{"meta":{"query_hash":"ebdbec7ee0a3","filters":{"venue":"World Environmental and Water Resources Congress 2017"},"cohort_total":14,"direct_labels_cover":0,"predictions_cover":14,"exported":14,"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/ebdbec7ee0a3","api":"https://metacan.xera.ac/api/v1/cohort?venue=World+Environmental+and+Water+Resources+Congress+2017"},"results":[{"id":"W2614346032","doi":"10.1061/9780784480595.025","title":"How Should You Be Designing Your Permeable Pavements? New ASCE Standard","year":2017,"lang":"en","type":"article","venue":"World Environmental and Water Resources Congress 2017","topic":"Geotechnical and construction materials studies","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Golder Associates (Canada)","funders":"","keywords":"Subgrade; Geotechnical engineering; Infiltration (HVAC); Subbase; Rut; Civil engineering; Engineering; Base course; Aggregate (composite); Pavement engineering; Durability; Pervious concrete; Stiffness; Environmental science; Structural engineering; Asphalt; Cement; Computer science; Materials science","score_opus":0.030285990056579195,"score_gpt":0.21781541901457221,"score_spread":0.18752942895799302,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2614346032","genre_codex":"other","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.015574027,0.015164664,0.18157972,0.18168457,0.024358239,0.00064870645,0.0017609209,0.011646639,0.5675824],"genre_scores_gemma":[0.082007974,0.016930468,0.15739337,0.022259945,0.0035585642,0.00044948488,0.0035805178,0.0020012057,0.7118185],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99261534,0.0008982817,0.00039803918,0.00034559806,0.0054332395,0.0003095104],"domain_scores_gemma":[0.98842525,0.0006597159,0.00037811496,0.0012195036,0.008231854,0.0010856544],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005771708,0.0007257817,0.0004158724,0.0010999045,0.0012006533,0.0033245508,0.0018409272,0.00232281,0.019432658],"category_scores_gemma":[0.01099184,0.00041937098,0.000498731,0.0008309749,0.0012132133,0.0042673005,0.0017382255,0.0023739755,0.016256515],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003641033,0.00014311967,0.0012353859,0.0001940404,0.000006101192,0.00024127334,0.0003863716,0.0022566072,0.0035496166,0.036629174,0.5864968,0.36882508],"study_design_scores_gemma":[0.0000027859733,0.000051166764,0.00047919282,0.0001510981,0.0000026414018,0.00016287148,0.00012324107,0.0005102922,0.0007237014,0.0039531942,0.9938216,0.000018173934],"about_ca_topic_score_codex":0.0036160531,"about_ca_topic_score_gemma":0.01044869,"teacher_disagreement_score":0.019432658,"about_ca_system_score_codex":0.0019188283,"about_ca_system_score_gemma":0.0033766332,"threshold_uncertainty_score":0.06500876},"labels":[],"label_agreement":null},{"id":"W2614378189","doi":"10.1061/9780784480595.030","title":"Engineering Education and Civil Engineering Education from the 1893 World Engineering Congress to the 125th Anniversary of ASEE (1893-2018)","year":2017,"lang":"en","type":"article","venue":"World Environmental and Water Resources Congress 2017","topic":"Engineering Education and Curriculum Development","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Engineering education; Engineering; Civil engineering; Management; Library science; Engineering management","score_opus":0.005491179774172302,"score_gpt":0.18329294873066473,"score_spread":0.17780176895649244,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2614378189","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.013869314,0.060211387,0.0013674983,0.107876815,0.041139364,0.00010967632,0.0031921102,0.00042387692,0.77181005],"genre_scores_gemma":[0.07790575,0.027234817,0.00090717693,0.012860702,0.008379884,0.00012093893,0.002338314,0.00028840377,0.869964],"study_design_codex":"not_applicable","study_design_gemma":"qualitative","domain_scores_codex":[0.998252,0.00022503569,0.000060959785,0.00017028871,0.00080481614,0.00048700694],"domain_scores_gemma":[0.9983852,0.000103439874,0.00014323986,0.00005255212,0.0005857077,0.0007298614],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016633928,0.00068142405,0.0003367598,0.0019310456,0.0037185238,0.0064386576,0.00059614127,0.0017282409,0.13702777],"category_scores_gemma":[0.0036043786,0.00022562513,0.00034420873,0.0027801977,0.0011235854,0.0032952481,0.0047005066,0.0028596949,0.035111893],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000025799658,0.00005746735,0.0017536131,0.00017851204,0.0000033982767,0.00009589613,0.00073024275,0.00010058343,0.00012883283,0.015556491,0.8373597,0.1440093],"study_design_scores_gemma":[9.483671e-7,0.000007790925,0.00288116,0.00013204927,5.5810835e-7,0.00002604135,0.0003678597,0.0000109219645,0.00003651277,0.000542116,0.9959907,0.0000033850354],"about_ca_topic_score_codex":0.008333244,"about_ca_topic_score_gemma":0.023590133,"teacher_disagreement_score":0.13702777,"about_ca_system_score_codex":0.0039206366,"about_ca_system_score_gemma":0.0052175806,"threshold_uncertainty_score":0.4584036},"labels":[],"label_agreement":null},{"id":"W2614454750","doi":"10.1061/9780784480632.034","title":"Investigating the Microbiology of Bioretention","year":2017,"lang":"en","type":"article","venue":"World Environmental and Water Resources Congress 2017","topic":"Urban Stormwater Management Solutions","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Optech (Canada)","funders":"","keywords":"Bioretention; Environmental science; Stormwater; Population; Pollutant; Nutrient; Environmental engineering; Ecology; Biology; Surface runoff","score_opus":0.015073755040054431,"score_gpt":0.20497724299748285,"score_spread":0.18990348795742842,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2614454750","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.993856,0.0008061314,0.0020066744,0.000056951743,0.000018666447,0.00007788449,0.0003052921,0.000016052765,0.0028562974],"genre_scores_gemma":[0.9889741,0.0024691382,0.005030947,0.00006269991,0.000022621402,0.00006187909,0.00054410065,0.000007526799,0.0028269787],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9996252,0.000045876022,0.000027083974,0.00007631991,0.00014137982,0.000084236446],"domain_scores_gemma":[0.9997749,0.000041957243,0.0000646066,0.000009739701,0.00008614882,0.00002261749],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000295897,0.0003888421,0.00029137285,0.0006000727,0.0003756348,0.0007763026,0.00020300032,0.0003618023,0.00044281431],"category_scores_gemma":[0.00029968945,0.00009212768,0.0002720161,0.00055252126,0.00028757946,0.0005784128,0.00040542765,0.00035057127,0.00025226682],"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":[0.000054305885,0.00009115885,0.017544705,0.00020982549,0.000009563333,0.0002353895,0.00043319308,0.00014998196,0.9720076,0.00010726346,0.000039720428,0.009117346],"study_design_scores_gemma":[0.000005199016,0.0013176218,0.16327734,0.00007812426,0.000056479505,0.0005985478,0.0020957082,0.0011289439,0.82670695,0.00022119557,0.004491012,0.000022831255],"about_ca_topic_score_codex":0.0028699574,"about_ca_topic_score_gemma":0.003950466,"teacher_disagreement_score":0.0028699574,"about_ca_system_score_codex":0.0003075923,"about_ca_system_score_gemma":0.0005497435,"threshold_uncertainty_score":0.005706489},"labels":[],"label_agreement":null},{"id":"W2614487746","doi":"10.1061/9780784480618.063","title":"Development of IDF Relations for Thailand in Consideration of the Scale-Invariance Properties of Extreme Rainfall Processes","year":2017,"lang":"en","type":"article","venue":"World Environmental and Water Resources Congress 2017","topic":"Hydrology and Drought Analysis","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Royal Golden Jubilee (RGJ) Ph.D. Programme; Thammasat University; Thailand Research Fund","keywords":"Extreme value theory; Generalized extreme value distribution; Scale invariance; Scaling; Scale (ratio); Return period; Environmental science; Meteorology; Climatology; Statistics; Mathematics; Geography; Geology; Cartography","score_opus":0.02583336368237582,"score_gpt":0.21085869064069554,"score_spread":0.18502532695831972,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2614487746","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06897318,0.00037989925,0.9242583,0.00015169971,0.000031518266,0.000108711414,0.00050372747,0.00033309773,0.0052597965],"genre_scores_gemma":[0.68331885,0.00090110296,0.31191757,0.00006334478,0.00008842615,0.00026781342,0.0013354212,0.00021477201,0.0018926875],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9993413,0.00021276034,0.000054522225,0.00016357705,0.00016000356,0.00006777555],"domain_scores_gemma":[0.99773514,0.0012847686,0.00037059002,0.0001465612,0.0003830644,0.00007981453],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020923214,0.0005190809,0.00050409255,0.0027890508,0.00040175958,0.0010415,0.0006293218,0.0004228276,0.0014922973],"category_scores_gemma":[0.0086303605,0.00031260628,0.0009717178,0.0025449102,0.00045260138,0.0015553538,0.00081523164,0.0010171391,0.00034272365],"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":[0.000070005575,0.00007530677,0.057180908,0.00032603342,0.00011723492,0.0012488039,0.0013084308,0.5836465,0.008595552,0.13679601,0.003142541,0.2074927],"study_design_scores_gemma":[0.0000044758576,0.000022172755,0.012831122,0.000036271136,0.00001751138,0.00020875146,0.00018213912,0.9602866,0.0008317806,0.02190494,0.0036353194,0.00003890171],"about_ca_topic_score_codex":0.011914966,"about_ca_topic_score_gemma":0.0076278127,"teacher_disagreement_score":0.011914966,"about_ca_system_score_codex":0.0011603743,"about_ca_system_score_gemma":0.0012022966,"threshold_uncertainty_score":0.023691237},"labels":[],"label_agreement":null},{"id":"W2614963984","doi":"10.1061/9780784480618.038","title":"Model Selection Tools for Hydrological Frequency Analysis: Some New Results","year":2017,"lang":"en","type":"article","venue":"World Environmental and Water Resources Congress 2017","topic":"Hydrology and Drought Analysis","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Moncton","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Akaike information criterion; Bayesian information criterion; Statistic; Goodness of fit; Statistics; Model selection; Bayesian probability; Probability distribution; Computer science; Plot (graphics); Focus (optics); Selection (genetic algorithm); Mathematics; Econometrics; Data mining; Artificial intelligence","score_opus":0.025562890651558732,"score_gpt":0.2405980310315613,"score_spread":0.21503514038000257,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2614963984","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0018411332,0.014637968,0.97770303,0.0027622778,0.00035359449,0.00004466638,0.00012840304,0.0007294535,0.0017994785],"genre_scores_gemma":[0.048469733,0.029264499,0.91136676,0.0016353794,0.003990108,0.00048615792,0.000618313,0.00091659516,0.003252498],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9933757,0.004405959,0.0004363464,0.00048845226,0.0011630866,0.00013034596],"domain_scores_gemma":[0.9596159,0.03526849,0.0009069954,0.0019493639,0.0019474853,0.00031172213],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.017568568,0.0027134535,0.0023263455,0.0044450443,0.0008031447,0.002646289,0.002363748,0.0019232377,0.005142523],"category_scores_gemma":[0.052499376,0.0011666091,0.0048626456,0.00475682,0.0020098141,0.004476367,0.0029843708,0.0061234394,0.0015717428],"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":[0.0001097814,0.00042836665,0.005705545,0.0012226187,0.0010190564,0.0009870663,0.0006652831,0.17006736,0.0012873656,0.2392643,0.02166747,0.5575759],"study_design_scores_gemma":[0.000056907804,0.00017117229,0.0016056382,0.00058547425,0.00017571833,0.00044327977,0.00013177085,0.67910224,0.0007029937,0.27825773,0.03861615,0.0001510017],"about_ca_topic_score_codex":0.003611249,"about_ca_topic_score_gemma":0.0023482589,"teacher_disagreement_score":0.017568568,"about_ca_system_score_codex":0.0009096763,"about_ca_system_score_gemma":0.0010048992,"threshold_uncertainty_score":0.092912614},"labels":[],"label_agreement":null},{"id":"W2615245917","doi":"10.1061/9780784480632.038","title":"Exploring the Validity of Design Storms as Tools to Size and Design Stormwater Infrastructure for Urban Sewersheds","year":2017,"lang":"en","type":"article","venue":"World Environmental and Water Resources Congress 2017","topic":"Urban Stormwater Management Solutions","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Storm; Stormwater; Computer science; Meteorology; Flow (mathematics); Urban design; Environmental science; Civil engineering; Operations research; Engineering; Surface runoff; Urban planning; Geography; Mathematics","score_opus":0.08305304195834574,"score_gpt":0.2383812263587701,"score_spread":0.15532818440042434,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2615245917","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95766234,0.00005778987,0.031012753,0.00025984456,0.000013011224,0.00016462457,0.00028810927,0.00027103073,0.010270508],"genre_scores_gemma":[0.98618233,0.000042440734,0.01278278,0.000013627891,0.0000017383549,0.000037949703,0.0001551571,0.000026503576,0.0007575038],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9981172,0.00096985337,0.00007732736,0.00015435995,0.00049254956,0.00018862447],"domain_scores_gemma":[0.995125,0.0030391025,0.0004942707,0.00051557587,0.0006976247,0.00012833416],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003905289,0.00048998324,0.00024148524,0.0006627391,0.0004970166,0.0014024562,0.0007097029,0.00046713316,0.0013616041],"category_scores_gemma":[0.009066079,0.0003362465,0.00033678132,0.00056657026,0.0010969756,0.0012813146,0.00067611184,0.0004261335,0.00014243185],"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":[0.00024900964,0.00012523714,0.04697159,0.00010206488,0.00003879299,0.00010877201,0.0007832369,0.9137555,0.0034115769,0.0079166535,0.0009792483,0.025558319],"study_design_scores_gemma":[0.00015313529,0.0010612325,0.028667806,0.000056748642,0.00005317986,0.0000427093,0.0017847084,0.94422966,0.011168163,0.0038346292,0.008895308,0.000052682393],"about_ca_topic_score_codex":0.068206124,"about_ca_topic_score_gemma":0.12408902,"teacher_disagreement_score":0.068206124,"about_ca_system_score_codex":0.005872249,"about_ca_system_score_gemma":0.003127067,"threshold_uncertainty_score":0.13561827},"labels":[],"label_agreement":null},{"id":"W2615295135","doi":"10.1061/9780784480618.030","title":"A Statistical Approach to Multisite Downscaling of Daily Precipitation Processes in the Context of Climate Change","year":2017,"lang":"en","type":"article","venue":"World Environmental and Water Resources Congress 2017","topic":"Climate variability and models","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":true,"ca_institutions":"McGill University","funders":"","keywords":"Downscaling; Precipitation; Context (archaeology); Climate change; Environmental science; Climatology; Intermittency; Scale (ratio); Climate model; Meteorology; Geography; Geology; Cartography","score_opus":0.029969180067193534,"score_gpt":0.25081981059643504,"score_spread":0.2208506305292415,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2615295135","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.008910778,0.00008113293,0.9903666,0.000082095015,0.00002546573,0.000013948347,0.0000541138,0.00011297478,0.00035292114],"genre_scores_gemma":[0.41136456,0.00041593233,0.58650637,0.00009345308,0.00018737368,0.00017122294,0.0003698775,0.00012273321,0.00076853536],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99950945,0.0002047192,0.000051114483,0.00009563359,0.000116424104,0.000022628572],"domain_scores_gemma":[0.9986217,0.00067582907,0.00022789933,0.00021799235,0.00022009655,0.000036495792],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014514516,0.00042781004,0.00046370423,0.0012358098,0.0003198796,0.0006654622,0.0008494488,0.00033207453,0.0006055367],"category_scores_gemma":[0.0050129406,0.00036960476,0.00078961987,0.001516472,0.0005785752,0.00093993807,0.0006479291,0.00086551736,0.00011825927],"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":[0.00002422992,0.000062966654,0.009543323,0.00007271718,0.00016715839,0.00010297416,0.00009206912,0.7867614,0.004833626,0.041598976,0.0008275899,0.15591303],"study_design_scores_gemma":[0.0000036984657,0.000019835059,0.0022251508,0.000004618336,0.000011429695,0.000025131701,0.000016702697,0.98316103,0.0007142396,0.012712713,0.0010937718,0.0000117237405],"about_ca_topic_score_codex":0.005436933,"about_ca_topic_score_gemma":0.007172422,"teacher_disagreement_score":0.005436933,"about_ca_system_score_codex":0.00043332283,"about_ca_system_score_gemma":0.001080063,"threshold_uncertainty_score":0.010810554},"labels":[],"label_agreement":null},{"id":"W2615341324","doi":"10.1061/9780784480595.053","title":"The Critical Role of Water Management and Reliability in the Panama Canal Expansion","year":2017,"lang":"en","type":"article","venue":"World Environmental and Water Resources Congress 2017","topic":"Logistics and Infrastructure Analysis","field":"Agricultural and Biological 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":"Stantec (Canada)","funders":"","keywords":"Reliability (semiconductor); Panama canal; Reliability engineering; Lock (firearm); Project commissioning; Set (abstract data type); Computer science; Environmental science; Engineering; Water resource management; Publishing; Structural engineering","score_opus":0.007013717495123003,"score_gpt":0.19531861663141759,"score_spread":0.18830489913629458,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2615341324","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9383226,0.0018616528,0.012003067,0.0063420483,0.000060998314,0.000075484815,0.0001153166,0.00008563851,0.04113325],"genre_scores_gemma":[0.9964902,0.00041114545,0.001402748,0.000066076485,0.000029530049,0.000013056502,0.00002002399,0.000014689259,0.0015525067],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9989729,0.000283852,0.00004480013,0.000114821065,0.00038542986,0.00019819954],"domain_scores_gemma":[0.9964688,0.0015209193,0.0008353288,0.00011719019,0.00087358075,0.00018416921],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015486077,0.0002730073,0.0002184088,0.0007491198,0.00093811465,0.0023861341,0.00033704468,0.0005113405,0.0028344523],"category_scores_gemma":[0.005492941,0.0002520538,0.00014193822,0.0008477737,0.001772169,0.0023732744,0.0012904389,0.0010388463,0.00013335158],"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":[0.00057242624,0.0002000306,0.31784326,0.0005906156,0.00012129336,0.0050435453,0.0067287944,0.11493253,0.031511772,0.14031827,0.006575518,0.37556198],"study_design_scores_gemma":[0.000039765124,0.0011873299,0.74159807,0.00038592803,0.00012782245,0.0019427753,0.01977735,0.06291325,0.014818668,0.06926426,0.08769213,0.00025268743],"about_ca_topic_score_codex":0.017911758,"about_ca_topic_score_gemma":0.021408303,"teacher_disagreement_score":0.017911758,"about_ca_system_score_codex":0.0020981808,"about_ca_system_score_gemma":0.0020554555,"threshold_uncertainty_score":0.035615027},"labels":[],"label_agreement":null},{"id":"W2615351995","doi":"10.1061/9780784480632.004","title":"Mass Transfer Coefficient and Gas Solubility","year":2017,"lang":"en","type":"article","venue":"World Environmental and Water Resources Congress 2017","topic":"Fluid Dynamics and Mixing","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Emmanuel Bible College; Regional Municipality of Waterloo","funders":"","keywords":"Aeration; Mass transfer; Mass transfer coefficient; Current (fluid); Degree (music); Range (aeronautics); Thermodynamics; Transfer function; Scale (ratio); Mechanics; Process engineering; Materials science; Physics; Engineering; Waste management","score_opus":0.006698388748872697,"score_gpt":0.1770392192289112,"score_spread":0.1703408304800385,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2615351995","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2044164,0.014503418,0.7147158,0.0025527196,0.0005721464,0.00039333585,0.0019721712,0.0022745188,0.058599543],"genre_scores_gemma":[0.9475944,0.0057180254,0.02788493,0.00028219153,0.00011541953,0.00039048452,0.00091530994,0.00023596226,0.016863199],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99945503,0.00006600351,0.000030309408,0.0001507361,0.0002369461,0.000060948332],"domain_scores_gemma":[0.9995327,0.00024480806,0.00007488694,0.000044770844,0.0000927746,0.000010147825],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005106642,0.0010355993,0.00056288874,0.0006811597,0.0003092215,0.00074471027,0.0013678435,0.0011776009,0.0024833584],"category_scores_gemma":[0.0022135486,0.0003778954,0.00089790515,0.0006147648,0.0006207491,0.0025406652,0.00064934226,0.0009352125,0.0019213348],"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":[0.00016353768,0.0002709992,0.006977953,0.0013100426,0.00010961824,0.0006114155,0.0002671201,0.5963321,0.21657151,0.07899426,0.0050972207,0.093294226],"study_design_scores_gemma":[0.000015354692,0.00019438911,0.0023286985,0.00006361321,0.00003286679,0.00044677273,0.0000440079,0.82895637,0.11348232,0.027415562,0.026941575,0.000078546436],"about_ca_topic_score_codex":0.0025872237,"about_ca_topic_score_gemma":0.0009756242,"teacher_disagreement_score":0.0025872237,"about_ca_system_score_codex":0.0009571963,"about_ca_system_score_gemma":0.00083984836,"threshold_uncertainty_score":0.008307695},"labels":[],"label_agreement":null},{"id":"W2615958445","doi":"10.1061/9780784480632.005","title":"Alleviating Geysers through Standpipes in Sewer Systems","year":2017,"lang":"en","type":"article","venue":"World Environmental and Water Resources Congress 2017","topic":"Geotechnical Engineering and Underground Structures","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"China Scholarship Council","keywords":"Body orifice; Environmental science; Cover (algebra); Engineering; Computer science; Petroleum engineering; Mechanical engineering","score_opus":0.008941902235573333,"score_gpt":0.1928840208874385,"score_spread":0.18394211865186516,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2615958445","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.987381,0.00019478137,0.011531295,0.0000632266,0.00000928481,0.000030943465,0.000031978892,0.00017976268,0.000577812],"genre_scores_gemma":[0.99700564,0.000104835206,0.0020381492,0.0000088603765,0.0000021527737,0.000013241188,0.00002401253,0.000008592769,0.0007945523],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99986315,0.000029076506,0.000006233596,0.000023378072,0.000037242728,0.000040970714],"domain_scores_gemma":[0.999864,0.000041510426,0.00003672685,0.000010071874,0.000025050815,0.000022656857],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018825944,0.00046022254,0.00044887298,0.0002238968,0.0003562324,0.00040710502,0.00035535105,0.00043019463,0.0013216712],"category_scores_gemma":[0.0003017526,0.00018976192,0.0003201386,0.00016481648,0.00032521313,0.0005401493,0.0006235883,0.00035814015,0.00016184583],"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":[0.000590259,0.0003457756,0.014887986,0.00046404582,0.00007239851,0.0008014636,0.00044402276,0.08336849,0.85586214,0.00058242085,0.00047642572,0.0421045],"study_design_scores_gemma":[0.000117109375,0.0032845703,0.070781074,0.00005491895,0.00016183796,0.00024428868,0.0012828396,0.32661498,0.59157723,0.0010867749,0.004745389,0.000048906193],"about_ca_topic_score_codex":0.0036079646,"about_ca_topic_score_gemma":0.007579766,"teacher_disagreement_score":0.0036079646,"about_ca_system_score_codex":0.00032878513,"about_ca_system_score_gemma":0.00040148848,"threshold_uncertainty_score":0.007173896},"labels":[],"label_agreement":null},{"id":"W2616220472","doi":"10.1061/9780784480595.008","title":"Water Allocation Model in the Lancing-Mekong River Basin Based on Bankruptcy Theory and Bargaining Game","year":2017,"lang":"en","type":"article","venue":"World Environmental and Water Resources Congress 2017","topic":"Water resources management and optimization","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Mekong river; Bankruptcy; Game theory; Structural basin; Computer science; Water resource management; Environmental economics; Microeconomics; Environmental science; Economics; Geology; Finance; Geomorphology","score_opus":0.009056454386640383,"score_gpt":0.1869340720720222,"score_spread":0.17787761768538182,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2616220472","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.32319558,0.0009875316,0.5945041,0.0022278111,0.00016200925,0.00023715253,0.0004459996,0.0001255908,0.07811416],"genre_scores_gemma":[0.9743143,0.00041259127,0.010051396,0.00008538558,0.00001698619,0.00016649858,0.00007313313,0.000014486706,0.014865182],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995926,0.00017104084,0.000018149118,0.00007303026,0.00005051755,0.0000947186],"domain_scores_gemma":[0.999572,0.00022894154,0.000053964213,0.000009868186,0.00006594573,0.000069337824],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008898685,0.00063480635,0.0009891842,0.00060422864,0.0008636371,0.0019166049,0.0016043978,0.0015082863,0.0058516026],"category_scores_gemma":[0.0012224063,0.00043443026,0.00072698825,0.0006705464,0.0013040849,0.001607019,0.0012620079,0.001099253,0.00026784954],"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":[0.000049255403,0.000030381945,0.00060379494,0.00003431973,0.000019830977,0.0002590136,0.00011352974,0.93606925,0.00045691183,0.059512828,0.00066953653,0.0021813286],"study_design_scores_gemma":[0.000019011639,0.000021504195,0.00013916889,0.000006582351,0.000010317884,0.000019548148,0.000060651517,0.99031353,0.000044863875,0.008956356,0.00040130687,0.000007186734],"about_ca_topic_score_codex":0.02778743,"about_ca_topic_score_gemma":0.015732804,"teacher_disagreement_score":0.02778743,"about_ca_system_score_codex":0.0022467768,"about_ca_system_score_gemma":0.0019737412,"threshold_uncertainty_score":0.05525136},"labels":[],"label_agreement":null},{"id":"W2616500248","doi":"10.1061/9780784480595.012","title":"Modeling Chlorine Residual in a Ground Water Supply Tank for a Small Community in Cold Conditions","year":2017,"lang":"en","type":"article","venue":"World Environmental and Water Resources Congress 2017","topic":"Water Systems and Optimization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"PCL Construction (Canada)","funders":"Water Resources Research Institute, North Carolina State University","keywords":"Residual; Computational fluid dynamics; Environmental science; Chlorine; Storage tank; Flow conditions; Flow (mathematics); Marine engineering; Petroleum engineering; Engineering; Environmental engineering; Computer science; Mechanics; Waste management; Chemistry; Aerospace engineering","score_opus":0.022209498651789464,"score_gpt":0.20827455975966952,"score_spread":0.18606506110788007,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2616500248","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9787273,0.00010248758,0.013764348,0.0002187605,0.00002395856,0.00007097658,0.00068210246,0.00020519589,0.0062049804],"genre_scores_gemma":[0.99328727,0.00007525756,0.0027703934,0.000018627481,0.0000032549779,0.000043116783,0.00022375191,0.000025859377,0.0035526566],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998926,0.000014286312,0.0000048651063,0.000025529676,0.000021389715,0.000041401192],"domain_scores_gemma":[0.9998499,0.00006649284,0.00001735496,0.000007742537,0.00003929578,0.000019035497],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019541664,0.00046931257,0.00042906572,0.00042008737,0.0008149531,0.0009829258,0.0008471406,0.0015854344,0.003319341],"category_scores_gemma":[0.00041063206,0.00035725167,0.0007934187,0.00039404447,0.00040169156,0.0005305325,0.00059150055,0.000545464,0.00023819557],"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":[0.00010751503,0.00008998239,0.0060695964,0.00007338051,0.00001611862,0.00034663058,0.00006019106,0.98111707,0.0083606355,0.0005115148,0.00033049315,0.002916802],"study_design_scores_gemma":[0.00001865751,0.000073754316,0.0014284938,0.000004937976,0.000012672107,0.00002138362,0.00011000161,0.9961551,0.0017355456,0.0001495972,0.0002796806,0.000010112173],"about_ca_topic_score_codex":0.1121221,"about_ca_topic_score_gemma":0.0718107,"teacher_disagreement_score":0.1121221,"about_ca_system_score_codex":0.0014564575,"about_ca_system_score_gemma":0.0021068128,"threshold_uncertainty_score":0.22293901},"labels":[],"label_agreement":null},{"id":"W2616524357","doi":"10.1061/9780784480618.039","title":"Delineation of Homogeneous Regions Based on the Seasonal Behavior of Flood Flows: An Application to Eastern Canada","year":2017,"lang":"en","type":"article","venue":"World Environmental and Water Resources Congress 2017","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":true,"ca_institutions":"Université de Moncton","funders":"","keywords":"Flood myth; Homogeneous; Seasonality; Homogeneity (statistics); Environmental science; 100-year flood; Hydrology (agriculture); Geography; Physical geography; Climatology; Meteorology; Statistics; Mathematics; Geology","score_opus":0.00923996995373511,"score_gpt":0.20819273228128618,"score_spread":0.19895276232755107,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2616524357","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.984404,0.00019975293,0.010568513,0.00014728885,0.000006033857,0.00009768176,0.0021638512,0.00035413823,0.002058662],"genre_scores_gemma":[0.9689075,0.00016042808,0.028013853,0.000024480109,0.0000036227989,0.000022177926,0.0015456406,0.00005663132,0.0012657981],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99978036,0.0000217795,0.000012336568,0.000054497195,0.00005656596,0.00007438973],"domain_scores_gemma":[0.9993142,0.00022687188,0.00005057148,0.00004134099,0.00027186042,0.000095115975],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005150818,0.00033007938,0.00031412995,0.0018836181,0.0013171674,0.0013013522,0.00046423383,0.00026969737,0.0009559213],"category_scores_gemma":[0.0017001592,0.00016185016,0.0004822265,0.0033676208,0.00042158272,0.00022518907,0.0005373704,0.00025897622,0.00006815165],"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":[0.00047009077,0.00017655709,0.65034616,0.00021261239,0.00029102628,0.0012328689,0.0023525418,0.13477002,0.015643265,0.004161754,0.0032205887,0.18712252],"study_design_scores_gemma":[0.00004956256,0.000042982007,0.6369959,0.000031673906,0.00009618743,0.0001539371,0.0028019599,0.35118225,0.0032982125,0.0012002888,0.0040891552,0.00005781644],"about_ca_topic_score_codex":0.97534764,"about_ca_topic_score_gemma":0.9822177,"teacher_disagreement_score":0.024652362,"about_ca_system_score_codex":0.007200261,"about_ca_system_score_gemma":0.0075084167,"threshold_uncertainty_score":0.052241743},"labels":[],"label_agreement":null},{"id":"W4236877627","doi":"10.1061/9780784480595.056","title":"Water Allocation Model in the Lancing-Mekong River Basin Based on Bankruptcy Theory and Bargaining Game","year":2017,"lang":"en","type":"article","venue":"World Environmental and Water Resources Congress 2017","topic":"Water resources management and optimization","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Mekong river; Water resources; Drainage basin; Water resource management; Allocative efficiency; Mainland China; Structural basin; China; Bankruptcy; Sustainable development; Game theory; Environmental science; Business; Geography; Economics; Geology; Finance; Political science","score_opus":0.009056454386640383,"score_gpt":0.1869340720720222,"score_spread":0.17787761768538182,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4236877627","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.32319558,0.0009875316,0.5945041,0.0022278111,0.00016200925,0.00023715253,0.0004459996,0.0001255908,0.07811416],"genre_scores_gemma":[0.9743143,0.00041259127,0.010051396,0.00008538558,0.00001698619,0.00016649858,0.00007313313,0.000014486706,0.014865182],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995926,0.00017104084,0.000018149118,0.00007303026,0.00005051755,0.0000947186],"domain_scores_gemma":[0.999572,0.00022894154,0.000053964213,0.000009868186,0.00006594573,0.000069337824],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008898685,0.00063480635,0.0009891842,0.00060422864,0.0008636371,0.0019166049,0.0016043978,0.0015082863,0.0058516026],"category_scores_gemma":[0.0012224063,0.00043443026,0.00072698825,0.0006705464,0.0013040849,0.001607019,0.0012620079,0.001099253,0.00026784954],"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":[0.000049255403,0.000030381945,0.00060379494,0.00003431973,0.000019830977,0.0002590136,0.00011352974,0.93606925,0.00045691183,0.059512828,0.00066953653,0.0021813286],"study_design_scores_gemma":[0.000019011639,0.000021504195,0.00013916889,0.000006582351,0.000010317884,0.000019548148,0.000060651517,0.99031353,0.000044863875,0.008956356,0.00040130687,0.000007186734],"about_ca_topic_score_codex":0.02778743,"about_ca_topic_score_gemma":0.015732804,"teacher_disagreement_score":0.02778743,"about_ca_system_score_codex":0.0022467768,"about_ca_system_score_gemma":0.0019737412,"threshold_uncertainty_score":0.05525136},"labels":[],"label_agreement":null}]}