{"meta":{"query_hash":"de801275a25f","filters":{"venue":"Agricultural Water Management"},"cohort_total":110,"direct_labels_cover":0,"predictions_cover":110,"exported":110,"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/de801275a25f","api":"https://metacan.xera.ac/api/v1/cohort?venue=Agricultural+Water+Management"},"results":[{"id":"W1586097440","doi":"10.1016/j.agwat.2004.05.006","title":"Assessing microbial pollution of rural surface waters","year":2004,"lang":"en","type":"article","venue":"Agricultural Water Management","topic":"Fecal contamination and water quality","field":"Environmental Science","cited_by":265,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Nova Scotia Department of Agriculture; University of Guelph","funders":"","keywords":"Environmental science; Watershed; STREAMS; Water quality; Pollution; Hydrology (agriculture); Microorganism; Sediment; Erosion; Sediment transport; Surface water; Environmental engineering; Ecology; Geology","score_opus":0.010811211492364371,"score_gpt":0.22166236564661262,"score_spread":0.21085115415424827,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1586097440","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98766226,0.0000022682145,0.00032498775,0.001910872,0.00014805362,0.00021182712,0.0000018131343,0.000041150714,0.009696777],"genre_scores_gemma":[0.9968915,0.0000025250636,0.00089211797,0.0001845026,0.000015619691,0.0000033504148,0.000049532384,0.00000442268,0.0019564515],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99906576,0.00004572311,0.00023050782,0.00015737732,0.00024114929,0.00025951283],"domain_scores_gemma":[0.9997756,0.0000022598997,0.000048180515,0.0001142755,0.000009356128,0.00005033244],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017524003,0.00012679608,0.00011183438,0.000014981269,0.00009846594,0.000064727996,0.00016089235,0.000034380817,0.00023287711],"category_scores_gemma":[9.506599e-7,0.0000666111,0.000066866254,0.00010049222,0.00007588638,0.0004949743,0.00022022656,0.000050917522,0.00044135834],"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":[0.000019068255,0.00019006334,0.0019630129,0.00005737753,0.000051758685,0.000010291316,0.0025474164,0.01585733,0.9733029,0.001301074,0.0011603715,0.003539315],"study_design_scores_gemma":[0.00086977455,0.00004525682,0.4958471,0.000033755994,0.000034225995,0.000005468828,0.0017985066,0.0000075845046,0.49830484,0.00075009937,0.0020403939,0.00026297724],"about_ca_topic_score_codex":0.00037090137,"about_ca_topic_score_gemma":0.00001949931,"teacher_disagreement_score":0.4938841,"about_ca_system_score_codex":0.00022410287,"about_ca_system_score_gemma":7.64002e-7,"threshold_uncertainty_score":0.56729156},"labels":[],"label_agreement":null},{"id":"W1964775858","doi":"10.1016/j.agwat.2010.01.009","title":"Assessment of groundwater quality and its variations in the capture zone of a pumping well in an agricultural area","year":2010,"lang":"en","type":"article","venue":"Agricultural Water Management","topic":"Groundwater and Isotope Geochemistry","field":"Earth and Planetary Sciences","cited_by":37,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Chicoutimi; Université Laval","funders":"","keywords":"Piezometer; Groundwater; Environmental science; Contamination; Aquifer; Nitrate; Hydrology (agriculture); Water quality; Pollution; Fecal coliform; Groundwater pollution; Leaching (pedology); Agriculture; Environmental engineering; Environmental chemistry; Soil water; Soil science; Ecology; Geology; Chemistry","score_opus":0.01654902086174741,"score_gpt":0.23720864000034766,"score_spread":0.22065961913860024,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1964775858","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9906371,0.000018770083,0.000012260203,0.00059485843,0.00009202899,0.00035109607,0.000013173204,0.00000757992,0.008273086],"genre_scores_gemma":[0.99904007,0.000009312249,0.0002164979,0.000060501556,0.000028571576,0.000009460993,0.00035475413,0.0000012360983,0.0002796021],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99878466,0.00010387493,0.00037177285,0.0002372421,0.00025065202,0.0002517826],"domain_scores_gemma":[0.9996561,0.000027478804,0.000075705626,0.00015327596,0.00004606861,0.00004140793],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00048215498,0.00014642847,0.00019399782,0.000049244485,0.000058021214,0.00006929099,0.00026653238,0.000061385086,0.00026711018],"category_scores_gemma":[0.0000023193481,0.000059980473,0.00003985443,0.00016568445,0.00003450231,0.00034682924,0.000042644086,0.00019669624,0.0000052755927],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000036530248,0.00048594223,0.8454734,0.0005255431,0.00009004589,0.00003193635,0.00967517,0.0011273279,0.1390425,0.0019111484,0.00009043077,0.0015100114],"study_design_scores_gemma":[0.00030393893,0.000042561056,0.99222696,0.000018631046,0.000017521323,0.000008567722,0.0030395638,0.00024503775,0.003707879,0.00016711342,0.0000923254,0.00012991589],"about_ca_topic_score_codex":0.00208633,"about_ca_topic_score_gemma":0.009279963,"teacher_disagreement_score":0.14675353,"about_ca_system_score_codex":0.0000056864665,"about_ca_system_score_gemma":0.000002970916,"threshold_uncertainty_score":0.5178437},"labels":[],"label_agreement":null},{"id":"W1972077101","doi":"10.1016/j.agwat.2015.02.008","title":"Effects of row-spacing and stubble height on soil water content and water use by canola and wheat in the dry prairie region of Canada","year":2015,"lang":"en","type":"article","venue":"Agricultural Water Management","topic":"Irrigation Practices and Water Management","field":"Agricultural and Biological Sciences","cited_by":14,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Agriculture and Agri-Food Canada; University of Saskatchewan","funders":"Ministry of Agriculture of the People's Republic of China","keywords":"Canola; Environmental science; Water-use efficiency; Soil water; Agronomy; Water content; Yield (engineering); Randomized block design; Water use; Crop yield; Hydrology (agriculture); Mathematics; Soil science; Irrigation; Geology; Biology","score_opus":0.02069467303565054,"score_gpt":0.17759903941044924,"score_spread":0.1569043663747987,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1972077101","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98614204,0.00009209237,0.0000010698957,0.012728967,0.00006085026,0.00057218707,0.000003617571,0.0000075753355,0.00039161328],"genre_scores_gemma":[0.9965674,0.00004979156,0.000008173988,0.0005183865,0.000020134625,0.000033975462,0.000049150385,0.0000012374998,0.00275173],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99876505,0.0001369403,0.00022853019,0.0002722423,0.0002919617,0.00030526525],"domain_scores_gemma":[0.9997021,0.0000563702,0.000055725435,0.00005875263,0.000052366395,0.000074673895],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028109705,0.00017772047,0.00019650249,0.000016071612,0.00010749982,0.0001028979,0.00011623378,0.00003786889,0.00000336684],"category_scores_gemma":[0.000003535902,0.000039758128,0.000021467833,0.00005219489,0.000049731436,0.00030220646,0.00021269573,0.000073111536,9.333621e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010991591,0.0010680824,0.029845232,0.0016749405,0.00085122674,0.0005679214,0.02906692,0.00026922094,0.80339557,0.0032139863,0.101802826,0.027144931],"study_design_scores_gemma":[0.0025232052,0.0014246942,0.3114468,0.000250997,0.0002400202,0.00002632369,0.01601776,0.00006024568,0.60685056,0.00057655596,0.059843812,0.00073904486],"about_ca_topic_score_codex":0.059936363,"about_ca_topic_score_gemma":0.05611079,"teacher_disagreement_score":0.28160155,"about_ca_system_score_codex":0.00003694406,"about_ca_system_score_gemma":0.0000013112789,"threshold_uncertainty_score":0.96111274},"labels":[],"label_agreement":null},{"id":"W1973298546","doi":"10.1016/j.agwat.2015.03.019","title":"Evaluating the performance of DRAINMOD using soil hydraulic parameters derived by various methods","year":2015,"lang":"en","type":"article","venue":"Agricultural Water Management","topic":"Soil and Unsaturated Flow","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Natural Resources Conservation Service","keywords":"Pedotransfer function; Drainage; Loam; Soil texture; Environmental science; Permanent wilting point; Tile drainage; Soil science; Hydrology (agriculture); Soil water; Soil survey; Bulk density; Soil gradation; Soil series; Hydraulic conductivity; Soil classification; Field capacity; Geology; Geotechnical engineering; Ecology","score_opus":0.043629506112156415,"score_gpt":0.28551819164439196,"score_spread":0.24188868553223555,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1973298546","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9955133,0.00020121374,0.0012755207,0.00014017311,0.0003719394,0.00026696193,0.000001326339,0.00012019946,0.00210936],"genre_scores_gemma":[0.9867102,0.00001770541,0.0127196135,0.000060990416,0.00003491626,0.00003228471,0.00002683686,0.000015822452,0.00038161088],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988962,0.00009826974,0.00025875805,0.00016828538,0.0002519693,0.00032652367],"domain_scores_gemma":[0.9996177,0.00002462059,0.000039072147,0.00019746293,0.00005886001,0.00006226076],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044262205,0.00019556208,0.00017541733,0.000032978354,0.0000846915,0.000054279135,0.00023662577,0.00004989883,0.000005786769],"category_scores_gemma":[0.0000055694677,0.00008924992,0.000061347986,0.00017480885,0.000033210283,0.00016615799,0.00009959762,0.00012710165,0.000015356882],"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":[0.000011821831,0.000020431786,0.00004238063,0.00010302452,0.00029864983,0.0000022246645,0.0020862925,0.78167886,0.18477084,0.000011541423,0.0016325657,0.029341374],"study_design_scores_gemma":[0.00060681364,0.00013765297,0.0012951419,0.000048966238,0.00019729356,0.000013115189,0.0011308528,0.5697726,0.42539877,0.000099818484,0.000949643,0.0003493505],"about_ca_topic_score_codex":0.000049609305,"about_ca_topic_score_gemma":0.0000020988484,"teacher_disagreement_score":0.24062793,"about_ca_system_score_codex":0.00009106471,"about_ca_system_score_gemma":0.0000026462174,"threshold_uncertainty_score":0.36395064},"labels":[],"label_agreement":null},{"id":"W1975377626","doi":"10.1016/j.agwat.2013.08.007","title":"Global, regional, and country level need for data on wastewater generation, treatment, and use","year":2013,"lang":"en","type":"article","venue":"Agricultural Water Management","topic":"Wastewater Treatment and Reuse","field":"Environmental Science","cited_by":643,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"United Nations University Institute for Water, Environment, and Health","funders":"U.S. Environmental Protection Agency","keywords":"Livelihood; Wastewater; Business; Agriculture; Developing country; Sewage treatment; Natural resource economics; Agricultural economics; Environmental planning; Environmental science; Economic growth; Economics; Geography; Environmental engineering","score_opus":0.06099718662930312,"score_gpt":0.23437116280730644,"score_spread":0.17337397617800332,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1975377626","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.994849,0.000025551639,0.000011548992,0.003296903,0.000078036974,0.001048702,0.00006628639,0.000031275158,0.0005926569],"genre_scores_gemma":[0.96607417,0.00019732206,0.002662033,0.00048722405,0.00010061763,0.0002232547,0.0017591132,0.00001158436,0.028484652],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.99891084,0.00002073107,0.00014935536,0.0005007561,0.00013171292,0.00028659543],"domain_scores_gemma":[0.99952,0.000010183649,0.000029026896,0.00033923416,0.000008063608,0.000093469156],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000041904525,0.00022690314,0.00012665884,0.000014999501,0.00020799901,0.00028496038,0.00016720967,0.000041609957,0.00010811813],"category_scores_gemma":[0.0000010667225,0.0000978121,0.000022023809,0.00004819263,0.00006979755,0.0007326717,0.00037620272,0.000016808724,0.00017557107],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010428436,0.0007607602,0.052230768,0.00007503352,0.0008500934,0.000026253338,0.0011604913,0.00046506975,0.058445644,0.0011708266,0.8736097,0.011101056],"study_design_scores_gemma":[0.006470544,0.0011225699,0.6062791,0.0000541191,0.00061467825,0.00006698413,0.0010381311,0.0014652737,0.018253444,0.0010572964,0.36219487,0.0013830084],"about_ca_topic_score_codex":0.00078422844,"about_ca_topic_score_gemma":0.00027564468,"teacher_disagreement_score":0.5540483,"about_ca_system_score_codex":0.00011112055,"about_ca_system_score_gemma":5.9791813e-7,"threshold_uncertainty_score":0.39886618},"labels":[],"label_agreement":null},{"id":"W1976188777","doi":"10.1016/j.agwat.2011.05.006","title":"Environmental quality of Lower Little Bow River and riparian zone along an unfenced reach with off-stream watering","year":2011,"lang":"en","type":"article","venue":"Agricultural Water Management","topic":"Soil and Water Nutrient Dynamics","field":"Environmental Science","cited_by":19,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta; Agriculture and Agri-Food Canada","funders":"Agriculture and Agri-Food Canada","keywords":"Riparian zone; Environmental science; Hydrology (agriculture); Bank; Water quality; Surface runoff; Fencing; Pollution; Drainage basin; Geography; Ecology; Geology; Habitat; Biology","score_opus":0.011138645824448866,"score_gpt":0.18187783332299984,"score_spread":0.17073918749855096,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1976188777","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9954242,0.000008251839,0.000047312704,0.000041441046,0.00006792731,0.00029460897,0.000009305063,0.000039215913,0.0040677106],"genre_scores_gemma":[0.9969184,0.00003357194,0.0017869922,0.000034932647,0.000016159436,0.000023165347,0.000086527616,0.000011382187,0.001088876],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985276,0.000056045774,0.00028571486,0.0004498448,0.00031582752,0.00036496096],"domain_scores_gemma":[0.9995103,0.000004140586,0.00007645361,0.0002783241,0.0000042232045,0.00012654734],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016323244,0.00023161176,0.00019712892,0.000024365849,0.00010869647,0.000028764869,0.00022628339,0.000049352766,0.0001740607],"category_scores_gemma":[4.3354163e-7,0.000116753115,0.00004262687,0.00006415876,0.000266212,0.00048317862,0.00042380832,0.00006974013,0.00008315553],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004202545,0.0011887772,0.9440609,0.00008713683,0.00021710884,0.00011801373,0.013112466,0.0001878577,0.022804374,0.0003303246,0.00010063293,0.01737211],"study_design_scores_gemma":[0.0006719394,0.00031378827,0.98528874,0.000017828243,0.000055089746,0.000012768471,0.0010293301,0.00003936141,0.011269886,0.0005539402,0.00043269925,0.0003146369],"about_ca_topic_score_codex":0.0012643939,"about_ca_topic_score_gemma":0.000089906374,"teacher_disagreement_score":0.041227788,"about_ca_system_score_codex":0.000080766964,"about_ca_system_score_gemma":4.4662923e-7,"threshold_uncertainty_score":0.4761054},"labels":[],"label_agreement":null},{"id":"W1977214329","doi":"10.1016/j.agwat.2007.04.012","title":"Development of a simplified continuous simulation model for investigating long-term soil moisture fluctuations","year":2007,"lang":"en","type":"article","venue":"Agricultural Water Management","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":29,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Evapotranspiration; Environmental science; Water content; Soil water; Water balance; DNS root zone; Moisture; Soil science; Hydrology (agriculture); Infiltration (HVAC); Vegetation (pathology); Simulation modeling; Meteorology; Mathematics; Geology; Geography; Geotechnical engineering; Ecology","score_opus":0.015239568664879669,"score_gpt":0.22839780665962467,"score_spread":0.213158237994745,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1977214329","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8540254,0.0000023897749,0.14313193,0.000052347244,0.000039005114,0.00052309956,0.0000061255237,0.00003382292,0.0021858262],"genre_scores_gemma":[0.9725259,8.353326e-7,0.024743285,0.000051937623,0.000014991762,0.000040293056,0.0003568773,0.000007460734,0.0022583976],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988817,0.0000076210135,0.00037727263,0.00022430357,0.00023257392,0.00027651121],"domain_scores_gemma":[0.9996927,0.000018815736,0.0000932823,0.00011224994,0.000021625592,0.0000613328],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023103855,0.00014210067,0.00012132414,0.00003463075,0.00017834763,0.000028647852,0.00014010053,0.000052815423,0.000019711135],"category_scores_gemma":[0.0000035887788,0.00008557139,0.000052901632,0.00009956385,0.00003500377,0.00015180961,0.00014886478,0.000049445687,0.000023930785],"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":[0.000010620362,0.000058300124,0.004330414,0.000043988726,0.000054561646,0.0000016899354,0.0030073668,0.9381883,0.04654246,0.00044870915,0.000052017607,0.007261547],"study_design_scores_gemma":[0.00074054225,0.000025830806,0.480774,0.00004427394,0.00010444015,0.0000027298322,0.00026350215,0.49981412,0.015989615,0.0014865702,0.0003255207,0.00042888537],"about_ca_topic_score_codex":0.000008932822,"about_ca_topic_score_gemma":0.0003176721,"teacher_disagreement_score":0.47644356,"about_ca_system_score_codex":0.00012768777,"about_ca_system_score_gemma":0.0000021259227,"threshold_uncertainty_score":0.34894997},"labels":[],"label_agreement":null},{"id":"W1980116544","doi":"10.1016/j.agwat.2010.06.023","title":"Effects of changes in N-fertilizer management on water quality trends at the watershed scale","year":2010,"lang":"en","type":"article","venue":"Agricultural Water Management","topic":"Soil and Water Nutrient Dynamics","field":"Environmental Science","cited_by":30,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"","keywords":"Environmental science; Fertilizer; Watershed; Water quality; Scale (ratio); Hydrology (agriculture); Water resource management; Geography; Agronomy; Geology; Computer science; Cartography; Geotechnical engineering; Ecology","score_opus":0.004777212246828407,"score_gpt":0.19970936051911345,"score_spread":0.19493214827228506,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1980116544","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9751504,0.0000029193782,0.0000016399069,0.0031441895,0.00035248479,0.00053246843,0.0000025417385,0.000039772513,0.02077357],"genre_scores_gemma":[0.9743007,0.000017687404,0.000057181,0.0003276981,0.000030269577,0.00017701868,0.00007823147,0.000012209605,0.02499905],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9980581,0.00008152517,0.00030545812,0.0004812978,0.00048928766,0.00058434735],"domain_scores_gemma":[0.9994519,0.000019141484,0.000046208654,0.00040608193,0.000006290215,0.00007040999],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033818625,0.00027653505,0.00021965326,0.00007393708,0.0001390443,0.000037520367,0.0004614545,0.000068592824,0.00044888316],"category_scores_gemma":[8.450083e-7,0.00010051722,0.00010252632,0.00017251751,0.00015011373,0.00010994929,0.0009877024,0.00015501928,0.00070377183],"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":[0.0011193478,0.0028112514,0.2886948,0.0012330842,0.00056292297,0.00028687192,0.01738996,0.0020753217,0.58588886,0.0011905058,0.01603999,0.08270708],"study_design_scores_gemma":[0.00086001755,0.00006909757,0.6623866,0.000017971819,0.00004774376,0.0000016824913,0.00017504524,0.000015953547,0.3267175,0.00064698514,0.0088201165,0.0002413308],"about_ca_topic_score_codex":0.00020497375,"about_ca_topic_score_gemma":0.00077723875,"teacher_disagreement_score":0.37369177,"about_ca_system_score_codex":0.00013720864,"about_ca_system_score_gemma":1.3708122e-7,"threshold_uncertainty_score":0.90457976},"labels":[],"label_agreement":null},{"id":"W1993119136","doi":"10.1016/j.agwat.2013.10.009","title":"Simulating soil water regime in lowland paddy fields under different water managements using HYDRUS-1D","year":2013,"lang":"en","type":"article","venue":"Agricultural Water Management","topic":"Rice Cultivation and Yield Improvement","field":"Agricultural and Biological Sciences","cited_by":78,"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":"National Key Research and Development Program of China; Key Technologies Research and Development Program","keywords":"Environmental science; Irrigation; Hydrology (agriculture); Pressure head; Soil science; Paddy field; Groundwater; Tillage; Hydraulic head; Water table; Geotechnical engineering; Agronomy; Geology; Engineering","score_opus":0.021825040556389428,"score_gpt":0.20732269715112442,"score_spread":0.185497656594735,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1993119136","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9888057,0.000009131775,0.000027649246,0.0055472534,0.00026037358,0.0010384751,0.0000018605433,0.00008571454,0.004223848],"genre_scores_gemma":[0.98674905,0.000013097781,0.00005212889,0.0012319265,0.0001711085,0.000113235896,0.00029260566,0.0000033986355,0.01137346],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99753636,0.00008431042,0.00052217836,0.0005681189,0.00038498495,0.0009040577],"domain_scores_gemma":[0.999613,0.00002135872,0.00005370787,0.00013191736,0.00006257321,0.000117453535],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00015816287,0.00037880524,0.0002826455,0.00004346449,0.00028043208,0.00033476562,0.00034845932,0.00011387078,0.002368705],"category_scores_gemma":[0.0000017418669,0.00009083326,0.00013332171,0.00012261643,0.000028656663,0.00045784423,0.0005533072,0.00016699794,0.00052551564],"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":[0.000025672105,0.00042635368,0.0037481135,0.00009798064,0.00019469441,0.000028130702,0.0012075839,0.004163232,0.97092515,0.0001814922,0.0019195331,0.017082088],"study_design_scores_gemma":[0.0025199552,0.0003805094,0.5696742,0.00022543606,0.00014620267,0.000007960795,0.007736178,0.0045874016,0.3976033,0.0042344052,0.010912124,0.001972355],"about_ca_topic_score_codex":0.00082291063,"about_ca_topic_score_gemma":0.00029084293,"teacher_disagreement_score":0.5733218,"about_ca_system_score_codex":0.00011554729,"about_ca_system_score_gemma":4.2709004e-7,"threshold_uncertainty_score":0.99854326},"labels":[],"label_agreement":null},{"id":"W1997679583","doi":"10.1016/j.agwat.2014.03.002","title":"Effects of permanent ground cover on soil moisture in jujube orchards under sloping ground: A simulation study","year":2014,"lang":"en","type":"article","venue":"Agricultural Water Management","topic":"Soil erosion and sediment transport","field":"Agricultural and Biological Sciences","cited_by":45,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"National Science Foundation","keywords":"Lotus corniculatus; Cover crop; Trifolium repens; Dactylis glomerata; Orchard; Agronomy; Water content; PEAR; Environmental science; Surface runoff; Horticulture; Biology; Poaceae; Geology; Ecology","score_opus":0.011628486891856391,"score_gpt":0.21388892032292608,"score_spread":0.2022604334310697,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1997679583","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9964164,0.000011784101,0.000011561674,0.00094655517,0.00018082534,0.00087678054,0.0000015798711,0.000053458756,0.0015010423],"genre_scores_gemma":[0.9976589,0.000009038245,0.000004822101,0.00048669826,0.00011157255,0.000060581795,0.000106152875,0.000001683475,0.0015605179],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9984077,0.00012678909,0.00029113685,0.0003884696,0.00047270514,0.00031316528],"domain_scores_gemma":[0.9996683,0.00009684479,0.00006305755,0.00007065453,0.000039332415,0.000061820414],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022507206,0.00023381396,0.0002529617,0.00002961062,0.00011430992,0.000055390286,0.00020786028,0.00006856067,0.00006578333],"category_scores_gemma":[0.0000026086548,0.00007033418,0.00010281889,0.00020493881,0.000018388399,0.00013990095,0.000079768935,0.000112758884,0.00006780291],"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":[0.0013274924,0.01563377,0.055639766,0.0014217943,0.0010112412,0.00023646274,0.015547188,0.15640719,0.67395544,0.008752007,0.004019956,0.06604771],"study_design_scores_gemma":[0.0008809192,0.0005660696,0.9926436,0.00006429507,0.000049515125,3.9506705e-7,0.0010819153,0.00014766575,0.0024626039,0.00014068297,0.0017254709,0.00023685966],"about_ca_topic_score_codex":0.00041122985,"about_ca_topic_score_gemma":0.0005241371,"teacher_disagreement_score":0.93700385,"about_ca_system_score_codex":0.00009011677,"about_ca_system_score_gemma":6.2258766e-7,"threshold_uncertainty_score":0.28681445},"labels":[],"label_agreement":null},{"id":"W2004886015","doi":"10.1016/s0378-3774(02)00005-7","title":"Modelling nitrate losses in drainage water using DRAINMOD 5.0","year":2002,"lang":"en","type":"article","venue":"Agricultural Water Management","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":37,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"McGill University","keywords":"Drainage; Hydrology (agriculture); Water table; Environmental science; Statistics; Table (database); Mathematics; Standard deviation; Fertilizer; Chemistry; Database; Groundwater; Geology","score_opus":0.02086963175645375,"score_gpt":0.19438047832638827,"score_spread":0.1735108465699345,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2004886015","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8902097,0.00002468795,0.00060432835,0.0015946215,0.00012937884,0.0004498175,7.94034e-7,0.00007727869,0.106909394],"genre_scores_gemma":[0.987142,0.000041603584,0.0007860594,0.0003456689,0.00003748442,0.000047780308,0.000017118931,0.000013251894,0.011568984],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99803025,0.0000692491,0.00030714512,0.00051819265,0.00025753654,0.0008176128],"domain_scores_gemma":[0.999682,0.0000066565735,0.00002930336,0.00021578299,0.000005443983,0.000060812403],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00022362969,0.00028943128,0.00021614147,0.000080429316,0.0003053575,0.00006970191,0.00029915402,0.00006240318,0.0016848315],"category_scores_gemma":[7.1965087e-7,0.00014359789,0.000076360055,0.00015652705,0.00012575668,0.00048926,0.0007491224,0.00013487083,0.0024651045],"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":[0.000021105267,0.00029286087,0.003474973,0.00008024571,0.00017739773,0.00041938017,0.006824337,0.97565573,0.009221758,0.0005852053,0.0025192916,0.0007276944],"study_design_scores_gemma":[0.009225413,0.00058165943,0.03435046,0.00034043076,0.0010617119,0.00011669525,0.010206184,0.6668183,0.104294635,0.060850687,0.10496787,0.0071859304],"about_ca_topic_score_codex":0.00020324331,"about_ca_topic_score_gemma":0.00004774331,"teacher_disagreement_score":0.3088374,"about_ca_system_score_codex":0.00015669125,"about_ca_system_score_gemma":1.1681722e-7,"threshold_uncertainty_score":0.99922776},"labels":[],"label_agreement":null},{"id":"W2005942411","doi":"10.1016/j.agwat.2003.07.008","title":"Validation of an agricultural non-point source model in a watershed in southern Ontario","year":2003,"lang":"en","type":"article","venue":"Agricultural Water Management","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":37,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Toronto and Region Conservation Authority; University of Waterloo","funders":"","keywords":"Watershed; Environmental science; Hydrology (agriculture); Nonpoint source pollution; Storm; Watershed management; Range (aeronautics); Grid; Agriculture; Computer science; Meteorology; Geography; Engineering","score_opus":0.007188207441758159,"score_gpt":0.18029770263607514,"score_spread":0.17310949519431698,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2005942411","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9759521,0.000002042677,0.000102013684,0.00036411273,0.00004942194,0.00060387095,9.525016e-7,0.000024731047,0.022900756],"genre_scores_gemma":[0.9864225,0.000002954027,0.00065115484,0.00011075151,0.00000631916,0.00009007989,0.00006178897,0.000007780112,0.012646703],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99828076,0.00009886567,0.0004057311,0.0004599199,0.00025785682,0.000496869],"domain_scores_gemma":[0.99966675,0.0000049062896,0.00006676026,0.00019999288,0.0000076057795,0.000053994518],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039238704,0.00025230658,0.00025411815,0.00008186126,0.00008225771,0.000025485244,0.00024881124,0.0000740016,0.0003264579],"category_scores_gemma":[0.0000018450127,0.00013359581,0.000065467844,0.00018884668,0.00007170606,0.0004339732,0.0002810166,0.00014541279,0.00025364966],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010950149,0.0008308474,0.10331726,0.0000785747,0.00013034117,0.000056723125,0.088090524,0.78363585,0.022069566,0.00029962172,0.00086265267,0.00051850925],"study_design_scores_gemma":[0.00442076,0.00033876256,0.88992476,0.000083353494,0.0001415036,0.000011288831,0.023490936,0.0030582356,0.07093468,0.004982372,0.0012588117,0.0013545308],"about_ca_topic_score_codex":0.009655259,"about_ca_topic_score_gemma":0.030784197,"teacher_disagreement_score":0.7866075,"about_ca_system_score_codex":0.00025792018,"about_ca_system_score_gemma":0.0000012750652,"threshold_uncertainty_score":0.99693954},"labels":[],"label_agreement":null},{"id":"W2007377889","doi":"10.1016/j.agwat.2010.04.007","title":"Water savings in irrigated potato production by varying hill–furrow or bed–furrow configuration","year":2010,"lang":"en","type":"article","venue":"Agricultural Water Management","topic":"Irrigation Practices and Water Management","field":"Agricultural and Biological Sciences","cited_by":18,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Agriculture Food and Rural Development","funders":"","keywords":"Irrigation; Surface irrigation; Environmental science; Hydrology (agriculture); Agronomy; Mathematics; Geology; Biology; Geotechnical engineering","score_opus":0.011260624415827218,"score_gpt":0.20745265992273618,"score_spread":0.19619203550690895,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2007377889","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9713966,0.000010765922,0.0000028486525,0.021503538,0.00075014355,0.0010928704,0.000008618424,0.00017459139,0.005060024],"genre_scores_gemma":[0.979077,0.000024238727,0.0000801219,0.000610912,0.00024919363,0.00018185982,0.001306302,0.000003791882,0.018466607],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9975276,0.00013366232,0.0005656247,0.00063950283,0.00043953373,0.0006940703],"domain_scores_gemma":[0.9994714,0.000027194457,0.0001269681,0.00013799027,0.00011284789,0.0001235965],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006525509,0.00035271797,0.00024335756,0.00004739244,0.0003738712,0.000399043,0.00037554686,0.00013018136,0.0022696478],"category_scores_gemma":[0.000014938344,0.00009575171,0.00009115153,0.00031577327,0.000050507704,0.0010088185,0.00023537554,0.00032370098,0.00061857566],"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":[0.00007507651,0.00018886385,0.00058191456,0.000040669842,0.000057385394,0.0000224347,0.00068777375,0.000030649513,0.9762171,0.00024372117,0.008117485,0.013736938],"study_design_scores_gemma":[0.0007488064,0.00023508091,0.04297701,0.000063174804,0.00011670159,0.00003099386,0.0020927864,0.000062783736,0.77953327,0.00086433796,0.17234343,0.00093160546],"about_ca_topic_score_codex":0.0004955879,"about_ca_topic_score_gemma":0.0008397833,"teacher_disagreement_score":0.19668381,"about_ca_system_score_codex":0.000070462826,"about_ca_system_score_gemma":0.0000014342872,"threshold_uncertainty_score":0.9986424},"labels":[],"label_agreement":null},{"id":"W2011182530","doi":"10.1016/j.agwat.2013.03.001","title":"Modelling crop yield, soil water content and soil temperature for a soybean–maize rotation under conventional and conservation tillage systems in Northeast China","year":2013,"lang":"en","type":"article","venue":"Agricultural Water Management","topic":"Soil Carbon and Nitrogen Dynamics","field":"Agricultural and Biological Sciences","cited_by":173,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"Ministry of Education, India; National Key Research and Development Program of China; Ministry of Earth Sciences; National Natural Science Foundation of China","keywords":"DSSAT; Tillage; Environmental science; Conventional tillage; Agronomy; Water content; Crop yield; Crop rotation; Mollisol; Soil water; Cropping system; Cover crop; Soil science; Crop; Agroforestry; Engineering","score_opus":0.0217017611639534,"score_gpt":0.18489223792998563,"score_spread":0.16319047676603224,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2011182530","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99437267,0.00009919225,0.00002997242,0.004079569,0.00012767405,0.001099907,0.000015329477,0.00003789777,0.00013778196],"genre_scores_gemma":[0.9973508,0.00004395491,0.00004757681,0.0002605685,0.0000851786,0.00028013348,0.00048961595,0.0000020574093,0.0014401216],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.998855,0.00004250688,0.00028126308,0.00033304634,0.00017117063,0.00031699808],"domain_scores_gemma":[0.99970686,0.000028479795,0.00004688625,0.000038408616,0.00010646311,0.000072868155],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015873903,0.00019809973,0.00018418036,0.000021083866,0.00019192173,0.000283959,0.00007775615,0.00009322727,0.000029189145],"category_scores_gemma":[0.0000019352424,0.00006023938,0.000059172773,0.00006538404,0.000038317612,0.0002528176,0.00007712221,0.00007889975,0.000013076144],"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":[0.00023568758,0.0003311767,0.014826441,0.00055407535,0.00034694577,0.000015862452,0.0017564133,0.024262773,0.94470227,0.0085877245,0.0014557374,0.0029249075],"study_design_scores_gemma":[0.00253591,0.00032904095,0.76741,0.00027426935,0.0001430978,0.000055292214,0.009942661,0.20195551,0.011322912,0.0042302255,0.00063141563,0.0011696693],"about_ca_topic_score_codex":0.0023917626,"about_ca_topic_score_gemma":0.0010037504,"teacher_disagreement_score":0.93337935,"about_ca_system_score_codex":0.000036654077,"about_ca_system_score_gemma":9.934181e-7,"threshold_uncertainty_score":0.36156455},"labels":[],"label_agreement":null},{"id":"W2017635054","doi":"10.1016/j.agwat.2011.05.013","title":"Radial interval chance-constrained programming for agricultural non-point source water pollution control under uncertainty","year":2011,"lang":"en","type":"article","venue":"Agricultural Water Management","topic":"Water resources management and optimization","field":"Engineering","cited_by":103,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Environment and Climate Change Canada; University of Regina","funders":"Natural Sciences and Engineering Research Council of Canada; National Science Foundation","keywords":"Randomness; Profit (economics); Mathematical optimization; Interval (graph theory); Computer science; Nonpoint source pollution; Control (management); Point source pollution; Agriculture; Constraint (computer-aided design); Linear programming; Pollution; Robust optimization; Operations research; Mathematics; Statistics; Economics; Artificial intelligence","score_opus":0.00932507049761631,"score_gpt":0.17255963819774406,"score_spread":0.16323456770012776,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2017635054","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6846478,0.000054343276,0.29111704,0.0014431425,0.001811765,0.006174712,0.000024451021,0.0015793918,0.013147354],"genre_scores_gemma":[0.9929741,0.000009126026,0.0020954595,0.00014640664,0.00034410227,0.0005444936,0.00054633577,0.0000398883,0.00330009],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.997951,0.000033089837,0.00045788297,0.00042227283,0.00023093983,0.0009048454],"domain_scores_gemma":[0.9995495,0.0000059962017,0.0000499227,0.00019803073,0.00007593032,0.00012063494],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019602553,0.00045469412,0.00032252938,0.00012665137,0.00021454753,0.00019393685,0.00031918476,0.00010574557,0.000110302455],"category_scores_gemma":[0.000001293127,0.00022466498,0.00024163148,0.00012099223,0.000054131397,0.00045022953,0.00013062157,0.00012803629,0.00011693405],"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":[0.0004862516,0.0003791307,0.000090848516,0.0011938367,0.002907254,0.00003288182,0.020347903,0.8983765,0.032664508,0.0027649712,0.008129569,0.03262634],"study_design_scores_gemma":[0.044288475,0.003017831,0.05787648,0.0011163243,0.004982207,0.00013431102,0.043681536,0.28706548,0.34721646,0.004132053,0.1944951,0.011993758],"about_ca_topic_score_codex":0.000036564164,"about_ca_topic_score_gemma":0.000027948463,"teacher_disagreement_score":0.611311,"about_ca_system_score_codex":0.0001816577,"about_ca_system_score_gemma":9.2594945e-7,"threshold_uncertainty_score":0.9161572},"labels":[],"label_agreement":null},{"id":"W2018221207","doi":"10.1016/j.agwat.2014.09.025","title":"Critical irrigation threshold and cranberry yield components","year":2014,"lang":"en","type":"article","venue":"Agricultural Water Management","topic":"Berry genetics and cultivation research","field":"Agricultural and Biological Sciences","cited_by":17,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Irrigation; Yield (engineering); Quadrat; Mathematics; Environmental science; Agronomy; Crop yield; Biology; Botany; Shrub","score_opus":0.041226801926438406,"score_gpt":0.23650990449452425,"score_spread":0.19528310256808584,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2018221207","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9688901,0.000023508952,0.0000097239445,0.007984152,0.00008761739,0.00020244013,0.0000029816324,0.000044944514,0.022754561],"genre_scores_gemma":[0.99747586,0.000016131986,0.000090821515,0.00038993018,0.00013821483,0.000028722034,0.000093454255,6.858965e-7,0.0017661822],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9989948,0.000035047688,0.00015155297,0.00026965892,0.00026430318,0.00028459562],"domain_scores_gemma":[0.9997203,0.00005133569,0.000015783078,0.000044585708,0.00006516181,0.0001028491],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016165758,0.00011928653,0.00009782029,0.0000087169565,0.00024521732,0.00016804929,0.00014711612,0.000049892187,0.00033735522],"category_scores_gemma":[0.000008996529,0.00003301357,0.0000396816,0.000089782116,0.000050556242,0.000115139184,0.00017476267,0.00007721816,0.00011448404],"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":[0.000021831089,0.00015759787,0.0031719408,0.0000537958,0.000048358692,0.0000052654,0.00014742649,0.000016627817,0.8928974,0.038412917,0.0044417237,0.06062509],"study_design_scores_gemma":[0.0001425416,0.00012800658,0.95376974,0.000027303191,0.000017146553,0.000004390959,0.0002461144,0.00021162548,0.011395094,0.0060948865,0.027743937,0.00021920583],"about_ca_topic_score_codex":0.00003837206,"about_ca_topic_score_gemma":0.000039155777,"teacher_disagreement_score":0.9505978,"about_ca_system_score_codex":0.000010061614,"about_ca_system_score_gemma":1.9973655e-7,"threshold_uncertainty_score":0.3693803},"labels":[],"label_agreement":null},{"id":"W2023257189","doi":"10.1016/j.agwat.2007.05.015","title":"Intra-annual variability in the contribution of tile drains to basin discharge and phosphorus export in a first-order agricultural catchment","year":2007,"lang":"en","type":"article","venue":"Agricultural Water Management","topic":"Soil and Water Nutrient Dynamics","field":"Environmental Science","cited_by":170,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wilfrid Laurier University; University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; Wilfrid Laurier University","keywords":"Tile drainage; Structural basin; Hydrology (agriculture); Environmental science; Drainage basin; Effluent; Phosphorus; Drainage; Fertilizer; Tile; Manure; Nutrient; Environmental engineering; Geology; Ecology; Geography; Soil water; Soil science; Chemistry; Biology","score_opus":0.0035277556637204888,"score_gpt":0.19248065922568064,"score_spread":0.18895290356196015,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2023257189","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99369615,0.000007223466,0.0001688436,0.002676376,0.00010237608,0.0010747294,0.000012237365,0.00001473589,0.0022473445],"genre_scores_gemma":[0.99909127,0.000013609753,0.00021499749,0.00024286254,0.000020798736,0.000090172165,0.00009162211,0.0000038625326,0.00023078753],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9982385,0.00008559853,0.0004319618,0.00038525675,0.00036534612,0.0004933471],"domain_scores_gemma":[0.9996246,0.000041370145,0.00005404856,0.00018186863,0.00001992931,0.000078165715],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012974128,0.00020223073,0.00020299554,0.000040410112,0.00008325141,0.000032429034,0.0002559146,0.000055643224,0.00003130891],"category_scores_gemma":[0.000013429598,0.00008894865,0.000045400076,0.00043260102,0.00007128085,0.0002194394,0.00034504413,0.000114432485,0.000038235947],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011468886,0.0007920633,0.97143126,0.00003389832,0.00003415855,0.00004183584,0.01938847,0.0006363285,0.000948676,0.0014438875,0.0020032672,0.0031314816],"study_design_scores_gemma":[0.0005824637,0.000073146875,0.9894151,0.000019752177,0.000018486742,0.000005553564,0.0028494932,0.000035610643,0.0017501182,0.0006247177,0.004433559,0.00019197998],"about_ca_topic_score_codex":0.0010147952,"about_ca_topic_score_gemma":0.00086433673,"teacher_disagreement_score":0.017983874,"about_ca_system_score_codex":0.00029058693,"about_ca_system_score_gemma":9.988704e-7,"threshold_uncertainty_score":0.36272204},"labels":[],"label_agreement":null},{"id":"W2027694302","doi":"10.1016/j.agwat.2010.03.015","title":"The changing profile of water traders in the Goulburn-Murray Irrigation District, Australia","year":2010,"lang":"en","type":"article","venue":"Agricultural Water Management","topic":"Water resources management and optimization","field":"Engineering","cited_by":50,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Lethbridge","funders":"Australian Research Council; Commonwealth Scientific and Industrial Research Organisation; University of Lethbridge; U.S. Department of Energy","keywords":"Entitlement (fair division); Productivity; Water trading; Irrigation district; Water use; Business; Irrigation; Economics; Natural resource economics; Agricultural economics; Water conservation; Microeconomics; Economic growth; Ecology","score_opus":0.00800369081089255,"score_gpt":0.18425637539099585,"score_spread":0.1762526845801033,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2027694302","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9868609,0.000010395946,0.00027206115,0.0012178876,0.0004322772,0.000823177,0.0000019596114,0.000082735816,0.010298644],"genre_scores_gemma":[0.99660456,0.000010300157,0.0001133219,0.000018688032,0.00008222032,0.00011092483,0.0001567267,0.00000989104,0.0028933908],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9989747,0.000029335704,0.00024760384,0.00013517348,0.0002233779,0.0003898382],"domain_scores_gemma":[0.9997365,0.00000948485,0.000023382168,0.00019485776,0.000015621761,0.0000201656],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028504417,0.00015602175,0.00009211191,0.000080398735,0.00013948332,0.00013711778,0.00034895848,0.00003992201,0.000052135878],"category_scores_gemma":[9.728556e-7,0.000054404885,0.000056333392,0.00019858172,0.00003434282,0.00018084538,0.00006808298,0.00015702545,0.000058970436],"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":[0.00012591732,0.0005825213,0.0042060614,0.0027630732,0.0015879619,0.00013048906,0.1487628,0.46410188,0.2337033,0.03948508,0.05987644,0.044674475],"study_design_scores_gemma":[0.0030305688,0.00018102731,0.26274222,0.00018708767,0.0005043865,0.000019404442,0.028748648,0.036965635,0.43821287,0.0030707396,0.22432001,0.0020173856],"about_ca_topic_score_codex":0.000015307183,"about_ca_topic_score_gemma":0.000046785906,"teacher_disagreement_score":0.42713624,"about_ca_system_score_codex":0.00002329982,"about_ca_system_score_gemma":2.0832401e-7,"threshold_uncertainty_score":0.22185668},"labels":[],"label_agreement":null},{"id":"W2030808363","doi":"10.1016/j.agwat.2012.03.009","title":"Performance of the FAO AquaCrop model for wheat grain yield and soil moisture simulation in Western Canada","year":2012,"lang":"en","type":"article","venue":"Agricultural Water Management","topic":"Climate change impacts on agriculture","field":"Agricultural and Biological Sciences","cited_by":157,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Water content; Yield (engineering); Agronomy; Soil water; Environmental science; Grain yield; Crop; Crop yield; Limiting; Mathematics; Soil science; Geology; Biology","score_opus":0.030094874050923155,"score_gpt":0.2172073961695056,"score_spread":0.18711252211858245,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2030808363","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9965744,0.00007296906,0.0000014426122,0.0021634612,0.000132553,0.0006847842,0.00004591944,0.000014385011,0.0003100914],"genre_scores_gemma":[0.9967156,0.000032720687,0.000016206637,0.00030848035,0.00010707096,0.000048044654,0.00008421296,0.0000011995972,0.0026864333],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9989113,0.000022401804,0.00022599657,0.00018748961,0.00022468413,0.00042812785],"domain_scores_gemma":[0.99970025,0.00004519147,0.000071069575,0.00006083301,0.00004769089,0.0000749372],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001484195,0.00018221159,0.00016328362,0.000007730573,0.00013534728,0.00003445849,0.00020128979,0.000067758854,0.000015243473],"category_scores_gemma":[0.0000071944874,0.000043115168,0.000053244312,0.0001448891,0.000021987651,0.00023438773,0.00016695417,0.00008151836,0.0000013127702],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019888725,0.0004555892,0.43975842,0.00074717484,0.00014393876,0.0000027523429,0.0061459364,0.056691356,0.4610928,0.0001803636,0.016810773,0.017771987],"study_design_scores_gemma":[0.00020547803,0.000048553196,0.9845435,0.000074891344,0.000031565785,0.0000026604846,0.0009489069,0.0040764175,0.0077780397,0.000024001572,0.0020401264,0.00022584086],"about_ca_topic_score_codex":0.015896454,"about_ca_topic_score_gemma":0.35693234,"teacher_disagreement_score":0.5447851,"about_ca_system_score_codex":0.000090283036,"about_ca_system_score_gemma":0.0000019648633,"threshold_uncertainty_score":0.9906568},"labels":[],"label_agreement":null},{"id":"W2035612181","doi":"10.1016/j.agwat.2007.01.006","title":"Econometric analysis of the determinants of adoption of rainwater harvesting and supplementary irrigation technology (RHSIT) in the semiarid Loess Plateau of China","year":2007,"lang":"en","type":"article","venue":"Agricultural Water Management","topic":"Agricultural Innovations and Practices","field":"Agricultural and Biological Sciences","cited_by":134,"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 Ottawa","funders":"","keywords":"Rainwater harvesting; Irrigation; Agricultural economics; Agriculture; Econometric model; Business; Survey data collection; Logistic regression; Agricultural science; Economics; Geography; Environmental science; Mathematics; Econometrics; Statistics","score_opus":0.013896503721180772,"score_gpt":0.23034747136880926,"score_spread":0.2164509676476285,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2035612181","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9983468,0.00003236424,0.000002250588,0.00077932706,0.00003105803,0.0003390922,0.00003764194,0.0000036910244,0.0004277613],"genre_scores_gemma":[0.99958354,0.000024231558,0.00011535149,0.000019318699,0.000012857282,0.000008266262,0.000153084,4.353798e-7,0.00008293594],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987952,0.00006325299,0.00061964086,0.00016471774,0.00018913521,0.00016805492],"domain_scores_gemma":[0.99926764,0.00009739274,0.00045653092,0.000075871765,0.0000907884,0.000011806415],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007282569,0.00011299948,0.0002509528,0.00014280523,0.00007944387,0.000014165236,0.0002929269,0.000060443548,0.000058776932],"category_scores_gemma":[0.000011250968,0.00002653959,0.00008600777,0.002415545,0.000092647584,0.00018525335,0.00016148399,0.000080514204,3.1201796e-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":[0.00005808145,0.00029869107,0.6942945,0.00018530285,0.00050299277,0.0000032626745,0.0018094139,0.000562352,0.25359926,0.0020856143,0.00008679075,0.046513714],"study_design_scores_gemma":[0.000105069834,0.00008555029,0.93038154,0.000029580491,0.00021491984,0.000002630084,0.0039121304,0.00005125046,0.06476799,0.00020732527,0.0001716188,0.000070377064],"about_ca_topic_score_codex":0.00082558935,"about_ca_topic_score_gemma":0.001985196,"teacher_disagreement_score":0.23608704,"about_ca_system_score_codex":0.000018144961,"about_ca_system_score_gemma":8.002695e-7,"threshold_uncertainty_score":0.124804966},"labels":[],"label_agreement":null},{"id":"W2037855854","doi":"10.1016/j.agwat.2009.12.001","title":"Evaluation of FAO Penman–Monteith and alternative methods for estimating reference evapotranspiration with missing data in Southern Ontario, Canada","year":2009,"lang":"en","type":"article","venue":"Agricultural Water Management","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":367,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Guelph","funders":"Conselho Nacional de Desenvolvimento Científico e Tecnológico","keywords":"Evapotranspiration; Penman–Monteith equation; Missing data; Lysimeter; Environmental science; Vapour Pressure Deficit; Wind speed; Irrigation; Hydrology (agriculture); Semi-arid climate; Meteorology; Climatology; Mathematics; Geography; Statistics; Arid; Soil science; Ecology; Soil water","score_opus":0.03973551187776584,"score_gpt":0.28028040986131175,"score_spread":0.24054489798354592,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2037855854","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97951794,0.000010922458,0.016560085,0.00020771768,0.000024565497,0.00060524687,0.000017409768,0.0000056636713,0.0030504786],"genre_scores_gemma":[0.9010318,9.775299e-7,0.09826929,0.00002777113,0.000004760967,0.000017385744,0.00028471573,0.0000024734607,0.00036081162],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990713,0.000067030094,0.00017294145,0.00024449214,0.00030806797,0.00013615101],"domain_scores_gemma":[0.9997381,0.00001211128,0.00006337337,0.00013859212,0.000023187315,0.000024651365],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00067258615,0.00009654258,0.00009588267,0.000016888795,0.00005898112,0.000028356459,0.00014582666,0.000017493372,0.000029185456],"category_scores_gemma":[0.0000037728769,0.00005205268,0.0000068270774,0.00005340685,0.000015018158,0.00023200386,0.000059518377,0.0000472621,6.44608e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007161366,0.0001053659,0.007015507,0.000053701857,0.00012286476,0.000007136467,0.010807337,0.4910804,0.009677832,0.00023743347,0.00005079313,0.48077002],"study_design_scores_gemma":[0.00096923317,0.00010909022,0.12095955,0.00009318096,0.00025325475,0.0000052898995,0.0005263983,0.8730467,0.0010567555,0.0024679825,0.00025787664,0.00025467473],"about_ca_topic_score_codex":0.46917772,"about_ca_topic_score_gemma":0.8765149,"teacher_disagreement_score":0.48051533,"about_ca_system_score_codex":0.00030430907,"about_ca_system_score_gemma":0.000010728248,"threshold_uncertainty_score":0.5343571},"labels":[],"label_agreement":null},{"id":"W2040258378","doi":"10.1016/j.agwat.2013.10.011","title":"Shallow groundwater uptake and irrigation water redistribution within the potato root zone","year":2013,"lang":"en","type":"article","venue":"Agricultural Water Management","topic":"Soil Moisture and Remote Sensing","field":"Environmental Science","cited_by":76,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Agriculture and Agri-Food Canada; University of Manitoba","funders":"","keywords":"Groundwater; DNS root zone; Irrigation; Environmental science; Loam; Soil water; Hydrology (agriculture); Water table; Soil horizon; Soil science; Field capacity; Drainage; Water content; Agronomy; Geology; Geotechnical engineering; Ecology","score_opus":0.0051812872106964045,"score_gpt":0.17149018411307113,"score_spread":0.16630889690237471,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2040258378","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.961975,0.000008766948,0.00012148745,0.006785956,0.00022018343,0.0005292832,2.967721e-7,0.00005253175,0.030306503],"genre_scores_gemma":[0.99270296,0.000002306769,0.00025363188,0.00033157106,0.000080496575,0.000016011692,0.0001152232,0.000007405232,0.006490406],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9988194,0.00004434647,0.00021310378,0.00031171078,0.00027507448,0.0003363747],"domain_scores_gemma":[0.99971306,0.0000045774214,0.000032121927,0.00017298278,0.0000131367715,0.00006413141],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00017174809,0.00017841595,0.0000979483,0.000012586874,0.00030736576,0.00020480774,0.00013662528,0.000050513954,0.00021318556],"category_scores_gemma":[0.0000010254192,0.00005941983,0.0000431212,0.000062227184,0.00010101222,0.00036166733,0.00031236844,0.000097631855,0.0014634427],"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":[0.00008162555,0.00045416097,0.014023503,0.00017557104,0.0006617899,0.0001492633,0.023934256,0.0024059832,0.73020875,0.005063447,0.07340104,0.14944062],"study_design_scores_gemma":[0.0002900738,0.000048567636,0.9506889,0.000016500286,0.00006478969,0.00004020941,0.0010431795,0.0002549937,0.032645073,0.00495916,0.009683301,0.00026523083],"about_ca_topic_score_codex":0.0007697789,"about_ca_topic_score_gemma":0.0007561611,"teacher_disagreement_score":0.9366654,"about_ca_system_score_codex":0.00009758464,"about_ca_system_score_gemma":2.5637436e-7,"threshold_uncertainty_score":0.999314},"labels":[],"label_agreement":null},{"id":"W2040877652","doi":"10.1016/j.agwat.2014.02.018","title":"Mulching effects on water storage in soil and its depletion by alfalfa in the Loess Plateau of northwestern China","year":2014,"lang":"en","type":"article","venue":"Agricultural Water Management","topic":"Irrigation Practices and Water Management","field":"Agricultural and Biological Sciences","cited_by":101,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Saskatchewan Ministry of Agriculture","funders":"National Natural Science Foundation of China; National Science Foundation","keywords":"Mulch; Agronomy; Environmental science; Loam; Straw; Soil water; Soil fertility; Water content; Sowing; Soil science; Biology; Geology","score_opus":0.006194070607880045,"score_gpt":0.18583897910407485,"score_spread":0.1796449084961948,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2040877652","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99263024,0.00002234034,0.0000030839458,0.0049577984,0.000094966614,0.0006018049,0.000003363907,0.00001836864,0.001668031],"genre_scores_gemma":[0.9986321,0.000033635362,0.0000054055467,0.0004885911,0.000058762667,0.000063326115,0.0001959772,0.000001410702,0.00052079826],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.998499,0.0002551897,0.00028865028,0.00032980728,0.00028573332,0.00034165298],"domain_scores_gemma":[0.99974567,0.00006414898,0.00006988014,0.00007051925,0.000015161912,0.00003459516],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006065473,0.00019804064,0.00018233965,0.000031059088,0.0001181262,0.000114755254,0.00026367427,0.000051151612,0.000023399798],"category_scores_gemma":[0.0000031233565,0.00004779618,0.000044418546,0.00012678793,0.000014654708,0.00029636527,0.00017040955,0.00013638765,0.000035163885],"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":[0.00054937217,0.0023238203,0.031942748,0.001689121,0.00033667593,0.00022689313,0.031054912,0.006495067,0.69375056,0.0085315425,0.0037339402,0.21936533],"study_design_scores_gemma":[0.0009350573,0.0004759682,0.93136436,0.00014041224,0.000043630243,0.000004338631,0.0011812365,0.00041713027,0.050785884,0.0007123827,0.013537402,0.00040222376],"about_ca_topic_score_codex":0.00072356,"about_ca_topic_score_gemma":0.0010664923,"teacher_disagreement_score":0.8994216,"about_ca_system_score_codex":0.00002773889,"about_ca_system_score_gemma":1.8107087e-7,"threshold_uncertainty_score":0.19490717},"labels":[],"label_agreement":null},{"id":"W2042255934","doi":"10.1016/j.agwat.2011.11.014","title":"Nitrogen loading to offsite waters from liquid swine manure application under different drainage and tillage practices","year":2011,"lang":"en","type":"article","venue":"Agricultural Water Management","topic":"Soil and Water Nutrient Dynamics","field":"Environmental Science","cited_by":19,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Agriculture and Agri-Food Canada; Ministry of Agriculture, Food and Rural Affairs","funders":"Ontario Ministry of Agriculture, Food and Rural Affairs","keywords":"Environmental science; Drainage; Tillage; Liquid manure; Manure; Nitrogen; Environmental engineering; Agronomy; Ecology; Biology; Chemistry","score_opus":0.011235416465262094,"score_gpt":0.1949637183604682,"score_spread":0.1837283018952061,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2042255934","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9894151,0.000009831416,0.0005214829,0.001191055,0.00009667612,0.0005849951,0.0000064561937,0.000081265214,0.008093124],"genre_scores_gemma":[0.99761677,0.000018312017,0.0006525491,0.0004670604,0.00004477674,0.00009462364,0.00014419298,0.000013313651,0.00094840664],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99860895,0.00003695517,0.00020655271,0.0005214495,0.00025290708,0.00037320968],"domain_scores_gemma":[0.9994995,0.000008686756,0.000093195624,0.00024037235,0.0000072482103,0.00015100342],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008305484,0.00024300728,0.00015217047,0.000035946847,0.00015077183,0.00007828285,0.0002619426,0.00005072536,0.00011344201],"category_scores_gemma":[0.0000012234387,0.00012558883,0.000045709865,0.000094286406,0.000043662287,0.0003280676,0.00068387756,0.000072005525,0.0007105631],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0018463158,0.0016932695,0.65378994,0.0003083297,0.0013801454,0.0002565377,0.049763914,0.0010287829,0.26101482,0.0042617284,0.0064828205,0.01817342],"study_design_scores_gemma":[0.0009335382,0.00041718222,0.89491343,0.00004547542,0.00030345927,0.0000111987,0.0029299958,0.00025432216,0.06487971,0.023706174,0.010648254,0.0009572788],"about_ca_topic_score_codex":0.0006624355,"about_ca_topic_score_gemma":0.000051172014,"teacher_disagreement_score":0.24112351,"about_ca_system_score_codex":0.00012328403,"about_ca_system_score_gemma":2.2479402e-7,"threshold_uncertainty_score":0.9133088},"labels":[],"label_agreement":null},{"id":"W2048621697","doi":"10.1016/j.agwat.2014.09.018","title":"Predicting the mobile water content of vineyard soils in New South Wales, Australia","year":2014,"lang":"en","type":"article","venue":"Agricultural Water Management","topic":"Soil and Unsaturated Flow","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Grape and Wine Research and Development Corporation","keywords":"Pedotransfer function; Soil water; Vineyard; Environmental science; Soil science; Water content; Regression analysis; Linear regression; Field capacity; Mathematics; Hydrology (agriculture); Statistics; Hydraulic conductivity; Engineering; Geotechnical engineering; Geography","score_opus":0.017050430973796805,"score_gpt":0.1867518194927983,"score_spread":0.1697013885190015,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2048621697","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9957978,0.00003602386,0.00005698615,0.00022781361,0.0003840021,0.00038418814,0.0000024872302,0.000116574425,0.0029941269],"genre_scores_gemma":[0.9906923,0.000009348456,0.00007408356,0.00003254436,0.00014572155,0.00004794297,0.00004794397,0.000011870117,0.008938232],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.998919,0.000028200955,0.0003098256,0.00017053299,0.00017471265,0.00039773763],"domain_scores_gemma":[0.99970335,0.000009235191,0.000019697329,0.0001871757,0.000024122328,0.000056438857],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014190453,0.0001923896,0.00018158005,0.000044766923,0.000039132436,0.000045073833,0.00022539782,0.000056849363,0.000063566324],"category_scores_gemma":[0.0000015890129,0.000072179675,0.000074888776,0.00008396718,0.000019433726,0.000104139515,0.0000924609,0.00014415503,0.000116277246],"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":[0.00012390195,0.0002604984,0.021902846,0.0017329952,0.0017556499,0.000071655086,0.052286632,0.54209864,0.28809106,0.0021459498,0.04752867,0.042001497],"study_design_scores_gemma":[0.0029945434,0.00024352918,0.30136448,0.0003715169,0.00028802574,0.0000151098675,0.008010464,0.0091819,0.6398042,0.00046347495,0.03612839,0.0011343993],"about_ca_topic_score_codex":0.00020731534,"about_ca_topic_score_gemma":0.000072880386,"teacher_disagreement_score":0.5329167,"about_ca_system_score_codex":0.000041209394,"about_ca_system_score_gemma":7.572931e-7,"threshold_uncertainty_score":0.2943402},"labels":[],"label_agreement":null},{"id":"W2049445638","doi":"10.1016/j.agwat.2010.10.021","title":"Fate and transport of atrazine in a sandy soil in the presence of antibiotics in poultry manures","year":2010,"lang":"en","type":"article","venue":"Agricultural Water Management","topic":"Pharmaceutical and Antibiotic Environmental Impacts","field":"Environmental Science","cited_by":20,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Yeungnam University","keywords":"Atrazine; Lysimeter; Antibiotics; Leachate; Pesticide; Monensin; Environmental chemistry; Soil water; Biodegradation; Chemistry; Lindane; Soil contamination; Environmental science; Animal science; Toxicology; Agronomy; Biology; Soil science","score_opus":0.008481237565672465,"score_gpt":0.22591744115978385,"score_spread":0.2174362035941114,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2049445638","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.994207,0.000011548393,0.0000012212827,0.00063793233,0.000027921418,0.00027662312,0.0000031998231,0.0000026814596,0.004831865],"genre_scores_gemma":[0.9995159,0.00008367099,0.000121027246,0.00007996357,0.0000052190703,7.2751953e-7,0.0000064580954,0.0000025782267,0.00018444403],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99912244,0.00003105813,0.0002504607,0.00017579737,0.00019969165,0.00022053863],"domain_scores_gemma":[0.99981403,0.000015993794,0.00003171804,0.00010389011,0.0000010056419,0.000033339235],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019952943,0.00010719651,0.00013384415,0.000029714503,0.0000136206045,0.0000061362825,0.00019975279,0.000035518442,0.00007565031],"category_scores_gemma":[0.000002242518,0.00004912555,0.000024025821,0.00014414871,0.0001784487,0.00013222343,0.000113895716,0.00014711544,0.0000094519555],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001895903,0.00031019485,0.58351076,0.00007618518,0.00000565899,0.000035976213,0.0011273777,0.0007201756,0.41306293,0.0001208158,0.000034724562,0.0009762197],"study_design_scores_gemma":[0.00041946844,0.000028978355,0.9127733,0.000036835223,0.0000091815955,0.0000037592697,0.0005989552,0.000040778996,0.08571326,0.00021280225,0.00008288515,0.000079792764],"about_ca_topic_score_codex":0.00038863346,"about_ca_topic_score_gemma":0.0008534905,"teacher_disagreement_score":0.32926252,"about_ca_system_score_codex":0.000013746561,"about_ca_system_score_gemma":3.5934247e-7,"threshold_uncertainty_score":0.20032817},"labels":[],"label_agreement":null},{"id":"W2050086450","doi":"10.1016/j.agwat.2009.11.010","title":"Comparative evaluation of phosphorus losses from subsurface and naturally drained agricultural fields in the Pike River watershed of Quebec, Canada","year":2009,"lang":"en","type":"article","venue":"Agricultural Water Management","topic":"Soil and Water Nutrient Dynamics","field":"Environmental Science","cited_by":93,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McGill University","funders":"","keywords":"Loam; Soil water; Surface runoff; Environmental science; Hydrology (agriculture); Drainage; Phosphorus; Watershed; Soil texture; Geology; Soil science; Ecology; Chemistry","score_opus":0.00879075147618848,"score_gpt":0.20217322939547286,"score_spread":0.19338247791928437,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2050086450","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99611765,0.00008790687,0.0000025421434,0.0014324886,0.00007195715,0.0005061244,0.00000855486,0.0000068746194,0.0017658902],"genre_scores_gemma":[0.99915016,0.000023904695,0.000096269905,0.00015720793,0.000010555281,0.00001204822,0.00016226307,0.0000017708861,0.0003858227],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99850374,0.000117868825,0.00028204257,0.0002446876,0.00063080544,0.00022082616],"domain_scores_gemma":[0.9996757,0.0000260595,0.00008473995,0.0001430157,0.000038114624,0.000032365137],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017426936,0.00017296759,0.00021013604,0.000015068845,0.000056379486,0.000026609892,0.0002677626,0.000042249925,0.000032165095],"category_scores_gemma":[0.0000026130626,0.00007154538,0.000038999333,0.00015519618,0.000083366984,0.00020261557,0.0001052841,0.00008574894,0.0000046806936],"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":[0.0008916603,0.0024551905,0.48843142,0.00019956093,0.00114359,0.0001380835,0.24465342,0.10743186,0.04249514,0.0014699227,0.07991512,0.030775044],"study_design_scores_gemma":[0.00072771497,0.00004404138,0.98320407,0.000019219058,0.00007851429,0.0000011178005,0.0035673552,0.0003585434,0.009922487,0.0017122607,0.00020932047,0.00015533731],"about_ca_topic_score_codex":0.33389097,"about_ca_topic_score_gemma":0.35896015,"teacher_disagreement_score":0.49477267,"about_ca_system_score_codex":0.00017199788,"about_ca_system_score_gemma":0.0000041944813,"threshold_uncertainty_score":0.6705447},"labels":[],"label_agreement":null},{"id":"W2053568823","doi":"10.1016/j.agwat.2010.07.012","title":"Development of DRAIN–WARMF model to simulate flow and nitrogen transport in a tile-drained agricultural watershed in Eastern Canada","year":2010,"lang":"en","type":"article","venue":"Agricultural Water Management","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":18,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Nova Scotia Department of Agriculture; McGill University; University of Guelph","funders":"","keywords":"Watershed; Hydrology (agriculture); Subsurface flow; Environmental science; Tile drainage; Water table; Hydrological modelling; Time of concentration; Soil science; Soil water; Geology; Groundwater; Geotechnical engineering","score_opus":0.0066439171884103655,"score_gpt":0.18152191441110915,"score_spread":0.17487799722269878,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2053568823","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.993645,0.0000026975847,0.00004138027,0.0018970559,0.000086644315,0.00076313084,0.000004254392,0.000021817688,0.003537986],"genre_scores_gemma":[0.99454546,0.0000027709407,0.003276007,0.00033162895,0.000010992832,0.000109960216,0.00006129718,0.000008958102,0.0016529192],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9980452,0.000027227727,0.00048973836,0.0005043504,0.000328121,0.00060536957],"domain_scores_gemma":[0.9996574,0.0000075141647,0.00004581499,0.00015982284,0.000010282839,0.00011917419],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024839092,0.0003044768,0.0003102328,0.00008162914,0.00010794929,0.000015280892,0.00029188523,0.00006850827,0.000086000065],"category_scores_gemma":[0.000001993985,0.00016817775,0.00003768849,0.00020692787,0.00006482886,0.00019468382,0.0004792789,0.0001693231,0.000041157462],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00043709044,0.00064103276,0.34018198,0.0003896051,0.00051474187,0.00041017713,0.070987694,0.47904748,0.094199516,0.00022147785,0.0023936331,0.010575572],"study_design_scores_gemma":[0.0018285846,0.00004911711,0.9717499,0.00004336089,0.0000522959,0.0000041211983,0.001573645,0.007138133,0.012176023,0.00043601778,0.0041867625,0.0007620093],"about_ca_topic_score_codex":0.01839839,"about_ca_topic_score_gemma":0.5297434,"teacher_disagreement_score":0.63156796,"about_ca_system_score_codex":0.00013584453,"about_ca_system_score_gemma":0.0000053247677,"threshold_uncertainty_score":0.9881382},"labels":[],"label_agreement":null},{"id":"W2053734387","doi":"10.1016/j.agwat.2013.01.006","title":"Fuzzy two-stage non-point source pollution management model for agricultural systems—A case study for the Lake Tai Basin, China","year":2013,"lang":"en","type":"article","venue":"Agricultural Water Management","topic":"Water resources management and optimization","field":"Engineering","cited_by":31,"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 Regina","funders":"National Science Fund for Distinguished Young Scholars","keywords":"Fuzzy logic; Agriculture; Pollution; Interval (graph theory); Stochastic programming; Nonpoint source pollution; Agricultural land; Fuzzy set; Computer science; Environmental science; China; Stage (stratigraphy); Operations research; Environmental economics; Environmental resource management; Mathematical optimization; Mathematics; Economics; Geography; Ecology","score_opus":0.008454266431609733,"score_gpt":0.19112014227931962,"score_spread":0.18266587584770988,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2053734387","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6428145,0.000107892934,0.31627932,0.001361829,0.0012174584,0.026881538,0.00007348978,0.0010049336,0.010258991],"genre_scores_gemma":[0.9487681,0.000023202967,0.0016260669,0.00007360493,0.00026010373,0.005349794,0.0003575213,0.00006165247,0.04347996],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9975908,0.000042547068,0.0006039804,0.0005587444,0.0003655616,0.00083838636],"domain_scores_gemma":[0.9991888,0.000020026811,0.00009985265,0.00046200995,0.00011651278,0.00011283109],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00033945596,0.0005717393,0.00035189438,0.00014399044,0.0006350857,0.0007543475,0.00048715394,0.00006712242,0.000023168872],"category_scores_gemma":[0.0000016096091,0.00027487683,0.00024026776,0.00023361467,0.00002609873,0.0006242045,0.00032776012,0.00012574042,0.00007974557],"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":[0.00001684241,0.00012332495,0.000020165187,0.00060931616,0.0008101653,0.000032395776,0.002367423,0.97192425,0.000087739194,0.0007373194,0.02174254,0.001528524],"study_design_scores_gemma":[0.003625363,0.00018127554,0.00473788,0.000070127724,0.0010893851,0.000047659418,0.029511167,0.9460044,0.00017430262,0.00015411816,0.013403781,0.001000575],"about_ca_topic_score_codex":0.00017860316,"about_ca_topic_score_gemma":0.0001990362,"teacher_disagreement_score":0.31465325,"about_ca_system_score_codex":0.00017190682,"about_ca_system_score_gemma":8.5877116e-7,"threshold_uncertainty_score":0.9999703},"labels":[],"label_agreement":null},{"id":"W2055094280","doi":"10.1016/j.agwat.2006.12.007","title":"Water table management impacts on phosphorus loads in tile drainage","year":2007,"lang":"en","type":"article","venue":"Agricultural Water Management","topic":"Soil and Water Nutrient Dynamics","field":"Environmental Science","cited_by":55,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Tile drainage; Drainage; Water table; Water quality; Phosphorus; Hydrology (agriculture); Saturation (graph theory); Environmental science; Soil water; Field experiment; Chemistry; Fertilizer; Animal science; Soil science; Agronomy; Geology; Groundwater; Ecology; Mathematics; Geotechnical engineering; Biology","score_opus":0.004030708651896025,"score_gpt":0.18601738252682057,"score_spread":0.18198667387492454,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2055094280","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7640946,0.000009092439,0.000044509765,0.00049856375,0.00028614298,0.00062207127,0.0000022868276,0.00008508565,0.23435767],"genre_scores_gemma":[0.976367,0.000037820915,0.00029113464,0.0006315383,0.000045614433,0.00005680608,0.00013201284,0.00002047232,0.022417622],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9971538,0.000028810076,0.00039633363,0.0006222567,0.00056129246,0.0012374773],"domain_scores_gemma":[0.9994113,0.000008725783,0.000037465343,0.00036584615,0.0000070230967,0.00016968293],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00049759686,0.00035986156,0.00021087007,0.000111343375,0.00016215717,0.00010557904,0.000446045,0.00007781795,0.00039370378],"category_scores_gemma":[8.143651e-7,0.00017335863,0.000086535525,0.0003017585,0.00006476676,0.00032529968,0.00078959216,0.00016047266,0.004264877],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0026004536,0.009541628,0.48723528,0.0012198646,0.0015045548,0.0150861535,0.02878094,0.05015943,0.03193669,0.023689425,0.1697998,0.17844579],"study_design_scores_gemma":[0.002885625,0.00032680543,0.7365239,0.000119525226,0.00009291025,0.000020277948,0.001885803,0.00016252745,0.08438997,0.009627922,0.16266717,0.0012975411],"about_ca_topic_score_codex":0.0002861645,"about_ca_topic_score_gemma":0.00006128742,"teacher_disagreement_score":0.24928865,"about_ca_system_score_codex":0.0005554419,"about_ca_system_score_gemma":3.6939522e-7,"threshold_uncertainty_score":0.99651045},"labels":[],"label_agreement":null},{"id":"W2055099471","doi":"10.1016/j.agwat.2011.07.007","title":"Impact of modified tillage on runoff and nutrient loads from potato fields in Prince Edward Island","year":2011,"lang":"en","type":"article","venue":"Agricultural Water Management","topic":"Soil and Water Nutrient Dynamics","field":"Environmental Science","cited_by":22,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Nova Scotia Department of Agriculture; University of Prince Edward Island; Agriculture and Agri-Food Canada; University of Guelph","funders":"","keywords":"Surface runoff; Tillage; Nutrient; Environmental science; Hydrology (agriculture); Agronomy; Geology; Geotechnical engineering; Biology; Ecology","score_opus":0.00812035916991184,"score_gpt":0.19389894555751802,"score_spread":0.1857785863876062,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2055099471","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9823859,0.000008572846,0.000029688199,0.00006392168,0.000073393676,0.0002954067,0.000010647648,0.000017396585,0.01711509],"genre_scores_gemma":[0.99902177,0.00004511393,0.00012571261,0.000044868142,0.000013021256,0.000018559285,0.000034390658,0.0000055774526,0.0006910106],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989654,0.000027323378,0.00022034717,0.00031327078,0.0001982271,0.0002754239],"domain_scores_gemma":[0.99968904,0.000008325891,0.000045005858,0.00018437099,0.0000047256253,0.00006851162],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006520701,0.00017612877,0.00016720824,0.00003622063,0.00003498029,0.000018473305,0.0001827112,0.000053305506,0.00013071137],"category_scores_gemma":[8.69893e-7,0.000086840315,0.00006336422,0.00009453246,0.000052509153,0.00012560707,0.0003111329,0.00007437002,0.00008849376],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003071487,0.0005696092,0.9835934,0.000031136835,0.000116919866,0.00008183178,0.0075625875,0.0018171221,0.00088510214,0.0003727924,0.0012556904,0.003406636],"study_design_scores_gemma":[0.0006765653,0.00020203555,0.9907051,0.000026095606,0.000018392651,0.0000014003275,0.00012927759,0.00017644028,0.0024731609,0.0052793524,0.00012963089,0.00018256414],"about_ca_topic_score_codex":0.0018886144,"about_ca_topic_score_gemma":0.00016995742,"teacher_disagreement_score":0.016635863,"about_ca_system_score_codex":0.00009743951,"about_ca_system_score_gemma":5.699385e-7,"threshold_uncertainty_score":0.35412452},"labels":[],"label_agreement":null},{"id":"W2056999818","doi":"10.1016/j.agwat.2008.11.001","title":"Water user associations in Inner Mongolia: Factors that influence farmers to join","year":2008,"lang":"en","type":"article","venue":"Agricultural Water Management","topic":"China's Socioeconomic Reforms and Governance","field":"Social Sciences","cited_by":49,"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 Lethbridge","funders":"World Bank Group","keywords":"Business; Cropping; Irrigation; Water resources; Revenue; Water use; Water scarcity; Inner mongolia; Resource (disambiguation); Water resource management; Natural resource economics; Agriculture; Geography; Economics; Environmental science; China; Finance","score_opus":0.015195451322759778,"score_gpt":0.2329577146112062,"score_spread":0.21776226328844642,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2056999818","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9797702,0.0000066547527,0.0000026965163,0.0058677397,0.00023594996,0.000491614,0.000007869157,0.000050729344,0.013566551],"genre_scores_gemma":[0.9677583,0.000088898385,0.000048426522,0.0005354254,0.000054752472,0.00005596737,0.00003383653,0.0000074597665,0.031416953],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984579,0.000051593608,0.00024733244,0.00030284037,0.00032720785,0.00061310636],"domain_scores_gemma":[0.9996426,0.000012811376,0.00005174054,0.00013473319,0.000040235333,0.0001178815],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020960529,0.00017486227,0.0001936277,0.00006147458,0.00049966475,0.00009602889,0.00030929752,0.000079551835,0.00011909059],"category_scores_gemma":[0.000008546967,0.00008241996,0.0000925311,0.00013988372,0.00006988189,0.0006467261,0.0001828184,0.00012060364,0.00045207262],"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":[0.000009660329,0.00014400306,0.7596865,0.000018297622,0.00013878696,0.000045703375,0.2174669,0.0012998871,0.0010855844,0.005473618,0.014167659,0.000463336],"study_design_scores_gemma":[0.00019636854,0.000010614963,0.9069794,0.000008954938,0.000007862219,3.351728e-7,0.0073878122,5.0424063e-7,0.001571629,0.00033638166,0.083277345,0.00022281302],"about_ca_topic_score_codex":0.015746744,"about_ca_topic_score_gemma":0.006634818,"teacher_disagreement_score":0.2100791,"about_ca_system_score_codex":0.000659151,"about_ca_system_score_gemma":0.0000073484143,"threshold_uncertainty_score":0.9908075},"labels":[],"label_agreement":null},{"id":"W2065219204","doi":"10.1016/j.agwat.2010.12.013","title":"Effects of snowmelt on phosphorus and sediment losses from agricultural watersheds in Eastern Canada","year":2011,"lang":"en","type":"article","venue":"Agricultural Water Management","topic":"Soil and Water Nutrient Dynamics","field":"Environmental Science","cited_by":59,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Fredericton; Institut National de la Recherche Scientifique; Agriculture and Agri-Food Canada","funders":"","keywords":"Snowmelt; Environmental science; Hydrology (agriculture); Watershed; Surface runoff; Snow; Soil water; Sediment; Precipitation; Geology; Ecology; Soil science; Geography; Biology; Meteorology","score_opus":0.004383371827025028,"score_gpt":0.14779624493951116,"score_spread":0.14341287311248613,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2065219204","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99355453,0.000035078083,0.0000018679312,0.00015959764,0.00026046843,0.0004259022,0.0000062138474,0.000019440926,0.005536912],"genre_scores_gemma":[0.9984412,0.00004143368,0.00013436649,0.00015767792,0.000019345942,0.000042759577,0.000051075767,0.000007357646,0.0011047634],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985586,0.000038331687,0.00026903796,0.00039256824,0.00035244515,0.00038903355],"domain_scores_gemma":[0.9996795,0.000017069886,0.000053558975,0.00014261345,0.000006960294,0.000100286285],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000050619205,0.0002534859,0.0002114176,0.000024812083,0.000052351326,0.000022161614,0.0002323555,0.000044561777,0.000057641966],"category_scores_gemma":[0.000001141241,0.00012058451,0.000040158884,0.00010865258,0.00005943129,0.00015443498,0.0003724228,0.00008229153,0.00006993946],"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":[0.00020146175,0.0007265121,0.97350734,0.00018862374,0.00024967262,0.00037715316,0.008794784,0.0003668948,0.00454623,0.00020538762,0.0037640368,0.007071874],"study_design_scores_gemma":[0.0007108297,0.00010460721,0.9157579,0.00006180599,0.000043474192,0.0000017607593,0.00062213885,0.00002337367,0.081290536,0.00055309,0.00057916355,0.00025134886],"about_ca_topic_score_codex":0.29136088,"about_ca_topic_score_gemma":0.024600832,"teacher_disagreement_score":0.26676005,"about_ca_system_score_codex":0.00022255484,"about_ca_system_score_gemma":0.0000014094143,"threshold_uncertainty_score":0.9931977},"labels":[],"label_agreement":null},{"id":"W2066842436","doi":"10.1016/j.agwat.2008.07.012","title":"Response of two-row malting spring barley to water cutoff under sprinkler irrigation","year":2008,"lang":"en","type":"article","venue":"Agricultural Water Management","topic":"Irrigation Practices and Water Management","field":"Agricultural and Biological Sciences","cited_by":23,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Alberta Environment and Protected Areas","funders":"Bureau of Reclamation; Idaho Barley Commission","keywords":"Irrigation; Agronomy; Environmental science; Yield (engineering); Grain quality; Cropping; Cropping system; Growing season; Mathematics; Crop; Agriculture; Biology; Materials science","score_opus":0.02366001029668541,"score_gpt":0.2248956120397739,"score_spread":0.2012356017430885,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2066842436","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98342323,0.000008877731,0.0000503692,0.009837732,0.00023261778,0.00066757575,0.00000429129,0.00010770045,0.0056676064],"genre_scores_gemma":[0.99018013,0.00000806723,0.0007923405,0.0009439744,0.00014462296,0.000058687914,0.00009819034,0.0000031230109,0.007770838],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.997724,0.00017888773,0.00050154794,0.00049799675,0.00050838816,0.0005891635],"domain_scores_gemma":[0.9994466,0.000038856637,0.000102337435,0.00014269612,0.00012704197,0.00014247827],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00063241814,0.00027519485,0.0002371043,0.000050427006,0.0003970461,0.00010547731,0.00038578972,0.00005613727,0.00069640676],"category_scores_gemma":[0.0000049698183,0.00008086296,0.00013750428,0.00025127962,0.00004047732,0.00049623614,0.0005682034,0.00010685227,0.00071088964],"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":[0.0002949686,0.00018127364,0.0027732833,0.000039269966,0.00017409379,0.0000589547,0.0013649086,0.0025270917,0.98393947,0.0030208463,0.0017241345,0.0039016777],"study_design_scores_gemma":[0.0005497147,0.00025908148,0.5975535,0.000048728743,0.00007664201,0.000017743345,0.0012065418,0.000044184864,0.34535882,0.0007884602,0.053548776,0.00054782437],"about_ca_topic_score_codex":0.0004077589,"about_ca_topic_score_gemma":0.00008832446,"teacher_disagreement_score":0.6385807,"about_ca_system_score_codex":0.00008385339,"about_ca_system_score_gemma":0.0000013069249,"threshold_uncertainty_score":0.91372854},"labels":[],"label_agreement":null},{"id":"W2069821497","doi":"10.1016/j.agwat.2015.01.025","title":"Effects of different drip irrigation regimes on saline–sodic soil nutrients and cotton yield in an arid region of Northwest China","year":2015,"lang":"en","type":"article","venue":"Agricultural Water Management","topic":"Soil and Unsaturated Flow","field":"Engineering","cited_by":35,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Fundamental Research Funds for the Central Universities; Chinese Academy of Sciences; National High-tech Research and Development Program; Western University; National Natural Science Foundation of China; National Science Foundation","keywords":"Environmental science; Drip irrigation; Soil salinity; Agronomy; Irrigation; Nutrient; Land reclamation; Sodic soil; Salinity; Arid; Phosphorus; Field experiment; Soil carbon; Soil water; Soil science; Chemistry; Ecology; Biology","score_opus":0.007789697594334911,"score_gpt":0.17777601098891044,"score_spread":0.16998631339457554,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2069821497","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.998204,0.00007762203,0.000015687334,0.00008218849,0.00023697603,0.00032980138,0.0000013358641,0.000056374243,0.0009960213],"genre_scores_gemma":[0.99956864,0.000064974985,0.000018543667,0.000011549333,0.000037150596,0.000025220123,0.000102954626,0.000009111241,0.00016186666],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99923635,0.000026496604,0.00022234059,0.00016597426,0.00017886957,0.00016997158],"domain_scores_gemma":[0.9997275,0.000012603284,0.000040685307,0.00012324286,0.000030184015,0.000065777895],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004446877,0.00016967117,0.00020492087,0.00009196502,0.000016553797,0.000017657781,0.0000884843,0.000061143764,8.4653385e-7],"category_scores_gemma":[0.0000032705418,0.00009132179,0.000030249752,0.00011112435,0.000019348445,0.00013896287,0.000036768164,0.00008637302,0.0000023119962],"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":[0.0031138093,0.008287788,0.21663965,0.022985363,0.0027303745,0.0010849494,0.082670435,0.22418576,0.24941997,0.015702326,0.027399024,0.14578055],"study_design_scores_gemma":[0.0014204325,0.00037377287,0.7771423,0.00041653228,0.00006464483,0.0000032152823,0.00032385867,0.0013695969,0.21807063,0.0005012343,0.00006916652,0.00024461932],"about_ca_topic_score_codex":0.00016345618,"about_ca_topic_score_gemma":0.00013041095,"teacher_disagreement_score":0.56050265,"about_ca_system_score_codex":0.000047799855,"about_ca_system_score_gemma":8.110748e-7,"threshold_uncertainty_score":0.37239945},"labels":[],"label_agreement":null},{"id":"W2076494808","doi":"10.1016/j.agwat.2010.10.015","title":"Transpirational response to water availability for winter wheat as affected by soil textures","year":2010,"lang":"en","type":"article","venue":"Agricultural Water Management","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":26,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"CAS-SAFEA International Partnership Program for Creative Research Teams","keywords":"Loam; Soil water; Soil texture; Environmental science; Transpiration; Water content; Field capacity; Soil science; Agronomy; Suction; Hydrology (agriculture); Geology; Geotechnical engineering; Chemistry; Geography","score_opus":0.0032350997248005954,"score_gpt":0.1864478340582274,"score_spread":0.1832127343334268,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2076494808","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9902463,0.0000012297834,0.0002325519,0.00447593,0.00021047828,0.00087691005,0.00005477172,0.000064307555,0.0038374988],"genre_scores_gemma":[0.96945673,7.120631e-7,0.0005023466,0.0005195018,0.000034722834,0.00022107309,0.0004848409,0.000009975356,0.028770069],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9986725,0.000049268237,0.0002127355,0.00041302905,0.00025922994,0.00039325005],"domain_scores_gemma":[0.9996241,0.000017252582,0.000015548037,0.00020805326,0.000014704265,0.000120398065],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00029430538,0.00019891784,0.00011916194,0.00002806956,0.000178887,0.00009947214,0.0002444678,0.00007721622,0.0015293912],"category_scores_gemma":[0.0000041617423,0.00009255152,0.00009223505,0.000061500956,0.000051220737,0.00020728169,0.00014810366,0.00011456159,0.0014295793],"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":[0.00019120789,0.000100580015,0.0003294952,0.000010205779,0.000031781732,0.0000036671508,0.00076023873,0.001064727,0.98187876,0.000045935994,0.015024056,0.0005593284],"study_design_scores_gemma":[0.0012114748,0.00034201948,0.09049763,0.000012995606,0.00009829378,0.000021942526,0.00007894342,0.00076852285,0.5740646,0.0012060573,0.3309403,0.00075721287],"about_ca_topic_score_codex":0.000057604197,"about_ca_topic_score_gemma":0.0002864569,"teacher_disagreement_score":0.40781417,"about_ca_system_score_codex":0.00008058284,"about_ca_system_score_gemma":9.05176e-7,"threshold_uncertainty_score":0.99938333},"labels":[],"label_agreement":null},{"id":"W2078953819","doi":"10.1016/j.agwat.2006.01.003","title":"Modeling runoff from middle Himalayan watersheds employing artificial intelligence techniques","year":2006,"lang":"en","type":"article","venue":"Agricultural Water Management","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":61,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Shastri Indo-Canadian Institute","keywords":"Surface runoff; Base flow; Environmental science; Hydrology (agriculture); Streamflow; Mars Exploration Program; Precipitation; Flow (mathematics); Runoff curve number; Drainage basin; Geography; Meteorology; Mathematics; Geology; Ecology; Cartography; Geotechnical engineering","score_opus":0.01875872227683708,"score_gpt":0.20357427856113583,"score_spread":0.18481555628429874,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2078953819","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9509649,0.00002437884,0.008813128,0.0022622615,0.00024417325,0.00058174256,0.000004106664,0.00038766194,0.03671763],"genre_scores_gemma":[0.99250174,0.000022242548,0.0040644393,0.00027719338,0.00017174467,0.00012093874,0.00013814762,0.000016719385,0.0026868414],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.997891,0.00005337518,0.0004350019,0.0006324954,0.00032722243,0.0006608692],"domain_scores_gemma":[0.99961334,0.000008950424,0.0000419481,0.00027013855,0.000010431874,0.000055203745],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000202865,0.00032925297,0.00022732082,0.000059465594,0.00043248318,0.00010856332,0.00042399525,0.00008151761,0.0007232214],"category_scores_gemma":[0.0000012876211,0.00018797966,0.0001074209,0.00015045008,0.000120421355,0.00039545228,0.000982048,0.00013380952,0.001377338],"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":[0.0003664753,0.0019902547,0.040825866,0.00027174127,0.0015000595,0.00080895936,0.0101369275,0.65309995,0.16632402,0.018937025,0.027043825,0.07869487],"study_design_scores_gemma":[0.00065079896,0.00041838898,0.05730253,0.00024730046,0.000962222,0.000016441069,0.006354828,0.034861904,0.5671164,0.29693043,0.030814162,0.004324611],"about_ca_topic_score_codex":0.001998512,"about_ca_topic_score_gemma":0.00032149343,"teacher_disagreement_score":0.6182381,"about_ca_system_score_codex":0.00014313651,"about_ca_system_score_gemma":3.7998373e-7,"threshold_uncertainty_score":0.9994002},"labels":[],"label_agreement":null},{"id":"W2086627852","doi":"10.1016/j.agwat.2011.10.010","title":"Implementing irrigation: Water balances and irrigation quality in the Lerma basin (Spain)","year":2011,"lang":"en","type":"article","venue":"Agricultural Water Management","topic":"Irrigation Practices and Water Management","field":"Agricultural and Biological Sciences","cited_by":29,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Laurentian University","funders":"European Commission","keywords":"Irrigation; Environmental science; Evapotranspiration; Irrigation statistics; Deficit irrigation; Hydrology (agriculture); Water conservation; Irrigation management; Water resource management; Farm water; Water resources; Water quality; Drainage; Pan evaporation; Water use; Agronomy; Geology","score_opus":0.03908294808750441,"score_gpt":0.24449655154857514,"score_spread":0.20541360346107074,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2086627852","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9436595,0.000018824598,0.000007690955,0.009667075,0.00012190721,0.00069298677,0.000004913795,0.000055802702,0.045771312],"genre_scores_gemma":[0.99694645,0.00001980444,0.00017463096,0.0011523409,0.00012429853,0.00012426815,0.0003007165,0.0000013000824,0.0011561766],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9978512,0.00030838192,0.00046721092,0.0004139415,0.00036586093,0.00059340225],"domain_scores_gemma":[0.99965566,0.000041053387,0.00010286646,0.00010152319,0.00004831364,0.000050589686],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015972403,0.00022251543,0.00016952596,0.000023404618,0.0004580866,0.00027214552,0.00035361748,0.00004864593,0.0006630413],"category_scores_gemma":[0.000003278338,0.00005305092,0.0000696613,0.00017649634,0.000049131315,0.0006961942,0.00032214585,0.000117924625,0.000096798874],"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":[0.0004053425,0.001714452,0.109734,0.0007404277,0.0007802104,0.00025288534,0.071740106,0.000046001413,0.14349425,0.28259492,0.0066195717,0.3818778],"study_design_scores_gemma":[0.0003216029,0.000095705625,0.91569096,0.000021798558,0.000046027202,0.0000068576855,0.010715321,0.000017571745,0.008201924,0.01004828,0.054514296,0.00031965296],"about_ca_topic_score_codex":0.0009459131,"about_ca_topic_score_gemma":0.0009220094,"teacher_disagreement_score":0.80595696,"about_ca_system_score_codex":0.000031116535,"about_ca_system_score_gemma":5.025496e-7,"threshold_uncertainty_score":0.72598374},"labels":[],"label_agreement":null},{"id":"W2087703705","doi":"10.1016/s0378-3774(01)00142-1","title":"Evaluation of irrigation schemes for sugarcane in Sindh, Pakistan, using SWAP93","year":2002,"lang":"en","type":"article","venue":"Agricultural Water Management","topic":"Irrigation Practices and Water Management","field":"Agricultural and Biological Sciences","cited_by":18,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Irrigation; Environmental science; Irrigation scheduling; Deficit irrigation; Irrigation management; Water balance; Water-use efficiency; Low-flow irrigation systems; Saccharum officinarum; Hydrology (agriculture); Soil water; Mathematics; Agronomy; Soil science; Engineering","score_opus":0.08077773540772189,"score_gpt":0.28493349893735664,"score_spread":0.20415576352963477,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2087703705","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9904525,0.000087676206,0.000025440697,0.0016410308,0.0001327629,0.0012310299,0.000010056092,0.000026619196,0.006392833],"genre_scores_gemma":[0.99829984,0.000016466063,0.00047606483,0.000076936914,0.00008036534,0.00011362597,0.00016668704,0.0000012676375,0.0007687451],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9982804,0.00011885584,0.00040639148,0.00029966296,0.0005997988,0.0002949116],"domain_scores_gemma":[0.99950075,0.000031125906,0.0001068515,0.00006599439,0.00025742606,0.000037824248],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010022933,0.00015441982,0.00015912268,0.00003404854,0.00012154021,0.000075751595,0.00017589821,0.000049438957,0.00059286086],"category_scores_gemma":[0.000009592318,0.000051716772,0.000082524675,0.0002505173,0.000022839835,0.00037841755,0.00008825119,0.000048273654,0.000024215671],"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":[0.00009943003,0.0011143753,0.0018449579,0.00033724032,0.00044038778,0.000009452838,0.001895461,0.0052502127,0.41002697,0.015483092,0.0023325207,0.56116587],"study_design_scores_gemma":[0.007619146,0.0011907079,0.35145816,0.000496252,0.0021505835,0.000015531137,0.013128361,0.09189865,0.24031289,0.036557674,0.25264072,0.0025313306],"about_ca_topic_score_codex":0.00015820112,"about_ca_topic_score_gemma":0.00021555353,"teacher_disagreement_score":0.5586346,"about_ca_system_score_codex":0.00013088911,"about_ca_system_score_gemma":9.1951154e-7,"threshold_uncertainty_score":0.6491411},"labels":[],"label_agreement":null},{"id":"W2109877806","doi":"10.1016/s0378-3774(99)00109-2","title":"Influence of water table management on corn and soybean yields","year":2000,"lang":"en","type":"article","venue":"Agricultural Water Management","topic":"Soil Carbon and Nitrogen Dynamics","field":"Agricultural and Biological Sciences","cited_by":91,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Drainage; Water table; Agronomy; Yield (engineering); Crop; Environmental science; Field experiment; Table (database); Water use; Mathematics; Biology; Groundwater","score_opus":0.0065849953299016075,"score_gpt":0.17558414962680222,"score_spread":0.1689991542969006,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2109877806","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96987575,0.00001540065,1.0702581e-7,0.0007255885,0.000036748326,0.00035780316,0.00000835595,0.00006206622,0.028918205],"genre_scores_gemma":[0.9889621,0.00010962333,0.000040659008,0.00044822157,0.000044975615,0.000035592966,0.00010471684,0.0000013783782,0.010252703],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9986747,0.000033396373,0.00024553502,0.0003554096,0.00027376102,0.00041723278],"domain_scores_gemma":[0.9997504,0.0000131854895,0.000027330607,0.0000891831,0.000033237433,0.00008670672],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011978665,0.00021342587,0.00018322341,0.000016763104,0.00013976652,0.00006072215,0.00024072795,0.00006145494,0.00052336295],"category_scores_gemma":[5.389637e-7,0.000055062195,0.00006769202,0.00013444999,0.00005157491,0.00012440384,0.00015732653,0.00007928578,0.00020097947],"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":[0.0008350683,0.001576113,0.010259732,0.00062760396,0.0013330857,0.0003783274,0.0021926921,0.0064129257,0.623121,0.013732049,0.007853676,0.33167773],"study_design_scores_gemma":[0.000665498,0.0005221356,0.8771613,0.00010260621,0.00014242117,0.000018195504,0.000832081,0.00012388645,0.0941027,0.0014865291,0.024148593,0.0006940371],"about_ca_topic_score_codex":0.00014191102,"about_ca_topic_score_gemma":0.000063082276,"teacher_disagreement_score":0.8669016,"about_ca_system_score_codex":0.000022730803,"about_ca_system_score_gemma":2.3816537e-7,"threshold_uncertainty_score":0.5730457},"labels":[],"label_agreement":null},{"id":"W2138707322","doi":"10.1016/s0378-3774(00)00086-x","title":"Effect of initial soil salinity and subirrigation water salinity on potato tuber yield and size","year":2001,"lang":"en","type":"article","venue":"Agricultural Water Management","topic":"Potato Plant Research","field":"Agricultural and Biological Sciences","cited_by":32,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Lysimeter; Salinity; Brackish water; Agronomy; Soil salinity; Saline water; Environmental science; Soil water; Cultivar; Horticulture; Soil science; Biology","score_opus":0.01750764057097772,"score_gpt":0.2538240565192589,"score_spread":0.23631641594828115,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2138707322","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9936478,0.000017149714,1.9087715e-7,0.0017377537,0.000071156785,0.00048963854,0.000016010015,0.000047036414,0.0039732675],"genre_scores_gemma":[0.99875116,0.00008117002,0.000006976632,0.00012519135,0.000114443654,0.000033180175,0.00014413061,0.0000012597167,0.00074246305],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9984318,0.00017979268,0.00024927122,0.0003641575,0.00034583267,0.0004291167],"domain_scores_gemma":[0.9993796,0.0003475073,0.00003661848,0.00006322848,0.000047215286,0.00012582923],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005720378,0.0002215936,0.00024396378,0.00001424131,0.00018838671,0.00009833907,0.00015292356,0.00008732366,0.0002881854],"category_scores_gemma":[0.000027375392,0.000054091553,0.00006237043,0.00010186077,0.00008666575,0.00017058128,0.00026328437,0.00014923565,0.000071854505],"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":[0.00085923437,0.00020263236,0.015929306,0.00021236588,0.00016208351,0.00013555918,0.000502386,0.000011100332,0.92360866,0.00021480177,0.0010865849,0.0570753],"study_design_scores_gemma":[0.0005193816,0.0010571078,0.4847038,0.000060671588,0.00005583174,0.000039855593,0.0001675126,0.000010362115,0.51112527,0.00043802932,0.0015451798,0.00027701657],"about_ca_topic_score_codex":0.00049677363,"about_ca_topic_score_gemma":0.00030903553,"teacher_disagreement_score":0.4687745,"about_ca_system_score_codex":0.000020695168,"about_ca_system_score_gemma":6.265828e-7,"threshold_uncertainty_score":0.31554282},"labels":[],"label_agreement":null},{"id":"W2154025122","doi":"10.1016/s0378-3774(99)00050-5","title":"Modeling and testing of the effect of tillage, cropping and water management practices on nitrate leaching in clay loam soil","year":2000,"lang":"en","type":"article","venue":"Agricultural Water Management","topic":"Soil and Water Nutrient Dynamics","field":"Environmental Science","cited_by":32,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Agriculture and Agri-Food Canada","funders":"","keywords":"Loam; Tillage; Environmental science; Drainage; Leaching (pedology); Plough; Tile drainage; Intercropping; Agronomy; Nitrate; Soil management; Soil water; Hydrology (agriculture); Soil science; Chemistry; Engineering; Geotechnical engineering; Ecology","score_opus":0.008519719560924439,"score_gpt":0.20147734594557126,"score_spread":0.19295762638464684,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2154025122","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9842552,0.00001313253,0.000005192731,0.00022046588,0.000039715505,0.0004275693,8.813313e-7,0.000014927496,0.015022898],"genre_scores_gemma":[0.9989453,0.000038067374,0.00018528545,0.000046538804,0.000010400635,0.000018853132,0.0000053957287,0.000007681037,0.00074250554],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99874985,0.000105702566,0.00028205544,0.00031596966,0.00025345033,0.00029297627],"domain_scores_gemma":[0.99970514,0.00002740978,0.000072477866,0.00015763835,0.000004367198,0.00003295341],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003875781,0.00018521327,0.00017367039,0.000037265803,0.00012705543,0.00004709836,0.00017523111,0.00003355228,0.000017866132],"category_scores_gemma":[0.0000036283814,0.00007456856,0.000036151767,0.00011416682,0.00006693799,0.0002325681,0.0003896996,0.00010882896,0.000015667214],"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":[0.00022730313,0.00016112396,0.36907038,0.0009142335,0.00016867011,0.000048184706,0.0035929072,0.54569083,0.025992101,0.000050267347,0.00004471739,0.05403929],"study_design_scores_gemma":[0.0040846625,0.0008239562,0.66877496,0.0012308263,0.0004628841,0.000038940772,0.0015688797,0.1434774,0.17535654,0.0026255476,0.0004556502,0.0010997714],"about_ca_topic_score_codex":0.0004535204,"about_ca_topic_score_gemma":0.000036751608,"teacher_disagreement_score":0.40221342,"about_ca_system_score_codex":0.000038707225,"about_ca_system_score_gemma":2.0488407e-7,"threshold_uncertainty_score":0.30408177},"labels":[],"label_agreement":null},{"id":"W2194053738","doi":"10.1016/j.agwat.2015.10.016","title":"Identification of optimal placements of best management practices through an interval-fuzzy possibilistic programming model","year":2015,"lang":"en","type":"article","venue":"Agricultural Water Management","topic":"Water resources management and optimization","field":"Engineering","cited_by":30,"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 Regina","funders":"","keywords":"Fuzzy logic; Interval (graph theory); Mathematical optimization; Credibility; Computer science; Fuzzy set; Credibility theory; Operations research; Stochastic programming; Watershed; Identification (biology); Fuzzy number; Consistency (knowledge bases); Mathematics","score_opus":0.03297319604300965,"score_gpt":0.26003904027574704,"score_spread":0.2270658442327374,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2194053738","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93430704,0.00008480321,0.03932191,0.000086058724,0.0003172639,0.0016184655,0.000010086644,0.0002493224,0.024005054],"genre_scores_gemma":[0.9762745,0.00006948065,0.020087337,0.000008841194,0.00003575965,0.00011184003,0.0002791674,0.000027087539,0.0031060094],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9981521,0.000040956045,0.0006796628,0.00032757025,0.0004733568,0.0003263965],"domain_scores_gemma":[0.999149,0.0000046480345,0.00029357284,0.00035298264,0.00012628677,0.00007351171],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031751973,0.00025709663,0.00023950316,0.00013884621,0.000049376416,0.00011907303,0.00040538277,0.00004986277,0.000008867329],"category_scores_gemma":[0.000004237752,0.0001710846,0.00007151891,0.00022939121,0.000040962954,0.0012264019,0.00025945276,0.00007070176,0.000033604327],"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":[0.00005634222,0.00031974367,0.00010939006,0.0010059689,0.00043889903,0.000007954552,0.004330122,0.98652846,0.0021390251,0.0017704742,0.00058573834,0.0027078583],"study_design_scores_gemma":[0.004823714,0.00093847024,0.0027175844,0.0006142868,0.002349526,0.000008648256,0.034381337,0.8610665,0.08065294,0.0028390028,0.007752255,0.0018557346],"about_ca_topic_score_codex":0.000021939511,"about_ca_topic_score_gemma":0.0000065606832,"teacher_disagreement_score":0.12546198,"about_ca_system_score_codex":0.00009970632,"about_ca_system_score_gemma":0.0000013787565,"threshold_uncertainty_score":0.6976627},"labels":[],"label_agreement":null},{"id":"W2477863461","doi":"10.1016/j.agwat.2016.07.019","title":"A flexible decision support system for irrigation scheduling in an irrigation district in China","year":2016,"lang":"en","type":"article","venue":"Agricultural Water Management","topic":"Water resources management and optimization","field":"Engineering","cited_by":44,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"Shanxi Scholarship Council of China; National Natural Science Foundation of China","keywords":"Decision support system; Computer science; Irrigation scheduling; Inference engine; Software; Irrigation district; Graphical user interface; User interface; Irrigation; Flexibility (engineering); Scheduling (production processes); Knowledge base; Database; Operations research; Data mining; Engineering; Artificial intelligence; Operating system; Operations management","score_opus":0.008173481459962067,"score_gpt":0.19974556275485417,"score_spread":0.1915720812948921,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2477863461","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9208419,0.000010086801,0.073331304,0.0001450129,0.00027164558,0.001095596,0.0000047962967,0.00029710855,0.0040025534],"genre_scores_gemma":[0.99518675,0.000008292135,0.0036527603,0.000006857633,0.00006333778,0.00022220254,0.00030400348,0.000019261037,0.0005365525],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9988231,0.000021358706,0.00037223703,0.00027184977,0.00017786934,0.00033360496],"domain_scores_gemma":[0.9997382,0.000009995448,0.00003341652,0.0001508205,0.000022830927,0.000044728728],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022288389,0.00018240682,0.00015158772,0.00023158533,0.000050618073,0.00010344446,0.000168031,0.00005577859,0.00001667653],"category_scores_gemma":[0.0000022056663,0.00009545796,0.000043856584,0.00023564686,0.000007335877,0.0006839409,0.0000577717,0.00004181814,0.0000473386],"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":[0.000116995194,0.00011153822,0.0038460775,0.00086279435,0.000066774126,0.000026613936,0.0015393212,0.89282626,0.010600866,0.005800739,0.00042711615,0.083774894],"study_design_scores_gemma":[0.0090171825,0.00034676344,0.6658519,0.0016153306,0.00013707796,0.000006121251,0.001957355,0.24476275,0.064715184,0.0054106913,0.004503094,0.0016765299],"about_ca_topic_score_codex":0.000012633584,"about_ca_topic_score_gemma":0.00005876985,"teacher_disagreement_score":0.66200584,"about_ca_system_score_codex":0.00031990904,"about_ca_system_score_gemma":7.461239e-7,"threshold_uncertainty_score":0.38926628},"labels":[],"label_agreement":null},{"id":"W2587713640","doi":"10.1016/j.agwat.2017.02.005","title":"Spatial distribution of soil moisture and fine roots in rain-fed apple orchards employing a Rainwater Collection and Infiltration (RWCI) system on the Loess Plateau of China","year":2017,"lang":"en","type":"article","venue":"Agricultural Water Management","topic":"Irrigation Practices and Water Management","field":"Agricultural and Biological Sciences","cited_by":69,"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":"Subsoil; Rainwater harvesting; Infiltration (HVAC); Orchard; Environmental science; Water content; Irrigation; Loess; Soil water; Hydrology (agriculture); Soil horizon; Loess plateau; Soil science; Agronomy; Geology; Biology; Ecology; Geography","score_opus":0.01237522818320654,"score_gpt":0.20592965526727589,"score_spread":0.19355442708406934,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2587713640","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99375653,0.000010723259,0.00001822235,0.004305712,0.00009474261,0.0006794529,0.000027366108,0.000016235756,0.0010910283],"genre_scores_gemma":[0.9990565,0.000022347662,0.000009257691,0.000021184089,0.000050053557,0.000057489047,0.00025404993,0.0000010293303,0.0005280735],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9989588,0.00009253267,0.00029740148,0.00024454476,0.00022577983,0.00018090325],"domain_scores_gemma":[0.99956256,0.000029864088,0.00023659773,0.00009236635,0.000049209622,0.000029422103],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004156031,0.00015168988,0.000184331,0.00001715347,0.00042298358,0.00016604585,0.00016502356,0.000054692046,0.000015759022],"category_scores_gemma":[0.000010571467,0.000043911485,0.000039559283,0.00007824311,0.00006057398,0.00024560958,0.00020187852,0.00008328183,0.0000020919776],"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":[0.0038488547,0.0017544444,0.16830398,0.004185203,0.001569321,0.00011185887,0.017730778,0.0032062128,0.54495037,0.07635296,0.011126473,0.16685951],"study_design_scores_gemma":[0.0004216418,0.00020491848,0.9856309,0.000111169255,0.000039523085,0.0000030410429,0.0010497692,0.00032949809,0.01087031,0.0002529131,0.0009593987,0.00012690894],"about_ca_topic_score_codex":0.0035492536,"about_ca_topic_score_gemma":0.0024980057,"teacher_disagreement_score":0.8173269,"about_ca_system_score_codex":0.000042033567,"about_ca_system_score_gemma":8.8142355e-7,"threshold_uncertainty_score":0.53654337},"labels":[],"label_agreement":null},{"id":"W2690518509","doi":"10.1016/j.agwat.2017.06.005","title":"An interval multistage classified model for regional inter- and intra-seasonal water management under uncertain and nonstationary condition","year":2017,"lang":"en","type":"article","venue":"Agricultural Water Management","topic":"Water resources management and optimization","field":"Engineering","cited_by":17,"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":"China Scholarship Council; National Natural Science Foundation of China","keywords":"Interval (graph theory); Environmental science; Climatology; Econometrics; Mathematics; Statistics; Geology","score_opus":0.02235530849272248,"score_gpt":0.23523388139559812,"score_spread":0.21287857290287562,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2690518509","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.76017725,0.00004463553,0.22706118,0.002813761,0.00036576972,0.00214747,0.000054356562,0.00036428572,0.006971278],"genre_scores_gemma":[0.9865958,0.00007084926,0.00672552,0.0001678981,0.00007690345,0.0002313161,0.0012890317,0.000027967753,0.0048147165],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99879324,0.000020147167,0.00024944084,0.00039135723,0.00017708204,0.00036872702],"domain_scores_gemma":[0.9995685,0.0000066376247,0.000041653457,0.0002467379,0.00003947885,0.000096969365],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013312684,0.0002775262,0.0001703904,0.00009904413,0.00040130466,0.0005310783,0.00024701186,0.00006024073,0.000025043544],"category_scores_gemma":[5.877204e-7,0.00016644689,0.00005135416,0.000018181103,0.00008940716,0.00077681156,0.00023764539,0.00007672559,0.000011975731],"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":[0.0005904426,0.0004208104,0.00089559157,0.0036067502,0.002601577,0.00013418958,0.009077193,0.8327324,0.010875685,0.058288544,0.025873723,0.054903112],"study_design_scores_gemma":[0.0021483018,0.00008849597,0.024235226,0.000104378116,0.00020973256,0.000007332757,0.0013765186,0.9600684,0.0012822876,0.005679042,0.00418906,0.0006112084],"about_ca_topic_score_codex":0.0000066929897,"about_ca_topic_score_gemma":0.000026781761,"teacher_disagreement_score":0.22641854,"about_ca_system_score_codex":0.00007518706,"about_ca_system_score_gemma":5.3277194e-7,"threshold_uncertainty_score":0.6787507},"labels":[],"label_agreement":null},{"id":"W2724817701","doi":"10.1016/j.agwat.2017.06.019","title":"Comparison of hourly and daily Penman-Monteith grass- and alfalfa-reference evapotranspiration equations and crop coefficients for maize under arid climatic conditions","year":2017,"lang":"en","type":"article","venue":"Agricultural Water Management","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":29,"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 Toronto","funders":"National Natural Science Foundation of China","keywords":"Evapotranspiration; Penman–Monteith equation; Arid; Crop coefficient; Semi-arid climate; Agronomy; Environmental science; Crop; Mathematics; Hydrology (agriculture); Biology; Ecology","score_opus":0.029524011641523788,"score_gpt":0.27554082662414603,"score_spread":0.24601681498262223,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2724817701","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99169,0.000018418943,0.004970376,0.0005065514,0.00003977154,0.0005803381,0.00009040878,0.00001303857,0.0020911247],"genre_scores_gemma":[0.99827236,0.00003204099,0.00070283876,0.000029359893,0.0000052914475,0.00005323964,0.00029428606,0.0000046654345,0.0006058939],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99919957,0.000018639672,0.00021858656,0.00023655233,0.0001543223,0.0001723203],"domain_scores_gemma":[0.9996456,0.000023666524,0.00010774786,0.00015126768,0.000015559037,0.000056154935],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010469854,0.00012709423,0.00014879965,0.000026102243,0.00053229224,0.00017029786,0.00011738389,0.000039607297,0.000014966312],"category_scores_gemma":[0.0000036345712,0.00007682471,0.000021053294,0.000026684593,0.00017073518,0.00031696405,0.00014676356,0.00004915284,0.000008127823],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019353503,0.0015385399,0.6473596,0.0012009453,0.00087753526,0.000014469158,0.0094943,0.08690007,0.13702269,0.09117616,0.0014193446,0.022802824],"study_design_scores_gemma":[0.00088092237,0.0001307322,0.95873624,0.000046916513,0.00020561446,0.0000039071238,0.00038262273,0.035493866,0.00081315933,0.0028122037,0.00026286088,0.00023097753],"about_ca_topic_score_codex":0.00013127286,"about_ca_topic_score_gemma":0.0005187807,"teacher_disagreement_score":0.31137663,"about_ca_system_score_codex":0.000027721695,"about_ca_system_score_gemma":7.790365e-7,"threshold_uncertainty_score":0.40940157},"labels":[],"label_agreement":null},{"id":"W2752134201","doi":"10.1016/j.agwat.2017.08.011","title":"Modeling the effect of biodegradable paper and plastic mulch on soil moisture dynamics","year":2017,"lang":"en","type":"article","venue":"Agricultural Water Management","topic":"Irrigation Practices and Water Management","field":"Agricultural and Biological Sciences","cited_by":122,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Western Trauma Association Foundation for Education and Research; Türkiye Bilimsel ve Teknolojik Araştırma Kurumu; University of Tennessee; Western University; Northwestern Mutual Foundation; Arthritis Research Initiative; Washington State University; U.S. Department of Agriculture","keywords":"Mulch; Polyethylene; Moisture; Water content; Plastic mulch; Environmental science; Agronomy; Biodegradable plastic; Plastic film; Growing season; Materials science; Geotechnical engineering; Composite material; Geology","score_opus":0.009765484122293512,"score_gpt":0.20282720411440766,"score_spread":0.19306171999211416,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2752134201","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9810682,0.000026699316,0.000008533859,0.010741784,0.00017327897,0.00039827044,0.0000085864995,0.000027110811,0.007547518],"genre_scores_gemma":[0.9968049,0.000039833834,0.000013949503,0.00014483421,0.00008564574,0.00003887483,0.00006696,0.0000011738605,0.0028038605],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9989583,0.00006531072,0.00017283602,0.00028642916,0.0002560191,0.00026113246],"domain_scores_gemma":[0.9996056,0.00007000267,0.000099147604,0.00015056135,0.000030238854,0.00004443601],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028292555,0.00019511237,0.0001664875,0.000009007535,0.00077855797,0.000326192,0.0004222838,0.000046714722,0.00004423222],"category_scores_gemma":[0.000009123561,0.00004092763,0.00007553182,0.000040901556,0.000055905766,0.00030666759,0.00037257624,0.00010395694,0.000033188342],"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":[0.0021511489,0.0009859508,0.024530437,0.0019742474,0.0034031984,0.00020854207,0.0027831844,0.07157117,0.15765251,0.06552225,0.025183754,0.6440336],"study_design_scores_gemma":[0.0032069446,0.0039140624,0.83570904,0.00040989756,0.0012184727,0.000020026004,0.00475337,0.056334447,0.03772128,0.0028831286,0.05184767,0.001981654],"about_ca_topic_score_codex":0.0006499798,"about_ca_topic_score_gemma":0.000780997,"teacher_disagreement_score":0.8111786,"about_ca_system_score_codex":0.00002434711,"about_ca_system_score_gemma":2.617145e-7,"threshold_uncertainty_score":0.59881175},"labels":[],"label_agreement":null},{"id":"W2754020645","doi":"10.1016/j.agwat.2017.09.001","title":"Food and water security: Analysis of integrated modeling platforms","year":2017,"lang":"en","type":"article","venue":"Agricultural Water Management","topic":"Water-Energy-Food Nexus Studies","field":"Environmental Science","cited_by":40,"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 Guelph","funders":"","keywords":"Food security; Water security; Agriculture; Water resources; Food processing; Computer science; Environmental economics; Environmental resource management; Environmental planning; Environmental science; Geography; Ecology; Economics","score_opus":0.012618848916718757,"score_gpt":0.19508258321079358,"score_spread":0.18246373429407484,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2754020645","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9651325,0.000015191999,0.000106147876,0.00046408374,0.00006443872,0.00014926036,0.000016353422,0.000031582927,0.034020472],"genre_scores_gemma":[0.9984397,0.000015218718,0.00015108859,0.000048484053,0.000013743934,0.000026500024,0.00008765549,0.000007108262,0.0012105001],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99866605,0.000011363324,0.0002643371,0.0003837346,0.00028506905,0.000389427],"domain_scores_gemma":[0.99948573,0.000003065731,0.00006094293,0.00036814902,0.000016687032,0.00006543927],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001357224,0.0002198105,0.00030196153,0.00007266786,0.00041251257,0.00009779858,0.00037358273,0.000045900124,0.00018543718],"category_scores_gemma":[0.0000018898019,0.00008912519,0.00011077149,0.00009208896,0.0001256988,0.00043771346,0.0014755198,0.00006200577,0.000043741897],"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":[0.0009943751,0.0025975269,0.105692685,0.0010897237,0.08051005,0.00047040448,0.084677465,0.23207445,0.331893,0.10438848,0.010271431,0.045340415],"study_design_scores_gemma":[0.0030794553,0.0010910914,0.3078243,0.00014105681,0.0080544995,0.000016446935,0.011528834,0.07968357,0.40078965,0.17929891,0.005636095,0.002856075],"about_ca_topic_score_codex":0.0007991106,"about_ca_topic_score_gemma":0.00116436,"teacher_disagreement_score":0.20213163,"about_ca_system_score_codex":0.00007234557,"about_ca_system_score_gemma":2.6412891e-7,"threshold_uncertainty_score":0.363442},"labels":[],"label_agreement":null},{"id":"W2789547868","doi":"10.1016/j.agwat.2018.03.018","title":"Farm level economic analysis of subsurface drip irrigation in Ontario corn production","year":2018,"lang":"en","type":"article","venue":"Agricultural Water Management","topic":"Irrigation Practices and Water Management","field":"Agricultural and Biological Sciences","cited_by":15,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Guelph","funders":"Ontario Ministry of Agriculture, Food and Rural Affairs","keywords":"Net present value; Investment (military); Irrigation; Environmental science; Production (economics); Capital investment; Drip irrigation; Agricultural economics; Economics; Present value; Value (mathematics); Agricultural science; Agricultural engineering; Mathematics; Statistics; Agronomy; Microeconomics; Engineering","score_opus":0.03226795999307772,"score_gpt":0.21811774775803497,"score_spread":0.18584978776495725,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2789547868","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9855523,0.000003599233,0.000007339716,0.0019209927,0.0003366322,0.00043913795,0.000008116044,0.000031661977,0.011700208],"genre_scores_gemma":[0.9884384,0.000005673362,0.0001981713,0.00009229038,0.000076353135,0.0000299422,0.00043685143,8.8870894e-7,0.010721394],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99859095,0.00006084638,0.00042222574,0.00042684947,0.00021102134,0.00028810426],"domain_scores_gemma":[0.9996065,0.000012467884,0.00016345571,0.00009880971,0.000076859826,0.000041917778],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034228116,0.00016967655,0.0002327288,0.00007458529,0.00012432013,0.00007939414,0.00022786266,0.000048636277,0.00086598354],"category_scores_gemma":[0.0000019519991,0.000057239413,0.000116788724,0.00044925653,0.00004784725,0.0003292299,0.00014665823,0.00007661561,0.00015754081],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00072790973,0.0019314267,0.3693388,0.00017195138,0.007632564,0.000039401893,0.016427888,0.017463194,0.4259573,0.026333278,0.007208099,0.12676819],"study_design_scores_gemma":[0.00013631764,0.00010572726,0.96698534,0.000011769389,0.00029414598,6.2884766e-7,0.0007770369,0.00014647534,0.016079359,0.00046380825,0.014804371,0.00019498808],"about_ca_topic_score_codex":0.04013366,"about_ca_topic_score_gemma":0.50448143,"teacher_disagreement_score":0.59764653,"about_ca_system_score_codex":0.0002434511,"about_ca_system_score_gemma":0.0000022189608,"threshold_uncertainty_score":0.96625817},"labels":[],"label_agreement":null},{"id":"W2791785191","doi":"10.1016/j.agwat.2018.02.022","title":"Evaluation of variable rate irrigation using a remote-sensing-based model","year":2018,"lang":"en","type":"article","venue":"Agricultural Water Management","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":66,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Alabama Agricultural Experiment Station; National Institute of Food and Agriculture; Bureau of Reclamation; Water for Food Daugherty Global Institute; Canadian Bee Research Fund; University of Nebraska-Lincoln","keywords":"Irrigation; Center pivot irrigation; Environmental science; Evapotranspiration; Water balance; Hydrology (agriculture); Remote sensing; Soil water; Irrigation management; Soil science; Geology; Agronomy","score_opus":0.02124338103532957,"score_gpt":0.22404310880772224,"score_spread":0.20279972777239266,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2791785191","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9201915,0.0000014993809,0.04964252,0.000078015626,0.0000827928,0.00034071982,0.0000035617807,0.000024464194,0.029634926],"genre_scores_gemma":[0.9754447,4.801918e-7,0.023835184,0.0000553418,0.000017847564,0.000001237661,0.000066128014,0.000004983955,0.0005741523],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989008,0.00008214261,0.00018386521,0.00020000018,0.00045841967,0.00017482117],"domain_scores_gemma":[0.999689,0.0000036860274,0.00006330451,0.00014815254,0.00006621033,0.000029689149],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000732803,0.00010168839,0.00008033602,0.000029499513,0.00010254539,0.000024151648,0.000090730886,0.00003647857,0.00014375761],"category_scores_gemma":[0.0000032973114,0.000059097285,0.00003081512,0.00012462407,0.000044789733,0.00015156061,0.000091597336,0.000033061344,0.00008834737],"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":[0.0000058918386,0.00001448066,0.000028051434,0.0000060524485,0.000021164942,5.074501e-7,0.00013574284,0.92848414,0.06846159,0.00014237157,0.000058151214,0.0026418718],"study_design_scores_gemma":[0.00028195675,0.000019452465,0.0018004095,0.000019995263,0.00017405376,0.0000014323324,0.000017361948,0.9764749,0.010268803,0.010761521,0.00006850032,0.000111605674],"about_ca_topic_score_codex":0.00030598976,"about_ca_topic_score_gemma":0.00014632179,"teacher_disagreement_score":0.058192786,"about_ca_system_score_codex":0.00022713533,"about_ca_system_score_gemma":0.0000037106,"threshold_uncertainty_score":0.24099173},"labels":[],"label_agreement":null},{"id":"W2800090838","doi":"10.1016/j.agwat.2018.04.021","title":"Simulating crop yield, surface runoff, tile drainage and phosphorus loss in a clay loam soil of the Lake Erie region using EPIC","year":2018,"lang":"en","type":"article","venue":"Agricultural Water Management","topic":"Soil and Water Nutrient Dynamics","field":"Environmental Science","cited_by":21,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Agriculture and Agri-Food Canada","funders":"Agriculture and Agri-Food Canada","keywords":"Tile drainage; Surface runoff; Loam; Environmental science; Hydrology (agriculture); Hydraulic conductivity; Drainage; Evapotranspiration; Ditch; Runoff curve number; Soil science; Soil water; Geology; Geotechnical engineering; Ecology","score_opus":0.010544718632890622,"score_gpt":0.19741532070510434,"score_spread":0.18687060207221373,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2800090838","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99251693,0.000012360659,0.00003283159,0.00030818777,0.00016090299,0.0003207256,0.0000040702994,0.000019451318,0.0066245515],"genre_scores_gemma":[0.99813545,0.000011497912,0.00019898188,0.00009850786,0.000029491976,0.0000042310944,0.0000079598185,0.0000082794295,0.00150559],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988414,0.000041342646,0.0002440871,0.00030538367,0.00022781688,0.0003399443],"domain_scores_gemma":[0.9996453,0.0000136544,0.00007567386,0.00021289095,0.0000110857445,0.000041408504],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013614733,0.00016703353,0.00013956436,0.000015809523,0.00017341688,0.000041929332,0.00022835385,0.000051369258,0.00005559195],"category_scores_gemma":[0.0000039544107,0.00008099863,0.000048981958,0.00021239373,0.00022288758,0.0001925923,0.0006960871,0.00008284025,0.00003063743],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000062342246,0.00015925018,0.93972546,0.00009154823,0.00004764365,0.00007197676,0.0050286204,0.04510984,0.0062705344,0.00016060832,0.0006415276,0.002630677],"study_design_scores_gemma":[0.0012372035,0.00015306358,0.94137156,0.0002640686,0.00008918336,0.00004016953,0.0010078836,0.01993661,0.024397995,0.0049034157,0.0059446683,0.0006541856],"about_ca_topic_score_codex":0.00041757603,"about_ca_topic_score_gemma":0.0006213878,"teacher_disagreement_score":0.025173226,"about_ca_system_score_codex":0.0000749552,"about_ca_system_score_gemma":9.0878757e-7,"threshold_uncertainty_score":0.33030283},"labels":[],"label_agreement":null},{"id":"W2908427826","doi":"10.1016/j.agwat.2018.12.024","title":"Development of a steady-state model to predict daily water table depth and root zone soil matric potential of a cranberry field with a subirrigation system","year":2018,"lang":"en","type":"article","venue":"Agricultural Water Management","topic":"Irrigation Practices and Water Management","field":"Agricultural and Biological Sciences","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval; Institut National de la Recherche Scientifique","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Hydraulic conductivity; Water potential; Transpiration; Water content; Environmental science; Soil science; Water retention; Soil water; Water table; Pedotransfer function; Water retention curve; Hydrology (agriculture); Groundwater; Geotechnical engineering; Geology; Chemistry","score_opus":0.009882690128479027,"score_gpt":0.18978493274647912,"score_spread":0.17990224261800009,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2908427826","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99360037,0.000009628454,0.001521251,0.00083124597,0.00007377539,0.00076409813,0.000010090601,0.000055177316,0.0031343505],"genre_scores_gemma":[0.9941994,0.0000035042879,0.002774161,0.00007928238,0.000057118905,0.000080596525,0.00009851549,0.000002567839,0.00270485],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.998224,0.000044264652,0.00050158956,0.00039499605,0.00044056092,0.00039457023],"domain_scores_gemma":[0.9994725,0.000010053209,0.00014182829,0.00009527634,0.00019017606,0.00009014004],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030292987,0.00022920761,0.00025766424,0.000048593243,0.00022289551,0.00009716552,0.00023118498,0.00004894086,0.000053070853],"category_scores_gemma":[0.0000010627782,0.00006576678,0.00004443622,0.00022916691,0.000039698254,0.0003349173,0.00035097165,0.000057494035,0.000041125244],"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":[0.001399966,0.00056196534,0.0018515922,0.0015743813,0.0009347226,0.000040648025,0.011405226,0.006997588,0.9144216,0.0012227751,0.0022395614,0.057349943],"study_design_scores_gemma":[0.0019916478,0.0019220383,0.13413073,0.00052618753,0.00052027556,0.00003261048,0.00808058,0.005887332,0.83666724,0.00037155923,0.008728591,0.0011412005],"about_ca_topic_score_codex":0.00028674214,"about_ca_topic_score_gemma":0.0011058036,"teacher_disagreement_score":0.13227914,"about_ca_system_score_codex":0.000045046312,"about_ca_system_score_gemma":0.0000035273276,"threshold_uncertainty_score":0.26818913},"labels":[],"label_agreement":null},{"id":"W2914745578","doi":"10.1016/j.agwat.2018.12.030","title":"Groundwater irrigation induced soil sodification and response options","year":2019,"lang":"en","type":"article","venue":"Agricultural Water Management","topic":"Rice Cultivation and Yield Improvement","field":"Agricultural and Biological Sciences","cited_by":123,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"United Nations University Institute for Water, Environment, and Health","funders":"","keywords":"Environmental science; Irrigation; Soil water; Groundwater; Water resource management; Leaching (pedology); Agronomy; Soil science; Geology","score_opus":0.017725732560727535,"score_gpt":0.20306852431701672,"score_spread":0.18534279175628918,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2914745578","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.989005,0.000008608919,0.0000031844352,0.006507409,0.00014959501,0.0005680541,0.0000020263915,0.00007496203,0.0036811603],"genre_scores_gemma":[0.9897197,0.000012146544,0.000056502256,0.0004015223,0.00005952912,0.00006430069,0.00018976616,8.128053e-7,0.009495717],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9990378,0.00007168223,0.00019171798,0.0002965494,0.00018002444,0.00022222514],"domain_scores_gemma":[0.9997555,0.000024706607,0.00004559929,0.00006287065,0.000053455664,0.000057842797],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021962161,0.00013397697,0.00009364777,0.000016161845,0.00016897064,0.00014852661,0.00011547232,0.00005256875,0.0004180426],"category_scores_gemma":[0.0000027864464,0.00003844082,0.000042811003,0.00012644277,0.000012744018,0.00028614578,0.00010228185,0.000061547784,0.0004498883],"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":[0.000042406762,0.00005753298,0.00038113995,0.0000094202505,0.000019642677,6.488638e-7,0.00024325629,0.000006002276,0.98652357,0.0017978259,0.0002925706,0.010625995],"study_design_scores_gemma":[0.00032064447,0.00023050653,0.9110819,0.000016088445,0.000018023442,0.0000031057255,0.002037002,0.00003221531,0.07296154,0.00061242736,0.012447188,0.00023936588],"about_ca_topic_score_codex":0.000067297835,"about_ca_topic_score_gemma":0.000035967874,"teacher_disagreement_score":0.913562,"about_ca_system_score_codex":0.000047405585,"about_ca_system_score_gemma":6.903956e-7,"threshold_uncertainty_score":0.57825536},"labels":[],"label_agreement":null},{"id":"W2933165776","doi":"10.1016/j.agwat.2019.03.048","title":"Optimized ridge–furrow with plastic film mulching system to use precipitation efficiently for winter wheat production in dry semi–humid areas","year":2019,"lang":"en","type":"article","venue":"Agricultural Water Management","topic":"Irrigation Practices and Water Management","field":"Agricultural and Biological Sciences","cited_by":75,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"National Key Research and Development Program of China","keywords":"Sowing; Water-use efficiency; Irrigation; Agronomy; Rainwater harvesting; Mulch; Ridge; Environmental science; Precipitation; Plastic film; Seedling; Water use; Growing season; Surface irrigation; Rainfed agriculture; Hydrology (agriculture); Geography; Biology; Geology; Chemistry","score_opus":0.010755873930931503,"score_gpt":0.1979578447729256,"score_spread":0.1872019708419941,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2933165776","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99255985,0.00000502363,0.00017238906,0.002223127,0.00069164665,0.0032653443,0.000015371357,0.00012218188,0.0009450902],"genre_scores_gemma":[0.9901213,0.000003399482,0.0011866215,0.00015762969,0.000111706075,0.0004607091,0.00041335824,0.0000037722275,0.0075414875],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99802524,0.00009381783,0.00037992085,0.00067359733,0.00034996142,0.00047748932],"domain_scores_gemma":[0.99945277,0.00009827604,0.00011946914,0.00011589107,0.00012592976,0.00008764595],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034313687,0.00027937544,0.00024842285,0.000060894377,0.00017808007,0.00037832416,0.00023240787,0.000053399413,0.000056873214],"category_scores_gemma":[0.000013873563,0.00008806905,0.00008324116,0.0003014673,0.000012553892,0.0008115365,0.00016026669,0.00009320477,0.00020934148],"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":[0.004955727,0.0014787569,0.026876999,0.002358558,0.00088006567,0.00007259969,0.009866565,0.7409693,0.17775062,0.0018472924,0.011141959,0.021801544],"study_design_scores_gemma":[0.003783021,0.001978627,0.8977084,0.0017891398,0.00037545283,0.000018834786,0.020295164,0.007790371,0.028394528,0.00005806728,0.03603196,0.0017764197],"about_ca_topic_score_codex":0.00016429705,"about_ca_topic_score_gemma":0.0002064767,"teacher_disagreement_score":0.87083143,"about_ca_system_score_codex":0.00018225341,"about_ca_system_score_gemma":0.0000012398237,"threshold_uncertainty_score":0.36481887},"labels":[],"label_agreement":null},{"id":"W2939526552","doi":"10.1016/j.agwat.2019.04.001","title":"Crop reflectance indices for mapping water stress in greenhouse grown bell pepper","year":2019,"lang":"en","type":"article","venue":"Agricultural Water Management","topic":"Remote Sensing in Agriculture","field":"Environmental Science","cited_by":27,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Greenhouse; Pepper; Water stress; Reflectivity; Environmental science; Crop; Agronomy; Hydrology (agriculture); Horticulture; Geology; Biology; Geotechnical engineering; Optics; Physics","score_opus":0.007193080110253636,"score_gpt":0.19480906617926397,"score_spread":0.18761598606901034,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2939526552","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.970172,0.000015135819,0.000025330135,0.0015542014,0.00033302867,0.0013720719,0.0000042805354,0.000088913075,0.026435059],"genre_scores_gemma":[0.96732265,0.000016666336,0.0017286363,0.00033515622,0.00008831848,0.000031730277,0.00012054966,0.000020413849,0.03033588],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99771804,0.000050323626,0.00034783082,0.00068562606,0.00040071184,0.00079749274],"domain_scores_gemma":[0.9995287,0.000013550757,0.00006177306,0.00030302594,0.000015512738,0.00007741198],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00019950884,0.00032182536,0.00024764508,0.00005685437,0.00014031562,0.00012304155,0.0004468804,0.00010617646,0.0004643952],"category_scores_gemma":[0.0000018433335,0.0001401114,0.000106992586,0.0001985007,0.000052605556,0.00044510912,0.00051022216,0.00016380535,0.0022828577],"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":[0.00007250331,0.00027536368,0.03424706,0.00039656565,0.00014550096,0.000083190134,0.009243357,0.013010246,0.92020744,0.0001340683,0.017998375,0.004186318],"study_design_scores_gemma":[0.0020330648,0.00019399438,0.59019935,0.0002823321,0.00006447743,0.00002643003,0.0022676778,0.00035562724,0.29781842,0.0008374712,0.10453408,0.0013871057],"about_ca_topic_score_codex":0.00017753139,"about_ca_topic_score_gemma":0.0005544044,"teacher_disagreement_score":0.622389,"about_ca_system_score_codex":0.00027644009,"about_ca_system_score_gemma":5.996785e-7,"threshold_uncertainty_score":0.99849397},"labels":[],"label_agreement":null},{"id":"W2953276405","doi":"10.1016/j.agwat.2019.05.030","title":"Simulating impacts of climate change on cotton yield and water requirement using RZWQM2","year":2019,"lang":"en","type":"article","venue":"Agricultural Water Management","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":81,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Recruitment Program of Global Experts; China Scholarship Council; National Natural Science Foundation of China; McGill University","keywords":"Yield (engineering); Climate change; Environmental science; Precipitation; Representative Concentration Pathways; Agronomy; Water use; General Circulation Model; Animal science; Climatology; Biology; Ecology; Geography; Meteorology; Geology","score_opus":0.0170118007594353,"score_gpt":0.2117068926324409,"score_spread":0.1946950918730056,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2953276405","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98593867,0.000005806324,0.000005000814,0.00017066301,0.00010295888,0.00049156026,0.0000055485966,0.000020693951,0.01325912],"genre_scores_gemma":[0.9991516,0.00004254944,0.00016717846,0.0001239986,0.000018780378,0.000008926511,0.000043828164,0.0000075145144,0.00043564558],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.998904,0.000016823227,0.0002154899,0.00025538972,0.00024517463,0.00036312945],"domain_scores_gemma":[0.99973625,0.00000789235,0.00004869285,0.0001488724,0.0000052121873,0.000053082113],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000144086,0.00015682216,0.00014092313,0.00003305606,0.00007791391,0.000037090107,0.0000968464,0.000040372426,0.0002649641],"category_scores_gemma":[5.779932e-7,0.00007304874,0.000041010935,0.000052483934,0.000023961164,0.0002482229,0.00038486967,0.00005778918,0.00021684583],"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":[0.00010287741,0.00023728723,0.14302461,0.000395531,0.00017217649,0.000042205866,0.005536143,0.080180496,0.7614346,0.0010374213,0.0000823032,0.0077543543],"study_design_scores_gemma":[0.0026406734,0.0009998226,0.7273838,0.0009993642,0.0003732405,0.000044048033,0.0013997587,0.08004502,0.18008329,0.0009318834,0.0032279957,0.0018711059],"about_ca_topic_score_codex":0.00018536244,"about_ca_topic_score_gemma":0.000023317984,"teacher_disagreement_score":0.58435917,"about_ca_system_score_codex":0.00008990962,"about_ca_system_score_gemma":1.7183235e-7,"threshold_uncertainty_score":0.2978841},"labels":[],"label_agreement":null},{"id":"W3006757100","doi":"10.1016/j.agwat.2020.106090","title":"Water table depth forecasting in cranberry fields using two decision-tree-modeling approaches","year":2020,"lang":"en","type":"article","venue":"Agricultural Water Management","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":61,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Evapotranspiration; Water table; Decision tree; Coefficient of determination; Environmental science; Statistics; Hydrology (agriculture); Computer science; Groundwater; Mathematics; Data mining; Engineering; Ecology","score_opus":0.04792347477766377,"score_gpt":0.20966186961179298,"score_spread":0.16173839483412922,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3006757100","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9719991,0.000008878222,0.009520409,0.00047552036,0.00007096189,0.00029266585,0.0000016691077,0.000040611234,0.017590193],"genre_scores_gemma":[0.99366695,0.000005200951,0.0055907457,0.00019538702,0.00004290552,0.000018487546,0.000067830806,0.000010342404,0.00040212795],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99856704,0.000026028976,0.0002967272,0.00039351155,0.000259238,0.00045744123],"domain_scores_gemma":[0.9997573,0.0000072708854,0.000023803685,0.00011801498,0.0000045188117,0.00008910003],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013966885,0.00019055608,0.00015597668,0.000031598127,0.00013316642,0.000097584794,0.00023844115,0.00005293511,0.00015238851],"category_scores_gemma":[0.0000019049845,0.00009513023,0.000057550824,0.00016450758,0.000018792543,0.00035809027,0.00056254794,0.00014268569,0.00016669801],"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":[0.0000117218715,0.00002403116,0.0029727782,0.000013168021,0.000016805378,0.000043504835,0.00094780745,0.9894528,0.002215323,0.00003144813,0.000060210972,0.004210449],"study_design_scores_gemma":[0.00040436577,0.000016611422,0.0011685335,0.000025957925,0.000030242692,0.000013606981,0.00024389707,0.9954543,0.0013229306,0.0006436953,0.0004171039,0.0002587144],"about_ca_topic_score_codex":0.0003455291,"about_ca_topic_score_gemma":0.000520596,"teacher_disagreement_score":0.021667881,"about_ca_system_score_codex":0.000109883025,"about_ca_system_score_gemma":7.0482076e-7,"threshold_uncertainty_score":0.38792983},"labels":[],"label_agreement":null},{"id":"W3093966875","doi":"10.1016/j.agwat.2020.106569","title":"Effects of irrigation on oil palm transpiration during ENSO-induced drought in the Brazilian Eastern Amazon","year":2020,"lang":"en","type":"article","venue":"Agricultural Water Management","topic":"Oil Palm Production and Sustainability","field":"Environmental Science","cited_by":28,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Thompson Rivers University","funders":"National Science Foundation","keywords":"Amazon rainforest; Palm oil; El Niño Southern Oscillation; Transpiration; Irrigation; Environmental science; Palm; Agroforestry; Water resource management; Hydrology (agriculture); Agronomy; Climatology; Geology; Biology; Geotechnical engineering; Botany; Ecology; Photosynthesis","score_opus":0.006799054852794699,"score_gpt":0.1888448998321165,"score_spread":0.1820458449793218,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3093966875","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98573256,0.0000022120093,0.000005859752,0.006961894,0.00006199925,0.00035053538,2.960904e-7,0.000023294251,0.0068613365],"genre_scores_gemma":[0.99885213,0.0000029384937,0.000019344745,0.0003842275,0.000040845443,0.000045603698,0.000008867062,0.0000036289146,0.00064238696],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9989171,0.00012436225,0.00019602366,0.00028763947,0.00029714068,0.0001777148],"domain_scores_gemma":[0.99979144,0.000009114982,0.000037261187,0.00012106828,0.0000066336465,0.000034474768],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013433988,0.00011764943,0.00009371713,0.000015270827,0.00007802845,0.00002662017,0.00016493995,0.000028395338,0.00006473196],"category_scores_gemma":[0.000006239711,0.000056831042,0.00004844727,0.00019238023,0.000027121396,0.00017839613,0.00004932074,0.00008838301,0.00013801114],"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":[0.00031542793,0.00090647594,0.030320033,0.0024152352,0.000079136575,0.00011118657,0.062188767,0.010584769,0.80537516,0.0009267943,0.0004970828,0.086279914],"study_design_scores_gemma":[0.0004939867,0.00011114552,0.8371763,0.00001649242,0.000016652291,6.40219e-7,0.0011732279,0.000065543354,0.16018349,0.00012763229,0.00052247685,0.00011241638],"about_ca_topic_score_codex":0.000067757646,"about_ca_topic_score_gemma":0.000045763452,"teacher_disagreement_score":0.8068563,"about_ca_system_score_codex":0.00009024797,"about_ca_system_score_gemma":4.7033362e-7,"threshold_uncertainty_score":0.23175026},"labels":[],"label_agreement":null},{"id":"W3097975509","doi":"10.1016/j.agwat.2020.106611","title":"Recognition of different yield potentials among rain-fed wheat fields before harvest using remote sensing","year":2020,"lang":"en","type":"article","venue":"Agricultural Water Management","topic":"Remote Sensing in Agriculture","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"University of Tabriz","keywords":"Winter wheat; Pixel; Yield (engineering); Mathematics; Evapotranspiration; Vegetation (pathology); Anthesis; Remote sensing; Satellite imagery; Normalized Difference Vegetation Index; Environmental science; Agronomy; Statistics; Leaf area index; Geography; Cultivar; Computer science; Artificial intelligence; Biology; Ecology","score_opus":0.01852515289521843,"score_gpt":0.19550716953984046,"score_spread":0.17698201664462204,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3097975509","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9889588,0.000005013918,0.002364484,0.002147847,0.00024792607,0.0006362175,0.000004410892,0.00009390994,0.0055414024],"genre_scores_gemma":[0.9916903,0.00001009156,0.0064348546,0.0004766482,0.0001658946,3.7997765e-7,0.000100084224,0.000016472557,0.0011052727],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9979824,0.0000884998,0.00045820128,0.000530131,0.0004938098,0.00044695506],"domain_scores_gemma":[0.9994225,0.00001533862,0.0001535448,0.00021460369,0.000029543691,0.00016445303],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010441295,0.00032675528,0.00032701096,0.0000280625,0.00017628298,0.000099807476,0.00022803812,0.00013581436,0.00031529012],"category_scores_gemma":[0.00001560425,0.00017010339,0.0001808721,0.00022634654,0.00010142742,0.00029972466,0.0004817963,0.00019685132,0.0001552216],"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":[0.00009014895,0.00010487645,0.0015110292,0.00031738981,0.00034542673,0.00019619851,0.005709594,0.0054236283,0.86506766,0.000010963629,0.010796365,0.11042674],"study_design_scores_gemma":[0.0014008683,0.0005642896,0.43989432,0.00081652805,0.00076314976,0.000093766444,0.0030066625,0.022873972,0.5255839,0.001831575,0.0014921969,0.0016787162],"about_ca_topic_score_codex":0.0005779873,"about_ca_topic_score_gemma":0.0003209614,"teacher_disagreement_score":0.43838328,"about_ca_system_score_codex":0.00013938684,"about_ca_system_score_gemma":8.0122754e-7,"threshold_uncertainty_score":0.6936615},"labels":[],"label_agreement":null},{"id":"W3106300455","doi":"10.1016/j.agwat.2020.106637","title":"Identifying the dominant effects of climate and land use change on soil water balance in deep loessial vadose zone","year":2020,"lang":"en","type":"article","venue":"Agricultural Water Management","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":37,"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 Guelph","funders":"Northwest A and F University; National Natural Science Foundation of China","keywords":"Vadose zone; Water balance; Environmental science; Climate change; Hydrology (agriculture); Geology; Soil water; Soil science; Geotechnical engineering; Oceanography","score_opus":0.012056655491115198,"score_gpt":0.1967054189866508,"score_spread":0.1846487634955356,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3106300455","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9913621,0.000034439505,0.00003670565,0.0070477277,0.00010890026,0.0006554674,0.0000011038953,0.00001895615,0.00073462917],"genre_scores_gemma":[0.9978512,0.00037759444,0.000038026814,0.0012665085,0.000040801897,0.00011124564,0.000012851466,0.0000062696013,0.0002955243],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99881643,0.00007755716,0.0001761677,0.00033593323,0.00018452636,0.00040935617],"domain_scores_gemma":[0.9997716,0.000024195857,0.000037582107,0.00012044785,0.0000028880854,0.00004331139],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015516608,0.00018415003,0.0001951286,0.000023288761,0.00015775999,0.000041594543,0.00018219721,0.00003418096,0.00004256692],"category_scores_gemma":[0.0000023186615,0.00007110635,0.000039670616,0.00008029855,0.00011009501,0.00027002537,0.0009381175,0.000094869,0.00020573524],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0018957292,0.0012674746,0.5846944,0.0049121673,0.0013853146,0.0025300446,0.15686743,0.00977251,0.19255124,0.0012872415,0.01074946,0.032086972],"study_design_scores_gemma":[0.0017554027,0.00021461102,0.94909567,0.00008376584,0.00013474103,0.0000022043623,0.0005743711,0.000385456,0.043109257,0.000106778905,0.0041989996,0.00033872123],"about_ca_topic_score_codex":0.00012989191,"about_ca_topic_score_gemma":0.00015791434,"teacher_disagreement_score":0.36440128,"about_ca_system_score_codex":0.00002693905,"about_ca_system_score_gemma":7.824277e-8,"threshold_uncertainty_score":0.28996328},"labels":[],"label_agreement":null},{"id":"W3153448710","doi":"10.1016/j.agwat.2021.106850","title":"Modelling the effects of climate change, agricultural inputs, cropping diversity, and environment on soil nitrogen and phosphorus: A case study in Saskatchewan, Canada","year":2021,"lang":"en","type":"article","venue":"Agricultural Water Management","topic":"Soil and Water Nutrient Dynamics","field":"Environmental Science","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Saskatchewan Ministry of Agriculture; University of Saskatchewan; Agriculture and Agri-Food Canada","funders":"Agriculture and Agri-Food Canada","keywords":"Environmental science; Climate change; Cropping; Agriculture; Leaching (pedology); Context (archaeology); Agronomy; Soil water; Geography; Soil science; Ecology","score_opus":0.007877311270781456,"score_gpt":0.16575742683433528,"score_spread":0.15788011556355383,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3153448710","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99853605,0.000106803476,0.000004263797,0.00044467358,0.00007148335,0.0006682768,0.0000044878366,0.000009382555,0.00015456344],"genre_scores_gemma":[0.9992671,0.00027596235,0.000036733905,0.00017787125,0.000015320324,0.00005431086,0.0000123961345,0.0000055568235,0.00015476922],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99867076,0.00007883151,0.00018411607,0.00039460976,0.00032667944,0.0003449893],"domain_scores_gemma":[0.9996944,0.000028269,0.00005050735,0.0001489474,0.0000059820486,0.00007188482],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010776412,0.00021232132,0.00018246243,0.000017046317,0.00042453167,0.00003820686,0.00012696358,0.000029578368,0.0000042828806],"category_scores_gemma":[7.0966985e-7,0.00010232405,0.000030851577,0.00011151054,0.00005313585,0.00013269726,0.0024167872,0.00010311854,0.0000032349503],"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":[0.00006232867,0.00085199496,0.86130744,0.00036977048,0.00029510478,0.00862145,0.073947996,0.043033566,0.00053600734,0.000029306158,0.00031106308,0.010633997],"study_design_scores_gemma":[0.0041364483,0.0005689815,0.7861667,0.0002524919,0.0005462275,0.00051696645,0.19349037,0.004482145,0.0075115045,0.00056871644,0.00049612107,0.0012632655],"about_ca_topic_score_codex":0.2146796,"about_ca_topic_score_gemma":0.12552282,"teacher_disagreement_score":0.11954238,"about_ca_system_score_codex":0.00019903193,"about_ca_system_score_gemma":0.0000012934232,"threshold_uncertainty_score":0.8904341},"labels":[],"label_agreement":null},{"id":"W3167354125","doi":"10.1016/j.agwat.2021.106961","title":"Addressing potential drought resiliency through high-resolution terrain and depression mapping","year":2021,"lang":"en","type":"article","venue":"Agricultural Water Management","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 New Brunswick","funders":"","keywords":"Terrain; Environmental science; Hydrology (agriculture); Vegetation (pathology); Depression (economics); Water content; High resolution; Digital elevation model; Remote sensing; Physical geography; Cartography; Geography; Geology","score_opus":0.013881889203885894,"score_gpt":0.21573051271982702,"score_spread":0.20184862351594113,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3167354125","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93320304,0.00023897672,0.0021513354,0.0035952139,0.00042327485,0.00034536608,0.0000020706555,0.00010919897,0.059931535],"genre_scores_gemma":[0.9895649,0.00015587064,0.0027808133,0.00045813658,0.000082958235,0.00004016007,0.000079215206,0.000007712037,0.0068302136],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9983939,0.00009788838,0.00022145119,0.0005643935,0.0002651768,0.00045718107],"domain_scores_gemma":[0.9996955,0.000006791542,0.000046559642,0.00019291793,0.00001010674,0.000048149017],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013567926,0.00020749039,0.00016250597,0.000024039246,0.00058047374,0.00008113013,0.00014892872,0.00006404398,0.00036450382],"category_scores_gemma":[0.0000042839956,0.00012031315,0.000050219827,0.0001407428,0.00012457365,0.00038472237,0.001382266,0.00010457874,0.00021987689],"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":[0.00039708108,0.0019059547,0.12932844,0.0012705209,0.0027495078,0.006146083,0.039108112,0.050839677,0.4125246,0.012376597,0.17482874,0.16852467],"study_design_scores_gemma":[0.0016269237,0.000059466154,0.86472625,0.00015881343,0.00026734077,0.000069273105,0.004792259,0.00047005614,0.0391896,0.014309323,0.07341414,0.0009165837],"about_ca_topic_score_codex":0.000147238,"about_ca_topic_score_gemma":0.000057585792,"teacher_disagreement_score":0.73539776,"about_ca_system_score_codex":0.00007222998,"about_ca_system_score_gemma":6.5114983e-7,"threshold_uncertainty_score":0.49062276},"labels":[],"label_agreement":null},{"id":"W3175621980","doi":"10.1016/j.agwat.2021.107030","title":"Phosphorus runoff from Canadian agricultural land: A cross-region synthesis of edge-of-field results","year":2021,"lang":"en","type":"article","venue":"Agricultural Water Management","topic":"Soil and Water Nutrient Dynamics","field":"Environmental Science","cited_by":39,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Agriculture and Agri-Food Canada; University of Waterloo; Environment and Climate Change Canada; University of Manitoba; Global Institute for Water Security; University of Saskatchewan","funders":"Agriculture and Agri-Food Canada; Canada First Research Excellence Fund; Natural Sciences and Engineering Research Council of Canada; Grain Farmers of Ontario; Ontario Ministry of Agriculture, Food and Rural Affairs; Environment and Climate Change Canada","keywords":"Surface runoff; Phosphorus; Environmental science; Agriculture; Agricultural land; Field (mathematics); Enhanced Data Rates for GSM Evolution; Hydrology (agriculture); Land use; Geography; Mathematics; Geology; Ecology; Engineering; Chemistry; Biology; Geotechnical engineering","score_opus":0.005589903180236234,"score_gpt":0.18430299358322405,"score_spread":0.17871309040298783,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3175621980","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96954113,0.000044553537,0.000006227669,0.0012628182,0.00031342148,0.00019744958,0.000067246314,0.000026062353,0.028541116],"genre_scores_gemma":[0.995993,0.000079044985,0.00034312598,0.00011966391,0.00004999712,0.000024358826,0.0002828963,0.000007744566,0.0031001589],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9983184,0.00004556951,0.00042770425,0.00043876574,0.00033711432,0.00043247003],"domain_scores_gemma":[0.99933267,0.000044506975,0.00010228347,0.0003143238,0.0000423406,0.00016387612],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008579625,0.00022078033,0.0002574004,0.000032655367,0.00011639086,0.000056863908,0.00034640933,0.00009720522,0.00011256591],"category_scores_gemma":[0.00001746185,0.00011684867,0.00014792588,0.00024833228,0.00007260057,0.00020292628,0.00034975688,0.0000896848,0.00018214733],"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":[0.00028227168,0.00048299407,0.92872447,0.00013525027,0.00059608737,0.0005467335,0.003684052,0.003263904,0.0076452186,0.00031171666,0.031736225,0.022591105],"study_design_scores_gemma":[0.000547217,0.000048233906,0.83173734,0.00007450962,0.00009819522,0.000010351911,0.00057638646,0.000035051504,0.15803614,0.00062085304,0.007907307,0.00030842036],"about_ca_topic_score_codex":0.081043184,"about_ca_topic_score_gemma":0.009286941,"teacher_disagreement_score":0.15039094,"about_ca_system_score_codex":0.00016855905,"about_ca_system_score_gemma":0.000004792853,"threshold_uncertainty_score":0.92507625},"labels":[],"label_agreement":null},{"id":"W3202025059","doi":"10.1016/j.agwat.2021.107207","title":"Growing deep roots has opposing impacts on the transpiration of apple trees planted in subhumid loess region","year":2021,"lang":"en","type":"article","venue":"Agricultural Water Management","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":46,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"Higher Education Discipline Innovation Project; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Irrigation; Transpiration; Orchard; Environmental science; Soil water; Agronomy; Growing season; Soil horizon; Loess; Hydrology (agriculture); Soil science; Geology; Biology; Botany; Photosynthesis","score_opus":0.013178356398898259,"score_gpt":0.18081284319085203,"score_spread":0.16763448679195378,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3202025059","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9933543,0.000014368412,0.00027531656,0.0015585365,0.00005081419,0.00022907981,0.000004356236,0.000015918615,0.0044972925],"genre_scores_gemma":[0.9991814,0.000024835163,0.00006460069,0.00012387086,0.000010114902,0.000016519663,0.00020035704,0.0000044871135,0.0003737961],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.999134,0.000060680766,0.00020213712,0.00019911725,0.0002002585,0.00020380397],"domain_scores_gemma":[0.9997816,0.0000150244805,0.000039699884,0.0001303322,0.0000056492236,0.000027690636],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010493286,0.00011547477,0.00010114834,0.000026890213,0.00010466388,0.000059137066,0.00012724809,0.00003553344,0.000054645927],"category_scores_gemma":[0.0000015012396,0.000054920183,0.00004930294,0.00018090506,0.00003259059,0.00022720071,0.000073009745,0.00007582309,0.000022884415],"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":[0.00012161131,0.0005646995,0.028404653,0.00013863464,0.0001877227,0.00055019284,0.009658022,0.4568268,0.4887039,0.0044592572,0.0010158356,0.009368651],"study_design_scores_gemma":[0.0014419171,0.00015241528,0.72361434,0.00038927418,0.00013996234,0.00007815007,0.0032591228,0.02064408,0.2450416,0.0013270965,0.0032050023,0.00070704706],"about_ca_topic_score_codex":0.00014652441,"about_ca_topic_score_gemma":0.0010445692,"teacher_disagreement_score":0.6952097,"about_ca_system_score_codex":0.00009794493,"about_ca_system_score_gemma":9.4887923e-7,"threshold_uncertainty_score":0.223958},"labels":[],"label_agreement":null},{"id":"W4210454175","doi":"10.1016/j.agwat.2022.107498","title":"Evaluation of water use efficiency and optimal irrigation quantity of spring maize in Hetao Irrigation District using the Noah-MP Land Surface Model","year":2022,"lang":"en","type":"article","venue":"Agricultural Water Management","topic":"Irrigation Practices and Water Management","field":"Agricultural and Biological Sciences","cited_by":41,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Global Institute for Water Security; University of Saskatchewan","funders":"","keywords":"Irrigation; Water-use efficiency; Deficit irrigation; Environmental science; Surface irrigation; Irrigation district; Agronomy; Agriculture; Irrigation management; Hydrology (agriculture); Geography","score_opus":0.05613315945458669,"score_gpt":0.25165800374474584,"score_spread":0.19552484429015915,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4210454175","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9978888,0.000032262706,0.00009699611,0.0008138356,0.000079264806,0.0007939148,0.00001508321,0.000014062844,0.00026579105],"genre_scores_gemma":[0.9994014,0.000011096788,0.0002601517,0.000029488332,0.000015525678,0.000032432414,0.000117259966,0.0000014027373,0.00013123435],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9978939,0.000324461,0.00041418365,0.00029440544,0.000824624,0.00024842017],"domain_scores_gemma":[0.9995331,0.0000363083,0.0001725933,0.00008800767,0.0001430477,0.00002694816],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018712915,0.00014686164,0.00016104584,0.000027723037,0.00031588745,0.00009221751,0.0002079051,0.00002839721,0.00008483857],"category_scores_gemma":[0.0000071316504,0.000044717624,0.000060149643,0.00024283453,0.000043684126,0.000497569,0.00043576222,0.00010391705,0.0000020752007],"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":[0.000042722684,0.00017331797,0.007999649,0.000041355514,0.00005857296,0.0000016740469,0.00096593756,0.83519953,0.15231004,0.001227289,0.000017084156,0.0019628278],"study_design_scores_gemma":[0.00091697084,0.00019399234,0.5157604,0.000039061873,0.00041286353,0.0000047955527,0.0028435686,0.43638298,0.040907785,0.0017678702,0.00038042048,0.00038926344],"about_ca_topic_score_codex":0.0021072465,"about_ca_topic_score_gemma":0.00029506505,"teacher_disagreement_score":0.50776076,"about_ca_system_score_codex":0.00011404021,"about_ca_system_score_gemma":0.000002619725,"threshold_uncertainty_score":0.31855404},"labels":[],"label_agreement":null},{"id":"W4214879122","doi":"10.1016/j.agwat.2022.107549","title":"Planning water-food-ecology nexus system under uncertainty: Tradeoffs and synergies in Central Asia","year":2022,"lang":"en","type":"article","venue":"Agricultural Water Management","topic":"Water resources management and optimization","field":"Engineering","cited_by":9,"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 Regina","funders":"Chinese Academy of Sciences","keywords":"Nexus (standard); Agriculture; Food security; Business; Environmental resource management; Environmental economics; Water resources; Environmental science; Ecology; Natural resource economics; Computer science; Economics","score_opus":0.006949203468018095,"score_gpt":0.16385145102369172,"score_spread":0.15690224755567364,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4214879122","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9899868,0.00012353384,0.0002451572,0.0004797528,0.00050078426,0.0005633893,0.0000045956253,0.00037225487,0.0077237636],"genre_scores_gemma":[0.9983508,0.0000109231505,0.000076380464,0.000044642864,0.00005225742,0.00017461515,0.00026621646,0.0000216223,0.0010025653],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99856377,0.00006484032,0.000275243,0.0002819276,0.0001995959,0.00061463536],"domain_scores_gemma":[0.9997933,0.0000066641464,0.00001920638,0.00011943273,0.000006897657,0.000054517306],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000119482946,0.00023360057,0.00020481927,0.00017126676,0.00019356518,0.000115497816,0.00020003287,0.000038059447,0.00004963212],"category_scores_gemma":[2.418471e-7,0.0001384224,0.000042247277,0.00013491556,0.00001824168,0.00016985249,0.0003561098,0.00015435641,0.00001306374],"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":[0.000012202566,0.00001807625,0.00040556808,0.0002129184,0.0001338706,0.00007030808,0.0022590866,0.9937466,0.00030230093,0.002098171,0.00054999616,0.00019092453],"study_design_scores_gemma":[0.007964349,0.0009845091,0.30922246,0.00031717785,0.0006765026,0.00019574193,0.17967719,0.39828512,0.0078878235,0.002040641,0.088861555,0.0038869388],"about_ca_topic_score_codex":0.000024283563,"about_ca_topic_score_gemma":0.000025585363,"teacher_disagreement_score":0.5954615,"about_ca_system_score_codex":0.00031312983,"about_ca_system_score_gemma":5.7185935e-7,"threshold_uncertainty_score":0.5644702},"labels":[],"label_agreement":null},{"id":"W4285384587","doi":"10.1016/j.agwat.2022.107822","title":"A methodological framework for modeling sustainability visions: A case study of groundwater management in Faizpur distributary, Pakistan","year":2022,"lang":"en","type":"article","venue":"Agricultural Water Management","topic":"Water resources management and optimization","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Causal loop diagram; Integrated water resources management; Sustainability; Water resource management; Environmental planning; Environmental resource management; Groundwater; Sustainable management; Environmental economics; Business; Water resources; Environmental science; Computer science; System dynamics; Engineering; Economics","score_opus":0.04742684668365319,"score_gpt":0.30286535901091244,"score_spread":0.2554385123272592,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4285384587","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8719091,0.000044860473,0.12373363,0.00015287315,0.00015686131,0.003562342,0.000008096653,0.00015608291,0.00027614398],"genre_scores_gemma":[0.98818076,0.0000113510505,0.009522514,0.000018817133,0.000022214543,0.0018065034,0.00015313648,0.000023121647,0.000261589],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9979045,0.00018326007,0.00062097405,0.0004549652,0.00033445205,0.00050189515],"domain_scores_gemma":[0.99947774,0.000042640688,0.000045558627,0.00032862302,0.000055122953,0.000050333885],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00074876094,0.00028111332,0.00033887752,0.00021048498,0.00024351638,0.00008378989,0.00033699762,0.0000416801,0.000052734995],"category_scores_gemma":[0.00000477524,0.0001798064,0.000116106574,0.00039966815,0.000014539808,0.0001703698,0.0007944357,0.00018970779,0.000001434198],"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":[0.0000850696,0.0006278505,0.0003571711,0.0005326408,0.0002759074,0.00082523125,0.0045434316,0.98856395,0.0000068695363,0.0016536036,0.00011361384,0.002414656],"study_design_scores_gemma":[0.005273184,0.0015511493,0.0036074007,0.00007635672,0.0007293932,0.000101173966,0.42922097,0.51794744,0.00013619672,0.03550802,0.004355328,0.0014934142],"about_ca_topic_score_codex":0.00016088889,"about_ca_topic_score_gemma":0.000047183847,"teacher_disagreement_score":0.47061655,"about_ca_system_score_codex":0.00043298947,"about_ca_system_score_gemma":7.699912e-7,"threshold_uncertainty_score":0.7332292},"labels":[],"label_agreement":null},{"id":"W4292852494","doi":"10.1016/j.agwat.2022.107888","title":"Regional differences in the performance of drought mitigation measures in 12 major wheat-growing regions of the world","year":2022,"lang":"en","type":"article","venue":"Agricultural Water Management","topic":"Climate change impacts on agriculture","field":"Agricultural and Biological Sciences","cited_by":14,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"","keywords":"Environmental science; Irrigation; Agriculture; Climate change; Water resource management; Agronomy; Geography; Ecology","score_opus":0.03437515799735521,"score_gpt":0.21290630377172032,"score_spread":0.1785311457743651,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4292852494","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98185664,0.00008788812,4.9344134e-8,0.016143838,0.00009525173,0.00059399894,0.000016724822,0.000011670396,0.0011939432],"genre_scores_gemma":[0.9981715,0.000041951032,0.000009820155,0.00037403748,0.00005398534,0.00014338331,0.000086037326,8.0218774e-7,0.0011185027],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99825114,0.00022334844,0.00037436714,0.00022924376,0.0006218954,0.00029998462],"domain_scores_gemma":[0.9996262,0.00007536926,0.00014338778,0.00009627293,0.00003507196,0.000023655366],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041336482,0.00016071099,0.0001997668,0.000037179303,0.00026761182,0.00003215257,0.0006604197,0.000029015762,0.00010118933],"category_scores_gemma":[0.000004810195,0.00003550967,0.00011918686,0.0008688628,0.00006920532,0.0002038766,0.0003068894,0.00020681019,0.000001844015],"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":[0.00021713566,0.0014062721,0.19950564,0.0003078212,0.00014682865,0.00003176304,0.014828968,0.00086538144,0.7472124,0.009372135,0.016006272,0.010099396],"study_design_scores_gemma":[0.0002063962,0.00009391545,0.9771412,0.00009585957,0.000021618358,0.000010946307,0.01245725,0.000013098587,0.006644244,0.00031711254,0.0028610632,0.00013730438],"about_ca_topic_score_codex":0.0003093875,"about_ca_topic_score_gemma":0.0063927905,"teacher_disagreement_score":0.7776356,"about_ca_system_score_codex":0.00008367396,"about_ca_system_score_gemma":0.0000015969562,"threshold_uncertainty_score":0.35673273},"labels":[],"label_agreement":null},{"id":"W4319301106","doi":"10.1016/j.agwat.2023.108207","title":"Influence of seasonal climate and water table management on corn yield and nitrous oxide emissions","year":2023,"lang":"en","type":"article","venue":"Agricultural Water Management","topic":"Soil and Water Nutrient Dynamics","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McGill University","funders":"","keywords":"Nitrous oxide; Environmental science; Irrigation; Drainage; Yield (engineering); Tile drainage; Fertilizer; Growing season; Agronomy; Crop yield; Water table; Dry season; Hydrology (agriculture); Soil water; Groundwater; Soil science; Ecology; Biology","score_opus":0.0060146632478432546,"score_gpt":0.18457639086149347,"score_spread":0.17856172761365022,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4319301106","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9827808,0.000004118543,0.000001772642,0.00038033022,0.000037838603,0.00019427198,0.0000073628826,0.00005177137,0.016541727],"genre_scores_gemma":[0.9917188,0.00017496196,0.00009117287,0.00013275794,0.000007953486,0.000021837313,0.00004828692,0.000006029371,0.0077981427],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991153,0.000009653056,0.00012820345,0.00024396299,0.00019547799,0.00030738584],"domain_scores_gemma":[0.99979186,0.000007745311,0.00001796102,0.000111637266,0.0000044514845,0.00006632975],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008925397,0.00012212426,0.00009334513,0.000031421318,0.00010749651,0.00002901146,0.00010471424,0.00002646602,0.000045876473],"category_scores_gemma":[7.8638385e-7,0.000057987756,0.000020365685,0.00009968545,0.000056525834,0.00009867052,0.00060693244,0.000047467955,0.00059466716],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028663233,0.00060807914,0.784761,0.0013707214,0.0006316425,0.0006877246,0.0034813874,0.036994856,0.04695315,0.0073469374,0.0867777,0.030100176],"study_design_scores_gemma":[0.00042643855,0.00008220719,0.9735244,0.00010275241,0.000075155804,0.000009606265,0.00035312428,0.0003643193,0.007509898,0.0029039392,0.014322975,0.00032518504],"about_ca_topic_score_codex":0.0000381948,"about_ca_topic_score_gemma":0.0000021395476,"teacher_disagreement_score":0.18876341,"about_ca_system_score_codex":0.00002507493,"about_ca_system_score_gemma":1.5831493e-7,"threshold_uncertainty_score":0.76434416},"labels":[],"label_agreement":null},{"id":"W4366300701","doi":"10.1016/j.agwat.2023.108318","title":"Effects of ridge-furrow with plastic film mulching combining with various urea types on water productivity and yield of potato in a dryland farming system","year":2023,"lang":"en","type":"article","venue":"Agricultural Water Management","topic":"Irrigation Practices and Water Management","field":"Agricultural and Biological Sciences","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa; Agriculture and Agri-Food Canada","funders":"","keywords":"Mulch; Agronomy; Urea; Nitrogen; Plastic film; Water-use efficiency; Yield (engineering); Productivity; Soil water; Environmental science; Chemistry; Materials science; Biology; Soil science; Irrigation","score_opus":0.007224000916569898,"score_gpt":0.1758924849297805,"score_spread":0.1686684840132106,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4366300701","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9978732,0.000009648821,0.000005247123,0.00051577797,0.00007202327,0.0006473803,0.0000045358593,0.00005737036,0.0008148214],"genre_scores_gemma":[0.999374,0.0000068725553,0.000036077523,0.000018500668,0.000026814427,0.000059556252,0.00006321783,0.000002121003,0.0004128412],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9987573,0.00007855089,0.00023045235,0.00034198767,0.0002817828,0.0003099197],"domain_scores_gemma":[0.9996007,0.00015674897,0.00010012379,0.00006078605,0.00004086732,0.000040755498],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003005432,0.00019134136,0.00025237276,0.00005348523,0.000110922694,0.00006139491,0.00012578056,0.00003370216,0.000005461743],"category_scores_gemma":[0.0000071024465,0.000048676906,0.000027815653,0.00026349892,0.00003574137,0.0002014931,0.00016463162,0.000093032795,0.000011426921],"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":[0.0022286708,0.001352659,0.040362135,0.009777524,0.0015146018,0.00104412,0.020002825,0.02154495,0.8740928,0.005319867,0.00048915035,0.022270693],"study_design_scores_gemma":[0.0013491738,0.0017665493,0.6842788,0.0014877898,0.0002708309,0.000020694186,0.004919885,0.00044489565,0.30422708,0.000077711964,0.00060992525,0.0005466768],"about_ca_topic_score_codex":0.00047882675,"about_ca_topic_score_gemma":0.0002968093,"teacher_disagreement_score":0.6439166,"about_ca_system_score_codex":0.00002363885,"about_ca_system_score_gemma":7.78833e-7,"threshold_uncertainty_score":0.19849867},"labels":[],"label_agreement":null},{"id":"W4367856183","doi":"10.1016/j.agwat.2023.108341","title":"Simulation of alfalfa yield with AquaCrop","year":2023,"lang":"en","type":"article","venue":"Agricultural Water Management","topic":"Crop Yield and Soil Fertility","field":"Agricultural and Biological Sciences","cited_by":20,"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":"Türkiye Bilimsel ve Teknolojik Araştırma Kurumu","keywords":"Yield (engineering); Agronomy; Environmental science; Mathematics; Materials science; Biology; Metallurgy","score_opus":0.02323319880356314,"score_gpt":0.20961928149016273,"score_spread":0.1863860826865996,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4367856183","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9931402,0.0000070376677,0.0000042455085,0.0012135255,0.000059971248,0.00023488219,0.0000072884154,0.00012104537,0.005211763],"genre_scores_gemma":[0.9965512,0.000007572359,0.000015090217,0.000056983998,0.00006592792,0.000014696408,0.00014214288,5.5884595e-7,0.0031457932],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9991155,0.000019460966,0.0001731652,0.00021906532,0.00022233331,0.00025044644],"domain_scores_gemma":[0.9997433,0.00006822192,0.000035019777,0.000057614692,0.000052225543,0.00004366426],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010848642,0.00011570551,0.0001263895,0.000011153467,0.00010775093,0.000033620232,0.00015456634,0.000038393136,0.000235515],"category_scores_gemma":[0.0000046895484,0.000026130212,0.00006457118,0.0003205101,0.000027461656,0.00010045449,0.00010980661,0.00004557915,0.00014848853],"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":[0.00046334282,0.0005349823,0.0238083,0.00030809542,0.0004385155,0.0001200667,0.0021936244,0.04797305,0.7034627,0.0017257758,0.0078455815,0.21112595],"study_design_scores_gemma":[0.00013475772,0.00019199547,0.9691023,0.000032811327,0.00002955328,9.042527e-7,0.0011639462,0.00044738522,0.018861748,0.00032401318,0.009504593,0.0002059541],"about_ca_topic_score_codex":0.00011636782,"about_ca_topic_score_gemma":0.00023773906,"teacher_disagreement_score":0.945294,"about_ca_system_score_codex":0.000010949215,"about_ca_system_score_gemma":3.7782652e-7,"threshold_uncertainty_score":0.2578724},"labels":[],"label_agreement":null},{"id":"W4376956455","doi":"10.1016/j.agwat.2023.108362","title":"Performance of simple low-cost edge-of-field filters for mitigating P losses in surface runoff from agricultural fields","year":2023,"lang":"en","type":"article","venue":"Agricultural Water Management","topic":"Soil and Water Nutrient Dynamics","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":"Ministry of Agriculture, Food and Rural Affairs; University of Waterloo","funders":"","keywords":"Surface runoff; Environmental science; Phosphorus; Filter (signal processing); Hydrology (agriculture); Nutrient; Suspended solids; Environmental engineering; Animal science; Chemistry; Ecology; Geology; Engineering; Wastewater; Biology; Geotechnical engineering","score_opus":0.008775538101584268,"score_gpt":0.20456278245165052,"score_spread":0.19578724435006625,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4376956455","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9974459,0.0000046198757,0.000018774665,0.0004111536,0.00019422206,0.0005560481,0.000030258596,0.00003998544,0.0012990594],"genre_scores_gemma":[0.99822444,0.000034928355,0.00047933275,0.00005907351,0.00003142422,0.000051956777,0.00036304578,0.000007170129,0.0007486351],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986655,0.000020688583,0.00037471362,0.00030059685,0.00024410438,0.00039435527],"domain_scores_gemma":[0.99961543,0.000071735274,0.000086778855,0.00016271323,0.000016172386,0.000047176167],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000120221855,0.00017979222,0.00020972527,0.00003111292,0.0000733355,0.000022359913,0.0003107363,0.00006543064,0.000058032758],"category_scores_gemma":[0.0000067269375,0.000098643555,0.00009701182,0.00030070363,0.000047256322,0.00024483362,0.00035002446,0.000075332384,0.00007735172],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000096085874,0.00016502065,0.86884004,0.0004079643,0.00009624271,0.000011194588,0.0033393493,0.08305989,0.024546744,0.000035712677,0.013160525,0.006241259],"study_design_scores_gemma":[0.0007752219,0.0001313537,0.845433,0.00012521262,0.00003638879,7.114452e-7,0.0018118212,0.0051670414,0.14516227,0.000578058,0.00045921467,0.0003197344],"about_ca_topic_score_codex":0.00053855,"about_ca_topic_score_gemma":0.000072268056,"teacher_disagreement_score":0.12061552,"about_ca_system_score_codex":0.00005866667,"about_ca_system_score_gemma":9.053931e-7,"threshold_uncertainty_score":0.40225676},"labels":[],"label_agreement":null},{"id":"W4382584154","doi":"10.1016/j.agwat.2023.108413","title":"Rock water use by apple trees affected by physical properties of the underlying weathered rock","year":2023,"lang":"en","type":"article","venue":"Agricultural Water Management","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Weathering; Soil water; Rock fragment; Transpiration; Geology; Soil horizon; Soil science; Water content; Environmental science; Geochemistry; Geotechnical engineering; Chemistry","score_opus":0.012681907037840391,"score_gpt":0.18056852274453242,"score_spread":0.16788661570669203,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4382584154","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9981234,0.0000056840604,0.00003425675,0.00054462854,0.000059374695,0.00043847243,0.000028173363,0.00008323523,0.0006827781],"genre_scores_gemma":[0.96585625,0.000010430641,0.000007802641,0.000036512138,0.000008476653,0.000058917798,0.0002563543,0.000009907433,0.033755355],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9988907,0.000050243234,0.00015652702,0.00025095884,0.00031198203,0.0003396191],"domain_scores_gemma":[0.99973387,0.0000049553564,0.000031045638,0.00018719096,0.000005477393,0.000037443995],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000052553543,0.00016989623,0.00013013296,0.000015385836,0.00016990965,0.000070607864,0.0002799844,0.000036621776,0.00005841862],"category_scores_gemma":[8.3496064e-7,0.000060766975,0.000085498265,0.00016856141,0.000027394715,0.00022786882,0.0004883336,0.00007457001,0.00050102436],"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":[0.0000063648795,0.0000969522,0.0006213094,0.00001884561,0.00006728725,0.0000018637716,0.0012251223,0.021594476,0.9572085,0.000016535565,0.018948477,0.00019427181],"study_design_scores_gemma":[0.00095186214,0.00010555719,0.0585225,0.00008816115,0.00021106272,0.0000074647182,0.0012463814,0.04039066,0.867034,0.00033536716,0.030290445,0.00081651064],"about_ca_topic_score_codex":0.00018692677,"about_ca_topic_score_gemma":0.000044540215,"teacher_disagreement_score":0.09017447,"about_ca_system_score_codex":0.000067253204,"about_ca_system_score_gemma":3.4266685e-7,"threshold_uncertainty_score":0.6439821},"labels":[],"label_agreement":null},{"id":"W4388264539","doi":"10.1016/j.agwat.2023.108572","title":"Responses of winter wheat yield and water productivity to sowing time and plastic mulching in the Loess Plateau","year":2023,"lang":"en","type":"article","venue":"Agricultural Water Management","topic":"Irrigation Practices and Water Management","field":"Agricultural and Biological Sciences","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"Northwest A and F University; Yangzhou University","keywords":"Sowing; Agronomy; Tiller (botany); Mulch; Growing season; Transpiration; Leaf area index; Field experiment; Evapotranspiration; Environmental science; Biology; Photosynthesis","score_opus":0.021245972457748813,"score_gpt":0.22030494355735805,"score_spread":0.19905897109960924,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388264539","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9838257,0.000008356957,9.881862e-7,0.014679919,0.00008522924,0.000525813,0.000005217105,0.00004294494,0.00082583574],"genre_scores_gemma":[0.99598855,0.0000134294405,0.000016552578,0.00023763417,0.00006427771,0.00004230511,0.00004297111,0.0000011346172,0.0035931715],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99879664,0.00010076773,0.0002200691,0.0003370219,0.00022031936,0.00032519514],"domain_scores_gemma":[0.9996853,0.0001556294,0.000030006917,0.00006627012,0.000021698812,0.00004111281],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006977107,0.00015166771,0.00014958339,0.000045187557,0.00017041327,0.00016482518,0.0001828316,0.000030396297,0.00004462882],"category_scores_gemma":[0.000016412827,0.00003600536,0.00003165525,0.00021138528,0.00003069954,0.00031416907,0.0004490069,0.00008316496,0.00009155116],"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":[0.0002902966,0.00013402944,0.0041568456,0.00020217214,0.00013974747,0.0000987686,0.012968743,0.00063221954,0.94956565,0.00035250676,0.0038150235,0.02764398],"study_design_scores_gemma":[0.00025567217,0.00028485645,0.941898,0.00013100303,0.00006363113,0.000013074743,0.0048866756,0.00011269654,0.03549971,0.00047287118,0.01603683,0.0003450076],"about_ca_topic_score_codex":0.00018420919,"about_ca_topic_score_gemma":0.00016655051,"teacher_disagreement_score":0.9377411,"about_ca_system_score_codex":0.000015965183,"about_ca_system_score_gemma":3.32983e-7,"threshold_uncertainty_score":0.1589413},"labels":[],"label_agreement":null},{"id":"W4390848680","doi":"10.1016/j.agwat.2024.108683","title":"Multivariate time series convolutional neural networks for long-term agricultural drought prediction under global warming","year":2024,"lang":"en","type":"article","venue":"Agricultural Water Management","topic":"Hydrology and Drought Analysis","field":"Environmental Science","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"Chinese Academy of Sciences; National Natural Science Foundation of China; Innovative Research Group Project of the National Natural Science Foundation of China","keywords":"Evapotranspiration; Environmental science; Multivariate statistics; Climatology; Convolutional neural network; Context (archaeology); Global warming; Wind speed; Climate change; Lead time; Computer science; Meteorology; Artificial intelligence; Machine learning; Geography; Ecology","score_opus":0.006258030224519724,"score_gpt":0.20968017811291512,"score_spread":0.20342214788839538,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390848680","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9704535,0.00024486464,0.013349706,0.0049421727,0.0013921486,0.001168537,0.00007435207,0.00053759315,0.007837143],"genre_scores_gemma":[0.9801338,0.000015161635,0.00041969924,0.0001871918,0.00036948765,0.00015170328,0.0010865672,0.000010535265,0.01762591],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99809533,0.00006392894,0.00032895486,0.0006216155,0.00028939947,0.00060077966],"domain_scores_gemma":[0.99966556,0.000022341748,0.00004286605,0.00014570558,0.000017617675,0.00010593894],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00016687,0.00031356743,0.00021327377,0.000025496214,0.00039554262,0.00018306907,0.0002447856,0.00013107521,0.0009495885],"category_scores_gemma":[0.0000018994547,0.00016315962,0.0002401237,0.00030472223,0.000128194,0.0008650815,0.00033572907,0.00013197148,0.0007773548],"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":[0.00037543496,0.0005630216,0.037260406,0.00033554639,0.0038178854,0.00031429247,0.0013142035,0.8359342,0.014371352,0.009624562,0.08543179,0.010657313],"study_design_scores_gemma":[0.00068681914,0.00016079309,0.9079769,0.000046580113,0.00074539304,0.00012455553,0.00015002368,0.083647765,0.000563112,0.0014615252,0.0038084032,0.0006280778],"about_ca_topic_score_codex":0.00004216996,"about_ca_topic_score_gemma":0.00007666388,"teacher_disagreement_score":0.8707166,"about_ca_system_score_codex":0.00036644036,"about_ca_system_score_gemma":0.0000014600967,"threshold_uncertainty_score":0.9999637},"labels":[],"label_agreement":null},{"id":"W4393246272","doi":"10.1016/j.agwat.2024.108791","title":"Nitrogen losses from soil as affected by water and fertilizer management under drip irrigation: Development, hotspots and future perspectives","year":2024,"lang":"en","type":"article","venue":"Agricultural Water Management","topic":"Irrigation Practices and Water Management","field":"Agricultural and Biological Sciences","cited_by":75,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"National Natural Science Foundation of China","keywords":"Drip irrigation; Environmental science; Fertilizer; Irrigation; Nitrogen fertilizer; Hydrology (agriculture); Agronomy; Water resource management; Geology; Biology","score_opus":0.007222065826565638,"score_gpt":0.1987106782887893,"score_spread":0.19148861246222365,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393246272","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9727686,0.0015841923,0.000009053771,0.015744803,0.0002917702,0.0007307785,0.000019623762,0.00025300359,0.0085981665],"genre_scores_gemma":[0.9861416,0.00076478237,0.00023705726,0.0005001354,0.00033174237,0.00014514291,0.00093568926,0.0000056216786,0.010938234],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99776405,0.00009219797,0.00032746,0.0008856521,0.00040625455,0.00052441144],"domain_scores_gemma":[0.99962413,0.000027478485,0.000044794084,0.00009807953,0.000055466626,0.00015003912],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018998493,0.0004157382,0.00022873725,0.000044747565,0.0004775599,0.0010013,0.00022608142,0.00009937315,0.0008855609],"category_scores_gemma":[7.055461e-7,0.00012737326,0.000074790354,0.00020091553,0.00007269217,0.0006968631,0.0005051745,0.0001442313,0.0003090225],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00047361525,0.0013799862,0.0017573787,0.0015416462,0.008607795,0.00084323843,0.031138808,0.000051371946,0.34298658,0.05579661,0.06537494,0.49004805],"study_design_scores_gemma":[0.00084707356,0.00020770212,0.2805314,0.00017632122,0.0005686722,0.000030246118,0.034021243,0.00004110099,0.052965056,0.018873515,0.61034405,0.0013935968],"about_ca_topic_score_codex":0.00015709396,"about_ca_topic_score_gemma":0.00008694055,"teacher_disagreement_score":0.54496914,"about_ca_system_score_codex":0.00008343599,"about_ca_system_score_gemma":0.0000013506288,"threshold_uncertainty_score":0.9696271},"labels":[],"label_agreement":null},{"id":"W4403446628","doi":"10.1016/j.agwat.2024.109103","title":"Integrated effects of polyethylene/biodegradable residual film on soil hydrothermal conditions and spring maize growth in rain-fed dryland","year":2024,"lang":"en","type":"article","venue":"Agricultural Water Management","topic":"Microplastics and Plastic Pollution","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ministry of Agriculture","funders":"Key Research and Development Projects of Shaanxi Province; National Natural Science Foundation of China","keywords":"Hydrothermal circulation; Spring (device); Residual; Agronomy; Environmental science; Polyethylene; Geology; Materials science; Biology; Mathematics; Composite material; Engineering","score_opus":0.0034118866795802565,"score_gpt":0.17121444040603778,"score_spread":0.16780255372645753,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403446628","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99426097,0.00005549641,0.000084371284,0.0003896031,0.0001382224,0.0002577757,0.000019702202,0.000031889092,0.004761944],"genre_scores_gemma":[0.99725574,0.000032829426,0.00011150337,0.00004753386,0.00001891208,0.000021757196,0.00003654404,0.0000068446884,0.0024683154],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99915785,0.00003897865,0.00015079003,0.0002550261,0.00015497896,0.00024238817],"domain_scores_gemma":[0.99980956,0.000058081267,0.000019263643,0.00006292645,0.0000032365394,0.000046951034],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009914656,0.00014476094,0.000117881056,0.00006332173,0.00006176821,0.000051734918,0.00008011809,0.000041082243,0.00018446686],"category_scores_gemma":[0.000004822359,0.00007794949,0.000028114757,0.00014493988,0.000060724793,0.000098374716,0.000116404495,0.000098355405,0.00013843377],"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":[0.000106685635,0.00021638072,0.0023157618,0.0006833594,0.00018616713,0.0003063283,0.0014884294,0.0033529757,0.9671401,0.0067308224,0.015078377,0.0023946064],"study_design_scores_gemma":[0.0012078555,0.0003237494,0.37310544,0.00058873574,0.0001125261,0.000012324643,0.00027321707,0.002807483,0.61694115,0.0009658583,0.003173496,0.0004881747],"about_ca_topic_score_codex":0.00071345497,"about_ca_topic_score_gemma":0.00025864225,"teacher_disagreement_score":0.37078965,"about_ca_system_score_codex":0.00008576392,"about_ca_system_score_gemma":0.0000014386796,"threshold_uncertainty_score":0.3178688},"labels":[],"label_agreement":null},{"id":"W4403509065","doi":"10.1016/j.agwat.2024.109105","title":"Plastic mulching enhances maize yield and water productivity by improving root characteristics, green leaf area, and photosynthesis for different cultivars in dryland regions","year":2024,"lang":"en","type":"article","venue":"Agricultural Water Management","topic":"Irrigation Practices and Water Management","field":"Agricultural and Biological Sciences","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Cultivar; Agronomy; Mulch; Photosynthesis; Yield (engineering); Productivity; Environmental science; Water-use efficiency; Water use; Biology; Mathematics; Botany; Irrigation; Materials science","score_opus":0.013268088428772319,"score_gpt":0.1970678790350142,"score_spread":0.18379979060624188,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403509065","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.992279,0.00009703011,0.000049665672,0.006078503,0.0002495738,0.0009081303,0.00004549291,0.000085878324,0.00020671605],"genre_scores_gemma":[0.9953967,0.000074964315,0.000032802935,0.00006490885,0.00015208643,0.00023207715,0.0002296862,0.0000032279606,0.0038135608],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9983375,0.000045057874,0.0003036275,0.0006731287,0.00018125489,0.0004594304],"domain_scores_gemma":[0.9996049,0.00017216099,0.00005194634,0.00006483749,0.000025768219,0.000080392056],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026812675,0.00028717355,0.00024843554,0.000037477934,0.00027121886,0.0005153625,0.00014382128,0.00006105323,0.000048127757],"category_scores_gemma":[0.000014422967,0.00008322113,0.000060449576,0.000081303784,0.000046247267,0.0005014949,0.00028474312,0.0001255668,0.000008964802],"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":[0.00009604868,0.0001402939,0.001614207,0.00066823204,0.00018026805,0.000027232854,0.0012533386,0.000004547235,0.9340836,0.00039005972,0.0011986011,0.0603436],"study_design_scores_gemma":[0.0009222943,0.00073684833,0.4374169,0.0008982354,0.00061055453,0.000031580938,0.0034788302,0.0014958993,0.46629205,0.002834987,0.08333509,0.001946726],"about_ca_topic_score_codex":0.00063865684,"about_ca_topic_score_gemma":0.00089845614,"teacher_disagreement_score":0.46779153,"about_ca_system_score_codex":0.000054727647,"about_ca_system_score_gemma":6.8136666e-7,"threshold_uncertainty_score":0.4969652},"labels":[],"label_agreement":null},{"id":"W4404093532","doi":"10.1016/j.agwat.2024.109159","title":"Soil moisture retrieval over croplands using novel dual-polarization SAR vegetation index","year":2024,"lang":"en","type":"article","venue":"Agricultural Water Management","topic":"Soil Moisture and Remote Sensing","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"National Key Research and Development Program of China; Southwest Jiaotong University; National Natural Science Foundation of China","keywords":"Environmental science; Water content; Remote sensing; Vegetation (pathology); Vegetation Index; Enhanced vegetation index; Index (typography); Soil science; Normalized Difference Vegetation Index; Hydrology (agriculture); Leaf area index; Geology; Agronomy; Computer science; Geotechnical engineering","score_opus":0.0077152958633047285,"score_gpt":0.2075422700654521,"score_spread":0.19982697420214737,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404093532","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97250473,0.00008394705,0.002087669,0.00041103925,0.0008166743,0.0002715807,0.0000011444303,0.00013845437,0.023684785],"genre_scores_gemma":[0.9942215,0.000009157191,0.00067919993,0.00019933733,0.00022731232,4.8408964e-7,0.00010001744,0.000015801812,0.0045471946],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.998662,0.000022655315,0.00020244936,0.0004005369,0.00041398374,0.0002983899],"domain_scores_gemma":[0.99975497,0.000007721615,0.00003157586,0.0001378388,0.000010252109,0.000057642905],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011714836,0.00020066043,0.00011272786,0.000050029063,0.00018269848,0.00022690323,0.00008920858,0.00009626962,0.00007124497],"category_scores_gemma":[0.0000022263027,0.00010596112,0.000074940755,0.0003182098,0.000045726996,0.00039176593,0.00020315209,0.00014404606,0.00024403473],"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":[0.00005578165,0.00013884144,0.016321719,0.00031344406,0.00034382782,0.00023902158,0.0036448275,0.05971434,0.9019457,0.00045930472,0.0036510287,0.013172138],"study_design_scores_gemma":[0.0003784284,0.000030110165,0.9546976,0.00012273341,0.0001589698,0.00006445042,0.00021539239,0.013413189,0.016341435,0.00033691886,0.013830463,0.00041029727],"about_ca_topic_score_codex":0.00034766874,"about_ca_topic_score_gemma":0.000219634,"teacher_disagreement_score":0.9383759,"about_ca_system_score_codex":0.00024488184,"about_ca_system_score_gemma":0.0000017193855,"threshold_uncertainty_score":0.4320969},"labels":[],"label_agreement":null},{"id":"W4404405184","doi":"10.1016/j.agwat.2024.109172","title":"An inclusive approach to crop soil moisture estimation: Leveraging satellite thermal infrared bands and vegetation indices on Google Earth engine","year":2024,"lang":"en","type":"article","venue":"Agricultural Water Management","topic":"Soil Moisture and Remote Sensing","field":"Environmental Science","cited_by":36,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Dalhousie University; University of Saskatchewan; University of Guelph; University of Prince Edward Island","funders":"","keywords":"Thermal infrared; Satellite; Vegetation (pathology); Environmental science; Remote sensing; Water content; Infrared; Earth observation; Moisture; Earth (classical element); Soil science; Meteorology; Geology; Geography; Mathematics; Geotechnical engineering; Aerospace engineering; Engineering","score_opus":0.005021137790494888,"score_gpt":0.2012211147611813,"score_spread":0.1961999769706864,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404405184","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.86326826,0.00010979252,0.00039236873,0.00071117835,0.00016207086,0.00034649402,5.533954e-7,0.00011311326,0.13489617],"genre_scores_gemma":[0.9942288,0.000014573343,0.0029633108,0.00043369044,0.00011578736,0.00000758053,0.00009805895,0.000011450291,0.0021267883],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99887276,0.00003809311,0.00014667676,0.00041577723,0.00028626708,0.0002404265],"domain_scores_gemma":[0.99973696,0.000009397823,0.000020465284,0.00013569392,0.0000069009893,0.00009057834],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011471447,0.00019239729,0.000108783446,0.00005795346,0.00019882877,0.0002750251,0.0001127918,0.00004941697,0.00001285058],"category_scores_gemma":[0.0000012410502,0.0001001608,0.00003248504,0.00019597648,0.000034335815,0.00037448175,0.00018145662,0.00011364645,0.0001757166],"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":[0.00004352017,0.00016932469,0.00094532664,0.00031128884,0.00019733424,0.00011705056,0.04325982,0.30899978,0.039238997,0.0005362033,0.0010758381,0.6051055],"study_design_scores_gemma":[0.0002963814,0.0001524084,0.95709306,0.00014143602,0.000085276675,0.000022853701,0.0010985899,0.013855903,0.017517412,0.0005445842,0.0087318085,0.0004602975],"about_ca_topic_score_codex":0.00009381225,"about_ca_topic_score_gemma":0.00006149604,"teacher_disagreement_score":0.95614773,"about_ca_system_score_codex":0.000079638834,"about_ca_system_score_gemma":0.0000010324753,"threshold_uncertainty_score":0.4084439},"labels":[],"label_agreement":null},{"id":"W4405174914","doi":"10.1016/j.agwat.2024.109215","title":"Regional-scale precision mapping of cotton suitability using UAV and satellite data in arid environments","year":2024,"lang":"en","type":"article","venue":"Agricultural Water Management","topic":"Remote Sensing in Agriculture","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"National Key Research and Development Program of China; Northwest A and F University; National Natural Science Foundation of China","keywords":"Satellite; Scale (ratio); Remote sensing; Arid; Environmental science; Computer science; Geography; Cartography; Geology; Engineering; Aerospace engineering","score_opus":0.023823424939468686,"score_gpt":0.2296489947679822,"score_spread":0.20582556982851352,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405174914","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99538106,0.00029157478,0.0001336693,0.00052097207,0.00014552736,0.00050202874,0.0000075020425,0.000029118182,0.0029885215],"genre_scores_gemma":[0.992644,0.00032919488,0.005266675,0.00004054741,0.000032942564,0.0000021004698,0.0001620405,0.0000095313235,0.0015129757],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99809355,0.00007678288,0.00036036695,0.0007194293,0.00043848663,0.000311412],"domain_scores_gemma":[0.999406,0.000028892158,0.000045740722,0.0004553936,0.0000031211,0.000060846407],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041109684,0.00020504193,0.0001870681,0.00004535758,0.000063923326,0.00007651058,0.00033919277,0.00006828734,0.00007374994],"category_scores_gemma":[0.0000034413515,0.000107114,0.000040077517,0.00024358992,0.00012543425,0.00049316,0.0013456835,0.00013134432,0.00009316433],"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":[0.00004255385,0.000331061,0.037900943,0.00057609665,0.00016322779,0.00012840632,0.0068413434,0.0048277783,0.84610337,0.000086289125,0.0041855746,0.09881336],"study_design_scores_gemma":[0.00020447675,0.000023382829,0.94153774,0.0002687129,0.000049324924,0.00003257776,0.00084028905,0.0028295214,0.008255461,0.0004909322,0.045164317,0.00030326116],"about_ca_topic_score_codex":0.0002764506,"about_ca_topic_score_gemma":0.00012279651,"teacher_disagreement_score":0.9036368,"about_ca_system_score_codex":0.00024258913,"about_ca_system_score_gemma":8.6776885e-7,"threshold_uncertainty_score":0.43679821},"labels":[],"label_agreement":null},{"id":"W4405565262","doi":"10.1016/j.agwat.2024.109216","title":"Effect of topographical and soil complexity on potato yields in irrigated fields","year":2024,"lang":"en","type":"article","venue":"Agricultural Water Management","topic":"Potato Plant Research","field":"Agricultural and Biological Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Saskatchewan; Lethbridge College","funders":"","keywords":"Environmental science; Agricultural engineering; Hydrology (agriculture); Agronomy; Soil science; Mathematics; Geology; Geotechnical engineering; Engineering","score_opus":0.017223456274392774,"score_gpt":0.24360588321154822,"score_spread":0.22638242693715543,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405565262","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.991726,0.00008989677,2.1310426e-7,0.0024910034,0.00006260618,0.000335935,0.000011438365,0.000056567424,0.0052263467],"genre_scores_gemma":[0.9991974,0.00004828544,0.00000586463,0.000056596225,0.0000371816,0.0000295979,0.00009012361,6.2223e-7,0.0005343115],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9988304,0.00012675027,0.00017992896,0.0003038681,0.0002481562,0.00031091835],"domain_scores_gemma":[0.99969465,0.00017111073,0.000012062617,0.00004114656,0.000013311482,0.00006771207],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033453852,0.0001489758,0.00018118664,0.000037486734,0.000053456934,0.00008186321,0.00016604354,0.00007649424,0.000160873],"category_scores_gemma":[0.0000037810669,0.00003707167,0.00007118834,0.00030749806,0.0000668947,0.00007477526,0.00016400368,0.00018991808,0.000039529255],"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":[0.0009487997,0.0005869278,0.020565722,0.0020866934,0.0006448599,0.0014501499,0.0011514577,0.000107664935,0.46523756,0.035230875,0.009612984,0.4623763],"study_design_scores_gemma":[0.0005657584,0.00272151,0.8201669,0.00046726593,0.00006679308,0.000038483322,0.00025062167,0.00040808163,0.1657213,0.004399212,0.0046762316,0.00051782426],"about_ca_topic_score_codex":0.0003945415,"about_ca_topic_score_gemma":0.00062870595,"teacher_disagreement_score":0.7996012,"about_ca_system_score_codex":0.000018107707,"about_ca_system_score_gemma":5.310335e-7,"threshold_uncertainty_score":0.17614464},"labels":[],"label_agreement":null},{"id":"W4405667317","doi":"10.1016/j.agwat.2024.109234","title":"Implications of water management on methane emissions and grain yield in paddy rice: A case study under subtropical conditions in Brazil using the CSM-CERES-Rice model","year":2024,"lang":"en","type":"article","venue":"Agricultural Water Management","topic":"Rice Cultivation and Yield Improvement","field":"Agricultural and Biological Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carbon Engineering (Canada)","funders":"Fundação de Amparo à Pesquisa do Estado de São Paulo","keywords":"Subtropics; Environmental science; Methane; Yield (engineering); Grain yield; Humid subtropical climate; Methane emissions; Agronomy; Hydrology (agriculture); Ecology; Geology; Biology","score_opus":0.05165443852043118,"score_gpt":0.29745352326037,"score_spread":0.24579908473993883,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405667317","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9868045,0.000034086832,0.000039123715,0.0101958,0.00007413537,0.0013260721,0.000019132729,0.00003761372,0.0014695557],"genre_scores_gemma":[0.9974012,0.00003002572,0.00006285315,0.00044940584,0.000029788955,0.00022358938,0.00006470122,0.000002061693,0.001736412],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99848247,0.00010107648,0.00041193434,0.00043682643,0.00022247664,0.00034519867],"domain_scores_gemma":[0.99966973,0.000078086974,0.000034911944,0.000117820564,0.000032660817,0.00006678895],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026382096,0.00020703269,0.00017948086,0.00007116015,0.00020258887,0.0001135717,0.00019718858,0.000052503197,0.000098962824],"category_scores_gemma":[0.0000033611832,0.000055856555,0.00007154721,0.00043041358,0.000043041557,0.00015455109,0.00027266066,0.00017066405,0.000009498147],"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":[0.00007594145,0.0030308876,0.0025940803,0.00033415898,0.0005434129,0.00081220863,0.009277252,0.0060072606,0.9460692,0.016436003,0.003992851,0.010826772],"study_design_scores_gemma":[0.0016342291,0.00067828747,0.8611512,0.00038953155,0.00041418913,0.00017777781,0.10302295,0.004423537,0.017090954,0.008684037,0.0013166126,0.0010166611],"about_ca_topic_score_codex":0.00064787804,"about_ca_topic_score_gemma":0.0011929636,"teacher_disagreement_score":0.9289782,"about_ca_system_score_codex":0.000088937675,"about_ca_system_score_gemma":0.0000018580147,"threshold_uncertainty_score":0.22777642},"labels":[],"label_agreement":null},{"id":"W4405987299","doi":"10.1016/j.agwat.2024.109254","title":"Surface water and flood-based agricultural systems: Mapping and modelling long-term variability in the Senegal river floodplain","year":2025,"lang":"en","type":"article","venue":"Agricultural Water Management","topic":"Flood Risk Assessment and Management","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval; CentrEau - Quebec Water Management Research Centre","funders":"Agence Nationale de la Recherche","keywords":"Floodplain; Hydrology (agriculture); Term (time); Flood myth; Environmental science; Surface water; Water resource management; Agriculture; Geography; Geology; Environmental engineering; Cartography; Archaeology; Geotechnical engineering","score_opus":0.008155121156592957,"score_gpt":0.19660808357510598,"score_spread":0.18845296241851303,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405987299","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9876788,0.000064831685,0.002722254,0.0019502989,0.00019970919,0.0014500662,0.0000026813864,0.000055445318,0.0058758655],"genre_scores_gemma":[0.9962458,0.000057367168,0.0009174968,0.0001989618,0.000026853635,0.00009854914,0.000087823595,0.0000066271364,0.0023605186],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9977388,0.000297316,0.00037290968,0.0006470979,0.00037345864,0.0005704582],"domain_scores_gemma":[0.9995629,0.00004582847,0.0000402701,0.00027871918,0.000012422183,0.000059853835],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010035434,0.00033519202,0.00024959195,0.000051987387,0.00031951553,0.00032083053,0.00033596886,0.00007134653,0.00004021619],"category_scores_gemma":[0.0000015855925,0.00013648917,0.00005844594,0.00021814974,0.00013144892,0.0003728553,0.000708172,0.00017045703,0.000040078914],"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":[0.00009847801,0.00092288153,0.25791416,0.0019747713,0.00066037773,0.00021021413,0.010444318,0.6972097,0.015939578,0.00484152,0.005742103,0.004041876],"study_design_scores_gemma":[0.0013437888,0.00004531567,0.96924996,0.00015863951,0.00020666394,0.000006720548,0.0026034883,0.02122205,0.0017805572,0.00042367761,0.0023835008,0.0005756129],"about_ca_topic_score_codex":0.0005929745,"about_ca_topic_score_gemma":0.00015474092,"teacher_disagreement_score":0.71133584,"about_ca_system_score_codex":0.00017363291,"about_ca_system_score_gemma":0.0000012465881,"threshold_uncertainty_score":0.5565867},"labels":[],"label_agreement":null},{"id":"W4406203790","doi":"10.1016/j.agwat.2025.109292","title":"Effect of irrigation with magnetized and ionized water on yield, nutrient uptake and water-use efficiency of winter wheat in Xinjiang, China","year":2025,"lang":"en","type":"article","venue":"Agricultural Water Management","topic":"Magnetic and Electromagnetic Effects","field":"Biochemistry, Genetics and Molecular Biology","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Nutrient; Agronomy; Irrigation; Yield (engineering); Environmental science; China; Winter wheat; Water-use efficiency; Biology; Geography; Materials science; Ecology","score_opus":0.0019425259622745767,"score_gpt":0.1856615489436663,"score_spread":0.18371902298139173,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406203790","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.996405,0.0001620116,0.000045413733,0.00037466816,0.000045587214,0.00081012526,0.0000018036559,0.0000065381037,0.0021488352],"genre_scores_gemma":[0.9953452,0.00008441521,0.00008163774,0.000043842174,0.000011525746,0.000058618527,0.00008317107,0.0000061018013,0.0042855274],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99895775,0.000088389286,0.00023689681,0.00032808355,0.00011683092,0.00027206485],"domain_scores_gemma":[0.9997248,0.000012885629,0.000026761465,0.00017182635,0.000028849903,0.00003487902],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002025261,0.00020143153,0.0002367131,0.000077750294,0.00003787666,0.000025183284,0.000085275715,0.000071816445,0.000020870886],"category_scores_gemma":[0.0000053207596,0.00008109052,0.000040321902,0.000056201476,0.00007480805,0.000007327878,0.00014710899,0.000057853005,0.0000017829165],"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":[0.0009179148,0.000091657676,0.00052041886,0.00049896096,0.00006092131,0.0000055623545,0.00027775264,0.000027335213,0.99444556,0.00009029514,0.00021857649,0.0028450217],"study_design_scores_gemma":[0.0024409727,0.0039484487,0.02852263,0.00017407055,0.00008367184,0.0000047609988,0.000039266844,0.000016746255,0.96397144,0.00004318905,0.0006162415,0.00013857313],"about_ca_topic_score_codex":0.00004945915,"about_ca_topic_score_gemma":0.000016878439,"teacher_disagreement_score":0.030474152,"about_ca_system_score_codex":0.000009621997,"about_ca_system_score_gemma":0.0000017185988,"threshold_uncertainty_score":0.33067754},"labels":[],"label_agreement":null},{"id":"W4406789313","doi":"10.1016/j.agwat.2025.109304","title":"Assessing the impacts of shifting planting dates on crop yields and irrigation demand under warming scenarios in Alberta, Canada","year":2025,"lang":"en","type":"article","venue":"Agricultural Water Management","topic":"Climate change impacts on agriculture","field":"Agricultural and Biological Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Western University; University of Saskatchewan; Global Institute for Water Security","funders":"Natural Sciences and Engineering Research Council of Canada; China Scholarship Council","keywords":"Environmental science; Irrigation; Sowing; Climate change; Crop; Global warming; Water resource management; Climatology; Agronomy; Geography; Forestry; Geology","score_opus":0.018685760894392753,"score_gpt":0.2444057102525459,"score_spread":0.22571994935815315,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406789313","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9837727,0.000055862904,6.316511e-7,0.01221944,0.000111483285,0.0003959315,0.0000051045245,0.000016869293,0.0034219944],"genre_scores_gemma":[0.9986124,0.0000253594,0.000016480784,0.00074886373,0.0000538113,0.000013750786,0.00011469678,0.0000010014631,0.0004136197],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99865603,0.00007968805,0.00032676908,0.00029547676,0.00023681132,0.00040522718],"domain_scores_gemma":[0.9994584,0.00027224995,0.00011202603,0.000061713916,0.000042891894,0.000052772022],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027290112,0.00021130084,0.00020260274,0.000023515902,0.00029455885,0.00025074303,0.00021789288,0.000069239635,0.00002805321],"category_scores_gemma":[0.000028730194,0.000052954998,0.000037682494,0.0003451231,0.00003067163,0.00026715326,0.00021231316,0.00016021529,0.0000018593033],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010985087,0.00042499634,0.14591151,0.0008098363,0.0005668885,0.00009227013,0.006093872,0.003780714,0.7820998,0.006835945,0.008298332,0.044975992],"study_design_scores_gemma":[0.00019260423,0.000033242482,0.96625715,0.00046333365,0.000040725106,0.000004829111,0.008618443,0.0000842582,0.023287795,0.0002814289,0.00054314395,0.00019305982],"about_ca_topic_score_codex":0.18842489,"about_ca_topic_score_gemma":0.66145104,"teacher_disagreement_score":0.82034564,"about_ca_system_score_codex":0.00011526696,"about_ca_system_score_gemma":0.0000054868206,"threshold_uncertainty_score":0.81697947},"labels":[],"label_agreement":null},{"id":"W4408252755","doi":"10.1016/j.agwat.2025.109417","title":"Potential deficit irrigation adaptation strategies under climate change for sustaining cotton production in hyper–arid areas","year":2025,"lang":"en","type":"article","venue":"Agricultural Water Management","topic":"Research in Cotton Cultivation","field":"Agricultural and Biological Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Natural Science Foundation of Jiangsu Province","keywords":"Arid; Deficit irrigation; Irrigation; Production (economics); Adaptation (eye); Climate change; Environmental science; Climate change adaptation; Water resource management; Semi-arid climate; Agroforestry; Irrigation management; Economics; Agronomy; Ecology; Biology","score_opus":0.04534162232851199,"score_gpt":0.27084928008909753,"score_spread":0.22550765776058554,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408252755","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98537385,0.000041834406,0.0002073836,0.009647125,0.0003408322,0.0019810032,0.000008430137,0.000099836674,0.0022996976],"genre_scores_gemma":[0.9970551,0.00006340237,0.00022370984,0.00010674564,0.0002257783,0.00066905626,0.000879939,0.0000014290306,0.00077482604],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99842066,0.00008682604,0.0003035153,0.00043774172,0.00027664707,0.00047460536],"domain_scores_gemma":[0.99960834,0.000035736914,0.00006944208,0.00005876152,0.00019247818,0.000035218312],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040676576,0.0001770528,0.00014236518,0.00006093899,0.00030748555,0.0002687878,0.00017374285,0.000078776546,0.000024880692],"category_scores_gemma":[0.000015760737,0.00006289096,0.00006953791,0.00042740547,0.000028419017,0.00076356716,0.000116557014,0.00009559584,0.000014711608],"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":[0.0005827092,0.00052386656,0.0034010226,0.0006629484,0.00015715508,0.000012717513,0.0020191465,0.018584,0.41997293,0.09162871,0.001516763,0.46093804],"study_design_scores_gemma":[0.00065754243,0.00021436329,0.9234403,0.00020280354,0.000055125092,0.000002845733,0.03636367,0.00220439,0.015378366,0.018500907,0.0025773484,0.00040235143],"about_ca_topic_score_codex":0.00024308504,"about_ca_topic_score_gemma":0.00079389836,"teacher_disagreement_score":0.92003924,"about_ca_system_score_codex":0.00017955134,"about_ca_system_score_gemma":0.0000035406583,"threshold_uncertainty_score":0.25919268},"labels":[],"label_agreement":null},{"id":"W4408990628","doi":"10.1016/j.agwat.2025.109434","title":"Understanding hydrometeorological conditions and their relationship with crop production in the upper east region, Ghana","year":2025,"lang":"en","type":"article","venue":"Agricultural Water Management","topic":"Hydrology and Drought Analysis","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Fakultas Sains dan Teknik, Universitas Nusa Cendana","keywords":"Hydrometeorology; Crop production; Production (economics); Crop; Geography; Water resource management; Environmental science; Hydrology (agriculture); Forestry; Geology; Agriculture; Precipitation; Meteorology; Economics; Archaeology; Geotechnical engineering","score_opus":0.030138977397136557,"score_gpt":0.21051454313748574,"score_spread":0.1803755657403492,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408990628","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9517382,0.000009510577,0.0005235256,0.020746313,0.000027413067,0.0002745989,3.711401e-7,0.000020523323,0.026659574],"genre_scores_gemma":[0.99637085,0.000005890466,0.000045207875,0.00038661924,0.000010025899,0.000053305695,0.00002407828,0.000001540926,0.0031024655],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992767,0.00010728633,0.00011250659,0.00024906674,0.00008561958,0.00016881918],"domain_scores_gemma":[0.9998124,0.000022135046,0.00002068705,0.00012532253,0.000003022237,0.000016436274],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019690269,0.00009844039,0.000080695834,0.000050980245,0.00033751328,0.000037385835,0.000109363995,0.000038149727,0.000082258564],"category_scores_gemma":[0.0000043318387,0.000036021305,0.00002534421,0.00038481053,0.00016985425,0.00016821806,0.00008584987,0.000104247476,0.000038510614],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008900618,0.0003412497,0.8936304,0.000043747892,0.0003634532,0.00006888455,0.010654394,0.016287165,0.0009867381,0.05200684,0.025119979,0.00040813233],"study_design_scores_gemma":[0.00021738606,0.00003982366,0.971999,0.000014920268,0.00008231627,0.000026005677,0.005873281,0.00010475861,0.00015781015,0.020346148,0.0010220662,0.00011648577],"about_ca_topic_score_codex":0.000027111675,"about_ca_topic_score_gemma":0.00026688154,"teacher_disagreement_score":0.07836859,"about_ca_system_score_codex":0.000089136076,"about_ca_system_score_gemma":4.9022714e-7,"threshold_uncertainty_score":0.25959134},"labels":[],"label_agreement":null},{"id":"W4410634543","doi":"10.1016/j.agwat.2025.109555","title":"Advancing SWAT modeling with rainfall risk-based fertilizer timing to improve nutrient management and crop yields","year":2025,"lang":"en","type":"article","venue":"Agricultural Water Management","topic":"Soil and Water Nutrient Dynamics","field":"Environmental Science","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Ohio State University; Cooperative Institute for Great Lakes Research","keywords":"Environmental science; Fertilizer; Nutrient management; Nutrient; Crop; SWAT model; Agronomy; Water resource management; Agricultural engineering; Agroforestry; Surface runoff; Engineering; Biology; Ecology","score_opus":0.003918745271859596,"score_gpt":0.1859994319622593,"score_spread":0.1820806866903997,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410634543","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9415335,0.000021221855,0.03979917,0.001562156,0.00018464275,0.0011912598,0.0000036336612,0.00011928297,0.015585105],"genre_scores_gemma":[0.98251027,0.000035099587,0.00990313,0.00095693546,0.000019136309,0.00021424363,0.000028381468,0.000015874703,0.0063169114],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9979257,0.000034857356,0.00030142444,0.0007263998,0.00036283015,0.000648802],"domain_scores_gemma":[0.99944484,0.000011598594,0.000046954967,0.00032516156,0.000017751201,0.00015370209],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002052009,0.0003337364,0.00021159908,0.000100729056,0.00033244037,0.00014905908,0.00028255858,0.000052754123,0.000028720648],"category_scores_gemma":[0.0000022534766,0.00017794581,0.00006234677,0.0003061215,0.000045930778,0.00022165701,0.0008039906,0.00013202959,0.00009834277],"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":[0.0007297844,0.0005379347,0.07551188,0.00064739713,0.000582547,0.00018056149,0.0021146825,0.87882954,0.0022235636,0.0016710717,0.0055831666,0.031387854],"study_design_scores_gemma":[0.015674708,0.0015603252,0.26188064,0.0018247438,0.0024428293,0.000018757059,0.007942209,0.5622849,0.038828645,0.023491602,0.07857596,0.0054747113],"about_ca_topic_score_codex":0.00020156021,"about_ca_topic_score_gemma":0.000048442314,"teacher_disagreement_score":0.31654468,"about_ca_system_score_codex":0.0002876579,"about_ca_system_score_gemma":0.0000013125515,"threshold_uncertainty_score":0.72564197},"labels":[],"label_agreement":null},{"id":"W4411169223","doi":"10.1016/j.agwat.2025.109590","title":"Comparison and evaluation of the suitability of existing irrigation area products in the Yellow River Basin","year":2025,"lang":"en","type":"article","venue":"Agricultural Water Management","topic":"Forest, Soil, and Plant Ecology in China","field":"Social 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":"CAE (Canada)","funders":"National Key Research and Development Program of China; National Natural Science Foundation of China","keywords":"Irrigation; Water resource management; Hydrology (agriculture); Environmental science; Structural basin; Drainage basin; Geography; Geology; Cartography; Geomorphology; Geotechnical engineering; Ecology","score_opus":0.07092634638442952,"score_gpt":0.33033085941348816,"score_spread":0.25940451302905865,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411169223","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9473748,0.000030011375,9.060405e-7,0.004128634,0.0001668859,0.00067759707,0.0000016042795,0.0000043704335,0.047615156],"genre_scores_gemma":[0.9992523,0.0000068443246,0.0000389772,0.00003408315,0.00001535596,0.000019580899,0.000011474624,5.490301e-7,0.0006208163],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988374,0.00048094252,0.00017817588,0.000116251686,0.00028075348,0.000106469946],"domain_scores_gemma":[0.9996409,0.00008311149,0.000068208494,0.000099243814,0.0001027483,0.0000058319365],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021898295,0.000050419017,0.00008848754,0.00002120595,0.00017429142,0.000015389907,0.00016698237,0.0000295719,0.0000075357093],"category_scores_gemma":[0.000078588964,0.000020350857,0.000020679166,0.00020072107,0.0001840471,0.00007215908,0.000057725454,0.000054169403,8.9289284e-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":[0.000024002093,0.0002278938,0.82100785,0.00032467765,0.00008047388,5.925655e-7,0.107354864,0.0010732332,0.00044250936,0.05875933,0.0051311096,0.005573438],"study_design_scores_gemma":[0.00013430048,0.0000086489335,0.9802046,0.000040543237,0.00006338007,8.870328e-8,0.007770306,0.00013317844,0.0011301655,0.009576097,0.0009058946,0.00003281371],"about_ca_topic_score_codex":0.0009968514,"about_ca_topic_score_gemma":0.003936822,"teacher_disagreement_score":0.1591967,"about_ca_system_score_codex":0.000051585397,"about_ca_system_score_gemma":0.00000975404,"threshold_uncertainty_score":0.21968392},"labels":[],"label_agreement":null},{"id":"W4412451790","doi":"10.1016/j.agwat.2025.109656","title":"Long-term soil mulching combined with N fertilizer could maintain soil water balance in semi-arid regions of Northwest China","year":2025,"lang":"en","type":"article","venue":"Agricultural Water Management","topic":"Irrigation Practices and Water Management","field":"Agricultural and Biological Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ministry of Agriculture","funders":"","keywords":"Mulch; Environmental science; Water balance; Arid; Fertilizer; Term (time); Hydrology (agriculture); Soil water; China; Soil science; Agronomy; Geology; Geography; Geotechnical engineering","score_opus":0.007591035341650669,"score_gpt":0.20622480647206878,"score_spread":0.1986337711304181,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412451790","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9812379,0.00002519836,0.000050683127,0.011401717,0.00016247533,0.0008121548,0.000009078393,0.0000789546,0.0062218783],"genre_scores_gemma":[0.9908324,0.00006260817,0.00004990876,0.00043902488,0.000043125103,0.00011961756,0.0006157147,0.0000025789057,0.007835006],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99782664,0.00011793615,0.0005244216,0.00054978026,0.00035640394,0.0006248401],"domain_scores_gemma":[0.9995227,0.000031857653,0.0001204802,0.00017268742,0.00007835722,0.00007393048],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032235408,0.00034132448,0.00036235867,0.000062458836,0.00025858366,0.00017355589,0.00047579917,0.000083066916,0.00017311609],"category_scores_gemma":[0.0000027816477,0.00009474239,0.00011458352,0.00038347507,0.000073432835,0.00042909328,0.00044619432,0.00020545705,0.00004275457],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0033622384,0.00485803,0.61714035,0.0023478586,0.0024908753,0.0010152464,0.005504555,0.0150425155,0.26469365,0.043033406,0.0067281453,0.033783108],"study_design_scores_gemma":[0.0009977486,0.00024220117,0.97044426,0.00020792997,0.00010854564,0.0000044190624,0.00072401826,0.00009227373,0.023308337,0.0013009278,0.0021874262,0.00038191123],"about_ca_topic_score_codex":0.0012647473,"about_ca_topic_score_gemma":0.006692111,"teacher_disagreement_score":0.35330388,"about_ca_system_score_codex":0.00009585314,"about_ca_system_score_gemma":0.000002455431,"threshold_uncertainty_score":0.38634825},"labels":[],"label_agreement":null},{"id":"W4412835255","doi":"10.1016/j.agwat.2025.109689","title":"Using weather forecasts to avoid major emission events of N2O in connection with manure application","year":2025,"lang":"en","type":"article","venue":"Agricultural Water Management","topic":"Soil Carbon and Nitrogen Dynamics","field":"Agricultural and Biological Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"Landbrugsstyrelsen; Miljø- og Fødevareministeriet; National Institute of Food and Agriculture; Ministry of Environment; Ministeriet for Fø devarer, Landbrug og Fiskeri","keywords":"Connection (principal bundle); Environmental science; Manure; Meteorology; Climatology; Geography; Agronomy; Mathematics; Geology; Biology","score_opus":0.010006523751307088,"score_gpt":0.22003575228447939,"score_spread":0.2100292285331723,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412835255","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99644774,0.000012800451,0.00010110071,0.00081840926,0.000055390487,0.0006179476,0.0000032211435,0.000026884214,0.0019165276],"genre_scores_gemma":[0.9980742,0.000003901593,0.00022163478,0.0001221166,0.000025126446,0.00005615285,0.00006591057,7.966919e-7,0.001430157],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9991977,0.00003082466,0.00018123805,0.00024639917,0.00014937951,0.00019443988],"domain_scores_gemma":[0.99981236,0.000009417331,0.00004137307,0.000052239597,0.00004628032,0.00003830475],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000096074386,0.00012479116,0.00012895577,0.000032348198,0.00006622966,0.000016464555,0.00013370367,0.00005038129,0.000020970201],"category_scores_gemma":[0.0000014221889,0.000035921403,0.000043392134,0.0003969158,0.000009215646,0.00006643981,0.00009432606,0.00004984659,0.000008179172],"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":[0.00027061897,0.00027787316,0.04242724,0.0001287344,0.00010702326,0.0000064762894,0.00027737085,0.00085509627,0.9101285,0.0011416739,0.0003147148,0.04406471],"study_design_scores_gemma":[0.0006010754,0.00017367634,0.8807512,0.00025928527,0.00007424079,0.0000054473553,0.0015795783,0.001230322,0.11194253,0.0014430915,0.001626003,0.00031355373],"about_ca_topic_score_codex":0.00035598787,"about_ca_topic_score_gemma":0.000861388,"teacher_disagreement_score":0.83832395,"about_ca_system_score_codex":0.000077653836,"about_ca_system_score_gemma":9.423589e-7,"threshold_uncertainty_score":0.14648323},"labels":[],"label_agreement":null},{"id":"W4413441766","doi":"10.1016/j.agwat.2025.109765","title":"Deep vertical rotary tillage optimizes soil water-temperature-salinity conditions and enhances cotton growth in salinized arid farmland","year":2025,"lang":"en","type":"article","venue":"Agricultural Water Management","topic":"Soil Carbon and Nitrogen Dynamics","field":"Agricultural and Biological Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"National Key Research and Development Program of China; National Natural Science Foundation of China","keywords":"Environmental science; Tillage; Arid; Salinity; Soil salinity; Hydrology (agriculture); Soil water; Agronomy; Soil science; Geology; Geotechnical engineering; Biology","score_opus":0.00590760570797387,"score_gpt":0.20375493189987182,"score_spread":0.19784732619189793,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413441766","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99204284,0.00011287439,0.0000024394656,0.0033860442,0.00024874427,0.00046683932,0.000013948514,0.00010000382,0.003626265],"genre_scores_gemma":[0.9973796,0.000247219,0.00007293172,0.00064097275,0.00007835995,0.00009467432,0.00066962425,0.0000015275426,0.0008150658],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99832773,0.00012686245,0.00036243288,0.00047714065,0.00020725062,0.0004985524],"domain_scores_gemma":[0.99966466,0.000075214055,0.00002210012,0.00006786077,0.00006761937,0.00010254427],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019989857,0.00028275838,0.00031466788,0.000040026014,0.00025176618,0.00018994202,0.00023421082,0.00013712529,0.00011324662],"category_scores_gemma":[0.000009848162,0.00008262861,0.000107975444,0.00023863677,0.000100376354,0.00016992693,0.00028744387,0.00018674256,0.0000341351],"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":[0.0003488268,0.00053732586,0.007030789,0.0001695424,0.00035684792,0.00013918184,0.0007822493,0.000303228,0.98372936,0.0032281354,0.0010445231,0.0023299681],"study_design_scores_gemma":[0.002101179,0.00024277467,0.57270116,0.00013516984,0.00021676361,0.000018294175,0.002744425,0.0016070412,0.41252714,0.0058215754,0.0009621596,0.0009223333],"about_ca_topic_score_codex":0.00035946697,"about_ca_topic_score_gemma":0.0016413849,"teacher_disagreement_score":0.5712023,"about_ca_system_score_codex":0.00005020929,"about_ca_system_score_gemma":0.000001725547,"threshold_uncertainty_score":0.3369497},"labels":[],"label_agreement":null},{"id":"W4413747386","doi":"10.1016/j.agwat.2025.109764","title":"Controlled drainage – Effects on nutrient attenuation and water quality – A field study in Eastern Ontario, Canada","year":2025,"lang":"en","type":"article","venue":"Agricultural Water Management","topic":"Soil and Water Nutrient Dynamics","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Ministry of Agriculture, Food and Rural Affairs; University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada; Ontario Ministry of Agriculture, Food and Rural Affairs","keywords":"Water quality; Drainage; Environmental science; Attenuation; Nutrient; Hydrology (agriculture); Field (mathematics); Geology; Geotechnical engineering; Ecology; Biology; Mathematics","score_opus":0.0046497440595757306,"score_gpt":0.2026316531811717,"score_spread":0.19798190912159597,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413747386","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9842032,0.0000029855642,0.000015306316,0.002022078,0.0002602538,0.0016206352,6.1907554e-7,0.000018287616,0.011856588],"genre_scores_gemma":[0.98671216,0.0000011485363,0.000010831852,0.000896318,0.000011288144,0.00021180857,0.00002666577,0.0000035009948,0.012126257],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985003,0.000121356585,0.00031882856,0.00040185693,0.0003148201,0.0003428534],"domain_scores_gemma":[0.999688,0.000044118522,0.000031235646,0.00017944963,0.000006855658,0.000050324477],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002686814,0.00020024397,0.000250469,0.00004269002,0.0001102857,0.00006510678,0.00015408701,0.0000345161,0.000041963754],"category_scores_gemma":[0.000004156189,0.00009319033,0.000037231384,0.00008658748,0.000015085736,0.00010155652,0.00035552567,0.00010774922,0.0000375427],"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":[0.00046232468,0.00047476255,0.98913556,0.00007606525,0.00012636454,0.000119538105,0.0041374485,0.0003949808,0.0002444583,0.00027841987,0.0017031807,0.0028468736],"study_design_scores_gemma":[0.0056842035,0.00020449306,0.9867362,0.00004174342,0.000055654105,4.8614993e-7,0.0009166522,0.0000810116,0.002186105,0.002054706,0.0018075859,0.0002311673],"about_ca_topic_score_codex":0.6403278,"about_ca_topic_score_gemma":0.79468286,"teacher_disagreement_score":0.15435506,"about_ca_system_score_codex":0.0006219409,"about_ca_system_score_gemma":0.0000029881744,"threshold_uncertainty_score":0.38001913},"labels":[],"label_agreement":null},{"id":"W4413747402","doi":"10.1016/j.agwat.2025.109750","title":"Mapping sediment type at a recharge site with a towed electromagnetic system","year":2025,"lang":"en","type":"article","venue":"Agricultural Water Management","topic":"Geophysical and Geoelectrical Methods","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 Manitoba","funders":"National Institute of Food and Agriculture; U.S. Department of Agriculture","keywords":"Groundwater recharge; Geology; Sediment; Hydrology (agriculture); Type (biology); Geomorphology; Geotechnical engineering; Aquifer; Groundwater; Paleontology","score_opus":0.006108274131390252,"score_gpt":0.1807735394659039,"score_spread":0.17466526533451365,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413747402","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92755777,0.00017151613,0.000094616305,0.0012120131,0.00022386991,0.0005175346,0.0000032909936,0.00012427637,0.07009513],"genre_scores_gemma":[0.9621904,0.000011515212,0.0022575532,0.00030788334,0.00005037161,0.000011231274,0.000121467354,0.0000018918992,0.035047695],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99869436,0.00008642881,0.00017355318,0.00034662982,0.00022169764,0.0004773325],"domain_scores_gemma":[0.9996751,0.000028495397,0.000029599154,0.000144657,0.00004068658,0.0000814427],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00012899458,0.00018207455,0.00018924607,0.00006762493,0.00018935894,0.00006340067,0.00016181156,0.00003647631,0.0003485649],"category_scores_gemma":[0.000001846119,0.000078688376,0.00005096263,0.0005867322,0.000016770522,0.00006819459,0.000051472165,0.000091874674,0.0009552407],"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":[0.0027955696,0.00072305446,0.034163207,0.005032121,0.0036323327,0.0012138551,0.0039827465,0.0044970736,0.11178464,0.015861273,0.05291671,0.76339746],"study_design_scores_gemma":[0.0008753043,0.00092371495,0.9346564,0.0001793333,0.00015297582,0.000022178687,0.00040690688,0.0013369339,0.012911868,0.00061850855,0.047396388,0.00051951536],"about_ca_topic_score_codex":0.00024627717,"about_ca_topic_score_gemma":0.00010262218,"teacher_disagreement_score":0.90049314,"about_ca_system_score_codex":0.000034082033,"about_ca_system_score_gemma":0.0000033249917,"threshold_uncertainty_score":0.9998226},"labels":[],"label_agreement":null},{"id":"W4413818531","doi":"10.1016/j.agwat.2025.109782","title":"Microclimate, soil moisture and forage yield vary spatially within a temperate tree-based intercropping system: From competition to facilitation","year":2025,"lang":"en","type":"article","venue":"Agricultural Water Management","topic":"Agroforestry and silvopastoral systems","field":"Agricultural and Biological Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Agriculture and Agri-Food Canada; Université du Québec en Outaouais","funders":"Ministère de l'Agriculture, des Pêcheries et de l'Alimentation","keywords":"Intercropping; Microclimate; Temperate climate; Environmental science; Competition (biology); Forage; Facilitation; Agronomy; Agroforestry; Ecology; Biology","score_opus":0.010060881382109357,"score_gpt":0.18757126848392786,"score_spread":0.1775103871018185,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413818531","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99374574,0.000040357783,0.00028887173,0.0025129223,0.00032352604,0.0007561152,0.00006225401,0.0001424568,0.002127735],"genre_scores_gemma":[0.99693084,0.0000025890272,0.00020548605,0.0004352822,0.000117293166,0.00011028515,0.00064448937,0.0000011400497,0.0015526232],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99860716,0.00009597574,0.0003743653,0.00045384353,0.00017719012,0.00029144058],"domain_scores_gemma":[0.9996651,0.000046014644,0.00006414911,0.00006641686,0.00006920589,0.00008915188],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016845143,0.0002480507,0.0002475276,0.000027421585,0.00033121256,0.0002444517,0.0002019113,0.00009595539,0.00003419968],"category_scores_gemma":[0.000004858773,0.00008063072,0.0000753031,0.00021145579,0.000025443982,0.00017685453,0.00016376439,0.00009803596,0.0000750397],"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":[0.00015236184,0.00007152649,0.0061261477,0.00030430715,0.000115389616,0.000025567628,0.00069214613,0.00066748366,0.9856054,0.0013115947,0.001011517,0.003916529],"study_design_scores_gemma":[0.0008093359,0.00056926743,0.8792801,0.001992326,0.00017214032,0.000006557714,0.01212358,0.0004862854,0.09804426,0.00037738588,0.0052450337,0.0008937355],"about_ca_topic_score_codex":0.0026354347,"about_ca_topic_score_gemma":0.0048814286,"teacher_disagreement_score":0.88756114,"about_ca_system_score_codex":0.00009523857,"about_ca_system_score_gemma":0.0000021269252,"threshold_uncertainty_score":0.39840063},"labels":[],"label_agreement":null},{"id":"W4414481407","doi":"10.1016/j.agwat.2025.109833","title":"Assessing environmental impacts of agricultural water table management: A global meta-analysis","year":2025,"lang":"en","type":"article","venue":"Agricultural Water Management","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Science and Technology Plan Projects of Tibet Autonomous Region; Fundamental Research Funds for Central Universities of the Central South University; Fundamental Research Funds for the Central Universities; National Natural Science Foundation of China","keywords":"Drainage; Surface runoff; Watertable control; Water table; Hydrology (agriculture); Soil water; Precipitation; Climate change; Agriculture","score_opus":0.011863323806363707,"score_gpt":0.2298313429468743,"score_spread":0.2179680191405106,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414481407","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7963691,0.0002145137,0.00038410665,0.002833241,0.00021453426,0.001118383,0.000026341806,0.00012476242,0.19871505],"genre_scores_gemma":[0.9767773,0.00006128893,0.00076496217,0.0005756738,0.000015561456,0.00016904683,0.00027566327,0.000008206998,0.021352272],"study_design_codex":"meta_analysis","study_design_gemma":"observational","domain_scores_codex":[0.9967216,0.00014955837,0.0006680875,0.0008868042,0.00058569334,0.0009882223],"domain_scores_gemma":[0.9992493,0.000013205516,0.00012324472,0.00049857964,0.000010603408,0.00010510272],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00041523617,0.00055514247,0.0009061144,0.00015075643,0.00046990864,0.0001727183,0.00066214555,0.0001031918,0.0025812038],"category_scores_gemma":[0.0000012632236,0.00024596034,0.000853647,0.0007982896,0.0002453742,0.00087890396,0.0023148493,0.00012729251,0.00068693137],"study_design_candidate":"meta_analysis","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017210149,0.002374432,0.08005197,0.0009175174,0.7611112,0.00035371166,0.0028425206,0.05919616,0.031421877,0.008315909,0.050798226,0.002444387],"study_design_scores_gemma":[0.0009215862,0.00006152465,0.820903,0.000011275205,0.14510898,0.000004675775,0.0028916595,0.000031624546,0.019779623,0.0017975328,0.0077399197,0.00074857636],"about_ca_topic_score_codex":0.0002555117,"about_ca_topic_score_gemma":0.000114859926,"teacher_disagreement_score":0.74085104,"about_ca_system_score_codex":0.00032465626,"about_ca_system_score_gemma":6.545961e-7,"threshold_uncertainty_score":0.9999993},"labels":[],"label_agreement":null},{"id":"W4415022047","doi":"10.1016/j.agwat.2025.109856","title":"Meter-level resolution surface soil moisture estimation over agricultural fields from time-series quad-pol SAR with constraints of coarse resolution CCI data products","year":2025,"lang":"en","type":"article","venue":"Agricultural Water Management","topic":"Soil Moisture and Remote Sensing","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Fundamental Research Funds for the Central Universities; State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing; Natural Science Foundation of Jiangsu Province; National Natural Science Foundation of China","keywords":"Synthetic aperture radar; Water content; Image resolution; Radar; Vegetation (pathology); Dielectric; Microwave; Empirical modelling; Pixel; Backscatter (email)","score_opus":0.01278476756412912,"score_gpt":0.21054162883283112,"score_spread":0.197756861268702,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415022047","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.971117,0.00006935342,0.0011946984,0.0033268542,0.00032427203,0.0008641858,0.000044970562,0.00010113154,0.022957496],"genre_scores_gemma":[0.97125,0.000020039266,0.018851291,0.000116845345,0.000058175927,0.0000023774062,0.0014527322,0.000008277536,0.008240247],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9980695,0.0000999045,0.00036034675,0.00066478556,0.0004533776,0.0003520395],"domain_scores_gemma":[0.99916434,0.000023966842,0.0001400748,0.0005742029,0.000046093726,0.000051308667],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001843654,0.0002930099,0.00026540252,0.000031880227,0.00021172823,0.00007964,0.0003891811,0.000120769204,0.000077942466],"category_scores_gemma":[0.000016270162,0.00014634196,0.0000484207,0.00031775635,0.00024869503,0.0006687791,0.0006205655,0.00015910124,0.00012022071],"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":[0.0008830416,0.0008875206,0.0052991556,0.0005865216,0.0017963215,0.000117984586,0.0052071563,0.1487064,0.46602443,0.00066827354,0.2898641,0.07995907],"study_design_scores_gemma":[0.0012092337,0.00014572089,0.89957935,0.00033868017,0.0005059946,0.000019041943,0.0014218477,0.0047662957,0.0867942,0.00037869043,0.0041956627,0.0006453159],"about_ca_topic_score_codex":0.002915022,"about_ca_topic_score_gemma":0.0023927947,"teacher_disagreement_score":0.89428014,"about_ca_system_score_codex":0.00017299283,"about_ca_system_score_gemma":0.000005991507,"threshold_uncertainty_score":0.5967652},"labels":[],"label_agreement":null},{"id":"W4415339167","doi":"10.1016/j.agwat.2025.109892","title":"Towards sustainability for water-agriculture-energy-ecosystems nexus with interconnected uncertainty: A vine copula-based fixed-mix stochastic programming method","year":2025,"lang":"en","type":"article","venue":"Agricultural Water Management","topic":"Water-Energy-Food Nexus Studies","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"National Key Research and Development Program of China; National Natural Science Foundation of China","keywords":"Nexus (standard); Stochastic programming; Drawdown (hydrology); Brackish water; Water resources; Sustainability; Agriculture; Water-energy nexus; Farm water; Groundwater","score_opus":0.005676761349541954,"score_gpt":0.2258733164298763,"score_spread":0.22019655508033434,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415339167","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.13906446,0.00021197034,0.7841732,0.026536051,0.0018088737,0.012056766,0.00016144941,0.0018488739,0.0341384],"genre_scores_gemma":[0.98204684,7.25296e-7,0.005272003,0.00038563338,0.00008435608,0.0029921746,0.000577771,0.00003252319,0.008607961],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9958088,0.00024547434,0.0006871003,0.0012792556,0.000582251,0.0013971393],"domain_scores_gemma":[0.9988653,0.000080061276,0.00012737402,0.00053865,0.000207992,0.0001806245],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000507083,0.0007660553,0.00069098186,0.00012706082,0.00063633925,0.00023388972,0.0006942303,0.0001449638,0.00009525606],"category_scores_gemma":[0.000025978525,0.0003289643,0.0002547163,0.00058278185,0.0001652351,0.0003292974,0.0010049909,0.00016441222,0.000024056995],"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":[0.0035870767,0.0042003514,0.0006478182,0.0050272476,0.0063070036,0.0003920444,0.00804294,0.6715141,0.055663254,0.08818772,0.055641893,0.10078858],"study_design_scores_gemma":[0.018709514,0.006061467,0.011139644,0.0015994841,0.0042346665,0.00010459132,0.037599083,0.03879586,0.40815613,0.108230226,0.3575954,0.007773938],"about_ca_topic_score_codex":0.0037546984,"about_ca_topic_score_gemma":0.0056549846,"teacher_disagreement_score":0.8429824,"about_ca_system_score_codex":0.0015413056,"about_ca_system_score_gemma":0.000012022308,"threshold_uncertainty_score":0.99991626},"labels":[],"label_agreement":null},{"id":"W4415877740","doi":"10.1016/j.agwat.2025.109943","title":"Simulation of the pea crop development using AquaCrop model in Chichaoua region, Morocco: Application for irrigation management","year":2025,"lang":"en","type":"article","venue":"Agricultural Water Management","topic":"Climate change impacts on agriculture","field":"Agricultural and Biological Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Fondation OCP; Ministère de l'Enseignement Supérieur, de la Recherche Scientifique et de la Formation des Cadres; Ontario College of Pharmacists","keywords":"Evapotranspiration; Irrigation; Calibration; Growing season; Crop coefficient; Mean squared error; Leaf area index; Biomass (ecology); Deficit irrigation; Coefficient of determination","score_opus":0.03726958970441075,"score_gpt":0.2607119492067884,"score_spread":0.22344235950237767,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415877740","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9905278,0.00003434407,0.0021345152,0.0022634189,0.00011532364,0.002705201,0.000010966221,0.000050891675,0.0021575382],"genre_scores_gemma":[0.99661005,0.000012070455,0.00081377925,0.00021737083,0.000044905064,0.00024519622,0.00024065375,0.0000016242535,0.0018143358],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9984595,0.000041973264,0.0004796686,0.00039771892,0.0002660154,0.0003551274],"domain_scores_gemma":[0.99950683,0.000034182645,0.00016352105,0.000119830256,0.00013907842,0.000036579837],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020064041,0.00023054266,0.00019736055,0.000040689425,0.0002713825,0.00005947978,0.00037784677,0.000091899485,0.000006236425],"category_scores_gemma":[0.0000062284007,0.00006691704,0.00010736349,0.00059683784,0.000028802324,0.00017437161,0.00027727094,0.000075115,0.0000043680566],"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":[0.0001376721,0.00054410263,0.0019645328,0.0007032743,0.0002208207,0.0000025780012,0.0016917705,0.7028668,0.23233856,0.007491447,0.0012937943,0.050744664],"study_design_scores_gemma":[0.0019165736,0.000086667205,0.6974862,0.0008185597,0.0003253615,0.0000032369046,0.004736883,0.19454962,0.072155185,0.0101978555,0.016626911,0.001096911],"about_ca_topic_score_codex":0.000048688355,"about_ca_topic_score_gemma":0.0004010646,"teacher_disagreement_score":0.6955217,"about_ca_system_score_codex":0.00024771754,"about_ca_system_score_gemma":0.0000030080328,"threshold_uncertainty_score":0.27287978},"labels":[],"label_agreement":null},{"id":"W4416031622","doi":"10.1016/j.agwat.2025.109966","title":"Rainfed spring canola yield response to changing heat and water stress in the Canadian Prairie region","year":2025,"lang":"en","type":"article","venue":"Agricultural Water Management","topic":"Nitrogen and Sulfur Effects on Brassica","field":"Biochemistry, Genetics and Molecular Biology","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":"Western University; Global Institute for Water Security; University of Calgary; University of Saskatchewan","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Canola; DSSAT; Precipitation; Climate change; Crop yield; Yield (engineering); Agriculture; Soil water; Air temperature","score_opus":0.0059564070743799566,"score_gpt":0.2066254287754582,"score_spread":0.20066902170107825,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416031622","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97843957,0.000060759732,0.000028060553,0.018293597,0.000082007355,0.00050855905,0.0000018082977,0.000007696096,0.0025779232],"genre_scores_gemma":[0.9931232,0.000006981225,0.000022974282,0.0019711554,0.000039241295,0.0000909373,0.000036502985,0.0000048844463,0.0047041234],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9990536,0.000100366735,0.00010561252,0.00026043845,0.000077921235,0.00040208353],"domain_scores_gemma":[0.99970937,0.000008861811,0.0000056534113,0.00018681066,0.000020258016,0.00006904353],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028872307,0.00013106546,0.000084111576,0.00012591452,0.0001879519,0.00010176601,0.00016450134,0.000058085807,0.0000025348131],"category_scores_gemma":[0.000009565715,0.00005945038,0.000033200737,0.00010429136,0.000017263008,0.0000055110886,0.0001798328,0.00006524791,0.000007596582],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00029021697,0.000040739134,0.005314323,0.000087114364,0.00013588317,0.00020970494,0.0023574438,0.00012896367,0.9819467,0.00032976337,0.0069583654,0.0022007609],"study_design_scores_gemma":[0.0006218627,0.00015409819,0.123967886,0.00013432528,0.000040226572,0.00001557758,0.002243537,0.00001009636,0.75348616,0.000040941708,0.11893258,0.0003527147],"about_ca_topic_score_codex":0.00414742,"about_ca_topic_score_gemma":0.10370525,"teacher_disagreement_score":0.22846057,"about_ca_system_score_codex":0.000050735598,"about_ca_system_score_gemma":0.00000775326,"threshold_uncertainty_score":0.9126498},"labels":[],"label_agreement":null},{"id":"W4416510098","doi":"10.1016/j.agwat.2025.109960","title":"Assessing the real impact of inter-provincial grain trade on water and land resources within China via a modified framework","year":2025,"lang":"en","type":"article","venue":"Agricultural Water Management","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Fundamental Research Funds for the Central Universities; Natural Science Foundation of Jiangsu Province; National Natural Science Foundation of China","keywords":"Virtual water; Arable land; Resource (disambiguation); Agricultural productivity; Irrigation; Water resources; Land management; Agriculture; Agricultural land","score_opus":0.005682304381118982,"score_gpt":0.2461729399768924,"score_spread":0.24049063559577344,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416510098","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98642355,0.0000049275077,0.0001491376,0.0015143626,0.000066388784,0.00047245802,0.000002541462,0.000023023013,0.011343599],"genre_scores_gemma":[0.99856985,0.000005728712,0.00010507383,0.00012288017,0.00002250882,0.000021442396,0.000016484086,0.0000058767646,0.0011301424],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987661,0.00012472222,0.00025175707,0.00030315385,0.00021768504,0.00033657165],"domain_scores_gemma":[0.9996365,0.00002111642,0.000046014182,0.00023711653,0.0000018252061,0.00005743075],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034231404,0.00021127958,0.00017593443,0.000028572,0.00022635396,0.00013152466,0.00023865771,0.00006542086,0.000097526274],"category_scores_gemma":[0.0000046568794,0.00007505427,0.00010316997,0.0000906567,0.00024224815,0.00024124522,0.0004817246,0.00018195175,0.000009687825],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007831929,0.0014879847,0.7439497,0.0005022449,0.0010413898,0.0001037879,0.08189605,0.021716256,0.09798712,0.0019587663,0.0031562676,0.045417227],"study_design_scores_gemma":[0.00025967904,0.00014788008,0.98665,0.00003565669,0.00004877263,0.0000018970924,0.001290867,0.00022698868,0.006179971,0.004909241,0.00010012013,0.00014892596],"about_ca_topic_score_codex":0.0013769971,"about_ca_topic_score_gemma":0.000070322196,"teacher_disagreement_score":0.2427003,"about_ca_system_score_codex":0.00028688484,"about_ca_system_score_gemma":9.939905e-7,"threshold_uncertainty_score":0.30606243},"labels":[],"label_agreement":null},{"id":"W4416510166","doi":"10.1016/j.agwat.2025.109947","title":"Estimation of soil hydraulic parameters for fine-textured soils using HYDRUS-1D coupled with PEST","year":2025,"lang":"en","type":"article","venue":"Agricultural Water Management","topic":"Soil and Unsaturated Flow","field":"Engineering","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":"Agriculture and Agri-Food Canada; University of Manitoba","funders":"Agriculture and Agri-Food Canada; Natural Sciences and Engineering Research Council of Canada; Environment and Climate Change Canada; University of Manitoba; Government of Manitoba","keywords":"Soil water; Hydraulic conductivity; Calibration; Standard deviation; Hydrology (agriculture); Coefficient of variation; Coefficient of determination; Mean squared error","score_opus":0.007644244838773724,"score_gpt":0.1978885329687387,"score_spread":0.190244288129965,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416510166","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98404706,0.00007069897,0.012408569,0.00023032809,0.00028816776,0.0006298111,0.0000054543384,0.00017840098,0.0021415404],"genre_scores_gemma":[0.9943239,0.000007316534,0.0045773867,0.00004537997,0.000023760025,0.00009216802,0.00015197314,0.000013586192,0.0007645198],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999136,0.000009373239,0.00024490987,0.00019352818,0.00013234137,0.00028387012],"domain_scores_gemma":[0.99971306,0.000019761745,0.000033174685,0.00015292487,0.000047643334,0.00003340582],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005505234,0.00021260741,0.0002167615,0.00009063182,0.0000708486,0.000051145933,0.00012924666,0.00006037781,0.000005446639],"category_scores_gemma":[0.0000024509955,0.00011389613,0.000073507916,0.00021983137,0.000022498774,0.00015388217,0.000033802055,0.000069280046,0.0000058648798],"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":[0.000033877288,0.000024565494,0.000016835244,0.0004090902,0.0003275963,0.0000035794594,0.00017452672,0.98449713,0.005523892,0.00017323934,0.0012608079,0.0075548403],"study_design_scores_gemma":[0.0011677828,0.000057797104,0.003372462,0.0002089369,0.00032123274,0.0000033033552,0.00019207766,0.87986827,0.11368742,0.0003261434,0.00047479247,0.00031978986],"about_ca_topic_score_codex":0.000044709068,"about_ca_topic_score_gemma":0.000037017355,"teacher_disagreement_score":0.10816353,"about_ca_system_score_codex":0.00006933369,"about_ca_system_score_gemma":0.000002828498,"threshold_uncertainty_score":0.46445495},"labels":[],"label_agreement":null},{"id":"W4416541147","doi":"10.1016/j.agwat.2025.110008","title":"Agroforestry buffers drought stress by enhancing hydrological redistribution in dryland apple orchards","year":2025,"lang":"en","type":"article","venue":"Agricultural Water Management","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"Key Research and Development Projects of Shaanxi Province; National Key Research and Development Program of China; China Postdoctoral Science Foundation; National Natural Science Foundation of China","keywords":"Transpiration; Intercropping; Water balance; Soil water; Monoculture; Water scarcity; Ecohydrology; Water use; Agriculture; Rainfed agriculture","score_opus":0.0023365035603033824,"score_gpt":0.17744660596733858,"score_spread":0.1751101024070352,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416541147","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9723438,0.000016648128,0.00073904084,0.0007467905,0.0001080258,0.00030655568,0.000036241814,0.000043982636,0.025658915],"genre_scores_gemma":[0.99279106,0.000024159808,0.00007150049,0.000086043074,0.000011891728,0.000059634367,0.0010143395,0.000002751774,0.0059386217],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9988854,0.000035297548,0.00022168503,0.00031697424,0.00019202594,0.0003486357],"domain_scores_gemma":[0.9997978,0.000007721526,0.000026768763,0.00012183981,0.0000034512805,0.000042411477],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012765404,0.00014898003,0.00012248156,0.000029007264,0.00010063094,0.000050047413,0.00019439767,0.000080938386,0.0001134401],"category_scores_gemma":[0.0000015512732,0.00008202563,0.00004123225,0.00020169895,0.000048421178,0.0001443074,0.0003153026,0.00012639948,0.0000857968],"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":[0.00029208115,0.00184322,0.32420132,0.00045977224,0.0005661828,0.00055393827,0.0025231065,0.12962507,0.36808226,0.018038927,0.13778533,0.016028782],"study_design_scores_gemma":[0.0036891182,0.0002153057,0.7388853,0.0003061322,0.00024358157,0.000024753923,0.0014666343,0.020072635,0.15491359,0.011269322,0.06707232,0.0018413049],"about_ca_topic_score_codex":0.00016353047,"about_ca_topic_score_gemma":0.00019489916,"teacher_disagreement_score":0.414684,"about_ca_system_score_codex":0.00025725624,"about_ca_system_score_gemma":8.0433034e-7,"threshold_uncertainty_score":0.3344908},"labels":[],"label_agreement":null},{"id":"W4416809936","doi":"10.1016/j.agwat.2025.110015","title":"Drivers of collective action in agricultural water conservation: Applying the social identity model to Iranian farmers in a wetlands basin","year":2025,"lang":"en","type":"article","venue":"Agricultural Water Management","topic":"Environmental Education and Sustainability","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Collective action; Social identity theory; Collective identity; Wetland; Identity (music); Collaborative governance; Natural resource management; Threatened species; Agent-based model","score_opus":0.011934968259576437,"score_gpt":0.24972848948570264,"score_spread":0.2377935212261262,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416809936","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9753955,0.0000012079844,0.00009060187,0.009572375,0.00008517096,0.0013369994,0.0000017032964,0.000011836839,0.013504622],"genre_scores_gemma":[0.993026,0.0000030093966,0.000114755814,0.0007536023,0.000007778854,0.00039872667,0.000027324197,0.0000028164363,0.0056659537],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998785,0.000094021576,0.00027637032,0.00029897282,0.0002568119,0.000288826],"domain_scores_gemma":[0.9998097,0.000009089012,0.000032568023,0.000105930296,0.000011107038,0.000031611457],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027688034,0.00014350202,0.00014578203,0.000065529995,0.00021453669,0.00004283385,0.00022403881,0.00004657534,0.00011942601],"category_scores_gemma":[0.000004078932,0.000068542264,0.00006115739,0.00045849022,0.00008365957,0.0003604807,0.00031990945,0.00011286593,0.000039101604],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00029608075,0.0012077515,0.6973117,0.00028429355,0.00016900076,0.000012366705,0.10169255,0.100200355,0.06958588,0.0024242173,0.020010559,0.0068052565],"study_design_scores_gemma":[0.0004302603,0.000013009568,0.95371115,0.0000111391055,0.000017079936,2.9980626e-7,0.039967712,0.00021378878,0.0035540895,0.0012104621,0.00074532296,0.00012569521],"about_ca_topic_score_codex":0.00092739676,"about_ca_topic_score_gemma":0.002633374,"teacher_disagreement_score":0.25639945,"about_ca_system_score_codex":0.0013645578,"about_ca_system_score_gemma":0.000004102666,"threshold_uncertainty_score":0.3568271},"labels":[],"label_agreement":null},{"id":"W4417076391","doi":"10.1016/j.agwat.2025.110060","title":"Impact of groundwater depth on crop coefficient: An improved evapotranspiration model","year":2025,"lang":"en","type":"article","venue":"Agricultural Water Management","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Okanagan University College; University of British Columbia, Okanagan Campus","funders":"China Scholarship Council; National Natural Science Foundation of China","keywords":"Evapotranspiration; Groundwater; Water table; Hydrology (agriculture); Groundwater model; Crop coefficient; Soil water; Crop","score_opus":0.007501877460206616,"score_gpt":0.22211329312780906,"score_spread":0.21461141566760245,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4417076391","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9669743,0.0000019964748,0.004013743,0.00008706215,0.00005625631,0.00038295845,0.000008896695,0.000037157894,0.028437616],"genre_scores_gemma":[0.9945416,0.000005169028,0.00031399928,0.000072533716,0.0000059319996,0.000026365558,0.00020024032,0.000005093378,0.004829092],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999044,0.000027081274,0.00021999025,0.00027907122,0.00018251257,0.00024734734],"domain_scores_gemma":[0.9996926,0.0000038553367,0.00003686312,0.00020999825,0.000011251441,0.000045386743],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009012787,0.00016268971,0.00011709716,0.000051324318,0.00009645986,0.000050671297,0.00020063293,0.0000483985,0.000091487964],"category_scores_gemma":[5.805967e-7,0.000079229736,0.0000969051,0.00014434855,0.000039041366,0.00022778966,0.00010027221,0.00006447358,0.000066410576],"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":[0.000038802165,0.0002748271,0.0017188027,0.00001421163,0.000063258994,0.000002005059,0.00029016542,0.941244,0.052904017,0.0006236536,0.0001396633,0.0026865914],"study_design_scores_gemma":[0.00078572,0.0004356272,0.20249586,0.000031492495,0.00011440753,0.0000019020076,0.000029884042,0.7831593,0.011232501,0.001126651,0.00025100345,0.0003356503],"about_ca_topic_score_codex":0.0002478308,"about_ca_topic_score_gemma":0.0001426982,"teacher_disagreement_score":0.20077705,"about_ca_system_score_codex":0.00019517548,"about_ca_system_score_gemma":0.0000016159721,"threshold_uncertainty_score":0.32308948},"labels":[],"label_agreement":null},{"id":"W4417273109","doi":"10.1016/j.agwat.2025.110066","title":"Assessment of empirical and physically-based approaches to simulate surface resistance for improved evapotranspiration modeling of winter wheat in semi-arid region, Morocco","year":2025,"lang":"en","type":"article","venue":"Agricultural Water Management","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Université Cadi Ayyad; Université Mohammed VI Polytechnique; Fondation OCP; Ministère de l'Enseignement Supérieur, de la Recherche Scientifique et de la Formation des Cadres; Centre National pour la Recherche Scientifique et Technique; Ontario College of Pharmacists; Institut de Recherche pour le Développement","keywords":"Evapotranspiration; Eddy covariance; Irrigation; Deficit irrigation; Vapour Pressure Deficit; Crop coefficient; Empirical modelling; Hydrology (agriculture); Irrigation scheduling; Water use","score_opus":0.02684282648389299,"score_gpt":0.2434874804268117,"score_spread":0.2166446539429187,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4417273109","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94655186,0.0000071191466,0.04962339,0.0014986633,0.000021105636,0.00075867627,0.000008802246,0.000010114335,0.0015202917],"genre_scores_gemma":[0.99395347,0.0000043689975,0.005141009,0.00007923592,0.000003030368,0.00004149489,0.00005453323,0.000003883467,0.0007189669],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99913573,0.000026410848,0.00028986752,0.00027264084,0.00011346606,0.00016187779],"domain_scores_gemma":[0.9997812,0.00001548593,0.000037703634,0.00012554211,0.000013041905,0.000027055159],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012507592,0.0001184481,0.00017158732,0.00003517636,0.00003601356,0.000017028082,0.00010841129,0.000037404618,0.0000022252289],"category_scores_gemma":[0.0000011111805,0.00007203986,0.00004813212,0.00014655282,0.000026577673,0.00010387932,0.000083768005,0.00004611013,5.0162714e-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":[0.00004500858,0.000082842605,0.004792171,0.00011460717,0.000023926177,4.9626766e-7,0.00019695875,0.9705718,0.02368264,0.00028224292,0.000033310946,0.00017396796],"study_design_scores_gemma":[0.0005887835,0.000047475554,0.032489266,0.00009075425,0.000047239322,1.0523179e-7,0.00005115617,0.9610462,0.004603056,0.00075973745,0.00014585086,0.00013037797],"about_ca_topic_score_codex":0.000034432993,"about_ca_topic_score_gemma":0.00015511122,"teacher_disagreement_score":0.04740164,"about_ca_system_score_codex":0.00009990394,"about_ca_system_score_gemma":0.0000022312868,"threshold_uncertainty_score":0.29377005},"labels":[],"label_agreement":null},{"id":"W7106159450","doi":"10.1016/j.agwat.2025.109983","title":"Quantification of water uptake by winter wheat roots under different dripline burial depths using hydrogen and oxygen stable isotopes","year":2025,"lang":"en","type":"article","venue":"Agricultural Water Management","topic":"Soil and Unsaturated Flow","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"National Natural Science Foundation of China","keywords":"Irrigation; Soil water; Moisture; Soil horizon; Drip irrigation; Water content; Winter wheat; Arid","score_opus":0.009707275099209503,"score_gpt":0.20208507233180528,"score_spread":0.1923777972325958,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7106159450","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9964906,0.00022155518,0.0010053768,0.00033167555,0.0003722396,0.00036492397,0.000008331724,0.00010165755,0.0011036429],"genre_scores_gemma":[0.9956891,0.000050897932,0.000095658404,0.000030978325,0.00004822502,0.000027111411,0.000230758,0.00001331365,0.003813975],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99899226,0.000018825947,0.00030723962,0.00024225596,0.00013278128,0.00030661974],"domain_scores_gemma":[0.9997376,0.000005034281,0.000017659982,0.0001608215,0.00003588933,0.000042960037],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005548877,0.00022400629,0.00021249798,0.000070914204,0.000073011564,0.00007819624,0.00012538712,0.00007615709,0.00004285157],"category_scores_gemma":[4.847457e-7,0.00010802678,0.000056303958,0.0000791005,0.000024891411,0.00016601529,0.00011748539,0.00007948831,0.000010088906],"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":[0.00003066072,0.00006829242,0.00040218837,0.00028709444,0.0005688263,0.0000026419204,0.0003652251,0.02186357,0.96941435,0.00017053928,0.0051985485,0.0016280602],"study_design_scores_gemma":[0.00072372844,0.000021452834,0.02688517,0.00010250589,0.00019807626,0.0000015405449,0.00039286536,0.007098556,0.95978785,0.00033007853,0.004159363,0.00029882637],"about_ca_topic_score_codex":0.00004501599,"about_ca_topic_score_gemma":0.000035980043,"teacher_disagreement_score":0.026482983,"about_ca_system_score_codex":0.000065603665,"about_ca_system_score_gemma":7.0905907e-7,"threshold_uncertainty_score":0.44052044},"labels":[],"label_agreement":null},{"id":"W7115012922","doi":"10.1016/j.agwat.2025.110064","title":"The combination of 3,4-dimethylpyrazole phosphate and alternate drip irrigation with low irrigation quotas resulted in the lowest NH3 and N2O emissions","year":2025,"lang":"en","type":"article","venue":"Agricultural Water Management","topic":"Soil Carbon and Nitrogen Dynamics","field":"Agricultural and Biological Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"Agricultural Science and Technology Innovation Program; Earmarked Fund for China Agriculture Research System; China Agricultural Research System; Youth Innovation Technology Project of Higher School in Shandong Province; Chinese Academy of Agricultural Sciences","keywords":"Drip irrigation; Agriculture; Irrigation; China; Work (physics); Five year plan; Plan (archaeology)","score_opus":0.005053581090348269,"score_gpt":0.19824138315456938,"score_spread":0.19318780206422112,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7115012922","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9912009,0.00012500145,0.0000016927686,0.0055556125,0.00005318473,0.00047144108,0.0000041221283,0.000018301984,0.0025697188],"genre_scores_gemma":[0.9988557,0.0001228142,0.00002156562,0.00016462617,0.000012978549,0.00004257966,0.0001096257,6.1839467e-7,0.00066949707],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99913466,0.000088074354,0.0002101345,0.0001991651,0.00019458852,0.00017335034],"domain_scores_gemma":[0.99968714,0.000089724104,0.000071948656,0.000061290375,0.00006317512,0.00002673387],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032527145,0.0001222192,0.00010075878,0.000015817643,0.00026853668,0.00011965899,0.00016648295,0.000038471768,0.0000035145588],"category_scores_gemma":[0.000007143715,0.000027686909,0.000022420922,0.00029168028,0.00008287748,0.00011081386,0.00008679449,0.00008417355,0.0000016223511],"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":[0.0010002835,0.0010192356,0.075698756,0.00040383372,0.0006533512,0.000051340663,0.006024046,0.00055360055,0.5193584,0.16907482,0.0021686116,0.22399373],"study_design_scores_gemma":[0.0005139486,0.0001130437,0.97384876,0.000085990796,0.000047697962,0.0000035599926,0.0021333515,0.0009014953,0.015024199,0.006505974,0.0006991115,0.00012285387],"about_ca_topic_score_codex":0.00034039497,"about_ca_topic_score_gemma":0.00091288966,"teacher_disagreement_score":0.89815,"about_ca_system_score_codex":0.000022262719,"about_ca_system_score_gemma":0.0000013179798,"threshold_uncertainty_score":0.20653942},"labels":[],"label_agreement":null}]}