000061941705,0.0022426716],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9972174,0.0005918294,0.0003272179,0.00044331985,0.0006443063,0.000775916],"domain_scores_gemma":[0.9980234,0.0013180327,0.00004070576,0.00026201815,0.00020386786,0.00015200401],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0032176985,0.00017177782,0.00023236524,0.000104365026,0.00096516486,0.0005291164,0.00029431816,0.00013974393,0.0008216323],"category_scores_gemma":[0.00032341393,0.00009827509,0.000028921513,0.0009878309,0.0006266796,0.00037575455,0.00022434142,0.0007410831,0.00013928766],"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":[0.000042310574,0.000012643766,0.9665619,0.0000933387,0.000013500373,0.00004548051,0.008997147,0.019795295,0.00033501346,0.00002528716,0.00009663116,0.00398142],"study_design_scores_gemma":[0.0007605376,0.00023211664,0.75653976,0.00021065585,0.000015575504,0.0001225152,0.009688037,0.016259657,0.008636626,0.0048731947,0.20210466,0.00055666774],"about_ca_topic_score_codex":0.0034186388,"about_ca_topic_score_gemma":0.0038964897,"teacher_disagreement_score":0.21002218,"about_ca_system_score_codex":0.0000074384902,"about_ca_system_score_gemma":0.000037102553,"threshold_uncertainty_score":0.8996297},"labels":[],"label_agreement":null},{"id":"W3191479905","doi":"10.1029/2021wr029678","title":"Column Relative Humidity and Primary Condensation Rate as Two Useful Supplements to Atmospheric River Analysis","year":2021,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Climate variability and models","field":"Environmental Science","cited_by":31,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"BGC Engineering (Canada); Environment and Climate Change Canada","funders":"Environment and Climate Change Canada","keywords":"Environmental science; Precipitation; Orographic lift; Saturation (graph theory); Relative humidity; Humidity; Atmospheric sciences; Water vapor; Meteorology; Moisture; Convection; Storm; Atmosphere (unit); Condensation; Mathematics; Geology; Physics","score_opus":0.04822288490678059,"score_gpt":0.331993114495292,"score_spread":0.2837702295885114,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3191479905","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.991954,0.000016525311,0.0001816508,0.000964482,0.000018505265,0.0003642206,0.000029127223,0.000019946498,0.0064514955],"genre_scores_gemma":[0.98940915,0.00002769154,0.0010806959,0.00027601435,0.000021115373,0.000045721856,0.000101278965,0.000012890504,0.009025425],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99693775,0.00087662606,0.00023717542,0.00065174047,0.0007560852,0.00054061494],"domain_scores_gemma":[0.99903023,0.00021706038,0.000026181913,0.0004229429,0.00007071584,0.00023285495],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0020153425,0.00012355504,0.00021957136,0.000042361473,0.00041787064,0.0001647538,0.00020601785,0.000066776454,0.011671099],"category_scores_gemma":[0.00012722003,0.00010141662,0.00006666298,0.0009211053,0.0003809858,0.00026228058,0.00118285,0.00025468197,0.00094213703],"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":[0.00028479376,0.0003204303,0.81151533,0.000054321466,0.00040809918,0.00012542157,0.03965686,0.013923755,0.13102295,0.00009235926,0.0016759115,0.00091977505],"study_design_scores_gemma":[0.0019030301,0.0004004926,0.7295549,0.000029332537,0.00027940053,0.000011716106,0.0015421546,0.01445337,0.04862124,0.012891856,0.189619,0.00069349614],"about_ca_topic_score_codex":0.0037885203,"about_ca_topic_score_gemma":0.001552295,"teacher_disagreement_score":0.1879431,"about_ca_system_score_codex":0.0003302404,"about_ca_system_score_gemma":0.000014880681,"threshold_uncertainty_score":0.9998357},"labels":[],"label_agreement":null},{"id":"W3192541426","doi":"10.1029/2021wr029926","title":"Multi‐Sensor Fusion for Transient‐Based Pipeline Leak Localization in the Dempster‐Shafer Evidence Framework","year":2021,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Water Systems and Optimization","field":"Engineering","cited_by":15,"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 British Columbia","funders":"Research Grants Council, University Grants Committee; National Natural Science Foundation of China","keywords":"Leak; Leak detection; Dempster–Shafer theory; Leakage (economics); Sensor fusion; Computer science; Transient (computer programming); Signature (topology); Artificial intelligence; Noise (video); Pipeline (software); Data mining; Pattern recognition (psychology); Engineering; Mathematics","score_opus":0.10003026243386655,"score_gpt":0.33978053106112405,"score_spread":0.2397502686272575,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3192541426","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.23165832,0.0013122685,0.763193,0.0021056985,0.00021739527,0.0011241074,0.000013586257,0.00011322709,0.00026239723],"genre_scores_gemma":[0.99519116,0.00006535913,0.003146338,0.0001333281,0.00018934465,0.00017267819,0.0000717283,0.00004511951,0.0009849634],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99792224,0.00042836787,0.00032423926,0.00028981004,0.00053390727,0.0005014172],"domain_scores_gemma":[0.9989331,0.00035812872,0.000011973181,0.00038295027,0.00025646953,0.000057414687],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001374687,0.00013598152,0.00016233166,0.00020388264,0.00018567326,0.0002194824,0.0002834602,0.0001602857,0.000069339556],"category_scores_gemma":[0.00019678383,0.000085395885,0.00006351531,0.0004880581,0.000047009216,0.00013496578,0.00004057188,0.0003325902,0.00003902522],"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":[0.00010690132,0.00008745988,0.0014973826,0.0006483199,0.000011456316,0.000040274375,0.020046625,0.96156704,0.011875138,0.000012351265,0.003303675,0.0008033594],"study_design_scores_gemma":[0.00049453095,0.000042543492,0.00037973357,0.0005049191,0.0000060387747,0.000003993158,0.0007650839,0.88972956,0.026267897,0.00003626456,0.081622265,0.00014719497],"about_ca_topic_score_codex":0.00007880214,"about_ca_topic_score_gemma":0.0006500399,"teacher_disagreement_score":0.7635328,"about_ca_system_score_codex":0.00006597896,"about_ca_system_score_gemma":0.000013477141,"threshold_uncertainty_score":0.3482343},"labels":[],"label_agreement":null},{"id":"W3195571708","doi":"10.1029/2021wr029662","title":"Large‐Scale Particle Image Velocimetry Reveals Pulsing of Incoming Flow at a Stream Confluence","year":2021,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Sediment Transport Processes","field":"Environmental Science","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 Waterloo","funders":"National Science Foundation","keywords":"Confluence; Particle image velocimetry; Vortex; Flow (mathematics); Geology; Mechanics; Tributary; Mixing (physics); Vorticity; Geometry; Meteorology; Physics; Geography; Turbulence; Cartography; Mathematics","score_opus":0.02245679962529731,"score_gpt":0.29749473527862036,"score_spread":0.2750379356533231,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3195571708","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.993999,0.00021453749,0.00006693007,0.00074526883,0.000016455637,0.000115152565,0.000014123328,0.000023283796,0.0048052147],"genre_scores_gemma":[0.9943558,0.000027220252,0.0010083051,0.00010223968,0.000032101885,0.000014521589,0.000017671315,0.000015113485,0.0044270405],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9975791,0.00028234668,0.0002935197,0.00042344528,0.00068478973,0.0007368097],"domain_scores_gemma":[0.999305,0.00012032751,0.000030966563,0.00034482215,0.000052068863,0.00014681023],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0013690204,0.000112452246,0.0002001264,0.00004568937,0.000391475,0.000037823083,0.00032661067,0.00009726341,0.010115791],"category_scores_gemma":[0.00007001921,0.00008741369,0.000053897125,0.00035939942,0.0005545188,0.00021843014,0.0005430336,0.00028681787,0.00092229364],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009321711,0.00019361978,0.20535226,0.000067725574,0.000019368612,0.000114757255,0.016539453,0.0006738192,0.77544457,0.0000031812967,0.00021457058,0.0012834626],"study_design_scores_gemma":[0.0004371871,0.00006510352,0.023561984,0.000038953713,0.000010067245,0.000014736984,0.00086074264,0.0025385292,0.94775593,0.00016352064,0.024417782,0.00013545323],"about_ca_topic_score_codex":0.00009580978,"about_ca_topic_score_gemma":0.00019748465,"teacher_disagreement_score":0.18179029,"about_ca_system_score_codex":0.00008510159,"about_ca_system_score_gemma":0.000010616241,"threshold_uncertainty_score":0.9998556},"labels":[],"label_agreement":null},{"id":"W3196867077","doi":"10.1029/2020wr028393","title":"Incorporating Uncertainty Into Multiscale Parameter Regionalization to Evaluate the Performance of Nationally Consistent Parameter Fields for a Hydrological Model","year":2021,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":39,"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":"Engineering and Physical Sciences Research Council; Natural Environment Research Council; Sight Research UK","keywords":"Parameter space; Hydrograph; Estimation theory; Calibration; Field (mathematics); Spatial variability; Representation (politics); Scale (ratio); Computer science; Uncertainty analysis; Hydrological modelling; Environmental science; Drainage basin; Statistics; Mathematics; Geology; Geography; Cartography","score_opus":0.07424265382596373,"score_gpt":0.33140438883930057,"score_spread":0.25716173501333683,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3196867077","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9849569,0.00001734455,0.0031905097,0.010425061,0.00002288652,0.00052807864,0.0000030892004,0.000011286922,0.00084480055],"genre_scores_gemma":[0.99341995,0.000010418484,0.0031209702,0.00092590647,0.000020962474,0.00032548537,0.00002466087,0.000007989563,0.002143645],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9980731,0.0003330161,0.0002640981,0.0003655588,0.00061180146,0.00035242343],"domain_scores_gemma":[0.9990404,0.000491656,0.000031485783,0.0002662735,0.00011596169,0.000054186803],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018279252,0.00010458041,0.0001529788,0.000056594305,0.00050615007,0.000035720383,0.00029830026,0.00007866162,0.0001403281],"category_scores_gemma":[0.00039268058,0.000058288817,0.000065884786,0.00019011319,0.00050005916,0.00007807451,0.00077188865,0.00017304554,0.000055356773],"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":[0.00034093054,0.00011634224,0.030398564,0.000059666923,0.00007425781,0.000005141904,0.007763638,0.95043886,0.0067398013,0.0002544583,0.0024743075,0.0013340194],"study_design_scores_gemma":[0.00046457275,0.00033479912,0.0034832722,0.000022277387,0.000020210831,0.0000029498874,0.00020859139,0.96189755,0.012418599,0.013971348,0.007033536,0.00014227311],"about_ca_topic_score_codex":0.00008530246,"about_ca_topic_score_gemma":0.0001711545,"teacher_disagreement_score":0.026915293,"about_ca_system_score_codex":0.00006527589,"about_ca_system_score_gemma":0.000009055362,"threshold_uncertainty_score":0.3892948},"labels":[],"label_agreement":null},{"id":"W3197752646","doi":"10.1029/2020wr028827","title":"Soil Moisture Responses to Rainfall: Implications for Runoff Generation","year":2021,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":172,"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":"Farm Service Agency; U.S. Department of Agriculture; National Science Foundation","keywords":"Surface runoff; Antecedent moisture; Environmental science; Storm; Water content; Hydrology (agriculture); Precipitation; Drainage basin; Soil science; Runoff curve number; Geology; Ecology; Geography; Meteorology","score_opus":0.07156351476032356,"score_gpt":0.3456673947757532,"score_spread":0.2741038800154296,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3197752646","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9429083,0.000047623624,0.00068287656,0.047301475,0.00004874452,0.00045192704,0.000014488482,0.000036300138,0.008508255],"genre_scores_gemma":[0.94842154,0.000024059787,0.0008028687,0.0011099878,0.00015715328,0.00048142378,0.000055291795,0.000016227923,0.04893145],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.99834573,0.00025597692,0.00014801855,0.00044401042,0.00026487652,0.0005413907],"domain_scores_gemma":[0.99935627,0.00010755452,0.0000108041295,0.00036994595,0.0000535735,0.00010183287],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0010604296,0.0000966065,0.000108490276,0.000091929876,0.0008877896,0.00009204662,0.00027456408,0.00006537638,0.00047836266],"category_scores_gemma":[0.00017854865,0.000070453025,0.00004781502,0.00025048168,0.00018468895,0.00008209948,0.0007570355,0.000136461,0.00078032416],"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":[0.00029031522,0.00018117056,0.09326336,0.000034117988,0.00009618945,0.000023344157,0.014767457,0.0041883513,0.6434419,0.0004878797,0.23775841,0.0054674684],"study_design_scores_gemma":[0.00025196062,0.000106372114,0.056364294,0.0000038411476,0.000008368453,0.000003367862,0.0002112937,0.00016047752,0.053496182,0.0018407499,0.8874174,0.00013570856],"about_ca_topic_score_codex":0.0001803556,"about_ca_topic_score_gemma":0.0007336875,"teacher_disagreement_score":0.649659,"about_ca_system_score_codex":0.00008583438,"about_ca_system_score_gemma":0.000005942079,"threshold_uncertainty_score":0.9999977},"labels":[],"label_agreement":null},{"id":"W3199183694","doi":"10.1029/2021wr029731","title":"Stochastic Rainwater Harvesting System Modeling Under Random Rainfall Features and Variable Water Demands","year":2021,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Urban Stormwater Management Solutions","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":true,"ca_institutions":"McMaster University; University of Regina","funders":"","keywords":"Rainwater harvesting; Reliability (semiconductor); Environmental science; Water balance; Stochastic simulation; Computer science; Hydrology (agriculture); Mathematics; Statistics; Engineering; Geotechnical engineering","score_opus":0.0393364581793086,"score_gpt":0.26834046336328654,"score_spread":0.22900400518397795,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3199183694","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9469628,0.00020522147,0.027418122,0.0012203683,0.0001166936,0.0005933382,0.000006605749,0.00017850015,0.02329839],"genre_scores_gemma":[0.95342904,0.0000044533153,0.0010572001,0.00011271217,0.000121292134,0.00010266315,0.000044768763,0.00005229054,0.045075573],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99578685,0.0005988616,0.00036646196,0.0008179012,0.0010472892,0.0013826666],"domain_scores_gemma":[0.9989602,0.00012509426,0.000021456979,0.00056263944,0.000068897134,0.0002617109],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0025012605,0.00026096843,0.0002993625,0.00019134037,0.0011201354,0.0006126596,0.0004215463,0.00013364322,0.0010690495],"category_scores_gemma":[0.00006106671,0.00016189403,0.00006726972,0.0002735642,0.0003411066,0.00038828285,0.0021122352,0.000518298,0.0007156269],"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":[0.0003585925,0.00018422137,0.0032191875,0.00044896232,0.0002896613,0.00031274272,0.025970828,0.7777024,0.18489638,0.00067699706,0.005453118,0.0004869066],"study_design_scores_gemma":[0.010645522,0.00029527713,0.0026272784,0.00071800617,0.00029181546,0.000792402,0.011597833,0.8226158,0.03459572,0.007941329,0.10545435,0.0024246667],"about_ca_topic_score_codex":0.0016392954,"about_ca_topic_score_gemma":0.00017300357,"teacher_disagreement_score":0.15030067,"about_ca_system_score_codex":0.00031492035,"about_ca_system_score_gemma":0.000009197255,"threshold_uncertainty_score":0.99984413},"labels":[],"label_agreement":null},{"id":"W3202149670","doi":"10.1029/2020wr028535","title":"Changing Water Resources Under El Niño, Climate Change, and Growing Water Demands in Seasonally Dry Tropical Watersheds","year":2021,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Climate variability and models","field":"Environmental Science","cited_by":23,"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; University of British Columbia","funders":"","keywords":"Environmental science; Evapotranspiration; Groundwater recharge; Climate change; Streamflow; Water resources; Hydrology (agriculture); Dry season; Groundwater; Tropics; Watershed; Water resource management; Geography; Aquifer; Drainage basin; Ecology; Geology","score_opus":0.061209432049283856,"score_gpt":0.30486663724891705,"score_spread":0.2436572051996332,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3202149670","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9901438,0.0001126162,0.000024356414,0.006298376,0.00007655852,0.00040975242,0.000009942875,0.000068023364,0.0028565752],"genre_scores_gemma":[0.99690163,0.00016759295,0.00015016743,0.0006421441,0.00023037591,0.00015241472,0.0000643362,0.00006451929,0.0016268307],"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99356556,0.00087658176,0.0004986992,0.0011486128,0.0012126876,0.0026978315],"domain_scores_gemma":[0.998846,0.00013532944,0.000019017762,0.00059353194,0.000046569377,0.0003595789],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0030158688,0.00035074842,0.00043121882,0.00036804538,0.00075176964,0.0004157961,0.00050109794,0.00027908428,0.002681328],"category_scores_gemma":[0.000031201107,0.0002031903,0.00011982208,0.00034559902,0.0006001792,0.00067322724,0.0035420738,0.00077638077,0.00068871456],"study_design_candidate":"bench_or_experimental","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":[0.00056474167,0.0004899726,0.4341782,0.00046380027,0.00007003907,0.000776541,0.17086686,0.001622513,0.3878676,0.0001920868,0.00005242788,0.0028552222],"study_design_scores_gemma":[0.005193278,0.0006189703,0.21744783,0.0007257401,0.00008813025,0.00020680923,0.017307362,0.021817777,0.59432626,0.012811092,0.1270161,0.0024406833],"about_ca_topic_score_codex":0.00046468573,"about_ca_topic_score_gemma":0.0005749773,"teacher_disagreement_score":0.21673039,"about_ca_system_score_codex":0.0002577811,"about_ca_system_score_gemma":0.0000049744954,"threshold_uncertainty_score":0.99823034},"labels":[],"label_agreement":null},{"id":"W3202997833","doi":"10.1029/2020wr029433","title":"HUP‐BMA: An Integration of Hydrologic Uncertainty Processor and Bayesian Model Averaging for Streamflow Forecasting","year":2021,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":35,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"United Nations University Institute for Water, Environment, and Health; McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Streamflow; Probabilistic logic; Bayesian probability; Hydrological modelling; Bayesian inference; Environmental science; Range (aeronautics); Uncertainty analysis; Computer science; Climatology; Geography; Engineering; Geology; Artificial intelligence; Cartography; Simulation","score_opus":0.07924194088661857,"score_gpt":0.31909487712585166,"score_spread":0.2398529362392331,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3202997833","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9920599,0.000034621207,0.0037860407,0.0009851679,0.0000112861,0.0003090307,0.000005709917,0.00002001338,0.0027882461],"genre_scores_gemma":[0.9963848,0.00001958069,0.0019413509,0.000068978865,0.00002363554,0.00008544108,0.000030215617,0.000011344599,0.0014346793],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984616,0.00016507543,0.00018708254,0.0004198617,0.00029462468,0.00047175257],"domain_scores_gemma":[0.99958485,0.00008424114,0.000029964494,0.00018670969,0.000047243062,0.000066962115],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011377374,0.000111280424,0.00016437488,0.0000804785,0.00044983006,0.000047215235,0.0001834037,0.00006797819,0.00009387479],"category_scores_gemma":[0.00010301353,0.000075313576,0.000031388165,0.0001418317,0.0003600578,0.00019527775,0.0004695634,0.00017019759,0.000006167],"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":[0.00091900624,0.000596639,0.111802906,0.0006413011,0.00018852353,0.00007990372,0.09010911,0.5819775,0.1580921,0.00034647548,0.0008581471,0.05438842],"study_design_scores_gemma":[0.000399228,0.00023317008,0.0005340144,0.000023356195,0.000013884527,0.000004093481,0.001269111,0.95662975,0.028571565,0.011021967,0.0011784253,0.00012143872],"about_ca_topic_score_codex":0.00018116969,"about_ca_topic_score_gemma":0.00032668927,"teacher_disagreement_score":0.37465227,"about_ca_system_score_codex":0.000044162687,"about_ca_system_score_gemma":0.00000490676,"threshold_uncertainty_score":0.34597746},"labels":[],"label_agreement":null},{"id":"W3204434868","doi":"10.1029/2021wr030069","title":"Evidence of Smoke From Wildland Fire in Surface Water of an Unburned Watershed","year":2021,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Fire effects on ecosystems","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":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Smoke; Environmental science; Vegetation (pathology); Hydrology (agriculture); Particulates; Prescribed burn; Water quality; Rainwater harvesting; Deposition (geology); Environmental chemistry; Meteorology; Ecology; Forestry; Geology; Sediment; Chemistry; Geography","score_opus":0.05317513319071762,"score_gpt":0.30953078912069626,"score_spread":0.25635565592997867,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3204434868","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9985017,0.00025563609,0.000001158257,0.00047795402,0.000045420642,0.0003127966,0.00001249546,0.000014778021,0.00037804348],"genre_scores_gemma":[0.99879223,0.000034586006,0.00013615451,0.000015564656,0.00002936732,0.000012980091,0.0000331869,0.000027254478,0.0009186861],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99549997,0.0014377085,0.00047935042,0.00059267326,0.0012457907,0.000744498],"domain_scores_gemma":[0.9986112,0.00030415747,0.00004173909,0.0008282311,0.00005841747,0.00015622904],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0026545133,0.00016279108,0.00037986762,0.00008215108,0.00008129759,0.000060754428,0.00070172263,0.00013509035,0.0032847396],"category_scores_gemma":[0.00012643899,0.00010018924,0.00006453293,0.00033598114,0.00037267638,0.00035986808,0.00085267914,0.00034314566,0.00030824146],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001987433,0.00013920174,0.2521173,0.000099215285,0.000014416663,0.00012939615,0.012020583,0.0022962398,0.7318965,1.321724e-7,0.00006555104,0.0010227241],"study_design_scores_gemma":[0.0005230544,0.00025102438,0.074341394,0.0003160129,0.0000048394686,0.00000538274,0.00050267816,0.0072819535,0.9149632,0.0000903466,0.0015617241,0.00015841992],"about_ca_topic_score_codex":0.049212508,"about_ca_topic_score_gemma":0.0029779014,"teacher_disagreement_score":0.18306668,"about_ca_system_score_codex":0.00014651768,"about_ca_system_score_gemma":0.000011410048,"threshold_uncertainty_score":0.99762636},"labels":[],"label_agreement":null},{"id":"W3206987461","doi":"10.1029/2021wr030021","title":"Characteristics of Dissolved Organic Carbon in Boreal Lakes: High Spatial and Inter‐Annual Variability Controlled by Landscape Attributes and Wet‐Dry Periods","year":2021,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","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":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Syncrude; Government of Alberta; Canadian Natural Resources Limited","keywords":"Boreal; Environmental science; Spatial variability; Precipitation; Dissolved organic carbon; Total organic carbon; Aromaticity; Hydrology (agriculture); Carbon cycle; Physical geography; Ecosystem; Environmental chemistry; Geology; Ecology; Oceanography; Chemistry","score_opus":0.009924763973652816,"score_gpt":0.22538757960763087,"score_spread":0.21546281563397804,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3206987461","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99722886,0.00028181588,0.0000063334182,0.0003213813,0.00005400993,0.00024023377,0.00045062718,0.00001033507,0.0014063803],"genre_scores_gemma":[0.9987348,0.00011905393,0.0000084488265,0.000010894349,0.00008956633,0.0000052820733,0.00044360297,0.000005550427,0.00058280776],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99771,0.00070736447,0.0003919522,0.0003696592,0.000382949,0.00043810732],"domain_scores_gemma":[0.9990357,0.00040212917,0.000046070123,0.00021459674,0.00015293107,0.00014858246],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016002393,0.00013777115,0.00047748102,0.00011021827,0.00009312312,0.00013182865,0.00015492429,0.000103715225,0.00084169244],"category_scores_gemma":[0.00026881264,0.000092890485,0.000030270252,0.00017677003,0.00017445802,0.00007416557,0.000165876,0.0003052815,0.0000042663564],"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":[0.0005755596,0.00004531547,0.9888188,0.00014483929,0.0000279702,0.00004116349,0.0020172833,7.7618137e-7,0.0013361468,0.0000020900395,0.00003455366,0.006955467],"study_design_scores_gemma":[0.0026506034,0.00044717942,0.97839105,0.00006252702,0.000016007973,0.000014036119,0.0015136077,0.010377038,0.0019188641,0.00011695774,0.0042828326,0.0002092728],"about_ca_topic_score_codex":0.023013553,"about_ca_topic_score_gemma":0.023631662,"teacher_disagreement_score":0.010427762,"about_ca_system_score_codex":0.00000597718,"about_ca_system_score_gemma":0.000040722003,"threshold_uncertainty_score":0.9941845},"labels":[],"label_agreement":null},{"id":"W3207485038","doi":"10.1029/2021wr030661","title":"Advancing Process Representation in Hydrological Models: Integrating New Concepts, Knowledge, and Data","year":2021,"lang":"en","type":"article","venue":"Water Resources Research","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":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"Deutsche Forschungsgemeinschaft","keywords":"Representation (politics); Computer science; Streamflow; Process (computing); Scientific modelling; Inference; Hydrological modelling; Data science; Fidelity; Management science; Artificial intelligence; Geography; Geology; Cartography; Engineering","score_opus":0.09978060503949744,"score_gpt":0.4035730248306357,"score_spread":0.30379241979113825,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3207485038","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9672537,0.0005160826,0.00023644204,0.002681814,0.000022374561,0.00019811197,0.0000014629506,0.000026359216,0.029063657],"genre_scores_gemma":[0.9957806,0.00017656077,0.0004295324,0.00009105377,0.000045373938,0.000022398634,0.000035838893,0.0000090728,0.003409564],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99777967,0.00043485308,0.00020431018,0.0007163219,0.00032137867,0.00054344523],"domain_scores_gemma":[0.99931294,0.00014009212,0.000017297962,0.00041765836,0.000017889186,0.00009410841],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014536266,0.000105357634,0.00016188677,0.00007871074,0.00026983485,0.000067229426,0.00044008894,0.00007003142,0.0004155204],"category_scores_gemma":[0.00023721682,0.000072353774,0.000012725486,0.00032967934,0.0003737222,0.00046251784,0.0029029932,0.00038102595,0.00011528155],"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":[0.00036528445,0.0005420643,0.69295144,0.00020627337,0.000103177,0.0007267995,0.17043945,0.03836261,0.014084922,0.00031573977,0.019468328,0.062433932],"study_design_scores_gemma":[0.0038709957,0.0004862069,0.03701024,0.00029181645,0.000046717672,0.00007705868,0.02937263,0.5765051,0.025577549,0.10701291,0.21860257,0.0011461657],"about_ca_topic_score_codex":0.00066963537,"about_ca_topic_score_gemma":0.0017207618,"teacher_disagreement_score":0.6559412,"about_ca_system_score_codex":0.00005261746,"about_ca_system_score_gemma":0.0000086756745,"threshold_uncertainty_score":0.45496568},"labels":[],"label_agreement":null},{"id":"W3207883919","doi":"10.1029/2021wr030332","title":"Sources of Surface Water in Space and Time: Identification of Delivery Processes and Geographical Sources With Hydraulic Mixing‐Cell Modeling","year":2021,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":11,"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; Geological Survey of Canada","funders":"Fonds National de la Recherche Luxembourg","keywords":"Riparian zone; Surface runoff; Surface water; Environmental science; Subsurface flow; Hydrology (agriculture); Biogeochemical cycle; Groundwater; Soil science; Geology; Ecology; Habitat; Environmental engineering; Geotechnical engineering","score_opus":0.016568126209026014,"score_gpt":0.24324115054334564,"score_spread":0.22667302433431963,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3207883919","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99731034,0.0007106802,0.000037486574,0.00081733556,0.000003969325,0.00018880793,0.0000019576237,0.000010697247,0.0009187178],"genre_scores_gemma":[0.998218,0.0003501535,0.00011931689,0.000013571487,0.0000064719925,0.000011086765,0.0000062180047,0.000012616428,0.0012625549],"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99813175,0.00024610257,0.00027889857,0.00044438362,0.0004697969,0.0004290379],"domain_scores_gemma":[0.9995549,0.000088948866,0.00003722863,0.00019670611,0.00006383484,0.000058425383],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011134038,0.00012923974,0.00023354171,0.00015323814,0.0001994153,0.000052325937,0.00017860223,0.00007578923,0.00008191834],"category_scores_gemma":[0.000026522623,0.000078985795,0.000019447802,0.0003036574,0.00092030806,0.00018361669,0.00075027416,0.00019462229,0.000019623638],"study_design_candidate":"bench_or_experimental","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":[0.00029370518,0.00022333587,0.6575886,0.0007181807,0.00006620248,0.000042676278,0.030004092,0.050233033,0.26061895,0.000007714007,0.00003572659,0.00016781573],"study_design_scores_gemma":[0.0009317286,0.00026298926,0.013668995,0.0001228264,0.000043517073,0.000014257693,0.004295252,0.019118281,0.9586865,0.0010738818,0.0014846361,0.00029715654],"about_ca_topic_score_codex":0.0008185857,"about_ca_topic_score_gemma":0.00013784414,"teacher_disagreement_score":0.69806755,"about_ca_system_score_codex":0.000012998719,"about_ca_system_score_gemma":0.0000044690323,"threshold_uncertainty_score":0.33909136},"labels":[],"label_agreement":null},{"id":"W3208487629","doi":"10.1029/2021wr029978","title":"Analytical Solution and Numerical Simulation of Steady Flow Around a Circular Heterogeneity With Anisotropic and Concentrically Varying Permeability","year":2021,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Geotechnical Engineering and Underground Structures","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal; Université du Québec en Abitibi-Témiscamingue; Natural Sciences and Engineering Research Council of Canada","funders":"Fonds de recherche du Québec – Nature et technologies","keywords":"Permeability (electromagnetism); Anisotropy; Mechanics; Computer simulation; Flow (mathematics); Geology; Geotechnical engineering; Physics; Chemistry","score_opus":0.02824888370724347,"score_gpt":0.27893229737620795,"score_spread":0.25068341366896446,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3208487629","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94671905,0.00046495238,0.052474134,0.000062602645,0.000013409319,0.00010483051,0.000003939082,0.00006397845,0.000093079725],"genre_scores_gemma":[0.99919724,0.000023202578,0.00069817185,0.0000040873183,0.00003285401,0.0000052848777,0.00000859616,0.000016787564,0.000013748385],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986191,0.00013104358,0.00019472724,0.00027803794,0.00040805526,0.00036902752],"domain_scores_gemma":[0.99934804,0.0001596103,0.000008748589,0.00021625836,0.00012854829,0.000138762],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026187825,0.00012044971,0.00022320182,0.00008188746,0.00011115488,0.000085960186,0.00007239946,0.00010785914,0.000015067884],"category_scores_gemma":[0.00008825916,0.00008788802,0.00003122185,0.00020490967,0.00018745393,0.000069140886,0.00009869044,0.0003349602,9.973046e-7],"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":[0.00006149613,0.000029088265,0.0057786712,0.0003012916,0.000069415895,0.00003056504,0.00047318818,0.9749211,0.01626649,0.000045889214,0.0000020862983,0.0020207388],"study_design_scores_gemma":[0.00035506315,0.0000984565,0.014195407,0.000025485566,0.000014943394,0.000030483408,0.000052532258,0.9805355,0.0037167636,0.00019570133,0.00066565233,0.00011399001],"about_ca_topic_score_codex":0.000032319713,"about_ca_topic_score_gemma":0.0000032414193,"teacher_disagreement_score":0.052478194,"about_ca_system_score_codex":0.000064177875,"about_ca_system_score_gemma":0.00001200126,"threshold_uncertainty_score":0.35839695},"labels":[],"label_agreement":null},{"id":"W3209546200","doi":"10.1029/2021wr030851","title":"Spatiotemporal Patterns of Fractional Suspended Sediment Dynamics in Small Watersheds","year":2021,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Soil erosion and sediment transport","field":"Agricultural and Biological Sciences","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 British Columbia","funders":"","keywords":"Sediment; Hydrology (agriculture); Riparian zone; Channel (broadcasting); Erosion; Environmental science; Fluvial; Streamflow; Stream power; Bank erosion; Watershed; Sediment transport; Geology; Soil science; Geomorphology; Ecology; Geography; Geotechnical engineering; Drainage basin","score_opus":0.06887123328461191,"score_gpt":0.2890945968479784,"score_spread":0.22022336356336647,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3209546200","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99514914,0.000026903233,0.0000027591443,0.0029654454,0.000060039383,0.00012896038,0.00003172799,0.000016266968,0.0016187377],"genre_scores_gemma":[0.9971533,0.000028089895,0.000021393753,0.00006271832,0.00007837918,0.000014775078,0.0004963261,0.0000014606356,0.0021435688],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99817836,0.0002459452,0.0002808583,0.00029900443,0.000576124,0.00041970014],"domain_scores_gemma":[0.9995329,0.00010838842,0.000022606977,0.000080447215,0.00015790941,0.00009775021],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00072817877,0.00009640224,0.00016251406,0.000051187155,0.00010166791,0.00004751307,0.00022758683,0.00010037236,0.0031098076],"category_scores_gemma":[0.000013270493,0.000035456265,0.00007398882,0.00025346896,0.00006061228,0.000054389817,0.000119387885,0.00028669968,0.000038747232],"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":[0.00013527779,0.00038601313,0.8561019,0.00003093144,0.000015599742,0.000109838686,0.0010648232,0.000023479322,0.13465916,0.00020022535,0.00006234681,0.007210462],"study_design_scores_gemma":[0.0006193363,0.00028677675,0.6594223,0.00008015645,0.0000044156786,0.0000086176005,0.004443363,0.0008203278,0.3088191,0.0006722475,0.024601305,0.00022209914],"about_ca_topic_score_codex":0.0035025056,"about_ca_topic_score_gemma":0.013855842,"teacher_disagreement_score":0.19667958,"about_ca_system_score_codex":0.000093722636,"about_ca_system_score_gemma":0.000010250796,"threshold_uncertainty_score":0.9978015},"labels":[],"label_agreement":null},{"id":"W3209874897","doi":"10.1029/2022wr032332","title":"A Dynamic Pore Network Model for Imbibition Simulation Considering Corner Film Flow","year":2022,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Material Properties and Processing","field":"Engineering","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 de Sherbrooke","funders":"Los Alamos National Laboratory; Laboratory Directed Research and Development; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; National Science Foundation","keywords":"Imbibition; Wetting; Capillary pressure; Capillary action; Materials science; Mechanics; Porous medium; Flow (mathematics); Porosity; Capillary number; Composite material; Geotechnical engineering; Geology; Physics","score_opus":0.06405204479344094,"score_gpt":0.30013530344406675,"score_spread":0.2360832586506258,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3209874897","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96666324,0.0005105218,0.029915135,0.00023141767,0.00025251776,0.00070019765,0.00006448748,0.00030177966,0.0013607105],"genre_scores_gemma":[0.9965756,0.0000065094355,0.0012927263,0.000034712306,0.00012450574,0.00023406032,0.000150058,0.000060646988,0.0015211606],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985796,0.000086112166,0.00020270224,0.00020781427,0.0003470454,0.0005767013],"domain_scores_gemma":[0.9996324,0.000054683333,0.000012304508,0.00016880127,0.00007323426,0.000058579248],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00082097104,0.000109173394,0.00013054429,0.000117977506,0.0007357019,0.00017586937,0.0001591864,0.00004752175,0.0003703623],"category_scores_gemma":[0.000016862208,0.00008965546,0.00004325204,0.0001326967,0.000038909177,0.00010249604,0.000204648,0.0002717137,0.000010919899],"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":[0.000117014424,0.0000061966284,0.000007763981,0.00019237061,0.000011660855,0.000003980024,0.003047035,0.98663634,0.0063705314,0.0000044171597,0.0009246712,0.0026780267],"study_design_scores_gemma":[0.00023136265,0.000050383118,0.0000032406442,0.000023770806,0.000003508541,0.0000037519744,0.0001959873,0.9575068,0.0007931506,0.0016317971,0.03942462,0.00013163197],"about_ca_topic_score_codex":0.000015147598,"about_ca_topic_score_gemma":0.0000099133595,"teacher_disagreement_score":0.03849995,"about_ca_system_score_codex":0.00012209035,"about_ca_system_score_gemma":0.000010488616,"threshold_uncertainty_score":0.56584984},"labels":[],"label_agreement":null},{"id":"W3210782507","doi":"10.1029/2021wr029610","title":"Accelerating Groundwater Data Assimilation With a Gradient‐Free Active Subspace Method","year":2021,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Groundwater flow and contamination studies","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"National Natural Science Foundation of China","keywords":"Data assimilation; Computer science; Subspace topology; Sensitivity (control systems); Mathematical optimization; Kalman filter; Ensemble Kalman filter; Kriging; Surrogate model; Algorithm; Gaussian; Data mining; Machine learning; Artificial intelligence; Mathematics; Extended Kalman filter","score_opus":0.12405752786374681,"score_gpt":0.3573371577930902,"score_spread":0.23327962992934342,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3210782507","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97137594,0.00004555669,0.011061327,0.0032966468,0.000047013506,0.00028926576,0.000018634419,0.00005545849,0.013810127],"genre_scores_gemma":[0.95912606,0.000011289679,0.007606634,0.00012807103,0.00010722023,0.000078567406,0.00018718872,0.00003519885,0.03271977],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9961827,0.00074257166,0.0002110276,0.00084602844,0.0012841403,0.00073357305],"domain_scores_gemma":[0.99832374,0.00018155693,0.000035254656,0.0012173293,0.000117232994,0.00012489397],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0015628956,0.00018107404,0.00020118343,0.0000978318,0.00079938857,0.00041814835,0.0009234023,0.000068145295,0.001654424],"category_scores_gemma":[0.00009863811,0.00011235936,0.000032098436,0.00047662013,0.0002664042,0.00078050565,0.0034179692,0.00039265284,0.0003826578],"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":[0.0010524899,0.0011631659,0.21455054,0.00016541043,0.00069756777,0.0011567973,0.17140296,0.0013559369,0.21319999,0.00026153616,0.028224552,0.36676905],"study_design_scores_gemma":[0.0019382177,0.0003314297,0.10272878,0.000060440205,0.00004885579,0.00010686754,0.011484594,0.00724344,0.18932886,0.00060230016,0.6854735,0.0006527013],"about_ca_topic_score_codex":0.0010375683,"about_ca_topic_score_gemma":0.0028991573,"teacher_disagreement_score":0.657249,"about_ca_system_score_codex":0.00019515891,"about_ca_system_score_gemma":0.000012751519,"threshold_uncertainty_score":0.9992582},"labels":[],"label_agreement":null},{"id":"W3213431266","doi":"10.1029/2021wr031366","title":"Mapping and Monitoring of DNAPL Source Zones With Combined Direct Current Resistivity and Induced Polarization: A Field‐Scale Numerical Investigation","year":2021,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Geophysical and Geoelectrical Methods","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":"Western University","funders":"","keywords":"Soil science; Environmental remediation; Induced polarization; Environmental science; Soil water; Electrical resistivity and conductivity; Geology; Contamination; Physics","score_opus":0.050552683585695916,"score_gpt":0.29360487337026264,"score_spread":0.24305218978456672,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3213431266","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9979446,0.0005049538,0.00062125985,0.00064056827,0.000028849787,0.000104544764,0.0000029425162,0.00001582853,0.00013645385],"genre_scores_gemma":[0.9980872,0.000029262028,0.0013608526,0.000011859468,0.000085806154,0.0000025574036,0.000012453395,0.0000033398655,0.0004066689],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9982995,0.0005044061,0.000150845,0.00030198836,0.0004329726,0.0003103114],"domain_scores_gemma":[0.9989907,0.00057853735,0.000027871796,0.00012830384,0.00012903902,0.00014552692],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00057085266,0.000093221206,0.00019473932,0.00010903355,0.00024879695,0.00008785949,0.00008596528,0.00005551515,0.000040865572],"category_scores_gemma":[0.000218007,0.00005974962,0.000018702021,0.000562877,0.00013287146,0.000089322784,0.00006659382,0.00031837853,0.0000043345462],"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":[0.000105933155,0.000025526902,0.6866268,0.00010569415,0.0000129362725,0.0000058082655,0.0021962482,0.000021807315,0.008201262,0.000004588574,0.000004782356,0.30268863],"study_design_scores_gemma":[0.00024580615,0.00042316574,0.9356495,0.0000943383,0.0000059207955,0.000005104998,0.00026071118,0.001932017,0.058908857,0.00062927377,0.0017326312,0.000112636655],"about_ca_topic_score_codex":0.0012695219,"about_ca_topic_score_gemma":0.000056319124,"teacher_disagreement_score":0.302576,"about_ca_system_score_codex":0.0000029210314,"about_ca_system_score_gemma":0.00001983372,"threshold_uncertainty_score":0.24365188},"labels":[],"label_agreement":null},{"id":"W3215043066","doi":"10.1029/2021wr030282","title":"Optimization of Real‐Time Control With Green and Gray Infrastructure Design for a Cost‐Effective Mitigation of Combined Sewer Overflows","year":2021,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Urban Stormwater Management Solutions","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":true,"ca_institutions":"Tetra Tech (Canada); Université Laval; Institut National de la Recherche Scientifique","funders":"Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada; Natural Sciences and Engineering Research Council of Canada; Government of Canada","keywords":"Combined sewer; Environmental science; Robustness (evolution); Computer science; Green infrastructure; Gray (unit); Environmental resource management","score_opus":0.013103975980438758,"score_gpt":0.24959615426042958,"score_spread":0.23649217827999083,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3215043066","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9527382,0.000014712656,0.043232575,0.00025729366,0.000010261327,0.0027024352,0.00004080933,0.00001786784,0.0009858294],"genre_scores_gemma":[0.9906746,0.000008573364,0.007624899,0.000014687178,0.0000130568005,0.0002796751,0.000051249826,0.000019142495,0.0013140822],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983772,0.00037896758,0.0001858194,0.00028184906,0.00048424565,0.00029188648],"domain_scores_gemma":[0.9993227,0.00020144114,0.000058519432,0.00022945246,0.000121357974,0.00006651897],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00068329874,0.00010221427,0.00018945134,0.0000998918,0.00014100458,0.000029646246,0.00013952893,0.000060506412,0.0003361706],"category_scores_gemma":[0.000048210793,0.00007121121,0.000030006098,0.0002666802,0.0004122931,0.0001618974,0.00017461991,0.00009772553,0.0000071943396],"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":[0.0023949211,0.00027078114,0.096261114,0.00030400933,0.000321537,0.00001425076,0.013376475,0.495247,0.38594493,0.000083552426,0.002996369,0.0027850368],"study_design_scores_gemma":[0.012129654,0.003856746,0.19614659,0.00022703034,0.00024130719,0.0000145437125,0.0008136255,0.45413634,0.31841874,0.0033791088,0.009973951,0.0006623494],"about_ca_topic_score_codex":0.0003586088,"about_ca_topic_score_gemma":0.000039146023,"teacher_disagreement_score":0.099885486,"about_ca_system_score_codex":0.00010231723,"about_ca_system_score_gemma":0.000008765147,"threshold_uncertainty_score":0.36808324},"labels":[],"label_agreement":null},{"id":"W4200054509","doi":"10.1029/2021wr031094","title":"Hydroclimate Variability Affects Habitat‐Specific (Open Water and Littoral) Lake Metabolism","year":2021,"lang":"en","type":"article","venue":"Water Resources Research","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":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Littoral zone; Environmental science; Habitat; Biomass (ecology); Ecosystem; Climate change; Lake ecosystem; Productivity; Ecology; Hydrology (agriculture); Context (archaeology); Primary production; Atmospheric sciences; Geography; Geology; Biology","score_opus":0.03586648800778175,"score_gpt":0.29552794904791685,"score_spread":0.2596614610401351,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4200054509","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9404093,0.00015962904,0.000016981867,0.0061334935,0.00009064888,0.00047871566,0.0000071418795,0.000046204812,0.05265791],"genre_scores_gemma":[0.9865926,0.00019877117,0.00028533724,0.0002848108,0.00007431687,0.00012052346,0.000046018773,0.000025773745,0.012371833],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99588144,0.001223291,0.0002250152,0.00091089896,0.0006072429,0.0011521076],"domain_scores_gemma":[0.9989736,0.00014701932,0.000017194312,0.000645524,0.00003021734,0.00018641484],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0039740913,0.00021625745,0.0003305941,0.00008672027,0.00094007514,0.00033416596,0.00062422303,0.000112576534,0.0042568003],"category_scores_gemma":[0.000056927875,0.00012792306,0.000055721244,0.00021673951,0.00094804354,0.00038552133,0.006787784,0.0004230464,0.0020454195],"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":[0.0009423521,0.0012403803,0.6188002,0.00043767056,0.0005670248,0.0015946201,0.061685663,0.0006202892,0.25639996,0.0015185786,0.047268502,0.008924759],"study_design_scores_gemma":[0.0005622406,0.000064509535,0.027781816,0.000010687485,0.000015761316,0.000010894757,0.00021318554,0.00008431387,0.05698469,0.00556864,0.90846956,0.00023367735],"about_ca_topic_score_codex":0.00018130812,"about_ca_topic_score_gemma":0.000664516,"teacher_disagreement_score":0.8612011,"about_ca_system_score_codex":0.000055986584,"about_ca_system_score_gemma":0.0000029616056,"threshold_uncertainty_score":0.9987316},"labels":[],"label_agreement":null},{"id":"W4200065697","doi":"10.1029/2021wr030702","title":"Reactive Transport Modeling of Natural Gas Molecular and Isotopic Evolution During Diffusive Transport in the Subsurface","year":2021,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Methane Hydrates and Related Phenomena","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":false,"ca_institutions":"University of Ottawa; University of New Brunswick","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Fractionation; Equilibrium fractionation; Methane; Hydrocarbon; Isotope fractionation; Diffusion; Molecular diffusion; Chemistry; Solubility; Mass-independent fractionation; Propane; Environmental chemistry; Analytical Chemistry (journal); Chromatography; Thermodynamics; Organic chemistry","score_opus":0.015807107361784253,"score_gpt":0.2539295808553466,"score_spread":0.23812247349356236,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4200065697","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9955967,0.00062431215,0.000033686847,0.00036701816,0.000015498426,0.00024409572,0.000002425097,0.0000058875944,0.0031103517],"genre_scores_gemma":[0.99934524,0.00006966382,0.00004541784,0.000011437935,0.000010122926,0.00001496434,0.0000100808875,0.000011253097,0.00048178958],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99808025,0.0003151312,0.00022212807,0.0003319306,0.0006414388,0.00040909066],"domain_scores_gemma":[0.99962723,0.000036419668,0.000019600579,0.00023475119,0.00002691271,0.000055086686],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00077131693,0.00010421159,0.00015218495,0.00006955249,0.00013791551,0.0000137793295,0.00021408442,0.00007550332,0.00015574283],"category_scores_gemma":[0.000010591571,0.00006233604,0.000048441303,0.0003477913,0.0002098087,0.00009606058,0.00007717654,0.0005361338,0.000010639496],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013411553,0.000108891254,0.058016032,0.00006921479,0.000025612442,0.00031882344,0.04175699,0.040586174,0.8588364,0.00003999061,8.672277e-7,0.00010687255],"study_design_scores_gemma":[0.0028728733,0.00022798381,0.2936709,0.00026495795,0.000061013685,0.00015005858,0.018925546,0.06773826,0.6090536,0.0053705005,0.0009922627,0.0006720026],"about_ca_topic_score_codex":0.0017099789,"about_ca_topic_score_gemma":0.00024931796,"teacher_disagreement_score":0.24978279,"about_ca_system_score_codex":0.000080369595,"about_ca_system_score_gemma":0.000007462409,"threshold_uncertainty_score":0.25849882},"labels":[],"label_agreement":null},{"id":"W4200231235","doi":"10.1029/2020wr029358","title":"Effect of Upstream Dam Geometry on Peak Discharge During Overtopping Breach in Noncohesive Homogeneous Embankment Dams; Implications for Tailings Dams","year":2021,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Dam Engineering and Safety","field":"Engineering","cited_by":23,"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 British Columbia; Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Tailings; Levee; Geotechnical engineering; Homogeneous; Geology; Upstream (networking); Tailings dam; Embankment dam; Environmental science; Hydrology (agriculture); Engineering; Materials science; Physics","score_opus":0.016012760061360234,"score_gpt":0.30716987297998116,"score_spread":0.29115711291862095,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4200231235","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99730396,0.00036117376,0.00018271364,0.00016558706,0.00007706039,0.0005263262,0.00007499276,0.00010970148,0.0011984771],"genre_scores_gemma":[0.99842227,0.00007355738,0.00010222507,0.000004266192,0.000117159034,0.00028409294,0.0001088489,0.00007787084,0.0008097157],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99787897,0.00013972285,0.00037183161,0.00041378758,0.000381673,0.0008139907],"domain_scores_gemma":[0.99866605,0.00046498474,0.000019744992,0.00061086804,0.00010583828,0.00013251351],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008221366,0.00023083565,0.0003692253,0.00048763488,0.00015553042,0.000070310096,0.00034644597,0.0001228476,0.000029497178],"category_scores_gemma":[0.00015256405,0.00018649874,0.00013885602,0.0004842057,0.000052119332,0.00006925564,0.00018401771,0.00045436397,0.000024908679],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023004496,0.00018468079,0.006552813,0.0023863239,0.00017944223,0.000053025207,0.0037401908,0.1355213,0.8426716,0.00009349141,0.00016619876,0.008220898],"study_design_scores_gemma":[0.0013228154,0.00035604558,0.011775742,0.00038993236,0.000017605873,0.000031499912,0.00019235876,0.0074241324,0.9714761,0.000060134877,0.0066135456,0.0003400858],"about_ca_topic_score_codex":0.00006423911,"about_ca_topic_score_gemma":0.000019922982,"teacher_disagreement_score":0.1288045,"about_ca_system_score_codex":0.00024330206,"about_ca_system_score_gemma":0.0000145911645,"threshold_uncertainty_score":0.7605198},"labels":[],"label_agreement":null},{"id":"W4206766018","doi":"10.1029/2021wr031352","title":"Evaluating Distributed Policies for Conjunctive Surface Water‐Groundwater Management in Large River Basins: Water Uses Versus Hydrological Impacts","year":2022,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Water resources management and optimization","field":"Engineering","cited_by":41,"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; University of Toronto","funders":"National Natural Science Foundation of China","keywords":"Groundwater; Conjunctive use; Environmental science; Surface water; Water resource management; Water table; Hydrology (agriculture); Water resources; Water supply; Water use; Aquifer; Environmental engineering; Geology","score_opus":0.09152743677683306,"score_gpt":0.348750828350517,"score_spread":0.25722339157368396,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4206766018","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99482125,0.000087034234,0.0006537579,0.0005677674,0.00024122324,0.0017651459,0.00011844156,0.00026437297,0.0014810172],"genre_scores_gemma":[0.9956123,0.000029938396,0.00037170248,0.000057983078,0.00011098223,0.0005880771,0.001278151,0.000099079014,0.0018517548],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99487644,0.00064235635,0.0005109546,0.0006263912,0.0011535248,0.002190358],"domain_scores_gemma":[0.9991219,0.00013231288,0.000022299439,0.00046222928,0.000113906615,0.00014734021],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0031116665,0.00037425503,0.0003761378,0.0006286253,0.00086472457,0.00036272386,0.0007118203,0.00010924735,0.0008242781],"category_scores_gemma":[0.000024832767,0.00022983503,0.00013342126,0.0003473999,0.00016502134,0.00030266738,0.0016307759,0.00059880107,0.00015882916],"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":[0.0023919137,0.00033076663,0.0020670134,0.00035060768,0.00041324194,0.00011348592,0.036314357,0.9442201,0.0118553685,0.00007220018,0.0013456291,0.00052527856],"study_design_scores_gemma":[0.012336038,0.002153369,0.0030355891,0.00005887916,0.000120902805,0.0000074572927,0.0072614853,0.4797782,0.066914655,0.0011110131,0.42593718,0.0012852281],"about_ca_topic_score_codex":0.00020727383,"about_ca_topic_score_gemma":0.000067976485,"teacher_disagreement_score":0.46444193,"about_ca_system_score_codex":0.0006187052,"about_ca_system_score_gemma":0.0000038949165,"threshold_uncertainty_score":0.93724006},"labels":[],"label_agreement":null},{"id":"W4210710678","doi":"10.1029/2021wr031082","title":"Hydrogeochemical Response of a Variably Saturated Sulfide‐Bearing Mine Waste‐Rock Pile to Precipitation: A Field‐Scale Study in the Discontinuous Permafrost Region of Northern Canada","year":2021,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Climate change and permafrost","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 Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; Crown-Indigenous Relations and Northern Affairs Canada","keywords":"Permafrost; Groundwater recharge; Infiltration (HVAC); Groundwater; Geology; Environmental science; Drainage; Hydrology (agriculture); Pore water pressure; Water table; Water balance; Aquifer; Geotechnical engineering","score_opus":0.04398001433277446,"score_gpt":0.2808538582003474,"score_spread":0.23687384386757296,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4210710678","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99671483,0.00015902461,7.022149e-7,0.0018329327,0.00004459144,0.00043617436,0.00044265276,0.0000038596527,0.0003652128],"genre_scores_gemma":[0.9986901,0.000007686443,0.000007000842,0.00007276117,0.00007284931,0.000011075648,0.0005475069,0.0000057714437,0.0005852023],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9969401,0.0010622066,0.00038365065,0.00032350625,0.00082356815,0.00046700647],"domain_scores_gemma":[0.9981376,0.00105321,0.000043559154,0.00041291025,0.00024688672,0.000105866355],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014209092,0.000121280544,0.00025465727,0.0001484094,0.0001301753,0.00006961681,0.00043412368,0.0000623704,0.00065260474],"category_scores_gemma":[0.00031756068,0.00007558097,0.000041202606,0.0007038729,0.00004906591,0.00006791107,0.00010778066,0.0003134276,0.000011886654],"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":[0.0016649688,0.00011572791,0.9024538,0.000049437385,0.000016456373,0.00031370975,0.053555623,0.0005961782,0.040295094,1.2337814e-7,0.00071863184,0.0002202747],"study_design_scores_gemma":[0.0013287864,0.0014600406,0.78375924,0.00022586771,0.000021448583,0.00010340364,0.0964779,0.0017597836,0.10896189,0.000030895986,0.0055465894,0.00032412924],"about_ca_topic_score_codex":0.5902189,"about_ca_topic_score_gemma":0.964929,"teacher_disagreement_score":0.3747101,"about_ca_system_score_codex":0.00002033823,"about_ca_system_score_gemma":0.0001405688,"threshold_uncertainty_score":0.7145564},"labels":[],"label_agreement":null},{"id":"W4210853741","doi":"10.1029/2021wr030933","title":"A Coupled Thermal‐Hydraulic‐Mechanical Approach to Modeling the Impact of Roadbed Frost Loading on Water Main Failure","year":2022,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":29,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Frost (temperature); Geotechnical engineering; Soil water; Frost heaving; Breakage; Frost weathering; Geology; Pore water pressure; Environmental science; Stress (linguistics); Soil science; Materials science; Composite material; Geomorphology","score_opus":0.09650822146318584,"score_gpt":0.3132774679573222,"score_spread":0.21676924649413637,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4210853741","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99385333,0.00006887435,0.000021516957,0.0014042356,0.000048269823,0.00063291664,0.00079534773,0.000023745753,0.003151774],"genre_scores_gemma":[0.99775684,0.00000715537,0.000022424523,0.00020399451,0.00020512758,0.000039529164,0.0012575748,0.000019067458,0.00048828777],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9959579,0.00076157524,0.00032396876,0.0004933737,0.0013020707,0.0011611157],"domain_scores_gemma":[0.9989308,0.0001782226,0.00002568018,0.00054930564,0.0000727846,0.00024320335],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0031853719,0.00021754862,0.00029200915,0.00032562832,0.0010722292,0.00020680697,0.0010230069,0.00007768756,0.013810397],"category_scores_gemma":[0.000027522443,0.00009868998,0.00018896135,0.00040187844,0.00009910687,0.00008786445,0.00037152824,0.0008650446,0.00043056454],"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":[0.0015761906,0.00017233292,0.011308427,0.000042802003,0.000095359785,0.000045205965,0.05389958,0.7773216,0.15261893,0.000008225011,0.0021226164,0.0007887376],"study_design_scores_gemma":[0.0006842687,0.0012225348,0.0023950182,0.000026606569,0.000011033017,0.000042517102,0.008422921,0.97036445,0.007307537,0.00022282179,0.008945015,0.00035525014],"about_ca_topic_score_codex":0.023762263,"about_ca_topic_score_gemma":0.0011125297,"teacher_disagreement_score":0.19304289,"about_ca_system_score_codex":0.000047158872,"about_ca_system_score_gemma":0.000023800727,"threshold_uncertainty_score":0.9870911},"labels":[],"label_agreement":null},{"id":"W4213066061","doi":"10.1029/2021wr030035","title":"Development of a Stepwise‐Clustered Multi‐Catchment Hydrological Model for Quantifying Interactions in Regional Climate‐Runoff Relationships","year":2022,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Watershed Management Studies","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 Regina","funders":"","keywords":"Environmental science; Watershed; Surface runoff; Drainage basin; Hydrology (agriculture); Precipitation; Computer science; Meteorology; Geography; Geology; Ecology","score_opus":0.3306176823102679,"score_gpt":0.3914048336597343,"score_spread":0.060787151349466384,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4213066061","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99543977,0.000023889339,0.0014102791,0.0015977441,0.00003377633,0.0007025115,0.0000087852195,0.000021621305,0.0007616436],"genre_scores_gemma":[0.990255,0.000009630391,0.0071687903,0.00006965993,0.000008451546,0.00093681243,0.00004165837,0.00001266372,0.001497338],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9975086,0.00045315496,0.000426377,0.0004268143,0.00055467465,0.0006303813],"domain_scores_gemma":[0.9994791,0.0001844647,0.00005239852,0.00021130462,0.0000151149825,0.000057617235],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0032358095,0.0001188174,0.00018147152,0.00026161823,0.0014289878,0.000017340491,0.00038739727,0.000037616173,0.0003672492],"category_scores_gemma":[0.000038699975,0.00009202506,0.000057526046,0.00022800239,0.00025329,0.000105761515,0.0019338108,0.0005066266,0.00007144578],"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":[0.00177733,0.0012736763,0.19944292,0.00011477169,0.00010214125,0.000018718865,0.1291039,0.65260404,0.012115999,0.00018906707,0.0016639271,0.0015935043],"study_design_scores_gemma":[0.0016363283,0.00014667136,0.030471053,0.000023836528,0.00001252643,0.000004299356,0.0071903346,0.87753314,0.001086024,0.00080370967,0.08081298,0.00027911057],"about_ca_topic_score_codex":0.000097203956,"about_ca_topic_score_gemma":0.0008073278,"teacher_disagreement_score":0.22492908,"about_ca_system_score_codex":0.00032533673,"about_ca_system_score_gemma":0.000008219801,"threshold_uncertainty_score":0.999871},"labels":[],"label_agreement":null},{"id":"W4214629779","doi":"10.1029/2021wr029599","title":"Water Footprint Analysis Under Dual Pressures of Carbon Mitigation and Trade Barrier: A CGE‐Based Study for Yangtze River Economic Belt","year":2022,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Environmental Impact and Sustainability","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":false,"ca_institutions":"University of Regina","funders":"Mitacs","keywords":"Computable general equilibrium; Carbon tax; Natural resource economics; Virtual water; Water use; Dual (grammatical number); Environmental science; Greenhouse gas; Water resources; Economics; Water scarcity; Macroeconomics","score_opus":0.024724271865328624,"score_gpt":0.3016472450985862,"score_spread":0.2769229732332576,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4214629779","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99806505,0.000023125693,0.00001295727,0.0004920529,0.000013741844,0.001079304,0.00004066529,0.000011883793,0.00026122096],"genre_scores_gemma":[0.99893594,0.0000010774924,0.00003611126,0.000025369725,0.000015932015,0.00027792988,0.000050354018,0.000018104365,0.0006391646],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99741966,0.00063086563,0.000276075,0.0004846532,0.00065222033,0.0005365102],"domain_scores_gemma":[0.9993367,0.0001010919,0.000032194057,0.00038204176,0.0000057369557,0.00014222851],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0018523455,0.00013897715,0.00024235935,0.00020434064,0.00044502548,0.0000490276,0.00025696956,0.00004338574,0.0011013707],"category_scores_gemma":[0.000012730561,0.000097277865,0.0001131861,0.00013687708,0.0005125912,0.00006876273,0.00081850257,0.0002192033,0.00000353054],"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":[0.00041183995,0.0004821325,0.85105616,0.00003967162,0.00026010984,0.000007767283,0.031778425,0.06378551,0.051672526,0.0000035021283,0.000023338349,0.00047903188],"study_design_scores_gemma":[0.0016678557,0.0015111191,0.84211445,0.000002053713,0.00023294009,0.0000015669754,0.013931838,0.012194975,0.1201187,0.0009311588,0.006981938,0.00031142702],"about_ca_topic_score_codex":0.0045275344,"about_ca_topic_score_gemma":0.00048247675,"teacher_disagreement_score":0.06844618,"about_ca_system_score_codex":0.00048422266,"about_ca_system_score_gemma":0.000007672919,"threshold_uncertainty_score":0.99981177},"labels":[],"label_agreement":null},{"id":"W4214748644","doi":"10.1029/2021wr031065","title":"A Stepwise Clustered Hydrological Model for Addressing the Temporal Autocorrelation of Daily Streamflows in Irrigated Watersheds","year":2022,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Watershed Management Studies","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":false,"ca_institutions":"McMaster University; University of Regina","funders":"Mitacs; Canada Research Chairs","keywords":"Streamflow; Autocorrelation; Environmental science; Flood forecasting; Hydrology (agriculture); Quantile; Irrigation scheduling; Drainage basin; Statistics; Mathematics; Geography; Soil science; Geology; Soil water; Cartography","score_opus":0.11959147131792236,"score_gpt":0.33376787081732456,"score_spread":0.2141763994994022,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4214748644","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99385655,0.000024185145,0.0002960746,0.0025440075,0.00003229124,0.0011871732,0.00001381115,0.000026343734,0.0020195388],"genre_scores_gemma":[0.9957633,0.000002411626,0.00016250904,0.00011971261,0.00001476776,0.0007160088,0.000042668962,0.000015337218,0.0031632876],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99719375,0.00074022566,0.00034300872,0.0004085876,0.0006527311,0.0006617058],"domain_scores_gemma":[0.999426,0.00014527763,0.000052467563,0.00031458764,0.000014144424,0.00004751587],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0031372786,0.00013330636,0.00020151885,0.00016935293,0.000902084,0.000031704207,0.00061246887,0.000068120324,0.0005352179],"category_scores_gemma":[0.00003631966,0.00007604056,0.00006885769,0.00029403152,0.0005824485,0.000121210374,0.0018342747,0.00047026464,0.00003068622],"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":[0.001180957,0.00026522225,0.11907576,0.000038391467,0.0000487008,0.00002018027,0.041645896,0.8305316,0.004145061,0.00003274936,0.0019247363,0.0010907754],"study_design_scores_gemma":[0.0011331079,0.0003572949,0.007932302,0.000009318429,0.000014100519,0.0000022523627,0.001409841,0.9756201,0.00068197586,0.0035339864,0.009162348,0.00014339724],"about_ca_topic_score_codex":0.0006358352,"about_ca_topic_score_gemma":0.00025348528,"teacher_disagreement_score":0.14508851,"about_ca_system_score_codex":0.00015454118,"about_ca_system_score_gemma":0.0000055400096,"threshold_uncertainty_score":0.69381917},"labels":[],"label_agreement":null},{"id":"W4220674213","doi":"10.1029/2021wr030698","title":"Toward a Closure of Catchment Mass Balance: Insight on the Missing Link From a Vegetated Lysimeter","year":2022,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Global Institute for Water Security; University of Saskatchewan","funders":"","keywords":"Environmental science; Hydrology (agriculture); Advection; Transpiration; Drainage; Vegetation (pathology); Water balance; Drainage basin; Soil water; Soil science; Geology; Ecology; Geography; Geotechnical engineering","score_opus":0.03748667666931496,"score_gpt":0.26430911792374223,"score_spread":0.22682244125442727,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4220674213","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98407286,0.000070587055,0.000026008513,0.0056342324,0.000044471315,0.0002732652,0.000061018673,0.000018236997,0.0097992895],"genre_scores_gemma":[0.9970982,0.000012487767,0.00010169592,0.00017908322,0.00003463105,0.00007281567,0.000071122915,0.000017096489,0.0024128566],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.99702984,0.0006651642,0.0002569395,0.00033552593,0.0012810837,0.00043146522],"domain_scores_gemma":[0.99925,0.00016812624,0.000046217618,0.00044295168,0.000014455615,0.00007826896],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0011397768,0.000119219294,0.0001497037,0.00009874693,0.00046692946,0.00007135505,0.0006265323,0.000049245788,0.0026827878],"category_scores_gemma":[0.00001819687,0.000067487614,0.00007337721,0.00035568493,0.00022382563,0.000048453123,0.000704252,0.0006314661,0.00020915174],"study_design_candidate":"bench_or_experimental","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":[0.00084218266,0.0005237915,0.2164826,0.000047784375,0.0003051834,0.00032044327,0.10136904,0.096761055,0.5720257,0.00017058679,0.0032852895,0.007866314],"study_design_scores_gemma":[0.001503708,0.0008615526,0.02125614,0.000091877584,0.000050322942,0.000019860598,0.0013088218,0.17674984,0.11674624,0.011556685,0.66917795,0.00067699526],"about_ca_topic_score_codex":0.001378796,"about_ca_topic_score_gemma":0.000014073678,"teacher_disagreement_score":0.66589266,"about_ca_system_score_codex":0.00020795052,"about_ca_system_score_gemma":0.000008111403,"threshold_uncertainty_score":0.9982289},"labels":[],"label_agreement":null},{"id":"W4220685980","doi":"10.1029/2021wr031454","title":"Generalizable Permeability Prediction of Digital Porous Media via a Novel Multi‐Scale 3D Convolutional Neural Network","year":2022,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Enhanced Oil Recovery Techniques","field":"Engineering","cited_by":53,"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":"Convolutional neural network; Computer science; Permeability (electromagnetism); Porous medium; Artificial intelligence; Deep learning; Characterization (materials science); Artificial neural network; Reservoir modeling; Machine learning; Porosity; Geology; Petroleum engineering; Geotechnical engineering; Materials science","score_opus":0.03926734745785691,"score_gpt":0.2694914709029727,"score_spread":0.23022412344511578,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4220685980","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9892532,0.0002784759,0.0077802236,0.000036221903,0.000222891,0.00033806582,0.00039776944,0.00037324696,0.001319857],"genre_scores_gemma":[0.9958663,0.000014402096,0.0027803346,0.000007779198,0.00021522795,0.00023529604,0.00023823077,0.0000531637,0.00058925484],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99745655,0.00015121406,0.00036938846,0.00032430186,0.0009925844,0.00070598634],"domain_scores_gemma":[0.9992194,0.00013280514,0.000024608671,0.0003661123,0.00014691576,0.00011013753],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009861885,0.0001558774,0.00022046347,0.00019558713,0.00027922887,0.000060128677,0.0004059874,0.00008385837,0.00040338174],"category_scores_gemma":[0.00004403279,0.00013930436,0.00008191444,0.00036125354,0.00022421638,0.00022158859,0.00048727277,0.0006478615,0.000013174553],"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":[0.00017399395,0.00029457628,0.033263918,0.00016967666,0.000071597686,0.000012347827,0.004351516,0.79667795,0.15835296,0.00001233268,0.003379724,0.0032394223],"study_design_scores_gemma":[0.0008225824,0.0003566135,0.012834238,0.000026083071,0.000010500098,0.00005921277,0.00026148921,0.9107646,0.032065358,0.0007002638,0.04176403,0.000335084],"about_ca_topic_score_codex":0.00015535274,"about_ca_topic_score_gemma":0.000034266497,"teacher_disagreement_score":0.12628761,"about_ca_system_score_codex":0.00032920638,"about_ca_system_score_gemma":0.000016819278,"threshold_uncertainty_score":0.5680667},"labels":[],"label_agreement":null},{"id":"W4220719007","doi":"10.1029/2021wr030772","title":"Estimating the Total Economic Costs of Nutrient Emission Reduction Policies to Halt Eutrophication in the Great Lakes","year":2022,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Soil and Water Nutrient Dynamics","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 Waterloo","funders":"Global Water Futures; Canada First Research Excellence Fund","keywords":"Eutrophication; Natural resource economics; Economic cost; Pollution; Environmental science; Pollution prevention; Population; Economic impact analysis; Nutrient pollution; Nutrient; Business; Environmental protection; Economics; Engineering; Ecology","score_opus":0.026748900243423565,"score_gpt":0.29713596497295397,"score_spread":0.2703870647295304,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4220719007","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99200445,0.000015996618,0.000010007407,0.0064616464,0.0000704221,0.0004382785,0.000007749539,0.00000975492,0.0009817133],"genre_scores_gemma":[0.999022,0.000004157042,0.000044335717,0.000035117184,0.0000688041,0.00017390747,0.00001449726,0.000009365503,0.00062777934],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9980292,0.00053191767,0.00021416826,0.00024038315,0.0006362772,0.00034808964],"domain_scores_gemma":[0.9994874,0.00007408165,0.000035362147,0.0003469269,0.00000965715,0.00004655921],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018031705,0.0000775521,0.00008350328,0.000118524265,0.0006147882,0.00006411437,0.0005797785,0.000023261999,0.00011836088],"category_scores_gemma":[0.000024300218,0.000040425355,0.000033150667,0.00032918743,0.0002137866,0.00007506462,0.0007395947,0.00029680424,0.00006369653],"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":[0.00048195547,0.000323173,0.16547142,0.00003045776,0.000014212612,0.000010069611,0.17107758,0.59855807,0.04695504,0.0002678024,0.0041249166,0.012685277],"study_design_scores_gemma":[0.0028407609,0.0030706634,0.22624764,0.00020724935,0.00003858587,0.0004902032,0.06761779,0.44351974,0.07459216,0.03168104,0.14845674,0.0012374286],"about_ca_topic_score_codex":0.003771102,"about_ca_topic_score_gemma":0.000025185358,"teacher_disagreement_score":0.15503836,"about_ca_system_score_codex":0.00047656946,"about_ca_system_score_gemma":0.0000060558486,"threshold_uncertainty_score":0.57008034},"labels":[],"label_agreement":null},{"id":"W4220827408","doi":"10.1029/2021wr030907","title":"Debris‐Flood Hazard Assessments in Steep Streams","year":2022,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Landslides and related hazards","field":"Environmental Science","cited_by":41,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"BGC Engineering (Canada)","funders":"","keywords":"Debris flow; Debris; Bank erosion; Hydrology (agriculture); Flood myth; Geology; Erosion; Hazard; Fluvial; Mudflow; Hazard analysis; Natural hazard; Sediment transport; Sediment; Environmental science; Geomorphology; Geography; Geotechnical engineering; Structural basin","score_opus":0.031696702216752456,"score_gpt":0.32308995079439684,"score_spread":0.29139324857764437,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4220827408","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9542306,0.00006553033,0.0000030235628,0.0005521442,0.000072673254,0.000283279,0.000009357696,0.000028929191,0.044754475],"genre_scores_gemma":[0.9835695,0.000024368659,0.00006101214,0.00006897796,0.000035409514,0.000116962816,0.000022735561,0.000026003447,0.016075054],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9962225,0.0006101663,0.00023722493,0.00046575814,0.0015780947,0.00088625244],"domain_scores_gemma":[0.9993905,0.00005103839,0.000021027095,0.00038079466,0.000009172539,0.00014748164],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001877471,0.00012466406,0.00015328723,0.00018067849,0.0005852517,0.00010338536,0.0007016055,0.000067860026,0.015930243],"category_scores_gemma":[0.000012329416,0.00008276804,0.00005632165,0.0005336529,0.00017341995,0.000112375645,0.0021921436,0.00097537355,0.0010157139],"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":[0.0004799184,0.0009857639,0.86470944,0.00003082271,0.000071604925,0.0009413426,0.014482389,0.026199646,0.017341476,0.000029414245,0.012783736,0.061944444],"study_design_scores_gemma":[0.0016174577,0.00070002815,0.060710613,0.000017627404,0.000007661875,0.000042938056,0.0026343148,0.0076698717,0.0048227394,0.0009890329,0.9204107,0.00037699568],"about_ca_topic_score_codex":0.0026020498,"about_ca_topic_score_gemma":0.0004218578,"teacher_disagreement_score":0.907627,"about_ca_system_score_codex":0.00047163403,"about_ca_system_score_gemma":0.000011072114,"threshold_uncertainty_score":0.9997621},"labels":[],"label_agreement":null},{"id":"W4220874722","doi":"10.1029/2021wr030573","title":"Cooling Effects Revealed by Modeling of Wetlands and Land‐Atmosphere Interactions","year":2022,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Peatlands and Wetlands Ecology","field":"Environmental Science","cited_by":45,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Ducks Unlimited Canada; Global Institute for Water Security; University of Saskatchewan","funders":"Global Water Futures; Natural Sciences and Engineering Research Council of Canada","keywords":"Wetland; Environmental science; Hydrology (agriculture); Evapotranspiration; Surface runoff; Climate change; Ecology; Geology","score_opus":0.019750781738481778,"score_gpt":0.2835067456278634,"score_spread":0.2637559638893816,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4220874722","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99385685,0.00010992451,0.000050865256,0.00028790353,0.000037023146,0.00017655066,0.000010916267,0.000015930187,0.005454043],"genre_scores_gemma":[0.9968881,0.0000339885,0.00005145421,0.000037828322,0.00002732005,0.00007467967,0.000029766792,0.000013369019,0.0028435092],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983651,0.0003403539,0.00017397405,0.00028011683,0.00042623666,0.00041419],"domain_scores_gemma":[0.9995387,0.00014626778,0.000023942666,0.00018177397,0.000011771657,0.000097524455],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00088434416,0.00008537524,0.00016297556,0.000033590353,0.0005292081,0.000030702115,0.00024365801,0.000032410127,0.00175814],"category_scores_gemma":[0.000028201548,0.000061952815,0.000031400516,0.0001716729,0.00012668678,0.00006678535,0.00093396025,0.0004056765,0.000031016127],"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":[0.00045118135,0.00021646866,0.8771765,0.00008475929,0.000043538468,0.0000504451,0.00691333,0.033167463,0.06985678,0.0000072191733,0.009669702,0.0023625637],"study_design_scores_gemma":[0.0037346832,0.0018249286,0.02799666,0.000071773415,0.000040999184,0.00016838808,0.0020854298,0.6249346,0.0079047,0.0013485929,0.32920405,0.0006851644],"about_ca_topic_score_codex":0.0012804061,"about_ca_topic_score_gemma":0.0002453526,"teacher_disagreement_score":0.84917986,"about_ca_system_score_codex":0.00008292743,"about_ca_system_score_gemma":0.0000034735763,"threshold_uncertainty_score":0.9991544},"labels":[],"label_agreement":null},{"id":"W4220885263","doi":"10.1029/2021wr030412","title":"Physical Circulation in the Coastal Zone of a Large Lake Controls the Benthic Biological Distribution","year":2022,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Aquatic Invertebrate Ecology and Behavior","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":"Ministry of Environment; Ministry of the Environment, Conservation and Parks; The Scarborough Hospital; University of Toronto","funders":"","keywords":"Bay; Benthic zone; Oceanography; Environmental science; Mytilus; Spatial distribution; Mussel; Geology; Fishery; Biology","score_opus":0.04390685231930805,"score_gpt":0.3141101059100847,"score_spread":0.2702032535907767,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4220885263","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99717474,0.0000047131084,0.00003929815,0.0018983503,0.000013892012,0.00042742773,0.00007886084,0.0000050997055,0.00035763838],"genre_scores_gemma":[0.99934727,5.884524e-7,0.0000011029252,0.00010509723,0.000022809601,0.00017642346,0.00011905321,0.0000030983606,0.0002245701],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9971226,0.0015699515,0.00014175236,0.00017333569,0.00062940334,0.00036296222],"domain_scores_gemma":[0.9995429,0.0002122158,0.000025753288,0.00019007757,0.00000880458,0.000020229709],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0030440774,0.000057848665,0.00009956964,0.000020899784,0.00060423516,0.000017377419,0.0004308693,0.000039187795,0.004938126],"category_scores_gemma":[0.000044879405,0.000025808,0.000042207183,0.00025452476,0.0005254592,0.000038970433,0.00054515275,0.0005250707,0.00021871412],"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":[0.00032497014,0.0017316533,0.91332406,0.000007330733,0.000016738097,0.000050850114,0.030868994,0.0019966594,0.048441075,0.00082202867,0.0015573369,0.000858302],"study_design_scores_gemma":[0.00064067484,0.00038172572,0.96334875,0.0000014077262,0.000011096427,0.000010851349,0.0034413256,0.007855537,0.0013935083,0.0010345741,0.021799609,0.00008097254],"about_ca_topic_score_codex":0.00020457919,"about_ca_topic_score_gemma":0.0011552777,"teacher_disagreement_score":0.05002466,"about_ca_system_score_codex":0.00004616201,"about_ca_system_score_gemma":0.0000045802585,"threshold_uncertainty_score":0.9959715},"labels":[],"label_agreement":null},{"id":"W4220891837","doi":"10.1029/2021wr031630","title":"Three‐Dimensional Numerical Modeling of Cryo‐Hydrogeological Processes in a River‐Talik System in a Continuous Permafrost Environment","year":2022,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":33,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université Laval; Center for Northern Studies","funders":"Canada First Research Excellence Fund","keywords":"Permafrost; Aquifer; Hydrology (agriculture); Groundwater; Hydrogeology; Geology; Baseflow; Current (fluid); Geomorphology; Environmental science; Streamflow; Drainage basin; Geography; Geotechnical engineering; Oceanography","score_opus":0.06983139710607515,"score_gpt":0.27031322711433114,"score_spread":0.20048183000825598,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4220891837","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9967125,0.001057038,0.0000071747454,0.00020598104,0.00003225071,0.00037789776,0.0010727005,0.0000138250125,0.00052061334],"genre_scores_gemma":[0.9987918,0.00002733234,0.000029812132,0.000032432232,0.000044736502,0.000038614995,0.0009738581,0.000007114344,0.000054262302],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99686295,0.00042648523,0.00040970813,0.000446573,0.0011165108,0.0007377503],"domain_scores_gemma":[0.99939597,0.00021045955,0.00003625353,0.00020354103,0.000036104328,0.0001176536],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0014977654,0.00014623711,0.00032703756,0.00037469078,0.0002555475,0.000036719375,0.00043068748,0.000070289316,0.006980033],"category_scores_gemma":[0.000026803533,0.000103690036,0.00005047902,0.00041928035,0.00021522249,0.000085980464,0.00030658155,0.0005719524,0.00012911182],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00045478213,0.0001401983,0.80570006,0.00015771562,0.000007538806,0.0004869511,0.00876296,0.18333557,0.0005571617,0.0000034874693,0.000032459513,0.00036110388],"study_design_scores_gemma":[0.0010962619,0.0006359057,0.06212004,0.00010855917,0.0000052656214,0.00014595482,0.006377281,0.92252487,0.00026033932,0.00024564972,0.0061607603,0.00031909667],"about_ca_topic_score_codex":0.027974177,"about_ca_topic_score_gemma":0.0077091986,"teacher_disagreement_score":0.74358004,"about_ca_system_score_codex":0.000051952746,"about_ca_system_score_gemma":0.000034536362,"threshold_uncertainty_score":0.9939277},"labels":[],"label_agreement":null},{"id":"W4220925855","doi":"10.1029/2020wr029390","title":"Simulating Fully‐Integrated Hydrological Dynamics in Complex Alpine Headwaters: Potential and Challenges","year":2022,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":61,"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":"Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; National Science Foundation","keywords":"Forcing (mathematics); Evapotranspiration; Streamflow; Environmental science; Climate change; Range (aeronautics); Hydrology (agriculture); Temporal scales; Scale (ratio); Geology; Subsurface flow; Groundwater; Climatology; Drainage basin; Cartography; Geography","score_opus":0.07367508078908129,"score_gpt":0.3004404741289071,"score_spread":0.22676539333982582,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4220925855","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98090893,0.00016771379,0.000013805128,0.011969454,0.00002534062,0.00030783087,0.000006433147,0.000044229375,0.006556244],"genre_scores_gemma":[0.9983712,0.00015045657,0.00007527045,0.0001642336,0.00002306967,0.00008280525,0.000051048843,0.000014913477,0.0010670185],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9969366,0.0008665779,0.00023452414,0.0005509574,0.0005985597,0.00081273605],"domain_scores_gemma":[0.99960524,0.00007343117,0.000021408563,0.00021162839,0.000008033403,0.000080250546],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00198411,0.00015415653,0.00021615745,0.00019950992,0.0008602285,0.000043527118,0.0003868474,0.00006044448,0.0024915412],"category_scores_gemma":[0.000025706702,0.00010821424,0.00003298611,0.00022120395,0.00064293225,0.00008846638,0.003171087,0.00062608585,0.00011871512],"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":[0.0025183088,0.0015076925,0.4097172,0.00023554346,0.0002638071,0.0024448843,0.05460112,0.46599305,0.01672108,0.00061068643,0.0029461503,0.042440474],"study_design_scores_gemma":[0.002232598,0.0015177156,0.07787855,0.000013547916,0.0000161329,0.000057079847,0.013917654,0.6283819,0.00024441985,0.0044275196,0.2707117,0.00060116925],"about_ca_topic_score_codex":0.0011431947,"about_ca_topic_score_gemma":0.0006660714,"teacher_disagreement_score":0.33183864,"about_ca_system_score_codex":0.00029317648,"about_ca_system_score_gemma":0.000001430889,"threshold_uncertainty_score":0.9984203},"labels":[],"label_agreement":null},{"id":"W4220968590","doi":"10.1029/2021wr030873","title":"Extreme Sea Level Estimation Combining Systematic Observed Skew Surges and Historical Record Sea Levels","year":2022,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Drought Analysis","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":"Institut National de la Recherche Scientifique","funders":"","keywords":"Tide gauge; Skew; Surge; Statistical inference; Inference; Return period; Bayesian probability; Estimation; Calibration; Bayesian inference; Computer science; Sea level; Environmental science; Econometrics; Statistics; Meteorology; Oceanography; Geography; Geology; Engineering; Mathematics; Telecommunications","score_opus":0.2251830921952254,"score_gpt":0.3080802068165622,"score_spread":0.08289711462133678,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4220968590","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9961722,0.00020893349,0.0002683338,0.0013858088,0.00006103726,0.0003178486,0.0000112529115,0.0000435457,0.001531054],"genre_scores_gemma":[0.98714405,0.000007344897,0.00037611203,0.00005426639,0.000021889175,0.00014952698,0.00002527685,0.000019235064,0.012202293],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.995709,0.0017267512,0.0003737045,0.00047561227,0.0011141379,0.0006008123],"domain_scores_gemma":[0.9989979,0.00037881205,0.00006040804,0.00037769548,0.000019901463,0.00016528336],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0039503826,0.00014342621,0.0003456566,0.00019092846,0.0012364411,0.00008228909,0.00043299713,0.00007468796,0.003997213],"category_scores_gemma":[0.00014093278,0.0001089023,0.000075232616,0.00046760857,0.0002088747,0.0001681475,0.0010677398,0.0005262048,0.0002689715],"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":[0.00042737406,0.00082244957,0.8919997,0.0031964898,0.00035494097,0.00052014034,0.043292165,0.015453897,0.016271727,0.0001005182,0.02034021,0.0072203963],"study_design_scores_gemma":[0.003407317,0.0021597731,0.12673335,0.0006576747,0.00038415528,0.0003289909,0.0041665356,0.6922593,0.0051183803,0.0142461,0.14824083,0.0022975851],"about_ca_topic_score_codex":0.004170284,"about_ca_topic_score_gemma":0.00039432332,"teacher_disagreement_score":0.76526636,"about_ca_system_score_codex":0.00074672356,"about_ca_system_score_gemma":0.00000896195,"threshold_uncertainty_score":0.99691325},"labels":[],"label_agreement":null},{"id":"W4221016023","doi":"10.1029/2021wr031509","title":"Incorporating the Effect of Gravity Into Image‐Based Drainage Simulations on Volumetric Images of Porous Media","year":2022,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Enhanced Oil Recovery Techniques","field":"Engineering","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":"Canadian Institute for Energy Training; University of Waterloo; University of Toronto","funders":"","keywords":"Micromodel; Porous medium; Image (mathematics); Drainage; Computer science; Image processing; Gravitational field; Flow (mathematics); Geology; Work (physics); Algorithm; Mechanics; Mathematics; Porosity; Computer vision; Geometry; Geotechnical engineering; Physics; Engineering; Classical mechanics; Mechanical engineering","score_opus":0.016730064424563866,"score_gpt":0.30155371605350023,"score_spread":0.28482365162893636,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4221016023","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99605584,0.000118341,0.0005422786,0.000070935836,0.000043596425,0.0004605026,0.000053782478,0.00014444071,0.002510281],"genre_scores_gemma":[0.9988429,0.0000024330284,0.0008180383,0.00000502164,0.000031879263,0.00013518447,0.00003488524,0.000047317593,0.000082354694],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99715865,0.00091083895,0.00032606735,0.00020681109,0.0010431026,0.00035452982],"domain_scores_gemma":[0.9971519,0.0020957787,0.000055056735,0.0005272237,0.00012173524,0.000048312562],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027579921,0.0001445209,0.00025820493,0.00083060015,0.00030785578,0.00003954284,0.0006053973,0.00004889152,0.00011064978],"category_scores_gemma":[0.00060920557,0.00009570956,0.00008603023,0.00117917,0.000272322,0.000080364865,0.00035267015,0.0007350067,0.000007496543],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023463422,0.00008093694,0.0052111996,0.00065781217,0.000059464386,0.000030544827,0.004455722,0.18158774,0.7867158,0.0000353258,0.00073598395,0.020194843],"study_design_scores_gemma":[0.00028686642,0.00076700485,0.0012107863,0.000035422363,0.000008158291,0.0000010547872,0.00012967135,0.02042035,0.97478044,0.0013515963,0.0008919351,0.00011671438],"about_ca_topic_score_codex":0.0003816113,"about_ca_topic_score_gemma":0.000030701394,"teacher_disagreement_score":0.18806465,"about_ca_system_score_codex":0.00016877352,"about_ca_system_score_gemma":0.000012401713,"threshold_uncertainty_score":0.3902923},"labels":[],"label_agreement":null},{"id":"W4223472169","doi":"10.1029/2021wr030895","title":"Uncertainty Characterization of Ground‐Based, Satellite, and Reanalysis Snow Depth Products Using Extended Triple Collocation","year":2022,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Cryospheric studies and observations","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 Key Research and Development Program of China","keywords":"Environmental science; Ground truth; Data assimilation; Remote sensing; Satellite; Shortwave; Snow; Scale (ratio); Meteorology; Hydrometeorology; Computer science; Precipitation; Radiative transfer; Geology; Geography","score_opus":0.07599983240130517,"score_gpt":0.29216309440069493,"score_spread":0.21616326199938976,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4223472169","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9983203,0.00039717832,0.00006760068,0.00055607705,0.00006247955,0.00031637956,0.00006185331,0.00001412042,0.00020401178],"genre_scores_gemma":[0.99812096,0.00010017998,0.0002530785,0.00003786092,0.00006032819,0.000010709892,0.0006654263,0.000005056876,0.00074638263],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9980024,0.00041324337,0.00024647248,0.0003080975,0.0007101034,0.000319683],"domain_scores_gemma":[0.9992551,0.00011494223,0.00006534266,0.00023438093,0.00027142564,0.00005878511],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012848867,0.00008746322,0.00016640864,0.0001647104,0.000938797,0.00007709959,0.00017680672,0.000024579762,0.0006869133],"category_scores_gemma":[0.00010996551,0.00006576961,0.000028971866,0.0012974063,0.00014793174,0.000108650565,0.000077435296,0.00015940031,0.000004817446],"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":[0.0006013007,0.0001625205,0.8236346,0.00019403126,0.00013674254,0.000013873625,0.010571961,0.049557272,0.040724907,0.00002352764,0.000099458855,0.074279755],"study_design_scores_gemma":[0.00028913832,0.00019404264,0.849397,0.000011170876,0.000025048406,0.0000035147807,0.0021372354,0.09892151,0.0013497053,0.00006766436,0.047479063,0.0001249102],"about_ca_topic_score_codex":0.008654936,"about_ca_topic_score_gemma":0.0013433518,"teacher_disagreement_score":0.07415484,"about_ca_system_score_codex":0.000026923557,"about_ca_system_score_gemma":0.00004563845,"threshold_uncertainty_score":0.9979465},"labels":[],"label_agreement":null},{"id":"W4225415158","doi":"10.1029/2020wr029034","title":"Geostatistics of the Borden Aquifer: High‐Resolution Characterization Using Direct Groundwater Velocity Measurements","year":2022,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Groundwater flow and contamination studies","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Aquifer; Hydraulic conductivity; Geology; Geostatistics; Soil science; Groundwater; Aquifer properties; Groundwater flow; Variogram; Spatial variability; Hydrogeology; Hydrology (agriculture); Geotechnical engineering; Groundwater recharge; Soil water; Mathematics; Kriging","score_opus":0.0678140787070991,"score_gpt":0.2921044983715696,"score_spread":0.2242904196644705,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4225415158","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.997339,0.000014262147,0.0010811454,0.00032560833,0.0001573182,0.0003559746,0.000037986563,0.000016890895,0.0006718234],"genre_scores_gemma":[0.9934875,0.0000032356759,0.000099180485,0.000049892955,0.00003892974,0.00006983617,0.000047345275,0.000017017654,0.0061871],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.996287,0.00090752396,0.00026991713,0.000302634,0.0017800267,0.0004528897],"domain_scores_gemma":[0.9994639,0.000036368143,0.00006731265,0.0003173442,0.00007007674,0.000044974215],"candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0016632255,0.00011517477,0.00014825109,0.0000910987,0.0014438062,0.00006766493,0.0004978385,0.000031236144,0.0013188045],"category_scores_gemma":[0.000034791068,0.00007371556,0.00004896875,0.00037882748,0.0003271228,0.00013916094,0.0017615447,0.0002473489,0.000055266184],"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":[0.00019574851,0.0003936448,0.24332252,0.000051736406,0.00009631729,0.000007869918,0.020143252,0.004236309,0.7165541,0.00003339516,0.00071921875,0.014245859],"study_design_scores_gemma":[0.00076113915,0.000266724,0.68067443,0.000022102007,0.00003856214,0.000009574229,0.0009348971,0.007335235,0.085118555,0.00021225493,0.22428952,0.00033698935],"about_ca_topic_score_codex":0.0034428965,"about_ca_topic_score_gemma":0.00012016683,"teacher_disagreement_score":0.6314356,"about_ca_system_score_codex":0.00049655855,"about_ca_system_score_gemma":0.000009058704,"threshold_uncertainty_score":0.9998562},"labels":[],"label_agreement":null},{"id":"W4225592915","doi":"10.1029/2021wr031781","title":"Bedrock Vadose Zone Storage Dynamics Under Extreme Drought: Consequences for Plant Water Availability, Recharge, and Runoff","year":2022,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":59,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"Biological and Environmental Research; British Columbia Knowledge Development Fund; Natural Sciences and Engineering Research Council of Canada; U.S. Department of Energy; Office of Science; Simon Fraser University; National Science Foundation","keywords":"Groundwater recharge; Surface runoff; Hydrology (agriculture); Water content; Bedrock; Water storage; Environmental science; Vadose zone; Moisture; Groundwater; Soil water; Precipitation; Streamflow; Geology; Soil science; Drainage basin; Aquifer; Ecology; Geomorphology; Geography","score_opus":0.05200246893008977,"score_gpt":0.27434321193424693,"score_spread":0.22234074300415715,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4225592915","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9943623,0.00007491062,0.00044104323,0.0019491568,0.000117058415,0.00078203226,0.0004372181,0.00005716163,0.0017791359],"genre_scores_gemma":[0.9764321,0.00003144953,0.00033946076,0.00010516147,0.000044179356,0.0003016935,0.00065117405,0.000038409344,0.02205637],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.99644375,0.00048613155,0.00034659135,0.0007158675,0.0010185285,0.0009891153],"domain_scores_gemma":[0.9991439,0.00015835691,0.00003550409,0.00044095886,0.000026027696,0.00019524118],"candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0024437564,0.00021589408,0.0002374338,0.00018228014,0.0013349246,0.0001845266,0.0005732034,0.000102899714,0.002170634],"category_scores_gemma":[0.000016951719,0.00014391782,0.000072760566,0.0002047126,0.0006819203,0.00018368271,0.0016501804,0.0005944703,0.00018275538],"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":[0.00399305,0.0026087174,0.15549983,0.00068793993,0.00057326996,0.0009779199,0.07934052,0.14159223,0.57785994,0.0040870723,0.0202967,0.012482836],"study_design_scores_gemma":[0.0019096428,0.0010438683,0.00201231,0.000031101223,0.000048667713,0.00040569442,0.002489868,0.34930834,0.010753231,0.023219924,0.60765713,0.0011201731],"about_ca_topic_score_codex":0.0011760937,"about_ca_topic_score_gemma":0.00064004434,"teacher_disagreement_score":0.58736044,"about_ca_system_score_codex":0.00057610485,"about_ca_system_score_gemma":0.0000132427695,"threshold_uncertainty_score":0.9999652},"labels":[],"label_agreement":null},{"id":"W4226054255","doi":"10.1029/2021wr031587","title":"Characterizing Catchment‐Scale Nitrogen Legacies and Constraining Their Uncertainties","year":2022,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Soil and Water Nutrient Dynamics","field":"Environmental Science","cited_by":29,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Equifinality; Environmental science; Hydrology (agriculture); Drainage basin; Groundwater; Scale (ratio); Watershed; Residual; Soil science; Geology; Geography; Ecology; Mathematics","score_opus":0.03377335474888139,"score_gpt":0.26802459353497626,"score_spread":0.23425123878609488,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4226054255","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9913945,0.00007461195,0.000002975505,0.001594314,0.00005515166,0.00019337509,0.000026774464,0.0000482762,0.0066099744],"genre_scores_gemma":[0.99782467,0.000026644238,0.000050324576,0.00018242802,0.000043812182,0.00010179375,0.000034894743,0.000019825444,0.001715631],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9977202,0.00031488016,0.00017107662,0.00038782167,0.00070544536,0.0007005811],"domain_scores_gemma":[0.99950373,0.00006654346,0.000023367542,0.00023361051,0.000011188703,0.0001615816],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011483165,0.00013416055,0.00014369124,0.00011596837,0.0012591496,0.00018310874,0.0003972741,0.000032043088,0.00063312636],"category_scores_gemma":[0.000012182365,0.00009424495,0.000040387058,0.00021011694,0.000752844,0.00016102355,0.0019677866,0.0004276536,0.00008759247],"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":[0.00009387882,0.00007077798,0.8664718,0.000018631574,0.000024038603,0.00003185679,0.105193034,0.00022499061,0.020144774,0.000021241152,0.00058976386,0.0071151885],"study_design_scores_gemma":[0.0008262481,0.000458719,0.008928898,0.00002045922,0.000010265603,0.00013199527,0.076931335,0.0036646056,0.031567194,0.0108933635,0.8660047,0.0005622079],"about_ca_topic_score_codex":0.0008595545,"about_ca_topic_score_gemma":0.000012634078,"teacher_disagreement_score":0.865415,"about_ca_system_score_codex":0.00016106191,"about_ca_system_score_gemma":0.000006826164,"threshold_uncertainty_score":0.9684488},"labels":[],"label_agreement":null},{"id":"W4226362418","doi":"10.1029/2021wr031665","title":"Controls on Stream Water Age in a Saturation Overland Flow‐Dominated Catchment","year":2022,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Watershed Management Studies","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":false,"ca_institutions":"Simon Fraser University","funders":"Simon Fraser University","keywords":"Surface runoff; Streamflow; Hydrology (agriculture); Hydrograph; Environmental science; Drainage basin; Runoff curve number; Subsurface flow; Runoff model; Watershed; Saturation (graph theory); Geology; Groundwater; Geography; Ecology","score_opus":0.022381675843133927,"score_gpt":0.281376501780517,"score_spread":0.25899482593738304,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4226362418","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9804918,0.000013858734,0.0000020570242,0.0031479304,0.000059681603,0.00060378463,0.000005930061,0.000026652886,0.015648302],"genre_scores_gemma":[0.9872092,0.000008796459,0.000012903001,0.00030828672,0.000028778359,0.00037140044,0.000069420516,0.0000133535195,0.01197789],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.9970374,0.0006990031,0.00020902796,0.00045064653,0.00081548846,0.0007883948],"domain_scores_gemma":[0.9995841,0.000054670316,0.000014460067,0.000277952,0.0000061447477,0.00006271083],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0017608254,0.00013972669,0.00017569293,0.00021137687,0.00071240024,0.000056866105,0.00034753844,0.00004530351,0.0032308225],"category_scores_gemma":[0.0000145155755,0.000083713785,0.000039781542,0.00017220476,0.00023828552,0.0000872859,0.0012784644,0.0005142424,0.0009500963],"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":[0.007780894,0.002664824,0.24795514,0.00009757522,0.00033111247,0.003721024,0.1986296,0.2568267,0.22235271,0.00014028786,0.05015039,0.009349741],"study_design_scores_gemma":[0.00568919,0.0020935354,0.063000575,0.000022202277,0.00002113828,0.000010296227,0.0030945574,0.0074962275,0.060796544,0.002331914,0.8547975,0.00064636214],"about_ca_topic_score_codex":0.0010600334,"about_ca_topic_score_gemma":0.0006438341,"teacher_disagreement_score":0.8046471,"about_ca_system_score_codex":0.00036488782,"about_ca_system_score_gemma":0.0000015206172,"threshold_uncertainty_score":0.9998278},"labels":[],"label_agreement":null},{"id":"W4229445375","doi":"10.1029/2021wr030695","title":"Domestic Groundwater Depletion Supports China's Full Supply Chains","year":2022,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Water resources management and optimization","field":"Engineering","cited_by":39,"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 Victoria","funders":"Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Science; National Natural Science Foundation of China","keywords":"Groundwater; China; Resource depletion; Environmental science; Water resource management; Food security; Resource (disambiguation); Natural resource economics; Agriculture; Geography; Geology; Economics","score_opus":0.017199152217010863,"score_gpt":0.2545424589086147,"score_spread":0.23734330669160386,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4229445375","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98689973,0.00016566605,0.0009486919,0.0006633685,0.00032954323,0.00063452346,0.000013085262,0.00050570164,0.009839676],"genre_scores_gemma":[0.9820061,0.00004109249,0.0001236926,0.00003624877,0.00023467514,0.00034390774,0.0003924559,0.00010885744,0.016713014],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.9965548,0.00035839342,0.00033219275,0.0004265573,0.0012198621,0.0011082302],"domain_scores_gemma":[0.99924594,0.000028851615,0.000019800771,0.0004935185,0.000051566534,0.00016031328],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0013778989,0.00024093219,0.00021373876,0.0008323733,0.00082197436,0.0003317499,0.00062610133,0.000065401946,0.0038323726],"category_scores_gemma":[0.000011268911,0.00019608226,0.00009089239,0.000529176,0.000104419334,0.00020925919,0.0007675842,0.00061824854,0.00029668727],"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":[0.00044244662,0.00042404546,0.00992604,0.00060515373,0.00026629545,0.0008988775,0.0451674,0.869902,0.0156509,0.00029237347,0.049615085,0.00680936],"study_design_scores_gemma":[0.0008677592,0.00047848842,0.004048169,0.000019774048,0.00002155427,0.00008508369,0.00081047585,0.11524604,0.0020766894,0.0005188971,0.87527657,0.0005504988],"about_ca_topic_score_codex":0.00016069462,"about_ca_topic_score_gemma":0.000034255878,"teacher_disagreement_score":0.8256615,"about_ca_system_score_codex":0.00027154436,"about_ca_system_score_gemma":0.000005554349,"threshold_uncertainty_score":0.99707824},"labels":[],"label_agreement":null},{"id":"W4229447720","doi":"10.1029/2021wr031862","title":"Temporal Hierarchical Reconciliation for Consistent Water Resources Forecasting Across Multiple Timescales: An Application to Precipitation Forecasting","year":2022,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrological Forecasting Using AI","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":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Exponential smoothing; Benchmark (surveying); Computer science; Precipitation; Autoregressive integrated moving average; Econometrics; Moving average; Artificial neural network; Scaling; Smoothing; Climatology; Time series; Environmental science; Meteorology; Machine learning; Mathematics; Geography; Geology","score_opus":0.10847613805272727,"score_gpt":0.33838440239893264,"score_spread":0.22990826434620537,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4229447720","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9934748,0.0000071649206,0.0020175932,0.0014571537,0.00009327538,0.0021257196,0.000082860715,0.00016528815,0.00057614845],"genre_scores_gemma":[0.9893465,3.029033e-7,0.006355137,0.0002325462,0.00022567209,0.0018457647,0.00035985344,0.00007412633,0.0015600864],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99387413,0.0010521868,0.0006844859,0.0012150866,0.0015276265,0.0016464703],"domain_scores_gemma":[0.998096,0.00071634096,0.00010151974,0.0005644067,0.00011534246,0.00040639465],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0073930975,0.00028220532,0.00030821766,0.00019872565,0.003149555,0.0003018718,0.00084364344,0.00014176685,0.0006199724],"category_scores_gemma":[0.0008628607,0.00020481843,0.00012882758,0.00047559838,0.00042735404,0.0002911432,0.0017653862,0.0007268398,0.00025664442],"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":[0.0023955342,0.000609476,0.05561955,0.000118587195,0.000045411503,0.000027483442,0.18395825,0.49954847,0.13422923,0.000006886482,0.0012440439,0.1221971],"study_design_scores_gemma":[0.0011144474,0.0020880944,0.001984176,0.000029620343,0.000012668146,0.00005118269,0.0022996946,0.7579233,0.016100485,0.0018296151,0.21601492,0.0005517941],"about_ca_topic_score_codex":0.0011320035,"about_ca_topic_score_gemma":0.00054297555,"teacher_disagreement_score":0.25837484,"about_ca_system_score_codex":0.0007448127,"about_ca_system_score_gemma":0.000010011607,"threshold_uncertainty_score":0.9981482},"labels":[],"label_agreement":null},{"id":"W4229454336","doi":"10.1029/2021wr030586","title":"Inferring Aquitard Hydraulic Conductivity Using Transient Temperature‐Depth Profiles Impacted by Ground Surface Warming","year":2022,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Groundwater flow and contamination 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":"Dalhousie University","funders":"","keywords":"Hydraulic conductivity; Aquifer; Groundwater recharge; Groundwater model; Geology; Groundwater; Hydraulic head; Soil science; Environmental science; Hydrology (agriculture); Aquifer properties; Geotechnical engineering; Soil water","score_opus":0.05689847811054221,"score_gpt":0.31190724586772417,"score_spread":0.25500876775718195,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4229454336","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9973887,0.00017124909,0.000083175975,0.0005399655,0.00009330308,0.0005279019,0.00002992256,0.0000710791,0.0010946896],"genre_scores_gemma":[0.9926415,0.0000062502245,0.00006728441,0.00007984686,0.00004334564,0.00008190871,0.00004109623,0.00003738302,0.007001402],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.99550754,0.00089845655,0.00028708807,0.00063063885,0.0016434586,0.0010328322],"domain_scores_gemma":[0.9993285,0.00009052812,0.00003927103,0.00033950113,0.00003526797,0.00016690954],"candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0018924866,0.00023169033,0.00025588588,0.00012779744,0.0022342948,0.0002528034,0.0005127042,0.000060950333,0.0014667618],"category_scores_gemma":[0.000022065256,0.00017631592,0.00008215623,0.00054938113,0.00040443867,0.0004204021,0.0013417462,0.0007814526,0.0000996241],"study_design_candidate":"bench_or_experimental","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":[0.00006901056,0.00014728113,0.020554041,0.000022256256,0.00004329377,0.000033445955,0.023912972,0.0045566903,0.94713306,0.0000018772207,0.0016781104,0.0018479835],"study_design_scores_gemma":[0.0017061788,0.0006618779,0.041997325,0.000037396654,0.00004087379,0.00009030953,0.021117223,0.006586914,0.38027442,0.00008864899,0.54628676,0.0011120482],"about_ca_topic_score_codex":0.0056291046,"about_ca_topic_score_gemma":0.00017231143,"teacher_disagreement_score":0.5668586,"about_ca_system_score_codex":0.00076342793,"about_ca_system_score_gemma":0.000013841608,"threshold_uncertainty_score":0.99944603},"labels":[],"label_agreement":null},{"id":"W4242550320","doi":"10.1002/2013wr014198","title":"Reply to comment by Birkinshaw on “A paradigm shift in understanding and quantifying the effects of forest harvesting on floods in snow environments”","year":2014,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Flood Risk Assessment and Management","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Snow; Environmental science; Paradigm shift; Climate change; Physical geography; Climatology; Meteorology; Geology; Geography","score_opus":0.06033456429316163,"score_gpt":0.3147183256489338,"score_spread":0.2543837613557722,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4242550320","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9881675,0.000020450323,0.00038300056,0.008403723,0.000031929427,0.00081488985,9.786071e-7,0.000008402629,0.0021691294],"genre_scores_gemma":[0.9987598,0.00003473866,0.000051371007,0.0008147813,0.000014385436,0.0000825603,0.0000039931583,0.000019605674,0.00021875257],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9973244,0.00059306616,0.00025710103,0.00044542662,0.0007890196,0.0005909732],"domain_scores_gemma":[0.99873215,0.00075117714,0.000036376634,0.00038227436,7.6545246e-7,0.000097283846],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026118392,0.00015077917,0.00017645629,0.00022377916,0.0002185761,0.00009772212,0.00037645752,0.000041198735,0.000036856618],"category_scores_gemma":[0.000102183745,0.00009393253,0.00002382515,0.00022159063,0.00022522172,0.00008821681,0.0006355434,0.00033988195,0.00006105205],"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":[0.0005316222,0.00100861,0.89568925,0.00031954714,0.000046122026,0.000056841567,0.043195214,0.017983649,0.014499124,0.006494473,0.007830275,0.012345302],"study_design_scores_gemma":[0.0036700668,0.0037794886,0.5056392,0.0013381601,0.000015732416,0.000001141004,0.0027113326,0.008191507,0.02774925,0.014356752,0.43186867,0.000678722],"about_ca_topic_score_codex":0.0043847603,"about_ca_topic_score_gemma":0.001823302,"teacher_disagreement_score":0.42403838,"about_ca_system_score_codex":0.00034188956,"about_ca_system_score_gemma":0.0000013395825,"threshold_uncertainty_score":0.6628475},"labels":[],"label_agreement":null},{"id":"W4280537389","doi":"10.1029/2021wr030574","title":"Initial Distribution and Interannual Decrease of Suspended Sediment in a Two‐Basin Lake Following a Massive Mine Tailings Spill: Quesnel Lake, BC, Canada","year":2022,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Tailings Management and Properties","field":"Engineering","cited_by":7,"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 Northern British Columbia; Fisheries and Oceans Canada; University of British Columbia","funders":"","keywords":"Structural basin; Hydrology (agriculture); Sediment; Tailings; Drainage basin; Tonne; Geology; Environmental science; Sedimentary budget; Sediment transport; Geomorphology; Geography; Archaeology; Geotechnical engineering","score_opus":0.02090245013475195,"score_gpt":0.27288659704735596,"score_spread":0.251984146912604,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4280537389","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99764097,0.00021356976,0.000010139594,0.00040851888,0.000106804146,0.00035120145,0.00010825655,0.000037894028,0.001122625],"genre_scores_gemma":[0.9989529,0.000009472887,0.000020090714,0.00002407511,0.00004795064,0.00010028518,0.0002466688,0.000025558968,0.0005729653],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9979419,0.00022741524,0.00030997515,0.00024224765,0.0007523044,0.0005261575],"domain_scores_gemma":[0.9995627,0.00007576189,0.000021942173,0.00016408048,0.00005567374,0.0001198574],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010098104,0.00014845283,0.00022752729,0.0002496521,0.00016627427,0.00007362738,0.00025950075,0.000024871491,0.0004160939],"category_scores_gemma":[0.00007848249,0.00012588102,0.000044831544,0.00026681524,0.00007006094,0.000092803944,0.0005292078,0.00043349896,0.000002274803],"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":[0.013516026,0.0014813402,0.35199502,0.0063787866,0.0029362815,0.012252633,0.24181063,0.18092705,0.09543495,0.001287558,0.048113108,0.043866623],"study_design_scores_gemma":[0.007216515,0.00076944585,0.0042211837,0.00039657461,0.000070083785,0.000021078251,0.019968517,0.043353643,0.09360464,0.0006085005,0.82867736,0.0010924533],"about_ca_topic_score_codex":0.17039736,"about_ca_topic_score_gemma":0.53947425,"teacher_disagreement_score":0.78056425,"about_ca_system_score_codex":0.0002208872,"about_ca_system_score_gemma":0.00005202109,"threshold_uncertainty_score":0.83512706},"labels":[],"label_agreement":null},{"id":"W4280547174","doi":"10.1029/2021wr031716","title":"Toluene NAPL Oxidation by Ferrous Activated Persulfate in a Fractured Rock Glass Replica","year":2022,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Groundwater flow and contamination studies","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":false,"ca_institutions":"Hudbay Minerals (Canada); York University; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Toluene; Persulfate; Ferrous; Dissolution; Chemistry; Aqueous solution; Sodium persulfate; Mineralogy; Nuclear chemistry; Organic chemistry; Catalysis","score_opus":0.026267607848853836,"score_gpt":0.2877493360724228,"score_spread":0.26148172822356897,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4280547174","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9951161,0.00007566111,0.00010924913,0.002272754,0.000037256563,0.00037342022,0.00000983493,0.00004667762,0.0019590391],"genre_scores_gemma":[0.9695582,0.000007657966,0.000014819577,0.00016143353,0.0000210548,0.0003496627,0.00007072063,0.00002177844,0.029794693],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.99664265,0.00061887346,0.00024744455,0.0005659412,0.0012532917,0.0006717918],"domain_scores_gemma":[0.9994254,0.00006561438,0.000034783694,0.00036029296,0.000024827019,0.000089056695],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0011987587,0.00014428233,0.00016942316,0.00017795687,0.00084477937,0.00011015659,0.0004980221,0.000053464442,0.003428227],"category_scores_gemma":[0.000039823204,0.00011163987,0.00004247994,0.00056388375,0.000099853525,0.00019479757,0.0012923967,0.00056112226,0.00047369962],"study_design_candidate":"bench_or_experimental","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":[0.0003444152,0.00026400553,0.017056044,0.000010091272,0.000026018186,0.00004891427,0.028157134,0.0017634645,0.9281063,0.0000033002643,0.012886765,0.011333564],"study_design_scores_gemma":[0.0007114561,0.00020516408,0.017336918,0.000004510758,0.000003013829,0.000007862083,0.002857888,0.0010833758,0.114960335,0.000058097216,0.86256456,0.0002068417],"about_ca_topic_score_codex":0.0032244057,"about_ca_topic_score_gemma":0.00024163636,"teacher_disagreement_score":0.84967774,"about_ca_system_score_codex":0.0006519784,"about_ca_system_score_gemma":0.0000053893136,"threshold_uncertainty_score":0.9974828},"labels":[],"label_agreement":null},{"id":"W4280556630","doi":"10.1029/2021wr031641","title":"Rainfall Generation Revisited: Introducing CoSMoS‐2s and Advancing Copula‐Based Intermittent Time Series Modeling","year":2022,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Drought Analysis","field":"Environmental Science","cited_by":67,"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 Saskatchewan; University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; Grantová Agentura České Republiky","keywords":"Copula (linguistics); Statistical physics; Series (stratigraphy); Mathematics; Rank correlation; Probability and statistics; Exponential function; Applied mathematics; Statistics; Geology; Econometrics; Physics; Mathematical analysis","score_opus":0.024603847492593627,"score_gpt":0.27966234601457446,"score_spread":0.2550584985219808,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4280556630","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9955428,0.00013182253,0.00085048086,0.0021467893,0.000023343173,0.00019686935,0.000004670969,0.00003526722,0.0010679404],"genre_scores_gemma":[0.99534523,0.000011108191,0.0006811456,0.00030343945,0.00011129304,0.00006403386,0.00008087442,0.000019209772,0.003383651],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9972011,0.000764656,0.0002534468,0.00054168596,0.0006807265,0.00055840163],"domain_scores_gemma":[0.9994484,0.00004554316,0.000029054287,0.00034126677,0.000021554957,0.000114148286],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0028648993,0.00012533984,0.00018821961,0.00018756818,0.0012826691,0.00010142513,0.0002874479,0.000046788864,0.0048175133],"category_scores_gemma":[0.000072461575,0.000100306446,0.000050888873,0.00032365546,0.00019988629,0.00021735994,0.0010428483,0.0004819416,0.00023772274],"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":[0.0002182849,0.000071722636,0.020213453,0.000025320684,0.00004089342,0.00007127187,0.0077421935,0.7801919,0.1828299,0.000007908935,0.0034999696,0.005087148],"study_design_scores_gemma":[0.00024783608,0.00016463386,0.00013066908,0.000007300073,0.000014360538,0.000018094093,0.00032234343,0.95691055,0.0043014465,0.00019538977,0.037525587,0.00016176324],"about_ca_topic_score_codex":0.0004890894,"about_ca_topic_score_gemma":0.00008976833,"teacher_disagreement_score":0.17852846,"about_ca_system_score_codex":0.00023475858,"about_ca_system_score_gemma":0.000006703997,"threshold_uncertainty_score":0.9960922},"labels":[],"label_agreement":null},{"id":"W4281658847","doi":"10.1029/2021wr031887","title":"Exposure Risk of Fish Downstream of a Hydropower Facility to Supersaturated Total Dissolved Gas","year":2022,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":26,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"BC Hydro (Canada); University of British Columbia; University of Alberta; University of Waterloo; Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada; BC Hydro","keywords":"Hydropower; Habitat; Fish migration; Environmental science; Foraging; Fishery; Fluvial; Ecology; Biology","score_opus":0.016920780808678346,"score_gpt":0.2597248351426076,"score_spread":0.24280405433392924,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4281658847","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9902742,0.0000075084295,0.0000020616753,0.0013167132,0.000038032445,0.00043120704,0.00016485866,0.00001672758,0.0077487263],"genre_scores_gemma":[0.99550307,0.000009824857,0.000021364405,0.00006126367,0.0000067895357,0.00009054368,0.000026275082,0.000006325663,0.004274529],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99756724,0.0005551754,0.00024698436,0.00036163745,0.0007833933,0.00048559962],"domain_scores_gemma":[0.99938565,0.00009350943,0.000037040234,0.00037699193,0.000026089556,0.000080722966],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0014305613,0.000105216546,0.00020743739,0.00011840599,0.0004649822,0.000011220722,0.0004363836,0.000038850012,0.01067483],"category_scores_gemma":[0.00011513263,0.0000769257,0.00006713898,0.00041465496,0.00054181746,0.000063965665,0.0025088077,0.00034689263,0.00014440597],"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":[0.00080938765,0.0005947526,0.85671276,0.000054481327,0.00017525848,0.000030415078,0.030387694,0.0045686336,0.027717575,0.0000035845887,0.07761629,0.0013291576],"study_design_scores_gemma":[0.00086749706,0.001853154,0.83088666,0.000008283542,0.00002993323,0.0000036198685,0.009848759,0.0001719678,0.03534421,0.00018592445,0.12053239,0.0002675868],"about_ca_topic_score_codex":0.0018562567,"about_ca_topic_score_gemma":0.0009588176,"teacher_disagreement_score":0.042916104,"about_ca_system_score_codex":0.00010726054,"about_ca_system_score_gemma":0.000003418165,"threshold_uncertainty_score":0.99022955},"labels":[],"label_agreement":null},{"id":"W4281713653","doi":"10.1029/2021wr031557","title":"Development of a Joint Probabilistic Rainfall‐Runoff Model for High‐to‐Extreme Flow Projections Under Changing Climatic Conditions","year":2022,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":19,"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; University of Regina","funders":"Western Economic Diversification Canada; Mitacs; Canada Research Chairs","keywords":"Copula (linguistics); Probabilistic logic; Streamflow; Flood myth; Environmental science; Climate change; Precipitation; Surface runoff; Joint probability distribution; Tail dependence; Context (archaeology); Climatology; Computer science; Meteorology; Mathematics; Econometrics; Statistics; Multivariate statistics; Drainage basin; Geology; Geography; Ecology","score_opus":0.12730092733066387,"score_gpt":0.3190330405577836,"score_spread":0.19173211322711972,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4281713653","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98188186,0.000005047316,0.010636482,0.0035657873,0.000047345293,0.0019082365,0.000036289624,0.000047937636,0.0018710354],"genre_scores_gemma":[0.9797266,0.0000010118165,0.009476324,0.00017145244,0.000015906939,0.003207809,0.00005307301,0.000020660636,0.00732712],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9977687,0.0001639876,0.00031767585,0.00038959726,0.0006156437,0.0007444233],"domain_scores_gemma":[0.9995459,0.00006513605,0.00003448252,0.00024953572,0.00002816588,0.00007679517],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0018806481,0.0001246161,0.00018432392,0.0003874584,0.002169381,0.000025683465,0.0003136651,0.000029263083,0.00078293134],"category_scores_gemma":[0.00004011361,0.00009668411,0.000051662315,0.0005091144,0.00027068844,0.00006796328,0.00169978,0.00020312556,0.00012432353],"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":[0.00010822612,0.00034903205,0.0003754909,0.00016038415,0.00011569087,0.00000365417,0.12519224,0.855516,0.013583789,0.00069656124,0.0033074233,0.00059147715],"study_design_scores_gemma":[0.0016290344,0.00065517455,0.003236531,0.000059621372,0.00007196464,0.000007570402,0.017487207,0.8823937,0.00500915,0.037085745,0.051676463,0.00068781845],"about_ca_topic_score_codex":0.00012875594,"about_ca_topic_score_gemma":0.00026339045,"teacher_disagreement_score":0.10770503,"about_ca_system_score_codex":0.00033968175,"about_ca_system_score_gemma":0.00001667873,"threshold_uncertainty_score":0.99912965},"labels":[],"label_agreement":null},{"id":"W4281732974","doi":"10.1029/2021wr031370","title":"Multifactorial Principal‐Monotonicity Inference for Macro‐Scale Distributed Hydrologic Modeling","year":2022,"lang":"en","type":"article","venue":"Water Resources Research","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":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Regina","funders":"","keywords":"Streamflow; Environmental science; Climatology; Hydrological modelling; Climate change; Hydrometeorology; Precipitation; Hydrology (agriculture); Drainage basin; Meteorology; Geography; Geology","score_opus":0.05803408128951912,"score_gpt":0.3251411214754179,"score_spread":0.2671070401858988,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4281732974","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99435866,0.0000144569185,0.0016891061,0.0011806535,0.00015053219,0.0008545497,0.000060792456,0.00007515642,0.0016160723],"genre_scores_gemma":[0.997258,0.000009293012,0.00016928831,0.00009418049,0.000083257226,0.0008463305,0.000091911556,0.000016777489,0.0014309708],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.996964,0.00043519872,0.00024838038,0.0006039624,0.000722792,0.001025665],"domain_scores_gemma":[0.9993295,0.00015869035,0.000028960601,0.0003581295,0.000021222817,0.00010351458],"candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0021648128,0.00016195393,0.00020279892,0.00009585185,0.0020715906,0.000057475405,0.00076471176,0.00007008084,0.0017146191],"category_scores_gemma":[0.00009061252,0.00011848104,0.000081563645,0.00021703386,0.0003596883,0.00011099515,0.0036162322,0.0005506674,0.00023941511],"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":[0.001083919,0.00036724954,0.086382724,0.000037541184,0.00008008174,0.00002950455,0.013067184,0.8868728,0.009292517,0.000048357324,0.0018970806,0.0008410287],"study_design_scores_gemma":[0.0012920953,0.000600685,0.0015797876,0.0000034256502,0.000018454892,0.0000023321222,0.00068278995,0.62543905,0.0037267294,0.0050546248,0.36124182,0.0003581868],"about_ca_topic_score_codex":0.00087754714,"about_ca_topic_score_gemma":0.0001226037,"teacher_disagreement_score":0.35934472,"about_ca_system_score_codex":0.0002831677,"about_ca_system_score_gemma":0.0000047165513,"threshold_uncertainty_score":0.9992276},"labels":[],"label_agreement":null},{"id":"W4281774949","doi":"10.1029/2021wr031527","title":"Aerial Observations and Numerical Simulations Confirm Density‐Driven Streamwise Vortices at a River Confluence","year":2022,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Sediment Transport Processes","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":"Université de Sherbrooke; Environment and Climate Change Canada","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada","keywords":"Confluence; Tributary; Vortex; Lagrangian coherent structures; Mesoscale meteorology; Pointwise; Geology; Mixing (physics); Mechanics; Particle image velocimetry; Flume; Density contrast; Geometry; Hydrology (agriculture); Physics; Flow (mathematics); Geomorphology; Turbulence; Oceanography; Geography; Mathematics; Computer science; Geotechnical engineering","score_opus":0.049757318741666216,"score_gpt":0.2970474179922815,"score_spread":0.2472900992506153,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4281774949","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99763656,0.00004033359,0.000035087087,0.0011176622,0.00003245849,0.0002781742,0.000048832262,0.000035165067,0.0007757057],"genre_scores_gemma":[0.99774504,0.0000072688267,0.0000839235,0.00018998685,0.00002945278,0.00006634746,0.000055027984,0.000011237168,0.0018117031],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99778414,0.00028479265,0.00018726413,0.00040806193,0.0008726571,0.00046307346],"domain_scores_gemma":[0.9994127,0.00017085964,0.000026418005,0.0002107732,0.00003226848,0.00014693594],"candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00050706865,0.00010452689,0.00013139009,0.00006910373,0.0016299865,0.00004354228,0.00031783656,0.000050211624,0.01077676],"category_scores_gemma":[0.00004377011,0.00008434834,0.000027602326,0.00024798582,0.00086361077,0.00017159074,0.00074755546,0.00033188518,0.0001504166],"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":[0.00035284838,0.00022518939,0.82891554,0.000019806454,0.00003852414,0.00010021865,0.023362052,0.08384971,0.061902173,0.00007163169,0.00074714527,0.00041514362],"study_design_scores_gemma":[0.0013934337,0.0005880364,0.2898526,0.000009131204,0.000043712713,0.000039989736,0.0006306594,0.033640355,0.014886142,0.001351557,0.65710944,0.00045496903],"about_ca_topic_score_codex":0.0011608297,"about_ca_topic_score_gemma":0.00028186184,"teacher_disagreement_score":0.6563623,"about_ca_system_score_codex":0.00012657666,"about_ca_system_score_gemma":0.000012681016,"threshold_uncertainty_score":0.99966973},"labels":[],"label_agreement":null},{"id":"W4282000129","doi":"10.1029/2021wr030582","title":"Optimizing the Management of Multireservoir Systems Under Shifting Flow Regimes","year":2022,"lang":"en","type":"article","venue":"Water Resources Research","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":"Université Laval","funders":"","keywords":"Computer science; Climate change; Hydrological modelling; Streamflow; Environmental science; Process (computing); Markov process; Hydrology (agriculture); Operations research; Drainage basin; Climatology; Mathematics; Geography; Engineering; Statistics; Geology","score_opus":0.041211381742687694,"score_gpt":0.26552456024766263,"score_spread":0.22431317850497495,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4282000129","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94507957,0.0023829269,0.0032452922,0.0007126934,0.0004047754,0.0015607879,0.000014660292,0.00041028092,0.04618903],"genre_scores_gemma":[0.9898726,0.00008784762,0.00096818194,0.000012359107,0.0000937631,0.00030578385,0.000037939673,0.000073728625,0.0085478425],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99708664,0.00039180074,0.00036037553,0.0002820534,0.001187052,0.0006920577],"domain_scores_gemma":[0.9991827,0.00007342626,0.000033686036,0.00058627356,0.00006248839,0.000061429695],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019826442,0.0001710707,0.00018936096,0.00036734663,0.0007778714,0.00022346561,0.0009805345,0.000037633064,0.00019233265],"category_scores_gemma":[0.0000032999535,0.00011352164,0.000077041695,0.0005725053,0.00011060033,0.000114889655,0.0012858657,0.00049477065,0.00003489815],"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":[0.000031839394,0.000024034029,0.000079622616,0.00039022334,0.0001846394,0.000021182259,0.009362155,0.98749095,0.00027186662,0.00023114226,0.0010722473,0.0008401171],"study_design_scores_gemma":[0.0004457889,0.000057422316,0.00012512588,0.00007664562,0.000025664716,0.0000038073854,0.014043218,0.8070768,0.0011539912,0.000092725975,0.17669575,0.00020306655],"about_ca_topic_score_codex":0.00011325926,"about_ca_topic_score_gemma":0.000002810989,"teacher_disagreement_score":0.18041414,"about_ca_system_score_codex":0.00014575938,"about_ca_system_score_gemma":0.000002526043,"threshold_uncertainty_score":0.59828365},"labels":[],"label_agreement":null},{"id":"W4283017994","doi":"10.1029/2021wr030997","title":"Upscaling Hydrological Processes for Land Surface Models With a Two‐Hydrologic‐Variable Model: Application to the Little Washita Watershed","year":2022,"lang":"en","type":"article","venue":"Water Resources Research","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":"Institut national des sciences de l'Univers; Centre National de la Recherche Scientifique; Université Laval","keywords":"Water balance; Watershed; Environmental science; Hydrology (agriculture); Water table; Scale (ratio); Conceptual model; Hydrological modelling; Geology; Climatology; Computer science; Groundwater; Geography","score_opus":0.04357790977325681,"score_gpt":0.29005444615144094,"score_spread":0.24647653637818412,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4283017994","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9515371,0.0000428134,0.025155935,0.016716205,0.0000162062,0.0018739115,0.000024637677,0.00009463153,0.004538603],"genre_scores_gemma":[0.991299,0.000008419989,0.0016639163,0.0007868566,0.000040117255,0.0019802838,0.000044194694,0.00002672773,0.0041505173],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9971207,0.0003160607,0.00020310275,0.0007133049,0.00066607574,0.0009808019],"domain_scores_gemma":[0.9992049,0.00017174441,0.000031153788,0.0004494425,0.000037892558,0.00010491435],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0028847796,0.00018298488,0.00020418866,0.000068037865,0.0020870988,0.000089025474,0.00094326143,0.000052810607,0.00020450965],"category_scores_gemma":[0.000034397897,0.00009219216,0.00003471185,0.00046268263,0.00035128117,0.00014374837,0.0020594047,0.00038220233,0.000116369636],"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":[0.00065899594,0.000095865515,0.006806146,0.000026329215,0.000032320786,0.000003092266,0.0053100027,0.9834704,0.0015075175,0.00014023703,0.0018669921,0.00008210279],"study_design_scores_gemma":[0.0007352568,0.00070484256,0.00006798662,0.000004172293,0.000024769422,0.0000066789294,0.00040844295,0.8224519,0.0013406932,0.020335065,0.15366444,0.0002557676],"about_ca_topic_score_codex":0.00049358245,"about_ca_topic_score_gemma":0.00012822764,"teacher_disagreement_score":0.1610185,"about_ca_system_score_codex":0.000121466874,"about_ca_system_score_gemma":0.000008507763,"threshold_uncertainty_score":0.999212},"labels":[],"label_agreement":null},{"id":"W4283366791","doi":"10.1029/2021wr031523","title":"Time to Update the Split‐Sample Approach in Hydrological Model Calibration","year":2022,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":221,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Calibration; Computer science; Sample (material); Robustness (evolution); Decision tree; Data mining; Hydrological modelling; Statistics; Mathematics","score_opus":0.04327461884392714,"score_gpt":0.2783297328831461,"score_spread":0.23505511403921897,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4283366791","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9712219,0.000009083437,0.00032687347,0.013485199,0.000008847857,0.0005197176,0.0000074094787,0.000028295337,0.014392669],"genre_scores_gemma":[0.9918156,0.000002756088,0.00028713528,0.0010329115,0.000018369177,0.0004630539,0.000027588578,0.000010304134,0.0063422415],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9974548,0.0006966225,0.00015513471,0.0004168355,0.00065417105,0.0006224366],"domain_scores_gemma":[0.99953806,0.00007560048,0.00001080153,0.00031137065,0.000003287004,0.000060905208],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0027016744,0.00009469267,0.00011179224,0.00011017036,0.00093496445,0.000042320225,0.00069152034,0.000034042394,0.0047750627],"category_scores_gemma":[0.000026263904,0.000053399097,0.00002936425,0.00036157152,0.00035847828,0.00008247826,0.0035543698,0.00044952758,0.0014552019],"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":[0.00016006091,0.00012938336,0.007216298,0.0000034807374,0.0000102632175,0.000011716433,0.008320325,0.9723008,0.0008200915,0.00013107779,0.010567223,0.00032923694],"study_design_scores_gemma":[0.00022268818,0.00014871809,0.0020732542,7.515886e-7,0.0000032114147,0.0000022592249,0.00041803374,0.8173074,0.00019179049,0.006640467,0.17285332,0.00013807023],"about_ca_topic_score_codex":0.0003456843,"about_ca_topic_score_gemma":0.000024973328,"teacher_disagreement_score":0.1622861,"about_ca_system_score_codex":0.00012212689,"about_ca_system_score_gemma":0.000001922159,"threshold_uncertainty_score":0.9993223},"labels":[],"label_agreement":null},{"id":"W4283765283","doi":"10.1029/2021wr030241","title":"How Do Vulnerable People in Bangladesh Experience Environmental Stress From Sedimentation in the Haor Wetlands? An Exploratory Study","year":2022,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Flood Risk Assessment and Management","field":"Environmental Science","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":"Memorial University of Newfoundland","funders":"","keywords":"Livelihood; Wetland; Geography; Agriculture; Population; Flood myth; Hydrology (agriculture); Environmental science; Water resource management; Environmental protection; Socioeconomics; Ecology; Geology","score_opus":0.03223469374033871,"score_gpt":0.29862678509378665,"score_spread":0.26639209135344794,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4283765283","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9976598,0.00004280378,0.0000045912584,0.00057339773,0.000056037028,0.0011220848,0.000020278118,0.000015187564,0.0005058078],"genre_scores_gemma":[0.9973892,0.000015557316,0.000031219985,0.000065940454,0.00004335007,0.0015720689,0.000112902475,0.000018980283,0.0007507997],"study_design_codex":"observational","study_design_gemma":"qualitative","domain_scores_codex":[0.9943303,0.0024121562,0.00021028056,0.0006152601,0.0018330609,0.0005989476],"domain_scores_gemma":[0.9992724,0.00009578809,0.000031805866,0.000523256,0.0000023324408,0.000074393065],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0025011774,0.00015294674,0.00014242044,0.00018976403,0.00071564654,0.00036043584,0.0010099409,0.000027354945,0.0031615042],"category_scores_gemma":[0.0000060485654,0.000104278624,0.000025946914,0.00042720282,0.00013618168,0.00059592596,0.00135977,0.00064266456,0.00007062206],"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":[0.00007517913,0.0013289817,0.68761206,0.0000024694907,0.000006050669,0.00008721408,0.30110297,0.002890346,0.0056614648,0.000001871813,0.0002962707,0.00093509647],"study_design_scores_gemma":[0.0012117662,0.00060185674,0.3068809,0.0000041065523,0.0000043935634,7.883288e-7,0.671837,0.001544584,0.0022156076,0.00010028424,0.015402642,0.0001961109],"about_ca_topic_score_codex":0.0061082635,"about_ca_topic_score_gemma":0.013441055,"teacher_disagreement_score":0.3807312,"about_ca_system_score_codex":0.00042906552,"about_ca_system_score_gemma":0.000004079612,"threshold_uncertainty_score":0.99774975},"labels":[],"label_agreement":null},{"id":"W4284679925","doi":"10.1029/2022wr032296","title":"Flow Strength and Bedload Sediment Travel Distance in Gravel Bed Rivers","year":2022,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Sediment Transport Processes","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":"Western University; McMaster University; University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Bed load; Stream power; Hydrology (agriculture); Geology; Hyperconcentrated flow; Environmental science; Flood myth; Sediment; Bedform; Sediment transport; Geotechnical engineering; Geomorphology; Geography","score_opus":0.020081409612713385,"score_gpt":0.2626379791026226,"score_spread":0.24255656948990922,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4284679925","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99460703,0.00014565627,0.0000204676,0.001013967,0.000030000614,0.00025081844,0.000024382218,0.00001644864,0.0038912534],"genre_scores_gemma":[0.9978362,0.00004519823,0.0001008554,0.000099709454,0.000014650141,0.000110021705,0.000032300308,0.000012335232,0.0017487867],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9975881,0.00026242973,0.00018909965,0.00047580284,0.00083867623,0.00064592075],"domain_scores_gemma":[0.9995966,0.000059636463,0.00001534059,0.00019620814,0.000005785861,0.00012643897],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0011759924,0.00012177507,0.00014691993,0.0001313744,0.00056743727,0.00002833869,0.0003879575,0.000047478534,0.0054845163],"category_scores_gemma":[0.000008139598,0.000096597556,0.0000258128,0.00030923774,0.0005085705,0.000105243555,0.00042980904,0.0005705669,0.00009408039],"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":[0.0014238782,0.0013702487,0.77729106,0.00013177632,0.00007452025,0.00084563537,0.12636824,0.02808212,0.03762639,0.00013825952,0.002531889,0.024116002],"study_design_scores_gemma":[0.005858044,0.0017049648,0.25291166,0.00004642334,0.000030856467,0.000047848538,0.00946158,0.028621785,0.0615497,0.006207741,0.6323411,0.0012183409],"about_ca_topic_score_codex":0.0008327439,"about_ca_topic_score_gemma":0.00042284574,"teacher_disagreement_score":0.6298092,"about_ca_system_score_codex":0.00014990244,"about_ca_system_score_gemma":0.0000070901897,"threshold_uncertainty_score":0.9954246},"labels":[],"label_agreement":null},{"id":"W4285011958","doi":"10.1029/2022wr032522","title":"Classifying Mixing Regimes in Ponds and Shallow Lakes","year":2022,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Coastal wetland ecosystem dynamics","field":"Environmental Science","cited_by":101,"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 Regina; Ducks Unlimited Canada","funders":"Water Resources Center, University of Minnesota; U.S. Forest Service; Macalester College; University of Missouri; University of Minnesota; Global Lake Ecological Observatory Network","keywords":"Stratification (seeds); Environmental science; Temperate climate; Waves and shallow water; Biogeochemical cycle; Convective mixing; Mixed layer; Hydrology (agriculture); Atmospheric sciences; Oceanography; Convection; Ecology; Geography; Geology; Meteorology","score_opus":0.03218854174961105,"score_gpt":0.27948535659491464,"score_spread":0.24729681484530358,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4285011958","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9732067,0.00007318196,0.0000030946098,0.00082613993,0.000029263208,0.00018625692,0.000005168713,0.000023680846,0.025646508],"genre_scores_gemma":[0.98903537,0.000010806893,0.000040396953,0.000028987975,0.00002163845,0.00007036147,0.000008214336,0.00001869561,0.010765553],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9976558,0.000385758,0.00017522387,0.00038380045,0.00077445304,0.0006249586],"domain_scores_gemma":[0.99955153,0.00009266683,0.00001649316,0.00023670474,0.000004634718,0.00009798706],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0019906256,0.00009320335,0.00012528565,0.000196737,0.00053881673,0.00011139817,0.00037069563,0.00003399638,0.0018759066],"category_scores_gemma":[0.000026965325,0.000072844145,0.000024899151,0.00034787157,0.0001440943,0.00012171388,0.0025731185,0.0004888768,0.00013746317],"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":[0.00014112346,0.000099200945,0.929962,0.00006601749,0.000010172785,0.00027294518,0.02294361,0.0039330106,0.033607483,0.000046450397,0.0009737838,0.007944248],"study_design_scores_gemma":[0.0015634162,0.00052221626,0.1706983,0.00008204348,0.0000060224893,0.00020478871,0.01701301,0.117777325,0.0013386299,0.0025537303,0.68748736,0.0007531723],"about_ca_topic_score_codex":0.0015611184,"about_ca_topic_score_gemma":0.0033335981,"teacher_disagreement_score":0.75926363,"about_ca_system_score_codex":0.00028175168,"about_ca_system_score_gemma":0.0000039249626,"threshold_uncertainty_score":0.9990365},"labels":[],"label_agreement":null},{"id":"W4285014506","doi":"10.1029/2021wr031793","title":"Pumping Optimization Under Uncertainty in an Island Freshwater Lens Using a Sharp‐Interface Seawater Intrusion Model","year":2022,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Groundwater flow and contamination studies","field":"Environmental Science","cited_by":28,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université Laval; Center for Northern Studies","funders":"","keywords":"MODFLOW; Aquifer; Groundwater; Interface (matter); Water pumping; Seawater intrusion; Saltwater intrusion; Environmental science; Computer science; Geology; Engineering; Geotechnical engineering; Groundwater flow; Mechanical engineering","score_opus":0.0785518725459746,"score_gpt":0.3259947289287204,"score_spread":0.2474428563827458,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4285014506","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9823415,0.000019970872,0.016017303,0.0006695249,0.000047045993,0.00035725074,0.00001617274,0.000034472403,0.00049675896],"genre_scores_gemma":[0.9935577,0.0000055394407,0.00042567536,0.00016105198,0.000032531712,0.00010682781,0.000051696137,0.000033574575,0.0056253998],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9966038,0.0006530223,0.00030285429,0.0006057099,0.0010498974,0.0007847305],"domain_scores_gemma":[0.99948186,0.000029444827,0.000030429508,0.00033506477,0.000039811344,0.0000833657],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0014722638,0.00017931622,0.00018571595,0.00028418857,0.0010110228,0.00020586979,0.00048758922,0.000057661637,0.0041381833],"category_scores_gemma":[0.000007743965,0.00013232615,0.00004204123,0.0003426327,0.00020810767,0.00053807657,0.002092849,0.00049011264,0.00008571439],"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":[0.00010701557,0.00008954971,0.006573457,0.0000074578793,0.000007306123,0.000012209138,0.017188633,0.937966,0.037488446,0.0000038244953,0.000107094515,0.00044900004],"study_design_scores_gemma":[0.0005142371,0.000111830894,0.00047719877,0.000011853063,0.0000041964877,0.000007487768,0.0024958097,0.9824045,0.0039488496,0.00015463014,0.0096562,0.00021322841],"about_ca_topic_score_codex":0.0033668773,"about_ca_topic_score_gemma":0.0044239187,"teacher_disagreement_score":0.04443847,"about_ca_system_score_codex":0.0007860474,"about_ca_system_score_gemma":0.000009389729,"threshold_uncertainty_score":0.99677217},"labels":[],"label_agreement":null},{"id":"W4289667323","doi":"10.1029/2022wr032109","title":"Effects of Gravity on Evaporation for Soil‐Limited Conditions","year":2022,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Soil and Unsaturated Flow","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Soil water; Evaporation; Geotechnical engineering; Water content; Soil science; Hydrostatic equilibrium; Moisture; Boundary (topology); Flow (mathematics); Geology; Environmental science; Mechanics; Mathematics; Geometry; Mathematical analysis; Physics; Thermodynamics; Meteorology","score_opus":0.028752361162578604,"score_gpt":0.2934907451513089,"score_spread":0.2647383839887303,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4289667323","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99770385,0.000068764435,0.00003800032,0.0001756372,0.000112547496,0.00045191753,0.000052417756,0.00009221298,0.0013046529],"genre_scores_gemma":[0.99857014,0.00000575997,0.000013897566,0.00001640197,0.00006342736,0.00045972312,0.00017360727,0.00002492984,0.0006720949],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9988573,0.00015001309,0.00012743981,0.00013827175,0.00042029156,0.00030666555],"domain_scores_gemma":[0.9994305,0.00026270017,0.000009465464,0.00016242133,0.00008516382,0.000049762242],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041514193,0.00007614466,0.0001090801,0.00028087824,0.00031592665,0.000026790143,0.00016484414,0.00004293458,0.000057066984],"category_scores_gemma":[0.000038927275,0.00006048778,0.000051675117,0.00033609403,0.000054276024,0.00003853255,0.000056501307,0.00033909813,0.000023282504],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00047166058,0.0002975087,0.00028240064,0.0008671889,0.00015433434,0.000028648741,0.0101357205,0.16783537,0.78942424,0.00060212106,0.024178442,0.0057223355],"study_design_scores_gemma":[0.00118328,0.0007300344,0.0020809383,0.000031233965,0.000015198511,0.0000030822607,0.00041982747,0.045396816,0.8336583,0.0027622012,0.11352383,0.00019526968],"about_ca_topic_score_codex":0.00007778675,"about_ca_topic_score_gemma":0.000011364858,"teacher_disagreement_score":0.12243856,"about_ca_system_score_codex":0.00006802144,"about_ca_system_score_gemma":0.0000062838144,"threshold_uncertainty_score":0.246662},"labels":[],"label_agreement":null},{"id":"W4290667669","doi":"10.1029/2021wr031674","title":"Long‐Term Simulation of Snow Cover and Its Potential Impacts on Seasonal Frost Dynamics in Croplands Across Southern Canada","year":2022,"lang":"en","type":"article","venue":"Water Resources Research","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":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Agriculture and Agri-Food Canada; McGill University","funders":"","keywords":"Environmental science; Snow; Frost (temperature); Snow cover; Hydrology (agriculture); Snowmelt; Air temperature; Atmospheric sciences; Global warming; Climate change; Climatology; Meteorology; Ecology; Geology; Geography","score_opus":0.04169234964688238,"score_gpt":0.3007867125905286,"score_spread":0.2590943629436462,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4290667669","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9860269,0.0002160488,5.943801e-7,0.00022848594,0.0000741703,0.00017209195,0.013027814,0.000004253409,0.00024968598],"genre_scores_gemma":[0.9950681,0.000022274458,2.958753e-7,0.000061919316,0.000072910974,0.0000021304038,0.0037941735,0.000006784455,0.0009714429],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9978199,0.00027188458,0.00017609388,0.00024839133,0.0009094383,0.00057430717],"domain_scores_gemma":[0.9994425,0.00020180317,0.00003244172,0.00013088412,0.00005451759,0.00013782455],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008227965,0.00010649512,0.00014928564,0.000100745536,0.00040238682,0.00009425863,0.00021529729,0.000045939414,0.0072926125],"category_scores_gemma":[0.000027461532,0.00007927436,0.000025109828,0.00019370043,0.00007351688,0.00007066181,0.00012318204,0.00036989638,0.000041490344],"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":[0.0006677151,0.000022867898,0.9155948,0.000050661045,0.000009024468,0.00015526832,0.0061421474,0.075700164,0.0002134219,2.468689e-7,0.00008868316,0.0013549925],"study_design_scores_gemma":[0.0007097949,0.00026173508,0.71497405,0.000029416002,0.0000026487223,0.000019370986,0.002345497,0.27978927,0.00025092746,0.000009658341,0.0014599253,0.00014769775],"about_ca_topic_score_codex":0.43037874,"about_ca_topic_score_gemma":0.8801517,"teacher_disagreement_score":0.44977292,"about_ca_system_score_codex":0.00006871421,"about_ca_system_score_gemma":0.00006077004,"threshold_uncertainty_score":0.99361485},"labels":[],"label_agreement":null},{"id":"W4290667681","doi":"10.1029/2021wr031584","title":"Denitrification‐Driven Transcription and Enzyme Production at the River‐Groundwater Interface: Insights From Reactive‐Transport Modeling","year":2022,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Wastewater Treatment and Nitrogen Removal","field":"Environmental Science","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 Waterloo","funders":"Deutsche Forschungsgemeinschaft","keywords":"Denitrification; Groundwater; Environmental science; Environmental chemistry; Chemistry; Nitrogen; Geology","score_opus":0.041928821545963384,"score_gpt":0.26542433585599495,"score_spread":0.22349551431003156,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4290667681","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.997509,0.0002607978,0.00006106697,0.0011425688,0.00007817645,0.0005652885,0.000012357494,0.000038723774,0.00033202983],"genre_scores_gemma":[0.9926904,0.00002929647,0.00015751368,0.00001832874,0.00007798171,0.00017795357,0.00012118323,0.000025607716,0.0067017754],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9973014,0.0005438837,0.000212204,0.00060540385,0.0009336493,0.00040345834],"domain_scores_gemma":[0.9994546,0.000030030124,0.000026048967,0.00038111187,0.000021646014,0.00008656762],"candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00050686643,0.00015766341,0.00012671699,0.00010336793,0.0015468968,0.000067982335,0.00035651142,0.000047554353,0.0013955471],"category_scores_gemma":[0.000004142695,0.000093444694,0.000056300156,0.00020473932,0.0003908161,0.0002784924,0.0004207536,0.00041623486,0.00029890807],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00045442,0.00012699579,0.005249734,0.000004778949,0.00004706842,0.000016340577,0.047262747,0.009524489,0.93645823,0.0000015684782,0.00016551283,0.000688103],"study_design_scores_gemma":[0.0007682518,0.0002677256,0.005298773,0.000011823076,0.000055847977,0.00005195806,0.003897143,0.011746859,0.9161314,0.0014590595,0.060001675,0.000309527],"about_ca_topic_score_codex":0.0044057365,"about_ca_topic_score_gemma":0.00047557917,"teacher_disagreement_score":0.059836164,"about_ca_system_score_codex":0.0004621738,"about_ca_system_score_gemma":0.000004459872,"threshold_uncertainty_score":0.99975294},"labels":[],"label_agreement":null},{"id":"W4290667764","doi":"10.1029/2022wr032182","title":"Causes and Factors of Cryogenic Extraction Biases on Isotopes of Xylem Water","year":2022,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Groundwater and Isotope Geochemistry","field":"Earth and Planetary Sciences","cited_by":41,"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":"Xylem; Deuterium; Extraction (chemistry); Isotope; Water extraction; Stable isotope ratio; Environmental chemistry; Environmental science; Chemistry; Hydrogen; Botany; Biology; Chromatography; Physics; Nuclear physics","score_opus":0.07122804027716832,"score_gpt":0.3000755041861647,"score_spread":0.22884746390899635,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4290667764","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9974026,0.00022376378,4.4405988e-7,0.0001291574,0.000048280857,0.00015511615,0.000100401645,0.000012297508,0.001927901],"genre_scores_gemma":[0.9972089,0.000033049168,0.000008629043,0.000012474713,0.000035810128,0.0000050344834,0.00015775565,0.0000054209986,0.0025329238],"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9980264,0.00029191672,0.00023946032,0.00027096106,0.0007417194,0.00042954634],"domain_scores_gemma":[0.9994137,0.00017702808,0.000030215366,0.00022843688,0.00006242263,0.000088164044],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007707394,0.00011128082,0.0001834771,0.00024263383,0.00034151095,0.000047010497,0.00027351404,0.000041576324,0.0066273133],"category_scores_gemma":[0.00003142794,0.00006288403,0.000055324013,0.00012996673,0.00022571122,0.00010105946,0.00012342657,0.00029735605,0.00003088108],"study_design_candidate":"bench_or_experimental","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":[0.00057143846,0.00014824234,0.6352417,0.00020849388,0.000073259274,0.00003296423,0.015153702,0.0022953795,0.34204742,0.000003292512,0.0005803784,0.0036437553],"study_design_scores_gemma":[0.00021220601,0.0006406381,0.08184743,0.000016604492,0.0000071765726,0.000015520052,0.003197444,0.00016407689,0.87968427,0.00013558628,0.033960104,0.0001189494],"about_ca_topic_score_codex":0.005887745,"about_ca_topic_score_gemma":0.00019414273,"teacher_disagreement_score":0.55339426,"about_ca_system_score_codex":0.0000074014024,"about_ca_system_score_gemma":0.000010772701,"threshold_uncertainty_score":0.99428076},"labels":[],"label_agreement":null},{"id":"W4291721206","doi":"10.1029/2021wr031236","title":"Differential Bank Migration Limits the Lifespan and Width of Braided Channel Threads","year":2022,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Sediment Transport Processes","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University; Geological Survey of Canada","funders":"University of Minnesota; National Science Foundation","keywords":"Thread (computing); Channel (broadcasting); Bank erosion; Geology; Physics; Erosion; Computer science; Geomorphology; Telecommunications","score_opus":0.03448123786514543,"score_gpt":0.2758839658104898,"score_spread":0.24140272794534437,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4291721206","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9950284,0.00010106844,0.00002097856,0.0033139375,0.000030006677,0.00021032992,0.0000065215822,0.000013337578,0.0012754193],"genre_scores_gemma":[0.9980234,0.00003932926,0.0000054706793,0.00009005963,0.00003308488,0.00006914856,0.00001909669,0.000008857437,0.001711583],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99825734,0.00031472035,0.0001500711,0.00024556284,0.00069447915,0.00033781212],"domain_scores_gemma":[0.99963146,0.00009024807,0.000022602944,0.00018766001,0.000010192857,0.00005784429],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00079384685,0.00007883966,0.00010193406,0.00006645361,0.0007048948,0.000024815008,0.00036386374,0.00003830549,0.004123726],"category_scores_gemma":[0.000013635887,0.000045292494,0.00003448328,0.00019409992,0.0005268789,0.00007952421,0.00033519018,0.0003327398,0.00003568481],"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":[0.0016176181,0.000906011,0.48681048,0.00016714323,0.00018691452,0.000059266946,0.15835643,0.009061525,0.32345986,0.00017668352,0.004262032,0.014936022],"study_design_scores_gemma":[0.002257053,0.0026070375,0.37560084,0.000029999625,0.00008167405,0.000054863704,0.0035436654,0.010178506,0.31314838,0.008829391,0.28301466,0.0006539331],"about_ca_topic_score_codex":0.00051010377,"about_ca_topic_score_gemma":0.0003078305,"teacher_disagreement_score":0.27875262,"about_ca_system_score_codex":0.000021044692,"about_ca_system_score_gemma":0.0000043281407,"threshold_uncertainty_score":0.99678665},"labels":[],"label_agreement":null},{"id":"W4293072545","doi":"10.1029/2022wr031943","title":"Effects of Geologic Setting on Contaminant Transport in Deltaic Aquifers","year":2022,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Groundwater flow and contamination 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":"Queen's University","funders":"National Science Foundation","keywords":"Aquifer; Groundwater; Sedimentary depositional environment; Geology; Groundwater flow; Hydrology (agriculture); Environmental science; Deposition (geology); Infiltration (HVAC); Groundwater model; Sediment; Geomorphology; Geotechnical engineering","score_opus":0.018670744429811717,"score_gpt":0.27000457911551673,"score_spread":0.251333834685705,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4293072545","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9972011,0.000054758202,0.000032496948,0.00034409738,0.000036595968,0.00037594023,0.0000028455374,0.000014197514,0.0019379561],"genre_scores_gemma":[0.99485236,0.000006449493,0.000013840608,0.00007668254,0.000009905523,0.00023138458,0.000006557149,0.000010449649,0.00479239],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9974702,0.00051346194,0.00022759843,0.00032136688,0.0009384128,0.0005289614],"domain_scores_gemma":[0.99955755,0.00019252217,0.000025196305,0.00016576228,0.000011547204,0.00004744029],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015861427,0.00010179273,0.00017449335,0.00019544807,0.00035970833,0.000010384904,0.00036013228,0.0000289367,0.00068964536],"category_scores_gemma":[0.000024022012,0.00007122911,0.00004657851,0.00031801415,0.00025636124,0.000053657157,0.0004949957,0.00036787463,0.0001061027],"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":[0.00043770016,0.00059662416,0.75931376,0.00013917693,0.00003325849,0.0005260287,0.061070602,0.004854335,0.13308392,0.00003546733,0.0004493304,0.039459802],"study_design_scores_gemma":[0.0014339541,0.001144662,0.7885747,0.000033502314,0.000008132573,0.00000767768,0.0047180085,0.00062893913,0.0977737,0.00019345841,0.10523548,0.0002477851],"about_ca_topic_score_codex":0.0016898554,"about_ca_topic_score_gemma":0.00021847257,"teacher_disagreement_score":0.10478615,"about_ca_system_score_codex":0.00021702639,"about_ca_system_score_gemma":0.0000039214397,"threshold_uncertainty_score":0.7551133},"labels":[],"label_agreement":null},{"id":"W4293572288","doi":"10.1029/2022wr032344","title":"Snowmelt Water Use at Transpiration Onset: Phenology, Isotope Tracing, and Tree Water Transit Time","year":2022,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":44,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wilfrid Laurier University; Université TÉLUQ; Université du Québec à Montréal; University of Winnipeg; Global Institute for Water Security; SKiN Health; Trent University; Université de Montréal; University of Saskatchewan","funders":"Natural Sciences and Engineering Research Council of Canada; American Geophysical Union","keywords":"Snowmelt; Transpiration; Environmental science; Xylem; Evergreen; Hydrology (agriculture); Growing season; Water content; Atmospheric sciences; Snow; Geology; Botany; Biology","score_opus":0.02556791823380769,"score_gpt":0.24435924007515378,"score_spread":0.2187913218413461,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4293572288","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99411094,0.000028443237,0.00002859726,0.0018587668,0.00003612533,0.00048346637,0.00007068957,0.00006146428,0.0033215247],"genre_scores_gemma":[0.9566592,0.00001608871,0.000046575187,0.00013097783,0.000025163516,0.00012653624,0.00036456145,0.00003958475,0.042591322],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.9965378,0.000636571,0.0003139511,0.0006266099,0.0008744067,0.0010106456],"domain_scores_gemma":[0.99937284,0.000047705827,0.0000151235245,0.00038035912,0.000014688061,0.00016930989],"candidate_categories":["sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0010459755,0.00021572525,0.0002154569,0.00021126494,0.0013231153,0.00017469822,0.00040095387,0.00011822016,0.011837243],"category_scores_gemma":[0.0000037132777,0.000126142,0.00007704439,0.00013558671,0.00043717716,0.0003249122,0.00070357637,0.0005958542,0.0016173832],"study_design_candidate":"bench_or_experimental","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":[0.0005733495,0.00023897963,0.02094207,0.000027437562,0.0000637803,0.00019860483,0.05716622,0.023135958,0.8922359,0.0000075503135,0.000926337,0.0044838106],"study_design_scores_gemma":[0.0019481322,0.00090732716,0.0076246625,0.000014016485,0.00005767771,0.00033890686,0.00033507682,0.043537714,0.23064715,0.00075620087,0.7129792,0.0008539096],"about_ca_topic_score_codex":0.00074925437,"about_ca_topic_score_gemma":0.0005468078,"teacher_disagreement_score":0.7120529,"about_ca_system_score_codex":0.00027850666,"about_ca_system_score_gemma":0.0000031399286,"threshold_uncertainty_score":0.99997705},"labels":[],"label_agreement":null},{"id":"W4293572415","doi":"10.1029/2022wr032796","title":"Experiments on the Sediment Transport Along Pool‐Riffle Unit","year":2022,"lang":"en","type":"article","venue":"Water Resources Research","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":false,"ca_institutions":"Simon Fraser University; University of British Columbia","funders":"","keywords":"Riffle; Flume; Bed load; Sediment; Hydrology (agriculture); Sediment transport; Channel (broadcasting); Texture (cosmology); Environmental science; Geology; Soil science; Flow (mathematics); Geomorphology; Geometry; Geotechnical engineering; Ecology; Mathematics; Habitat","score_opus":0.060216417359971186,"score_gpt":0.3083988206157227,"score_spread":0.24818240325575153,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4293572415","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96688795,0.000056418477,0.0000053315775,0.0038826498,0.00006437454,0.0004168324,0.000010314081,0.000045806595,0.028630313],"genre_scores_gemma":[0.98867464,0.000008666262,0.0000075642197,0.0009293962,0.000039473245,0.00040061906,0.000036130976,0.000024041537,0.009879489],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9963651,0.0004893896,0.00022609117,0.00047348178,0.001659247,0.00078672497],"domain_scores_gemma":[0.99928814,0.000108126624,0.000020550755,0.0004443222,0.000009985407,0.00012885022],"candidate_categories":["sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.002163469,0.00015600903,0.00013055575,0.00009506121,0.0017870144,0.000029046523,0.0009584918,0.00005076673,0.05305781],"category_scores_gemma":[0.0000066408024,0.000091723516,0.000064367516,0.0003535113,0.00047467183,0.000088620356,0.00034587007,0.00080129725,0.0014641209],"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":[0.0031580674,0.0041308785,0.51859146,0.00008210937,0.00038631656,0.0018491175,0.22832797,0.07875091,0.1302023,0.0009299431,0.027738467,0.0058524865],"study_design_scores_gemma":[0.00047369557,0.0005622408,0.010323607,0.0000060476987,0.00000855837,0.000011234411,0.0023468153,0.00024258016,0.096902214,0.0004159433,0.8884972,0.0002099019],"about_ca_topic_score_codex":0.0007646432,"about_ca_topic_score_gemma":0.00004358399,"teacher_disagreement_score":0.8607587,"about_ca_system_score_codex":0.00011907414,"about_ca_system_score_gemma":0.000010106573,"threshold_uncertainty_score":0.9995125},"labels":[],"label_agreement":null},{"id":"W4294775290","doi":"10.1029/2021wr031814","title":"Predictive Soft Computing Methods for Building Digital Rock Models Verified by Positron Emission Tomography Experiments","year":2022,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Enhanced Oil Recovery Techniques","field":"Engineering","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":"Memorial University of Newfoundland","funders":"","keywords":"Petrophysics; Workflow; Computer science; Artificial intelligence; Scale (ratio); Data mining; Algorithm; Computational science; Geology; Physics; Porosity; Geotechnical engineering","score_opus":0.03673380279398124,"score_gpt":0.3676872298537469,"score_spread":0.33095342705976566,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4294775290","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.45874733,0.0008295203,0.536997,0.000018788396,0.00009104097,0.0006183648,0.000073681076,0.0005828707,0.0020414034],"genre_scores_gemma":[0.9747582,0.00001266472,0.023898058,0.000011425577,0.0000651776,0.0004852962,0.00009390979,0.0001075623,0.0005676979],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9974964,0.00027075547,0.00029571433,0.00044759523,0.000632337,0.0008571686],"domain_scores_gemma":[0.99912363,0.0003058387,0.000025277168,0.00030883768,0.00009032327,0.00014610644],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001189396,0.00021381854,0.0002433756,0.00041006098,0.00062382675,0.00023038726,0.0005732599,0.00009104228,0.00003180352],"category_scores_gemma":[0.000038473532,0.00019283521,0.00012982215,0.00033004832,0.00004117369,0.00033014442,0.000689619,0.0006288327,0.0000020475811],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024301144,0.00007105537,0.00007436946,0.00009760435,0.00009929787,0.000002937,0.0055785393,0.09882114,0.86370254,0.0000114917,0.004467443,0.026830588],"study_design_scores_gemma":[0.00022980697,0.0002669202,0.0000029920955,0.000031629686,0.0000035129324,0.0000027092735,0.00037123833,0.33848935,0.6239099,0.0014858193,0.03502769,0.00017839923],"about_ca_topic_score_codex":0.000019996627,"about_ca_topic_score_gemma":8.600741e-8,"teacher_disagreement_score":0.5160109,"about_ca_system_score_codex":0.0003278453,"about_ca_system_score_gemma":0.000008344193,"threshold_uncertainty_score":0.7863592},"labels":[],"label_agreement":null},{"id":"W4296079207","doi":"10.1029/2022wr032429","title":"Integration of Deep Learning and Information Theory for Designing Monitoring Networks in Heterogeneous Aquifer Systems","year":2022,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Groundwater flow and contamination studies","field":"Environmental Science","cited_by":43,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Petro-Canada","funders":"National Natural Science Foundation of China","keywords":"Computer science; Data mining; Entropy (arrow of time); Hotspot (geology); Aquifer; Mathematical optimization; Groundwater; Engineering; Mathematics; Geology","score_opus":0.02693286557279278,"score_gpt":0.28166739434211285,"score_spread":0.25473452876932007,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4296079207","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9675809,0.0002448955,0.03154224,0.000019433974,0.00004865659,0.0003285505,7.415073e-7,0.000010405186,0.00022413867],"genre_scores_gemma":[0.9989667,0.000018048695,0.000085798696,0.0000039601528,0.00002087697,0.0003140727,0.000008413415,0.0000064270353,0.00057571405],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985992,0.00045410686,0.00020326264,0.00012237443,0.0003682527,0.00025286005],"domain_scores_gemma":[0.99969167,0.00016226186,0.000033267926,0.000062476676,0.00002508797,0.000025258782],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022810511,0.00006023094,0.00009502788,0.0001459287,0.00042946578,0.00007280486,0.00011151353,0.000024491888,0.000044293378],"category_scores_gemma":[0.000036691643,0.00004613926,0.000017467295,0.0001466681,0.00007888757,0.000263333,0.00036951955,0.00020572498,0.0000043881532],"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":[0.00040590734,0.000045722467,0.14741915,0.000082046776,0.000030103913,0.0000047484373,0.08106066,0.4763156,0.040287368,0.00011477225,0.000016463879,0.25421745],"study_design_scores_gemma":[0.0023548629,0.0015885591,0.05306241,0.00012410314,0.000023183637,0.000037598307,0.10958606,0.6488448,0.048213087,0.000508093,0.13502887,0.00062842114],"about_ca_topic_score_codex":0.00021486043,"about_ca_topic_score_gemma":0.000012822606,"teacher_disagreement_score":0.25358903,"about_ca_system_score_codex":0.000135445,"about_ca_system_score_gemma":0.0000010786514,"threshold_uncertainty_score":0.3303147},"labels":[],"label_agreement":null},{"id":"W4296128755","doi":"10.1029/2021wr031908","title":"Characterization of Liquid‐Vapor Interfaces in Pores During Evaporation","year":2022,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Soil and Unsaturated Flow","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Geomechanica (Canada)","funders":"National Natural Science Foundation of China","keywords":"Materials science; Saturation (graph theory); Evaporation; Curvature; Porous medium; Vapor pressure; Microscale chemistry; Capillary pressure; Soil vapor extraction; Vaporization; Capillary action; Porosity; Chemical physics; Thermodynamics; Composite material; Chemistry; Geometry; Physics","score_opus":0.02514133668022829,"score_gpt":0.2652542455536737,"score_spread":0.24011290887344544,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4296128755","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99877256,0.00009686794,0.0000033244153,0.00010805601,0.00008706722,0.00016719617,0.000011979688,0.00006832769,0.0006846224],"genre_scores_gemma":[0.9991716,0.00003472143,0.0000059443514,0.0000031557233,0.000051310017,0.000083944804,0.000086796754,0.000024525873,0.0005380046],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99869406,0.00016538508,0.00023937241,0.0001491975,0.00044114437,0.00031083619],"domain_scores_gemma":[0.99972034,0.000018855424,0.000016453076,0.00015857736,0.00005158915,0.0000341823],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005327971,0.000080086334,0.000118598,0.00040309547,0.00011685527,0.000035096222,0.00021377728,0.00004163939,0.00030193594],"category_scores_gemma":[0.000012632981,0.00006683675,0.000020949341,0.0004233524,0.000040749255,0.00012962687,0.00015909897,0.00040073515,0.00001672499],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018144697,0.000026786833,0.0011810906,0.00008566809,0.00001010868,0.000013119357,0.008452544,0.010081859,0.9794547,0.0000045613488,0.000021168556,0.00048692818],"study_design_scores_gemma":[0.0002750628,0.0001310085,0.008606182,0.000027887612,0.000001375165,0.000004586696,0.0007093762,0.0071202717,0.97794855,0.000022475575,0.005052156,0.000101073056],"about_ca_topic_score_codex":0.00007144962,"about_ca_topic_score_gemma":0.000019773675,"teacher_disagreement_score":0.007743168,"about_ca_system_score_codex":0.00009928094,"about_ca_system_score_gemma":0.0000062793715,"threshold_uncertainty_score":0.33059868},"labels":[],"label_agreement":null},{"id":"W4296204446","doi":"10.1029/2022wr032720","title":"Impact of Density Gradients on the Secondary Flow Structure of a River Confluence","year":2022,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Sediment Transport Processes","field":"Environmental Science","cited_by":20,"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 Sherbrooke; Collège de Maisonneuve","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Confluence; Froude number; Front (military); Tributary; Secondary circulation; Flow (mathematics); Geology; Vortex; Geometry; Open-channel flow; Clockwise; Mechanics; Lagrangian coherent structures; Channel (broadcasting); Secondary flow; Turbulence; Physics; Rotation (mathematics); Mathematics; Geography; Telecommunications","score_opus":0.021573428157099978,"score_gpt":0.28138737942759456,"score_spread":0.25981395127049456,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4296204446","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9983794,0.000019793644,0.0000015269326,0.0001505246,0.000016318725,0.00018429697,0.00007012072,0.0000055645046,0.00117243],"genre_scores_gemma":[0.99959606,0.000003169874,0.000013071929,0.00005676188,0.0000069040693,0.000008185823,0.00001195178,0.0000065774284,0.00029729103],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9981568,0.00035044187,0.00015105127,0.00022629178,0.0007847745,0.0003306356],"domain_scores_gemma":[0.9994995,0.00010537966,0.000032704902,0.00028834114,0.000019665444,0.00005439917],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006803215,0.00008266766,0.00012922009,0.00006739946,0.00038560317,0.000006287494,0.00057702407,0.000037272406,0.019816825],"category_scores_gemma":[0.000018956842,0.000043517666,0.00006709729,0.0002301789,0.0009567641,0.0000522234,0.00033922316,0.00052649167,0.000038829265],"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":[0.00096353126,0.00029188226,0.6746617,0.000042901145,0.00010873463,0.00004602062,0.038463905,0.035433464,0.24688847,0.000026913876,0.0012459495,0.0018265365],"study_design_scores_gemma":[0.00067846593,0.0017891121,0.7806307,0.000013525275,0.000014284446,0.000017596434,0.00038263237,0.0011120411,0.198461,0.0026703782,0.0140459025,0.00018435567],"about_ca_topic_score_codex":0.001053521,"about_ca_topic_score_gemma":0.000047154368,"teacher_disagreement_score":0.10596902,"about_ca_system_score_codex":0.0000649863,"about_ca_system_score_gemma":0.000013287799,"threshold_uncertainty_score":0.9810792},"labels":[],"label_agreement":null},{"id":"W4296204817","doi":"10.1029/2021wr031058","title":"Conjunctive Water Management for Agriculture With Groundwater Salinity","year":2022,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Water resources management and optimization","field":"Engineering","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":"Canada Excellence Research Chairs, Government of Canada","keywords":"Groundwater recharge; Groundwater; Conjunctive use; Environmental science; Aquifer; Hydrology (agriculture); Surface water; Water resource management; Waterlogging (archaeology); Arid; Soil salinity control; Soil salinity; Groundwater model; Water resources; Environmental engineering; Geology; Soil science; Soil water; Leaching model; Wetland; Ecology","score_opus":0.02452362146257526,"score_gpt":0.24648244249317147,"score_spread":0.22195882103059622,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4296204817","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.947173,0.00010051223,0.0040688594,0.00079212897,0.00023788399,0.0028284395,0.000031602627,0.00056598865,0.04420159],"genre_scores_gemma":[0.9690155,0.000012148587,0.0005856751,0.00007466638,0.0001816101,0.0016547755,0.00050774496,0.00009566888,0.027872236],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.99728435,0.00019009331,0.0002319882,0.00042320284,0.000873928,0.0009964171],"domain_scores_gemma":[0.9993888,0.000029938185,0.000012405142,0.00035401326,0.00011220699,0.00010259698],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009718218,0.00024026466,0.00020439137,0.00040138856,0.0008743344,0.00027539613,0.00052863033,0.000051969695,0.0006860437],"category_scores_gemma":[0.0000016975396,0.00012870439,0.000076575714,0.0002660415,0.00009625029,0.00016528301,0.00061412086,0.00044351537,0.00012402494],"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":[0.0020172857,0.0005143096,0.0010091504,0.0014055201,0.0014292322,0.00025723028,0.050832298,0.8725548,0.010581084,0.00062068086,0.055246353,0.003532062],"study_design_scores_gemma":[0.001343011,0.00048409056,0.00017800476,0.000014808503,0.00004082525,0.000008329921,0.0027715294,0.006918709,0.023662461,0.0005675921,0.96363086,0.00037980883],"about_ca_topic_score_codex":0.000035921683,"about_ca_topic_score_gemma":0.000017101085,"teacher_disagreement_score":0.9083845,"about_ca_system_score_codex":0.00020336852,"about_ca_system_score_gemma":0.0000015738435,"threshold_uncertainty_score":0.75116974},"labels":[],"label_agreement":null},{"id":"W4296907490","doi":"10.1029/2022wr032678","title":"Climate‐Driven Variations in Nitrogen Retention From a Riverine Submerged Aquatic Vegetation Meadow","year":2022,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Soil and Water Nutrient Dynamics","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":"Environment and Climate Change Canada; Concordia University; Université de Montréal","funders":"","keywords":"Environmental science; Tributary; Biomass (ecology); Denitrification; Hydrology (agriculture); Ecosystem; Aquatic ecosystem; Vegetation (pathology); Nitrogen; Atmospheric sciences; Ecology; Biology; Geography; Chemistry","score_opus":0.030879928139367876,"score_gpt":0.26908199941503613,"score_spread":0.23820207127566825,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4296907490","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9974762,0.0000245934,0.000051615916,0.00045593502,0.00007391115,0.0003720698,0.000024722573,0.000039362527,0.0014815937],"genre_scores_gemma":[0.99883664,0.00002078128,0.00027984622,0.00003183375,0.000035249315,0.00026763094,0.00031285814,0.000021637701,0.00019354666],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9968287,0.0007725564,0.00027888425,0.00042635857,0.001087001,0.000606514],"domain_scores_gemma":[0.9994967,0.000057917114,0.000038178656,0.00030491987,0.000012479411,0.00008980364],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0011864984,0.00011099364,0.00013206711,0.0002325817,0.00056592433,0.000068864676,0.0004222016,0.000044447752,0.00092337927],"category_scores_gemma":[0.000032682638,0.00009343038,0.00005292206,0.0006076807,0.00012729333,0.00018192439,0.0009810553,0.00041421488,0.0007178961],"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":[0.00012011562,0.00017490849,0.9701894,0.000008831051,0.000012122313,0.00003065735,0.010464716,0.008107994,0.008949726,0.000023906561,0.00007977513,0.0018378629],"study_design_scores_gemma":[0.0025026163,0.0004418008,0.5047259,0.00003547864,0.000029801413,0.000009066522,0.0018977036,0.38992655,0.0040990557,0.07693465,0.018842436,0.00055493665],"about_ca_topic_score_codex":0.0058965315,"about_ca_topic_score_gemma":0.00062298164,"teacher_disagreement_score":0.4654635,"about_ca_system_score_codex":0.00048221197,"about_ca_system_score_gemma":0.0000050429753,"threshold_uncertainty_score":0.9999899},"labels":[],"label_agreement":null},{"id":"W4297092694","doi":"10.1029/2022wr031950","title":"Where and When Does Streamflow Regulation Significantly Affect Climate Change Outcomes in the Columbia River Basin?","year":2022,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"National Science Foundation","keywords":"Streamflow; Tributary; Climate change; Structural basin; Environmental science; Drainage basin; Hydrology (agriculture); Climatology; Water resources; Snowmelt; Snow; Geography; Geology; Ecology; Meteorology; Oceanography","score_opus":0.03330008180540384,"score_gpt":0.2790352746985581,"score_spread":0.24573519289315426,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4297092694","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9883717,0.000044936223,6.5251686e-7,0.007754904,0.00003446705,0.0007374154,0.000014923579,0.000020048028,0.0030209785],"genre_scores_gemma":[0.995774,0.000080896236,0.000022942695,0.00028404602,0.00002581383,0.00042348384,0.000009574973,0.000010974421,0.0033682932],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.997054,0.001183618,0.00013788823,0.00037391455,0.0006718373,0.0005787507],"domain_scores_gemma":[0.99950093,0.00015999,0.000021818405,0.00027520003,0.0000049149053,0.000037128622],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0027242566,0.00010209788,0.0001488207,0.000094682626,0.0011572565,0.00010740616,0.0003975924,0.000034898752,0.0022477552],"category_scores_gemma":[0.000014934171,0.00005901239,0.000031354833,0.00016585436,0.0005181198,0.00015560038,0.0014836156,0.00032394766,0.00010741995],"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":[0.000058957445,0.00008215378,0.95062375,0.000026220852,0.00001618644,0.00004087601,0.04432392,0.00009078512,0.00023739632,0.000011461561,0.0027648017,0.0017234966],"study_design_scores_gemma":[0.00041841395,0.000213493,0.9190543,0.0000076561755,0.000009740569,0.0000023719444,0.0041622026,0.00032716696,0.00007571849,0.002002104,0.07359612,0.00013068301],"about_ca_topic_score_codex":0.007436828,"about_ca_topic_score_gemma":0.0077007567,"teacher_disagreement_score":0.070831314,"about_ca_system_score_codex":0.000081834994,"about_ca_system_score_gemma":7.987097e-7,"threshold_uncertainty_score":0.99917275},"labels":[],"label_agreement":null},{"id":"W4297093131","doi":"10.1029/2021wr031913","title":"Upscaling Hillslope‐Scale Subsurface Flow to Inform Catchment‐Scale Recession Behavior","year":2022,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Groundwater recharge; Geology; Hydrograph; Structural basin; Subsurface flow; Flow (mathematics); Hydrology (agriculture); Geotechnical engineering; Drainage basin; Geomorphology; Mechanics; Aquifer; Groundwater; Geography","score_opus":0.03317562424962596,"score_gpt":0.31201156086812804,"score_spread":0.2788359366185021,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4297093131","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97378093,0.00002846578,0.000031206193,0.0060555283,0.00015475995,0.0007412912,0.000014358666,0.000077286735,0.019116154],"genre_scores_gemma":[0.9644598,0.000014710581,0.00045684807,0.00056346715,0.000045284505,0.0006491088,0.000038265127,0.000028481245,0.03374405],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9962139,0.00038092537,0.0002892887,0.0006066027,0.001412604,0.0010966953],"domain_scores_gemma":[0.9992318,0.000041336145,0.000027182166,0.00048784097,0.000018515057,0.00019333973],"candidate_categories":["sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0022862144,0.00018642354,0.00020597702,0.00020150322,0.002621938,0.00008484581,0.0008731684,0.000062098334,0.008653712],"category_scores_gemma":[0.000015400843,0.00013826786,0.00006504294,0.00065246143,0.0002990554,0.00018701104,0.005450153,0.0006144629,0.0030936834],"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":[0.0006924168,0.00077914406,0.6307945,0.000054929227,0.00006609563,0.00017478513,0.13045976,0.0714496,0.037330415,0.000004167639,0.10501544,0.023178712],"study_design_scores_gemma":[0.00041803365,0.00035578987,0.016983036,0.000008716265,0.0000152170405,0.0000062836484,0.0031141294,0.00069681567,0.015439877,0.000106011765,0.96255326,0.00030282896],"about_ca_topic_score_codex":0.00089259085,"about_ca_topic_score_gemma":0.00026809578,"teacher_disagreement_score":0.8575378,"about_ca_system_score_codex":0.00037950525,"about_ca_system_score_gemma":0.0000036409956,"threshold_uncertainty_score":0.99867654},"labels":[],"label_agreement":null},{"id":"W4297359538","doi":"10.1029/2022wr032961","title":"The Age of Evapotranspiration: Lower‐Bound Constraints From Distributed Water Fluxes Across the Continental United States","year":2022,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada; Oak Ridge Institute for Science and Education; Simon Fraser University; Canada Foundation for Innovation","keywords":"Evapotranspiration; Water mass; Precipitation; Flux (metallurgy); Environmental science; Water balance; Arid; Mediterranean climate; Climatology; Hydrology (agriculture); Physical geography; Geology; Atmospheric sciences; Geography; Meteorology; Oceanography; Ecology; Paleontology","score_opus":0.021788461882764044,"score_gpt":0.2731410562303891,"score_spread":0.251352594347625,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4297359538","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9957242,0.000038405768,0.000045624805,0.0018057277,0.00008450763,0.000359464,0.0013133555,0.000021851458,0.00060684705],"genre_scores_gemma":[0.9946006,0.000023385372,0.000006292229,0.000074807,0.000026773241,0.00007864377,0.003072899,0.000015281896,0.0021012991],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.99691856,0.0006655967,0.00032683733,0.00028860217,0.0011185296,0.00068188267],"domain_scores_gemma":[0.9991773,0.00026525563,0.000035105728,0.00042531965,0.000031575055,0.00006545214],"candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0017097907,0.00013464956,0.00013218621,0.00004045902,0.0021921692,0.00026565234,0.0008659122,0.000045436638,0.0021427725],"category_scores_gemma":[0.0000143743655,0.000060251466,0.00007533163,0.0003001956,0.002031525,0.000085611675,0.0009382176,0.0005370915,0.00011551396],"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":[0.0018578998,0.0007462746,0.1093249,0.000030568626,0.00043628272,0.00044592223,0.13697523,0.24473791,0.4968226,0.00017812985,0.0037254035,0.0047188746],"study_design_scores_gemma":[0.0009911774,0.0002951729,0.011916675,0.000011850171,0.000020588148,0.000024441313,0.0048272596,0.027068473,0.023156503,0.0021822897,0.92921376,0.0002918256],"about_ca_topic_score_codex":0.0035649429,"about_ca_topic_score_gemma":0.0006310906,"teacher_disagreement_score":0.92548835,"about_ca_system_score_codex":0.00012812618,"about_ca_system_score_gemma":0.0000054683346,"threshold_uncertainty_score":0.9991068},"labels":[],"label_agreement":null},{"id":"W4297982332","doi":"10.1029/2022wr032353","title":"The Impact of Ice Sheet Geometry on Meltwater Ingress and Reactive Solute Transport in Sedimentary Basins","year":2022,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick; University of British Columbia","funders":"","keywords":"Meltwater; Geology; Ice sheet; Ice stream; Geomorphology; Antarctic ice sheet; Ice divide; Melt pond; Geometry; Cryosphere; Glacial period; Oceanography; Sea ice","score_opus":0.04426922215838318,"score_gpt":0.30219313578286294,"score_spread":0.25792391362447975,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4297982332","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9964093,0.00048033058,5.2687466e-7,0.0011850557,0.000046495763,0.00021395274,0.00022099853,0.0000064184483,0.0014369288],"genre_scores_gemma":[0.9991055,0.0001429753,0.000009143683,0.000044880104,0.000037922906,0.000011148081,0.000039169994,0.0000044974167,0.00060473895],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9982211,0.00027276875,0.00018931156,0.00022992476,0.0006049382,0.00048194986],"domain_scores_gemma":[0.9990904,0.0005966334,0.000025468215,0.00018438684,0.000037738504,0.00006541733],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0014145306,0.00009198013,0.00013670551,0.00012335546,0.0007848236,0.000030038462,0.0002693639,0.000022110053,0.0013379714],"category_scores_gemma":[0.000021938551,0.00004387289,0.000051589745,0.00038395525,0.00022946036,0.00007535958,0.00009095192,0.00033376904,0.000009963159],"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":[0.0005788369,0.000042440042,0.97555256,0.00000880003,0.00006377668,0.000030427875,0.008314551,0.004430208,0.00022336474,0.000003992926,0.0005999234,0.0101510985],"study_design_scores_gemma":[0.00030393092,0.0004655722,0.96324533,0.000010385925,0.0000028763686,0.0000026525652,0.0031211146,0.00069612986,0.00028178107,0.000159184,0.031636316,0.00007469807],"about_ca_topic_score_codex":0.026495982,"about_ca_topic_score_gemma":0.0032665217,"teacher_disagreement_score":0.031036392,"about_ca_system_score_codex":0.000031845026,"about_ca_system_score_gemma":0.000018020899,"threshold_uncertainty_score":0.99957496},"labels":[],"label_agreement":null},{"id":"W4297983672","doi":"10.1029/2022wr032219","title":"Remote Sensing of Groundwater: Current Capabilities and Future Directions","year":2022,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Groundwater and Watershed Analysis","field":"Environmental Science","cited_by":85,"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":"California Institute of Technology; Jet Propulsion Laboratory; National Aeronautics and Space Administration","keywords":"Groundwater; Remote sensing; Environmental science; Satellite; Interferometric synthetic aperture radar; Current (fluid); Synthetic aperture radar; Geology; Hydrology (agriculture); Engineering; Geotechnical engineering","score_opus":0.025868512593190326,"score_gpt":0.2832076075670664,"score_spread":0.2573390949738761,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4297983672","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99594563,0.0003577661,0.000034191027,0.0010507276,0.00010930045,0.00015305832,0.0000068829345,0.000027863263,0.0023145527],"genre_scores_gemma":[0.9967016,0.00013955512,0.00018158053,0.000015330832,0.00012387766,0.0000049724626,0.00001498434,0.000017620223,0.0028005028],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.997305,0.0006254019,0.00023429727,0.00040022578,0.000910805,0.0005242976],"domain_scores_gemma":[0.9994547,0.00004948103,0.000024843737,0.0003385734,0.00002411708,0.00010830587],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0013202579,0.00012129372,0.00018315107,0.00022333498,0.0009518471,0.00008301027,0.00026143776,0.000028725231,0.0019312417],"category_scores_gemma":[0.000007681627,0.00008432319,0.000071272516,0.00039581655,0.0005185871,0.00011163257,0.0012370178,0.00043459688,0.000051637293],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021392558,0.00027215376,0.039294943,0.00019722203,0.00012178067,0.00004585642,0.16657576,0.00063841965,0.05587144,0.000029610963,0.001693587,0.7350453],"study_design_scores_gemma":[0.00020370109,0.00017782746,0.003904213,0.0000073344145,0.00001807055,0.000037313235,0.0062665553,0.001677441,0.007270282,0.002188376,0.97806823,0.00018065759],"about_ca_topic_score_codex":0.009523204,"about_ca_topic_score_gemma":0.00024370108,"teacher_disagreement_score":0.9763746,"about_ca_system_score_codex":0.0001949662,"about_ca_system_score_gemma":0.0000036178828,"threshold_uncertainty_score":0.9989811},"labels":[],"label_agreement":null},{"id":"W4304777498","doi":"10.1029/2022wr033181","title":"Saturated Hydraulic Conductivity in Northern Peats Inferred From Other Measurements","year":2022,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Peatlands and Wetlands Ecology","field":"Environmental Science","cited_by":59,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University; Université du Québec à Montréal; Athabasca University; Brandon University; Université Laval; Université du Québec en Abitibi-Témiscamingue; University of Waterloo","funders":"Natural Environment Research Council; Natural Sciences and Engineering Research Council of Canada; Fonds de recherche du Québec; Sight Research UK; Environment Agency; Natural Resources Wales","keywords":"Peat; Humus; Bog; Soil science; Hydraulic conductivity; Bulk density; Environmental science; Pedotransfer function; Hydrology (agriculture); Geology; Ecology; Soil water; Geotechnical engineering","score_opus":0.08760729152916877,"score_gpt":0.309814480398268,"score_spread":0.2222071888690992,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4304777498","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9843447,0.00003820198,0.0000011441829,0.00070539466,0.000056644047,0.00028444466,0.00001888357,0.000026214504,0.014524361],"genre_scores_gemma":[0.9977486,0.0000020064604,0.000010343834,0.00015275039,0.000043432014,0.0001274056,0.000059731858,0.000021387534,0.0018343166],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99657065,0.0010463211,0.00019999783,0.00048174916,0.0009973585,0.0007039167],"domain_scores_gemma":[0.999439,0.000069109854,0.000026438891,0.00034244437,0.000013659867,0.000109318855],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0015405419,0.00012714433,0.00018122527,0.00014314348,0.00041248466,0.000054832857,0.0005302136,0.00005960289,0.009489531],"category_scores_gemma":[0.000036782996,0.00009290191,0.000038512153,0.0003754758,0.00020314836,0.00010425127,0.0010860012,0.00060378195,0.0006941657],"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":[0.00014600714,0.00016425019,0.9280732,0.0000016511144,0.000014620733,0.0000453382,0.004515602,0.0012083458,0.06380883,2.7080588e-7,0.0008794966,0.0011423717],"study_design_scores_gemma":[0.0013764559,0.00023001166,0.75309485,0.0000050552862,0.000003652892,0.000006344322,0.00052212115,0.00059905555,0.006746897,0.0007126028,0.23645385,0.00024910932],"about_ca_topic_score_codex":0.02415704,"about_ca_topic_score_gemma":0.034360006,"teacher_disagreement_score":0.23557435,"about_ca_system_score_codex":0.00046685798,"about_ca_system_score_gemma":0.000010452277,"threshold_uncertainty_score":0.9914159},"labels":[],"label_agreement":null},{"id":"W4306411802","doi":"10.1029/2022wr032614","title":"Vertical Saltwater Intrusion in Coastal Aquifers Driven by Episodic Flooding: A Review","year":2022,"lang":"en","type":"review","venue":"Water Resources Research","topic":"Coastal and Marine Dynamics","field":"Earth and Planetary Sciences","cited_by":146,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University; Dalhousie University","funders":"Canada Research Chairs; Marine Environmental Observation Prediction and Response Network; American Geophysical Union; National Science Foundation","keywords":"Saltwater intrusion; Aquifer; Vulnerability assessment; Coastal flood; Hydrology (agriculture); Hydrogeology; Climate change; Flooding (psychology); Soil salinity; Environmental science; Groundwater; Oceanography; Geology; Salinity; Sea level rise; Psychological resilience","score_opus":0.06736557966043259,"score_gpt":0.3283780031335696,"score_spread":0.26101242347313697,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4306411802","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.002540667,0.99040824,8.11942e-7,0.000295732,0.0001669107,0.0013046123,0.00033758546,0.000046215155,0.004899234],"genre_scores_gemma":[0.00025056963,0.9913409,0.000012557024,0.000097123964,0.00011600967,0.00006617939,0.004923301,0.000031697055,0.0031616606],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9933924,0.0018785961,0.00086149137,0.0009049188,0.0015322792,0.0014303131],"domain_scores_gemma":[0.99850166,0.00047610456,0.000053305022,0.00056061306,0.00004164768,0.00036664517],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0025572157,0.0004632781,0.0014292017,0.0006428654,0.0003723234,0.00018344328,0.0012406477,0.0002268482,0.016551698],"category_scores_gemma":[0.00017369499,0.00028363598,0.00035126437,0.00092062657,0.0003094003,0.00013521848,0.0011569172,0.002271036,0.0012780814],"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":[0.00003799901,0.00005111919,0.00091260474,0.01585154,0.000034176628,0.00024253145,0.0002431633,0.000008395176,6.8733544e-7,0.0000019436548,0.0035044134,0.97911143],"study_design_scores_gemma":[0.0001648894,0.00022782436,0.000041500272,0.005839258,0.000060074537,0.00006649356,0.000041167095,0.00036361034,6.288692e-7,0.000039662275,0.9927721,0.0003828176],"about_ca_topic_score_codex":0.0059095393,"about_ca_topic_score_gemma":0.00441099,"teacher_disagreement_score":0.98926765,"about_ca_system_score_codex":0.00006633797,"about_ca_system_score_gemma":0.00011895276,"threshold_uncertainty_score":0.99996156},"labels":[],"label_agreement":null},{"id":"W4308168675","doi":"10.1029/2022wr033246","title":"Capillary Water in 2‐D Drying—Cracking Sub‐Grain Scale Soil Models: Dynamics and Instabilities of Haines Jumps","year":2022,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Nanomaterials and Printing Technologies","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Geomechanica (Canada)","funders":"","keywords":"Instability; Meniscus; Mechanics; Surface tension; Capillary action; Capillary pressure; Laplace pressure; Curvature; Capillary condensation; Medial meniscus; Materials science; Laplace transform; Inertia; Thermodynamics; Chemistry; Classical mechanics; Physics; Mathematics; Porous medium; Composite material; Porosity; Geometry; Optics","score_opus":0.027634915049938317,"score_gpt":0.2466550322184245,"score_spread":0.21902011716848618,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4308168675","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99777794,0.0009202125,0.000013425132,0.00026011645,0.00011306462,0.00020648933,0.000022616228,0.00022051629,0.00046562543],"genre_scores_gemma":[0.9992426,0.0002464825,0.000114098635,0.0000041641188,0.00002293454,0.000097641205,0.00002219863,0.00004494911,0.0002049034],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9981184,0.00021794939,0.00033976615,0.00025916807,0.0004151992,0.0006495346],"domain_scores_gemma":[0.99949247,0.00006927441,0.0000117933705,0.0003370787,0.000051376992,0.000038016715],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017904656,0.00014956901,0.00026759197,0.000600947,0.00022996463,0.00009054134,0.00040210164,0.00008844366,0.00005168215],"category_scores_gemma":[0.000025672982,0.000108914,0.000037555357,0.00020672806,0.0002587648,0.00012292675,0.0012223,0.0004347052,0.0000032266562],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015163737,0.00008930397,0.018367413,0.0013851114,0.000055534554,0.000064988046,0.055044435,0.17808661,0.737535,0.00040008166,0.00014968612,0.008670182],"study_design_scores_gemma":[0.0003942519,0.00011016112,0.00028350385,0.00007164007,0.0000036195581,0.000015527614,0.007483526,0.29043654,0.6894147,0.008496339,0.0029967648,0.00029348067],"about_ca_topic_score_codex":0.000864367,"about_ca_topic_score_gemma":0.00043672638,"teacher_disagreement_score":0.11234992,"about_ca_system_score_codex":0.00013524227,"about_ca_system_score_gemma":0.00000687161,"threshold_uncertainty_score":0.44413838},"labels":[],"label_agreement":null},{"id":"W4308521934","doi":"10.1029/2021wr031753","title":"Community Workflows to Advance Reproducibility in Hydrologic Modeling: Separating Model‐Agnostic and Model‐Specific Configuration Steps in Applications of Large‐Domain Hydrologic Models","year":2022,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":40,"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 Calgary; University of Saskatchewan","funders":"U.S. Army Corps of Engineers; Global Water Futures; National Science Foundation","keywords":"Workflow; Computer science; Documentation; Preprocessor; Data mining; Blueprint; Domain (mathematical analysis); Software engineering; Hydrological modelling; Process (computing); Distributed computing; Data science; Database; Programming language; Engineering","score_opus":0.07186549120365168,"score_gpt":0.3308796666498052,"score_spread":0.25901417544615357,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4308521934","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9763714,0.00014933509,0.016891407,0.0014167543,0.000007777023,0.0014806533,0.000017434675,0.00003060462,0.0036346228],"genre_scores_gemma":[0.99684304,0.00005321805,0.0012442011,0.00017711688,0.0000069000002,0.0013524721,0.0000279368,0.000015199255,0.00027992306],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99542767,0.0016346604,0.0005581921,0.0010472585,0.0005793088,0.00075293967],"domain_scores_gemma":[0.9985031,0.00017047298,0.00005388583,0.0011655663,0.000024448931,0.00008255691],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.010471969,0.00018188173,0.00032936732,0.00032585,0.0009750661,0.00002486512,0.00066292664,0.000080781356,0.00008615154],"category_scores_gemma":[0.000103436505,0.00015675975,0.000034811063,0.0006761022,0.00033686755,0.00021836499,0.0027961433,0.0010466715,0.000018536686],"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":[0.00023354177,0.0003459612,0.009903126,0.000024290017,0.0000055611763,0.000005045796,0.02247507,0.9636013,0.002922693,0.00020299644,0.000048108122,0.00023233007],"study_design_scores_gemma":[0.0003994303,0.00015858522,0.000234671,0.000007878827,0.0000025449112,0.0000011094995,0.0014877453,0.91047066,0.00022491174,0.08641536,0.0004521692,0.00014493662],"about_ca_topic_score_codex":0.0006048025,"about_ca_topic_score_gemma":0.00072056125,"teacher_disagreement_score":0.08621236,"about_ca_system_score_codex":0.00025924676,"about_ca_system_score_gemma":0.0000068178783,"threshold_uncertainty_score":0.74995184},"labels":[],"label_agreement":null},{"id":"W4308574231","doi":"10.1029/2022wr033096","title":"Transit Time Estimation in Catchments: Recent Developments and Future Directions","year":2022,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":153,"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":"Lawrence Berkeley National Laboratory; Office of Science; École Polytechnique Fédérale de Lausanne; U.S. Department of Energy","keywords":"Hydrograph; Field (mathematics); Computer science; Water balance; Transit time; Tracking (education); Environmental science; Data science; Hydrology (agriculture); Operations research; Drainage basin; Geography; Transport engineering; Geology; Mathematics; Engineering; Cartography","score_opus":0.019553404248014956,"score_gpt":0.2779231730736124,"score_spread":0.2583697688255975,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4308574231","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9770136,0.00009921882,0.000005009259,0.008551715,0.00004934444,0.00030651176,0.0000027007131,0.000024687784,0.013947226],"genre_scores_gemma":[0.9904408,0.00038952436,0.00019390277,0.0001934741,0.000022284117,0.0002811193,0.00002981212,0.000011337141,0.008437778],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9984468,0.00031679624,0.00012795877,0.00028588247,0.00043753214,0.0003850104],"domain_scores_gemma":[0.9998062,0.000020701586,0.000010043486,0.0001121561,0.0000048578017,0.00004599894],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001046629,0.000077086195,0.000086806656,0.00015614775,0.00085370225,0.000025194107,0.00016662304,0.000026088714,0.003499233],"category_scores_gemma":[0.0000057932807,0.000059849455,0.000010810748,0.0003253833,0.00015378528,0.000097717544,0.00071988214,0.00027415378,0.00038119222],"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":[0.0007524298,0.0011401622,0.34103268,0.00007957751,0.00022963189,0.00026055938,0.26331586,0.020913484,0.007785392,0.000049610622,0.02572404,0.33871657],"study_design_scores_gemma":[0.00030316165,0.00006543679,0.04700215,0.0000021330843,0.0000031033965,0.0000037748503,0.0006903611,0.00071435544,0.00033415965,0.00035908204,0.9504311,0.00009119799],"about_ca_topic_score_codex":0.00032160972,"about_ca_topic_score_gemma":0.00008005781,"teacher_disagreement_score":0.92470706,"about_ca_system_score_codex":0.00021953635,"about_ca_system_score_gemma":0.0000020809796,"threshold_uncertainty_score":0.9974117},"labels":[],"label_agreement":null},{"id":"W4309189926","doi":"10.1029/2022wr032137","title":"A Semi‐Analytical Solution for Heat Transport in Rock With Parallel Fractures and a Heat Source in Both Fracture and Matrix","year":2022,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Geothermal Energy Systems and Applications","field":"Energy","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":"Queen's University","funders":"","keywords":"Thermal conduction; Fracture (geology); Mechanics; Matrix (chemical analysis); Source function; Advection; Transient (computer programming); Geology; Materials science; Geotechnical engineering; Thermodynamics; Composite material; Physics; Computer science","score_opus":0.022433500701848262,"score_gpt":0.30447262156216315,"score_spread":0.2820391208603149,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4309189926","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9935894,0.0006423536,0.0008844773,0.0038712686,0.000004525704,0.000546319,0.000010589596,0.00002643933,0.0004246542],"genre_scores_gemma":[0.99568236,0.000019099047,0.00009696102,0.00015602545,0.00005963827,0.0007774338,0.000046281486,0.00003858101,0.0031236478],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.99800414,0.00021976582,0.00026288768,0.00045609885,0.00045387476,0.00060324976],"domain_scores_gemma":[0.99948275,0.000117328724,0.000013412156,0.00023078879,0.000031318796,0.00012441314],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007548116,0.00015859501,0.0002662654,0.00032345703,0.00036416762,0.00005891218,0.00017285073,0.00010315349,0.00014492296],"category_scores_gemma":[0.000007429019,0.00010902857,0.00003635724,0.00026939707,0.00008560062,0.00006476481,0.000097003445,0.00052719575,0.000002697639],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011944458,0.00020365296,0.024861703,0.00014762761,0.0000480642,0.0000403715,0.012493409,0.9562595,0.0032903347,0.00061737665,0.00029630816,0.0005471964],"study_design_scores_gemma":[0.0023862638,0.0003686227,0.03109755,0.000056358265,0.000013832738,0.00006104488,0.002130475,0.1841303,0.0003107819,0.00057665,0.778565,0.00030310097],"about_ca_topic_score_codex":0.033510383,"about_ca_topic_score_gemma":0.0063450946,"teacher_disagreement_score":0.7782687,"about_ca_system_score_codex":0.00008428739,"about_ca_system_score_gemma":0.000021470574,"threshold_uncertainty_score":0.97292554},"labels":[],"label_agreement":null},{"id":"W4309830213","doi":"10.1029/2021wr031778","title":"Snow Level From Post‐Processing of Atmospheric Model Improves Snowfall Estimate and Snowpack Prediction in Mountains","year":2022,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":43,"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; Environment and Climate Change Canada","funders":"Environment and Climate Change Canada","keywords":"Snowpack; Snow; Environmental science; Precipitation; Atmospheric sciences; Snowmelt; Climatology; Meteorology; Geology; Geography","score_opus":0.06426824670314256,"score_gpt":0.2899897025505009,"score_spread":0.2257214558473583,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4309830213","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9967197,0.0011467043,0.00012911561,0.0005500547,0.00004317134,0.00021437615,0.00050487055,0.000021735399,0.0006702834],"genre_scores_gemma":[0.9967887,0.000069894755,0.0017903497,0.00006022132,0.00004241546,0.000014974162,0.00021855577,0.000008200966,0.0010066894],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9980623,0.00014730201,0.00028223393,0.0003540002,0.00063816545,0.0005159836],"domain_scores_gemma":[0.999434,0.00015099613,0.000043461787,0.00017977745,0.000103003935,0.00008874067],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007802195,0.0001174259,0.00019173523,0.000045300825,0.00065171864,0.000083361374,0.00027325016,0.00004157011,0.0008108801],"category_scores_gemma":[0.00005949664,0.00008897824,0.000030494612,0.00042477963,0.00019391833,0.00017804682,0.00021755703,0.00035299617,0.000011647356],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00032913004,0.00008920783,0.6694627,0.00008226236,0.000034784473,0.000017189854,0.025748415,0.23346777,0.0036945129,0.00000898511,0.0005570161,0.066508025],"study_design_scores_gemma":[0.00026303573,0.00015925607,0.44128188,0.000014837772,0.0000045817696,0.000001713694,0.0038782335,0.55070555,0.00010377865,0.00056597276,0.002938451,0.00008270257],"about_ca_topic_score_codex":0.03568285,"about_ca_topic_score_gemma":0.0071153096,"teacher_disagreement_score":0.31723776,"about_ca_system_score_codex":0.000028652608,"about_ca_system_score_gemma":0.00004515736,"threshold_uncertainty_score":0.97073865},"labels":[],"label_agreement":null},{"id":"W4310290430","doi":"10.1029/2022wr032694","title":"The Numerical Formulation of Simple Hysteretic Models to Simulate the Large‐Scale Hydrological Impacts of Prairie Depressions","year":2022,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Peatlands and Wetlands Ecology","field":"Environmental Science","cited_by":18,"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":"","keywords":"Biogeochemistry; Environmental science; Hydrology (agriculture); Scale (ratio); Precipitation; Biogeochemical cycle; Simulation modeling; Water storage; Distributed element model; Soil science; Geology; Ecology; Meteorology; Geomorphology; Geotechnical engineering; Geography; Mathematics; Engineering","score_opus":0.039919057603914565,"score_gpt":0.31651921785453735,"score_spread":0.2766001602506228,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4310290430","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9951864,0.000024296976,0.0002365945,0.002619072,0.000014586755,0.00039635773,0.000020700181,0.000008566144,0.0014934529],"genre_scores_gemma":[0.9993247,0.0000027841984,0.000021938817,0.000077872515,0.000016250651,0.000080952355,0.00001226154,0.000009144999,0.00045409438],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99743265,0.00069096487,0.0002669182,0.00022833969,0.0007805441,0.00060060795],"domain_scores_gemma":[0.9989237,0.0004931282,0.000048194313,0.0004035461,0.000020357493,0.00011107875],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019146788,0.000080431244,0.00015087788,0.000047240137,0.0009527187,0.000024776202,0.0006682059,0.000042454656,0.00070720055],"category_scores_gemma":[0.0000652521,0.000034910234,0.00006456788,0.00028378612,0.00021719234,0.000056273355,0.0019240814,0.00031307642,0.00002877987],"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":[0.0010566305,0.00043800156,0.26868206,0.000017595074,0.0000404195,0.000013944856,0.031836487,0.65506876,0.034402773,0.00016728428,0.006088341,0.0021877098],"study_design_scores_gemma":[0.001159602,0.0021525659,0.13973044,0.000009337269,0.000017698398,0.000018545605,0.0024422072,0.58027685,0.007711463,0.017178416,0.24906334,0.00023952402],"about_ca_topic_score_codex":0.0005571126,"about_ca_topic_score_gemma":0.00034789913,"teacher_disagreement_score":0.242975,"about_ca_system_score_codex":0.00006531759,"about_ca_system_score_gemma":0.000006954804,"threshold_uncertainty_score":0.77433497},"labels":[],"label_agreement":null},{"id":"W4312051950","doi":"10.1029/2022wr033036","title":"Hydrology and Seasonality Shape the Coupling of Dissolved Hg and Methyl‐Hg With DOC in Boreal Rivers in Northern Québec","year":2022,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Mercury impact and mitigation studies","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":"Université de Montréal; Université du Québec à Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Dissolved organic carbon; Biogeochemical cycle; Methylmercury; Boreal; Environmental science; Seasonality; Hydrology (agriculture); Biogeochemistry; Aquatic ecosystem; Environmental chemistry; Ecology; Chemistry; Geology","score_opus":0.03323920273742115,"score_gpt":0.29928301855895845,"score_spread":0.2660438158215373,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4312051950","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99692386,0.00019004541,5.370261e-7,0.0018516555,0.0000034837,0.0001976675,0.000006184118,0.0000035070877,0.0008230564],"genre_scores_gemma":[0.9996987,0.000036249756,0.0000092222745,0.000036500074,0.000004775121,0.000029853436,0.0000027127016,0.0000056184317,0.00017639091],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987234,0.0002239436,0.0001265323,0.00020233868,0.00043005365,0.00029373995],"domain_scores_gemma":[0.99959946,0.00019976041,0.00002254524,0.00011769754,0.00000821951,0.000052316733],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016260731,0.00006679006,0.00012791759,0.00005020339,0.00025749346,0.00001570653,0.00015637114,0.00001817262,0.00024982143],"category_scores_gemma":[0.000029646872,0.00003725949,0.000010705431,0.0002088876,0.0008257208,0.00005053584,0.00062673155,0.0002827933,0.0000031416894],"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":[0.00015806702,0.000024341925,0.9706575,0.000007903776,0.000008522525,0.000009760273,0.024659248,0.0007337421,0.002802224,0.0000028615084,0.000018561317,0.0009172311],"study_design_scores_gemma":[0.0004096449,0.00014928864,0.9870627,0.0000052519367,0.000002924011,0.000004514724,0.0047445353,0.0022471875,0.0006471568,0.00012923985,0.004537692,0.000059896174],"about_ca_topic_score_codex":0.06103433,"about_ca_topic_score_gemma":0.12049708,"teacher_disagreement_score":0.05946275,"about_ca_system_score_codex":0.00010015563,"about_ca_system_score_gemma":0.000011588509,"threshold_uncertainty_score":0.9452183},"labels":[],"label_agreement":null},{"id":"W4312193108","doi":"10.1029/2022wr032204","title":"Moving Land Models Toward More Actionable Science: A Novel Application of the Community Terrestrial Systems Model Across Alaska and the Yukon River Basin","year":2022,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":22,"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 Center for Atmospheric Research; National Science Foundation","keywords":"Streamflow; Permafrost; Environmental science; Snow; Arctic; Drainage basin; Forcing (mathematics); Structural basin; Hydrology (agriculture); Climatology; Hydrological modelling; Meteorology; Geology; Geography; Geomorphology; Oceanography","score_opus":0.09622535519484202,"score_gpt":0.3104584518696165,"score_spread":0.2142330966747745,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4312193108","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9969096,0.00022218993,0.0004433892,0.0012183946,0.00008272274,0.00054522447,0.00013151915,0.000010346569,0.0004365964],"genre_scores_gemma":[0.999273,0.000021348356,0.000060068418,0.000048773465,0.00005051169,0.000045685123,0.00001647314,0.0000034512504,0.00048068553],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99781436,0.00038234916,0.00018988433,0.00019361792,0.0010343248,0.00038547048],"domain_scores_gemma":[0.99908626,0.00031958078,0.000055359254,0.00038875185,0.00010001849,0.000050055278],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0040725833,0.00007819903,0.00013838381,0.00003943178,0.005200358,0.00017382542,0.0008022489,0.000025436373,0.00002142921],"category_scores_gemma":[0.000064698936,0.000038134385,0.000040855703,0.0005426091,0.0017021401,0.00017043418,0.00065440126,0.000520138,0.0000016416127],"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":[0.0002311762,0.00003210241,0.062828,0.000026649146,0.000017261409,2.3412144e-7,0.044359785,0.8909956,0.00021635948,0.00009494461,0.000090349786,0.001107551],"study_design_scores_gemma":[0.00059967255,0.000030320249,0.06931257,0.000006082559,0.0000050405333,0.0000046801406,0.018062986,0.9079168,0.00004144039,0.0005755615,0.0033884454,0.000056393234],"about_ca_topic_score_codex":0.07760233,"about_ca_topic_score_gemma":0.0009168949,"teacher_disagreement_score":0.07668543,"about_ca_system_score_codex":0.000027358052,"about_ca_system_score_gemma":0.000050746337,"threshold_uncertainty_score":0.99609476},"labels":[],"label_agreement":null},{"id":"W4312203697","doi":"10.1029/2020wr027925","title":"Calculating Required Purification Effort to Turn Source Water Into Drinking Water Using an Adapted CCME Water Quality Index","year":2022,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Water Quality and Pollution Assessment","field":"Environmental Science","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Nederlandse Organisatie voor Wetenschappelijk Onderzoek","keywords":"Water Framework Directive; Water quality; Environmental science; Index (typography); Portable water purification; Water source; Resilience (materials science); Water treatment; Sampling (signal processing); Member states; Environmental engineering; European union; Water resource management; Computer science; Business; Ecology","score_opus":0.1312170704276487,"score_gpt":0.38821774673314224,"score_spread":0.2570006763054935,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4312203697","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99290794,0.000005387347,0.0015274059,0.0035721764,0.00014913606,0.0009344094,0.000008525376,0.00015462207,0.00074038655],"genre_scores_gemma":[0.9933128,6.628326e-7,0.000629755,0.0005271208,0.00019912262,0.00024252504,0.00029335383,0.00008525362,0.0047094054],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9897357,0.0028691783,0.0009853274,0.001242582,0.003007945,0.0021592267],"domain_scores_gemma":[0.99813765,0.00004563669,0.00006123744,0.0011480098,0.000076540055,0.0005309154],"candidate_categories":["sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.01051482,0.00038615035,0.00040602626,0.00042705456,0.003150805,0.0005084274,0.0012281296,0.00016960884,0.0077173286],"category_scores_gemma":[0.00002339578,0.00022249567,0.00014758742,0.0003451154,0.0003667077,0.00064437883,0.004053025,0.0010053517,0.0014546918],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027083585,0.00023879299,0.015312511,0.000037009475,0.00003234773,0.000022141447,0.13254787,0.064660884,0.7853224,0.000011269327,0.000072238254,0.0014716908],"study_design_scores_gemma":[0.00073802186,0.00030655618,0.00618514,0.000021686517,0.00001508906,0.000026176336,0.004279159,0.012972007,0.7206517,0.0008444921,0.25324067,0.00071932847],"about_ca_topic_score_codex":0.018011944,"about_ca_topic_score_gemma":0.00057844695,"teacher_disagreement_score":0.25316843,"about_ca_system_score_codex":0.0014867805,"about_ca_system_score_gemma":0.000013246553,"threshold_uncertainty_score":0.9993228},"labels":[],"label_agreement":null},{"id":"W4312223762","doi":"10.1029/2022wr032864","title":"Sediment Dynamics and Bed Stability in Step‐Pool Streams: Insights From 18 Years of Field Observations","year":2022,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Sediment Transport Processes","field":"Environmental Science","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":"Simon Fraser University; University of British Columbia","funders":"","keywords":"Bed load; Sediment; STREAMS; Geology; Hydrology (agriculture); Grain size; Sediment transport; Flow (mathematics); Soil science; Geomorphology; Geotechnical engineering; Geometry","score_opus":0.04159482825120693,"score_gpt":0.2764257378926948,"score_spread":0.2348309096414879,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4312223762","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9983269,0.00007587274,0.000013470901,0.0005694875,0.000018428322,0.00023080125,0.000035689187,0.000009932702,0.0007193996],"genre_scores_gemma":[0.9995016,0.000017134236,0.00008866978,0.000067972745,0.0000070707742,0.000060765844,0.00006730974,0.0000065278145,0.00018293477],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984046,0.00026410614,0.00021326938,0.00030472188,0.0005533265,0.00025994936],"domain_scores_gemma":[0.9994657,0.00021866824,0.000020340207,0.00022594038,0.000009289127,0.00006003465],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00054607785,0.00006805019,0.00012514989,0.00008030854,0.00018137837,0.000012578379,0.00028368802,0.00005159936,0.0051384433],"category_scores_gemma":[0.00002472307,0.000058476064,0.000019599694,0.00024978898,0.00025475,0.00009661723,0.00044058808,0.00036826215,0.0000126999985],"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":[0.00024134213,0.0003832416,0.9583725,0.000026380783,0.000021192805,0.00003593404,0.02097838,0.002046694,0.012740869,0.000035774683,0.00016557347,0.004952153],"study_design_scores_gemma":[0.0020297698,0.0012314995,0.84643275,0.00003088477,0.000022746422,0.0000021004578,0.009356828,0.031930804,0.062367976,0.0053084837,0.040854264,0.00043188318],"about_ca_topic_score_codex":0.0073611923,"about_ca_topic_score_gemma":0.0041635763,"teacher_disagreement_score":0.111939706,"about_ca_system_score_codex":0.00012095247,"about_ca_system_score_gemma":0.0000096090025,"threshold_uncertainty_score":0.99924886},"labels":[],"label_agreement":null},{"id":"W4313592974","doi":"10.1029/2022wr033154","title":"Detecting Permafrost Active Layer Thickness Change From Nonlinear Baseflow Recession","year":2023,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":28,"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 British Columbia","funders":"Los Alamos National Laboratory; Biological and Environmental Research; National Nuclear Security Administration; Office of Science; U.S. Department of Energy","keywords":"Baseflow; Permafrost; Streamflow; Active layer; Surface runoff; Environmental science; Hydrology (agriculture); Climate change; Arctic; Drainage basin; Climatology; Geology; Atmospheric sciences; Oceanography; Geography","score_opus":0.20637010664267913,"score_gpt":0.35737289930236926,"score_spread":0.15100279265969013,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4313592974","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98720837,0.0002461973,7.604106e-7,0.0018099004,0.00034812847,0.0003624714,0.005968139,0.00014988598,0.0039061364],"genre_scores_gemma":[0.98130274,0.00043481245,0.00004300058,0.0002831742,0.0020867295,0.000028418728,0.014120593,0.000027611906,0.001672935],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99633825,0.00048036873,0.00024788137,0.00062093744,0.0010919155,0.0012206605],"domain_scores_gemma":[0.99850327,0.0005996526,0.000037190086,0.00041759416,0.00015154059,0.00029076939],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0016292346,0.00021888412,0.0002491168,0.00046730667,0.00097601383,0.00031022204,0.000568758,0.00020738169,0.020949198],"category_scores_gemma":[0.00009077476,0.00014274582,0.00008618706,0.0008903347,0.00017767023,0.00039164227,0.00021801826,0.0007864486,0.009697832],"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":[0.00071409857,0.00004731858,0.7107494,0.0001261543,0.00005058722,0.00047725267,0.08269412,0.00010042369,0.04511794,4.0369386e-7,0.0025420361,0.15738025],"study_design_scores_gemma":[0.00083932065,0.00029519753,0.4494932,0.00028398444,0.000016956688,0.000019320572,0.01357299,0.03574235,0.041043278,0.0002996361,0.45771983,0.0006739407],"about_ca_topic_score_codex":0.038464364,"about_ca_topic_score_gemma":0.031531785,"teacher_disagreement_score":0.4551778,"about_ca_system_score_codex":0.000017167777,"about_ca_system_score_gemma":0.00001616564,"threshold_uncertainty_score":0.99107325},"labels":[],"label_agreement":null},{"id":"W4313824302","doi":"10.1029/2022wr032456","title":"Long‐Term, High‐Resolution Permafrost Monitoring Reveals Coupled Energy Balance and Hydrogeologic Controls on Talik Dynamics Near Umiujaq (Nunavik, Québec, Canada)","year":2023,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","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":"Université Laval; Center for Northern Studies","funders":"","keywords":"Permafrost; Hydrogeology; Environmental science; Groundwater; Active layer; Water balance; Atmospheric sciences; Hydrology (agriculture); Water cycle; Climate change; Geology; Climatology; Ecology; Oceanography","score_opus":0.039812029767097794,"score_gpt":0.2714191550620185,"score_spread":0.23160712529492072,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4313824302","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9932088,0.0009149681,0.0000013174835,0.002625959,0.00025053104,0.0002472303,0.0021531906,0.00007625138,0.0005217366],"genre_scores_gemma":[0.99158823,0.0007209876,0.0000033686274,0.00019470509,0.00038360828,0.000018323528,0.0043528234,0.000018037952,0.0027199239],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9963415,0.0003575648,0.00031431616,0.00058743975,0.0011121144,0.0012870259],"domain_scores_gemma":[0.99856216,0.000521857,0.000053147705,0.00039158016,0.00011693396,0.00035434315],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009627289,0.0002605981,0.00034511107,0.00022025868,0.0009928549,0.0003472271,0.00044634074,0.0001602166,0.0013554085],"category_scores_gemma":[0.000062736246,0.00018753212,0.000051299532,0.00040982885,0.0003576536,0.00014113472,0.00013202352,0.00043862357,0.00026124172],"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":[0.00024011577,0.000013816244,0.991267,0.00006405302,0.000026055615,0.0003673339,0.0008480944,0.0015963947,0.0028903733,0.000007640356,0.0012797995,0.0013992753],"study_design_scores_gemma":[0.00062455534,0.00028018787,0.8684788,0.00009820796,0.000009835949,0.000027358727,0.00032727513,0.11857442,0.0005487789,0.00010574478,0.010598216,0.00032664472],"about_ca_topic_score_codex":0.91260093,"about_ca_topic_score_gemma":0.9696292,"teacher_disagreement_score":0.12278827,"about_ca_system_score_codex":0.0001260071,"about_ca_system_score_gemma":0.00012077329,"threshold_uncertainty_score":0.9995575},"labels":[],"label_agreement":null},{"id":"W4317666551","doi":"10.1029/2021wr031841","title":"RivQNet: Deep Learning Based River Discharge Estimation Using Close‐Range Water Surface Imagery","year":2023,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Sediment Transport Processes","field":"Environmental Science","cited_by":30,"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 Manitoba; United Nations University Institute for Water, Environment, and Health; Environment and Climate Change Canada; University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada; Environment and Climate Change Canada","keywords":"Streamflow; Computer science; Range (aeronautics); Velocimetry; Convolutional neural network; Deep learning; Artificial intelligence; Artificial neural network; Remote sensing; Data mining; Geology; Engineering; Optics; Geography","score_opus":0.038387894656492984,"score_gpt":0.3051303307756237,"score_spread":0.2667424361191307,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4317666551","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9968006,0.000033122484,0.00080383394,0.00071150163,0.00004395426,0.00026246163,0.0000035259322,0.00016881198,0.0011722088],"genre_scores_gemma":[0.9960845,0.000014198876,0.0004248943,0.00006124879,0.00004588357,0.000021937532,0.00012142398,0.000038803748,0.0031871083],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99678683,0.0004114336,0.00024249655,0.000534891,0.0009135809,0.0011107946],"domain_scores_gemma":[0.99942714,0.00011043402,0.000021155634,0.0002656453,0.000024943207,0.00015066023],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0021556236,0.00017961132,0.00017807544,0.00017254078,0.00088348833,0.00009292661,0.00038281246,0.00014149421,0.0062416517],"category_scores_gemma":[0.000031756605,0.00011469785,0.0000658628,0.00042856057,0.000630986,0.00038563463,0.00027824225,0.0005693987,0.008174212],"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":[0.00016928426,0.000100185905,0.25214708,0.0001135616,0.000025510511,0.00017075488,0.017354205,0.55822927,0.1696875,0.0000017842441,0.00025555753,0.0017453403],"study_design_scores_gemma":[0.00083852006,0.00016851354,0.028752951,0.00004543264,0.000025044505,0.0000071348154,0.00026516223,0.7414285,0.1746067,0.0006376998,0.05274004,0.00048427845],"about_ca_topic_score_codex":0.00054094795,"about_ca_topic_score_gemma":0.000042578115,"teacher_disagreement_score":0.22339414,"about_ca_system_score_codex":0.00008677776,"about_ca_system_score_gemma":0.0000053768326,"threshold_uncertainty_score":0.99466676},"labels":[],"label_agreement":null},{"id":"W4318821684","doi":"10.1029/2022wr032064","title":"Can Hydrological Models Benefit From Using Global Soil Moisture, Evapotranspiration, and Runoff Products as Calibration Targets?","year":2023,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":70,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Streamflow; Environmental science; Evapotranspiration; Flood forecasting; Baseflow; Surface runoff; Hydrology (agriculture); Drainage basin; Hydrological modelling; Soil and Water Assessment Tool; Calibration; Climatology; Geology; Geography; Ecology; Mathematics","score_opus":0.0676913693808594,"score_gpt":0.2960901070706079,"score_spread":0.2283987376897485,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4318821684","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9882002,0.00009620535,0.000056522662,0.007592866,0.000045565437,0.00035551202,0.000022294513,0.00009904176,0.003531788],"genre_scores_gemma":[0.9982424,0.00006650774,0.000085949476,0.0002478115,0.00009588936,0.00004295635,0.00008993579,0.000012868495,0.0011156972],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9976302,0.00022185124,0.00019690329,0.0006429842,0.00063463976,0.0006734152],"domain_scores_gemma":[0.9995609,0.00003493629,0.000020619673,0.00025387586,0.000021780656,0.00010791166],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00079773075,0.0001601472,0.00016496672,0.00007664534,0.00078385207,0.00010736331,0.00026667392,0.00012448164,0.00023990814],"category_scores_gemma":[0.000029573324,0.00011063749,0.000026582487,0.000411251,0.0005449645,0.00026778947,0.0007277325,0.00021548184,0.00027071993],"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":[0.0004461196,0.00016677742,0.2164879,0.00006696364,0.00019126355,0.00022818065,0.021208659,0.7054079,0.04923949,0.0008583904,0.0039848452,0.001713471],"study_design_scores_gemma":[0.0011976499,0.0004815645,0.07148643,0.000030124816,0.000066994144,0.000010473246,0.0006172114,0.60025215,0.019587029,0.27997616,0.02556327,0.0007309665],"about_ca_topic_score_codex":0.011017561,"about_ca_topic_score_gemma":0.001470892,"teacher_disagreement_score":0.27911776,"about_ca_system_score_codex":0.00010148763,"about_ca_system_score_gemma":0.000005143235,"threshold_uncertainty_score":0.99556816},"labels":[],"label_agreement":null},{"id":"W4319347401","doi":"10.1029/2022wr032653","title":"Efficient Optimization of Energy Recovery From Geothermal Reservoirs With Recurrent Neural Network Predictive Models","year":2023,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Reservoir Engineering and Simulation Methods","field":"Engineering","cited_by":18,"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 Energy Efficiency; Office of Energy Efficiency and Renewable Energy; Energi Simulation; Geothermal Technologies Office; U.S. Department of Energy","keywords":"Geothermal gradient; Computer science; Model predictive control; Workflow; Artificial neural network; Reservoir simulation; Geothermal energy; Field (mathematics); Electricity generation; Recurrent neural network; Mathematical optimization; Data mining; Power (physics); Artificial intelligence; Engineering; Petroleum engineering; Geology","score_opus":0.0388982769591298,"score_gpt":0.28131592035900166,"score_spread":0.24241764339987187,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4319347401","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.85970277,0.000262063,0.13793229,0.000046983456,0.00016752881,0.00017057992,0.000031900374,0.0003349739,0.0013509165],"genre_scores_gemma":[0.99412256,0.000118547556,0.0047404505,0.0000029135083,0.0002559326,0.000072384515,0.00013625383,0.00008779498,0.00046315984],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9975375,0.00035411335,0.00031084742,0.00029972728,0.0008157443,0.00068205694],"domain_scores_gemma":[0.99890065,0.00034625584,0.000022530505,0.00041887473,0.00018114413,0.00013053893],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001006995,0.00017561983,0.0002441909,0.00039214306,0.00012352715,0.0000673443,0.00032313657,0.000116374176,0.00006980267],"category_scores_gemma":[0.00003456158,0.00012723666,0.0000617032,0.00086571136,0.00008722483,0.0000903145,0.00015372527,0.00033821276,0.000011301382],"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":[0.0002407884,0.0000137703055,0.000138758,0.00004555106,0.00007258492,0.0000091178235,0.0013252202,0.99678445,0.00034844078,0.000010653269,0.0003696203,0.0006410253],"study_design_scores_gemma":[0.00039594324,0.00014378093,0.00028840237,0.00009214961,0.000006796624,6.6525234e-7,0.000101941594,0.99620336,0.0012453824,0.00022330669,0.0011495415,0.00014875238],"about_ca_topic_score_codex":0.00016279171,"about_ca_topic_score_gemma":0.0000086306845,"teacher_disagreement_score":0.1344198,"about_ca_system_score_codex":0.000074192976,"about_ca_system_score_gemma":0.000010143988,"threshold_uncertainty_score":0.51885605},"labels":[],"label_agreement":null},{"id":"W4320716398","doi":"10.1029/2022wr032967","title":"Combining Remotely Sensed Evapotranspiration and an Agroecosystem Model to Estimate Center‐Pivot Irrigation Water Use at High Spatio‐Temporal Resolution","year":2023,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Plant Water Relations and Carbon Dynamics","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":"University of Alberta","funders":"National Institute of Food and Agriculture; U.S. Department of Agriculture","keywords":"Evapotranspiration; Irrigation; Environmental science; Hydrology (agriculture); Water use; Irrigation management; Center pivot irrigation; Remote sensing; Geography; Engineering","score_opus":0.06186180796559332,"score_gpt":0.3122636606049424,"score_spread":0.25040185263934905,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4320716398","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99742097,0.0000018288732,0.00052743254,0.00064445013,0.00005345625,0.00061107473,0.000060838578,0.0001672048,0.00051274593],"genre_scores_gemma":[0.9940822,0.0000044369776,0.000848212,0.000041160663,0.000033260825,0.00004146275,0.0014992018,0.00004060186,0.0034094562],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9968125,0.00042170892,0.00037296128,0.0006278896,0.0009532472,0.0008116863],"domain_scores_gemma":[0.9991974,0.000042430776,0.000033982535,0.00039671542,0.00004737913,0.0002820848],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0014081842,0.00019829834,0.00018317472,0.000306889,0.0007490432,0.00033349596,0.0002272658,0.00014450878,0.000077146],"category_scores_gemma":[0.000018500343,0.00014000417,0.000037045822,0.00031298256,0.00013121593,0.0006279116,0.00046318764,0.0002505793,0.0008721463],"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":[0.0003206253,0.000055773624,0.031551186,0.000042876003,0.000012476323,0.000045226476,0.012093717,0.7803065,0.17464535,0.000061840015,0.00020479882,0.0006596331],"study_design_scores_gemma":[0.0005201163,0.00017850728,0.009661651,0.000044488486,0.0000074244163,0.000016264215,0.00003585709,0.9742239,0.011184177,0.00080125907,0.003095329,0.00023100898],"about_ca_topic_score_codex":0.0021345674,"about_ca_topic_score_gemma":0.0030879392,"teacher_disagreement_score":0.19391742,"about_ca_system_score_codex":0.00033504737,"about_ca_system_score_gemma":0.000004610881,"threshold_uncertainty_score":0.99990577},"labels":[],"label_agreement":null},{"id":"W4321495535","doi":"10.1029/2022wr034114","title":"Athabasca River Avulsion Underway in the Peace‐Athabasca Delta, Canada","year":2023,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Flood Risk Assessment and Management","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":"Environment and Climate Change Canada","funders":"Nuclear Safety and Security Commission; National Aeronautics and Space Administration","keywords":"Delta; Hydrology (agriculture); Geology; River delta; Floodplain; Channel (broadcasting); Avulsion; Sediment transport; Stream power; Sediment; Bed load; Environmental science; Geomorphology; Ecology; Geotechnical engineering","score_opus":0.034848730032054825,"score_gpt":0.29826121065480016,"score_spread":0.26341248062274536,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4321495535","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9676711,0.00003664288,0.0000101405385,0.005817878,0.000066936045,0.00048120238,0.000005592073,0.000036601024,0.025873905],"genre_scores_gemma":[0.9810403,0.000097001226,0.00004119135,0.00017519054,0.00005718498,0.000093510345,0.000037696933,0.000019571786,0.01843835],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99608755,0.00050744775,0.00017106043,0.000423301,0.0018624594,0.00094817573],"domain_scores_gemma":[0.99923676,0.0001512787,0.000017586546,0.00048360758,0.00001117422,0.00009956962],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0024557675,0.00013978683,0.00011640405,0.00016649478,0.00045326707,0.00012554433,0.0009051204,0.000048391397,0.001533421],"category_scores_gemma":[0.000024508285,0.00007819895,0.000042878146,0.00086046883,0.0002450036,0.00014103852,0.0012638109,0.00042017442,0.002040687],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007737487,0.00017980828,0.16837296,0.000060086928,0.000032530377,0.00078108907,0.030241331,0.004512246,0.0025249585,0.000120856035,0.7821551,0.010941638],"study_design_scores_gemma":[0.0002955295,0.000066502536,0.20935719,0.000015171822,0.0000035487037,0.0000019937038,0.0034496267,0.0029297587,0.000998886,0.0002978663,0.7824306,0.00015334036],"about_ca_topic_score_codex":0.7716604,"about_ca_topic_score_gemma":0.8319567,"teacher_disagreement_score":0.060296297,"about_ca_system_score_codex":0.0003884105,"about_ca_system_score_gemma":0.000021644495,"threshold_uncertainty_score":0.99937934},"labels":[],"label_agreement":null},{"id":"W4322008106","doi":"10.1029/2022wr033278","title":"Acoustically‐Derived Sediment‐Index Methods in Large Rivers: Assessment of Two Acoustic Inversion Models","year":2023,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Sediment Transport Processes","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":"Simon Fraser University","funders":"","keywords":"Sediment; Environmental science; Dredging; Silt; Sediment transport; Hydrology (agriculture); Shore; Geology; Oceanography; Geotechnical engineering; Geomorphology","score_opus":0.06167960397000827,"score_gpt":0.3986146301598161,"score_spread":0.3369350261898078,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4322008106","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9746321,0.000018009245,0.018664422,0.00035705057,0.00004524695,0.0003660365,0.000010485458,0.000064448606,0.005842206],"genre_scores_gemma":[0.99593735,0.000055573877,0.0028873212,0.00007213835,0.000020604444,0.000054444023,0.00003374907,0.000021457505,0.00091736455],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9963566,0.00067431043,0.00036702055,0.00053215615,0.0010633927,0.0010064944],"domain_scores_gemma":[0.9991301,0.0002986192,0.000035497687,0.00033510933,0.000033089917,0.00016759032],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0042251446,0.00016502815,0.00027752316,0.0003870441,0.00023238505,0.000024998362,0.00058073935,0.00015142343,0.0033085307],"category_scores_gemma":[0.000039180875,0.00012408338,0.000062198014,0.0008907659,0.0005196533,0.00027187532,0.00068364176,0.00057417597,0.00029242583],"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":[0.00015911645,0.00036868744,0.15428108,0.00013599147,0.000043148983,0.00016806215,0.008203763,0.4529758,0.38156828,0.00004532649,0.00039172123,0.0016590103],"study_design_scores_gemma":[0.0020409806,0.0002742013,0.038492866,0.00006003694,0.000023596325,0.0000025860008,0.0010459216,0.9117983,0.036842268,0.0062924637,0.0028459323,0.00028086672],"about_ca_topic_score_codex":0.00064956927,"about_ca_topic_score_gemma":0.00024340492,"teacher_disagreement_score":0.4588225,"about_ca_system_score_codex":0.00015439074,"about_ca_system_score_gemma":0.000022213988,"threshold_uncertainty_score":0.9976026},"labels":[],"label_agreement":null},{"id":"W4323359993","doi":"10.1029/2022wr032683","title":"Windmapper: An Efficient Wind Downscaling Method for Hydrological Models","year":2023,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Environment and Climate Change Canada; University of Saskatchewan","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; University of Saskatchewan","keywords":"Downscaling; Terrain; Environmental science; Wind speed; Meteorology; Snow; Hydrometeorology; Evapotranspiration; Numerical weather prediction; Climatology; Geology; Geography; Precipitation","score_opus":0.16827878840144497,"score_gpt":0.36579071720596157,"score_spread":0.1975119288045166,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4323359993","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99444276,0.00018398958,0.0015603576,0.0015289688,0.000093485236,0.00045809493,0.00006392828,0.00012096984,0.0015474627],"genre_scores_gemma":[0.9936171,0.00003524524,0.0041153273,0.00013455094,0.0003138127,0.000017814233,0.00025334916,0.000009191455,0.0015035957],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9974434,0.00028557435,0.0002173433,0.000467325,0.0006346823,0.00095172063],"domain_scores_gemma":[0.9987967,0.00059826806,0.000016328735,0.000276473,0.000120211815,0.00019199961],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003088807,0.00012186312,0.00018661153,0.0001247203,0.0010431946,0.00016306624,0.00040711908,0.00009288661,0.00066371507],"category_scores_gemma":[0.00007916328,0.00007264299,0.00008370021,0.0005652888,0.00014288993,0.00008897306,0.00009289067,0.00024067012,0.00037376583],"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":[0.00013493658,0.0000327138,0.011771443,0.000024311375,0.000027313648,0.0000140600805,0.0059341895,0.9656501,0.00031630616,0.00007523105,0.0012265116,0.014792927],"study_design_scores_gemma":[0.0002331083,0.0002517037,0.029443096,0.0000059893364,0.0000048799516,0.0000021707356,0.0015724715,0.86577654,0.00013029763,0.0026467463,0.099809006,0.00012400537],"about_ca_topic_score_codex":0.0016478072,"about_ca_topic_score_gemma":0.0005532413,"teacher_disagreement_score":0.099873535,"about_ca_system_score_codex":0.0000074139743,"about_ca_system_score_gemma":0.000010855842,"threshold_uncertainty_score":0.8023515},"labels":[],"label_agreement":null},{"id":"W4323360269","doi":"10.1029/2022wr034094","title":"Large‐Domain Multisite Precipitation Generation: Operational Blueprint and Demonstration for 1,000 Sites","year":2023,"lang":"en","type":"article","venue":"Water Resources Research","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":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan; University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Marginal distribution; Advection; Precipitation; Gaussian; Stochastic simulation; Process (computing); Domain (mathematical analysis); Algorithm; Statistical physics; Meteorology; Mathematics; Random variable; Statistics; Geography; Physics","score_opus":0.05811950732493012,"score_gpt":0.3261220832738248,"score_spread":0.2680025759488947,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4323360269","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99287283,0.000018128916,0.0012045248,0.003811306,0.000027671522,0.0005719343,0.000012949785,0.000047986778,0.0014326648],"genre_scores_gemma":[0.9945464,0.00003505981,0.0010222695,0.00010690421,0.00011474093,0.00029502143,0.00019395114,0.000009834499,0.0036758096],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99857986,0.00019107881,0.00014774439,0.00034122958,0.00033875447,0.0004013535],"domain_scores_gemma":[0.99969774,0.00009503833,0.000013206078,0.0001167432,0.000025381954,0.000051878014],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017253427,0.000083698265,0.000080476966,0.00011686025,0.00092761376,0.00010515578,0.00011120278,0.000057233534,0.0004198087],"category_scores_gemma":[0.000038816528,0.00006169128,0.000021693697,0.00016363841,0.00020680108,0.00018452703,0.00036673245,0.00009797321,0.00056837074],"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":[0.00024372393,0.00018147995,0.50542456,0.00009092297,0.00013211321,0.000022519404,0.07781498,0.012209027,0.3672038,0.002005794,0.0285258,0.0061452836],"study_design_scores_gemma":[0.002335597,0.00048162125,0.28888756,0.000018872983,0.000022810376,0.0000058858454,0.003600254,0.1630867,0.058971774,0.018917939,0.46313542,0.0005355566],"about_ca_topic_score_codex":0.000056383888,"about_ca_topic_score_gemma":0.00033306424,"teacher_disagreement_score":0.43460962,"about_ca_system_score_codex":0.000031028532,"about_ca_system_score_gemma":0.0000013028578,"threshold_uncertainty_score":0.7305445},"labels":[],"label_agreement":null},{"id":"W4323363936","doi":"10.1029/2021wr031745","title":"On‐Line Warning System for Pipe Burst Using Bayesian Dynamic Linear Models","year":2023,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Water Systems and Optimization","field":"Engineering","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":"Institut National de la Recherche Scientifique; McGill University; McGill University Health Centre","funders":"Mitacs","keywords":"Outlier; Constant false alarm rate; Computer science; Data mining; Warning system; Anomaly detection; ALARM; Bayesian probability; Nonlinear system; Set (abstract data type); Data set; Time series; Flow (mathematics); Engineering; Algorithm; Artificial intelligence; Machine learning; Mathematics","score_opus":0.0698516885584046,"score_gpt":0.31729339592997047,"score_spread":0.24744170737156587,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4323363936","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.72707146,0.00010217294,0.2686326,0.00011598018,0.00038697594,0.00091192604,0.000044704924,0.0010508249,0.0016833522],"genre_scores_gemma":[0.99496424,0.000009622897,0.0008700635,0.0000034057898,0.0002783796,0.00011185039,0.00011648559,0.00013145934,0.003514508],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99782485,0.00012142685,0.00033109123,0.00032921272,0.0005307079,0.00086269644],"domain_scores_gemma":[0.99924004,0.00010661707,0.000017592381,0.00035388238,0.00015175027,0.0001300917],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012281189,0.00018502482,0.00024363905,0.0006629572,0.00036964845,0.00016979566,0.00029303218,0.00014144396,0.000009804622],"category_scores_gemma":[0.000023008943,0.00013919498,0.00007789528,0.00047840038,0.000037830014,0.00014258668,0.00010878383,0.00029436636,0.00015604566],"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":[0.000030896354,0.000006434207,0.000011996624,0.0005855792,0.00003054172,0.000017753664,0.0025799077,0.99224716,0.00392984,0.000054432505,0.00032190199,0.00018356227],"study_design_scores_gemma":[0.000345648,0.00008264585,0.0000033593265,0.00026393955,0.000005867425,0.000006100818,0.0004867135,0.9884928,0.006134408,0.00015814647,0.0038441739,0.00017619625],"about_ca_topic_score_codex":0.000107977015,"about_ca_topic_score_gemma":0.000034182176,"teacher_disagreement_score":0.26789275,"about_ca_system_score_codex":0.00023835053,"about_ca_system_score_gemma":0.0000086658865,"threshold_uncertainty_score":0.56762064},"labels":[],"label_agreement":null},{"id":"W4360610561","doi":"10.1029/2023wr034503","title":"An Analytical Method to Estimate Groundwater Depletion of an Aquitard Due To Variable Drawdowns in Adjacent Aquifers","year":2023,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":5,"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":"Natural Sciences and Engineering Research Council of Canada; Chengdu University; State Key Laboratory of Geohazard Prevention and Geoenvironment Protection; Chengdu University of Technology; China Scholarship Council; University of Waterloo; National Natural Science Foundation of China","keywords":"Aquifer; Drawdown (hydrology); Hydrogeology; Groundwater; Specific storage; Geology; Cone of depression; Aquifer test; Water table; Soil science; Hydrology (agriculture); Groundwater flow; Environmental science; Groundwater recharge; Geotechnical engineering","score_opus":0.059258977352451635,"score_gpt":0.42094906270290894,"score_spread":0.3616900853504573,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4360610561","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96071154,0.000002922565,0.03744428,0.0005296765,0.000026069341,0.000468931,0.000012508826,0.00016171121,0.0006423475],"genre_scores_gemma":[0.90879697,0.0000011361756,0.09043123,0.000028301296,0.00009436349,0.0002820591,0.000044150394,0.00005226086,0.00026951206],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9974948,0.00043916932,0.0003054275,0.0004045617,0.00052736513,0.0008286767],"domain_scores_gemma":[0.9987889,0.0001609739,0.0000071205072,0.0005405944,0.00009283625,0.00040959593],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026076392,0.00014317177,0.0002833587,0.0006251184,0.000098632285,0.00010863126,0.00043965646,0.00008595714,0.00009637737],"category_scores_gemma":[0.00006055252,0.00011141136,0.000040105966,0.0014866597,0.00004368552,0.000120302444,0.00020362156,0.00030414428,0.00038340836],"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":[0.000104423685,0.00024735281,0.00069930934,0.00015829921,0.000032923937,0.000034509416,0.0070137433,0.30481818,0.65973353,0.0013219315,0.00035114906,0.025484633],"study_design_scores_gemma":[0.0006061579,0.0012734341,0.060440615,0.00012881335,0.000019903466,0.000008161198,0.0012263006,0.7278738,0.1490474,0.010274655,0.04844472,0.0006560173],"about_ca_topic_score_codex":0.0008630871,"about_ca_topic_score_gemma":0.00010205016,"teacher_disagreement_score":0.51068616,"about_ca_system_score_codex":0.00008778135,"about_ca_system_score_gemma":0.0000084323065,"threshold_uncertainty_score":0.49280667},"labels":[],"label_agreement":null},{"id":"W4361000981","doi":"10.1029/2021wr031614","title":"A Framework for Estimating Global River Discharge From the Surface Water and Ocean Topography Satellite Mission","year":2023,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Flood Risk Assessment and Management","field":"Environmental Science","cited_by":132,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Environment and Climate Change Canada","funders":"Sight Research UK; Earth Sciences Division; Jet Propulsion Laboratory; Natural Environment Research Council; Centre National d’Etudes Spatiales; Royal Society","keywords":"SWOT analysis; Discharge; Environmental science; Satellite; Hydrology (agriculture); Ocean surface topography; Elevation (ballistics); Streamflow; Surface water; Meteorology; Drainage basin; Climatology; Geology; Geography; Mathematics; Cartography; Environmental engineering; Engineering","score_opus":0.04192432353881073,"score_gpt":0.34213598129923684,"score_spread":0.30021165776042613,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4361000981","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.992331,0.000086191685,0.0010038153,0.005083784,0.00008650347,0.00062267476,0.000023137593,0.0000704831,0.000692376],"genre_scores_gemma":[0.9784254,0.000117939984,0.019064007,0.00013075671,0.00015063972,0.000021939879,0.00010242452,0.000024947729,0.0019619665],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99779975,0.00019227703,0.00015633345,0.000440141,0.0006624393,0.0007490556],"domain_scores_gemma":[0.9993022,0.00022529507,0.00001575066,0.00032533478,0.000011142147,0.00012024642],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013352907,0.00013556921,0.000115899435,0.00003296748,0.00073045533,0.00025656726,0.0004343458,0.00006765748,0.00027927622],"category_scores_gemma":[0.00003078802,0.00006237797,0.00006061498,0.00027965847,0.00035400141,0.00012724515,0.0012801518,0.00021021148,0.00043832633],"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":[0.00036372142,0.00018052319,0.82512313,0.00013757,0.00019020907,0.000043827327,0.06418527,0.0049817017,0.015318581,0.00067995605,0.039685525,0.049109995],"study_design_scores_gemma":[0.00090574997,0.00025139845,0.13080901,0.00015146709,0.000042760214,0.0000012732932,0.003366531,0.045941234,0.0117515,0.10869737,0.6975581,0.00052360934],"about_ca_topic_score_codex":0.0014083203,"about_ca_topic_score_gemma":0.000048730897,"teacher_disagreement_score":0.6943141,"about_ca_system_score_codex":0.000047383877,"about_ca_system_score_gemma":0.0000014366433,"threshold_uncertainty_score":0.5633944},"labels":[],"label_agreement":null},{"id":"W4362665943","doi":"10.1029/2022wr033912","title":"Paired Air and Stream Temperature Analysis (PASTA) to Evaluate Groundwater Influence on Streams","year":2023,"lang":"en","type":"article","venue":"Water Resources Research","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":"Dalhousie University","funders":"U.S. Geological Survey; Consortium of Universities for the Advancement of Hydrologic Science; Massachusetts Department of Fish and Game; National Science Foundation","keywords":"Baseflow; STREAMS; Groundwater; Environmental science; Hydrology (agriculture); Streamflow; Computer science; Geology; Drainage basin; Geography","score_opus":0.03135585772115556,"score_gpt":0.31230388261882946,"score_spread":0.2809480248976739,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4362665943","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9901933,0.000007781698,0.0000013515887,0.0064121108,0.000021934859,0.00038879883,0.0000070516912,0.0001112786,0.0028563808],"genre_scores_gemma":[0.98476607,0.00003882105,0.000020307603,0.00048694282,0.00003358379,0.0001220903,0.000028344024,0.000018137007,0.014485735],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9967381,0.00042818498,0.00019585967,0.0007374897,0.00095220306,0.0009482039],"domain_scores_gemma":[0.9991747,0.00010541797,0.000015754102,0.0004757132,0.000026585814,0.00020182416],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0018654867,0.00020354337,0.00024483324,0.000591385,0.0007259503,0.000118617594,0.00041539816,0.00009664585,0.0005690013],"category_scores_gemma":[0.000055528926,0.00012582554,0.000066656365,0.0015463158,0.00044465542,0.00014843317,0.0014955894,0.00032520515,0.004203075],"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":[0.000653251,0.0002687915,0.7648033,0.00008632462,0.0011287351,0.00036275832,0.03751238,0.13737363,0.03039404,0.000020514663,0.020370144,0.0070261643],"study_design_scores_gemma":[0.00065041153,0.0009706582,0.8813925,0.000030530802,0.00013811447,0.0000019114202,0.0014617346,0.0020336993,0.014528288,0.0008045319,0.09750703,0.00048063684],"about_ca_topic_score_codex":0.0012326952,"about_ca_topic_score_gemma":0.0005293081,"teacher_disagreement_score":0.13533993,"about_ca_system_score_codex":0.00008707022,"about_ca_system_score_gemma":0.000001777939,"threshold_uncertainty_score":0.99657226},"labels":[],"label_agreement":null},{"id":"W4362671066","doi":"10.1029/2022wr032578","title":"Subsurface Porewater Flow Accelerates Talik Development Under the Alaska Highway, Yukon: A Prelude to Road Collapse and Final Permafrost Thaw?","year":2023,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":26,"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; Université de Montréal; Université Laval; Effigis (Canada); Center for Northern Studies","funders":"Fonds de recherche du Québec – Nature et technologies; China Scholarship Council; Transport Canada","keywords":"Permafrost; Environmental science; Advection; Hydrology (agriculture); Subsurface flow; Water table; Groundwater flow; Groundwater; Geomorphology; Geology; Geotechnical engineering; Oceanography; Aquifer","score_opus":0.13527158260402028,"score_gpt":0.31951589901019006,"score_spread":0.18424431640616978,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4362671066","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9887057,0.00043975294,7.674829e-7,0.006907133,0.0001445749,0.00058408966,0.0013096803,0.000083526036,0.0018247709],"genre_scores_gemma":[0.98166084,0.00014720355,0.00005108874,0.000489,0.0002483308,0.000038893388,0.0027898012,0.000021509832,0.014553308],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9963474,0.00036407815,0.00030713726,0.0006003802,0.0010450965,0.001335909],"domain_scores_gemma":[0.998803,0.0002725277,0.000023385894,0.00039296175,0.00013424619,0.00037385506],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0019297298,0.00026571163,0.00024307826,0.00030855704,0.0011965818,0.0008358913,0.00063712336,0.00012292754,0.008947914],"category_scores_gemma":[0.000023092056,0.0001424216,0.00004968379,0.00072275306,0.0002961734,0.00018367832,0.0003692168,0.0003961206,0.005022755],"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":[0.00068612775,0.000055327633,0.8108852,0.00017769761,0.00010361757,0.00031327564,0.10152043,0.0049187196,0.009449124,0.0000037648465,0.06380061,0.008086109],"study_design_scores_gemma":[0.0003913777,0.0001795136,0.7661894,0.00005640812,0.000006892809,0.000037188158,0.005739361,0.0025847852,0.008598385,0.000074654905,0.21580747,0.00033456375],"about_ca_topic_score_codex":0.004255654,"about_ca_topic_score_gemma":0.025305863,"teacher_disagreement_score":0.15200686,"about_ca_system_score_codex":0.000017007784,"about_ca_system_score_gemma":0.000050826657,"threshold_uncertainty_score":0.995752},"labels":[],"label_agreement":null},{"id":"W4366251479","doi":"10.1029/2022wr033360","title":"Factorial CGE‐Based Analysis for the Indirect Benefits of the Three Gorges Project","year":2023,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Water resources management and optimization","field":"Engineering","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":"University of Regina","funders":"","keywords":"Computable general equilibrium; Three gorges; Flood myth; Environmental science; Factorial analysis; Gross domestic product; Water resource management; Natural resource economics; Economics; Engineering; Geography; Mathematics; Macroeconomics; Statistics","score_opus":0.1027515473994949,"score_gpt":0.3080732857804738,"score_spread":0.20532173838097895,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4366251479","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9948962,0.00014518335,0.0015086964,0.0005095681,0.00025126085,0.0013866163,0.000053703847,0.00023479857,0.0010139926],"genre_scores_gemma":[0.99797547,0.00002894448,0.000051091363,0.000006435332,0.0002634648,0.00023326254,0.000067483954,0.000042313794,0.0013315185],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9981336,0.00012347965,0.00023633914,0.00021852157,0.00073955726,0.00054851867],"domain_scores_gemma":[0.9989652,0.00033860342,0.000026594118,0.0005244844,0.00011451895,0.00003060755],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012787406,0.00014085209,0.00020124561,0.0007175476,0.0003540332,0.0001599184,0.0007919476,0.000075914824,0.000042036238],"category_scores_gemma":[0.00006708959,0.00006635872,0.00022061304,0.002297416,0.00011587278,0.000060150378,0.00025068576,0.00021331143,0.00002263436],"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":[0.000071665396,0.0000150159185,0.022306636,0.00014821939,0.000625416,5.542633e-7,0.004185003,0.9673588,0.0006195921,0.000022020782,0.002761504,0.0018855367],"study_design_scores_gemma":[0.00072092726,0.00008995571,0.05453857,0.00003914057,0.00028072958,1.260929e-7,0.0003560814,0.7315523,0.03775383,0.00017022318,0.17424828,0.00024981788],"about_ca_topic_score_codex":0.00017900154,"about_ca_topic_score_gemma":0.00035243898,"teacher_disagreement_score":0.23580651,"about_ca_system_score_codex":0.000038442886,"about_ca_system_score_gemma":0.000007278311,"threshold_uncertainty_score":0.2722973},"labels":[],"label_agreement":null},{"id":"W4367838408","doi":"10.1029/2022wr033494","title":"An Upscaled Model of Fill‐And‐Spill Hydrological Response","year":2023,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Watershed Management Studies","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":false,"ca_institutions":"University of Waterloo","funders":"Global Water Futures; Natural Sciences and Engineering Research Council of Canada; ArcticNet","keywords":"Surface runoff; Wetland; Environmental science; Hydrology (agriculture); Snowmelt; Runoff model; Terrain; Hydrological modelling; Probabilistic logic; Geology; Ecology; Geotechnical engineering; Statistics; Mathematics","score_opus":0.06465984645157799,"score_gpt":0.3275262667196328,"score_spread":0.26286642026805485,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4367838408","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9927067,0.000010256771,0.000021907386,0.0026975593,0.000011744212,0.00019525098,0.0000046657574,0.000077693956,0.0042742],"genre_scores_gemma":[0.9947026,0.00004521988,0.000093580566,0.00010028172,0.000014299876,0.00004479913,0.0000063633343,0.000011672745,0.0049812263],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9976163,0.0006468695,0.00017831937,0.00040889462,0.00051378756,0.000635831],"domain_scores_gemma":[0.9993573,0.00015902657,0.000015684016,0.0003401308,0.000011802129,0.00011606671],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0035384346,0.00010675551,0.00016828359,0.0001871827,0.00035703232,0.000022203287,0.00039668367,0.000096120144,0.0005276586],"category_scores_gemma":[0.00008542986,0.0000663956,0.00003412615,0.00027920844,0.001086143,0.00008922367,0.0012077527,0.00023024701,0.0009724147],"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":[0.006467256,0.0003804866,0.22295338,0.000091566275,0.00012943178,0.00023765927,0.053542495,0.16473064,0.5361462,0.00021637356,0.011518689,0.0035858105],"study_design_scores_gemma":[0.0020322946,0.0028265761,0.22879763,0.000027722619,0.000034119355,0.000008967214,0.0018142684,0.61689115,0.05173928,0.030786503,0.06431777,0.00072370196],"about_ca_topic_score_codex":0.000110395005,"about_ca_topic_score_gemma":0.000019097914,"teacher_disagreement_score":0.48440692,"about_ca_system_score_codex":0.000025677225,"about_ca_system_score_gemma":0.0000015562526,"threshold_uncertainty_score":0.99980545},"labels":[],"label_agreement":null},{"id":"W4372353120","doi":"10.1029/2021wr031774","title":"A Compositional Global Implicit Approach for Modeling Coupled Multicomponent Reactive Transport","year":2023,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Groundwater flow and contamination 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":false,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Government of Canada","keywords":"Dissolution; Groundwater; Mass transfer; Precipitation; Weathering; Porous medium; Environmental science; Porosity; Process engineering; Chemistry; Geology; Chemical engineering; Geochemistry; Geotechnical engineering; Engineering","score_opus":0.07105674227097981,"score_gpt":0.3291348577169726,"score_spread":0.2580781154459928,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4372353120","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95219135,0.000012924917,0.04491135,0.00040922477,0.000024416187,0.000630083,0.00004626963,0.000089772075,0.0016846322],"genre_scores_gemma":[0.99615693,0.000004583279,0.000807672,0.00003628199,0.000058367812,0.0004936748,0.00026872163,0.000016047334,0.0021577377],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9976608,0.00009201889,0.00021760934,0.00046139248,0.0008771035,0.0006910533],"domain_scores_gemma":[0.99956286,0.000061906605,0.000014735821,0.00018816731,0.00006134247,0.000110972665],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009754253,0.00013538632,0.00017267994,0.00008290182,0.00061665266,0.000058539394,0.00030542555,0.00005965361,0.00009359269],"category_scores_gemma":[0.0000071227314,0.00009648584,0.00008976135,0.0003058203,0.00019463313,0.00012026935,0.0002704552,0.00015109986,0.0003758483],"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":[0.0018493945,0.0010887637,0.07926729,0.00021390626,0.00038930093,0.000072081515,0.041609872,0.22383386,0.634107,0.00043163306,0.0022013145,0.014935563],"study_design_scores_gemma":[0.0012287981,0.00012543438,0.033714265,0.000011641417,0.0000153312,0.000008694433,0.0021638589,0.94331294,0.0033342,0.0005946224,0.015223657,0.00026653564],"about_ca_topic_score_codex":0.0013186063,"about_ca_topic_score_gemma":0.000057845642,"teacher_disagreement_score":0.7194791,"about_ca_system_score_codex":0.0002681846,"about_ca_system_score_gemma":0.0000045613556,"threshold_uncertainty_score":0.48308948},"labels":[],"label_agreement":null},{"id":"W4375853064","doi":"10.1029/2022wr032959","title":"An Interdisciplinary Water Risk Assessment Framework for Sustainable Water Management in Ontario, Canada","year":2023,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Flood Risk Assessment and Management","field":"Environmental Science","cited_by":12,"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":"Social Sciences and Humanities Research Council of Canada","keywords":"Water security; Water quality; Water resources; Risk assessment; Environmental planning; Environmental resource management; Environmental science; Groundwater; Scale (ratio); Risk management; Water resource management; Geography; Business; Engineering; Computer science; Ecology; Cartography","score_opus":0.022512724964223248,"score_gpt":0.3471455975782692,"score_spread":0.32463287261404594,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4375853064","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97184306,0.0000034364193,0.0004669251,0.002153852,0.0001339935,0.0018270807,0.000004419874,0.000077096316,0.023490127],"genre_scores_gemma":[0.9357347,0.000014301513,0.0016009852,0.00008106181,0.000059776215,0.0010238303,0.00020708685,0.00005406179,0.061224185],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9942852,0.00037653415,0.00040304376,0.00088970223,0.0013710734,0.0026744315],"domain_scores_gemma":[0.99882776,0.00007294714,0.000023329696,0.00079658115,0.000038454582,0.00024093487],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.004119115,0.00027520108,0.0002572134,0.00040909686,0.0010816589,0.00036830455,0.0010274511,0.000106056825,0.0042244773],"category_scores_gemma":[0.0000062185327,0.00015592396,0.00007436613,0.0003200697,0.00016409018,0.00042560013,0.0051030386,0.000749573,0.0005171267],"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":[0.001854742,0.0024253903,0.46147949,0.0012095267,0.0008403244,0.0072250445,0.14729522,0.12140906,0.0085812975,0.0045386134,0.22070448,0.022436794],"study_design_scores_gemma":[0.0014730452,0.00069056795,0.13310225,0.000058791487,0.000042720112,0.0000017936071,0.02942726,0.0070686545,0.012131722,0.08122153,0.7339982,0.0007834805],"about_ca_topic_score_codex":0.8798789,"about_ca_topic_score_gemma":0.9448256,"teacher_disagreement_score":0.5132937,"about_ca_system_score_codex":0.0025711036,"about_ca_system_score_gemma":0.000030848518,"threshold_uncertainty_score":0.9966858},"labels":[],"label_agreement":null},{"id":"W4378214151","doi":"10.1029/2022wr033918","title":"In Defense of Metrics: Metrics Sufficiently Encode Typical Human Preferences Regarding Hydrological Model Performance","year":2023,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":57,"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":"Horizon 2020 Framework Programme; Österreichische Forschungsförderungsgesellschaft; Bundesministerium für Bildung, Wissenschaft und Forschung; Austrian Science Fund; European Commission; Nvidia","keywords":"Benchmarking; Computer science; ENCODE; Variety (cybernetics); Suite; Set (abstract data type); Data science; Metric (unit); Machine learning; Artificial intelligence; Geography","score_opus":0.10303420862155563,"score_gpt":0.3333135966286256,"score_spread":0.23027938800706996,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4378214151","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97320896,0.00003105323,0.000031058345,0.0004314819,0.000028681912,0.0002473379,0.000002512487,0.000049630482,0.025969254],"genre_scores_gemma":[0.9960643,0.000133852,0.00011020768,0.000045934976,0.000019804584,0.0000528495,0.000006932508,0.000011982476,0.0035541202],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9968218,0.00035062263,0.00036133963,0.0005210473,0.0010013345,0.0009438096],"domain_scores_gemma":[0.99931806,0.00021009984,0.000037648173,0.00031910551,0.000025225456,0.00008984057],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0037941074,0.00015025584,0.0002769342,0.0010181061,0.0004033825,0.000033224893,0.0006925118,0.00014131701,0.00034560976],"category_scores_gemma":[0.00021057385,0.00009761691,0.00005990124,0.0022175277,0.0007970358,0.0001861276,0.0018032604,0.00049389456,0.0007740777],"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":[0.00033699867,0.0003165454,0.79139715,0.00010556113,0.00004867147,0.00008627117,0.012048043,0.1851066,0.005722608,0.00032559276,0.0035955415,0.0009104316],"study_design_scores_gemma":[0.002271979,0.0019145139,0.16695486,0.00008276127,0.000048327674,0.0000072468506,0.0020398637,0.7467834,0.030326625,0.020791052,0.02782853,0.0009508609],"about_ca_topic_score_codex":0.00019513103,"about_ca_topic_score_gemma":0.00006868598,"teacher_disagreement_score":0.6244423,"about_ca_system_score_codex":0.000104029954,"about_ca_system_score_gemma":0.0000033494673,"threshold_uncertainty_score":0.9949461},"labels":[],"label_agreement":null},{"id":"W4378363929","doi":"10.1029/2022wr034034","title":"Three‐Dimensional Steady‐State Hydraulic Tomography Analysis With Integration of Cross‐Hole Flowmeter Data at a Highly Heterogeneous Site","year":2023,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Groundwater flow and contamination studies","field":"Environmental Science","cited_by":12,"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":"Natural Sciences and Engineering Research Council of Canada; Environmental Security Technology Certification Program; Ontario Research Foundation","keywords":"Flow measurement; Hydraulic conductivity; Hydraulic head; TRACER; Drawdown (hydrology); Flow (mathematics); Steady state (chemistry); Calibration; Characterization (materials science); Geology; Soil science; Groundwater; Geotechnical engineering; Materials science; Mechanics; Mathematics; Aquifer; Physics; Statistics; Chemistry","score_opus":0.05414550322993019,"score_gpt":0.31341616872329364,"score_spread":0.2592706654933635,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4378363929","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99828327,0.00004226434,0.00062398234,0.00028239298,0.00002248804,0.00026430128,0.0001117566,0.000058305744,0.00031126232],"genre_scores_gemma":[0.991574,0.0000070063293,0.00014657546,0.000039746992,0.000020442885,0.00005180251,0.0005240093,0.000021594986,0.00761485],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9965753,0.00020784588,0.00033146914,0.0007182239,0.0015401241,0.00062703795],"domain_scores_gemma":[0.9986839,0.000109731875,0.00005347292,0.0009373004,0.00009742095,0.000118131466],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0012832657,0.0001861096,0.00028052257,0.0006039148,0.0004677725,0.0001581811,0.0006772977,0.000055282933,0.0005621673],"category_scores_gemma":[0.000016766966,0.00011167714,0.00010646387,0.0019506852,0.0007186086,0.00031458022,0.002228428,0.0001874157,0.0011205879],"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":[0.00084806775,0.0002478403,0.7660016,0.000054341825,0.0013318636,0.00021183134,0.0189891,0.048466265,0.14236341,0.0000021177946,0.0031607714,0.018322797],"study_design_scores_gemma":[0.0013255306,0.0006966261,0.71041924,0.00004512502,0.00023485992,0.000014839315,0.00030372437,0.114108905,0.10375749,0.00015190363,0.068316065,0.00062566745],"about_ca_topic_score_codex":0.0029233114,"about_ca_topic_score_gemma":0.011722671,"teacher_disagreement_score":0.06564263,"about_ca_system_score_codex":0.000091981994,"about_ca_system_score_gemma":0.0000042215584,"threshold_uncertainty_score":0.99965715},"labels":[],"label_agreement":null},{"id":"W4379524113","doi":"10.1029/2022wr033153","title":"Quantifying Groundwater's Contribution to Regional Environmental‐Flows in Diverse Hydrologic Landscapes","year":2023,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Watershed Management Studies","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":"Global Institute for Water Security; University of Saskatchewan; University of Victoria","funders":"Canada First Research Excellence Fund","keywords":"Groundwater; Streamflow; Environmental science; Sustainability; Groundwater flow; Hydrology (agriculture); Water resources; Surface water; Water resource management; Environmental resource management; Geography; Aquifer; Geology; Ecology; Environmental engineering; Drainage basin","score_opus":0.0697949391894872,"score_gpt":0.31261435809516436,"score_spread":0.24281941890567715,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4379524113","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99397516,0.000021493888,0.000009727322,0.0042749187,0.000052602405,0.0004562344,0.0000038829326,0.00008512812,0.0011208465],"genre_scores_gemma":[0.9973592,0.00009018825,0.000021453023,0.00026448266,0.000046997495,0.00014385922,0.000060297287,0.000013945917,0.0019995465],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9970993,0.0003901696,0.00021823609,0.00055568875,0.0006688458,0.00106777],"domain_scores_gemma":[0.99950415,0.0000971075,0.000017243605,0.00025702256,0.000004462638,0.000119993216],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0020915992,0.00015626922,0.00018544485,0.00038648464,0.0005620369,0.00005640435,0.0004290028,0.00009958442,0.0012585004],"category_scores_gemma":[0.000035137633,0.000109097826,0.000048965692,0.00048258726,0.0002520899,0.00016938808,0.0016800796,0.0003019614,0.014994385],"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":[0.0003550439,0.00018869342,0.9281761,0.000016898584,0.000043309126,0.00037790867,0.012027028,0.019964682,0.030603828,0.000038700487,0.0071377293,0.0010700976],"study_design_scores_gemma":[0.0013213803,0.0004864691,0.4151519,0.000029076524,0.000011099505,0.000007620095,0.0018279507,0.009208732,0.0037732045,0.0016139976,0.56610984,0.00045874697],"about_ca_topic_score_codex":0.0006376058,"about_ca_topic_score_gemma":0.0007922664,"teacher_disagreement_score":0.55897206,"about_ca_system_score_codex":0.00019561958,"about_ca_system_score_gemma":0.0000010582785,"threshold_uncertainty_score":0.9996545},"labels":[],"label_agreement":null},{"id":"W4380320351","doi":"10.1029/2022wr033767","title":"The Impact of Meteorological Forcing Uncertainty on Hydrological Modeling: A Global Analysis of Cryosphere Basins","year":2023,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":77,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canmore Museum and Geoscience Centre; University of Calgary; University of Saskatchewan","funders":"Global Water Futures; Natural Sciences and Engineering Research Council of Canada; Grains Research and Development Corporation","keywords":"Environmental science; Forcing (mathematics); Precipitation; Climatology; Snow; Cryosphere; Probabilistic logic; Uncertainty analysis; Meteorology; Propagation of uncertainty; Snowmelt; Hydrological modelling; Mathematics; Geology; Geography; Statistics","score_opus":0.07023831103431843,"score_gpt":0.36254670635528724,"score_spread":0.2923083953209688,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4380320351","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9908096,0.000025308245,0.00004728901,0.00092162786,0.000011593949,0.00020164497,0.00001775719,0.00003367621,0.007931454],"genre_scores_gemma":[0.9994367,0.0000575604,0.000013707651,0.000023185352,0.00001166501,0.000027758975,0.000011569325,0.0000053160807,0.00041257968],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9972391,0.00056377775,0.0003095229,0.00038147994,0.00073906593,0.0007670174],"domain_scores_gemma":[0.99910945,0.00033305885,0.000042582913,0.00040780907,0.000027844371,0.000079232595],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002777813,0.00013983031,0.00033660742,0.00010191694,0.0004970883,0.000024670015,0.00063480285,0.00010794812,0.0005030417],"category_scores_gemma":[0.00014461446,0.00006073201,0.0003029912,0.0015745722,0.00096990034,0.00004168413,0.0011347168,0.00024964163,0.00016667151],"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":[0.00037872946,0.00007589522,0.18432418,0.0000036812369,0.0006687252,0.000012474777,0.0008627801,0.8119393,0.0005863692,0.000064879256,0.0005053708,0.00057760364],"study_design_scores_gemma":[0.00030506277,0.0011113383,0.21744649,0.000005756304,0.00015399249,5.8237686e-7,0.0004319221,0.77346563,0.00031873508,0.0054669296,0.0011661623,0.00012739803],"about_ca_topic_score_codex":0.0025492543,"about_ca_topic_score_gemma":0.0005387823,"teacher_disagreement_score":0.03847368,"about_ca_system_score_codex":0.000118997654,"about_ca_system_score_gemma":0.0000037916561,"threshold_uncertainty_score":0.55079544},"labels":[],"label_agreement":null},{"id":"W4381245557","doi":"10.1029/2022wr033897","title":"Impact Evaluation of Water Infrastructure Investments: Methods, Challenges and Demonstration From a Large‐Scale Urban Improvement in Jordan","year":2023,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Water resources management and optimization","field":"Engineering","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":"Impact","funders":"Duke Global Health Institute, Duke University; Millennium Challenge Corporation","keywords":"Sanitation; Environmental planning; Software deployment; Business; Psychological intervention; Environmental economics; Intervention (counseling); Scale (ratio); Water supply; Reuse; Environmental resource management; Engineering; Environmental science; Economics; Environmental engineering; Geography","score_opus":0.05502807210991594,"score_gpt":0.3467910924090379,"score_spread":0.29176302029912193,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4381245557","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9970555,0.0007905708,0.00012335878,0.00012278213,0.00004961687,0.00068001985,0.000013337815,0.00008735978,0.001077498],"genre_scores_gemma":[0.9982039,0.00051093765,0.00066960364,0.0000053015683,0.00007255062,0.00011832793,0.00028311196,0.00003949217,0.00009682462],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9974129,0.00053732784,0.00034586497,0.0003205706,0.00078721787,0.0005961032],"domain_scores_gemma":[0.99943894,0.00004821094,0.000021762316,0.00028549356,0.00011902422,0.00008655919],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0033858786,0.0001788799,0.00021866205,0.0007758513,0.000080200545,0.00009425727,0.00019649345,0.00011817162,0.00013491198],"category_scores_gemma":[0.000028830613,0.000116539166,0.000041923093,0.00027885035,0.00006699734,0.00023414848,0.00024463653,0.00025174557,0.00002476202],"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":[0.000200551,0.00016677727,0.027629761,0.0006616651,0.00047463606,0.000013626236,0.24483727,0.35204807,0.20116538,0.00004477738,0.0010825171,0.17167497],"study_design_scores_gemma":[0.002232484,0.00023469521,0.13119075,0.000111782465,0.000054189404,6.9276183e-7,0.005597357,0.7457011,0.10114541,0.007414175,0.0059655854,0.00035180443],"about_ca_topic_score_codex":0.00013681031,"about_ca_topic_score_gemma":0.00011297131,"teacher_disagreement_score":0.393653,"about_ca_system_score_codex":0.00014077446,"about_ca_system_score_gemma":0.0000061761066,"threshold_uncertainty_score":0.47523293},"labels":[],"label_agreement":null},{"id":"W4381334193","doi":"10.1029/2022wr034230","title":"Potential for Shoreline Recession to Accelerate Discharge of Groundwater Pollutants to Coastal Waters","year":2023,"lang":"en","type":"article","venue":"Water Resources Research","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":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Shore; Aquifer; Groundwater; Sediment; Hydrology (agriculture); Environmental science; Pollutant; Geology; Oceanography; Groundwater discharge; Coastal erosion; Water quality; Groundwater flow; Geomorphology; Ecology","score_opus":0.05003061387265656,"score_gpt":0.31885198068168547,"score_spread":0.2688213668090289,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4381334193","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9948151,0.000012616656,0.0001890955,0.0028178599,0.00023210919,0.00072238705,0.0005059724,0.00006486456,0.00063998444],"genre_scores_gemma":[0.98870987,0.000011560848,0.00025366203,0.00012297982,0.0003064537,0.000028260149,0.0006713974,0.00001796456,0.009877841],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9966929,0.00015304211,0.00039410996,0.0005665775,0.0008924251,0.0013009695],"domain_scores_gemma":[0.9988974,0.00007158267,0.000022952534,0.00035720618,0.00020311256,0.00044777477],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0016391455,0.00020142888,0.00028056884,0.0004970684,0.0003924306,0.0002475515,0.00069200026,0.00010751084,0.0018125167],"category_scores_gemma":[0.00005540342,0.00012198747,0.0000989094,0.00064845924,0.00010559817,0.00017576625,0.0002680129,0.00021874016,0.0016338638],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0044026487,0.0001462585,0.0629592,0.0005596145,0.00011467165,0.00010681013,0.019965233,0.006746564,0.81503195,0.0000038084402,0.026317427,0.06364583],"study_design_scores_gemma":[0.0014305663,0.0019588121,0.10299834,0.0001968987,0.000019702205,0.000021582697,0.003076875,0.0060271416,0.661866,0.00081075437,0.22080295,0.0007904013],"about_ca_topic_score_codex":0.0020261556,"about_ca_topic_score_gemma":0.0006050659,"teacher_disagreement_score":0.19448552,"about_ca_system_score_codex":0.000008836715,"about_ca_system_score_gemma":0.000019582749,"threshold_uncertainty_score":0.9991435},"labels":[],"label_agreement":null},{"id":"W4382020934","doi":"10.1029/2022wr034064","title":"Dynamic Adaptive Environmental Flows (DAE‐Flows) to Reconcile Long‐Term Ecosystem Demands With Hydropower Objectives","year":2023,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Water resources management and optimization","field":"Engineering","cited_by":11,"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":"Inter-American Institute for Global Change Research; Conselho Nacional de Desenvolvimento Científico e Tecnológico","keywords":"Hydropower; Flexibility (engineering); Environmental science; Time horizon; Term (time); Climate change; Ecosystem; Constraint (computer-aided design); Hydroelectricity; Ecosystem services; Environmental resource management; Computer science; Water resource management; Business; Ecology; Engineering; Economics","score_opus":0.01679085414002529,"score_gpt":0.2453020086868592,"score_spread":0.2285111545468339,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4382020934","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9897101,0.00009588024,0.0010795305,0.00008962425,0.00011149057,0.0010068952,0.000042492044,0.0005727511,0.0072912425],"genre_scores_gemma":[0.9919867,0.00007088209,0.00024966183,0.0000114299655,0.00010512036,0.0002447121,0.00016698377,0.0001442278,0.0070202816],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99682266,0.00019308696,0.0003160149,0.0005967753,0.00092580117,0.0011456368],"domain_scores_gemma":[0.9991011,0.000060352544,0.00002085242,0.0005178787,0.000038743183,0.00026108307],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007631806,0.0003322209,0.00030090383,0.00093389006,0.0003249657,0.00027405424,0.0005412408,0.00012193531,0.00037340602],"category_scores_gemma":[0.000007931927,0.00024189113,0.00007878532,0.0006657819,0.000059538543,0.00026766493,0.0004285025,0.00039885563,0.0029542346],"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":[0.00045757368,0.00008062733,0.0045988066,0.00029453216,0.00038858893,0.00028642922,0.024806444,0.95076466,0.012034334,0.000003382864,0.0015865538,0.0046980614],"study_design_scores_gemma":[0.0014663533,0.00093366206,0.012318452,0.00031090114,0.000043173277,0.000022990736,0.0026627714,0.9153071,0.010647321,0.000042178766,0.05519573,0.001049353],"about_ca_topic_score_codex":0.000023984785,"about_ca_topic_score_gemma":0.00038492156,"teacher_disagreement_score":0.053609174,"about_ca_system_score_codex":0.00037089147,"about_ca_system_score_gemma":0.0000055388123,"threshold_uncertainty_score":0.9978221},"labels":[],"label_agreement":null},{"id":"W4384029107","doi":"10.1029/2023wr034690","title":"Effects of Snow Water Storage on Hydrologic Partitioning Across the Mountainous, Western United States","year":2023,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":17,"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":"Nuclear Safety and Security Commission; National Aeronautics and Space Administration; National Oceanic and Atmospheric Administration; National Science Foundation","keywords":"Snowmelt; Streamflow; Snow; Environmental science; Water year; Evapotranspiration; Precipitation; Water storage; Hydrology (agriculture); Meltwater; Climate change; Spring (device); Water resources; Climatology; Physical geography; Drainage basin; Geography; Meteorology; Geology; Ecology","score_opus":0.029197935182349317,"score_gpt":0.30817846258396897,"score_spread":0.27898052740161966,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4384029107","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9940464,0.0000118882035,0.000009897089,0.0045692925,0.00004900944,0.0004401369,0.000005941628,0.00009065955,0.00077676325],"genre_scores_gemma":[0.99184453,0.000069291316,0.0000018988369,0.0004178471,0.000036205794,0.000146503,0.00006662419,0.000019047342,0.0073980615],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99695426,0.0006895087,0.00019958598,0.00037610473,0.00067492,0.0011056373],"domain_scores_gemma":[0.99911684,0.00043031925,0.00002420588,0.00034737212,0.000017719456,0.00006353583],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0023057177,0.00015709047,0.00017583978,0.00015642622,0.0010576982,0.00007271619,0.00055200834,0.00007805937,0.0002336505],"category_scores_gemma":[0.000053968397,0.00007177804,0.0000525465,0.00042547128,0.0010955834,0.00009156264,0.0015031471,0.00037728064,0.0038537285],"study_design_candidate":"bench_or_experimental","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":[0.0009650269,0.00053057796,0.31452918,0.0004150859,0.0004157834,0.00079299713,0.28205878,0.3407083,0.042212315,0.000053905154,0.015522182,0.001795854],"study_design_scores_gemma":[0.0018177428,0.0017686418,0.13380103,0.0001216968,0.000044108103,0.000007739883,0.005060659,0.011530255,0.42920864,0.004708672,0.41132465,0.0006061857],"about_ca_topic_score_codex":0.0009506653,"about_ca_topic_score_gemma":0.00010558393,"teacher_disagreement_score":0.39580247,"about_ca_system_score_codex":0.00006274127,"about_ca_system_score_gemma":8.0744e-7,"threshold_uncertainty_score":0.9969219},"labels":[],"label_agreement":null},{"id":"W4384817951","doi":"10.1029/2022wr033250","title":"Impacts of Uncontrolled Operator Splitting Methods on Parameter Identification, Prediction Uncertainty, and Subsurface Flux Representation in Conceptual Hydrological Models","year":2023,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Groundwater flow and contamination 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":false,"ca_institutions":"University of Windsor; Global Institute for Water Security; University of Calgary; University of Saskatchewan","funders":"Global Water Futures; Canada First Research Excellence Fund","keywords":"Representation (politics); Identifiability; Computer science; Interflow; Discretization; Applied mathematics; Mathematical optimization; Groundwater; Mathematics; Geology; Mathematical analysis; Machine learning; Law","score_opus":0.09080302875852855,"score_gpt":0.3783475253207093,"score_spread":0.28754449656218073,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4384817951","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9976966,0.0000340406,0.0007238823,0.00058368634,0.00003414484,0.00047675098,0.000007891143,0.000038105405,0.00040490564],"genre_scores_gemma":[0.9974766,0.00003176402,0.00018892299,0.000027616523,0.000019217545,0.00012236266,0.00002947143,0.000010695629,0.002093374],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.996802,0.0011892047,0.00043186604,0.0004720059,0.00067481666,0.0004301349],"domain_scores_gemma":[0.9989427,0.0006248353,0.000048999547,0.00024455314,0.000059189682,0.0000797561],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0041648764,0.00011741115,0.00023283083,0.00021676396,0.00022271354,0.00008793523,0.00019567442,0.0000863955,0.00013669638],"category_scores_gemma":[0.0003216653,0.000078742894,0.000038234182,0.0005670094,0.00049971376,0.0002463809,0.0003577209,0.00022381055,0.0001088899],"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":[0.0007235236,0.00017661191,0.3032249,0.000039388517,0.0000715548,0.000020915266,0.06538181,0.1270335,0.47686228,0.00017726206,0.00078898313,0.025499258],"study_design_scores_gemma":[0.0033215676,0.0006768718,0.4124132,0.00006172348,0.000019891444,0.0000046918435,0.012043408,0.4194085,0.14369595,0.004484048,0.0035414111,0.00032872622],"about_ca_topic_score_codex":0.0010879558,"about_ca_topic_score_gemma":0.00012121645,"teacher_disagreement_score":0.33316633,"about_ca_system_score_codex":0.00011448254,"about_ca_system_score_gemma":0.0000046229384,"threshold_uncertainty_score":0.3211042},"labels":[],"label_agreement":null},{"id":"W4385144067","doi":"10.1029/2022wr033847","title":"A Machine Learning Framework for Predicting and Understanding the Canadian Drought Monitor","year":2023,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Drought Analysis","field":"Environmental Science","cited_by":53,"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 Guelph; Agriculture and Agri-Food Canada","funders":"Agriculture and Agri-Food Canada; Natural Sciences and Engineering Research Council of Canada; Canada First Research Excellence Fund","keywords":"Context (archaeology); Climate change; Environmental resource management; Metric (unit); Adaptation (eye); Event (particle physics); Environmental science; Computer science; Geography; Business; Ecology","score_opus":0.06584010868316688,"score_gpt":0.3237578616057545,"score_spread":0.2579177529225876,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385144067","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9856826,0.00007931531,0.0006277948,0.0074273758,0.000037038448,0.00028194283,0.0000062845447,0.000059467475,0.005798169],"genre_scores_gemma":[0.9954056,0.00002573328,0.0001307866,0.00007005677,0.00010962718,0.000055783796,0.000012951103,0.000016876022,0.0041725477],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9981582,0.00027924794,0.00011398764,0.00028869873,0.00039053964,0.00076928944],"domain_scores_gemma":[0.9990776,0.00054963893,0.000014783356,0.00017448388,0.000008394659,0.00017506252],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.00259521,0.00008378414,0.00009746116,0.00016645761,0.002836249,0.00016543202,0.00027450788,0.00011987802,0.0004337754],"category_scores_gemma":[0.0002651731,0.000049121263,0.00004018571,0.00054557016,0.00044980337,0.00007341629,0.00030155157,0.00060864293,0.00032485853],"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":[0.00008495633,0.000012945475,0.9406681,0.00002971549,0.00010432414,0.00005562934,0.043947984,0.009628285,0.00079267647,0.0010778508,0.0013069296,0.0022905953],"study_design_scores_gemma":[0.00059128285,0.00031835414,0.02381789,0.000058718324,0.000057283483,0.00001859004,0.009484001,0.48000672,0.0012059192,0.12869984,0.35529977,0.00044162344],"about_ca_topic_score_codex":0.073397025,"about_ca_topic_score_gemma":0.11334052,"teacher_disagreement_score":0.9168502,"about_ca_system_score_codex":0.00022371848,"about_ca_system_score_gemma":0.00000694356,"threshold_uncertainty_score":0.9984619},"labels":[],"label_agreement":null},{"id":"W4385347725","doi":"10.1029/2022wr032146","title":"Numerical Study of Coupled Water and Vapor Flow, Heat Transfer, and Solute Transport in Variably‐Saturated Deformable Soil During Freeze‐Thaw Cycles","year":2023,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":52,"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":"Los Alamos National Laboratory; Natural Sciences and Engineering Research Council of Canada; National Nuclear Security Administration; U.S. Department of Energy","keywords":"Vadose zone; Hydraulic conductivity; Permafrost; Frost heaving; Soil water; Groundwater; Soil science; Silt; Pore water pressure; Water flow; Geotechnical engineering; Environmental science; Heat transfer; Water transport; Geology; Groundwater flow; Water content; Advection; Hydrology (agriculture); Aquifer; Mechanics; Geomorphology; Thermodynamics","score_opus":0.05770383188526248,"score_gpt":0.2816280353286582,"score_spread":0.22392420344339573,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385347725","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99849206,0.00021222254,8.676437e-7,0.00021597747,0.000045687695,0.0004599339,0.00031154952,0.000038760558,0.00022291538],"genre_scores_gemma":[0.9983672,0.0003290632,0.0000032851906,0.00001171925,0.000054655025,0.000011779466,0.00094325945,0.00001272552,0.00026632764],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99740523,0.00022170316,0.00037506598,0.00043478401,0.00060299854,0.00096021866],"domain_scores_gemma":[0.9994261,0.00010779523,0.000006049396,0.0002081324,0.000054030334,0.00019785765],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0012878714,0.0001862583,0.0003563774,0.00042927396,0.00033679706,0.00009372827,0.00021446655,0.00011002962,0.0012853047],"category_scores_gemma":[0.0000066410057,0.000111056994,0.0000332446,0.00044777538,0.00017716545,0.00021527949,0.000049287453,0.00037627862,0.000052139963],"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":[0.0007466078,0.0000922422,0.90298235,0.00026427413,0.000039427152,0.00030032409,0.05437573,0.0068882774,0.03397185,1.3273898e-7,0.000019704921,0.00031905493],"study_design_scores_gemma":[0.00244338,0.0005911767,0.90614283,0.00006644222,0.00001634802,0.000034925593,0.0058232136,0.07031556,0.013692885,0.000041260224,0.0005567631,0.00027522517],"about_ca_topic_score_codex":0.07656556,"about_ca_topic_score_gemma":0.044828918,"teacher_disagreement_score":0.063427284,"about_ca_system_score_codex":0.000005972931,"about_ca_system_score_gemma":0.000010069756,"threshold_uncertainty_score":0.99962765},"labels":[],"label_agreement":null},{"id":"W4385487189","doi":"10.1029/2022wr033399","title":"Early Warning Indicators of Groundwater Drought in Mountainous Regions","year":2023,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Drought Analysis","field":"Environmental Science","cited_by":27,"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 British Columbia; Simon Fraser University","funders":"Simon Fraser University; University of Alberta","keywords":"Aquifer; Groundwater; Snowmelt; Environmental science; Streamflow; Hydrology (agriculture); Spring (device); Precipitation; Climate change; Climatology; Snow; Drainage basin; Geology; Geography; Meteorology","score_opus":0.02826553396166532,"score_gpt":0.3005097831863181,"score_spread":0.2722442492246528,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385487189","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98748404,0.000016486163,0.000010993917,0.0007828675,0.00001623188,0.00013749844,0.0000010888183,0.000043653785,0.011507152],"genre_scores_gemma":[0.9906004,0.000021948657,0.000022754808,0.000027852147,0.00002933929,0.000040576186,0.000014329197,0.000017635879,0.009225168],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99723846,0.0004936675,0.00028796925,0.00039081165,0.00075391843,0.00083519256],"domain_scores_gemma":[0.9993496,0.00012594447,0.00003100128,0.00037505815,0.000010316168,0.00010806237],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.002200979,0.0001093315,0.00020465258,0.0008289453,0.00025860206,0.000034472952,0.0005340479,0.00014254155,0.0015214515],"category_scores_gemma":[0.000052367366,0.00007631836,0.00007410935,0.0021302942,0.0006795175,0.000158247,0.00069780607,0.0004933336,0.0036451172],"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":[0.00006962699,0.00010974901,0.9506992,0.000016391452,0.00003232357,0.00019002763,0.03598992,0.0023334157,0.008317342,0.00005108539,0.00095607457,0.0012348244],"study_design_scores_gemma":[0.0009648141,0.00046732687,0.7927392,0.00004788905,0.00002275568,0.0000123854425,0.0021880164,0.0037000203,0.024476178,0.00717388,0.16772956,0.000477948],"about_ca_topic_score_codex":0.0063324147,"about_ca_topic_score_gemma":0.0006984678,"teacher_disagreement_score":0.16677348,"about_ca_system_score_codex":0.00011080915,"about_ca_system_score_gemma":0.0000050165304,"threshold_uncertainty_score":0.9993913},"labels":[],"label_agreement":null},{"id":"W4385725197","doi":"10.1029/2023wr034920","title":"On Groundwater Recharge in Variably Saturated Subsurface Flow Models","year":2023,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Groundwater flow and contamination studies","field":"Environmental Science","cited_by":36,"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":"","keywords":"Groundwater recharge; Water table; Depression-focused recharge; Evapotranspiration; Groundwater; Vadose zone; Subsurface flow; Groundwater model; Capillary fringe; Hydrology (agriculture); Groundwater flow; Geology; Environmental science; Aquifer; Geotechnical engineering","score_opus":0.06521600718816208,"score_gpt":0.3040345273645984,"score_spread":0.23881852017643634,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385725197","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9860477,0.000015030195,0.00021159975,0.001296431,0.000090066715,0.00035670467,0.0000055170717,0.00013292143,0.0118440315],"genre_scores_gemma":[0.9346199,0.0000250164,0.000064170265,0.000106455576,0.00003147518,0.00012195103,0.000037933853,0.00003079453,0.06496232],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.99634045,0.0005053045,0.00028013653,0.000614662,0.0011658577,0.0010935952],"domain_scores_gemma":[0.99925125,0.0001751271,0.000016632652,0.00040442342,0.000036820016,0.000115750205],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.002481204,0.00019167586,0.00020815893,0.00035674978,0.00038254732,0.00017805712,0.00048712135,0.00011956484,0.0014738151],"category_scores_gemma":[0.000041956042,0.00012658628,0.000048909613,0.0011260865,0.00021743916,0.00030768343,0.0007216232,0.00049945054,0.011678802],"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":[0.0019609064,0.001590106,0.067698196,0.00020181897,0.00022801683,0.0014919871,0.20364743,0.25408033,0.25958064,0.0016391972,0.114510335,0.093371026],"study_design_scores_gemma":[0.00384777,0.0010026621,0.08396731,0.000188685,0.0000144203195,0.000016831495,0.0037411645,0.31769395,0.06180795,0.028538803,0.49757475,0.0016057133],"about_ca_topic_score_codex":0.0015536085,"about_ca_topic_score_gemma":0.00042198662,"teacher_disagreement_score":0.38306442,"about_ca_system_score_codex":0.00028781017,"about_ca_system_score_gemma":0.0000043386085,"threshold_uncertainty_score":0.999439},"labels":[],"label_agreement":null},{"id":"W4385872233","doi":"10.1029/2022wr034169","title":"Mapping Surface Water Presence and Hyporheic Flow Properties of Headwater Stream Networks With Multispectral Satellite Imagery","year":2023,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada; Oak Ridge Institute for Science and Education; U.S. Forest Service; Simon Fraser University; U.S. Department of Agriculture","keywords":"Channel (broadcasting); Riparian zone; Channelized; Remote sensing; Hydrology (agriculture); Satellite imagery; Multispectral image; Environmental science; Tributary; Geology; Geography; Computer science; Cartography","score_opus":0.036521802092457034,"score_gpt":0.2536660841130477,"score_spread":0.21714428202059066,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385872233","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9963086,0.00018255237,0.000030708616,0.0014990848,0.00003144406,0.00047927024,0.0000018962669,0.000085697095,0.0013807124],"genre_scores_gemma":[0.99137974,0.0003421365,0.00020150101,0.0000318698,0.000035101013,0.000044859793,0.000012505459,0.000028026026,0.007924249],"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9970717,0.0003134633,0.00025549033,0.0005639524,0.0006044525,0.00119095],"domain_scores_gemma":[0.99943376,0.000061317456,0.000021698666,0.0003498536,0.000026046571,0.00010734703],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014484896,0.000208421,0.0002619743,0.00015603233,0.00047524978,0.00008493561,0.00033952837,0.0000820787,0.00020561583],"category_scores_gemma":[0.000013106188,0.00010280903,0.000037102654,0.00030792764,0.0015493396,0.00024964745,0.0014139435,0.00033468296,0.0004453062],"study_design_candidate":"bench_or_experimental","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":[0.0008522283,0.00015934622,0.452129,0.00039423184,0.00028214607,0.00034694627,0.080172785,0.11758802,0.34070787,0.0000015818077,0.0028335457,0.0045323116],"study_design_scores_gemma":[0.0021036102,0.00093837245,0.13400933,0.00041185025,0.0000452135,0.000040069535,0.0067660413,0.10620813,0.6844559,0.00030131443,0.06353743,0.0011827456],"about_ca_topic_score_codex":0.0007307095,"about_ca_topic_score_gemma":0.00013513144,"teacher_disagreement_score":0.34374803,"about_ca_system_score_codex":0.000036772093,"about_ca_system_score_gemma":0.0000018445469,"threshold_uncertainty_score":0.57236594},"labels":[],"label_agreement":null},{"id":"W4386011567","doi":"10.1029/2023wr035191","title":"Hydraulic Tomography Estimates Improved by Zonal Information From the Clustering of Geophysical Survey Data","year":2023,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Groundwater flow and contamination studies","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":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; China Scholarship Council","keywords":"Cluster analysis; Borehole; Geology; Geophysics; Tomography; Inversion (geology); Electrical resistivity tomography; Geostatistics; Spatial variability; Petrophysics; Seismology; Computer science; Geotechnical engineering; Mathematics; Machine learning; Statistics; Engineering","score_opus":0.05637283982322304,"score_gpt":0.3044452054368673,"score_spread":0.24807236561364426,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386011567","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.997647,0.000023896684,0.000833044,0.00058250513,0.000037189442,0.00018956933,0.0002882122,0.00003680534,0.00036176195],"genre_scores_gemma":[0.9979469,0.000012279969,0.000048950948,0.000053821354,0.000027882548,0.000030046222,0.0012681508,0.000007753294,0.000604221],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9981847,0.00023574459,0.00022334856,0.00023268841,0.0007390874,0.00038446192],"domain_scores_gemma":[0.9989141,0.00044935386,0.00003111337,0.0005217742,0.000034560144,0.000049085003],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016358416,0.000094103605,0.00012119568,0.00006603482,0.00032060436,0.00014485435,0.0009421999,0.000037243608,0.00019010266],"category_scores_gemma":[0.00009606728,0.000052749667,0.000028937407,0.00047897373,0.00038745534,0.0004721336,0.0025847226,0.0001754197,0.0007488929],"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":[0.0002469672,0.00012617731,0.65520555,0.000047824287,0.00017854836,0.000003820505,0.03382756,0.00029288913,0.084284104,0.000002328336,0.08483599,0.14094822],"study_design_scores_gemma":[0.00027996488,0.00006246129,0.8101294,0.000010859282,0.000005916773,3.732449e-7,0.0008841519,0.059156235,0.006290088,0.000097424185,0.122963615,0.00011953127],"about_ca_topic_score_codex":0.02707682,"about_ca_topic_score_gemma":0.0012212469,"teacher_disagreement_score":0.15492381,"about_ca_system_score_codex":0.000023967264,"about_ca_system_score_gemma":0.000002777981,"threshold_uncertainty_score":0.97940195},"labels":[],"label_agreement":null},{"id":"W4386011894","doi":"10.1029/2022wr033363","title":"Predicting Hydrological Change in an Alpine Glacierized Basin and Its Sensitivity to Landscape Evolution and Meteorological Forcings","year":2023,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Cryospheric studies and observations","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":"Canmore Museum and Geoscience Centre; University of Saskatchewan","funders":"Global Water Futures; Alberta Innovates; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Canada Foundation for Innovation","keywords":"Streamflow; Glacier; Snowmelt; Deglaciation; Environmental science; Weather Research and Forecasting Model; Precipitation; Climatology; Climate change; Surface runoff; Drainage basin; Snow; Hydrometeorology; Hydrological modelling; Hydrology (agriculture); Geology; Physical geography; Meteorology; Glacial period; Geography; Geomorphology","score_opus":0.10322548223982218,"score_gpt":0.313871461010459,"score_spread":0.2106459787706368,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386011894","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99625134,0.00029838,0.0000042607176,0.0028642989,0.000027003716,0.00035764222,0.000023793304,0.000060284496,0.00011300443],"genre_scores_gemma":[0.99941146,0.000098807475,0.00006715457,0.00014815328,0.00012684226,0.000016319465,0.000043201864,0.0000032570383,0.000084800915],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998172,0.00039718923,0.00014300749,0.00037923895,0.00032443923,0.0005841578],"domain_scores_gemma":[0.9993345,0.00032838172,0.000011783579,0.00009462914,0.000050022976,0.00018066657],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002328356,0.00009592947,0.0001801781,0.00014375223,0.00039156317,0.0000883878,0.00008118259,0.00008139138,0.00016430674],"category_scores_gemma":[0.00023661068,0.000060299724,0.000015636353,0.00057908986,0.000089999725,0.00016391084,0.00015734244,0.00022224961,0.00004623728],"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":[0.00014668607,0.000009110679,0.9903214,0.000012962208,0.0000043409455,0.000046163008,0.004015313,0.00023340929,0.0009082375,0.0000063868883,0.000027986973,0.0042680185],"study_design_scores_gemma":[0.0002250656,0.00035821885,0.8301816,0.0000083753075,0.0000019715537,0.00000662385,0.000644625,0.16645905,0.00003170162,0.00008818489,0.0019238736,0.00007072514],"about_ca_topic_score_codex":0.0039832653,"about_ca_topic_score_gemma":0.008608284,"teacher_disagreement_score":0.16622564,"about_ca_system_score_codex":0.000006110361,"about_ca_system_score_gemma":0.0000036335834,"threshold_uncertainty_score":0.6021532},"labels":[],"label_agreement":null},{"id":"W4386053913","doi":"10.1029/2022wr032831","title":"Defining Renewable Groundwater Use and Its Relevance to Sustainable Groundwater Management","year":2023,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Groundwater flow and contamination studies","field":"Environmental Science","cited_by":58,"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; Ocean Networks Canada Society; University of Victoria","funders":"Natural Environment Research Council; Sight Research UK; European Research Council; Canadian Institute for Advanced Research","keywords":"Groundwater; Groundwater recharge; Renewable energy; Aquifer; Sustainability; Environmental science; Groundwater model; Depression-focused recharge; Water resource management; Environmental economics; Geology; Engineering; Economics; Ecology","score_opus":0.03884597003394156,"score_gpt":0.2910701065773384,"score_spread":0.2522241365433968,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386053913","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98967296,0.00007543743,0.00015571536,0.0017149298,0.00005668106,0.0006467857,0.00000191297,0.00016113083,0.0075144493],"genre_scores_gemma":[0.64604807,0.0000753288,0.00013324562,0.00015025001,0.000026434176,0.00024854267,0.000012137089,0.00003110547,0.3532749],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99593115,0.0002593698,0.0002852338,0.00079507875,0.001094955,0.0016342009],"domain_scores_gemma":[0.9990885,0.00014864707,0.000019341242,0.00041675207,0.00008412043,0.00024262199],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0020193923,0.00023055683,0.00021579082,0.00042907058,0.0010980016,0.0007563448,0.00044745812,0.00007324505,0.0005015699],"category_scores_gemma":[0.00007197465,0.00016231042,0.00004355283,0.0009185165,0.00018619228,0.00079272164,0.0032940719,0.00022564367,0.007934835],"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":[0.001727961,0.0010964045,0.27688676,0.0020085967,0.00078088744,0.006230488,0.21033688,0.013578157,0.111290015,0.007360951,0.28291172,0.085791185],"study_design_scores_gemma":[0.0003988312,0.0001993349,0.036803946,0.00003446375,0.000009493329,0.000009202959,0.0037206083,0.00034092672,0.0092568,0.0005853174,0.9483279,0.00031318833],"about_ca_topic_score_codex":0.0029770944,"about_ca_topic_score_gemma":0.00037012188,"teacher_disagreement_score":0.6654162,"about_ca_system_score_codex":0.0002618276,"about_ca_system_score_gemma":0.0000025626807,"threshold_uncertainty_score":0.9928376},"labels":[],"label_agreement":null},{"id":"W4386134995","doi":"10.1029/2023wr034715","title":"Thermal Dispersion in a Fracture‐Matrix System With Application to Geothermal Energy Extraction","year":2023,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Groundwater flow and contamination 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 Calgary","funders":"University of Calgary; University of Wyoming; U.S. Department of Energy","keywords":"Péclet number; Mechanics; Matrix (chemical analysis); Geothermal gradient; Fracture (geology); Porous medium; Materials science; Dimensionless quantity; Dispersion (optics); Geotechnical engineering; Geology; Porosity; Geophysics; Composite material; Physics; Optics","score_opus":0.015705918544228255,"score_gpt":0.2870222612875197,"score_spread":0.2713163427432914,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386134995","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99225724,0.000011965932,0.0046164314,0.00096986466,0.00001922611,0.00027359027,0.0000013055618,0.00008398071,0.0017664209],"genre_scores_gemma":[0.9900439,0.0000033220467,0.000021551956,0.00004695408,0.0000562149,0.00029953144,0.000013861386,0.000018698309,0.009496009],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.99806553,0.00018283197,0.00014761213,0.00035890585,0.00075540284,0.0004897265],"domain_scores_gemma":[0.99959654,0.000051889238,0.000017268141,0.00022856779,0.000021188505,0.00008454579],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00074530125,0.00010463152,0.0001078763,0.00023568251,0.00026997546,0.00007605905,0.0002311152,0.000055167686,0.00015697702],"category_scores_gemma":[0.000005167923,0.00006368961,0.000022009457,0.00061940117,0.00008637384,0.00015539455,0.0002638002,0.00015207971,0.0020714626],"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":[0.00086977636,0.00021211988,0.16937755,0.000098659715,0.00004196382,0.00017649533,0.04039622,0.15013704,0.5219856,0.0001253444,0.002474857,0.11410439],"study_design_scores_gemma":[0.00062794186,0.00022624106,0.38181734,0.00005853853,0.000004690509,0.000008908369,0.0053275093,0.022480857,0.027068147,0.0000113788055,0.5620764,0.00029206718],"about_ca_topic_score_codex":0.0058346377,"about_ca_topic_score_gemma":0.0009244016,"teacher_disagreement_score":0.5596015,"about_ca_system_score_codex":0.0002613336,"about_ca_system_score_gemma":0.0000025786221,"threshold_uncertainty_score":0.99870557},"labels":[],"label_agreement":null},{"id":"W4386738766","doi":"10.1029/2022wr034155","title":"Upland Hillslope Groundwater Subsidy Affects Low‐Flow Storage–Discharge Relationship","year":2023,"lang":"en","type":"article","venue":"Water Resources Research","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":false,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Groundwater; Hydrograph; Environmental science; Hydrology (agriculture); Groundwater flow; Flow (mathematics); Water storage; Bedrock; Groundwater discharge; Aquifer; Geology; Surface runoff; Geotechnical engineering; Mathematics; Geomorphology; Ecology","score_opus":0.04455248286880991,"score_gpt":0.2961917728877133,"score_spread":0.2516392900189034,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386738766","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9732608,0.000030227675,0.000023438875,0.003973772,0.00013755905,0.00047009537,0.0000049340506,0.0002008892,0.02189828],"genre_scores_gemma":[0.94277227,0.00004324214,0.00003492983,0.00012097302,0.00010754972,0.00012787867,0.00007715176,0.000033176304,0.056682847],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9965145,0.0005793191,0.00019531735,0.0006047128,0.00086777296,0.001238375],"domain_scores_gemma":[0.9991052,0.00023461509,0.000022200094,0.0004646844,0.000014531699,0.00015878218],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0026369956,0.0001999009,0.0001976622,0.00026002887,0.0011858549,0.00013527207,0.0005277827,0.0001324874,0.0028615084],"category_scores_gemma":[0.0000818895,0.00013130835,0.00006690334,0.0006631463,0.0006028576,0.00029310348,0.0014568331,0.0005201299,0.031543195],"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":[0.00019740193,0.00018065174,0.8232392,0.00011531635,0.000104224215,0.00037940257,0.020447519,0.008556409,0.0035380968,0.000078635436,0.14223547,0.0009276778],"study_design_scores_gemma":[0.0010630536,0.00031824058,0.48818514,0.00004316073,0.000022172506,0.000009415282,0.00063219474,0.0047540925,0.0037663209,0.002963323,0.49769112,0.0005517744],"about_ca_topic_score_codex":0.0002583912,"about_ca_topic_score_gemma":0.00016969146,"teacher_disagreement_score":0.35545564,"about_ca_system_score_codex":0.000117983815,"about_ca_system_score_gemma":0.0000024721367,"threshold_uncertainty_score":0.99805003},"labels":[],"label_agreement":null},{"id":"W4386967793","doi":"10.1029/2023wr035345","title":"Degradation of a Foreland River After the Wenchuan Earthquake, China: A Combined Effect of Weirs, Sediment Supply, and Sediment Mining","year":2023,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Sediment Transport Processes","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":"University of British Columbia","funders":"National Natural Science Foundation of China","keywords":"Weir; Sediment; Foreland basin; Hydrology (agriculture); Geology; Channel (broadcasting); Degradation (telecommunications); Bed load; Sediment transport; Geotechnical engineering; Geomorphology; Structural basin; Engineering; Geography","score_opus":0.013713099854249148,"score_gpt":0.25933371675261135,"score_spread":0.2456206168983622,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386967793","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9978584,0.00011502332,0.0000058005653,0.00082925963,0.000025032907,0.0004931841,0.000009927155,0.000019369081,0.00064397114],"genre_scores_gemma":[0.9983648,0.0000596377,0.000028878132,0.000016894079,0.000013697951,0.00011000975,0.000030538697,0.0000120693585,0.0013634777],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9979835,0.00032531563,0.0002481342,0.0002882486,0.00072337093,0.0004314427],"domain_scores_gemma":[0.99939734,0.0002392362,0.00003960822,0.00023348149,0.000013806999,0.00007651036],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021390605,0.00012836904,0.00020307387,0.00012800474,0.0001997938,0.000017334523,0.00024229643,0.000079561,0.00078078225],"category_scores_gemma":[0.000022153075,0.000068064975,0.000046899484,0.00034455294,0.0008661577,0.00010203676,0.00026998445,0.00019790427,0.00007556569],"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":[0.0013525425,0.00008367494,0.9565726,0.00020534518,0.00007322952,0.00003045173,0.024667999,0.00058705325,0.01121649,0.000005461754,0.00081215263,0.0043929904],"study_design_scores_gemma":[0.0019435566,0.0021874963,0.8404484,0.00010638754,0.000051445826,0.0000070427773,0.0003265131,0.0019202037,0.13848741,0.00025766712,0.014080897,0.00018301119],"about_ca_topic_score_codex":0.0005042193,"about_ca_topic_score_gemma":0.00009284378,"teacher_disagreement_score":0.12727092,"about_ca_system_score_codex":0.000020229163,"about_ca_system_score_gemma":0.000004647154,"threshold_uncertainty_score":0.8549018},"labels":[],"label_agreement":null},{"id":"W4387187656","doi":"10.1029/2023wr035820","title":"Morphologic, Atmospheric, and Oceanic Drivers Cause Multi‐Temporal Saltwater Intrusion on a Remote, Sand Island","year":2023,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Coastal and Marine Dynamics","field":"Earth and Planetary Sciences","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":"Western University; Dalhousie University","funders":"Canada Research Chairs","keywords":"Groundwater recharge; Saltwater intrusion; Geology; Water table; Groundwater; Oceanography; Hydrology (agriculture); Climate change; Environmental science; Aquifer","score_opus":0.04058331901569259,"score_gpt":0.2789735787983697,"score_spread":0.2383902597826771,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387187656","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9957796,0.00004644463,0.000022484875,0.00052130374,0.000102105405,0.0002710484,0.00005307277,0.00010480478,0.0030991323],"genre_scores_gemma":[0.9837745,0.00028157182,0.0003523057,0.00008502397,0.000094204996,0.0000011962751,0.00029403315,0.000010853279,0.015106353],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9977415,0.00024446574,0.0001845207,0.00048413305,0.00056700746,0.0007783737],"domain_scores_gemma":[0.99928105,0.00015418562,0.00002160186,0.0002673089,0.00005531657,0.00022056595],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00086533144,0.00017489989,0.00018625369,0.00011421995,0.00043470462,0.00019325307,0.00027830192,0.0001082987,0.0011570209],"category_scores_gemma":[0.00005213284,0.000103502076,0.000043292886,0.0003977643,0.00028081247,0.000112672285,0.00030515832,0.00042160606,0.0012388743],"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":[0.00088166527,0.000055053242,0.82525045,0.00011186378,0.000060615646,0.0014094593,0.0065487744,0.0010598827,0.0014033034,0.0000062056138,0.006229365,0.15698336],"study_design_scores_gemma":[0.001429419,0.0010840469,0.65303373,0.000054406533,0.000010853908,0.0000651438,0.0008737314,0.15575662,0.00041781788,0.0007247923,0.18609636,0.00045310927],"about_ca_topic_score_codex":0.0071618976,"about_ca_topic_score_gemma":0.004438843,"teacher_disagreement_score":0.17986698,"about_ca_system_score_codex":0.000010407638,"about_ca_system_score_gemma":0.000012372122,"threshold_uncertainty_score":0.99975604},"labels":[],"label_agreement":null},{"id":"W4387619100","doi":"10.1029/2023wr035573","title":"Model Validation and Sensitivity Analysis of Coupled Non‐Equilibrium Heat and Mass Transfer in Porous Media With Application to Evaporation From Bare Soils","year":2023,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Soil and Unsaturated Flow","field":"Engineering","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":"Western University; Hudbay Minerals (Canada); University of Toronto; Hatch (Canada)","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Evaporation; Water vapor; Environmental science; Soil water; Heat transfer; Sensible heat; Mass transfer; Porous medium; Dispersion (optics); Materials science; Soil science; Mechanics; Atmospheric sciences; Porosity; Thermodynamics; Meteorology; Geology","score_opus":0.025916476107648745,"score_gpt":0.26448876402619853,"score_spread":0.23857228791854979,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387619100","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99485487,0.000026140298,0.0045436416,0.00016036135,0.000005228394,0.00025760627,0.000048506932,0.0000580922,0.00004554182],"genre_scores_gemma":[0.9993709,0.000025256755,0.0000854738,0.000004273804,0.00001974602,0.0000470253,0.00041217334,0.000018955201,0.000016212227],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99889994,0.00007953042,0.00016506387,0.00024882136,0.0003646502,0.00024199659],"domain_scores_gemma":[0.99953645,0.00011060636,0.0000031138584,0.00017301178,0.00009508083,0.000081715334],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006057226,0.00009662909,0.00020754636,0.00065117114,0.000035003275,0.000055616707,0.000042549364,0.00008665431,0.0000041863673],"category_scores_gemma":[0.00001225848,0.0000729664,0.000015681271,0.0010900453,0.000043895045,0.00011894355,0.00002555532,0.00015146649,0.0000050672393],"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":[0.00008463204,0.000005388626,0.0053309584,0.00003168989,0.000058827634,0.000005040423,0.006877543,0.53987366,0.44730914,7.784907e-7,0.0000063002917,0.0004160594],"study_design_scores_gemma":[0.000248954,0.000021865957,0.026307708,0.00001954492,0.00003366798,3.601842e-7,0.0002962669,0.88340414,0.08953937,0.000038180326,0.000007412985,0.000082554696],"about_ca_topic_score_codex":0.00090825965,"about_ca_topic_score_gemma":0.0011673415,"teacher_disagreement_score":0.35776976,"about_ca_system_score_codex":0.00003269468,"about_ca_system_score_gemma":0.000006440074,"threshold_uncertainty_score":0.29754835},"labels":[],"label_agreement":null},{"id":"W4387736997","doi":"10.1029/2023wr035398","title":"Controls on Saturated Hydraulic Conductivity in a Degrading Permafrost Peatland Complex","year":2023,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Peatlands and Wetlands Ecology","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":"Carleton University","funders":"Natural Environment Research Council; Sight Research UK; Leverhulme Trust; Quaternary Research Association","keywords":"Peat; Permafrost; Boreal; Mire; Hydraulic conductivity; Bog; Environmental science; Bulk density; Soil science; Geology; Hydrology (agriculture); Temperate climate; Ecology; Soil water; Geotechnical engineering","score_opus":0.08939934797949575,"score_gpt":0.3360105133042212,"score_spread":0.24661116532472546,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387736997","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97882146,0.000008078143,8.092148e-7,0.0021359532,0.000036227026,0.00035642085,0.000024801151,0.00007098283,0.018545263],"genre_scores_gemma":[0.9956349,0.000015838525,0.0000056640197,0.00015115937,0.00006800059,0.00007208105,0.00018489483,0.000020229343,0.0038471993],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99703074,0.00056790654,0.00021347588,0.0005082299,0.00060160377,0.0010780521],"domain_scores_gemma":[0.9992093,0.00029637525,0.000020837024,0.00029680066,0.000013137238,0.00016358022],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0016266296,0.00015713915,0.00025889737,0.00032373186,0.0003433974,0.00011244144,0.00038536757,0.00011195747,0.0016403381],"category_scores_gemma":[0.000089182504,0.000102463746,0.00004868504,0.0007213929,0.00037534515,0.00010538419,0.00042840643,0.0005373964,0.0029945285],"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":[0.00030004862,0.00011182757,0.7941599,0.00001316677,0.000013725699,0.0003401293,0.0034748646,0.0009171273,0.18908331,0.000013730107,0.009998245,0.0015739162],"study_design_scores_gemma":[0.0013814208,0.00027944671,0.8642587,0.000016749109,0.0000026020953,0.00001103542,0.0003138174,0.0059133125,0.0027759995,0.00034515117,0.1245064,0.00019533688],"about_ca_topic_score_codex":0.001459289,"about_ca_topic_score_gemma":0.002684236,"teacher_disagreement_score":0.18630731,"about_ca_system_score_codex":0.00019763061,"about_ca_system_score_gemma":0.000005416928,"threshold_uncertainty_score":0.9992723},"labels":[],"label_agreement":null},{"id":"W4388020093","doi":"10.1029/2023wr034848","title":"Concentrations and Yields of Mercury, Methylmercury, and Dissolved Organic Carbon From Contrasting Catchments in the Discontinuous Permafrost Region, Western Canada","year":2023,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Mercury impact and mitigation studies","field":"Environmental Science","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Fisheries and Oceans Canada; Inro Consultants (Canada); Université de Montréal; University of Alberta","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada; Canada Foundation for Innovation; Weston Family Foundation; Polar Knowledge Canada","keywords":"Methylmercury; Permafrost; Peat; Dissolved organic carbon; Drainage basin; Hydrology (agriculture); Environmental science; Environmental chemistry; Surface runoff; Mercury (programming language); Total organic carbon; Boreal; Surface water; Chemistry; Ecology; Geology; Environmental engineering; Bioaccumulation; Oceanography; Geography","score_opus":0.043909913942772376,"score_gpt":0.30060607910607456,"score_spread":0.2566961651633022,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388020093","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9953226,0.00020013037,0.0000018609077,0.0034121925,0.000028630662,0.00029120577,0.00004520544,0.000008284729,0.0006899033],"genre_scores_gemma":[0.9992552,0.0001350165,0.000003100126,0.000060353505,0.000027008577,0.000027873359,0.00003269704,0.000009392193,0.0004493757],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99819213,0.00035101268,0.00023429234,0.0002531184,0.00055017666,0.00041925366],"domain_scores_gemma":[0.99926937,0.00040399696,0.00003632624,0.00018587799,0.000015995869,0.00008843004],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007297332,0.00010652967,0.00017586465,0.000050853905,0.00024982126,0.000066022374,0.00019596599,0.000038694394,0.00006036336],"category_scores_gemma":[0.00010831111,0.00006433333,0.000012643724,0.00029755878,0.0004261949,0.00007797798,0.00029928054,0.00020946389,0.0000050736426],"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":[0.000016591159,0.000014511478,0.91244537,0.000011534633,0.000020310767,0.000028220207,0.048398577,0.000009962129,0.03775626,0.0000027799083,0.0006818626,0.00061404356],"study_design_scores_gemma":[0.00043573868,0.000050039813,0.96574146,0.000044993754,0.000014695906,0.0000057780667,0.021243012,0.0003382205,0.0074729086,0.00011774112,0.0044005644,0.00013487744],"about_ca_topic_score_codex":0.44513887,"about_ca_topic_score_gemma":0.4776841,"teacher_disagreement_score":0.053296085,"about_ca_system_score_codex":0.00005912743,"about_ca_system_score_gemma":0.000018001047,"threshold_uncertainty_score":0.55855596},"labels":[],"label_agreement":null},{"id":"W4388094682","doi":"10.1029/2023wr034752","title":"Runoff Threshold Responses in Continental Boreal Catchments: Nexus of Subhumid Climate, Low‐Relief, Surficial Geology, and Land Cover","year":2023,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Watershed Management Studies","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":false,"ca_institutions":"Environment and Climate Change Canada; University of Victoria; University of New Brunswick; University of Alberta","funders":"Syncrude","keywords":"Surface runoff; Antecedent moisture; Environmental science; Hydrology (agriculture); Boreal; Drainage basin; Precipitation; Impervious surface; Water balance; Runoff curve number; Geology; Geography; Ecology","score_opus":0.02577984139654389,"score_gpt":0.2997702833754132,"score_spread":0.27399044197886935,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388094682","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9874025,0.0000608555,3.275148e-7,0.0013427429,0.00005606429,0.00033968553,0.000023590243,0.0000386175,0.010735625],"genre_scores_gemma":[0.99632967,0.00031139096,0.0000056013123,0.000075744865,0.000033336048,0.000044668544,0.00004614377,0.000015629224,0.0031378465],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99753445,0.00031898043,0.0003011456,0.00044122152,0.00048570478,0.0009185235],"domain_scores_gemma":[0.99945796,0.0001764367,0.00003211489,0.00024163906,0.000014189613,0.00007767231],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001908518,0.0001533713,0.0002666075,0.00031388228,0.00028049905,0.00003305391,0.00030732944,0.0001160395,0.00035231092],"category_scores_gemma":[0.000051554285,0.00011012545,0.00003594554,0.00038215978,0.001286449,0.00012977254,0.0017272485,0.0002957607,0.0006586012],"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":[0.0008596993,0.00010050696,0.98730373,0.000048070473,0.000028036193,0.00015375376,0.0048256465,0.00055560283,0.0026831673,0.00002355919,0.0032952526,0.00012298145],"study_design_scores_gemma":[0.0015149636,0.00035195306,0.9691921,0.000032824402,0.000009081394,0.0000057351754,0.0008576731,0.0008991821,0.0042429636,0.0007491249,0.021930346,0.00021408057],"about_ca_topic_score_codex":0.0039922367,"about_ca_topic_score_gemma":0.0010982525,"teacher_disagreement_score":0.018635094,"about_ca_system_score_codex":0.00005388146,"about_ca_system_score_gemma":0.0000036229985,"threshold_uncertainty_score":0.84652054},"labels":[],"label_agreement":null},{"id":"W4388271338","doi":"10.1029/2022wr033358","title":"Hydrobiogeochemical Controls on the Delivery of Dissolved Organic Matter to Boreal Headwater Streams","year":2023,"lang":"en","type":"article","venue":"Water Resources Research","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":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Memorial University of Newfoundland","funders":"Natural Resources Canada; U.S. Forest Service; Canadian Forest Service; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Boreal; Dissolved organic carbon; Environmental science; Hydrology (agriculture); Watershed; Wetland; STREAMS; Biogeochemistry; Drainage basin; Taiga; Ecology; Geology; Oceanography; Geography","score_opus":0.02729495450266963,"score_gpt":0.27680877298677853,"score_spread":0.2495138184841089,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388271338","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9686499,0.0000033780884,0.0000019293957,0.01820331,0.000024922125,0.0004326491,0.000010098967,0.000038408463,0.012635353],"genre_scores_gemma":[0.99244577,0.000007927211,0.0000056076406,0.00074119266,0.00003805254,0.000094587325,0.000021572292,0.000018185709,0.0066271015],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99776906,0.00027316104,0.00020331633,0.0003819413,0.00058970664,0.0007827898],"domain_scores_gemma":[0.99921155,0.00022391761,0.000016347536,0.00043753014,0.000015437332,0.000095206255],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0011598155,0.00013982708,0.00018228394,0.00013229325,0.0003201875,0.00003576341,0.00058510766,0.00006808127,0.0036786897],"category_scores_gemma":[0.0000330902,0.00006977873,0.00006131146,0.00036929565,0.0005467857,0.000046572568,0.0013932447,0.00025949223,0.017214429],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006720659,0.00020719388,0.2663732,0.000034642875,0.00017353946,0.00006772313,0.012642662,0.0006528917,0.5177684,0.000031327403,0.20062177,0.0007546065],"study_design_scores_gemma":[0.001059594,0.00075288786,0.16012554,0.00006463469,0.000031423813,0.0000031688824,0.001361131,0.0008047691,0.6572768,0.0022275597,0.17582932,0.00046318],"about_ca_topic_score_codex":0.0006427144,"about_ca_topic_score_gemma":0.000116804,"teacher_disagreement_score":0.13950838,"about_ca_system_score_codex":0.00005721982,"about_ca_system_score_gemma":0.0000014530817,"threshold_uncertainty_score":0.9972321},"labels":[],"label_agreement":null},{"id":"W4388454088","doi":"10.1029/2022wr034152","title":"The Migration of the Erosion Center Downstream of the Three Gorges Dam, China, and the Role Played by Underlying Gravel Layer","year":2023,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Sediment Transport Processes","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"National Natural Science Foundation of China","keywords":"Erosion; Hydrology (agriculture); Sediment; Three gorges; Channel (broadcasting); Geology; Bank erosion; Sediment transport; Geomorphology; Geotechnical engineering","score_opus":0.02643973011878991,"score_gpt":0.27432170994435734,"score_spread":0.24788197982556742,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388454088","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99143225,0.00016395265,0.000005498654,0.006748161,0.000037554266,0.00036273955,0.000011350038,0.000009241223,0.001229241],"genre_scores_gemma":[0.9986142,0.00015834262,0.0000016131253,0.00003205423,0.000011070555,0.000031570875,0.0000062089916,0.000008145801,0.0011367726],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99827135,0.00033774646,0.00019175027,0.00019364615,0.0006754659,0.0003300575],"domain_scores_gemma":[0.999283,0.00025510875,0.000047691134,0.00037200376,0.000013699189,0.000028492457],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014982446,0.000089743065,0.000099533696,0.000022357986,0.0009691029,0.00004123827,0.00071001146,0.00006372514,0.00009526893],"category_scores_gemma":[0.000034780638,0.000028768438,0.000058214628,0.00029787363,0.0016443264,0.00006831284,0.0004292981,0.0002944491,0.000022732478],"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":[0.0008746611,0.00009725841,0.73001534,0.000038967133,0.00006451115,7.7720193e-7,0.022720395,0.00096143916,0.23947446,0.00017643107,0.0019112973,0.0036644835],"study_design_scores_gemma":[0.0018899966,0.00015097579,0.64447474,0.00006106492,0.000028818024,0.000002721261,0.0018220699,0.004303419,0.29816318,0.006184524,0.042777628,0.00014085721],"about_ca_topic_score_codex":0.0019323167,"about_ca_topic_score_gemma":0.003594219,"teacher_disagreement_score":0.08554056,"about_ca_system_score_codex":0.000014447803,"about_ca_system_score_gemma":0.0000050502313,"threshold_uncertainty_score":0.74536544},"labels":[],"label_agreement":null},{"id":"W4388521730","doi":"10.1029/2023wr035054","title":"Mega‐Tidal and Surface Flooding Controls on Coastal Groundwater and Saltwater Intrusion Within Agricultural Dikelands","year":2023,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Groundwater and Isotope Geochemistry","field":"Earth and Planetary Sciences","cited_by":30,"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; Dalhousie University","funders":"Agriculture and Agri-Food Canada; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Saltwater intrusion; Aquifer; Dike; Geology; Groundwater; Hydrology (agriculture); Storm surge; Soil salinity; Oceanography; Environmental science; Storm; Salinity","score_opus":0.029504011430782108,"score_gpt":0.25890822760699717,"score_spread":0.22940421617621506,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388521730","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9959937,0.000087680266,0.0000010654759,0.00084233854,0.00010734133,0.0002609694,0.00003021332,0.00009228652,0.0025844176],"genre_scores_gemma":[0.9932259,0.0000476333,0.000021944472,0.000054117194,0.00020249479,0.000004209248,0.00033051815,0.0000100838315,0.0061031207],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9972758,0.00027063277,0.00025703828,0.0005458802,0.0007288154,0.0009217854],"domain_scores_gemma":[0.99923944,0.00018709895,0.000023660068,0.00019980255,0.00007208615,0.00027790465],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014165962,0.00022924383,0.00025195055,0.00015987396,0.0006629423,0.0006820889,0.00023978874,0.0001331976,0.00044552493],"category_scores_gemma":[0.000031410913,0.000119789234,0.00003913568,0.00023323085,0.00030955925,0.00025145942,0.0002058324,0.00049572036,0.00036327972],"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":[0.0010303459,0.000055892615,0.8297286,0.00025581202,0.00010506558,0.00030164275,0.025878651,0.0013534488,0.13471428,0.000020179457,0.0019724916,0.004583565],"study_design_scores_gemma":[0.003008441,0.0015478344,0.8221322,0.0001994018,0.0000274597,0.00028051948,0.007863298,0.009360075,0.12580489,0.0009687843,0.027833765,0.0009733652],"about_ca_topic_score_codex":0.0026444946,"about_ca_topic_score_gemma":0.0012492683,"teacher_disagreement_score":0.025861273,"about_ca_system_score_codex":0.0000071722743,"about_ca_system_score_gemma":0.000007365242,"threshold_uncertainty_score":0.6577399},"labels":[],"label_agreement":null},{"id":"W4388871423","doi":"10.1029/2023wr035983","title":"The Effect of Sediment Supply on Pool‐Riffle Morphology","year":2023,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Sediment Transport Processes","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":false,"ca_institutions":"Simon Fraser University; University of British Columbia","funders":"China Scholarship Council; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Riffle; Beach morphodynamics; Sediment; Hydrology (agriculture); Sediment transport; Environmental science; Channel (broadcasting); Geology; Soil science; Geomorphology; Geotechnical engineering; STREAMS; Engineering","score_opus":0.020064393670132602,"score_gpt":0.2997269335277647,"score_spread":0.2796625398576321,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388871423","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98939055,0.000038487786,0.0000010383832,0.0024373457,0.000059679598,0.0003033678,0.000004108397,0.000044823795,0.0077205715],"genre_scores_gemma":[0.9930931,0.00004951945,0.0000021375952,0.000053906915,0.000032667664,0.00009055234,0.00001599289,0.000013526009,0.006648601],"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9975807,0.0004708194,0.0001816639,0.0003056447,0.0007526528,0.0007085407],"domain_scores_gemma":[0.9989588,0.00059228076,0.00001787778,0.00033892953,0.000009225362,0.0000828356],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0029382368,0.000108556844,0.00014517547,0.00009793065,0.000483224,0.00002091595,0.000564986,0.00009153817,0.0021129693],"category_scores_gemma":[0.000047116584,0.00005231423,0.00005273916,0.00037447226,0.00086373056,0.0000434282,0.00025402845,0.0003484983,0.00512641],"study_design_candidate":"bench_or_experimental","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":[0.0034499965,0.00022415437,0.59157544,0.00017685145,0.0001721504,0.0004635085,0.013064933,0.017293993,0.2980646,0.000104267434,0.051295847,0.024114225],"study_design_scores_gemma":[0.00063614454,0.002134486,0.03318074,0.000014183347,0.000008758414,0.000005232579,0.00010100978,0.00041023706,0.6500912,0.00038907648,0.31291148,0.000117491414],"about_ca_topic_score_codex":0.00023478271,"about_ca_topic_score_gemma":0.00003416692,"teacher_disagreement_score":0.55839473,"about_ca_system_score_codex":0.00003503835,"about_ca_system_score_gemma":0.0000031302948,"threshold_uncertainty_score":0.9987992},"labels":[],"label_agreement":null},{"id":"W4389071024","doi":"10.1029/2022wr034136","title":"Sensitivity of Subsurface Permeability in Coastal Deltas to Their Morphodynamic and Geomorphic Characteristics","year":2023,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Coastal and Marine Dynamics","field":"Earth and Planetary Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada; Simon Fraser University","keywords":"Geology; Beach morphodynamics; Channelized; Fluvial; Geomorphology; Permeability (electromagnetism); Delta; Bathymetry; Hydrology (agriculture); Hydraulic conductivity; Sediment transport; Sediment; Soil science; Structural basin; Oceanography; Geotechnical engineering","score_opus":0.0331563150990694,"score_gpt":0.26695731701131725,"score_spread":0.23380100191224784,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389071024","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99814314,0.000010819126,0.000011517187,0.0004795261,0.00003972679,0.00027510643,0.0006083445,0.000030181429,0.00040162532],"genre_scores_gemma":[0.9990285,0.000037587768,0.000027853432,0.000015364256,0.000023830591,0.0000021061132,0.00029965688,0.000005789362,0.0005593267],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9979036,0.0004833014,0.00023404139,0.00034277633,0.00042510033,0.0006112038],"domain_scores_gemma":[0.99902534,0.00043637404,0.000019438012,0.00024243227,0.00010433067,0.0001720519],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0032179425,0.00012311239,0.00023773583,0.00032652757,0.00012519193,0.000060314444,0.00016418695,0.00006201471,0.00017389965],"category_scores_gemma":[0.00016192094,0.00008453154,0.00003217148,0.0005874628,0.0002817916,0.000076083306,0.00031790356,0.00030815872,0.00013295967],"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":[0.00024091496,0.000025414325,0.95479155,0.000110902576,0.00000729937,0.00010375079,0.0036981595,0.0014351489,0.0076810517,0.0000044143185,0.000020906346,0.031880517],"study_design_scores_gemma":[0.00012893497,0.00014131806,0.8970013,0.000020812691,0.0000012158395,0.000013173319,0.0006287017,0.1000372,0.00038912427,0.00025035584,0.0012817959,0.00010605953],"about_ca_topic_score_codex":0.030529432,"about_ca_topic_score_gemma":0.090001374,"teacher_disagreement_score":0.09860206,"about_ca_system_score_codex":0.00000747058,"about_ca_system_score_gemma":0.000021579113,"threshold_uncertainty_score":0.97592634},"labels":[],"label_agreement":null},{"id":"W4389474767","doi":"10.1029/2023wr035428","title":"Modeling the Streamflow Response to Heatwaves Across Glacierized Basins in Southwestern Canada","year":2023,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Cryospheric studies and observations","field":"Earth and Planetary 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":true,"ca_institutions":"Simon Fraser University; University of British Columbia","funders":"","keywords":"Streamflow; Glacier; Environmental science; Precipitation; Climatology; Climate change; Snow; Snowmelt; Flood forecasting; Drainage basin; Physical geography; Geology; Geography; Meteorology; Oceanography","score_opus":0.07696379544967748,"score_gpt":0.3138794905643447,"score_spread":0.23691569511466726,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389474767","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9899671,0.00010149509,0.0000078311305,0.0090913605,0.00010599986,0.0003049231,0.00023344667,0.00003463651,0.00015320837],"genre_scores_gemma":[0.9962148,0.000030107882,0.00003179759,0.00026740023,0.00008924449,0.0000146999255,0.000041346262,0.000007208446,0.0033033604],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99716395,0.00044479844,0.00023191614,0.00032110146,0.00080278405,0.0010354606],"domain_scores_gemma":[0.9988271,0.0005841811,0.000008456953,0.00034077553,0.00008191241,0.00015758668],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026238193,0.00011756086,0.00015140182,0.000082757,0.0009035464,0.00021092348,0.0004928761,0.000038870006,0.000330431],"category_scores_gemma":[0.00022535758,0.000065303786,0.00003461996,0.0011462667,0.00009466704,0.00006426816,0.00016813017,0.00028741107,0.00029447366],"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":[0.0012801768,0.000013869012,0.48355097,0.00002073987,0.00003440275,0.0001665239,0.053725164,0.44815397,0.0005067891,0.0000011351718,0.0018829395,0.010663297],"study_design_scores_gemma":[0.0003213315,0.0000818504,0.6661018,0.000024502444,0.0000016842126,0.0000021482826,0.023166643,0.15556282,0.000066003806,0.000054655655,0.15446198,0.00015454211],"about_ca_topic_score_codex":0.8139444,"about_ca_topic_score_gemma":0.9856116,"teacher_disagreement_score":0.29259115,"about_ca_system_score_codex":0.000033103817,"about_ca_system_score_gemma":0.000101595535,"threshold_uncertainty_score":0.694944},"labels":[],"label_agreement":null},{"id":"W4389639669","doi":"10.1029/2023wr035406","title":"Influence of Sediment Supply Timing on Bedload Transport and Bed Surface Texture During a Single Experimental Hydrograph in Gravel Bed Rivers","year":2023,"lang":"en","type":"article","venue":"Water Resources Research","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":false,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; University of British Columbia; China Scholarship Council","keywords":"Bed load; Sediment; Flume; Sediment transport; Hydrograph; Geology; Hydrology (agriculture); Bedform; Grain size; STREAMS; Environmental science; Soil science; Geotechnical engineering; Geomorphology; Flow (mathematics); Surface runoff; Ecology","score_opus":0.025282964668936946,"score_gpt":0.278013171547943,"score_spread":0.2527302068790061,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389639669","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99873364,0.00008165802,2.4252523e-7,0.00027015273,0.000011328447,0.00037113333,0.000011472978,0.00004902817,0.00047134067],"genre_scores_gemma":[0.9995489,0.000048094218,0.000027966187,0.000028464061,0.0000088513425,0.000032137752,0.000025439404,0.000020442334,0.00025966793],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9974452,0.00012473919,0.00030254127,0.00054996845,0.00082319794,0.0007543226],"domain_scores_gemma":[0.9995154,0.00007048438,0.00003047302,0.0002249072,0.00001221133,0.00014652504],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007621558,0.0001877126,0.00023366715,0.00028508727,0.00024916482,0.00001810672,0.000334448,0.00013360307,0.00035573862],"category_scores_gemma":[0.000008099041,0.00014956086,0.000049042184,0.0006716073,0.0007650634,0.00018390082,0.00014994583,0.0003764605,0.00010060888],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003136913,0.000204298,0.37542996,0.000057283476,0.000016492682,0.00013995118,0.023142457,0.03600621,0.5645866,0.000001424392,0.000011740929,0.00008992393],"study_design_scores_gemma":[0.0010277767,0.00040919794,0.23742917,0.000096003336,0.0000062250083,0.000004722245,0.0009515177,0.00034755864,0.75884366,0.00005974605,0.0006263488,0.00019805775],"about_ca_topic_score_codex":0.001018254,"about_ca_topic_score_gemma":0.00016825751,"teacher_disagreement_score":0.1942571,"about_ca_system_score_codex":0.00008053579,"about_ca_system_score_gemma":0.0000057619254,"threshold_uncertainty_score":0.6098915},"labels":[],"label_agreement":null},{"id":"W4389944005","doi":"10.1029/2023wr035064","title":"Rapid Permeability Upscaling of Digital Porous Media via Physics‐Informed Neural Networks","year":2023,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Advanced Mathematical Modeling in Engineering","field":"Computer Science","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Porous medium; Permeability (electromagnetism); Artificial neural network; Artificial intelligence; Convolutional neural network; Relative permeability; Computer science; Petroleum engineering; Engineering; Porosity; Geotechnical engineering; Chemistry","score_opus":0.06642005687765526,"score_gpt":0.31871687115843167,"score_spread":0.25229681428077644,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389944005","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4538326,0.000044802422,0.5447673,0.00018510733,0.00011770661,0.00020274299,0.0000025665804,0.00035405852,0.0004931298],"genre_scores_gemma":[0.9951291,0.000009647752,0.0045458185,0.000007717568,0.00016608383,0.000027378184,0.00001113791,0.000026644087,0.000076437056],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99716806,0.00007426482,0.00040742668,0.0004063972,0.0010072255,0.00093664817],"domain_scores_gemma":[0.9978629,0.0009255534,0.000034775006,0.0007900814,0.00021120603,0.00017549556],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010651399,0.00016104509,0.0002660496,0.0002026103,0.00014729472,0.00020125363,0.0012270522,0.00008120533,0.000010841782],"category_scores_gemma":[0.00043285807,0.000115902854,0.000092625705,0.0008348928,0.00022571042,0.0005748143,0.0012449501,0.00048549712,0.00007531345],"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":[0.000029792938,0.000082720406,0.00035040622,0.00027736666,0.000028570395,0.000038349634,0.014172894,0.84965426,0.0017087203,0.0010290344,0.00006546691,0.13256243],"study_design_scores_gemma":[0.00014620011,0.000052739273,0.00009956559,0.00003046153,0.0000013181026,0.000005304162,0.00008635405,0.9825223,0.0025213184,0.014133602,0.00026576384,0.00013506238],"about_ca_topic_score_codex":0.0000066467446,"about_ca_topic_score_gemma":7.48452e-7,"teacher_disagreement_score":0.54129654,"about_ca_system_score_codex":0.00006249628,"about_ca_system_score_gemma":0.000013849286,"threshold_uncertainty_score":0.47263813},"labels":[],"label_agreement":null},{"id":"W4390065048","doi":"10.1029/2022wr034342","title":"A New Highly Parameterized Linear Inversion of Water Table Change and Groundwater Depletion Rate Tested With the High Plains Aquifer, U.S.A.","year":2023,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Groundwater flow and contamination 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":"China Three Gorges University; University of Wyoming; Canadian Centre for Applied Research in Cancer Control; National Science Foundation","keywords":"Water table; Aquifer; Groundwater; Hydraulic conductivity; Soil science; Water level; Parameterized complexity; Geology; Inversion (geology); Environmental science; Hydrology (agriculture); Mathematics; Algorithm; Geotechnical engineering; Geomorphology; Soil water","score_opus":0.05762110308514635,"score_gpt":0.2714400522352111,"score_spread":0.21381894915006477,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390065048","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99306744,0.00002135511,0.00018614517,0.0059268186,0.000037488127,0.0005516403,0.000004656759,0.00006338238,0.00014106874],"genre_scores_gemma":[0.9774085,0.000049507,0.000106686806,0.00013833797,0.00007366372,0.00013515574,0.000054324428,0.000026882746,0.02200689],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.9974666,0.00040924695,0.00020814966,0.00041875994,0.00078515784,0.00071206864],"domain_scores_gemma":[0.9993369,0.00013532344,0.000030760275,0.00032481973,0.000052848172,0.00011933232],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014005239,0.00017905637,0.00022151045,0.00018340156,0.0005461624,0.00013068426,0.00032689475,0.00007542077,0.0003688313],"category_scores_gemma":[0.000015488353,0.000077950535,0.000031887215,0.0005002671,0.00047734508,0.00029458984,0.0009323169,0.00022402282,0.0007130901],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0017925254,0.00019514469,0.10237532,0.0001974394,0.00022066456,0.00013135899,0.10148323,0.00025767714,0.75736046,0.00003907248,0.0126915155,0.023255598],"study_design_scores_gemma":[0.0035541283,0.001567012,0.1444309,0.00009580859,0.0000570758,0.00001631355,0.0027620192,0.0034446593,0.3252298,0.00032588406,0.51794827,0.00056811713],"about_ca_topic_score_codex":0.0073538115,"about_ca_topic_score_gemma":0.0005966482,"teacher_disagreement_score":0.5052568,"about_ca_system_score_codex":0.00006437342,"about_ca_system_score_gemma":0.000004240819,"threshold_uncertainty_score":0.9992563},"labels":[],"label_agreement":null},{"id":"W4390659343","doi":"10.1029/2022wr034193","title":"Tradeoffs Between Temporal and Spatial Pattern Calibration and Their Impacts on Robustness and Transferability of Hydrologic Model Parameters to Ungauged Basins","year":2024,"lang":"en","type":"article","venue":"Water Resources Research","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":"University of Waterloo","funders":"Istanbul Teknik Üniversitesi; Ulusal Yüksek Başarımlı Hesaplama Merkezi, Istanbul Teknik Üniversitesi; Villum Fonden; Bilimsel Araştırma Projeleri Birimi, İstanbul Teknik Üniversitesi; National Aeronautics and Space Administration","keywords":"Robustness (evolution); Evapotranspiration; Equifinality; Calibration; Structural basin; Transferability; Spatial ecology; Environmental science; Hydrological modelling; Computer science; Spatial variability; Remote sensing; Statistics; Geology; Machine learning; Mathematics; Artificial intelligence; Climatology","score_opus":0.055514328279636836,"score_gpt":0.2928311537307627,"score_spread":0.23731682545112584,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390659343","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99025923,0.000042226206,0.0030137394,0.006100014,0.000010964228,0.00041431497,0.00003469812,0.000024762076,0.00010003391],"genre_scores_gemma":[0.99972034,0.000032189015,0.000042831813,0.000078567864,0.000016955502,0.000024453584,0.000009174108,0.000011043153,0.00006444759],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99844736,0.00030446294,0.0001759836,0.0004580884,0.0002435739,0.00037055014],"domain_scores_gemma":[0.9995599,0.00015294421,0.000008467321,0.00014724988,0.0000044874914,0.00012695059],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010857495,0.00014395718,0.00020765194,0.00012922306,0.00020468727,0.00007502747,0.000113938746,0.00008340012,0.00002762249],"category_scores_gemma":[0.000016189815,0.0000846204,0.000023489423,0.00010428096,0.0006219709,0.00012750985,0.0002738676,0.00023856998,0.0000036540227],"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":[0.00048334082,0.00012231103,0.85668916,0.00044286973,0.0001574859,0.000027875405,0.056565847,0.034283698,0.016108707,0.000010195344,0.00020443847,0.034904063],"study_design_scores_gemma":[0.00092375046,0.0024040854,0.24228454,0.000119509656,0.000052611478,0.000005693699,0.0007067741,0.70141804,0.046913166,0.0034751818,0.0011997381,0.0004969051],"about_ca_topic_score_codex":0.0016861593,"about_ca_topic_score_gemma":0.00058149936,"teacher_disagreement_score":0.66713434,"about_ca_system_score_codex":0.000029427549,"about_ca_system_score_gemma":0.0000022577403,"threshold_uncertainty_score":0.34507197},"labels":[],"label_agreement":null},{"id":"W4390659551","doi":"10.1029/2023wr036394","title":"Saltwater Intrusion Into a Confined Island Aquifer Driven by Erosion, Changing Recharge, Sea‐Level Rise, and Coastal Flooding","year":2024,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Groundwater and Isotope Geochemistry","field":"Earth and Planetary Sciences","cited_by":31,"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; Marine Environmental Observation Prediction and Response Network","keywords":"Groundwater recharge; Aquifer; Saltwater intrusion; Geology; Storm surge; Groundwater; Hydrology (agriculture); Coastal erosion; Environmental science; Erosion; Oceanography; Storm; Geomorphology; Geotechnical engineering","score_opus":0.031314623443340094,"score_gpt":0.27121774000536586,"score_spread":0.23990311656202576,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390659551","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9943964,0.0013645879,0.00014174328,0.00092203444,0.00016519129,0.00026006286,0.00026233014,0.00008062564,0.0024070127],"genre_scores_gemma":[0.9850395,0.00015055445,0.0001203449,0.00004965748,0.00029408056,0.0000094951065,0.0005486409,0.000017260132,0.01377049],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9971692,0.00023595677,0.00026366668,0.0006337947,0.00070245576,0.0009949112],"domain_scores_gemma":[0.99925154,0.00012806563,0.000014853674,0.00023909696,0.00008816783,0.0002782601],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0013917622,0.00022688456,0.00022196968,0.00037126555,0.00064676313,0.0008658062,0.00031994993,0.00015781984,0.003656186],"category_scores_gemma":[0.00003208149,0.00014269416,0.000053031712,0.0003415644,0.00026024252,0.00027405613,0.00025517374,0.0005865224,0.00076267327],"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":[0.0006246101,0.000074166834,0.41885826,0.0014746991,0.00018198,0.00047163473,0.067361414,0.000098260214,0.41535386,0.000014803141,0.04757997,0.04790635],"study_design_scores_gemma":[0.0013015836,0.0005753659,0.014149435,0.00072136795,0.000037724134,0.00018567944,0.0032339133,0.053255413,0.2645905,0.0013189925,0.65956813,0.0010619024],"about_ca_topic_score_codex":0.0049074935,"about_ca_topic_score_gemma":0.001717517,"teacher_disagreement_score":0.6119881,"about_ca_system_score_codex":0.00001285861,"about_ca_system_score_gemma":0.000023121262,"threshold_uncertainty_score":0.9972546},"labels":[],"label_agreement":null},{"id":"W4390967594","doi":"10.1029/2022wr034294","title":"Comment on “The Treatment of Uncertainty in Hydrometric Observations: A Probabilistic Description of Streamflow Records” by de Oliveira and Vrugt","year":2024,"lang":"en","type":"article","venue":"Water Resources Research","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":false,"ca_institutions":"University of Saskatchewan; University of Calgary","funders":"Global Water Futures; University of Saskatchewan","keywords":"Streamflow; Variance (accounting); Probabilistic logic; Estimation; Environmental science; Series (stratigraphy); Statistics; Econometrics; Climatology; Hydrology (agriculture); Mathematics; Geography; Geology; Drainage basin; Cartography; Economics; Accounting","score_opus":0.08173692013908862,"score_gpt":0.2981660311953769,"score_spread":0.21642911105628826,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390967594","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9919438,0.00027662536,0.0000066681496,0.00632847,0.00001549235,0.00046995253,0.000010148536,0.000008831239,0.00094005524],"genre_scores_gemma":[0.9978787,0.00053772575,0.00003330545,0.00007261224,0.0000065246318,0.00014600063,0.0000088455545,0.000006185829,0.001310103],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99869305,0.0003382879,0.00018683643,0.00022709736,0.0002716774,0.0002830525],"domain_scores_gemma":[0.999442,0.0003359174,0.000016210653,0.0001663196,0.000008289769,0.000031277068],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001050599,0.000085621636,0.00012929479,0.00020510348,0.00011120862,0.000024444118,0.00013675352,0.00003785859,0.0001824803],"category_scores_gemma":[0.000051550895,0.000045926525,0.00002663688,0.00046020033,0.00042815236,0.000051030045,0.00012798807,0.000105515675,0.00002867672],"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":[0.00087773154,0.0037956804,0.7641809,0.00081225013,0.00045013495,0.00006978088,0.11068515,0.02227721,0.025553763,0.0007900958,0.04004841,0.030458925],"study_design_scores_gemma":[0.002146386,0.009415832,0.19527435,0.00058597774,0.00010590863,0.0000048464312,0.0049306555,0.09205259,0.018651938,0.028625103,0.64765644,0.00054999755],"about_ca_topic_score_codex":0.0040791794,"about_ca_topic_score_gemma":0.00028622808,"teacher_disagreement_score":0.607608,"about_ca_system_score_codex":0.00028318254,"about_ca_system_score_gemma":0.0000027960753,"threshold_uncertainty_score":0.6166526},"labels":[],"label_agreement":null},{"id":"W4391037081","doi":"10.1029/2023wr035446","title":"Groundwater Basin Openness and Sustainability","year":2024,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Groundwater flow and contamination studies","field":"Environmental Science","cited_by":11,"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":"Nanjing University; Nanjing University of Information Science and Technology; Startup Foundation for Introducing Talent of Nanjing University of Information Science and Technology; Natural Science Research of Jiangsu Higher Education Institutions of China; Canada Excellence Research Chairs, Government of Canada","keywords":"Groundwater; Groundwater recharge; Aquifer; Groundwater flow; Hydrology (agriculture); Groundwater model; Groundwater discharge; Environmental science; Structural basin; Surface water; Depression-focused recharge; Geology; Environmental engineering; Geomorphology","score_opus":0.028495008316898027,"score_gpt":0.3138423614046196,"score_spread":0.2853473530877215,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391037081","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9874751,0.00023603915,0.00048009303,0.005999602,0.00006531758,0.00028760434,0.0000016588089,0.0000706305,0.0053839376],"genre_scores_gemma":[0.931222,0.000019141895,0.000020992684,0.00005895274,0.000055517,0.00008613889,0.0000039219344,0.000016115098,0.06851718],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99767476,0.00038777926,0.00015630329,0.0005173815,0.0006672272,0.0005965745],"domain_scores_gemma":[0.9994415,0.00016105745,0.000004451467,0.00023922468,0.000046998506,0.00010673627],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0024552578,0.00012164734,0.00012451528,0.00011755841,0.0005214757,0.0006096673,0.00025769384,0.000063438114,0.0016812219],"category_scores_gemma":[0.000050769773,0.0000721243,0.000035635516,0.0002476057,0.00065943785,0.0003591026,0.0011860881,0.00037770122,0.0012006732],"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":[0.00022453215,0.00038179863,0.25167173,0.0011147306,0.00016446887,0.0006082196,0.23542064,0.000098501456,0.01287807,0.0012412118,0.020733597,0.4754625],"study_design_scores_gemma":[0.000117660304,0.00008847134,0.045361526,0.000017445562,0.0000048713237,0.000016483578,0.0022653816,0.0003174498,0.0034538775,0.001863844,0.94634813,0.00014488268],"about_ca_topic_score_codex":0.0026989945,"about_ca_topic_score_gemma":0.00022749818,"teacher_disagreement_score":0.92561454,"about_ca_system_score_codex":0.0002525134,"about_ca_system_score_gemma":0.0000075946277,"threshold_uncertainty_score":0.999577},"labels":[],"label_agreement":null},{"id":"W4391102668","doi":"10.1029/2022wr033808","title":"An Improved Copula‐Based Framework for Efficient Global Sensitivity Analysis","year":2024,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Probabilistic and Robust Engineering Design","field":"Decision Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary; University of Saskatchewan; University of Alberta","funders":"","keywords":"Identifiability; Sobol sequence; Sensitivity (control systems); Copula (linguistics); Dimension (graph theory); Mathematics; Mathematical optimization; Function (biology); Computer science; Variance-based sensitivity analysis; Variance (accounting); Econometrics; Applied mathematics; Statistics","score_opus":0.1427297753571669,"score_gpt":0.45360848965950656,"score_spread":0.31087871430233965,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391102668","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.28612608,0.00016015758,0.71198875,0.0007091023,0.00019265652,0.00040164695,0.00010880821,0.00015288178,0.00015988208],"genre_scores_gemma":[0.9838338,7.6797886e-7,0.015263196,0.000040224928,0.00023764209,0.000069326736,0.000026207555,0.000021637856,0.0005071983],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.994532,0.0009169132,0.00047511392,0.0010721154,0.002092337,0.0009115176],"domain_scores_gemma":[0.99421835,0.0036782725,0.000025775214,0.0011469614,0.0005957556,0.00033486894],"candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.015536539,0.00019558046,0.00039334776,0.00084542314,0.00039800906,0.0015176479,0.0007994338,0.00020420401,0.00020099146],"category_scores_gemma":[0.0029094238,0.000111346184,0.0003369566,0.0032899128,0.00028039227,0.000096430806,0.0001840961,0.0004223986,0.00025368886],"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":[0.00040909846,0.00028729203,0.001724371,0.00012403323,0.0003953263,0.00015617949,0.0026098178,0.9606859,0.0066254977,0.0072830245,0.0016556848,0.01804378],"study_design_scores_gemma":[0.00011940684,0.00017193219,0.00083882245,0.00002865711,0.00006335342,0.0000025713025,0.00018927208,0.9655389,0.0015519761,0.016594203,0.014726985,0.00017391113],"about_ca_topic_score_codex":0.00016762115,"about_ca_topic_score_gemma":0.00004370333,"teacher_disagreement_score":0.6977077,"about_ca_system_score_codex":0.00019718838,"about_ca_system_score_gemma":0.00008394977,"threshold_uncertainty_score":0.9995189},"labels":[],"label_agreement":null},{"id":"W4391607876","doi":"10.1029/2023wr035291","title":"Advanced Analytical Model for Interpreting Oscillatory Pumping Tests With Wellbore Skin and Rate‐Dependent Skin Effects","year":2024,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Water Systems and Optimization","field":"Engineering","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":"Dalhousie University","funders":"","keywords":"Wellbore; Skin effect; Geology; Skin conductance; Petroleum engineering; Geotechnical engineering; Mechanics; Engineering; Physics; Biomedical engineering","score_opus":0.0168585697826866,"score_gpt":0.28564301583818386,"score_spread":0.26878444605549723,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391607876","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9563138,0.00069350755,0.04037652,0.00012466198,0.00010606231,0.0007697909,0.000008192424,0.00024436915,0.0013631101],"genre_scores_gemma":[0.9966676,0.000023675957,0.00063184596,0.00000904755,0.000117437994,0.00015090258,0.00001203692,0.00008150695,0.0023059486],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983838,0.00009562939,0.00021319812,0.00039069616,0.00033733074,0.000579335],"domain_scores_gemma":[0.9993521,0.00022267838,0.000007707588,0.00020338416,0.00008316854,0.00013097894],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00093355816,0.0001795022,0.00020504121,0.0003258736,0.00014321558,0.00041031805,0.00015061996,0.000098216224,0.000005876476],"category_scores_gemma":[0.00003522315,0.00011703227,0.00004037519,0.00017902208,0.00007236449,0.0001889154,0.000116266754,0.00031729136,0.000016447475],"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":[0.00015993546,0.000016877442,0.0003761513,0.0033764874,0.00014792108,0.000074522926,0.016872073,0.9620242,0.008426801,0.00012793638,0.00078738114,0.007609698],"study_design_scores_gemma":[0.0003224552,0.000100184516,0.000066824956,0.0005802444,0.000010852151,0.000010467696,0.00013782307,0.9766541,0.017283125,0.00007360596,0.0045832926,0.00017699241],"about_ca_topic_score_codex":0.000023358225,"about_ca_topic_score_gemma":0.00007437932,"teacher_disagreement_score":0.040353816,"about_ca_system_score_codex":0.00011017177,"about_ca_system_score_gemma":0.000012241843,"threshold_uncertainty_score":0.47724375},"labels":[],"label_agreement":null},{"id":"W4391611639","doi":"10.1029/2023wr035540","title":"Predicting Imminent Cyanobacterial Blooms in Lakes Using Incomplete Timely Data","year":2024,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Aquatic Ecosystems and Phytoplankton Dynamics","field":"Environmental Science","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Brock University; Alberta Environment and Protected Areas; University of Alberta","funders":"","keywords":"Algal bloom; Environmental science; Hydrology (agriculture); Oceanography; Geology; Ecology; Phytoplankton; Biology; Nutrient; Geotechnical engineering","score_opus":0.09580042985378885,"score_gpt":0.3435264244589008,"score_spread":0.24772599460511197,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391611639","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9959978,0.00009749406,0.00005436513,0.00016680585,0.0001903182,0.00029136505,0.000072393574,0.00004544287,0.003084021],"genre_scores_gemma":[0.998241,0.000008488017,0.00019630195,0.000009598286,0.00030041178,0.000012049701,0.00009398681,0.000028914445,0.0011092675],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99738556,0.00029435515,0.00034091773,0.0005836492,0.00074357574,0.0006519443],"domain_scores_gemma":[0.9990995,0.00013612513,0.00001925473,0.00063058344,0.000007670039,0.00010686858],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0024983864,0.0001336854,0.0001710127,0.0001516039,0.00018446516,0.000321354,0.0008257489,0.000078981015,0.0013410338],"category_scores_gemma":[0.000043288273,0.00009293943,0.000028053033,0.00034638212,0.00017621342,0.00030059827,0.0018577774,0.00040518199,0.0009841035],"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":[0.0001968478,0.00020978434,0.65613705,0.00068783655,0.000097457756,0.00078306213,0.023273548,0.007823716,0.30182287,0.00009603024,0.0013383875,0.007533435],"study_design_scores_gemma":[0.00023440752,0.000070177906,0.0055341483,0.0002963331,0.000007333458,0.000045037268,0.00029914832,0.8366633,0.0013317197,0.00022223985,0.1550853,0.00021082546],"about_ca_topic_score_codex":0.005945687,"about_ca_topic_score_gemma":0.0035388176,"teacher_disagreement_score":0.8288396,"about_ca_system_score_codex":0.00020878417,"about_ca_system_score_gemma":0.000013763263,"threshold_uncertainty_score":0.99979377},"labels":[],"label_agreement":null},{"id":"W4391614107","doi":"10.1029/2023wr034940","title":"Exploring the Complex Effects of Wildfire on Stream Water Chemistry: Insights From Concentration‐Discharge Relationships","year":2024,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":26,"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":"California Department of Parks and Recreation; National Oceanic and Atmospheric Administration; National Science Foundation","keywords":"Dissolved organic carbon; Dilution; Environmental chemistry; Water quality; Environmental science; STREAMS; Sediment; Hydrology (agriculture); Discharge; Chemistry; Ecology; Geology; Drainage basin; Geography","score_opus":0.08369642733398126,"score_gpt":0.2787121425944702,"score_spread":0.19501571526048894,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391614107","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9928368,0.00012082064,0.0000062037434,0.0007694594,0.00015057337,0.00059045426,0.0000106407515,0.00007385075,0.0054412186],"genre_scores_gemma":[0.9982473,0.000014449098,0.000013054897,0.000015499521,0.00018620114,0.00018411656,0.00007446233,0.00003426146,0.0012306295],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9969391,0.0007449271,0.000269375,0.000473825,0.0010550119,0.0005177261],"domain_scores_gemma":[0.998466,0.00084045954,0.000019234385,0.0005428821,0.000012428998,0.00011899801],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00079034147,0.0001716087,0.00017541784,0.000048274516,0.0004703717,0.00020223398,0.0005085578,0.00006930129,0.00071530836],"category_scores_gemma":[0.00009345676,0.00008277346,0.000068527996,0.00024933825,0.00035558533,0.0002922862,0.00033967342,0.000641221,0.002567122],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000059713915,0.000094440424,0.004969895,0.00024634643,0.000066493296,0.000050138035,0.033548974,0.0002646292,0.95667875,0.000047646547,0.001857231,0.002115735],"study_design_scores_gemma":[0.00024342195,0.00010658387,0.018309612,0.00028818625,0.000011417568,0.0000023132775,0.0003230249,0.009805962,0.8844007,0.000326669,0.08601504,0.00016703909],"about_ca_topic_score_codex":0.0016765018,"about_ca_topic_score_gemma":0.00007215658,"teacher_disagreement_score":0.08415781,"about_ca_system_score_codex":0.00019704379,"about_ca_system_score_gemma":0.0000053968743,"threshold_uncertainty_score":0.9982095},"labels":[],"label_agreement":null},{"id":"W4392098570","doi":"10.1029/2022wr034057","title":"Hydrodynamic Modeling of Stratification and Mixing in a Shallow, Tropical Floodplain Lake","year":2024,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Aquatic Ecosystems and Phytoplankton Dynamics","field":"Environmental Science","cited_by":11,"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":"","keywords":"Stratification (seeds); Thermocline; Thermal stratification; Floodplain; Environmental science; Buoyancy; Diel vertical migration; Water column; Hydrology (agriculture); Mixing (physics); Atmospheric sciences; Geology; Climatology; Oceanography; Geography","score_opus":0.02831227879366808,"score_gpt":0.29041205964743055,"score_spread":0.26209978085376245,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392098570","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99514073,0.00011429329,0.00048125873,0.00017192776,0.000020114468,0.00018369513,0.000006764158,0.000014577188,0.0038666578],"genre_scores_gemma":[0.99931294,0.000017617656,0.00017382453,0.0000028154982,0.00002221316,0.000018032524,0.000010746389,0.000011362049,0.00043044798],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986289,0.00015542822,0.00024963001,0.000283847,0.00039731245,0.00028485092],"domain_scores_gemma":[0.9996919,0.00007534619,0.0000094766265,0.0001609569,0.0000062445615,0.000056100045],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00088760006,0.00007241626,0.00011662993,0.00012066716,0.00006403152,0.0000753452,0.00015269047,0.00006417659,0.00025246906],"category_scores_gemma":[0.000018433639,0.00005131387,0.000021953001,0.00019860506,0.00010858116,0.000097950026,0.00015237193,0.00025804588,0.00007895798],"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":[0.00025101105,0.0003115791,0.4945193,0.0017279997,0.000075701835,0.00023396043,0.07387178,0.282257,0.11841327,0.003814938,0.000115382776,0.024408089],"study_design_scores_gemma":[0.000083814746,0.000050239585,0.003879505,0.000098772885,0.0000017928872,0.0000056890594,0.00027690394,0.9925448,0.00015642992,0.0016441807,0.001193335,0.00006459533],"about_ca_topic_score_codex":0.00081372086,"about_ca_topic_score_gemma":0.010762478,"teacher_disagreement_score":0.71028775,"about_ca_system_score_codex":0.000063348045,"about_ca_system_score_gemma":0.0000053983026,"threshold_uncertainty_score":0.6005715},"labels":[],"label_agreement":null},{"id":"W4392162152","doi":"10.1029/2023wr036513","title":"Methylmercury Export From a Headwater Peatland Catchment Decreased With Cleaner Emissions Despite Opposing Effect of Climate Warming","year":2024,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Mercury impact and mitigation studies","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":false,"ca_institutions":"Nipissing University","funders":"Canada Research Chairs","keywords":"Peat; Methylmercury; Environmental science; Climate change; Hydrology (agriculture); Global-warming potential; Drainage basin; Greenhouse gas; Physical geography; Oceanography; Environmental chemistry; Geology; Geography; Chemistry","score_opus":0.03365507198281243,"score_gpt":0.3403312077341656,"score_spread":0.30667613575135316,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392162152","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9937856,0.00057477696,0.00004461429,0.00037008576,0.000041911593,0.00039807314,0.000022137972,0.00005810694,0.004704653],"genre_scores_gemma":[0.99824816,0.00023472948,0.00024323634,0.000029012088,0.00006466002,0.000075465614,0.000046309302,0.000035492325,0.0010229631],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99705875,0.00046035997,0.00029419997,0.00047384488,0.0009798942,0.00073294365],"domain_scores_gemma":[0.9989669,0.00038074402,0.000026597629,0.00032779673,0.0000220491,0.00027593918],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0016995232,0.00021034294,0.00028967834,0.00016635068,0.00037563045,0.00015279077,0.00023212557,0.00006453837,0.001303606],"category_scores_gemma":[0.000037441783,0.00010653405,0.000082168204,0.00030208248,0.00039741377,0.00019281503,0.00045823387,0.00031606437,0.00034349904],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00086807396,0.0001003233,0.2348216,0.00038687218,0.00025560957,0.00044458508,0.05344831,0.00024454197,0.67408496,0.0000025768238,0.0022238244,0.0331187],"study_design_scores_gemma":[0.0007132458,0.0007243016,0.013085457,0.00084031094,0.00009271362,0.000029058032,0.0013062847,0.0005356395,0.90539104,0.000058958263,0.076888405,0.0003346056],"about_ca_topic_score_codex":0.0016072547,"about_ca_topic_score_gemma":0.00005513866,"teacher_disagreement_score":0.23130605,"about_ca_system_score_codex":0.00012432855,"about_ca_system_score_gemma":0.000010619753,"threshold_uncertainty_score":0.99960935},"labels":[],"label_agreement":null},{"id":"W4392197295","doi":"10.1029/2022wr034377","title":"Considering Uncertainty of Historical Ice Jam Flood Records in a Bayesian Frequency Analysis for the Peace‐Athabasca Delta","year":2024,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","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":"BC Hydro (Canada)","funders":"BC Hydro","keywords":"Flood myth; Bayesian probability; Range (aeronautics); Hindcast; Environmental science; Climate change; Climatology; Physical geography; Meteorology; Hydrology (agriculture); Statistics; Geography; Geology; Mathematics; Engineering","score_opus":0.04358472110082967,"score_gpt":0.2905429356988229,"score_spread":0.24695821459799322,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392197295","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98674285,0.0025128673,0.0041252524,0.0041085705,0.00021508009,0.00045565137,0.00011276934,0.00005086356,0.0016760943],"genre_scores_gemma":[0.99776614,0.00018684442,0.000813943,0.000036784055,0.00013639346,0.000013099859,0.0000652705,0.000009748005,0.00097179343],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99775827,0.00027755208,0.0003620623,0.0003840398,0.00058763614,0.00063043734],"domain_scores_gemma":[0.997873,0.0015803641,0.000025807134,0.0003114161,0.00010267097,0.000106713895],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002526483,0.00013026655,0.0002659999,0.0005237072,0.0002814005,0.000121723446,0.0004568068,0.00008651441,0.0006970928],"category_scores_gemma":[0.000200085,0.00007262434,0.00018719796,0.0010617961,0.00021559474,0.00011700656,0.00005779709,0.00048123393,0.000029864248],"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":[0.00032664763,0.00007118176,0.9003709,0.0005401891,0.00080043235,0.00016810973,0.028015254,0.023507243,0.00014016322,0.00021396423,0.0013596197,0.04448631],"study_design_scores_gemma":[0.00038923803,0.00039808638,0.050957594,0.00013146219,0.00022905656,0.000023756014,0.0047665467,0.82584894,0.00011121362,0.003400914,0.1134283,0.00031487647],"about_ca_topic_score_codex":0.07844518,"about_ca_topic_score_gemma":0.042132318,"teacher_disagreement_score":0.8494133,"about_ca_system_score_codex":0.000077449986,"about_ca_system_score_gemma":0.000077367484,"threshold_uncertainty_score":0.97534627},"labels":[],"label_agreement":null},{"id":"W4392240436","doi":"10.1029/2023wr035714","title":"Characterizing Offshore Freshened Groundwater Salinity Patterns Using Trans‐Dimensional Bayesian Inversion of Controlled Source Electromagnetic Data: A Case Study From the Canterbury Bight, New Zealand","year":2024,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Geophysical and Geoelectrical Methods","field":"Earth and Planetary 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":"University of Calgary; Dalhousie University","funders":"HORIZON EUROPE European Research Council; European Commission","keywords":"Geology; Hydrogeology; Shore; Groundwater; Submarine pipeline; Inversion (geology); Electrical resistivity and conductivity; Salinity; Hydrology (agriculture); Oceanography; Geomorphology; Geotechnical engineering","score_opus":0.07193750817650929,"score_gpt":0.31883662168104077,"score_spread":0.24689911350453148,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392240436","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9967661,0.0006110316,0.00019542278,0.0013487207,0.00014015383,0.0007415812,0.00012919771,0.000040481456,0.000027319893],"genre_scores_gemma":[0.99825186,0.000017625513,0.00017651962,0.00009759031,0.0005431671,0.000003926436,0.00023571301,0.000015453696,0.00065812276],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9946668,0.002177351,0.0005007461,0.0007577581,0.0010574418,0.00083991786],"domain_scores_gemma":[0.9972813,0.0016568796,0.000044309298,0.0006463983,0.00007814313,0.0002929697],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0021560998,0.0002597421,0.000514882,0.0002293071,0.00045357662,0.00039147653,0.00079091167,0.00010757618,0.001317434],"category_scores_gemma":[0.00007271658,0.00012666166,0.00013199536,0.00051732315,0.00017027756,0.0002842162,0.00019258395,0.00083475676,0.000041882224],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.010740577,0.0014335879,0.41657022,0.00037842136,0.0021212716,0.01308002,0.098173,0.0011007873,0.14379813,0.0000031111583,0.0022405304,0.31036034],"study_design_scores_gemma":[0.009867157,0.0077076093,0.1500686,0.00057001703,0.0007967073,0.00089029054,0.0059739817,0.7776387,0.012494359,0.002278471,0.030319536,0.0013945834],"about_ca_topic_score_codex":0.2507496,"about_ca_topic_score_gemma":0.016739687,"teacher_disagreement_score":0.7765379,"about_ca_system_score_codex":0.000013813362,"about_ca_system_score_gemma":0.000086340166,"threshold_uncertainty_score":0.9995955},"labels":[],"label_agreement":null},{"id":"W4392658427","doi":"10.1029/2023wr035166","title":"Collaborative Management of Water‐Energy‐Food‐Ecosystems Nexus in Central Asia Under Uncertainty","year":2024,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Water-Energy-Food Nexus 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":"University of Regina","funders":"","keywords":"Nexus (standard); Central asia; Water energy; Environmental science; Ecosystem; Environmental resource management; Food energy; Geography; Water resource management; Hydrology (agriculture); Ecology; Physical geography; Geology; Computer science; Biology","score_opus":0.02835946636683214,"score_gpt":0.2852790225765101,"score_spread":0.256919556209678,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392658427","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.82917506,0.0010186617,0.000070500886,0.0024110933,0.00028656423,0.00054311036,0.000075298405,0.000099892,0.1663198],"genre_scores_gemma":[0.9894639,0.000057017394,0.000036215642,0.000023775083,0.00007697209,0.00017996378,0.000035297362,0.000047374804,0.010079482],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.9951562,0.0006217399,0.0005042206,0.0007945484,0.0014090614,0.0015141963],"domain_scores_gemma":[0.99919724,0.00008173215,0.000024399307,0.00047184466,0.000042854,0.0001819523],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011214344,0.0002871011,0.00034990502,0.00034128266,0.00023711982,0.00016676114,0.0006725395,0.00011889366,0.0008367772],"category_scores_gemma":[0.0000052720115,0.0001715621,0.000085386775,0.0009462478,0.00055992935,0.00021648004,0.0015793144,0.00031388248,0.0003566094],"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":[0.0023268461,0.002432926,0.008909368,0.003989735,0.0037812835,0.0046487125,0.2106124,0.29080844,0.25441024,0.1451293,0.053636782,0.019313963],"study_design_scores_gemma":[0.0014101168,0.0011586773,0.0034557786,0.0007917692,0.00004793935,0.000020999312,0.025688075,0.012224654,0.26092777,0.06900637,0.62430733,0.00096049684],"about_ca_topic_score_codex":0.0055767535,"about_ca_topic_score_gemma":0.006084002,"teacher_disagreement_score":0.57067055,"about_ca_system_score_codex":0.0007608009,"about_ca_system_score_gemma":0.000011703383,"threshold_uncertainty_score":0.9162124},"labels":[],"label_agreement":null},{"id":"W4392696608","doi":"10.1029/2023wr035362","title":"Geologic Controls on Apparent Root‐Zone Storage Capacity","year":2024,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Plant Water Relations and Carbon Dynamics","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":false,"ca_institutions":"Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada; Simon Fraser University; Canada Foundation for Innovation","keywords":"Water storage; Biome; Streamflow; Precipitation; Evapotranspiration; Environmental science; Climate change; Geology; Hydrology (agriculture); Earth science; Ecosystem; Ecology; Geomorphology; Drainage basin; Oceanography","score_opus":0.037695326813472325,"score_gpt":0.27957956125123706,"score_spread":0.24188423443776474,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392696608","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96448344,0.00009377243,0.00022507619,0.0007998707,0.00010261298,0.0003001562,0.000029883473,0.000113715636,0.033851463],"genre_scores_gemma":[0.98273325,0.000013766709,0.000034543224,0.000045032335,0.00007862106,0.00006311189,0.000030327457,0.000019418008,0.016981928],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.9974125,0.00029974,0.0001900589,0.00048757574,0.00091572176,0.0006943728],"domain_scores_gemma":[0.9993458,0.0001258218,0.0000108777485,0.0003505182,0.00001139859,0.00015558906],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0012677598,0.00014946636,0.0001480978,0.00016536911,0.00026640925,0.00025130835,0.00039437605,0.000111673595,0.0020715229],"category_scores_gemma":[0.000019943374,0.00008975722,0.00007215241,0.00026651227,0.0003472961,0.00011378888,0.0003677307,0.00065197673,0.006681217],"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":[0.00090255786,0.00144587,0.12492569,0.00036821477,0.000432805,0.003327442,0.038768303,0.3998521,0.35272473,0.0051862914,0.028560989,0.043505013],"study_design_scores_gemma":[0.0003430005,0.00036657043,0.009527778,0.000066476714,0.000011454765,0.000042896252,0.000065894725,0.14259554,0.005314673,0.0025306444,0.8388019,0.0003331273],"about_ca_topic_score_codex":0.0006937459,"about_ca_topic_score_gemma":0.0002753697,"teacher_disagreement_score":0.8102409,"about_ca_system_score_codex":0.0002701695,"about_ca_system_score_gemma":0.0000043581476,"threshold_uncertainty_score":0.9988407},"labels":[],"label_agreement":null},{"id":"W4392882627","doi":"10.1029/2023wr034839","title":"Role of Lakes, Flood, and Low Flow Events in Modifying Catchment‐Scale DOC:TN:TP Stoichiometry and Export","year":2024,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Watershed Management Studies","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":false,"ca_institutions":"Ministry of the Environment, Conservation and Parks; Ministry of Environment; Trent University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Flood myth; Scale (ratio); Environmental science; Hydrology (agriculture); Stoichiometry; Flow (mathematics); Drainage basin; Geology; Geography; Chemistry; Mathematics; Geotechnical engineering; Cartography","score_opus":0.018489135183478105,"score_gpt":0.2829774407224356,"score_spread":0.26448830553895747,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392882627","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99346906,0.0010881927,0.0000049622213,0.00043863352,0.00003101424,0.00025702652,0.000005397037,0.000021767488,0.004683956],"genre_scores_gemma":[0.99620825,0.00022039212,0.000072052644,0.00002361455,0.00002391176,0.00004298055,0.0000056198364,0.000013437504,0.0033897315],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99820644,0.00016314392,0.000202769,0.0004470118,0.00046434507,0.00051631365],"domain_scores_gemma":[0.9996523,0.000058762213,0.000011673668,0.00018736848,0.0000058143264,0.000084032894],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012503128,0.00012493476,0.00017972937,0.00032861187,0.00017946215,0.00003564492,0.00019411622,0.00007126857,0.00033885374],"category_scores_gemma":[0.000011544481,0.00008817331,0.00002436805,0.0003316011,0.00044105537,0.00017057658,0.0010874579,0.00028503445,0.00011502573],"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":[0.00010313582,0.00013887347,0.9141426,0.0003703152,0.000078835255,0.00007128854,0.032522656,0.00049469766,0.04243671,0.000010011218,0.0006219277,0.009008946],"study_design_scores_gemma":[0.0017686804,0.00055739377,0.8004186,0.00042583927,0.00004624656,0.000026644868,0.0060817585,0.027215295,0.044360194,0.006842052,0.11153352,0.00072377396],"about_ca_topic_score_codex":0.0004742931,"about_ca_topic_score_gemma":0.00033087714,"teacher_disagreement_score":0.113724,"about_ca_system_score_codex":0.000052241383,"about_ca_system_score_gemma":0.0000022803024,"threshold_uncertainty_score":0.3710211},"labels":[],"label_agreement":null},{"id":"W4392918805","doi":"10.1029/2023wr035773","title":"Winter/Spring Runoff Is Earlier, More Protracted, and Increasing in Volume in the Laurentian Great Lakes Basin","year":2024,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":8,"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":"Science Mission Directorate; Nuclear Safety and Security Commission; Vermont Space Grant Consortium; National Aeronautics and Space Administration","keywords":"Surface runoff; Snowmelt; Environmental science; Streamflow; Hydrology (agriculture); Spring (device); Snowpack; Structural basin; STREAMS; Climate change; Precipitation; Drainage basin; Snow; Geology; Geography; Oceanography; Ecology","score_opus":0.024905719963379067,"score_gpt":0.290335099978894,"score_spread":0.2654293800155149,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392918805","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98320085,0.00031419456,0.000002476566,0.01095038,0.000027923972,0.00043709044,0.000001940209,0.000027841414,0.0050373306],"genre_scores_gemma":[0.9963251,0.000070983566,0.000028103083,0.00021314934,0.000040078387,0.00008869312,0.0000031101224,0.000014650826,0.0032161367],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9978062,0.00050104695,0.00018073009,0.00044040746,0.00045238333,0.00061921816],"domain_scores_gemma":[0.9996282,0.00009133674,0.000008133961,0.00022335107,0.0000045148804,0.000044483822],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026370422,0.00013052038,0.00013374754,0.0002597851,0.00024715997,0.0002454483,0.00036231626,0.00007171199,0.00078245986],"category_scores_gemma":[0.000032473232,0.00007554707,0.000029798673,0.0003625932,0.00056445174,0.00023985535,0.0007368958,0.0005726466,0.0004147564],"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":[0.00008355788,0.000052318977,0.9258812,0.00009304883,0.000024070774,0.00038192945,0.06560035,0.000071647846,0.0014398606,0.0000073765887,0.002536292,0.0038283495],"study_design_scores_gemma":[0.00028679986,0.000079738296,0.62889796,0.00017072321,0.000008172846,0.000017982216,0.0024650923,0.0023066532,0.00057489204,0.00039715233,0.36462432,0.00017054028],"about_ca_topic_score_codex":0.0048400355,"about_ca_topic_score_gemma":0.0030662548,"teacher_disagreement_score":0.36208802,"about_ca_system_score_codex":0.000074554904,"about_ca_system_score_gemma":0.0000021244584,"threshold_uncertainty_score":0.8567387},"labels":[],"label_agreement":null},{"id":"W4393377146","doi":"10.1029/2023wr035785","title":"Leveraging Next‐Generation Satellite Remote Sensing‐Based Snow Data to Improve Seasonal Water Supply Predictions in a Practical Machine Learning‐Driven River Forecast System","year":2024,"lang":"en","type":"article","venue":"Water Resources Research","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 British Columbia","funders":"Jet Propulsion Laboratory","keywords":"Snow; Remote sensing; Satellite; Environmental science; Water supply; Meteorology; Computer science; Climatology; Engineering; Geography; Geology","score_opus":0.16145821970597052,"score_gpt":0.3237283552884988,"score_spread":0.16227013558252829,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393377146","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98448044,0.00077162386,0.003833128,0.008690859,0.00045287606,0.000725357,0.00027357263,0.00016476927,0.0006073503],"genre_scores_gemma":[0.99042875,0.00007467221,0.0051168054,0.00009683447,0.0006149302,0.0000032417515,0.0021449735,0.000019290326,0.0015005287],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99660593,0.0005249377,0.00034275439,0.0007938777,0.0008637489,0.0008687339],"domain_scores_gemma":[0.9987336,0.0003973911,0.000017618157,0.00048165902,0.00014590587,0.00022381886],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018568584,0.0001965031,0.00021413328,0.00024660016,0.00070867134,0.0007477488,0.00033419847,0.00009368067,0.00050583784],"category_scores_gemma":[0.00016885575,0.00012358671,0.00005611023,0.0005354937,0.00013744466,0.00043056195,0.00026642848,0.0007619545,0.0006166434],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010957717,0.00013030416,0.18634066,0.0010890488,0.00047547783,0.0022236293,0.062998965,0.14792082,0.01851475,0.000037834758,0.011610388,0.56756234],"study_design_scores_gemma":[0.0001685203,0.00012436682,0.009457972,0.00012028015,0.000013597484,0.000022933189,0.00070381013,0.74544805,0.00038895392,0.000010547216,0.24340615,0.00013484425],"about_ca_topic_score_codex":0.0142221665,"about_ca_topic_score_gemma":0.0096773645,"teacher_disagreement_score":0.5975272,"about_ca_system_score_codex":0.00007457398,"about_ca_system_score_gemma":0.00006597889,"threshold_uncertainty_score":0.99234223},"labels":[],"label_agreement":null},{"id":"W4393383891","doi":"10.1029/2023wr036643","title":"An Analytical Framework to Investigate Groundwater‐Atmosphere Interactions Influenced by Soil Properties","year":2024,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Soil Moisture and Remote Sensing","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":false,"ca_institutions":"United Nations University Institute for Water, Environment, and Health","funders":"Deutsche Forschungsgemeinschaft","keywords":"Atmosphere (unit); Groundwater; Environmental science; Soil science; Earth science; Hydrology (agriculture); Geology; Geotechnical engineering; Meteorology; Geography","score_opus":0.04418265603441109,"score_gpt":0.3365833748907749,"score_spread":0.2924007188563638,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393383891","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9845904,0.00011595296,0.00012398082,0.005688688,0.00015016332,0.00024555702,0.0000013168168,0.00016304404,0.0089208875],"genre_scores_gemma":[0.99016464,0.000008558638,0.0008334076,0.00048659724,0.00021154861,0.000012759776,0.000007660384,0.000044136472,0.008230664],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.9970538,0.0003338586,0.00024520585,0.00067007384,0.0008897606,0.0008072782],"domain_scores_gemma":[0.9987493,0.00011076268,0.000008681216,0.00063645776,0.000030332681,0.00046444152],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00072345964,0.00019042857,0.00016347333,0.00006604131,0.0004400497,0.0008719973,0.00063553575,0.00013087234,0.0006898008],"category_scores_gemma":[0.00016666038,0.00011161448,0.0000622382,0.0006348058,0.0006338468,0.0004040672,0.0006727283,0.0009103878,0.0045114025],"study_design_candidate":"bench_or_experimental","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":[0.00020368841,0.0002990088,0.020895835,0.00013353273,0.00012452161,0.00029840344,0.07965718,0.008240371,0.7617441,0.000065126085,0.044941586,0.08339667],"study_design_scores_gemma":[0.00012836083,0.000548993,0.008459907,0.0005166833,0.000024322148,0.0000545267,0.0024500173,0.027159164,0.1488027,0.0045441478,0.80671066,0.0006005447],"about_ca_topic_score_codex":0.0064219325,"about_ca_topic_score_gemma":0.0011716557,"teacher_disagreement_score":0.76176906,"about_ca_system_score_codex":0.0002437022,"about_ca_system_score_gemma":0.000012269202,"threshold_uncertainty_score":0.9962637},"labels":[],"label_agreement":null},{"id":"W4394571400","doi":"10.1029/2023wr036217","title":"A High‐Resolution, Daily Hindcast (1990–2021) of Alaskan River Discharge and Temperature From Coupled and Optimized Physical Models","year":2024,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"National Science Foundation","keywords":"Hindcast; Environmental science; Meteorology; Hydrology (agriculture); Climatology; Geology; Geography; Geotechnical engineering","score_opus":0.018493507966822746,"score_gpt":0.26352610569631896,"score_spread":0.2450325977294962,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394571400","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99628264,0.00048461018,0.00006095622,0.002182451,0.000041255324,0.00027018355,0.000036646295,0.000028247126,0.0006130041],"genre_scores_gemma":[0.997151,0.00025092886,0.00030467837,0.00003293799,0.00008570194,0.00003961814,0.000029388784,0.000016982347,0.002088737],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9981603,0.00020879455,0.00016027731,0.00054578873,0.0004734891,0.00045134636],"domain_scores_gemma":[0.9995234,0.00012367233,0.000013921795,0.00022215558,0.0000137653005,0.00010305818],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005490047,0.0001604392,0.00025095028,0.00010681499,0.00032532157,0.00010583046,0.00020107804,0.000087164815,0.00038108748],"category_scores_gemma":[0.000012503857,0.00009927537,0.000039750277,0.00016884408,0.001238537,0.00027085055,0.0011192726,0.00035880887,0.00013937477],"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":[0.0035132736,0.0013040372,0.045808822,0.0008778043,0.0023549865,0.00070424256,0.41060287,0.04405655,0.4442689,0.003728581,0.03635416,0.00642575],"study_design_scores_gemma":[0.0053823153,0.0009687016,0.048930462,0.00037493775,0.0002808449,0.000016243112,0.0030283453,0.79742545,0.020544566,0.07007226,0.051706996,0.0012688881],"about_ca_topic_score_codex":0.0020518685,"about_ca_topic_score_gemma":0.000045506702,"teacher_disagreement_score":0.7533689,"about_ca_system_score_codex":0.000035053206,"about_ca_system_score_gemma":0.0000025326722,"threshold_uncertainty_score":0.45634416},"labels":[],"label_agreement":null},{"id":"W4394754213","doi":"10.1029/2023wr036614","title":"Remote Sensing of Multitemporal Functional Lake‐To‐Channel Connectivity and Implications for Water Movement Through the Mackenzie River Delta, Canada","year":2024,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"University of Alberta","keywords":"Delta; River delta; Watershed; Hydrology (agriculture); Channel (broadcasting); Geology; Arctic; Sediment; Environmental science; Physical geography; Oceanography; Geomorphology; Geography","score_opus":0.07964085690856602,"score_gpt":0.29566448481502233,"score_spread":0.2160236279064563,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394754213","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9793413,0.000497571,0.0024783313,0.016231956,0.00015669597,0.000485466,0.00056364347,0.000014736941,0.00023025801],"genre_scores_gemma":[0.9976779,0.000027542083,0.0006828149,0.00036622165,0.00014315097,0.0000036387476,0.00019432754,0.0000055583996,0.00089885184],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9988258,0.00007442302,0.00016220105,0.00025779786,0.00029779723,0.00038197925],"domain_scores_gemma":[0.99914944,0.00043714332,0.000010174383,0.00016865536,0.00016761098,0.0000670001],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005534185,0.00008643056,0.00010658643,0.00003272518,0.00065896433,0.00008854581,0.0001125536,0.000027404614,0.00018683709],"category_scores_gemma":[0.000039711307,0.000042990938,0.00003557272,0.0001663647,0.000168795,0.00006774477,0.000076800156,0.00012814242,0.00000975876],"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":[0.001260594,0.00010617542,0.1935468,0.0013175696,0.0014738669,0.000061346946,0.14326416,0.08476296,0.009251377,0.0009646094,0.25507772,0.3089128],"study_design_scores_gemma":[0.00021294647,0.00011397883,0.27844432,0.000035262845,0.000016130269,0.0000049774435,0.0017679265,0.04361523,0.0017938253,0.0068573467,0.6669868,0.00015120856],"about_ca_topic_score_codex":0.65593654,"about_ca_topic_score_gemma":0.83688825,"teacher_disagreement_score":0.41190913,"about_ca_system_score_codex":0.000016734584,"about_ca_system_score_gemma":0.00004489263,"threshold_uncertainty_score":0.5068288},"labels":[],"label_agreement":null},{"id":"W4396639497","doi":"10.1029/2024wr037339","title":"Forest Disturbance Thresholds and Cumulative Hydrological Impacts","year":2024,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":19,"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 British Columbia, Okanagan Campus; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Disturbance (geology); Environmental science; Watershed; Precipitation; Forest management; Hydrology (agriculture); Forest ecology; Climate change; Snow; Ecosystem; Physical geography; Ecology; Geography; Agroforestry; Meteorology; Geology","score_opus":0.0420145479518435,"score_gpt":0.32171894994041283,"score_spread":0.27970440198856933,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4396639497","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95875984,0.0006091722,0.00001920112,0.004326884,0.00004502712,0.0002284778,0.0000023946593,0.00008006112,0.035928957],"genre_scores_gemma":[0.99169725,0.00012606994,0.000025915077,0.00013354087,0.000066351684,0.000045513752,0.0000049222594,0.000013295439,0.007887112],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9980477,0.00017649157,0.00013358636,0.0005011291,0.00044762783,0.00069346145],"domain_scores_gemma":[0.9995375,0.00013541545,0.0000068547984,0.00019816557,0.000006032812,0.00011598102],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0011297748,0.00013545113,0.0001347535,0.00009454772,0.00043142415,0.00014697654,0.00024360223,0.00008396083,0.00078055606],"category_scores_gemma":[0.00003569136,0.0000747989,0.000035708366,0.00020107358,0.001184288,0.00019895236,0.0012410529,0.00038738787,0.0014646259],"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":[0.00029637845,0.0001381781,0.9169259,0.00017858681,0.00020049351,0.000891497,0.03505277,0.0028007096,0.005770964,0.0014214362,0.03156006,0.004763027],"study_design_scores_gemma":[0.00030729754,0.0005427092,0.20748004,0.000057116726,0.000021372172,0.000028491779,0.00029034342,0.011144119,0.0018321954,0.030063363,0.7478732,0.0003597768],"about_ca_topic_score_codex":0.00029963232,"about_ca_topic_score_gemma":0.00013098025,"teacher_disagreement_score":0.7163131,"about_ca_system_score_codex":0.00006263592,"about_ca_system_score_gemma":0.0000012781451,"threshold_uncertainty_score":0.9993129},"labels":[],"label_agreement":null},{"id":"W4396670266","doi":"10.1029/2023wr035727","title":"Streamflow Depletion Caused by Groundwater Pumping: Fundamental Research Priorities for Management‐Relevant Science","year":2024,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Watershed Management Studies","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":"University of Victoria; University of Waterloo","funders":"U.S. Geological Survey","keywords":"Streamflow; Groundwater; Environmental science; Aquifer; Groundwater recharge; Water resource management; Water resources; Hydrology (agriculture); Environmental resource management; Geography; Drainage basin; Ecology; Geology","score_opus":0.05669521824910413,"score_gpt":0.35047625866064813,"score_spread":0.293781040411544,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4396670266","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9722145,0.00025681083,0.00021470184,0.0049302713,0.00025697108,0.001494206,0.000018272465,0.00016772417,0.020446543],"genre_scores_gemma":[0.95431924,0.00019425563,0.00016711371,0.00008371672,0.00012370672,0.00059575884,0.00003250811,0.000045320903,0.044438366],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.9937692,0.00037324586,0.00031463927,0.0012091314,0.0022129754,0.0021207589],"domain_scores_gemma":[0.9989759,0.0002531019,0.000014503032,0.0004984958,0.000063810025,0.00019419231],"candidate_categories":["sts","insufficient_payload"],"consensus_categories":["sts","insufficient_payload"],"category_scores_codex":[0.007867762,0.00023993172,0.00020161521,0.0007583311,0.0025990484,0.0009876371,0.0010531312,0.000102411184,0.0009623016],"category_scores_gemma":[0.000048988833,0.0001660933,0.00008337711,0.0009825679,0.003852683,0.0006786886,0.0025052158,0.00059998035,0.0022380664],"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":[0.0014005951,0.0013394075,0.060263053,0.0034565695,0.0011404873,0.0009824595,0.08589229,0.0007478748,0.40619516,0.0070633236,0.3849795,0.046539307],"study_design_scores_gemma":[0.0005364131,0.0005435783,0.0023187038,0.000098436896,0.000023752904,0.0000053055282,0.0026558589,0.0021600476,0.032465808,0.0061566494,0.95269346,0.00034196876],"about_ca_topic_score_codex":0.00058922503,"about_ca_topic_score_gemma":0.000101369995,"teacher_disagreement_score":0.567714,"about_ca_system_score_codex":0.00072363165,"about_ca_system_score_gemma":0.000012706292,"threshold_uncertainty_score":0.99995095},"labels":[],"label_agreement":null},{"id":"W4396670442","doi":"10.1029/2023wr036099","title":"A Larval “Recruitment Kernel” to Predict Hatching Locations and Quantify Recruitment Patterns","year":2024,"lang":"en","type":"article","venue":"Water Resources Research","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":false,"ca_institutions":"University of Guelph; Ministry of Natural Resources and Forestry; Royal Military College of Canada; Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada; Nature Conservancy; University of Toledo; Ontario Ministry of Natural Resources and Forestry","keywords":"Biological dispersal; Hatching; Kernel (algebra); Larva; Population; Biology; Statistics; Ecology; Mathematics; Demography","score_opus":0.13531633385934794,"score_gpt":0.3749871472468599,"score_spread":0.23967081338751195,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4396670442","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97442895,0.00012426701,0.00024892672,0.014894487,0.00013272584,0.0016545235,0.000013012912,0.00010172197,0.00840137],"genre_scores_gemma":[0.9827199,0.00017206218,0.00015325498,0.00043418573,0.00007050138,0.0012204088,0.000012573933,0.000020268038,0.015196843],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9978888,0.00021473257,0.00017899553,0.00055869983,0.00053773925,0.0006210084],"domain_scores_gemma":[0.999454,0.00012382909,0.000008335794,0.00025493733,0.000010291936,0.0001485817],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0013844266,0.00013499391,0.00012634008,0.00017448443,0.0005505503,0.00022059632,0.00027295272,0.000055666675,0.0015235385],"category_scores_gemma":[0.000030616087,0.00009364666,0.00003214747,0.00021186961,0.00021148263,0.00014420328,0.0015766814,0.00028885182,0.0023897202],"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":[0.0001381643,0.00039478214,0.6497741,0.00044279665,0.00043020822,0.0003782165,0.07654753,0.0010847843,0.0032674132,0.00061632064,0.21315014,0.05377557],"study_design_scores_gemma":[0.00013685525,0.00022747977,0.18918379,0.00007962483,0.000015508018,0.0000053312306,0.0011589186,0.0008535485,0.00080459844,0.00054762873,0.80683714,0.00014955105],"about_ca_topic_score_codex":0.0007595604,"about_ca_topic_score_gemma":0.0017441902,"teacher_disagreement_score":0.59368706,"about_ca_system_score_codex":0.0001913525,"about_ca_system_score_gemma":0.000004168747,"threshold_uncertainty_score":0.99938923},"labels":[],"label_agreement":null},{"id":"W4396673507","doi":"10.1029/2022wr032400","title":"A Flexible Framework for Simulating the Water Balance of Lakes and Reservoirs From Local to Global Scales: mizuRoute‐Lake","year":2024,"lang":"en","type":"article","venue":"Water Resources Research","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":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary; University of Saskatchewan","funders":"Global Water Futures; Fonds Wetenschappelijk Onderzoek","keywords":"Water balance; Hydrology (agriculture); Balance (ability); Environmental science; Geology; Geotechnical engineering","score_opus":0.03342984607605956,"score_gpt":0.32995324790072816,"score_spread":0.29652340182466863,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4396673507","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9778599,0.00019962757,0.007414206,0.012123887,0.000074299845,0.00055322103,0.000047355952,0.000049637685,0.0016778612],"genre_scores_gemma":[0.9967261,0.000016651758,0.0008317165,0.00023636948,0.00009376833,0.000100147576,0.000011649306,0.000015163189,0.0019684571],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99793166,0.0001907018,0.00021540777,0.00049097376,0.0004817526,0.0006895276],"domain_scores_gemma":[0.9991219,0.00044468557,0.000010005768,0.00031881922,0.00001737333,0.00008723857],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013107671,0.00013819622,0.00018069259,0.000053836087,0.0004613724,0.00012973313,0.00045929296,0.000091951995,0.00033431276],"category_scores_gemma":[0.00008059078,0.00006072906,0.00005419656,0.00022046831,0.0009010239,0.000104715,0.0014284654,0.00025177482,0.00032366524],"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":[0.0039625443,0.0004069736,0.45830616,0.0015042052,0.0013162433,0.00025382196,0.23314127,0.15830404,0.02662618,0.003291733,0.047110476,0.06577636],"study_design_scores_gemma":[0.00058174785,0.0005383282,0.010829279,0.000326079,0.00004822914,0.0000032426917,0.003719793,0.033866845,0.02429126,0.10688459,0.8184901,0.0004204967],"about_ca_topic_score_codex":0.0004752317,"about_ca_topic_score_gemma":0.0006751416,"teacher_disagreement_score":0.77137965,"about_ca_system_score_codex":0.000050179744,"about_ca_system_score_gemma":0.0000018147023,"threshold_uncertainty_score":0.416017},"labels":[],"label_agreement":null},{"id":"W4396693952","doi":"10.1029/2023wr034492","title":"The Impacts of Changing Winter Warm Spells on Snow Ablation Over Western North America","year":2024,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","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":"Western University","funders":"Fondo de Financiamiento de Centros de Investigación en Áreas Prioritarias; Agencia Nacional de Investigación y Desarrollo; National Science Foundation","keywords":"Snow; Climatology; Ablation; Environmental science; Physical geography; Meteorology; Geography; Geology; Engineering","score_opus":0.043971538029570365,"score_gpt":0.30043672085699813,"score_spread":0.25646518282742775,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4396693952","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99255496,0.0010079436,0.000017012886,0.0018024339,0.00016163134,0.00017311444,0.00003218458,0.000018925648,0.0042317715],"genre_scores_gemma":[0.9919439,0.00034449575,0.000011958911,0.00008239281,0.00025120293,0.0000012055677,0.000037067537,0.000006041942,0.007321735],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99841315,0.000105352425,0.00017203041,0.00020595673,0.0005785208,0.0005250112],"domain_scores_gemma":[0.9989856,0.00065781653,0.000018729876,0.00020912351,0.000058847738,0.000069902846],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0005514597,0.00009117739,0.00010383739,0.00011209891,0.0003339385,0.00023577888,0.00023654735,0.000026682208,0.0013049525],"category_scores_gemma":[0.000051390107,0.00004424753,0.000058071557,0.00052312436,0.00018276348,0.00009571217,0.00006022395,0.00022843768,0.0013799538],"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":[0.00019972786,0.000027815899,0.8144872,0.00010851395,0.00014314466,0.000039857023,0.042084914,0.004266167,0.00019943531,0.00001658432,0.009396399,0.12903021],"study_design_scores_gemma":[0.00006727973,0.00020348311,0.36105785,0.00007815969,0.0000048196807,0.0000011606829,0.0014664042,0.0073162364,0.00038064233,0.000058623278,0.6292871,0.00007822435],"about_ca_topic_score_codex":0.0017464114,"about_ca_topic_score_gemma":0.0034968748,"teacher_disagreement_score":0.61989075,"about_ca_system_score_codex":0.000010883064,"about_ca_system_score_gemma":0.000011445462,"threshold_uncertainty_score":0.999608},"labels":[],"label_agreement":null},{"id":"W4396731041","doi":"10.1029/2023wr035196","title":"Composition of Stream Dissolved Organic Matter Across Canadian Forested Ecozones Varies in Three Dimensions Linked to Landscape and Climate","year":2024,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Marine and coastal ecosystems","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":"Ontario Forest Research Institute; Dalhousie University; University of British Columbia; Government of British Columbia; Memorial University of Newfoundland; Natural Resources Canada; University of Alberta; Vancouver Island University; University of Waterloo; Trent University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Dissolved organic carbon; Environmental science; STREAMS; Ecosystem; Hydrology (agriculture); Organic matter; Environmental chemistry; Ecology; Chemistry; Geology; Biology","score_opus":0.021539147514125827,"score_gpt":0.26618752092434267,"score_spread":0.24464837341021684,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4396731041","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.995933,0.00025350874,0.0000021964888,0.0009636333,0.0000571818,0.0002789154,0.0002539503,0.000018068064,0.0022395325],"genre_scores_gemma":[0.9994033,0.000027177242,0.000017358738,0.000034651355,0.000044114855,0.0000053482313,0.00019169612,0.0000072278967,0.00026914774],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99848694,0.000113255664,0.00021723397,0.0002705892,0.00026599513,0.0006460069],"domain_scores_gemma":[0.99940735,0.00012663272,0.000009720503,0.00016796976,0.00004996904,0.00023836584],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00065090874,0.000101212645,0.00016852088,0.00034406342,0.00021972125,0.00028720702,0.00016461463,0.00006721145,0.0016045738],"category_scores_gemma":[0.00000924611,0.00006651891,0.000023038827,0.00037174227,0.00007561659,0.000118882985,0.00010489376,0.00020584631,0.00041022018],"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":[0.00007467286,0.0000088742,0.99215484,0.00018792423,0.00001523959,0.00007108529,0.0043105525,0.00016888816,0.00080966414,0.000013834898,0.00016162026,0.0020228212],"study_design_scores_gemma":[0.00016986576,0.000186038,0.9792517,0.00017807576,0.000004504874,0.000018211344,0.0009454123,0.012270176,0.0003148173,0.00030442164,0.006217582,0.00013920612],"about_ca_topic_score_codex":0.26006213,"about_ca_topic_score_gemma":0.9277015,"teacher_disagreement_score":0.6676394,"about_ca_system_score_codex":0.000008823747,"about_ca_system_score_gemma":0.0000289925,"threshold_uncertainty_score":0.9993081},"labels":[],"label_agreement":null},{"id":"W4396893808","doi":"10.1029/2023wr036535","title":"Drag Coefficient of Emergent Vegetation in a Shallow Nonuniform Flow Over a Mobile Sand Bed","year":2024,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Sediment Transport Processes","field":"Environmental Science","cited_by":25,"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 British Columbia","funders":"Fundamental Research Funds for the Central Universities; National Natural Science Foundation of China","keywords":"Drag coefficient; Geology; Geotechnical engineering; Drag; Vegetation (pathology); Flow (mathematics); Friction coefficient; Mechanics; Geometry; Materials science; Mathematics","score_opus":0.01961665579898457,"score_gpt":0.30023163512839124,"score_spread":0.28061497932940666,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4396893808","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9932392,0.0005343179,0.000053544743,0.00019012166,0.00005204645,0.00033990282,0.0000044334734,0.000024937422,0.005561443],"genre_scores_gemma":[0.9989077,0.00006815009,0.000048250444,0.000021137266,0.000021193451,0.00010097298,0.00002103089,0.00001329159,0.00079826603],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99814045,0.00009682882,0.00026237642,0.00034729572,0.00069780234,0.00045524072],"domain_scores_gemma":[0.9996699,0.000056674944,0.00001074369,0.00017169063,0.000013372423,0.00007759249],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0011162789,0.000100488396,0.00013480306,0.00021125737,0.00009049991,0.00003321562,0.00025038028,0.000088102635,0.0051833377],"category_scores_gemma":[0.000009839179,0.00006863663,0.0000482466,0.00046966245,0.00029471924,0.0001377887,0.00012575823,0.00028781223,0.00046834158],"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":[0.0007107859,0.0013447406,0.2547448,0.00139107,0.00011657497,0.00053694827,0.16370273,0.29458687,0.2514268,0.00006239741,0.0012438021,0.030132525],"study_design_scores_gemma":[0.001808761,0.0015157101,0.06940915,0.0004990445,0.00003693328,0.000014478167,0.00091648457,0.3397137,0.25979728,0.0015034542,0.32413185,0.0006531628],"about_ca_topic_score_codex":0.00041143797,"about_ca_topic_score_gemma":0.0005421531,"teacher_disagreement_score":0.32288805,"about_ca_system_score_codex":0.00008218785,"about_ca_system_score_gemma":0.0000108815975,"threshold_uncertainty_score":0.99572605},"labels":[],"label_agreement":null},{"id":"W4399741196","doi":"10.1029/2022wr034326","title":"Climate Driven Trends in Historical Extreme Low Streamflows on Four Continents","year":2024,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":21,"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; University of Saskatchewan","funders":"HORIZON EUROPE Marie Sklodowska-Curie Actions; Natural Environment Research Council; Sight Research UK","keywords":"Climatology; Environmental science; Pacific decadal oscillation; Extreme Cold; El Niño Southern Oscillation; Climate change; Period (music); Geology; Oceanography","score_opus":0.06987172304994843,"score_gpt":0.3095479583515312,"score_spread":0.23967623530158277,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399741196","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94693893,0.00007057703,0.0000029074045,0.005653408,0.00014699371,0.00015233622,0.0000035059938,0.00007452,0.04695684],"genre_scores_gemma":[0.9675427,0.000075504344,0.000028859688,0.00008090066,0.00006472324,0.000065830296,0.000010800531,0.000021331001,0.03210935],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9973211,0.00028387003,0.00022142475,0.00057961326,0.0006664619,0.0009275151],"domain_scores_gemma":[0.99953234,0.000079845275,0.000009872966,0.00027599148,0.0000055770374,0.00009638109],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0010579585,0.00015969835,0.00018332111,0.0004746051,0.00023705974,0.00008317239,0.0003784439,0.000088713,0.0020440978],"category_scores_gemma":[0.000017063,0.000104160776,0.000068978465,0.0004374855,0.00022002049,0.00012298269,0.0007994264,0.0004854621,0.003921369],"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":[0.001042078,0.0011143123,0.6062423,0.00029683384,0.00020614624,0.0049926853,0.030090252,0.009158233,0.011150347,0.00024458024,0.19626439,0.13919787],"study_design_scores_gemma":[0.00074858195,0.00046608358,0.06420329,0.0001565889,0.000013546377,0.0000055848554,0.00014686667,0.0090140235,0.0017004246,0.0005417018,0.9226338,0.00036950497],"about_ca_topic_score_codex":0.00076233083,"about_ca_topic_score_gemma":0.00065636507,"teacher_disagreement_score":0.7263694,"about_ca_system_score_codex":0.0005512722,"about_ca_system_score_gemma":0.000001154087,"threshold_uncertainty_score":0.99886817},"labels":[],"label_agreement":null},{"id":"W4400130066","doi":"10.1029/2023wr036910","title":"Toward a Unified Understanding of Estimating Evapotranspiration: The Linkage Between Three Effective Parsimonious Models","year":2024,"lang":"en","type":"article","venue":"Water Resources Research","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":false,"ca_institutions":"Global Institute for Water Security; University of Saskatchewan; University of Waterloo","funders":"Global Water Futures","keywords":"Evapotranspiration; Statistical physics; Entropy production; Dissipation; Entropy (arrow of time); Mathematics; Environmental science; Thermodynamics; Physics","score_opus":0.11917101631321758,"score_gpt":0.31426458207538743,"score_spread":0.19509356576216985,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400130066","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9278748,0.00013698214,0.05962585,0.00090307475,0.000057477086,0.0005855694,0.00002527342,0.000062674975,0.010728268],"genre_scores_gemma":[0.99918103,0.000007907666,0.0003789627,0.0000073491487,0.000070654074,0.000044651406,0.000020747235,0.00001997597,0.0002687414],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99799836,0.00025313604,0.00023801441,0.0003108062,0.0007808939,0.00041878008],"domain_scores_gemma":[0.9992339,0.00040632876,0.000019923022,0.00025719588,0.000014674143,0.00006796435],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017440919,0.00012033255,0.00014269521,0.00011801131,0.00034328492,0.00019822292,0.00039107102,0.0000920233,0.000106233776],"category_scores_gemma":[0.000014619596,0.000067151675,0.00008561804,0.00042347694,0.000406878,0.00021372539,0.00025870505,0.00049954647,0.00010104238],"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":[0.00006780794,0.000055508393,0.014820625,0.000327991,0.0002448346,0.000103111364,0.06143959,0.89368224,0.007422101,0.00554975,0.000107919324,0.016178545],"study_design_scores_gemma":[0.00015210467,0.00011147417,0.0009366662,0.00012879628,0.000029761912,0.000006480318,0.00020517314,0.930156,0.0015386388,0.06561982,0.0009871735,0.00012789566],"about_ca_topic_score_codex":0.0006109989,"about_ca_topic_score_gemma":0.00012118844,"teacher_disagreement_score":0.07130618,"about_ca_system_score_codex":0.00025675198,"about_ca_system_score_gemma":0.0000084613175,"threshold_uncertainty_score":0.27383658},"labels":[],"label_agreement":null},{"id":"W4400134189","doi":"10.1029/2023wr035213","title":"High Spatial Resolution in Total Water Storage Variations Inferred From GPS: Case Study in the Great Lakes Watershed, US","year":2024,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Geophysics and Gravity Measurements","field":"Earth and Planetary Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Global Positioning System; Environmental science; Watershed; Inversion (geology); Amplitude; Groundwater; Water storage; Geodesy; Remote sensing; Geology; Geomorphology; Computer science","score_opus":0.06294098907919309,"score_gpt":0.2909887824916407,"score_spread":0.22804779341244757,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400134189","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9978599,0.000092902395,0.000009719801,0.0007128534,0.0002209089,0.0006944078,0.00010467557,0.000024695368,0.00027995175],"genre_scores_gemma":[0.9988978,0.0000032264704,0.000012356757,0.000021290105,0.00026247246,0.000026727179,0.0003968163,0.000007898212,0.00037142806],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9960766,0.0013396759,0.00031115705,0.0004799095,0.001063601,0.0007290435],"domain_scores_gemma":[0.9993086,0.00017486543,0.000010835237,0.000364759,0.000057580997,0.000083373845],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027535583,0.00016690805,0.00018187815,0.000433265,0.00034266783,0.00068352517,0.00035281034,0.00008231674,0.00087394397],"category_scores_gemma":[0.000025639121,0.00008295687,0.00004897122,0.0003876175,0.000094044924,0.0002642551,0.00008191476,0.0006341645,0.0006346189],"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":[0.0003150746,0.00043499703,0.77174646,0.000055863435,0.00009983615,0.014867561,0.18776113,0.0136989355,0.0015479693,0.000008457128,0.00026293853,0.009200771],"study_design_scores_gemma":[0.0013265801,0.00068170903,0.95011747,0.00006904852,0.000027359156,0.00011866132,0.008627916,0.02994772,0.0005942791,0.0024599019,0.0056663654,0.00036298775],"about_ca_topic_score_codex":0.4810703,"about_ca_topic_score_gemma":0.23451896,"teacher_disagreement_score":0.24655136,"about_ca_system_score_codex":0.000031216896,"about_ca_system_score_gemma":0.000022159462,"threshold_uncertainty_score":0.95690733},"labels":[],"label_agreement":null},{"id":"W4400200760","doi":"10.1029/2023wr036018","title":"Hydraulic Properties Within the Complete Moisture Range of Hydric Soil on the Tibetan Plateau","year":2024,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Soil and Unsaturated Flow","field":"Engineering","cited_by":7,"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 Natural Science Foundation of China","keywords":"Hydric soil; Soil water; Soil science; Sphagnum; Environmental science; Water content; Wetland; Plateau (mathematics); Water retention; Hydraulic conductivity; Hydrology (agriculture); Geology; Geotechnical engineering; Mathematics; Ecology; Peat; Biology","score_opus":0.060791612639695784,"score_gpt":0.2580679868655358,"score_spread":0.19727637422584,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400200760","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9758839,0.0028158536,0.000002786543,0.0034527879,0.000183638,0.00032110792,0.000010498525,0.00020081796,0.017128587],"genre_scores_gemma":[0.99653494,0.00006785851,0.0000029029738,0.000068346664,0.00022222889,0.00007164766,0.000005370224,0.00005391248,0.0029727956],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.9981016,0.00026156125,0.0002232983,0.00021701732,0.00072325737,0.00047325675],"domain_scores_gemma":[0.9991861,0.000219604,0.00000884066,0.0004679843,0.00006156671,0.000055926655],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010630498,0.00017313294,0.00016490684,0.00017950502,0.00025963553,0.00024823187,0.0006074426,0.00009935589,0.000073534844],"category_scores_gemma":[0.000028655018,0.00006406592,0.000081545055,0.00046043325,0.00031436555,0.00005973838,0.000117987714,0.0011282499,0.00044494672],"study_design_candidate":"bench_or_experimental","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":[0.00073247566,0.00016450898,0.0008455059,0.002957023,0.0016068554,0.00037265077,0.2928907,0.19456337,0.40075782,0.0027741576,0.085051306,0.017283604],"study_design_scores_gemma":[0.00038818514,0.00027589666,0.0012400687,0.000750313,0.000035729376,0.000035453726,0.002983719,0.31692764,0.21537945,0.0012215901,0.4603318,0.0004301693],"about_ca_topic_score_codex":0.0003033119,"about_ca_topic_score_gemma":0.00009030584,"teacher_disagreement_score":0.3752805,"about_ca_system_score_codex":0.000048723727,"about_ca_system_score_gemma":0.000011623206,"threshold_uncertainty_score":0.5719038},"labels":[],"label_agreement":null},{"id":"W4400241517","doi":"10.1029/2023wr036105","title":"Improved Estimates of Sub‐Regional Groundwater Storage Anomaly Using Coordinated Forward Modeling","year":2024,"lang":"en","type":"article","venue":"Water Resources Research","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":"Global Institute for Water Security; University of Saskatchewan","funders":"","keywords":"Hydrogeology; Aquifer; Groundwater; Scale (ratio); Anomaly (physics); Footprint; Environmental science; Grid; Geology; Hydrology (agriculture); Soil science; Groundwater model; Site selection; Geodesy; Groundwater recharge; Geotechnical engineering; Geography; Cartography","score_opus":0.09475796766279183,"score_gpt":0.3069214048910391,"score_spread":0.21216343722824726,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400241517","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9976101,0.0006678043,0.00084288337,0.00015642766,0.00011866138,0.00022138421,0.000030583655,0.000040734772,0.0003114221],"genre_scores_gemma":[0.99920493,0.000009569282,0.00030481847,0.000012007937,0.00010902685,0.0000022739255,0.00011202488,0.000012546272,0.0002328022],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99764156,0.00019497027,0.00026992176,0.00039504707,0.00080377806,0.00069473824],"domain_scores_gemma":[0.9992891,0.00010351698,0.000018793646,0.00022397214,0.00022215948,0.0001424835],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017563544,0.00016067094,0.00021214772,0.00035524045,0.00027670397,0.0003306672,0.00033486306,0.00008199995,0.0003343274],"category_scores_gemma":[0.000022728183,0.00010407286,0.000099931814,0.0003643828,0.00016717678,0.00026271096,0.0000664559,0.00033524362,0.00013475669],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010825323,0.00027564957,0.09342389,0.0017563046,0.00067548954,0.0003052241,0.013023234,0.13776784,0.72022915,0.00007482928,0.00047810742,0.030907752],"study_design_scores_gemma":[0.00017278385,0.00018599654,0.0021810967,0.00010199058,0.000016230482,0.000009693358,0.00016310245,0.9740241,0.019702647,0.0020709627,0.0012059533,0.00016543792],"about_ca_topic_score_codex":0.01630235,"about_ca_topic_score_gemma":0.000439617,"teacher_disagreement_score":0.83625627,"about_ca_system_score_codex":0.000016871914,"about_ca_system_score_gemma":0.000042003718,"threshold_uncertainty_score":0.9902482},"labels":[],"label_agreement":null},{"id":"W4400852141","doi":"10.1029/2024wr037348","title":"Evaluating the Effect of Morphologic Units on Fractional Sediment Mobility and Bedload Transport in a Small Pool‐Riffle Reach","year":2024,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Sediment Transport Processes","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Bed load; Riffle; Sediment transport; Shear stress; Sediment; Geology; Hydrology (agriculture); Hyperconcentrated flow; Bedform; Soil science; Geomorphology; Geotechnical engineering; STREAMS; Mechanics","score_opus":0.07411319837571843,"score_gpt":0.35927530873492114,"score_spread":0.2851621103592027,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400852141","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9966293,0.00028169338,0.0000071638224,0.0007776906,0.000029612605,0.00048306864,0.0000076127085,0.000022915752,0.0017609539],"genre_scores_gemma":[0.9992441,0.000024824745,0.000013657995,0.000039688737,0.000021134338,0.00011924757,0.00001739593,0.000009581057,0.00051040266],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9977118,0.0006068682,0.00023562502,0.00044267028,0.0006090434,0.0003940005],"domain_scores_gemma":[0.9990818,0.0006213517,0.000014177432,0.0002093217,0.0000133990825,0.000059942802],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0057277754,0.000125368,0.00015956188,0.00010948437,0.00018314664,0.000021167156,0.0002513888,0.00010339833,0.0012205951],"category_scores_gemma":[0.000055839922,0.000064111686,0.000033034685,0.0004083159,0.0005850069,0.00007610395,0.00008028525,0.0006567107,0.000094010655],"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":[0.0028369157,0.00040963167,0.76442575,0.00068642903,0.00010619882,0.00031156803,0.024627946,0.04250744,0.13872139,0.00004157426,0.0001518912,0.025173254],"study_design_scores_gemma":[0.0024557114,0.011839444,0.5783248,0.00044170758,0.00010166975,0.00006579616,0.0006610667,0.028778682,0.35061282,0.0024962446,0.02364337,0.0005786909],"about_ca_topic_score_codex":0.0010915322,"about_ca_topic_score_gemma":0.00018083079,"teacher_disagreement_score":0.21189141,"about_ca_system_score_codex":0.000069740294,"about_ca_system_score_gemma":0.000011629661,"threshold_uncertainty_score":0.99969244},"labels":[],"label_agreement":null},{"id":"W4401174087","doi":"10.1029/2023wr036900","title":"Streamflow Intermittence in Europe: Estimating High‐Resolution Monthly Time Series by Downscaling of Simulated Runoff and Random Forest Modeling","year":2024,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":22,"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":"Natural Sciences and Engineering Research Council of Canada; Agence Nationale de la Recherche","keywords":"Streamflow; Downscaling; Environmental science; Perennial plant; Surface runoff; Climatology; Series (stratigraphy); Hydrology (agriculture); Precipitation; Meteorology; Geography; Geology; Drainage basin; Ecology","score_opus":0.014730930570221267,"score_gpt":0.2622032414031584,"score_spread":0.24747231083293716,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401174087","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9969772,0.00034120376,0.0005464346,0.00063337135,0.000034630346,0.00026566937,0.000008188091,0.000050642117,0.0011426501],"genre_scores_gemma":[0.9982612,0.000054296466,0.0004422394,0.000012562623,0.000021541593,0.000015146461,0.000021788997,0.000017894956,0.0011532962],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99816006,0.0002618696,0.0002988492,0.0004152758,0.0003679313,0.00049603544],"domain_scores_gemma":[0.9996192,0.00012620492,0.000017384315,0.0001630109,0.000020655703,0.00005353197],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013665264,0.00013934339,0.00020653351,0.00017269902,0.00022559598,0.00009246283,0.00022621064,0.00006663035,0.00012264456],"category_scores_gemma":[0.00007847774,0.00009687281,0.000023715971,0.00035186813,0.00045900806,0.00031801616,0.0007948166,0.00030234622,0.00012930419],"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":[0.00029789947,0.0000378715,0.011435858,0.000129642,0.00003943855,0.00006441147,0.0060644546,0.9658374,0.013662558,0.000009317193,0.0004210046,0.0020001268],"study_design_scores_gemma":[0.00042936538,0.00009877978,0.0006042054,0.00015326802,0.000009280957,0.000001798179,0.0001222703,0.9950077,0.001525269,0.0006554099,0.0012790808,0.00011357995],"about_ca_topic_score_codex":0.0020386316,"about_ca_topic_score_gemma":0.00011223151,"teacher_disagreement_score":0.029170275,"about_ca_system_score_codex":0.000051155905,"about_ca_system_score_gemma":0.0000024576966,"threshold_uncertainty_score":0.39503586},"labels":[],"label_agreement":null},{"id":"W4401399218","doi":"10.1029/2023wr036873","title":"A Probabilistic Approach to Characterizing Drought Using Satellite Gravimetry","year":2024,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Geophysics and Gravity Measurements","field":"Earth and Planetary Sciences","cited_by":18,"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":"","keywords":"Gravimetry; Probabilistic logic; Satellite; Environmental science; Satellite altimetry; Remote sensing; Geology; Statistics; Mathematics; Geotechnical engineering; Engineering; Altimeter","score_opus":0.11427780209993169,"score_gpt":0.3128983759877791,"score_spread":0.1986205738878474,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401399218","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98724014,0.00065487914,0.000060656937,0.00024955743,0.00018517274,0.00046789466,0.00003522871,0.000063451494,0.011043031],"genre_scores_gemma":[0.99710226,0.000010511452,0.00083175476,0.00006632467,0.00033623708,0.0000062928875,0.00010359746,0.000013268815,0.0015297246],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99690074,0.00028538908,0.00021955291,0.00058043934,0.001108468,0.00090543245],"domain_scores_gemma":[0.9992255,0.00007259508,0.000010436755,0.00031512426,0.00009883889,0.00027752412],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0019389954,0.00016497113,0.00018027236,0.0004236612,0.00035886798,0.0008600361,0.00041552965,0.000068416746,0.00023548123],"category_scores_gemma":[0.00003515037,0.00010771722,0.00007383351,0.0008301205,0.00010675142,0.0001845381,0.00008355553,0.00043750793,0.0018602803],"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":[0.0006588734,0.0006383172,0.18960403,0.004715529,0.00059019646,0.0006312298,0.07685585,0.009032334,0.21473171,0.00088266056,0.0012064435,0.5004528],"study_design_scores_gemma":[0.00039849672,0.00056145265,0.17349756,0.0006377459,0.000055408393,0.00008998479,0.00094103767,0.08432099,0.012701852,0.012985643,0.7125849,0.0012249422],"about_ca_topic_score_codex":0.0023200642,"about_ca_topic_score_gemma":0.000068415226,"teacher_disagreement_score":0.71137846,"about_ca_system_score_codex":0.000021392312,"about_ca_system_score_gemma":0.000029988427,"threshold_uncertainty_score":0.99891686},"labels":[],"label_agreement":null},{"id":"W4401553156","doi":"10.1029/2024wr037397","title":"Impact of Peat Extraction on Downstream Concentrations and Attenuation of Dissolved Organic Carbon and Nutrients","year":2024,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Peatlands and Wetlands Ecology","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":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; National Science Foundation","keywords":"Peat; Dissolved organic carbon; Environmental science; Hydrology (agriculture); Eutrophication; Biogeochemical cycle; Environmental chemistry; Nutrient; Water quality; Extraction (chemistry); Wetland; Chemistry; Ecology; Geology","score_opus":0.02292246717422321,"score_gpt":0.32222978527820145,"score_spread":0.29930731810397826,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401553156","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9976323,0.00007322967,0.0000041805647,0.00014035436,0.00001654882,0.0001499705,0.000009689285,0.0000076114165,0.00196609],"genre_scores_gemma":[0.9994766,0.00011655108,0.000006420234,0.0000014996011,0.000019702267,0.000007006167,0.000019042265,0.0000060307225,0.0003471654],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99913985,0.000094628354,0.00012839319,0.0001929261,0.00025117144,0.00019305924],"domain_scores_gemma":[0.9997089,0.00009730837,0.000016728001,0.00010169136,0.0000137921725,0.00006157884],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003223441,0.000060929076,0.00009535825,0.000089248766,0.00006622724,0.000032224678,0.00005622211,0.00005000841,0.0003371489],"category_scores_gemma":[0.000023642038,0.00003722443,0.000021250844,0.00014114614,0.00023641073,0.00006720509,0.0000834754,0.00012164277,0.000010116379],"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":[0.000081362974,0.000065518645,0.664152,0.000024882991,0.000019482162,0.000004773189,0.002771454,0.00003221348,0.3306011,0.0000073442,0.00010187018,0.0021379944],"study_design_scores_gemma":[0.0003618048,0.00079703715,0.96311253,0.000043797736,0.000011192786,0.000009898471,0.00014739101,0.0034755922,0.030981427,0.00019826349,0.0007923655,0.00006868478],"about_ca_topic_score_codex":0.0009246076,"about_ca_topic_score_gemma":0.000114352464,"teacher_disagreement_score":0.29961964,"about_ca_system_score_codex":0.00007203641,"about_ca_system_score_gemma":0.000005756807,"threshold_uncertainty_score":0.36915442},"labels":[],"label_agreement":null},{"id":"W4401594166","doi":"10.1029/2023wr036852","title":"A Continuous Root Water Uptake Isotope Mixing Model","year":2024,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Isotope Analysis in Ecology","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":false,"ca_institutions":"University of Saskatchewan","funders":"Natural Sciences and Engineering Research Council of Canada; China Scholarship Council","keywords":"Mixing (physics); Isotope; Root (linguistics); Environmental science; Hydrology (agriculture); Soil science; Geology; Geotechnical engineering; Physics; Nuclear physics","score_opus":0.03320185195678049,"score_gpt":0.3079458237220938,"score_spread":0.2747439717653133,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401594166","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92872757,0.00012238913,0.0002443858,0.0019211837,0.00008552101,0.00031509154,0.0000033716185,0.00012016083,0.06846035],"genre_scores_gemma":[0.91099066,0.000012184302,0.00026415422,0.00012084309,0.00012034669,0.0001077373,0.0000133392805,0.000049244147,0.08832148],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.99615216,0.0003284944,0.0003478114,0.0007690113,0.0009934715,0.0014090532],"domain_scores_gemma":[0.99912274,0.00008410145,0.000010053591,0.0005826367,0.000028934232,0.00017151554],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0026063847,0.00019476986,0.00025275938,0.00028539685,0.0004047536,0.0004030796,0.0008374685,0.00015015462,0.011007351],"category_scores_gemma":[0.00004129325,0.0001111777,0.00013562899,0.0003337951,0.0005100332,0.00025515788,0.0015492266,0.000686677,0.022441776],"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":[0.00020221494,0.00035439373,0.029293183,0.00017175857,0.00033021497,0.001622715,0.07034611,0.043879215,0.7268184,0.0003083418,0.09291467,0.033758804],"study_design_scores_gemma":[0.0001875922,0.000116562114,0.00074262253,0.000024841584,0.000020300393,0.000030485151,0.00026741278,0.13042393,0.07000818,0.0023682062,0.79552937,0.000280514],"about_ca_topic_score_codex":0.0005519201,"about_ca_topic_score_gemma":0.0005088183,"teacher_disagreement_score":0.70261467,"about_ca_system_score_codex":0.00027804103,"about_ca_system_score_gemma":0.00000860354,"threshold_uncertainty_score":0.9898967},"labels":[],"label_agreement":null},{"id":"W4401656993","doi":"10.1029/2023wr036948","title":"Snowdrift‐Permitting Simulations of Seasonal Snowpack Processes Over Large Mountain Extents","year":2024,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Global Institute for Water Security; Government of Alberta; University of Saskatchewan; Environment and Climate Change Canada","funders":"Global Water Futures; Natural Sciences and Engineering Research Council of Canada; Alberta Innovates","keywords":"Snowpack; Snow; Environmental science; Geology; Climatology; Hydrology (agriculture); Meteorology; Atmospheric sciences; Geomorphology; Geography; Geotechnical engineering","score_opus":0.05516106471192834,"score_gpt":0.3292919573833929,"score_spread":0.27413089267146457,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401656993","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99169594,0.0033882943,0.000048075628,0.00045279384,0.000096712356,0.00020947421,0.00027203828,0.000052719475,0.003783951],"genre_scores_gemma":[0.9959325,0.00011128937,0.000122059835,0.000039596114,0.00022964818,0.000004196376,0.0001474324,0.000008820335,0.0034044653],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99785805,0.00012901607,0.00025040063,0.00032481304,0.0008195134,0.0006182091],"domain_scores_gemma":[0.9988625,0.00059982296,0.000019130819,0.00018785731,0.00022672537,0.00010397251],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008028713,0.00011755824,0.0001530627,0.00012274463,0.0005092759,0.00021312798,0.00027213388,0.000058443136,0.005404711],"category_scores_gemma":[0.0002026617,0.00007613639,0.000058088535,0.0008520637,0.00015350088,0.00022456639,0.00009201882,0.00027389068,0.0002532602],"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":[0.00005468222,0.00007239237,0.96676296,0.0005797302,0.000109921864,0.00003889717,0.010109937,0.0053285817,0.00035614104,0.0001311601,0.0031103052,0.013345302],"study_design_scores_gemma":[0.00027482177,0.0001331465,0.36592802,0.00021654187,0.000017547636,0.0000041071244,0.0029887995,0.11831235,0.00057149,0.0005398528,0.5107933,0.0002199752],"about_ca_topic_score_codex":0.0017019917,"about_ca_topic_score_gemma":0.0023772467,"teacher_disagreement_score":0.6008349,"about_ca_system_score_codex":0.000015330184,"about_ca_system_score_gemma":0.000055969667,"threshold_uncertainty_score":0.9955045},"labels":[],"label_agreement":null},{"id":"W4401706509","doi":"10.1029/2023wr036719","title":"Bedrock Controls on Water and Energy Partitioning","year":2024,"lang":"en","type":"article","venue":"Water Resources Research","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":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Foundation for Innovation","keywords":"Bedrock; Geology; Hydrology (agriculture); Energy (signal processing); Environmental science; Geomorphology; Geotechnical engineering","score_opus":0.027103019690493738,"score_gpt":0.2875359006565501,"score_spread":0.2604328809660564,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401706509","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93180114,0.00014970089,0.0000344561,0.006837624,0.000060252278,0.000084415115,0.0000014802471,0.00007336354,0.06095759],"genre_scores_gemma":[0.96582526,0.000062088926,0.000008064553,0.00033093663,0.000077494886,0.000074344716,0.000009299141,0.0000134773945,0.033599023],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.9983248,0.00018357689,0.00011467488,0.0003893936,0.00037521173,0.00061232183],"domain_scores_gemma":[0.9996827,0.00007664371,0.000003341277,0.00015645578,0.0000050326985,0.000075795746],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00078668224,0.000104253275,0.000104448234,0.000116274,0.00048922206,0.00016291275,0.0001500984,0.000054100004,0.0015582499],"category_scores_gemma":[0.000008959102,0.000054410255,0.00002850072,0.00007758054,0.0004174841,0.00011838447,0.00061381067,0.00021588664,0.0023882275],"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":[0.0016964381,0.0007259006,0.11273251,0.00061377086,0.0014081617,0.003261412,0.14193723,0.012661121,0.35869944,0.013271663,0.25484005,0.098152325],"study_design_scores_gemma":[0.00016532162,0.00017911098,0.0009427776,0.00002357868,0.000007398677,0.000004304651,0.000109323584,0.001281165,0.025451448,0.004433125,0.96729213,0.00011028887],"about_ca_topic_score_codex":0.00027059283,"about_ca_topic_score_gemma":0.00007170221,"teacher_disagreement_score":0.7124521,"about_ca_system_score_codex":0.000044077122,"about_ca_system_score_gemma":6.087514e-7,"threshold_uncertainty_score":0.9993545},"labels":[],"label_agreement":null},{"id":"W4401848963","doi":"10.1029/2024wr037454","title":"The Influence of Tree Infilling on Energy Partitioning, Vegetation Water Use, and Soil Water State in Sparse Conifer Stands of the Taiga Shield Ecoregion","year":2024,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Climate change and permafrost","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":"Université de Montréal; Wilfrid Laurier University; Government of Northwest Territories; Environment and Climate Change Canada","funders":"Global Water Futures; Environment and Climate Change Canada; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Taiga; Ecoregion; Vegetation (pathology); Environmental science; Boreal; Shield; Tree (set theory); Geology; Forestry; Hydrology (agriculture); Physical geography; Geography; Geotechnical engineering; Ecology","score_opus":0.06891789014724187,"score_gpt":0.2800018838676403,"score_spread":0.21108399372039843,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401848963","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99828565,0.0002983468,0.0000011253829,0.00070425984,0.000068138754,0.00012460136,0.00006890688,0.000007414849,0.00044153273],"genre_scores_gemma":[0.99836946,0.000591818,0.0000010531222,0.000056058427,0.000041128784,0.000006193047,0.00012168014,0.000006453278,0.0008061613],"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99822116,0.0003027547,0.00028726668,0.00022261243,0.0004976659,0.0004685608],"domain_scores_gemma":[0.999268,0.00035822563,0.00001991665,0.00021740429,0.000082458544,0.00005397126],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011428378,0.00010597266,0.0001273103,0.00017769319,0.00023001034,0.00026259458,0.00021226438,0.000060677216,0.00022873351],"category_scores_gemma":[0.000024410763,0.0000400384,0.000039572224,0.0001289079,0.00038888628,0.00023317819,0.00007097303,0.0002578368,0.00002858281],"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":[0.0006348175,0.00003372796,0.7889676,0.0003975909,0.00005180511,0.000053109805,0.08280625,0.041923046,0.07920384,0.00007680201,0.00027954264,0.005571875],"study_design_scores_gemma":[0.00045539768,0.00048599066,0.28856772,0.0007201767,0.000012360496,0.000010893411,0.000976965,0.011239178,0.6465572,0.0036110394,0.047126114,0.00023694556],"about_ca_topic_score_codex":0.012266136,"about_ca_topic_score_gemma":0.06377114,"teacher_disagreement_score":0.56735337,"about_ca_system_score_codex":0.000007984996,"about_ca_system_score_gemma":0.000013467092,"threshold_uncertainty_score":0.9943113},"labels":[],"label_agreement":null},{"id":"W4402140527","doi":"10.1029/2023wr036392","title":"Phenological Shifts in Lake Ice Cover Across the Northern Hemisphere: A Glimpse Into the Past, Present, and the Future of Lake Ice Phenology","year":2024,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"Natural Sciences and Engineering Research Council of Canada; ArcticNet","keywords":"Phenology; Northern Hemisphere; Climatology; Cover (algebra); Cryosphere; Physical geography; Environmental science; Geology; Geography; Sea ice; Ecology","score_opus":0.040932680294087864,"score_gpt":0.30568652825829584,"score_spread":0.264753847964208,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402140527","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9446364,0.012245386,7.478995e-7,0.03878294,0.00014695109,0.00046815895,0.00059085636,0.000020886027,0.0031076923],"genre_scores_gemma":[0.9951941,0.0011743889,0.0000025171132,0.00033772198,0.0013195268,0.000026556965,0.00022408026,0.000010508446,0.0017106012],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9968688,0.0009906975,0.000285582,0.00041830682,0.0006326091,0.00080401497],"domain_scores_gemma":[0.997802,0.0015286916,0.000031558087,0.00047913316,0.000075275064,0.00008334229],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0027040814,0.00018355319,0.00024076863,0.000056932775,0.0005571212,0.00040402342,0.0009647964,0.00016620658,0.004353761],"category_scores_gemma":[0.00003822324,0.00006404581,0.00007940234,0.0005005007,0.0018109515,0.000116374154,0.00034776106,0.000985278,0.00031400647],"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":[0.0023720104,0.00007840432,0.56424606,0.00038061882,0.00015650695,0.00025537345,0.33536598,0.00047864256,0.00045918385,0.00012703742,0.00851502,0.08756519],"study_design_scores_gemma":[0.0005926366,0.0001243995,0.070016384,0.00003823774,0.000010966297,0.000027831735,0.01307116,0.0022669756,0.000059690006,0.0015162659,0.91215223,0.00012323665],"about_ca_topic_score_codex":0.0075181457,"about_ca_topic_score_gemma":0.51850224,"teacher_disagreement_score":0.9036372,"about_ca_system_score_codex":0.0000061322758,"about_ca_system_score_gemma":0.000020983654,"threshold_uncertainty_score":0.99909085},"labels":[],"label_agreement":null},{"id":"W4402311834","doi":"10.1029/2023wr034900","title":"Comprehensive Flow Turbulence Metrics to Improve Bar Rack Guidance for Downstream Migrating Fish","year":2024,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Fish Ecology and Management Studies","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":false,"ca_institutions":"Fisheries and Oceans Canada; University of Manitoba","funders":"Fisheries and Oceans Canada","keywords":"Rack; Downstream (manufacturing); Turbulence; Bar (unit); Fish <Actinopterygii>; Environmental science; Flow (mathematics); Upstream (networking); Hydrology (agriculture); Geology; Marine engineering; Engineering; Fishery; Geotechnical engineering; Geography; Mechanics; Physics; Meteorology; Biology; Oceanography; Operations management; Mechanical engineering","score_opus":0.03725473215898749,"score_gpt":0.3166113496019016,"score_spread":0.2793566174429141,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402311834","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96626264,0.00028529708,0.0007187737,0.012365663,0.00037929855,0.0018135377,0.00008884928,0.00015941789,0.017926553],"genre_scores_gemma":[0.9567262,0.00011199579,0.0060296357,0.0018108899,0.0002742116,0.00091063004,0.000030620053,0.000047662415,0.03405817],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99752045,0.00013576544,0.00023130249,0.00069250126,0.00055789814,0.00086208986],"domain_scores_gemma":[0.999,0.0004770111,0.000014953663,0.00032488897,0.000055166576,0.00012796273],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0010729218,0.00016675441,0.00018396486,0.00020359934,0.00059525,0.00020718334,0.0005350902,0.000079385165,0.00065022893],"category_scores_gemma":[0.00026630927,0.000117810865,0.00007400679,0.00060415076,0.00031780713,0.00017903054,0.0013415309,0.00029923828,0.0018364381],"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":[0.00011133679,0.000081090104,0.007808247,0.00042787645,0.000111207926,0.00007190571,0.009482623,0.0021381888,0.008055726,0.000036361598,0.94883627,0.022839155],"study_design_scores_gemma":[0.00019145713,0.00034008478,0.007270021,0.000052200736,0.000011906171,0.000001771971,0.00070920127,0.010128086,0.0102732945,0.00038191522,0.970432,0.00020809149],"about_ca_topic_score_codex":0.00023395104,"about_ca_topic_score_gemma":0.00049392297,"teacher_disagreement_score":0.022631064,"about_ca_system_score_codex":0.00017220418,"about_ca_system_score_gemma":0.000004739873,"threshold_uncertainty_score":0.99894077},"labels":[],"label_agreement":null},{"id":"W4402656220","doi":"10.1029/2024wr037122","title":"Improving Discharge Predictions in Ungauged Basins: Harnessing the Power of Disaggregated Data Modeling and Machine Learning","year":2024,"lang":"en","type":"article","venue":"Water Resources Research","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":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Prince Albert II of Monaco Foundation; Nuclear Safety and Security Commission; National Aeronautics and Space Administration","keywords":"Machine learning; Computer science; Environmental science; Artificial intelligence","score_opus":0.053342209630475965,"score_gpt":0.30340911779345914,"score_spread":0.25006690816298316,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402656220","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99360013,0.001220447,0.00082813,0.0027418556,0.000039548893,0.00022157133,0.000015509819,0.00004159228,0.0012912225],"genre_scores_gemma":[0.9986154,0.00016131651,0.000033776396,0.000017327695,0.000017794076,0.000017931114,0.000026135462,0.000014595979,0.0010957108],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99826896,0.00036323036,0.00019597761,0.0004143533,0.00034922682,0.00040822063],"domain_scores_gemma":[0.9995023,0.00010916035,0.000013897535,0.00033126117,0.0000064827527,0.00003688346],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024921573,0.000096643416,0.00011342983,0.00014268175,0.0005373819,0.00011919127,0.0004174785,0.00004367609,0.00018801236],"category_scores_gemma":[0.000089452005,0.00005178103,0.000016949074,0.00026990307,0.000482901,0.00034306795,0.0024056789,0.0005788268,0.000039550203],"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":[0.00044671673,0.00037198205,0.5371028,0.00080646167,0.0004288974,0.00020903007,0.18911965,0.16893576,0.062437966,0.00026897082,0.0011232296,0.038748525],"study_design_scores_gemma":[0.00015925437,0.000044528784,0.0021588705,0.00008136304,0.000011573591,0.0000030954288,0.0010504765,0.9812381,0.00036294054,0.00025112,0.0145543935,0.00008425149],"about_ca_topic_score_codex":0.0017978494,"about_ca_topic_score_gemma":0.00047381833,"teacher_disagreement_score":0.81230235,"about_ca_system_score_codex":0.00003786982,"about_ca_system_score_gemma":0.0000028774846,"threshold_uncertainty_score":0.41331616},"labels":[],"label_agreement":null},{"id":"W4403393847","doi":"10.1029/2024wr037717","title":"Comparing the Sources of Sediment Retained by Beaver Dams and Beaver Dam Analogs","year":2024,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Ecology and biodiversity studies","field":"Environmental Science","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":"Global Institute for Water Security; University of Saskatchewan","funders":"Natural Sciences and Engineering Research Council of Canada; Canada First Research Excellence Fund; Alberta Innovates","keywords":"Beaver; Sediment; Hydrology (agriculture); Environmental science; Geology; Geotechnical engineering; Geomorphology; Paleontology","score_opus":0.04237056655702382,"score_gpt":0.2888719527002127,"score_spread":0.2465013861431889,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403393847","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99138796,0.000740667,0.0000025956401,0.0028523237,0.000030481006,0.00016771429,0.000008917558,0.000020838297,0.0047884877],"genre_scores_gemma":[0.99392337,0.000081526654,0.000015706615,0.000074044365,0.000025033723,0.000006467317,0.0000061155683,0.0000053568556,0.005862372],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.998514,0.00019534079,0.00012920111,0.00030094603,0.00046961257,0.00039087416],"domain_scores_gemma":[0.9995671,0.00017328204,0.000012974972,0.00017562704,0.000011887208,0.000059160004],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001224981,0.00009385391,0.00013504799,0.000060396884,0.0005407002,0.00007455354,0.0003240883,0.00005927041,0.00039629312],"category_scores_gemma":[0.00001692803,0.000048639642,0.000037350437,0.00018052215,0.0014023572,0.00008332734,0.001310679,0.000296247,0.00027381475],"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":[0.000052246196,0.00004567768,0.92331064,0.000047662925,0.00010610226,0.000025558016,0.022735165,0.000047726062,0.0057109017,0.000020480935,0.047295112,0.0006027478],"study_design_scores_gemma":[0.00044635622,0.00037852794,0.305376,0.00005517784,0.000051300503,0.0000140538805,0.0067816814,0.0022725621,0.028042339,0.0004885688,0.6558311,0.00026231885],"about_ca_topic_score_codex":0.00084813597,"about_ca_topic_score_gemma":0.00009514584,"teacher_disagreement_score":0.61793464,"about_ca_system_score_codex":0.000055484623,"about_ca_system_score_gemma":0.0000021519218,"threshold_uncertainty_score":0.5167044},"labels":[],"label_agreement":null},{"id":"W4403806468","doi":"10.1029/2023wr036409","title":"A New Efficient Approach to Model Stiff Biogeochemical Reactive Transport Scenarios Across Groundwater Systems","year":2024,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Groundwater flow and contamination studies","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"National Natural Science Foundation of China","keywords":"Biogeochemical cycle; Groundwater; Environmental science; Groundwater model; Hydrology (agriculture); Geology; Groundwater flow; Geotechnical engineering; Aquifer","score_opus":0.04318707443808034,"score_gpt":0.3066356788553488,"score_spread":0.2634486044172685,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403806468","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95703053,0.00014998528,0.032911345,0.00060987094,0.00011446093,0.0007517463,0.000028050013,0.0001444487,0.008259571],"genre_scores_gemma":[0.94599956,0.0000031739714,0.00038828974,0.000041874733,0.0001341268,0.0002427801,0.000039207,0.00004209786,0.053108875],"study_design_codex":"qualitative","study_design_gemma":"not_applicable","domain_scores_codex":[0.9958072,0.00014022239,0.00033376174,0.0009673002,0.0015510764,0.0012004664],"domain_scores_gemma":[0.9990752,0.000055306096,0.000011966369,0.00042274734,0.00004898242,0.00038584607],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0013736184,0.0002626585,0.00026811933,0.00017120218,0.0004452022,0.0004909536,0.00058634474,0.00013228515,0.00018104198],"category_scores_gemma":[0.000011821981,0.00016606749,0.000111023,0.0005576286,0.00028553986,0.00017701178,0.0006791074,0.0004902658,0.0030248063],"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":[0.0006900129,0.0010456087,0.010216455,0.00052857463,0.00035330935,0.0002717595,0.43622002,0.21580155,0.27930173,0.0003085736,0.02974962,0.025512777],"study_design_scores_gemma":[0.00073508883,0.00025571336,0.0027039335,0.000177764,0.000036332895,0.00006737789,0.0061782873,0.32341817,0.03300364,0.00019208937,0.63235337,0.00087822974],"about_ca_topic_score_codex":0.004524421,"about_ca_topic_score_gemma":0.000070696755,"teacher_disagreement_score":0.6026038,"about_ca_system_score_codex":0.00047444605,"about_ca_system_score_gemma":0.000017341803,"threshold_uncertainty_score":0.9977515},"labels":[],"label_agreement":null},{"id":"W4403824609","doi":"10.1029/2023wr036287","title":"Groundwaterscapes: A Global Classification and Mapping of Groundwater's Large‐Scale Socioeconomic, Ecological, and Earth System Functions","year":2024,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Groundwater and Isotope Geochemistry","field":"Earth and Planetary Sciences","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":"Global Institute for Water Security; University of Saskatchewan; University of Victoria","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Scale (ratio); Groundwater; Earth (classical element); Socioeconomic status; Environmental science; Earth system science; Geography; Hydrology (agriculture); Ecology; Environmental resource management; Geology; Cartography; Mathematics; Biology; Sociology; Geotechnical engineering","score_opus":0.03281541248865308,"score_gpt":0.261895044061347,"score_spread":0.22907963157269393,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403824609","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.991351,0.0010962202,0.00013355605,0.00041433965,0.00012946685,0.00024203213,0.00009754602,0.000089173875,0.0064466526],"genre_scores_gemma":[0.9978285,0.00008450987,0.000100925965,0.000015337364,0.00013867041,0.000011437038,0.00013833892,0.0000060704056,0.0016762397],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9979946,0.00022797883,0.00031686926,0.00053871406,0.00030299035,0.00061886484],"domain_scores_gemma":[0.9994096,0.00011417989,0.000024297897,0.00020916805,0.000063382875,0.0001793453],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012670925,0.00016074449,0.00023103488,0.00015702687,0.0004492885,0.0006092485,0.00020031456,0.00014821792,0.00071237196],"category_scores_gemma":[0.000006992627,0.000104961895,0.000057424953,0.00015837092,0.0003911444,0.00028244822,0.000112148206,0.00027746905,0.00038993565],"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":[0.00025100494,0.00017110624,0.9091961,0.0041093784,0.00033755362,0.00011867529,0.027033895,0.0000764748,0.01661941,0.00042055812,0.0013758098,0.040290028],"study_design_scores_gemma":[0.00079255365,0.0006180477,0.71580434,0.00029076755,0.000049243696,0.00034458528,0.04574394,0.050148666,0.0020227775,0.0012725256,0.18233836,0.00057418784],"about_ca_topic_score_codex":0.0013571031,"about_ca_topic_score_gemma":0.0006744525,"teacher_disagreement_score":0.19339176,"about_ca_system_score_codex":0.000028777333,"about_ca_system_score_gemma":0.000021270376,"threshold_uncertainty_score":0.77999735},"labels":[],"label_agreement":null},{"id":"W4403993071","doi":"10.1029/2023wr037020","title":"The Potential of Hydrogeodesy to Address Water‐Related and Sustainability Challenges","year":2024,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Flood Risk Assessment and Management","field":"Environmental Science","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":"Environment and Climate Change Canada; Université Laval; University of Victoria","funders":"Swedish National Space Agency; Vetenskapsrådet; Japan Aerospace Exploration Agency; Centre National d’Etudes Spatiales; European Commission; National Aeronautics and Space Administration","keywords":"Sustainability; Environmental planning; Business; Environmental science; Environmental resource management; Water resource management","score_opus":0.020030355442184122,"score_gpt":0.31168864266700946,"score_spread":0.29165828722482534,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403993071","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97916174,0.001057114,0.000012836509,0.012009135,0.00006445934,0.0005997419,0.000001708608,0.000041192186,0.0070520546],"genre_scores_gemma":[0.99195695,0.00058869726,0.000014582246,0.000008037567,0.000026590766,0.00006974276,0.0000029274183,0.00001555504,0.007316888],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9976544,0.0003100447,0.00020287189,0.00041287398,0.0007663134,0.00065351074],"domain_scores_gemma":[0.9994087,0.00008047852,0.000007159435,0.0003542709,0.000027387838,0.00012195467],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027172002,0.00010786053,0.00010982757,0.00010700164,0.00035795197,0.00019790688,0.00041696866,0.00005196645,0.00038053314],"category_scores_gemma":[0.000024522533,0.000049867765,0.00004404966,0.00016477478,0.0005298997,0.00011073923,0.0016972213,0.00024337799,0.0002612786],"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":[0.00088583224,0.0006889907,0.0072720484,0.0021849514,0.0006603159,0.00063780864,0.16219658,0.014297618,0.1750669,0.0058539864,0.013426826,0.61682814],"study_design_scores_gemma":[0.00032398154,0.00049177144,0.009275796,0.000054136523,0.00002612241,0.000007791761,0.0070196516,0.0071817716,0.042810183,0.016780177,0.9157627,0.00026587732],"about_ca_topic_score_codex":0.0010211085,"about_ca_topic_score_gemma":0.00020883507,"teacher_disagreement_score":0.90233594,"about_ca_system_score_codex":0.000119838376,"about_ca_system_score_gemma":0.0000048928855,"threshold_uncertainty_score":0.4166571},"labels":[],"label_agreement":null},{"id":"W4404071208","doi":"10.1029/2023wr036427","title":"Longitudinal Fluvial Dispersion of Coarse Particles: Insights From Field Observations and Model Simulations","year":2024,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Sediment Transport Processes","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 British Columbia","funders":"","keywords":"Fluvial; Dispersion (optics); Field (mathematics); Environmental science; Longitudinal field; Geology; Geomorphology; Hydrology (agriculture); Statistical physics; Geotechnical engineering; Physics; Mathematics","score_opus":0.07314081714470169,"score_gpt":0.3146315056626744,"score_spread":0.2414906885179727,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404071208","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9975381,0.00023179516,0.0006338001,0.0009052638,0.000017598197,0.00009817943,0.000021155738,0.000023076716,0.000531017],"genre_scores_gemma":[0.9992772,0.000030983512,0.00021797114,0.00003414082,0.000023650025,0.000008207837,0.000023543013,0.00000646536,0.00037785145],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989656,0.00005587882,0.00014115094,0.00024705875,0.00039511974,0.00019517782],"domain_scores_gemma":[0.999578,0.00020188389,0.0000065565823,0.00012908429,0.000016809903,0.00006768996],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00018351505,0.00006256558,0.00007800346,0.000059106096,0.00021565457,0.000038500268,0.00013049562,0.00006465756,0.000987357],"category_scores_gemma":[0.00002575756,0.000042043554,0.000022140639,0.00016384308,0.00029462058,0.00022388615,0.00012293637,0.00018248273,0.000063943306],"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":[0.00029083973,0.00030052525,0.28638142,0.0001425247,0.00008779852,0.00006881838,0.059065875,0.19916132,0.44771802,0.0005979033,0.0015281737,0.004656776],"study_design_scores_gemma":[0.00020753361,0.00013377632,0.010377326,0.000050889197,0.000022350561,8.0510665e-7,0.00016146735,0.90506005,0.059520166,0.011760885,0.0125917075,0.00011302775],"about_ca_topic_score_codex":0.00059923326,"about_ca_topic_score_gemma":0.0004624154,"teacher_disagreement_score":0.70589876,"about_ca_system_score_codex":0.000020144742,"about_ca_system_score_gemma":0.000007769091,"threshold_uncertainty_score":0.99992585},"labels":[],"label_agreement":null},{"id":"W4404107793","doi":"10.1029/2023wr035210","title":"A New GRACE Downscaling Approach for Deriving High‐Resolution Groundwater Storage Changes Using Ground‐Based Scaling Factors","year":2024,"lang":"en","type":"article","venue":"Water Resources Research","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":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Global Institute for Water Security; University of Saskatchewan","funders":"","keywords":"Downscaling; Groundwater; Environmental science; Scaling; Resolution (logic); Hydrology (agriculture); Soil science; Geology; Computer science; Geotechnical engineering; Mathematics; Climate change; Artificial intelligence; Oceanography","score_opus":0.12710029414883064,"score_gpt":0.3070304886559134,"score_spread":0.17993019450708278,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404107793","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95433027,0.0006668095,0.04357243,0.0002456693,0.00031978113,0.0005967178,0.000054712425,0.00010158177,0.000112049194],"genre_scores_gemma":[0.9915023,0.000004384837,0.0067366376,0.000027034488,0.0005776001,0.0000094689985,0.00051321986,0.000026205955,0.00060317875],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99639237,0.0003146621,0.00024276235,0.0006860028,0.0011896365,0.0011745418],"domain_scores_gemma":[0.99906737,0.0002151276,0.000029005809,0.00028528276,0.0001249581,0.00027827476],"candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0021546138,0.00025743194,0.00025109985,0.0005039986,0.00090911676,0.0012765512,0.00040758506,0.00014155178,0.00026519748],"category_scores_gemma":[0.000036883834,0.00017237524,0.00013159757,0.0004710073,0.0001063796,0.0003179602,0.00006265797,0.0004495364,0.00005566559],"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":[0.0015500211,0.0005865143,0.18360662,0.0073930514,0.0009272003,0.00021723451,0.06499426,0.40386394,0.1821269,0.00032536188,0.002145059,0.15226385],"study_design_scores_gemma":[0.0009371762,0.0005583584,0.03770552,0.0003925049,0.000093325514,0.00001151948,0.0018741456,0.9026314,0.016850699,0.0024777148,0.035484258,0.0009833686],"about_ca_topic_score_codex":0.032294843,"about_ca_topic_score_gemma":0.0010951378,"teacher_disagreement_score":0.4987675,"about_ca_system_score_codex":0.00005753242,"about_ca_system_score_gemma":0.000060284543,"threshold_uncertainty_score":0.9997602},"labels":[],"label_agreement":null},{"id":"W4404115258","doi":"10.1029/2024wr037815","title":"Mechanistic Simulation of Salt‐Affected Soil‐Plant‐Atmosphere Continuum Dynamics in Seasonally Frozen Regions","year":2024,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"National Key Research and Development Program of China; China Scholarship Council; Dalhousie University; Ministry of Science and Technology of the People's Republic of China; National Natural Science Foundation of China","keywords":"Atmosphere (unit); Environmental science; Atmospheric sciences; Hydrology (agriculture); Soil science; Meteorology; Geology; Geotechnical engineering; Geography","score_opus":0.05563473580875584,"score_gpt":0.3069366256467208,"score_spread":0.251301889837965,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404115258","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9923377,0.00086144276,0.00006396092,0.0004702437,0.00014031732,0.00031091616,0.0018468197,0.0000503953,0.0039181854],"genre_scores_gemma":[0.9940331,0.0001253545,0.000015208812,0.000021214308,0.000141269,0.00000435678,0.0039192815,0.00001229771,0.0017279303],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.997803,0.00033872187,0.0002727048,0.0003535859,0.00063400686,0.0005979821],"domain_scores_gemma":[0.99888,0.0006474421,0.000022468119,0.00022474231,0.00009925402,0.00012609105],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0010270814,0.00014032323,0.00021991874,0.00015883152,0.000136986,0.00019448312,0.0002979071,0.00013368983,0.004515124],"category_scores_gemma":[0.00007146342,0.00009837849,0.00006511563,0.00056008645,0.00013469542,0.00013792704,0.000055927878,0.00041793776,0.00040325927],"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":[0.0012088736,0.00021172516,0.86807305,0.0022678208,0.00018175213,0.0015063727,0.024928302,0.06750473,0.011306674,0.0006722352,0.006035436,0.016103037],"study_design_scores_gemma":[0.0002833231,0.00019849668,0.038090788,0.0003049409,0.00001094071,0.000011264095,0.00075693935,0.9456921,0.0005686873,0.0019141486,0.011987129,0.00018124658],"about_ca_topic_score_codex":0.010175216,"about_ca_topic_score_gemma":0.22943586,"teacher_disagreement_score":0.87818736,"about_ca_system_score_codex":0.000035475285,"about_ca_system_score_gemma":0.000034782228,"threshold_uncertainty_score":0.9964161},"labels":[],"label_agreement":null},{"id":"W4404612995","doi":"10.1029/2023wr036511","title":"Combining a Multi‐Lake Model Ensemble and a Multi‐Domain CORDEX Climate Data Ensemble for Assessing Climate Change Impacts on Lake Sevan","year":2024,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Peatlands and Wetlands Ecology","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":"University of Lethbridge","funders":"Deutsche Forschungsgemeinschaft","keywords":"Climate change; Environmental science; Climate model; Climatology; Hydrology (agriculture); Physical geography; Geology; Geography; Oceanography","score_opus":0.1600061224735445,"score_gpt":0.3904603593574484,"score_spread":0.23045423688390387,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404612995","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99305785,0.0001837584,0.0011925792,0.00096720364,0.000094084935,0.00095165975,0.000501675,0.00012413961,0.0029270574],"genre_scores_gemma":[0.99423915,0.00032132163,0.003661741,0.00016875574,0.00011913853,0.00019682967,0.00049331173,0.000075889664,0.0007238541],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99600697,0.00027754207,0.0003315578,0.0010743743,0.0005633801,0.0017461583],"domain_scores_gemma":[0.99861526,0.00036036098,0.000040432067,0.00064227276,0.000023502855,0.00031814564],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003502697,0.00028523986,0.0003396024,0.00024277924,0.0008352018,0.0007402391,0.0006032319,0.0001799563,0.00015661737],"category_scores_gemma":[0.00008139268,0.00019835318,0.00006121449,0.00022754319,0.00030946665,0.000561048,0.0021829226,0.0005229252,0.00024177654],"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":[0.0034351945,0.0024384698,0.3624588,0.0037548072,0.00039628547,0.0020123608,0.08864278,0.0038934941,0.307819,0.00041794212,0.015106777,0.20962408],"study_design_scores_gemma":[0.002017491,0.0004431763,0.0093615735,0.0003156873,0.00002461594,0.00005326069,0.00065749144,0.9206633,0.0010263289,0.00037964713,0.06461339,0.00044404002],"about_ca_topic_score_codex":0.00019231522,"about_ca_topic_score_gemma":0.009728344,"teacher_disagreement_score":0.9167698,"about_ca_system_score_codex":0.0000944663,"about_ca_system_score_gemma":0.000014349372,"threshold_uncertainty_score":0.8088608},"labels":[],"label_agreement":null},{"id":"W4404938360","doi":"10.1029/2024wr037537","title":"A Novel Heat Pulse Method in Determining “Effective” Thermal Properties in Frozen Soil","year":2024,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":79,"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; Queen's University","funders":"Government of Shandong Province; National Natural Science Foundation of China","keywords":"Thermal; Materials science; Pulse (music); Environmental science; Soil science; Geotechnical engineering; Geology; Thermodynamics; Engineering; Physics; Electrical engineering","score_opus":0.1279252149295335,"score_gpt":0.3467167143886429,"score_spread":0.2187914994591094,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404938360","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99227357,0.0018356307,0.0000066174457,0.00054739736,0.00010263262,0.00040294672,0.00013136391,0.0000341428,0.0046656975],"genre_scores_gemma":[0.9986193,0.000057290625,0.00006588736,0.00006284794,0.00021168914,0.00003573299,0.00013839165,0.000013212434,0.0007956578],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9973622,0.0005534422,0.00024007261,0.00046372713,0.0005022846,0.00087829476],"domain_scores_gemma":[0.9992441,0.00041789946,0.0000057980938,0.0001943142,0.000029776347,0.000108096996],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002679208,0.00015881786,0.00021845287,0.00068338314,0.0001358277,0.00039125833,0.00032807892,0.00010859198,0.0030925265],"category_scores_gemma":[0.000049916336,0.00009456651,0.000052576233,0.000501898,0.00012910998,0.0002697201,0.00009931412,0.0006569046,0.0005428939],"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":[0.00032090125,0.000063614585,0.61432767,0.00038222666,0.000019782805,0.0006757126,0.06951851,0.0034866435,0.20935117,9.812942e-7,0.000057503203,0.1017953],"study_design_scores_gemma":[0.00096569635,0.0004711096,0.6766733,0.00097505504,0.0000059825106,0.00010556928,0.0039693364,0.25383574,0.03559336,0.00013634075,0.026728256,0.0005402739],"about_ca_topic_score_codex":0.05427365,"about_ca_topic_score_gemma":0.0654132,"teacher_disagreement_score":0.2503491,"about_ca_system_score_codex":0.000025700876,"about_ca_system_score_gemma":0.000024395404,"threshold_uncertainty_score":0.99781877},"labels":[],"label_agreement":null},{"id":"W4404997039","doi":"10.1029/2024wr037819","title":"CO <sub>2</sub> Trapping in Layered Porous Media by Effective Viscosification","year":2024,"lang":"en","type":"article","venue":"Water Resources Research","topic":"CO2 Sequestration and Geologic Interactions","field":"Environmental Science","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 Calgary","funders":"Shenzhen Graduate School, Peking University; National Natural Science Foundation of China; Lubrizol","keywords":"Porous medium; Saturation (graph theory); Brine; Materials science; Caprock; Dissolution; Homogeneous; Porosity; Permeability (electromagnetism); Relative permeability; Residual; Chemical engineering; Petroleum engineering; Geology; Composite material; Chemistry; Thermodynamics; Organic chemistry","score_opus":0.030121227967511034,"score_gpt":0.3256657354481464,"score_spread":0.2955445074806354,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404997039","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9787707,0.00009444152,0.00009189684,0.0020697895,0.00007256305,0.00038940037,0.000008321085,0.000069168455,0.01843374],"genre_scores_gemma":[0.99862164,0.00003780096,0.000009411027,0.000049039772,0.000051923726,0.00016765448,0.000054102355,0.000011877603,0.0009965623],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99812883,0.00039342823,0.00018613355,0.00038732484,0.00049047475,0.00041379366],"domain_scores_gemma":[0.99944973,0.00027176167,0.000011030497,0.00017138262,0.000014250905,0.00008186338],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0011065541,0.00009641135,0.00009065289,0.0001879112,0.00016412881,0.00017621442,0.0001924471,0.00008251416,0.0013249265],"category_scores_gemma":[0.00007342858,0.0000702034,0.000033922293,0.00038490313,0.0002219227,0.00020701268,0.000075178075,0.00048699835,0.003053137],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003477664,0.000065542765,0.0011266028,0.000013857132,0.000007729281,0.000044278073,0.010994491,0.00023461388,0.953964,0.00003103644,0.009108955,0.024374124],"study_design_scores_gemma":[0.00022304873,0.00013527412,0.014199018,0.00006127411,0.0000030533636,0.000021375288,0.0010031143,0.003899741,0.7895323,0.0009780154,0.1897501,0.00019368419],"about_ca_topic_score_codex":0.0005923736,"about_ca_topic_score_gemma":0.0006409076,"teacher_disagreement_score":0.18064116,"about_ca_system_score_codex":0.00027071615,"about_ca_system_score_gemma":0.0000065748895,"threshold_uncertainty_score":0.999588},"labels":[],"label_agreement":null},{"id":"W4405129143","doi":"10.1029/2024wr037437","title":"Evaluation of Sub‐Hourly MRMS Quantitative Precipitation Estimates in Mountainous Terrain Using Machine Learning","year":2024,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Soil Moisture and Remote Sensing","field":"Environmental Science","cited_by":4,"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 Institute of Food and Agriculture; Joint Fire Science Program","keywords":"Terrain; Precipitation; Environmental science; Meteorology; Climatology; Geology; Hydrology (agriculture); Geography; Geotechnical engineering; Cartography","score_opus":0.09095991871148468,"score_gpt":0.3880127425752216,"score_spread":0.29705282386373694,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405129143","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99447495,0.0006592458,0.00012777637,0.0001527274,0.000051582116,0.00033621036,0.0000010907723,0.00003032438,0.004166116],"genre_scores_gemma":[0.99892527,0.0000134214,0.0008600259,0.0000044783264,0.000028589906,0.0000042069883,0.000018413284,0.000024450803,0.00012113669],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.996438,0.0009900702,0.00025441963,0.00034315608,0.0015759127,0.000398391],"domain_scores_gemma":[0.9994427,0.0002704324,0.00002785658,0.00013448077,0.000076255455,0.000048255377],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0064548296,0.000113460854,0.00014144837,0.0003396234,0.00015540677,0.00011027424,0.00013977499,0.000075897944,0.00009914872],"category_scores_gemma":[0.0003684189,0.00007764185,0.00004087894,0.000530462,0.00026854826,0.00020857799,0.00016632387,0.00042540234,0.000120006065],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000082426275,0.00006185291,0.03867335,0.00007940988,0.000035994493,0.00003563814,0.082581885,0.13530646,0.67503583,0.000012463545,0.000018452713,0.06807622],"study_design_scores_gemma":[0.00022081152,0.0001915992,0.031738944,0.0001878308,0.000025326066,0.000011470875,0.0019021091,0.88925683,0.07395253,0.0018536837,0.0005371725,0.00012169911],"about_ca_topic_score_codex":0.014247307,"about_ca_topic_score_gemma":0.0051006856,"teacher_disagreement_score":0.75395036,"about_ca_system_score_codex":0.0004719748,"about_ca_system_score_gemma":0.000020326284,"threshold_uncertainty_score":0.9923169},"labels":[],"label_agreement":null},{"id":"W4405207909","doi":"10.1029/2024wr037310","title":"Mining and Climate Change Alters Water Storage and Streamflow Dynamics of Northern Peatland‐Dominated Catchments","year":2024,"lang":"en","type":"article","venue":"Water Resources Research","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 Waterloo","funders":"De Beers Group; Canada First Research Excellence Fund","keywords":"Peat; Streamflow; Environmental science; Climate change; Hydrology (agriculture); STREAMS; Water storage; Physical geography; Drainage basin; Geology; Geography; Oceanography","score_opus":0.02447944806900813,"score_gpt":0.28482740755525315,"score_spread":0.260347959486245,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405207909","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99714655,0.00016896045,0.000002873368,0.000795542,0.000045029075,0.00024129673,0.000030043271,0.000026000675,0.0015437213],"genre_scores_gemma":[0.998723,0.00022774225,0.000034211873,0.000016881751,0.00004700127,0.00003873597,0.00009629509,0.00002307476,0.0007931096],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99816823,0.00016019732,0.00019070142,0.00042701204,0.0003556576,0.0006981766],"domain_scores_gemma":[0.99958014,0.00006816091,0.000013771987,0.00018090356,0.000013484214,0.00014354213],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00089998776,0.00014529788,0.00019659477,0.00016310425,0.00019803968,0.000113547125,0.00017517919,0.00008958829,0.0003036339],"category_scores_gemma":[0.0000068221943,0.00008304005,0.000028513776,0.000111486115,0.000405929,0.0001420964,0.0007496024,0.00018352122,0.00005866029],"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":[0.00014512787,0.000054159544,0.9316964,0.00021795956,0.000045125573,0.00021932114,0.030823426,0.00002510485,0.011622422,0.0000054413335,0.00014794433,0.024997545],"study_design_scores_gemma":[0.0053347913,0.003568696,0.67884606,0.0008569384,0.00017690031,0.0003759175,0.009355848,0.1833408,0.033029363,0.0009386588,0.08224069,0.0019353529],"about_ca_topic_score_codex":0.001459224,"about_ca_topic_score_gemma":0.0036682254,"teacher_disagreement_score":0.25285038,"about_ca_system_score_codex":0.00009965633,"about_ca_system_score_gemma":0.0000021635985,"threshold_uncertainty_score":0.33862752},"labels":[],"label_agreement":null},{"id":"W4405381128","doi":"10.1029/2024wr037519","title":"Comparing Global Violations of Environmentally Critical Groundwater Discharge Thresholds","year":2024,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Groundwater and Isotope Geochemistry","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Global Institute for Water Security; University of Saskatchewan; University of Victoria","funders":"Wageningen University and Research; European Research Council; European Commission","keywords":"Groundwater; Environmental science; Hydrology (agriculture); Water resource management; Geotechnical engineering; Geology","score_opus":0.05173167824851811,"score_gpt":0.3138220902119723,"score_spread":0.26209041196345423,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405381128","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9658516,0.00078868656,0.00011013836,0.00047898252,0.00012795524,0.00012537422,0.000065955115,0.00004599251,0.032405283],"genre_scores_gemma":[0.99826497,0.000018688605,0.00009977649,0.000015637932,0.0001641887,0.000004051015,0.00017074625,0.0000059322874,0.0012560136],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9978134,0.0001413164,0.00026514512,0.00037899538,0.00072950294,0.0006716612],"domain_scores_gemma":[0.99941015,0.00011612208,0.000007228518,0.0002623007,0.000032468444,0.00017172571],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0007350834,0.0001345029,0.00016992912,0.00009917694,0.00025960934,0.00036938503,0.0003927998,0.00008311784,0.0060835914],"category_scores_gemma":[0.000016639497,0.00008483018,0.00008378367,0.00019614637,0.00047846866,0.00028490645,0.00012355381,0.00032061213,0.0012959655],"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":[0.000056935885,0.000060318587,0.9877646,0.00024383575,0.00004240938,0.00005784816,0.0020084619,0.00015698401,0.0068011465,0.00025962517,0.0004840845,0.0020637815],"study_design_scores_gemma":[0.00053140486,0.00055380765,0.7436126,0.00034858254,0.000048432194,0.00021338288,0.001684082,0.027259527,0.040829536,0.013459169,0.17072278,0.000736703],"about_ca_topic_score_codex":0.0020804403,"about_ca_topic_score_gemma":0.00033269773,"teacher_disagreement_score":0.24415198,"about_ca_system_score_codex":0.000020630228,"about_ca_system_score_gemma":0.000014507791,"threshold_uncertainty_score":0.9994816},"labels":[],"label_agreement":null},{"id":"W4405474350","doi":"10.1029/2023wr036769","title":"Groundwater Responses to Deluge and Drought in the Fraser Valley, Pacific Northwest","year":2024,"lang":"en","type":"article","venue":"Water Resources Research","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":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada; Pacific Institute for Climate Solutions","keywords":"Groundwater; Hydrology (agriculture); Geology; Oceanography; Geotechnical engineering","score_opus":0.03156986903250385,"score_gpt":0.29998610181157875,"score_spread":0.2684162327790749,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405474350","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96903133,0.0001713793,0.000010782851,0.016464455,0.000045642995,0.0003850817,0.0000028199645,0.000035072007,0.013853425],"genre_scores_gemma":[0.9867198,0.00008231951,0.000030744068,0.00041942473,0.000055124416,0.00014919681,0.000005302391,0.000015310752,0.012522818],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9975371,0.0005907646,0.00016290274,0.0004878071,0.00054245844,0.0006789996],"domain_scores_gemma":[0.9993729,0.00023739271,0.0000045294883,0.0003065034,0.0000060775596,0.000072623705],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002682197,0.0001346117,0.00011556413,0.00023539232,0.00041989316,0.00027453824,0.0004292973,0.00006103728,0.00066573126],"category_scores_gemma":[0.000027953733,0.00006764663,0.00002991173,0.0004143584,0.0005055054,0.00016882275,0.00097163033,0.0003791526,0.0025443195],"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":[0.00067527586,0.00025525715,0.75142455,0.00015027726,0.00010298716,0.0018021349,0.19127673,0.00033609814,0.0026243047,0.000274587,0.043839302,0.0072384775],"study_design_scores_gemma":[0.00014760935,0.0001997356,0.08662196,0.00002379784,0.0000062258446,0.000008266453,0.0023282783,0.0001315931,0.0004657076,0.0014203188,0.9085032,0.00014335054],"about_ca_topic_score_codex":0.0018442888,"about_ca_topic_score_gemma":0.002352386,"teacher_disagreement_score":0.86466384,"about_ca_system_score_codex":0.00006031975,"about_ca_system_score_gemma":0.0000018840958,"threshold_uncertainty_score":0.9982323},"labels":[],"label_agreement":null},{"id":"W4406050808","doi":"10.1029/2024wr037721","title":"Improved Correction of Extreme Precipitation Through Explicit and Continuous Nonstationarity Treatment and the Metastatistical Approach","year":2025,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Climate variability and models","field":"Environmental Science","cited_by":12,"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 Calgary","funders":"Environment and Climate Change Canada; Canada Research Chairs","keywords":"Precipitation; Climatology; Environmental science; Econometrics; Mathematics; Geology; Meteorology; Geography","score_opus":0.06570451300945213,"score_gpt":0.32241841958402995,"score_spread":0.2567139065745778,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406050808","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9782597,0.00007031853,0.008428164,0.00058911473,0.000027820923,0.0007257,0.000012605358,0.00001006445,0.011876543],"genre_scores_gemma":[0.996229,0.00007846608,0.001715258,0.000019475227,0.0000071870577,0.00014211984,0.000014904988,0.0000040940213,0.0017895175],"study_design_codex":"qualitative","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99869627,0.00044371275,0.00018170856,0.00027225775,0.00020648658,0.00019954093],"domain_scores_gemma":[0.99915355,0.0005972563,0.000021532152,0.00016769409,0.000028325107,0.000031651143],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011755506,0.00007646492,0.00015114249,0.000038059603,0.00024659553,0.000057323137,0.00008195574,0.00004245124,0.00008645817],"category_scores_gemma":[0.00013064688,0.000040988423,0.000022369624,0.00012504826,0.00081556727,0.00009790852,0.0001982352,0.00010963279,0.000003722969],"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":[0.009499314,0.0033558528,0.075614244,0.00068491825,0.0006002315,0.0000059068097,0.40466538,0.0064542135,0.19743341,0.04886819,0.0020586017,0.25075972],"study_design_scores_gemma":[0.008551389,0.0010376987,0.031323254,0.000062111685,0.00018196419,0.000016647433,0.0134374695,0.82996786,0.02760305,0.06040284,0.02702857,0.00038714547],"about_ca_topic_score_codex":0.0044409055,"about_ca_topic_score_gemma":0.00015574587,"teacher_disagreement_score":0.8235136,"about_ca_system_score_codex":0.00007327737,"about_ca_system_score_gemma":0.0000054936854,"threshold_uncertainty_score":0.67133504},"labels":[],"label_agreement":null},{"id":"W4406192048","doi":"10.1029/2024wr037068","title":"A Fully Coupled Numerical Solution of Water, Vapor, Heat, and Water Stable Isotope Transport in Soil","year":2025,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Soil and Unsaturated Flow","field":"Engineering","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":"University of Saskatchewan","funders":"China Scholarship Council","keywords":"Environmental science; Isotope; Water vapor; Soil water; Stable isotope ratio; Hydrology (agriculture); Soil science; Geotechnical engineering; Chemistry; Geology; Physics","score_opus":0.019432468402082185,"score_gpt":0.2604361465319932,"score_spread":0.24100367812991103,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406192048","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9958917,0.0004888971,0.00023123338,0.00047493857,0.0000837032,0.0002694854,0.000005790731,0.0000884364,0.0024658493],"genre_scores_gemma":[0.9972745,0.0001231329,0.000037466696,0.000016188756,0.000035949284,0.00006224772,0.000051097908,0.000028480626,0.002370935],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99792314,0.000107341075,0.00036758024,0.00029354743,0.00039437503,0.000913991],"domain_scores_gemma":[0.9995069,0.000035241897,0.0000037866907,0.00025795778,0.00009938046,0.00009671565],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008463301,0.00017278962,0.00031519905,0.00048429024,0.00010956252,0.000049134575,0.00021777969,0.00017428155,0.00015270572],"category_scores_gemma":[0.0000070647834,0.00009957492,0.000049600138,0.0002796161,0.00013305269,0.00011876108,0.00009879198,0.0005273411,0.000039780465],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006546855,0.00017176138,0.014073059,0.00089665194,0.00012640942,0.00011409701,0.015635647,0.019055659,0.9459346,0.000018428716,0.00054347474,0.0027755417],"study_design_scores_gemma":[0.0015584083,0.00013646108,0.0045166933,0.0001537449,0.000014593698,0.00000760911,0.00035435427,0.11939471,0.83843493,0.0002941378,0.034863647,0.0002707039],"about_ca_topic_score_codex":0.002536066,"about_ca_topic_score_gemma":0.00019416389,"teacher_disagreement_score":0.10749965,"about_ca_system_score_codex":0.00007697721,"about_ca_system_score_gemma":0.000013120113,"threshold_uncertainty_score":0.40605474},"labels":[],"label_agreement":null},{"id":"W4406247080","doi":"10.1029/2024wr038231","title":"The Influences of Evaporation and Aquitard on Groundwater Dynamics and Solute Transport in a Tidal Flat With a Slope Break","year":2025,"lang":"en","type":"article","venue":"Water Resources Research","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":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"Shenzhen Science and Technology Innovation Program; Shenzhen Municipal Science and Technology Innovation Council; Basic and Applied Basic Research Foundation of Guangdong Province; Southern University of Science and Technology; National Natural Science Foundation of China","keywords":"Aquifer; Groundwater; Intertidal zone; Groundwater discharge; Outflow; Groundwater flow; Geology; Hydrology (agriculture); Groundwater model; Salinity; Biogeochemical cycle; Inflow; Environmental science; Oceanography; Geotechnical engineering; Ecology","score_opus":0.01462677323900016,"score_gpt":0.253771144403056,"score_spread":0.23914437116405582,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406247080","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9936253,0.00024551305,0.0000062496433,0.00080015097,0.000016016233,0.0002121091,0.0000104065975,0.000007177632,0.0050770864],"genre_scores_gemma":[0.9978044,0.00008648866,0.000021670461,0.000026453477,0.000014606973,0.000005930347,0.000043145395,0.0000026631194,0.0019946203],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986594,0.000121736906,0.00019602192,0.0002599129,0.00037869398,0.00038427682],"domain_scores_gemma":[0.9995776,0.00012556174,0.000017522989,0.0001688155,0.000054107102,0.00005642932],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009695822,0.00010530202,0.00013817802,0.00014912293,0.00027570073,0.00014267034,0.00019823435,0.00006241617,0.000041566396],"category_scores_gemma":[0.000009249114,0.00005094562,0.00001497608,0.0002075789,0.0004890803,0.00013751164,0.000032861637,0.00024903528,0.000005487371],"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":[0.00069868047,0.000014557568,0.9781247,0.000117215546,0.000025344307,0.000019787125,0.0033140562,0.00018759983,0.0006956901,0.00004242415,0.000020264486,0.016739711],"study_design_scores_gemma":[0.0006704988,0.00047579122,0.9795173,0.00014823339,0.0000096221,0.000015307667,0.0016674448,0.004861268,0.005867258,0.0013164175,0.0052993405,0.00015152775],"about_ca_topic_score_codex":0.005844032,"about_ca_topic_score_gemma":0.026963742,"teacher_disagreement_score":0.021119712,"about_ca_system_score_codex":0.000008467095,"about_ca_system_score_gemma":0.000023805285,"threshold_uncertainty_score":0.9907916},"labels":[],"label_agreement":null},{"id":"W4406919512","doi":"10.1029/2024wr037953","title":"A Fluid Flow‐Based Deep Learning (FFDL) Architecture for Subsurface Flow Systems With Application to Geologic CO <sub>2</sub> Storage","year":2025,"lang":"en","type":"article","venue":"Water Resources Research","topic":"CO2 Sequestration and Geologic Interactions","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":"Energi Simulation; University of Southern California","keywords":"Flow (mathematics); Petroleum engineering; Geology; Architecture; Subsurface flow; Hydrology (agriculture); Environmental science; Geotechnical engineering; Groundwater; Mechanics; Geography","score_opus":0.016474214082848455,"score_gpt":0.2905043170249895,"score_spread":0.2740301029421411,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406919512","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.83325434,0.00003488569,0.15781322,0.002483461,0.000050659546,0.0016392975,0.000011092626,0.00011874875,0.0045943046],"genre_scores_gemma":[0.9936099,0.000003228598,0.0013820883,0.0002051252,0.000048014805,0.00091929734,0.000102817176,0.000017372166,0.0037121698],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.997561,0.0004341711,0.00023227316,0.0005857981,0.00054279674,0.0006439734],"domain_scores_gemma":[0.9990756,0.000266978,0.00003377116,0.00038598332,0.00009016091,0.00014748827],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011340474,0.0001771381,0.00018222934,0.00022649165,0.0007208805,0.00018604242,0.0003826466,0.00012221796,0.00021361279],"category_scores_gemma":[0.000117330164,0.000119228775,0.000056127392,0.0004927101,0.00022558669,0.000075516786,0.000166846,0.00050315616,0.0005970287],"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":[0.00032171252,0.000058834285,0.002890586,0.000042165466,0.000014308999,0.0000064235005,0.0014803807,0.7958957,0.19187364,0.00001386255,0.00097353384,0.0064288406],"study_design_scores_gemma":[0.00057552784,0.00062064454,0.002250706,0.000052661584,0.000012152539,0.000010685914,0.00071394694,0.49950522,0.09117538,0.0001627975,0.40465394,0.0002663428],"about_ca_topic_score_codex":0.00037142768,"about_ca_topic_score_gemma":0.0009408457,"teacher_disagreement_score":0.4036804,"about_ca_system_score_codex":0.00025594895,"about_ca_system_score_gemma":0.000018983495,"threshold_uncertainty_score":0.7673796},"labels":[],"label_agreement":null},{"id":"W4407139715","doi":"10.1029/2024wr038514","title":"Probabilistic Trade‐Offs Analysis for Sustainable and Equitable Management of Climate‐Induced Water Risks","year":2025,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Water resources management and optimization","field":"Engineering","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 Laval","funders":"European Regional Development Fund; Ministerio de Ciencia, Innovación y Universidades; Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria","keywords":"Probabilistic logic; Risk analysis (engineering); Climate change; Business; Environmental resource management; Natural resource economics; Environmental planning; Environmental science; Environmental economics; Water resource management; Computer science; Economics; Artificial intelligence","score_opus":0.04625762768328302,"score_gpt":0.3140858576568071,"score_spread":0.26782822997352407,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407139715","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9676706,0.00027020604,0.0022777398,0.00025735318,0.00003361627,0.0016083951,0.000007460961,0.00013938353,0.02773524],"genre_scores_gemma":[0.9913967,0.00017456208,0.00034017483,0.000007958762,0.000024641902,0.00031477294,0.00009030063,0.00003506142,0.007615789],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99754363,0.00009773277,0.00037914372,0.00038018887,0.00036622657,0.0012330775],"domain_scores_gemma":[0.99933153,0.000058548343,0.000016314672,0.0003997272,0.000117395226,0.000076478114],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016155714,0.00019192357,0.00033699212,0.001147531,0.00031493712,0.00026722706,0.0003456755,0.00009636965,0.00006233219],"category_scores_gemma":[0.000010786095,0.00013092966,0.00010718892,0.00081656995,0.00009305232,0.00016284469,0.0005520024,0.00016709557,0.000007952882],"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":[0.0009014351,0.00041737073,0.011313286,0.03503112,0.007728627,0.000107501284,0.017551221,0.8916702,0.008743589,0.010903772,0.0022895336,0.013342299],"study_design_scores_gemma":[0.004894416,0.00059906836,0.0118351225,0.0004262027,0.0025346195,0.0000014575774,0.012584067,0.5581561,0.12958902,0.0089752795,0.26909357,0.0013111137],"about_ca_topic_score_codex":0.00009481807,"about_ca_topic_score_gemma":0.000013018509,"teacher_disagreement_score":0.33351418,"about_ca_system_score_codex":0.0000993942,"about_ca_system_score_gemma":0.000002603456,"threshold_uncertainty_score":0.5339157},"labels":[],"label_agreement":null},{"id":"W4407755625","doi":"10.1029/2024wr037767","title":"Using Water Level Responses to Atmospheric Pressure Variations to Measure and Monitor Vertical Leakage Through Confining Units, With Application to the Jurassic Shaximiao Crust, China","year":2025,"lang":"en","type":"article","venue":"Water Resources Research","topic":"earthquake and tectonic studies","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Fundamental Research Funds for the Central Universities; National Natural Science Foundation of China; Canadian Institute for Advanced Research","keywords":"China; Leakage (economics); Environmental science; Measure (data warehouse); Geology; Crust; Atmospheric pressure; Hydrology (agriculture); Geotechnical engineering; Geophysics; Geography; Oceanography","score_opus":0.09314575296459754,"score_gpt":0.3186628773885992,"score_spread":0.22551712442400168,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407755625","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98276514,0.0004342278,0.004538012,0.009023356,0.00005199455,0.00093852356,0.00004980907,0.000043022614,0.0021558967],"genre_scores_gemma":[0.9955764,0.000008592381,0.0016165659,0.0005161186,0.000108022876,0.000050458402,0.000011732445,0.000009623984,0.002102506],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9975029,0.00043005132,0.00020660063,0.00048942905,0.00065252016,0.00071846304],"domain_scores_gemma":[0.99885726,0.00031284176,0.000008180102,0.00040925003,0.00023878925,0.00017368859],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0010777831,0.00017921213,0.00020887188,0.00008668937,0.001439619,0.0003360034,0.00040054196,0.00007595804,0.00016668646],"category_scores_gemma":[0.00020604122,0.00008733228,0.000021935251,0.0008912964,0.00016360127,0.00012125678,0.00019600158,0.00035122168,0.00017827746],"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":[0.006270245,0.00014611856,0.55918705,0.00031274048,0.0009832502,0.00006852651,0.19831899,0.08196633,0.019876426,0.0006146832,0.0058475565,0.12640809],"study_design_scores_gemma":[0.0003718785,0.0004551941,0.6910044,0.00013218875,0.00005949644,0.0000097273705,0.0020854434,0.0063599306,0.0064296895,0.00015208556,0.29266077,0.00027915929],"about_ca_topic_score_codex":0.0077140005,"about_ca_topic_score_gemma":0.0028919317,"teacher_disagreement_score":0.28681323,"about_ca_system_score_codex":0.000013410439,"about_ca_system_score_gemma":0.000056518347,"threshold_uncertainty_score":0.99986035},"labels":[],"label_agreement":null},{"id":"W4407798162","doi":"10.1029/2024wr038088","title":"Convergent and Transdisciplinary Integration: On the Future of Integrated Modeling of Human‐Water Systems","year":2025,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Water-Energy-Food Nexus Studies","field":"Environmental Science","cited_by":36,"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 Manitoba; University of Calgary; Université du Québec à Montréal; Environment and Climate Change Canada; University of Waterloo; Global Institute for Water Security; Western University; Water Security Agency; University of Saskatchewan","funders":"Canada First Research Excellence Fund","keywords":"Environmental science","score_opus":0.046233109529415624,"score_gpt":0.30214086100699084,"score_spread":0.2559077514775752,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407798162","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9748759,0.0003667959,0.00008499953,0.0022159151,0.00007938926,0.00029496252,0.000014963593,0.000013980426,0.022053065],"genre_scores_gemma":[0.9964363,0.000026390784,0.000009860281,0.000022118267,0.00003681669,0.000060679242,0.000011944202,0.000011784283,0.0033841298],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9979348,0.00040496513,0.00035756064,0.00031677767,0.0006103147,0.00037558447],"domain_scores_gemma":[0.9994479,0.00006446699,0.000023760416,0.00035069126,0.000067550536,0.000045661873],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010947059,0.00015054567,0.0002387475,0.00015681016,0.00040377225,0.00003669869,0.00040772237,0.00008375553,0.00026020524],"category_scores_gemma":[0.000007867171,0.00006473127,0.00005334879,0.00023683916,0.0006047001,0.000065275395,0.0005496908,0.00029161994,0.000018355902],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008675063,0.00047260322,0.0026422157,0.00049166975,0.0003351842,0.000022060376,0.12434869,0.019321844,0.8225004,0.023204936,0.0038357682,0.001957135],"study_design_scores_gemma":[0.00081822195,0.00095043395,0.00074621016,0.0005780267,0.00003928767,0.0000048061547,0.061094202,0.062184192,0.8330549,0.02566167,0.0145317335,0.0003363037],"about_ca_topic_score_codex":0.0012471892,"about_ca_topic_score_gemma":0.00026048144,"teacher_disagreement_score":0.06325449,"about_ca_system_score_codex":0.00008714167,"about_ca_system_score_gemma":0.0000048411293,"threshold_uncertainty_score":0.31055304},"labels":[],"label_agreement":null},{"id":"W4408317922","doi":"10.1029/2024wr038057","title":"Rising Temperatures Drive Lower Summer Minimum Flows Across Hydrologically Diverse Catchments in British Columbia","year":2025,"lang":"en","type":"article","venue":"Water Resources Research","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":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Victoria","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Hydrology (agriculture); Environmental science; Climatology; Meteorology; Geography; Physical geography; Geology; Geotechnical engineering","score_opus":0.022629485250938476,"score_gpt":0.3075706992576696,"score_spread":0.2849412140067311,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408317922","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.987555,0.00007501338,0.0000039294823,0.0010828411,0.00013953302,0.00049326284,0.000010076584,0.00004223622,0.010598062],"genre_scores_gemma":[0.96884805,0.00007280111,0.00004390523,0.0005686121,0.000032819426,0.0000946064,0.000012191325,0.000011733786,0.03031526],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99669224,0.00044400452,0.00029238762,0.0007400838,0.0005839676,0.0012473149],"domain_scores_gemma":[0.9994251,0.00009332187,0.000021375066,0.00034329624,0.000022592489,0.00009431042],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0015451562,0.00014598723,0.000260328,0.000089089524,0.0010999949,0.0004684998,0.00066630734,0.00016417801,0.0016549935],"category_scores_gemma":[0.000073213945,0.00014895681,0.00006988398,0.00045436117,0.00093257433,0.00018572943,0.0026744262,0.000611437,0.0006674101],"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":[0.00009377153,0.00023321612,0.9638,0.000021054017,0.00005697405,0.00059735164,0.0048367986,0.0005873227,0.0029694359,5.7128534e-7,0.025633475,0.0011700306],"study_design_scores_gemma":[0.0017689518,0.00026010664,0.7625778,0.00011401644,0.00001697715,0.0000061892906,0.0026188178,0.0004797011,0.0008891837,0.0014310131,0.2294028,0.00043447793],"about_ca_topic_score_codex":0.042667896,"about_ca_topic_score_gemma":0.12431698,"teacher_disagreement_score":0.20376933,"about_ca_system_score_codex":0.00019240672,"about_ca_system_score_gemma":0.000004007382,"threshold_uncertainty_score":0.9992576},"labels":[],"label_agreement":null},{"id":"W4408549997","doi":"10.1029/2024wr037398","title":"On Robustness of the Explanatory Power of Machine Learning Models: Insights From a New Explainable AI Approach Using Sensitivity Analysis","year":2025,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Explainable Artificial Intelligence (XAI)","field":"Computer Science","cited_by":23,"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 Sciences and Engineering Research Council of Canada; Suncor Energy Incorporated","keywords":"Robustness (evolution); Explanatory power; Sensitivity (control systems); Machine learning; Artificial intelligence; Computer science; Engineering; Epistemology; Chemistry","score_opus":0.08346191017698525,"score_gpt":0.318397046788249,"score_spread":0.23493513661126375,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408549997","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6273084,0.00019375274,0.37056112,0.000210089,0.00004697049,0.0002051876,0.0000028085024,0.000028131679,0.0014434761],"genre_scores_gemma":[0.99634135,0.0000063120137,0.0023401533,0.00004902894,0.000026103737,0.00000955315,0.0000052772157,0.000014214955,0.0012080303],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9949241,0.002059482,0.0004769122,0.00069551007,0.0012399434,0.0006040537],"domain_scores_gemma":[0.9973028,0.00068075507,0.00011274612,0.0013205607,0.0004700684,0.00011311582],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020953226,0.00020473538,0.00047167696,0.0012115645,0.0004966727,0.00018617019,0.0014524354,0.00013678521,0.00002459437],"category_scores_gemma":[0.00024133592,0.0001307695,0.00022256537,0.0030895288,0.00028917773,0.00047406778,0.0014352781,0.00078738853,0.000005059561],"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":[0.00009253478,0.0001655516,0.00074805476,0.000042195836,0.00024624087,0.000014326985,0.017843325,0.9630841,0.010506647,0.006650103,0.000062982275,0.0005439594],"study_design_scores_gemma":[0.000106619096,0.000044537326,0.00010682701,0.000070634516,0.000030906827,7.8849104e-7,0.0013630497,0.84284306,0.14687918,0.008143902,0.0002931069,0.00011738057],"about_ca_topic_score_codex":0.015634554,"about_ca_topic_score_gemma":0.00041993542,"teacher_disagreement_score":0.3690329,"about_ca_system_score_codex":0.00014866874,"about_ca_system_score_gemma":0.00014490321,"threshold_uncertainty_score":0.9909204},"labels":[],"label_agreement":null},{"id":"W4408744481","doi":"10.1029/2024wr038560","title":"Cycles in Hydrologic Intensification and De‐Intensification Create Instabilities in Spring Nitrate‐N Export C‐Q Relationships in Northern Temperate Forests","year":2025,"lang":"en","type":"article","venue":"Water Resources Research","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":false,"ca_institutions":"Canadian Forest Service; The Scarborough Hospital; Natural Resources Canada; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Temperate climate; Spring (device); Temperate forest; Environmental science; Nitrate; Temperate rainforest; Hydrology (agriculture); Atmospheric sciences; Climatology; Ecosystem; Ecology; Geology; Engineering; Biology; Geotechnical engineering","score_opus":0.04130802744441028,"score_gpt":0.27987671295211086,"score_spread":0.23856868550770058,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408744481","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99601126,0.00006247233,0.000018562772,0.0008541035,0.000011943834,0.00037965152,0.0000020625057,0.000020861056,0.0026390844],"genre_scores_gemma":[0.9992636,0.000079962876,0.000066187305,0.000021778736,0.00000424721,0.00011232584,0.000020791163,0.000010232456,0.0004209092],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99799687,0.00049798744,0.00039464884,0.0004055829,0.0002386675,0.0004662521],"domain_scores_gemma":[0.99949646,0.00014012399,0.000027483677,0.0002547057,0.000029933415,0.00005128765],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024910772,0.00011927482,0.00015253085,0.0006024426,0.00014292689,0.00008898176,0.00019903955,0.00013816042,0.000015416479],"category_scores_gemma":[0.00017999271,0.00009589751,0.000018466906,0.0006076361,0.00028974048,0.00021992659,0.00021056752,0.00060694135,0.000035092307],"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":[0.000058421527,0.000049686267,0.96894896,0.000014203537,0.0000024903682,0.000015636717,0.006062974,0.015947761,0.008359296,0.00011226141,0.0000015385344,0.0004267969],"study_design_scores_gemma":[0.00026837504,0.000018566621,0.91407835,0.00006725005,0.0000014317604,0.000004108394,0.0014294545,0.078225166,0.00084869546,0.0047906465,0.0001715898,0.000096377546],"about_ca_topic_score_codex":0.0077035553,"about_ca_topic_score_gemma":0.09880237,"teacher_disagreement_score":0.091098815,"about_ca_system_score_codex":0.000455995,"about_ca_system_score_gemma":0.00001599618,"threshold_uncertainty_score":0.9989042},"labels":[],"label_agreement":null},{"id":"W4408755701","doi":"10.1029/2024wr037179","title":"Searching for Functional Simplicity of Stormflow Generation","year":2025,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Meteorological Phenomena and Simulations","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 British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Simplicity; Computer science; Environmental science; Hydrology (agriculture); Geology; Geotechnical engineering; Philosophy","score_opus":0.1507233515622315,"score_gpt":0.3435552623108357,"score_spread":0.19283191074860423,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408755701","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98499626,0.00009101291,0.0028570087,0.00053495134,0.00007411057,0.00028545927,0.000029103474,0.000012970356,0.011119119],"genre_scores_gemma":[0.99703515,0.0000035953003,0.00038155698,0.00006671706,0.00014086739,0.000006903936,0.00016726476,0.0000014980275,0.0021964284],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99872965,0.00023467033,0.00017394841,0.00019415804,0.00035179855,0.0003157779],"domain_scores_gemma":[0.9991258,0.00049996295,0.000013239028,0.00013933236,0.00016180002,0.000059864644],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0014691168,0.000055160617,0.000104722596,0.00022475068,0.0004419133,0.000055649205,0.00016376842,0.000050475704,0.0011166389],"category_scores_gemma":[0.00015662619,0.000034056397,0.000048040754,0.00020529458,0.00012193699,0.00007123688,0.000028734528,0.00015576342,0.000035862296],"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":[0.0009860841,0.00014712613,0.355346,0.0002661044,0.00014091228,0.0000026109014,0.003302597,0.400582,0.0701032,0.0060594007,0.004659598,0.15840438],"study_design_scores_gemma":[0.0008244821,0.0004983084,0.37083298,0.000016765678,0.000011494428,6.681551e-7,0.00023315677,0.41950783,0.012581208,0.033754785,0.16156729,0.00017104705],"about_ca_topic_score_codex":0.00061855046,"about_ca_topic_score_gemma":0.0003584741,"teacher_disagreement_score":0.15823334,"about_ca_system_score_codex":0.000006416611,"about_ca_system_score_gemma":0.00002105076,"threshold_uncertainty_score":0.99979645},"labels":[],"label_agreement":null},{"id":"W4408788964","doi":"10.1029/2024wr038715","title":"A Unified Model for the Soil Freezing Characteristic Curve Based on Pore Size Distribution and Principles of Thermodynamics","year":2025,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","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 Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Thermodynamics; Distribution (mathematics); Soil science; Statistical physics; Geology; Environmental science; Mathematics; Physics; Mathematical analysis","score_opus":0.08979117068128326,"score_gpt":0.3092911590300373,"score_spread":0.21949998834875403,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408788964","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9924803,0.00011942094,0.0006920271,0.0013965702,0.000035417484,0.00038635515,0.0037399505,0.000010213743,0.0011397522],"genre_scores_gemma":[0.99667805,0.0000710774,0.000013211318,0.00007940996,0.00003858787,0.000012158157,0.002126462,0.0000037507155,0.0009772746],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988977,0.00011851476,0.00016357597,0.00020310616,0.00027722525,0.00033991673],"domain_scores_gemma":[0.99839014,0.0012045121,0.000028272725,0.00023109942,0.00009872129,0.00004722901],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011148779,0.00009176242,0.00012785822,0.00005875785,0.00037301405,0.00009905703,0.00024216653,0.00006258145,0.00016208265],"category_scores_gemma":[0.00015519348,0.00004912146,0.000041868905,0.00013773705,0.00020458145,0.000039350674,0.000042844153,0.00017832434,0.000003958572],"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":[0.0073106647,0.00031911695,0.7036912,0.0025910325,0.00022378893,0.000033167027,0.023952419,0.18378249,0.027785975,0.001795476,0.001034082,0.047480594],"study_design_scores_gemma":[0.00024734702,0.000082230996,0.078387566,0.00006290057,0.000008490715,4.609812e-7,0.00024409797,0.9160355,0.0006093791,0.00041250474,0.003850362,0.00005916581],"about_ca_topic_score_codex":0.0015670126,"about_ca_topic_score_gemma":0.0038907698,"teacher_disagreement_score":0.732253,"about_ca_system_score_codex":0.0000085678175,"about_ca_system_score_gemma":0.000027018383,"threshold_uncertainty_score":0.28689602},"labels":[],"label_agreement":null},{"id":"W4409183374","doi":"10.1029/2024wr037859","title":"Streamflow Response to Glacier Mass Loss Varies With Basin Precipitation Across Alaska","year":2025,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":4,"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":"Oak Ridge Institute for Science and Education; Oak Ridge Associated Universities; U.S. Geological Survey; U.S. Department of Energy","keywords":"Streamflow; Precipitation; Glacier; Climatology; Structural basin; Environmental science; Geology; Drainage basin; Hydrology (agriculture); Meteorology; Geomorphology; Geography; Cartography","score_opus":0.03020843956933592,"score_gpt":0.3049892757951643,"score_spread":0.2747808362258284,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409183374","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99056756,0.00016543994,0.0004133535,0.0066238777,0.00009848165,0.0004116738,0.000085981614,0.000045473993,0.0015881809],"genre_scores_gemma":[0.9735543,0.0000224905,0.0012546561,0.00028823383,0.00007309193,0.000024173527,0.000051695384,0.000006432257,0.024724895],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9974609,0.00042755352,0.00020614806,0.00041729948,0.0006828061,0.00080526393],"domain_scores_gemma":[0.9984946,0.00070796156,0.000017485652,0.00035607678,0.00027692827,0.00014691004],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017843847,0.00014579641,0.00017972641,0.00012323954,0.0010321208,0.00039155118,0.00037473484,0.0000663423,0.0008479484],"category_scores_gemma":[0.00023510087,0.00008906958,0.00003820697,0.0009669325,0.0003075029,0.00015864355,0.00008928689,0.0002458628,0.0003850354],"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":[0.0038638888,0.000031013435,0.95242953,0.00004218802,0.000076788,0.000040365252,0.021625256,0.005962169,0.00031565747,0.000016024263,0.0022140671,0.013383065],"study_design_scores_gemma":[0.00027261963,0.00025248082,0.6744759,0.000033620516,0.0000043244695,0.0000012881546,0.003946936,0.00036546894,0.0007127697,0.00020418182,0.31962675,0.00010363685],"about_ca_topic_score_codex":0.0026310945,"about_ca_topic_score_gemma":0.0046577207,"teacher_disagreement_score":0.31741267,"about_ca_system_score_codex":0.00002436109,"about_ca_system_score_gemma":0.00005314461,"threshold_uncertainty_score":0.928444},"labels":[],"label_agreement":null},{"id":"W4409293543","doi":"10.1029/2024wr038147","title":"Operational Interval Extraction Based on Long‐Short Term Memory Networks for Building More Feasible Reservoir Operation Models","year":2025,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Reservoir Engineering and Simulation Methods","field":"Engineering","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":"McGill University","funders":"National Science Fund for Distinguished Young Scholars; Wuhan University","keywords":"Interval (graph theory); Extraction (chemistry); Long short term memory; Term (time); Computer science; Petroleum engineering; Reliability engineering; Environmental science; Artificial neural network; Engineering; Mathematics; Artificial intelligence; Recurrent neural network","score_opus":0.07417596199475741,"score_gpt":0.39044672873963143,"score_spread":0.31627076674487403,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409293543","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.45314592,0.00014953886,0.5433715,0.00036191914,0.00023862602,0.0005604326,0.000006412356,0.00019189186,0.0019737727],"genre_scores_gemma":[0.987207,0.000018564491,0.009153444,0.000048186244,0.00027900466,0.00039302532,0.00014054152,0.00006516299,0.00269506],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.997745,0.00024465605,0.00038532293,0.0004087536,0.0005998573,0.0006164349],"domain_scores_gemma":[0.99871254,0.00043958897,0.0000095024725,0.00046873666,0.0002701878,0.00009945363],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021884092,0.00022521817,0.00023546742,0.0007154927,0.00041315643,0.0004176889,0.0003882783,0.00021560478,0.000056502624],"category_scores_gemma":[0.0001072409,0.00018669902,0.000113757895,0.0003449709,0.000057265082,0.00036151838,0.00008629191,0.0006411201,0.000006962714],"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":[0.0001822874,0.000034475823,0.00024888368,0.00017039392,0.000036725796,0.000004345282,0.00030120643,0.98732215,0.008270727,0.00010820652,0.0008764019,0.0024441676],"study_design_scores_gemma":[0.00057427405,0.000069148184,0.00054428895,0.00015600548,0.0000074865557,0.0000012057506,0.00005105359,0.96347,0.030448616,0.00017206371,0.004319511,0.00018639298],"about_ca_topic_score_codex":0.000024757592,"about_ca_topic_score_gemma":0.000008159571,"teacher_disagreement_score":0.534218,"about_ca_system_score_codex":0.00027995207,"about_ca_system_score_gemma":0.000027955717,"threshold_uncertainty_score":0.7613365},"labels":[],"label_agreement":null},{"id":"W4409376299","doi":"10.1029/2024wr038928","title":"High‐Resolution National‐Scale Water Modeling Is Enhanced by Multiscale Differentiable Physics‐Informed Machine Learning","year":2025,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":31,"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","funders":"National Oceanic and Atmospheric Administration; California Natural Resources Agency; U.S. Department of Energy","keywords":"Differentiable function; Scale (ratio); Resolution (logic); Computer science; Statistical physics; Artificial intelligence; Physics; Mathematics; Mathematical analysis; Quantum mechanics","score_opus":0.021713327175078533,"score_gpt":0.287324520350829,"score_spread":0.2656111931757505,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409376299","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9700575,0.00004981066,0.005615188,0.0024981943,0.00005639314,0.00034045288,0.000009139223,0.00007968535,0.02129366],"genre_scores_gemma":[0.9201847,0.00007153291,0.00014604113,0.00023533095,0.00003941209,0.00011066302,0.00012762044,0.00001576804,0.07906898],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9972709,0.00021453657,0.00026561125,0.0005145099,0.000816029,0.0009184368],"domain_scores_gemma":[0.99958956,0.000055524906,0.000019580975,0.00021802138,0.0000465254,0.00007076489],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0008206095,0.00019193527,0.00020926715,0.00013733478,0.0011969432,0.00009897354,0.00040151927,0.00010878857,0.0016925605],"category_scores_gemma":[0.000026190964,0.00012172973,0.00006630878,0.00020797852,0.00033468995,0.000260542,0.0013053949,0.00049620715,0.001559893],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006148789,0.0006495211,0.031254575,0.00026621576,0.00041822557,0.0000054175694,0.03529546,0.40574536,0.46333373,0.000088063556,0.05779967,0.004528884],"study_design_scores_gemma":[0.0012784958,0.00010745789,0.00046867214,0.00004411835,0.000023790126,3.070089e-7,0.00035667428,0.34717667,0.50900275,0.005381757,0.13581127,0.00034805285],"about_ca_topic_score_codex":0.0017711531,"about_ca_topic_score_gemma":0.00013999335,"teacher_disagreement_score":0.0780116,"about_ca_system_score_codex":0.00022875669,"about_ca_system_score_gemma":0.0000034958057,"threshold_uncertainty_score":0.99922},"labels":[],"label_agreement":null},{"id":"W4409396488","doi":"10.1029/2024wr038386","title":"Methods for Predicting Bubble Size Distribution in Turbulent Flow","year":2025,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Fluid Dynamics and Mixing","field":"Engineering","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":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Bubble; Turbulence; Mechanics; Flow (mathematics); Environmental science; Statistical physics; Physics","score_opus":0.023826611941902186,"score_gpt":0.35545918145945365,"score_spread":0.3316325695175515,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409396488","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8608682,0.000825669,0.13383318,0.00054856227,0.00020311752,0.0006427334,0.000025754225,0.00016279746,0.0028899743],"genre_scores_gemma":[0.98153734,0.000056101795,0.015119274,0.00001569534,0.00009722382,0.00027694157,0.00007863337,0.000032932727,0.0027858433],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99868363,0.00013400581,0.0002177738,0.00020555695,0.00016337179,0.0005956416],"domain_scores_gemma":[0.9992323,0.00043604092,0.0000046071673,0.00019864789,0.00007802871,0.000050356935],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022701176,0.00009565262,0.00014163234,0.00013171058,0.00013585268,0.00010308102,0.00020891472,0.00009129717,0.000018369166],"category_scores_gemma":[0.0002535579,0.0000768309,0.000048417955,0.00029434005,0.00003600596,0.000054209937,0.00012216311,0.00032508097,0.000007299939],"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":[0.00033363423,0.00017898246,0.0057604616,0.0024695946,0.00023899025,0.000035472323,0.012706094,0.4052135,0.32925937,0.0018982673,0.009476239,0.23242939],"study_design_scores_gemma":[0.0003415557,0.00002338008,0.00052219484,0.00009074171,0.000003075246,8.823323e-7,0.00011731119,0.8317043,0.026300507,0.0013150782,0.1394996,0.00008133734],"about_ca_topic_score_codex":0.00009647551,"about_ca_topic_score_gemma":0.000030564446,"teacher_disagreement_score":0.4264908,"about_ca_system_score_codex":0.00022086322,"about_ca_system_score_gemma":0.000010018101,"threshold_uncertainty_score":0.31330732},"labels":[],"label_agreement":null},{"id":"W4409783506","doi":"10.1029/2024wr039086","title":"Physically Based Dimensionless Features for Pluvial Flood Mapping With Machine Learning","year":2025,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Flood Risk Assessment and Management","field":"Environmental Science","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Stantec (Canada)","funders":"Water Research Foundation","keywords":"Pluvial; Dimensionless quantity; Flood myth; Environmental science; Hydrology (agriculture); Geology; Geotechnical engineering; Mechanics; Geography; Physics","score_opus":0.01939376415884294,"score_gpt":0.2965982720567518,"score_spread":0.2772045078979089,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409783506","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97242993,0.000057478148,0.0044309837,0.0029363658,0.0000539741,0.0010663858,0.000004084759,0.000097076525,0.018923698],"genre_scores_gemma":[0.9705087,0.0000066519206,0.0031695866,0.00017361954,0.00005891072,0.00019069415,0.000039305924,0.000023248283,0.025829282],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.99781656,0.00020383253,0.00014079214,0.00046762748,0.00071496953,0.0006562228],"domain_scores_gemma":[0.99946076,0.00013393234,0.000021237887,0.00027452395,0.000029208835,0.00008031205],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00088203896,0.00015339481,0.00016477754,0.00017686644,0.00068759016,0.00016519683,0.00040346378,0.00005009989,0.0002853609],"category_scores_gemma":[0.000025473446,0.00009227141,0.00005920294,0.00035211223,0.00022508219,0.00009626403,0.00059085526,0.00037940874,0.000098687015],"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":[0.0065415916,0.0025352512,0.18468224,0.0012669762,0.0007995778,0.00019970363,0.017625434,0.1636728,0.4295052,0.0017043488,0.066454,0.12501286],"study_design_scores_gemma":[0.0028369753,0.0006440487,0.025134291,0.00014894268,0.00003621118,8.8474445e-7,0.00070094666,0.05270323,0.04568789,0.0006342946,0.871087,0.00038528588],"about_ca_topic_score_codex":0.000743165,"about_ca_topic_score_gemma":0.00035690682,"teacher_disagreement_score":0.804633,"about_ca_system_score_codex":0.000107568165,"about_ca_system_score_gemma":0.000010099623,"threshold_uncertainty_score":0.5288457},"labels":[],"label_agreement":null},{"id":"W4409829981","doi":"10.1029/2024wr039078","title":"Freeze‐Up Ice Jams and Channel Hydraulics Cause Hazardous Open Water Zones Within Winter Ice Cover on the Kuskokwim and Yukon Rivers and Their Tributaries","year":2025,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"National Aeronautics and Space Administration; National Science Foundation","keywords":"Tributary; Hydrology (agriculture); Hydraulics; Environmental science; Geology; Channel (broadcasting); Geotechnical engineering; Engineering; Geography","score_opus":0.08580452182794182,"score_gpt":0.3019336503459898,"score_spread":0.21612912851804797,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409829981","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98279226,0.0008367604,0.0000029145035,0.0103271445,0.00014334358,0.0006037964,0.0005758992,0.000018542609,0.004699342],"genre_scores_gemma":[0.98996687,0.0006459841,0.000004139752,0.0012396311,0.0001050087,0.000013065176,0.00033268417,0.0000105037125,0.0076821367],"study_design_codex":"qualitative","study_design_gemma":"not_applicable","domain_scores_codex":[0.99775916,0.00044637878,0.00021593715,0.0005265414,0.0003505468,0.00070141675],"domain_scores_gemma":[0.9987585,0.0006054304,0.000025831418,0.0003575852,0.00008508641,0.00016757131],"candidate_categories":["scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001710846,0.0002489811,0.00028239036,0.0001964233,0.0010244267,0.0012519736,0.0005427082,0.00013101571,0.0009969061],"category_scores_gemma":[0.000056885707,0.0001101255,0.000031813386,0.0001596014,0.00081646245,0.00029771338,0.0005809128,0.0004880615,0.00014186757],"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":[0.007138868,0.00018253259,0.27719152,0.0007474566,0.0007425975,0.0003109398,0.65321976,0.0005589872,0.008652142,0.00023202552,0.03177513,0.01924803],"study_design_scores_gemma":[0.004486379,0.0020099876,0.12693217,0.00072525593,0.00011119289,0.00017138822,0.046765786,0.017300839,0.069091044,0.011711485,0.71930397,0.0013904817],"about_ca_topic_score_codex":0.016700167,"about_ca_topic_score_gemma":0.025001198,"teacher_disagreement_score":0.68752885,"about_ca_system_score_codex":0.000009378316,"about_ca_system_score_gemma":0.000015204905,"threshold_uncertainty_score":0.9999163},"labels":[],"label_agreement":null},{"id":"W4410058228","doi":"10.1029/2024wr039042","title":"One‐Hundred Fundamental, Open Questions to Integrate Methodological Approaches in Lake Ice Research","year":2025,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Arctic and Antarctic ice dynamics","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":false,"ca_institutions":"Trent University; University of Waterloo; York University","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; ArcticNet; National Science Foundation","keywords":"Limnology; Temporal scales; Field (mathematics); Lake ecosystem; Process (computing); Data science; Climate change; Environmental resource management; Remote sensing; Environmental science; Computer science; Ecology; Geography; Ecosystem","score_opus":0.46053712189053936,"score_gpt":0.4460412093621024,"score_spread":0.01449591252843696,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410058228","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91514367,0.000102186925,0.00037146194,0.012039916,0.00009725723,0.0012645795,0.00006717476,0.000037743528,0.07087604],"genre_scores_gemma":[0.98211575,0.000063641535,0.006385969,0.0003237535,0.00008131931,0.00006198003,0.00014072048,0.000008205009,0.010818685],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99224824,0.0041344366,0.0004099922,0.0007836361,0.0010255238,0.0013981663],"domain_scores_gemma":[0.9971417,0.0018205307,0.000019929837,0.0005311777,0.00019296222,0.0002936775],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.015427378,0.00016009824,0.00037119776,0.0010379266,0.00093261973,0.0007742192,0.0019357019,0.00017916686,0.0017114031],"category_scores_gemma":[0.0009095593,0.00012111057,0.00005660541,0.0018206396,0.00071018765,0.00026227185,0.0009831692,0.0015653656,0.0010378552],"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":[0.0028431856,0.00083962624,0.53218865,0.0003270272,0.00018775948,0.00020579762,0.03052549,0.00449295,0.0010839918,0.0064431285,0.0033925413,0.41746986],"study_design_scores_gemma":[0.001049585,0.0009459539,0.58403707,0.00047448455,0.000014654231,0.0000134284855,0.022806894,0.010242736,0.00076856103,0.0392826,0.33983,0.00053402927],"about_ca_topic_score_codex":0.016801922,"about_ca_topic_score_gemma":0.051665355,"teacher_disagreement_score":0.41693583,"about_ca_system_score_codex":0.00006549812,"about_ca_system_score_gemma":0.0001279288,"threshold_uncertainty_score":0.99973994},"labels":[],"label_agreement":null},{"id":"W4410134343","doi":"10.1029/2024wr039331","title":"River Thermal Dynamics and Heatwaves of Polish Rivers Under Climate Change","year":2025,"lang":"en","type":"article","venue":"Water Resources Research","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":"United Nations University Institute for Water, Environment, and Health","funders":"","keywords":"Environmental science; Climate change; Hydrology (agriculture); Climatology; Physical geography; Geology; Geography; Oceanography; Geotechnical engineering","score_opus":0.031360464327089214,"score_gpt":0.29853606366630264,"score_spread":0.2671755993392134,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410134343","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9629176,0.000085658496,0.000011232991,0.0030337246,0.000028923307,0.00021470564,0.000008187332,0.000016541144,0.033683397],"genre_scores_gemma":[0.99709654,0.00019790494,0.000041246636,0.00024296675,0.00001537922,0.000022250633,0.0000042370675,0.000006371158,0.0023730812],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987142,0.00016327608,0.00011769186,0.0002539734,0.0002567042,0.0004941308],"domain_scores_gemma":[0.9996976,0.000052583222,0.000013321,0.0001833919,0.000010292319,0.000042771102],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00060554565,0.00009029845,0.0001293534,0.00014848213,0.00031937865,0.000022507329,0.00022734216,0.00006126286,0.00023761131],"category_scores_gemma":[0.000008008284,0.000061139355,0.00002708311,0.0001690042,0.0014159081,0.000117804186,0.0014586556,0.00015962143,0.00008293455],"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":[0.0002424816,0.00013355995,0.95116013,0.00017005278,0.00017845003,0.000017762579,0.02792015,0.00044251143,0.0023500763,0.003289256,0.0011661248,0.012929424],"study_design_scores_gemma":[0.00082842034,0.00036287832,0.95695084,0.000070536844,0.000040935134,0.0000014678916,0.0031558333,0.0030055777,0.006581384,0.01059682,0.018123124,0.00028218652],"about_ca_topic_score_codex":0.0009024948,"about_ca_topic_score_gemma":0.00026192487,"teacher_disagreement_score":0.03417893,"about_ca_system_score_codex":0.00006092414,"about_ca_system_score_gemma":9.1974e-7,"threshold_uncertainty_score":0.5216972},"labels":[],"label_agreement":null},{"id":"W4410215345","doi":"10.1029/2024wr038889","title":"An Analytical Method for Estimating Hydraulic Parameters of a Nonlinear Consolidated Aquitard Considering Secondary Consolidation","year":2025,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Soil and Unsaturated Flow","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":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; Chengdu University; State Key Laboratory of Geohazard Prevention and Geoenvironment Protection; Chengdu University of Technology; China Scholarship Council; University of Waterloo; National Natural Science Foundation of China","keywords":"Consolidation (business); Nonlinear system; Geotechnical engineering; Aquifer; Geology; Physics; Accounting; Groundwater","score_opus":0.05133421747657021,"score_gpt":0.36531320328046935,"score_spread":0.31397898580389916,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410215345","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95778006,0.00010979789,0.03790125,0.00021469746,0.00014429628,0.0004974949,0.00004019593,0.0002112263,0.0031009782],"genre_scores_gemma":[0.8580255,0.0000056406857,0.14143808,0.00005825903,0.00006545349,0.000080888065,0.000121811834,0.000041250078,0.0001631209],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9980212,0.00025567375,0.00046563364,0.00032649195,0.0002987159,0.00063231686],"domain_scores_gemma":[0.9984764,0.00074796827,0.000023767023,0.00037782313,0.00024446845,0.00012959488],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013334508,0.00017826982,0.0003628048,0.0005891626,0.0001688781,0.00013803247,0.00028922857,0.000174257,0.000050429877],"category_scores_gemma":[0.00024256439,0.00014563202,0.00008542484,0.0004455677,0.00020926066,0.00014882366,0.00008134898,0.0005158338,0.000011964209],"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":[0.0009864201,0.00029031368,0.0014009698,0.0034179639,0.0014721797,0.00007301708,0.014958395,0.3878645,0.3732508,0.00042756164,0.0053511537,0.2105067],"study_design_scores_gemma":[0.0005505695,0.00008978188,0.00004781815,0.00009325401,0.000026943753,0.0000054776533,0.0004910539,0.7815893,0.2109612,0.00039817046,0.0056154765,0.00013095794],"about_ca_topic_score_codex":0.00013428043,"about_ca_topic_score_gemma":0.000018362505,"teacher_disagreement_score":0.3937248,"about_ca_system_score_codex":0.00006249792,"about_ca_system_score_gemma":0.000047551835,"threshold_uncertainty_score":0.5938701},"labels":[],"label_agreement":null},{"id":"W4410762344","doi":"10.1029/2024wr038615","title":"Exploring the Physics of Two Thermodynamic Lake Ice Models","year":2025,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Arctic and Antarctic ice dynamics","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":"Wilfrid Laurier University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Statistical physics; Geology; Physics; Environmental science","score_opus":0.10522434562179096,"score_gpt":0.2995936132280663,"score_spread":0.19436926760627538,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410762344","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95874625,0.00006526217,0.0012672504,0.00079292915,0.00010009883,0.00018412955,0.000023969043,0.000021379585,0.038798746],"genre_scores_gemma":[0.9973203,0.00010681375,0.00012938975,0.000075250755,0.00009214163,0.0000061370247,0.00002995,0.0000048194443,0.0022351772],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998201,0.0002859824,0.00019639122,0.00022902813,0.00056586624,0.0005217433],"domain_scores_gemma":[0.9990556,0.00037822066,0.00002315366,0.00037823373,0.00011237297,0.000052380947],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011737553,0.000106066436,0.00014754258,0.00010977247,0.00044551637,0.000072896146,0.00063974963,0.000027372405,0.00026159798],"category_scores_gemma":[0.00002241233,0.00005482941,0.000067564215,0.0003951747,0.00040937788,0.00024319529,0.000116190284,0.0004122275,0.0000888589],"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":[0.00063323206,0.00019171015,0.1792693,0.0005710721,0.00041158762,0.000051030333,0.06971834,0.2579062,0.0021671809,0.017044505,0.000341468,0.47169438],"study_design_scores_gemma":[0.00063759595,0.00014234504,0.04261285,0.00016619988,0.00003302652,0.000006181789,0.005609981,0.83627945,0.001402362,0.09513107,0.017702134,0.00027677725],"about_ca_topic_score_codex":0.003289366,"about_ca_topic_score_gemma":0.0017776262,"teacher_disagreement_score":0.57837325,"about_ca_system_score_codex":0.000006514051,"about_ca_system_score_gemma":0.000030476378,"threshold_uncertainty_score":0.49725592},"labels":[],"label_agreement":null},{"id":"W4410918797","doi":"10.1029/2024wr038520","title":"An Analytical Method for Fast Optimization of Multireservoir Hydropower Systems Operations Considering Risk‐Return Tradeoffs","year":2025,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Water resources management and optimization","field":"Engineering","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":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Hydropower; Computer science; Mathematical optimization; Environmental science; Hydrology (agriculture); Engineering; Mathematics; Geotechnical engineering","score_opus":0.03875266458110619,"score_gpt":0.34257448414707536,"score_spread":0.30382181956596915,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410918797","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.25592688,0.00019023984,0.73917836,0.00016701558,0.00014768043,0.0012251752,0.000039784398,0.00021334419,0.0029115463],"genre_scores_gemma":[0.96777236,0.000048828377,0.0295569,0.000009166104,0.00010590798,0.00019007761,0.00016867842,0.0000630693,0.0020850338],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9977108,0.00041734832,0.0005111335,0.00036621164,0.00043075116,0.00056371966],"domain_scores_gemma":[0.9989216,0.00018430427,0.000024449111,0.0004851826,0.00027248802,0.00011202],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015468741,0.00019850011,0.00031771004,0.0008271527,0.00032974523,0.00036610343,0.00043076076,0.00015069018,0.00006109747],"category_scores_gemma":[0.000094276234,0.0001575632,0.00008947811,0.0005121324,0.000118896205,0.00027253598,0.00011964114,0.00030882985,0.0000062172935],"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":[0.000055264718,0.000053490534,0.00072482094,0.00033294025,0.00013240371,0.0000016407104,0.002610792,0.99237496,0.002615874,0.00017603152,0.00039507914,0.0005266769],"study_design_scores_gemma":[0.0005940813,0.00008672512,0.00006160396,0.00007567431,0.000045815224,6.8624706e-7,0.0008466383,0.97640073,0.0099507915,0.000042142026,0.011728876,0.00016622628],"about_ca_topic_score_codex":0.00032105003,"about_ca_topic_score_gemma":0.000052563748,"teacher_disagreement_score":0.71184546,"about_ca_system_score_codex":0.0000932196,"about_ca_system_score_gemma":0.000011346386,"threshold_uncertainty_score":0.6425241},"labels":[],"label_agreement":null},{"id":"W4411499908","doi":"10.1029/2024wr038732","title":"Variability in the Shape of the Active Length–Streamflow Relationship in Temporary Streams: Insights From an Empirical Analysis","year":2025,"lang":"en","type":"article","venue":"Water Resources Research","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":"Université Laval","funders":"HORIZON EUROPE Excellent Science; Horizon 2020 Framework Programme","keywords":"Streamflow; STREAMS; Environmental science; Sensitivity (control systems); Hydrology (agriculture); Power law; Exponential function; Scale (ratio); Drainage basin; Geology; Mathematics; Statistics; Computer science; Geography; Cartography","score_opus":0.04609717076490299,"score_gpt":0.3435974551497404,"score_spread":0.2975002843848374,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411499908","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98074347,0.000016594398,0.000008262823,0.0046467087,0.000013067824,0.00034666708,0.000006462918,0.0000068899817,0.01421185],"genre_scores_gemma":[0.99942476,0.000005222516,0.000016374634,0.0001530459,0.000009291934,0.000059024,0.00001694426,0.000003369034,0.00031197068],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99505275,0.0034834344,0.0002747961,0.00041129233,0.00048015497,0.0002975772],"domain_scores_gemma":[0.99834234,0.0009700915,0.000027624186,0.0006235042,0.000011030273,0.000025398676],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023371174,0.000102082864,0.0001914545,0.00027826423,0.0002927512,0.000027508973,0.0007983237,0.00010083475,0.00026917606],"category_scores_gemma":[0.00021867832,0.00004822077,0.000068463785,0.001763578,0.00074733887,0.00015968659,0.0008102454,0.00055057555,0.000025298048],"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":[0.00008676368,0.00023669377,0.97422767,0.000005082315,0.000071910334,0.0000054782995,0.02267567,0.0017648343,0.00008471258,0.000029402181,0.00011961881,0.00069219136],"study_design_scores_gemma":[0.0001890677,0.000028327397,0.97839254,0.000008478253,0.00003216906,4.0866883e-8,0.0024320025,0.0047055404,0.000470646,0.012132781,0.0015561157,0.00005227171],"about_ca_topic_score_codex":0.0074619823,"about_ca_topic_score_gemma":0.0084625725,"teacher_disagreement_score":0.020243669,"about_ca_system_score_codex":0.00012016842,"about_ca_system_score_gemma":0.000007646302,"threshold_uncertainty_score":0.9991474},"labels":[],"label_agreement":null},{"id":"W4411968845","doi":"10.1029/2024wr038105","title":"Hierarchical Deep Learning for Consistent Multi‐Timescale Hydrological Forecasting","year":2025,"lang":"en","type":"article","venue":"Water Resources Research","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":false,"ca_institutions":"McGill University; University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; University of Waterloo","keywords":"Environmental science; Meteorology; Climatology; Artificial intelligence; Geology; Hydrology (agriculture); Computer science; Geography; Geotechnical engineering","score_opus":0.06496823278185448,"score_gpt":0.3183306177663645,"score_spread":0.25336238498451,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411968845","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9640672,0.00007898671,0.002665044,0.0040488034,0.00005997915,0.00065803475,9.688774e-7,0.00008054251,0.028340416],"genre_scores_gemma":[0.9725377,0.000013892145,0.0010627306,0.00026869285,0.000037675207,0.00023299373,0.000010423023,0.00001194999,0.02582394],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99746335,0.00042471717,0.00024038572,0.00054567563,0.00035091589,0.00097498595],"domain_scores_gemma":[0.99923354,0.00042347575,0.000019300738,0.00020699814,0.000022144512,0.000094561],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001981557,0.00014846731,0.00021114702,0.00015593722,0.0012696345,0.00006763454,0.00040080716,0.00012777692,0.00057441206],"category_scores_gemma":[0.0003205119,0.00009659982,0.00009711338,0.0002160621,0.0009955091,0.00006627167,0.001503327,0.000568292,0.00038337283],"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":[0.0023249101,0.0011320154,0.757369,0.0004203,0.0006541867,0.0002543179,0.030334229,0.0736995,0.018294303,0.00070321496,0.013512924,0.10130111],"study_design_scores_gemma":[0.0023088274,0.0006933948,0.020830782,0.000052291616,0.00004738121,0.000008278538,0.0011155152,0.21127938,0.005896086,0.006863251,0.75048214,0.00042267327],"about_ca_topic_score_codex":0.00009615643,"about_ca_topic_score_gemma":0.0000623908,"teacher_disagreement_score":0.73696923,"about_ca_system_score_codex":0.00009118291,"about_ca_system_score_gemma":0.000002267904,"threshold_uncertainty_score":0.976513},"labels":[],"label_agreement":null},{"id":"W4412119554","doi":"10.1029/2024wr039756","title":"Hydrophobic Interactions Drive the Attachment of a Model Nanoplastic on Porous Media Surfaces","year":2025,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Microplastics and Plastic Pollution","field":"Environmental Science","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":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Porous medium; Materials science; Porosity; Geotechnical engineering; Composite material; Geology","score_opus":0.031513553677230015,"score_gpt":0.30905133604916246,"score_spread":0.27753778237193244,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412119554","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9859153,0.00003056218,0.0005417764,0.0006762941,0.00013587296,0.00021764304,0.000026171245,0.000012538045,0.012443814],"genre_scores_gemma":[0.9942099,0.000029278048,0.00006650114,0.00004832381,0.000018408406,0.000025048324,0.0000070279307,0.000008367134,0.0055871853],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9982372,0.00019909204,0.00022650018,0.00027837552,0.00063756097,0.000421275],"domain_scores_gemma":[0.9988882,0.00067389326,0.00003224591,0.0003134309,0.000025053772,0.000067197216],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00065162743,0.00011365025,0.00012670715,0.00014220962,0.00035150527,0.000050767252,0.00040804857,0.000048331105,0.0007598213],"category_scores_gemma":[0.00008986235,0.000061865314,0.000043480853,0.00028894073,0.0004706513,0.000045429562,0.00033942264,0.00035534095,0.0005715104],"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":[0.00042305933,0.00040516446,0.004256109,0.0000468743,0.00007562794,0.000015771893,0.014388322,0.39791912,0.5658735,0.00060692703,0.013534935,0.0024546017],"study_design_scores_gemma":[0.0010725382,0.0005014853,0.015294706,0.00032303346,0.00006089169,0.00001164463,0.0012036248,0.5706081,0.28235516,0.0071023223,0.12103999,0.00042655092],"about_ca_topic_score_codex":0.000541708,"about_ca_topic_score_gemma":0.0003644424,"teacher_disagreement_score":0.2835183,"about_ca_system_score_codex":0.00015721112,"about_ca_system_score_gemma":0.000015221095,"threshold_uncertainty_score":0.8319511},"labels":[],"label_agreement":null},{"id":"W4412421314","doi":"10.1029/2024wr037569","title":"Small‐Scale Riverbank Erosion Experiments in Freezing and Thawing Conditions","year":2025,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Soil erosion and sediment transport","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":"Saint Mary's University","funders":"Maa- ja Vesitekniikan Tuki Ry; Emil Aaltosen Säätiö; Academy of Finland; British Society for Geomorphology","keywords":"Erosion; Scale (ratio); Hydrology (agriculture); Environmental science; Geology; Geotechnical engineering; Soil science; Geomorphology; Geography","score_opus":0.08441902481593676,"score_gpt":0.3195183125671415,"score_spread":0.23509928775120476,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412421314","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99393374,0.00015569905,7.9220837e-7,0.0016095149,0.00003671477,0.00019318982,0.0000060372645,0.00003204632,0.0040322524],"genre_scores_gemma":[0.99784875,0.000037037255,0.000013942509,0.00013024159,0.000031867556,0.00003923951,0.000036832767,7.798513e-7,0.001861287],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9987854,0.0001366332,0.00015456934,0.00028372576,0.00025897042,0.0003806954],"domain_scores_gemma":[0.9997098,0.00011636189,0.000007734239,0.000055025008,0.00003648686,0.00007461503],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004766109,0.00008190453,0.00011070741,0.000069408896,0.0003887203,0.000099473196,0.00019460206,0.00007660947,0.00022848955],"category_scores_gemma":[0.000009550646,0.000029777311,0.00003182514,0.0003700558,0.00014222128,0.00006575332,0.00014300749,0.00021591497,0.000026093034],"study_design_candidate":"bench_or_experimental","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":[0.00003179222,0.000066580644,0.15256757,0.0000082331635,0.0000031777975,0.000007327008,0.001966916,0.0000020708935,0.8419222,0.000047496036,0.00018971998,0.003186928],"study_design_scores_gemma":[0.0005394734,0.00013893971,0.66752976,0.00020084128,0.0000035776907,0.0000013359797,0.004000634,0.00013473339,0.29321918,0.0010204664,0.033043925,0.00016709739],"about_ca_topic_score_codex":0.0024959028,"about_ca_topic_score_gemma":0.001267087,"teacher_disagreement_score":0.548703,"about_ca_system_score_codex":0.000025448055,"about_ca_system_score_gemma":0.0000026153593,"threshold_uncertainty_score":0.3773075},"labels":[],"label_agreement":null},{"id":"W4412527558","doi":"10.1029/2025wr039940","title":"Parsimonious Modeling of the Hydrological Performance of Blue‐Green Roofs in the Integrated Water Supply and Irrigation Management","year":2025,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Urban Heat Island Mitigation","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":"McMaster University","funders":"Natural Science Foundation of Shandong Province; National Natural Science Foundation of China; Shandong University","keywords":"Irrigation; Environmental science; Water resource management; Hydrology (agriculture); Water supply; Environmental engineering; Engineering; Geotechnical engineering","score_opus":0.024121899409085417,"score_gpt":0.2612960985260163,"score_spread":0.2371741991169309,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412527558","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9946184,0.000024069272,0.000021486016,0.0010131395,0.000009858616,0.00042597475,0.0000016512942,0.000004318745,0.0038811085],"genre_scores_gemma":[0.9988099,0.000018932005,0.000038421604,0.000039376926,0.000004663934,0.000037905873,0.000006146245,0.0000035757414,0.001041091],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985482,0.0003365632,0.00021224853,0.00018289116,0.00045225542,0.00026780882],"domain_scores_gemma":[0.99966824,0.000039967428,0.0000132463365,0.00024704373,0.00001553292,0.000015958232],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014053498,0.00006761245,0.00009033048,0.00008707599,0.00012650104,0.000020890857,0.00039542626,0.00005056552,0.00008405016],"category_scores_gemma":[0.000008789001,0.000026629228,0.000022562233,0.00025565433,0.0003231676,0.00006746317,0.00043017924,0.00022571019,0.0000125327115],"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":[0.0003947461,0.00022326142,0.7583554,0.0002535584,0.000040993695,0.000008001971,0.044902507,0.07421535,0.10605297,0.0001434494,0.0003511548,0.015058649],"study_design_scores_gemma":[0.0010338059,0.00032259553,0.21424787,0.00023887612,0.000023706036,0.00000431325,0.0027288112,0.45928958,0.308488,0.0044948836,0.008950267,0.00017730039],"about_ca_topic_score_codex":0.001231541,"about_ca_topic_score_gemma":0.00023443133,"teacher_disagreement_score":0.5441075,"about_ca_system_score_codex":0.000054204796,"about_ca_system_score_gemma":0.000002301102,"threshold_uncertainty_score":0.18617299},"labels":[],"label_agreement":null},{"id":"W4412809363","doi":"10.1029/2024wr039551","title":"Modeling Intermittent Water Supply in SWMM: A Critical Review With Reproducible Recommendations and a Python Package","year":2025,"lang":"en","type":"review","venue":"Water Resources Research","topic":"Water Systems and Optimization","field":"Engineering","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":"Hudbay Minerals (Canada); University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Python (programming language); Water supply; Environmental science; Computer science; Hydrology (agriculture); Engineering; Environmental engineering; Operating system; Geotechnical engineering","score_opus":0.09472601433368738,"score_gpt":0.3720715350234275,"score_spread":0.2773455206897401,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412809363","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00007081272,0.99515206,0.0005678599,0.0009090387,0.000116161194,0.0016319723,0.000026967387,0.00011728498,0.0014078564],"genre_scores_gemma":[0.00045395258,0.9947334,0.00035156918,0.000020591506,0.00012105075,0.0008866644,0.00032462738,0.00010795905,0.0030001998],"study_design_codex":"systematic_review","study_design_gemma":"not_applicable","domain_scores_codex":[0.9962857,0.00069818704,0.0008839223,0.000837388,0.0004274634,0.00086736464],"domain_scores_gemma":[0.99866134,0.00013062517,0.000016382523,0.0008821717,0.00017230959,0.00013714556],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024357066,0.00041025403,0.0012634756,0.0009450991,0.00014927625,0.00028908544,0.00038134557,0.0002336792,0.00009923909],"category_scores_gemma":[0.00011602543,0.00022280871,0.000122568,0.0004827289,0.00008010013,0.00018125722,0.00041405542,0.0010660819,0.00007640438],"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":[0.000023866956,0.00009864238,0.000012911852,0.53860766,0.00021949538,0.00020947591,0.00470035,0.002625122,0.0000073053425,0.000029976101,0.010354766,0.4431104],"study_design_scores_gemma":[0.00012680754,0.000048113794,1.6650989e-7,0.15415582,0.00010040757,0.00005829769,0.000054046865,0.0052186106,0.000032926448,0.000021942147,0.8398625,0.00032032133],"about_ca_topic_score_codex":0.00016155653,"about_ca_topic_score_gemma":0.00018151921,"teacher_disagreement_score":0.82950777,"about_ca_system_score_codex":0.0001903046,"about_ca_system_score_gemma":0.00003141077,"threshold_uncertainty_score":0.9085876},"labels":[],"label_agreement":null},{"id":"W4412993768","doi":"10.1029/2025wr040021","title":"Evaluating the Impact of Sediment Seeding Strategies in Pool‐Riffle Restoration: Experimental Insights Into Hydraulic and Spawning Habitat Performance","year":2025,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Sediment Transport Processes","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":"University of British Columbia; Stantec (Canada); Burnaby Hospital; University of Waterloo; McMaster University","funders":"","keywords":"Riffle; Seeding; Sediment; Environmental science; Habitat; Restoration ecology; Hydrology (agriculture); Stream restoration; Geology; Ecology; Geotechnical engineering; Geomorphology; Engineering","score_opus":0.05202366476237873,"score_gpt":0.38170148475618126,"score_spread":0.3296778199938025,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412993768","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9939446,0.0007686789,0.000012868242,0.00033168826,0.000021774025,0.0002894057,2.478047e-7,0.000012599608,0.004618142],"genre_scores_gemma":[0.9995636,0.000041158073,0.00007425387,0.000025551035,0.000019274668,0.00005811758,0.0000041989306,0.0000072648886,0.00020658546],"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99826986,0.00024419324,0.00027619838,0.0003100167,0.0005188657,0.00038089047],"domain_scores_gemma":[0.9995922,0.00011866554,0.000031602056,0.00018800121,0.000021173171,0.000048380476],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015146177,0.00012757447,0.00015316952,0.00017551616,0.00048005546,0.00008084986,0.00029469325,0.00007230666,0.00022996798],"category_scores_gemma":[0.000020864034,0.00007269981,0.000031345877,0.0004069831,0.00062192953,0.00042745614,0.00026776656,0.0003396942,0.000019744832],"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":[0.00041942182,0.00016425797,0.43850866,0.00010269298,0.000041963835,0.000010397485,0.09921493,0.09208768,0.36721683,0.00007244659,0.00009104954,0.0020696777],"study_design_scores_gemma":[0.0017665765,0.0026589788,0.43517807,0.0003377373,0.000017962975,0.000006987494,0.015771898,0.08566401,0.45284575,0.003407265,0.0019578817,0.00038688307],"about_ca_topic_score_codex":0.0018159496,"about_ca_topic_score_gemma":0.00020718726,"teacher_disagreement_score":0.085628934,"about_ca_system_score_codex":0.00016977622,"about_ca_system_score_gemma":0.00003295583,"threshold_uncertainty_score":0.3692247},"labels":[],"label_agreement":null},{"id":"W4413023061","doi":"10.1029/2024wr038024","title":"Wind‐Induced Versus Plume‐Induced Inter‐Basin Exchange—Resolving Causal Influences in Plume‐Lake Modeling","year":2025,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Oceanographic and Atmospheric Processes","field":"Earth and Planetary Sciences","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":"Division of Chemical, Bioengineering, Environmental, and Transport Systems; Universidad de Granada; National Science Foundation","keywords":"Plume; Environmental science; Structural basin; Atmospheric sciences; Panache; Geology; Climatology; Meteorology; Geomorphology; Geography","score_opus":0.0708123839532747,"score_gpt":0.3186529696148702,"score_spread":0.2478405856615955,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413023061","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9843719,0.0012055512,0.00003407511,0.0007892751,0.0003988129,0.00036415752,0.00001369049,0.00009634866,0.0127262],"genre_scores_gemma":[0.99831015,0.00014330306,0.00012332134,0.00013332756,0.00019650503,0.000009079549,0.00004389913,0.000013303751,0.0010271415],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9957478,0.00049078726,0.00053609215,0.00079339935,0.0009773227,0.0014546053],"domain_scores_gemma":[0.9986723,0.00041490977,0.0000472393,0.00044227298,0.00019274512,0.00023054855],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002018443,0.00031654505,0.00040689713,0.00052705803,0.000594972,0.0004852243,0.0010792335,0.00024947064,0.0012344194],"category_scores_gemma":[0.00028599094,0.00023164318,0.00009799151,0.0017692928,0.00024919395,0.00051696715,0.00024364961,0.0010389015,0.0001915899],"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":[0.0030022664,0.00022164246,0.79724747,0.0008645946,0.00032437049,0.00045324903,0.02618161,0.02054622,0.0032009603,0.000043728243,0.00076288416,0.14715098],"study_design_scores_gemma":[0.011014117,0.0031340567,0.252629,0.003007375,0.00013678923,0.0000303568,0.03379174,0.54724646,0.013558685,0.0051418953,0.12697126,0.0033382676],"about_ca_topic_score_codex":0.01244824,"about_ca_topic_score_gemma":0.02550957,"teacher_disagreement_score":0.5446185,"about_ca_system_score_codex":0.00002650418,"about_ca_system_score_gemma":0.00014229436,"threshold_uncertainty_score":0.9996786},"labels":[],"label_agreement":null},{"id":"W4413030100","doi":"10.1029/2025wr042872","title":"Declining Runoff Sensitivity to Precipitation Following Permafrost Degradation: Insights From Event‐Scale Runoff Response in the Yellow River Source Region","year":2025,"lang":"en","type":"preprint","venue":"Water Resources Research","topic":"Climate change and permafrost","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 British Columbia","funders":"National Key Research and Development Program of China; Qinghai Provincial Department of Science and Technology; State Key Laboratory of Hydroscience and Engineering; Ministry of Science and Technology of the People's Republic of China; National Natural Science Foundation of China","keywords":"Surface runoff; Precipitation; Environmental science; Hydrology (agriculture); Permafrost; Scale (ratio); Degradation (telecommunications); Sensitivity (control systems); Event (particle physics); Physical geography; Geography; Geology; Cartography; Ecology; Meteorology; Oceanography; Geotechnical engineering; Engineering","score_opus":0.08394755039133646,"score_gpt":0.33212825877644236,"score_spread":0.24818070838510592,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413030100","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99070114,0.0006099692,0.0001980761,0.003879921,0.000601097,0.001256793,0.0018005465,0.000051897434,0.0009005425],"genre_scores_gemma":[0.986795,0.00010643917,0.00013320259,0.00053048856,0.00056289753,0.000050273706,0.009137174,0.000019120604,0.002665376],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.98987925,0.00571755,0.0006469361,0.0011845808,0.0016112935,0.0009604031],"domain_scores_gemma":[0.9949226,0.0035094405,0.000102645885,0.0010382764,0.00019930975,0.00022774433],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0049534542,0.00043232177,0.00052299973,0.00095561804,0.00086654985,0.0007458074,0.0010096879,0.00047852506,0.00042577792],"category_scores_gemma":[0.00042098475,0.0002928501,0.00027210973,0.00074993115,0.00022254318,0.00026414625,0.00062791444,0.0017454172,0.00048343118],"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":[0.004651285,0.00011791142,0.5574788,0.00020310524,0.00011481497,0.000784425,0.39885423,0.024199963,0.0027570939,0.0000013725926,0.0031378749,0.007699159],"study_design_scores_gemma":[0.0008857152,0.00031344895,0.855413,0.0016090994,0.000066103894,0.000015653495,0.013474524,0.024488507,0.001066247,0.001330313,0.10049655,0.000840796],"about_ca_topic_score_codex":0.04143339,"about_ca_topic_score_gemma":0.08238231,"teacher_disagreement_score":0.3853797,"about_ca_system_score_codex":0.00008611503,"about_ca_system_score_gemma":0.000120632,"threshold_uncertainty_score":0.9999524},"labels":[],"label_agreement":null},{"id":"W4413237517","doi":"10.1029/2025wr040865","title":"Unlocking Sub‐Micrometer Features in Carbonate Rocks: A Cascading Super‐Resolution Approach for Multiscale Multi‐Instrument Carbonate Characterization","year":2025,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Seismic Imaging and Inversion Techniques","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":"Portage College","funders":"","keywords":"Characterization (materials science); Micrometer; Carbonate; Resolution (logic); Geology; Image resolution; Artificial intelligence; Computer science; Materials science; Nanotechnology; Optics; Physics","score_opus":0.03544729471959621,"score_gpt":0.28032015813684313,"score_spread":0.24487286341724693,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413237517","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9931663,0.00037201637,0.00234663,0.0006246474,0.00014412327,0.000947438,0.00006723223,0.00011172938,0.0022198763],"genre_scores_gemma":[0.9947948,0.00006782883,0.0019506657,0.00023707282,0.000065623695,0.000055703134,0.0006333978,0.000012138612,0.0021827796],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99736214,0.00036704674,0.00033189653,0.000589111,0.00044505185,0.0009047285],"domain_scores_gemma":[0.9993594,0.00012467949,0.000036442285,0.00026376365,0.00011917424,0.00009648239],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016460996,0.00020395486,0.00025356683,0.001076985,0.00044292293,0.00024591287,0.00040792895,0.00016991957,0.000036531143],"category_scores_gemma":[0.00007491061,0.00015315942,0.00008581929,0.0005252161,0.00016287729,0.00023737314,0.00010032754,0.00048472473,0.0000117784975],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011997555,0.00032214465,0.43959692,0.0009568545,0.00015588272,0.000047961745,0.01964293,0.009312708,0.31209674,0.00002664729,0.0016337958,0.21500765],"study_design_scores_gemma":[0.0012218318,0.00011374739,0.04790501,0.00019950935,0.000011937086,0.0000101483065,0.00082983583,0.74202406,0.17266725,0.00013265172,0.03455311,0.00033093418],"about_ca_topic_score_codex":0.014352194,"about_ca_topic_score_gemma":0.0002601747,"teacher_disagreement_score":0.7327113,"about_ca_system_score_codex":0.00008030044,"about_ca_system_score_gemma":0.000030627598,"threshold_uncertainty_score":0.99221134},"labels":[],"label_agreement":null},{"id":"W4413245777","doi":"10.1029/2024wr039620","title":"Size Matters: Effects of Propagule Size on Dispersal in Rivers","year":2025,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Aquatic Invertebrate Ecology and Behavior","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":"Fisheries and Oceans Canada; University of Guelph","funders":"Fisheries and Oceans Canada; Natural Sciences and Engineering Research Council of Canada","keywords":"Biological dispersal; Propagule; Settling; Turbulence; Range (aeronautics); Water column; Dispersion (optics); Particle size; Hydrology (agriculture); Environmental science; Biology; Ecology; Animal science; Physics; Mechanics; Geology; Materials science; Environmental engineering","score_opus":0.013751612999407158,"score_gpt":0.29064992851980814,"score_spread":0.276898315520401,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413245777","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9870109,0.000006372904,0.0000028502147,0.001976745,0.000057616897,0.00045157765,0.0000010341062,0.000011565255,0.010481327],"genre_scores_gemma":[0.98660225,0.0000027410074,0.00006288055,0.00038062854,0.000009461058,0.00005805401,9.0176906e-7,0.000007660081,0.012875438],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998219,0.0003998113,0.0001729868,0.00030175355,0.00041770787,0.0004887101],"domain_scores_gemma":[0.998967,0.00069908274,0.000016564385,0.00025682017,0.000008568524,0.000051962197],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.000729592,0.00009823814,0.00016014976,0.00009854193,0.00012333314,0.000018915644,0.00037618657,0.00009978162,0.004670384],"category_scores_gemma":[0.00021535417,0.00006549546,0.000038418864,0.0003079511,0.0006549681,0.00006969558,0.00038355507,0.00033201784,0.0019968548],"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":[0.00059110246,0.0010396973,0.6393016,0.0002368701,0.000031705622,0.00025289922,0.009891348,0.00016241126,0.32186157,0.00012116364,0.019844975,0.006664641],"study_design_scores_gemma":[0.0014967954,0.0005844248,0.51963496,0.00018831957,0.000013573895,0.0000013641687,0.00060969795,0.00041979126,0.46848765,0.000808111,0.0075552603,0.00020005094],"about_ca_topic_score_codex":0.0013095922,"about_ca_topic_score_gemma":0.00033820007,"teacher_disagreement_score":0.1466261,"about_ca_system_score_codex":0.00025069388,"about_ca_system_score_gemma":0.00000840581,"threshold_uncertainty_score":0.9987802},"labels":[],"label_agreement":null},{"id":"W4413310815","doi":"10.1029/2025wr040670","title":"Predicting Nitrous Oxide Emission From China's Waterbodies With Multiple Deep Learning Algorithms","year":2025,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrological Forecasting Using AI","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":"University of Waterloo","funders":"Fundamental Research Funds for the Central Universities; National Key Research and Development Program of China","keywords":"Nitrous oxide; Algorithm; China; Environmental science; Computer science; Chemistry; Geography","score_opus":0.022054800759015062,"score_gpt":0.27967744735742567,"score_spread":0.2576226465984106,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413310815","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9905713,0.00006580834,0.00031468787,0.00052925455,0.00003383361,0.00031891992,0.0000025671907,0.00020697272,0.007956626],"genre_scores_gemma":[0.98993015,0.000007955785,0.0018571139,0.000034986526,0.000063373394,0.00005742389,0.000024116098,0.000029302186,0.007995583],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9965597,0.0005421325,0.0002595073,0.000703117,0.0009287484,0.0010067908],"domain_scores_gemma":[0.9991141,0.00029655817,0.000035995046,0.0003489987,0.000027242126,0.00017710103],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012339469,0.00021280849,0.00022844045,0.00013655564,0.0011248414,0.00021639548,0.0005691987,0.00014346784,0.00046726203],"category_scores_gemma":[0.00038944752,0.00012109443,0.000048934664,0.0003667576,0.0005939876,0.00013879547,0.0012928528,0.0010338274,0.00036966556],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022933191,0.000073019124,0.8664179,0.00001768896,0.00003121186,0.000082148435,0.006742895,0.035156522,0.07000603,3.9609293e-7,0.000101980135,0.021140868],"study_design_scores_gemma":[0.0016877581,0.00070598064,0.26991612,0.00041817263,0.000033617034,0.000020508822,0.000991012,0.44675124,0.1678557,0.0012405997,0.10972654,0.00065277313],"about_ca_topic_score_codex":0.013566867,"about_ca_topic_score_gemma":0.00042218246,"teacher_disagreement_score":0.5965018,"about_ca_system_score_codex":0.0002058481,"about_ca_system_score_gemma":0.0000051413886,"threshold_uncertainty_score":0.9930019},"labels":[],"label_agreement":null},{"id":"W4413423454","doi":"10.1029/2024wr037606","title":"Variations in Groundwater Recharge and Water Table Elevations Across the Holocene in a Semi‐Arid Alluvial Basin","year":2025,"lang":"en","type":"article","venue":"Water Resources Research","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":"University of Saskatchewan","funders":"Savannah River National Laboratory; U.S. Geological Survey; U.S. Department of Energy; National Science Foundation","keywords":"Groundwater recharge; Geology; Water table; Groundwater; Arid; Hydrology (agriculture); Structural basin; Depression-focused recharge; Holocene; Alluvium; Geomorphology; Aquifer; Geotechnical engineering; Oceanography; Paleontology","score_opus":0.027643002150100446,"score_gpt":0.29220751230701575,"score_spread":0.2645645101569153,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413423454","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98919487,0.0001453828,0.000032535296,0.0044954703,0.00007761189,0.00036791738,0.000035607503,0.000020380776,0.0056301947],"genre_scores_gemma":[0.9892392,0.000046967947,0.000041946983,0.00019673332,0.000072900184,0.000034907694,0.00019785561,0.000005635823,0.010163827],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9973262,0.00041777463,0.00033733802,0.00044828566,0.00038844792,0.0010819657],"domain_scores_gemma":[0.999283,0.00019462523,0.0000129350165,0.00035155393,0.00007881638,0.00007904806],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0029357176,0.00015381502,0.0001898979,0.00026435344,0.00059479714,0.0004990156,0.00046944155,0.00013680785,0.0011385804],"category_scores_gemma":[0.000062217594,0.000079932935,0.000030846924,0.0005543084,0.0002580092,0.00026767555,0.00019710191,0.00064925273,0.00019658935],"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":[0.00016269168,0.000094048206,0.9710698,0.00007518516,0.000024317278,0.00003957845,0.018968206,0.00032154762,0.0052696727,0.000040375908,0.00070355536,0.0032310279],"study_design_scores_gemma":[0.0014984594,0.00011649682,0.7975497,0.00010627387,0.000008250603,0.00002328563,0.0026626447,0.0062085195,0.048837654,0.006348894,0.1362712,0.00036860254],"about_ca_topic_score_codex":0.023481233,"about_ca_topic_score_gemma":0.0074414276,"teacher_disagreement_score":0.17352007,"about_ca_system_score_codex":0.000028135835,"about_ca_system_score_gemma":0.000031460426,"threshold_uncertainty_score":0.9997745},"labels":[],"label_agreement":null},{"id":"W4413456003","doi":"10.1029/2024wr039453","title":"Model for Predicting the Hydraulic Conductivity of Frozen Soils Using the Soil Freezing Characteristic Curve","year":2025,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":6,"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","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Hydraulic conductivity; Soil water; Soil science; Geotechnical engineering; Environmental science; Pedotransfer function; Geology","score_opus":0.1981457087759129,"score_gpt":0.35466945021289153,"score_spread":0.15652374143697864,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413456003","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9942382,0.00038916373,0.00025166478,0.0019877856,0.00012344672,0.0005144903,0.00092458655,0.000014097779,0.0015565706],"genre_scores_gemma":[0.99815744,0.00003931196,0.000019439234,0.00013443426,0.0002147511,0.00001282077,0.00024202156,0.0000055702235,0.0011741901],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99806887,0.00035877115,0.00025984907,0.000269567,0.00043385147,0.0006091121],"domain_scores_gemma":[0.9983526,0.0009885185,0.000054656633,0.00038531277,0.0001649919,0.000053920845],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027496195,0.00012166966,0.00019419898,0.00013573708,0.0010147811,0.00018956175,0.00060429703,0.000074218406,0.0003103286],"category_scores_gemma":[0.00018282715,0.00005721673,0.00008727647,0.00025320332,0.00040894386,0.0001365405,0.0001299218,0.00037465701,0.000013738125],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007711195,0.00009125941,0.68817806,0.00091131526,0.00023831184,0.000009866814,0.100688174,0.0682024,0.12561513,0.000055100274,0.0027445743,0.012494661],"study_design_scores_gemma":[0.00020931651,0.000045691624,0.010643628,0.00008280089,0.000021772013,0.0000032261446,0.0020240257,0.9730553,0.0062485724,0.0010946232,0.0064817956,0.00008923399],"about_ca_topic_score_codex":0.014294227,"about_ca_topic_score_gemma":0.008959588,"teacher_disagreement_score":0.9048529,"about_ca_system_score_codex":0.0000108307895,"about_ca_system_score_gemma":0.00004666707,"threshold_uncertainty_score":0.9922697},"labels":[],"label_agreement":null},{"id":"W4413957774","doi":"10.1029/2024wr039342","title":"Upscaling Snow Accumulation and Ablation Using Machine Learning","year":2025,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; Alberta Innovates","keywords":"Snow; Ablation; Artificial intelligence; Environmental science; Computer science; Hydrology (agriculture); Machine learning; Geology; Engineering; Geotechnical engineering; Geomorphology; Aerospace engineering","score_opus":0.12164648136976727,"score_gpt":0.3535763968804604,"score_spread":0.2319299155106931,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413957774","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9955106,0.0012589833,0.00040929034,0.00046632192,0.000054125558,0.00012848759,0.0000034099578,0.000027084672,0.0021417157],"genre_scores_gemma":[0.9978775,0.00013253262,0.00047889908,0.00003702654,0.000066798224,9.798091e-7,0.000052368265,0.0000025819131,0.0013513103],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989404,0.00015953908,0.00014051858,0.00019794621,0.00026241643,0.0002991742],"domain_scores_gemma":[0.999514,0.00025823474,0.000015657284,0.00008899093,0.00007955996,0.00004356412],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007810897,0.00006723588,0.00009000536,0.00011570996,0.0009603292,0.00016872943,0.000087806504,0.00004360163,0.00046802478],"category_scores_gemma":[0.00012707099,0.00004688818,0.000019092864,0.00034589428,0.0000834747,0.00012010809,0.000058166137,0.00022734523,0.000025117724],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000028035589,0.0000038560243,0.9323197,0.00002004886,0.000014347745,0.0000017109335,0.0014713246,0.045003686,0.00033878066,0.000020465357,0.000031146876,0.020746905],"study_design_scores_gemma":[0.0001344811,0.000024662479,0.3883974,0.00002899734,0.0000050856297,9.144945e-7,0.0005041577,0.5553032,0.0002624245,0.00042020617,0.054859065,0.00005938683],"about_ca_topic_score_codex":0.0089686215,"about_ca_topic_score_gemma":0.0016798261,"teacher_disagreement_score":0.5439223,"about_ca_system_score_codex":0.000008927821,"about_ca_system_score_gemma":0.000008240921,"threshold_uncertainty_score":0.9976307},"labels":[],"label_agreement":null},{"id":"W4414213745","doi":"10.1029/2024wr039242","title":"A Unified Flow Resistance Formula for Open‐Channels With Natural and Engineered Submerged Obstacles","year":2025,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Sediment Transport Processes","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":"University of British Columbia","funders":"China Postdoctoral Science Foundation; Tsinghua University; National Natural Science Foundation of China","keywords":"Flume; Standard deviation; Obstacle; Metric (unit); Surface finish; Flow (mathematics); Flow resistance; Hydraulic roughness; Flow velocity","score_opus":0.022389161520826296,"score_gpt":0.28526046057421994,"score_spread":0.2628712990533936,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414213745","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9916612,0.00054680783,0.00052187196,0.0020510077,0.00004452695,0.0008562808,0.000010027154,0.000035150813,0.0042731087],"genre_scores_gemma":[0.9709814,0.000030075853,0.0010377677,0.000106279695,0.000017002823,0.00022065699,0.000028477463,0.000013638788,0.02756469],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.99844646,0.000079990736,0.00015896543,0.00043948396,0.0002705456,0.00060454843],"domain_scores_gemma":[0.9995244,0.000109537876,0.000013112599,0.00023084364,0.000034978508,0.000087096225],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00086487154,0.00013526839,0.00017625623,0.00010311113,0.0004982477,0.00013751705,0.0005695585,0.000083152605,0.00021073886],"category_scores_gemma":[0.000035646557,0.000084759464,0.000022884507,0.0003045958,0.00038164074,0.0002426775,0.00026307467,0.0002571613,0.000017409533],"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":[0.06626574,0.0023527192,0.19373131,0.005796329,0.0019839848,0.00058967114,0.14541963,0.049928237,0.39144468,0.008145907,0.07832409,0.056017697],"study_design_scores_gemma":[0.0041296,0.00042450835,0.009028092,0.00018488051,0.000040774285,0.000004903228,0.0006917225,0.009075896,0.1305337,0.007311523,0.83803546,0.00053894136],"about_ca_topic_score_codex":0.00013170627,"about_ca_topic_score_gemma":0.000857182,"teacher_disagreement_score":0.7597114,"about_ca_system_score_codex":0.000043239423,"about_ca_system_score_gemma":0.000011459576,"threshold_uncertainty_score":0.38321686},"labels":[],"label_agreement":null},{"id":"W4414240087","doi":"10.1029/2024wr039729","title":"Deep Soil Water Reservoirs Modulate Land Use and Drought Effects on the Water Budget of Amazon Headwaters","year":2025,"lang":"en","type":"article","venue":"Water Resources Research","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":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Conselho Nacional de Desenvolvimento Científico e Tecnológico; National Science Foundation","keywords":"Hydrology (agriculture); Evapotranspiration; Water balance; Surface runoff; Streamflow; Drainage basin; Precipitation; Groundwater; Land use; Soil water","score_opus":0.02037649796446889,"score_gpt":0.2649708310933525,"score_spread":0.24459433312888362,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414240087","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9781041,0.000027753715,0.000016622653,0.01744096,0.000072659335,0.0005792758,0.0000016557096,0.000031582396,0.0037253818],"genre_scores_gemma":[0.9828829,0.00006800736,0.0000165387,0.00057771185,0.000029971996,0.00009855111,0.0000133900185,0.00002068965,0.016292194],"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99665457,0.0008076404,0.0002743232,0.00057583477,0.00061437057,0.0010732503],"domain_scores_gemma":[0.99895513,0.00030793838,0.000016710188,0.00060946227,0.000026934762,0.000083816776],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020530266,0.00023797019,0.00028327334,0.00022703594,0.0007898119,0.00014348047,0.0005506817,0.00012537571,0.00030505305],"category_scores_gemma":[0.0000524472,0.0000874131,0.00006783807,0.00015998154,0.0010914876,0.00020522007,0.0021474422,0.000441508,0.0005604526],"study_design_candidate":"bench_or_experimental","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":[0.0026072974,0.00046285352,0.59883225,0.00089537614,0.000887559,0.0002803336,0.07078655,0.024467764,0.2801393,0.00017300459,0.017207293,0.0032604376],"study_design_scores_gemma":[0.0010112886,0.00039613128,0.03034274,0.0000959376,0.000039968563,0.0000022609154,0.0002815036,0.0021804518,0.86233705,0.0044390573,0.09859345,0.00028016538],"about_ca_topic_score_codex":0.0016218245,"about_ca_topic_score_gemma":0.00033716354,"teacher_disagreement_score":0.5821977,"about_ca_system_score_codex":0.0000672894,"about_ca_system_score_gemma":0.000001240512,"threshold_uncertainty_score":0.7203671},"labels":[],"label_agreement":null},{"id":"W4414299418","doi":"10.1029/2025wr040216","title":"Spatially Distributed Modeling of Lake Ice Trends and Distribution in the North Slave Region, NWT, Canada","year":2025,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","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 Waterloo; Wilfrid Laurier University","funders":"Global Water Futures; Natural Sciences and Engineering Research Council of Canada","keywords":"Spatial distribution; Latitude; Phenology; Climate model; Elevation (ballistics); Climate change; Cloud cover; Spatial variability","score_opus":0.022060747116296617,"score_gpt":0.2470131372014515,"score_spread":0.22495239008515489,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414299418","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99401176,0.00006078662,0.00082339114,0.0032705674,0.00003063531,0.00010273102,0.00026990141,0.0000051123534,0.0014250871],"genre_scores_gemma":[0.99835235,0.00004908689,0.0000136719445,0.000066004905,0.000026609456,0.0000018839098,0.0011836186,0.0000016484665,0.0003051273],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99843436,0.00027206767,0.00022268588,0.00020235278,0.00047228494,0.00039625386],"domain_scores_gemma":[0.99942636,0.00021142523,0.0000224857,0.00019211971,0.00009604781,0.00005153842],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00071079127,0.00008654866,0.00013084809,0.00010923146,0.00027093868,0.00005396299,0.00030876984,0.000043652628,0.000054352833],"category_scores_gemma":[0.00007170776,0.000049352548,0.000021260654,0.00053234876,0.00016298925,0.000060469083,0.000048776696,0.00030833625,0.0000014746504],"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":[0.00012523403,0.000017369877,0.96290416,0.00006048261,0.000017064738,0.00004770504,0.0024739506,0.02064494,0.0000019504507,0.000050578656,0.0006024172,0.013054178],"study_design_scores_gemma":[0.00028474894,0.00006399187,0.6438995,0.00004729782,0.000009713761,0.000009358109,0.0018204913,0.33112156,0.000010396187,0.00041231877,0.022221627,0.00009902018],"about_ca_topic_score_codex":0.6258538,"about_ca_topic_score_gemma":0.95683515,"teacher_disagreement_score":0.33098134,"about_ca_system_score_codex":0.000016753467,"about_ca_system_score_gemma":0.00009894172,"threshold_uncertainty_score":0.3766377},"labels":[],"label_agreement":null},{"id":"W4414373961","doi":"10.1029/2025wr040635","title":"Long Short‐Term Memory Model to Forecast River Ice Breakup Throughout Alaska USA","year":2025,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","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":"Biological and Environmental Research; Office of Science; National Energy Research Scientific Computing Center; U.S. Department of Energy","keywords":"Breakup; Arctic; Drainage basin; Downscaling; Flood myth; Flooding (psychology); Climate change; Hydrological modelling; Hydrology (agriculture)","score_opus":0.11904907683403823,"score_gpt":0.35428905912526376,"score_spread":0.23523998229122553,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414373961","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9359223,0.0002636434,0.00007897878,0.0012918538,0.00015495165,0.0004559967,0.0006773554,0.000036851416,0.061118074],"genre_scores_gemma":[0.96400875,0.000103650644,0.00009578166,0.0006750001,0.00025379634,0.000011752781,0.0007999748,0.000011976752,0.03403934],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9968513,0.00020806621,0.00028336255,0.0006086986,0.0008462097,0.0012023167],"domain_scores_gemma":[0.99877393,0.00018836459,0.000013620523,0.0005481717,0.00015574759,0.000320157],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0010573037,0.00022494757,0.0002662967,0.00047427914,0.00055490906,0.0003475285,0.00080953137,0.00014547531,0.0067839026],"category_scores_gemma":[0.000029632993,0.00015382553,0.00009938481,0.00051632593,0.0003063747,0.00026582638,0.000272808,0.0004643833,0.0031213772],"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":[0.00042010282,0.00006135018,0.91348404,0.00017191951,0.00005834916,0.00014916131,0.02664242,0.005447502,0.0024620001,0.0000073536926,0.014179323,0.036916506],"study_design_scores_gemma":[0.001022319,0.00044972164,0.7671979,0.0003160681,0.000047556863,0.00004855226,0.0023278582,0.076944366,0.016964188,0.0011206764,0.13254455,0.0010162197],"about_ca_topic_score_codex":0.00806254,"about_ca_topic_score_gemma":0.037297014,"teacher_disagreement_score":0.14628609,"about_ca_system_score_codex":0.000025494546,"about_ca_system_score_gemma":0.000038635477,"threshold_uncertainty_score":0.99854285},"labels":[],"label_agreement":null},{"id":"W4414814451","doi":"10.1029/2025wr040229","title":"An Improved Physical Model for Open Channel Confluences: Bridging the Gap Between Laboratory and Field Observations","year":2025,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Sediment Transport Processes","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 Ottawa","funders":"","keywords":"Flume; Turbulence; Bridging (networking); Channel (broadcasting); Turbulence kinetic energy; Hydraulic structure; Open-channel flow; Sediment transport; Acceleration","score_opus":0.09357273704388853,"score_gpt":0.3651243230634285,"score_spread":0.27155158601954,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414814451","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98983824,0.00003102448,0.0025379683,0.006398837,0.000011501342,0.0005829709,0.000021558673,0.000017973889,0.0005599041],"genre_scores_gemma":[0.9972063,0.0000066267044,0.00010992715,0.0007600172,0.000047453635,0.00021023532,0.000017688582,0.0000068074887,0.0016349957],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989233,0.00010280113,0.000116755386,0.00031938998,0.00017962341,0.00035813224],"domain_scores_gemma":[0.9994293,0.00022138917,0.000012884872,0.00023850225,0.000031093838,0.00006681749],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010170055,0.00008136619,0.00011707671,0.00003627575,0.0007599042,0.00015269467,0.0007541033,0.00006338078,0.000038245955],"category_scores_gemma":[0.000034226712,0.00004822578,0.000018042456,0.00017716106,0.00037570047,0.00030236156,0.00029274885,0.00023286625,0.000008099006],"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":[0.0012534863,0.000951882,0.43284875,0.00055301195,0.00035665923,0.000012502198,0.15741949,0.05439557,0.31889334,0.0016823383,0.01131548,0.020317493],"study_design_scores_gemma":[0.00085334305,0.00038278097,0.0132528385,0.00003777585,0.000038864455,2.8203078e-7,0.0007514412,0.8723446,0.06359241,0.01775206,0.03074392,0.0002496693],"about_ca_topic_score_codex":0.0005062807,"about_ca_topic_score_gemma":0.00016805316,"teacher_disagreement_score":0.81794906,"about_ca_system_score_codex":0.000016492515,"about_ca_system_score_gemma":0.000017635566,"threshold_uncertainty_score":0.58446455},"labels":[],"label_agreement":null},{"id":"W4414821844","doi":"10.1029/2024wr039717","title":"Characterizing Spatial Heterogeneity of Hydraulic Conductivity Using Borehole NMR in a Complex Groundwater Flow System","year":2025,"lang":"en","type":"article","venue":"Water Resources Research","topic":"NMR spectroscopy and applications","field":"Physics and Astronomy","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 Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; China Scholarship Council","keywords":"Borehole; Spatial heterogeneity; Hydraulic conductivity; Spatial variability; Drawdown (hydrology); Groundwater flow; Kriging; Variogram; Geostatistics; Well logging","score_opus":0.07111937265578248,"score_gpt":0.39382714457700857,"score_spread":0.32270777192122607,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414821844","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9917637,0.000015145807,0.0034389147,0.00021571484,0.000026247244,0.00040598947,0.000034732213,0.000019296074,0.0040802504],"genre_scores_gemma":[0.99925727,3.886251e-7,0.00026655928,0.000011697297,0.0001466862,0.000080719066,0.000060813305,0.000014590413,0.00016126307],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9981937,0.00031687145,0.00032833256,0.00034805216,0.00028536667,0.00052772247],"domain_scores_gemma":[0.99938667,0.000047743026,0.00004513092,0.0003740596,0.0000866579,0.000059749706],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006470222,0.00013647263,0.0002893948,0.0002836565,0.00026594626,0.000104989485,0.0003131267,0.000048597183,0.00014257588],"category_scores_gemma":[0.0000025946995,0.00010746646,0.00008199913,0.00032707732,0.00018508057,0.00011246611,0.0003005382,0.00033872348,0.000026422651],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008659243,0.00031672505,0.08268952,0.00018011713,0.00006838199,0.0000035187807,0.0018497084,0.00023582172,0.9109807,0.0019214976,0.000032966254,0.0016344438],"study_design_scores_gemma":[0.0007889595,0.000060329236,0.036972363,0.00018825855,0.000014843329,0.00000154928,0.00087991136,0.031008549,0.91682714,0.0007527972,0.012289349,0.00021592519],"about_ca_topic_score_codex":0.010599562,"about_ca_topic_score_gemma":0.00012735583,"teacher_disagreement_score":0.045717157,"about_ca_system_score_codex":0.00010323672,"about_ca_system_score_gemma":0.000030119001,"threshold_uncertainty_score":0.99598897},"labels":[],"label_agreement":null},{"id":"W4414885934","doi":"10.1029/2025wr040669","title":"Long‐Term Prediction Model for Erosion‐Deposition Topographic Evolution in the Sanmenxia‐To‐Xiaolangdi Reach of the Yellow River Based on Deep Learning","year":2025,"lang":"en","type":"article","venue":"Water Resources Research","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":"Canada Research Chairs; University of Waterloo","funders":"Hubei University; Hubei University of Technology","keywords":"Elevation (ballistics); Hydrology (agriculture); Deep learning; Sediment; Erosion; Sedimentation; Time series; Water level; Deep water","score_opus":0.02015113962382327,"score_gpt":0.27682291655575675,"score_spread":0.2566717769319335,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414885934","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98678464,0.00001425645,0.0071525727,0.002549836,0.000035084944,0.00087791163,0.0000029367395,0.000014956303,0.0025678196],"genre_scores_gemma":[0.99799573,0.000008032194,0.00007280279,0.00022652477,0.000014283097,0.00023184303,0.000010071807,0.0000064273286,0.0014342894],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9982332,0.00048124482,0.00016617206,0.00028236784,0.00048415063,0.00035288796],"domain_scores_gemma":[0.99953496,0.00011888392,0.000023280594,0.00028413953,0.000016962813,0.000021779731],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016567204,0.00009097759,0.00009311519,0.00021791231,0.00060774625,0.000024778295,0.00039275238,0.00007152227,0.000020518917],"category_scores_gemma":[0.000049373393,0.000047799516,0.00006378937,0.00043652684,0.00035526266,0.00006378873,0.00029079634,0.00030255786,0.00001857217],"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":[0.00038322687,0.0001397519,0.6465215,0.000056816614,0.000016136513,0.0000013748098,0.01088647,0.3328869,0.0078078923,0.000043263273,0.00051904673,0.0007376091],"study_design_scores_gemma":[0.00045944107,0.00021985249,0.70323896,0.00008269206,0.000016876078,2.2746214e-7,0.00020764222,0.2921036,0.0019742928,0.0009379869,0.0006935623,0.000064882406],"about_ca_topic_score_codex":0.0002662882,"about_ca_topic_score_gemma":0.0003868684,"teacher_disagreement_score":0.056717455,"about_ca_system_score_codex":0.00013375269,"about_ca_system_score_gemma":0.0000026089954,"threshold_uncertainty_score":0.46743542},"labels":[],"label_agreement":null},{"id":"W4415040644","doi":"10.1029/2024wr039686","title":"Influence of Mine Dewatering‐Effluent Cycling on Arsenic Loading in a Gold Mine Tailings Containment Area","year":2025,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Arsenic contamination and mitigation","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":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; Crown-Indigenous Relations and Northern Affairs Canada","keywords":"Tailings; Dewatering; Groundwater; Vadose zone; Effluent; Water table; Arsenic; Groundwater flow","score_opus":0.022405545235029453,"score_gpt":0.30082678753339154,"score_spread":0.27842124229836207,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415040644","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99355257,0.000025829422,0.000019609111,0.0007110379,0.000020740732,0.00042311448,0.0000016834707,0.000018376315,0.005227061],"genre_scores_gemma":[0.9920009,0.000016519272,0.00008771395,0.00012438695,0.000009143838,0.0000608393,0.000006672565,0.000010075993,0.0076837656],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9978431,0.00017976193,0.00041639898,0.00040163455,0.00066462497,0.000494516],"domain_scores_gemma":[0.99938667,0.000152903,0.00004634198,0.00029908356,0.000034773064,0.0000802294],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013939147,0.00013256421,0.00018925597,0.00034698512,0.000097225224,0.00003736524,0.00032948513,0.00007411557,0.00023981585],"category_scores_gemma":[0.00015040472,0.00010287951,0.00004585684,0.0004127951,0.00025361887,0.00011254606,0.0004518481,0.00027734617,0.0001264755],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020092494,0.00014929097,0.06685132,0.00005479542,0.000012320166,0.000022668335,0.006336892,0.024428792,0.8970085,0.00007419515,0.00009869863,0.0047616237],"study_design_scores_gemma":[0.0017760874,0.00043867785,0.14127372,0.00063097035,0.000009202203,0.000003654751,0.0014288473,0.00857051,0.82164556,0.00057620776,0.02336274,0.00028385533],"about_ca_topic_score_codex":0.0017705668,"about_ca_topic_score_gemma":0.00049559626,"teacher_disagreement_score":0.07536295,"about_ca_system_score_codex":0.00044247342,"about_ca_system_score_gemma":0.000010299818,"threshold_uncertainty_score":0.41953045},"labels":[],"label_agreement":null},{"id":"W4415156195","doi":"10.1029/2024wr038788","title":"The Role of Vadose Zone Storage Deficits in Modulating Groundwater Recharge and Streamflow in Seasonally Dry Watersheds","year":2025,"lang":"en","type":"article","venue":"Water Resources Research","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":"Simon Fraser University","funders":"University of Texas at Austin; National Science Foundation","keywords":"Groundwater recharge; Vadose zone; Hydrology (agriculture); Groundwater; Streamflow; Evapotranspiration; Precipitation; Dry season; Wet season","score_opus":0.014434069775506824,"score_gpt":0.2667318823142228,"score_spread":0.25229781253871597,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415156195","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99004453,0.0003081046,0.000015887437,0.0013087116,0.00002315337,0.00034200147,0.0000012167942,0.000011730453,0.00794464],"genre_scores_gemma":[0.9951232,0.00011721962,0.00007232234,0.00003916306,0.00000920236,0.00006335737,0.0000034158677,0.0000099025465,0.004562232],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9977114,0.00050703983,0.000290184,0.00038406512,0.0003936766,0.0007136146],"domain_scores_gemma":[0.99946415,0.00019132173,0.000022363069,0.00026776566,0.000012954594,0.000041438943],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026937956,0.00013452052,0.00019255465,0.00023050132,0.00034640098,0.000058474234,0.00037184847,0.00008604137,0.00008268437],"category_scores_gemma":[0.00004498798,0.00007888366,0.00002786901,0.00035919604,0.00055139593,0.00013335103,0.0013017209,0.00038055313,0.0000455171],"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":[0.00022134303,0.00011690379,0.9645564,0.00004414302,0.000028502272,0.000026422249,0.010312506,0.0016510302,0.010811008,0.00013980467,0.000059613078,0.012032302],"study_design_scores_gemma":[0.0019901905,0.00031286315,0.85924786,0.00023262906,0.000016667402,0.0000018606795,0.0065445104,0.027237238,0.02929674,0.016125482,0.05857033,0.0004236173],"about_ca_topic_score_codex":0.002595001,"about_ca_topic_score_gemma":0.0035994216,"teacher_disagreement_score":0.105308555,"about_ca_system_score_codex":0.00011702322,"about_ca_system_score_gemma":0.0000034139114,"threshold_uncertainty_score":0.39228824},"labels":[],"label_agreement":null},{"id":"W4415219212","doi":"10.1029/2025wr040778","title":"Root Water Uptake Resolved by Distributed Moisture Storage Changes Through Soil and Weathered Bedrock","year":2025,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Soil Moisture and Remote Sensing","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":"Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada; National Science Foundation","keywords":"Groundwater recharge; Vadose zone; Evapotranspiration; Water balance; Water content; Hydrology (agriculture); Soil water; Moisture; Precipitation","score_opus":0.020156039966789798,"score_gpt":0.2784381209874968,"score_spread":0.25828208102070704,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415219212","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9632955,0.0006963777,0.00012616665,0.009851527,0.00008934512,0.00037524654,0.000020906333,0.000082122366,0.025462784],"genre_scores_gemma":[0.9741353,0.00009438546,0.00006951459,0.0002958644,0.00009825175,0.000011157637,0.0001407967,0.00003324193,0.025121491],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.9968234,0.00034454974,0.00023445755,0.00072248175,0.0007908791,0.0010842319],"domain_scores_gemma":[0.9991769,0.0000760575,0.00002105248,0.00053770735,0.000035309742,0.00015293843],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007920561,0.0002646514,0.00028558378,0.00009435572,0.0007628212,0.00024280195,0.00044308498,0.00032682795,0.00023708942],"category_scores_gemma":[0.00004058004,0.00014911022,0.000059863865,0.00031630197,0.0006354661,0.00012253478,0.0010569147,0.0007945844,0.00022938733],"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":[0.00047329243,0.0002656586,0.015712203,0.00014763398,0.00017618304,0.00018872136,0.03223781,0.00030787743,0.7634421,0.000016148553,0.1516863,0.035346065],"study_design_scores_gemma":[0.00052107155,0.00008392292,0.019127054,0.000051383013,0.0000150665,0.000008679408,0.00084729976,0.00021590678,0.14401226,0.0005734421,0.83431756,0.00022633547],"about_ca_topic_score_codex":0.004968924,"about_ca_topic_score_gemma":0.006929244,"teacher_disagreement_score":0.6826313,"about_ca_system_score_codex":0.00018714549,"about_ca_system_score_gemma":0.0000054529683,"threshold_uncertainty_score":0.751156},"labels":[],"label_agreement":null},{"id":"W4415281333","doi":"10.1029/2024wr038263","title":"Estimating Transmissivity in One‐Dimensional Heterogeneous Aquifers With Groundwater Head Data: From Time or Frequency Perspectives","year":2025,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Groundwater flow and contamination 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":false,"ca_institutions":"University of Waterloo","funders":"High-end Foreign Experts Recruitment Plan of China; Guangxi Key Research and Development Program; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Aquifer; Amplitude; Groundwater; Head (geology); Hydraulic head; Forcing (mathematics); Convolution (computer science); Boundary (topology); Phase (matter)","score_opus":0.06680610887857542,"score_gpt":0.3283755928927751,"score_spread":0.2615694840141997,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415281333","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99470425,0.00015456106,0.001101863,0.0014765665,0.000029285422,0.00037193592,0.000023867622,0.000044818597,0.002092868],"genre_scores_gemma":[0.98231286,0.0000048868606,0.0025294372,0.00008598169,0.000045888188,0.00006749364,0.00006823448,0.000020214788,0.014865],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99678904,0.00041697323,0.00028304258,0.0008887473,0.0009187252,0.0007034628],"domain_scores_gemma":[0.9990146,0.00019917777,0.00002258133,0.0006236543,0.000043048603,0.00009694613],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009533122,0.00020994511,0.0002815192,0.00019361457,0.0004673431,0.0001971528,0.0007487194,0.000078127334,0.0024696216],"category_scores_gemma":[0.000034135977,0.00012498362,0.000032446147,0.00039405865,0.0006035921,0.00041159897,0.0009289613,0.00038191015,0.0006025438],"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":[0.004738203,0.004272053,0.46001825,0.00029806478,0.0011251791,0.0017214734,0.18731324,0.0133110825,0.24818762,0.000051009592,0.00420674,0.0747571],"study_design_scores_gemma":[0.01484615,0.0031110134,0.5981149,0.0020841032,0.000259315,0.00012004132,0.016929608,0.1682042,0.075407855,0.006453549,0.110532634,0.0039366316],"about_ca_topic_score_codex":0.009905353,"about_ca_topic_score_gemma":0.0065230057,"teacher_disagreement_score":0.17277975,"about_ca_system_score_codex":0.00031485443,"about_ca_system_score_gemma":0.000021871638,"threshold_uncertainty_score":0.99844223},"labels":[],"label_agreement":null},{"id":"W4415297003","doi":"10.1029/2025wr041119","title":"Vertical Sorting of Bed Material in Gravel‐Bed Streams‐‐ Insights From Long‐Term Observations in East Creek, British Columbia","year":2025,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Sediment Transport Processes","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":"University of British Columbia","funders":"Canada Foundation for Innovation; Natural Sciences and Engineering Research Council of Canada; Discovery Eye Foundation","keywords":"Sorting; Sediment; TRACER; Channel (broadcasting); Sediment transport; Hydrology (agriculture)","score_opus":0.033340561616985794,"score_gpt":0.2783034653979828,"score_spread":0.244962903780997,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415297003","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9983785,0.000040251583,0.000005019792,0.00018907139,0.000042882857,0.00029237714,0.000021717728,0.000017484748,0.0010126915],"genre_scores_gemma":[0.9990605,0.000011845889,0.000051835566,0.000045304103,0.000021568949,0.000054333606,0.000108911336,0.0000104709425,0.0006352017],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9978087,0.00025368252,0.00049144874,0.00043269803,0.00048474065,0.0005287645],"domain_scores_gemma":[0.99955744,0.000094794326,0.00002085671,0.0002272671,0.000022111099,0.000077548546],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00046697198,0.00008853204,0.00024539352,0.00010307233,0.00018605078,0.00017660011,0.00044600965,0.0001651401,0.0030099547],"category_scores_gemma":[0.00006462431,0.000104789324,0.000034881956,0.00050305546,0.0005355843,0.00018329664,0.00028166317,0.00036123066,0.000036801655],"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":[0.000106132684,0.00023535085,0.94394785,0.000039472463,0.000013082158,0.0001165666,0.0027370234,0.00009869928,0.051558357,0.0000021253693,0.000071491784,0.0010738279],"study_design_scores_gemma":[0.0007654442,0.00005918687,0.97829163,0.0001499757,0.000006356021,8.1709646e-7,0.00016592989,0.00024973124,0.018377205,0.0014555298,0.00037144058,0.00010675029],"about_ca_topic_score_codex":0.1596413,"about_ca_topic_score_gemma":0.5492974,"teacher_disagreement_score":0.3896561,"about_ca_system_score_codex":0.00009187108,"about_ca_system_score_gemma":0.000020711972,"threshold_uncertainty_score":0.99790144},"labels":[],"label_agreement":null},{"id":"W4415399991","doi":"10.1029/2024wr039424","title":"Downstream Willingness to Pay for Upstream Nature‐Based Solutions to Improve Water Security in a Thirsty Brazilian Megacity","year":2025,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","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":"University of Waterloo","funders":"Queen Elizabeth Scholars; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Willingness to pay; Upstream (networking); Megacity; Water security; Contingent valuation; Water scarcity; Food security; Payment; Downstream (manufacturing); Metropolitan area","score_opus":0.0707580827546097,"score_gpt":0.3018321366558553,"score_spread":0.23107405390124558,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415399991","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98384064,0.00007611638,0.0011071983,0.0087397965,0.00020834523,0.001338563,0.0002501879,0.0000265263,0.004412614],"genre_scores_gemma":[0.9947055,0.000008988336,0.0003360641,0.00064016925,0.00008586563,0.0006419743,0.00009330372,0.000023879202,0.0034642285],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9975759,0.00007453161,0.00054268166,0.0007677772,0.00009691408,0.0009421945],"domain_scores_gemma":[0.99912834,0.000104651306,0.000033121843,0.00051881163,0.00004387946,0.00017117357],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0029223745,0.00018019536,0.00034022902,0.0006694019,0.0003616284,0.00017435827,0.00045560356,0.00024330214,0.00025746584],"category_scores_gemma":[0.00013400111,0.0001325002,0.00011824661,0.00027648153,0.00008499644,0.0001576244,0.00035471885,0.0004991415,0.0008119994],"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":[0.0013539629,0.0017108797,0.9035643,0.00063271925,0.00023442919,0.00000991745,0.03513399,0.011808961,0.011775873,0.016994974,0.008315574,0.008464416],"study_design_scores_gemma":[0.0033230616,0.000603086,0.12916389,0.00012863344,0.000012084012,7.985335e-7,0.001023899,0.013563147,0.13873556,0.0923787,0.62016255,0.00090457866],"about_ca_topic_score_codex":0.0011546656,"about_ca_topic_score_gemma":0.00083124125,"teacher_disagreement_score":0.7744004,"about_ca_system_score_codex":0.0005478305,"about_ca_system_score_gemma":0.000017271797,"threshold_uncertainty_score":0.99996597},"labels":[],"label_agreement":null},{"id":"W4415674348","doi":"10.1029/2025wr040588","title":"Multi‐Domain Reactive Transport Modeling of GHG Emissions From Macroporous Agricultural Soils With a Focus on N <sub>2</sub> O Hotspots and Hot Moments","year":2025,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Soil Carbon and Nitrogen Dynamics","field":"Agricultural and Biological Sciences","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":"Agriculture and Agri-Food Canada; University of British Columbia","funders":"Agriculture and Agri-Food Canada","keywords":"Greenhouse gas; Soil water; Hotspot (geology); Agriculture; Soil carbon; Saturation (graph theory); Paddy field; Climate change; Crop residue","score_opus":0.02791435896645708,"score_gpt":0.2648439632359161,"score_spread":0.236929604269459,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415674348","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99798936,0.0001370551,0.0000068148224,0.0006767492,0.000018548537,0.00038286526,0.00009532695,0.000039897444,0.0006533819],"genre_scores_gemma":[0.9994682,0.000078159734,0.000081223254,0.000030866897,0.00004537016,0.000044491517,0.00007752863,0.0000030402562,0.00017109951],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99780965,0.00021520052,0.00026164687,0.0005148718,0.00064366654,0.0005549761],"domain_scores_gemma":[0.9993168,0.00017157299,0.000040683073,0.00010391239,0.00018549144,0.00018155141],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040480876,0.00020970429,0.0002893175,0.0000787869,0.00033720263,0.00006333808,0.00027863603,0.00015380682,0.000018181769],"category_scores_gemma":[0.000020888823,0.00006718257,0.00008400757,0.00045295656,0.00019718167,0.00007398769,0.00012482125,0.00040902157,0.0000062001754],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008526051,0.00020319287,0.009792238,0.000012572753,0.00008073158,0.00003291239,0.0024104419,0.00014518715,0.98136115,0.000011080771,0.000014592365,0.0050832983],"study_design_scores_gemma":[0.001828062,0.0010564633,0.36065748,0.0004665708,0.00004665641,0.000011936533,0.012163662,0.015655005,0.6057517,0.0015408221,0.00025766488,0.0005640195],"about_ca_topic_score_codex":0.0041280948,"about_ca_topic_score_gemma":0.0019354235,"teacher_disagreement_score":0.3756095,"about_ca_system_score_codex":0.00006237015,"about_ca_system_score_gemma":0.0000113296755,"threshold_uncertainty_score":0.62404716},"labels":[],"label_agreement":null},{"id":"W4415951544","doi":"10.1029/2025wr039997","title":"Computing Groundwater Recharge and Saturated Storage Dynamics: A Richards Equation‐Based Recipe","year":2025,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Groundwater flow and contamination 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":"Institut National de la Recherche Scientifique","funders":"Ministry of Energy, Israel; NextGenerationEU; Ministry of Education, India; Agence Nationale de la Recherche","keywords":"Groundwater recharge; Discretization; Water table; Groundwater; Richards equation; Aquifer; Conservation of mass; Flow (mathematics); Groundwater model","score_opus":0.03749950289201362,"score_gpt":0.3082481122211845,"score_spread":0.2707486093291709,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415951544","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97523093,0.00008747967,0.015129804,0.0025543165,0.00009855071,0.00036978256,0.000005040727,0.00007958736,0.006444492],"genre_scores_gemma":[0.9658497,0.000007772324,0.00031873523,0.00023368179,0.000033215965,0.0000428577,0.000040978295,0.000015774864,0.03345726],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99733907,0.0005083229,0.00028108055,0.0005333175,0.00068866403,0.00064953766],"domain_scores_gemma":[0.99929994,0.00018619013,0.000029479006,0.00031085548,0.00008322794,0.00009032125],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001974699,0.00017599727,0.0002024107,0.0002944765,0.00085224793,0.00030638653,0.00033159775,0.000099813384,0.0005207138],"category_scores_gemma":[0.00006883884,0.00012278902,0.000042815023,0.0005683112,0.0003942277,0.00017884355,0.0008093797,0.00037416484,0.00039314938],"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":[0.0008555569,0.0008972801,0.40837222,0.00049060595,0.0003795384,0.00017508685,0.05200818,0.0024670444,0.09376428,0.001259048,0.018104747,0.4212264],"study_design_scores_gemma":[0.0027324774,0.00041705376,0.18158074,0.00022659589,0.000043237313,0.000008932686,0.0035300963,0.34691468,0.021667505,0.0015722137,0.44043192,0.0008745599],"about_ca_topic_score_codex":0.0011782746,"about_ca_topic_score_gemma":0.00034884227,"teacher_disagreement_score":0.42232716,"about_ca_system_score_codex":0.0004410983,"about_ca_system_score_gemma":0.000009331132,"threshold_uncertainty_score":0.6554888},"labels":[],"label_agreement":null},{"id":"W4416026658","doi":"10.1029/2025wr040446","title":"Observational Evidences in the Effects of Large‐Scale Reforestation on Precipitation","year":2025,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Okanagan University College; University of British Columbia, Okanagan Campus; University of British Columbia","funders":"National Natural Science Foundation of China","keywords":"Reforestation; Precipitation; Vegetation (pathology); Forest cover; Plateau (mathematics); Climate change; Deforestation (computer science); Loess plateau","score_opus":0.029168021095902295,"score_gpt":0.3238291688710066,"score_spread":0.2946611477751043,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416026658","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9890109,0.000022935494,0.000043914533,0.0011088906,0.000033308832,0.00032845826,0.000003708196,0.0000059121166,0.009442016],"genre_scores_gemma":[0.9977321,0.00002190226,0.000075978474,0.000085983236,0.000009075656,0.00007436402,0.000032249118,0.0000031104491,0.0019652427],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9983558,0.00043240096,0.00016922175,0.0001705646,0.0006449717,0.00022705314],"domain_scores_gemma":[0.9992415,0.00052406115,0.00002077648,0.00017916257,0.000018701794,0.000015819913],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012528186,0.000056342968,0.00006781855,0.00014889774,0.00013258516,0.000038587623,0.00029993115,0.00004717975,0.000050916897],"category_scores_gemma":[0.00012330638,0.0000308367,0.000023523857,0.00045082564,0.00011835112,0.00011728311,0.000103073915,0.0001920068,0.00005879655],"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":[0.00020972839,0.00042449016,0.8942143,0.00019350818,0.00001702592,0.000018098492,0.047000207,0.02388353,0.024516415,0.0037191913,0.0015219863,0.0042815665],"study_design_scores_gemma":[0.00045294972,0.00023004707,0.93016326,0.0002177906,0.0000058528044,0.0000011360178,0.000740598,0.030560235,0.008478126,0.0148901725,0.014165681,0.00009415891],"about_ca_topic_score_codex":0.00024062152,"about_ca_topic_score_gemma":0.0004772566,"teacher_disagreement_score":0.046259608,"about_ca_system_score_codex":0.00008377847,"about_ca_system_score_gemma":0.0000056179038,"threshold_uncertainty_score":0.12574843},"labels":[],"label_agreement":null},{"id":"W4416593549","doi":"10.1029/2024wr039656","title":"A Comprehensive Framework for Integrating Diverse Model Performance Metrics in Calibration","year":2025,"lang":"en","type":"article","venue":"Water Resources Research","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":false,"ca_institutions":"University of Manitoba","funders":"University of Manitoba","keywords":"Calibration; Principal component analysis; Cluster analysis; Set (abstract data type); Residual; Range (aeronautics); Scalability; Watershed; Binary number","score_opus":0.0693097726068783,"score_gpt":0.344104192871555,"score_spread":0.2747944202646767,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416593549","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97641706,0.000030108558,0.016211696,0.0013711101,0.000036651218,0.0004778612,0.0000019718293,0.000021373233,0.005432164],"genre_scores_gemma":[0.99293804,0.000039918177,0.0036668677,0.00026932746,0.000013239159,0.00014669189,0.000006247155,0.000006219155,0.002913429],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987113,0.000119838296,0.00015982287,0.00029100967,0.0002623092,0.000455753],"domain_scores_gemma":[0.9995586,0.00020926779,0.000013869092,0.00016975749,0.000019750953,0.000028732698],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007163877,0.000090371446,0.00012450357,0.00029130626,0.00042887582,0.00004525458,0.00028087955,0.00008368886,0.00007035567],"category_scores_gemma":[0.00010309913,0.000062696665,0.000029285788,0.0005204471,0.00026410742,0.00015791389,0.00076097157,0.00031763472,0.00005663773],"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":[0.00073474454,0.0002671017,0.60241973,0.00040515387,0.000100173216,0.000015999662,0.04333088,0.31731257,0.0042631417,0.0042595123,0.008127404,0.018763581],"study_design_scores_gemma":[0.00050871,0.00012088587,0.008175643,0.000066753695,0.000008402586,1.945875e-7,0.0020292795,0.93343925,0.004917985,0.023038818,0.027539454,0.00015459766],"about_ca_topic_score_codex":0.00021672895,"about_ca_topic_score_gemma":0.00007780791,"teacher_disagreement_score":0.6161267,"about_ca_system_score_codex":0.000119912096,"about_ca_system_score_gemma":0.0000030130582,"threshold_uncertainty_score":0.32986093},"labels":[],"label_agreement":null},{"id":"W4416777298","doi":"10.1029/2025wr040212","title":"Out of the Forest and Into the Concrete Jungle: Challenges, Opportunities, and Innovations in Urban Hydrology","year":2025,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Urban Stormwater Management Solutions","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":"The Scarborough Hospital; Toronto Metropolitan University; University of Toronto","funders":"","keywords":"Context (archaeology); Urbanization; Conceptual framework; Population; Urban planning; Citizen journalism; Participatory action research; Field (mathematics); Investment (military)","score_opus":0.08120949271490718,"score_gpt":0.2975259248070565,"score_spread":0.2163164320921493,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416777298","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95139384,0.0005717831,0.000005008703,0.024482263,0.000035557514,0.00036552563,0.000001859465,0.000008154786,0.023136025],"genre_scores_gemma":[0.98868376,0.00026584906,0.000016956474,0.00016228504,0.000010444795,0.000046143407,0.000002681637,0.0000062734744,0.010805579],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99863327,0.00033703857,0.00019414948,0.00022870148,0.00029018652,0.0003166408],"domain_scores_gemma":[0.9994234,0.00012299858,0.000023330236,0.0003821512,0.000016668439,0.000031467393],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012786986,0.00007902785,0.00010124867,0.00016230256,0.0003375154,0.00003581547,0.0004276917,0.000052765703,0.00006787907],"category_scores_gemma":[0.000052960768,0.00004177554,0.000014172212,0.0002853874,0.0016784086,0.000083121755,0.0017548649,0.00026430326,0.0000105072095],"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":[0.00009269592,0.00007039448,0.7229275,0.00019867458,0.000119578384,0.00001825556,0.19988158,0.0002019144,0.010396649,0.032706954,0.021967933,0.011417826],"study_design_scores_gemma":[0.00036998882,0.00006392828,0.20344512,0.000032732296,0.000009555521,0.0000011123049,0.0031538098,0.0008831237,0.00044040979,0.004800861,0.7867109,0.0000884219],"about_ca_topic_score_codex":0.0022736185,"about_ca_topic_score_gemma":0.0047609294,"teacher_disagreement_score":0.76474303,"about_ca_system_score_codex":0.000072856856,"about_ca_system_score_gemma":0.000008186414,"threshold_uncertainty_score":0.6184166},"labels":[],"label_agreement":null},{"id":"W4416910141","doi":"10.1029/2025wr041058","title":"Water Resources Planning Under Deep Uncertainty and Multiple Criteria–An Example in the Senegal River Basin","year":2025,"lang":"en","type":"article","venue":"Water Resources Research","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 Laval","funders":"","keywords":"Flexibility (engineering); Robustness (evolution); Water resources; Analytic hierarchy process; Drainage basin; Downside risk; Process (computing); Climate change","score_opus":0.05514212851015168,"score_gpt":0.3016502296963336,"score_spread":0.2465081011861819,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416910141","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9919607,0.00024948647,0.0007647435,0.00064209127,0.00007948675,0.00053520483,0.0000033090398,0.00015986072,0.0056051225],"genre_scores_gemma":[0.9978468,0.000028277496,0.00019317956,0.00024866406,0.00014042218,0.00006576232,0.000088291796,0.00004807014,0.0013405681],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99688995,0.00068000675,0.00035052845,0.0005007273,0.00057960366,0.0009991719],"domain_scores_gemma":[0.9990741,0.00021238188,0.00001233032,0.0005406062,0.00006590404,0.00009467575],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019376253,0.00027200847,0.000252897,0.0007731322,0.00045541575,0.0007412397,0.00066832267,0.00014892258,0.000088953275],"category_scores_gemma":[0.000020119809,0.00015685237,0.00004872176,0.00039512163,0.00028345516,0.00030920087,0.00042411734,0.00056266657,0.000038249786],"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":[0.00030628263,0.00010827105,0.015341369,0.0003605368,0.000113301576,0.000084814725,0.19859143,0.77453864,0.0065145576,0.00008551282,0.0015301632,0.0024251426],"study_design_scores_gemma":[0.001721669,0.00012952293,0.018068727,0.00016646646,0.000028968601,0.0000061787064,0.013736842,0.5298398,0.0062125954,0.0015346836,0.42801094,0.00054356793],"about_ca_topic_score_codex":0.0020559072,"about_ca_topic_score_gemma":0.000382052,"teacher_disagreement_score":0.42648077,"about_ca_system_score_codex":0.0000925832,"about_ca_system_score_gemma":0.0000030128722,"threshold_uncertainty_score":0.71477914},"labels":[],"label_agreement":null},{"id":"W4417074201","doi":"10.1029/2024wr039276","title":"The Impact of Climate and Land Cover Change on the Cryosphere and Hydrology of the Mackenzie River Basin, Canada","year":2025,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Climate change and permafrost","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":"Global Institute for Water Security; University of Calgary; University of Saskatchewan","funders":"Global Water Futures; Canada Excellence Research Chairs, Government of Canada; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Permafrost; Baseflow; Hydrology (agriculture); Cryosphere; Surface runoff; Evapotranspiration; Climate change; Drainage basin; Land cover; Water cycle","score_opus":0.04600214705679544,"score_gpt":0.2909890505845119,"score_spread":0.24498690352771646,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4417074201","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9896814,0.0012861885,1.4631065e-8,0.003999655,0.000045365854,0.0002447187,0.0010942817,0.0000016459463,0.0036466809],"genre_scores_gemma":[0.9978759,0.0013534672,2.699261e-7,0.00023569164,0.00003733965,0.0000030167566,0.00003941369,0.000002459831,0.00045242754],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987077,0.00034595228,0.00012695212,0.00014334233,0.00029292834,0.00038310455],"domain_scores_gemma":[0.99882084,0.00078919943,0.000030196126,0.00026015367,0.00005262459,0.0000469626],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008039233,0.00008525633,0.00012844539,0.000032828568,0.000467401,0.00005285437,0.00030113803,0.000045839617,0.0010421629],"category_scores_gemma":[0.000041017254,0.000028946648,0.000034264172,0.00015318814,0.00063394645,0.000030363093,0.00013067553,0.00021456307,0.000005827508],"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":[0.00020935714,0.000005235589,0.99230707,0.000037484184,0.000029649096,0.0000034592342,0.0020429054,0.000036030502,0.00009715546,0.000012684972,0.0032010404,0.0020179385],"study_design_scores_gemma":[0.00018200917,0.00013115996,0.95001286,0.000038942624,0.0000060491643,0.0000038095363,0.00025952948,0.0012056143,0.0004808399,0.00023504856,0.04739973,0.00004443209],"about_ca_topic_score_codex":0.8163178,"about_ca_topic_score_gemma":0.80740386,"teacher_disagreement_score":0.04419869,"about_ca_system_score_codex":0.0000075803487,"about_ca_system_score_gemma":0.000037940754,"threshold_uncertainty_score":0.999871},"labels":[],"label_agreement":null},{"id":"W4417074936","doi":"10.1029/2025wr039984","title":"Low‐Rank Geostatistical Inversion for Spatiotemporal Heterogeneity of Aquitard Hydraulic Parameters","year":2025,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Soil Geostatistics and Mapping","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 Waterloo","funders":"National Natural Science Foundation of China-Yunnan Joint Fund","keywords":"Hydrogeology; Aquifer; Inversion (geology); Geostatistics; Hydraulic conductivity; Spatial variability; Spatial distribution; Principal component analysis; Spatial heterogeneity","score_opus":0.04586414134262221,"score_gpt":0.3315299442608602,"score_spread":0.28566580291823795,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4417074936","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98820734,0.000020485486,0.007547378,0.00058407005,0.00006809994,0.00048913073,0.000047164638,0.000016355942,0.0030199836],"genre_scores_gemma":[0.99466765,0.000009994902,0.0041180425,0.00012348552,0.000014984142,0.000052146122,0.00005067231,0.000011628719,0.0009513698],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99805224,0.00017953356,0.00027545876,0.00037119194,0.00056081277,0.00056075706],"domain_scores_gemma":[0.9991585,0.00035629046,0.000030060612,0.00030203225,0.000040104063,0.00011300035],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001017779,0.00011243418,0.00018590761,0.0001476736,0.00024341642,0.000050317878,0.00034662147,0.00007970663,0.00019642944],"category_scores_gemma":[0.00022889228,0.00008615876,0.0000677763,0.00023838626,0.0005379813,0.000060192182,0.0005354593,0.00017594581,0.0001127821],"study_design_candidate":"bench_or_experimental","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":[0.0031860338,0.0013684611,0.30481786,0.0023677745,0.000439054,0.00011655263,0.017842742,0.010315966,0.19166698,0.0026222288,0.11416046,0.3510959],"study_design_scores_gemma":[0.0027202317,0.001032533,0.058892578,0.0002420768,0.000053961136,0.0000033558076,0.00076715345,0.06729649,0.51882315,0.024555942,0.32499918,0.0006133265],"about_ca_topic_score_codex":0.0022906784,"about_ca_topic_score_gemma":0.00021386608,"teacher_disagreement_score":0.35048258,"about_ca_system_score_codex":0.0001116422,"about_ca_system_score_gemma":0.000011627519,"threshold_uncertainty_score":0.3513452},"labels":[],"label_agreement":null},{"id":"W7083316682","doi":"10.1029/2024wr038957","title":"Water Storage and Release in Permafrost Catchments: Insights From Hydrometrics, End‐Member Mixing, and Water Age Characterization","year":2025,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Image Processing and 3D Reconstruction","field":"Computer 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":"Global Water Futures; Natural Sciences and Engineering Research Council of Canada","keywords":"Permafrost; Snowmelt; Water storage; Surface runoff; Hydrology (agriculture); Snow; Soil water; Evapotranspiration; Tundra","score_opus":0.021425723972513692,"score_gpt":0.28050854679413556,"score_spread":0.25908282282162187,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7083316682","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9957312,0.00031978366,0.0018040363,0.0010003449,0.00018753984,0.00022205104,0.0000118066455,0.000058913465,0.0006643597],"genre_scores_gemma":[0.99452525,0.00008990442,0.00037268613,0.0001121934,0.000068031084,0.000032130876,0.0001990579,0.000014470968,0.0045862757],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9975442,0.00037141948,0.0003088317,0.00070246635,0.0004585058,0.0006145513],"domain_scores_gemma":[0.9992962,0.000058660433,0.00002149387,0.00038279284,0.000118642434,0.00012223584],"candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.00064562756,0.0001836627,0.00022498137,0.0012899073,0.00042762636,0.0010454066,0.0004143602,0.00013755172,0.000042056217],"category_scores_gemma":[0.000031538835,0.00010672419,0.000024631607,0.00044453156,0.00026810588,0.0007727393,0.0008861183,0.00046063348,0.000054429358],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000083762105,0.00014891259,0.018284056,0.00023163941,0.00004534424,0.00029634094,0.055738635,0.000012728018,0.8592247,0.000059380996,0.00009402564,0.06578051],"study_design_scores_gemma":[0.0015731432,0.00009343632,0.029623859,0.0002635167,0.000009562696,0.000030487372,0.00036601993,0.013756279,0.88876927,0.0034024802,0.061660264,0.000451684],"about_ca_topic_score_codex":0.00057464757,"about_ca_topic_score_gemma":0.00004404854,"teacher_disagreement_score":0.06532883,"about_ca_system_score_codex":0.00008224762,"about_ca_system_score_gemma":0.000019321655,"threshold_uncertainty_score":0.9999916},"labels":[],"label_agreement":null},{"id":"W7116412061","doi":"10.1029/2024wr039403","title":"Exploring the Impacts of Climate Change and Water Conservation Attitudes on Urban Water Supply in the Colorado River Basin","year":2025,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Water resources management and optimization","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":"United Nations University Institute for Water, Environment, and Health","funders":"John and Willie Leone Family Department of Energy and Mineral Engineering, College of Earth and Mineral Sciences, Pennsylvania State University; University of Pennsylvania; National Socio-Environmental Synthesis Center; Pennsylvania State University; U.S. Department of Energy; National Science Foundation","keywords":"Climate change; Demand management; Water conservation; Water resources; Phoenix; Water scarcity; Climate resilience; Drainage basin","score_opus":0.0975198526263663,"score_gpt":0.2884368187194069,"score_spread":0.1909169660930406,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7116412061","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9929493,0.00009411609,0.000006808362,0.0040254425,0.00006617917,0.0007744144,0.0000046322652,0.000047871115,0.0020312173],"genre_scores_gemma":[0.9986584,0.00048019513,0.000017308235,0.0002024913,0.00007557001,0.00025802484,0.000040222694,0.000025372123,0.0002423963],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.99804306,0.00034111415,0.0002698601,0.00022390827,0.00043866193,0.0006833689],"domain_scores_gemma":[0.99943066,0.00011939247,0.000010613529,0.00034855888,0.000056768502,0.000033995784],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001758265,0.00016935066,0.00017822093,0.0005083014,0.0002493529,0.00022905588,0.00040333756,0.000054268465,0.00003289847],"category_scores_gemma":[0.000012860052,0.00007006464,0.000039058934,0.00025671138,0.00020802605,0.00029916916,0.0002969862,0.00033143355,0.000041371968],"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":[0.0011320875,0.00033198873,0.36179262,0.0030090215,0.0003204613,0.00008698173,0.5779386,0.014357696,0.024237849,0.0011399859,0.0039365385,0.011716145],"study_design_scores_gemma":[0.0022316477,0.00043561123,0.4804114,0.000876738,0.000059881248,0.000003846328,0.0051292093,0.02159099,0.25891557,0.0004990757,0.22927101,0.0005750226],"about_ca_topic_score_codex":0.0004661562,"about_ca_topic_score_gemma":0.0001272307,"teacher_disagreement_score":0.5728094,"about_ca_system_score_codex":0.000052739455,"about_ca_system_score_gemma":0.0000014595199,"threshold_uncertainty_score":0.2857153},"labels":[],"label_agreement":null},{"id":"W7116728487","doi":"10.1029/2025wr040624","title":"Evaluating Winter Turbulent Heat Fluxes in a Hydrodynamic‐Ice Model of the Great Lakes","year":2025,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Arctic and Antarctic ice dynamics","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 Calgary; Environment and Climate Change Canada","funders":"","keywords":"Latent heat; Open water; Evaporation; Heat flux; Sensible heat; Turbulence; Sea ice","score_opus":0.052964192263728296,"score_gpt":0.3225620255977506,"score_spread":0.2695978333340223,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7116728487","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9886198,0.00010831226,0.00004790237,0.0023213224,0.00005719122,0.0002911431,0.00001528882,0.000011876284,0.008527154],"genre_scores_gemma":[0.99124485,0.000023318442,0.00019027584,0.00015982396,0.000026867578,0.0000045188804,0.00001655929,0.0000045013985,0.008329298],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9976164,0.00044416785,0.0003121863,0.00031152365,0.0007379819,0.0005777575],"domain_scores_gemma":[0.9991866,0.00026117475,0.000020905632,0.00037809188,0.000098848206,0.000054389195],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017826386,0.00012647375,0.00019129743,0.00024601512,0.00028101724,0.000064136,0.00065827614,0.0000767574,0.00037564494],"category_scores_gemma":[0.00010673714,0.00006687295,0.00008313296,0.0003937893,0.00037110448,0.00010446526,0.00016438728,0.00047788426,0.00004177509],"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":[0.0003101623,0.00006720601,0.50526965,0.00024661896,0.000051172956,0.00001297398,0.013500418,0.46515003,0.0032328777,0.00006269609,0.000201896,0.011894313],"study_design_scores_gemma":[0.00029825952,0.00007580577,0.02582394,0.00018400069,0.00000874295,0.000004393749,0.0008224981,0.96883404,0.00063642446,0.0024774212,0.0007439484,0.0000905336],"about_ca_topic_score_codex":0.0035241619,"about_ca_topic_score_gemma":0.0032125253,"teacher_disagreement_score":0.503684,"about_ca_system_score_codex":0.000025040477,"about_ca_system_score_gemma":0.000061886014,"threshold_uncertainty_score":0.5327502},"labels":[],"label_agreement":null},{"id":"W7117366481","doi":"10.1029/2024wr039476","title":"A Modified Hierarchical Vision Transformer for Soil Moisture Retrieval From CYGNSS Data","year":2025,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Soil Moisture and Remote Sensing","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":"Memorial University of Newfoundland","funders":"National Natural Science Foundation of China","keywords":"Water content; Robustness (evolution); Land cover; Linear regression; Transformer; Satellite; Vegetation (pathology); Data set","score_opus":0.05299048676892922,"score_gpt":0.3519132217731184,"score_spread":0.2989227350041892,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7117366481","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9415843,0.0001618563,0.00152001,0.006385618,0.00015082446,0.00064061215,0.000044738874,0.000055538596,0.049456492],"genre_scores_gemma":[0.9904944,0.000030965057,0.00065216026,0.0002809919,0.0002276595,0.000004452544,0.00027646613,0.000027285756,0.008005621],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.9967633,0.00028960765,0.0002864202,0.00088619447,0.0009644536,0.0008100377],"domain_scores_gemma":[0.9983658,0.00037224658,0.000017231581,0.0010516396,0.000032724194,0.00016033143],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001486595,0.00018556541,0.0002397656,0.00014283293,0.0005920366,0.0002368731,0.001164055,0.00024443291,0.00012981378],"category_scores_gemma":[0.00014289923,0.000115984534,0.00008933345,0.00040081752,0.00056513277,0.00018474132,0.00081111834,0.0006972311,0.00018283355],"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":[0.0048238803,0.00048259425,0.004954867,0.00014677289,0.00021548056,0.0000857653,0.01486419,0.0013392875,0.64056724,0.000089555804,0.06338284,0.26904753],"study_design_scores_gemma":[0.0021014535,0.0002530261,0.024594638,0.00014328744,0.000049284918,0.0000051652555,0.0005879237,0.030683538,0.07676053,0.011391251,0.85300326,0.00042663285],"about_ca_topic_score_codex":0.003928187,"about_ca_topic_score_gemma":0.0020240487,"teacher_disagreement_score":0.7896204,"about_ca_system_score_codex":0.00013249689,"about_ca_system_score_gemma":0.000019024785,"threshold_uncertainty_score":0.59382695},"labels":[],"label_agreement":null},{"id":"W7117681404","doi":"10.1029/2025wr040076","title":"Evaluating the Functional Realism of Deep Learning Rainfall‐Runoff Models Using Catchment Hydrology Principles","year":2025,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Watershed Management Studies","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":false,"ca_institutions":"Global Institute for Water Security; University of Saskatchewan; University of British Columbia","funders":"Canadian Statistical Sciences Institute; RES’EAU-WaterNET; Natural Sciences and Engineering Research Council of Canada","keywords":"Streamflow; Hydrological modelling; Evapotranspiration; Deep learning; Scalability; Robustness (evolution); Catchment hydrology; Stream flow","score_opus":0.1406599331562209,"score_gpt":0.37618174588540265,"score_spread":0.23552181272918174,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7117681404","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96991426,0.0001230051,0.0013240046,0.0023835981,0.00006115213,0.0003473846,5.9733753e-7,0.00002374393,0.025822273],"genre_scores_gemma":[0.991699,0.000029731256,0.00025600425,0.00015581472,0.000035643276,0.000064781336,0.0000063808943,0.000009605528,0.0077430424],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9970766,0.00091920834,0.00030186056,0.00039128112,0.0006983001,0.00061276567],"domain_scores_gemma":[0.9993106,0.00025015124,0.0000500647,0.00031431508,0.000036758658,0.000038116854],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004279228,0.00012741036,0.00017824398,0.00015843168,0.0011331072,0.000032559063,0.00043263411,0.000081538536,0.00048057854],"category_scores_gemma":[0.00009621501,0.0000747231,0.00005991774,0.0002777229,0.00093146105,0.00010024801,0.0018708057,0.00044880487,0.000058761827],"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":[0.00016931274,0.00004614024,0.025385678,0.000029235849,0.000108452004,0.000004557948,0.009782288,0.9494554,0.012186894,0.0005014334,0.00015376473,0.0021768797],"study_design_scores_gemma":[0.0006583101,0.00029617103,0.011528371,0.000032326167,0.00005395991,0.0000041026087,0.0015261706,0.93892425,0.004790426,0.013707127,0.028299868,0.00017891786],"about_ca_topic_score_codex":0.001498752,"about_ca_topic_score_gemma":0.000126677,"teacher_disagreement_score":0.028146103,"about_ca_system_score_codex":0.00013852463,"about_ca_system_score_gemma":0.0000070901397,"threshold_uncertainty_score":0.8715059},"labels":[],"label_agreement":null}]}