{"meta":{"query_hash":"b6d00eaa304d","filters":{"venue":"Journal of Water and Climate Change"},"cohort_total":71,"direct_labels_cover":0,"predictions_cover":71,"exported":71,"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/b6d00eaa304d","api":"https://metacan.xera.ac/api/v1/cohort?venue=Journal+of+Water+and+Climate+Change"},"results":[{"id":"W1862768027","doi":"10.2166/wcc.2014.136","title":"Effects of regional afforestation on global climate","year":2014,"lang":"en","type":"article","venue":"Journal of Water and Climate Change","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Natural Environment Research Council; Sight Research UK","keywords":"Afforestation; Environmental science; Global warming; Climate change; Northern Hemisphere; Carbon sequestration; Southern Hemisphere; Climatology; Latitude; Climate model; Agroforestry; Geography; Geology; Ecology; Oceanography","score_opus":0.010675269424197605,"score_gpt":0.21720566220774298,"score_spread":0.20653039278354537,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1862768027","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9982143,0.00002681525,0.00006131777,0.00020316629,0.00010366405,0.000058192305,0.000010487462,0.0000036086462,0.0013184694],"genre_scores_gemma":[0.99914616,0.00048836117,0.00014046728,0.00015055234,0.000055245466,0.0000017886942,0.000007105184,0.000004158463,0.000006137825],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99935955,0.000034760436,0.0001887686,0.00007175786,0.00018568587,0.00015949986],"domain_scores_gemma":[0.9997386,0.000023917704,0.00012071523,0.000048578317,0.000009441037,0.000058744554],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023255145,0.00007292055,0.00012615709,0.00002716402,0.00004353575,0.000013333581,0.00006358277,0.000038047285,0.000023936696],"category_scores_gemma":[0.000003947648,0.000044439246,0.000044778808,0.000037129623,0.00004580181,0.00015350453,0.00004506845,0.00005363406,0.000016521799],"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":[0.0012934915,0.00080731866,0.8617961,0.00080193963,0.00010374652,0.00013404843,0.0069337995,0.0025505887,0.05434841,0.013678151,0.0006224566,0.056929972],"study_design_scores_gemma":[0.0027200747,0.0018975832,0.96047676,0.00043709073,0.0001684573,0.00037620577,0.000094336065,0.012486346,0.0092930375,0.008318187,0.0033418823,0.0003900596],"about_ca_topic_score_codex":0.000011760045,"about_ca_topic_score_gemma":0.000012126008,"teacher_disagreement_score":0.09868066,"about_ca_system_score_codex":0.00003373262,"about_ca_system_score_gemma":7.9148896e-7,"threshold_uncertainty_score":0.18121798},"labels":[],"label_agreement":null},{"id":"W1968945096","doi":"10.2166/wcc.2013.072","title":"Assessing the spatio-temporal variation and uncertainty patterns of historical and future projected water resources in China","year":2013,"lang":"en","type":"article","venue":"Journal of Water and Climate Change","topic":"Climate variability and models","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 du Québec à Montréal","funders":"","keywords":"Precipitation; Surface runoff; Environmental science; Climatology; Climate change; Period (music); China; GCM transcription factors; Water resources; Climate model; General Circulation Model; Meteorology; Geography; Geology; Ecology","score_opus":0.026318333598412912,"score_gpt":0.24636965531382005,"score_spread":0.22005132171540714,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1968945096","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99571115,0.000062344036,0.000013173547,0.003919056,0.000076609045,0.00015810547,0.0000032273974,0.0000026540233,0.000053690917],"genre_scores_gemma":[0.9992709,0.0004523592,0.00007144021,0.00006769542,0.00011277516,0.000006464433,0.0000050629637,0.0000049132154,0.000008369561],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991999,0.000089771325,0.00029129122,0.00011038778,0.00014274196,0.00016587175],"domain_scores_gemma":[0.9997497,0.000021465145,0.000102687605,0.00006464177,0.000014425709,0.000047042464],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006017305,0.000085543434,0.00016635943,0.000041643758,0.00008043944,0.000075087075,0.0000568544,0.000056710694,0.00018248278],"category_scores_gemma":[0.0000047156723,0.000038706818,0.000021283697,0.000032197793,0.00004779945,0.0005441235,0.00011121871,0.00012273094,6.72559e-7],"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":[0.000048806553,0.000083896986,0.91832197,0.00010001798,0.000008114761,0.0000043926457,0.068218656,0.000021647194,0.007921164,0.0000052189084,0.000022687436,0.00524345],"study_design_scores_gemma":[0.00043094068,0.000117289295,0.9952358,0.000043464996,0.000020547868,0.000034930028,0.0010796476,0.0013398762,0.00030476588,0.00053126767,0.00078040856,0.000081031794],"about_ca_topic_score_codex":0.0025604933,"about_ca_topic_score_gemma":0.00018173411,"teacher_disagreement_score":0.07691388,"about_ca_system_score_codex":0.00007675288,"about_ca_system_score_gemma":0.000001326845,"threshold_uncertainty_score":0.3870717},"labels":[],"label_agreement":null},{"id":"W1974179980","doi":"10.2166/wcc.2014.121","title":"Continuous simulations of urban stormwater runoff and total suspended solids loads: influence of varying climatic inputs and catchment imperviousness","year":2014,"lang":"en","type":"article","venue":"Journal of Water and Climate Change","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":"Environment and Climate Change Canada","funders":"","keywords":"Surface runoff; Environmental science; Stormwater; Hydrology (agriculture); Total suspended solids; Climate change; Drainage basin; Suspended solids; Environmental engineering; Geology; Geography; Ecology; Geotechnical engineering","score_opus":0.01362835343176557,"score_gpt":0.22683064928602875,"score_spread":0.21320229585426317,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1974179980","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99915427,0.00011429308,0.000052597043,0.00020418174,0.00006370391,0.00018663959,0.000015357537,0.000006057661,0.00020289602],"genre_scores_gemma":[0.99946964,0.00019322139,0.00017650572,0.00006894324,0.000038992595,0.0000041880703,0.0000045073934,0.000011568849,0.00003244699],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987607,0.00005977393,0.00050547934,0.0001540812,0.00024219372,0.00027775546],"domain_scores_gemma":[0.99941635,0.0000396449,0.00026150094,0.00013817241,0.000035217392,0.00010913639],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040950443,0.00015044739,0.00034385687,0.00010550159,0.000109426124,0.000032784134,0.0001056351,0.000048249254,0.00010346131],"category_scores_gemma":[0.000008523371,0.00010431071,0.000041780437,0.00006138449,0.00021771084,0.00053612265,0.00032336268,0.00009123905,0.000002799307],"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":[0.00011592168,0.00021827937,0.8751892,0.00047351533,0.000093307484,0.000008926958,0.029489415,0.00094833464,0.09189611,0.00007968786,0.00008822998,0.0013991164],"study_design_scores_gemma":[0.0045474055,0.0018219495,0.9543457,0.0005449304,0.0005898032,0.00017523358,0.0011997626,0.006383753,0.027821856,0.001146823,0.00071135914,0.00071141525],"about_ca_topic_score_codex":0.00011481276,"about_ca_topic_score_gemma":0.000028185257,"teacher_disagreement_score":0.079156555,"about_ca_system_score_codex":0.000042638385,"about_ca_system_score_gemma":0.0000019940633,"threshold_uncertainty_score":0.42536673},"labels":[],"label_agreement":null},{"id":"W2028748142","doi":"10.2166/wcc.2013.121","title":"Potential ecological impact of climate change on the water quality of an intensively managed agricultural watershed in Quebec, Canada","year":2013,"lang":"en","type":"article","venue":"Journal of Water and Climate Change","topic":"Hydrology and Watershed 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":true,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"","keywords":"Environmental science; Watershed; Hydrology (agriculture); HadCM3; Temperate climate; Surface runoff; Water balance; Precipitation; Evapotranspiration; Water quality; Soil and Water Assessment Tool; Climate change; Total suspended solids; Streamflow; Drainage basin; Ecology; Environmental engineering; Geography; General Circulation Model; Meteorology","score_opus":0.028718949780565908,"score_gpt":0.24792788213743214,"score_spread":0.21920893235686623,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2028748142","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9926061,0.000011593167,2.4742175e-7,0.006655534,0.000118880074,0.00032827517,0.0000129837545,0.0000035602677,0.00026279863],"genre_scores_gemma":[0.9988559,0.00032255167,0.000006856261,0.0006810634,0.00006041138,0.000021815877,0.000012462759,0.0000065056906,0.000032444663],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9983118,0.00024484267,0.0005300058,0.00016875603,0.00025468384,0.0004899216],"domain_scores_gemma":[0.9995182,0.000030350908,0.00020295485,0.00012386542,0.000042079835,0.00008252993],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000696394,0.00018869752,0.00042538106,0.000059838047,0.00011118265,0.000022422751,0.00022566649,0.00007344183,0.00063880143],"category_scores_gemma":[0.00000891865,0.00006480769,0.000115384515,0.00005106435,0.0001956828,0.0004597448,0.00032008378,0.00019353484,0.000014800815],"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":[0.0020994025,0.0011360908,0.8700339,0.00035412118,0.00048166467,0.00032219497,0.041915912,0.000462097,0.07632271,0.00007032931,0.0023188603,0.004482674],"study_design_scores_gemma":[0.0005663753,0.00045218706,0.99318695,0.000026907783,0.000030178167,0.0000097974835,0.0020391734,0.000045332643,0.0033742364,0.00011560079,0.000029956871,0.00012331485],"about_ca_topic_score_codex":0.2947839,"about_ca_topic_score_gemma":0.2245574,"teacher_disagreement_score":0.123153,"about_ca_system_score_codex":0.00010326356,"about_ca_system_score_gemma":0.0000021303324,"threshold_uncertainty_score":0.7895924},"labels":[],"label_agreement":null},{"id":"W2032595231","doi":"10.2166/wcc.2012.006","title":"Climate change impacts on river basin and freshwater ecosystems: some observations on challenges and emerging solutions","year":2012,"lang":"en","type":"article","venue":"Journal of Water and Climate Change","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","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":"","keywords":"Climate change; Watershed; Drainage basin; Environmental resource management; Structural basin; Freshwater ecosystem; Environmental planning; Watershed management; Environmental science; Corporate governance; Water resource management; Geography; Ecosystem; Business; Ecology; Computer science; Geology","score_opus":0.09179456812581865,"score_gpt":0.26226764932721475,"score_spread":0.1704730812013961,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2032595231","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98697764,0.0024938225,7.1271995e-7,0.009526155,0.00031311924,0.00018523946,0.00002591796,0.000012884268,0.00046449326],"genre_scores_gemma":[0.9521222,0.046217613,0.00003635883,0.0012245082,0.00034258683,0.000022337916,0.000005400079,0.000013032944,0.000015959138],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987973,0.00007708118,0.00023303369,0.0001623631,0.00015477094,0.0005754385],"domain_scores_gemma":[0.999598,0.00003189593,0.000108067165,0.000095731535,0.000008825812,0.00015744008],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00067887444,0.00017866184,0.00024540556,0.0001099067,0.0003922784,0.000026798085,0.00006530989,0.00006651894,0.000078261844],"category_scores_gemma":[0.000005947957,0.000110466994,0.000039560076,0.000027915565,0.00013201243,0.00096475723,0.00027134997,0.00013312322,0.000042935506],"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":[0.00050427095,0.00082662713,0.78881127,0.00082015956,0.00034455088,0.00011155879,0.17082775,0.000013934196,0.0027902194,0.004267159,0.00272507,0.027957408],"study_design_scores_gemma":[0.0014146622,0.00088599144,0.96910244,0.0003996875,0.00020490642,0.000097095704,0.0022527506,0.00017367923,0.00067732105,0.00102539,0.023333242,0.0004328591],"about_ca_topic_score_codex":0.00005191278,"about_ca_topic_score_gemma":0.00021970217,"teacher_disagreement_score":0.18029112,"about_ca_system_score_codex":0.000037540245,"about_ca_system_score_gemma":3.7791784e-7,"threshold_uncertainty_score":0.4504713},"labels":[],"label_agreement":null},{"id":"W2067060262","doi":"10.2166/wcc.2013.063","title":"Managing water-related energy in future cities – a research and policy roadmap","year":2013,"lang":"en","type":"article","venue":"Journal of Water and Climate Change","topic":"Water-Energy-Food Nexus 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":"Simon Fraser University","funders":"California Energy Commission","keywords":"Viewpoints; Business; Environmental resource management; Environmental planning; Greenhouse gas; Environmental economics; Environmental science; Economics","score_opus":0.03854922894901869,"score_gpt":0.27012914183701575,"score_spread":0.23157991288799706,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2067060262","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9700906,0.0007976675,0.0000011111729,0.016959155,0.00013942004,0.000079376165,0.0000040691357,0.000009350051,0.011919215],"genre_scores_gemma":[0.9960212,0.0026515494,0.00002666349,0.00028513026,0.0003262905,0.000020369636,0.0000030668405,0.000017878945,0.00064782664],"study_design_codex":"bench_or_experimental","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9983767,0.00010927659,0.00033303426,0.0001908212,0.00031942595,0.0006707379],"domain_scores_gemma":[0.9996531,0.000016405267,0.00005224971,0.000104535786,0.000032704753,0.0001409982],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00054062676,0.0001588791,0.0002555429,0.00030221514,0.00021100091,0.00009390498,0.00015400468,0.000080379585,0.00031404407],"category_scores_gemma":[0.0000033768263,0.00008653261,0.000034867004,0.0001363613,0.00023627063,0.0006080184,0.00059966045,0.00020648024,0.00002974274],"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":[0.000777177,0.0010523377,0.14153849,0.00072822755,0.00050105865,0.0016793832,0.28951907,0.00007329593,0.35853368,0.02631525,0.011172466,0.16810957],"study_design_scores_gemma":[0.004749838,0.0025383322,0.19005024,0.00062789215,0.00006842786,0.0013412718,0.037346262,0.00057654554,0.0861654,0.64406604,0.031161945,0.0013077988],"about_ca_topic_score_codex":0.0028402982,"about_ca_topic_score_gemma":0.00060065737,"teacher_disagreement_score":0.61775076,"about_ca_system_score_codex":0.00010642758,"about_ca_system_score_gemma":0.0000020945404,"threshold_uncertainty_score":0.42937002},"labels":[],"label_agreement":null},{"id":"W2077895545","doi":"10.2166/wcc.2012.145","title":"The dynamics of faecal indicator organisms in a temperate river during storm conditions","year":2012,"lang":"en","type":"article","venue":"Journal of Water and Climate Change","topic":"Fecal contamination and water quality","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":"University of Regina","funders":"Interreg; European Regional Development Fund","keywords":"Storm; Tributary; Environmental science; Temperate climate; Drainage basin; Fecal coliform; Indicator bacteria; Hydrology (agriculture); Contamination; Stormwater; Water quality; Pollution; Ecology; Biology; Geography; Surface runoff; Meteorology","score_opus":0.021779591018356744,"score_gpt":0.25373021442431193,"score_spread":0.23195062340595518,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2077895545","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99897265,0.00004086574,0.0000075878584,0.0007030139,0.00010153582,0.000056487737,0.000010497052,0.0000020804598,0.00010524792],"genre_scores_gemma":[0.9996274,0.00014999547,0.000022943133,0.00007000588,0.000051978328,0.0000016197722,0.0000030799756,0.0000044846242,0.0000684559],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999335,0.00004949838,0.00023530905,0.00004568763,0.00014429055,0.00019023124],"domain_scores_gemma":[0.99973327,0.0000157947,0.00009657399,0.000051426243,0.0000074848313,0.0000954685],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046336334,0.000057634683,0.00010274639,0.00003320815,0.00009179753,0.000014985759,0.000081364386,0.000032427844,0.0002696693],"category_scores_gemma":[0.000005882157,0.000030556777,0.000028327742,0.00004249093,0.0001081917,0.00031761115,0.00008094647,0.00009699955,0.000021738544],"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":[0.00004491152,0.00009453057,0.96160644,0.000020241603,0.00000971745,0.0000046010164,0.019117909,0.0000010821848,0.017888186,0.00031906852,0.000040794952,0.0008524978],"study_design_scores_gemma":[0.00046103055,0.00004933034,0.98415667,0.000014329661,0.000009878525,0.000027189355,0.00089647353,0.000027039718,0.0139422985,0.00016569445,0.00019323779,0.000056827677],"about_ca_topic_score_codex":0.000067861954,"about_ca_topic_score_gemma":0.000173976,"teacher_disagreement_score":0.022550208,"about_ca_system_score_codex":0.000088598805,"about_ca_system_score_gemma":0.000002115939,"threshold_uncertainty_score":0.29526898},"labels":[],"label_agreement":null},{"id":"W2256842171","doi":"10.2166/wcc.2015.093","title":"Adaptation tipping points and opportunities for urban flood risk management","year":2015,"lang":"en","type":"article","venue":"Journal of Water and Climate Change","topic":"Sustainability and Climate Change Governance","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":"Victoria Park","funders":"Interreg","keywords":"Flood myth; Climate change; Adaptation (eye); Environmental resource management; Coping (psychology); Tipping point (physics); Environmental planning; Risk management; Business; Investment (military); Risk analysis (engineering); Flood risk management; Natural resource economics; Environmental science; Economics; Geography; Engineering; Finance; Ecology; Political science","score_opus":0.11210260216259944,"score_gpt":0.2579061212882242,"score_spread":0.14580351912562478,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2256842171","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9965872,0.00060373987,0.000103267244,0.00136758,0.0001405816,0.00019543995,0.000024286779,0.0000064862966,0.0009714254],"genre_scores_gemma":[0.98964316,0.008596285,0.00095768477,0.00042618948,0.0001787691,0.000025220517,0.0000069787707,0.00001278869,0.00015293491],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.99925387,0.000035942416,0.00020320438,0.0001123183,0.00017528895,0.0002193939],"domain_scores_gemma":[0.9996142,0.00001747507,0.00014438039,0.00006491614,0.000030555082,0.0001285164],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007551169,0.000092547,0.00013725285,0.000033751447,0.000098054945,0.00004495586,0.00006637492,0.000032026564,0.000045160108],"category_scores_gemma":[0.000013446604,0.00006432539,0.00003415871,0.000023030876,0.00006999575,0.0004519116,0.000117694086,0.000055628057,0.0000032862363],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.002314006,0.00063748006,0.1743813,0.0019125413,0.0002640553,0.00041790315,0.44581106,0.00011253131,0.0004336212,0.0020636742,0.009390205,0.36226162],"study_design_scores_gemma":[0.011741497,0.0035544932,0.096210346,0.00060028787,0.00082497083,0.00049936626,0.58791065,0.0050949706,0.0019558887,0.033992425,0.25628445,0.0013306519],"about_ca_topic_score_codex":0.000022101656,"about_ca_topic_score_gemma":0.000026879545,"teacher_disagreement_score":0.36093095,"about_ca_system_score_codex":0.00007936723,"about_ca_system_score_gemma":0.0000020438777,"threshold_uncertainty_score":0.2623113},"labels":[],"label_agreement":null},{"id":"W2260365734","doi":"10.2166/wcc.2015.053","title":"Reservoir management under predictable climate variability and change","year":2015,"lang":"en","type":"article","venue":"Journal of Water and Climate Change","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":true,"ca_institutions":"University of Guelph; Alberta Environment and Protected Areas","funders":"","keywords":"Streamflow; Snowmelt; Environmental science; Evapotranspiration; Precipitation; Climate change; Snow; Drainage basin; Watershed; Hydrology (agriculture); Water balance; Climatology; Water year; Water resources; Geography; Meteorology; Geology; Ecology","score_opus":0.05543390284305008,"score_gpt":0.2577387150771642,"score_spread":0.20230481223411415,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2260365734","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9854995,0.00023831226,0.000026306561,0.00422421,0.00027572838,0.00027371704,0.000007084069,0.00001659029,0.00943856],"genre_scores_gemma":[0.99423325,0.004305191,0.00024608124,0.0009321521,0.00013377366,0.000026226584,0.0000037852574,0.000009922389,0.00010963949],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988353,0.0000867678,0.00025638076,0.0001942501,0.00021894638,0.00040833],"domain_scores_gemma":[0.9995937,0.000014458423,0.000088129425,0.00012872655,0.000015042591,0.00015995077],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016041984,0.00013932008,0.00022269292,0.000056908142,0.00015928174,0.000035755427,0.000121278266,0.00005443639,0.00013648346],"category_scores_gemma":[0.0000050477997,0.0000862831,0.0000323823,0.00005517275,0.00016710584,0.0005690185,0.0007973806,0.00010861711,0.000036820955],"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":[0.0005995852,0.0003091095,0.9675131,0.00042858376,0.00020578719,0.0002149587,0.02166702,0.000058170524,0.00017474493,0.0006967905,0.0033189056,0.004813273],"study_design_scores_gemma":[0.0049055167,0.0014148633,0.9255831,0.00019146208,0.00055881304,0.0002086777,0.0047247144,0.00077207986,0.00040824767,0.017135642,0.04341335,0.0006834845],"about_ca_topic_score_codex":0.00003870077,"about_ca_topic_score_gemma":0.000024213332,"teacher_disagreement_score":0.041929923,"about_ca_system_score_codex":0.00005261055,"about_ca_system_score_gemma":6.250975e-7,"threshold_uncertainty_score":0.35185227},"labels":[],"label_agreement":null},{"id":"W2291911017","doi":"10.2166/wcc.2015.058","title":"Indigenous communities and climate change: a Recognition, Empowerment and Devolution (RED) framework in the Murray-Darling Basin, Australia","year":2015,"lang":"en","type":"article","venue":"Journal of Water and Climate Change","topic":"Indigenous Studies and Ecology","field":"Health Professions","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":"Indigenous; Livelihood; Devolution (biology); Empowerment; Climate change; Vulnerability (computing); Geography; Environmental planning; Political science; Environmental resource management; Sociology; Agriculture; Ecology; Law; Biology","score_opus":0.22386819495064997,"score_gpt":0.39831010046152077,"score_spread":0.1744419055108708,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2291911017","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.992771,0.0021867156,0.0000036611673,0.0034871835,0.0006309716,0.0006676159,0.00005014223,0.000008533018,0.00019414673],"genre_scores_gemma":[0.9747333,0.022421569,0.0001494117,0.0020159467,0.00052902097,0.0001069504,0.000022167711,0.000015483693,0.0000061705678],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.9978548,0.000490585,0.00053586136,0.00010529709,0.00015864744,0.00085477834],"domain_scores_gemma":[0.99910533,0.0001573051,0.0002601639,0.00010642492,0.00025086937,0.00011988034],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0027996763,0.00016738719,0.00037221375,0.00015913369,0.0017882201,0.000036354082,0.0001003863,0.00020382632,0.000048293772],"category_scores_gemma":[0.000027593467,0.000099462224,0.000031908097,0.00007066607,0.000096057694,0.00025262154,0.000219293,0.00069959735,0.000011561225],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017951784,0.0000707086,0.30460677,0.0002964801,0.000024801891,0.000035652716,0.6933328,8.71243e-8,0.000007740214,0.000048431677,0.00020502148,0.0011920204],"study_design_scores_gemma":[0.0020313782,0.001312985,0.30102736,0.0011117986,0.00013269417,0.0003260198,0.68630695,0.00001062857,0.000011337763,0.0033853003,0.0040621366,0.0002813875],"about_ca_topic_score_codex":0.0015799084,"about_ca_topic_score_gemma":0.007878271,"teacher_disagreement_score":0.020234853,"about_ca_system_score_codex":0.00012514855,"about_ca_system_score_gemma":0.000023110268,"threshold_uncertainty_score":0.9995113},"labels":[],"label_agreement":null},{"id":"W2317804013","doi":"10.2166/wcc.2012.019","title":"Evaluating technological resilience of small drinking water systems under the projected changes of climate","year":2012,"lang":"en","type":"article","venue":"Journal of Water and Climate Change","topic":"Water resources management and optimization","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":"University of Guelph","funders":"","keywords":"Climate change; Environmental science; Vulnerability (computing); Precipitation; Psychological resilience; Resilience (materials science); Population; Population growth; Climatology; Water resource management; Geography; Environmental resource management; Meteorology; Oceanography; Geology","score_opus":0.07121478444241897,"score_gpt":0.26913842049597175,"score_spread":0.1979236360535528,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2317804013","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99777925,0.0009698644,0.00034913793,0.00014663677,0.00020063552,0.00023113615,0.00000250613,0.00003090135,0.000289928],"genre_scores_gemma":[0.99793035,0.0015880975,0.00028009943,0.000013804869,0.0001451649,0.000012397119,0.0000048491265,0.000016481741,0.000008748679],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9989233,0.00006024693,0.00038153367,0.000066805536,0.0002022612,0.00036582182],"domain_scores_gemma":[0.99961764,0.00002178398,0.00013531826,0.00011128875,0.00008006253,0.00003389239],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011411632,0.000121944206,0.00024277458,0.00015913567,0.000063603,0.00003391209,0.00015842203,0.00006959751,0.0000125608685],"category_scores_gemma":[0.0000053881063,0.000055479017,0.000043308057,0.000081661514,0.000062743384,0.00018188554,0.000130017,0.00012468264,0.00000143502],"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":[0.000597521,0.0004773464,0.14394514,0.0100146085,0.0007934745,0.00003000231,0.08934783,0.09213352,0.62363887,0.0019350232,0.00006538938,0.03702128],"study_design_scores_gemma":[0.004145522,0.0021015862,0.045042314,0.0038496726,0.0012473072,0.0003947924,0.028749088,0.18396892,0.72584295,0.00034618034,0.002883067,0.0014286152],"about_ca_topic_score_codex":0.0000044985113,"about_ca_topic_score_gemma":0.00000393878,"teacher_disagreement_score":0.102204084,"about_ca_system_score_codex":0.00001821697,"about_ca_system_score_gemma":7.7713634e-7,"threshold_uncertainty_score":0.22623686},"labels":[],"label_agreement":null},{"id":"W2318890617","doi":"10.2166/wcc.2011.030","title":"Long-term dynamics of water-borne nitrogen, phosphorus and suspended solids in the lower Don River basin (Russian Federation)","year":2011,"lang":"en","type":"article","venue":"Journal of Water and Climate Change","topic":"Aquatic and Environmental Studies","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":"Environment and Climate Change Canada","funders":"","keywords":"Phosphorus; Phytoplankton; Environmental science; Nutrient; Nitrogen; Suspended solids; Drainage basin; Hydrology (agriculture); Algal bloom; Eutrophication; Oceanography; Ecology; Environmental engineering; Chemistry; Geology; Biology; Geography; Wastewater","score_opus":0.029505828137604013,"score_gpt":0.21100995533515776,"score_spread":0.18150412719755374,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2318890617","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99755615,0.00062063255,0.000013821743,0.0005292006,0.00009722691,0.000086119224,0.000018603767,0.0000014784131,0.00107675],"genre_scores_gemma":[0.9966577,0.00303542,0.000063374224,0.00015429914,0.000050930077,6.3413614e-7,0.000023155786,0.0000026925372,0.0000117567315],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999269,0.000044401782,0.00024614524,0.000084547086,0.00014423847,0.0002116574],"domain_scores_gemma":[0.9998014,0.000014976481,0.00007092529,0.000055166973,0.000008255497,0.000049282695],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003240937,0.00010259116,0.00018837795,0.000039102906,0.00012178761,0.000029631427,0.00008278391,0.000038553753,0.00072461314],"category_scores_gemma":[0.000001306582,0.000045806682,0.00003778165,0.000021851643,0.00013539633,0.00022487885,0.000025531368,0.00008880695,0.000009870679],"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":[0.00014761998,0.000056624718,0.982444,0.00002423332,0.000020152756,0.00006685407,0.011574856,8.4227844e-7,0.000020072779,0.000027700149,0.0000068193785,0.0056102383],"study_design_scores_gemma":[0.00045534925,0.00043675269,0.99486464,0.000032681786,0.00003945138,0.00010205528,0.0017411795,0.00016057704,0.0012570057,0.00078845996,0.000032831813,0.00008899488],"about_ca_topic_score_codex":0.00061419746,"about_ca_topic_score_gemma":0.0013763522,"teacher_disagreement_score":0.012420675,"about_ca_system_score_codex":0.0000059129693,"about_ca_system_score_gemma":0.0000016295559,"threshold_uncertainty_score":0.7934006},"labels":[],"label_agreement":null},{"id":"W2321776470","doi":"10.2166/wcc.2012.125","title":"Trends in rainfall intensity for stormwater designs in Ontario","year":2012,"lang":"en","type":"article","venue":"Journal of Water and Climate Change","topic":"Urban Stormwater Management Solutions","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":"University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Stormwater; Storm; Environmental science; Stormwater management; Hydrology (agriculture); Meteorology; Intensity (physics); Surface runoff; Climatology; Geography; Geology; Geotechnical engineering","score_opus":0.10174810716488955,"score_gpt":0.2636041207974475,"score_spread":0.16185601363255794,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2321776470","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9981172,0.000036083777,0.000049039663,0.00047161872,0.00022373587,0.00011616221,0.0000023737127,0.000003605377,0.0009801443],"genre_scores_gemma":[0.99876463,0.000024165938,0.00038737184,0.00024968194,0.000070604496,0.000014225995,0.0000061206356,0.000008425877,0.00047474934],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990606,0.000024136232,0.00027068012,0.00009177205,0.00011574564,0.00043710537],"domain_scores_gemma":[0.9997594,0.000008906023,0.00006420104,0.000071906135,0.0000070426336,0.000088591725],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007067193,0.00010059412,0.0001838329,0.00019306982,0.000041817377,0.000018136565,0.00009304402,0.000041995485,0.0005822605],"category_scores_gemma":[0.0000023709265,0.00006639405,0.000054758402,0.00006369579,0.000041703992,0.00069346704,0.0001307301,0.0001318181,0.000019055768],"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":[0.000099235425,0.00011757053,0.97931963,0.000007498675,0.000006641646,0.000008769953,0.01731544,0.0000061338283,0.001305984,0.000009210368,0.000820817,0.0009830679],"study_design_scores_gemma":[0.00082044513,0.000125129,0.9829848,0.000020683827,0.00002106153,0.000023723602,0.00026336804,0.000028188366,0.0004883906,0.00010821628,0.014999008,0.0001169787],"about_ca_topic_score_codex":0.0045280424,"about_ca_topic_score_gemma":0.060370617,"teacher_disagreement_score":0.055842575,"about_ca_system_score_codex":0.0003893016,"about_ca_system_score_gemma":0.000001321042,"threshold_uncertainty_score":0.9567752},"labels":[],"label_agreement":null},{"id":"W2324019542","doi":"10.2166/wcc.2011.055","title":"Uncertainty of climate change and its impact on reference evapotranspiration in Rasht City, Iran","year":2011,"lang":"en","type":"article","venue":"Journal of Water and Climate Change","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":9,"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":"HadCM3; Evapotranspiration; Climate change; Environmental science; Climatology; General Circulation Model; Climate model; Global warming; Meteorology; Geology; Geography","score_opus":0.09335350616952069,"score_gpt":0.2759259528974355,"score_spread":0.18257244672791478,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2324019542","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9978455,0.00010063267,0.0000016659686,0.000077168756,0.00004933569,0.00013908431,0.00006573914,0.0000035828555,0.0017173234],"genre_scores_gemma":[0.9951576,0.0046943305,0.000023316283,0.00006924234,0.000027376018,0.0000054366515,0.000011502678,0.000007011842,0.0000041861435],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99912375,0.000044195025,0.00030588446,0.00011972923,0.0001668726,0.00023959219],"domain_scores_gemma":[0.9996859,0.000011065258,0.00013803077,0.000068380534,0.000012808348,0.00008383229],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004148256,0.00012369103,0.00021061799,0.0001009093,0.000043920525,0.000014692102,0.0000842627,0.00007162881,0.00020046132],"category_scores_gemma":[0.0000021402477,0.000073924566,0.000041615545,0.00006874769,0.000042712825,0.00039984935,0.000058654736,0.00013608437,0.000006584386],"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":[0.00077269174,0.00028798144,0.94729656,0.00013995176,0.000026207475,0.000070150505,0.023361402,0.00024014915,0.015935067,0.00022269059,0.0000031910465,0.011643985],"study_design_scores_gemma":[0.0012565012,0.0011537941,0.9868788,0.00028350245,0.000056846213,0.0001087935,0.000136375,0.006192307,0.0030116532,0.0006151171,0.000060749222,0.00024555207],"about_ca_topic_score_codex":0.00019278475,"about_ca_topic_score_gemma":0.0002617923,"teacher_disagreement_score":0.03958228,"about_ca_system_score_codex":0.000045984336,"about_ca_system_score_gemma":0.0000013670057,"threshold_uncertainty_score":0.30145565},"labels":[],"label_agreement":null},{"id":"W2343700254","doi":"10.2166/wcc.2015.102","title":"Variations of disinfection by-product levels in small drinking water utilities according to climate change scenarios: a first assessment","year":2015,"lang":"en","type":"article","venue":"Journal of Water and Climate Change","topic":"Water Treatment and Disinfection","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":"Université Laval","funders":"","keywords":"Haloacetic acids; Environmental science; Climate change; Water quality; Surface runoff; Surface water; Water treatment; Filtration (mathematics); Groundwater; Environmental engineering; Hydrology (agriculture); Ecology; Mathematics","score_opus":0.0832389328700236,"score_gpt":0.28340663483585393,"score_spread":0.20016770196583034,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2343700254","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99762636,0.00005582707,0.00011134866,0.0010489287,0.0003831588,0.00029184442,0.000019388644,0.000012464738,0.00045070046],"genre_scores_gemma":[0.9992653,0.00016244085,0.00022652766,0.00008435706,0.00017643717,0.000034875782,0.000019943565,0.000015347716,0.000014733098],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986952,0.00006418555,0.0004188842,0.00020146722,0.0002150019,0.000405263],"domain_scores_gemma":[0.99956775,0.000015018662,0.00012736804,0.00011667522,0.00003633632,0.00013686415],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008034126,0.00017167513,0.00027333281,0.00016765672,0.0001325459,0.00008159676,0.00008986017,0.00005098924,0.00010647709],"category_scores_gemma":[0.000008429342,0.00010516887,0.00006367046,0.00011075181,0.00003729777,0.00084027444,0.0002155804,0.00010439455,0.000018619849],"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":[0.00007309149,0.00027156775,0.9646215,0.00006486422,0.000020176412,0.000011490789,0.01914268,0.00007273815,0.011847323,0.000018727122,0.00004212587,0.0038137147],"study_design_scores_gemma":[0.003233039,0.0013310384,0.92958677,0.0005005766,0.00019727353,0.00013537108,0.0045557627,0.0006152206,0.056572173,0.001184053,0.0014960978,0.00059265643],"about_ca_topic_score_codex":0.00091802346,"about_ca_topic_score_gemma":0.0009339656,"teacher_disagreement_score":0.044724848,"about_ca_system_score_codex":0.0002579267,"about_ca_system_score_gemma":0.0000028444115,"threshold_uncertainty_score":0.42886618},"labels":[],"label_agreement":null},{"id":"W2489609242","doi":"10.2166/wcc.2016.139","title":"Long-term trends of climate change and its impact on crop growing season on Montreal Island","year":2016,"lang":"en","type":"article","venue":"Journal of Water and Climate Change","topic":"Plant responses to elevated CO2","field":"Agricultural and Biological Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McGill University","funders":"","keywords":"Climate change; Precipitation; Environmental science; Climatology; Geography; Term (time); Growing season; Trend analysis; Meteorology; Mathematics; Agronomy; Statistics; Ecology","score_opus":0.040349381488613376,"score_gpt":0.2647427322851121,"score_spread":0.2243933507964987,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2489609242","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9967424,0.00067346427,3.364584e-8,0.0017688926,0.000087631306,0.0000849433,0.0003956409,0.000010212833,0.00023677034],"genre_scores_gemma":[0.9866299,0.012724856,7.0493184e-7,0.00015937482,0.00042082102,0.000004347411,0.00001730797,0.000002461786,0.000040229723],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9988104,0.00008836512,0.00027185184,0.00017425553,0.00022746781,0.00042764895],"domain_scores_gemma":[0.9994121,0.00012781746,0.00019201661,0.000040140643,0.000057089233,0.00017079245],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003258401,0.00019980251,0.00033638897,0.00007633093,0.00010062116,0.000048941165,0.000121103534,0.00009618744,0.00017288256],"category_scores_gemma":[0.000009283542,0.00005119871,0.00011895754,0.00008539718,0.00003306507,0.00039178325,0.000065681554,0.000105742096,0.000007529553],"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":[0.0038748642,0.00018318466,0.09692845,0.00006503593,0.000068024405,0.00026148863,0.00082056544,1.9823572e-7,0.41065645,0.000023680894,0.00006082199,0.48705724],"study_design_scores_gemma":[0.00082597346,0.0029488627,0.975246,0.0005913988,0.00004769897,0.00019795932,0.00003865386,0.000009543335,0.019732961,0.000019033729,0.00016440237,0.00017751986],"about_ca_topic_score_codex":0.000032319,"about_ca_topic_score_gemma":0.00015462082,"teacher_disagreement_score":0.87831753,"about_ca_system_score_codex":0.000026492471,"about_ca_system_score_gemma":0.0000014316698,"threshold_uncertainty_score":0.20878229},"labels":[],"label_agreement":null},{"id":"W2501122965","doi":"10.2166/wcc.2016.119","title":"Welfare values of sustained urban water flows for recreational and cultural amenities under climate change","year":2016,"lang":"en","type":"article","venue":"Journal of Water and Climate Change","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Recreation; Welfare; Valuation (finance); Contingent valuation; Climate change; Willingness to pay; Natural resource economics; Geography; Revealed preference; Economics; Environmental science; Environmental resource management; Ecology; Econometrics; Microeconomics","score_opus":0.12902757488028557,"score_gpt":0.2446309637405757,"score_spread":0.11560338886029012,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2501122965","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9938697,0.0011442129,0.00005219708,0.0039413017,0.00018896977,0.00020010993,0.00028985835,0.0000042698703,0.00030934118],"genre_scores_gemma":[0.99154073,0.007622202,0.00016493622,0.00015577357,0.00031482798,0.000030461166,0.000039468698,0.000015563972,0.000116008916],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990551,0.000012482733,0.00050009857,0.00014194616,0.00003308542,0.0002573191],"domain_scores_gemma":[0.9995873,0.000021540292,0.00022741283,0.00006514491,0.000038043647,0.000060568662],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004757238,0.00012097848,0.00031683705,0.00011791215,0.00011277011,0.000036163594,0.00005828185,0.00006293901,0.00027311468],"category_scores_gemma":[0.000005662846,0.000068365625,0.00008529138,0.000011743439,0.00007079775,0.0006706268,0.000058063666,0.00003692141,0.000011175048],"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":[0.0012247193,0.0003347891,0.8285161,0.0012264488,0.00050095766,0.000008608388,0.049047936,0.000008874523,0.008362454,0.093348555,0.00054610445,0.016874444],"study_design_scores_gemma":[0.016071655,0.0032638886,0.81218046,0.0008962109,0.00034617173,0.00019161722,0.025518678,0.0010761445,0.021992577,0.08898506,0.027717358,0.0017602021],"about_ca_topic_score_codex":0.000012871882,"about_ca_topic_score_gemma":0.0000049499877,"teacher_disagreement_score":0.027171252,"about_ca_system_score_codex":0.00006571489,"about_ca_system_score_gemma":0.0000010821631,"threshold_uncertainty_score":0.29904145},"labels":[],"label_agreement":null},{"id":"W2540153569","doi":"10.2166/wcc.2016.153","title":"Assessment of climate change impact on crop yield and irrigation water requirement of two major cereal crops (rice and wheat) in Bhaktapur district, Nepal","year":2016,"lang":"en","type":"article","venue":"Journal of Water and Climate Change","topic":"Climate change impacts on agriculture","field":"Agricultural and Biological Sciences","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":"Athabasca University","funders":"","keywords":"Irrigation; Environmental science; Agronomy; Loam; Yield (engineering); Crop; Climate change; Crop yield; Fertilizer; Crop simulation model; Water scarcity; Deficit irrigation; Agricultural engineering; Agriculture; Irrigation management; Biology; Soil water; Ecology","score_opus":0.06181560059208803,"score_gpt":0.3066985847183375,"score_spread":0.24488298412624948,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2540153569","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9965094,0.0002632604,3.6726811e-7,0.002178354,0.00010161667,0.00032658599,0.00032017543,0.00000757479,0.0002926768],"genre_scores_gemma":[0.99302757,0.0064933617,0.00002277844,0.00012544853,0.0002754782,0.000014194899,0.000030378907,0.0000037459959,0.0000070378537],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9982276,0.00008534882,0.00062188995,0.0002432054,0.00030729562,0.0005146822],"domain_scores_gemma":[0.9991534,0.00009770592,0.00034296708,0.00006514105,0.00013720477,0.00020360512],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006423847,0.0002686084,0.0005168865,0.00008219216,0.0000883634,0.000056436933,0.00012598082,0.00011676775,0.00022394276],"category_scores_gemma":[0.000011353392,0.000069817506,0.000103363534,0.00011461486,0.0000954442,0.0005051592,0.00016477896,0.00014175865,0.0000013448115],"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":[0.00040416385,0.0002605328,0.17902061,0.00019379315,0.000034258606,0.000031203548,0.002112376,1.08281085e-7,0.79850084,0.00005212488,0.000027473563,0.019362511],"study_design_scores_gemma":[0.0012010984,0.0023044415,0.9557333,0.00066454464,0.00006579925,0.00009861631,0.0005831279,0.000008038398,0.0388988,0.00018789138,0.000045800072,0.00020852653],"about_ca_topic_score_codex":0.0004842012,"about_ca_topic_score_gemma":0.00054435496,"teacher_disagreement_score":0.7767127,"about_ca_system_score_codex":0.000075442265,"about_ca_system_score_gemma":0.0000027477884,"threshold_uncertainty_score":0.28470755},"labels":[],"label_agreement":null},{"id":"W2625898440","doi":"10.2166/wcc.2017.148","title":"Estimating evapotranspiration using the complementary relationship and the Budyko framework","year":2017,"lang":"en","type":"article","venue":"Journal of Water and Climate Change","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":14,"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":"Evapotranspiration; Eddy covariance; Evaporation; Mean squared error; Environmental science; Mathematics; Statistics; Meteorology; Ecology; Geography; Ecosystem; Biology","score_opus":0.06989536406655315,"score_gpt":0.29309894112761686,"score_spread":0.2232035770610637,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2625898440","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9948482,0.00008262507,0.0013697644,0.003186682,0.00014319044,0.000112636546,0.000007035719,0.0000022269828,0.00024762505],"genre_scores_gemma":[0.9974607,0.00010800566,0.0021013762,0.00019960786,0.00011518008,0.0000022569943,0.0000027698893,0.0000044762724,0.000005607687],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994443,0.00005315064,0.00018920573,0.00006116596,0.00013405687,0.00011813743],"domain_scores_gemma":[0.9996079,0.0000619247,0.00017112597,0.00012170872,0.000007424608,0.00002988807],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00072768854,0.00006336005,0.00009039168,0.000013159844,0.0009795873,0.00017319743,0.00013435399,0.00002902046,0.000041623127],"category_scores_gemma":[0.00001479042,0.000027224292,0.000029666908,0.000014063184,0.0002134849,0.00037116616,0.00010174128,0.00015632286,0.0000019659904],"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":[0.00012669031,0.000025911133,0.9678158,0.00003153767,0.00003725893,0.000014321134,0.019470876,0.0035635962,0.0009649302,0.0023342653,0.000015285947,0.005599535],"study_design_scores_gemma":[0.0020983694,0.000111893416,0.4280133,0.00025913672,0.00033053462,0.00053094677,0.0006006313,0.5301111,0.00015626059,0.036968887,0.00056615955,0.00025281942],"about_ca_topic_score_codex":0.00010361897,"about_ca_topic_score_gemma":0.00004918162,"teacher_disagreement_score":0.5398025,"about_ca_system_score_codex":0.00001796937,"about_ca_system_score_gemma":0.0000010114051,"threshold_uncertainty_score":0.75342923},"labels":[],"label_agreement":null},{"id":"W2745274847","doi":"10.2166/wcc.2017.016","title":"Impact of projected land conversion on water balance of boreal soils in western Newfoundland","year":2017,"lang":"en","type":"article","venue":"Journal of Water and Climate Change","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","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":"Memorial University of Newfoundland","funders":"","keywords":"Environmental science; Groundwater recharge; Surface runoff; Soil water; Infiltration (HVAC); Water balance; Hydrology (agriculture); Boreal; Groundwater; Soil science; Ecology; Geology; Aquifer; Geography","score_opus":0.05452340038114369,"score_gpt":0.28997659611166676,"score_spread":0.23545319573052306,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2745274847","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9984113,0.00012612702,1.1771251e-7,0.00022337341,0.0001769295,0.00009948777,0.0005209566,0.0000017921964,0.00043991624],"genre_scores_gemma":[0.99786705,0.0017422125,0.0000036862932,0.000035445897,0.00014074755,3.3528892e-7,0.00019289038,0.0000038080425,0.000013823682],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990846,0.000036250494,0.00032181205,0.00010138739,0.00017629098,0.00027967835],"domain_scores_gemma":[0.9994407,0.00002732458,0.00023833397,0.00014180213,0.00006891571,0.00008289313],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033729718,0.00012301982,0.00035292192,0.00013677219,0.000076688724,0.000050710452,0.00016612142,0.00006750551,0.00042375334],"category_scores_gemma":[0.0000056869862,0.000059417947,0.00008593347,0.00002147793,0.00007933152,0.0003718048,0.000027056702,0.00011311419,0.000009092195],"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":[0.00065164967,0.00003867688,0.99322844,0.0001209575,0.000018173016,0.000045296896,0.0031998965,0.000004945482,0.0019669745,1.8669066e-7,0.000018987517,0.0007058396],"study_design_scores_gemma":[0.0013135893,0.00096074614,0.9951945,0.00021829575,0.000018657405,0.000053260505,0.00008459947,0.00017892657,0.0018148172,0.000018044278,0.000056300833,0.00008824912],"about_ca_topic_score_codex":0.010679772,"about_ca_topic_score_gemma":0.0100043025,"teacher_disagreement_score":0.003115297,"about_ca_system_score_codex":0.0000073180195,"about_ca_system_score_gemma":0.000008534061,"threshold_uncertainty_score":0.9959082},"labels":[],"label_agreement":null},{"id":"W2761070365","doi":"10.2166/wcc.2017.097","title":"Assessment of climate change impact on rainfall for studying water availability in upper Mahanadi catchment, India","year":2017,"lang":"en","type":"article","venue":"Journal of Water and Climate Change","topic":"Climate variability and models","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":"","keywords":"Environmental science; Drainage basin; Forcing (mathematics); Climatology; Climate change; Hydrology (agriculture); Geography; Geology","score_opus":0.07307850613397998,"score_gpt":0.3376413408062164,"score_spread":0.2645628346722364,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2761070365","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99671316,0.000022376009,0.000004651134,0.0008386376,0.00023452642,0.00073545723,0.00014074007,0.0000050826084,0.0013053536],"genre_scores_gemma":[0.9983795,0.00097459997,0.00017593664,0.0002247048,0.00012860949,0.00006999049,0.000016452606,0.000019835608,0.00001032472],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9979341,0.000082999904,0.0006533477,0.0003057059,0.00031094858,0.0007128958],"domain_scores_gemma":[0.99897015,0.000059757782,0.00033955014,0.00041565704,0.000034735353,0.00018015168],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002650661,0.00024812148,0.0005356114,0.000119240816,0.0002896153,0.000105053194,0.0003402463,0.00011049324,0.0005838142],"category_scores_gemma":[0.00001693521,0.0001378303,0.0001991996,0.000028895876,0.00015744756,0.00078787794,0.00041445714,0.00021101271,0.000010480945],"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":[0.00026804913,0.00043066964,0.9816136,0.00019737241,0.000029569565,0.000014510158,0.008273648,0.000029979376,0.0069466783,0.000032651795,0.000018919676,0.0021443716],"study_design_scores_gemma":[0.0018736408,0.00094268523,0.9922272,0.00018087814,0.00005992044,0.000015509446,0.00038236062,0.00061179977,0.0026997593,0.00056643644,0.00020676524,0.00023302935],"about_ca_topic_score_codex":0.00055887725,"about_ca_topic_score_gemma":0.0002621346,"teacher_disagreement_score":0.010613635,"about_ca_system_score_codex":0.00029422386,"about_ca_system_score_gemma":0.000006264483,"threshold_uncertainty_score":0.6392357},"labels":[],"label_agreement":null},{"id":"W2765794824","doi":"10.2166/wcc.2017.033","title":"Decrease of the water recharge and identification of water recharge zones in the Alto Atoyac sub-basin, Oaxaca, as a result of climate change","year":2017,"lang":"en","type":"article","venue":"Journal of Water and Climate Change","topic":"Groundwater and Isotope Geochemistry","field":"Earth and Planetary Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Groundwater recharge; Impervious surface; Environmental science; Precipitation; Climate change; Hydrology (agriculture); Structural basin; Groundwater; Climatology; Geology; Geography; Aquifer; Meteorology; Ecology; Geomorphology; Oceanography","score_opus":0.03709338165021874,"score_gpt":0.2514672026853904,"score_spread":0.21437382103517166,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2765794824","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99612296,0.00045858874,7.6666083e-7,0.0024059215,0.00024529904,0.00027451507,0.00019058683,0.00000269339,0.00029870134],"genre_scores_gemma":[0.9949924,0.0045683845,0.00001546389,0.0001596683,0.00015532093,0.0000053383333,0.00005993902,0.0000068691033,0.000036644713],"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9981103,0.00016440662,0.0007629677,0.0001946752,0.00034323515,0.00042440929],"domain_scores_gemma":[0.99882954,0.000039420385,0.0004647207,0.0004104991,0.00015585552,0.00009993937],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022196635,0.0001844495,0.00040116665,0.00010406128,0.0002497095,0.00010336002,0.0004808939,0.000113540445,0.00018277206],"category_scores_gemma":[0.00004008334,0.000069458525,0.000120918914,0.000042720134,0.00021353476,0.0005745649,0.00010361602,0.00019665313,0.000010492212],"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":[0.0010645894,0.00019253601,0.7857156,0.0013678462,0.0000693207,0.000048933678,0.034194313,8.6287514e-7,0.16765583,0.00003637159,0.000083284074,0.009570541],"study_design_scores_gemma":[0.0009585706,0.00023868967,0.36632875,0.00031286327,0.00009649113,0.00016236771,0.0011061175,0.000043710614,0.6290475,0.0009333766,0.0006102165,0.00016136783],"about_ca_topic_score_codex":0.0011049622,"about_ca_topic_score_gemma":0.00041209726,"teacher_disagreement_score":0.4613917,"about_ca_system_score_codex":0.000004943161,"about_ca_system_score_gemma":0.000008667196,"threshold_uncertainty_score":0.28324366},"labels":[],"label_agreement":null},{"id":"W2798137013","doi":"10.2166/wcc.2018.117","title":"Assessment of the potential contribution of alternative water supply systems in two contrasting locations: Lilongwe, Malawi and Sharm El-Sheikh, Egypt","year":2018,"lang":"en","type":"article","venue":"Journal of Water and Climate Change","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":"Polytechnique Montréal","funders":"","keywords":"Water supply; Water scarcity; Natural resource economics; Resilience (materials science); Business; Scarcity; Environmental economics; Environmental planning; Environmental resource management; Water resource management; Water resources; Environmental science; Economics; Environmental engineering; Ecology","score_opus":0.01573629162724171,"score_gpt":0.2576721425793387,"score_spread":0.24193585095209696,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2798137013","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9971694,0.00026665017,0.0016850366,0.00014776566,0.00033491556,0.00023398687,0.000014183902,0.000005905592,0.00014217116],"genre_scores_gemma":[0.9992952,0.00038982884,0.000054297638,0.000014061294,0.00021074871,0.0000067954797,0.000012867656,0.000010244298,0.000006003034],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99916476,0.000045271034,0.00040560612,0.00006141983,0.00014769429,0.00017523987],"domain_scores_gemma":[0.99962837,0.000010185734,0.00012289625,0.00006137414,0.0001489065,0.000028291699],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039314976,0.00009398312,0.00021090824,0.00012235275,0.0000442596,0.000043745542,0.000083214545,0.00002701914,0.000015070217],"category_scores_gemma":[0.0000031829709,0.000050947332,0.000033326236,0.000044853256,0.00005430802,0.00023960325,0.00006618929,0.00008160519,4.105064e-7],"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":[0.00051063194,0.0004278109,0.5535125,0.0030908622,0.0009871408,0.0000563111,0.04092417,0.07617135,0.3163922,0.002353176,0.00013614619,0.005437658],"study_design_scores_gemma":[0.007190367,0.00064524985,0.33432934,0.0017392464,0.0004020234,0.000104522274,0.0026889232,0.4750267,0.17647275,0.0005227737,0.0004447315,0.00043340103],"about_ca_topic_score_codex":0.00004317571,"about_ca_topic_score_gemma":0.000018078774,"teacher_disagreement_score":0.39885533,"about_ca_system_score_codex":0.00003083312,"about_ca_system_score_gemma":0.0000016198529,"threshold_uncertainty_score":0.20775719},"labels":[],"label_agreement":null},{"id":"W2804091106","doi":"10.2166/wcc.2018.162","title":"Using the Mann–Kendall test and double mass curve method to explore stream flow changes in response to climate and human activities","year":2018,"lang":"en","type":"article","venue":"Journal of Water and Climate Change","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":104,"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":"Surface runoff; Environmental science; Hydrology (agriculture); Climate change; Dry season; Trend analysis; Drainage basin; Structural basin; Runoff curve number; Water resources; Period (music); Geography; Ecology; Mathematics; Geology; Biology; Statistics","score_opus":0.0960683840839013,"score_gpt":0.334683656994201,"score_spread":0.2386152729102997,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2804091106","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9936136,0.00004939834,0.00005349945,0.005765753,0.000072839466,0.00021272087,0.000009887791,0.000006051875,0.00021627375],"genre_scores_gemma":[0.9970368,0.0003855806,0.0015345119,0.0008386182,0.000123368,0.000017577619,7.8878236e-7,0.000011670927,0.000051092506],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990058,0.0001244994,0.00017823954,0.00019026325,0.00012500626,0.00037621454],"domain_scores_gemma":[0.9996736,0.00006545025,0.000062902116,0.00009383827,0.000009562404,0.00009463729],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014312932,0.00014698348,0.00022268441,0.00012594937,0.0003508132,0.000063450614,0.00010161832,0.000041946114,0.00006337948],"category_scores_gemma":[0.0000073205797,0.000083957115,0.000018531255,0.00007302161,0.00016790169,0.00026261213,0.000493331,0.00010115812,0.000005911234],"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":[0.0036446857,0.00015080773,0.607564,0.00014555275,0.00008579165,0.00016245374,0.15470424,0.00008468509,0.22697024,0.000025085898,0.00038779,0.006074668],"study_design_scores_gemma":[0.0060460465,0.0077384445,0.8106951,0.000662169,0.00038337047,0.00038434681,0.047083102,0.001098753,0.1022757,0.0014794096,0.020844689,0.0013088476],"about_ca_topic_score_codex":0.00008093884,"about_ca_topic_score_gemma":0.0006194453,"teacher_disagreement_score":0.20313114,"about_ca_system_score_codex":0.000037301867,"about_ca_system_score_gemma":7.5018545e-7,"threshold_uncertainty_score":0.34236717},"labels":[],"label_agreement":null},{"id":"W2807756573","doi":"10.2166/wcc.2018.205","title":"Adaptative strategy to mitigate impacts of repetitive flooding of residents in Thailand's Ayutthaya province","year":2018,"lang":"en","type":"article","venue":"Journal of Water and Climate Change","topic":"Flood Risk Assessment and Management","field":"Environmental Science","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Rajamangala University of Technology Thanyaburi","keywords":"Flooding (psychology); Flood myth; Geography; Preference; Socioeconomics; Quarter (Canadian coin); Architecture; Environmental planning; Business; Psychology; Sociology; Archaeology; Economics","score_opus":0.02821007526984086,"score_gpt":0.2811920256024211,"score_spread":0.25298195033258025,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2807756573","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99715304,0.000051604933,0.00001363003,0.00019573381,0.00007389807,0.00020178003,0.000010536194,0.0000020112652,0.0022977367],"genre_scores_gemma":[0.9990845,0.00046471518,0.00028866428,0.000049807193,0.000054542557,0.0000032772853,0.0000013431873,0.0000068429886,0.000046324087],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989839,0.000048673857,0.00036385408,0.000121647274,0.00025041238,0.00023151476],"domain_scores_gemma":[0.9995694,0.000014435453,0.0002201212,0.0000785883,0.00003176575,0.000085657],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000520148,0.0000975349,0.00022567573,0.00010279414,0.000031995238,0.000015971134,0.00012229197,0.00002784161,0.0001619167],"category_scores_gemma":[0.000009722413,0.00006235779,0.000037881906,0.000091461785,0.00009956861,0.00037903516,0.00018242159,0.00006805885,0.00000871011],"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":[0.0011750327,0.00045254114,0.73215735,0.00033414047,0.00011012352,0.00019423658,0.04894289,0.00012163207,0.20441458,0.00020956031,0.0005955696,0.01129232],"study_design_scores_gemma":[0.0010382467,0.0024944942,0.8517918,0.00051408535,0.000045029887,0.000011392013,0.003944932,0.000099559395,0.13943473,0.00038375586,0.000096660464,0.0001452931],"about_ca_topic_score_codex":0.00074200175,"about_ca_topic_score_gemma":0.0018621327,"teacher_disagreement_score":0.11963444,"about_ca_system_score_codex":0.000050122766,"about_ca_system_score_gemma":0.000006050712,"threshold_uncertainty_score":0.2542877},"labels":[],"label_agreement":null},{"id":"W2892229913","doi":"10.2166/wcc.2018.113","title":"Comparison of wavelet-based hybrid models for the estimation of daily reference evapotranspiration in different climates","year":2018,"lang":"en","type":"article","venue":"Journal of Water and Climate Change","topic":"Hydrological Forecasting Using AI","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":"Wavelet; Evapotranspiration; Discrete wavelet transform; Cascade algorithm; Mathematics; Wavelet transform; Statistics; Computer science; Artificial intelligence; Ecology","score_opus":0.1306074132280913,"score_gpt":0.3243194616523446,"score_spread":0.1937120484242533,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2892229913","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99500877,0.000036266385,0.0043425974,0.00032427878,0.00005242008,0.00015434144,0.000015347008,0.000002870469,0.000063133295],"genre_scores_gemma":[0.9989008,0.000033450422,0.00095798273,0.000056476038,0.000031335974,0.0000063625903,0.0000074880186,0.000005218921,9.4387127e-7],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991131,0.000037833914,0.00042977653,0.00008599274,0.00017638288,0.00015690815],"domain_scores_gemma":[0.9995425,0.0000831644,0.00023629495,0.00007666385,0.00003237671,0.00002903014],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00048204302,0.00008257936,0.0002260357,0.000038940707,0.000061390616,0.000011463147,0.00011177006,0.0000341172,0.000057762103],"category_scores_gemma":[0.00001666464,0.00004039281,0.00004136874,0.000040186278,0.000162514,0.00015422974,0.00003175033,0.00007163127,0.0000013517827],"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":[0.0035968157,0.0020088141,0.18859379,0.0012100582,0.000076993376,0.0000073848532,0.032275267,0.2544137,0.3612149,0.00041637808,0.00019547412,0.15599042],"study_design_scores_gemma":[0.00061244424,0.0010558122,0.019029293,0.00012993412,0.000040116323,0.0000038742414,0.00004417116,0.8678205,0.10977767,0.0013956856,0.000021207561,0.00006930642],"about_ca_topic_score_codex":0.00003298954,"about_ca_topic_score_gemma":0.000035944464,"teacher_disagreement_score":0.6134068,"about_ca_system_score_codex":0.000028895938,"about_ca_system_score_gemma":0.0000018734519,"threshold_uncertainty_score":0.1647171},"labels":[],"label_agreement":null},{"id":"W2912171163","doi":"10.2166/wcc.2019.097","title":"Exploring the multiscale changeability of precipitation using the entropy concept and self-organizing maps","year":2019,"lang":"en","type":"article","venue":"Journal of Water and Climate Change","topic":"Climate variability and models","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":"McGill University","funders":"University of Tabriz","keywords":"Precipitation; Environmental science; Climatology; Series (stratigraphy); Entropy (arrow of time); Statistics; Mathematics; Meteorology; Geography; Geology","score_opus":0.08296295435161206,"score_gpt":0.2528279554898806,"score_spread":0.16986500113826852,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2912171163","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9987104,0.00007831509,0.000022138442,0.0006996523,0.00018910186,0.00023332796,0.000009299079,0.0000041987714,0.00005356356],"genre_scores_gemma":[0.99904346,0.00054382224,0.00025176775,0.00006911812,0.0000743941,0.000004144508,0.000001214677,0.0000066712046,0.0000054207185],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992088,0.0000882085,0.0002478194,0.00010963184,0.00016990768,0.00017560834],"domain_scores_gemma":[0.9995963,0.00008550145,0.00013403976,0.00012241422,0.000020674628,0.00004104383],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008067435,0.000082625054,0.0001518967,0.000017288508,0.00012220042,0.00003054986,0.000100882215,0.000022409871,0.00015391651],"category_scores_gemma":[0.000010633772,0.00003857043,0.00003916936,0.000048880524,0.0001138451,0.000491319,0.000180173,0.00010292309,0.0000036749502],"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":[0.00015505687,0.00028536905,0.36097303,0.00027213345,0.00006547298,0.0000037030013,0.31691027,0.0005394522,0.31438217,0.00013142136,0.000025423573,0.0062565133],"study_design_scores_gemma":[0.0038311481,0.0012441839,0.7919629,0.00047974277,0.00051090063,0.00034182813,0.035951916,0.023197701,0.13637255,0.003124837,0.0022548973,0.0007273581],"about_ca_topic_score_codex":0.000082520375,"about_ca_topic_score_gemma":0.000016216783,"teacher_disagreement_score":0.4309899,"about_ca_system_score_codex":0.000044296215,"about_ca_system_score_gemma":0.0000016589715,"threshold_uncertainty_score":0.16852778},"labels":[],"label_agreement":null},{"id":"W2986218094","doi":"10.2166/wcc.2019.321","title":"Flood prediction based on weather parameters using deep learning","year":2019,"lang":"en","type":"article","venue":"Journal of Water and Climate Change","topic":"Hydrological Forecasting Using AI","field":"Environmental Science","cited_by":160,"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":"Flood myth; Support vector machine; Artificial intelligence; Machine learning; Artificial neural network; Flood forecasting; Computer science; Deep learning; Meteorology; Internet of Things; Environmental science; Geography","score_opus":0.035637477658943796,"score_gpt":0.23424384689910913,"score_spread":0.19860636924016534,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2986218094","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99857,0.00001211652,0.00007412544,0.00011697194,0.00015684604,0.000063229105,0.0000011400138,0.00001074572,0.0009948134],"genre_scores_gemma":[0.99907494,0.000019852874,0.00053975696,0.0002844806,0.000050162795,7.531411e-7,0.0000013543108,0.0000099869585,0.000018696366],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99927986,0.00005622046,0.00016007699,0.000108335684,0.00018754252,0.00020796823],"domain_scores_gemma":[0.9997657,0.000020625252,0.000086194486,0.000055927714,0.0000058323603,0.000065735396],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003870575,0.000082232524,0.00012438194,0.000039366947,0.00007501792,0.000029124722,0.000057788307,0.000050311308,0.00061661506],"category_scores_gemma":[0.000009821432,0.000048742564,0.000047593396,0.000040040904,0.000035777797,0.00015022425,0.000041886997,0.00016757054,0.0000772365],"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":[0.000279739,0.00015145628,0.7295238,0.00004193265,0.000019368665,0.000046791836,0.0026181438,0.19650784,0.059589345,0.0000028242362,0.000012636302,0.011206167],"study_design_scores_gemma":[0.0023929812,0.0039721066,0.093246624,0.00039012235,0.00013060089,0.00026454282,0.00024692915,0.8863796,0.00970937,0.00022035086,0.002625511,0.00042128743],"about_ca_topic_score_codex":0.0000121911135,"about_ca_topic_score_gemma":0.0000011435636,"teacher_disagreement_score":0.6898717,"about_ca_system_score_codex":0.000055546356,"about_ca_system_score_gemma":7.123958e-7,"threshold_uncertainty_score":0.6751503},"labels":[],"label_agreement":null},{"id":"W2990203556","doi":"10.2166/wcc.2019.403","title":"Statistical tool for modeling of a daily precipitation process in the context of climate change","year":2019,"lang":"en","type":"article","venue":"Journal of Water and Climate Change","topic":"Climate variability and models","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McGill University","funders":"","keywords":"Downscaling; Precipitation; Environmental science; Context (archaeology); Climatology; Climate change; Logistic regression; Regression analysis; Scale (ratio); Subtropics; Meteorology; Statistics; Mathematics; Geography; Ecology; Cartography","score_opus":0.05747655615781141,"score_gpt":0.2940655516924108,"score_spread":0.23658899553459936,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2990203556","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99845034,0.00004717818,0.00023177773,0.00033200893,0.000072024835,0.00055968424,0.00012146761,0.0000017794016,0.0001837514],"genre_scores_gemma":[0.99887776,0.00057154975,0.0002998267,0.00015376846,0.00003773948,0.00003810231,0.000012376266,0.000007621567,0.0000012523742],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99888843,0.000053072366,0.0004850617,0.00011891686,0.00022334147,0.00023120132],"domain_scores_gemma":[0.9995411,0.000107995984,0.0001810795,0.000096908545,0.000042496853,0.000030428242],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012450571,0.00009134802,0.0002629,0.00004666004,0.00003237908,0.000015291333,0.00013238254,0.00005038134,0.00011645912],"category_scores_gemma":[0.000021646787,0.000052196974,0.00005321829,0.000052580734,0.000055238714,0.0004030628,0.000057711997,0.00008396489,0.0000030191854],"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":[0.0043914868,0.0016725112,0.46104953,0.005479585,0.00006972567,0.000013496145,0.46049082,0.0043108887,0.030284733,0.0034261714,0.00004824655,0.028762788],"study_design_scores_gemma":[0.015185678,0.007072505,0.1427656,0.0022893152,0.00055059564,0.00017001922,0.06776771,0.72652,0.008756123,0.027251303,0.00043449708,0.0012366876],"about_ca_topic_score_codex":0.000045478446,"about_ca_topic_score_gemma":0.000039788756,"teacher_disagreement_score":0.7222091,"about_ca_system_score_codex":0.000024837564,"about_ca_system_score_gemma":0.0000030831673,"threshold_uncertainty_score":0.21285307},"labels":[],"label_agreement":null},{"id":"W3037711709","doi":"10.2166/wcc.2020.281","title":"Synoptic climatological approach associated with three recent summer heatwaves in the Canadian Arctic","year":2020,"lang":"en","type":"article","venue":"Journal of Water and Climate Change","topic":"Arctic and Antarctic ice dynamics","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":"York University","funders":"","keywords":"Arctic; Climatology; Arctic ice pack; Environmental science; Arctic sea ice decline; Arctic geoengineering; Sea ice; Arctic dipole anomaly; Albedo (alchemy); The arctic; Oceanography; Atmospheric sciences; Geology; Antarctic sea ice","score_opus":0.07142691424473618,"score_gpt":0.22255074121641513,"score_spread":0.15112382697167895,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3037711709","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98508227,0.00023785965,0.000012590275,0.013225031,0.000059998994,0.00013975163,0.000024792456,0.0000041913413,0.0012135431],"genre_scores_gemma":[0.99561816,0.00074555026,0.00011743057,0.0033706336,0.000094758245,8.152546e-7,0.00004825893,0.000003184987,0.0000012227446],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989598,0.0000914362,0.00022805421,0.0001132956,0.00022202737,0.00038542761],"domain_scores_gemma":[0.9995441,0.00006646255,0.00007784533,0.000053009095,0.000055228487,0.00020339678],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005331307,0.000113365495,0.00022131403,0.000053849133,0.00016980087,0.00007771288,0.00016037677,0.000062116604,0.00017489564],"category_scores_gemma":[0.000033407785,0.000049243547,0.000035737892,0.00012490196,0.000092814305,0.00016986499,0.000009459312,0.00030837735,0.000007828321],"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":[0.0000913345,0.00002487928,0.9927279,0.00003875221,0.000024428296,0.0002125072,0.004871716,0.00003767445,0.0000011069524,0.00005515274,0.000019870828,0.0018947059],"study_design_scores_gemma":[0.0006459095,0.000694092,0.98686314,0.00008091088,0.00007666187,0.00047512224,0.0034349188,0.0068030218,0.0000019190204,0.000260924,0.000494671,0.0001687082],"about_ca_topic_score_codex":0.007683555,"about_ca_topic_score_gemma":0.13572548,"teacher_disagreement_score":0.12804192,"about_ca_system_score_codex":0.00001559836,"about_ca_system_score_gemma":0.00003135459,"threshold_uncertainty_score":0.9989244},"labels":[],"label_agreement":null},{"id":"W3041529978","doi":"10.2166/wcc.2020.036","title":"Sensitivity of physical parameterization schemes in WRF model for dynamic downscaling of climatic variables over the MRB","year":2020,"lang":"en","type":"article","venue":"Journal of Water and Climate Change","topic":"Climate variability and models","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 Alberta","funders":"","keywords":"Weather Research and Forecasting Model; Downscaling; Shortwave; Environmental science; Climatology; Longwave; Meteorology; Albedo (alchemy); Shortwave radiation; Atmospheric sciences; Geography; Radiative transfer; Radiation; Precipitation; Geology; Physics","score_opus":0.04445094263779539,"score_gpt":0.2689762488500259,"score_spread":0.22452530621223052,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3041529978","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9919973,0.00001724592,0.0071855374,0.00052551343,0.0000195593,0.00018405792,0.000050612958,0.0000023099756,0.000017879876],"genre_scores_gemma":[0.9987165,0.00011367739,0.0009965854,0.00013213695,0.0000230148,0.0000049230944,0.0000057127663,0.0000067056003,7.937734e-7],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999186,0.000062058876,0.0003421107,0.00010290161,0.00014907829,0.00015785656],"domain_scores_gemma":[0.99955314,0.00013499429,0.00017926573,0.00007330244,0.00001764709,0.000041667667],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000708837,0.00008451116,0.0002705831,0.000022677628,0.00003414072,0.000011432092,0.00006974096,0.000038139242,0.000021454814],"category_scores_gemma":[0.000040668117,0.000048418926,0.00008218928,0.00006513674,0.00009014033,0.00023927589,0.000100601086,0.00007855189,4.5459322e-7],"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":[0.0004696656,0.00041310806,0.025806261,0.0009655204,0.000037521942,0.0000034938635,0.03467754,0.07876202,0.8566933,0.0003162154,0.000009335897,0.0018460033],"study_design_scores_gemma":[0.0004282441,0.00012841466,0.0028903526,0.00007318731,0.0000469334,0.0000035857693,0.00019688955,0.9883045,0.0062637096,0.0015946877,0.000007400198,0.00006209325],"about_ca_topic_score_codex":0.00002370502,"about_ca_topic_score_gemma":0.00001893224,"teacher_disagreement_score":0.9095425,"about_ca_system_score_codex":0.000023561406,"about_ca_system_score_gemma":0.0000031398988,"threshold_uncertainty_score":0.19744666},"labels":[],"label_agreement":null},{"id":"W3083133135","doi":"10.2166/wcc.2020.088","title":"Uncertainties in runoff projection and hydrological drought assessment over Gharesu basin under CMIP5 RCP scenarios","year":2020,"lang":"en","type":"article","venue":"Journal of Water and Climate Change","topic":"Hydrology and Drought Analysis","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":"Western University","funders":"Shahid Chamran University of Ahvaz","keywords":"Representative Concentration Pathways; Environmental science; Streamflow; Surface runoff; Water resources; Structural basin; Climate change; Drainage basin; Hydrology (agriculture); Population; Climatology; General Circulation Model; Geography; Geology; Ecology","score_opus":0.03327380391121631,"score_gpt":0.2696300212084776,"score_spread":0.2363562172972613,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3083133135","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99181813,0.000116084564,0.00003952681,0.0073129307,0.000054796627,0.000086281085,0.0000031259942,0.0000065571494,0.00056257716],"genre_scores_gemma":[0.9969939,0.0006189675,0.000112832546,0.0021258227,0.00011265956,0.000004956625,0.0000040761447,0.000005984475,0.000020804158],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990223,0.00010042037,0.00027314594,0.00018284183,0.00017705366,0.0002442533],"domain_scores_gemma":[0.9997274,0.000020416739,0.00008942956,0.00005116396,0.000007061956,0.00010449232],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003968079,0.0001183962,0.00025791972,0.00005472153,0.000114489376,0.00005094101,0.00007526862,0.00009556295,0.0008356823],"category_scores_gemma":[0.0000068102086,0.00007174454,0.000055213273,0.00010599099,0.00014173833,0.0003575521,0.00014219052,0.00022837284,0.000012579604],"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":[0.00034794176,0.00015469828,0.9792689,0.000047374542,0.000059292324,0.00016296918,0.00905347,0.00051021494,0.007931093,0.00005203728,0.0003783966,0.0020335768],"study_design_scores_gemma":[0.0027680586,0.0014642308,0.95286137,0.00006628713,0.00022034554,0.00021587248,0.0019218625,0.029101333,0.0016063658,0.0018904678,0.0074216127,0.00046216973],"about_ca_topic_score_codex":0.00013604201,"about_ca_topic_score_gemma":0.00016223914,"teacher_disagreement_score":0.028591119,"about_ca_system_score_codex":0.000056933393,"about_ca_system_score_gemma":0.000004004941,"threshold_uncertainty_score":0.91501355},"labels":[],"label_agreement":null},{"id":"W3084168469","doi":"10.2166/wcc.2020.199","title":"The validity of floating chambers in quantifying CO2 flux from headwater streams","year":2020,"lang":"en","type":"article","venue":"Journal of Water and Climate Change","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":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Geological Society of America; American Water Works Association","keywords":"STREAMS; Flume; Flux (metallurgy); Carbon cycle; Hydrology (agriculture); Environmental science; Range (aeronautics); Atmospheric sciences; Geology; Ecology; Chemistry; Ecosystem; Mechanics; Geotechnical engineering; Flow (mathematics); Materials science; Physics","score_opus":0.0996711703315381,"score_gpt":0.2523874817224079,"score_spread":0.15271631139086977,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3084168469","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9977336,0.0003162208,0.000002564354,0.001059595,0.00019202383,0.000060313163,0.000048164275,0.0000029944692,0.0005845484],"genre_scores_gemma":[0.9990834,0.0004742628,0.000035857498,0.00014687008,0.00022740437,2.0147708e-7,0.000024457899,0.0000024260817,0.00000514866],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991188,0.000076186865,0.0003658365,0.000081384394,0.00015770615,0.00020005634],"domain_scores_gemma":[0.99961764,0.00007687622,0.00013924911,0.00005064404,0.000030107074,0.0000855032],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044352768,0.000079748395,0.00021149806,0.000022947152,0.00009230627,0.00006854327,0.00010384304,0.000030403995,0.00027685068],"category_scores_gemma":[0.00001162672,0.000039457107,0.000051151317,0.000050037586,0.000029588678,0.00019678412,0.00002863348,0.00012248968,0.000009813498],"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":[0.00011068385,0.000007795926,0.9720906,0.00008113524,0.000015154846,0.000036070545,0.0057845777,0.000030610263,0.0006662031,0.000002793531,0.000052214025,0.021122135],"study_design_scores_gemma":[0.0025313157,0.001665427,0.90547204,0.00057760946,0.000097637676,0.00010619947,0.016931219,0.039686613,0.018458514,0.00053692504,0.013413086,0.0005234255],"about_ca_topic_score_codex":0.0023961605,"about_ca_topic_score_gemma":0.004285496,"teacher_disagreement_score":0.0666186,"about_ca_system_score_codex":0.0000018198907,"about_ca_system_score_gemma":0.0000061568626,"threshold_uncertainty_score":0.3622294},"labels":[],"label_agreement":null},{"id":"W3104197861","doi":"10.2166/wcc.2020.332","title":"Projection of important climate variables in large cities under the CMIP5–RCP scenarios using SDSM and fuzzy downscaling models","year":2020,"lang":"en","type":"article","venue":"Journal of Water and Climate Change","topic":"Climate variability and models","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 Guelph","funders":"","keywords":"Downscaling; Environmental science; Precipitation; Coupled model intercomparison project; Climatology; Representative Concentration Pathways; Climate change; Mean radiant temperature; Relative humidity; Climate model; Atmospheric sciences; Meteorology; Geography","score_opus":0.07124414074307495,"score_gpt":0.2619000411454527,"score_spread":0.19065590040237773,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3104197861","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99800354,0.00024868626,0.000195478,0.0010127848,0.000074228636,0.00020110568,0.00003769536,0.0000063577777,0.00022012771],"genre_scores_gemma":[0.9965373,0.0026555143,0.00030095922,0.00041028007,0.00007552217,0.000003918998,0.000003178467,0.000011871808,0.0000014430482],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99862003,0.00007561608,0.0005595408,0.00017656478,0.0002179679,0.00035025095],"domain_scores_gemma":[0.9995507,0.000036848145,0.00021773083,0.00008799155,0.000019653671,0.000087078035],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011909413,0.00013931785,0.00029555758,0.000052234598,0.0001502862,0.000053403277,0.000101380596,0.00007525677,0.0000895325],"category_scores_gemma":[0.000008612155,0.0000802413,0.00005930716,0.00010708604,0.00011362891,0.0005753917,0.00025543035,0.00018587528,7.6361994e-7],"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":[0.0013140565,0.0006290781,0.54580027,0.0015760547,0.00013974201,0.00008565719,0.14677377,0.03412348,0.26522788,0.003123836,0.000045823268,0.0011603407],"study_design_scores_gemma":[0.0056358725,0.001087338,0.039213706,0.0010754477,0.0005034689,0.0006028291,0.03784627,0.8711054,0.012303829,0.029240675,0.00032683436,0.0010583248],"about_ca_topic_score_codex":0.00023047409,"about_ca_topic_score_gemma":0.00011653899,"teacher_disagreement_score":0.8369819,"about_ca_system_score_codex":0.00005218356,"about_ca_system_score_gemma":0.0000064019805,"threshold_uncertainty_score":0.3272145},"labels":[],"label_agreement":null},{"id":"W3128528766","doi":"10.2166/wcc.2021.286","title":"Multi-model ensemble projection of mean and extreme streamflow of Brahmaputra River Basin under the impact of climate change","year":2021,"lang":"en","type":"article","venue":"Journal of Water and Climate Change","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":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Alberta Environment and Protected Areas","funders":"","keywords":"Streamflow; Climate change; Environmental science; Precipitation; Climatology; Drainage basin; Structural basin; Water resources; Multivariate statistics; Mean radiant temperature; Hydrology (agriculture); Geography; Geology; Meteorology; Ecology; Statistics","score_opus":0.06902238180627185,"score_gpt":0.27859596923288144,"score_spread":0.2095735874266096,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3128528766","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9986817,0.00029286856,0.000065373926,0.0004668392,0.00005019789,0.00014336572,0.000027208742,0.0000026692135,0.0002697585],"genre_scores_gemma":[0.9925228,0.007020774,0.00030607943,0.00008103216,0.000030903786,0.0000044130506,0.0000031517732,0.000007932796,0.000022922975],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99910593,0.000073186246,0.00031197298,0.00012739419,0.00015252268,0.00022896544],"domain_scores_gemma":[0.99957174,0.000020587975,0.00022648378,0.00010611035,0.00003451905,0.000040580107],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004408998,0.00012349301,0.00029720782,0.00005851565,0.00008970829,0.000007971441,0.00007696951,0.000051890023,0.000074925796],"category_scores_gemma":[0.000003505392,0.000065351924,0.000103130464,0.000070041744,0.00024445253,0.0002834969,0.00022968215,0.00008692708,0.000001338102],"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":[0.0008145914,0.0011123376,0.70905805,0.0007575295,0.00063125964,0.00005692287,0.08592136,0.0012777341,0.18764412,0.000075580094,0.00021005141,0.012440458],"study_design_scores_gemma":[0.0029241797,0.0011366874,0.9246641,0.00029431883,0.00045410416,0.00012599723,0.0050028614,0.013211592,0.050962005,0.0008679361,0.00005192315,0.00030431585],"about_ca_topic_score_codex":0.00021519951,"about_ca_topic_score_gemma":0.00015535795,"teacher_disagreement_score":0.21560603,"about_ca_system_score_codex":0.000025205212,"about_ca_system_score_gemma":0.0000026603527,"threshold_uncertainty_score":0.2664974},"labels":[],"label_agreement":null},{"id":"W3137235415","doi":"10.2166/wcc.2021.248","title":"Risk assessment of possible impacts of climate change and irrigation on wheat yield and quality with a modified CERES-Wheat model","year":2021,"lang":"en","type":"article","venue":"Journal of Water and Climate Change","topic":"Climate change impacts on agriculture","field":"Agricultural and Biological Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Downscaling; Environmental science; Climate change; Yield (engineering); Irrigation; Precipitation; Climatology; Representative Concentration Pathways; Climate change scenario; Agronomy; Climate model; Atmospheric sciences; Meteorology; Geography; Ecology","score_opus":0.12450041210737235,"score_gpt":0.31350101114340495,"score_spread":0.1890005990360326,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3137235415","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9966995,0.0006575632,0.0000013554192,0.0013428062,0.00004472289,0.0002340831,0.00047216783,0.000008705395,0.0005390584],"genre_scores_gemma":[0.9822031,0.017294765,0.00011148875,0.00019968959,0.00013104286,0.000008356234,0.000041917934,0.0000031752777,0.000006420324],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99848634,0.000106145046,0.0004929845,0.00023199736,0.00032062258,0.00036190552],"domain_scores_gemma":[0.99883837,0.000106997184,0.0004810586,0.000071786,0.00028018962,0.00022161727],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00061540445,0.00022617086,0.0005413631,0.000043719316,0.00013343272,0.00007775602,0.000083063,0.00013304838,0.000054051794],"category_scores_gemma":[0.000023044337,0.00007479617,0.00008181767,0.000140239,0.000079995705,0.00045207454,0.00011490062,0.00020348823,2.4532466e-7],"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":[0.0011848907,0.0006510667,0.22559436,0.00094462064,0.0001275022,0.000042018088,0.009658102,0.000010991837,0.7463568,0.00045304807,0.000030945226,0.014945679],"study_design_scores_gemma":[0.0010919112,0.0022425903,0.9437841,0.00094656466,0.00017304705,0.00014119639,0.0032208336,0.0004058103,0.04720203,0.0004930234,0.000011447906,0.00028743985],"about_ca_topic_score_codex":0.00028028572,"about_ca_topic_score_gemma":0.0010661426,"teacher_disagreement_score":0.7181898,"about_ca_system_score_codex":0.000027826949,"about_ca_system_score_gemma":0.0000060076577,"threshold_uncertainty_score":0.30500993},"labels":[],"label_agreement":null},{"id":"W3137404772","doi":"10.2166/wcc.2021.302","title":"Application of the HBV model for the future projections of water levels using dynamically downscaled global climate model data","year":2021,"lang":"en","type":"article","venue":"Journal of Water and Climate Change","topic":"Arctic and Antarctic ice dynamics","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":"University of Alberta","funders":"Transport Canada","keywords":"Weather Research and Forecasting Model; Streamflow; Environmental science; Climatology; Climate change; Climate model; Arctic; Meteorology; Hydrology (agriculture); Geography; Drainage basin; Geology","score_opus":0.0681616726764185,"score_gpt":0.2828153740073595,"score_spread":0.21465370133094103,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3137404772","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94072783,0.000264991,0.053058278,0.0029300826,0.00029844855,0.00033409058,0.0023027053,0.0000042979505,0.00007926826],"genre_scores_gemma":[0.9957413,0.0006060976,0.0031927922,0.0001676497,0.00016933735,0.0000012799863,0.00010782356,0.0000037239768,0.000009997862],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99903363,0.000034238274,0.00036367954,0.00013161027,0.00019551149,0.00024133264],"domain_scores_gemma":[0.9993176,0.000030576404,0.00017691917,0.00025477505,0.00017828976,0.000041851043],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00047288332,0.00009943854,0.00019912655,0.000019526622,0.00023776991,0.000027996255,0.00030344925,0.000060836304,0.000022657663],"category_scores_gemma":[0.000005981224,0.000040805888,0.00009526777,0.00006513293,0.00008916275,0.00027236788,0.00010975528,0.00011016247,5.6275985e-7],"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":[0.001990937,0.0006282154,0.5251732,0.002941942,0.00083352346,0.00001648166,0.026446778,0.3350223,0.032753576,0.002772078,0.00016692246,0.07125406],"study_design_scores_gemma":[0.00028948678,0.000032333595,0.009120055,0.000038571496,0.00017897456,0.000085611435,0.0009399151,0.9875089,0.0002555193,0.0014462083,0.00003871969,0.00006569585],"about_ca_topic_score_codex":0.000069262634,"about_ca_topic_score_gemma":0.00046870828,"teacher_disagreement_score":0.6524866,"about_ca_system_score_codex":0.000008134998,"about_ca_system_score_gemma":0.00003741882,"threshold_uncertainty_score":0.1828758},"labels":[],"label_agreement":null},{"id":"W3158113899","doi":"10.2166/wcc.2021.293","title":"Assessing watershed hydrological response to climate change based on signature indices","year":2021,"lang":"en","type":"article","venue":"Journal of Water and Climate Change","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":"","keywords":"Environmental science; Watershed; Climate change; Surface runoff; Structural basin; Signature (topology); Hydrology (agriculture); Representative Concentration Pathways; Physical geography; Climatology; Climate model; Geology; Geography; Ecology; Mathematics; Computer science; Oceanography","score_opus":0.042252575249232316,"score_gpt":0.2810021240251839,"score_spread":0.23874954877595156,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3158113899","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9788843,0.00011456631,0.000013199206,0.019586531,0.0002499558,0.00015807762,0.000008587206,0.000018996232,0.00096578733],"genre_scores_gemma":[0.98910004,0.0003932006,0.00024334386,0.010004701,0.00018590227,0.000022129489,0.000009240521,0.000014473366,0.000026950303],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9982211,0.00029335395,0.00030903966,0.0002963304,0.00031049873,0.00056966883],"domain_scores_gemma":[0.9994699,0.00007775,0.00011690058,0.00014968787,0.000020385518,0.00016538335],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001323993,0.00021016716,0.00033252014,0.00013021311,0.00030553178,0.0001093015,0.00016733883,0.00013027844,0.0005925608],"category_scores_gemma":[0.000030607593,0.00012430272,0.00009262002,0.00012832193,0.00010402021,0.0005312774,0.00040750363,0.00026847707,0.000108152766],"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":[0.014860496,0.0018332767,0.69666713,0.0005111158,0.00030702414,0.011035442,0.05121631,0.0013726373,0.19369297,0.00008072573,0.003196544,0.025226332],"study_design_scores_gemma":[0.0046193907,0.00409762,0.9041308,0.0005537016,0.00038200617,0.00027701876,0.0031122852,0.0014741645,0.043649986,0.0005541154,0.035976693,0.0011721745],"about_ca_topic_score_codex":0.000005904602,"about_ca_topic_score_gemma":0.000011386452,"teacher_disagreement_score":0.20746371,"about_ca_system_score_codex":0.000056056448,"about_ca_system_score_gemma":0.0000020383395,"threshold_uncertainty_score":0.6488125},"labels":[],"label_agreement":null},{"id":"W3169618324","doi":"10.2166/wcc.2021.038","title":"Response of runoff in the upper reaches of the Minjiang River to climate change","year":2021,"lang":"en","type":"article","venue":"Journal of Water and Climate Change","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"College of Engineering, University of Canterbury","keywords":"Surface runoff; Environmental science; Precipitation; Downscaling; Climate change; Evapotranspiration; SWAT model; Landform; Hydrology (agriculture); Meltwater; Snowmelt; Snow; Soil and Water Assessment Tool; Climatology; Streamflow; Glacier; Physical geography; Drainage basin; Geology; Geography; Meteorology; Ecology","score_opus":0.03656723801798511,"score_gpt":0.2509950550453694,"score_spread":0.21442781702738428,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3169618324","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9861907,0.00021672185,6.8844844e-7,0.012803222,0.000114811286,0.00013632713,0.000010641589,0.0000013320082,0.00052560685],"genre_scores_gemma":[0.9971319,0.0010569033,0.000060298673,0.0016475039,0.00004173486,0.0000102914855,7.4189757e-7,0.0000051424136,0.000045475565],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989607,0.0002328742,0.00027063946,0.00010304777,0.00019405317,0.00023870361],"domain_scores_gemma":[0.9996425,0.000050221643,0.00011053891,0.00015418355,0.0000143351335,0.0000282121],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012667081,0.00009012525,0.00020054216,0.00005197966,0.00008714119,0.000008280584,0.00020154138,0.000037857088,0.0001138613],"category_scores_gemma":[0.000020082143,0.00004134327,0.00007633303,0.00012288362,0.00016873577,0.0001572293,0.0004270057,0.00009582303,0.000012122098],"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":[0.0008775473,0.00020600106,0.83554643,0.00010519771,0.00004938035,0.000113102586,0.1340271,0.000012465851,0.026121587,0.00005867977,0.0006674189,0.0022151037],"study_design_scores_gemma":[0.00045235778,0.00019417005,0.97698015,0.00012147972,0.000060111375,0.00004093343,0.003526987,0.000008193782,0.014829291,0.00023577153,0.0034688178,0.000081709884],"about_ca_topic_score_codex":0.000045877918,"about_ca_topic_score_gemma":0.0000834565,"teacher_disagreement_score":0.14143376,"about_ca_system_score_codex":0.000018861938,"about_ca_system_score_gemma":0.0000012391185,"threshold_uncertainty_score":0.16859297},"labels":[],"label_agreement":null},{"id":"W3196654720","doi":"10.2166/wcc.2021.272","title":"A maximum entropy copula-based frequency analysis method for assessing bivariate drought risk: a case study of the Kaidu River Basin","year":2021,"lang":"en","type":"article","venue":"Journal of Water and Climate Change","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":"University of Regina","funders":"National Natural Science Foundation of China","keywords":"Bivariate analysis; Return period; Copula (linguistics); Joint probability distribution; Structural basin; Frequency analysis; Statistics; Environmental science; Entropy (arrow of time); Climatology; Kullback–Leibler divergence; Econometrics; Mathematics; Geology; Geography; Physics","score_opus":0.029126497267815046,"score_gpt":0.29942634751511915,"score_spread":0.27029985024730413,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3196654720","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9929138,0.000099021985,0.0061648074,0.0004973851,0.000096183656,0.00015190004,0.000030961244,0.000004587156,0.000041371037],"genre_scores_gemma":[0.9928841,0.000054723896,0.006745225,0.00021739036,0.00005866378,0.000010097993,0.0000045342576,0.000011631823,0.000013632047],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99815875,0.00059188565,0.0004958313,0.0002240647,0.00025479431,0.00027468862],"domain_scores_gemma":[0.9990652,0.00011672449,0.00043597427,0.00024026202,0.000058855418,0.00008295997],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012822134,0.00014680844,0.0004943054,0.0001161767,0.00031320352,0.000048367136,0.00015211328,0.00007596519,0.00037596773],"category_scores_gemma":[0.00003670652,0.00008099485,0.00037312135,0.0004976957,0.000086459644,0.00027177524,0.00012669663,0.00017363265,0.0000024154465],"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":[0.00007687218,0.00058330613,0.98140234,0.000028332879,0.0008619598,0.0010695197,0.009759982,0.00090095674,0.00383904,0.0000051017287,0.000020248075,0.0014523403],"study_design_scores_gemma":[0.015491017,0.0021271503,0.7488671,0.00015765922,0.051470794,0.0036884458,0.02579542,0.1017281,0.040417176,0.007945319,0.0009758814,0.001335929],"about_ca_topic_score_codex":0.001562005,"about_ca_topic_score_gemma":0.0015568008,"teacher_disagreement_score":0.23253523,"about_ca_system_score_codex":0.000053601645,"about_ca_system_score_gemma":0.000009779957,"threshold_uncertainty_score":0.41165832},"labels":[],"label_agreement":null},{"id":"W3206996059","doi":"10.2166/wcc.2021.158","title":"Impacts of urbanization and climate change on water quantity and quality in the Carp River watershed","year":2021,"lang":"en","type":"article","venue":"Journal of Water and Climate Change","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Toronto and Region Conservation Authority; United Nations University Institute for Water, Environment, and Health; Wilfrid Laurier University; University of Ottawa","funders":"Mitacs","keywords":"Urbanization; Environmental science; Watershed; Climate change; Water quality; Downscaling; Hydrology (agriculture); Water resources; Water resource management; Ecology","score_opus":0.051615685369480135,"score_gpt":0.2768872319539283,"score_spread":0.22527154658444815,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3206996059","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9964087,0.00023595973,0.0000014575234,0.002870569,0.000076524986,0.0001336863,0.0000097541815,0.0000031293957,0.00026023114],"genre_scores_gemma":[0.99352324,0.0054615624,0.000017460932,0.0009103381,0.000058658476,0.0000053662848,0.000009432056,0.000006264746,0.000007665191],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988854,0.00018651874,0.00029300328,0.00016086585,0.0001733068,0.00030088858],"domain_scores_gemma":[0.9997171,0.00002716872,0.00009037383,0.00009970516,0.000017219432,0.000048424394],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010455273,0.00012639666,0.00025795726,0.00005705423,0.00014595223,0.000030656345,0.00007352833,0.000055839188,0.00006702863],"category_scores_gemma":[0.000009370664,0.00006052613,0.00003309714,0.000054723376,0.00018530969,0.00036505295,0.0002621041,0.0001141843,0.0000069380358],"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":[0.0001551007,0.00009427721,0.95438445,0.00016056167,0.000025341367,0.00006009534,0.038173992,0.0000025615434,0.006407884,0.0001330315,0.000041561216,0.0003611674],"study_design_scores_gemma":[0.00093776576,0.00027374475,0.9846044,0.00006484947,0.00006479158,0.00003926497,0.0014365067,0.000019057374,0.011677317,0.00040767793,0.0003476106,0.00012698883],"about_ca_topic_score_codex":0.00021158112,"about_ca_topic_score_gemma":0.00037473874,"teacher_disagreement_score":0.036737483,"about_ca_system_score_codex":0.000018868355,"about_ca_system_score_gemma":5.769946e-7,"threshold_uncertainty_score":0.2468184},"labels":[],"label_agreement":null},{"id":"W3209149488","doi":"10.2166/wcc.2021.393","title":"Bayesian model averaging of the RegCM temperature projections: a Canadian case study","year":2021,"lang":"en","type":"article","venue":"Journal of Water and Climate Change","topic":"Climate variability and models","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 Prince Edward Island; University of Regina","funders":"Mitacs; Canada Research Chairs","keywords":"Probabilistic logic; GCM transcription factors; Bayesian probability; General Circulation Model; Climatology; Climate model; Environmental science; Bayesian inference; Ensemble forecasting; Representative Concentration Pathways; Climate change; Scheme (mathematics); Computer science; Mathematics; Artificial intelligence; Geology","score_opus":0.03696764973995756,"score_gpt":0.25280114520155966,"score_spread":0.2158334954616021,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3209149488","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99793756,0.000046877216,0.000008021985,0.0011926296,0.00011472124,0.0001727271,0.000020877678,0.0000023116233,0.00050426257],"genre_scores_gemma":[0.99939543,0.000108788365,0.00010920187,0.00026601614,0.00004060352,0.0000057751704,9.840436e-7,0.0000066345274,0.00006653909],"study_design_codex":"observational","study_design_gemma":"qualitative","domain_scores_codex":[0.9992119,0.00007064491,0.00024103727,0.00011994213,0.00015356648,0.00020290517],"domain_scores_gemma":[0.99961424,0.000010162195,0.00006929543,0.00016337086,0.000033950007,0.000108989705],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00042488915,0.00008254805,0.00014672679,0.00003909572,0.00022586543,0.000038562568,0.00008762952,0.000043710363,0.00017726012],"category_scores_gemma":[0.000010706487,0.000045709847,0.00006281883,0.00010704487,0.000046394383,0.00021731776,0.00012550212,0.00016705455,9.899177e-7],"study_design_candidate":"qualitative","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":[0.00011435769,0.0015170458,0.6059582,0.00030239683,0.00017055866,0.006516357,0.30138206,0.009269493,0.07128929,0.00007288471,0.00080785877,0.0025995008],"study_design_scores_gemma":[0.01483257,0.0030359307,0.09040998,0.0020553565,0.0024740328,0.15763085,0.40294296,0.23197687,0.07497964,0.0102950195,0.005921362,0.003445427],"about_ca_topic_score_codex":0.011046954,"about_ca_topic_score_gemma":0.07656076,"teacher_disagreement_score":0.5155482,"about_ca_system_score_codex":0.00009181215,"about_ca_system_score_gemma":0.00002974014,"threshold_uncertainty_score":0.9955386},"labels":[],"label_agreement":null},{"id":"W3209889693","doi":"10.2166/wcc.2021.254","title":"Environmental flow assessment in the context of climate change: a case study in Southern Quebec (Canada)","year":2021,"lang":"en","type":"article","venue":"Journal of Water and Climate Change","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":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Ministère des Ressources naturelles et des Forêts; Ministère de l’Environnement, de la Lutte contre les changements climatiques, de la Faune et des Parcs; Université de Moncton; Fisheries and Oceans Canada; Institut National de la Recherche Scientifique","funders":"","keywords":"Metric (unit); Environmental science; Flow (mathematics); Context (archaeology); Climate change; Proxy (statistics); Environmental flow; Flow conditions; Hydrology (agriculture); Climatology; Geography; Physical geography; Statistics; Mathematics; Geology; Operations management; Engineering","score_opus":0.026044751402886843,"score_gpt":0.2513516843707568,"score_spread":0.22530693296786994,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3209889693","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99712825,0.00015689198,6.156449e-7,0.002109646,0.00009008501,0.00025825654,0.000021112573,0.000001260545,0.00023388401],"genre_scores_gemma":[0.9983329,0.00078593905,0.000014986432,0.0007725148,0.00004032922,0.000028750444,0.0000031753111,0.0000067141123,0.0000146550265],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987141,0.00020931619,0.0003660593,0.00014927522,0.00026434963,0.00029688585],"domain_scores_gemma":[0.99969935,0.000030193238,0.00011363584,0.000115837414,0.0000039985866,0.000037002133],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007506471,0.0001268578,0.00026726394,0.00004737524,0.000095076735,0.000016587355,0.00011596308,0.00003211634,0.00022212858],"category_scores_gemma":[0.0000023197344,0.000073640746,0.000039498656,0.000063319945,0.00008682267,0.00017550391,0.00028154094,0.00018391994,0.000004292651],"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":[0.000054166267,0.0004935149,0.89656425,0.00003134884,0.000031944153,0.008506877,0.0880872,0.000015005155,0.00023601987,0.0000028891852,0.000030608633,0.005946154],"study_design_scores_gemma":[0.0022129857,0.00033700993,0.6108872,0.00005526734,0.00009190152,0.0006791554,0.38471144,0.00020124172,0.00015835863,0.000031858457,0.00044739142,0.00018617106],"about_ca_topic_score_codex":0.06741411,"about_ca_topic_score_gemma":0.793645,"teacher_disagreement_score":0.7262309,"about_ca_system_score_codex":0.00011326438,"about_ca_system_score_gemma":0.000005077092,"threshold_uncertainty_score":0.93879604},"labels":[],"label_agreement":null},{"id":"W3214329729","doi":"10.2166/wcc.2021.172","title":"Study on bioretention for stormwater management in cold climate, part II: water quality","year":2021,"lang":"en","type":"article","venue":"Journal of Water and Climate Change","topic":"Urban Stormwater Management Solutions","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":true,"ca_institutions":"Stantec (Canada); Alberta Environment and Protected Areas; University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Government of Alberta","keywords":"Bioretention; Loam; Environmental science; Leaching (pedology); Surface runoff; Nutrient; Nitrate; Infiltration (HVAC); Ammonium; Water quality; Hydrology (agriculture); Total suspended solids; Stormwater; Environmental engineering; Soil water; Chemistry; Wastewater; Soil science; Ecology; Geology; Geography; Chemical oxygen demand","score_opus":0.09060647657863352,"score_gpt":0.3037379580163618,"score_spread":0.21313148143772825,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3214329729","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9967274,0.000026856813,0.0000148027875,0.0010766385,0.00042554733,0.0006238799,0.00002245398,0.000012679767,0.0010697519],"genre_scores_gemma":[0.9984331,0.00025065077,0.00014427557,0.00035034146,0.000102873506,0.000100176694,0.000028315517,0.000019143918,0.0005711255],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9981253,0.0001173947,0.00057640596,0.00029209247,0.00034004144,0.00054876885],"domain_scores_gemma":[0.99955493,0.000011691981,0.00010614944,0.0002127128,0.000025659861,0.00008883462],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012390257,0.00018023633,0.00027919543,0.0001234677,0.00023258071,0.00006859044,0.00014396603,0.00004806805,0.00036267756],"category_scores_gemma":[0.0000025661188,0.00010930685,0.0001047488,0.000082235165,0.000049510407,0.00042704464,0.00049780385,0.000114421506,0.000065717],"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":[0.0012457434,0.007834031,0.8647456,0.0006727777,0.0005387656,0.0012460417,0.0458545,0.00011869475,0.066265374,0.0012395186,0.0064255265,0.0038134037],"study_design_scores_gemma":[0.012811943,0.003946827,0.76122123,0.00032624594,0.0006497736,0.000068860165,0.016462626,0.00006555146,0.076656185,0.000928732,0.12560256,0.0012594376],"about_ca_topic_score_codex":0.000021870497,"about_ca_topic_score_gemma":0.00015454665,"teacher_disagreement_score":0.119177036,"about_ca_system_score_codex":0.00018095385,"about_ca_system_score_gemma":9.949181e-7,"threshold_uncertainty_score":0.4457404},"labels":[],"label_agreement":null},{"id":"W3215518754","doi":"10.2166/wcc.2021.422","title":"Identifying the runoff variation in the Naryn River Basin under multiple climate and land-use change scenarios","year":2021,"lang":"en","type":"article","venue":"Journal of Water and Climate Change","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 Regina","funders":"","keywords":"Environmental science; Surface runoff; Arable land; Soil and Water Assessment Tool; Climate change; SWAT model; Streamflow; Hydrology (agriculture); Water resources; Baseline (sea); Land use, land-use change and forestry; Evapotranspiration; Water resource management; Land use; Drainage basin; Geography; Ecology; Agriculture","score_opus":0.05467148142367876,"score_gpt":0.252845789685193,"score_spread":0.19817430826151425,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3215518754","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99032384,0.0003457305,0.00001879181,0.008880748,0.00016311952,0.00015222181,0.000005713717,0.0000040193236,0.00010582896],"genre_scores_gemma":[0.99159604,0.005249124,0.000056724362,0.0029511468,0.00010345882,0.0000140002185,0.000004292729,0.0000061973283,0.000019011226],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990811,0.0001627312,0.00019650199,0.00013371243,0.00015925066,0.00026673687],"domain_scores_gemma":[0.9997111,0.00007114443,0.00008056148,0.00009858218,0.000010292369,0.000028334991],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000830794,0.00010214409,0.00014383857,0.000038120837,0.00030713138,0.000089843015,0.00010408837,0.000042374177,0.00007909904],"category_scores_gemma":[0.000010561081,0.000048368824,0.000036507296,0.00007372585,0.00011595348,0.00057973724,0.0003084076,0.00014902277,0.000015527736],"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":[0.00007619996,0.00009348754,0.9318578,0.00005437336,0.000045469194,0.00018157705,0.06512475,0.000031949658,0.0012213698,0.00006011415,0.00014712231,0.0011057445],"study_design_scores_gemma":[0.00064097304,0.00004831564,0.9948785,0.00003887706,0.0000638479,0.00008964715,0.001755612,0.00033640375,0.000109892884,0.00045987364,0.0014938068,0.00008429165],"about_ca_topic_score_codex":0.00019852941,"about_ca_topic_score_gemma":0.0005153297,"teacher_disagreement_score":0.06336914,"about_ca_system_score_codex":0.00002276589,"about_ca_system_score_gemma":7.035406e-7,"threshold_uncertainty_score":0.23622374},"labels":[],"label_agreement":null},{"id":"W3216470307","doi":"10.2166/wcc.2021.005","title":"Editorial: Assessment and adaptation to climate change impacts in cold regions","year":2021,"lang":"en","type":"editorial","venue":"Journal of Water and Climate Change","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":4,"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 Alberta","funders":"","keywords":"Adaptation (eye); Climate change; Climate change adaptation; Cold climate; Environmental science; Climatology; Environmental resource management; Psychology; Oceanography; Geology; Neuroscience","score_opus":0.05994333076325123,"score_gpt":0.29315920036405785,"score_spread":0.23321586960080662,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3216470307","genre_codex":"editorial","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"editorial","genre_consensus":"editorial","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.022373496,0.004508124,0.000003791598,0.0018921519,0.97018695,0.00034857425,0.00059083523,0.000009286148,0.00008678278],"genre_scores_gemma":[0.007939844,0.07217592,0.000329717,0.0002389519,0.9189609,0.000012699547,0.00031799916,0.000012688739,0.000011254268],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99806625,0.000080707374,0.00056280196,0.0002461523,0.0005654939,0.0004785964],"domain_scores_gemma":[0.9988478,0.00023421536,0.00028584452,0.000113673705,0.00028580346,0.00023265743],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008437193,0.00024479243,0.00054947234,0.00013058979,0.00020181558,0.00020501154,0.000117653544,0.0002717664,0.00008940375],"category_scores_gemma":[0.00006767942,0.00016836706,0.00007695127,0.00016996963,0.000032384025,0.00040492287,0.0000726234,0.00045592402,0.000004478285],"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":[0.00015670167,0.000053650856,0.033117667,0.0003763799,0.000062669074,0.00011417101,0.009167007,0.000014769732,0.000020715524,0.000011957641,0.9510863,0.005818032],"study_design_scores_gemma":[0.0008286464,0.00062503875,0.07202175,0.0007257735,0.000115707,0.000010222784,0.0030087717,0.000120077784,0.0000033473518,0.000042960644,0.9221919,0.00030581636],"about_ca_topic_score_codex":0.0012575955,"about_ca_topic_score_gemma":0.009359528,"teacher_disagreement_score":0.0676678,"about_ca_system_score_codex":0.000034738383,"about_ca_system_score_gemma":0.000050879968,"threshold_uncertainty_score":0.68658096},"labels":[],"label_agreement":null},{"id":"W4214546278","doi":"10.2166/wcc.2022.348","title":"Assessment of the hydrological drought risk in Calgary, Canada using weekly river flows of the past millennium","year":2022,"lang":"en","type":"article","venue":"Journal of Water and Climate Change","topic":"Hydrology and Drought Analysis","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 Regina","funders":"Alberta Innovates","keywords":"Streamflow; Climatology; Water resources; Physical geography; Environmental science; Water year; Climate change; Duration (music); Geography; Hydrology (agriculture); Drainage basin; Geology; Oceanography; Ecology; Cartography","score_opus":0.016636555360468454,"score_gpt":0.22909810744272324,"score_spread":0.21246155208225478,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4214546278","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9983087,0.00011852562,0.0000053393137,0.00092074013,0.00017800149,0.000075255455,0.000021172467,6.0600524e-7,0.00037164552],"genre_scores_gemma":[0.99942726,0.00017975841,0.00005844962,0.00027318095,0.000032958076,0.0000029492492,8.4306237e-7,0.000003901873,0.000020671012],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99871457,0.0003028013,0.00033574575,0.00010082717,0.00034779843,0.00019824042],"domain_scores_gemma":[0.9995279,0.000027046337,0.00026511517,0.00013550556,0.000007989717,0.000036491365],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006234576,0.00008278768,0.00022765233,0.000028398988,0.0002112313,0.000003550592,0.0002744348,0.000035769186,0.00060846476],"category_scores_gemma":[0.0000043589043,0.000038073988,0.00010895986,0.0001489497,0.00014681058,0.00006962551,0.00049967394,0.00030023046,2.6218308e-7],"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":[0.00003074789,0.00006354591,0.98930293,0.000008002052,0.000026988886,0.000019474774,0.0011405069,0.0054278774,0.003738949,0.0000034083362,0.00012085084,0.00011674048],"study_design_scores_gemma":[0.00051627174,0.00013196103,0.9768993,0.000013328493,0.00014614097,0.00007217835,0.00040032816,0.019288424,0.000772845,0.0001345396,0.0015383122,0.000086345135],"about_ca_topic_score_codex":0.062427294,"about_ca_topic_score_gemma":0.07325329,"teacher_disagreement_score":0.013860547,"about_ca_system_score_codex":0.00018281688,"about_ca_system_score_gemma":0.000020072805,"threshold_uncertainty_score":0.94381607},"labels":[],"label_agreement":null},{"id":"W4283662350","doi":"10.2166/wcc.2022.106","title":"Climate change impacts on the flow regime and water quality indicators using an artificial neural network (ANN): a case study in Saskatchewan, Canada","year":2022,"lang":"en","type":"article","venue":"Journal of Water and Climate Change","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":true,"ca_institutions":"University of Regina","funders":"Natural Sciences and Engineering Research Council of Canada; State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin; China Institute of Water Resources and Hydropower Research; Ministry of Agriculture - Saskatchewan","keywords":"Climate change; Environmental science; Downscaling; Precipitation; Streamflow; Water quality; Hydrology (agriculture); Climate change scenario; Representative Concentration Pathways; Range (aeronautics); Climate model; Climatology; Drainage basin; Meteorology; Ecology; Geography; Geology","score_opus":0.06746236073296069,"score_gpt":0.2842920771423907,"score_spread":0.21682971640943,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4283662350","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9968709,0.000053504868,2.2646012e-7,0.002358925,0.00027236043,0.000394251,0.000017968227,0.000005344126,0.00002653391],"genre_scores_gemma":[0.99792904,0.00005295541,0.0000061544774,0.0017724198,0.00018539191,0.000032954336,0.0000039504966,0.000012974901,0.000004135684],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9979801,0.00049289933,0.00038858195,0.00022860484,0.0003030241,0.0006067587],"domain_scores_gemma":[0.9995584,0.000033610606,0.00014032976,0.00014588269,0.000005369946,0.000116440606],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002058214,0.0001832845,0.0002873917,0.00007968382,0.0008651106,0.000045325356,0.00014099883,0.000031004594,0.00016701143],"category_scores_gemma":[0.0000030690296,0.000096489406,0.000033614415,0.00011047361,0.000104000756,0.00029068583,0.00062844047,0.00031675876,0.000001266985],"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":[0.0008199104,0.00057334104,0.7934062,0.000050907936,0.00009144277,0.008176632,0.18828115,0.0025144543,0.00043154904,0.0000048762668,0.00022397997,0.005425551],"study_design_scores_gemma":[0.0040479163,0.005138577,0.5253899,0.000101520665,0.00050038117,0.003887597,0.44982865,0.006941485,0.0011249062,0.0005694326,0.0010585242,0.0014111146],"about_ca_topic_score_codex":0.0714224,"about_ca_topic_score_gemma":0.4194258,"teacher_disagreement_score":0.3480034,"about_ca_system_score_codex":0.00014410242,"about_ca_system_score_gemma":0.000004430493,"threshold_uncertainty_score":0.9347611},"labels":[],"label_agreement":null},{"id":"W4293561568","doi":"10.2166/wcc.2022.184","title":"Determination of ice production in a natural river: a case study in the Inner Mongolia Reach of the Yellow River","year":2022,"lang":"en","type":"article","venue":"Journal of Water and Climate Change","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Northern British Columbia","funders":"National Defense Science and Technology Innovation Fund of the Chinese Academy of Sciences; National Natural Science Foundation of China","keywords":"Environmental science; Inner mongolia; Hydrology (agriculture); Heat flux; Flux (metallurgy); Atmospheric sciences; Ice formation; Heat transfer; Climatology; Geology; Geography; Mechanics; Materials science","score_opus":0.023572454829665215,"score_gpt":0.23630622206321153,"score_spread":0.2127337672335463,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4293561568","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9990565,0.00006605983,5.1226726e-7,0.00044263378,0.00021810048,0.0001825549,0.000011229903,6.142379e-7,0.000021795311],"genre_scores_gemma":[0.9997781,0.00007956517,0.000029133995,0.00005320533,0.000044222958,0.0000014721677,0.0000027052224,0.0000013222464,0.000010289425],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99919134,0.00019595973,0.00023598125,0.00006397821,0.00020852176,0.00010420783],"domain_scores_gemma":[0.9996946,0.0000381186,0.00015303008,0.00006778222,0.000035150984,0.0000113393735],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008565119,0.000052298084,0.00011452254,0.000087372544,0.00009068662,0.0000063731272,0.00011459951,0.000013036119,0.000020771064],"category_scores_gemma":[0.000012846488,0.000024396233,0.000032184722,0.0001409936,0.00006657727,0.00017633788,0.000030973915,0.00020056966,1.7791601e-7],"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":[0.00010028032,0.000092690556,0.87814134,0.000035265988,0.000005420121,0.0002231323,0.114570685,0.00008087246,0.000039333205,0.0000013169596,0.0000031265306,0.0067065596],"study_design_scores_gemma":[0.00053564267,0.00040245955,0.92831254,0.000034137647,0.000039414794,0.0018126918,0.065118544,0.0034390087,0.000043897402,0.00017643077,0.000029063182,0.000056170527],"about_ca_topic_score_codex":0.0021906926,"about_ca_topic_score_gemma":0.002456276,"teacher_disagreement_score":0.050171223,"about_ca_system_score_codex":0.000007945335,"about_ca_system_score_gemma":0.000006742818,"threshold_uncertainty_score":0.33116865},"labels":[],"label_agreement":null},{"id":"W4319920547","doi":"10.2166/wcc.2023.346","title":"Water, climate change and uncertainty in the Great Lakes and Rio Grande/Bravo Regions","year":2023,"lang":"en","type":"article","venue":"Journal of Water and Climate Change","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":"Wilfrid Laurier University; Toronto Metropolitan University; University of Toronto","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Corporate governance; Context (archaeology); Scarcity; Environmental resource management; Preparedness; Climate change; Environmental planning; Structural basin; Environmental science; Business; Geography; Political science; Economics; Ecology; Geology","score_opus":0.04905864329810896,"score_gpt":0.23180940916432383,"score_spread":0.18275076586621486,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4319920547","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.996337,0.0007308867,0.000008072098,0.0021047506,0.00014785155,0.00021551872,0.0000109464945,0.00004504957,0.00039995686],"genre_scores_gemma":[0.9681483,0.03132173,0.00001045412,0.0001776788,0.00023494224,0.000021947099,0.00003226863,0.000021453492,0.000031229065],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.9991395,0.000040355233,0.0002324599,0.00010404287,0.00012562428,0.00035800473],"domain_scores_gemma":[0.99979,0.000018712533,0.000032180436,0.000082694896,0.00001898692,0.000057395642],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00049299037,0.00014656698,0.00020213048,0.00023813143,0.00012012968,0.00014513073,0.0000884772,0.000052270123,0.0000102803],"category_scores_gemma":[0.0000019362806,0.00007377357,0.000034132576,0.0001005199,0.000042068812,0.00033694165,0.000085897576,0.0001271429,0.000005061351],"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":[0.00091672706,0.00022687986,0.16329682,0.007203136,0.0004849692,0.0018017231,0.75138575,0.0062549654,0.006363538,0.0014388672,0.004896855,0.055729784],"study_design_scores_gemma":[0.0300454,0.0032337683,0.34592846,0.005256951,0.0019365813,0.002355198,0.06437464,0.28918332,0.0055021076,0.011577923,0.23555478,0.005050852],"about_ca_topic_score_codex":0.000015238025,"about_ca_topic_score_gemma":0.000091217735,"teacher_disagreement_score":0.68701106,"about_ca_system_score_codex":0.000010817105,"about_ca_system_score_gemma":3.6737984e-7,"threshold_uncertainty_score":0.30083987},"labels":[],"label_agreement":null},{"id":"W4353065041","doi":"10.2166/wcc.2023.362","title":"Future water security under climate change: a perspective of the Grand River Watershed","year":2023,"lang":"en","type":"article","venue":"Journal of Water and Climate Change","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":true,"ca_institutions":"Ministry of the Environment, Conservation and Parks; University of Guelph","funders":"","keywords":"Water scarcity; Water security; Climate change; Watershed; Water resources; Streamflow; Environmental science; Water resource management; Scarcity; Watershed management; Irrigation; Hydrology (agriculture); Geography; Ecology; Drainage basin; Geology","score_opus":0.024460905162942047,"score_gpt":0.24840615449724174,"score_spread":0.22394524933429968,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4353065041","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97933435,0.00013328275,9.870065e-7,0.018710706,0.000523153,0.00025485625,0.000019167801,0.000017287648,0.0010062024],"genre_scores_gemma":[0.99521196,0.003523269,0.0000075947423,0.0008264766,0.00031797585,0.000016511885,0.000005330397,0.000014431231,0.00007642832],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.9985997,0.000105174746,0.00028462612,0.00020041272,0.00027177107,0.0005383286],"domain_scores_gemma":[0.9996194,0.000012338947,0.000111728,0.00015752231,0.000030712017,0.00006830401],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006599631,0.00018568004,0.00030170544,0.00008848825,0.0003112794,0.000021385102,0.00022757881,0.0000873014,0.00028279462],"category_scores_gemma":[0.000002613414,0.00008042372,0.0001456167,0.00012054561,0.00036339235,0.00038490776,0.00074853917,0.0001973851,0.00009922165],"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":[0.0012409688,0.00043550212,0.3648359,0.0005576943,0.00063477084,0.00028428834,0.6080452,0.00008275912,0.014933353,0.0010790998,0.0063208793,0.0015495918],"study_design_scores_gemma":[0.006679257,0.0012204199,0.8306922,0.00030424228,0.0010159125,0.00024395752,0.041852154,0.0002361032,0.04753451,0.046742175,0.022312447,0.0011666424],"about_ca_topic_score_codex":0.000060528535,"about_ca_topic_score_gemma":0.000071808965,"teacher_disagreement_score":0.56619304,"about_ca_system_score_codex":0.00005120484,"about_ca_system_score_gemma":7.7649366e-7,"threshold_uncertainty_score":0.32795843},"labels":[],"label_agreement":null},{"id":"W4360994758","doi":"10.2166/wcc.2023.507","title":"Assessing the performance of daily to subdaily temporal disaggregation methods for the IDF curve generation under climate change","year":2023,"lang":"en","type":"article","venue":"Journal of Water and Climate Change","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":true,"ca_institutions":"Wilfrid Laurier University; University of Ottawa","funders":"","keywords":"Precipitation; Environmental science; Quantile; Resampling; Climate change; Gamma distribution; Downscaling; Meteorology; Climatology; Watershed; Hurst exponent; Statistics; Computer science; Mathematics; Geography","score_opus":0.10440219514657413,"score_gpt":0.36883882271102286,"score_spread":0.26443662756444875,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4360994758","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9924307,0.00018276401,0.0016122198,0.0052668485,0.00022767598,0.00021725314,0.000006868193,0.0000066153452,0.000049067112],"genre_scores_gemma":[0.9968678,0.0012681782,0.0008376034,0.00061249064,0.00032422456,0.000041740055,0.00001566094,0.000009820194,0.000022511063],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999006,0.0001449264,0.0003096209,0.000118253396,0.0001609181,0.0002602824],"domain_scores_gemma":[0.9994949,0.0001076783,0.00020031063,0.00012298548,0.000027255752,0.000046861707],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026271278,0.000098854005,0.00017832787,0.00006131629,0.00038593094,0.00006706207,0.00015537335,0.0000521125,0.00007449637],"category_scores_gemma":[0.000013866312,0.00004545703,0.000088658744,0.00020869332,0.0000901958,0.0006630169,0.0001225966,0.000093676616,0.000016823366],"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":[0.00029527894,0.00013564952,0.6434013,0.00020376363,0.00021545307,0.000007986349,0.04672868,0.0034211907,0.10849676,0.00015860713,0.0008749347,0.19606034],"study_design_scores_gemma":[0.0010838413,0.0007767968,0.70964456,0.00012096284,0.0005788678,0.000058706293,0.0042467397,0.24354716,0.034868002,0.0006158747,0.004079421,0.00037908886],"about_ca_topic_score_codex":0.000041342908,"about_ca_topic_score_gemma":0.00009250666,"teacher_disagreement_score":0.24012597,"about_ca_system_score_codex":0.000028275845,"about_ca_system_score_gemma":0.0000022306122,"threshold_uncertainty_score":0.29683077},"labels":[],"label_agreement":null},{"id":"W4366975252","doi":"10.2166/wcc.2023.014","title":"Analysis of parameter uncertainty in SWAT model using a Bayesian Box–Cox transformation three-level factorial analysis method: a case of Naryn River Basin","year":2023,"lang":"en","type":"article","venue":"Journal of Water and Climate Change","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":"University of Regina","funders":"Xiamen University of Technology; Xiamen University; Chinese Academy of Sciences; National Natural Science Foundation of China","keywords":"Environmental science; Surface runoff; Glacier; Hydrology (agriculture); Climate change; Streamflow; Flood myth; Drainage basin; Statistics; Mathematics; Physical geography; Geography; Geology; Ecology","score_opus":0.07736729401714394,"score_gpt":0.31037847748209224,"score_spread":0.2330111834649483,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4366975252","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9820103,0.000011785586,0.017533474,0.00017568377,0.000048741604,0.00010448469,0.00006657619,0.0000037089521,0.000045254114],"genre_scores_gemma":[0.9985825,0.00017636942,0.0011500388,0.000045790894,0.000015887228,0.0000035284108,0.000016188254,0.000004972699,0.000004742127],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99877125,0.00011136226,0.00053394306,0.00014296887,0.0001948615,0.00024562425],"domain_scores_gemma":[0.99957216,0.000052174353,0.00020889175,0.00009904705,0.000019517922,0.00004818805],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001066323,0.00012564159,0.0005692097,0.0007416799,0.00007556696,0.000009108727,0.00008782745,0.00006906144,0.00010484992],"category_scores_gemma":[0.000007376148,0.000082066326,0.0002585244,0.00088484265,0.000105619,0.00037055556,0.00009519966,0.00009124418,0.0000010972832],"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":[0.00046809335,0.00012961627,0.3721992,0.00010805945,0.0030187601,0.0002381815,0.059482206,0.5591712,0.0028612232,0.000012436729,0.000012925759,0.0022981064],"study_design_scores_gemma":[0.00073481654,0.000114338356,0.06792193,0.000019616451,0.0046363897,0.000016728296,0.0011188398,0.9235383,0.00083580636,0.0009140311,0.000008776891,0.00014042384],"about_ca_topic_score_codex":0.0013828492,"about_ca_topic_score_gemma":0.0020048644,"teacher_disagreement_score":0.3643671,"about_ca_system_score_codex":0.0000523377,"about_ca_system_score_gemma":0.0000018427085,"threshold_uncertainty_score":0.33465677},"labels":[],"label_agreement":null},{"id":"W4372294528","doi":"10.2166/wcc.2023.509","title":"Enhancing environmental sustainability in eastern Canada's corn agroecosystem with controlled drainage and subsurface irrigation","year":2023,"lang":"en","type":"article","venue":"Journal of Water and Climate Change","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":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McGill University; University of Saskatchewan","funders":"Agriculture and Agri-Food Canada; McGill University","keywords":"Environmental science; Drainage; Sustainability; Irrigation; Productivity; Climate change; Life-cycle assessment; Agroecosystem; Water resource management; Eutrophication; Agriculture; Agricultural productivity; Environmental impact assessment; Water quality; Production (economics); Geography; Nutrient; Ecology","score_opus":0.007527526726173242,"score_gpt":0.19551515974744393,"score_spread":0.1879876330212707,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4372294528","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.998867,0.000038786035,0.0000058267196,0.0006618249,0.00007224787,0.000250819,0.000009973035,0.0000060197394,0.000087507564],"genre_scores_gemma":[0.99974775,0.00008652225,0.000009220239,0.000057799018,0.000026525391,0.000009490427,0.000008643793,0.000009383196,0.000044671273],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989583,0.00006198291,0.00029258485,0.00014649541,0.00023956956,0.00030105197],"domain_scores_gemma":[0.99968225,0.000030411828,0.00011260607,0.00006698454,0.000007588303,0.00010015597],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005351602,0.00011893107,0.00025529237,0.000049003604,0.00007848304,0.000033142467,0.0000624411,0.000033902114,0.000014034903],"category_scores_gemma":[0.000004993601,0.00007138274,0.000022500391,0.00006689952,0.000058735535,0.00024265426,0.0000970566,0.00009419926,0.0000036467125],"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":[0.00031216934,0.000026530433,0.9946071,0.00007232988,0.00000936583,0.00016636054,0.0034176835,0.000052678017,0.0007360003,0.0000026826722,0.000006109708,0.0005910259],"study_design_scores_gemma":[0.005197955,0.0003227152,0.97933114,0.00010963906,0.00004080224,0.00013575246,0.0077700885,0.0048881536,0.0010386902,0.00075978687,0.0001677346,0.00023757578],"about_ca_topic_score_codex":0.010391058,"about_ca_topic_score_gemma":0.048714366,"teacher_disagreement_score":0.03832331,"about_ca_system_score_codex":0.00029650502,"about_ca_system_score_gemma":0.0000080862665,"threshold_uncertainty_score":0.99619883},"labels":[],"label_agreement":null},{"id":"W4377093892","doi":"10.2166/wcc.2023.067","title":"Flux and stable isotope fractionation of CO2 in a mesic prairie headwater stream","year":2023,"lang":"en","type":"article","venue":"Journal of Water and Climate Change","topic":"Geology and Paleoclimatology Research","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 Waterloo","funders":"Pacific Northwest Research Station; U.S. Department of Agriculture; U.S. Forest Service; National Science Foundation","keywords":"Flux (metallurgy); Carbonate; Carbon cycle; Carbon dioxide; STREAMS; Karst; Isotopes of carbon; Hydrology (agriculture); Environmental science; δ13C; Stable isotope ratio; Vadose zone; δ18O; Environmental chemistry; Atmospheric sciences; Total organic carbon; Chemistry; Soil science; Geology; Ecology; Ecosystem; Soil water","score_opus":0.046892781789012794,"score_gpt":0.2771962521018626,"score_spread":0.2303034703128498,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4377093892","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9966193,0.00039199236,5.0112476e-7,0.0023442188,0.00009739736,0.000073654985,0.000027171553,0.0000037738564,0.0004420115],"genre_scores_gemma":[0.9984521,0.0012722731,0.000020352052,0.000058942027,0.0000363285,0.0000010041018,0.00005936837,0.0000015630784,0.0000980173],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99928266,0.00007977543,0.00021304288,0.00007967892,0.00011643865,0.00022839218],"domain_scores_gemma":[0.9997033,0.00008892326,0.000065220935,0.000039284485,0.000050153238,0.00005312553],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00068287767,0.00006017338,0.00017719813,0.00022712736,0.000060395763,0.000014216641,0.00004964805,0.00006809185,0.00047541087],"category_scores_gemma":[0.000012919423,0.000037138434,0.000017262008,0.00008989008,0.00007613605,0.00027138577,0.00001556206,0.0001386752,0.000033014465],"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":[0.00010441583,0.00001212967,0.99756217,0.00006574936,0.000010376305,0.00004896632,0.001065905,0.000010082178,0.000210909,0.000013957812,0.00010824429,0.00078708376],"study_design_scores_gemma":[0.00047222708,0.0002503108,0.99485373,0.000037093985,0.000009180222,0.00014720131,0.00057253067,0.0002671311,0.0018904761,0.00084688753,0.00060267537,0.0000505234],"about_ca_topic_score_codex":0.00010003362,"about_ca_topic_score_gemma":0.0011116582,"teacher_disagreement_score":0.002708418,"about_ca_system_score_codex":8.2138223e-7,"about_ca_system_score_gemma":0.000008398439,"threshold_uncertainty_score":0.52054155},"labels":[],"label_agreement":null},{"id":"W4380049291","doi":"10.2166/wcc.2023.062","title":"Evaluating the impact of projected CO2, temperature, and rainfall change on groundwater resources in a rice–wheat dominated cropping region of northwestern India","year":2023,"lang":"en","type":"article","venue":"Journal of Water and Climate Change","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":"McGill University","funders":"Indian Council of Agricultural Research","keywords":"Representative Concentration Pathways; Environmental science; Evapotranspiration; Climate change; Groundwater; Cropping; Irrigation; MODFLOW; Agriculture; Hydrology (agriculture); Water resource management; Climate model; Agronomy; Aquifer; Groundwater flow; Geography; Geology; Ecology","score_opus":0.07101552308605263,"score_gpt":0.3178112163993862,"score_spread":0.24679569331333356,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4380049291","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9991883,0.00013116855,6.283794e-7,0.00026911948,0.000052166877,0.00029711632,0.0000061514615,0.0000062331164,0.000049108563],"genre_scores_gemma":[0.9993574,0.00041931047,0.000007288714,0.000065013,0.00005798043,0.000024779612,0.0000062426247,0.000010922848,0.000051055285],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987555,0.0001487904,0.00040600784,0.00014611136,0.0002827498,0.00026082722],"domain_scores_gemma":[0.9995176,0.00006739444,0.00023108177,0.0000954133,0.000046712034,0.000041804487],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00088437105,0.00014839474,0.00030262533,0.00020316908,0.000112148526,0.000044107954,0.00011009784,0.000057578327,0.00001375944],"category_scores_gemma":[0.0000120609375,0.00007201974,0.00006974797,0.00026041022,0.00012924244,0.00030347204,0.00017136888,0.00014363341,0.0000025450324],"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":[0.0006967501,0.00014632544,0.7011066,0.00019163756,0.00008732325,0.00008549365,0.1674877,0.000015145294,0.118001856,0.000002179957,0.000043819608,0.012135171],"study_design_scores_gemma":[0.0011306672,0.0011245603,0.99225783,0.00026001778,0.000031152686,0.00006618927,0.0025446168,0.00015254073,0.0022837212,0.00002387496,0.000023544166,0.000101294594],"about_ca_topic_score_codex":0.0011282662,"about_ca_topic_score_gemma":0.00023334607,"teacher_disagreement_score":0.29115123,"about_ca_system_score_codex":0.000058027694,"about_ca_system_score_gemma":0.000002752384,"threshold_uncertainty_score":0.293688},"labels":[],"label_agreement":null},{"id":"W4385698323","doi":"10.2166/wcc.2023.187","title":"Stochastic modeling of spatial dependency structures of extreme precipitation in the Northern Great Plains using max-stable processes","year":2023,"lang":"en","type":"article","venue":"Journal of Water and Climate Change","topic":"Climate variability and models","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":true,"ca_institutions":"University of Prince Edward Island","funders":"","keywords":"Precipitation; Climatology; Extreme value theory; Covariate; Longitude; Latitude; Generalized extreme value distribution; Environmental science; Spatial variability; Spatial ecology; Climate change; Geographic coordinate system; Physical geography; Geography; Meteorology; Mathematics; Statistics; Geology; Cartography; Ecology; Geodesy","score_opus":0.09850101798646048,"score_gpt":0.2747152730883115,"score_spread":0.17621425510185101,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385698323","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99840957,0.000051958352,0.0012019549,0.00007022706,0.000050495055,0.00014058307,0.000022161124,0.0000028411346,0.000050191877],"genre_scores_gemma":[0.9996356,0.0001672927,0.00013405041,0.00001118206,0.000035230594,0.000003127629,0.000005473764,0.000006518795,0.00000153417],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990827,0.000042836236,0.0003455482,0.0000931654,0.00025815552,0.00017762807],"domain_scores_gemma":[0.99967486,0.000046528636,0.00014396526,0.000073610434,0.0000352008,0.00002584741],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005544909,0.00007839541,0.00016949803,0.000075177886,0.000056219073,0.000014610247,0.00011799269,0.00003909079,0.00007870456],"category_scores_gemma":[0.000027691913,0.00004545728,0.00003313158,0.00012181448,0.000046168378,0.00028248964,0.0000730798,0.00007761797,8.4959925e-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":[0.0003683863,0.00017485618,0.16159035,0.0008242791,0.000025902707,0.000019448964,0.09809019,0.6831616,0.053283483,0.000021101623,0.0000023383557,0.0024380502],"study_design_scores_gemma":[0.0019153492,0.000623528,0.047699604,0.00065268646,0.00021602868,0.00014030757,0.012324998,0.9074052,0.006708703,0.021916721,0.000006707885,0.00039017398],"about_ca_topic_score_codex":0.00073834957,"about_ca_topic_score_gemma":0.002091953,"teacher_disagreement_score":0.22424358,"about_ca_system_score_codex":0.000031252952,"about_ca_system_score_gemma":0.000007454301,"threshold_uncertainty_score":0.18536942},"labels":[],"label_agreement":null},{"id":"W4385761072","doi":"10.2166/wcc.2023.429","title":"The new ‘surface storage’ concept versus the old ‘sponge effect’ concept: application to the analysis of the spatio-temporal variability of the annual daily maximum flow characteristics in southern Quebec (Canada)","year":2023,"lang":"en","type":"article","venue":"Journal of Water and Climate Change","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":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":"Wetland; Hydrology (agriculture); Snowmelt; Surface runoff; Environmental science; Shore; Water storage; Duration (music); Surface water; Period (music); Magnitude (astronomy); Water level; STREAMS; Spatial variability; Physical geography; Geography; Ecology; Geology; Oceanography; Cartography","score_opus":0.00983282630138966,"score_gpt":0.2200086403753827,"score_spread":0.21017581407399305,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385761072","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98374605,0.000034038472,0.000043156277,0.015292689,0.00032189977,0.00041574534,0.000102281985,0.0000031718293,0.00004094874],"genre_scores_gemma":[0.9994332,0.000050789047,0.0000030563665,0.00027246532,0.00005849452,0.00001127914,0.000007884413,0.0000057937473,0.0001570397],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99853516,0.0003873558,0.0003579433,0.00013531411,0.00035257044,0.00023164047],"domain_scores_gemma":[0.99907607,0.00024644818,0.00028657113,0.00033027632,0.000025427958,0.0000352196],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016168654,0.00012181127,0.00025455194,0.000021369417,0.0003279512,0.000021500719,0.0005125095,0.000040994684,0.00003933453],"category_scores_gemma":[0.00004620865,0.000042037984,0.00010325633,0.0003960757,0.00033111003,0.00007857903,0.0004322069,0.0001707194,0.0000039221713],"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":[0.0009461485,0.00006261459,0.86936516,0.000040368366,0.00061381183,0.0000049895298,0.101452336,0.015410472,0.0005361054,0.000052448126,0.0033867776,0.008128798],"study_design_scores_gemma":[0.0005635816,0.000092215494,0.98599744,0.000017389593,0.00044381875,7.357897e-7,0.0054812822,0.0024521563,0.0003848238,0.00008445594,0.004388797,0.00009331159],"about_ca_topic_score_codex":0.0273769,"about_ca_topic_score_gemma":0.22289488,"teacher_disagreement_score":0.19551797,"about_ca_system_score_codex":0.00008537453,"about_ca_system_score_gemma":0.000012747319,"threshold_uncertainty_score":0.97909987},"labels":[],"label_agreement":null},{"id":"W4386607647","doi":"10.2166/wcc.2023.203","title":"Discriminant analysis of the freeze-up and break-up conditions in the Inner Mongolia Reach of the Yellow River","year":2023,"lang":"en","type":"article","venue":"Journal of Water and Climate Change","topic":"Arctic and Antarctic ice dynamics","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 Northern British Columbia","funders":"National Key Research and Development Program of China; National Natural Science Foundation of China","keywords":"Ice formation; Inner mongolia; Volume (thermodynamics); Channel (broadcasting); Downstream (manufacturing); Environmental science; Upstream (networking); Hydrology (agriculture); Geology; Atmospheric sciences; Geography; Geotechnical engineering; Engineering; Thermodynamics; Physics","score_opus":0.028297537938564248,"score_gpt":0.2403543342926943,"score_spread":0.21205679635413005,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386607647","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9971398,0.00006198889,0.0000016692317,0.0021941697,0.00019687893,0.000069408496,0.0001903395,0.00000119587,0.0001445403],"genre_scores_gemma":[0.9986659,0.0010091029,0.000004912842,0.00017935764,0.000038343165,5.10218e-7,0.000021506738,0.0000017229687,0.00007862607],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992365,0.00009531593,0.00024713163,0.00006579448,0.0001993256,0.00015591295],"domain_scores_gemma":[0.9995826,0.00008242251,0.00014740262,0.000121829835,0.000038053866,0.000027673088],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00048987305,0.00006989244,0.0001882049,0.00010466921,0.00013100452,0.000016509175,0.00019459067,0.00003173737,0.000063210064],"category_scores_gemma":[0.000011510521,0.000024607592,0.000106942025,0.0003498121,0.0002473323,0.00011989488,0.00004211248,0.000126566,0.0000012184947],"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":[0.000025729563,0.000012887286,0.97171736,0.00004441065,0.00008988268,0.0000060524567,0.026918845,0.0000695765,0.00016948019,0.00007031613,0.00012424546,0.00075121375],"study_design_scores_gemma":[0.00017911509,0.000040636158,0.98911476,0.000053261603,0.0003642535,0.000028194294,0.006993095,0.0023633156,0.000065907785,0.00063281646,0.00012401771,0.000040608164],"about_ca_topic_score_codex":0.0012051573,"about_ca_topic_score_gemma":0.0020130957,"teacher_disagreement_score":0.01992575,"about_ca_system_score_codex":0.000002141589,"about_ca_system_score_gemma":0.000006560433,"threshold_uncertainty_score":0.18218453},"labels":[],"label_agreement":null},{"id":"W4387381848","doi":"10.2166/wcc.2023.207","title":"Evaluation of statistical downscaling model's performance in projecting future climate change scenarios","year":2023,"lang":"en","type":"article","venue":"Journal of Water and Climate Change","topic":"Climate variability and models","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 Guelph","funders":"Indian Institute of Technology Roorkee; Department of Science and Technology, Ministry of Science and Technology, India","keywords":"Downscaling; HadCM3; Climatology; Climate change; Environmental science; Precipitation; Scale (ratio); General Circulation Model; Statistical model; Meteorology; GCM transcription factors; Statistics; Mathematics; Geography; Geology; Cartography","score_opus":0.10171371496970734,"score_gpt":0.31485905597643915,"score_spread":0.21314534100673183,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387381848","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9985841,0.000059163962,0.000023100354,0.00043041055,0.00016925414,0.00033400493,0.000039585015,0.000011535023,0.00034887376],"genre_scores_gemma":[0.9972159,0.0021639706,0.00032028338,0.00006440189,0.00017380742,0.00003211611,0.000015165318,0.000012689287,0.0000016667911],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9981298,0.000115647046,0.00050336414,0.00018321411,0.0006424688,0.00042552222],"domain_scores_gemma":[0.9995486,0.000034705143,0.00016897752,0.0001082847,0.00006156677,0.00007784185],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0049125487,0.00013065794,0.0002661519,0.00013775498,0.00010190712,0.000025831501,0.00010918588,0.00008473258,0.00018354846],"category_scores_gemma":[0.000028372953,0.00008971406,0.000047357327,0.00018907675,0.0000645095,0.0005931459,0.00019216858,0.00019316393,0.000014824514],"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":[0.00075975235,0.00065698137,0.615042,0.0016592976,0.000055463326,0.00005965838,0.121998556,0.051069822,0.024862956,0.00027140178,0.000071027105,0.18349312],"study_design_scores_gemma":[0.0011176013,0.00021064983,0.08893802,0.00024430954,0.00010946862,0.00003589291,0.0015738462,0.9060494,0.0007608506,0.00073392247,0.000042419953,0.00018366256],"about_ca_topic_score_codex":0.00004313267,"about_ca_topic_score_gemma":0.00009106119,"teacher_disagreement_score":0.8549795,"about_ca_system_score_codex":0.00012711958,"about_ca_system_score_gemma":0.0000075146722,"threshold_uncertainty_score":0.36584333},"labels":[],"label_agreement":null},{"id":"W4391142966","doi":"10.2166/wcc.2024.447","title":"Identifying yield and growing season precipitation gaps for maize and millet in Cameroon","year":2024,"lang":"en","type":"article","venue":"Journal of Water and Climate Change","topic":"Climate change impacts on agriculture","field":"Agricultural and Biological 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":false,"ca_institutions":"Université de Moncton; Université du Québec en Abitibi-Témiscamingue","funders":"Université du Québec en Abitibi-Témiscamingue","keywords":"Precipitation; Yield (engineering); Agriculture; Cru; Growing season; Climate change; Yield gap; Environmental science; Christian ministry; Agronomy; Climatology; Geography; Mathematics; Meteorology; Biology; Political science; Ecology; Geology","score_opus":0.0766655103866253,"score_gpt":0.2842015702165741,"score_spread":0.20753605982994883,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391142966","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9903447,0.0063495794,8.760653e-7,0.0028537137,0.00018235897,0.00017726657,0.00004779708,0.000010923372,0.00003279399],"genre_scores_gemma":[0.9904712,0.008899551,0.000048747046,0.0001854687,0.00034486016,0.000010849815,0.000020115811,0.0000018070664,0.000017402788],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9993053,0.000020714619,0.00020709136,0.00014395342,0.00009186191,0.00023107708],"domain_scores_gemma":[0.9996887,0.00011570828,0.000053541833,0.000013481843,0.000038636394,0.00008995727],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038420543,0.00011033362,0.00017602723,0.000037971287,0.000077088494,0.00019325508,0.000044001692,0.000073808376,0.000037964965],"category_scores_gemma":[0.000019858833,0.000036380712,0.0000431826,0.000077873236,0.00002148381,0.0005680851,0.000048209444,0.00010708901,7.7791157e-7],"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":[0.00020559055,0.00005552258,0.015748639,0.00085126044,0.00003743225,0.00007809744,0.021035058,1.9002698e-7,0.86413914,0.00008857742,0.0004742453,0.09728627],"study_design_scores_gemma":[0.0017441506,0.0027526096,0.86861885,0.00603969,0.00033635035,0.0014354328,0.0534299,0.00031600913,0.04846995,0.0041303043,0.011651465,0.0010752913],"about_ca_topic_score_codex":0.00004436872,"about_ca_topic_score_gemma":0.00028740743,"teacher_disagreement_score":0.8528702,"about_ca_system_score_codex":0.00001768171,"about_ca_system_score_gemma":8.841828e-7,"threshold_uncertainty_score":0.18635632},"labels":[],"label_agreement":null},{"id":"W4392847727","doi":"10.2166/wcc.2024.555","title":"Sensitivity of bias correction step on generating hydrological scenarios","year":2024,"lang":"en","type":"article","venue":"Journal of Water and Climate Change","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 2020 Framework Programme; European Commission","keywords":"Climate change; Sensitivity (control systems); Vulnerability (computing); Environmental science; Quantile; Robustness (evolution); Computer science; Climate model; Scale (ratio); Climate sensitivity; Adaptation (eye); Econometrics; Climatology; Mathematics; Geography","score_opus":0.04541933835283679,"score_gpt":0.2540756597146224,"score_spread":0.20865632136178563,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392847727","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99729335,0.00008706647,0.00008764429,0.0010444915,0.00053877325,0.000054626373,0.0000018816293,0.000009491339,0.0008826793],"genre_scores_gemma":[0.99898136,0.00045041222,0.00005252099,0.00031217982,0.00013239114,0.0000016628877,0.0000011907936,0.0000041921116,0.00006406516],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99936205,0.00009322539,0.0001733697,0.000102894664,0.00011757804,0.00015085995],"domain_scores_gemma":[0.99982435,0.000049916274,0.000049775994,0.000040027808,0.000005497591,0.000030454048],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000829265,0.000076106066,0.00014713411,0.000047149042,0.000086210566,0.00001703104,0.000029163406,0.000040697203,0.00011968242],"category_scores_gemma":[0.000011048457,0.000041421863,0.000048904287,0.00003830131,0.000080196514,0.00014398704,0.00010178008,0.000120563534,0.000030245534],"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":[0.0011008515,0.00075452455,0.55363196,0.0006014825,0.000532161,0.0023890366,0.03377464,0.009173918,0.2125589,0.00023766024,0.012946329,0.17229855],"study_design_scores_gemma":[0.0036629252,0.011103462,0.37645516,0.0016235325,0.0011212676,0.00227968,0.003698111,0.41221833,0.140911,0.001548518,0.043700717,0.0016773089],"about_ca_topic_score_codex":0.00003107327,"about_ca_topic_score_gemma":0.000029853756,"teacher_disagreement_score":0.4030444,"about_ca_system_score_codex":0.000021811587,"about_ca_system_score_gemma":5.218057e-7,"threshold_uncertainty_score":0.16891345},"labels":[],"label_agreement":null},{"id":"W4393036978","doi":"10.2166/wcc.2024.706","title":"Deep learning modeling framework for multi-resolution streamflow generation","year":2024,"lang":"en","type":"article","venue":"Journal of Water and Climate Change","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"National Research Council Canada; McGill University","funders":"Canadian Space Agency; Trottier Institute for Sustainability in Engineering and Design; Alliance de recherche numérique du Canada; Natural Sciences and Engineering Research Council of Canada; McGill University","keywords":"Streamflow; Environmental science; Climatology; Climate change; Range (aeronautics); Hydrological modelling; Surface runoff; Hydrology (agriculture); Climate model; Drainage basin; Meteorology; Geography; Geology; Cartography","score_opus":0.07305451545940513,"score_gpt":0.29136073893723097,"score_spread":0.21830622347782586,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393036978","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6566145,0.0011143406,0.34031528,0.0012696896,0.0004586968,0.00013039344,0.000001548296,0.000019773302,0.000075795484],"genre_scores_gemma":[0.9900706,0.0018844119,0.0075564487,0.00012080598,0.0003061581,0.000011631434,0.0000061313317,0.000007896256,0.000035929457],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999493,0.000021172755,0.00014342983,0.000099156496,0.00007133203,0.00017189572],"domain_scores_gemma":[0.999898,0.000011451449,0.000026685202,0.000027599985,0.0000072259736,0.000029029308],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003258239,0.00006797743,0.000090456124,0.000039522623,0.00017797935,0.0000408293,0.00003776267,0.000046267924,0.000060665327],"category_scores_gemma":[0.00000802591,0.000042373715,0.000043350425,0.000024764558,0.000024936175,0.00028113674,0.00006439767,0.00010964716,0.000016703634],"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":[0.00053116627,0.0003818646,0.07159404,0.0010735083,0.00065060204,0.00020830399,0.11019996,0.6185548,0.024302185,0.0030741806,0.0010064285,0.16842297],"study_design_scores_gemma":[0.00016947319,0.00012829642,0.00032010264,0.000045395478,0.000058333375,0.000009727458,0.00026933316,0.9965989,0.0002936475,0.0009784288,0.0010585506,0.00006978966],"about_ca_topic_score_codex":0.0000074303607,"about_ca_topic_score_gemma":0.000017063208,"teacher_disagreement_score":0.37804413,"about_ca_system_score_codex":0.000027871494,"about_ca_system_score_gemma":3.7507374e-7,"threshold_uncertainty_score":0.172795},"labels":[],"label_agreement":null},{"id":"W4393306584","doi":"10.2166/wcc.2024.498","title":"Vulnerability of maize, barley, and wheat yields to growing season temperature and socioeconomic indicators in Morocco","year":2024,"lang":"en","type":"article","venue":"Journal of Water and Climate Change","topic":"Climate change impacts on agriculture","field":"Agricultural and Biological 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":"Université du Québec en Abitibi-Témiscamingue","funders":"Fondation OCP","keywords":"Vulnerability (computing); Socioeconomic status; Agronomy; Growing season; Environmental science; Geography; Biology; Environmental health; Medicine; Computer science; Population","score_opus":0.02443340965824499,"score_gpt":0.25484531296251756,"score_spread":0.23041190330427258,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393306584","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99205714,0.002653879,2.6617695e-8,0.0048694736,0.00011982396,0.00015183282,0.00007919081,0.000009595391,0.000059046895],"genre_scores_gemma":[0.99600345,0.0033859638,0.000014099219,0.00033493488,0.00023391431,0.00000501538,0.000009715557,0.0000018758586,0.000011026049],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99910647,0.00004905198,0.0002986009,0.00019174752,0.00009760498,0.00025653638],"domain_scores_gemma":[0.99962974,0.00006742202,0.00005823585,0.000027352502,0.00003392678,0.00018334115],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004987825,0.00014832792,0.0003074715,0.000081060876,0.00006339943,0.000114699316,0.0000809754,0.00014056981,0.00013079033],"category_scores_gemma":[0.000012182969,0.00004914733,0.000050417697,0.00015776353,0.000048010123,0.0004422601,0.0001088326,0.00023386219,0.0000016280105],"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":[0.00015888608,0.00008399392,0.22950616,0.0004546646,0.00003899081,0.00006186896,0.013307687,3.4111005e-7,0.72594887,0.000072521114,0.00034253174,0.030023448],"study_design_scores_gemma":[0.00035814458,0.0007857884,0.963691,0.0006149796,0.000055856653,0.00024361021,0.006501411,0.0000099641875,0.02573469,0.00032590877,0.0013890155,0.00028966292],"about_ca_topic_score_codex":0.00006166005,"about_ca_topic_score_gemma":0.00024591346,"teacher_disagreement_score":0.7341848,"about_ca_system_score_codex":0.000032629458,"about_ca_system_score_gemma":0.000002715312,"threshold_uncertainty_score":0.200417},"labels":[],"label_agreement":null},{"id":"W4395038466","doi":"10.2166/wcc.2024.631","title":"Impacts of climate change on food system security and sustainability in Bangladesh","year":2024,"lang":"en","type":"article","venue":"Journal of Water and Climate Change","topic":"Climate change impacts on agriculture","field":"Agricultural and Biological Sciences","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 Toronto; University of Windsor; Western University","funders":"King Faisal University; King Fahd University of Petroleum and Minerals","keywords":"Sustainability; Food security; Climate change; Business; Natural resource economics; Environmental resource management; Environmental planning; Environmental economics; Environmental science; Economics; Geography; Oceanography; Ecology; Agriculture","score_opus":0.03532511373504766,"score_gpt":0.26164721651530937,"score_spread":0.2263221027802617,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4395038466","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99275666,0.0035576245,2.6619695e-8,0.0025428245,0.00021946695,0.000386523,0.0003054073,0.00003062959,0.00020085167],"genre_scores_gemma":[0.99185866,0.0075058048,0.0000026025184,0.000115554234,0.00047427462,0.000016498387,0.000022137428,0.0000033107353,0.0000011559249],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99835426,0.00011285879,0.00050356286,0.00024689359,0.00023777384,0.0005446255],"domain_scores_gemma":[0.9993124,0.00010463587,0.00016347131,0.00005548194,0.00014804352,0.00021595534],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00088563864,0.00023945328,0.00046794754,0.000091450194,0.00007548951,0.00011582714,0.00013388204,0.00016354617,0.00005228255],"category_scores_gemma":[0.000023611308,0.000077043034,0.00012180095,0.00025989898,0.000065643384,0.00049065665,0.00013913601,0.0002725775,0.0000024994722],"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":[0.0035242145,0.0022510174,0.49446604,0.029799394,0.00035657414,0.0021559373,0.18301678,7.0642767e-7,0.097494535,0.006657707,0.0004938694,0.17978323],"study_design_scores_gemma":[0.0015501829,0.009152803,0.91549075,0.0060050003,0.00021611863,0.0012511166,0.048480693,0.00010954879,0.012467537,0.0018605124,0.0024957217,0.0009200198],"about_ca_topic_score_codex":0.00015236849,"about_ca_topic_score_gemma":0.00074849057,"teacher_disagreement_score":0.4210247,"about_ca_system_score_codex":0.00012085213,"about_ca_system_score_gemma":0.000003866636,"threshold_uncertainty_score":0.31417236},"labels":[],"label_agreement":null},{"id":"W4400135434","doi":"10.2166/wcc.2024.185","title":"The road to net-zero in Canada through regionalization and segmentation of GHG emissions and the role of water resources management","year":2024,"lang":"en","type":"article","venue":"Journal of Water and Climate Change","topic":"Environmental Impact and Sustainability","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 Prince Edward Island","funders":"Environment and Climate Change Canada","keywords":"Greenhouse gas; Environmental science; Zero emission; Net (polyhedron); Water resources; Zero (linguistics); Segmentation; Natural resource economics; Business; Environmental resource management; Water resource management; Economics; Computer science; Engineering; Geology; Waste management; Oceanography; Ecology; Mathematics; Artificial intelligence","score_opus":0.010271039583195044,"score_gpt":0.23019674669297513,"score_spread":0.2199257071097801,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400135434","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99634725,0.0009134229,0.000007796349,0.0021893948,0.000028645587,0.00016544406,0.000003423465,7.53961e-7,0.0003438714],"genre_scores_gemma":[0.9972765,0.0025075108,0.000028584183,0.00011415632,0.000009993109,0.0000054426373,0.0000015297235,0.0000035746793,0.000052701802],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993802,0.000052132087,0.00020982337,0.00007079917,0.00016594559,0.000121134704],"domain_scores_gemma":[0.999842,0.000022855005,0.000038923263,0.000055025783,0.0000038360686,0.000037398335],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000386692,0.000057414614,0.00009394865,0.000017151975,0.000075462456,0.000024138719,0.00005319466,0.000013204108,0.000035944504],"category_scores_gemma":[0.0000025770432,0.000023393555,0.000015981148,0.00003782663,0.0001161643,0.00015746408,0.00013385114,0.000043994296,2.986981e-7],"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":[0.0009894816,0.00011224047,0.6421466,0.0005833482,0.00011381672,0.000050486728,0.22429495,0.00043958848,0.03116133,0.0005017739,0.0005514789,0.099054955],"study_design_scores_gemma":[0.0018044215,0.000326791,0.84543467,0.00036248498,0.00014996498,0.00008018008,0.071851715,0.0012309155,0.04106977,0.013965579,0.023473479,0.000250065],"about_ca_topic_score_codex":0.033497185,"about_ca_topic_score_gemma":0.016838143,"teacher_disagreement_score":0.20328808,"about_ca_system_score_codex":0.00009639329,"about_ca_system_score_gemma":0.000002313672,"threshold_uncertainty_score":0.97293884},"labels":[],"label_agreement":null},{"id":"W4400854566","doi":"10.2166/wcc.2024.197","title":"Effects of climate change and land use on the hydrologic regime using the Hydro-BID tool: A case study of the Andean mountain basin in Colombia","year":2024,"lang":"en","type":"article","venue":"Journal of Water and Climate Change","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":"","keywords":"Land cover; Watershed; Environmental science; Land use; Hydrology (agriculture); Structural basin; Land use, land-use change and forestry; Climate change; Drainage basin; Physical geography; Streamflow; Vegetation (pathology); Climatology; Geography; Geology; Cartography; Ecology; Geomorphology","score_opus":0.04564820138098949,"score_gpt":0.2574004262897287,"score_spread":0.2117522249087392,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400854566","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99710375,0.00027522602,3.463399e-7,0.0018064704,0.00012429919,0.00062734185,0.000006102258,0.0000041454846,0.000052290576],"genre_scores_gemma":[0.9981653,0.0013034495,0.000003014487,0.00044938308,0.000040141964,0.00002066459,2.4602966e-7,0.00000881781,0.000008969824],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988424,0.00029920283,0.00027882465,0.00015330744,0.00017205013,0.00025419428],"domain_scores_gemma":[0.9994948,0.00020967168,0.00012674608,0.00013887236,0.000006392215,0.000023508686],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011274252,0.00013983523,0.0002591285,0.000063849235,0.00021515603,0.000041434465,0.00013692344,0.000046050132,0.000015561895],"category_scores_gemma":[0.000014591977,0.00005386953,0.000049652655,0.00012371666,0.00023610912,0.0002233978,0.00040842805,0.00019645003,0.000001261618],"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":[0.00031926745,0.00036686598,0.9384929,0.00029563252,0.00013506516,0.0016454677,0.055858072,0.000084118954,0.0018098167,0.000036982332,0.00008506906,0.00087074074],"study_design_scores_gemma":[0.0054114806,0.0057008206,0.94744337,0.0013146055,0.0014395748,0.0027365594,0.017521154,0.0107728895,0.004842626,0.0010895433,0.0010779698,0.00064942555],"about_ca_topic_score_codex":0.0007802016,"about_ca_topic_score_gemma":0.0005939534,"teacher_disagreement_score":0.038336918,"about_ca_system_score_codex":0.000029421903,"about_ca_system_score_gemma":0.0000010501784,"threshold_uncertainty_score":0.21967356},"labels":[],"label_agreement":null},{"id":"W4402751858","doi":"10.2166/wcc.2024.356","title":"Performance comparison of four daily weather generators for historical period and downscaling future GCM scenarios","year":2024,"lang":"en","type":"article","venue":"Journal of Water and Climate Change","topic":"Meteorological Phenomena and Simulations","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":"","keywords":"Downscaling; GCM transcription factors; Climatology; Period (music); Environmental science; Meteorology; Climate change; General Circulation Model; Precipitation; Geography; Geology; Oceanography","score_opus":0.062145946016706526,"score_gpt":0.25952220206268517,"score_spread":0.19737625604597864,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402751858","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99096483,0.0075241034,0.000026873546,0.0007461384,0.00051165116,0.000074732205,0.000025386176,0.000005291458,0.00012101246],"genre_scores_gemma":[0.99790686,0.0008546215,0.0004991824,0.000059912814,0.00064649474,7.241044e-7,0.000009055973,0.0000027787496,0.000020347145],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993557,0.000022343616,0.00026655148,0.00009030146,0.000108433436,0.00015670092],"domain_scores_gemma":[0.9997447,0.000039015806,0.000055870525,0.000037413945,0.00003756919,0.00008540584],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028883788,0.000079758356,0.00022126622,0.000069537906,0.00011971385,0.000047411722,0.00005179192,0.00005263427,0.00018315797],"category_scores_gemma":[0.000003940428,0.000041731844,0.000054027132,0.00004100127,0.000025902775,0.0001769416,0.000008188883,0.000100061465,0.0000020866084],"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":[0.00040205513,0.000050058425,0.80594546,0.0007420239,0.00008020184,0.00002142516,0.018543184,0.0008540835,0.0017020248,0.000077922195,0.00042989673,0.17115168],"study_design_scores_gemma":[0.002701029,0.0059334403,0.37854058,0.00042950088,0.00052369107,0.00034066738,0.0046046614,0.49534678,0.0013195473,0.0013518111,0.1080787,0.0008295856],"about_ca_topic_score_codex":0.0000097845295,"about_ca_topic_score_gemma":0.00002068945,"teacher_disagreement_score":0.49449268,"about_ca_system_score_codex":0.0000064624514,"about_ca_system_score_gemma":0.0000052805985,"threshold_uncertainty_score":0.20054513},"labels":[],"label_agreement":null},{"id":"W4407326094","doi":"10.2166/wcc.2025.645","title":"Hybridizing persistent homology and machine learning for oceanographic time series","year":2025,"lang":"en","type":"article","venue":"Journal of Water and Climate Change","topic":"Topological and Geometric Data Analysis","field":"Computer 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":"","keywords":"Support vector machine; Cluster analysis; Machine learning; Artificial intelligence; Computer science; Buoy; Time series; Data mining; Regression; Hierarchical clustering; Engineering; Mathematics; Statistics","score_opus":0.02861044477818587,"score_gpt":0.24100395671265173,"score_spread":0.21239351193446587,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407326094","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9480785,0.016364198,0.016187597,0.018379992,0.00037319338,0.00017422478,0.000026285275,0.000044147302,0.0003718661],"genre_scores_gemma":[0.99246055,0.0045780474,0.002177339,0.0004191281,0.00006714552,0.0000034115699,0.000008859489,0.0000030439667,0.0002824775],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99939096,0.00003641753,0.00018898424,0.0001260946,0.00006573595,0.00019182923],"domain_scores_gemma":[0.9996902,0.0000513549,0.00007421146,0.00006686085,0.000063962536,0.00005344225],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039504704,0.00007684192,0.00022278786,0.00033664244,0.00016902777,0.0001005623,0.00016594084,0.000031229327,0.000011137765],"category_scores_gemma":[0.000022821518,0.0000442449,0.00010462061,0.00019874505,0.000050680403,0.00032871796,0.00021583875,0.00009265074,0.0000010345153],"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":[0.0013588252,0.0009938044,0.32394576,0.0022951348,0.003516384,0.00083015405,0.023237385,0.00010877538,0.015820086,0.04230465,0.004173805,0.58141524],"study_design_scores_gemma":[0.019350283,0.026797153,0.17819619,0.0015436261,0.004816732,0.010180936,0.008662445,0.12296162,0.022162504,0.07219499,0.5290373,0.004096198],"about_ca_topic_score_codex":0.0000041085837,"about_ca_topic_score_gemma":0.0000015149367,"teacher_disagreement_score":0.577319,"about_ca_system_score_codex":0.0000058858864,"about_ca_system_score_gemma":0.000002697514,"threshold_uncertainty_score":0.18042548},"labels":[],"label_agreement":null},{"id":"W4408368355","doi":"10.2166/wcc.2025.353","title":"Hydrokinetic resource assessment for the Canadian Arctic for turbine-based power generation","year":2025,"lang":"en","type":"article","venue":"Journal of Water and Climate Change","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":"National Research Council Canada; McGill University","funders":"National Research Council Canada; Trottier Institute for Sustainability in Engineering and Design","keywords":"Arctic; Resource (disambiguation); Turbine; The arctic; Power (physics); Environmental science; Oceanography; Environmental resource management; Marine engineering; Computer science; Engineering; Geology; Aerospace engineering","score_opus":0.025917925438512773,"score_gpt":0.2500371122308797,"score_spread":0.22411918679236695,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408368355","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.910852,0.0013039267,0.009589667,0.07249683,0.0021326502,0.0015297488,0.00037415262,0.000012473009,0.001708556],"genre_scores_gemma":[0.9959264,0.000087546854,0.0008331848,0.0027615377,0.00023665406,0.000005521961,0.00008008924,0.0000027546616,0.00006631481],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993871,0.000021599933,0.00018393772,0.00007796341,0.000091700414,0.00023769449],"domain_scores_gemma":[0.9995664,0.00013195163,0.00006198411,0.00006374736,0.00009865854,0.00007728183],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005104181,0.00007651985,0.00011361627,0.000083200895,0.0003872979,0.000085132924,0.000092727714,0.00003944051,0.000089180896],"category_scores_gemma":[0.000016104781,0.000039111925,0.00006649028,0.00003713712,0.000037365684,0.00008174929,0.00000430619,0.00008229701,8.1071823e-7],"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":[0.0012411269,0.00014780452,0.82807446,0.0012114984,0.00054695515,0.000051855604,0.007991175,0.0082164,0.00079297775,0.0039656158,0.008553517,0.13920659],"study_design_scores_gemma":[0.00335946,0.0015550501,0.41746274,0.00026078738,0.00057011994,0.000081032034,0.0015302596,0.3999396,0.00035474543,0.002592819,0.17188898,0.00040440605],"about_ca_topic_score_codex":0.004383933,"about_ca_topic_score_gemma":0.054690544,"teacher_disagreement_score":0.41061175,"about_ca_system_score_codex":0.000021936356,"about_ca_system_score_gemma":0.000066376764,"threshold_uncertainty_score":0.96255887},"labels":[],"label_agreement":null},{"id":"W4411801833","doi":"10.2166/wcc.2025.733","title":"Evaluation of water resources carrying capacity in the Yellow River Basin: a Hu Huanyong Line perspective","year":2025,"lang":"en","type":"article","venue":"Journal of Water and Climate Change","topic":"Water Resources and Sustainability","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Science Foundation of Hubei Province; National Natural Science Foundation of China","keywords":"Carrying capacity; Drainage basin; Perspective (graphical); Water resource management; Water resources; Line (geometry); Hydrology (agriculture); Environmental science; Geography; Geology; Mathematics; Computer science; Geotechnical engineering; Ecology; Biology; Cartography; Artificial intelligence","score_opus":0.059101640991450856,"score_gpt":0.282536040875175,"score_spread":0.22343439988372413,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411801833","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9949634,0.00014242122,0.0000064472165,0.0028440657,0.000059744878,0.00023903923,0.000004228837,0.0000022832332,0.001738347],"genre_scores_gemma":[0.99964184,0.00006113237,0.000023325985,0.00017535532,0.000058909816,0.000008574231,9.867916e-7,0.000004412431,0.00002547849],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.9984478,0.00035671282,0.00030898405,0.00014330914,0.0004907399,0.00025249177],"domain_scores_gemma":[0.9996352,0.000027839405,0.000079247904,0.00012898757,0.0000942923,0.000034414803],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0036592146,0.00010470359,0.0002042991,0.00008504407,0.00011314822,0.000037101607,0.00016886942,0.000051093783,0.00016295713],"category_scores_gemma":[0.000030459716,0.00004841967,0.0000817192,0.00009256106,0.00020787938,0.00022412249,0.00014051514,0.00017029833,0.0000025336512],"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":[0.00029158004,0.00028747972,0.38572967,0.00018265382,0.000065255124,0.00003446905,0.60128134,0.0005339836,0.008081212,0.000049644397,0.00008835904,0.0033743533],"study_design_scores_gemma":[0.0033675402,0.00064424716,0.81920624,0.00034204824,0.0005560281,0.00007893481,0.11207444,0.0034259716,0.033400983,0.021323267,0.0051917047,0.00038860564],"about_ca_topic_score_codex":0.001161834,"about_ca_topic_score_gemma":0.0003372874,"teacher_disagreement_score":0.48920688,"about_ca_system_score_codex":0.0003060359,"about_ca_system_score_gemma":0.0000036646181,"threshold_uncertainty_score":0.19744968},"labels":[],"label_agreement":null}]}