{"meta":{"query_hash":"f9945cc1a5e2","filters":{"venue":"Journal of Water Management Modeling"},"cohort_total":457,"direct_labels_cover":0,"predictions_cover":457,"exported":457,"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/f9945cc1a5e2","api":"https://metacan.xera.ac/api/v1/cohort?venue=Journal+of+Water+Management+Modeling"},"results":[{"id":"W1012722132","doi":"10.14796/jwmm.r206-18","title":"Feasibility of a Permeable Pavement Option in SWMM for Long-term Continuous Modeling","year":2000,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Urban Stormwater Management Solutions","field":"Environmental Science","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"University of Guelph; Kerr Wood Leidal Associates (Canada)","funders":"","keywords":"Term (time); Stormwater management; Storm Water Management Model; Environmental science; Natural (archaeology); Computer science; Stormwater; Surface runoff; Ecology; Geology","score_opus":0.03844446941836909,"score_gpt":0.2589123119405497,"score_spread":0.2204678425221806,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1012722132","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":[0.6293185,0.00015518059,0.34586838,0.00034676227,0.00010205644,0.00021925142,0.0012728951,0.0012526308,0.02146435],"genre_scores_gemma":[0.9606393,0.00004904668,0.035310194,0.000028378488,0.000010588006,0.00013308045,0.00028903852,0.00007063159,0.0034697114],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998641,0.000044457636,0.0000070385818,0.000028464528,0.000023493576,0.00003243678],"domain_scores_gemma":[0.9996786,0.00014717337,0.00002278395,0.00003605943,0.000079433295,0.00003593026],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00052493595,0.0005333747,0.00046618565,0.00025500206,0.0004435033,0.0008290913,0.0011234113,0.0012480709,0.0056151245],"category_scores_gemma":[0.0011119223,0.00032384438,0.0006772791,0.0002560655,0.0003168248,0.0010020325,0.000513129,0.0007083366,0.0004542129],"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":[0.00007565254,0.00006284293,0.0011395474,0.000026668082,0.000010146854,0.000054744563,0.000018304198,0.9886602,0.0021001222,0.0018621514,0.00017976639,0.005809733],"study_design_scores_gemma":[0.000007876953,0.0000364054,0.000190228,0.0000035080395,0.0000049252717,0.0000048580637,0.000009193137,0.99828136,0.00062002573,0.00032359458,0.0005127391,0.0000053189456],"about_ca_topic_score_codex":0.020435024,"about_ca_topic_score_gemma":0.016710477,"teacher_disagreement_score":0.020435024,"about_ca_system_score_codex":0.00056573923,"about_ca_system_score_gemma":0.0010400787,"threshold_uncertainty_score":0.04063219},"labels":[],"label_agreement":null},{"id":"W1020023507","doi":"10.14796/jwmm.r220-23","title":"Complex versus Simple Stormwater Network Models - Modeling of the Keysers River Catchment","year":2004,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Urban Stormwater Management Solutions","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Stormwater; Drainage basin; Flood myth; Metropolitan area; Hydrology (agriculture); Environmental science; Catchment area; Drainage network; Drainage; Cape; Catchment hydrology; Water resource management; Surface runoff; Geography; Geology; Cartography; Geotechnical engineering; Archaeology; Ecology","score_opus":0.047706622936589206,"score_gpt":0.234700910526075,"score_spread":0.1869942875894858,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1020023507","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":[0.88767904,0.00023738126,0.09471422,0.00081921177,0.000053085656,0.00016169726,0.0016711465,0.00025774323,0.014406403],"genre_scores_gemma":[0.9828724,0.00022726842,0.011599275,0.000049335227,0.00001816124,0.00009708657,0.00034782398,0.000041911928,0.0047466494],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997919,0.00007770192,0.000011669008,0.000049526614,0.000034738754,0.00003445346],"domain_scores_gemma":[0.99933285,0.0003937537,0.000087271466,0.000045177974,0.00007141479,0.000069503345],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00047801354,0.00041114338,0.00040905204,0.00040476694,0.00034887658,0.001122678,0.0010274128,0.000857613,0.00258901],"category_scores_gemma":[0.0020244978,0.0003110888,0.00049918564,0.00072924723,0.0005369766,0.0015964434,0.00060561637,0.00051401334,0.00017088158],"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":[0.000017045073,0.000014771256,0.0010428635,0.000007508273,0.000006106133,0.000020992906,0.000022042044,0.9958812,0.00015435483,0.0016167905,0.00014591879,0.0010704575],"study_design_scores_gemma":[0.000008368838,0.0000076034503,0.0005470382,0.0000020791115,0.0000026262617,0.0000038304406,0.0000143816105,0.99816376,0.000059585676,0.00093499426,0.00025228708,0.000003424099],"about_ca_topic_score_codex":0.06487034,"about_ca_topic_score_gemma":0.060022898,"teacher_disagreement_score":0.06487034,"about_ca_system_score_codex":0.0015253847,"about_ca_system_score_gemma":0.0010934976,"threshold_uncertainty_score":0.12898552},"labels":[],"label_agreement":null},{"id":"W1020757503","doi":"10.14796/jwmm.r215-06","title":"Development of a Basement Flooding Remediation Strategy","year":2003,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Urban Stormwater Management Solutions","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Environmental remediation; Basement; Flooding (psychology); Geology; Environmental science; Environmental planning; History; Archaeology; Psychology; Contamination; Biology; Ecology","score_opus":0.031983074549491626,"score_gpt":0.22403987502041406,"score_spread":0.19205680047092244,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1020757503","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":[0.26313224,0.0002711009,0.56152934,0.003584077,0.00012406068,0.0009144326,0.0002852263,0.0022980548,0.1678615],"genre_scores_gemma":[0.8535161,0.00020892316,0.12337295,0.00019445996,0.000022117742,0.00014489691,0.0002072803,0.0000337626,0.022299614],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99977833,0.000044281274,0.000010319488,0.000029748158,0.00009000041,0.00004733037],"domain_scores_gemma":[0.99978095,0.000014069772,0.000021636997,0.000024235433,0.00012364142,0.000035465437],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003746822,0.00021637235,0.00017679165,0.0004224716,0.0003483282,0.00067862426,0.00057329907,0.0005039453,0.0048088282],"category_scores_gemma":[0.00040434502,0.00009277044,0.00017660498,0.0002396174,0.00014341062,0.00055986375,0.0005384799,0.00030106754,0.00083828415],"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":[0.00014647676,0.0008460202,0.010382391,0.00017570003,0.000037941816,0.0002819442,0.00036771927,0.07654332,0.079865485,0.07716737,0.008300277,0.74588543],"study_design_scores_gemma":[0.00030639375,0.0018311964,0.027246831,0.00013451756,0.00014798314,0.0005097933,0.0023623374,0.63527066,0.12688468,0.03863211,0.16660066,0.000072841285],"about_ca_topic_score_codex":0.00690578,"about_ca_topic_score_gemma":0.008919174,"teacher_disagreement_score":0.00690578,"about_ca_system_score_codex":0.00066134,"about_ca_system_score_gemma":0.003097081,"threshold_uncertainty_score":0.016087055},"labels":[],"label_agreement":null},{"id":"W1031038286","doi":"10.14796/jwmm.r246-02","title":"Hydrologic Connectivity for Highway Runoff Analysis at Watershed Scale","year":2013,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Urban Stormwater Management Solutions","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Surface runoff; Watershed; Environmental science; Hydrology (agriculture); Vflo; Scale (ratio); Runoff curve number; Water resource management; Geology; Geography; Computer science; Geotechnical engineering; Cartography; Ecology","score_opus":0.016155090687630075,"score_gpt":0.2093872304309862,"score_spread":0.19323213974335612,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1031038286","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":[0.60185045,0.00022275865,0.336412,0.0005199248,0.000050968694,0.00056025345,0.022447137,0.004822551,0.03311391],"genre_scores_gemma":[0.8952041,0.00015149222,0.09283031,0.000039150542,0.00005216074,0.00037036446,0.008211277,0.0003525897,0.0027884815],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998933,0.000023874032,0.000007980602,0.00002908573,0.000029537707,0.00001613587],"domain_scores_gemma":[0.99975795,0.0000824291,0.00004584214,0.000029714887,0.00005906322,0.000024904219],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021628344,0.00030915756,0.00028476163,0.0014325107,0.00053184945,0.0009348477,0.0004719048,0.00033770502,0.0066327443],"category_scores_gemma":[0.0016461522,0.00020920859,0.00039019747,0.001798327,0.000146519,0.0008560409,0.0006899004,0.0003953535,0.0007694671],"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":[0.00009673945,0.0003653723,0.23084697,0.00012491038,0.00023539914,0.00057087495,0.00031637307,0.5802528,0.007682336,0.028313162,0.015059904,0.13613507],"study_design_scores_gemma":[0.000014400653,0.000033354496,0.045927163,0.000020366264,0.00002426441,0.00009493914,0.00022716536,0.93530035,0.0008874829,0.007756736,0.009690056,0.000023670924],"about_ca_topic_score_codex":0.015316793,"about_ca_topic_score_gemma":0.024516769,"teacher_disagreement_score":0.015316793,"about_ca_system_score_codex":0.0005017581,"about_ca_system_score_gemma":0.0009078092,"threshold_uncertainty_score":0.030455291},"labels":[],"label_agreement":null},{"id":"W1033895598","doi":"10.14796/jwmm.r215-18","title":"Surges Associated with Filling of Stormwater Storage Tunnels","year":2003,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Hydraulic flow and structures","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Stormwater; Stormwater management; Surge; Flow (mathematics); Environmental science; Storm surge; Hydrology (agriculture); Geotechnical engineering; Geology; Meteorology; Surface runoff; Mechanics; Storm; Geography; Oceanography","score_opus":0.010079812260974054,"score_gpt":0.1804881292609447,"score_spread":0.17040831699997067,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1033895598","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":[0.99737954,0.000026122194,0.0013230082,0.000020728443,0.0000070307665,0.000020218631,0.00011324921,0.00010629651,0.0010038823],"genre_scores_gemma":[0.9993888,0.0000146156,0.00026834803,0.000002491786,0.000003057435,0.0000052850814,0.00009661828,0.0000030634353,0.00021768035],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998271,0.000027270864,0.000012966817,0.000014942916,0.000062276165,0.00005540098],"domain_scores_gemma":[0.99942565,0.00016704967,0.00017640967,0.000045053992,0.000095661875,0.00009015651],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023236779,0.00014935256,0.00019844364,0.00044255858,0.00030423136,0.00032190882,0.00015396236,0.00030021652,0.0012783349],"category_scores_gemma":[0.0011009328,0.0001252448,0.00019361483,0.00023918555,0.0003235111,0.00023597713,0.00033556425,0.00021227037,0.00014167765],"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":[0.0032539938,0.00051418657,0.3061856,0.0006459895,0.00008919132,0.012374516,0.002538934,0.14412,0.43066323,0.002984747,0.0050381706,0.09159155],"study_design_scores_gemma":[0.00016293518,0.004266706,0.63389367,0.00013658374,0.00007334796,0.0038844557,0.0027997664,0.25146693,0.09490619,0.0020468286,0.0062259524,0.00013655053],"about_ca_topic_score_codex":0.0012985478,"about_ca_topic_score_gemma":0.0015883854,"teacher_disagreement_score":0.0012985478,"about_ca_system_score_codex":0.00022821057,"about_ca_system_score_gemma":0.00025834166,"threshold_uncertainty_score":0.0042764544},"labels":[],"label_agreement":null},{"id":"W1035745403","doi":"10.14796/jwmm.r241-19","title":"The Perceptions of Stakeholders in Low Impact Development Planning","year":2011,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Urban Stormwater Management Solutions","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Université Laval; Toronto Metropolitan University","funders":"","keywords":"Environmental planning; Environmental resource management; Perception; Geography; Water resource management; Environmental science; Psychology","score_opus":0.0774088035873247,"score_gpt":0.25195401200424605,"score_spread":0.17454520841692134,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1035745403","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":[0.95443463,0.00015257508,0.0014703475,0.010162145,0.000070015696,0.00008439965,0.00003869105,0.000011537544,0.03357572],"genre_scores_gemma":[0.9981059,0.00008344322,0.00020895162,0.00058305473,0.0000074879913,0.000027043274,0.000016538854,0.0000040221316,0.00096349476],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.9852684,0.009931422,0.00031361604,0.00031194565,0.0020196398,0.002154943],"domain_scores_gemma":[0.9798465,0.008576802,0.0021026728,0.00032926342,0.0034822023,0.0056625498],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.012323075,0.00033774058,0.0002216982,0.0012252418,0.0075321733,0.005847216,0.000699081,0.0018425997,0.0056894775],"category_scores_gemma":[0.024547623,0.00031876902,0.00033963693,0.00092765753,0.004167089,0.003178109,0.004635265,0.003344833,0.00037384193],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004620933,0.00051213667,0.1562663,0.0002780908,0.00006420356,0.0032103849,0.76134354,0.0010117254,0.003532697,0.016544394,0.00942928,0.0473451],"study_design_scores_gemma":[0.000016883867,0.00019486001,0.02237498,0.00015441503,0.000017959932,0.00026028394,0.954721,0.00075072725,0.00040757676,0.0023614303,0.018701937,0.000038047874],"about_ca_topic_score_codex":0.016523821,"about_ca_topic_score_gemma":0.020916734,"teacher_disagreement_score":0.016523821,"about_ca_system_score_codex":0.0037261439,"about_ca_system_score_gemma":0.004462178,"threshold_uncertainty_score":0.06517148},"labels":[],"label_agreement":null},{"id":"W1038297577","doi":"10.14796/jwmm.r228-03","title":"Combined Urban and Rural Models for Integrated River Basin Management","year":2008,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Geography; Drainage basin; Environmental planning; Water resource management; Environmental science; Hydrology (agriculture); Geology; Cartography","score_opus":0.017557214139991756,"score_gpt":0.2046576090238521,"score_spread":0.18710039488386035,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1038297577","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":[0.047546465,0.0008127142,0.9129776,0.0006920424,0.00008857289,0.00008586417,0.0011092162,0.001183265,0.035504222],"genre_scores_gemma":[0.793086,0.0012079658,0.1682598,0.00022561132,0.00012363553,0.00036132822,0.0013902276,0.0005100791,0.034835264],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99975854,0.00009863267,0.000010248407,0.000048237573,0.000055873697,0.000028415012],"domain_scores_gemma":[0.9997634,0.00008514783,0.000028966557,0.000032587577,0.000055182165,0.00003469366],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00047721408,0.0005880943,0.0006091752,0.00042896022,0.00042952056,0.0010217216,0.0012385708,0.0008494112,0.007921991],"category_scores_gemma":[0.0008417114,0.0003466891,0.0006675158,0.0010041699,0.0004910153,0.001539251,0.002022852,0.00067666074,0.0008432202],"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":[0.000031735795,0.0000431685,0.00084489514,0.00003291863,0.00003712899,0.00004623982,0.000043360775,0.9539395,0.0004919583,0.031642836,0.0014984724,0.011347761],"study_design_scores_gemma":[0.000010586782,0.000012867653,0.00015545596,0.0000042815686,0.000009740267,0.000013774045,0.000015279637,0.9805047,0.00013683633,0.013943935,0.0051865345,0.0000060112857],"about_ca_topic_score_codex":0.0067391912,"about_ca_topic_score_gemma":0.010096004,"teacher_disagreement_score":0.007921991,"about_ca_system_score_codex":0.0006635724,"about_ca_system_score_gemma":0.00073062937,"threshold_uncertainty_score":0.026501715},"labels":[],"label_agreement":null},{"id":"W1039122418","doi":"10.14796/jwmm.r236-15","title":"Using SWMM 5 to Develop Wet Weather Operating Strategies in a Large Sewer System","year":2010,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Water Systems and Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Sanitary sewer; Wastewater; Combined sewer; Environmental science; Environmental engineering; Hydrology (agriculture); Sewage treatment; Civil engineering; Engineering; Water resource management; Geotechnical engineering; Stormwater; Surface runoff","score_opus":0.017464711570100818,"score_gpt":0.2281240206700292,"score_spread":0.2106593090999284,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1039122418","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":[0.9511662,0.00005151985,0.04024535,0.000121581645,0.000032716765,0.000090079324,0.0002862816,0.00042355456,0.0075825583],"genre_scores_gemma":[0.96517944,0.000028340193,0.03312218,0.000032398406,0.0000044842923,0.00007302743,0.00018692813,0.000051643998,0.0013215821],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99987173,0.00004918638,0.0000064123574,0.000019334468,0.00001886182,0.000034431247],"domain_scores_gemma":[0.9992669,0.00049769186,0.000057721267,0.000026203143,0.00012032347,0.000031139058],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006686281,0.0006770377,0.00049982057,0.00048538783,0.0005038533,0.0005659078,0.0007225333,0.00093935034,0.002798544],"category_scores_gemma":[0.0013280021,0.0006668783,0.0007220512,0.00035749903,0.00027518335,0.00045038428,0.0004020881,0.0005314699,0.00013068154],"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":[0.000025217258,0.000047810154,0.00080782967,0.000014930646,0.0000073899373,0.000017902634,0.0000131393945,0.9954483,0.00038582,0.0002485121,0.000102071186,0.0028811058],"study_design_scores_gemma":[0.000008281977,0.00002381803,0.00019511393,0.0000010838753,0.0000030258393,9.972299e-7,0.000010566557,0.999358,0.00028152572,0.000063677595,0.00005187666,0.0000020444177],"about_ca_topic_score_codex":0.062206868,"about_ca_topic_score_gemma":0.06530803,"teacher_disagreement_score":0.062206868,"about_ca_system_score_codex":0.0012895506,"about_ca_system_score_gemma":0.0015275817,"threshold_uncertainty_score":0.12368953},"labels":[],"label_agreement":null},{"id":"W108216421","doi":"10.14796/jwmm.r220-15","title":"Nonparametric Statistical Tests Comparing First Flush and Composite Samples from the National Stormwater Quality Database","year":2004,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Urban Stormwater Management Solutions","field":"Environmental Science","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"University of Alabama","keywords":"Nonparametric statistics; Environmental science; Stormwater; Statistics; Hydrology (agriculture); Computer science; Econometrics; Database; Mathematics; Surface runoff; Engineering; Geotechnical engineering","score_opus":0.07021413949741205,"score_gpt":0.28438135218576976,"score_spread":0.2141672126883577,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W108216421","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":[0.8504025,0.00056260126,0.11024534,0.0004717067,0.00046385842,0.0015800248,0.01819477,0.0010885211,0.01699073],"genre_scores_gemma":[0.9382663,0.00014952739,0.044207677,0.00019929504,0.00014955235,0.0028590378,0.01151537,0.00023717574,0.0024162135],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.97800946,0.008957125,0.001965752,0.0032380163,0.006612924,0.0012166885],"domain_scores_gemma":[0.9065934,0.075025074,0.0072618476,0.0050435793,0.004818259,0.0012578538],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01506306,0.0005346327,0.001115883,0.0021369786,0.0005773261,0.0012636279,0.0014618929,0.000973574,0.008607252],"category_scores_gemma":[0.055675082,0.0002090672,0.0010223853,0.0020722433,0.0013624291,0.0017582807,0.0010980896,0.002214934,0.0008356096],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.025692696,0.005755821,0.51929,0.0021968426,0.003768014,0.001246767,0.0028427287,0.013391699,0.02694142,0.021642972,0.034254458,0.34297666],"study_design_scores_gemma":[0.000925405,0.01649609,0.82022834,0.00024681524,0.0006066454,0.0017396179,0.004190161,0.09314788,0.02205742,0.02117741,0.019002687,0.00018159243],"about_ca_topic_score_codex":0.0011277373,"about_ca_topic_score_gemma":0.0012286105,"teacher_disagreement_score":0.01506306,"about_ca_system_score_codex":0.0007941717,"about_ca_system_score_gemma":0.0012473121,"threshold_uncertainty_score":0.079662025},"labels":[],"label_agreement":null},{"id":"W1136086799","doi":"10.14796/jwmm.r235-18","title":"Characterization of Urban Green Roofs’ Stormwater Runoff","year":2009,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Urban Heat Island Mitigation","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"University of Toronto; Toronto Metropolitan University","funders":"","keywords":"Stormwater; Surface runoff; Stormwater management; Environmental science; Green infrastructure; Green roof; Hydrology (agriculture); Geography; Environmental planning; Engineering; Geotechnical engineering; Archaeology; Ecology","score_opus":0.010563076502443479,"score_gpt":0.19360616104299655,"score_spread":0.18304308454055307,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1136086799","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":[0.99649847,0.000017469676,0.0028363008,0.0000037777725,7.873167e-7,0.0000074255963,0.00027443236,0.000022423017,0.00033889987],"genre_scores_gemma":[0.99902976,0.000018512397,0.0004362783,0.000001224151,0.0000010226466,0.0000049089567,0.000358954,0.0000046120217,0.00014467309],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9999161,0.000008075228,0.000003640582,0.000020791233,0.000033638637,0.000017784292],"domain_scores_gemma":[0.9998703,0.000039788014,0.000025630343,0.000012327305,0.00004094546,0.000010937647],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012517138,0.00014692121,0.00024109577,0.00063873257,0.00016293173,0.0003098879,0.00013756816,0.00016186852,0.00046415377],"category_scores_gemma":[0.00020357559,0.00008492272,0.00019337868,0.00061470945,0.00014372796,0.0002504624,0.00013102268,0.00012077971,0.00010073581],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005598876,0.0003124722,0.39121088,0.00016656995,0.0001892982,0.00081280066,0.00089939113,0.16394423,0.38203123,0.0010403764,0.00067233975,0.05816045],"study_design_scores_gemma":[0.000011970932,0.00018238727,0.6589511,0.00000664364,0.000040855302,0.00018178194,0.00060701184,0.25032,0.08804788,0.0005135629,0.001111082,0.000025879663],"about_ca_topic_score_codex":0.0029226274,"about_ca_topic_score_gemma":0.0033221818,"teacher_disagreement_score":0.0029226274,"about_ca_system_score_codex":0.00021432359,"about_ca_system_score_gemma":0.00011181483,"threshold_uncertainty_score":0.005811274},"labels":[],"label_agreement":null},{"id":"W1149335751","doi":"10.14796/jwmm.r228-01","title":"Interactions of Phosphorus with Anthropogenic and Engineered Particulate Matter as a Function of Mass, Number and Surface Area","year":2008,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Urban Stormwater Management Solutions","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Particulates; Environmental science; Phosphorus; Function (biology); Environmental chemistry; Atmospheric sciences; Ecology; Geology; Materials science; Chemistry; Biology; Metallurgy","score_opus":0.013654967624282914,"score_gpt":0.2035068106482395,"score_spread":0.18985184302395658,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1149335751","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":[0.99361634,0.00057290116,0.002534996,0.0002169566,0.000012889724,0.000011925798,0.00020765774,0.00006229815,0.0027640488],"genre_scores_gemma":[0.997592,0.00032111572,0.0004587552,0.00003366553,0.00000556212,0.000006012709,0.00007639776,0.000012310927,0.0014942772],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.999838,0.000038207905,0.0000050017834,0.00004115632,0.000047130186,0.00003052161],"domain_scores_gemma":[0.99954385,0.00030841833,0.00005140006,0.000020865493,0.000054298762,0.00002118783],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024314961,0.00018359296,0.0001680229,0.00017682335,0.00018391394,0.0004616428,0.0002713809,0.00030998423,0.0013857326],"category_scores_gemma":[0.0007218221,0.00013997495,0.00019692011,0.00027931583,0.0002477357,0.00036236722,0.00023522304,0.00022264804,0.00024903988],"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":[0.0030991337,0.0005473412,0.18929338,0.00041954019,0.00022960748,0.0009239453,0.00039388216,0.03689081,0.7060613,0.0032850464,0.0020893374,0.05676668],"study_design_scores_gemma":[0.000102338214,0.0023619977,0.3054489,0.000021209145,0.00015858073,0.00076623185,0.0006995539,0.17386381,0.5017231,0.0066664554,0.008102142,0.000085660875],"about_ca_topic_score_codex":0.004693331,"about_ca_topic_score_gemma":0.0038616094,"teacher_disagreement_score":0.004693331,"about_ca_system_score_codex":0.00033841727,"about_ca_system_score_gemma":0.00026550886,"threshold_uncertainty_score":0.009332001},"labels":[],"label_agreement":null},{"id":"W1238124476","doi":"10.14796/jwmm.r225-21","title":"Allocating RDII Using Footing Drain Flow and Other Information","year":2006,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Urban Stormwater Management Solutions","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Flow (mathematics); Geotechnical engineering; Environmental science; Computer science; Geology; Business; Mechanics; Physics","score_opus":0.01458555638331972,"score_gpt":0.2037830510358559,"score_spread":0.18919749465253619,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1238124476","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":[0.30723697,0.00029110987,0.6516957,0.0005904296,0.00013730372,0.0003447851,0.0020216024,0.0035696013,0.03411247],"genre_scores_gemma":[0.93447703,0.0001182651,0.054419443,0.000103442675,0.000030790365,0.000097661854,0.0007675004,0.00030130867,0.009684498],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99932003,0.0001284533,0.000045318462,0.00022435689,0.00010834777,0.00017351232],"domain_scores_gemma":[0.9987507,0.0005397006,0.00015286879,0.00019260767,0.00027776454,0.00008638668],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011195611,0.0006797804,0.0008453812,0.00095275254,0.00037687403,0.0019474317,0.0009608705,0.0005359884,0.0059953975],"category_scores_gemma":[0.003559423,0.00066377927,0.00054680445,0.0015549302,0.00036511858,0.002355177,0.0006256227,0.00059382926,0.0011600124],"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":[0.00016522,0.00018901385,0.017118972,0.000068673704,0.00007463608,0.000042404736,0.0001338721,0.8545474,0.0054066717,0.0072457525,0.0029855955,0.11202181],"study_design_scores_gemma":[0.000018918747,0.00004660818,0.0039827977,0.00000939713,0.000029166822,0.000015649783,0.00005529878,0.98458797,0.004760429,0.0036795847,0.0027857625,0.000028347313],"about_ca_topic_score_codex":0.019595508,"about_ca_topic_score_gemma":0.02848014,"teacher_disagreement_score":0.019595508,"about_ca_system_score_codex":0.0022189948,"about_ca_system_score_gemma":0.0016126797,"threshold_uncertainty_score":0.0389629},"labels":[],"label_agreement":null},{"id":"W132216341","doi":"10.14796/jwmm.r228-06","title":"Minimizing Erosion Hazards in a Dynamic River System","year":2008,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Hydrology and Sediment Transport Processes","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Kingston Health Sciences Centre; Toronto and Region Conservation Authority","funders":"","keywords":"Erosion; Flooding (psychology); Hydrology (agriculture); Environmental science; Port (circuit theory); Geology; Hazard; Geotechnical engineering; Geomorphology; Engineering","score_opus":0.011836694894535461,"score_gpt":0.20534726723268168,"score_spread":0.19351057233814623,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W132216341","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":[0.9629416,0.00006600582,0.026894787,0.00018098803,0.000008696874,0.000059199905,0.00012920206,0.00012635204,0.009593099],"genre_scores_gemma":[0.99475646,0.000042135376,0.003762621,0.0000132118585,0.0000031323505,0.0000108289705,0.000053690925,0.00001134254,0.001346648],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999754,0.00004032746,0.000006933825,0.000036728485,0.0000450804,0.000117015115],"domain_scores_gemma":[0.9996087,0.00007816926,0.000069818074,0.000027339556,0.00008072118,0.00013537683],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002757233,0.00032314216,0.00044458464,0.00056929793,0.0013524817,0.0012932817,0.0007921065,0.00040799764,0.00126061],"category_scores_gemma":[0.0008351492,0.00039588453,0.00020410465,0.00067868934,0.00069474865,0.000686315,0.001122631,0.00025605402,0.000073369425],"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":[0.00016429825,0.00011308444,0.04089714,0.000040937415,0.00006634553,0.00059742876,0.0002922722,0.92348623,0.007029496,0.0049083107,0.0012913842,0.021113168],"study_design_scores_gemma":[0.00006452153,0.00020314367,0.027971378,0.000010949277,0.00007407059,0.00014858013,0.0011332794,0.961018,0.0012963192,0.0044841054,0.0035587638,0.000036965055],"about_ca_topic_score_codex":0.23276085,"about_ca_topic_score_gemma":0.46652704,"teacher_disagreement_score":0.23276085,"about_ca_system_score_codex":0.0026931253,"about_ca_system_score_gemma":0.0028891908,"threshold_uncertainty_score":0.46281207},"labels":[],"label_agreement":null},{"id":"W1419981903","doi":"10.14796/jwmm.r207-06","title":"Zero Discharge Stormwater Management (or Development Expediency Meets Sustainable Development)","year":2001,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Urban Stormwater Management Solutions","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Stormwater management; Sustainable development; Low-impact development; Environmental planning; Stormwater; Zero (linguistics); Environmental science; Political science; Surface runoff","score_opus":0.02125237198921463,"score_gpt":0.22315484281595438,"score_spread":0.20190247082673976,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1419981903","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":[0.043031532,0.0054081725,0.09864104,0.017987195,0.0013466552,0.00024356686,0.00066835695,0.0013350277,0.8313385],"genre_scores_gemma":[0.47288564,0.011429732,0.08731587,0.0045179892,0.0005611065,0.0002119126,0.0009041962,0.00039130548,0.4217823],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99942786,0.00007500252,0.000027707087,0.000055005625,0.00031138357,0.00010296965],"domain_scores_gemma":[0.99986255,0.000017323364,0.00003181891,0.000017906998,0.000042300755,0.000028088549],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000420112,0.00029379997,0.00016647189,0.0003549957,0.0005914202,0.0027902965,0.00040028125,0.00069236715,0.013043723],"category_scores_gemma":[0.00061001704,0.00012178866,0.00014814072,0.0006815851,0.0008513716,0.0015435824,0.0017500093,0.0005935574,0.002206661],"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":[0.000038614282,0.0000744067,0.002810267,0.0003411062,0.000010999309,0.00018019951,0.00069892197,0.0045773913,0.0058254413,0.38895798,0.13887313,0.45761153],"study_design_scores_gemma":[0.00001104229,0.00006295629,0.0016991952,0.00010107471,0.00000723694,0.000116624644,0.00034470583,0.0021860525,0.001594965,0.03947129,0.9543953,0.000009495213],"about_ca_topic_score_codex":0.00504154,"about_ca_topic_score_gemma":0.0155420285,"teacher_disagreement_score":0.013043723,"about_ca_system_score_codex":0.0013883878,"about_ca_system_score_gemma":0.0032495244,"threshold_uncertainty_score":0.043635607},"labels":[],"label_agreement":null},{"id":"W1466900284","doi":"10.14796/jwmm.r207-19","title":"Sizing a New CSO Storage Tank using Continuous SWMM","year":2001,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Urban Stormwater Management Solutions","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Hamilton Regional Laboratory Medicine Program","funders":"","keywords":"Sizing; Environmental science; Computer science; Chemistry","score_opus":0.03135556946739108,"score_gpt":0.23374661085878973,"score_spread":0.20239104139139866,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1466900284","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":[0.27064985,0.00018963907,0.69173646,0.00045381876,0.00027075934,0.0004383579,0.0012542552,0.0051651485,0.029841695],"genre_scores_gemma":[0.8436238,0.000047813108,0.14539842,0.00006684409,0.000021367137,0.00014710434,0.00030816064,0.0001242761,0.010262147],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998696,0.000015562726,0.000009721979,0.000034575856,0.000050106042,0.000020408883],"domain_scores_gemma":[0.9997774,0.0000493998,0.000029639954,0.00003938274,0.00008227559,0.000021991533],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021482875,0.0005554132,0.00051935954,0.00041126,0.0005860424,0.0012941097,0.0011054334,0.0005127256,0.009672642],"category_scores_gemma":[0.00041787428,0.00036798118,0.00044970022,0.0005803896,0.00024963016,0.0011400507,0.0006381974,0.00054686674,0.00094251544],"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":[0.0005521386,0.0001829091,0.0030017325,0.00022364811,0.000057194156,0.000107693384,0.00011102985,0.6554937,0.09353615,0.004950021,0.0055605955,0.23622324],"study_design_scores_gemma":[0.00006257837,0.00011186207,0.0009267799,0.000006907364,0.00002432211,0.000024970634,0.000040965955,0.971555,0.020712912,0.0008765321,0.0056356112,0.00002141097],"about_ca_topic_score_codex":0.0128269605,"about_ca_topic_score_gemma":0.023548996,"teacher_disagreement_score":0.0128269605,"about_ca_system_score_codex":0.001233385,"about_ca_system_score_gemma":0.0018952911,"threshold_uncertainty_score":0.03235823},"labels":[],"label_agreement":null},{"id":"W1495359447","doi":"10.14796/jwmm.r206-04","title":"Software Engineering Issues in the Design of an Upwardly-Complex Water Network Analysis Program","year":2000,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Water Systems and Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Sultan Qaboos University","keywords":"Graphical user interface; Computer science; Software; Software engineering; State (computer science); Systems engineering; Operating system; Engineering; Programming language","score_opus":0.018406737959913787,"score_gpt":0.2215831031968388,"score_spread":0.203176365236925,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1495359447","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":[0.019589972,0.0000722454,0.97139627,0.00027855564,0.000018958319,0.0001756356,0.000039391078,0.0041544214,0.0042745564],"genre_scores_gemma":[0.15173592,0.00016836118,0.8433043,0.00012694966,0.000018668872,0.00036231388,0.00023983506,0.0012636378,0.0027800493],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99800056,0.0009147207,0.00016508407,0.00018615554,0.00060686085,0.00012651425],"domain_scores_gemma":[0.99075437,0.006605863,0.00033655425,0.0006713167,0.0014339092,0.00019791976],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005471332,0.00061193114,0.00039228122,0.0007964384,0.00077721605,0.0028091006,0.0015674797,0.00071719446,0.0037982534],"category_scores_gemma":[0.015780272,0.0008806718,0.00072816946,0.0007442077,0.00089052325,0.0022017162,0.0013049813,0.0014867953,0.0009209601],"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":[0.00046361992,0.00040578266,0.008546952,0.0005395843,0.0001528771,0.0008299479,0.0022794083,0.3673826,0.025723029,0.1272524,0.0077877254,0.4586362],"study_design_scores_gemma":[0.00013237064,0.00025041847,0.0009936268,0.0001858781,0.000071501156,0.00029596436,0.00028085633,0.90342164,0.015259311,0.036895152,0.042167544,0.0000456542],"about_ca_topic_score_codex":0.0024375187,"about_ca_topic_score_gemma":0.0030026368,"teacher_disagreement_score":0.005471332,"about_ca_system_score_codex":0.0008047647,"about_ca_system_score_gemma":0.0021369308,"threshold_uncertainty_score":0.028935552},"labels":[],"label_agreement":null},{"id":"W1504881664","doi":"10.14796/jwmm.r208-09","title":"Quantifying the Stormwater Pollutant Reduction Benefits of Traditional Public Works Maintenance Practices","year":2002,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Urban Stormwater Management Solutions","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Stormwater; Stormwater management; Reduction (mathematics); Environmental planning; Pollutant; Environmental science; Low-impact development; Business; Water resource management; Surface runoff; Chemistry; Mathematics","score_opus":0.14049150164061572,"score_gpt":0.24910734704745688,"score_spread":0.10861584540684116,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1504881664","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":[0.9994906,0.0000058665937,0.00006470722,0.000017782711,5.403248e-7,0.00001136795,0.000075254065,0.0000024230437,0.00033141076],"genre_scores_gemma":[0.99899286,0.000012219777,0.00040982707,0.0000075300877,0.0000018420922,0.000014274122,0.000117432035,0.0000012079514,0.00044285704],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999411,0.00020715185,0.000024227133,0.000108834334,0.00016558087,0.000083234845],"domain_scores_gemma":[0.99879265,0.0004837875,0.00025146684,0.00007641469,0.00030558967,0.000090063666],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000601776,0.00029987382,0.00023244445,0.00049109326,0.0005587017,0.00061665056,0.00052318594,0.00048751198,0.0011398157],"category_scores_gemma":[0.0017125591,0.0001608351,0.00036199996,0.00084889494,0.00030638443,0.0006079476,0.00028683824,0.0002707178,0.00012441231],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0031725115,0.0041099405,0.8449562,0.00015082907,0.0005277803,0.0003622811,0.001124819,0.04639872,0.03529497,0.00079457124,0.0008104499,0.062296946],"study_design_scores_gemma":[0.00011738073,0.0047019715,0.94908744,0.000008663978,0.00029579503,0.00004185922,0.0016349404,0.035749737,0.0072549833,0.00022466212,0.0008649436,0.0000175357],"about_ca_topic_score_codex":0.08699165,"about_ca_topic_score_gemma":0.2702973,"teacher_disagreement_score":0.08699165,"about_ca_system_score_codex":0.0024031491,"about_ca_system_score_gemma":0.001078055,"threshold_uncertainty_score":0.17297065},"labels":[],"label_agreement":null},{"id":"W1535288574","doi":"10.14796/jwmm.c389","title":"Application of PCSWMM to Assess Wastewater Treatment and Urban Flooding Scenarios in Phnom Penh, Cambodia: A Tool to Support Eco-City Planning","year":2015,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Urban Stormwater Management Solutions","field":"Environmental Science","cited_by":33,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Gwangju Institute of Science and Technology","keywords":"Flooding (psychology); Environmental planning; Urban planning; Water resource management; Wastewater; Geography; Environmental science; Civil engineering; Environmental engineering; Engineering","score_opus":0.05962603110583704,"score_gpt":0.2749166890145483,"score_spread":0.21529065790871127,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1535288574","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":[0.988715,0.00003147601,0.0040585096,0.00012479923,0.0000063972952,0.00013194617,0.0016901855,0.00012668838,0.0051150452],"genre_scores_gemma":[0.99367285,0.000037312544,0.004727259,0.0000135335185,0.000001467549,0.00011243841,0.0005211646,0.000011552175,0.0009024842],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99990046,0.00003985887,0.00000743848,0.000017481887,0.000014836416,0.000020011532],"domain_scores_gemma":[0.9996768,0.00019293654,0.000032392963,0.00002231865,0.00005183287,0.00002370693],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004167769,0.00053961744,0.00038691857,0.00055898563,0.000438375,0.00060201465,0.0005399063,0.00084119866,0.0024014474],"category_scores_gemma":[0.00078569626,0.00028688824,0.00039306245,0.00070271664,0.00025480348,0.00045485413,0.00046392708,0.00046692239,0.00013186708],"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":[0.000105426705,0.00011759696,0.027856618,0.00009115042,0.00004552258,0.00019111077,0.00014039631,0.9594509,0.0018392699,0.0007612457,0.0005211737,0.008879513],"study_design_scores_gemma":[0.000026380563,0.00009520303,0.011529493,0.000011585567,0.00001326049,0.000014201149,0.00025982584,0.9861822,0.001153942,0.0002905577,0.0004115176,0.000011810975],"about_ca_topic_score_codex":0.13605021,"about_ca_topic_score_gemma":0.10870252,"teacher_disagreement_score":0.13605021,"about_ca_system_score_codex":0.0023834489,"about_ca_system_score_gemma":0.0013007759,"threshold_uncertainty_score":0.27051663},"labels":[],"label_agreement":null},{"id":"W1536583794","doi":"10.14796/jwmm.r245-07","title":"Modeling Rain Garden LID Impacts on Sewer Overflows","year":2012,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Urban Stormwater Management Solutions","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Combined sewer; Environmental science; Hydrology (agriculture); Storm; Water resource management; Storm Water Management Model; Stormwater; Environmental engineering; Meteorology; Geography; Engineering; Surface runoff; Geotechnical engineering; Ecology","score_opus":0.024370460264745417,"score_gpt":0.23371254222567694,"score_spread":0.20934208196093151,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1536583794","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":[0.97132385,0.000089652,0.021911496,0.00006280914,0.0000142313465,0.000065194974,0.00074507244,0.00035658394,0.00543116],"genre_scores_gemma":[0.99445844,0.00008564415,0.00388326,0.000008542288,0.0000022775469,0.00003279178,0.00028696898,0.000020603991,0.001221534],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998192,0.000038081394,0.000008862515,0.000038041682,0.000035523968,0.00006039559],"domain_scores_gemma":[0.9997081,0.00014824662,0.000049747163,0.000017559307,0.000048478723,0.00002789911],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031116564,0.000584782,0.00045647318,0.0003934754,0.00036639057,0.000763703,0.0005277198,0.0007133051,0.0015929921],"category_scores_gemma":[0.00092182483,0.0004029196,0.0006098915,0.00048328718,0.00032985385,0.00067672227,0.0006530088,0.00039443478,0.0001192276],"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":[0.000037356862,0.000029732746,0.005816315,0.000019854768,0.0000099689905,0.000057653993,0.000019150933,0.9899856,0.0012735901,0.0004723902,0.00013253509,0.002145919],"study_design_scores_gemma":[0.000015259311,0.000033611606,0.0032296188,0.0000039946776,0.000013193913,0.000007319501,0.00004406204,0.994046,0.0019838037,0.0003158354,0.00030164656,0.0000056597305],"about_ca_topic_score_codex":0.041941855,"about_ca_topic_score_gemma":0.03582131,"teacher_disagreement_score":0.041941855,"about_ca_system_score_codex":0.0015977102,"about_ca_system_score_gemma":0.0012388671,"threshold_uncertainty_score":0.08339542},"labels":[],"label_agreement":null},{"id":"W1541428853","doi":"10.14796/jwmm.r225-03","title":"Applying Stormwater Management Concepts in Tropical Countries","year":2006,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Urban Stormwater Management Solutions","field":"Environmental Science","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Stormwater management; Stormwater; Environmental planning; Tropics; Geography; Water resource management; Environmental science; Environmental resource management; Business; Surface runoff; Ecology","score_opus":0.011035918316459236,"score_gpt":0.22306819455336432,"score_spread":0.2120322762369051,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1541428853","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":[0.21925445,0.008252935,0.40419737,0.016511502,0.0005293341,0.00047190487,0.0010217855,0.00022124697,0.34953943],"genre_scores_gemma":[0.90446705,0.012709869,0.066280596,0.00067043625,0.00019474335,0.00033931888,0.0001980878,0.00006810081,0.015071898],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9995365,0.0002462453,0.00003382808,0.000046441633,0.000081086306,0.00005586608],"domain_scores_gemma":[0.999796,0.000059616894,0.000050963085,0.000022594984,0.000052281714,0.000018558072],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008679806,0.0004237306,0.00024285559,0.0006591053,0.0007157861,0.0016523792,0.00057086116,0.00046033395,0.0036208148],"category_scores_gemma":[0.0010754137,0.00017166122,0.0004135289,0.0015423291,0.0015585597,0.0020857023,0.0012582114,0.00085694116,0.00028570092],"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":[0.000023448643,0.000047064295,0.0028675038,0.00035865032,0.000036155994,0.00044131535,0.0019766472,0.12377326,0.001090144,0.8009757,0.006849219,0.06156086],"study_design_scores_gemma":[0.00007375871,0.00026019037,0.0060475166,0.0008268021,0.00007065598,0.0005213178,0.01227045,0.12402509,0.0028607924,0.6040099,0.2489509,0.000082510494],"about_ca_topic_score_codex":0.014681316,"about_ca_topic_score_gemma":0.0139032295,"teacher_disagreement_score":0.014681316,"about_ca_system_score_codex":0.0014398504,"about_ca_system_score_gemma":0.0018463781,"threshold_uncertainty_score":0.029191732},"labels":[],"label_agreement":null},{"id":"W1554506217","doi":"10.14796/jwmm.r207-09","title":"Water Quality Management using a Fuzzy Inference System","year":2001,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Water Quality Monitoring Technologies","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Fuzzy inference system; Fuzzy inference; Inference; Adaptive neuro fuzzy inference system; Water quality; Fuzzy logic; Quality (philosophy); Computer science; Fuzzy control system; Petroleum engineering; Environmental science; Engineering; Artificial intelligence; Ecology","score_opus":0.0826521859099599,"score_gpt":0.3036572494755633,"score_spread":0.22100506356560337,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1554506217","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":[0.0257587,0.0002815758,0.9658432,0.00021210554,0.00007687091,0.00014161233,0.00015381463,0.0022551522,0.0052769864],"genre_scores_gemma":[0.78790945,0.00027267032,0.20798665,0.000112502894,0.000070200105,0.00026681193,0.00021923763,0.000034450564,0.003128074],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99947995,0.00008229953,0.00005239374,0.0001525419,0.0001883835,0.00004449314],"domain_scores_gemma":[0.9993967,0.00021914137,0.00007150734,0.000056082452,0.00022995885,0.000026630614],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010023506,0.0004822226,0.0007282166,0.00064143474,0.0009459345,0.0013854785,0.0010973796,0.0010440561,0.0027157888],"category_scores_gemma":[0.0020481076,0.0002799808,0.0005468644,0.0005526993,0.0004446085,0.0009117433,0.0005204662,0.00080492574,0.0006066852],"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":[0.00028401613,0.00022872127,0.0026938787,0.00019821757,0.0001375995,0.00020143739,0.00015128456,0.70054865,0.014822041,0.008632427,0.0024719196,0.2696298],"study_design_scores_gemma":[0.000029025136,0.000059322057,0.0003527094,0.000015062581,0.000037557842,0.00002220787,0.000008874016,0.9944729,0.0017026099,0.0021843968,0.001102013,0.0000132741725],"about_ca_topic_score_codex":0.01631996,"about_ca_topic_score_gemma":0.010967416,"teacher_disagreement_score":0.01631996,"about_ca_system_score_codex":0.00097398536,"about_ca_system_score_gemma":0.0011576049,"threshold_uncertainty_score":0.03244996},"labels":[],"label_agreement":null},{"id":"W1558781237","doi":"10.14796/jwmm.r236-27","title":"Forensic Analysis of Time Series","year":2010,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Time Series Analysis and Forecasting","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Series (stratigraphy); Computer science; SCADA; Time series; Data mining; Data science; Engineering; Geology; Machine learning; Paleontology; Electrical engineering","score_opus":0.009917902922270976,"score_gpt":0.20534363006680528,"score_spread":0.1954257271445343,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1558781237","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":[0.047478665,0.0018484427,0.9397918,0.0006768242,0.00027110984,0.00014713008,0.00156073,0.0011453363,0.007079983],"genre_scores_gemma":[0.6162903,0.0034349572,0.3724284,0.00023998616,0.00058792095,0.0002711369,0.0034230505,0.0001669012,0.0031574194],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9977028,0.00073219056,0.00021560016,0.0004297651,0.0007699192,0.0001498279],"domain_scores_gemma":[0.9911964,0.004553946,0.0010032771,0.0018493814,0.0012417237,0.00015527166],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0031488203,0.00069461484,0.0007360739,0.0055254693,0.0006646988,0.001657235,0.0008400668,0.0008428403,0.0028682167],"category_scores_gemma":[0.016112342,0.0002287733,0.00075009844,0.0035402942,0.00091378577,0.001893114,0.0013503677,0.0009718173,0.0008237812],"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":[0.0005974466,0.0002528512,0.0145213045,0.0007059521,0.00030209182,0.0017056611,0.00086400623,0.045270473,0.023335896,0.124934204,0.008250469,0.77925974],"study_design_scores_gemma":[0.000040362524,0.00027370636,0.015915327,0.00034817297,0.0001365552,0.00203581,0.00096398767,0.7440214,0.022120258,0.18517277,0.028861668,0.00010997631],"about_ca_topic_score_codex":0.0005863344,"about_ca_topic_score_gemma":0.00037126543,"teacher_disagreement_score":0.0055254693,"about_ca_system_score_codex":0.0003663284,"about_ca_system_score_gemma":0.00075245457,"threshold_uncertainty_score":0.016652763},"labels":[],"label_agreement":null},{"id":"W1560495772","doi":"10.14796/jwmm.r227-05","title":"Mechanisms for Stormwater Surges in Vertical Shafts","year":2007,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Water Systems and Optimization","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Stormwater; Storm surge; Stormwater management; Surge; Business; Environmental science; Geology; Surface runoff; Oceanography; Storm; Geomorphology","score_opus":0.01422317055514438,"score_gpt":0.2119419798104099,"score_spread":0.19771880925526553,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1560495772","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":[0.9335796,0.0007829496,0.048834983,0.0010119177,0.00018673111,0.0001741912,0.00019201275,0.0009499408,0.014287696],"genre_scores_gemma":[0.9974962,0.0001356844,0.0006791885,0.000015908556,0.000024165247,0.0000159737,0.000023725663,0.0000101258165,0.0015990665],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99984217,0.000013147357,0.000008699615,0.000024451061,0.000045038996,0.00006646138],"domain_scores_gemma":[0.99958843,0.000098259436,0.00016413965,0.00003337286,0.00006212122,0.0000537337],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028928163,0.00038259907,0.0003460663,0.00063822814,0.0005806252,0.00062905374,0.0007247736,0.00062577,0.007233729],"category_scores_gemma":[0.0007307742,0.00042756237,0.00043079027,0.00020453772,0.0008632117,0.0007733521,0.00072587095,0.0003718405,0.00066340645],"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":[0.0014342386,0.0007467251,0.033236347,0.0010566411,0.00014041433,0.008035934,0.0013584623,0.19422172,0.58283085,0.11948764,0.0073430426,0.050107975],"study_design_scores_gemma":[0.000669677,0.0015132044,0.06430552,0.0001297817,0.00007350268,0.0020166468,0.0014198589,0.82106715,0.061716165,0.039615665,0.0073175635,0.0001553251],"about_ca_topic_score_codex":0.0016109669,"about_ca_topic_score_gemma":0.0009997641,"teacher_disagreement_score":0.007233729,"about_ca_system_score_codex":0.00062618847,"about_ca_system_score_gemma":0.00031599525,"threshold_uncertainty_score":0.024199247},"labels":[],"label_agreement":null},{"id":"W1588516668","doi":"10.14796/jwmm.r246-25","title":"Innovations in CSO and SSO Long Term Control Plans","year":2013,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Urban Stormwater Management Solutions","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Combined sewer; Term (time); Sanitary sewer; Control (management); Environmental science; Environmental engineering; Computer science; Stormwater; Ecology","score_opus":0.01277982812718055,"score_gpt":0.2047632700044875,"score_spread":0.19198344187730693,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1588516668","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":[0.13893536,0.0008284523,0.54083174,0.0065133804,0.00027190716,0.0017276591,0.00073666865,0.0026412671,0.3075136],"genre_scores_gemma":[0.5047497,0.0012461259,0.43914816,0.00051120896,0.00008734767,0.00083336805,0.0010537764,0.0002867007,0.05208352],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9934111,0.0023426139,0.00036401767,0.00076567876,0.002697335,0.00041922517],"domain_scores_gemma":[0.994601,0.0018361203,0.00045899348,0.0010935451,0.0016618009,0.00034852294],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005778581,0.00047922367,0.00017981921,0.0014930064,0.0010669084,0.00379608,0.0020686206,0.000869459,0.006593163],"category_scores_gemma":[0.007311304,0.00052341184,0.00048493297,0.0021827144,0.0015280182,0.0037407933,0.002410637,0.0018913696,0.0011350347],"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":[0.00009699133,0.00068832113,0.008110092,0.0001964083,0.000020170928,0.00020332515,0.004056063,0.043376025,0.004489355,0.21819557,0.018508215,0.7020595],"study_design_scores_gemma":[0.000108461194,0.0009391939,0.012432554,0.0004068092,0.000048681744,0.00041077303,0.007217905,0.08749097,0.012152954,0.05262161,0.8260207,0.00014936531],"about_ca_topic_score_codex":0.015306081,"about_ca_topic_score_gemma":0.020412754,"teacher_disagreement_score":0.015306081,"about_ca_system_score_codex":0.0041972683,"about_ca_system_score_gemma":0.0073740724,"threshold_uncertainty_score":0.030560434},"labels":[],"label_agreement":null},{"id":"W1589107208","doi":"10.14796/jwmm.r208-15","title":"Combined Modeling of a Flume-Gravel-Trench System and Surrounding Unsaturated Soils","year":2002,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Geotechnical Engineering and Soil Stabilization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Trench; Flume; Soil water; Environmental science; Hydrology (agriculture); Geology; Geotechnical engineering; Soil science","score_opus":0.015989410929404,"score_gpt":0.18121559036423607,"score_spread":0.16522617943483206,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1589107208","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":[0.94854593,0.00023381523,0.022893412,0.00040139083,0.000051112755,0.000061468636,0.0014294749,0.00034357214,0.026039805],"genre_scores_gemma":[0.98948777,0.00009722453,0.0019857045,0.00003460949,0.000011223558,0.00004062096,0.000280471,0.0000317583,0.008030703],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998381,0.000031999618,0.0000057797647,0.000041936295,0.000025022995,0.000057200305],"domain_scores_gemma":[0.9998116,0.00006510365,0.000023101675,0.000012731387,0.000051354877,0.000036161902],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016815336,0.0006243504,0.0006568218,0.00048675574,0.00077136705,0.0014806625,0.0012839277,0.001851802,0.0042743613],"category_scores_gemma":[0.00046346072,0.00046924906,0.0005790463,0.00070560724,0.0006778525,0.001105384,0.00092709303,0.00058515667,0.0004298454],"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":[0.000018434668,0.00002403981,0.0015058276,0.0000080659465,0.000009782552,0.000049519356,0.000014970109,0.9962212,0.0005302076,0.0005647131,0.00011950593,0.00093373633],"study_design_scores_gemma":[0.000008680722,0.000016344486,0.00084164133,0.0000020561713,0.0000075855028,0.0000093108965,0.000026295635,0.99831796,0.00016534049,0.00030447103,0.00029418964,0.000006161668],"about_ca_topic_score_codex":0.08475234,"about_ca_topic_score_gemma":0.0698825,"teacher_disagreement_score":0.08475234,"about_ca_system_score_codex":0.0014320961,"about_ca_system_score_gemma":0.0013774453,"threshold_uncertainty_score":0.16851807},"labels":[],"label_agreement":null},{"id":"W1598710845","doi":"10.14796/jwmm.r246-12","title":"Evaluation of the Thermal Impact of Stormwater Management Ponds","year":2013,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Urban Stormwater Management Solutions","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"Albert Einstein College of Medicine, Yeshiva University","keywords":"Environmental science; Surface runoff; Stormwater management; Stormwater; Thermal pollution; Urban runoff; Water resource management; Low-impact development; Pollution; Hydrology (agriculture); Environmental engineering; Environmental planning; Engineering; Ecology; Geotechnical engineering","score_opus":0.027692628820420537,"score_gpt":0.25167464230681474,"score_spread":0.2239820134863942,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1598710845","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":[0.99500716,0.000048304446,0.002467757,0.000021304864,0.000010189287,0.000064382555,0.00018510384,0.000074133706,0.0021215936],"genre_scores_gemma":[0.9977088,0.000040975487,0.0012445131,0.000004035428,0.0000015163309,0.000016288262,0.00008669127,0.000007830727,0.00088924245],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99947554,0.00010936754,0.000020636948,0.000058779104,0.00024780366,0.000087854656],"domain_scores_gemma":[0.9991092,0.00029337846,0.00007761074,0.000076761426,0.00034072183,0.00010219169],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00074596854,0.00055829686,0.00040950478,0.00039452617,0.00045342036,0.00062725623,0.0005775507,0.00051005854,0.0032355895],"category_scores_gemma":[0.0013147027,0.00021815281,0.00046069856,0.00037247397,0.00037674006,0.0006670042,0.00039041066,0.00037232327,0.000289323],"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":[0.0039722463,0.0021106645,0.060353126,0.00046894012,0.0001511644,0.0003527957,0.00018208778,0.6642667,0.19758956,0.00096870115,0.0011329849,0.068450965],"study_design_scores_gemma":[0.00021167853,0.00855235,0.07845907,0.00002558848,0.00018885163,0.00009124467,0.0004533716,0.7568564,0.15267517,0.00070246094,0.0017319235,0.000051891377],"about_ca_topic_score_codex":0.007204162,"about_ca_topic_score_gemma":0.012866048,"teacher_disagreement_score":0.007204162,"about_ca_system_score_codex":0.0013210934,"about_ca_system_score_gemma":0.00076892576,"threshold_uncertainty_score":0.014324486},"labels":[],"label_agreement":null},{"id":"W161976239","doi":"10.14796/jwmm.r208-08","title":"Evaluation of Stormwater Retrofit Options for Mimico Creek Watershed","year":2002,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Hydraulic flow and structures","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Stormwater; Watershed; Surface runoff; Environmental science; Storm; Water quality; Hydrology (agriculture); Water resource management; Pollution; Nonpoint source pollution; Geography; Engineering; Meteorology; Computer science","score_opus":0.04894509285070776,"score_gpt":0.24347886803442914,"score_spread":0.1945337751837214,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W161976239","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":[0.9964264,0.00004317899,0.00087651104,0.000034524714,0.0000031806155,0.000104168845,0.00013073765,0.000035233494,0.002345929],"genre_scores_gemma":[0.996053,0.0000983313,0.0021506792,0.000008504596,0.000002329877,0.000060895327,0.00024674888,0.00000915189,0.0013702154],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9986524,0.00039678605,0.00006325605,0.00012352284,0.00060966477,0.00015451564],"domain_scores_gemma":[0.99859124,0.0005359756,0.00021531525,0.000083174345,0.0003988616,0.0001752809],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018212931,0.00076186325,0.00076376455,0.001054367,0.0005710356,0.0011858925,0.0008788623,0.00068119256,0.002359388],"category_scores_gemma":[0.003146093,0.00028163908,0.00046162083,0.0012985311,0.00046177243,0.00084530504,0.0005020148,0.0003426457,0.00021694704],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0057162764,0.004253282,0.077488765,0.0005299958,0.00022817247,0.0013399344,0.00036471663,0.66971374,0.061459515,0.0043141106,0.0019830274,0.17260842],"study_design_scores_gemma":[0.00095280056,0.026832413,0.09114378,0.00006328325,0.00045369694,0.00032495472,0.0017094336,0.744557,0.1227417,0.0016312486,0.00945219,0.00013757945],"about_ca_topic_score_codex":0.009991293,"about_ca_topic_score_gemma":0.020449629,"teacher_disagreement_score":0.9900087,"about_ca_system_score_codex":0.002517514,"about_ca_system_score_gemma":0.0016436896,"threshold_uncertainty_score":0.019866288},"labels":[],"label_agreement":null},{"id":"W1627428668","doi":"10.14796/jwmm.r206-06","title":"A Laboratory Rig for Testing Runoff from Paved Surfaces","year":2000,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Hydraulic flow and structures","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Process (computing); Surface runoff; Computer science; Marine engineering; Engineering; Programming language; Ecology; Biology","score_opus":0.01320701066343736,"score_gpt":0.19764164997246528,"score_spread":0.18443463930902793,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1627428668","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":[0.6431994,0.0006612942,0.33106476,0.00032877715,0.00015520814,0.0031646565,0.0033073686,0.0038700996,0.014248405],"genre_scores_gemma":[0.8600274,0.00057695765,0.13179986,0.00012792755,0.00003099043,0.0017699392,0.0011426562,0.00012644475,0.0043979483],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.999243,0.00012430051,0.000057066252,0.00012187656,0.00039453298,0.000059263846],"domain_scores_gemma":[0.9992962,0.00020038986,0.00006249773,0.00024494558,0.00013378933,0.00006213166],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007172166,0.0004216981,0.0003458391,0.00055459724,0.00088370696,0.00042192606,0.00081495155,0.0009703781,0.004029547],"category_scores_gemma":[0.0011064701,0.00025171638,0.000361947,0.00046307629,0.0005018172,0.00057168474,0.0007308206,0.00067900115,0.0010206068],"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":[0.00016496588,0.0007896188,0.004638721,0.00032204232,0.000019226165,0.00016801542,0.00015717812,0.0048678583,0.9425641,0.0020676318,0.0013607298,0.04287997],"study_design_scores_gemma":[0.0001855929,0.00504694,0.013133189,0.00006602043,0.000057578825,0.0006391421,0.0002556331,0.02836007,0.934949,0.0016095147,0.01563188,0.00006552828],"about_ca_topic_score_codex":0.0010931643,"about_ca_topic_score_gemma":0.0016605154,"teacher_disagreement_score":0.004029547,"about_ca_system_score_codex":0.00034154323,"about_ca_system_score_gemma":0.00093864085,"threshold_uncertainty_score":0.013480186},"labels":[],"label_agreement":null},{"id":"W1646760803","doi":"10.14796/jwmm.c390","title":"A Right-of-Way Stormwater Low Impact Development Practice","year":2015,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Underground infrastructure and sustainability","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Stormwater management; Low-impact development; Stormwater; Environmental planning; Environmental science; Business; Surface runoff","score_opus":0.012265260157905251,"score_gpt":0.23759876533902147,"score_spread":0.22533350518111622,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1646760803","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":[0.032344844,0.0012386999,0.3952901,0.107973814,0.0013829309,0.0006741265,0.00014014433,0.0018368076,0.45911855],"genre_scores_gemma":[0.56878716,0.0029063853,0.26266754,0.012732324,0.0003309516,0.0005238898,0.00020020492,0.00059846404,0.15125303],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.990464,0.0028044975,0.00055925327,0.0013016601,0.0040499307,0.0008206532],"domain_scores_gemma":[0.99308276,0.00093219307,0.00052305707,0.0015391486,0.0028556162,0.0010672653],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009385849,0.0004878376,0.0004131841,0.00097540807,0.004500539,0.007112382,0.0025942347,0.004679719,0.012811308],"category_scores_gemma":[0.01248566,0.0005164554,0.0005920883,0.00077077374,0.0061729867,0.011054204,0.008348002,0.0051752627,0.005766233],"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":[0.000053601634,0.0005916201,0.005681056,0.0005504365,0.00003251184,0.0011124448,0.009907824,0.0088791065,0.004757391,0.5867685,0.11194762,0.26971784],"study_design_scores_gemma":[0.00003604705,0.00026748673,0.0015036539,0.0005821796,0.00001939638,0.0009671688,0.007550302,0.0064935284,0.0035744454,0.17494011,0.80395555,0.0001102188],"about_ca_topic_score_codex":0.0051651383,"about_ca_topic_score_gemma":0.015488873,"teacher_disagreement_score":0.012811308,"about_ca_system_score_codex":0.003083094,"about_ca_system_score_gemma":0.009878778,"threshold_uncertainty_score":0.049637735},"labels":[],"label_agreement":null},{"id":"W1745226692","doi":"10.14796/jwmm.r228-17","title":"Modeling the Stormwater Benefits of Green Roofs in the City of Toronto","year":2008,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Urban Heat Island Mitigation","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Toronto Metropolitan University","funders":"Federation of Canadian Municipalities","keywords":"Stormwater; Stormwater management; Surface runoff; Environmental science; Green infrastructure; Low-impact development; Environmental planning; Water resource management; Hydrology (agriculture); Engineering; Ecology","score_opus":0.03280484923479507,"score_gpt":0.21444659596286184,"score_spread":0.18164174672806677,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1745226692","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":[0.99496716,0.00006135392,0.00041847708,0.0003769817,0.000008702684,0.000014793857,0.0010663179,0.000023050727,0.0030631653],"genre_scores_gemma":[0.9976999,0.00006090115,0.00028224452,0.000019450128,0.0000036591885,0.00000706803,0.0004031248,0.0000093972,0.001514158],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99975556,0.0000488499,0.000007118862,0.00004221048,0.000027570282,0.00011870498],"domain_scores_gemma":[0.99947923,0.00019938222,0.000051009072,0.000025854108,0.00012552664,0.00011898619],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029174113,0.0006251071,0.00044031302,0.0004490583,0.0014158849,0.0014519652,0.0012549429,0.0016538784,0.003754729],"category_scores_gemma":[0.0010458605,0.00061548507,0.00088881,0.0012339725,0.0010537319,0.000756921,0.00064637174,0.0008877128,0.00023321477],"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":[0.00017124852,0.000116802956,0.023684302,0.00002739459,0.000052428364,0.00022178903,0.00021960329,0.9688194,0.0007119402,0.002335607,0.0017275757,0.001911815],"study_design_scores_gemma":[0.000073132134,0.000050644543,0.022935426,0.000010609802,0.0000428297,0.000015971445,0.0009164461,0.9743066,0.0004009914,0.0004484813,0.0007685151,0.000030400883],"about_ca_topic_score_codex":0.9385687,"about_ca_topic_score_gemma":0.95699245,"teacher_disagreement_score":0.06143129,"about_ca_system_score_codex":0.017029658,"about_ca_system_score_gemma":0.00575928,"threshold_uncertainty_score":0.12358606},"labels":[],"label_agreement":null},{"id":"W1748676127","doi":"10.14796/jwmm.r236-30","title":"Survival Rate Analyses of Watermains: A Comparison of Case Studies for Canada and Iran","year":2010,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Water Systems and Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"University of Guelph","funders":"Canada Research Chairs","keywords":"Statistics; Mathematics","score_opus":0.07300742150526211,"score_gpt":0.308511719595013,"score_spread":0.23550429808975087,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1748676127","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":[0.9923741,0.00040750974,0.002866418,0.00014978857,0.0000076950155,0.00008917701,0.0011193524,0.000053013646,0.0029329567],"genre_scores_gemma":[0.9960517,0.0003156468,0.0012891187,0.000008789952,0.000003677577,0.000023871655,0.0011476494,0.000016279955,0.0011431724],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99927276,0.0001735521,0.000025328243,0.0000715781,0.00020891958,0.00024780066],"domain_scores_gemma":[0.9949935,0.002664155,0.0003612784,0.00022176428,0.0015241904,0.00023508798],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023425093,0.00052279007,0.0005253364,0.003492867,0.0008322837,0.0009005612,0.0015839518,0.0006713188,0.0022010647],"category_scores_gemma":[0.006021475,0.00019663997,0.0012751186,0.0032865626,0.0008313527,0.00043311965,0.0004636335,0.0006043634,0.00017516939],"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":[0.0009308638,0.0004471149,0.5999152,0.0002989628,0.0006133161,0.003111814,0.0021555913,0.31944954,0.0016086715,0.011739877,0.0074944063,0.052234687],"study_design_scores_gemma":[0.000084520725,0.00033358342,0.55199796,0.0000727124,0.0003971433,0.0015953482,0.0069061094,0.42700985,0.0019699272,0.0033442357,0.006117377,0.00017128323],"about_ca_topic_score_codex":0.77172893,"about_ca_topic_score_gemma":0.7546402,"teacher_disagreement_score":0.22827107,"about_ca_system_score_codex":0.010433595,"about_ca_system_score_gemma":0.005420649,"threshold_uncertainty_score":0.45923078},"labels":[],"label_agreement":null},{"id":"W1768166163","doi":"10.14796/jwmm.r215-20","title":"Comparison of Neural Networks to Ormsbee's Method for Rain Generation - applied to Toronto, Ontario","year":2003,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Hydrological Forecasting Using AI","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Artificial neural network; Key (lock); Rain rate; Function (biology); Meteorology; Environmental science; Hydrology (agriculture); Computer science; Geography; Engineering; Artificial intelligence; Geotechnical engineering; Precipitation","score_opus":0.06070284139289353,"score_gpt":0.31115279864869416,"score_spread":0.25044995725580066,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1768166163","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":[0.5295039,0.0070782225,0.38435644,0.0018219277,0.0007838297,0.00051173306,0.002994831,0.0039253207,0.0690238],"genre_scores_gemma":[0.8914662,0.0017696808,0.078216195,0.00012560276,0.000075741635,0.00012360691,0.0016396163,0.00036601973,0.026217299],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996623,0.00009315094,0.000020951536,0.0000536457,0.00011053765,0.00005937381],"domain_scores_gemma":[0.9988116,0.00047054962,0.000032388394,0.000058270874,0.00059005036,0.000037064805],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010863142,0.00053513644,0.0004175018,0.0007906216,0.00067418086,0.0008858265,0.00083166215,0.00047241832,0.005903044],"category_scores_gemma":[0.0042036506,0.00018767928,0.0002939835,0.0013728498,0.00027633805,0.00064723444,0.00044979196,0.00032390552,0.0006137672],"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":[0.0006240818,0.00008936929,0.00880203,0.00022038362,0.00014374469,0.000084850544,0.00016921991,0.5200303,0.0012491316,0.0063103647,0.010833855,0.45144263],"study_design_scores_gemma":[0.000032864355,0.000022740256,0.0034535914,0.000015519432,0.000022617754,0.0000094081115,0.00007011871,0.9926762,0.00065999466,0.0008549188,0.002174017,0.000008023698],"about_ca_topic_score_codex":0.77080685,"about_ca_topic_score_gemma":0.80550784,"teacher_disagreement_score":0.22919315,"about_ca_system_score_codex":0.0058983336,"about_ca_system_score_gemma":0.004585148,"threshold_uncertainty_score":0.4610858},"labels":[],"label_agreement":null},{"id":"W1828741277","doi":"10.14796/jwmm.r241-09","title":"Using the PCSWMM 2010 SRTC Tool to Design a Compost Biofilter for Highway Stormwater Runoff Treatment","year":2011,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Urban Stormwater Management Solutions","field":"Environmental Science","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Stormwater; Surface runoff; Biofilter; Compost; Stormwater management; Environmental science; Environmental engineering; Hydrology (agriculture); Waste management; Engineering; Geotechnical engineering; Ecology; Biology","score_opus":0.1518115370422764,"score_gpt":0.2648746166021126,"score_spread":0.11306307955983619,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1828741277","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":[0.16570306,0.00018613906,0.7981326,0.00017947382,0.00005749258,0.00044574664,0.0010425575,0.013447008,0.020805862],"genre_scores_gemma":[0.54273057,0.00027899325,0.44484803,0.00009281646,0.000013291369,0.00040035325,0.00085958425,0.0007748822,0.010001398],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996958,0.000028136947,0.00001989599,0.000033268265,0.00019833748,0.000024697167],"domain_scores_gemma":[0.9996611,0.00013014805,0.00004885334,0.000037278794,0.00011248283,0.000010172744],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036364328,0.0005405474,0.00032006507,0.00039658297,0.0002656661,0.0004471926,0.00071113376,0.00045481988,0.0037156225],"category_scores_gemma":[0.0008491591,0.00048368788,0.00043803224,0.00027647824,0.00014468416,0.00036771712,0.00034587667,0.00039185886,0.00090614124],"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":[0.00028223818,0.0001605189,0.0057843565,0.00057489396,0.000045226847,0.00030696002,0.00028372474,0.4177132,0.23358476,0.00315163,0.008492247,0.3296203],"study_design_scores_gemma":[0.00008700632,0.00022466839,0.004006918,0.00004826715,0.00005445911,0.00026028827,0.000065183995,0.7832651,0.17408143,0.0009697695,0.036878843,0.00005805773],"about_ca_topic_score_codex":0.003741782,"about_ca_topic_score_gemma":0.0075841756,"teacher_disagreement_score":0.003741782,"about_ca_system_score_codex":0.0004396625,"about_ca_system_score_gemma":0.00071397086,"threshold_uncertainty_score":0.012430012},"labels":[],"label_agreement":null},{"id":"W1841910698","doi":"10.14796/jwmm.r223-11","title":"Runtime Comparisons between SWMM 4 and SWMM 5 using Continuous Simulation Model Networks","year":2005,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"U.S. Environmental Protection Agency","keywords":"Computer science; Storm Water Management Model; Ecology","score_opus":0.03140297642172294,"score_gpt":0.2585869407215421,"score_spread":0.22718396429981916,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1841910698","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":[0.9704833,0.00035281508,0.016127447,0.0003172922,0.00019837277,0.000049519516,0.0014339099,0.0053148987,0.0057223816],"genre_scores_gemma":[0.973743,0.0000907648,0.021835795,0.000056353976,0.000030071162,0.000048959875,0.0023627642,0.0007073828,0.0011249094],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99879056,0.00035501792,0.0000956,0.00025278569,0.00033373912,0.00017230447],"domain_scores_gemma":[0.98886895,0.0076095196,0.0003478588,0.0009363587,0.0017530308,0.00048431332],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023531008,0.00087204634,0.0007108051,0.0009987202,0.0007347794,0.0010209525,0.0013425287,0.000750186,0.003927311],"category_scores_gemma":[0.011593296,0.0005516473,0.0005920175,0.0013191062,0.0005074283,0.0017802345,0.00059479254,0.0008146534,0.00042080221],"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":[0.0046738097,0.00048259707,0.013243213,0.00025874286,0.00019159951,0.00020683385,0.00023394625,0.8868666,0.012509471,0.0020303626,0.0071646404,0.0721382],"study_design_scores_gemma":[0.00015500271,0.00019240515,0.0047177565,0.0000070588394,0.00003696279,0.000021549084,0.000070773596,0.989389,0.004341541,0.00040833763,0.00064179476,0.000017855944],"about_ca_topic_score_codex":0.020442093,"about_ca_topic_score_gemma":0.024838593,"teacher_disagreement_score":0.020442093,"about_ca_system_score_codex":0.0017178123,"about_ca_system_score_gemma":0.0012387006,"threshold_uncertainty_score":0.040646195},"labels":[],"label_agreement":null},{"id":"W1893935951","doi":"10.14796/jwmm.r220-03","title":"Improved Parameter Estimation Techniques for Soil Storage Capacity","year":2004,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Natural Resources Conservation Service; University of Pittsburgh; U.S. Department of Agriculture; U.S. Environmental Protection Agency","keywords":"Surface runoff; Environmental science; Soil science; Water storage; Estimation; Hydrology (agriculture); Geotechnical engineering; Geology; Engineering; Ecology; Geomorphology","score_opus":0.019629876706021256,"score_gpt":0.23271899915700056,"score_spread":0.2130891224509793,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1893935951","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":[0.00238872,0.00009359278,0.9963871,0.000019014835,0.000010843433,0.00002360509,0.0001628619,0.00052531745,0.00038901792],"genre_scores_gemma":[0.12613566,0.0006015388,0.8673886,0.000044899294,0.00007492232,0.00040476187,0.0019393599,0.0005418206,0.0028683858],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988495,0.00034816551,0.00010395873,0.00026224402,0.0003601491,0.00007596098],"domain_scores_gemma":[0.993835,0.003956519,0.00041028054,0.00073937594,0.001018613,0.000040287698],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026335556,0.001371507,0.0012825473,0.0026970648,0.00042665502,0.0011928777,0.0016250892,0.0009331995,0.0054281997],"category_scores_gemma":[0.01605174,0.00074924185,0.0016247969,0.0023701198,0.00037247964,0.0024331098,0.001294222,0.0022647218,0.0021391283],"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":[0.00006487459,0.000055925397,0.0031258317,0.00021854517,0.00017910246,0.00008490787,0.00013217641,0.5898237,0.007708415,0.019552952,0.0021588847,0.37689468],"study_design_scores_gemma":[0.000008812475,0.000016848933,0.0012555491,0.000024797548,0.000024139701,0.00006964374,0.000016235124,0.98415965,0.0026712837,0.009091065,0.0026312808,0.000030750525],"about_ca_topic_score_codex":0.006815932,"about_ca_topic_score_gemma":0.0058724526,"teacher_disagreement_score":0.006815932,"about_ca_system_score_codex":0.00062388874,"about_ca_system_score_gemma":0.0009609084,"threshold_uncertainty_score":0.018159151},"labels":[],"label_agreement":null},{"id":"W1894292144","doi":"10.14796/jwmm.r206-19","title":"Incorporation and Testing of Revised Algorithms for the Aquatic Plant Growth Model, ECOL","year":2000,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Aquatic Ecosystems and Phytoplankton Dynamics","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"University of Guelph; Credit Valley Hospital","funders":"","keywords":"Plant growth; Algorithm; Growth model; Computer science; Mathematics; Biology; Agronomy; Mathematical economics","score_opus":0.028559034848813416,"score_gpt":0.2196335781767807,"score_spread":0.19107454332796728,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1894292144","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":[0.38494515,0.00045942035,0.5997017,0.0015666875,0.0005423304,0.0005955243,0.0009573809,0.0057365615,0.005495195],"genre_scores_gemma":[0.59507793,0.00020556015,0.40010548,0.0005323314,0.000090120535,0.0005140183,0.001869013,0.00057979993,0.001025764],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9926065,0.0038220733,0.0007432375,0.0011562819,0.001320574,0.00035137744],"domain_scores_gemma":[0.9177092,0.059844773,0.003023518,0.006839749,0.0118921595,0.0006906468],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.016692935,0.0011759485,0.00062836614,0.00094951387,0.00075974735,0.0024025126,0.003046663,0.0022889553,0.002041552],"category_scores_gemma":[0.10337716,0.00087826874,0.0007715218,0.0005333224,0.0012456327,0.0044682524,0.0023150106,0.0020396449,0.0004867982],"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":[0.0010860065,0.0012958086,0.031247457,0.000272014,0.0002962822,0.00010676498,0.00016896114,0.7898754,0.002546315,0.016365625,0.0024685569,0.15427087],"study_design_scores_gemma":[0.0001303088,0.0001624047,0.0011985557,0.000018574217,0.000028196606,0.000019921566,0.000036361875,0.9942525,0.0016864508,0.0017683512,0.0006832445,0.000015106408],"about_ca_topic_score_codex":0.011888065,"about_ca_topic_score_gemma":0.008453413,"teacher_disagreement_score":0.016692935,"about_ca_system_score_codex":0.0023268592,"about_ca_system_score_gemma":0.004093657,"threshold_uncertainty_score":0.08828175},"labels":[],"label_agreement":null},{"id":"W1900730857","doi":"10.14796/jwmm.c392","title":"Comparing Unsteady Modeling Approaches of Surges Caused by Sudden Air Pocket Compression","year":2015,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Water Systems and Optimization","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Auburn University","keywords":"Surge; Compression (physics); Mechanics; Pipeline (software); Unsteady flow; Flow (mathematics); Electrical conduit; Geology; Engineering; Physics; Mechanical engineering; Thermodynamics; Geomorphology","score_opus":0.08637126074145557,"score_gpt":0.21500262730070047,"score_spread":0.1286313665592449,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1900730857","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":[0.7405864,0.0017361091,0.20981865,0.001136217,0.0004399546,0.00024354598,0.001143236,0.0012099877,0.04368594],"genre_scores_gemma":[0.9818559,0.00067503226,0.012968459,0.00007557144,0.000058009595,0.000108787804,0.00041016916,0.00017016003,0.003677818],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998117,0.000057804144,0.000014505659,0.000024602869,0.000054549655,0.000036811045],"domain_scores_gemma":[0.99899465,0.0005210406,0.000072520736,0.00008355759,0.00026232115,0.000065846514],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046117438,0.0006918217,0.0006447035,0.00078702334,0.000521144,0.0009823845,0.0009587826,0.0011402131,0.0024406733],"category_scores_gemma":[0.0018254764,0.0003150645,0.0010555374,0.0005035326,0.00031489454,0.0008338344,0.0005693736,0.0010090878,0.00042521404],"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":[0.000085709886,0.00009350685,0.00126906,0.00006978112,0.000031607375,0.000041085204,0.0000708317,0.9872866,0.0013849612,0.0020335237,0.00048601502,0.0071473042],"study_design_scores_gemma":[0.000004528248,0.000023200144,0.00026126887,0.0000044398766,0.00000523291,0.0000044611147,0.000021308642,0.9988034,0.00038169805,0.00025614756,0.00022772807,0.0000065126355],"about_ca_topic_score_codex":0.021594016,"about_ca_topic_score_gemma":0.010965564,"teacher_disagreement_score":0.021594016,"about_ca_system_score_codex":0.0006660542,"about_ca_system_score_gemma":0.0010323997,"threshold_uncertainty_score":0.042936683},"labels":[],"label_agreement":null},{"id":"W1903582008","doi":"10.14796/jwmm.r236-18","title":"Low-Flow Modification of Flood Control Channels in Cities","year":2010,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Flood Risk Assessment and Management","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada; Hong Kong Polytechnic University","keywords":"Flood control; Flow (mathematics); Environmental science; Flood myth; Control (management); Hydrology (agriculture); Geography; Geology; Computer science; Geotechnical engineering; Mechanics; Archaeology; Physics","score_opus":0.011142602332811318,"score_gpt":0.22371671321383466,"score_spread":0.21257411088102335,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1903582008","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":[0.9674086,0.000042104435,0.022548148,0.000047217192,0.000008320972,0.00007900276,0.00008149131,0.00018909009,0.009596142],"genre_scores_gemma":[0.99516076,0.00003187575,0.0033386964,0.000007671286,0.0000011705243,0.000017361976,0.000028034317,0.000008570687,0.0014057409],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99980265,0.00005213812,0.000009089983,0.000036933576,0.000039300445,0.000059933678],"domain_scores_gemma":[0.9997067,0.000064900014,0.00006799511,0.000044677716,0.000059615326,0.00005601869],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024103507,0.00019763886,0.00016342543,0.0002804173,0.00042072337,0.0011077995,0.00037672854,0.000231221,0.0021842604],"category_scores_gemma":[0.00068002986,0.00015803004,0.00018589543,0.00032219436,0.00081479934,0.0004174777,0.00058262754,0.00022084058,0.0001646872],"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":[0.00036205584,0.00044975613,0.120594084,0.00011727337,0.00004077878,0.000648855,0.000747059,0.7643508,0.0243898,0.011747688,0.0011733742,0.07537844],"study_design_scores_gemma":[0.00010156285,0.0007299886,0.17336063,0.000050524224,0.000089024245,0.00027621287,0.001807456,0.7916864,0.016385809,0.0053644627,0.010045585,0.00010224996],"about_ca_topic_score_codex":0.011239865,"about_ca_topic_score_gemma":0.02905264,"teacher_disagreement_score":0.011239865,"about_ca_system_score_codex":0.0009215855,"about_ca_system_score_gemma":0.001161441,"threshold_uncertainty_score":0.02234888},"labels":[],"label_agreement":null},{"id":"W1911688114","doi":"10.14796/jwmm.r228-16","title":"Land Development Characteristics in Jefferson County, Alabama","year":2008,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Urban Stormwater Management Solutions","field":"Environmental Science","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"University of Alabama; U.S. Department of Agriculture","keywords":"Watershed; Stormwater management; Stormwater; Land use; Geography; Environmental planning; Water resource management; Environmental science; Archaeology; Hydrology (agriculture); Civil engineering; Engineering; Surface runoff; Computer science; Ecology","score_opus":0.024204126766399242,"score_gpt":0.20313925251337275,"score_spread":0.1789351257469735,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1911688114","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":[0.98952943,0.00009155543,0.00010205188,0.00021891444,0.000005076422,0.000030288125,0.0035364982,0.00002031016,0.006465902],"genre_scores_gemma":[0.9867857,0.00013366419,0.00044628148,0.0001059828,0.0000066105463,0.00006364553,0.0038546794,0.000008802684,0.008594704],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998975,0.000019360652,0.000006981363,0.000022979548,0.000022159997,0.00003094555],"domain_scores_gemma":[0.9996208,0.000042037766,0.00006687802,0.000016580867,0.00015437575,0.00009940118],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012611593,0.00011731166,0.00009161334,0.00090756215,0.0007824599,0.0003740762,0.00031032486,0.0001351834,0.004319402],"category_scores_gemma":[0.00053557684,0.00009093064,0.00006634671,0.0012168023,0.0001284136,0.00021825831,0.000333254,0.00016117192,0.00056548696],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000063113075,0.000099055316,0.9795136,0.00002064357,0.000024986584,0.00033809087,0.0007625683,0.00033774026,0.0006805989,0.00021240661,0.0061111297,0.0118360855],"study_design_scores_gemma":[0.0000029964224,0.000011950889,0.99396014,0.000006805399,0.000004797324,0.00008867762,0.001828357,0.00016250224,0.00010178183,0.00003098731,0.0037985009,0.0000023822513],"about_ca_topic_score_codex":0.28101355,"about_ca_topic_score_gemma":0.6028225,"teacher_disagreement_score":0.28101355,"about_ca_system_score_codex":0.0013897106,"about_ca_system_score_gemma":0.0012623023,"threshold_uncertainty_score":0.55875576},"labels":[],"label_agreement":null},{"id":"W1916782059","doi":"10.14796/jwmm.r223-23","title":"Sources of Pollutants in Urban Areas (Part 1) - Older Monitoring Projects","year":2005,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Urban Stormwater Management Solutions","field":"Environmental Science","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Pollutant; Environmental planning; Environmental science; Business; Environmental resource management; Geography; Ecology","score_opus":0.024484386913631112,"score_gpt":0.2276427993256975,"score_spread":0.2031584124120664,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1916782059","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":[0.8832883,0.0013475596,0.005031272,0.00011472753,0.000014104038,0.0002615851,0.074050255,0.00030763587,0.03558457],"genre_scores_gemma":[0.88752496,0.003895522,0.012777658,0.000045596018,0.000025388756,0.0004711148,0.055075686,0.00007136388,0.040112622],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99970716,0.00004377721,0.00002743869,0.000055891287,0.0001367226,0.000028995686],"domain_scores_gemma":[0.99940693,0.000080369406,0.00021427855,0.000048889433,0.00021095786,0.00003843243],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003471677,0.00029144782,0.00018179628,0.0021244274,0.0002422236,0.00063390005,0.00023880432,0.00012497745,0.0044039018],"category_scores_gemma":[0.00071669737,0.0002052565,0.00015722055,0.005858022,0.00006047808,0.00037418303,0.00038446722,0.000117228905,0.0008217543],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019105927,0.0001564403,0.6961762,0.00045607408,0.00013461648,0.00020323691,0.0015745399,0.008571422,0.0041848174,0.0015586126,0.016655792,0.27013734],"study_design_scores_gemma":[0.000006932271,0.0000850369,0.9520197,0.000059743015,0.00006125574,0.00010503942,0.00064935867,0.0025522,0.0031597877,0.00033169743,0.040957715,0.000011484614],"about_ca_topic_score_codex":0.027098926,"about_ca_topic_score_gemma":0.06340738,"teacher_disagreement_score":0.027098926,"about_ca_system_score_codex":0.00057119696,"about_ca_system_score_gemma":0.0005990078,"threshold_uncertainty_score":0.05388236},"labels":[],"label_agreement":null},{"id":"W1918654715","doi":"10.14796/jwmm.r206-03","title":"Parallel Processing Enhancement to SWMM/EXTRAN","year":2000,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; Computer graphics (images)","score_opus":0.02023288646278995,"score_gpt":0.2584124888353237,"score_spread":0.23817960237253374,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1918654715","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":[0.03606163,0.00016514769,0.8734244,0.00033319354,0.00051442394,0.00021220435,0.0020014104,0.044796314,0.042491324],"genre_scores_gemma":[0.1595289,0.00024572856,0.7943303,0.00029322284,0.0001632529,0.000530509,0.005602953,0.006803911,0.032501154],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994702,0.00009703968,0.00003542312,0.000090593545,0.00024028365,0.00006651902],"domain_scores_gemma":[0.9986381,0.0001644812,0.00007292004,0.00045380532,0.0006323847,0.00003821828],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00061871577,0.0009439825,0.00057090964,0.00043136624,0.0003744524,0.00064422726,0.0017900433,0.00034176485,0.017124383],"category_scores_gemma":[0.0024040388,0.00043698394,0.001170873,0.00076459395,0.00027209573,0.0008090606,0.001029644,0.001170771,0.0051841745],"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":[0.00086933776,0.00032801283,0.005686792,0.00083018944,0.00015646027,0.0008711536,0.0004073237,0.18576974,0.064829,0.056841496,0.09879408,0.58461654],"study_design_scores_gemma":[0.00012289628,0.00015597629,0.002080263,0.000056233614,0.000046525813,0.00039052038,0.00002958235,0.7089694,0.055171527,0.0082988385,0.22463046,0.000047791436],"about_ca_topic_score_codex":0.004249027,"about_ca_topic_score_gemma":0.004553952,"teacher_disagreement_score":0.017124383,"about_ca_system_score_codex":0.00059634354,"about_ca_system_score_gemma":0.0011002126,"threshold_uncertainty_score":0.0572868},"labels":[],"label_agreement":null},{"id":"W1925638680","doi":"10.14796/jwmm.r246-11","title":"Climate Change and Urban Hydrology: Research Needs in the Developed and Developing Worlds","year":2013,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Climate change; Hydrology (agriculture); Environmental science; Environmental resource management; Geography; Ecology; Geology","score_opus":0.08252884125512376,"score_gpt":0.28620729525917166,"score_spread":0.20367845400404788,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1925638680","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.042072013,0.61493367,0.003078023,0.29789487,0.00066570303,0.00008603286,0.0018503703,0.000095860225,0.039323404],"genre_scores_gemma":[0.2325078,0.74847156,0.0058042724,0.008840246,0.0012087742,0.00011939023,0.00075115194,0.00004064381,0.0022562093],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.998292,0.0008088617,0.000121146564,0.00016593882,0.0002657074,0.0003463129],"domain_scores_gemma":[0.98874646,0.007346901,0.00071334484,0.00035369318,0.0015648633,0.001274762],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0051171607,0.0005896279,0.0013276556,0.002651145,0.0015826299,0.008148398,0.0012604203,0.0035580078,0.0058572586],"category_scores_gemma":[0.010007153,0.0005601312,0.00077642134,0.0078554135,0.0044827955,0.012647395,0.005272916,0.0032865424,0.0006682185],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018239609,0.00033956778,0.044846058,0.00502895,0.00014357218,0.00042360887,0.009321436,0.007820743,0.00053727016,0.095699176,0.05387579,0.7817814],"study_design_scores_gemma":[0.00005321418,0.00031783897,0.122551285,0.012988133,0.00024829668,0.00063811755,0.086974084,0.010249655,0.00082653237,0.18417284,0.5807233,0.0002566416],"about_ca_topic_score_codex":0.034774855,"about_ca_topic_score_gemma":0.03850578,"teacher_disagreement_score":0.034774855,"about_ca_system_score_codex":0.0045469794,"about_ca_system_score_gemma":0.008856734,"threshold_uncertainty_score":0.069144845},"labels":[],"label_agreement":null},{"id":"W1943062359","doi":"10.14796/jwmm.r208-12","title":"SSO Evaluations: Infiltration and Inflow using SWMM RUNOFF and EXTRAN","year":2002,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Urban Stormwater Management Solutions","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Inflow; Infiltration (HVAC); Surface runoff; Environmental science; Hydrology (agriculture); Low-impact development; Stormwater management; Engineering; Stormwater; Geotechnical engineering; Geography; Ecology; Meteorology; Biology","score_opus":0.04726151543565791,"score_gpt":0.2471936432233883,"score_spread":0.1999321277877304,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1943062359","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":[0.993622,0.000024001018,0.0030146055,0.000018437986,0.000011388448,0.000036904836,0.0008644607,0.00032650924,0.0020817628],"genre_scores_gemma":[0.99522024,0.000025323337,0.0030050308,0.000009338494,0.0000036760914,0.000026867649,0.0007232692,0.0000568614,0.0009294172],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999619,0.00008922493,0.00005217126,0.00006345982,0.0001248442,0.00005122213],"domain_scores_gemma":[0.9988747,0.00036696842,0.00011510667,0.000080748425,0.00047819666,0.000084149935],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010972818,0.0007162631,0.0006695476,0.000709852,0.0004936732,0.0006987706,0.0003895441,0.00054412585,0.0016182668],"category_scores_gemma":[0.0016309262,0.0003614386,0.0005699758,0.00096711505,0.00026206637,0.00085132587,0.00027296355,0.00033100587,0.00043310583],"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":[0.004878533,0.0023389773,0.21902546,0.0004002919,0.00023307028,0.00045078687,0.00079256814,0.53464216,0.14528407,0.0010418679,0.0029785847,0.0879336],"study_design_scores_gemma":[0.00024755625,0.0009864342,0.09030404,0.000014238571,0.00012468096,0.00005389932,0.00033250047,0.82711756,0.0787949,0.00032517698,0.0016332864,0.00006571929],"about_ca_topic_score_codex":0.025230207,"about_ca_topic_score_gemma":0.041991685,"teacher_disagreement_score":0.025230207,"about_ca_system_score_codex":0.0008119994,"about_ca_system_score_gemma":0.0006515634,"threshold_uncertainty_score":0.050166667},"labels":[],"label_agreement":null},{"id":"W194771532","doi":"10.14796/jwmm.r220-19","title":"Water Resources Modeling Tools - Open Source Code versus Proprietary Software","year":2004,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Open source; Computer science; Source code; Software engineering; Software; Open water; Code (set theory); Water resources; Open source software; Water source; Systems engineering; Environmental science; Water resource management; Engineering; Operating system; Programming language; Marine engineering; Set (abstract data type)","score_opus":0.04010205109975685,"score_gpt":0.24725367085705216,"score_spread":0.20715161975729532,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W194771532","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":[0.05231351,0.0031404325,0.7677932,0.012209571,0.0004896723,0.00022736246,0.0027664243,0.022479953,0.13857998],"genre_scores_gemma":[0.36303636,0.007545403,0.58374995,0.0016484652,0.0003948,0.00052509835,0.005187002,0.010795563,0.02711734],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9962179,0.0010159613,0.0003620886,0.00029838757,0.0018926106,0.00021304755],"domain_scores_gemma":[0.9847446,0.008472048,0.0012244425,0.0030580908,0.0021110286,0.00038978795],"candidate_categories":["open_science"],"consensus_categories":[],"category_scores_codex":[0.0059997467,0.00060626754,0.0004362691,0.0031811118,0.00075436325,0.0052055735,0.0025152792,0.0016014689,0.009597787],"category_scores_gemma":[0.02794934,0.0006548489,0.0010098794,0.005417236,0.0014270622,0.010359892,0.0034079219,0.0017205864,0.0031924678],"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":[0.00023017912,0.00044531052,0.012724998,0.0011637954,0.00019829326,0.0006134072,0.0025918477,0.02539814,0.0065061147,0.3497023,0.088122904,0.5123028],"study_design_scores_gemma":[0.00012790797,0.00015117726,0.015066731,0.0019316467,0.00019257562,0.0012299588,0.0024382374,0.18249886,0.012194755,0.37755322,0.40639913,0.00021581292],"about_ca_topic_score_codex":0.0027289365,"about_ca_topic_score_gemma":0.0040612384,"teacher_disagreement_score":0.99748474,"about_ca_system_score_codex":0.0015323244,"about_ca_system_score_gemma":0.0021007103,"threshold_uncertainty_score":0.03210777},"labels":[],"label_agreement":null},{"id":"W1959254016","doi":"10.14796/jwmm.r220-04","title":"Modeling Surface Runoff, Groundwater Flow and their Interaction with PCSWMM and MODFLOW - for the City of Rostov the Great, Russia","year":2004,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"MODFLOW; Surface runoff; Russian federation; Groundwater; Environmental science; Hydrology (agriculture); Groundwater flow; Flow (mathematics); Water resource management; Geography; Geology; Geotechnical engineering; Aquifer; Regional science; Mechanics","score_opus":0.01880733316772535,"score_gpt":0.21422783531657805,"score_spread":0.1954205021488527,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1959254016","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":[0.98377866,0.000065413515,0.012519149,0.00024020115,0.000030390009,0.000025673577,0.000552239,0.0004488869,0.0023394483],"genre_scores_gemma":[0.992238,0.000048859754,0.0058369827,0.00001339986,0.000011155289,0.000031186497,0.0004849548,0.000041093062,0.0012944633],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998988,0.00003104177,0.000005392811,0.000023808,0.000016536535,0.000024421308],"domain_scores_gemma":[0.9997601,0.00012316517,0.000024075975,0.000019152161,0.000044143435,0.000029381032],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032688113,0.0004961603,0.00039765483,0.0002488844,0.00043990245,0.00066486694,0.0005310175,0.00083046634,0.0011230508],"category_scores_gemma":[0.000872762,0.00043337425,0.0005802034,0.00035115276,0.00031338062,0.00046590515,0.00042915528,0.00051205966,0.00018378247],"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":[0.000051329247,0.00006956798,0.013049597,0.000018298133,0.00004009751,0.00005367544,0.000038985563,0.97986823,0.0012404986,0.00061762414,0.00043444242,0.0045175166],"study_design_scores_gemma":[0.0000072329826,0.000007066853,0.0018291849,9.967557e-7,0.0000059478907,0.0000028437933,0.000008573364,0.9975661,0.00032445532,0.00008968958,0.00015495771,0.0000028898],"about_ca_topic_score_codex":0.07212836,"about_ca_topic_score_gemma":0.047859084,"teacher_disagreement_score":0.07212836,"about_ca_system_score_codex":0.0008492748,"about_ca_system_score_gemma":0.001110058,"threshold_uncertainty_score":0.14341706},"labels":[],"label_agreement":null},{"id":"W1962840914","doi":"10.14796/jwmm.r225-02","title":"An Overview of Water Quality Issues in Cambodia","year":2006,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Cambodian History and Society","field":"Social Sciences","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Ranking (information retrieval); Human Development Index; Index (typography); Geography; Economic growth; Development economics; Quality (philosophy); Developing country; Human development (humanity); Political science; Environmental protection; Socioeconomics; Business; Economics; Computer science; World Wide Web","score_opus":0.08582179147833285,"score_gpt":0.3671113506228853,"score_spread":0.28128955914455245,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1962840914","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.021230733,0.90766793,0.0017691685,0.018834358,0.0014197371,0.0001939642,0.0010085601,0.00009071961,0.047784824],"genre_scores_gemma":[0.08652242,0.8948836,0.002321398,0.0024618132,0.0008206146,0.00011630502,0.00084641343,0.000012721399,0.012014797],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99975854,0.00006539265,0.000032108397,0.000029532514,0.00006023794,0.00005423868],"domain_scores_gemma":[0.9997154,0.00007480626,0.0000652228,0.000008111655,0.00008190591,0.00005460915],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00047274356,0.0007242516,0.0003643102,0.0033837673,0.0009597469,0.0018120661,0.00061787275,0.001137208,0.006412635],"category_scores_gemma":[0.0004831971,0.00030720077,0.0004132907,0.0045754686,0.00047710468,0.0020337182,0.0012056413,0.0008270788,0.00049832184],"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":[0.000099215584,0.00018425248,0.03358283,0.02034647,0.00012352726,0.001931444,0.0038542808,0.003418219,0.0036259051,0.015406063,0.10198015,0.8154477],"study_design_scores_gemma":[0.000005780877,0.0002521226,0.09212596,0.008310575,0.000060591246,0.0012120579,0.0069863326,0.0014492273,0.0007530868,0.0026679367,0.8861258,0.000050547827],"about_ca_topic_score_codex":0.04091698,"about_ca_topic_score_gemma":0.061919235,"teacher_disagreement_score":0.04091698,"about_ca_system_score_codex":0.003211643,"about_ca_system_score_gemma":0.0030027854,"threshold_uncertainty_score":0.08135766},"labels":[],"label_agreement":null},{"id":"W1964518457","doi":"10.14796/jwmm.c379","title":"SUSTAIN Applications for Mapping and Modeling Green Stormwater Infrastructure","year":2014,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Urban Stormwater Management Solutions","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Andrew W. Mellon Foundation","keywords":"Green infrastructure; Stormwater; Stormwater management; Environmental science; Computer science; Environmental planning; Surface runoff","score_opus":0.014617730885605173,"score_gpt":0.2143594562056102,"score_spread":0.19974172532000503,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1964518457","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":[0.0246737,0.00050581,0.7603185,0.0007313399,0.00012847765,0.0003296728,0.021945776,0.14204101,0.049325667],"genre_scores_gemma":[0.24382348,0.0017623815,0.67432386,0.00031545642,0.00012137295,0.0013382058,0.036511295,0.013663812,0.028140062],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99971026,0.00003835357,0.000025194515,0.000038472666,0.00016812136,0.000019633411],"domain_scores_gemma":[0.9994229,0.00022226534,0.00004167553,0.000075120544,0.00020141335,0.00003655578],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007075836,0.0012229198,0.0005040658,0.0012576573,0.0005735445,0.00130213,0.001715084,0.00065394456,0.031783484],"category_scores_gemma":[0.0023081615,0.000698074,0.001056856,0.0017523051,0.0003187599,0.0012582624,0.0013005673,0.00068928796,0.0065862983],"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":[0.00021992094,0.00023924383,0.008411804,0.000756915,0.0002368225,0.000845621,0.00075851055,0.34019646,0.0117754,0.04537822,0.28445852,0.30672258],"study_design_scores_gemma":[0.00009686119,0.00006059084,0.00128155,0.00007432847,0.00004198594,0.00031361994,0.00019308669,0.8052385,0.0064828345,0.016281014,0.16988869,0.000046932866],"about_ca_topic_score_codex":0.017225059,"about_ca_topic_score_gemma":0.026199069,"teacher_disagreement_score":0.031783484,"about_ca_system_score_codex":0.0006986833,"about_ca_system_score_gemma":0.0010041919,"threshold_uncertainty_score":0.10632634},"labels":[],"label_agreement":null},{"id":"W1971133153","doi":"10.14796/jwmm.c372","title":"SWMM Modeling of a Rural Watershed in the Lower Coastal Plains of the United States","year":2014,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Auburn University","keywords":"Watershed; Environmental science; Hydrology (agriculture); Geography; Water resource management; Engineering; Computer science; Geotechnical engineering","score_opus":0.012881593389954418,"score_gpt":0.20991896467120466,"score_spread":0.19703737128125023,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1971133153","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":[0.9945306,0.00002225886,0.002408023,0.00011060211,0.0000040055843,0.000016293645,0.0004211402,0.00008199233,0.0024051105],"genre_scores_gemma":[0.9951857,0.000037932536,0.0031413909,0.00001813152,0.0000026148277,0.000023739523,0.00036282625,0.000012173508,0.001215554],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999368,0.000020265079,0.0000032516155,0.000016372127,0.000008892988,0.000014412007],"domain_scores_gemma":[0.9998933,0.000034629407,0.000017485047,0.0000069068587,0.000026852716,0.000020763888],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015096404,0.0002549522,0.00019957531,0.0002642613,0.00049031636,0.00058153906,0.00046760606,0.0004664542,0.0012681548],"category_scores_gemma":[0.00043242244,0.00020818778,0.00021487237,0.0005902442,0.00023293566,0.00026612572,0.0003752459,0.00023881045,0.00011161625],"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":[0.000099252255,0.00019202882,0.055643443,0.00002187996,0.0000241154,0.0004422861,0.000161965,0.9306832,0.0025389188,0.0013044038,0.0012242089,0.007664319],"study_design_scores_gemma":[0.000020687614,0.000022751492,0.014582322,0.0000036697622,0.0000062989047,0.000018359508,0.00017069122,0.9840094,0.0002842005,0.00023936624,0.0006363498,0.0000059207505],"about_ca_topic_score_codex":0.15063542,"about_ca_topic_score_gemma":0.1802693,"teacher_disagreement_score":0.15063542,"about_ca_system_score_codex":0.0010275181,"about_ca_system_score_gemma":0.00095970527,"threshold_uncertainty_score":0.29951727},"labels":[],"label_agreement":null},{"id":"W1971758454","doi":"10.14796/jwmm.c367","title":"Uncertainty Characterization of Rainfall Inputs used in the Design of Storm Sewer Infrastructure","year":2014,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Hydrology and Drought Analysis","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Storm; Environmental science; Combined sewer; Characterization (materials science); Stormwater; Hydrology (agriculture); Civil engineering; Engineering; Meteorology; Computer science; Geotechnical engineering; Surface runoff; Geography; Materials science","score_opus":0.011130764880235178,"score_gpt":0.2077676362918848,"score_spread":0.19663687141164962,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1971758454","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":[0.8720286,0.00014201553,0.124064796,0.00011606124,0.0000074360655,0.00009760054,0.0008480034,0.00022821415,0.0024672647],"genre_scores_gemma":[0.99547654,0.000020683903,0.004205187,0.0000047173776,0.0000025361146,0.000017594275,0.00019062184,0.000007865345,0.000074267264],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9972662,0.0012017611,0.00019516249,0.0002759807,0.0008303147,0.00023058303],"domain_scores_gemma":[0.981114,0.014199223,0.0020312474,0.0009799202,0.0015166723,0.00015892959],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004618632,0.0004997479,0.00040533434,0.00080337253,0.00031587086,0.001010893,0.0005984266,0.00047056304,0.00046564854],"category_scores_gemma":[0.027791241,0.0003608299,0.00047258427,0.0006051291,0.00032083952,0.00091626047,0.0004992704,0.00044224798,0.00006849932],"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":[0.00018315377,0.000043175693,0.0929205,0.000060714694,0.00012284149,0.00008623557,0.00013663087,0.88163817,0.0034936077,0.0017231493,0.00013553903,0.01945624],"study_design_scores_gemma":[0.000015459273,0.00020503614,0.06908303,0.000028389222,0.00006129949,0.000054767857,0.00008686911,0.9176976,0.010347429,0.0018761251,0.0005042554,0.000039817834],"about_ca_topic_score_codex":0.011278467,"about_ca_topic_score_gemma":0.012358646,"teacher_disagreement_score":0.011278467,"about_ca_system_score_codex":0.0015931558,"about_ca_system_score_gemma":0.0010978883,"threshold_uncertainty_score":0.024425924},"labels":[],"label_agreement":null},{"id":"W1975107556","doi":"10.14796/jwmm.c374","title":"Understanding Stormwater Pipe Deterioration Through Data Mining","year":2014,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Water Systems and Optimization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; University of Guelph","keywords":"Stormwater; Closed circuit; Task (project management); Stormwater management; Water pipe; Computer science; Environmental science; Civil engineering; Hydrology (agriculture); Engineering; Geotechnical engineering; Telecommunications; Surface runoff; Systems engineering","score_opus":0.13109227420580674,"score_gpt":0.2394594851395886,"score_spread":0.10836721093378185,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1975107556","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":[0.6370106,0.0009888484,0.33622554,0.0021944472,0.000051850056,0.0006688178,0.016593121,0.0025014991,0.003765282],"genre_scores_gemma":[0.84690684,0.000555933,0.13742258,0.00011017213,0.000031978278,0.00028069844,0.013667534,0.00003792144,0.0009862613],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991486,0.00016519471,0.00012587225,0.00022449196,0.00025153585,0.0000842419],"domain_scores_gemma":[0.99720734,0.001565177,0.00045185728,0.0002540602,0.00045422924,0.00006735559],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015756425,0.0008029852,0.00071940885,0.0030710076,0.00045566692,0.0012810163,0.0009936326,0.0008538679,0.00049238413],"category_scores_gemma":[0.005743471,0.00031848502,0.0008636692,0.0021659166,0.0003551514,0.0014530676,0.00071430334,0.0006956049,0.00024148938],"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":[0.00036953803,0.0009011486,0.2633923,0.00062154175,0.00026112044,0.0010485497,0.00096633413,0.3230123,0.0079843,0.0038003398,0.007859479,0.3897831],"study_design_scores_gemma":[0.000015213396,0.00014264532,0.044634458,0.00008061036,0.000056720855,0.0001759789,0.0007006209,0.9358346,0.0053373524,0.008505748,0.0044878684,0.000028177577],"about_ca_topic_score_codex":0.013552724,"about_ca_topic_score_gemma":0.016691074,"teacher_disagreement_score":0.013552724,"about_ca_system_score_codex":0.00083298894,"about_ca_system_score_gemma":0.0011003688,"threshold_uncertainty_score":0.026947677},"labels":[],"label_agreement":null},{"id":"W1978780530","doi":"10.14796/jwmm.c377","title":"Application of PCSWMM to Explore Possible Climate Change Impacts on Surface Flooding in a Peri-Urban Area of Pathumthani, Thailand","year":2014,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Flood Risk Assessment and Management","field":"Environmental Science","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Institute of Education, Nanyang Technological University; Nanyang Technological University","keywords":"Flooding (psychology); Climate change; Geography; Southeast asia; Peri; Environmental science; Water resource management; Environmental planning; Physical geography; Geology; Oceanography; History","score_opus":0.03935876824721756,"score_gpt":0.2580287502213643,"score_spread":0.21866998197414672,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1978780530","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":[0.98388094,0.00012609398,0.00782079,0.00023196633,0.000028091397,0.00009626476,0.00285828,0.00037237728,0.0045852116],"genre_scores_gemma":[0.98984724,0.00010861001,0.007961177,0.000011146074,0.000010901279,0.000056043016,0.0014688327,0.000025835374,0.0005102062],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998323,0.00006554602,0.0000102272425,0.000037933354,0.000023569419,0.000030380212],"domain_scores_gemma":[0.9996942,0.00013280599,0.000040089843,0.000023791961,0.000071936076,0.000037118967],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005057814,0.00063330284,0.00037348465,0.0008903705,0.000432488,0.00094332575,0.0006909167,0.0005811684,0.0013752813],"category_scores_gemma":[0.0009474001,0.0002760589,0.0006929837,0.0017611989,0.00020948164,0.0006213522,0.0004867449,0.0005496379,0.00014667206],"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":[0.0001379493,0.00014540978,0.052818287,0.00013199267,0.00014048618,0.0004420537,0.00021995684,0.92618513,0.001215479,0.00083486247,0.00091222284,0.016816158],"study_design_scores_gemma":[0.000027327804,0.00003169186,0.01154834,0.000009776178,0.000029246907,0.000020626023,0.00026349418,0.9866796,0.00051122124,0.0003233291,0.0005413081,0.000014004797],"about_ca_topic_score_codex":0.0714913,"about_ca_topic_score_gemma":0.04118648,"teacher_disagreement_score":0.0714913,"about_ca_system_score_codex":0.0007007362,"about_ca_system_score_gemma":0.0010841758,"threshold_uncertainty_score":0.14215034},"labels":[],"label_agreement":null},{"id":"W1984012814","doi":"10.14796/jwmm.c369","title":"Proposed Addition to SWMM5 Capability to Model Long Term Continuous Rainfall Dependent Infiltration","year":2014,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Karst Systems and Hydrogeology","field":"Earth and Planetary Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Infiltration (HVAC); Inflow; Environmental science; Term (time); Hydrology (agriculture); Meteorology; Geotechnical engineering; Geology; Geography; Physics","score_opus":0.014276527958765346,"score_gpt":0.21283723950908037,"score_spread":0.19856071155031502,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1984012814","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":[0.10771522,0.00035262757,0.8235666,0.00082047813,0.0014939631,0.00045288212,0.008849582,0.037289713,0.019458931],"genre_scores_gemma":[0.4830714,0.00025065875,0.48522222,0.0003103774,0.00021076686,0.00041695917,0.013194078,0.0012756534,0.016047891],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99975187,0.000037925092,0.000017309705,0.00006225551,0.00009598595,0.000034785695],"domain_scores_gemma":[0.99943835,0.00005999875,0.00002858407,0.00010157339,0.00032291253,0.000048651436],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000765996,0.001031171,0.00045301532,0.00036194135,0.00043555623,0.0009865579,0.0022677376,0.0008628676,0.0064665647],"category_scores_gemma":[0.0009927053,0.0004716156,0.0009439452,0.0005281714,0.00019173892,0.00095124915,0.00074014586,0.0013529686,0.002705987],"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":[0.00042950158,0.00068870105,0.024950325,0.00040418998,0.00043218443,0.0001888554,0.00022515598,0.6068291,0.03874711,0.013587445,0.033357993,0.28015953],"study_design_scores_gemma":[0.000095350275,0.00009153435,0.0026234398,0.000015983731,0.000056580735,0.00003890228,0.000016849724,0.95164436,0.010842517,0.0009364718,0.033575732,0.000062136445],"about_ca_topic_score_codex":0.018017078,"about_ca_topic_score_gemma":0.023273002,"teacher_disagreement_score":0.018017078,"about_ca_system_score_codex":0.00064760033,"about_ca_system_score_gemma":0.0017949825,"threshold_uncertainty_score":0.035824418},"labels":[],"label_agreement":null},{"id":"W1985966822","doi":"10.14796/jwmm.c384","title":"Dry Weather Channel Impacts on Wet Weather Combined Sewer Overflow Pollution Rates","year":2014,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Urban Stormwater Management Solutions","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Combined sewer; Settling; Environmental science; Channel (broadcasting); Pollution; Environmental engineering; Hydrology (agriculture); Sanitary sewer; Water resource management; Meteorology; Stormwater; Surface runoff; Engineering; Geotechnical engineering; Geography; Telecommunications; Ecology","score_opus":0.014865811278923072,"score_gpt":0.21855054261368037,"score_spread":0.20368473133475729,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1985966822","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":[0.99749076,0.000014905426,0.0005008905,0.000025239617,0.0000052653636,0.000011537984,0.0002718389,0.000040472427,0.0016391288],"genre_scores_gemma":[0.99898463,0.000024718653,0.00014984267,0.0000052770324,0.0000011411458,0.000004668072,0.00013556419,0.000008234111,0.00068582495],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998209,0.000026245361,0.000012127153,0.000035364825,0.000034775127,0.000070548595],"domain_scores_gemma":[0.9995834,0.0001808945,0.00007823746,0.000027833023,0.000081429236,0.000048203325],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023775674,0.000291164,0.0002852105,0.00040322795,0.00028398354,0.0010645939,0.0002194429,0.0004975852,0.003354263],"category_scores_gemma":[0.00080434256,0.00022263509,0.00051774376,0.00054955797,0.00031343292,0.0007102238,0.0005128151,0.00035809082,0.00019130376],"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":[0.0005780519,0.00038982055,0.20429303,0.00007778594,0.00010126312,0.00047575607,0.00011598497,0.7581612,0.023227878,0.0011526895,0.0009160285,0.010510496],"study_design_scores_gemma":[0.00011785047,0.0004802765,0.26538578,0.000016644712,0.00012770727,0.000072365554,0.0005699645,0.7162788,0.015369965,0.0004113158,0.001100385,0.00006896666],"about_ca_topic_score_codex":0.04630789,"about_ca_topic_score_gemma":0.03755019,"teacher_disagreement_score":0.04630789,"about_ca_system_score_codex":0.00091890333,"about_ca_system_score_gemma":0.00072976126,"threshold_uncertainty_score":0.09207672},"labels":[],"label_agreement":null},{"id":"W1986648861","doi":"10.14796/jwmm.c380","title":"Assessment of Mitigation Strategies for Disinfection By-Product Formation through Bayesian Network Modeling","year":2014,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Water Treatment and Disinfection","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"Ontario Research Foundation","keywords":"Bayesian network; Product (mathematics); Biochemical engineering; Bayesian probability; Computer science; Environmental science; Risk analysis (engineering); Business; Engineering; Artificial intelligence; Mathematics","score_opus":0.014053487611398753,"score_gpt":0.24900266011624772,"score_spread":0.23494917250484898,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1986648861","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":[0.26496053,0.0010819916,0.71121144,0.0024053878,0.00006771485,0.0003330411,0.0016937298,0.00051309186,0.01773309],"genre_scores_gemma":[0.91918075,0.00070927606,0.0754126,0.0001333022,0.000038527472,0.00035347533,0.0006819285,0.000048344005,0.0034417096],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989496,0.0006338558,0.000030548366,0.00012842062,0.00014779448,0.00010979205],"domain_scores_gemma":[0.99509466,0.0039612167,0.00038426614,0.00007329338,0.00036874914,0.00011786245],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0039013545,0.001247517,0.0010822909,0.0017563509,0.0004935645,0.0013684116,0.0016176107,0.0017273888,0.0025903878],"category_scores_gemma":[0.0085913,0.00086900924,0.0011499927,0.0007639472,0.000499003,0.002131793,0.0011567516,0.0009925531,0.00021509745],"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":[0.000019522602,0.000014972311,0.000809294,0.000016092645,0.000026308919,0.000012270445,0.000009962302,0.99337524,0.000083270264,0.0031227423,0.00012845277,0.0023819322],"study_design_scores_gemma":[0.0000055547152,0.00001502953,0.00020959128,0.0000048991906,0.000011873191,0.0000035248197,0.000007853286,0.9963798,0.00005216751,0.0031409098,0.00016422823,0.0000045730458],"about_ca_topic_score_codex":0.026352068,"about_ca_topic_score_gemma":0.018543411,"teacher_disagreement_score":0.026352068,"about_ca_system_score_codex":0.0022370995,"about_ca_system_score_gemma":0.0026086944,"threshold_uncertainty_score":0.05239737},"labels":[],"label_agreement":null},{"id":"W1989047729","doi":"10.14796/jwmm.c371","title":"Monitoring Performance of Low Impact Development Measures Implemented at the Conestoga College South Campus","year":2014,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Urban Stormwater Management Solutions","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Emmanuel Bible College; Conestoga College; University of Waterloo","funders":"","keywords":"Trench; Infiltration (HVAC); Grit; Environmental science; Engineering; Geography; Materials science; Meteorology; Psychology","score_opus":0.01947970168288052,"score_gpt":0.22611471003447284,"score_spread":0.20663500835159232,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1989047729","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":[0.9953762,0.000008586534,0.00076569716,0.000022203296,0.0000015694312,0.00011566942,0.00042978002,0.00005429316,0.0032259182],"genre_scores_gemma":[0.9940064,0.000028871336,0.002125809,0.0000064929386,0.0000011226599,0.0000700436,0.0006660459,0.000008497203,0.0030867588],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99953675,0.00005853399,0.000015074664,0.00006742311,0.00025248475,0.00006970826],"domain_scores_gemma":[0.998965,0.00011544789,0.00015106793,0.00005531812,0.000569957,0.00014310247],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028522193,0.00017833863,0.00015581348,0.00039614877,0.00045098705,0.000463933,0.00036466325,0.00009607392,0.001291532],"category_scores_gemma":[0.001225979,0.00011301099,0.00008080443,0.00068770204,0.0002082255,0.00018904512,0.00034840044,0.00022650628,0.00021964217],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00067128765,0.0010536537,0.8103135,0.00011965894,0.00003705133,0.00019718472,0.0025027997,0.012714005,0.05229514,0.0006432728,0.003795563,0.11565676],"study_design_scores_gemma":[0.000034073193,0.0011689775,0.9518683,0.000016471598,0.00002224632,0.000026367137,0.0017043968,0.019068943,0.020118745,0.00006323308,0.0058784476,0.000029967288],"about_ca_topic_score_codex":0.31084868,"about_ca_topic_score_gemma":0.6788728,"teacher_disagreement_score":0.31084868,"about_ca_system_score_codex":0.0027004275,"about_ca_system_score_gemma":0.004200275,"threshold_uncertainty_score":0.6180787},"labels":[],"label_agreement":null},{"id":"W1996065044","doi":"10.14796/jwmm.c376","title":"Evaluation and Demonstration of Stormwater Dry Wells and Cisterns in Millburn Township, New Jersey","year":2014,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Water Quality and Resources Studies","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"University of Pittsburgh; U.S. Environmental Protection Agency","keywords":"Cistern; Stormwater; Environmental science; Stormwater management; Hydrology (agriculture); Water resource management; Engineering; Geotechnical engineering; Archaeology; Geography; Surface runoff","score_opus":0.06165276383690399,"score_gpt":0.254243654796938,"score_spread":0.192590890960034,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1996065044","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":[0.99602246,0.000035516907,0.0015641069,0.000077701705,0.000009215228,0.00028203047,0.0001196714,0.00006492214,0.0018242978],"genre_scores_gemma":[0.98634446,0.0001600526,0.008005814,0.00006507163,0.0000026143884,0.00012099958,0.00031905784,0.000015934023,0.0049660187],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99930453,0.000095402494,0.000031889922,0.00012677358,0.00031864247,0.00012264324],"domain_scores_gemma":[0.99908113,0.00010282522,0.00011574994,0.00006551233,0.0003839666,0.00025077543],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008117178,0.00028951975,0.00018012605,0.00041757364,0.00078509643,0.00092783134,0.0012577903,0.00039892795,0.0016280976],"category_scores_gemma":[0.0009284954,0.0003018746,0.00023015117,0.00035443887,0.00059190067,0.000585981,0.000770146,0.00051509234,0.00019080681],"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":[0.0024541644,0.00943727,0.22951433,0.00074524945,0.000118350064,0.0030506821,0.0035216156,0.013077001,0.5738142,0.0021698135,0.0035864632,0.15851085],"study_design_scores_gemma":[0.00064200687,0.03833865,0.48016626,0.00020557341,0.00034628817,0.001481201,0.017754056,0.049373347,0.37019897,0.000376012,0.04092585,0.00019176849],"about_ca_topic_score_codex":0.07343773,"about_ca_topic_score_gemma":0.29680654,"teacher_disagreement_score":0.07343773,"about_ca_system_score_codex":0.0023840999,"about_ca_system_score_gemma":0.0029465829,"threshold_uncertainty_score":0.14602053},"labels":[],"label_agreement":null},{"id":"W2008422231","doi":"10.14796/jwmm.c365","title":"Full Scale Up-Flo Filter Field Verification Tests","year":2014,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Infrastructure Maintenance and Monitoring","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Scale (ratio); Field (mathematics); Computer science; Mathematics; Geography; Cartography","score_opus":0.007764770032755173,"score_gpt":0.20156036426314408,"score_spread":0.19379559423038892,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2008422231","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":[0.98163086,0.00015705828,0.012924501,0.0000850054,0.000056585643,0.0010048255,0.0009689456,0.0004154918,0.0027566112],"genre_scores_gemma":[0.9617054,0.00030367222,0.021870855,0.00026165054,0.000034561413,0.0007365866,0.0031639931,0.000107173786,0.011816188],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9988225,0.00014299202,0.000079135054,0.00022866497,0.0005105834,0.00021603346],"domain_scores_gemma":[0.9977393,0.00029374164,0.00014081344,0.0002586749,0.0013768793,0.00019058728],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014207243,0.00063319725,0.0007047649,0.0004746771,0.00084270333,0.00053350365,0.0009265569,0.00079895527,0.0035070614],"category_scores_gemma":[0.0015625122,0.00024446577,0.00062672555,0.00033795674,0.00035407685,0.00069831085,0.00061298884,0.00055488094,0.0011681654],"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":[0.0007611911,0.0018819469,0.0062660053,0.00026296882,0.00006801603,0.00028324535,0.00040351006,0.002171795,0.96222544,0.00016057081,0.0014362795,0.024079004],"study_design_scores_gemma":[0.00025862906,0.018180512,0.051256288,0.00005299732,0.0001539438,0.00043058072,0.00060510065,0.0068002422,0.90824085,0.00014738069,0.013791533,0.000081936654],"about_ca_topic_score_codex":0.013864887,"about_ca_topic_score_gemma":0.0114919795,"teacher_disagreement_score":0.013864887,"about_ca_system_score_codex":0.000667497,"about_ca_system_score_gemma":0.00073458237,"threshold_uncertainty_score":0.02756834},"labels":[],"label_agreement":null},{"id":"W2015417521","doi":"10.14796/jwmm.c370","title":"Modeling the Motion and Spread of Air Pockets within Stormwater Sewers","year":2014,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Hydraulic flow and structures","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Auburn University","keywords":"Sanitary sewer; Stormwater; Stormwater management; Environmental science; Combined sewer; Environmental engineering; Surface runoff","score_opus":0.008270806836507006,"score_gpt":0.19025368689494304,"score_spread":0.18198288005843605,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2015417521","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":[0.9312447,0.00007397763,0.06566946,0.000066961904,0.0000128538995,0.000044325978,0.000116667616,0.00014588406,0.0026251993],"genre_scores_gemma":[0.99404573,0.00005590584,0.004168046,0.0000048749735,0.000003504547,0.000020290145,0.00003640781,0.000009982898,0.0016552226],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999465,0.00000753129,0.0000035842627,0.000015590633,0.000008760795,0.000018157725],"domain_scores_gemma":[0.9998629,0.00004982319,0.0000349939,0.0000109837465,0.000019666866,0.000021511923],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001260884,0.00030681907,0.00033234752,0.00031858156,0.00035725834,0.00055429677,0.000588337,0.0009320594,0.0009425217],"category_scores_gemma":[0.00045228307,0.0002653383,0.0003066062,0.00020552066,0.0005736492,0.000571815,0.0004652583,0.0003158227,0.00010654829],"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":[0.000027791359,0.000020525624,0.0022895467,0.000010922451,0.0000044643994,0.00007779835,0.000050774186,0.9905787,0.0037759282,0.00097453437,0.000045423498,0.0021435618],"study_design_scores_gemma":[0.0000040798895,0.000013260714,0.0006297301,0.0000015904047,0.0000020058005,0.000008994022,0.000017863122,0.99872345,0.00035292128,0.00016020794,0.000083398874,0.0000024082028],"about_ca_topic_score_codex":0.02230368,"about_ca_topic_score_gemma":0.011574416,"teacher_disagreement_score":0.02230368,"about_ca_system_score_codex":0.0006711499,"about_ca_system_score_gemma":0.0007536946,"threshold_uncertainty_score":0.044347703},"labels":[],"label_agreement":null},{"id":"W2025448363","doi":"10.14796/jwmm.c368","title":"Energy Metrics for Water Distribution System Assessment","year":2014,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Water-Energy-Food Nexus Studies","field":"Environmental Science","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Environmental science; Energy (signal processing); Distribution (mathematics); Energy distribution; Computer science; Statistics; Mathematics; Physics","score_opus":0.0160410257460276,"score_gpt":0.2213383907709979,"score_spread":0.2052973650249703,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2025448363","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":[0.015199854,0.010212664,0.9048576,0.0035701988,0.0006383335,0.00036022635,0.011746131,0.0014180996,0.051996913],"genre_scores_gemma":[0.48532125,0.009542277,0.46996662,0.0006259233,0.00060584926,0.001124261,0.014350939,0.00091951736,0.01754339],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9982552,0.0008574624,0.00015308101,0.00012589963,0.00052396907,0.00008437892],"domain_scores_gemma":[0.9960295,0.0017316106,0.00043255268,0.0005292877,0.0010802174,0.00019684609],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029397642,0.0012747499,0.0007494158,0.0045899404,0.000649195,0.0022754485,0.00092970557,0.0008498565,0.009513283],"category_scores_gemma":[0.018420868,0.0003045227,0.0006126086,0.0063766213,0.00052438065,0.0042731557,0.001857684,0.0016011457,0.0013211168],"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":[0.00003930205,0.00006705906,0.0063104806,0.00028899903,0.000119491546,0.00008820262,0.00007938982,0.20130697,0.00079731905,0.44261792,0.061953273,0.28633156],"study_design_scores_gemma":[0.000012330099,0.000051416635,0.0026856214,0.0002808652,0.000030844407,0.00009489707,0.0001372412,0.2917674,0.0006122708,0.6045589,0.09972898,0.000039255476],"about_ca_topic_score_codex":0.0072443797,"about_ca_topic_score_gemma":0.009306943,"teacher_disagreement_score":0.009513283,"about_ca_system_score_codex":0.0018408842,"about_ca_system_score_gemma":0.0015960474,"threshold_uncertainty_score":0.031825125},"labels":[],"label_agreement":null},{"id":"W2028750013","doi":"10.14796/jwmm.c381","title":"Significance of Drying Periods on Nitrate Removal in Experimental Biofilters","year":2014,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Urban Stormwater Management Solutions","field":"Environmental Science","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Queensland University of Technology","keywords":"Biofilter; Nitrate; Environmental science; Pulp and paper industry; Chemistry; Environmental engineering; Engineering","score_opus":0.020816018341072582,"score_gpt":0.23168885478003348,"score_spread":0.2108728364389609,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2028750013","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":[0.9984805,0.00036266554,0.00041061125,0.00002832083,0.000031977936,0.000043211177,0.00031452018,0.000015361906,0.00031277662],"genre_scores_gemma":[0.9957877,0.0005685111,0.0018365079,0.00012682259,0.000021110061,0.00009976848,0.0006438684,0.000028489929,0.0008872217],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99950516,0.00006266983,0.00007975074,0.00014422316,0.0001144336,0.00009382946],"domain_scores_gemma":[0.9993352,0.00023341396,0.00015016395,0.0000632579,0.00012022101,0.00009768075],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031849986,0.00044617112,0.0006256364,0.00018504675,0.0003453444,0.00066886964,0.0003379311,0.00037621876,0.00067217636],"category_scores_gemma":[0.0005998985,0.00021310424,0.00045909622,0.00021913993,0.00025742996,0.00030733788,0.0003420959,0.00066672394,0.00014623524],"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":[0.0012506403,0.00022607803,0.0027945132,0.0001092924,0.000024296174,0.0000630908,0.000103990584,0.00014158602,0.9930824,0.000014256829,0.000035050878,0.00215481],"study_design_scores_gemma":[0.000073642,0.004611516,0.044823233,0.000028501554,0.00010843995,0.00007839815,0.00024141814,0.0014492606,0.94722486,0.000044326567,0.0012831353,0.000033430933],"about_ca_topic_score_codex":0.0031395736,"about_ca_topic_score_gemma":0.0041987374,"teacher_disagreement_score":0.0031395736,"about_ca_system_score_codex":0.00042595097,"about_ca_system_score_gemma":0.00034090594,"threshold_uncertainty_score":0.006242633},"labels":[],"label_agreement":null},{"id":"W2031983580","doi":"10.14796/jwmm.c373","title":"Laboratory Column Test for Predicting Changes in Flow with Changes in Various Biofilter Mixtures","year":2014,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Urban Stormwater Management Solutions","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"University of Alabama","keywords":"Biofilter; Environmental science; Infiltration (HVAC); Column (typography); Flow (mathematics); Environmental engineering; Materials science; Mechanics; Engineering; Composite material; Structural engineering","score_opus":0.011548245535428457,"score_gpt":0.20254007123605158,"score_spread":0.19099182570062312,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2031983580","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":[0.9890483,0.000060774004,0.009257073,0.00002401215,0.000011473612,0.00016185611,0.00075409724,0.00022871282,0.0004537285],"genre_scores_gemma":[0.98312587,0.0001410183,0.014648866,0.000041238793,0.000005387934,0.00029448114,0.000941462,0.000022886747,0.00077880156],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9995758,0.00006668294,0.00004910125,0.00011824574,0.00014246954,0.0000476134],"domain_scores_gemma":[0.9990828,0.00046674404,0.00016145494,0.00006012241,0.00017853735,0.000050266164],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006342953,0.00052215764,0.00044447358,0.00026645654,0.00032855608,0.00049755507,0.00045938228,0.00040449132,0.00089309114],"category_scores_gemma":[0.0013443257,0.00023763484,0.00036787282,0.0003882339,0.00016672954,0.00033990334,0.0002682229,0.0005046302,0.00020176878],"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":[0.0019499792,0.0025311625,0.08033501,0.0002282108,0.00016886383,0.000081234604,0.0001857614,0.029317921,0.86326146,0.00010691313,0.00035269794,0.021480683],"study_design_scores_gemma":[0.00014063616,0.011799339,0.065577,0.000018325181,0.00022755165,0.000058528723,0.00022513044,0.118101045,0.80240905,0.00007734425,0.0012988931,0.00006714475],"about_ca_topic_score_codex":0.010733188,"about_ca_topic_score_gemma":0.0108985845,"teacher_disagreement_score":0.010733188,"about_ca_system_score_codex":0.00045846472,"about_ca_system_score_gemma":0.0007136957,"threshold_uncertainty_score":0.021341443},"labels":[],"label_agreement":null},{"id":"W2059711683","doi":"10.14796/jwmm.c386","title":"Renewal and Update of MTO IDF Curves: Defining the Uncertainty","year":2014,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Infrastructure Maintenance and Monitoring","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Christian ministry; Operations research; Engineering; Political science; Law","score_opus":0.004983933800923413,"score_gpt":0.19126445895161606,"score_spread":0.18628052515069266,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2059711683","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":[0.06661315,0.0013246674,0.8864866,0.0058377436,0.000577291,0.000084104635,0.0018462461,0.0006542313,0.03657597],"genre_scores_gemma":[0.84742016,0.0009167248,0.14065523,0.00048627396,0.00040333066,0.00009776682,0.001700333,0.0005000501,0.00782004],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.995146,0.0010986587,0.00029001423,0.0006408835,0.002351083,0.00047332892],"domain_scores_gemma":[0.9749395,0.010455469,0.0022175934,0.0052438923,0.0064282245,0.0007152825],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009563576,0.0005458034,0.001256648,0.0031650807,0.0013825499,0.0054429136,0.003272085,0.003217729,0.002605437],"category_scores_gemma":[0.09882651,0.000654106,0.0011466433,0.0037324117,0.0021667816,0.008474118,0.0030087668,0.0034390173,0.00050575123],"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":[0.00017198842,0.000033411707,0.012989201,0.00010425355,0.000036364178,0.00019128111,0.0007914029,0.4199868,0.00073133287,0.4208069,0.008999388,0.13515776],"study_design_scores_gemma":[0.000011197033,0.000030897667,0.002509761,0.0000991612,0.000018084069,0.00014626174,0.00012352456,0.76741475,0.00129616,0.1879868,0.040291335,0.000072079136],"about_ca_topic_score_codex":0.024595825,"about_ca_topic_score_gemma":0.013499045,"teacher_disagreement_score":0.024595825,"about_ca_system_score_codex":0.0057913503,"about_ca_system_score_gemma":0.003338222,"threshold_uncertainty_score":0.05057764},"labels":[],"label_agreement":null},{"id":"W2074575998","doi":"10.14796/jwmm.c364","title":"CAST: An Online Tool for Facilitating Local Involvement in Watershed Implementation Plans for the Chesapeake Bay Total Maximum Daily Load","year":2014,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Soil and Water Nutrient Dynamics","field":"Environmental Science","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"U.S. Environmental Protection Agency","keywords":"Chesapeake bay; Watershed; Environmental science; Computer science; Hydrology (agriculture); Engineering; Estuary; Oceanography; Geology; Geotechnical engineering","score_opus":0.02782954517163635,"score_gpt":0.25500082036898053,"score_spread":0.22717127519734417,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2074575998","genre_codex":"software","genre_gemma":"software","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"software","genre_consensus":"software","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.05874893,0.00036566632,0.30859146,0.0027451222,0.00050361664,0.004370324,0.14151281,0.34600347,0.13715856],"genre_scores_gemma":[0.22792773,0.0004939187,0.6041439,0.0007711602,0.00019198605,0.0057463925,0.08425571,0.019501733,0.05696754],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9990902,0.00036345443,0.000096981144,0.00011172238,0.0002569851,0.000080697624],"domain_scores_gemma":[0.9891741,0.006591972,0.0007357765,0.0010464336,0.0016345873,0.0008171199],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0035386495,0.0011700038,0.00062057783,0.0038366348,0.0008820216,0.0025070822,0.0017830009,0.0009436076,0.13546929],"category_scores_gemma":[0.013344176,0.00077547267,0.0005427718,0.0018815142,0.00029284105,0.0024369748,0.002825235,0.0009637851,0.02066278],"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":[0.0006590012,0.0007076796,0.012025335,0.00079729944,0.000082418715,0.0006155908,0.0021169926,0.012198564,0.0023802873,0.0061453767,0.69637704,0.2658944],"study_design_scores_gemma":[0.0010444002,0.00031945494,0.018991059,0.00077011954,0.00011604578,0.0003378109,0.0028571705,0.17074732,0.0067315856,0.016788874,0.78088814,0.00040808207],"about_ca_topic_score_codex":0.011860104,"about_ca_topic_score_gemma":0.032402623,"teacher_disagreement_score":0.13546929,"about_ca_system_score_codex":0.001243731,"about_ca_system_score_gemma":0.0026075111,"threshold_uncertainty_score":0.4531899},"labels":[],"label_agreement":null},{"id":"W2077015565","doi":"10.14796/jwmm.c383","title":"Assessing the Impacts of Stormwater Runoff from I-59 to a Headwater Stream in Central Alabama","year":2014,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Water Quality and Resources Studies","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Alabama Department of Transportation; U.S. Department of Transportation","keywords":"Stormwater; Surface runoff; Environmental science; Stormwater management; Hydrology (agriculture); Aquatic ecosystem; STREAMS; Water resource management; Geology; Ecology; Geotechnical engineering; Computer science; Oceanography","score_opus":0.03770791874617951,"score_gpt":0.26044973045366004,"score_spread":0.22274181170748053,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2077015565","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":[0.9997013,0.000007115904,0.000054912583,0.000013777487,5.2682907e-7,0.0000075554467,0.00002481954,0.0000041519247,0.00018578442],"genre_scores_gemma":[0.99944526,0.000028057448,0.00019485186,0.000010438757,9.836526e-7,0.0000055283917,0.000059172595,9.598973e-7,0.0002547336],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99980515,0.00005115921,0.000010497704,0.00003250423,0.000055180466,0.00004556178],"domain_scores_gemma":[0.99973065,0.000060865448,0.000044838383,0.000010164646,0.00009277068,0.000060766448],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002907554,0.00022371222,0.0001459892,0.0004354894,0.00058371644,0.00072060834,0.00029975548,0.0002603368,0.00070938334],"category_scores_gemma":[0.00060933194,0.00012299235,0.00019154725,0.000515235,0.00025429262,0.00025996848,0.0004292811,0.00019865416,0.00005262848],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004726624,0.0007585485,0.9243129,0.00009329277,0.00016888372,0.001208883,0.0012750584,0.014303385,0.031352066,0.00021779627,0.00034144317,0.025495064],"study_design_scores_gemma":[0.000012145419,0.00029413958,0.9807922,0.000008684551,0.000056741643,0.000053752094,0.0028299566,0.011666137,0.003737333,0.00008156697,0.00045921345,0.000008108684],"about_ca_topic_score_codex":0.20855556,"about_ca_topic_score_gemma":0.385446,"teacher_disagreement_score":0.20855556,"about_ca_system_score_codex":0.0025474206,"about_ca_system_score_gemma":0.0017710868,"threshold_uncertainty_score":0.41468328},"labels":[],"label_agreement":null},{"id":"W2099066387","doi":"10.14796/jwmm.r215-03","title":"Continuous Modeling for Design, Construction and Monitoring: A Case Study","year":2003,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"BIM and Construction Integration","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Philips (Canada)","funders":"","keywords":"Computer science; Engineering; Systems engineering","score_opus":0.03337072385201464,"score_gpt":0.23811971025151843,"score_spread":0.20474898639950379,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2099066387","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":[0.6471889,0.0027403214,0.24059755,0.009360483,0.0002596541,0.0015042777,0.0005216543,0.0005964648,0.0972307],"genre_scores_gemma":[0.8407908,0.0016303093,0.14403877,0.00040217597,0.00004437345,0.00101486,0.00020358886,0.000102317426,0.011772756],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.993068,0.004790393,0.00019236752,0.00026772125,0.001272674,0.00040888196],"domain_scores_gemma":[0.9909967,0.0069645005,0.00033928364,0.0008492281,0.0003908208,0.00045949596],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0070767235,0.00062213384,0.0005743579,0.0009256199,0.0036938146,0.0046210205,0.0023018967,0.00497813,0.0032207018],"category_scores_gemma":[0.008819404,0.00048293994,0.0007020867,0.0023853406,0.0028598597,0.002964765,0.0029131046,0.0025454694,0.0005189224],"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":[0.0007745093,0.005872362,0.017989986,0.0014374875,0.00008900644,0.015156423,0.0704214,0.17713518,0.0084726475,0.3791251,0.033026762,0.29049918],"study_design_scores_gemma":[0.00044919958,0.0029612686,0.009894887,0.0011283839,0.00013753597,0.0062428797,0.07396322,0.3471807,0.017865224,0.07890766,0.46099904,0.00026990776],"about_ca_topic_score_codex":0.0076542613,"about_ca_topic_score_gemma":0.014774854,"teacher_disagreement_score":0.0076542613,"about_ca_system_score_codex":0.003958719,"about_ca_system_score_gemma":0.003181402,"threshold_uncertainty_score":0.037425756},"labels":[],"label_agreement":null},{"id":"W2103109835","doi":"10.14796/jwmm.r207-10","title":"Re-oxygenation Coefficient in QUAL2E: a Prediction Methodology","year":2001,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Water Quality Monitoring and Analysis","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Oxygenation; Biochemical oxygen demand; Oxygen; Environmental science; Water quality; Computer science; Chemical oxygen demand; Chemistry; Environmental engineering; Ecology","score_opus":0.08187826584666537,"score_gpt":0.3043811630823862,"score_spread":0.22250289723572086,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2103109835","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":[0.0058644298,0.00033137537,0.9903431,0.0000946712,0.000036372552,0.000084127576,0.0002467549,0.0008172492,0.0021819558],"genre_scores_gemma":[0.28398618,0.0018211768,0.70188767,0.00018309559,0.00009998425,0.00075968634,0.001441985,0.0007021678,0.009118029],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991628,0.00014720632,0.00006629491,0.00015248814,0.0004140249,0.00005721534],"domain_scores_gemma":[0.9990809,0.0002874304,0.00014613474,0.00009854213,0.0003619561,0.000025056679],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018139188,0.0010230663,0.00077067537,0.0010699695,0.0004203526,0.0012044545,0.0017614127,0.0009408726,0.002055834],"category_scores_gemma":[0.0029216628,0.000507064,0.0008365107,0.0012366623,0.0004600802,0.0017531418,0.0009594571,0.001429821,0.0011832917],"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":[0.00006691887,0.00012421668,0.003893966,0.0002890891,0.0000589783,0.00018703054,0.00013375767,0.72615725,0.013935683,0.052418165,0.0051618908,0.19757299],"study_design_scores_gemma":[0.0000052755163,0.000030316027,0.0004921955,0.000015036029,0.0000096807635,0.00004349546,0.000015267191,0.97940904,0.006448607,0.0055863447,0.007921936,0.000022827502],"about_ca_topic_score_codex":0.003966676,"about_ca_topic_score_gemma":0.0024693098,"teacher_disagreement_score":0.003966676,"about_ca_system_score_codex":0.0009276687,"about_ca_system_score_gemma":0.00076101604,"threshold_uncertainty_score":0.00959301},"labels":[],"label_agreement":null},{"id":"W2104312679","doi":"10.14796/jwmm.r220-01","title":"Urbanization Impacts on Houston Rainstorms","year":2004,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Urban Stormwater Management Solutions","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"American Society for Engineering Education; National Aeronautics and Space Administration","keywords":"Urbanization; Environmental science; Hydrology (agriculture); Water resource management; Geology; Geotechnical engineering; Economics; Economic growth","score_opus":0.014433509413568293,"score_gpt":0.20999403615727522,"score_spread":0.19556052674370691,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2104312679","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":[0.9857146,0.00012898102,0.00009012514,0.0001956353,0.0000057463185,0.000010445455,0.0006860195,0.000027070953,0.013141268],"genre_scores_gemma":[0.9953177,0.00041034128,0.00009575983,0.00004149069,0.000013335335,0.0000068644094,0.00056726387,0.000008174958,0.003539082],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9999273,0.0000131654515,0.0000026921743,0.000005969809,0.000017240873,0.00003353434],"domain_scores_gemma":[0.9998461,0.00002056229,0.00005391069,0.000006569928,0.000032935746,0.00004002041],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010641223,0.00012796046,0.00007561412,0.00037782983,0.00037184244,0.00058772665,0.00010404285,0.000089274814,0.0050177397],"category_scores_gemma":[0.0003194036,0.000051607265,0.00012211973,0.0005872552,0.00018800114,0.00023709076,0.00045463283,0.00012819875,0.0003127136],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004283204,0.00018513537,0.89440554,0.00009872832,0.00005118896,0.0016973828,0.0024202585,0.02494379,0.006583407,0.006071817,0.010164086,0.05295026],"study_design_scores_gemma":[0.00001843607,0.000102472295,0.97171164,0.000020086143,0.000021617065,0.0001443898,0.0030220957,0.005680606,0.0017230865,0.0005255568,0.01701915,0.000010871256],"about_ca_topic_score_codex":0.030650778,"about_ca_topic_score_gemma":0.09240355,"teacher_disagreement_score":0.030650778,"about_ca_system_score_codex":0.0013148197,"about_ca_system_score_gemma":0.00065225555,"threshold_uncertainty_score":0.060944736},"labels":[],"label_agreement":null},{"id":"W2104682970","doi":"10.14796/jwmm.r208-13","title":"Wetlands Management using GIS and Multi-Criteria Evaluation Tools","year":2002,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Soil and Land Suitability Analysis","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Western University; University of Waterloo","funders":"","keywords":"Wetland; Geographic information system; Environmental resource management; Computer science; Geography; Remote sensing; Environmental science; Environmental planning; Ecology","score_opus":0.08867332742107188,"score_gpt":0.2811473571372929,"score_spread":0.19247402971622102,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2104682970","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":[0.029585263,0.0008545155,0.94193834,0.0006766701,0.00004038673,0.00038671834,0.00038224465,0.0012254736,0.024910416],"genre_scores_gemma":[0.23896223,0.0007490393,0.7566553,0.00006544783,0.000024337965,0.00043786975,0.00029868484,0.000062365405,0.0027447743],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9971323,0.0015712423,0.00018099174,0.00009938586,0.0009490708,0.0000669326],"domain_scores_gemma":[0.99843603,0.0009193514,0.00013034284,0.00008331907,0.0003859206,0.000045080644],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028737655,0.00085283804,0.00062238146,0.0036714205,0.00048349638,0.0029879825,0.0006960917,0.00053103315,0.0029647704],"category_scores_gemma":[0.0033719286,0.000338183,0.00067800726,0.002207852,0.00052573514,0.0018004169,0.001249954,0.00051497575,0.00040256794],"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":[0.00014295116,0.00015172223,0.0027635454,0.0006255001,0.00018953056,0.00041112513,0.00047267217,0.43128252,0.007427481,0.08885778,0.0058755986,0.46179965],"study_design_scores_gemma":[0.00003877243,0.000117502175,0.0019073334,0.00018677532,0.000046843914,0.00016214496,0.00045521755,0.92333794,0.0054608346,0.047189873,0.02103215,0.000064641084],"about_ca_topic_score_codex":0.0031116947,"about_ca_topic_score_gemma":0.004172447,"teacher_disagreement_score":0.0036714205,"about_ca_system_score_codex":0.0014835198,"about_ca_system_score_gemma":0.0009632141,"threshold_uncertainty_score":0.0151981115},"labels":[],"label_agreement":null},{"id":"W2106450107","doi":"10.14796/jwmm.r225-18","title":"Monitoring the Performance of a Construction Sediment Pond","year":2006,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Urban Stormwater Management Solutions","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"Ministry of Education, India; Ministry of Environment; Government of Canada; National Water Research Institute","keywords":"Sediment; Sustainability; Pollution; Environmental science; Government (linguistics); Water pollution; Environmental planning; Urban sustainability; Water resource management; Environmental resource management; Hydrology (agriculture); Business; Geology; Ecology","score_opus":0.0107949780271091,"score_gpt":0.1934781405811057,"score_spread":0.1826831625539966,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2106450107","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":[0.99088496,0.000014881448,0.004925951,0.00039248992,0.000037478054,0.00014382902,0.00021917108,0.00022057851,0.0031607216],"genre_scores_gemma":[0.98031896,0.00003642404,0.012969038,0.00013455481,0.0000148837435,0.000064400534,0.0002847939,0.000058397716,0.0061186138],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987392,0.00017694116,0.000047207333,0.00035045817,0.00048065107,0.00020555429],"domain_scores_gemma":[0.9964418,0.00043169258,0.000245633,0.00031666123,0.0017794988,0.00078463776],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011835976,0.0004342909,0.0004083844,0.0011529131,0.0037715936,0.0010065223,0.0008215021,0.0012178737,0.0015102796],"category_scores_gemma":[0.0028359499,0.00039430772,0.0005013802,0.0007318517,0.000754561,0.0008102684,0.0007936376,0.0014224957,0.0005897707],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012509971,0.0033744436,0.5205276,0.00019915,0.00034864456,0.00713001,0.011961939,0.016534029,0.26611722,0.0009468677,0.007130697,0.16447844],"study_design_scores_gemma":[0.00024864922,0.010357851,0.66310865,0.00006734263,0.00040768067,0.0025470932,0.0278243,0.08357777,0.17539701,0.0009924271,0.03516398,0.00030729242],"about_ca_topic_score_codex":0.025583293,"about_ca_topic_score_gemma":0.061493833,"teacher_disagreement_score":0.025583293,"about_ca_system_score_codex":0.0013300647,"about_ca_system_score_gemma":0.0031154926,"threshold_uncertainty_score":0.05086875},"labels":[],"label_agreement":null},{"id":"W2106525024","doi":"10.14796/jwmm.r236-14","title":"Exploring Impacts of Land Use Change on Sediment Erosion in the Cayuga Creek Watershed, Niagara Falls, New York, using BASINS SWAT","year":2010,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"U.S. Army Corps of Engineers","keywords":"Erosion; Surface runoff; Watershed; Hydrology (agriculture); Sediment; Land use; Environmental science; Land use, land-use change and forestry; Agricultural land; Geology; Agriculture; Geography; Archaeology; Geomorphology; Engineering; Geotechnical engineering; Ecology","score_opus":0.15709465767354644,"score_gpt":0.2574812676964881,"score_spread":0.10038661002294166,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2106525024","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":[0.99935645,0.000019649367,0.000032866414,0.00002819787,0.0000016887465,0.000008949867,0.00022442668,0.000004424134,0.00032336713],"genre_scores_gemma":[0.9984091,0.00007261023,0.0002925788,0.000018513923,0.0000032208907,0.000017365239,0.0005404045,0.000002827955,0.0006433855],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99977857,0.000057083013,0.000016028627,0.000056937737,0.000052084182,0.000039348735],"domain_scores_gemma":[0.9994898,0.00011641881,0.000075545075,0.00002434469,0.0001800432,0.00011381702],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027476755,0.00029198825,0.00023014174,0.00070934754,0.0008593631,0.001171481,0.0006726515,0.00033414253,0.0007492404],"category_scores_gemma":[0.00092520675,0.00028163265,0.00031095897,0.001129374,0.00051907694,0.0004664424,0.00047974265,0.00040920335,0.000097517965],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011399117,0.00017482405,0.9913573,0.000020388083,0.00012148354,0.00027464918,0.00054402143,0.0015671606,0.0010857468,0.0000698654,0.00046278394,0.0042078164],"study_design_scores_gemma":[0.000013156769,0.00003574113,0.99308974,0.0000055071155,0.00004705692,0.00003641177,0.0014891394,0.0046394784,0.00024542757,0.000018573315,0.00037370343,0.0000059334216],"about_ca_topic_score_codex":0.8151963,"about_ca_topic_score_gemma":0.94494,"teacher_disagreement_score":0.8151963,"about_ca_system_score_codex":0.0037366394,"about_ca_system_score_gemma":0.002907263,"threshold_uncertainty_score":0.3717841},"labels":[],"label_agreement":null},{"id":"W2107441767","doi":"10.14796/jwmm.r225-15","title":"Multi-Objective Calibration of SWMM for Improved Simulation of the Hydrologic Regime","year":2006,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","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":true,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Storm Water Management Model; Sorting; Calibration; Genetic algorithm; Computer science; Hydrological modelling; Hydrology (agriculture); Environmental science; Engineering; Mathematics; Geology; Algorithm; Ecology; Surface runoff; Machine learning; Statistics; Stormwater; Biology; Geotechnical engineering; Climatology","score_opus":0.016764812107918494,"score_gpt":0.23102475301376751,"score_spread":0.21425994090584902,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2107441767","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":[0.25307387,0.00012254306,0.74238366,0.00015974947,0.000041070158,0.00009479668,0.00016702944,0.00080342754,0.0031538962],"genre_scores_gemma":[0.82876277,0.00006416365,0.16989633,0.000044597586,0.000008267492,0.00017552468,0.00023970888,0.00009643308,0.000712148],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999666,0.00019284633,0.000013700287,0.000035789282,0.00006200386,0.00002969125],"domain_scores_gemma":[0.9987752,0.0007915739,0.00011285442,0.00009647483,0.00019968537,0.000024156114],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016020606,0.0006410241,0.00045511627,0.00048179942,0.0002687628,0.00045674673,0.00058909314,0.00064994965,0.0011699197],"category_scores_gemma":[0.0036577503,0.00037534215,0.0005043141,0.00041063226,0.00020919263,0.0004240913,0.0005518976,0.0009443172,0.00019117357],"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":[0.000013976498,0.000020350079,0.00082348293,0.000012863381,0.000014028404,0.00000987109,0.000018295666,0.98764646,0.0011133981,0.00042422127,0.00012775997,0.009775265],"study_design_scores_gemma":[0.000004291443,0.0000082397155,0.0002535298,0.0000026149537,0.0000018417071,0.000002105993,0.0000033098447,0.99879456,0.00054335187,0.00023159698,0.00015234022,0.0000021176843],"about_ca_topic_score_codex":0.00385475,"about_ca_topic_score_gemma":0.004180191,"teacher_disagreement_score":0.00385475,"about_ca_system_score_codex":0.00050225103,"about_ca_system_score_gemma":0.0007560563,"threshold_uncertainty_score":0.008472562},"labels":[],"label_agreement":null},{"id":"W2109407211","doi":"10.14796/jwmm.r246-16","title":"Assessing the Potential For Rehabilitation of Surface Permeability Using Regenerative Air and Vacuum Sweeping Trucks","year":2013,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Urban Stormwater Management Solutions","field":"Environmental Science","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada; Department of Science and Technology, Ministry of Science and Technology, India","keywords":"Truck; Stormwater; Environmental science; Sediment; Stormwater management; Debris; Rehabilitation; Permeability (electromagnetism); Air permeability specific surface; Engineering; Geology; Surface runoff; Materials science; Geomorphology; Oceanography; Automotive engineering; Chemistry; Medicine","score_opus":0.02432172837684411,"score_gpt":0.26449620224142634,"score_spread":0.24017447386458224,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2109407211","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":[0.9978309,0.000042318796,0.0004455382,0.000021844118,0.00000192534,0.000058549114,0.00008313409,0.00001683629,0.0014990717],"genre_scores_gemma":[0.9986823,0.00003824236,0.00042920187,0.0000058145356,5.787424e-7,0.000015418693,0.00007109007,0.0000024912408,0.0007547541],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99921227,0.00014806022,0.000028288661,0.00008787256,0.00034546686,0.00017814766],"domain_scores_gemma":[0.999148,0.00020335297,0.00017757292,0.000055771772,0.0002795309,0.00013570653],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00086393545,0.00037555437,0.00031466768,0.00040754786,0.00061241916,0.00096115837,0.0007911277,0.00060344586,0.0015245809],"category_scores_gemma":[0.0020528105,0.00012648158,0.0005761401,0.00034759426,0.0005573701,0.0007537747,0.0003522156,0.00028377297,0.00022125411],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.008742672,0.0050745546,0.52074414,0.0006387681,0.0003813129,0.00079469895,0.0019178399,0.059545584,0.2174488,0.0012465098,0.0010851318,0.1823799],"study_design_scores_gemma":[0.00025420723,0.038057882,0.8406973,0.000083609484,0.00042416854,0.00027350045,0.0032396682,0.037534043,0.0730008,0.00087508926,0.0054664426,0.00009330177],"about_ca_topic_score_codex":0.08770025,"about_ca_topic_score_gemma":0.19475457,"teacher_disagreement_score":0.08770025,"about_ca_system_score_codex":0.0037780092,"about_ca_system_score_gemma":0.0023238203,"threshold_uncertainty_score":0.17437953},"labels":[],"label_agreement":null},{"id":"W2109726136","doi":"10.14796/jwmm.r241-02","title":"Illinois Transient Model: Simulating the Flow Dynamics in Combined Storm Sewer Systems","year":2011,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Water Systems and Optimization","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"University of Illinois at Urbana-Champaign","keywords":"Water hammer; Mechanics; Open-channel flow; Flow (mathematics); Free surface; Potential flow; Transient (computer programming); Bernoulli's principle; Geology; Geotechnical engineering; Engineering; Physics; Computer science","score_opus":0.020129541698439432,"score_gpt":0.18463588075807852,"score_spread":0.16450633905963907,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2109726136","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":[0.3661556,0.00047417847,0.5103971,0.0008021563,0.00018812598,0.00039556573,0.0067718355,0.014095682,0.10071982],"genre_scores_gemma":[0.9180855,0.0002712961,0.052894253,0.00011369236,0.000037484715,0.00053290476,0.0044710487,0.0005404508,0.023053255],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99979836,0.000040189763,0.000009948252,0.000033564436,0.00007891296,0.000039125298],"domain_scores_gemma":[0.99958724,0.00017770621,0.000033773355,0.00003083442,0.00012563351,0.000044911332],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025545782,0.0005994079,0.00063315313,0.0005998185,0.00054808,0.00092441385,0.0013482659,0.0010631578,0.008474451],"category_scores_gemma":[0.0009861961,0.00038201248,0.0005647608,0.0007481859,0.00054729515,0.0009882,0.0008447651,0.00084046443,0.0010368505],"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":[0.000053406526,0.00003362309,0.0017203329,0.000030126323,0.000011557024,0.00006314137,0.000047544847,0.9862672,0.0013773075,0.0030764127,0.0029636133,0.004355791],"study_design_scores_gemma":[0.000012142824,0.000010292987,0.00016389716,0.000003917171,0.0000035278772,0.0000071639724,0.000009773758,0.9976388,0.00047435513,0.00032703887,0.0013442432,0.000004762005],"about_ca_topic_score_codex":0.026247317,"about_ca_topic_score_gemma":0.021652889,"teacher_disagreement_score":0.026247317,"about_ca_system_score_codex":0.001057697,"about_ca_system_score_gemma":0.0014913334,"threshold_uncertainty_score":0.05218911},"labels":[],"label_agreement":null},{"id":"W2111376425","doi":"10.14796/jwmm.r223-24","title":"Sources of Pollutants in Urban Areas (Part 2) - Recent Sheetflow Monitoring","year":2005,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Urban Stormwater Management Solutions","field":"Environmental Science","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Environmental science; Pollutant; Environmental planning; Environmental chemistry; Chemistry","score_opus":0.024228652155725575,"score_gpt":0.22546859220915305,"score_spread":0.2012399400534275,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2111376425","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":[0.9029786,0.02254236,0.0149105955,0.0009553989,0.00016866736,0.00028498896,0.017878357,0.0006014706,0.039679565],"genre_scores_gemma":[0.8905186,0.03582554,0.029290693,0.0003176088,0.0002579815,0.0002197946,0.01905204,0.00008773764,0.024430057],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9998729,0.000017661834,0.000009548621,0.0000231491,0.00006708136,0.000009633428],"domain_scores_gemma":[0.999765,0.000063922605,0.00007235212,0.000015773443,0.0000694305,0.000013552065],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027668313,0.00023461806,0.00012769792,0.0015999615,0.00022825692,0.0006452051,0.00017504467,0.00020033449,0.0012763487],"category_scores_gemma":[0.00037170722,0.0001490329,0.00017267262,0.0029407793,0.000112851056,0.00038183082,0.00026993506,0.00014632744,0.00022295587],"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":[0.00019501406,0.00024916264,0.18154821,0.0012043451,0.00010453193,0.00048669177,0.0016683158,0.019618252,0.014498768,0.00281028,0.021165699,0.7564507],"study_design_scores_gemma":[0.000015198159,0.00042403225,0.8090939,0.00029842817,0.00013898012,0.00061121874,0.0008184504,0.0054651685,0.033454932,0.0013016037,0.14831525,0.00006279829],"about_ca_topic_score_codex":0.0105741,"about_ca_topic_score_gemma":0.030636504,"teacher_disagreement_score":0.0105741,"about_ca_system_score_codex":0.00048075023,"about_ca_system_score_gemma":0.00047443557,"threshold_uncertainty_score":0.021025121},"labels":[],"label_agreement":null},{"id":"W2114325884","doi":"10.14796/jwmm.r225-20","title":"Investigation of Rapid Filling of Empty Pipes","year":2006,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Geotechnical Engineering and Underground Structures","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Conselho Nacional de Desenvolvimento Científico e Tecnológico; University of Michigan","keywords":"Pipeline (software); Mains electricity; Forensic engineering; Petroleum engineering; Geology; Engineering; Electrical engineering; Mechanical engineering","score_opus":0.010402338772272571,"score_gpt":0.17644552584407525,"score_spread":0.16604318707180268,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2114325884","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":[0.98913467,0.0003287178,0.009434837,0.000026385434,0.000014444449,0.000046635305,0.000074575546,0.00011833378,0.00082144147],"genre_scores_gemma":[0.99497664,0.00017895592,0.003808446,0.000021481377,0.00000564105,0.000019653178,0.00007754768,0.000014101623,0.0008975688],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9995969,0.00004760954,0.0000243551,0.000083789324,0.00018282379,0.00006467794],"domain_scores_gemma":[0.9991021,0.00030020188,0.00021297816,0.00008279663,0.00023455141,0.000067400615],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00043327865,0.00024824688,0.00032961808,0.00061768905,0.0003703195,0.0003915818,0.00036096168,0.00045641116,0.0012069724],"category_scores_gemma":[0.0013852174,0.00020363521,0.0002488296,0.0002930829,0.00049718906,0.00062875793,0.0004248034,0.00036651164,0.00014280638],"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":[0.0004211523,0.00014160291,0.010765881,0.0002814062,0.000011355518,0.0012665344,0.0006422326,0.0041360324,0.9591885,0.00059201394,0.00022514942,0.022328164],"study_design_scores_gemma":[0.000026875841,0.0031294993,0.05464252,0.000070249866,0.00004744128,0.0015706844,0.0010833254,0.040801343,0.89241403,0.0005612622,0.005593359,0.00005933786],"about_ca_topic_score_codex":0.00066397066,"about_ca_topic_score_gemma":0.0005630876,"teacher_disagreement_score":0.0012069724,"about_ca_system_score_codex":0.00025726607,"about_ca_system_score_gemma":0.00022093959,"threshold_uncertainty_score":0.0040376782},"labels":[],"label_agreement":null},{"id":"W2115632179","doi":"10.14796/jwmm.r206-01","title":"Infiltration Through Disturbed Urban Soils","year":2000,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Urban Stormwater Management Solutions","field":"Environmental Science","cited_by":34,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Surface runoff; Infiltration (HVAC); Soil water; Environmental science; Urban runoff; Hydrology (agriculture); Soil science; Geography; Geology; Geotechnical engineering; Stormwater; Ecology; Meteorology; Biology","score_opus":0.01614172038549917,"score_gpt":0.2162815854374867,"score_spread":0.20013986505198755,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2115632179","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":[0.9946603,0.00022455663,0.002053536,0.000017232196,0.0000040160066,0.000013105338,0.00017759285,0.00005513135,0.0027944022],"genre_scores_gemma":[0.9990115,0.0001295658,0.00021963404,0.000004090356,0.0000014521603,0.0000027715957,0.0001050824,0.0000028246086,0.00052304205],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998857,0.000016163547,0.000006146832,0.00003042588,0.00001829899,0.000043193857],"domain_scores_gemma":[0.99986875,0.000033309425,0.00004215274,0.000013068601,0.000027879067,0.00001478775],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008479754,0.0001984336,0.00019022424,0.00041087714,0.00019115042,0.00069059315,0.00014382489,0.00015228374,0.0013638488],"category_scores_gemma":[0.00038638833,0.00015327333,0.00011541374,0.0005130307,0.00028577365,0.00040042016,0.00045296006,0.00011386845,0.0002528375],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015379632,0.00022612707,0.47670498,0.0006341431,0.0001846768,0.0016103935,0.0014692685,0.094516344,0.3163962,0.0045248326,0.0014317249,0.10076331],"study_design_scores_gemma":[0.00021372802,0.0010474762,0.6619832,0.0000755305,0.0002185556,0.0024368598,0.002428115,0.16770174,0.13717014,0.0069551114,0.019676263,0.00009330188],"about_ca_topic_score_codex":0.003693646,"about_ca_topic_score_gemma":0.005276101,"teacher_disagreement_score":0.003693646,"about_ca_system_score_codex":0.0004218358,"about_ca_system_score_gemma":0.00020399841,"threshold_uncertainty_score":0.0073443055},"labels":[],"label_agreement":null},{"id":"W2119185875","doi":"10.14796/jwmm.r235-11","title":"Storm Drainage System Modeling of Edmonton's Clareview and Pilot Sound Storm Basins","year":2009,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Urban Stormwater Management Solutions","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Storm; Sound (geography); Drainage; Hydrology (agriculture); Drainage system (geomorphology); Geology; Drainage basin; Meteorology; Environmental science; Oceanography; Geography; Geotechnical engineering; Cartography","score_opus":0.02973865989397769,"score_gpt":0.22821918243087455,"score_spread":0.19848052253689685,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2119185875","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":[0.9785035,0.00016515433,0.003629001,0.0005451099,0.000028525184,0.000040151797,0.0016250821,0.00015981452,0.015303558],"genre_scores_gemma":[0.9915575,0.00008002537,0.0015648706,0.00004141341,0.000006911871,0.000028453762,0.00064306584,0.0000469403,0.006030945],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998907,0.000024448424,0.0000038351254,0.0000212669,0.000016620812,0.000043262055],"domain_scores_gemma":[0.9997396,0.00010565044,0.000020951758,0.000012658644,0.000069156464,0.000051955798],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002604267,0.0004597312,0.0005554805,0.00046596467,0.0009312277,0.001132124,0.00087194284,0.001236836,0.004054157],"category_scores_gemma":[0.0007137236,0.00059853186,0.0006425005,0.0005041646,0.0005385248,0.0005198665,0.000513897,0.0005675623,0.0001646404],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000035636524,0.00004330866,0.004621309,0.000010507678,0.00001374803,0.000077986755,0.00003787141,0.9916612,0.00032392563,0.0010307847,0.0010518949,0.0010916874],"study_design_scores_gemma":[0.000028558145,0.000009308948,0.0030091037,0.000004292356,0.0000059620975,0.0000067229385,0.000043385633,0.9961616,0.00009361667,0.00023139147,0.0003986396,0.000007376939],"about_ca_topic_score_codex":0.5007038,"about_ca_topic_score_gemma":0.45091656,"teacher_disagreement_score":0.4992962,"about_ca_system_score_codex":0.003218558,"about_ca_system_score_gemma":0.0038837295,"threshold_uncertainty_score":0.99557877},"labels":[],"label_agreement":null},{"id":"W2123621494","doi":"10.14796/jwmm.r223-17","title":"Rainfall Accuracy Considerations Using Radar and Rain Gauge Networks for Rainfall-Runoff Monitoring","year":2005,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Precipitation Measurement and Analysis","field":"Earth and Planetary Sciences","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Oklahoma Center for the Advancement of Science and Technology","keywords":"Rain gauge; Radar; Environmental science; Meteorology; Surface runoff; Remote sensing; Gauge (firearms); Runoff model; Hydrology (agriculture); Computer science; Geography; Geology; Telecommunications; Geotechnical engineering; Ecology","score_opus":0.05678404705740115,"score_gpt":0.26515283244283777,"score_spread":0.20836878538543663,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2123621494","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":[0.5269724,0.001984227,0.45029312,0.0020620422,0.00013099445,0.0003612433,0.0019971994,0.001954753,0.014244078],"genre_scores_gemma":[0.87553155,0.0003933901,0.121956736,0.00014219682,0.00007994522,0.000087920795,0.0006889051,0.00006550664,0.0010538312],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9920466,0.0036359967,0.0005723213,0.00067236857,0.0027836896,0.0002891253],"domain_scores_gemma":[0.98242915,0.00955515,0.0014126182,0.0018532408,0.0045815096,0.00016832762],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008926815,0.0005264806,0.0005455233,0.00084750156,0.00025805857,0.0013579703,0.0012649996,0.0006840977,0.0011876057],"category_scores_gemma":[0.025248973,0.0002595054,0.0002686147,0.0009507273,0.00024493007,0.0019373852,0.0006603933,0.00039769636,0.00031031808],"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":[0.0016741928,0.00030774463,0.32831535,0.00040988188,0.0002677161,0.00034099817,0.00022049613,0.32883814,0.03517359,0.006707017,0.002655528,0.29508936],"study_design_scores_gemma":[0.00013583942,0.00086168473,0.14550051,0.00011965125,0.00019061411,0.00054307637,0.00031270282,0.79534703,0.043637052,0.0035101252,0.009745021,0.00009675711],"about_ca_topic_score_codex":0.0065945243,"about_ca_topic_score_gemma":0.008304158,"teacher_disagreement_score":0.008926815,"about_ca_system_score_codex":0.00076570304,"about_ca_system_score_gemma":0.0005914183,"threshold_uncertainty_score":0.047210038},"labels":[],"label_agreement":null},{"id":"W2126918500","doi":"10.14796/jwmm.r208-02","title":"Improvements in Urban Sub-Catchment Runoff Modeling","year":2002,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Urban Stormwater Management Solutions","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Surface runoff; Environmental science; Hydrology (agriculture); Drainage basin; Urban runoff; Water resource management; Geography; Environmental planning; Stormwater; Geology; Cartography; Ecology; Geotechnical engineering","score_opus":0.023320640808607337,"score_gpt":0.20692304817015672,"score_spread":0.18360240736154937,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2126918500","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":[0.04269261,0.0002493817,0.94592726,0.00026149437,0.000042604323,0.000078800724,0.00044544836,0.0023686888,0.007933788],"genre_scores_gemma":[0.53887796,0.0015101987,0.4428617,0.00012842026,0.00007446599,0.00019552904,0.0012959477,0.0009447076,0.014111052],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996202,0.000119994555,0.00002391246,0.00007775714,0.00012731507,0.000030807983],"domain_scores_gemma":[0.9995819,0.00012345446,0.000028396638,0.000104530314,0.00014190738,0.000019808078],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00074447936,0.00048514912,0.00065017736,0.00043119767,0.0003137687,0.0008529644,0.001338235,0.00039754927,0.0032051436],"category_scores_gemma":[0.0013264511,0.0003081165,0.0008209598,0.0009902762,0.00017272697,0.0013432788,0.0008838889,0.0006728676,0.0010905738],"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":[0.00002142644,0.00004653329,0.0022057754,0.00004825742,0.000025987805,0.00004932296,0.00010067182,0.8927047,0.0032186562,0.010711316,0.0014546093,0.08941269],"study_design_scores_gemma":[0.0000029399316,0.00001236488,0.0005253167,0.000005173349,0.0000065785403,0.000017228833,0.000018673312,0.9874822,0.0008463395,0.0026347195,0.008439892,0.000008606397],"about_ca_topic_score_codex":0.01314991,"about_ca_topic_score_gemma":0.016759776,"teacher_disagreement_score":0.01314991,"about_ca_system_score_codex":0.00065130176,"about_ca_system_score_gemma":0.0007917725,"threshold_uncertainty_score":0.02614677},"labels":[],"label_agreement":null},{"id":"W2142684414","doi":"10.14796/jwmm.r208-18","title":"Development of a Management Tool for Vegetative Filter Strips","year":2002,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Soil and Water Nutrient Dynamics","field":"Environmental Science","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"University of Guelph","funders":"Division of Environmental Biology; Natural Sciences and Engineering Research Council of Canada; Ontario Ministry of Agriculture, Food and Rural Affairs; University of Guelph","keywords":"STRIPS; Filter (signal processing); Computer science; Engineering; Artificial intelligence; Computer vision","score_opus":0.027557590020366136,"score_gpt":0.21738617130123808,"score_spread":0.18982858128087193,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2142684414","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":[0.019716963,0.0000646633,0.9649739,0.00011899188,0.000028344211,0.00027451868,0.00080411485,0.00646265,0.0075559136],"genre_scores_gemma":[0.19676068,0.00030862525,0.7900646,0.00005909842,0.00001797537,0.00065498176,0.0016256857,0.0007880669,0.00972028],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99972814,0.00004376861,0.000021896612,0.000045526827,0.00013361084,0.000027017055],"domain_scores_gemma":[0.99952424,0.00018850813,0.000053328746,0.000058201003,0.0001489363,0.000026794798],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00059384905,0.0007399349,0.00042225159,0.0005948767,0.00039502612,0.0010063454,0.0015689625,0.00078193966,0.0051002926],"category_scores_gemma":[0.0011681408,0.0005297339,0.00067956076,0.0004970097,0.00024103161,0.00089284993,0.00062658667,0.0005914428,0.0010606928],"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":[0.000096537915,0.00024673034,0.0068420656,0.00036544312,0.00004765629,0.00042008486,0.00044011502,0.7604627,0.025482133,0.020344203,0.010138385,0.1751139],"study_design_scores_gemma":[0.000035507124,0.000067136876,0.0007880884,0.000050276773,0.000017993672,0.00009369971,0.00006032407,0.9628699,0.006590901,0.002703152,0.02669439,0.000028642251],"about_ca_topic_score_codex":0.00841704,"about_ca_topic_score_gemma":0.008522763,"teacher_disagreement_score":0.00841704,"about_ca_system_score_codex":0.0006072431,"about_ca_system_score_gemma":0.0014991538,"threshold_uncertainty_score":0.017062128},"labels":[],"label_agreement":null},{"id":"W2143062943","doi":"10.14796/jwmm.r208-06","title":"Robustness of the Rainpak Algorithm for Storm Direction and Speed","year":2002,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Metaheuristic Optimization Algorithms Research","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Philips (Canada); University of Guelph","funders":"","keywords":"Robustness (evolution); Storm; Algorithm; Computer science; Speedup; Meteorology; Geography; Parallel computing","score_opus":0.04076184767571714,"score_gpt":0.25778022770569653,"score_spread":0.2170183800299794,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2143062943","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":[0.13350096,0.00036699447,0.8599339,0.0004511503,0.00006961512,0.00014947934,0.00015633793,0.0009659633,0.004405626],"genre_scores_gemma":[0.8219664,0.00021572628,0.17541142,0.00013411073,0.00004202495,0.00016064857,0.0002816729,0.00029532076,0.0014926608],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9976859,0.0008262689,0.00013547654,0.0004620781,0.00059121486,0.0002991027],"domain_scores_gemma":[0.9889215,0.0076601137,0.000981226,0.0011063623,0.0010592052,0.00027151682],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005283912,0.00080082956,0.0013199451,0.00081399386,0.0010361494,0.0019921977,0.001545615,0.0011674316,0.0012415183],"category_scores_gemma":[0.028834965,0.0005040195,0.0006154346,0.0006437559,0.001591445,0.0017405603,0.0017030468,0.001572028,0.00035530192],"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":[0.00027399708,0.000025968833,0.002317454,0.000031270964,0.00005983536,0.00002588215,0.00004682631,0.9586354,0.0012191214,0.007994938,0.0005121942,0.028857173],"study_design_scores_gemma":[0.000012390399,0.000016654702,0.0001689878,0.0000049425494,0.0000048981688,0.000008695606,0.00000935487,0.9966365,0.0005496917,0.0024019794,0.0001813941,0.0000044579283],"about_ca_topic_score_codex":0.008701812,"about_ca_topic_score_gemma":0.0034498707,"teacher_disagreement_score":0.008701812,"about_ca_system_score_codex":0.0019844698,"about_ca_system_score_gemma":0.00376172,"threshold_uncertainty_score":0.027944326},"labels":[],"label_agreement":null},{"id":"W2143470502","doi":"10.14796/jwmm.r228-24","title":"Probabilistic versus Regression Modeling for Disinfection Byproducts","year":2008,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Bayesian Modeling and Causal Inference","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Probabilistic logic; Graphical model; Bayesian network; Machine learning; Computer science; Regression analysis; Regression; Artificial intelligence; Markov chain; Set (abstract data type); Data mining; Bayesian probability; Statistical model; Data set; Probabilistic relevance model; Markov model; Mathematics; Probabilistic analysis of algorithms; Statistics","score_opus":0.07965795249693841,"score_gpt":0.2783072623432244,"score_spread":0.19864930984628598,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2143470502","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":[0.024189856,0.0018505349,0.9647787,0.00077246747,0.00006243566,0.000043408654,0.0002620065,0.00023726706,0.007803353],"genre_scores_gemma":[0.7960305,0.006403621,0.17810923,0.00027181546,0.00014577858,0.0003053776,0.00065400323,0.00015544044,0.017924296],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991104,0.0003842658,0.000032290587,0.00018018937,0.00023835452,0.00005447839],"domain_scores_gemma":[0.99783057,0.0016491356,0.00025240282,0.000067229375,0.00017203383,0.000028629462],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018690588,0.00088281237,0.00076243264,0.0010151438,0.00040007048,0.0011068659,0.0013556643,0.0011206656,0.0040074945],"category_scores_gemma":[0.005527566,0.0005177075,0.0009018011,0.0012217148,0.00062519737,0.0024207619,0.0006176538,0.0010925885,0.00053897465],"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":[0.000042059433,0.000046825695,0.0011974769,0.00011153981,0.000038873433,0.000057739468,0.00004903277,0.8740638,0.0011457837,0.09559952,0.0007196646,0.026927684],"study_design_scores_gemma":[0.000002321767,0.000012068746,0.00021957661,0.000008098463,0.000009175213,0.000017542683,0.0000075468993,0.9678559,0.00023657588,0.030616619,0.0010082931,0.0000062918607],"about_ca_topic_score_codex":0.008635217,"about_ca_topic_score_gemma":0.008542396,"teacher_disagreement_score":0.008635217,"about_ca_system_score_codex":0.001376813,"about_ca_system_score_gemma":0.0007693421,"threshold_uncertainty_score":0.017169893},"labels":[],"label_agreement":null},{"id":"W2144887350","doi":"10.14796/jwmm.r207-20","title":"Development and Use of Continuous SWMM for CSO Notification for the City of Detroit","year":2001,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Urban Stormwater Management Solutions","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; Architectural engineering; Engineering","score_opus":0.06552307180382047,"score_gpt":0.2406658969449689,"score_spread":0.17514282514114843,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2144887350","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":[0.33950597,0.000099479104,0.6164218,0.00083721447,0.00019711805,0.0010318087,0.013363985,0.015110236,0.013432374],"genre_scores_gemma":[0.53781307,0.00006434796,0.45136473,0.00007488551,0.00002595562,0.0006689811,0.0064978446,0.0003370634,0.0031530908],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992362,0.00021431368,0.00006542847,0.00014550894,0.00027993065,0.000058656016],"domain_scores_gemma":[0.9978594,0.00036753976,0.00015391735,0.00019093989,0.0012962136,0.00013194799],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018499276,0.0005566712,0.00027259556,0.0008524176,0.00049477204,0.00093479786,0.0011259496,0.00040581706,0.0018208268],"category_scores_gemma":[0.004042794,0.00048961415,0.0005666413,0.0009991426,0.00013529252,0.0005753318,0.00056592555,0.000534997,0.0006534704],"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":[0.0002958712,0.00044623206,0.16941188,0.00021879922,0.00027096245,0.00038429254,0.00059722504,0.4156161,0.015306678,0.0030028971,0.017077096,0.377372],"study_design_scores_gemma":[0.00006031923,0.000058209935,0.029610174,0.000019283745,0.000027593569,0.000030441082,0.00018027241,0.95720613,0.00565553,0.00036376007,0.006738595,0.00004960892],"about_ca_topic_score_codex":0.13037372,"about_ca_topic_score_gemma":0.1316904,"teacher_disagreement_score":0.13037372,"about_ca_system_score_codex":0.0011149128,"about_ca_system_score_gemma":0.0022797936,"threshold_uncertainty_score":0.25922972},"labels":[],"label_agreement":null},{"id":"W2148768368","doi":"10.14796/jwmm.r208-21","title":"Web Graduate Courses on Benign Urban Water Systems: Optimal Complexity and User Performance Improvement","year":2002,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Complex Systems and Decision Making","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"University of Pittsburgh","keywords":"Graduate students; Web application; Dual (grammatical number); Medical education; Computer science; World Wide Web; Medicine; Art","score_opus":0.23405223184958504,"score_gpt":0.3347955116745718,"score_spread":0.10074327982498674,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2148768368","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":[0.973444,0.000043251788,0.008743846,0.0004832869,0.00003189114,0.00023694297,0.00017145237,0.0005810174,0.016264351],"genre_scores_gemma":[0.9706944,0.000071886854,0.013692215,0.00013821367,0.000035252167,0.00018316608,0.00031872245,0.00008078633,0.014785279],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996413,0.00011516699,0.000017902043,0.000059874306,0.000074381445,0.00009146299],"domain_scores_gemma":[0.9965084,0.0013390366,0.00020724536,0.0003020174,0.00043110864,0.0012121237],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012808728,0.0005241468,0.00056927756,0.0005494839,0.0006625809,0.001106419,0.0004840802,0.00059241906,0.022074016],"category_scores_gemma":[0.0059936503,0.00020886416,0.00024467192,0.00043394597,0.00030349928,0.00057381677,0.0016036249,0.0005922201,0.003570241],"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":[0.0038624492,0.021488974,0.098185174,0.00020282718,0.000056427758,0.0004620238,0.003379409,0.014973855,0.021009492,0.0039182003,0.027490046,0.80497104],"study_design_scores_gemma":[0.0016523387,0.038370006,0.41857395,0.00016565988,0.00022525647,0.0011968063,0.009671877,0.28645784,0.09934327,0.021087762,0.12302591,0.0002293494],"about_ca_topic_score_codex":0.00075813377,"about_ca_topic_score_gemma":0.0017021276,"teacher_disagreement_score":0.022074016,"about_ca_system_score_codex":0.00054851867,"about_ca_system_score_gemma":0.0006981575,"threshold_uncertainty_score":0.07384491},"labels":[],"label_agreement":null},{"id":"W2152194889","doi":"10.14796/jwmm.r246-24","title":"Water Engineering Without Borders: Opportunities for Solving Water System Problems Throughout the World","year":2013,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Transboundary Water Resource Management","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Business; Engineering; Engineering management; Computer science; Political science","score_opus":0.053882248703096436,"score_gpt":0.2778778116600837,"score_spread":0.22399556295698725,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2152194889","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":[0.06782237,0.048533157,0.415663,0.11687501,0.0021886798,0.00022360092,0.00018691039,0.0007151614,0.34779215],"genre_scores_gemma":[0.53672,0.074181974,0.34554905,0.005673202,0.0008569515,0.00031035868,0.00024411322,0.00034659042,0.03611772],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99910164,0.00047259673,0.000028796823,0.00006135066,0.00019988022,0.00013578283],"domain_scores_gemma":[0.99893993,0.0005879541,0.00006899843,0.00011633934,0.00010036895,0.0001864456],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002564841,0.0006101159,0.0005028824,0.0006893513,0.002531293,0.004223215,0.0008734942,0.0024904783,0.005778989],"category_scores_gemma":[0.0021681571,0.00047506593,0.00076542614,0.0010247915,0.0025956477,0.01060347,0.0057640113,0.002448527,0.00068386825],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000034314642,0.0002099226,0.0020001042,0.00065004796,0.00004747675,0.00071927265,0.00536262,0.03340993,0.0019138288,0.688154,0.028400958,0.23909758],"study_design_scores_gemma":[0.00001616811,0.00008386765,0.0007575298,0.0007301946,0.000020557476,0.00034205065,0.011909221,0.017600503,0.00072868506,0.49830467,0.4694589,0.000047693153],"about_ca_topic_score_codex":0.002749465,"about_ca_topic_score_gemma":0.00771374,"teacher_disagreement_score":0.005778989,"about_ca_system_score_codex":0.0011789011,"about_ca_system_score_gemma":0.004238153,"threshold_uncertainty_score":0.019332647},"labels":[],"label_agreement":null},{"id":"W2152369070","doi":"10.14796/jwmm.c393","title":"Rainfall Intensities for Buried Municipal Stormwater System Design","year":2015,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Hydrology and Drought Analysis","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"University of Guelph","funders":"Ontario Research Foundation","keywords":"Stormwater; Stormwater management; Environmental science; Hydrology (agriculture); Civil engineering; Meteorology; Surface runoff; Geography; Geology; Engineering; Geotechnical engineering","score_opus":0.05145303541980124,"score_gpt":0.2430544491831593,"score_spread":0.19160141376335807,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2152369070","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":[0.3598011,0.00025855115,0.5873054,0.00045091822,0.000043864562,0.00040813864,0.0028940856,0.0016727771,0.047165103],"genre_scores_gemma":[0.91782403,0.00015858363,0.07738413,0.00002518255,0.000013574981,0.000109979,0.00053663703,0.000089153196,0.0038586902],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997491,0.0000823041,0.000016466158,0.000034382498,0.0000893619,0.000028339347],"domain_scores_gemma":[0.99934214,0.00022246304,0.00015169359,0.000086455904,0.00016122033,0.0000360692],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006229242,0.00029050157,0.0002573961,0.00039263908,0.00023265311,0.00046849798,0.0005518729,0.00023098105,0.00504472],"category_scores_gemma":[0.0031411797,0.00018848592,0.00023108591,0.0008235925,0.00013143924,0.00037636887,0.00043383244,0.00029708905,0.00039736537],"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":[0.00022353503,0.000079065736,0.03676306,0.00013848481,0.000029265095,0.00013042937,0.00017716634,0.74817485,0.00954157,0.017793113,0.0051230495,0.18182641],"study_design_scores_gemma":[0.000029968218,0.0001266843,0.029670494,0.000037467882,0.0000259455,0.000065207576,0.00015831884,0.9451236,0.0036520658,0.009782191,0.011295315,0.000032759606],"about_ca_topic_score_codex":0.015070179,"about_ca_topic_score_gemma":0.032246217,"teacher_disagreement_score":0.015070179,"about_ca_system_score_codex":0.001072057,"about_ca_system_score_gemma":0.0010145038,"threshold_uncertainty_score":0.029964924},"labels":[],"label_agreement":null},{"id":"W2152512592","doi":"10.14796/jwmm.r236-20","title":"Development of a Total Phosphorus Removal Model for Bioretention Systems","year":2010,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","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":true,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Bioretention; Stormwater; Environmental science; Stormwater management; Phosphorus; Low-impact development; Environmental engineering; Ecosystem; Water resource management; Surface runoff; Ecology; Chemistry; Biology","score_opus":0.024479932049384104,"score_gpt":0.22488719011820932,"score_spread":0.2004072580688252,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2152512592","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":[0.28840187,0.0004373113,0.6564894,0.0009750233,0.00023558733,0.00047973724,0.002990716,0.0019988385,0.04799156],"genre_scores_gemma":[0.8893846,0.00052632886,0.08581291,0.00023640704,0.0000691869,0.0008517226,0.0013057817,0.00037665246,0.02143635],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999019,0.000013326733,0.000006834658,0.000025985524,0.00002820917,0.000023741955],"domain_scores_gemma":[0.9997738,0.00008262197,0.000025076997,0.0000152283865,0.00008113681,0.000022128812],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027655787,0.00069164793,0.0008730373,0.00029340107,0.00086765277,0.00088367163,0.0018009337,0.0014892351,0.003042094],"category_scores_gemma":[0.0006412425,0.00059776794,0.0012715153,0.00033675067,0.00039203506,0.0009793004,0.00064717495,0.001369964,0.00051970425],"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":[0.000010242384,0.000016542976,0.00025765525,0.000018309609,0.000007973833,0.00003705386,0.000012842442,0.99557084,0.0011241846,0.0014842597,0.00020776264,0.0012522893],"study_design_scores_gemma":[0.000006252198,0.000005581738,0.000047686593,0.0000017139668,0.00000330371,0.0000040001933,0.000003444901,0.99885905,0.00035633144,0.00035354833,0.00035586278,0.0000032238297],"about_ca_topic_score_codex":0.044110373,"about_ca_topic_score_gemma":0.017624663,"teacher_disagreement_score":0.044110373,"about_ca_system_score_codex":0.001307091,"about_ca_system_score_gemma":0.0024576576,"threshold_uncertainty_score":0.08770722},"labels":[],"label_agreement":null},{"id":"W2154498434","doi":"10.14796/jwmm.r227-13","title":"Continuous Distributed Modeling for Evaluation of Stormwater Quality Impacts from Urban Development","year":2007,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Stormwater; Surface runoff; Environmental science; Low-impact development; Sediment; Stormwater management; Water quality; Water resource management; Hydrology (agriculture); Environmental engineering; Environmental planning; Geology; Geotechnical engineering; Ecology","score_opus":0.04653847412519313,"score_gpt":0.29631643196869156,"score_spread":0.24977795784349843,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2154498434","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":[0.32763362,0.0003705108,0.65138745,0.00037280118,0.00013556515,0.00021645821,0.002199719,0.0023343312,0.015349519],"genre_scores_gemma":[0.95939636,0.00017855772,0.033845592,0.000038413942,0.000028588394,0.00024396477,0.0008241337,0.00013237557,0.0053120377],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99966574,0.00015026033,0.0000157023,0.000051560448,0.00006672831,0.00005001601],"domain_scores_gemma":[0.998741,0.0008459136,0.00008469835,0.00008884399,0.00018688817,0.000052756524],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011159244,0.0007295467,0.00069346966,0.00053522416,0.00039030143,0.00081134506,0.0009349118,0.00090477685,0.0044639977],"category_scores_gemma":[0.0031480733,0.0003683218,0.00079646887,0.00084349024,0.00036087254,0.0006586356,0.00072341354,0.00073527073,0.00052781164],"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":[0.000021686012,0.000025741507,0.0008516343,0.0000075794806,0.000010346552,0.000014011306,0.000009228825,0.99511576,0.0001257301,0.00087199156,0.00021014224,0.0027361817],"study_design_scores_gemma":[0.000004255914,0.000008873039,0.00019734392,7.9929356e-7,0.0000020194425,0.0000014048039,0.0000058008022,0.9992392,0.00004173448,0.00036071337,0.00013664427,0.0000011798686],"about_ca_topic_score_codex":0.03273275,"about_ca_topic_score_gemma":0.017569466,"teacher_disagreement_score":0.03273275,"about_ca_system_score_codex":0.0009660269,"about_ca_system_score_gemma":0.00091967155,"threshold_uncertainty_score":0.06508446},"labels":[],"label_agreement":null},{"id":"W2154881819","doi":"10.14796/jwmm.r223-22","title":"Surface Infiltration Rate of Permeable Pavements","year":2005,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Urban Stormwater Management Solutions","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Surface runoff; Asphalt; Infiltration (HVAC); Environmental science; Pollutant; Geotechnical engineering; Asphalt pavement; Surface water; Environmental engineering; Materials science; Geology; Chemistry; Composite material; Ecology; Biology","score_opus":0.020527552257888798,"score_gpt":0.22209035073610847,"score_spread":0.20156279847821967,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2154881819","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":[0.9995109,0.000026117943,0.0002059689,0.0000018393021,4.1678996e-7,0.0000018736232,0.000033753004,0.0000066482494,0.00021254798],"genre_scores_gemma":[0.9993814,0.000026055926,0.00018043567,0.000001825424,4.8753486e-7,0.0000019900351,0.00010980012,0.0000032218634,0.00029470306],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996245,0.000046923884,0.000021113736,0.000092376984,0.00014321442,0.00007190821],"domain_scores_gemma":[0.99926275,0.00014646398,0.0002663272,0.00005797878,0.00020702042,0.00005937046],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019943815,0.00017032443,0.00016238439,0.00025788986,0.00013706589,0.00038052228,0.00016785925,0.000113025744,0.00061762496],"category_scores_gemma":[0.00077470636,0.00010272793,0.00015461881,0.00021610534,0.00013555464,0.00026901043,0.00022950736,0.00016602865,0.0001561867],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00038766273,0.000043030974,0.48945546,0.00007285863,0.00004816125,0.00024025756,0.0005175976,0.0029690128,0.48486972,0.000054326574,0.00009734817,0.02124454],"study_design_scores_gemma":[0.0000039711576,0.00044643602,0.89450693,0.0000068285262,0.000033125834,0.00024874226,0.0002841083,0.002465814,0.10131159,0.000017271155,0.00066028413,0.000015029071],"about_ca_topic_score_codex":0.011356858,"about_ca_topic_score_gemma":0.012085471,"teacher_disagreement_score":0.011356858,"about_ca_system_score_codex":0.00033472184,"about_ca_system_score_gemma":0.00012625661,"threshold_uncertainty_score":0.022581518},"labels":[],"label_agreement":null},{"id":"W2155014879","doi":"10.14796/jwmm.r241-17","title":"Kiski Valley WPCA Combined Sewer System Long Term Model Study","year":2011,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Urban Stormwater Management Solutions","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Combined sewer; Sanitary sewer; Term (time); Environmental science; Hydrology (agriculture); Water resource management; Sewerage; Environmental engineering; Civil engineering; Engineering; Geotechnical engineering; Stormwater","score_opus":0.04102016186503276,"score_gpt":0.22185375373243113,"score_spread":0.18083359186739836,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2155014879","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":[0.9535998,0.00016718582,0.0050638127,0.00042669053,0.000047128335,0.00023903452,0.014117564,0.0003082752,0.02603047],"genre_scores_gemma":[0.9652681,0.00017574953,0.006165081,0.000101188925,0.000019419584,0.0005902644,0.012770868,0.00013740775,0.014771859],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998518,0.000028299532,0.0000071688205,0.00004051649,0.00003144025,0.000040665214],"domain_scores_gemma":[0.99936086,0.00017791183,0.000058462883,0.00006681027,0.00028046744,0.000055509867],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003886694,0.0006977023,0.0008404664,0.0005343887,0.0008729592,0.0016176946,0.002116656,0.0011953213,0.005370125],"category_scores_gemma":[0.00090450316,0.00046330126,0.00082352816,0.0009834025,0.00035859062,0.0008269996,0.00053776545,0.0013493018,0.0007717902],"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":[0.00023683775,0.00043486163,0.020550337,0.00009877179,0.00014592109,0.00034940263,0.00007014864,0.9590362,0.0010918791,0.0022962918,0.009535595,0.006153819],"study_design_scores_gemma":[0.00015983301,0.00008851414,0.008914294,0.000014527301,0.000055740744,0.000032045653,0.00013461174,0.98536694,0.00049062923,0.0004397523,0.0042741094,0.00002901903],"about_ca_topic_score_codex":0.2613288,"about_ca_topic_score_gemma":0.24562867,"teacher_disagreement_score":0.2613288,"about_ca_system_score_codex":0.0021063876,"about_ca_system_score_gemma":0.0027130353,"threshold_uncertainty_score":0.5196154},"labels":[],"label_agreement":null},{"id":"W2156064039","doi":"10.14796/jwmm.r228-22","title":"An Explicit Conduit Storage Synthesis Algorithm for Solving Decoupled Forcemain Networks","year":2008,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Hydraulic flow and structures","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Coquitlam College","funders":"","keywords":"Electrical conduit; Computer science; Flow (mathematics); Algorithm; Unsteady flow; Control theory (sociology); Mechanics; Physics; Telecommunications; Artificial intelligence","score_opus":0.015229773824862892,"score_gpt":0.21447592664553067,"score_spread":0.19924615282066777,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2156064039","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":[0.009571712,0.000068569876,0.9832924,0.000066047796,0.000030055658,0.000035387686,0.000066649285,0.0006043799,0.0062647765],"genre_scores_gemma":[0.3454577,0.00017422735,0.63938504,0.00009559207,0.0000352875,0.0002542107,0.00028842004,0.00025411023,0.014055494],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9999155,0.000011739199,0.000004893864,0.000019994184,0.000035086272,0.0000127995],"domain_scores_gemma":[0.9998429,0.00007623505,0.000010824613,0.000019247664,0.000042126532,0.000008638056],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021240763,0.00060955563,0.00036914842,0.00023374638,0.00052087364,0.0005701684,0.0009205171,0.00067873235,0.0069227573],"category_scores_gemma":[0.0007757694,0.00032780142,0.0003677145,0.0003751556,0.0003595669,0.00077853474,0.0005705541,0.0006112296,0.0008931405],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000096818105,0.000049227667,0.00027622384,0.00011387439,0.000017585204,0.00011009205,0.00009537673,0.815575,0.010977801,0.0383514,0.0033998818,0.13093664],"study_design_scores_gemma":[0.000015860525,0.000015364796,0.00003012082,0.0000047866765,0.000003767719,0.000015040495,0.000006619392,0.992831,0.0019011009,0.003234736,0.0019374029,0.000004171408],"about_ca_topic_score_codex":0.0074709114,"about_ca_topic_score_gemma":0.010633738,"teacher_disagreement_score":0.0074709114,"about_ca_system_score_codex":0.00044816965,"about_ca_system_score_gemma":0.0010656025,"threshold_uncertainty_score":0.023158908},"labels":[],"label_agreement":null},{"id":"W2158068093","doi":"10.14796/jwmm.r215-05","title":"Modeling as a Tool for Economic Analysis of Basement Flood Relief Projects","year":2003,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Public-Private Partnership Projects","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Flood myth; Basement; Economic analysis; Geology; Civil engineering; Construction engineering; Engineering; History; Archaeology; Economics; Agricultural economics","score_opus":0.039110246489506555,"score_gpt":0.26029064817006886,"score_spread":0.2211804016805623,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2158068093","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":[0.17362931,0.00096567086,0.7610205,0.0014959278,0.00016631077,0.0003870316,0.0027976516,0.0010308307,0.058506727],"genre_scores_gemma":[0.81899637,0.0012365879,0.1646637,0.00008418594,0.00009410869,0.000785446,0.00127962,0.00027299457,0.012587024],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994568,0.00029421615,0.000029821093,0.00004610723,0.000096024996,0.000077053766],"domain_scores_gemma":[0.99832803,0.0012369032,0.00012193426,0.000069524365,0.00015615454,0.00008745369],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014545034,0.0011185367,0.0008216121,0.0013500416,0.00081010786,0.0026465068,0.0015003134,0.0014266064,0.0057766964],"category_scores_gemma":[0.0045354986,0.0007293487,0.0010102532,0.001695059,0.0005184006,0.0016203878,0.0010626323,0.0011261109,0.00052702636],"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":[0.000010689152,0.000027260925,0.0005945266,0.000015004373,0.000011522291,0.000043744552,0.000027451973,0.9792941,0.00007468051,0.015758416,0.0005368926,0.003605756],"study_design_scores_gemma":[0.000003918042,0.000005488708,0.00009558998,0.0000044327676,0.0000029639139,0.0000059994736,0.000022647477,0.9945155,0.000030455869,0.004224197,0.001086051,0.000002775069],"about_ca_topic_score_codex":0.042118933,"about_ca_topic_score_gemma":0.030191693,"teacher_disagreement_score":0.042118933,"about_ca_system_score_codex":0.002245065,"about_ca_system_score_gemma":0.0023301756,"threshold_uncertainty_score":0.083747566},"labels":[],"label_agreement":null},{"id":"W2158769981","doi":"10.14796/jwmm.c387","title":"A Simplified Approach to Pollutant Load Modeling","year":2015,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Urban Stormwater Management Solutions","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Pollutant; Environmental science; Computer science; Biology; Ecology","score_opus":0.05566099034252572,"score_gpt":0.2368038904905886,"score_spread":0.18114290014806286,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2158769981","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":[0.010953437,0.00080957595,0.93072176,0.00123866,0.00028663076,0.00015036944,0.0033620617,0.0010621367,0.051415425],"genre_scores_gemma":[0.51722854,0.0043136566,0.33840477,0.0011192284,0.00070815877,0.0012020927,0.0050833696,0.0012025342,0.13073766],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994733,0.00012037438,0.000036491856,0.000114154296,0.00019294544,0.000062860265],"domain_scores_gemma":[0.99956805,0.00013475436,0.000035588044,0.00005029355,0.0001879798,0.000023293669],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004384895,0.0010797925,0.0013195387,0.0009515632,0.0010324578,0.0019986662,0.003244839,0.0021655497,0.011279636],"category_scores_gemma":[0.00165041,0.00069187576,0.0019052023,0.0016362423,0.0005043843,0.0021590889,0.0013792956,0.0017588582,0.0030597565],"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":[0.000020902888,0.000049063572,0.00045708276,0.00009638373,0.000034768364,0.00014078154,0.00007713522,0.91372466,0.0019941293,0.064058475,0.0051121954,0.014234433],"study_design_scores_gemma":[0.0000064975993,0.000010576388,0.000108285996,0.000008010253,0.000012142796,0.00002491559,0.0000140602015,0.9790797,0.00023035188,0.011917278,0.008577057,0.000010988949],"about_ca_topic_score_codex":0.056435313,"about_ca_topic_score_gemma":0.027948692,"teacher_disagreement_score":0.056435313,"about_ca_system_score_codex":0.0015965695,"about_ca_system_score_gemma":0.0024805358,"threshold_uncertainty_score":0.11221367},"labels":[],"label_agreement":null},{"id":"W2160760160","doi":"10.14796/jwmm.r220-02","title":"Radar-Rainfall Technology Integration into Hydrologic and Hydraulic Modeling Projects","year":2004,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Precipitation Measurement and Analysis","field":"Earth and Planetary Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Hydrological modelling; Environmental science; Vflo; Radar; Hydrology (agriculture); Meteorology; Engineering; Geology; Geography; Climatology; Runoff curve number; Geotechnical engineering; Aerospace engineering; Cartography; Drainage basin","score_opus":0.025784645283958265,"score_gpt":0.21765338456669464,"score_spread":0.19186873928273637,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2160760160","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":[0.016031008,0.0002496834,0.97235596,0.00016189717,0.000052008047,0.00012375074,0.00029456645,0.002448751,0.0082824575],"genre_scores_gemma":[0.18393242,0.0011532123,0.8023154,0.00015457113,0.000091445785,0.00030264928,0.0016462951,0.0004540374,0.009949961],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9989102,0.00032016588,0.00008278996,0.00018483943,0.00042080253,0.00008117952],"domain_scores_gemma":[0.9989427,0.0003969188,0.00010664764,0.00016016014,0.00034776554,0.000045785455],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017271751,0.00048821187,0.0005977665,0.0011050985,0.00030211528,0.0013900627,0.0008468965,0.00051861233,0.0039014772],"category_scores_gemma":[0.003582867,0.00047846555,0.0005207495,0.0012504298,0.00017593839,0.0023529038,0.0011370318,0.000786098,0.001529079],"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":[0.0001338334,0.00032180187,0.012782286,0.0003739124,0.00012445057,0.0002982776,0.0005020174,0.12051611,0.037643135,0.08369577,0.0048990306,0.7387094],"study_design_scores_gemma":[0.00010566928,0.00038156792,0.013282083,0.00021096332,0.00019542089,0.0005346947,0.0003359979,0.7341429,0.09774158,0.037542433,0.11539988,0.00012688346],"about_ca_topic_score_codex":0.0017458186,"about_ca_topic_score_gemma":0.0018494917,"teacher_disagreement_score":0.0039014772,"about_ca_system_score_codex":0.000359949,"about_ca_system_score_gemma":0.0009496563,"threshold_uncertainty_score":0.013051748},"labels":[],"label_agreement":null},{"id":"W2161321366","doi":"10.14796/jwmm.c375","title":"The Four National Taps of Singapore: A Holistic Approach to Water Resources Management from Drainage to Drinking Water","year":2014,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Membrane Separation Technologies","field":"Environmental Science","cited_by":50,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Nanyang Technological University","keywords":"Surface runoff; Stormwater; Environmental science; Environmental planning; Water resources; Sewerage; Water supply; Water resource management; Drainage; Environmental engineering; Business","score_opus":0.032334253715551896,"score_gpt":0.237194082108261,"score_spread":0.2048598283927091,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2161321366","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":[0.2940191,0.009596619,0.27525043,0.04082061,0.00042966323,0.00066921255,0.0016654182,0.0005756719,0.37697333],"genre_scores_gemma":[0.8953167,0.0076302877,0.064103715,0.0010004942,0.00005719216,0.00026374636,0.0002904042,0.00004931415,0.031288162],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9996074,0.00017823902,0.000023259114,0.000042656047,0.00009868936,0.00004982015],"domain_scores_gemma":[0.99984527,0.000017526945,0.000021894206,0.000013674286,0.00004186291,0.000059750637],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000530834,0.00035527468,0.00023585207,0.00051682204,0.0007261698,0.0025098622,0.0007064147,0.00063524634,0.0023834647],"category_scores_gemma":[0.00030604986,0.00022574133,0.00038145535,0.00095342274,0.000997045,0.0019514868,0.0027333458,0.0006738067,0.00018944914],"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":[0.000088007284,0.0002125045,0.024266358,0.0009860725,0.00019860988,0.001861371,0.004423784,0.10535542,0.009074462,0.540274,0.030332306,0.28292713],"study_design_scores_gemma":[0.00004636455,0.00045050355,0.046150696,0.0008696982,0.00017758583,0.0012510666,0.01872055,0.18256602,0.0051352754,0.27096838,0.4734733,0.00019056683],"about_ca_topic_score_codex":0.02074459,"about_ca_topic_score_gemma":0.06226061,"teacher_disagreement_score":0.02074459,"about_ca_system_score_codex":0.002986538,"about_ca_system_score_gemma":0.008192384,"threshold_uncertainty_score":0.041247666},"labels":[],"label_agreement":null},{"id":"W2162815230","doi":"10.14796/jwmm.r241-01","title":"Numeric Modeling of Water Mains Filling Considering Air Pressurization","year":2011,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Water Systems and Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Cabin pressurization; Mains electricity; Environmental science; Mechanics; Materials science; Engineering; Composite material; Electrical engineering; Physics","score_opus":0.026500999951983524,"score_gpt":0.1848230562226925,"score_spread":0.15832205627070897,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2162815230","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":[0.5192218,0.00078056986,0.41906774,0.00069958495,0.00015049416,0.00015555104,0.0007307898,0.00084401504,0.058349505],"genre_scores_gemma":[0.97155094,0.00037384193,0.01859568,0.000040018153,0.000030019495,0.00012043683,0.00015959915,0.000066577406,0.0090628425],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999031,0.000023329627,0.0000062844756,0.000018478888,0.000025426387,0.000023374701],"domain_scores_gemma":[0.9998385,0.00007643265,0.000026993459,0.000011032104,0.00003146761,0.000015582647],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018221748,0.00047448007,0.00066589075,0.00030565736,0.0005273382,0.0009079462,0.0006564095,0.0012685928,0.0019450855],"category_scores_gemma":[0.00061522843,0.00029332333,0.0006778674,0.0003218088,0.00075180765,0.0004887256,0.0005122408,0.00045161575,0.00024945196],"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":[0.00001933491,0.000015251111,0.00046142406,0.000025974332,0.0000039854353,0.00007978606,0.000033426084,0.99163276,0.002606897,0.0035332588,0.00012603232,0.0014619762],"study_design_scores_gemma":[0.0000042444653,0.000010078629,0.00016820303,0.000002628759,0.0000023970574,0.000011938914,0.000007731512,0.9986833,0.00028023426,0.00048502427,0.0003415136,0.0000026855298],"about_ca_topic_score_codex":0.010963294,"about_ca_topic_score_gemma":0.0040179687,"teacher_disagreement_score":0.010963294,"about_ca_system_score_codex":0.00078960264,"about_ca_system_score_gemma":0.0010606075,"threshold_uncertainty_score":0.021798968},"labels":[],"label_agreement":null},{"id":"W2164476576","doi":"10.14796/jwmm.r207-12","title":"DEM Applications in Hydrologic Modeling","year":2001,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Digital elevation model; Hydrological modelling; Computer science; Software; GIS applications; Geographic information system; Remote sensing; Geology; Climatology; Programming language","score_opus":0.020391954359236367,"score_gpt":0.2309415727547999,"score_spread":0.21054961839556352,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2164476576","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":[0.006407666,0.0039526746,0.93535316,0.00138185,0.00032988447,0.00014849544,0.004178722,0.01282013,0.035427403],"genre_scores_gemma":[0.10171014,0.011843756,0.8672556,0.00034853735,0.00026475932,0.00037569067,0.00513407,0.0018069114,0.011260552],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99948597,0.00022452815,0.00005946794,0.00006213682,0.00014925009,0.000018617791],"domain_scores_gemma":[0.99862194,0.0008297689,0.00005815029,0.00019586721,0.00025704724,0.00003731299],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012120226,0.0008157371,0.0005963225,0.0022444585,0.0004930323,0.0013587219,0.0008382905,0.000916085,0.015060379],"category_scores_gemma":[0.004479751,0.0006398271,0.0006620498,0.0045602918,0.0003151871,0.0015111545,0.0015618749,0.0010361089,0.0041214647],"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":[0.000061995765,0.000073623196,0.004342388,0.0009157012,0.0001286032,0.00079169485,0.00043293744,0.2970773,0.003980021,0.10400459,0.059914034,0.5282771],"study_design_scores_gemma":[0.000039014947,0.000027311684,0.0017414246,0.00034060355,0.000054852455,0.00059504283,0.00025015057,0.5505434,0.005150851,0.1086034,0.332591,0.000062916966],"about_ca_topic_score_codex":0.0029822858,"about_ca_topic_score_gemma":0.0031901044,"teacher_disagreement_score":0.015060379,"about_ca_system_score_codex":0.00048155495,"about_ca_system_score_gemma":0.000408576,"threshold_uncertainty_score":0.05038196},"labels":[],"label_agreement":null},{"id":"W2166947037","doi":"10.14796/jwmm.r207-11","title":"An ArcView GIS tool for SWMM","year":2001,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Geographic Information Systems Studies","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; GIS applications; Geographic information system; Database; Geography; Remote sensing","score_opus":0.04783881827048004,"score_gpt":0.3179511830402852,"score_spread":0.27011236476980516,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2166947037","genre_codex":"methods","genre_gemma":"software","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"software","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.003551888,0.00022853514,0.57535684,0.00046482254,0.00034704703,0.00039274685,0.11134144,0.2721868,0.03612989],"genre_scores_gemma":[0.025296483,0.00043093637,0.69396704,0.00031484233,0.00012108828,0.0016119956,0.16117187,0.090178385,0.02690734],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9993382,0.0001017774,0.00010653756,0.00010250445,0.00027801594,0.00007291301],"domain_scores_gemma":[0.9979861,0.00051015924,0.00008815388,0.0003676744,0.0009450971,0.000102875834],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011152464,0.0016774302,0.0012583385,0.0037088436,0.0009604096,0.002046569,0.002822732,0.0008988763,0.12531379],"category_scores_gemma":[0.0048560626,0.0021124019,0.0017026472,0.0064908485,0.00030097883,0.0034683843,0.0018954978,0.002187428,0.051918626],"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":[0.0001232556,0.00009723409,0.0017799666,0.0005594385,0.00012876574,0.00025478285,0.00036330437,0.013695935,0.0027437087,0.0076763625,0.79720867,0.17536859],"study_design_scores_gemma":[0.00019534692,0.00002987699,0.0020444437,0.00013600176,0.00010872973,0.00031695009,0.0002410435,0.07544154,0.008597515,0.017381128,0.89535606,0.00015149366],"about_ca_topic_score_codex":0.010440341,"about_ca_topic_score_gemma":0.01123337,"teacher_disagreement_score":0.12531379,"about_ca_system_score_codex":0.00066977,"about_ca_system_score_gemma":0.0014911048,"threshold_uncertainty_score":0.4192164},"labels":[],"label_agreement":null},{"id":"W2171552591","doi":"10.14796/jwmm.r208-05","title":"Urban Rainwater Composition Study","year":2002,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Urban Stormwater Management Solutions","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Rainwater harvesting; Composition (language); Environmental science; Art; Ecology; Biology","score_opus":0.026831653368670837,"score_gpt":0.21081116366492844,"score_spread":0.18397951029625761,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2171552591","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":[0.99288017,0.000045917415,0.0004176427,0.000013721311,0.000004976648,0.0002230493,0.0014715997,0.000013855145,0.0049291006],"genre_scores_gemma":[0.9866939,0.00016253097,0.0012904387,0.00007946284,0.000016747012,0.00025051367,0.003649977,0.000018669301,0.007837782],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996654,0.00004154558,0.000021546042,0.000106685926,0.00009313399,0.000071657516],"domain_scores_gemma":[0.9996532,0.000016518194,0.00004195214,0.000032449276,0.00018517497,0.00007069172],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022739996,0.00025560547,0.0002546767,0.0013078158,0.0012346068,0.0004366606,0.00028767707,0.00016709081,0.002871362],"category_scores_gemma":[0.00030374213,0.0001535851,0.00018788123,0.0012574662,0.00027885337,0.0002359823,0.00058751414,0.00021632966,0.000787765],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00096611946,0.0014020029,0.9318372,0.00014106244,0.00012258091,0.0010569801,0.004660494,0.00092638016,0.03047683,0.00050843955,0.0017878616,0.02611406],"study_design_scores_gemma":[0.000030581352,0.00033000976,0.98203653,0.000008918441,0.00003777813,0.00027126685,0.0032849708,0.00036933197,0.0050362004,0.000040527546,0.008543027,0.000010951285],"about_ca_topic_score_codex":0.08277819,"about_ca_topic_score_gemma":0.19182858,"teacher_disagreement_score":0.08277819,"about_ca_system_score_codex":0.0009549364,"about_ca_system_score_gemma":0.001043893,"threshold_uncertainty_score":0.16459274},"labels":[],"label_agreement":null},{"id":"W2172583386","doi":"10.14796/jwmm.c391","title":"Modeling Blue and Green Water Resources Availability in an Iranian Data Scarce Watershed Using SWAT","year":2015,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"University of Guelph; Trent University","funders":"","keywords":"Watershed; SWAT model; Environmental science; Water resource management; Water resources; Hydrology (agriculture); Computer science; Geology; Ecology","score_opus":0.08096300005805121,"score_gpt":0.27049805792857845,"score_spread":0.18953505787052724,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2172583386","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":[0.9918024,0.00002782415,0.0070827054,0.00009900236,0.000007992351,0.000017099053,0.00030028538,0.000103826635,0.00055884535],"genre_scores_gemma":[0.9960514,0.000029639523,0.0034544764,0.0000105601885,0.0000035242192,0.000017754492,0.00027897008,0.000008804261,0.0001448189],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99981993,0.000039474813,0.000014404291,0.000055132892,0.000024573266,0.000046541143],"domain_scores_gemma":[0.99960107,0.00015895255,0.00006866992,0.00003086577,0.00009328133,0.000047221492],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00049869105,0.0006639665,0.00051670155,0.0006123935,0.0005484939,0.0007228333,0.0009601456,0.0009884844,0.00043312748],"category_scores_gemma":[0.0009701521,0.00040731305,0.00097536057,0.0009294757,0.00054355257,0.0010432801,0.0004642885,0.000606247,0.000055333836],"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":[0.000025100471,0.00005850395,0.017559819,0.000009269566,0.00003053214,0.000084055326,0.00003661918,0.9791237,0.0006482328,0.00025453707,0.0001098157,0.0020598762],"study_design_scores_gemma":[0.0000060439174,0.000006287767,0.0026698646,9.556502e-7,0.000007831009,0.0000042814204,0.000025581832,0.9969447,0.00018156496,0.000097176104,0.000051278585,0.000004371246],"about_ca_topic_score_codex":0.13146906,"about_ca_topic_score_gemma":0.09033734,"teacher_disagreement_score":0.13146906,"about_ca_system_score_codex":0.0017358087,"about_ca_system_score_gemma":0.0019321735,"threshold_uncertainty_score":0.26140767},"labels":[],"label_agreement":null},{"id":"W2180706791","doi":"10.14796/jwmm.r227-21","title":"An Efficient Finite-Volume Scheme for Modeling Water Hammer Flows","year":2007,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Water Systems and Optimization","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Finite volume method; Water hammer; Hammer; Volume (thermodynamics); Range (aeronautics); Petroleum engineering; Petroleum; Environmental science; Engineering; Mechanical engineering; Geology; Mechanics; Aerospace engineering; Physics; Thermodynamics","score_opus":0.016924766378436498,"score_gpt":0.21963271659679595,"score_spread":0.20270795021835947,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2180706791","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":[0.008085168,0.00024836624,0.98543465,0.0001270852,0.000113671325,0.00010493547,0.00013915154,0.0003502372,0.005396703],"genre_scores_gemma":[0.39196143,0.00049221003,0.59417784,0.00012794972,0.000075244236,0.00078811566,0.00046411017,0.00025451908,0.011658622],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99967706,0.00009446751,0.000022194341,0.000029033885,0.00013925026,0.00003814533],"domain_scores_gemma":[0.99953794,0.00021254177,0.00004779698,0.000049710285,0.000115323564,0.000036693727],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00081315654,0.0006859805,0.0010174162,0.00055001315,0.0005849177,0.0008965331,0.0018566737,0.0017164921,0.0037395235],"category_scores_gemma":[0.0017718013,0.0004720069,0.0007744838,0.00069706654,0.0008758732,0.0009129681,0.0010864193,0.0012607708,0.0007646282],"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":[0.000050530027,0.000036548772,0.00022162465,0.00006496797,0.000010685934,0.00005024124,0.000049424838,0.9459964,0.003908354,0.030622793,0.0008301161,0.018158235],"study_design_scores_gemma":[0.000007137388,0.000006798434,0.000013586039,0.0000034108798,0.0000011650554,0.000004928262,0.0000021059602,0.9972371,0.0002768444,0.0014163264,0.0010277942,0.000002716907],"about_ca_topic_score_codex":0.007325375,"about_ca_topic_score_gemma":0.004915821,"teacher_disagreement_score":0.007325375,"about_ca_system_score_codex":0.0008703741,"about_ca_system_score_gemma":0.0015260552,"threshold_uncertainty_score":0.014565468},"labels":[],"label_agreement":null},{"id":"W2187852394","doi":"10.14796/jwmm.r215-12","title":"Infiltration Through Compacted Urban Soils and Effects on Biofiltration Design","year":2003,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Urban Stormwater Management Solutions","field":"Environmental Science","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Infiltration (HVAC); Soil water; Environmental science; Urbanization; Soil science; Materials science; Composite material","score_opus":0.02727865458962996,"score_gpt":0.22382284519641674,"score_spread":0.19654419060678677,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2187852394","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":[0.98052853,0.00047928988,0.01655761,0.000059347178,0.00000983595,0.00003255991,0.000095690775,0.00014761408,0.0020895356],"genre_scores_gemma":[0.9955841,0.00036748764,0.0032947066,0.000012478246,0.0000026876842,0.000015946714,0.00007039772,0.000012935688,0.000639272],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.999688,0.00007704102,0.000030169838,0.000047748752,0.000096924115,0.000060195674],"domain_scores_gemma":[0.99950624,0.00021298589,0.0001365574,0.000035324738,0.000075584154,0.000033355864],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028598108,0.0002976246,0.00034914888,0.0002174196,0.00019416815,0.0009001168,0.00033979546,0.00030554025,0.00091581355],"category_scores_gemma":[0.000958953,0.0002161781,0.00023550603,0.0003487959,0.00027666864,0.00047498243,0.00040504328,0.00020042926,0.00016915168],"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":[0.0011847313,0.00031289583,0.030194279,0.00074794993,0.00007785281,0.0003836668,0.00049981114,0.19318669,0.67745066,0.0025940794,0.0005851822,0.09278222],"study_design_scores_gemma":[0.00019582268,0.0043172543,0.08871451,0.00011627065,0.0002288958,0.00086581026,0.001137962,0.2421407,0.6480454,0.001736447,0.012377235,0.0001236543],"about_ca_topic_score_codex":0.0018300252,"about_ca_topic_score_gemma":0.0039136875,"teacher_disagreement_score":0.0018300252,"about_ca_system_score_codex":0.00056018244,"about_ca_system_score_gemma":0.00022017874,"threshold_uncertainty_score":0.004064381},"labels":[],"label_agreement":null},{"id":"W2191868850","doi":"10.14796/jwmm.r225-19","title":"Current Issues on Modeling Extreme Inflows in Stormwater Systems","year":2006,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Urban Stormwater Management Solutions","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Current (fluid); Stormwater; Environmental science; Stormwater management; Environmental planning; Oceanography; Geology; Surface runoff; Ecology","score_opus":0.03667192888886775,"score_gpt":0.23806607504380936,"score_spread":0.2013941461549416,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2191868850","genre_codex":"methods","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1164885,0.043376323,0.74826133,0.05031002,0.0017448431,0.00017197202,0.0011544945,0.0020207176,0.036471743],"genre_scores_gemma":[0.7742484,0.05698966,0.14863376,0.0024181972,0.0039459257,0.00030626013,0.0008511202,0.00035048928,0.012256143],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.998495,0.0007987486,0.00013655706,0.00016844274,0.00031570307,0.0000856745],"domain_scores_gemma":[0.99368227,0.0043843063,0.0003156864,0.00048925204,0.0008599188,0.00026864337],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004901176,0.0007508411,0.001456235,0.00038674579,0.0009969486,0.002829376,0.0040213093,0.0041627204,0.005342714],"category_scores_gemma":[0.009290308,0.0007590671,0.0010445785,0.001331871,0.0021038684,0.0108610075,0.0014621906,0.002449918,0.0012415319],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012715766,0.00019023201,0.005951623,0.00092179317,0.00006864424,0.00019950636,0.00042947443,0.75929606,0.0012659832,0.13013649,0.009877294,0.09153581],"study_design_scores_gemma":[0.000046989157,0.00014818551,0.0015242131,0.00030908483,0.000036215784,0.00018346835,0.0005584652,0.77212846,0.0010525543,0.18913427,0.03482132,0.00005675314],"about_ca_topic_score_codex":0.008133498,"about_ca_topic_score_gemma":0.0068434146,"teacher_disagreement_score":0.008133498,"about_ca_system_score_codex":0.00091918797,"about_ca_system_score_gemma":0.0013550681,"threshold_uncertainty_score":0.025920153},"labels":[],"label_agreement":null},{"id":"W2210922601","doi":"10.14796/jwmm.r227-08","title":"Reservoir Operation Optimization by Reinforcement Learning","year":2007,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Water resources management and optimization","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Reinforcement learning; Reinforcement; Computer science; Psychology; Artificial intelligence; Social psychology","score_opus":0.009316627540507676,"score_gpt":0.19823494497606925,"score_spread":0.18891831743556156,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2210922601","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":[0.062130585,0.00079659215,0.928191,0.0006489498,0.000093560986,0.00006246727,0.000073186835,0.00057775236,0.0074259304],"genre_scores_gemma":[0.9656479,0.0002158663,0.030735217,0.00010649928,0.000042741543,0.00009948025,0.00007217003,0.000028792027,0.0030513108],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99966574,0.0001300861,0.000015243682,0.00006246542,0.00006787635,0.000058480942],"domain_scores_gemma":[0.9982759,0.0011696017,0.00018763923,0.000077850695,0.00021687464,0.000072166695],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010145622,0.00057359907,0.0010761941,0.00037598427,0.00025152348,0.00064206286,0.0007509524,0.00085832423,0.0017849792],"category_scores_gemma":[0.0035859223,0.0003570566,0.00036148977,0.0004209089,0.0009670748,0.00073142396,0.00068973145,0.0010524521,0.00026259985],"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":[0.000024570792,0.000014236347,0.00024907143,0.000015400314,0.000011262855,0.000014683593,0.000010144571,0.98932916,0.00015542642,0.0022815843,0.00029701882,0.007597416],"study_design_scores_gemma":[0.0000044492285,0.000006451409,0.000021419997,0.0000013016557,0.0000012986714,0.0000015600933,9.247991e-7,0.99852186,0.00003876464,0.0013393188,0.00006145702,0.0000011516086],"about_ca_topic_score_codex":0.0076574855,"about_ca_topic_score_gemma":0.0046237516,"teacher_disagreement_score":0.0076574855,"about_ca_system_score_codex":0.0008993157,"about_ca_system_score_gemma":0.0010112451,"threshold_uncertainty_score":0.015225828},"labels":[],"label_agreement":null},{"id":"W2213062117","doi":"10.14796/jwmm.r235-24","title":"A Network Learning Approach for Asset Management in Water Distribution Infrastructure","year":2009,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Water Systems and Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Asset management; Asset (computer security); Computer science; Distribution (mathematics); Business; Finance; Computer security; Mathematics","score_opus":0.008537999065967784,"score_gpt":0.1922452154226092,"score_spread":0.18370721635664142,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2213062117","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":[0.027038777,0.00064283377,0.9677243,0.0010261898,0.000074411844,0.00004123498,0.0001090649,0.00013153431,0.0032117388],"genre_scores_gemma":[0.8071099,0.0013642051,0.17673914,0.00028151492,0.00044424518,0.00030088198,0.00035595,0.00009177633,0.0133123025],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99941933,0.00030321235,0.000022040587,0.00012329732,0.00006989124,0.00006216848],"domain_scores_gemma":[0.9959352,0.003463154,0.00015892912,0.00006287685,0.00026526296,0.00011454159],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019945295,0.00083166966,0.0013207934,0.0010120609,0.0007102929,0.0011974974,0.001916054,0.002045397,0.0031548655],"category_scores_gemma":[0.006066641,0.0006355409,0.000669031,0.0013344664,0.0010939128,0.0023519683,0.0012586135,0.0017918922,0.00028173602],"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":[0.000016246793,0.000027647666,0.00026630692,0.00001759405,0.000017252827,0.000019221972,0.000017305363,0.98140544,0.00004762945,0.007915412,0.00038042726,0.009869579],"study_design_scores_gemma":[0.0000019943766,0.0000025483373,0.000014957141,0.0000011029875,0.0000015753634,0.0000010669725,0.0000016556827,0.99676406,0.000010730906,0.0031430682,0.000056209956,0.0000010661608],"about_ca_topic_score_codex":0.019402372,"about_ca_topic_score_gemma":0.014908442,"teacher_disagreement_score":0.019402372,"about_ca_system_score_codex":0.0017248442,"about_ca_system_score_gemma":0.0010548437,"threshold_uncertainty_score":0.038578928},"labels":[],"label_agreement":null},{"id":"W2218966615","doi":"10.14796/jwmm.r235-06","title":"An Evaluation of Stormwater Management Practices to Provide Flood Protection for Watershed-Based Targets","year":2009,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Soil erosion and sediment transport","field":"Agricultural and Biological Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Credit Valley Hospital; Philips (Canada)","funders":"","keywords":"Watershed; Flood myth; Watershed management; Stormwater management; Stormwater; Water resource management; Environmental science; Hydrology (agriculture); Environmental planning; Environmental resource management; Geography; Surface runoff; Computer science; Engineering; Ecology; Archaeology","score_opus":0.08283797410878874,"score_gpt":0.2952033365789959,"score_spread":0.21236536247020715,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2218966615","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":[0.9892512,0.00009212931,0.0039205644,0.00008717754,0.00000904852,0.00051509857,0.00028066745,0.0000417806,0.0058023273],"genre_scores_gemma":[0.9926439,0.00008844135,0.0062011397,0.000026231446,0.0000026910357,0.00014561211,0.00023890851,0.0000034270236,0.00064969197],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984188,0.0008647959,0.00008619885,0.0001108998,0.00039885627,0.00012046133],"domain_scores_gemma":[0.9985902,0.0004491881,0.00028466774,0.000094851835,0.0004207237,0.000160405],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024243838,0.00028604842,0.00021586707,0.00051808316,0.00024565763,0.0006135663,0.0003421709,0.00018670902,0.00088464643],"category_scores_gemma":[0.0039504357,0.00007235432,0.00024841336,0.00058331934,0.00018699498,0.00040327714,0.00034736336,0.00018894026,0.00010157122],"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":[0.008326891,0.0110289715,0.23554066,0.0010930267,0.0004091744,0.00020244604,0.0010714646,0.14494668,0.033581343,0.005908875,0.002372564,0.55551803],"study_design_scores_gemma":[0.0017257106,0.103845805,0.6165997,0.00021834328,0.0006554579,0.0001290744,0.0021280863,0.22563118,0.031141711,0.002930214,0.014934393,0.000060376125],"about_ca_topic_score_codex":0.005446771,"about_ca_topic_score_gemma":0.012184193,"teacher_disagreement_score":0.005446771,"about_ca_system_score_codex":0.0020438207,"about_ca_system_score_gemma":0.0016646374,"threshold_uncertainty_score":0.01482898},"labels":[],"label_agreement":null},{"id":"W2230651786","doi":"10.14796/jwmm.r235-20","title":"Implementation of Flushing Tanks in Combined Sewer Networks to Comply with Optimal Self-Cleansing Properties","year":2009,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Urban Stormwater Management Solutions","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"KU Leuven","keywords":"Flushing; Combined sewer; Waste management; Environmental science; Environmental engineering; Engineering; Surface runoff; Stormwater","score_opus":0.01295092611061751,"score_gpt":0.21634213855438053,"score_spread":0.20339121244376301,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2230651786","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":[0.6542038,0.00006269469,0.33890188,0.00011228309,0.00003572447,0.00024569995,0.000075310156,0.0015897878,0.004772919],"genre_scores_gemma":[0.96652603,0.000012748234,0.031723335,0.000014492807,0.000003891033,0.00007371533,0.00003639345,0.000025215208,0.0015841402],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999642,0.00006640418,0.000024350047,0.00009366974,0.000070134185,0.00010341592],"domain_scores_gemma":[0.99945575,0.00011711035,0.00010747695,0.000100774785,0.00015558503,0.000063300475],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005018141,0.0003640467,0.00036206105,0.00025576173,0.0003848818,0.0006089476,0.0008772509,0.000658565,0.0023726658],"category_scores_gemma":[0.0010597818,0.00021971443,0.00026208287,0.00018794001,0.0003308396,0.00080377643,0.0006064984,0.00030522436,0.00033863675],"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":[0.00092360144,0.000804273,0.012003432,0.00018929532,0.000084589825,0.00028094221,0.00037616296,0.61828613,0.21176249,0.006088734,0.0013644279,0.14783587],"study_design_scores_gemma":[0.00011180164,0.0007139787,0.0038998704,0.00002163908,0.000043717646,0.000069928654,0.0001529611,0.9342786,0.05599381,0.0014122886,0.0032736356,0.000027761978],"about_ca_topic_score_codex":0.00404304,"about_ca_topic_score_gemma":0.0064726025,"teacher_disagreement_score":0.00404304,"about_ca_system_score_codex":0.0005583844,"about_ca_system_score_gemma":0.0011133235,"threshold_uncertainty_score":0.008038998},"labels":[],"label_agreement":null},{"id":"W2244868365","doi":"10.14796/jwmm.r206-20","title":"Connecting Pipes and Plants: Concurrent Hydrodynamic Simulation of the Hydraulic Performance of a Collection System and a Wastewater Treatment Plant","year":2000,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Water Systems and Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Wastewater; Sewage treatment; Environmental science; Bar (unit); Downstream (manufacturing); Engineering; Waste management; Environmental engineering; Civil engineering; Operations management; Geography; Meteorology","score_opus":0.008926188026171476,"score_gpt":0.1804759272231128,"score_spread":0.1715497391969413,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2244868365","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":[0.9727633,0.000025386402,0.021538746,0.00009023965,0.000020879099,0.00015548224,0.00028602334,0.0002714893,0.0048483917],"genre_scores_gemma":[0.9917846,0.000030751602,0.0059980876,0.000018630953,0.0000044875082,0.00012628468,0.00017822791,0.000026900052,0.0018321243],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997348,0.00006873067,0.000015421963,0.0000524254,0.00005115781,0.000077547134],"domain_scores_gemma":[0.9988464,0.00073447276,0.00010903301,0.000050160616,0.00012994702,0.0001299257],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006154657,0.0005560213,0.0007994758,0.0005526891,0.00082572363,0.0010731524,0.001103138,0.0017846777,0.003416292],"category_scores_gemma":[0.0020237842,0.000853913,0.00076080905,0.0007891926,0.0010329349,0.00097610115,0.000906497,0.001094313,0.00019409617],"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":[0.00009249095,0.00006293539,0.0016601973,0.000013283932,0.0000071138156,0.000066523564,0.000052998683,0.9953968,0.0010393098,0.00044566568,0.000071472285,0.0010912414],"study_design_scores_gemma":[0.000026325994,0.00006343823,0.00037120096,0.0000013922173,0.0000050546146,0.0000053583294,0.000032288488,0.99855024,0.0006916464,0.00016421439,0.00008335754,0.0000055497353],"about_ca_topic_score_codex":0.032186754,"about_ca_topic_score_gemma":0.015697312,"teacher_disagreement_score":0.032186754,"about_ca_system_score_codex":0.0016257882,"about_ca_system_score_gemma":0.0022286302,"threshold_uncertainty_score":0.06399882},"labels":[],"label_agreement":null},{"id":"W2252396753","doi":"10.14796/jwmm.r228-05","title":"Database for In-field Condition Assessments of Flood Control Infrastructure and Prioritization of Remedial Action Budgeting","year":2008,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Flood Risk Assessment and Management","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Remedial action; Prioritization; Remedial education; Flood myth; Flood control; Control (management); Database; Action (physics); Field (mathematics); Environmental planning; Engineering; Computer science; Business; Risk analysis (engineering); Environmental resource management; Environmental science; Political science; Process management; Geography; Law; Mathematics; Archaeology","score_opus":0.016423435711159385,"score_gpt":0.2782587390036324,"score_spread":0.261835303292473,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2252396753","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0020296343,0.00014881132,0.0052816765,0.000076861426,0.00003072717,0.0001985564,0.9829547,0.0031138677,0.0061652786],"genre_scores_gemma":[0.009895846,0.00021911468,0.0085308505,0.000067082954,0.000012267395,0.00050093536,0.97777504,0.00023614102,0.0027626369],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9990416,0.000095285206,0.00027503254,0.00018927509,0.00032095032,0.00007778658],"domain_scores_gemma":[0.9940924,0.0010410642,0.0008980417,0.0012635151,0.002288407,0.00041655917],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014009726,0.001269017,0.0013559633,0.006589994,0.0005837818,0.0016625593,0.0023465904,0.0010565922,0.0553724],"category_scores_gemma":[0.006001826,0.0005397319,0.00070199574,0.006890385,0.00016686092,0.001626275,0.0013054799,0.00092732225,0.036950037],"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":[0.0010109871,0.00045314763,0.02245288,0.0022609462,0.00022181874,0.00021150494,0.00020198751,0.004893523,0.0040141563,0.0062577594,0.82451797,0.13350335],"study_design_scores_gemma":[0.0006186471,0.00019989024,0.07286484,0.00065406185,0.00029188892,0.0002927554,0.00035295667,0.011575593,0.009828296,0.008990003,0.8941489,0.00018225679],"about_ca_topic_score_codex":0.019621657,"about_ca_topic_score_gemma":0.019871416,"teacher_disagreement_score":0.0553724,"about_ca_system_score_codex":0.0011391003,"about_ca_system_score_gemma":0.0023013044,"threshold_uncertainty_score":0.18523914},"labels":[],"label_agreement":null},{"id":"W2253666579","doi":"10.14796/jwmm.r207-24","title":"Dynamic Modeling of Real-Time Control of Combined Sewer Systems with Radial Gates and Siphon Weirs","year":2001,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Hydraulic flow and structures","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"University of Guelph","funders":"University of Guelph","keywords":"Siphon (mollusc); Control (management); Computer science; Control theory (sociology); Artificial intelligence","score_opus":0.003994749430097007,"score_gpt":0.17376138615547185,"score_spread":0.16976663672537484,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2253666579","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":[0.24926955,0.0003263281,0.70747375,0.0002753606,0.00006963485,0.00016839015,0.0006640217,0.002152048,0.03960101],"genre_scores_gemma":[0.97406614,0.00015774941,0.014431571,0.000016693364,0.000009365111,0.00015126521,0.00016374383,0.00006906503,0.010934342],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998436,0.000027423286,0.0000065784193,0.0000343399,0.000053279582,0.000034832643],"domain_scores_gemma":[0.9998299,0.00006579342,0.000026883783,0.000014292828,0.000044590335,0.000018542216],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022116952,0.00057598035,0.000581584,0.00032452928,0.0005161554,0.0010130961,0.0010167907,0.0006952732,0.003173265],"category_scores_gemma":[0.00043253828,0.0004216434,0.0004811229,0.00023828098,0.00071848393,0.0006828842,0.0005341776,0.0005713887,0.00034152204],"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":[0.00001677222,0.000008267081,0.00020718107,0.000010707197,0.0000043723667,0.000016691318,0.000015757003,0.99561137,0.0011026219,0.0010465058,0.00012652496,0.0018332002],"study_design_scores_gemma":[0.0000034955071,0.000005572753,0.00006832951,0.0000010037264,0.0000019857173,0.0000024457836,0.000003711811,0.9991817,0.0002774578,0.00015090399,0.00030168897,0.0000017094036],"about_ca_topic_score_codex":0.044865884,"about_ca_topic_score_gemma":0.031224614,"teacher_disagreement_score":0.044865884,"about_ca_system_score_codex":0.0011093657,"about_ca_system_score_gemma":0.0014206879,"threshold_uncertainty_score":0.08920944},"labels":[],"label_agreement":null},{"id":"W2254744745","doi":"10.14796/jwmm.r235-17","title":"Structural BMPs for Stormwater Treatment Control – a Performance Based Design Method for Urban Drainage System","year":2009,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Urban Stormwater Management Solutions","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Stormwater management; Stormwater; Low-impact development; Drainage; Focus (optics); Drainage system (geomorphology); Environmental science; Control (management); Civil engineering; Environmental planning; Engineering; Computer science; Surface runoff; Ecology","score_opus":0.030359735904471174,"score_gpt":0.2471425981972143,"score_spread":0.21678286229274313,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2254744745","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":[0.015180631,0.000018005852,0.9817949,0.000051239385,0.000008814639,0.00006716599,0.000020810963,0.00021908923,0.0026393554],"genre_scores_gemma":[0.5535203,0.00006495396,0.4417845,0.000044968827,0.000012077368,0.00030281502,0.000071302595,0.000118719916,0.004080414],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99958676,0.00016894596,0.000013744506,0.000042784148,0.00016138071,0.000026516633],"domain_scores_gemma":[0.9996611,0.00010760654,0.00003799267,0.000033209482,0.00014737387,0.000012617888],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010658685,0.00043777382,0.00037854206,0.00040970492,0.00030336564,0.00046312774,0.0006407177,0.00039605514,0.004305645],"category_scores_gemma":[0.001025423,0.00029886345,0.00037456007,0.00022712002,0.0003446614,0.0004464771,0.00039606477,0.00042229268,0.00040521208],"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":[0.00016358793,0.00022221536,0.0011325545,0.00012118694,0.000029450277,0.000029282188,0.00011035279,0.70107806,0.021729933,0.017649302,0.0011632597,0.25657088],"study_design_scores_gemma":[0.000026144955,0.0001195368,0.0003049104,0.0000075831313,0.000013369554,0.000013554876,0.00001933964,0.9907872,0.0039961273,0.0027352031,0.0019712187,0.0000058124365],"about_ca_topic_score_codex":0.0018745727,"about_ca_topic_score_gemma":0.002415905,"teacher_disagreement_score":0.004305645,"about_ca_system_score_codex":0.0004454311,"about_ca_system_score_gemma":0.0007214493,"threshold_uncertainty_score":0.01440376},"labels":[],"label_agreement":null},{"id":"W2257320654","doi":"10.14796/jwmm.r225-24","title":"Assessment of Unaccounted-for Water in Municipal Water Networks Using GIS and Modeling","year":2006,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Water Systems and Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Environmental science; Water resource management; Environmental planning","score_opus":0.01967087746942647,"score_gpt":0.2383086618676089,"score_spread":0.21863778439818243,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2257320654","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":[0.8031688,0.0008446594,0.1801868,0.0004313514,0.000019132369,0.00011454182,0.0018216695,0.00041471186,0.0129983835],"genre_scores_gemma":[0.98304784,0.0004221216,0.015494298,0.0000051058746,0.000004034133,0.0000395904,0.000304328,0.000020478596,0.0006622463],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994019,0.0002658882,0.000029913708,0.000054009295,0.00020808572,0.00004017651],"domain_scores_gemma":[0.99886143,0.0007500985,0.000125165,0.00007242157,0.00016728847,0.000023657252],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007082823,0.0005939034,0.00035593606,0.001507422,0.00041398904,0.0016624406,0.0006140837,0.0005147701,0.0008090933],"category_scores_gemma":[0.0032654265,0.00037219268,0.0005754026,0.0027188396,0.00042833155,0.0024273505,0.0005218392,0.0002555168,0.000088259316],"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":[0.000035670142,0.00002759226,0.020731986,0.00007504832,0.0000651752,0.00012583654,0.00011633893,0.9498678,0.0007301939,0.011330631,0.00022271123,0.016671045],"study_design_scores_gemma":[0.000003067175,0.00002424162,0.004843391,0.00001563878,0.000020262303,0.000037463713,0.00018581866,0.98823756,0.0010340128,0.0043526343,0.0012352826,0.000010596249],"about_ca_topic_score_codex":0.03297848,"about_ca_topic_score_gemma":0.027234,"teacher_disagreement_score":0.03297848,"about_ca_system_score_codex":0.0027263188,"about_ca_system_score_gemma":0.0016265134,"threshold_uncertainty_score":0.06557304},"labels":[],"label_agreement":null},{"id":"W2257980014","doi":"10.14796/jwmm.r246-03","title":"Geoprocessing Tools for Surface and Basement Flooding Analysis in SWMM","year":2013,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Geological Modeling and Analysis","field":"Earth and Planetary Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Geoprocessing; Basement; Geology; Civil engineering; Engineering; Remote sensing","score_opus":0.03410456385294422,"score_gpt":0.22601355525250516,"score_spread":0.19190899139956094,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2257980014","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":[0.02272798,0.000070278926,0.7598298,0.00012001557,0.00011200398,0.0005911555,0.0380504,0.16847125,0.010027074],"genre_scores_gemma":[0.11029413,0.00014786322,0.8158887,0.00013418644,0.00004870764,0.002006303,0.043081425,0.021473303,0.006925387],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996244,0.00004820544,0.000091391346,0.000080581995,0.00011359332,0.00004190698],"domain_scores_gemma":[0.99872845,0.00045274018,0.00012929176,0.00022401675,0.00042422418,0.00004132015],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014446334,0.0012948791,0.00058101217,0.0020125313,0.00052666356,0.0012053238,0.0014954738,0.0003784201,0.034141056],"category_scores_gemma":[0.00385085,0.000849497,0.0009967786,0.0021294723,0.00021419428,0.0011151822,0.0009367597,0.00095843244,0.008386753],"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":[0.0006830347,0.00048849493,0.020171588,0.0010101994,0.00027270612,0.0011530488,0.0019915316,0.09334453,0.035004325,0.022609062,0.219663,0.6036085],"study_design_scores_gemma":[0.0002665483,0.00013432359,0.015965981,0.00018604503,0.0000978972,0.00043809216,0.00048810834,0.63443935,0.06020974,0.019524595,0.26807526,0.00017413194],"about_ca_topic_score_codex":0.0070252973,"about_ca_topic_score_gemma":0.010978444,"teacher_disagreement_score":0.034141056,"about_ca_system_score_codex":0.0006736304,"about_ca_system_score_gemma":0.0010166464,"threshold_uncertainty_score":0.11421323},"labels":[],"label_agreement":null},{"id":"W2261298789","doi":"10.14796/jwmm.r246-18","title":"Low Impact Development Modeling to Assess Localized Flood Reduction in Thailand","year":2013,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Flood Risk Assessment and Management","field":"Environmental Science","cited_by":32,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Institute of Education, Nanyang Technological University; Nanyang Technological University","keywords":"Flood myth; Flooding (psychology); Geography; Reduction (mathematics); Environmental planning; Water resource management; Environmental science; Archaeology","score_opus":0.02370692415767817,"score_gpt":0.2591210385403445,"score_spread":0.23541411438266635,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2261298789","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":[0.8716344,0.0014121392,0.06353437,0.00068060716,0.00006906521,0.00023031552,0.0043215696,0.00088446506,0.0572331],"genre_scores_gemma":[0.98631674,0.00068237423,0.0075955056,0.00003487865,0.000007241073,0.00013132257,0.0011288144,0.000053100423,0.004050017],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998134,0.00008156689,0.000012333752,0.000025302777,0.00003671035,0.000030755135],"domain_scores_gemma":[0.9993137,0.0003891741,0.00006321819,0.000023876672,0.00014892426,0.00006110196],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040343712,0.00084511616,0.000391711,0.00074562035,0.00038655542,0.0012825631,0.00074108096,0.0005696608,0.0024375187],"category_scores_gemma":[0.001069107,0.00031984024,0.0004652268,0.0010740985,0.00038969508,0.0005128153,0.00073228875,0.00055634126,0.00032012793],"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":[0.0000202769,0.000014290002,0.0016666237,0.000029229217,0.00001101799,0.000037653088,0.000017631164,0.9954159,0.00014322753,0.00032389772,0.00018118648,0.0021391169],"study_design_scores_gemma":[0.000011847038,0.000035108114,0.00083861407,0.000007676252,0.0000127281755,0.000013158914,0.00004661909,0.9976671,0.00032840425,0.00039752817,0.00063534605,0.000005964461],"about_ca_topic_score_codex":0.04967241,"about_ca_topic_score_gemma":0.030735103,"teacher_disagreement_score":0.04967241,"about_ca_system_score_codex":0.0014580701,"about_ca_system_score_gemma":0.0016791472,"threshold_uncertainty_score":0.098766625},"labels":[],"label_agreement":null},{"id":"W2263648542","doi":"10.14796/jwmm.r227-14","title":"Comprehensive ArcGIS-Based Urban Drainage Modeling for Decision Support","year":2007,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","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":true,"route_about_ca":false,"ca_institutions":"Coquitlam College","funders":"","keywords":"Drainage; Drainage network; Decision support system; Drainage system (geomorphology); Computer science; Environmental science; Civil engineering; Water resource management; Engineering; Data mining","score_opus":0.03177550394468329,"score_gpt":0.2627931168959497,"score_spread":0.2310176129512664,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2263648542","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":[0.008821996,0.00029652062,0.8707775,0.0007847051,0.00014036815,0.00043066728,0.033052668,0.035820622,0.049874876],"genre_scores_gemma":[0.12420783,0.0010387741,0.7908448,0.0002622338,0.000051803014,0.0013439032,0.05519645,0.00326985,0.023784332],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99967504,0.000078051766,0.000030513607,0.000043059816,0.00015494849,0.000018477582],"domain_scores_gemma":[0.9995858,0.00010175971,0.000027755741,0.00008477954,0.00017954317,0.000020298092],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00055512536,0.0006642517,0.00043376317,0.0012417194,0.00040459025,0.001277374,0.0010252666,0.00035019548,0.022796486],"category_scores_gemma":[0.001669522,0.0004618429,0.00053434464,0.0027456982,0.00017552702,0.0013642424,0.00080810674,0.0005193868,0.0082217455],"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":[0.00009200773,0.000121988574,0.0031336788,0.00039300023,0.00011280388,0.00019129972,0.00041751153,0.2642636,0.0039018465,0.079180755,0.29514337,0.35304818],"study_design_scores_gemma":[0.000064708365,0.000028777215,0.0017596361,0.000087173496,0.000032391614,0.000118888594,0.00016859818,0.4798507,0.0038683948,0.035759617,0.47821635,0.000044810164],"about_ca_topic_score_codex":0.0076004546,"about_ca_topic_score_gemma":0.008923959,"teacher_disagreement_score":0.022796486,"about_ca_system_score_codex":0.0006646744,"about_ca_system_score_gemma":0.0016140498,"threshold_uncertainty_score":0.07626182},"labels":[],"label_agreement":null},{"id":"W2268718671","doi":"10.14796/jwmm.r246-22","title":"Lackawanna WWTP Elimination - A study of Potential Impacts on Smokes Creek and the Buffalo Sewer System","year":2013,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Water Systems and Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Conestoga College","funders":"University at Buffalo","keywords":"Environmental science; Wastewater; Combined sewer; Sanitary sewer; Environmental engineering; Marine engineering; Engineering; Civil engineering; Hydrology (agriculture); Geotechnical engineering; Ecology; Biology","score_opus":0.008519157123238455,"score_gpt":0.1848021795095289,"score_spread":0.17628302238629046,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2268718671","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":[0.99902976,0.0000049137716,0.00014091571,0.0000085933325,8.361856e-7,0.000016051994,0.000033484495,0.0000030433293,0.00076249253],"genre_scores_gemma":[0.99666446,0.000027962311,0.0005578318,0.000008249894,8.292073e-7,0.000030122914,0.0001263026,0.0000034568761,0.0025808862],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99977094,0.00004161429,0.0000087561675,0.000029653645,0.00008842185,0.000060635397],"domain_scores_gemma":[0.99982834,0.000043618064,0.000025769828,0.000009399375,0.000060154765,0.00003268946],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026654292,0.00019521831,0.00039334584,0.0002538394,0.0011761597,0.00070652476,0.00032421353,0.0003318745,0.0011437873],"category_scores_gemma":[0.0003177065,0.00020137345,0.00045874936,0.00036834166,0.000313028,0.00040591825,0.00034510955,0.00030542898,0.0001492364],"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":[0.0023271139,0.0031861342,0.5915055,0.00028559298,0.00029458984,0.003642738,0.0015587563,0.11348941,0.23576006,0.0019463524,0.0012053477,0.044798348],"study_design_scores_gemma":[0.00015611915,0.0024223528,0.8059874,0.000014560753,0.00017665463,0.00018811818,0.0032089965,0.14102636,0.043487854,0.00028133974,0.0030038203,0.000046471618],"about_ca_topic_score_codex":0.1917526,"about_ca_topic_score_gemma":0.420906,"teacher_disagreement_score":0.1917526,"about_ca_system_score_codex":0.00252032,"about_ca_system_score_gemma":0.0027658606,"threshold_uncertainty_score":0.38127297},"labels":[],"label_agreement":null},{"id":"W2272653992","doi":"10.14796/jwmm.r235-19","title":"Scour in Stormwater Catchbasin Devices – Experimental Results from a Full-Scale Physical Model","year":2009,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Stormwater; Environmental science; Stormwater management; Scale (ratio); Scale model; Surface runoff; Engineering; Geography; Aerospace engineering","score_opus":0.016236743553095796,"score_gpt":0.24429230370055732,"score_spread":0.22805556014746153,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2272653992","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":[0.9960306,0.00009646054,0.0028649205,0.00005169028,0.000017163205,0.000042448362,0.00012775727,0.00010516476,0.0006637363],"genre_scores_gemma":[0.9972264,0.000121426725,0.0013971308,0.000015005178,0.0000060113084,0.000037343805,0.000101370424,0.000033296667,0.001061969],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.999587,0.000054919397,0.00002190006,0.000094566974,0.00013808248,0.00010346212],"domain_scores_gemma":[0.9985349,0.00063709094,0.000121559504,0.00027767272,0.00025998463,0.00016876045],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00047896977,0.0004881723,0.000653505,0.0003595138,0.0006496261,0.0007433652,0.0010135436,0.0006866784,0.0029222365],"category_scores_gemma":[0.0019942361,0.00028327585,0.00045171994,0.0003328428,0.0009463514,0.0010637966,0.00078415504,0.0006342279,0.00033994124],"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":[0.0047155456,0.0049705664,0.008788689,0.00044130525,0.00010481138,0.0005976476,0.0008036463,0.12943524,0.81391364,0.0022874721,0.0022312612,0.031710196],"study_design_scores_gemma":[0.0005787755,0.006058121,0.008640393,0.000034043296,0.000083007384,0.00007118235,0.00026992394,0.61343026,0.3687074,0.0007327636,0.0013297974,0.00006431109],"about_ca_topic_score_codex":0.0063248593,"about_ca_topic_score_gemma":0.0038509474,"teacher_disagreement_score":0.0063248593,"about_ca_system_score_codex":0.0007486056,"about_ca_system_score_gemma":0.00053661515,"threshold_uncertainty_score":0.012576103},"labels":[],"label_agreement":null},{"id":"W2275268638","doi":"10.14796/jwmm.r236-17","title":"Addressing Chronic Flooding in a Dynamic River System through an Ice Management Plan","year":2010,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Toronto and Region Conservation Authority","funders":"","keywords":"Flooding (psychology); Port (circuit theory); Plan (archaeology); Hydrology (agriculture); HAMLET (protein complex); Geology; Geography; Environmental science; Archaeology; Engineering; Geotechnical engineering","score_opus":0.029091657392839625,"score_gpt":0.24360246411731748,"score_spread":0.21451080672447786,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2275268638","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":[0.9860577,0.000027718073,0.0038360774,0.0016591756,0.000017504657,0.000176596,0.00018894687,0.000042758573,0.00799346],"genre_scores_gemma":[0.99664116,0.0000272644,0.0020468095,0.00006985632,0.000011517136,0.00005697947,0.000075106036,0.000003584065,0.0010677372],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99960226,0.00016391338,0.0000205119,0.000028241895,0.000043457916,0.00014156384],"domain_scores_gemma":[0.999161,0.00017980865,0.0001870067,0.000035216828,0.00012774294,0.00030927436],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009852359,0.00019594224,0.00020474629,0.0004213977,0.0011003526,0.0016327469,0.0007213686,0.0004835206,0.0017751474],"category_scores_gemma":[0.0028505803,0.00013678048,0.0001990937,0.0004982055,0.00037154145,0.0007828608,0.001205182,0.0003762566,0.00005574579],"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":[0.0010059697,0.0018901025,0.4217677,0.00027548536,0.0003736859,0.0018149224,0.0052690674,0.3685563,0.0070490064,0.024099203,0.012717862,0.15518072],"study_design_scores_gemma":[0.00068784493,0.0035546669,0.4114953,0.00014771278,0.00045627443,0.0003884831,0.037581343,0.49034533,0.0032636742,0.017852651,0.034119364,0.00010744375],"about_ca_topic_score_codex":0.04002063,"about_ca_topic_score_gemma":0.1597597,"teacher_disagreement_score":0.04002063,"about_ca_system_score_codex":0.0017965125,"about_ca_system_score_gemma":0.005401623,"threshold_uncertainty_score":0.07957542},"labels":[],"label_agreement":null},{"id":"W2275503433","doi":"10.14796/jwmm.r246-09","title":"Influence of Air Pocket Volume on Manhole Surge","year":2013,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Hydraulic flow and structures","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Surge; Volume (thermodynamics); Stormwater; Crown (dentistry); Mechanics; Stormwater management; Storm surge; Geology; Environmental science; Geotechnical engineering; Meteorology; Marine engineering; Hydrology (agriculture); Engineering; Materials science; Geomorphology; Geography; Physics; Composite material; Storm; Surface runoff; Thermodynamics; Biology","score_opus":0.005709379779510774,"score_gpt":0.18241879550798099,"score_spread":0.1767094157284702,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2275503433","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":[0.9965239,0.00013688437,0.0023147012,0.000017541424,0.000014566796,0.000010650722,0.00007961181,0.00014163187,0.00076043926],"genre_scores_gemma":[0.99955124,0.000037158105,0.00026082766,0.000003746413,0.0000015706754,0.0000030451909,0.000026687643,0.000008479273,0.00010728681],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999705,0.000045902972,0.00001964108,0.000060577077,0.000066491884,0.00010226404],"domain_scores_gemma":[0.99743575,0.0018583039,0.00019935559,0.00017705285,0.00016182459,0.00016763138],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003890334,0.0002973727,0.00037972702,0.00029884267,0.00018145754,0.00055273937,0.0002698548,0.0002864272,0.0013853428],"category_scores_gemma":[0.0026006051,0.00019910812,0.00017821098,0.00014791574,0.00043157802,0.0005195494,0.00049105746,0.00031378484,0.00015216196],"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":[0.0023671156,0.0002932232,0.02612782,0.00040145457,0.000052369112,0.0011951139,0.00029076808,0.09661908,0.8390386,0.0004267019,0.0003480289,0.03283973],"study_design_scores_gemma":[0.0001701217,0.006441159,0.18764628,0.00006629978,0.00016752111,0.0009779087,0.0007906013,0.16713329,0.6334436,0.00058110716,0.0024433746,0.00013878653],"about_ca_topic_score_codex":0.0008038614,"about_ca_topic_score_gemma":0.0008432013,"teacher_disagreement_score":0.0013853428,"about_ca_system_score_codex":0.00017001612,"about_ca_system_score_gemma":0.00023161531,"threshold_uncertainty_score":0.0046343803},"labels":[],"label_agreement":null},{"id":"W2275561887","doi":"10.14796/jwmm.c395","title":"Sewer Ventilation: Factors Affecting Airflow and Modeling Approaches","year":2016,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Water Treatment and Disinfection","field":"Environmental Science","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Airflow; Ventilation (architecture); Environmental science; Engineering; Mechanical engineering","score_opus":0.048228010541604235,"score_gpt":0.215044559329695,"score_spread":0.16681654878809077,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2275561887","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":[0.25596306,0.014258995,0.7019379,0.002070458,0.00015342349,0.0003930144,0.00047629932,0.0007035707,0.024043297],"genre_scores_gemma":[0.95260423,0.0064833066,0.036933266,0.00008249323,0.00008342854,0.00017483713,0.00019373574,0.00016048794,0.0032842562],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99910885,0.0003041783,0.00006046957,0.00015363243,0.00028577878,0.00008704762],"domain_scores_gemma":[0.9987117,0.00086563017,0.00014075964,0.000056601984,0.0001944064,0.00003092601],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015252024,0.001231204,0.00090101484,0.0011839534,0.0005465572,0.0022648382,0.0016436505,0.0016747604,0.0015112796],"category_scores_gemma":[0.0036815682,0.000631706,0.0012882425,0.00096046174,0.000501778,0.0029389006,0.0009065143,0.001012534,0.0003406196],"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":[0.00009195489,0.00022310918,0.017043076,0.0005721977,0.00010247037,0.00021848484,0.0002455149,0.8765091,0.013402838,0.016509278,0.000843476,0.074238494],"study_design_scores_gemma":[0.00001043736,0.000068030415,0.0043147854,0.00008115847,0.00004482159,0.000054822525,0.000115323484,0.98243743,0.005800906,0.004285302,0.0027554855,0.000031449126],"about_ca_topic_score_codex":0.011590521,"about_ca_topic_score_gemma":0.008983526,"teacher_disagreement_score":0.011590521,"about_ca_system_score_codex":0.0016095241,"about_ca_system_score_gemma":0.00076954777,"threshold_uncertainty_score":0.023046076},"labels":[],"label_agreement":null},{"id":"W2275651776","doi":"10.14796/jwmm.r236-07","title":"Application of Flushing Tanks in Simple Sewer Networks for In-Sewer Sediment Erosion and Transport","year":2010,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Urban Stormwater Management Solutions","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"KU Leuven","keywords":"Flushing; Erosion; Environmental science; Stormwater; Sediment transport; Combined sewer; Storm; Sanitary sewer; Drainage; Sediment; Hydrology (agriculture); Environmental engineering; Engineering; Geology; Geotechnical engineering; Surface runoff; Geomorphology; Oceanography","score_opus":0.009740634697633541,"score_gpt":0.21705945749149091,"score_spread":0.20731882279385738,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2275651776","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":[0.98915523,0.000036708534,0.009663795,0.000018681507,0.000008940886,0.000055949386,0.00013519476,0.00014038254,0.0007850367],"genre_scores_gemma":[0.9948532,0.000045693523,0.0045027174,0.0000032171415,8.490087e-7,0.0000222181,0.000055258173,0.000008270585,0.0005086259],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99981683,0.000050509225,0.00001799887,0.000036365862,0.000032825064,0.000045579134],"domain_scores_gemma":[0.9994086,0.0003223202,0.000094276205,0.00006421762,0.00006937358,0.000041242587],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036631653,0.00045264885,0.00042698972,0.00033398395,0.00028813715,0.0005148148,0.00055597385,0.0006506909,0.0015904474],"category_scores_gemma":[0.00083591504,0.00024747767,0.0004792922,0.00033353083,0.0003383487,0.0004767187,0.00043445284,0.00032586025,0.00012383873],"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":[0.00039751877,0.000205161,0.0118341455,0.00021943203,0.00004060668,0.00029980388,0.00015758497,0.9154699,0.056969043,0.00032977376,0.00015814368,0.013918921],"study_design_scores_gemma":[0.00006359735,0.0012145931,0.011475878,0.000022496217,0.00006322797,0.00007347924,0.00015463275,0.9287736,0.056919355,0.0002645403,0.00094563374,0.00002895599],"about_ca_topic_score_codex":0.008812758,"about_ca_topic_score_gemma":0.009537925,"teacher_disagreement_score":0.008812758,"about_ca_system_score_codex":0.0007773319,"about_ca_system_score_gemma":0.00042338783,"threshold_uncertainty_score":0.017522931},"labels":[],"label_agreement":null},{"id":"W2276327515","doi":"10.14796/jwmm.r235-09","title":"A Multi-Objective Optimization Decision Support Model for Renewal Planning of Sewer Networks","year":2009,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Water Systems and Optimization","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Computer science; Decision support system; Operations research; Decision model; Engineering; Artificial intelligence; Machine learning","score_opus":0.02067233455560273,"score_gpt":0.24019466877866055,"score_spread":0.21952233422305784,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2276327515","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":[0.03911924,0.00048718302,0.94999504,0.00035092907,0.00007832919,0.00016947769,0.000502942,0.00036361255,0.008933219],"genre_scores_gemma":[0.69667804,0.0012585376,0.28323627,0.00010967496,0.000066314424,0.0010666448,0.0007540747,0.00009720853,0.016733276],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996464,0.00010384847,0.000020248146,0.00006334305,0.000112288995,0.00005388533],"domain_scores_gemma":[0.99970466,0.00013858017,0.000040220813,0.000011222633,0.00008293692,0.000022384502],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00072774687,0.000895587,0.0014333096,0.0005440183,0.0006458665,0.0015799415,0.0015525883,0.0015884504,0.0031260771],"category_scores_gemma":[0.0010191925,0.0007267645,0.0010563255,0.0010835959,0.0005757243,0.000963741,0.0008505025,0.0015686218,0.0003792549],"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":[0.0000064440724,0.000008593297,0.00008212996,0.00001557347,0.000008766971,0.000017797542,0.000008939254,0.9945834,0.00017964838,0.0020253267,0.00009977601,0.0029635993],"study_design_scores_gemma":[0.0000038367125,0.000008077802,0.000043971828,0.0000025343795,0.0000043929813,0.0000035109979,0.0000037991842,0.9989003,0.00007980439,0.0005316182,0.000415837,0.0000021876092],"about_ca_topic_score_codex":0.019966347,"about_ca_topic_score_gemma":0.018983493,"teacher_disagreement_score":0.019966347,"about_ca_system_score_codex":0.0018524941,"about_ca_system_score_gemma":0.0026825569,"threshold_uncertainty_score":0.03970021},"labels":[],"label_agreement":null},{"id":"W2277359330","doi":"10.14796/jwmm.r241-18","title":"Characterization of Green Roof Stormwater Runoff Quality","year":2011,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Urban Stormwater Management Solutions","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Stormwater; Surface runoff; Green roof; Stormwater management; Environmental science; Green infrastructure; Low-impact development; Roof; Civil engineering; Environmental planning; Engineering; Ecology","score_opus":0.050793884010067514,"score_gpt":0.23124554619048637,"score_spread":0.18045166218041886,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2277359330","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":[0.9948689,0.000069322006,0.0037173438,0.000008632542,0.0000017348665,0.000018808189,0.00069062447,0.00003332307,0.0005913746],"genre_scores_gemma":[0.9960329,0.00012908429,0.0021383462,0.000015412481,0.0000032572525,0.000011968492,0.001049586,0.000018413895,0.00060103124],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997247,0.00002071976,0.000011002104,0.000046552643,0.00015973693,0.00003742137],"domain_scores_gemma":[0.9997607,0.000039730952,0.00006133976,0.0000116958045,0.0001110926,0.00001542151],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002134526,0.0001684175,0.00029631736,0.0007547414,0.00021949122,0.0005590634,0.00014495826,0.00017859558,0.00057722954],"category_scores_gemma":[0.0003677159,0.00007492063,0.0002735599,0.0008324804,0.00018113307,0.00025034402,0.00023097798,0.00019015188,0.00013403643],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015799554,0.000098281365,0.4946708,0.00016401886,0.00012303778,0.0003113929,0.000436516,0.009272648,0.44699118,0.00026068446,0.00040533452,0.04710805],"study_design_scores_gemma":[0.0000042052907,0.00015143509,0.9254236,0.000013948905,0.000035933466,0.00013295378,0.0005246807,0.011741196,0.06038188,0.00016255635,0.0014117355,0.000015854188],"about_ca_topic_score_codex":0.009540893,"about_ca_topic_score_gemma":0.016881729,"teacher_disagreement_score":0.009540893,"about_ca_system_score_codex":0.00030830046,"about_ca_system_score_gemma":0.00030369003,"threshold_uncertainty_score":0.018970728},"labels":[],"label_agreement":null},{"id":"W2279101240","doi":"10.14796/jwmm.r241-12","title":"Comparison of RDII Unit Hydrograph Approaches for Continuous Simulation using SWMM 5","year":2011,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Hydrograph; Unit (ring theory); Computer science; Mathematics; Geography; Cartography","score_opus":0.17580575125951622,"score_gpt":0.3036830842754267,"score_spread":0.12787733301591045,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2279101240","genre_codex":"empirical","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":[0.63629854,0.00043183987,0.31958228,0.000788879,0.00033123925,0.0006105229,0.004715518,0.007982014,0.029259088],"genre_scores_gemma":[0.8545351,0.0002518151,0.1393225,0.00011734726,0.000030782598,0.00058042933,0.001908156,0.0009661255,0.0022877255],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99876356,0.00051699096,0.00018613465,0.00013620553,0.0002861422,0.00011101303],"domain_scores_gemma":[0.99149644,0.004954582,0.0003726565,0.0009903561,0.0018801633,0.0003058191],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0034471115,0.0006754221,0.000936186,0.001210589,0.0004885163,0.0013352355,0.0022824197,0.0010401802,0.0034066478],"category_scores_gemma":[0.011023574,0.0006269801,0.0010005268,0.0014494088,0.0003151925,0.0013728857,0.0008529897,0.0015380108,0.0006203549],"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":[0.0004898061,0.00026776214,0.007374736,0.00021045374,0.00015043019,0.00006657828,0.00021093013,0.9414885,0.0022512448,0.004431347,0.0022265464,0.040831696],"study_design_scores_gemma":[0.000036842524,0.00007526942,0.0016122083,0.000014492829,0.000015048314,0.000010565692,0.00005564689,0.99495894,0.0017424616,0.00045803055,0.0009931282,0.000027530426],"about_ca_topic_score_codex":0.03390723,"about_ca_topic_score_gemma":0.023962755,"teacher_disagreement_score":0.03390723,"about_ca_system_score_codex":0.0017476843,"about_ca_system_score_gemma":0.0012770279,"threshold_uncertainty_score":0.06741977},"labels":[],"label_agreement":null},{"id":"W2279479280","doi":"10.14796/jwmm.r235-02","title":"HSPF Application to Microbial Indicator Data","year":2009,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Fecal contamination and water quality","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"General partnership; Environmental science; Political science; Law","score_opus":0.029605751141159136,"score_gpt":0.27108994470138026,"score_spread":0.24148419356022113,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2279479280","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":[0.2725183,0.00027199904,0.54603,0.00065630366,0.0002557794,0.00056464475,0.05540754,0.1120847,0.012210716],"genre_scores_gemma":[0.6207514,0.00017072786,0.3306563,0.00017899378,0.0000975968,0.00051611307,0.039480913,0.0023741415,0.0057738232],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992638,0.00014704258,0.00006880655,0.00017205764,0.000265232,0.000082914106],"domain_scores_gemma":[0.9969228,0.0009980845,0.00020799776,0.0007729816,0.000964901,0.00013323947],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017120595,0.00044986315,0.00048527677,0.0021039094,0.00055918546,0.0007725106,0.0005492218,0.00043473742,0.004995537],"category_scores_gemma":[0.009571976,0.00036256068,0.0006321074,0.0021525996,0.00016609246,0.0008781315,0.00086975936,0.00054366136,0.0018269419],"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":[0.0004180379,0.00022283694,0.07990452,0.00039041744,0.00018288144,0.00064528885,0.0006294466,0.06477964,0.018964155,0.00274775,0.06848838,0.76262665],"study_design_scores_gemma":[0.00012610645,0.00016430918,0.097923204,0.00008790879,0.000058725134,0.0006810144,0.00041844972,0.76902735,0.03557328,0.007212034,0.08864788,0.00007974456],"about_ca_topic_score_codex":0.01798546,"about_ca_topic_score_gemma":0.013811508,"teacher_disagreement_score":0.01798546,"about_ca_system_score_codex":0.0006286849,"about_ca_system_score_gemma":0.0008333752,"threshold_uncertainty_score":0.035761535},"labels":[],"label_agreement":null},{"id":"W2280758637","doi":"10.14796/jwmm.r227-25","title":"Spatial Point Pattern Analysis for Water Mains Failures in Sanandaj, Iran","year":2007,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Urban and Rural Development Challenges","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Mains electricity; Point (geometry); Spatial distribution; Statistical analysis; Computer science; Space (punctuation); Civil engineering; Data mining; Statistics; Mathematics; Engineering; Geometry; Electrical engineering","score_opus":0.04406705376133725,"score_gpt":0.2885048723546074,"score_spread":0.24443781859327018,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2280758637","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":[0.9790203,0.00022404971,0.015081495,0.00011684451,0.000012597263,0.00011766596,0.0033499796,0.00017172344,0.0019052817],"genre_scores_gemma":[0.98825675,0.0001610308,0.008663736,0.000005344772,0.0000072841362,0.000106096064,0.0023093484,0.000013582574,0.00047680212],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992829,0.00016088378,0.0000629145,0.00010503059,0.00030728598,0.000080993246],"domain_scores_gemma":[0.99750465,0.0010168045,0.00050034485,0.00015778726,0.00075364165,0.00006678375],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008795827,0.00028118028,0.00056444335,0.0053600995,0.00043617532,0.0005790231,0.00056759967,0.0003211379,0.0018138222],"category_scores_gemma":[0.0041886317,0.00017453352,0.0006452408,0.006644234,0.0003331927,0.0006198026,0.0004765227,0.0003247515,0.00031313722],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024048051,0.00009520315,0.8458908,0.00025253993,0.00019696077,0.00065932685,0.0013453807,0.04776971,0.001833224,0.0019488502,0.0028224443,0.096945],"study_design_scores_gemma":[0.000014231439,0.00013218985,0.8831285,0.000030868818,0.000059110836,0.00034147446,0.0039006183,0.107737355,0.00075884437,0.001432408,0.0024231228,0.000041214218],"about_ca_topic_score_codex":0.051596127,"about_ca_topic_score_gemma":0.051896933,"teacher_disagreement_score":0.051596127,"about_ca_system_score_codex":0.0008765758,"about_ca_system_score_gemma":0.0009794981,"threshold_uncertainty_score":0.102591634},"labels":[],"label_agreement":null},{"id":"W2281687720","doi":"10.14796/jwmm.r207-16","title":"Comparing Rainfall Dependent Inflow and Infiltration Simulation Methods","year":2001,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Urban Stormwater Management Solutions","field":"Environmental Science","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Capital Regional District","funders":"","keywords":"Inflow; Infiltration (HVAC); Environmental science; Hydrology (agriculture); Stormwater; Combined sewer; Surface runoff; Meteorology; Geology; Geotechnical engineering; Geography","score_opus":0.04968305998045259,"score_gpt":0.29702482159697186,"score_spread":0.24734176161651927,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2281687720","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":[0.6834003,0.0014427493,0.26177466,0.0016204631,0.0009435398,0.0007305824,0.003999356,0.006008653,0.040079765],"genre_scores_gemma":[0.9357165,0.00058358035,0.056925226,0.0002705881,0.000095439274,0.00038758462,0.0017861244,0.00045589477,0.0037789561],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99881434,0.00052589976,0.00011967723,0.00015725859,0.0002379655,0.00014483529],"domain_scores_gemma":[0.9934395,0.0041722334,0.00036668257,0.00054909644,0.001160407,0.0003121561],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019708336,0.00076078955,0.0007389051,0.0009957298,0.00043678776,0.0012125884,0.0017635033,0.0015522025,0.0049782195],"category_scores_gemma":[0.009539058,0.0004724843,0.0007678172,0.0009798845,0.0003150423,0.001688326,0.0009828901,0.0013861331,0.00082150096],"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":[0.0004674147,0.0003934377,0.0053577614,0.0001325569,0.00013006409,0.000036767025,0.00007684232,0.95836794,0.0012487861,0.003103288,0.0017221665,0.028962875],"study_design_scores_gemma":[0.000052948933,0.000087907996,0.00075191737,0.0000095568985,0.000016373791,0.0000064797073,0.000024696354,0.997171,0.00084428664,0.00037300144,0.00064508116,0.000016655402],"about_ca_topic_score_codex":0.02056917,"about_ca_topic_score_gemma":0.01326338,"teacher_disagreement_score":0.02056917,"about_ca_system_score_codex":0.0010740423,"about_ca_system_score_gemma":0.0013329186,"threshold_uncertainty_score":0.04089892},"labels":[],"label_agreement":null},{"id":"W2284122494","doi":"10.14796/jwmm.r235-21","title":"Physical Model Study, CSO Diversion through Bottom Outlet Slot, Site DS-4 Upper Rouge Tunnel System","year":2009,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Hydraulic flow and structures","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Baton rouge; ROUGE; Geology; Art; Humanities; Computer science","score_opus":0.011388551745268599,"score_gpt":0.2188106889023647,"score_spread":0.2074221371570961,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2284122494","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":[0.99786735,0.0000063896723,0.0007879345,0.000016351305,0.0000031917589,0.000031418153,0.00026050254,0.000029522083,0.0009973405],"genre_scores_gemma":[0.9975318,0.000016505901,0.0009518717,0.0000074533996,0.0000018899553,0.000045711502,0.00026229874,0.0000060242264,0.001176368],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99990153,0.000016079872,0.000005500763,0.00003058293,0.000019199808,0.000027082524],"domain_scores_gemma":[0.9998542,0.000039917737,0.000021472812,0.000017879409,0.000033294364,0.000033291886],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015615752,0.00032015235,0.00043645294,0.00037667502,0.0008943075,0.0007772822,0.0007386045,0.000773825,0.001522647],"category_scores_gemma":[0.00025762,0.00028062513,0.00046710423,0.000397035,0.0004786562,0.00042044173,0.00034166893,0.00044448863,0.0002118288],"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":[0.000657237,0.0013070637,0.08171939,0.00008437995,0.000051342995,0.0010571966,0.00033871693,0.87321734,0.032826472,0.0012161233,0.0008459089,0.0066788564],"study_design_scores_gemma":[0.00023197856,0.0010091312,0.050887253,0.00001031031,0.000033849177,0.00011756864,0.00050389377,0.94173676,0.0042534256,0.00033373054,0.00083924225,0.000042779167],"about_ca_topic_score_codex":0.05105777,"about_ca_topic_score_gemma":0.049793556,"teacher_disagreement_score":0.05105777,"about_ca_system_score_codex":0.0009874052,"about_ca_system_score_gemma":0.0017712455,"threshold_uncertainty_score":0.101521134},"labels":[],"label_agreement":null},{"id":"W2286651811","doi":"10.14796/jwmm.r236-13","title":"Low Impact Development for Stormwater Quantity and Quality","year":2010,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Urban Stormwater Management Solutions","field":"Environmental Science","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Stormwater management; Low-impact development; Stormwater; Environmental planning; Environmental science; Environmental resource management; Business; Surface runoff","score_opus":0.03680762263096403,"score_gpt":0.2825511661975647,"score_spread":0.24574354356660066,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2286651811","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":[0.027538037,0.0022235757,0.62827593,0.004991522,0.00037278517,0.00040655723,0.0014764597,0.001222354,0.33349282],"genre_scores_gemma":[0.6657955,0.00489774,0.191321,0.0008419175,0.00010502209,0.00091307925,0.0014582812,0.00041983722,0.13424762],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99858344,0.00021402993,0.000046942212,0.00012033525,0.00094426953,0.00009113759],"domain_scores_gemma":[0.99930775,0.0002202276,0.00011944507,0.00007047024,0.00025728263,0.000024772462],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010502537,0.00062715966,0.00031586693,0.0005485723,0.00057819724,0.0017233989,0.0009975842,0.0007823301,0.008364199],"category_scores_gemma":[0.0020145972,0.00031902592,0.00073395815,0.0008519645,0.0007485125,0.001865869,0.0012479656,0.0013894354,0.0015963627],"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":[0.000042539577,0.00013100087,0.004738996,0.00035977637,0.000023300161,0.000088985194,0.00024470824,0.17632182,0.0076999143,0.62325823,0.038277827,0.1488128],"study_design_scores_gemma":[0.000038021815,0.00026660576,0.0045552943,0.0002506663,0.000041186966,0.00020300428,0.00021521893,0.38879353,0.013434006,0.1615361,0.4305755,0.000090792164],"about_ca_topic_score_codex":0.007112294,"about_ca_topic_score_gemma":0.011350894,"teacher_disagreement_score":0.008364199,"about_ca_system_score_codex":0.0036772648,"about_ca_system_score_gemma":0.0029599103,"threshold_uncertainty_score":0.027981043},"labels":[],"label_agreement":null},{"id":"W2286934501","doi":"10.14796/jwmm.r215-21","title":"Curve Numbers in Stormwater Runoff Simulation","year":2003,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Surface runoff; Stormwater; Runoff curve number; Environmental science; Hydrology (agriculture); Stormwater management; Geology; Geotechnical engineering","score_opus":0.01642748969963471,"score_gpt":0.2371396439508333,"score_spread":0.2207121542511986,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2286934501","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":[0.02761922,0.00048889016,0.95383036,0.00028170185,0.00021240015,0.00013665072,0.0004816655,0.002188362,0.01476072],"genre_scores_gemma":[0.5627515,0.0014825781,0.41372928,0.00012543175,0.00021414366,0.00050946546,0.0011349069,0.000960477,0.01909232],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99931276,0.00025792266,0.000037610484,0.00006713521,0.00027606433,0.000048537815],"domain_scores_gemma":[0.9980743,0.0010829916,0.00009105222,0.00021676117,0.00041512484,0.00011979791],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011098213,0.00054984726,0.00075523107,0.0008339428,0.00063316524,0.0011862811,0.0013212117,0.0011137966,0.0061151055],"category_scores_gemma":[0.007759203,0.0005846747,0.000393037,0.0015025816,0.00053562684,0.002361529,0.00095405243,0.0013215162,0.0024859384],"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":[0.000044083212,0.000029257124,0.00074659294,0.00002995645,0.0000066041907,0.00003350752,0.00003547446,0.92885196,0.00050845917,0.031566337,0.0027966613,0.035351112],"study_design_scores_gemma":[0.000005543723,0.0000068653612,0.00005274255,0.000005770968,0.0000013460935,0.0000041522744,0.0000039256934,0.9882555,0.00033028162,0.008855538,0.0024740337,0.0000043893624],"about_ca_topic_score_codex":0.010360488,"about_ca_topic_score_gemma":0.007558912,"teacher_disagreement_score":0.010360488,"about_ca_system_score_codex":0.00092200795,"about_ca_system_score_gemma":0.0007676858,"threshold_uncertainty_score":0.020600379},"labels":[],"label_agreement":null},{"id":"W2288007487","doi":"10.14796/jwmm.c397","title":"Thermal Investigation of Stromwater Management Ponds","year":2016,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Water Quality Monitoring Technologies","field":"Environmental Science","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"University of Guelph; Toronto and Region Conservation Authority","funders":"","keywords":"Surface runoff; Stormwater management; Environmental science; Stormwater; Hydrology (agriculture); Geology; Ecology; Biology; Geotechnical engineering","score_opus":0.032591074380676655,"score_gpt":0.23283043957457772,"score_spread":0.20023936519390106,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2288007487","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":[0.9955161,0.00002911672,0.0014913221,0.000012944381,0.0000034457876,0.000026744981,0.00016795142,0.000031181517,0.0027211441],"genre_scores_gemma":[0.99721366,0.000031138174,0.0007597329,0.000007398074,0.0000010741281,0.00001617007,0.00009987543,0.000005048056,0.0018658431],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.999858,0.000010430022,0.000005307529,0.000030249566,0.00005894651,0.00003687171],"domain_scores_gemma":[0.9998771,0.000016742797,0.000023757359,0.000011442875,0.000046942994,0.000024016595],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012847042,0.00012547168,0.00015124197,0.000255329,0.00057300134,0.000353071,0.00015972799,0.00013986329,0.0019152306],"category_scores_gemma":[0.0002545444,0.00012286693,0.00015874744,0.00027259713,0.00029039607,0.00021139761,0.00022475555,0.0001626838,0.00018944338],"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":[0.0008279788,0.00014483822,0.13212235,0.00019679728,0.000026053145,0.00066779874,0.0011254128,0.011630807,0.81866014,0.00078772986,0.0008006882,0.033009477],"study_design_scores_gemma":[0.000054355623,0.00088966737,0.6777609,0.000032919783,0.000039820326,0.00030458643,0.0017198486,0.025106195,0.28539458,0.00054689625,0.00812203,0.000028232695],"about_ca_topic_score_codex":0.0088915285,"about_ca_topic_score_gemma":0.024374379,"teacher_disagreement_score":0.0088915285,"about_ca_system_score_codex":0.000735996,"about_ca_system_score_gemma":0.000550461,"threshold_uncertainty_score":0.017679513},"labels":[],"label_agreement":null},{"id":"W2290408376","doi":"10.14796/jwmm.r225-05","title":"High Resolution Rainfall Information in Urban Run-off Simulation","year":2006,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Precipitation Measurement and Analysis","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Precipitation; Environmental science; Meteorology; Climatology; Remote sensing; Geography; Geology","score_opus":0.01758045101574014,"score_gpt":0.20388672508301156,"score_spread":0.18630627406727143,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2290408376","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":[0.9495487,0.00015764148,0.039378036,0.0004496693,0.00003376169,0.000055334407,0.001250504,0.0008052733,0.00832105],"genre_scores_gemma":[0.99457425,0.000044406483,0.00458865,0.00001628066,0.000006161752,0.000018120763,0.00033474728,0.000027363441,0.00039001286],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996908,0.00015191405,0.000018740686,0.000041743744,0.00004973781,0.00004714006],"domain_scores_gemma":[0.9991385,0.00049614965,0.00006903162,0.00008190238,0.00012289282,0.00009141333],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000651846,0.0003466989,0.0006294954,0.0004573131,0.00043617468,0.0007182426,0.00079039147,0.0008058712,0.0015151406],"category_scores_gemma":[0.0030227508,0.00046033834,0.00024793562,0.0009066473,0.00040350578,0.00082879834,0.00067377684,0.00060391944,0.00019484953],"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":[0.00002433742,0.000013648618,0.0008944549,0.000003574523,0.000004418478,0.000032522683,0.0000059515387,0.99768114,0.0001326329,0.00036794977,0.000105692634,0.00073368207],"study_design_scores_gemma":[0.000008721197,0.000005319861,0.00032321378,9.0594256e-7,0.0000016642125,0.0000028801064,0.0000054491607,0.999298,0.00008964706,0.00020061106,0.000060885137,0.0000026803973],"about_ca_topic_score_codex":0.026519574,"about_ca_topic_score_gemma":0.016088616,"teacher_disagreement_score":0.026519574,"about_ca_system_score_codex":0.00083399925,"about_ca_system_score_gemma":0.00060106575,"threshold_uncertainty_score":0.05273044},"labels":[],"label_agreement":null},{"id":"W2290598940","doi":"10.14796/jwmm.r215-07","title":"Directing Sampling based on Uncertainty Analysis","year":2003,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Water Quality and Resources Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Sampling (signal processing); Computer science; Uncertainty analysis; Statistics; Environmental science; Mathematics","score_opus":0.06672236975859572,"score_gpt":0.2576903753355526,"score_spread":0.1909680055769569,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2290598940","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":[0.0051392317,0.00011637231,0.9935587,0.0000681531,0.000011277379,0.0000665157,0.000033574786,0.00013422694,0.0008719579],"genre_scores_gemma":[0.3223926,0.0004246142,0.67463857,0.00015595838,0.00006802254,0.0005203137,0.00034472247,0.00016493426,0.0012903144],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9929975,0.0036057772,0.00033890718,0.0007434483,0.0020116789,0.00030260647],"domain_scores_gemma":[0.9794558,0.015293491,0.0008618963,0.0016902644,0.0024442973,0.00025423712],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009414599,0.001062026,0.0015165927,0.0022605094,0.0007242879,0.0018054689,0.0014095985,0.0008479273,0.001249338],"category_scores_gemma":[0.034567337,0.00067684357,0.0011263082,0.001396808,0.0015082181,0.0017855053,0.0031265316,0.0014172548,0.0002699003],"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":[0.00027429243,0.00012191657,0.005611667,0.000337651,0.00017591969,0.00021036949,0.00059099484,0.6053831,0.009775396,0.16431086,0.0015684802,0.21163934],"study_design_scores_gemma":[0.000024306191,0.000079056896,0.0006085116,0.000049130114,0.000034046727,0.000057193498,0.00007119516,0.891223,0.0059858956,0.09891349,0.002920721,0.000033473618],"about_ca_topic_score_codex":0.0036151838,"about_ca_topic_score_gemma":0.003190329,"teacher_disagreement_score":0.009414599,"about_ca_system_score_codex":0.0017683298,"about_ca_system_score_gemma":0.0023853602,"threshold_uncertainty_score":0.049789727},"labels":[],"label_agreement":null},{"id":"W2291337661","doi":"10.14796/jwmm.r207-05","title":"Watershed Assessment using an Integrated Modeling Approach","year":2001,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Watershed; Watershed management; Computer science; Environmental resource management; Environmental science; Management science; Data science; Engineering; Machine learning","score_opus":0.0446269601096685,"score_gpt":0.26866909376191805,"score_spread":0.22404213365224956,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2291337661","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":[0.011814251,0.00041669072,0.9696324,0.00040918848,0.000047887974,0.00013410677,0.00035095704,0.0010143799,0.016180085],"genre_scores_gemma":[0.41780987,0.0019728672,0.5680815,0.00015283005,0.0001009671,0.00061574567,0.00082607404,0.00019628933,0.010243913],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99943346,0.0001846888,0.00004411748,0.0000831726,0.00019905392,0.00005546432],"domain_scores_gemma":[0.9996394,0.00012046904,0.00003822608,0.00003499499,0.00013292464,0.000034067365],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007598795,0.00077058206,0.0008920935,0.00199517,0.00051162794,0.0028416773,0.0013997563,0.0011606086,0.003927007],"category_scores_gemma":[0.0017307791,0.0005032828,0.0011232204,0.001495488,0.00031278338,0.002204212,0.0016606578,0.00080554915,0.00059984793],"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":[0.000015997779,0.00007073909,0.0011727539,0.000048304864,0.00010978949,0.0000884954,0.00006366163,0.89135414,0.0008644256,0.038824216,0.001552654,0.065834716],"study_design_scores_gemma":[0.0000073999995,0.000014353512,0.00018758174,0.000016860007,0.000027981478,0.000015993697,0.00003045459,0.97720784,0.00023327119,0.01681103,0.0054372684,0.000009885602],"about_ca_topic_score_codex":0.014036579,"about_ca_topic_score_gemma":0.017089674,"teacher_disagreement_score":0.014036579,"about_ca_system_score_codex":0.0014692219,"about_ca_system_score_gemma":0.002316672,"threshold_uncertainty_score":0.027909756},"labels":[],"label_agreement":null},{"id":"W2292956775","doi":"10.14796/jwmm.r246-10","title":"Kinematics of Entrapped Air Pockets Within Stormwater Storage Tunnels","year":2013,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Hydraulic flow and structures","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Auburn University","keywords":"Stormwater; Stormwater management; Environmental science; Kinematics; Hydrology (agriculture); Geotechnical engineering; Geology; Surface runoff; Physics","score_opus":0.007821821546962216,"score_gpt":0.18467318907482663,"score_spread":0.17685136752786443,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2292956775","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":[0.98113865,0.00008156567,0.013714587,0.000108747634,0.000029317749,0.00003673456,0.00016448177,0.00010336602,0.004622566],"genre_scores_gemma":[0.9975896,0.00003712099,0.0010979812,0.0000032881808,0.0000022936952,0.0000059562612,0.000038973576,0.000011527601,0.0012132438],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998598,0.000013970091,0.000006717911,0.000026504458,0.000028996628,0.00006408536],"domain_scores_gemma":[0.99969184,0.000058759422,0.000058102225,0.000025765106,0.000042577587,0.00012292957],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017928077,0.00027398643,0.00043931976,0.00042508534,0.00052574166,0.0012695821,0.0005593709,0.0008507051,0.0037134981],"category_scores_gemma":[0.00092548545,0.0005305083,0.00027271616,0.00023223978,0.0009861647,0.0010892765,0.0013302072,0.0005892253,0.0005571353],"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":[0.00078216894,0.00025405906,0.03573469,0.000087497785,0.00004512332,0.001959636,0.00085784844,0.86483866,0.06374799,0.01872717,0.0009818558,0.01198334],"study_design_scores_gemma":[0.0000707443,0.0001613931,0.019196808,0.000031073883,0.000009537448,0.00018315131,0.00055110984,0.9719676,0.0041738483,0.002945777,0.0006664336,0.000042672837],"about_ca_topic_score_codex":0.0062505407,"about_ca_topic_score_gemma":0.0049109557,"teacher_disagreement_score":0.0062505407,"about_ca_system_score_codex":0.00056113204,"about_ca_system_score_gemma":0.0009543279,"threshold_uncertainty_score":0.012428284},"labels":[],"label_agreement":null},{"id":"W2295226344","doi":"10.14796/jwmm.r220-05","title":"Fate of Pathogens in Stormwater Plumes","year":2004,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Recreation; Brackish water; Stormwater; Stormwater management; Environmental science; Environmental planning; Geology; Surface runoff; Biology; Ecology; Oceanography","score_opus":0.011857408676749543,"score_gpt":0.2049296658538223,"score_spread":0.19307225717707277,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2295226344","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":[0.99558985,0.0003973349,0.003372483,0.000059088303,0.000004797936,0.000017140566,0.000060406644,0.000022650223,0.0004763185],"genre_scores_gemma":[0.9967168,0.00061696756,0.0018520892,0.000015565567,0.0000032968603,0.000008663584,0.000104357816,0.000004248314,0.0006779479],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998902,0.00002693825,0.000004202758,0.000011795676,0.00004258868,0.000024377703],"domain_scores_gemma":[0.99989665,0.00002687202,0.000028388491,0.0000048550305,0.000028507102,0.000014815886],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019238409,0.00025067,0.00016359413,0.0002735401,0.00022599244,0.00053901394,0.0001427933,0.00028681607,0.00038653496],"category_scores_gemma":[0.00042027482,0.00009428119,0.00013692807,0.00014025351,0.00019636305,0.00027872314,0.0001977872,0.000205324,0.00011739705],"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":[0.0004960775,0.00027513484,0.074643575,0.00016686006,0.00003376526,0.0009849125,0.00044407096,0.05777032,0.81260103,0.0033920375,0.00051960076,0.048672527],"study_design_scores_gemma":[0.000076340635,0.003707248,0.07229853,0.000079709425,0.00007565197,0.0013476517,0.0013777919,0.35006687,0.5597487,0.005634347,0.005527458,0.00005966368],"about_ca_topic_score_codex":0.0028717865,"about_ca_topic_score_gemma":0.0014719793,"teacher_disagreement_score":0.0028717865,"about_ca_system_score_codex":0.0003635402,"about_ca_system_score_gemma":0.00026707942,"threshold_uncertainty_score":0.0057101846},"labels":[],"label_agreement":null},{"id":"W2296459074","doi":"10.14796/jwmm.r207-15","title":"Developing a Model for Basement Flood Relief Works for the New Millennium","year":2001,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Flood Risk Assessment and Management","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Flood myth; Basement; Service (business); Water resource management; Civil engineering; Hydrology (agriculture); Geology; Geography; Archaeology; Environmental science; Engineering; Geotechnical engineering; Business","score_opus":0.0343543302297986,"score_gpt":0.2629377489570672,"score_spread":0.22858341872726856,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2296459074","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":[0.27970585,0.0005612789,0.6237956,0.003517947,0.00024867605,0.00016912186,0.0033222362,0.00096844713,0.08771082],"genre_scores_gemma":[0.83584046,0.00047668166,0.13009596,0.00018395267,0.000072721705,0.00037962536,0.0012811146,0.00027371148,0.0313958],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99985874,0.000042103944,0.0000068387376,0.000033398825,0.000021582193,0.00003735842],"domain_scores_gemma":[0.99966276,0.00017546865,0.00003346305,0.000019815614,0.0000705449,0.00003789149],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005571515,0.00044429398,0.00046270675,0.00044633346,0.00075141806,0.0013049634,0.0020273323,0.0017434309,0.010395366],"category_scores_gemma":[0.0017841442,0.00064789027,0.0008616422,0.00067314913,0.00048613513,0.0015901672,0.00097227015,0.0011013929,0.0009582782],"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":[0.000010257327,0.000012350771,0.00086991815,0.00001039588,0.000008887608,0.000044744564,0.00003160055,0.98241913,0.00007724991,0.012923818,0.00067208154,0.0029195729],"study_design_scores_gemma":[0.000008672219,0.0000041921,0.00013415405,0.000004502543,0.000004449808,0.000008961023,0.000026578731,0.9939978,0.00003647295,0.004430526,0.0013402662,0.000003436289],"about_ca_topic_score_codex":0.05907489,"about_ca_topic_score_gemma":0.050184663,"teacher_disagreement_score":0.05907489,"about_ca_system_score_codex":0.0019660457,"about_ca_system_score_gemma":0.0021208024,"threshold_uncertainty_score":0.11746204},"labels":[],"label_agreement":null},{"id":"W2297580056","doi":"10.14796/jwmm.r245-02","title":"Air-Water Interactions that Generate Large Water Lift through Vertical Shafts in Stormwater Conduits","year":2012,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Hydraulic flow and structures","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Stormwater; Electrical conduit; Storm; Lift (data mining); Environmental science; Hydrology (agriculture); Stormwater management; Precipitation; Meteorology; Geology; Geotechnical engineering; Surface runoff; Engineering; Computer science; Geography","score_opus":0.026915227050640436,"score_gpt":0.24705253686396594,"score_spread":0.22013730981332552,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2297580056","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":[0.99659353,0.00003289608,0.0022520432,0.000046766978,0.000008395675,0.000008565658,0.000012964496,0.000036658563,0.0010081371],"genre_scores_gemma":[0.9993709,0.000015017568,0.0002085348,0.0000033731558,0.000002511117,0.0000025139873,0.000006518076,0.0000027938029,0.00038785432],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99993134,0.000009047398,0.000002528324,0.000008077431,0.000016961332,0.0000321096],"domain_scores_gemma":[0.99985623,0.000044090037,0.00003222572,0.000005310527,0.000016066144,0.000046124867],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009569447,0.00018637444,0.00020222718,0.00031321158,0.0005443427,0.0004253638,0.00022936342,0.00034906768,0.0015082936],"category_scores_gemma":[0.00037188854,0.00021226247,0.00018311324,0.00012208166,0.00057513226,0.00027205344,0.00047804383,0.00023455679,0.00022176099],"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":[0.00097357976,0.00051174266,0.037379522,0.00015557886,0.00005163328,0.0050020167,0.00086981355,0.25603673,0.6573191,0.017382536,0.0021377585,0.022179991],"study_design_scores_gemma":[0.00020243411,0.0007427874,0.03152691,0.000018770374,0.00002584594,0.00048831286,0.0006816288,0.8901426,0.071283884,0.003279048,0.0015684409,0.00003927311],"about_ca_topic_score_codex":0.0031327412,"about_ca_topic_score_gemma":0.003533394,"teacher_disagreement_score":0.0031327412,"about_ca_system_score_codex":0.00042440917,"about_ca_system_score_gemma":0.00030491347,"threshold_uncertainty_score":0.0062289834},"labels":[],"label_agreement":null},{"id":"W2297683204","doi":"10.14796/jwmm.r208-16","title":"Modification of Detention Basin Outlet Structures using Calibrated SWMM Models","year":2002,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Urban Stormwater Management Solutions","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Storm Water Management Model; Detention basin; Stormwater management; Software; Hydrological modelling; Environmental science; Agency (philosophy); Hydrology (agriculture); Civil engineering; Computer science; Engineering; Stormwater; Surface runoff; Geology; Geotechnical engineering; Operating system","score_opus":0.07338891474540869,"score_gpt":0.23798284456784596,"score_spread":0.16459392982243726,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2297683204","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":[0.8368739,0.00006453372,0.14925136,0.00009102789,0.000048423266,0.0001180717,0.0014073809,0.0009703179,0.011175042],"genre_scores_gemma":[0.975274,0.00005613809,0.02263922,0.000012650257,0.0000026980945,0.000052189105,0.00049283676,0.000076436314,0.0013938528],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999765,0.00006962583,0.000018663775,0.000048400358,0.00005737969,0.000040968094],"domain_scores_gemma":[0.9995714,0.00013224347,0.00005260031,0.00010907408,0.00011275034,0.000022070024],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045727342,0.00038203323,0.0002699997,0.00033608146,0.00030082365,0.0008252949,0.00084543636,0.00046402897,0.0020198037],"category_scores_gemma":[0.0017408022,0.00036787827,0.0003789284,0.00040624748,0.00023819739,0.00060141215,0.0005686751,0.0005476132,0.00025650434],"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":[0.000025114363,0.000019524849,0.0029498364,0.000013655471,0.0000070534757,0.000021964272,0.000024549183,0.98704976,0.0019129876,0.00065114157,0.00017265862,0.007151851],"study_design_scores_gemma":[0.000011597066,0.000023481429,0.0024681739,0.0000068809954,0.000008212453,0.000008873575,0.000026797305,0.992751,0.0031890918,0.00041569307,0.001078544,0.000011692617],"about_ca_topic_score_codex":0.009155679,"about_ca_topic_score_gemma":0.015095871,"teacher_disagreement_score":0.009155679,"about_ca_system_score_codex":0.00096036616,"about_ca_system_score_gemma":0.00079222163,"threshold_uncertainty_score":0.018204808},"labels":[],"label_agreement":null},{"id":"W2298861663","doi":"10.14796/jwmm.r207-01","title":"The Role of Pollution Prevention in Stormwater Management","year":2001,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Water Quality and Resources Studies","field":"Environmental Science","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Stormwater management; Environmental planning; Pollution prevention; Stormwater; Pollution; Environmental science; Business; Surface runoff; Engineering; Waste management; Ecology","score_opus":0.028009224507433414,"score_gpt":0.22904236835755215,"score_spread":0.20103314385011872,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2298861663","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":[0.23770939,0.073958434,0.11571869,0.102908194,0.001645733,0.0004533641,0.00041240672,0.00066057197,0.46653327],"genre_scores_gemma":[0.9501617,0.018169297,0.012907534,0.0018683568,0.00028214013,0.00006278621,0.000050371003,0.000029606052,0.016468234],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987796,0.0006687323,0.000032439013,0.000091764574,0.00027451626,0.00015292352],"domain_scores_gemma":[0.9987974,0.00038174365,0.00024187184,0.000051031962,0.0003517188,0.00017620095],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018213331,0.00037106677,0.00032990982,0.00062087807,0.00093652995,0.0027738316,0.000619407,0.0010907323,0.0047853696],"category_scores_gemma":[0.0022675088,0.00016490577,0.00023431894,0.0005220031,0.0012109545,0.0014817422,0.00090765697,0.0005925891,0.0006407388],"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":[0.00031806674,0.0009768289,0.028718758,0.0012252472,0.00012304385,0.00022134445,0.0006441002,0.044884983,0.00583168,0.17931701,0.022325026,0.71541387],"study_design_scores_gemma":[0.00013942023,0.0016390838,0.074100904,0.0019708476,0.00029512332,0.0004159521,0.004502645,0.0802646,0.015564352,0.38343343,0.4375295,0.00014413577],"about_ca_topic_score_codex":0.011530139,"about_ca_topic_score_gemma":0.013148202,"teacher_disagreement_score":0.011530139,"about_ca_system_score_codex":0.0015581792,"about_ca_system_score_gemma":0.0043108445,"threshold_uncertainty_score":0.022926033},"labels":[],"label_agreement":null},{"id":"W2299097312","doi":"10.14796/jwmm.r206-15","title":"Twelve Towns Retention Treatment Facility System Modeling","year":2000,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Environmental and Sediment Control","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Sewage; Environmental science; Drainage; Hydrology (agriculture); Drainage system (geomorphology); Waste management; Environmental engineering; Geology; Engineering; Geotechnical engineering","score_opus":0.015651412772826785,"score_gpt":0.1884934586094889,"score_spread":0.17284204583666213,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2299097312","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":[0.6080121,0.00067830965,0.1962687,0.0028789695,0.00023124754,0.00069373735,0.019673117,0.0017959394,0.16976787],"genre_scores_gemma":[0.9095715,0.0003031202,0.026634313,0.00015200804,0.000028016142,0.00056316744,0.0042232634,0.0001424432,0.058382165],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99953175,0.00012852157,0.000015392841,0.00009200531,0.00009744425,0.00013493425],"domain_scores_gemma":[0.9993229,0.00023459204,0.000072325725,0.000043327676,0.0002507792,0.0000761216],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00055584084,0.0006415961,0.00075080426,0.00058531563,0.001028065,0.0014316386,0.0022572747,0.0016874302,0.017701358],"category_scores_gemma":[0.0015648998,0.00051341666,0.0009604105,0.0009003686,0.00045397482,0.001052548,0.0008831036,0.0011303778,0.0015865805],"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":[0.0000462382,0.00007866163,0.0016850001,0.000032269494,0.0000204676,0.000073503645,0.000039296752,0.9871257,0.00025711922,0.0050524655,0.0023875684,0.0032016467],"study_design_scores_gemma":[0.000025121117,0.000024452725,0.00050500274,0.000005504002,0.000009871139,0.000011280132,0.000043150536,0.9954081,0.00011374649,0.0011578344,0.002685298,0.000010483381],"about_ca_topic_score_codex":0.091039,"about_ca_topic_score_gemma":0.059844997,"teacher_disagreement_score":0.091039,"about_ca_system_score_codex":0.0021541712,"about_ca_system_score_gemma":0.0024519453,"threshold_uncertainty_score":0.18101817},"labels":[],"label_agreement":null},{"id":"W2299351234","doi":"10.14796/jwmm.r241-08","title":"Modeling Green Infrastructure Components in a Combined Sewer Area","year":2011,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Urban Stormwater Management Solutions","field":"Environmental Science","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Office of Research and Development; U.S. Environmental Protection Agency","keywords":"Green infrastructure; Combined sewer; Environmental science; Business; Environmental planning; Stormwater; Surface runoff; Ecology","score_opus":0.04451700880586626,"score_gpt":0.20366194508896227,"score_spread":0.159144936283096,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2299351234","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":[0.8892446,0.0001883741,0.071102515,0.0003134768,0.00003802263,0.00014905498,0.00084729184,0.000421624,0.037694957],"genre_scores_gemma":[0.97297806,0.00015655658,0.009915231,0.00003153998,0.000010393415,0.0001462892,0.000251119,0.00007766079,0.016433189],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998128,0.00003233977,0.0000069518983,0.00004916969,0.000044605265,0.000054207805],"domain_scores_gemma":[0.999726,0.000112046546,0.000032637738,0.000018925262,0.00007020673,0.00004014755],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022870349,0.0005338053,0.0006449927,0.0006009149,0.00080761174,0.0018792044,0.0011800415,0.0019729524,0.0051667406],"category_scores_gemma":[0.00057099503,0.00062219525,0.00092505297,0.0007096447,0.0006951056,0.0011783442,0.00094540964,0.0007548123,0.0005703858],"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":[0.000016889291,0.00003636083,0.0011256394,0.000008493644,0.00000993108,0.00004809114,0.000023257064,0.9956872,0.00073475036,0.0011737974,0.000092592076,0.0010428915],"study_design_scores_gemma":[0.000007507629,0.000014707244,0.00040712763,0.0000018477328,0.0000063735138,0.000005920362,0.000027809045,0.9987632,0.00015726645,0.00028045295,0.00032432712,0.000003367053],"about_ca_topic_score_codex":0.07418369,"about_ca_topic_score_gemma":0.056041576,"teacher_disagreement_score":0.07418369,"about_ca_system_score_codex":0.0016991703,"about_ca_system_score_gemma":0.0016120533,"threshold_uncertainty_score":0.1475038},"labels":[],"label_agreement":null},{"id":"W2300215658","doi":"10.14796/jwmm.r235-23","title":"A Simulation Study on Using Inverse Transient Analysis for Leak Detection in Water Distribution Networks","year":2009,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Water Systems and Optimization","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"National Research Council Canada; University of Toronto","funders":"University of Toronto","keywords":"Leak detection; Transient (computer programming); Leak; Environmental science; Transient analysis; Computer science; Distribution (mathematics); Engineering; Civil engineering; Environmental engineering; Transient response; Mathematics; Electrical engineering","score_opus":0.02611733913303207,"score_gpt":0.23832353157089795,"score_spread":0.21220619243786587,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2300215658","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":[0.9597428,0.00011844934,0.031869847,0.00013279733,0.000011383489,0.00008516417,0.0001897317,0.0000951788,0.007754674],"genre_scores_gemma":[0.99204046,0.00012171492,0.0071259765,0.000008478458,0.0000023817581,0.000038588903,0.000078592406,0.000006015935,0.0005778785],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997279,0.00015721207,0.000013472211,0.000019233597,0.00004452583,0.000037623635],"domain_scores_gemma":[0.99672973,0.002680541,0.00012938457,0.000096131196,0.00032217748,0.00004204373],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00085342576,0.00036793295,0.00050266023,0.0004781206,0.00030254936,0.00043256575,0.00036445435,0.00060258986,0.0009848657],"category_scores_gemma":[0.0023655116,0.00018008568,0.0005103895,0.00055871607,0.00032928638,0.000591811,0.0002786461,0.00037974297,0.00006818428],"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":[0.00009997575,0.00007860069,0.0030862645,0.000035577355,0.0000112997495,0.00006243734,0.000045795856,0.99069935,0.0013180593,0.0010689555,0.00010900435,0.0033847499],"study_design_scores_gemma":[0.00001559893,0.0001281985,0.00072929444,0.0000050141216,0.0000111998625,0.00001233765,0.00004321279,0.99756694,0.0011410799,0.00019440497,0.00014730952,0.000005383581],"about_ca_topic_score_codex":0.011694818,"about_ca_topic_score_gemma":0.0069111255,"teacher_disagreement_score":0.011694818,"about_ca_system_score_codex":0.00053477037,"about_ca_system_score_gemma":0.00040146764,"threshold_uncertainty_score":0.0232535},"labels":[],"label_agreement":null},{"id":"W2300437880","doi":"10.14796/jwmm.r235-04","title":"GIS Applications for Regulatory Compliance","year":2009,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Urban Stormwater Management Solutions","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Enforcement; Compliance (psychology); Regulatory authority; Business; Environmental planning; Risk analysis (engineering); Environmental resource management; Public administration; Political science; Law; Geography; Environmental science; Psychology","score_opus":0.03651025752917707,"score_gpt":0.2535884638704016,"score_spread":0.21707820634122454,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2300437880","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":[0.0047442634,0.0016066227,0.6703424,0.0053962185,0.0009666097,0.0014311672,0.02316032,0.15946071,0.13289182],"genre_scores_gemma":[0.07869042,0.0038950916,0.8156012,0.0014542094,0.00041283172,0.0035552413,0.040509064,0.01335208,0.042529885],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9947802,0.0019187644,0.0007233994,0.00052430294,0.0018524022,0.00020090585],"domain_scores_gemma":[0.9872299,0.006563605,0.000594316,0.0024362653,0.0028825668,0.00029333532],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0066086934,0.0020643754,0.0011888972,0.0063411444,0.0015122758,0.0067322906,0.0029257552,0.0029657984,0.09163069],"category_scores_gemma":[0.028899457,0.0011916539,0.0018020174,0.00790792,0.0010371306,0.0050758044,0.0050337296,0.0023377412,0.036553785],"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":[0.00027911304,0.00020227762,0.0023976672,0.0011612948,0.000106780426,0.0010416099,0.0021484813,0.019240644,0.0027416372,0.10306979,0.40009356,0.46751717],"study_design_scores_gemma":[0.00013021067,0.000048418573,0.0009972393,0.00045597373,0.000032956497,0.0005677018,0.0008165252,0.042433787,0.0029986766,0.062348384,0.88908595,0.000084155756],"about_ca_topic_score_codex":0.0048101633,"about_ca_topic_score_gemma":0.0031599007,"teacher_disagreement_score":0.09163069,"about_ca_system_score_codex":0.0011902727,"about_ca_system_score_gemma":0.0023675268,"threshold_uncertainty_score":0.30653524},"labels":[],"label_agreement":null},{"id":"W2300513497","doi":"10.14796/jwmm.r228-15","title":"Characterization and Comparison of Sediments from Four Stormwater Ponds","year":2008,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Urban Stormwater Management Solutions","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada; Ministry of Environment; McMaster University","keywords":"Stormwater; Christian ministry; Environmental science; Agency (philosophy); Environmental protection; Sediment; Environmental planning; Water resource management; Hydrology (agriculture); Environmental engineering; Geology; Surface runoff; Political science; Geotechnical engineering; Geomorphology; Ecology","score_opus":0.03874362217519836,"score_gpt":0.231477350164823,"score_spread":0.19273372798962463,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2300513497","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":[0.99702376,0.000051003466,0.0007821281,0.000012118788,0.000003474585,0.000017696966,0.00054854975,0.000036419468,0.001524849],"genre_scores_gemma":[0.9941275,0.000113612834,0.002086229,0.00001941293,0.0000035642374,0.0000125843535,0.0011917651,0.000018136718,0.002427195],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9998869,0.0000042988,0.0000120106315,0.000030210163,0.000045250858,0.000021298967],"domain_scores_gemma":[0.999905,0.000008009837,0.000022358114,0.0000064601904,0.000043257434,0.000014887267],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010223052,0.00025408322,0.00019318369,0.0010695624,0.00064997165,0.0005966508,0.00014414312,0.00024395168,0.00092309614],"category_scores_gemma":[0.00021405466,0.0001318105,0.00017453435,0.00079701206,0.00022253706,0.00017075111,0.00027053128,0.00013765779,0.000295466],"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":[0.0002784086,0.000052297557,0.15933324,0.00012024512,0.00003152243,0.00061499473,0.0006020142,0.0005976498,0.8189299,0.00008130079,0.0001834376,0.019174961],"study_design_scores_gemma":[0.00001186614,0.00015737806,0.85311496,0.000012577301,0.000052101983,0.00074822473,0.00073481887,0.001346215,0.13895819,0.00007828398,0.004775208,0.000010190023],"about_ca_topic_score_codex":0.011972774,"about_ca_topic_score_gemma":0.023413608,"teacher_disagreement_score":0.011972774,"about_ca_system_score_codex":0.0003218459,"about_ca_system_score_gemma":0.000392608,"threshold_uncertainty_score":0.023806214},"labels":[],"label_agreement":null},{"id":"W2300714830","doi":"10.14796/jwmm.r220-29","title":"Clogging of Permeable Concrete Block Pavement by Street Particulates and Rain","year":2004,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Asphalt Pavement Performance Evaluation","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Clogging; Block (permutation group theory); Particulates; Environmental science; Geotechnical engineering; Geology; Geography; Archaeology; Mathematics; Chemistry","score_opus":0.012064803236169151,"score_gpt":0.21412741878641736,"score_spread":0.2020626155502482,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2300714830","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":[0.99927133,0.00009085028,0.0003695513,0.00000257987,0.0000011758827,0.00000696114,0.000023174189,0.000008673141,0.0002256015],"genre_scores_gemma":[0.9988802,0.00008381976,0.00048074784,0.0000057101024,0.0000018324007,0.000003805628,0.000077561206,0.000005311636,0.00046109292],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9997353,0.000040265488,0.000012652035,0.00006769134,0.000080982245,0.00006309606],"domain_scores_gemma":[0.9995198,0.00012908326,0.00013498451,0.00003640262,0.00011747896,0.00006224046],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020925945,0.00026577682,0.00035568437,0.00035841102,0.0002940917,0.00031767806,0.00016791992,0.0003776208,0.0006744305],"category_scores_gemma":[0.00051731564,0.00018824005,0.00026915612,0.00017678492,0.0002020516,0.00029979664,0.00021623439,0.00019344543,0.00017013209],"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":[0.00061217963,0.000052485262,0.040107798,0.00006275682,0.000024789257,0.00031127423,0.00020567927,0.00070767757,0.9532167,0.000036943813,0.000031470245,0.004630364],"study_design_scores_gemma":[0.000013611452,0.0023677875,0.38682666,0.000011809099,0.00005211925,0.0007398548,0.00041118063,0.0055420473,0.60305184,0.000059040707,0.0009022733,0.000021755768],"about_ca_topic_score_codex":0.005959012,"about_ca_topic_score_gemma":0.007323801,"teacher_disagreement_score":0.005959012,"about_ca_system_score_codex":0.0002983146,"about_ca_system_score_gemma":0.00017611968,"threshold_uncertainty_score":0.0118486285},"labels":[],"label_agreement":null},{"id":"W2300734896","doi":"10.14796/jwmm.r245-08","title":"Rainfall Derived Inflow and Infiltration Modeling Approaches","year":2012,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Urban Stormwater Management Solutions","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Inflow; Sanitary sewer; Infiltration (HVAC); Environmental science; Hydrology (agriculture); Geotechnical engineering; Geology; Environmental engineering; Meteorology; Geography","score_opus":0.05378439422957579,"score_gpt":0.21122212081247654,"score_spread":0.15743772658290076,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2300734896","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":[0.05674895,0.0012770554,0.88814205,0.00059577666,0.00017673796,0.00036425603,0.005037548,0.0029452676,0.044712428],"genre_scores_gemma":[0.652187,0.0064724823,0.29493746,0.00040638752,0.00027553993,0.0010697781,0.0054624644,0.00087089295,0.038318057],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99965894,0.00008206736,0.000028080929,0.00007217232,0.00012330712,0.000035390367],"domain_scores_gemma":[0.9996182,0.0001603819,0.00005944961,0.000028755603,0.0001203349,0.000012895019],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004668732,0.00094232144,0.0006271956,0.00075775816,0.00028102726,0.0011613745,0.0017532603,0.0007627248,0.0036949131],"category_scores_gemma":[0.0010252725,0.00048006218,0.0009764815,0.0013138077,0.00020155094,0.0012401214,0.00074002205,0.0009535363,0.0010150379],"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":[0.00005025076,0.00009231077,0.0046553514,0.00030634343,0.00008638382,0.000077064935,0.0001427104,0.9116211,0.005290339,0.015334279,0.00315108,0.05919279],"study_design_scores_gemma":[0.000021358881,0.000027756436,0.0013421535,0.00004022275,0.000029251541,0.00002894413,0.000040488074,0.982327,0.002660654,0.0036473686,0.009796522,0.000038230744],"about_ca_topic_score_codex":0.011554446,"about_ca_topic_score_gemma":0.013423436,"teacher_disagreement_score":0.011554446,"about_ca_system_score_codex":0.00087705575,"about_ca_system_score_gemma":0.0010686809,"threshold_uncertainty_score":0.022974372},"labels":[],"label_agreement":null},{"id":"W2300790086","doi":"10.14796/jwmm.r220-21","title":"GIS Applications for Water Distribution Systems","year":2004,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Water Systems and Optimization","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Geographic information system; GIS applications; GIS and public health; Distribution (mathematics); Computer science; AM/FM/GIS; Remote sensing; Geography; Mathematics","score_opus":0.011417705261526535,"score_gpt":0.1955840947652687,"score_spread":0.18416638950374217,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2300790086","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":[0.005390763,0.004292723,0.7611735,0.0021211868,0.00073326495,0.00052747445,0.02337642,0.087207764,0.11517688],"genre_scores_gemma":[0.09189615,0.012891341,0.7780634,0.0010756659,0.00059224654,0.0013497117,0.046414346,0.009578423,0.05813886],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9992754,0.00018778484,0.00007391742,0.00008182865,0.00034320238,0.00003781891],"domain_scores_gemma":[0.9989229,0.0005135125,0.000043180873,0.00014056443,0.00034036636,0.000039446168],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00087360945,0.0011681035,0.0006537997,0.002516062,0.0005544057,0.0020257593,0.00125826,0.0009658681,0.056620337],"category_scores_gemma":[0.0039203893,0.0005949524,0.00078675826,0.0048955693,0.00027960812,0.0018144429,0.0016165922,0.0010802591,0.019598003],"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":[0.00011891549,0.00007316918,0.0016623909,0.0012626586,0.000101187194,0.00077240623,0.00069232367,0.037107006,0.004495159,0.07358985,0.3781584,0.50196654],"study_design_scores_gemma":[0.00005369919,0.000019268207,0.0005662623,0.00017138863,0.00002483095,0.000505868,0.00018105285,0.052926153,0.003139754,0.036843456,0.90553087,0.00003744038],"about_ca_topic_score_codex":0.0029765847,"about_ca_topic_score_gemma":0.0026786535,"teacher_disagreement_score":0.056620337,"about_ca_system_score_codex":0.0006165662,"about_ca_system_score_gemma":0.000566866,"threshold_uncertainty_score":0.18941385},"labels":[],"label_agreement":null},{"id":"W2301098401","doi":"10.14796/jwmm.r215-15","title":"Implementation of a Program to Prevent Sanitary Sewer Overflows by Reduction of Stormwater Inflow","year":2003,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Urban Stormwater Management Solutions","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Combined sewer; Stormwater; Inflow; Flooding (psychology); Sanitary sewer; Environmental science; Stormwater management; Hydrology (agriculture); Sewerage; Water resource management; Environmental engineering; Surface runoff; Engineering; Geography; Geotechnical engineering; Meteorology","score_opus":0.013203919690484131,"score_gpt":0.25653636856016815,"score_spread":0.24333244886968403,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2301098401","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":[0.9696017,0.00006418803,0.016307527,0.0010313148,0.000033917684,0.0012258127,0.00023853342,0.0009130197,0.010583994],"genre_scores_gemma":[0.9755932,0.00009875505,0.01947036,0.00014001912,0.000014276624,0.0003805067,0.00027992943,0.00000942379,0.0040134597],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99978346,0.00006430153,0.000007024187,0.000030233668,0.000055162593,0.000059844002],"domain_scores_gemma":[0.9997013,0.00006225948,0.00007729166,0.000027115811,0.00005195366,0.00007999768],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024294545,0.0002313842,0.00013980154,0.00024344375,0.00046766427,0.00043364827,0.0005624541,0.0003691405,0.0019414936],"category_scores_gemma":[0.0008044967,0.00010057292,0.0002075098,0.0002272749,0.00023771188,0.0002537973,0.00050818094,0.00029570778,0.0001728268],"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":[0.0016837828,0.0105424225,0.10834506,0.00060486427,0.00016014992,0.0009120226,0.0013187194,0.10183867,0.040647022,0.0061635985,0.017367223,0.7104165],"study_design_scores_gemma":[0.0024936236,0.024149003,0.4916715,0.00025596927,0.00044508558,0.0005038995,0.003584454,0.31855363,0.06678988,0.0040345225,0.08738454,0.00013395933],"about_ca_topic_score_codex":0.017426915,"about_ca_topic_score_gemma":0.037462063,"teacher_disagreement_score":0.017426915,"about_ca_system_score_codex":0.00076423044,"about_ca_system_score_gemma":0.003450963,"threshold_uncertainty_score":0.03465092},"labels":[],"label_agreement":null},{"id":"W2301155771","doi":"10.14796/jwmm.r207-18","title":"An Installed Accuracy Assessment using Dye Dilution Testing for Seven Common Flow Metering Technologies","year":2001,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Water Systems and Optimization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Metering mode; Dilution; Protocol (science); Flow measurement; Accuracy and precision; Indicator dilution; Computer science; Flow (mathematics); Metre; Environmental science; Engineering; Mechanical engineering; Statistics; Mathematics; Mechanics; Medicine","score_opus":0.04841161878859767,"score_gpt":0.2799283808440703,"score_spread":0.2315167620554726,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2301155771","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":[0.73955995,0.0018673063,0.2379118,0.0003069272,0.00020337595,0.0017310397,0.0018674906,0.0012101766,0.01534196],"genre_scores_gemma":[0.7478069,0.0009386923,0.24078906,0.0001160396,0.00003549368,0.00079036324,0.0013538765,0.00012160371,0.008047938],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9848504,0.0025928523,0.0013348954,0.0011387707,0.009711738,0.00037141918],"domain_scores_gemma":[0.97816294,0.0046471083,0.0019197315,0.001684796,0.013363488,0.00022194271],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008191435,0.0008886009,0.0007475487,0.004188138,0.00095956365,0.0011491171,0.0012828716,0.0009953827,0.0018079395],"category_scores_gemma":[0.014913283,0.00042915303,0.00068310095,0.0022742297,0.0007597042,0.0013691116,0.0010103673,0.0006000661,0.0006187662],"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":[0.00085417915,0.00079228927,0.17763412,0.0010350018,0.00017360985,0.00031916486,0.0018089786,0.014648292,0.4286827,0.0031188098,0.0023746993,0.36855823],"study_design_scores_gemma":[0.0000834303,0.0052891364,0.17236288,0.00017024211,0.00036818915,0.0007141547,0.0008400591,0.03462688,0.76086915,0.0009306492,0.02343361,0.00031164286],"about_ca_topic_score_codex":0.0053566257,"about_ca_topic_score_gemma":0.01819885,"teacher_disagreement_score":0.008191435,"about_ca_system_score_codex":0.0021054398,"about_ca_system_score_gemma":0.0012555837,"threshold_uncertainty_score":0.043320954},"labels":[],"label_agreement":null},{"id":"W2302565844","doi":"10.14796/jwmm.c394","title":"Assessing the inactivation of Salmonella in dairy wastewater at varying thermal conditions","year":2016,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Listeria monocytogenes in Food Safety","field":"Biochemistry, Genetics and Molecular Biology","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Salmonella; Wastewater; Environmental science; Food science; Waste management; Microbiology; Chemistry; Biology; Environmental engineering; Bacteria; Engineering","score_opus":0.06528568720021011,"score_gpt":0.3219793802134775,"score_spread":0.2566936930132674,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2302565844","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":[0.9990509,0.000061677,0.0006078904,0.000006409147,0.0000018716611,0.000008777593,0.00010089808,0.0000042849615,0.00015736802],"genre_scores_gemma":[0.9970613,0.0002379612,0.0018704581,0.000013156845,0.0000016263657,0.000026311822,0.0002728397,0.000003158537,0.00051316136],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99976104,0.00006439386,0.000027975508,0.00003941516,0.000066639215,0.000040521045],"domain_scores_gemma":[0.9998155,0.00005175194,0.000038657196,0.000011016795,0.00006940282,0.000013713631],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002974776,0.0002290601,0.00026586553,0.00018367315,0.00016228764,0.0003105948,0.00018388325,0.00031627947,0.00042258523],"category_scores_gemma":[0.00036925805,0.0001223728,0.0002644894,0.0002801971,0.00012326028,0.00020746648,0.00016794617,0.0002596618,0.00013293744],"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":[0.0003607629,0.00012886101,0.008640065,0.0000777569,0.000012546313,0.000021814316,0.00009138189,0.00076464936,0.98654115,0.000017246131,0.000024307958,0.0033192546],"study_design_scores_gemma":[0.000010692347,0.0031124176,0.04711131,0.00001435582,0.00004719408,0.00005944939,0.00032459025,0.003724229,0.9452551,0.000042929983,0.00028447862,0.000013195871],"about_ca_topic_score_codex":0.0019310318,"about_ca_topic_score_gemma":0.0025473672,"teacher_disagreement_score":0.0019310318,"about_ca_system_score_codex":0.00026291425,"about_ca_system_score_gemma":0.00022287661,"threshold_uncertainty_score":0.0038395524},"labels":[],"label_agreement":null},{"id":"W2302958509","doi":"10.14796/jwmm.r225-17","title":"Hydraulic Changes to Stormwater Flow Through Wetlands","year":2006,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Peatlands and Wetlands Ecology","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Wetland; Stormwater; Environmental science; Stormwater management; Hydrology (agriculture); Water resource management; Key (lock); Flow (mathematics); Surface runoff; Ecology; Engineering; Geotechnical engineering","score_opus":0.013106655982004828,"score_gpt":0.21590702213277618,"score_spread":0.20280036615077135,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2302958509","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":[0.99921894,0.000017359944,0.0003846933,0.0000070693527,0.0000012418317,0.0000025806598,0.000046804176,0.000011722422,0.00030968804],"genre_scores_gemma":[0.9996797,0.000016809143,0.00013939239,0.0000026431446,0.0000012064532,0.0000021245799,0.000045478013,0.0000016397329,0.0001111051],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999933,0.000012128456,0.0000030358028,0.000012586882,0.00001565383,0.000023684666],"domain_scores_gemma":[0.999892,0.000027134436,0.000031693402,0.000006230186,0.000023423177,0.000019450597],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009605523,0.000071178525,0.00010891456,0.00031998788,0.00019424704,0.00028300186,0.000084779094,0.000100914054,0.00046926626],"category_scores_gemma":[0.00036273978,0.00007300943,0.00011786367,0.00021146958,0.00024618895,0.00021539502,0.00018533228,0.00010822837,0.00004623269],"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":[0.00034605822,0.000108899956,0.71757245,0.00006919396,0.00008708839,0.0005211359,0.0008016779,0.01534366,0.21589483,0.0004302138,0.00038611676,0.048438627],"study_design_scores_gemma":[0.0000043140203,0.000101717655,0.98818874,0.0000036191652,0.000009583074,0.00007532663,0.00027513131,0.0056135645,0.005132995,0.00015244196,0.00043426693,0.000008341495],"about_ca_topic_score_codex":0.0075476477,"about_ca_topic_score_gemma":0.011663477,"teacher_disagreement_score":0.0075476477,"about_ca_system_score_codex":0.00035743037,"about_ca_system_score_gemma":0.00018789468,"threshold_uncertainty_score":0.015007436},"labels":[],"label_agreement":null},{"id":"W2303173690","doi":"10.14796/jwmm.r227-24","title":"A Modeling Framework and Preliminary Results in Assessing Phnom Penh's Sewage Discharges","year":2007,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Water Governance and Infrastructure","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Summit; Sanitation; Sustainable development; Human health; Sewage; Environmental planning; Business; Environmental science; Water resource management; Environmental resource management; Environmental protection; Environmental health; Environmental engineering; Geography; Political science; Medicine; Cartography","score_opus":0.022600135377053198,"score_gpt":0.3025215282819968,"score_spread":0.2799213929049436,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2303173690","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":[0.57787323,0.00031494387,0.3905077,0.0018302856,0.00006014376,0.00039424043,0.0010769026,0.00033226248,0.02761034],"genre_scores_gemma":[0.8603778,0.00027513292,0.13257354,0.000117823176,0.000019027362,0.00037559704,0.000372825,0.00004294491,0.0058453004],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994506,0.00030933155,0.000022378814,0.0000836053,0.00007883896,0.00005510643],"domain_scores_gemma":[0.99884605,0.0008853032,0.00005208957,0.00003556654,0.00015059141,0.000030401261],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017214582,0.0006983112,0.0005006839,0.00065730966,0.0010609961,0.0020448247,0.0009163075,0.0013239451,0.001965201],"category_scores_gemma":[0.002425782,0.00037287312,0.000801375,0.0008208175,0.0006581819,0.0011975453,0.0008945134,0.0011149675,0.00018856447],"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":[0.00005587607,0.00030251028,0.0045487443,0.000039199353,0.000023855078,0.00009214805,0.00013390277,0.952465,0.0010415089,0.03147559,0.00041665044,0.009404921],"study_design_scores_gemma":[0.000015178619,0.000045810157,0.00052348734,0.00000399666,0.000010089005,0.000006928063,0.000095743635,0.9934643,0.0005420262,0.004779069,0.00050427567,0.000009029945],"about_ca_topic_score_codex":0.08857875,"about_ca_topic_score_gemma":0.05899779,"teacher_disagreement_score":0.08857875,"about_ca_system_score_codex":0.0029362778,"about_ca_system_score_gemma":0.0024318716,"threshold_uncertainty_score":0.17612636},"labels":[],"label_agreement":null},{"id":"W2303183965","doi":"10.14796/jwmm.r241-16","title":"Prediction of Water Demands in a Water Treatment Plant Using an Artificial Neural Network Model","year":2011,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Water Quality Monitoring Technologies","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Artificial neural network; Character (mathematics); Computer science; Artificial intelligence; Machine learning; Mathematics","score_opus":0.16398160336759737,"score_gpt":0.26118637540544887,"score_spread":0.0972047720378515,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2303183965","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":[0.8634928,0.00017907942,0.12760721,0.0006499989,0.000080968995,0.000110931134,0.0008716327,0.00043419446,0.00657311],"genre_scores_gemma":[0.9915155,0.00007338861,0.0051437765,0.000031590313,0.000010894178,0.00008571983,0.0002912425,0.000012555923,0.0028353652],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997924,0.00004699402,0.000014459194,0.000062243555,0.000040499483,0.000043382566],"domain_scores_gemma":[0.9993863,0.0003713834,0.00007086195,0.0000138412615,0.000119420736,0.00003817899],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046994464,0.00090024894,0.0006848505,0.0004049263,0.0005333148,0.0008459307,0.0008058743,0.0017350924,0.0022825056],"category_scores_gemma":[0.0012595706,0.00068740913,0.00046784038,0.00050960877,0.00043806274,0.000968035,0.00040581182,0.0009904975,0.0002474305],"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":[0.00003832114,0.000027703241,0.0008198646,0.000008577482,0.000005963638,0.000025661118,0.0000052994724,0.9976046,0.0002455023,0.0001272179,0.000078979414,0.0010123291],"study_design_scores_gemma":[0.0000028177258,0.000006389053,0.00012833539,5.2137403e-7,0.0000010867694,9.106575e-7,0.0000019490158,0.9997242,0.000060202678,0.00005871987,0.00001345411,0.0000013546584],"about_ca_topic_score_codex":0.053025607,"about_ca_topic_score_gemma":0.037049226,"teacher_disagreement_score":0.053025607,"about_ca_system_score_codex":0.0016860763,"about_ca_system_score_gemma":0.001221766,"threshold_uncertainty_score":0.10543394},"labels":[],"label_agreement":null},{"id":"W2303312828","doi":"10.14796/jwmm.r227-19","title":"Water Quality Modeling using Fault Tree Method","year":2007,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Water Systems and Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Fault tree analysis; Due diligence; Quality (philosophy); Tree (set theory); Fault (geology); Reliability engineering; Diligence; Computer science; Outbreak; Engineering; Business; Mathematics; Geology; Psychology; Virology; Biology; Seismology; Social psychology","score_opus":0.050436505633538305,"score_gpt":0.2950152630208158,"score_spread":0.24457875738727752,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2303312828","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":[0.011140181,0.00016071413,0.9863501,0.00011723656,0.000022061146,0.000024912113,0.00021767194,0.00027771082,0.0016893104],"genre_scores_gemma":[0.87807006,0.0005232548,0.1154434,0.000066487904,0.00005703937,0.00022986933,0.0005879348,0.00008814645,0.0049338257],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995552,0.00015639405,0.000025654492,0.00007980022,0.00012847569,0.0000545276],"domain_scores_gemma":[0.99907243,0.0005592347,0.00011435209,0.00003768559,0.0001872755,0.000029084087],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007323672,0.00065155164,0.00096497545,0.0010090475,0.00044692308,0.0008131918,0.0011320873,0.0011361175,0.0033433596],"category_scores_gemma":[0.0023241683,0.00035193027,0.00084168505,0.0011367286,0.00039671225,0.0011505772,0.00042358908,0.00069934555,0.00049737963],"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":[0.0000083070945,0.000005238025,0.0002565496,0.000009482721,0.000008780058,0.000016399212,0.000008660911,0.99113125,0.000113573384,0.0027012152,0.00014891842,0.005591608],"study_design_scores_gemma":[9.413293e-7,0.0000020982566,0.000028055412,8.9208476e-7,0.000001224055,0.0000017396518,9.292701e-7,0.9984944,0.000023312474,0.0013546866,0.00009058169,0.0000011047644],"about_ca_topic_score_codex":0.022854486,"about_ca_topic_score_gemma":0.009990845,"teacher_disagreement_score":0.022854486,"about_ca_system_score_codex":0.0008287177,"about_ca_system_score_gemma":0.0008266502,"threshold_uncertainty_score":0.04544288},"labels":[],"label_agreement":null},{"id":"W2303467487","doi":"10.14796/jwmm.r220-13","title":"Collection and Examination of a Municipal Separate Storm Sewer System Database","year":2004,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Urban Stormwater Management Solutions","field":"Environmental Science","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"U.S. Environmental Protection Agency","keywords":"Stormwater; Storm; Watershed; Stormwater management; Center (category theory); Database; Environmental science; Combined sewer; Hydrology (agriculture); Water resource management; Meteorology; Engineering; Geography; Surface runoff; Computer science","score_opus":0.02072665504118064,"score_gpt":0.22268074667054605,"score_spread":0.2019540916293654,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2303467487","genre_codex":"dataset","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":[0.20242018,0.00031763935,0.08135303,0.0013126169,0.00036296734,0.0067734285,0.6124345,0.06785227,0.027173381],"genre_scores_gemma":[0.22983588,0.0002641536,0.10246739,0.00048320374,0.00015039815,0.003353309,0.64079374,0.0046685687,0.017983358],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.99664485,0.00037832157,0.00083139905,0.00056112907,0.0013546549,0.00022958126],"domain_scores_gemma":[0.97610897,0.0039485726,0.002736963,0.0068785264,0.009490747,0.0008363115],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0033081262,0.00088100106,0.00068851386,0.009129104,0.0010068306,0.0024914688,0.0012112625,0.00056237937,0.01521139],"category_scores_gemma":[0.017302915,0.00070859824,0.0006065736,0.0063011423,0.00037610903,0.0017757625,0.0015822554,0.0010767946,0.009123848],"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":[0.0017991945,0.0012762003,0.121877804,0.0014478782,0.0003355483,0.0015264754,0.003740266,0.007842721,0.0572165,0.0063440516,0.41599223,0.38060114],"study_design_scores_gemma":[0.0006334087,0.00063102663,0.20819746,0.00029442777,0.00036609365,0.00072713045,0.0022228253,0.040908653,0.10565093,0.0021110727,0.6379754,0.00028153192],"about_ca_topic_score_codex":0.019371508,"about_ca_topic_score_gemma":0.014465306,"teacher_disagreement_score":0.019371508,"about_ca_system_score_codex":0.001601947,"about_ca_system_score_gemma":0.004848901,"threshold_uncertainty_score":0.050887227},"labels":[],"label_agreement":null},{"id":"W2303548180","doi":"10.14796/jwmm.r246-19","title":"BMP Economics and Sizing","year":2013,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Water resources management and optimization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Sizing; Economics; Environmental science; Chemistry","score_opus":0.007761217877092105,"score_gpt":0.15566557151792956,"score_spread":0.14790435364083745,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2303548180","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":[0.06768938,0.0076412903,0.080714405,0.031232992,0.0003595279,0.00013234797,0.0008877735,0.000098643104,0.81124365],"genre_scores_gemma":[0.8982512,0.008374417,0.0102669615,0.0016970668,0.00043811527,0.000113278074,0.00019848718,0.000076991084,0.08058354],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99918145,0.00023660285,0.000021761722,0.00009605697,0.0003541375,0.00010990145],"domain_scores_gemma":[0.99881244,0.0005889029,0.00012632144,0.00012244357,0.00025567543,0.00009428396],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015946978,0.0004337367,0.00036102982,0.0011107705,0.00055104395,0.0034258186,0.0006459884,0.0014181249,0.016309416],"category_scores_gemma":[0.0051768683,0.00038555235,0.0002970715,0.0011131003,0.0025816446,0.0030681724,0.0009066724,0.0014954425,0.0011979709],"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":[0.00002612284,0.000029090625,0.0008216966,0.000038288425,0.000010127664,0.00003104413,0.000025149991,0.011261507,0.00034088627,0.96127117,0.0048178304,0.021327103],"study_design_scores_gemma":[0.000021892378,0.000038315837,0.002418122,0.00010915979,0.000014974849,0.00013401553,0.000213231,0.022249535,0.0005517352,0.9084185,0.06581659,0.000013823754],"about_ca_topic_score_codex":0.006178714,"about_ca_topic_score_gemma":0.007317221,"teacher_disagreement_score":0.016309416,"about_ca_system_score_codex":0.0039868457,"about_ca_system_score_gemma":0.0023063791,"threshold_uncertainty_score":0.054560423},"labels":[],"label_agreement":null},{"id":"W2303601957","doi":"10.14796/jwmm.r228-19","title":"Evapotranspiration and Related Calculations for Bioretention Devices","year":2008,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Urban Stormwater Management Solutions","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"U.S. Geological Survey; Monash University","keywords":"Bioretention; Evapotranspiration; Environmental science; Biology; Ecology; Stormwater; Surface runoff","score_opus":0.030512549300667397,"score_gpt":0.22628023607110032,"score_spread":0.1957676867704329,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2303601957","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":[0.3965019,0.0008159392,0.5043142,0.0007963998,0.00024429715,0.00044041648,0.009180959,0.0051442194,0.08256175],"genre_scores_gemma":[0.8637342,0.00070622057,0.10722159,0.00012093248,0.00002673272,0.00027186697,0.0025827892,0.00083706435,0.024498636],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99989593,0.000014234,0.000010819449,0.000021149339,0.000044377168,0.000013483012],"domain_scores_gemma":[0.99974877,0.00011103408,0.000027529319,0.000019552175,0.00008414104,0.000008935023],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025186426,0.00041290972,0.0004054035,0.00050102046,0.00048515302,0.0005311263,0.0008300233,0.00069112907,0.0053909537],"category_scores_gemma":[0.0008588453,0.0002807886,0.0005110394,0.0007561871,0.00012167049,0.0007969198,0.00023439247,0.000558266,0.0011084508],"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":[0.00006177947,0.00006618634,0.0059067104,0.00015042929,0.000018862942,0.00015522857,0.00007416046,0.935789,0.009741825,0.0061689983,0.0036412298,0.038225632],"study_design_scores_gemma":[0.00001703328,0.000027789356,0.0020638735,0.000012991511,0.00001181043,0.000043084612,0.00004662499,0.98391324,0.006368513,0.0017771708,0.0057006544,0.000017269456],"about_ca_topic_score_codex":0.014365467,"about_ca_topic_score_gemma":0.019799678,"teacher_disagreement_score":0.014365467,"about_ca_system_score_codex":0.0011426313,"about_ca_system_score_gemma":0.000992389,"threshold_uncertainty_score":0.028563678},"labels":[],"label_agreement":null},{"id":"W2304028661","doi":"10.14796/jwmm.r223-21","title":"A Continuous Simulation Approach for Separate Sewered Areas","year":2005,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Watershed; Scale (ratio); Environmental science; Computer science; Geography; Cartography; Machine learning","score_opus":0.02139067530065484,"score_gpt":0.24903029871438262,"score_spread":0.2276396234137278,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2304028661","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":[0.032878377,0.00014773245,0.94915044,0.00029338614,0.00014443333,0.00020530738,0.0007131493,0.0010214326,0.01544568],"genre_scores_gemma":[0.68982846,0.00030472665,0.28985035,0.0001706023,0.000077807665,0.0010880488,0.001065184,0.00034293733,0.017271854],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99965394,0.00010975039,0.000022490332,0.0000902097,0.00007321857,0.000050464794],"domain_scores_gemma":[0.9989587,0.00057196425,0.0000689838,0.000075142176,0.00024290103,0.000082307764],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00092711416,0.00071245315,0.0009940923,0.0008053734,0.0009739287,0.0018870024,0.0025089846,0.002469169,0.014862854],"category_scores_gemma":[0.0025692766,0.0006673905,0.0011535638,0.0009931078,0.0006911739,0.001235981,0.0012052561,0.0013444205,0.0011458899],"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":[0.000023883036,0.000035694557,0.0003643844,0.000016084487,0.000011518373,0.000038084887,0.000028876355,0.98956686,0.0002463556,0.0054213055,0.00040357205,0.0038434104],"study_design_scores_gemma":[0.0000069455114,0.0000062165063,0.000023408731,0.0000019834406,0.000002869248,0.0000030375609,0.000008855454,0.9981542,0.00006436176,0.0010998286,0.00062572054,0.000002562903],"about_ca_topic_score_codex":0.027804872,"about_ca_topic_score_gemma":0.020843193,"teacher_disagreement_score":0.027804872,"about_ca_system_score_codex":0.0011266693,"about_ca_system_score_gemma":0.0022940277,"threshold_uncertainty_score":0.05528605},"labels":[],"label_agreement":null},{"id":"W2304678330","doi":"10.14796/jwmm.c399","title":"Assessment of Pressure Transients Due to Trapped Air Compression in Rapidly Filling Combined Sewer Overflow Tunnels","year":2016,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Water Systems and Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Compressed air; Compression (physics); Pipeline (software); Geotechnical engineering; Environmental science; Geology; Petroleum engineering; Mechanics; Materials science; Engineering; Composite material; Physics; Mechanical engineering","score_opus":0.011414178489104388,"score_gpt":0.21817238375315226,"score_spread":0.20675820526404787,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2304678330","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":[0.99809927,0.000015800415,0.0015518271,0.000010012962,0.0000022211116,0.000010037534,0.00003825986,0.0000414165,0.00023113137],"genre_scores_gemma":[0.99941385,0.000012098413,0.00044884792,0.0000014858521,6.2224547e-7,0.000005499391,0.00002166731,0.000002245708,0.00009378787],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99983954,0.000035029047,0.000011025847,0.000023395092,0.00005190616,0.00003909133],"domain_scores_gemma":[0.99923694,0.00039481552,0.00012757732,0.000040637886,0.00011288786,0.000087177505],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046142464,0.00027755636,0.00037963782,0.00053081225,0.00029008367,0.0005454713,0.00041298015,0.0006004393,0.0008052215],"category_scores_gemma":[0.0011303794,0.00019111177,0.0002727583,0.00040598013,0.00042211034,0.00047733894,0.0004815065,0.00042228884,0.00005223941],"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":[0.0017840299,0.0006796098,0.072384775,0.00024733937,0.00006421558,0.0020978171,0.0005068352,0.70325273,0.19337545,0.0012926218,0.00040240787,0.02391219],"study_design_scores_gemma":[0.000030359157,0.00085716305,0.027461765,0.000012528517,0.000014664791,0.00011705453,0.0002248389,0.93710196,0.03379286,0.00019832468,0.00015471545,0.000033767883],"about_ca_topic_score_codex":0.002751962,"about_ca_topic_score_gemma":0.0019492909,"teacher_disagreement_score":0.002751962,"about_ca_system_score_codex":0.0003804818,"about_ca_system_score_gemma":0.00043625745,"threshold_uncertainty_score":0.005471885},"labels":[],"label_agreement":null},{"id":"W2304692206","doi":"10.14796/jwmm.r223-06","title":"Modeling Water Demand Considering Impact of Climate Change – a Toronto Case Study","year":2005,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Water resources management and optimization","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Climate change; Environmental science; Process (computing); Water resource management; Environmental resource management; Natural resource economics; Computer science; Economics; Ecology","score_opus":0.029320022892846666,"score_gpt":0.25335428606565946,"score_spread":0.2240342631728128,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2304692206","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":[0.974497,0.00030393765,0.004935334,0.0009158384,0.000019641899,0.000043067215,0.0016908469,0.00009115399,0.017503254],"genre_scores_gemma":[0.9956274,0.00020361412,0.0009934112,0.000018108803,0.0000066281677,0.000015551654,0.00039798985,0.000011462785,0.002725735],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99981683,0.00005071494,0.000007764138,0.000029121195,0.000032898086,0.00006267598],"domain_scores_gemma":[0.9995715,0.0002003264,0.000039096354,0.000020460942,0.00010409918,0.00006443404],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024021855,0.00052508485,0.00031941576,0.00037993828,0.00088511687,0.0009883709,0.0007578448,0.0012238905,0.003207137],"category_scores_gemma":[0.00078003475,0.00033006398,0.00058631424,0.0012556998,0.00052270415,0.0005872362,0.000492744,0.00039302759,0.00016005487],"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":[0.00006921287,0.00003781497,0.0070127915,0.000032318498,0.000024590134,0.00052722887,0.00012520564,0.98468393,0.0006912652,0.0029836283,0.0012933984,0.0025186131],"study_design_scores_gemma":[0.000020969594,0.00003653355,0.0063419323,0.000008586164,0.00002706846,0.000037119244,0.00040366038,0.9900563,0.00042901124,0.0007145041,0.0019060913,0.000018374518],"about_ca_topic_score_codex":0.76214695,"about_ca_topic_score_gemma":0.7460998,"teacher_disagreement_score":0.23785305,"about_ca_system_score_codex":0.011305319,"about_ca_system_score_gemma":0.0032833607,"threshold_uncertainty_score":0.47850758},"labels":[],"label_agreement":null},{"id":"W2304722313","doi":"10.14796/jwmm.r241-06","title":"Measurement of Vertical Temperature Profiles in a Stormwater Detention Pond","year":2011,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Water Quality Monitoring Technologies","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Stormwater; Detention basin; Environmental science; Hydrology (agriculture); Stormwater management; Geology; Surface runoff; Geotechnical engineering; Ecology","score_opus":0.06047710094604706,"score_gpt":0.2350102673580234,"score_spread":0.17453316641197636,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2304722313","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":[0.99713,0.000008870343,0.0016725213,0.000021409242,0.00000758061,0.000010738285,0.0002461625,0.000091347094,0.0008114169],"genre_scores_gemma":[0.9983827,0.000011455023,0.0010056316,0.000008721507,0.0000012949967,0.0000066634057,0.00013683541,0.000005358089,0.0004413137],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99989414,0.000006253057,0.000003406966,0.000029852272,0.000041635612,0.000024732077],"domain_scores_gemma":[0.99984777,0.000029228911,0.00002451155,0.00001610757,0.000043941487,0.000038392074],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001004375,0.0001567816,0.0001890089,0.00018571808,0.00046859085,0.00023768832,0.00028928136,0.00033666333,0.0009050614],"category_scores_gemma":[0.0002644352,0.00019044,0.00017151708,0.000256857,0.00027760188,0.00024158333,0.00027724134,0.00048359958,0.00023421666],"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":[0.000521054,0.0001995758,0.052049767,0.000027188225,0.000016973941,0.00018282834,0.00023545935,0.0012414744,0.937964,0.000123355,0.0003101029,0.0071281884],"study_design_scores_gemma":[0.00009224321,0.0010427838,0.38086542,0.000010620646,0.0000416925,0.0002403488,0.00044591527,0.038245626,0.57721806,0.00019501182,0.0015632445,0.000038940518],"about_ca_topic_score_codex":0.00416592,"about_ca_topic_score_gemma":0.007570757,"teacher_disagreement_score":0.00416592,"about_ca_system_score_codex":0.00028186123,"about_ca_system_score_gemma":0.0003372139,"threshold_uncertainty_score":0.008283317},"labels":[],"label_agreement":null},{"id":"W2304778389","doi":"10.14796/jwmm.r227-20","title":"Stormwater Databases: NURP, USGS, International BMP Database and NSQD","year":2007,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Urban Stormwater Management Solutions","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"University of Alabama","keywords":"Database; Government (linguistics); Business; Computer science","score_opus":0.02647960751322485,"score_gpt":0.25536633288529503,"score_spread":0.2288867253720702,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2304778389","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00039519375,0.00008582005,0.0009332018,0.00017323071,0.00001961942,0.000047423047,0.9880675,0.0026912645,0.0075867],"genre_scores_gemma":[0.0022416005,0.00026070673,0.0028862036,0.00008005921,0.000009893561,0.00016934848,0.991325,0.0006002377,0.0024269295],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99892265,0.00011736332,0.0003124005,0.0001573226,0.0004145321,0.000075713404],"domain_scores_gemma":[0.9968286,0.00050738954,0.0003513281,0.00057343335,0.0015534362,0.00018572765],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001274333,0.0010562863,0.0007743897,0.0071615786,0.0005679492,0.0021574455,0.0023215592,0.0010513123,0.07707639],"category_scores_gemma":[0.007922793,0.0006134365,0.00052440463,0.01658721,0.00025988126,0.0024163267,0.0012140515,0.0008276359,0.04585899],"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":[0.00010658532,0.000032197167,0.0015167852,0.0006929702,0.00003568061,0.000031386,0.000039541377,0.0015569965,0.0002074952,0.0031218028,0.9754812,0.017177295],"study_design_scores_gemma":[0.00015933411,0.000010218348,0.0039934707,0.00021079836,0.000025524865,0.000037685226,0.00011578126,0.002822326,0.0008862788,0.00426434,0.9874402,0.000033901455],"about_ca_topic_score_codex":0.048695926,"about_ca_topic_score_gemma":0.036220904,"teacher_disagreement_score":0.07707639,"about_ca_system_score_codex":0.001566683,"about_ca_system_score_gemma":0.004051695,"threshold_uncertainty_score":0.25784624},"labels":[],"label_agreement":null},{"id":"W2304807244","doi":"10.14796/jwmm.r245-17","title":"Developing Best Estimates for CSO Control Volumes to Meet NPDES Requirements","year":2012,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Control (management); Computer science; Reliability engineering; Engineering; Artificial intelligence","score_opus":0.04237781864459253,"score_gpt":0.2813394045924545,"score_spread":0.23896158594786196,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2304807244","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":[0.04781571,0.0006310944,0.92706203,0.0007258682,0.000104168364,0.00020723368,0.0012911088,0.0017766644,0.020386087],"genre_scores_gemma":[0.5977544,0.00051562284,0.39372995,0.0002047167,0.0000599555,0.0003794761,0.0020724246,0.00044842737,0.0048350547],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99862623,0.0004014952,0.000087983324,0.00022528262,0.000479985,0.00017904217],"domain_scores_gemma":[0.9954602,0.0017578054,0.00037759502,0.0003662283,0.0019416445,0.00009645063],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002270057,0.001661757,0.0010622153,0.0022371504,0.0006991979,0.00255908,0.0013423632,0.0011377969,0.0029873971],"category_scores_gemma":[0.011622345,0.0011279973,0.00072358456,0.0011469884,0.00031541375,0.0027969568,0.0007509335,0.0012037084,0.000938652],"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":[0.000049750106,0.000056465724,0.0038409492,0.00007413493,0.000052989682,0.000044942903,0.000044383905,0.9236826,0.0018130328,0.0040877005,0.0042908587,0.06196221],"study_design_scores_gemma":[0.000015788211,0.000032836615,0.0018100687,0.00005717274,0.000025568183,0.0000221423,0.00010610207,0.9852373,0.0039641475,0.004678796,0.004031921,0.00001812447],"about_ca_topic_score_codex":0.03574895,"about_ca_topic_score_gemma":0.04023936,"teacher_disagreement_score":0.03574895,"about_ca_system_score_codex":0.001938015,"about_ca_system_score_gemma":0.0032659124,"threshold_uncertainty_score":0.07108176},"labels":[],"label_agreement":null},{"id":"W2305003496","doi":"10.14796/jwmm.r223-10","title":"Continuous Surface Runoff, Groundwater and Water Quality Modeling of the C-100 Basin, Miami-Dade County, Florida","year":2005,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Surface runoff; Miami; Hydrology (agriculture); Groundwater; Environmental science; Structural basin; Water quality; Surface water; Geology; Environmental engineering; Geomorphology; Soil science; Geotechnical engineering; Ecology","score_opus":0.018601595868125438,"score_gpt":0.23280417349938,"score_spread":0.21420257763125458,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2305003496","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":[0.9885875,0.00013047337,0.0042246208,0.00036615375,0.000009696748,0.000030537834,0.001166256,0.0000716902,0.0054130796],"genre_scores_gemma":[0.9962113,0.00006902612,0.0016592912,0.000030719908,0.0000052430064,0.000034521636,0.00059347425,0.000008331561,0.0013881427],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99995375,0.000010949101,0.0000012268721,0.000012808196,0.000008214304,0.0000131350625],"domain_scores_gemma":[0.99990416,0.000030300247,0.000009770686,0.0000040441846,0.000029342253,0.0000224229],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011854537,0.0003059049,0.00019385737,0.00029245965,0.00045925486,0.00055515656,0.00060805626,0.0005318535,0.0014638843],"category_scores_gemma":[0.00050872355,0.00019695467,0.00024171929,0.00035548874,0.0002956407,0.00040286177,0.00027681902,0.0002787258,0.00010802896],"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":[0.00008656467,0.00014505678,0.021479875,0.0000221087,0.000042895266,0.00013601336,0.00008489222,0.96449596,0.0013799812,0.0018316315,0.0029134015,0.007381546],"study_design_scores_gemma":[0.000022592298,0.000024320658,0.007938237,0.0000030785166,0.000009813061,0.000008898584,0.000047233643,0.99078006,0.00013559658,0.0002678802,0.0007557408,0.0000065912886],"about_ca_topic_score_codex":0.29591,"about_ca_topic_score_gemma":0.2835194,"teacher_disagreement_score":0.29591,"about_ca_system_score_codex":0.0016760454,"about_ca_system_score_gemma":0.0014628697,"threshold_uncertainty_score":0.5883752},"labels":[],"label_agreement":null},{"id":"W2305119530","doi":"10.14796/jwmm.r225-13","title":"Identification of Significant Factors Affecting Stormwater Quality Using the National Stormwater Quality Database","year":2006,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Urban Stormwater Management Solutions","field":"Environmental Science","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Stormwater; Identification (biology); Environmental science; Quality (philosophy); Database; Computer science; Surface runoff","score_opus":0.08176606035953794,"score_gpt":0.31447487816531533,"score_spread":0.2327088178057774,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2305119530","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":[0.8968678,0.0001273288,0.020786997,0.00027092767,0.000018782664,0.00032576532,0.07667095,0.0004698914,0.0044615106],"genre_scores_gemma":[0.8587707,0.00017304582,0.023323921,0.00005070449,0.000012361609,0.00022339313,0.11592239,0.000028260001,0.0014951515],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992737,0.00008279182,0.00016069938,0.00018036309,0.00022806684,0.0000742845],"domain_scores_gemma":[0.9980552,0.0005256778,0.0004621004,0.00022482446,0.000632112,0.00010008764],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010575041,0.00027592262,0.0005312364,0.0029035334,0.00026994201,0.00083292584,0.00035507267,0.00027656104,0.0017615367],"category_scores_gemma":[0.0032797658,0.00014944287,0.00048581552,0.0022189377,0.0000718713,0.00056142575,0.00040308633,0.00024300686,0.0007771564],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016875031,0.00018363114,0.9370917,0.00006906319,0.00011161792,0.00007024746,0.0000862815,0.0046277335,0.002610423,0.0003198337,0.0052446825,0.049416058],"study_design_scores_gemma":[0.000021108817,0.000085168474,0.95283717,0.000015220201,0.000059231184,0.00008678799,0.00020015193,0.03854313,0.0028172364,0.00027314303,0.005038578,0.00002301384],"about_ca_topic_score_codex":0.03792493,"about_ca_topic_score_gemma":0.040598396,"teacher_disagreement_score":0.03792493,"about_ca_system_score_codex":0.00065806904,"about_ca_system_score_gemma":0.0013206915,"threshold_uncertainty_score":0.0754084},"labels":[],"label_agreement":null},{"id":"W2305259007","doi":"10.14796/jwmm.r220-12","title":"Simulation of Urban Wet Weather Best Management Practices at the Watershed Scale","year":2004,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Land Use and Ecosystem Services","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Environmental science; Watershed; Scale (ratio); Weather modification; Hydrology (agriculture); Meteorology; Water resource management; Computer science; Geography; Engineering; Cartography; Geotechnical engineering","score_opus":0.02026646937574068,"score_gpt":0.23966859787465888,"score_spread":0.21940212849891821,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2305259007","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":[0.9600265,0.000058457215,0.026659224,0.00034194952,0.000057460762,0.000077054545,0.0012206995,0.00033968763,0.011218938],"genre_scores_gemma":[0.9874255,0.000050997947,0.01021476,0.00003466708,0.000007984964,0.000051294362,0.00067899417,0.000036163718,0.0014996387],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998097,0.0000588534,0.000009961181,0.000036707064,0.000028570048,0.000056138113],"domain_scores_gemma":[0.99897563,0.0005655858,0.00010635174,0.00007402376,0.00015436088,0.00012411339],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046946426,0.00043516842,0.0005233712,0.0005036365,0.0005166799,0.0009843488,0.0009818985,0.0009796568,0.0040020966],"category_scores_gemma":[0.0016620331,0.00036397035,0.0004884793,0.0008490276,0.00049217907,0.00072424236,0.00056404644,0.0007615624,0.00021805779],"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":[0.000022246968,0.00005953989,0.001762028,0.000005083844,0.000008115309,0.000015327521,0.000018216799,0.99641466,0.00015998931,0.0005489798,0.00017973696,0.0008061173],"study_design_scores_gemma":[0.000011590985,0.000013605089,0.00045410954,9.101256e-7,0.0000026899659,0.0000021479254,0.000029395766,0.9988697,0.00015611788,0.00032706067,0.00012950454,0.0000030854085],"about_ca_topic_score_codex":0.052053247,"about_ca_topic_score_gemma":0.051039524,"teacher_disagreement_score":0.052053247,"about_ca_system_score_codex":0.001366671,"about_ca_system_score_gemma":0.0013323297,"threshold_uncertainty_score":0.103500545},"labels":[],"label_agreement":null},{"id":"W2305459319","doi":"10.14796/jwmm.r227-04","title":"Using Decision Analyses to Select an Urban Runoff Control Program","year":2007,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Water Quality and Resources Studies","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Tennessee Valley Authority","keywords":"Surface runoff; Urban runoff; Computer science; Environmental science; Control (management); Environmental planning; Artificial intelligence; Stormwater; Biology; Ecology","score_opus":0.13773114444926335,"score_gpt":0.35962126108326326,"score_spread":0.2218901166339999,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2305459319","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":[0.09687134,0.0003643368,0.8743918,0.00097364245,0.00005440354,0.0020286452,0.00035647562,0.0007402428,0.024219086],"genre_scores_gemma":[0.41994488,0.00037018894,0.5753612,0.00021608268,0.000039114046,0.0010918534,0.0004909944,0.000107087944,0.0023785864],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9962075,0.0023721782,0.00015883936,0.0002349366,0.0007590872,0.00026735204],"domain_scores_gemma":[0.9950658,0.0034368255,0.00037807244,0.00012849749,0.0007854748,0.00020525421],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0051985607,0.0010273292,0.00089126936,0.003969556,0.00077296386,0.0019497947,0.0006990566,0.00061784865,0.005753058],"category_scores_gemma":[0.009518457,0.00037318532,0.0006431187,0.0017686859,0.00052073813,0.001058975,0.00070138223,0.00090821314,0.00045576488],"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":[0.0006180396,0.0006860364,0.006871922,0.00046998495,0.0002618376,0.000336585,0.0002204803,0.5730003,0.0039839563,0.0530315,0.0066553485,0.35386404],"study_design_scores_gemma":[0.00037052957,0.0006442816,0.0024052795,0.00017419385,0.00018089074,0.0000939294,0.00040405968,0.92285967,0.0053410274,0.054902587,0.012548298,0.0000752102],"about_ca_topic_score_codex":0.0028122144,"about_ca_topic_score_gemma":0.004988625,"teacher_disagreement_score":0.005753058,"about_ca_system_score_codex":0.0016633858,"about_ca_system_score_gemma":0.0036134403,"threshold_uncertainty_score":0.02749288},"labels":[],"label_agreement":null},{"id":"W2305533022","doi":"10.14796/jwmm.r220-33","title":"Drinking Water Quality and Techniques for Recharging an Urban Water System - for the industrial city of Baroda, India","year":2004,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Water resources management and optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Environmental science; Industrial city; Water quality; Quality (philosophy); Water resource management; Environmental engineering; Waste management; Environmental planning; Engineering; Industrial zone","score_opus":0.051922855698229825,"score_gpt":0.24983643724301755,"score_spread":0.19791358154478772,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2305533022","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":[0.26538494,0.0044273334,0.6883089,0.0011460737,0.00011537539,0.0002499513,0.0003785373,0.000508296,0.039480526],"genre_scores_gemma":[0.94764096,0.0025300367,0.042038366,0.000027804632,0.000011456611,0.00006134121,0.000103632774,0.000023375362,0.0075630504],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99988556,0.00002763663,0.000005411833,0.000016625641,0.000048883096,0.000015903075],"domain_scores_gemma":[0.9999454,0.000015851076,0.000009456439,0.0000068569448,0.000019378685,0.0000030669196],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017334652,0.00024693037,0.0001329078,0.00022839147,0.00021905114,0.0005849244,0.0003271614,0.00020481249,0.00096373557],"category_scores_gemma":[0.00028364745,0.00014922245,0.00026894014,0.00054912054,0.00024069173,0.0003243777,0.0002847915,0.0002103872,0.00018504234],"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":[0.00014804519,0.00016464134,0.015698198,0.00054563564,0.000050473707,0.0001375807,0.00022562275,0.59736556,0.05407605,0.02068252,0.0027433708,0.30816227],"study_design_scores_gemma":[0.000031565796,0.0003497931,0.019941894,0.000045501496,0.00007221143,0.00015545958,0.00043435808,0.9158849,0.032736998,0.010875115,0.019438703,0.00003358905],"about_ca_topic_score_codex":0.007956393,"about_ca_topic_score_gemma":0.012721719,"teacher_disagreement_score":0.007956393,"about_ca_system_score_codex":0.00053280866,"about_ca_system_score_gemma":0.00053629477,"threshold_uncertainty_score":0.015820146},"labels":[],"label_agreement":null},{"id":"W2305653498","doi":"10.14796/jwmm.r236-09","title":"Impervious Cover Variability in Urban Watersheds","year":2010,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Urban Stormwater Management Solutions","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"U.S. Department of Agriculture","keywords":"Impervious surface; Cover (algebra); Environmental science; Hydrology (agriculture); Geography; Geology; Engineering; Geotechnical engineering; Ecology; Biology","score_opus":0.009342503234705717,"score_gpt":0.20528145706443685,"score_spread":0.19593895382973112,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2305653498","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":[0.99919623,0.0000102261765,0.00037111132,0.0000049437026,3.0224612e-7,0.0000026841406,0.000112621536,0.0000111230975,0.00029072954],"genre_scores_gemma":[0.99954456,0.000010489505,0.00017230074,0.000001323599,4.9192556e-7,0.0000037134387,0.00016206715,0.0000027586593,0.00010229659],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99990714,0.000018574125,0.000004255438,0.000023280025,0.00001915507,0.000027542268],"domain_scores_gemma":[0.9997141,0.00012991164,0.00006334383,0.000023036899,0.00004580019,0.00002383029],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017162226,0.00013396001,0.00013217903,0.00076996145,0.00020713778,0.0004886525,0.00014812802,0.00014624068,0.00067814527],"category_scores_gemma":[0.0007508547,0.00012758448,0.00015369263,0.0008352618,0.00017444733,0.00026678675,0.0002716149,0.00008461305,0.00010422287],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000099050325,0.00010928119,0.9178875,0.000018558223,0.000045461948,0.0001326321,0.0006021558,0.06522074,0.0049695396,0.00050348096,0.00025299587,0.010158542],"study_design_scores_gemma":[0.0000020712512,0.000025795473,0.94114184,0.000003710085,0.00001027726,0.00004796898,0.00039336868,0.057219855,0.0005986107,0.00022455235,0.00032509558,0.0000067845026],"about_ca_topic_score_codex":0.015043293,"about_ca_topic_score_gemma":0.019211708,"teacher_disagreement_score":0.015043293,"about_ca_system_score_codex":0.00039617333,"about_ca_system_score_gemma":0.00017055651,"threshold_uncertainty_score":0.029911458},"labels":[],"label_agreement":null},{"id":"W2305824475","doi":"10.14796/jwmm.r245-21","title":"An Improved Water Distribution System Chlorine Decay Model Using EPANET MSX","year":2012,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Water Systems and Optimization","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Chlorine; Residual; Water quality; Water model; Environmental science; Computer science; Chemistry; Algorithm; Computational chemistry","score_opus":0.01805544174443297,"score_gpt":0.21139825052067657,"score_spread":0.1933428087762436,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2305824475","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":[0.23965436,0.00032083562,0.6584317,0.0008623229,0.0003082805,0.0004307291,0.01041588,0.015537824,0.074038036],"genre_scores_gemma":[0.84487724,0.00022987745,0.119190305,0.00017392254,0.00004193204,0.0003896997,0.0035128843,0.00063913333,0.030945066],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999871,0.0000245692,0.0000057001325,0.000026712074,0.000054120253,0.000017861472],"domain_scores_gemma":[0.9998091,0.000043836575,0.000015395804,0.000019667792,0.00009676858,0.000015330606],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028251606,0.0005677135,0.0006886753,0.00032723657,0.00048390697,0.0007119129,0.0013012425,0.00075653085,0.0070569557],"category_scores_gemma":[0.00061865913,0.00037418836,0.000653585,0.0004338585,0.00021693173,0.0008232013,0.00048095395,0.0008484675,0.00095117034],"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":[0.000037632515,0.00003064361,0.0006573795,0.000024137442,0.000011620036,0.000026440333,0.000010503827,0.98877865,0.0014014208,0.0016640038,0.0018453005,0.0055122394],"study_design_scores_gemma":[0.000013534382,0.0000097905995,0.00012518158,0.0000016100142,0.0000040601594,0.000004016188,0.0000022726203,0.99767894,0.0005076819,0.00024181792,0.0014073062,0.0000039148226],"about_ca_topic_score_codex":0.05144152,"about_ca_topic_score_gemma":0.03147698,"teacher_disagreement_score":0.05144152,"about_ca_system_score_codex":0.0011531031,"about_ca_system_score_gemma":0.0020664986,"threshold_uncertainty_score":0.10228419},"labels":[],"label_agreement":null},{"id":"W2305980311","doi":"10.14796/jwmm.r220-31","title":"Thermal Enrichment by Stormwater: Review for the Development of a Suitable Model","year":2004,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Hydraulic flow and structures","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Stormwater; Surface runoff; Stormwater management; Environmental science; Environmental planning; Hydrology (agriculture); Water resource management; Environmental engineering; Civil engineering; Engineering; Geotechnical engineering; Ecology","score_opus":0.01477418160288628,"score_gpt":0.2230235530382533,"score_spread":0.20824937143536704,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2305980311","genre_codex":"methods","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0065651103,0.43928418,0.52812654,0.0028962714,0.0018792142,0.0002283083,0.0013507516,0.00096291676,0.018706627],"genre_scores_gemma":[0.044376284,0.7659008,0.16992334,0.00078879704,0.001242053,0.0006337649,0.0017802707,0.00046915558,0.0148856025],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99982953,0.00003296691,0.000026936128,0.000030504707,0.00006833502,0.000011753032],"domain_scores_gemma":[0.9997056,0.0001364512,0.000030155872,0.000020261765,0.000096369484,0.0000111241525],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00068241084,0.0011387017,0.0016904281,0.0009964149,0.0003671152,0.0010770188,0.0019377465,0.0015614518,0.0040346077],"category_scores_gemma":[0.0009897834,0.000639192,0.0014455891,0.0017620986,0.00048127567,0.0021644682,0.0007673213,0.0013251089,0.0037883841],"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":[0.00010589403,0.00016645937,0.0012204769,0.011978934,0.00022363017,0.000382681,0.00013496088,0.26177865,0.011827297,0.101628155,0.030749355,0.57980347],"study_design_scores_gemma":[0.000047009788,0.00024377558,0.00087333116,0.00255133,0.0002790325,0.00045789813,0.000099525125,0.23399894,0.011144225,0.048150625,0.7020048,0.00014944724],"about_ca_topic_score_codex":0.0035141993,"about_ca_topic_score_gemma":0.0032651376,"teacher_disagreement_score":0.0040346077,"about_ca_system_score_codex":0.0007554582,"about_ca_system_score_gemma":0.0013468664,"threshold_uncertainty_score":0.013497114},"labels":[],"label_agreement":null},{"id":"W2306571391","doi":"10.14796/jwmm.r228-12","title":"Extrapolation of Available Monitoring Data to Facilitate Long-Term Continuous Simulation Modeling","year":2008,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Extrapolation; Combined sewer; Sanitary sewer; Term (time); Plan (archaeology); Control (management); Computer science; Environmental science; Environmental engineering; Geography; Archaeology; Mathematics; Artificial intelligence; Statistics; Stormwater","score_opus":0.16355558039359444,"score_gpt":0.2808104555527117,"score_spread":0.11725487515911728,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2306571391","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":[0.5550049,0.0003396968,0.3868299,0.00055378105,0.00026503502,0.000497523,0.017535096,0.0061269775,0.032847147],"genre_scores_gemma":[0.94569564,0.00015940641,0.04456622,0.000048370035,0.000016724065,0.00028123503,0.0064836973,0.00016435204,0.002584367],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996723,0.00011758465,0.00003164105,0.00007565578,0.000074040494,0.000028748249],"domain_scores_gemma":[0.99820817,0.0007753498,0.00013761154,0.00035836513,0.00046582517,0.000054722328],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013863193,0.0005798471,0.0003988658,0.0006392325,0.0003341967,0.0007959536,0.00087793113,0.00063749467,0.003108147],"category_scores_gemma":[0.0043202597,0.00035178335,0.0007135311,0.0008535873,0.00014326602,0.0011564482,0.00039068208,0.0010098905,0.00076098635],"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":[0.00006846356,0.00016638257,0.011593154,0.00006125731,0.000047757858,0.00005754608,0.000049799182,0.9622803,0.0015415308,0.0014107965,0.0018919077,0.0208311],"study_design_scores_gemma":[0.00001731631,0.000036608493,0.0044080964,0.0000170019,0.00001668164,0.000012811157,0.000017178163,0.99117273,0.0013913623,0.0008344532,0.0020621023,0.0000136980025],"about_ca_topic_score_codex":0.03383201,"about_ca_topic_score_gemma":0.02190095,"teacher_disagreement_score":0.03383201,"about_ca_system_score_codex":0.0008418799,"about_ca_system_score_gemma":0.000797121,"threshold_uncertainty_score":0.06727016},"labels":[],"label_agreement":null},{"id":"W2306838452","doi":"10.14796/jwmm.r241-10","title":"Online Monitoring of Combined Sewer Systems: Experiences and Application in Modeling","year":2011,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Urban Stormwater Management Solutions","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Combined sewer; Computer science; Sanitary sewer; Systems engineering; Environmental science; Pollutant; System dynamics; Civil engineering; Construction engineering; Engineering; Environmental engineering; Stormwater; Surface runoff","score_opus":0.03632692494034208,"score_gpt":0.23191821510668378,"score_spread":0.1955912901663417,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2306838452","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":[0.9508959,0.00020318748,0.044891637,0.00014912312,0.000018052291,0.000049881448,0.00018246361,0.0006150212,0.0029947313],"genre_scores_gemma":[0.98887014,0.00010994786,0.009769747,0.000010852676,0.000007934794,0.000017298851,0.00008709145,0.000039181625,0.0010878011],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995198,0.00017701057,0.000018763945,0.00010153953,0.00014443492,0.000038536014],"domain_scores_gemma":[0.9980848,0.0012581988,0.00007348032,0.00023030181,0.0002680329,0.00008509027],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00069454935,0.00081317715,0.000707127,0.0003497542,0.00053338415,0.00087540306,0.0010979081,0.001447526,0.001393483],"category_scores_gemma":[0.0018772939,0.00036470668,0.00044897464,0.0005595178,0.00045901528,0.0016627247,0.0005541143,0.0007531845,0.00020349157],"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":[0.001534552,0.0039625713,0.04714385,0.0003748838,0.00019069569,0.00082975486,0.0021872912,0.59511775,0.06990766,0.001912139,0.0029874824,0.27385134],"study_design_scores_gemma":[0.000050054183,0.0005041577,0.009121611,0.000009152696,0.000041430416,0.000076093995,0.00025005432,0.96645534,0.021391185,0.0007705924,0.001298449,0.000031895303],"about_ca_topic_score_codex":0.01116748,"about_ca_topic_score_gemma":0.0106296,"teacher_disagreement_score":0.01116748,"about_ca_system_score_codex":0.00051463593,"about_ca_system_score_gemma":0.00036428694,"threshold_uncertainty_score":0.022204936},"labels":[],"label_agreement":null},{"id":"W2306885349","doi":"10.14796/jwmm.r223-08","title":"Flow Needs for City of Detroit Customers through 2050","year":2005,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Water resources management and optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Flow (mathematics); Business; Mechanics","score_opus":0.018006327670391373,"score_gpt":0.2115829861520059,"score_spread":0.19357665848161454,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2306885349","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":[0.96807075,0.00015999754,0.0011455131,0.0015590608,0.000013286271,0.00008482418,0.0117788,0.00014942054,0.017038295],"genre_scores_gemma":[0.96275526,0.00034506596,0.0031708763,0.00037036595,0.000011922926,0.00019705943,0.016381655,0.000030968924,0.016736839],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99982184,0.000025503634,0.00001045452,0.00002546193,0.00006605267,0.00005072008],"domain_scores_gemma":[0.9996792,0.000047961094,0.000034675228,0.000008339812,0.00017637148,0.00005346295],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035383002,0.00024585985,0.00018462271,0.00067037443,0.0005364167,0.0007950466,0.00037864764,0.0005391257,0.0056097894],"category_scores_gemma":[0.0007977848,0.00020776976,0.000272014,0.00076835626,0.00009448874,0.0006603546,0.00043937255,0.00025033136,0.00069861143],"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":[0.0017652519,0.00066263706,0.61093485,0.0005479155,0.00017981457,0.0025012884,0.0029351884,0.08231513,0.01720984,0.0063531348,0.12062676,0.15396817],"study_design_scores_gemma":[0.00008807712,0.0005203912,0.77048373,0.00011002974,0.00013166614,0.00061268324,0.0071087074,0.13777682,0.008159331,0.0014154513,0.07345828,0.0001347858],"about_ca_topic_score_codex":0.24534786,"about_ca_topic_score_gemma":0.4625769,"teacher_disagreement_score":0.24534786,"about_ca_system_score_codex":0.0036055672,"about_ca_system_score_gemma":0.0023331693,"threshold_uncertainty_score":0.48783952},"labels":[],"label_agreement":null},{"id":"W2306897543","doi":"10.14796/jwmm.r235-15","title":"Flow Regime Transition and Air Entrapment in Combined Sewer Storage Tunnels","year":2009,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Hydraulic flow and structures","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Fundação de Empreendimentos Científicos e Tecnológicos; Conselho Nacional de Desenvolvimento Científico e Tecnológico","keywords":"Flow (mathematics); Entrapment; Stormwater; Environmental science; Airflow; Stormwater management; Geotechnical engineering; Mechanics; Geology; Engineering; Surface runoff; Mechanical engineering; Physics; Law","score_opus":0.005493824358607507,"score_gpt":0.180956879417905,"score_spread":0.1754630550592975,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2306897543","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":[0.99964345,0.000009714526,0.0002005308,0.000004361547,0.0000011499031,0.0000021802025,0.000019052852,0.000015117031,0.00010437876],"genre_scores_gemma":[0.9997708,0.000004974148,0.00009403044,0.0000011427379,4.882498e-7,0.0000020856749,0.000020059548,0.000002338832,0.00010418758],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99992764,0.0000093806075,0.000004100378,0.000017694429,0.000010933007,0.00003031888],"domain_scores_gemma":[0.9996581,0.000077930395,0.000080627615,0.000023001385,0.000053400727,0.00010689882],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001836257,0.00012311978,0.00028687104,0.0005656802,0.00036909248,0.0005033274,0.000256419,0.00038359337,0.0009497961],"category_scores_gemma":[0.00048323558,0.00023750118,0.0002292856,0.00026333897,0.00046508005,0.00038982174,0.00041359814,0.0003336326,0.000088791385],"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":[0.0044356557,0.00091187586,0.13130945,0.00008081342,0.0000793504,0.0011276153,0.00050854264,0.07144858,0.7749128,0.0014233075,0.00049292087,0.013269121],"study_design_scores_gemma":[0.00033740824,0.0011882904,0.3480966,0.000030232546,0.000040614,0.00030319122,0.00064822246,0.5579789,0.09015943,0.0005662543,0.00055948494,0.000091261834],"about_ca_topic_score_codex":0.00541004,"about_ca_topic_score_gemma":0.0054215435,"teacher_disagreement_score":0.00541004,"about_ca_system_score_codex":0.00051726116,"about_ca_system_score_gemma":0.0003935966,"threshold_uncertainty_score":0.010757089},"labels":[],"label_agreement":null},{"id":"W2307140105","doi":"10.14796/jwmm.c401","title":"High Resolution Flash Flood Forecasting for the Dallas-Fort Worth Metroplex","year":2016,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Precipitation Measurement and Analysis","field":"Earth and Planetary Sciences","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"University of Massachusetts Amherst; National Science Foundation","keywords":"Flash flood; Flooding (psychology); Flood myth; Environmental science; Hydrology (agriculture); Meteorology; Flash (photography); Precipitation; National weather service; Warning system; Water resource management; Geography; Engineering; Telecommunications; Archaeology; Geotechnical engineering","score_opus":0.05680418924359363,"score_gpt":0.2179181950539312,"score_spread":0.16111400581033758,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2307140105","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":[0.99685186,0.000032824748,0.0012473369,0.0002279528,0.000008721198,0.000014463599,0.00047267028,0.00020390771,0.00094031706],"genre_scores_gemma":[0.99717146,0.00002249363,0.0017624466,0.00000921347,0.0000043954938,0.00000789804,0.00058197917,0.0000071457175,0.00043302152],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99994457,0.000011234889,0.0000029904825,0.000015386104,0.000012643199,0.000013166282],"domain_scores_gemma":[0.999881,0.000029606748,0.000018286537,0.00001539342,0.000024127641,0.000031606516],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018755655,0.0003368802,0.00023477247,0.00021554274,0.00034997318,0.0004090729,0.00039649298,0.0003719672,0.0008247544],"category_scores_gemma":[0.0005337971,0.00012782571,0.0001627437,0.00031250855,0.00015129361,0.000407185,0.0002748202,0.00029443088,0.000103705075],"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":[0.0007662967,0.0003588708,0.11997413,0.000049975253,0.00007950952,0.001242607,0.00020669117,0.8146991,0.014805272,0.0010515574,0.007938618,0.03882738],"study_design_scores_gemma":[0.000036712925,0.000052937496,0.016990447,0.0000023196642,0.000006503501,0.000016807873,0.00007935273,0.9812521,0.0009055178,0.00008882669,0.0005604011,0.000008087257],"about_ca_topic_score_codex":0.11828985,"about_ca_topic_score_gemma":0.12553456,"teacher_disagreement_score":0.11828985,"about_ca_system_score_codex":0.0009289742,"about_ca_system_score_gemma":0.0007131045,"threshold_uncertainty_score":0.23520267},"labels":[],"label_agreement":null},{"id":"W2307576325","doi":"10.14796/jwmm.r215-13","title":"Stormwater Quality Modeling Improvements Needed for SWMM","year":2003,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Water Quality and Resources Studies","field":"Environmental Science","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Storm Water Management Model; Stormwater management; Stormwater; Environmental science; Computer science; Surface runoff; Civil engineering; Engineering","score_opus":0.09233236933715927,"score_gpt":0.2755767095096828,"score_spread":0.18324434017252356,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2307576325","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":[0.051530503,0.0011839559,0.8619656,0.0124854585,0.0019869744,0.00045897564,0.012292148,0.029286204,0.028810067],"genre_scores_gemma":[0.21542947,0.0021748794,0.74803644,0.0012959017,0.0007072229,0.00046059454,0.018131416,0.0036855873,0.010078459],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986274,0.0003438687,0.00014799289,0.00018185357,0.00056435063,0.0001345287],"domain_scores_gemma":[0.9948213,0.0005134566,0.0001691741,0.0010052361,0.0033072813,0.00018340118],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0034810994,0.001140921,0.0009370463,0.00068085926,0.0007868118,0.0016209548,0.0021654468,0.0009623707,0.007868885],"category_scores_gemma":[0.009451875,0.0008636387,0.0018101903,0.0012046541,0.00022965555,0.0034957742,0.0013804638,0.002371982,0.0036441353],"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":[0.00022351182,0.000302711,0.012222129,0.00036646548,0.00019369418,0.00016287586,0.00022845923,0.5980977,0.013485251,0.019197354,0.07124616,0.28427365],"study_design_scores_gemma":[0.00012184676,0.00009093964,0.0047652964,0.00014340375,0.0001350886,0.00009807166,0.00011679576,0.7909569,0.00813882,0.0085974345,0.1867459,0.00008945328],"about_ca_topic_score_codex":0.039640818,"about_ca_topic_score_gemma":0.03162215,"teacher_disagreement_score":0.039640818,"about_ca_system_score_codex":0.0015991635,"about_ca_system_score_gemma":0.0029433402,"threshold_uncertainty_score":0.07882017},"labels":[],"label_agreement":null},{"id":"W2307707113","doi":"10.14796/jwmm.r207-25","title":"Validating the Rain-Runoff Kernel Function in RUNOFF against Laboratory Experiment - including super-critical laminar flows","year":2001,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Hydraulic flow and structures","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Surface runoff; Kernel (algebra); Laminar flow; Environmental science; Runoff curve number; Hydrology (agriculture); Function (biology); Runoff model; Computer science; Geology; Mathematics; Engineering; Geotechnical engineering; Ecology; Biology; Aerospace engineering","score_opus":0.018613590354629984,"score_gpt":0.24334227735697386,"score_spread":0.22472868700234389,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2307707113","genre_codex":"empirical","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":[0.9463412,0.000032492273,0.05221189,0.000038623966,0.000011223098,0.000059354505,0.000118008116,0.0005891559,0.0005981327],"genre_scores_gemma":[0.9889548,0.000022689905,0.010645389,0.0000059551166,0.0000016506997,0.00004146277,0.00009722379,0.000027260156,0.00020359526],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99961,0.00008014758,0.000032307657,0.000069116126,0.0001517389,0.000056730212],"domain_scores_gemma":[0.99860793,0.0005962729,0.00011691754,0.00024464855,0.00038832796,0.000045914294],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013728654,0.00032275022,0.00036662628,0.0003110043,0.0003128767,0.00037304236,0.000646446,0.00039998733,0.00073939114],"category_scores_gemma":[0.0035028427,0.00012143566,0.0002194814,0.0003807353,0.0004152554,0.0005037714,0.00044107926,0.00040214046,0.00018541023],"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":[0.0007749045,0.0011129192,0.022911951,0.00021893797,0.000043653567,0.0001687697,0.00024586613,0.5726013,0.34839112,0.0025743328,0.0007632415,0.050192997],"study_design_scores_gemma":[0.0000632554,0.00047425178,0.009678791,0.00001337003,0.000012777083,0.00003894682,0.000056311295,0.66047776,0.32819134,0.0003848542,0.0005840806,0.000024218585],"about_ca_topic_score_codex":0.00379109,"about_ca_topic_score_gemma":0.0030866517,"teacher_disagreement_score":0.00379109,"about_ca_system_score_codex":0.0006772685,"about_ca_system_score_gemma":0.0007395969,"threshold_uncertainty_score":0.00753808},"labels":[],"label_agreement":null},{"id":"W2307735507","doi":"10.14796/jwmm.r207-22","title":"An Approach to Modeling Real-Time Control of Dynamic and Static Radial and Sluice Gates within EXTRAN","year":2001,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Hydraulic flow and structures","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"University of Guelph","keywords":"Sluice; Computer science; Control (management); Control theory (sociology); Artificial intelligence; Geography","score_opus":0.006764557965305987,"score_gpt":0.2032285336841001,"score_spread":0.19646397571879412,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2307735507","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":[0.013865636,0.00005388923,0.9782111,0.000046816334,0.000032170723,0.00005222705,0.0000766845,0.000774376,0.0068870946],"genre_scores_gemma":[0.38039118,0.00022252147,0.605966,0.000068669186,0.000032831467,0.00027302044,0.00024319037,0.0004500389,0.012352589],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996896,0.000042690728,0.000016610275,0.00007049286,0.00015252181,0.000028199469],"domain_scores_gemma":[0.9997702,0.00007427478,0.000033819186,0.000049202405,0.0000631053,0.000009373586],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00047148485,0.0005554826,0.00045232748,0.00025850034,0.00038984537,0.00077369454,0.001502043,0.00061763875,0.0035820995],"category_scores_gemma":[0.00065410224,0.00047953214,0.0008042342,0.00019398367,0.0006607157,0.0011143459,0.000730557,0.0010359895,0.00038087633],"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":[0.000057367306,0.000036534042,0.00054848363,0.00011261447,0.000019356103,0.000085257634,0.00018077169,0.9125655,0.013149616,0.043260623,0.0006906039,0.029293146],"study_design_scores_gemma":[0.0000066910375,0.0000137803945,0.000088350134,0.0000075116445,0.000005577551,0.000016990374,0.0000067696055,0.98858625,0.0031728612,0.0022523226,0.005838268,0.0000045856323],"about_ca_topic_score_codex":0.005685702,"about_ca_topic_score_gemma":0.008107845,"teacher_disagreement_score":0.005685702,"about_ca_system_score_codex":0.0008189885,"about_ca_system_score_gemma":0.0010421497,"threshold_uncertainty_score":0.011983275},"labels":[],"label_agreement":null},{"id":"W2308023823","doi":"10.14796/jwmm.r241-07","title":"Continuous Long Term Simulations for Evaluating Storage Treatment Design Options of Stormwater Filters","year":2011,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Urban Stormwater Management Solutions","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Term (time); Stormwater; Stormwater management; Environmental science; Computer science; Risk analysis (engineering); Business; Surface runoff; Physics","score_opus":0.12752108306504226,"score_gpt":0.29170993139530516,"score_spread":0.1641888483302629,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2308023823","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":[0.95606434,0.00033839475,0.02199486,0.00040675703,0.00011866432,0.00023656721,0.00271719,0.00022783538,0.017895374],"genre_scores_gemma":[0.98940325,0.000105066785,0.006640768,0.0000511114,0.000008098174,0.00024564491,0.00078993844,0.00003374567,0.0027222638],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997334,0.000068782974,0.000014761824,0.000039076185,0.000051618157,0.000092343704],"domain_scores_gemma":[0.996461,0.0023008739,0.0002173666,0.0001276405,0.0006801688,0.00021295508],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010921895,0.00089293753,0.00090421713,0.0006695425,0.000771613,0.0011695103,0.0014307186,0.0019845483,0.006757652],"category_scores_gemma":[0.0043417225,0.0005283351,0.0009261871,0.00052311213,0.0005222549,0.0009554401,0.00062875374,0.0016760422,0.000399499],"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":[0.00008898402,0.00009444536,0.0013162981,0.000025936113,0.000011418787,0.000030060608,0.00001857097,0.99573517,0.00051039597,0.0006417533,0.00035032377,0.0011765903],"study_design_scores_gemma":[0.000029195535,0.00007889405,0.00033765394,0.000005588947,0.00001012208,0.0000029542202,0.000028638733,0.9985403,0.00046916553,0.00023329725,0.00025856303,0.000005773782],"about_ca_topic_score_codex":0.035981577,"about_ca_topic_score_gemma":0.025464645,"teacher_disagreement_score":0.035981577,"about_ca_system_score_codex":0.0019328826,"about_ca_system_score_gemma":0.0014991094,"threshold_uncertainty_score":0.07154423},"labels":[],"label_agreement":null},{"id":"W2308184281","doi":"10.14796/jwmm.r241-05","title":"Comparison of CFD with Reservoir Routing Model Predictions for Stormwater Ponds","year":2011,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Hydraulic flow and structures","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Stormwater; Outflow; Routing (electronic design automation); Environmental science; Hydrology (agriculture); Computational fluid dynamics; Surface runoff; Geology; Geotechnical engineering; Engineering; Computer science; Computer network; Oceanography; Ecology","score_opus":0.04705505789907427,"score_gpt":0.2565596116034359,"score_spread":0.2095045537043616,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2308184281","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":[0.8773078,0.00047071857,0.07351963,0.000676369,0.00036773193,0.000111227666,0.0029326326,0.004014482,0.04059953],"genre_scores_gemma":[0.98949933,0.00014282664,0.0070629907,0.000033524175,0.00001292074,0.0000252091,0.0008668307,0.0001636663,0.0021926896],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999622,0.000062904706,0.000029302906,0.00006611711,0.00016036676,0.000059308717],"domain_scores_gemma":[0.9986399,0.0005821019,0.00006632401,0.00015595651,0.00050302595,0.000052729203],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00053461106,0.00053795584,0.00070103136,0.0007457781,0.0005681812,0.0010187455,0.000720813,0.0008210173,0.0040061036],"category_scores_gemma":[0.0021608286,0.00037296963,0.000663158,0.0007388002,0.00041292346,0.0010094412,0.00036089803,0.0005113539,0.0008832996],"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":[0.00018785676,0.00009381688,0.00400172,0.000056623267,0.000015126021,0.00008450798,0.000049938986,0.96971995,0.0032277294,0.0013732378,0.0016356697,0.019553797],"study_design_scores_gemma":[0.000028237626,0.000036044043,0.0013134578,0.000008361726,0.000005107167,0.000013685017,0.00002882179,0.9939078,0.0034626315,0.00023826146,0.000942044,0.000015467986],"about_ca_topic_score_codex":0.03392415,"about_ca_topic_score_gemma":0.01624313,"teacher_disagreement_score":0.03392415,"about_ca_system_score_codex":0.0015728194,"about_ca_system_score_gemma":0.0013570207,"threshold_uncertainty_score":0.067453384},"labels":[],"label_agreement":null},{"id":"W2308290803","doi":"10.14796/jwmm.r225-14","title":"Transient Flow Modeling and Verification of a 20-MGD Raw Water Conveyance System","year":2006,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Water Systems and Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Transient (computer programming); Transient flow; Environmental science; Flow (mathematics); Mechanics; Steady state (chemistry); Meteorology; Computer science; Physics; Surge; Chemistry","score_opus":0.0077014047681164665,"score_gpt":0.16299416091961474,"score_spread":0.1552927561514983,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2308290803","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":[0.9087522,0.0000672046,0.0780613,0.00016650851,0.000029391591,0.00017777948,0.0010319551,0.0029048368,0.008808734],"genre_scores_gemma":[0.99545634,0.00002090553,0.0028852231,0.0000053213425,0.0000016400545,0.000033521097,0.00016567337,0.000025784548,0.0014055013],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99965644,0.00007194927,0.000028587827,0.00006118462,0.0001269707,0.00005485997],"domain_scores_gemma":[0.9993844,0.00028850927,0.000062886145,0.00007092443,0.00017116315,0.000022015869],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00056889787,0.00042819112,0.0005808505,0.00055149506,0.0005605785,0.00054785516,0.00076508115,0.00057486125,0.0040580328],"category_scores_gemma":[0.0013143226,0.0002833096,0.00064257096,0.00030021908,0.0005121827,0.0006062256,0.00033641694,0.00045161555,0.0003365616],"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":[0.00033930902,0.00009655433,0.0032117874,0.00014049457,0.000013842056,0.00028127935,0.0002266904,0.94888765,0.030957358,0.0023535818,0.0007307823,0.012760685],"study_design_scores_gemma":[0.000022737762,0.00016542431,0.0012411526,0.000004497732,0.000007538493,0.00001674334,0.000028180966,0.98810476,0.009838967,0.0001583586,0.00040311934,0.000008606454],"about_ca_topic_score_codex":0.024027994,"about_ca_topic_score_gemma":0.010215923,"teacher_disagreement_score":0.024027994,"about_ca_system_score_codex":0.0016168677,"about_ca_system_score_gemma":0.0014596678,"threshold_uncertainty_score":0.04777628},"labels":[],"label_agreement":null},{"id":"W2308395614","doi":"10.14796/jwmm.r227-01","title":"A Procedure to Identify and Rank Rainfall/Runoff Phenomena for the Evaluation of Urban Stormwater Models","year":2007,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Stormwater; Surface runoff; Stormwater management; Environmental science; Hydrology (agriculture); Drainage basin; Drainage; Rank (graph theory); Catchment hydrology; Runoff model; Drainage network; Runoff curve number; Land use; Low-impact development; Urban runoff; Water resource management; Geography; Geology; Civil engineering; Mathematics; Engineering; Cartography; Geotechnical engineering; Ecology","score_opus":0.0416304262158935,"score_gpt":0.2947739826496302,"score_spread":0.25314355643373665,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2308395614","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":[0.056039635,0.000052845884,0.9259772,0.000066759,0.000045800778,0.0027055503,0.0017768097,0.006577752,0.006757696],"genre_scores_gemma":[0.084572166,0.000034943518,0.90960646,0.000021195894,0.00000636863,0.0012337186,0.0013840599,0.00043111134,0.0027099724],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984572,0.00045942623,0.00022142506,0.00013397168,0.0005953661,0.00013264861],"domain_scores_gemma":[0.99613154,0.0013339904,0.00027332327,0.00056799385,0.0015678917,0.00012518797],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0030280983,0.0009663256,0.0005628872,0.0030894906,0.0011638536,0.0013077012,0.0007307951,0.0003437983,0.011004413],"category_scores_gemma":[0.013204156,0.00035212695,0.00064148946,0.0015334067,0.00044890848,0.00087399746,0.0011700183,0.0008436864,0.0026563434],"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":[0.0006043881,0.0011271719,0.020582803,0.0004798512,0.00016252868,0.0005083618,0.0011688864,0.049317352,0.09435947,0.028043145,0.021183182,0.7824629],"study_design_scores_gemma":[0.0002954018,0.0018460432,0.027978541,0.00021604187,0.00016020196,0.0008228292,0.002102499,0.6156489,0.24590527,0.030410152,0.074238375,0.00037579073],"about_ca_topic_score_codex":0.0024479679,"about_ca_topic_score_gemma":0.0051567014,"teacher_disagreement_score":0.011004413,"about_ca_system_score_codex":0.00038796847,"about_ca_system_score_gemma":0.0017489544,"threshold_uncertainty_score":0.036813438},"labels":[],"label_agreement":null},{"id":"W2308412799","doi":"10.14796/jwmm.r245-03","title":"Discretized Air Phase Modeling in the Simulation of Pipeline Refilling Operations","year":2012,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Water Systems and Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Discretization; Pipeline (software); Computation; Phase (matter); Mechanics; Mains electricity; Pipeline transport; Computer science; Marine engineering; Petroleum engineering; Geology; Engineering; Mechanical engineering; Physics; Mathematics; Thermodynamics; Algorithm; Power (physics); Mathematical analysis","score_opus":0.035076530174536054,"score_gpt":0.2608245067510682,"score_spread":0.22574797657653217,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2308412799","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":[0.17885178,0.0014824924,0.771928,0.0008189798,0.00050396204,0.00008802696,0.0004458648,0.00064080145,0.045240097],"genre_scores_gemma":[0.9084793,0.00096976175,0.07785172,0.00014997169,0.00008107289,0.00010177258,0.00019766061,0.00014239458,0.012026301],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998234,0.00007212116,0.000011248085,0.000016413494,0.000052269337,0.000024555617],"domain_scores_gemma":[0.9997185,0.000165812,0.000024112518,0.000020560685,0.00004886491,0.000022126955],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021410405,0.00031841092,0.0005510981,0.0002478751,0.00039174553,0.0009843563,0.0007726206,0.0010325984,0.0030959886],"category_scores_gemma":[0.0011015303,0.00039156835,0.0004963753,0.00048571918,0.0005425996,0.00095701346,0.0005668136,0.0009057403,0.00036414337],"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":[0.000019913474,0.0000150719,0.00023633687,0.000020960551,0.0000065034087,0.000033664917,0.000031042247,0.9855334,0.0014793823,0.008894411,0.00023402563,0.0034951936],"study_design_scores_gemma":[0.000005435829,0.0000075847743,0.000042203734,0.0000036398703,0.0000015870737,0.0000036996803,0.0000075569837,0.99779665,0.0002112317,0.001256591,0.0006613571,0.0000025749255],"about_ca_topic_score_codex":0.014338621,"about_ca_topic_score_gemma":0.009906797,"teacher_disagreement_score":0.014338621,"about_ca_system_score_codex":0.0006024911,"about_ca_system_score_gemma":0.0007778743,"threshold_uncertainty_score":0.028510332},"labels":[],"label_agreement":null},{"id":"W2308711047","doi":"10.14796/jwmm.r227-11","title":"Optimal Design of Urban Drainage Systems using Genetic Algorithms","year":2007,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Water Systems and Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Coquitlam College","funders":"","keywords":"Drainage; Computer science; Genetic algorithm; Algorithm; Biology; Machine learning; Ecology","score_opus":0.02546053678339466,"score_gpt":0.2147579121141261,"score_spread":0.18929737533073143,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2308711047","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":[0.1008113,0.00082926254,0.8808505,0.00042585208,0.000092395196,0.00021678227,0.00020985166,0.0006947288,0.01586946],"genre_scores_gemma":[0.8743582,0.00034984696,0.11806317,0.0001267683,0.000023804612,0.00038811966,0.0002499647,0.000109482426,0.0063306885],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995859,0.00014538213,0.000018587329,0.000076019525,0.00006749662,0.00010661418],"domain_scores_gemma":[0.9989955,0.0006400143,0.0001093949,0.000028446611,0.00017171494,0.000054911663],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008527913,0.0012142499,0.0013201117,0.001367001,0.0005699375,0.0014146484,0.00095538865,0.0014975364,0.0038587896],"category_scores_gemma":[0.0023635365,0.0009400482,0.00088043173,0.0010290404,0.0009809774,0.00067570567,0.0010289238,0.00084837334,0.0003905385],"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":[0.0000073920714,0.0000071143727,0.00008083501,0.000006867909,0.000005803892,0.000007681857,0.0000057582197,0.99681807,0.00006677706,0.00052273844,0.000079654135,0.0023912485],"study_design_scores_gemma":[0.000010700772,0.0000116783785,0.000036384376,0.0000034048212,0.0000035142155,0.0000017639234,0.0000068852255,0.9988016,0.00005048075,0.0008935805,0.00017813678,0.0000018039652],"about_ca_topic_score_codex":0.01710364,"about_ca_topic_score_gemma":0.015004836,"teacher_disagreement_score":0.01710364,"about_ca_system_score_codex":0.0013812792,"about_ca_system_score_gemma":0.0019347131,"threshold_uncertainty_score":0.034008205},"labels":[],"label_agreement":null},{"id":"W2309140248","doi":"10.14796/jwmm.r245-19","title":"Reformatting and Post Processing Tools for SWMM5","year":2012,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Urban Stormwater Management Solutions","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Agency (philosophy); Combined sewer; Control (management); Environmental science; Environmental planning; Engineering; Computer science; Artificial intelligence; Sociology","score_opus":0.03154763465127389,"score_gpt":0.23985908851779872,"score_spread":0.20831145386652483,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2309140248","genre_codex":"methods","genre_gemma":"software","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"software","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.015088783,0.000092609574,0.73679703,0.00036120837,0.00030671016,0.0004982074,0.010951785,0.21998662,0.01591698],"genre_scores_gemma":[0.088365674,0.0001488488,0.8131809,0.0005463711,0.00013472656,0.0008718846,0.032958057,0.035923574,0.02786983],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99864167,0.00016461925,0.00015488014,0.00022152871,0.00064638845,0.00017088285],"domain_scores_gemma":[0.9960129,0.0012229348,0.0002881712,0.0010954834,0.0013065679,0.00007394697],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022876062,0.0020878979,0.00057456596,0.0018967665,0.0010686009,0.0020096153,0.002082386,0.0007375888,0.06342038],"category_scores_gemma":[0.007593854,0.0013165635,0.0015719449,0.0017783721,0.0006149037,0.0020095338,0.0015734634,0.002005803,0.018374689],"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":[0.0010822787,0.0004234479,0.009985687,0.0007878737,0.0002518366,0.00055629865,0.0012431627,0.03668787,0.044474814,0.019887539,0.20738801,0.6772312],"study_design_scores_gemma":[0.0002548549,0.00031597586,0.006788658,0.0001440525,0.000120766694,0.0003275708,0.0004768132,0.24579063,0.22194038,0.015294645,0.50835013,0.0001954961],"about_ca_topic_score_codex":0.010908073,"about_ca_topic_score_gemma":0.0139806615,"teacher_disagreement_score":0.06342038,"about_ca_system_score_codex":0.0010698722,"about_ca_system_score_gemma":0.0026501012,"threshold_uncertainty_score":0.21216232},"labels":[],"label_agreement":null},{"id":"W2309229014","doi":"10.14796/jwmm.r227-12","title":"Understanding Surface Drainage for Flood Control in Downtown Ottawa","year":2007,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Urban Stormwater Management Solutions","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Downtown; Flood control; Flood myth; Drainage; Hydrology (agriculture); Environmental science; Water resource management; Sanitary sewer; Geography; Geology; Environmental engineering; Archaeology; Geotechnical engineering","score_opus":0.04996086349992381,"score_gpt":0.24185074355289898,"score_spread":0.19188988005297516,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2309229014","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":[0.9924402,0.000120858924,0.0013166157,0.00030109062,0.0000037762452,0.000026062255,0.0006718401,0.000034484656,0.005085069],"genre_scores_gemma":[0.99663746,0.0001707469,0.0010075457,0.000019305333,0.0000011236152,0.0000109592,0.00030713493,0.000007984744,0.0018376912],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999902,0.000012680625,0.0000038644557,0.000018307144,0.000016971724,0.000046236728],"domain_scores_gemma":[0.99987924,0.000037332404,0.00001585718,0.0000072492912,0.00003602178,0.00002433755],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007572792,0.0002743665,0.00017838387,0.00040229707,0.0009930553,0.001531345,0.00043135387,0.00033601065,0.002530028],"category_scores_gemma":[0.0005379554,0.00022779815,0.0003019696,0.0007020526,0.0007626325,0.0006705907,0.0005039546,0.0003477686,0.00015153977],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002764114,0.00017668029,0.5778654,0.00024438763,0.00014588356,0.0012979688,0.0069188704,0.30778247,0.0132036265,0.017032508,0.0051012533,0.06995446],"study_design_scores_gemma":[0.000031933298,0.000117065545,0.62319505,0.00008814418,0.00015533561,0.00021542434,0.020641735,0.32912135,0.0045873183,0.005320458,0.016395357,0.00013077416],"about_ca_topic_score_codex":0.93006545,"about_ca_topic_score_gemma":0.9745594,"teacher_disagreement_score":0.06993455,"about_ca_system_score_codex":0.012260529,"about_ca_system_score_gemma":0.007838911,"threshold_uncertainty_score":0.14069277},"labels":[],"label_agreement":null},{"id":"W2309516515","doi":"10.14796/jwmm.r206-09","title":"On Automatic Calibration of the SWMM Model","year":2000,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Storm Water Management Model; Stormwater management; Surface runoff; Agency (philosophy); Calibration; Conceptual model; Hydrological modelling; Computer science; Hydrology (agriculture); Environmental science; Engineering; Civil engineering; Stormwater; Mathematics; Geology; Database; Ecology; Geotechnical engineering; Sociology","score_opus":0.012428735738103333,"score_gpt":0.20791444129717504,"score_spread":0.19548570555907172,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2309516515","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":[0.016465267,0.00010883219,0.9739788,0.00013876017,0.000070737726,0.000056215966,0.00016650633,0.0050239055,0.003990929],"genre_scores_gemma":[0.4459937,0.0003422425,0.5465238,0.00020115495,0.00007438437,0.00022038036,0.0016701559,0.001273881,0.003700305],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99896383,0.00032144142,0.000052239448,0.00019658655,0.0003850683,0.00008068788],"domain_scores_gemma":[0.99808574,0.00055899227,0.00014207237,0.0005322211,0.0006369701,0.00004401742],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017797566,0.0007039108,0.0005211187,0.00070764066,0.00059395574,0.0013370552,0.0013615582,0.0007571623,0.004687721],"category_scores_gemma":[0.007610315,0.0006113132,0.0005504817,0.0007649828,0.0003562063,0.0014014803,0.0020571533,0.0014823299,0.0023652923],"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":[0.00020254745,0.00006276321,0.0028695087,0.00010290148,0.000050693736,0.0001143503,0.00012579816,0.6066958,0.012878268,0.011697145,0.0072931834,0.35790706],"study_design_scores_gemma":[0.00001240522,0.000013195732,0.00050776784,0.000015001759,0.000006775637,0.000030131738,0.000017515917,0.9876823,0.0043841135,0.0031203395,0.004198259,0.000012171107],"about_ca_topic_score_codex":0.0065365173,"about_ca_topic_score_gemma":0.0057389983,"teacher_disagreement_score":0.0065365173,"about_ca_system_score_codex":0.00062146207,"about_ca_system_score_gemma":0.0012569304,"threshold_uncertainty_score":0.015681982},"labels":[],"label_agreement":null},{"id":"W2309977312","doi":"10.14796/jwmm.r220-30","title":"Regional Hydrological Modeling of City of Tshwane Municipality using VisualSWMM","year":2004,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Geography; Environmental planning; Water resource management; Environmental science","score_opus":0.06873872839337104,"score_gpt":0.28470017971952183,"score_spread":0.2159614513261508,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2309977312","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":[0.9848918,0.00003988919,0.0036707965,0.00022841702,0.000016741886,0.000050125862,0.005364697,0.00040311678,0.005334347],"genre_scores_gemma":[0.99239784,0.00004013616,0.0032186343,0.000017679198,0.0000044407516,0.00006129386,0.00266944,0.000024793857,0.001565689],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99988365,0.000032546024,0.0000073580077,0.000018979168,0.000019943578,0.000037558617],"domain_scores_gemma":[0.99984694,0.00003245965,0.000015733734,0.00001714467,0.00006031639,0.000027389766],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026498715,0.00028083252,0.00028512377,0.0005305315,0.00048918335,0.0008032182,0.0007814409,0.00046003787,0.0025356323],"category_scores_gemma":[0.00071031996,0.00029502067,0.0006274658,0.0015334169,0.00018631972,0.00039821462,0.0004587288,0.0003146905,0.0002741641],"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":[0.0001557394,0.00013353709,0.045075864,0.00008506903,0.0001361118,0.00038161303,0.00037091304,0.9277374,0.0033484683,0.0025761512,0.004403091,0.015595922],"study_design_scores_gemma":[0.00012474331,0.000032797467,0.035480462,0.00001288294,0.00004564507,0.00003584247,0.00047876016,0.95887065,0.00081348134,0.00070273964,0.0033623073,0.000039683153],"about_ca_topic_score_codex":0.40859574,"about_ca_topic_score_gemma":0.47831705,"teacher_disagreement_score":0.40859574,"about_ca_system_score_codex":0.0029747272,"about_ca_system_score_gemma":0.0024643745,"threshold_uncertainty_score":0.8124349},"labels":[],"label_agreement":null},{"id":"W2310366013","doi":"10.14796/jwmm.r215-09","title":"Development of Long Term Precipitation and Infiltration Records for the Performance Evaluation of a Proposed Regional Tunnel","year":2003,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Geotechnical Engineering and Analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Infiltration (HVAC); Term (time); Precipitation; Environmental science; Meteorology; Geography","score_opus":0.035804306456045515,"score_gpt":0.24048163095674463,"score_spread":0.20467732450069911,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2310366013","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":[0.9250705,0.000056051824,0.068887845,0.000044246735,0.000016192804,0.00024754606,0.002487396,0.0008208212,0.0023692597],"genre_scores_gemma":[0.9580607,0.000082030376,0.038253665,0.000006446751,0.000006716487,0.00021220016,0.0027539579,0.000051543793,0.00057277275],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9995024,0.00012452833,0.000055585493,0.00005496578,0.00022777644,0.00003466741],"domain_scores_gemma":[0.99857354,0.00022767851,0.00021937053,0.00017304026,0.00073184277,0.000074436604],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001416771,0.00033888654,0.0003164909,0.00073559914,0.00032679606,0.00070215703,0.0005615863,0.0003018084,0.0007851764],"category_scores_gemma":[0.0028059313,0.00023400884,0.0003106028,0.0008401541,0.00013514938,0.0007177862,0.00033979432,0.00040737557,0.00018804845],"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":[0.00052794884,0.0007498044,0.29804358,0.00021997315,0.00013672466,0.0003064499,0.0003869071,0.4709226,0.06259038,0.0018933553,0.001959266,0.16226307],"study_design_scores_gemma":[0.00007862281,0.0012502901,0.17038614,0.00005431571,0.00007341729,0.00014429042,0.00030437004,0.77053607,0.051327877,0.00041443063,0.0053244713,0.00010579674],"about_ca_topic_score_codex":0.0058941524,"about_ca_topic_score_gemma":0.014725478,"teacher_disagreement_score":0.0058941524,"about_ca_system_score_codex":0.0006228369,"about_ca_system_score_gemma":0.0009996907,"threshold_uncertainty_score":0.011719704},"labels":[],"label_agreement":null},{"id":"W2310406202","doi":"10.14796/jwmm.c396","title":"The Water Utility Risk Integration Matrix: Demonstrating Potential for an Integrated Approach to Municipal Water Management","year":2016,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Water resources management and optimization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Isolation (microbiology); Risk analysis (engineering); Business; Risk management; Matrix (chemical analysis); Environmental planning; Water resource management; Environmental science; Environmental resource management; Finance; Chemistry","score_opus":0.01854586521455155,"score_gpt":0.2244712392128917,"score_spread":0.20592537399834016,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2310406202","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":[0.14040837,0.0007112921,0.59123445,0.011216687,0.0002836258,0.0018411301,0.013782493,0.011945543,0.22857645],"genre_scores_gemma":[0.15349714,0.00059721706,0.8246868,0.00023624884,0.00005070156,0.00079347054,0.003964777,0.0006918302,0.015481856],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9980274,0.0007200517,0.00014454048,0.00012871977,0.0008886255,0.000090657435],"domain_scores_gemma":[0.99414957,0.0039400132,0.0003237014,0.0003378646,0.0010911735,0.00015772862],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0030616682,0.0005527823,0.00026538686,0.0020483346,0.0008750407,0.0027198573,0.0008092444,0.00052114576,0.011390411],"category_scores_gemma":[0.0076173306,0.00041234997,0.00041460374,0.0022395006,0.00041387085,0.002267827,0.0020040332,0.0010817256,0.001393499],"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":[0.00024014145,0.00059386116,0.010468482,0.000821243,0.00007659397,0.0011120152,0.010259328,0.07368233,0.011561684,0.25384676,0.16098523,0.4763523],"study_design_scores_gemma":[0.000135592,0.00029104218,0.00847461,0.00061650656,0.00006708962,0.00058488245,0.006888291,0.20812158,0.007255496,0.07423968,0.6931541,0.00017119247],"about_ca_topic_score_codex":0.013761594,"about_ca_topic_score_gemma":0.03460638,"teacher_disagreement_score":0.013761594,"about_ca_system_score_codex":0.0014301465,"about_ca_system_score_gemma":0.0030888738,"threshold_uncertainty_score":0.038104773},"labels":[],"label_agreement":null},{"id":"W2310447966","doi":"10.14796/jwmm.r223-04","title":"Rapid Detection of Bacteria in a Water Distribution System","year":2005,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Nanopore and Nanochannel Transport Studies","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Blackout; Intrusion; Environmental science; Bacteria; Distribution (mathematics); Water contamination; Contamination; Power (physics); Biology; Geology; Ecology; Electric power system; Mathematics; Physics","score_opus":0.009863542863494348,"score_gpt":0.17941984177929593,"score_spread":0.1695562989158016,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2310447966","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":[0.9702748,0.0004829736,0.025393162,0.00026081994,0.00003381265,0.000049701892,0.00013194942,0.00016860612,0.0032042144],"genre_scores_gemma":[0.99214476,0.00020597845,0.0059869993,0.000050377927,0.0000044767144,0.000014697799,0.00005140399,0.000006479184,0.0015347069],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997714,0.000024676458,0.000006223877,0.000057315472,0.00010403474,0.000036343026],"domain_scores_gemma":[0.9997824,0.00008563824,0.000033990906,0.000008823353,0.00007079464,0.000018365174],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018549208,0.00016119206,0.00020851038,0.00033858477,0.00029592833,0.00033034163,0.000225486,0.00042595586,0.0008384567],"category_scores_gemma":[0.00053635484,0.00016437405,0.000094176066,0.00020535535,0.00026715634,0.00074862415,0.00028835257,0.0002981298,0.00023949519],"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":[0.00027164357,0.00014977639,0.010675029,0.00015469166,0.000010135415,0.0002467474,0.00021254085,0.012537096,0.953869,0.0012191508,0.0004800525,0.02017422],"study_design_scores_gemma":[0.00004178273,0.0008745533,0.013649382,0.000029553832,0.00001780137,0.00032017313,0.00048743296,0.23678724,0.74202466,0.0015338404,0.0042000264,0.00003361806],"about_ca_topic_score_codex":0.004750824,"about_ca_topic_score_gemma":0.0032048894,"teacher_disagreement_score":0.004750824,"about_ca_system_score_codex":0.0004813216,"about_ca_system_score_gemma":0.00033853634,"threshold_uncertainty_score":0.009446323},"labels":[],"label_agreement":null},{"id":"W2310522449","doi":"10.14796/jwmm.r206-13","title":"Software for the Hydraulic Design of Underground Stormwater Detention Tanks","year":2000,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Urban Stormwater Management Solutions","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Stormwater; Stormwater management; Surface runoff; Detention basin; Civil engineering; Environmental science; Key (lock); Water resource management; Environmental planning; Engineering; Computer science; Computer security","score_opus":0.03211939415979821,"score_gpt":0.22359854481040312,"score_spread":0.1914791506506049,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2310522449","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":[0.004612018,0.0001734686,0.88626575,0.00011442798,0.00007894812,0.000309421,0.0026700867,0.097204976,0.008570874],"genre_scores_gemma":[0.13223642,0.0008833965,0.79755163,0.00032685313,0.00005899644,0.0026043875,0.014041157,0.021933865,0.030363355],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99948454,0.000073197516,0.00007484078,0.00008518133,0.00022744827,0.000054725973],"domain_scores_gemma":[0.9984642,0.00084616157,0.00010295302,0.00013359422,0.00037212312,0.0000810191],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00126634,0.0017731197,0.001068493,0.0010620195,0.0007829891,0.001529219,0.0024744845,0.0013857088,0.054429837],"category_scores_gemma":[0.003515594,0.0012885432,0.0012700441,0.00075187755,0.0005240671,0.0011901866,0.0015736895,0.0017211877,0.010924656],"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":[0.00059816206,0.00039540022,0.005643318,0.0020541812,0.00027214672,0.0008663491,0.0009241986,0.39067987,0.030696139,0.028711054,0.123655245,0.41550392],"study_design_scores_gemma":[0.00029551875,0.00007114304,0.00094603526,0.00017509492,0.00007389132,0.00027221453,0.000091305745,0.8479152,0.012709099,0.0151864635,0.12218267,0.00008132418],"about_ca_topic_score_codex":0.005647995,"about_ca_topic_score_gemma":0.007200974,"teacher_disagreement_score":0.054429837,"about_ca_system_score_codex":0.00083589635,"about_ca_system_score_gemma":0.0017278593,"threshold_uncertainty_score":0.18208593},"labels":[],"label_agreement":null},{"id":"W2310697366","doi":"10.14796/jwmm.r236-29","title":"Contaminant Source Identification for Priority Nodes in Water Distribution Systems","year":2010,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","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":true,"route_about_ca":false,"ca_institutions":"University of Guelph; Conestoga College","funders":"","keywords":"Identification (biology); Water source; Environmental science; Distribution (mathematics); Stage (stratigraphy); Computer science; Water resource management; Geology; Mathematics; Ecology","score_opus":0.008417541506786799,"score_gpt":0.1995717918206945,"score_spread":0.1911542503139077,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2310697366","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":[0.11527503,0.00008049762,0.8810568,0.00008569613,0.000022229062,0.00031628145,0.00021019827,0.0012862423,0.0016670661],"genre_scores_gemma":[0.67938,0.000091711525,0.31440943,0.00004085532,0.000011366328,0.0001771534,0.00033370542,0.00009629836,0.0054594753],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995152,0.00013929264,0.00001589103,0.00009844591,0.00015836228,0.00007290771],"domain_scores_gemma":[0.9987061,0.0006707361,0.00011976518,0.00006615134,0.0003587869,0.00007834538],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00082361524,0.00068242353,0.00054046727,0.0007521933,0.000660113,0.00070189545,0.000794328,0.00061031774,0.0036222653],"category_scores_gemma":[0.0028837218,0.00037193266,0.00033735397,0.00035095197,0.00028495744,0.0008009971,0.00068657106,0.0006386224,0.00069323665],"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":[0.0015857072,0.0004156265,0.009899689,0.000571289,0.00005062674,0.000493288,0.00039125976,0.510613,0.20748515,0.009214325,0.0031963598,0.25608358],"study_design_scores_gemma":[0.000051148658,0.00040404755,0.0021841156,0.00001305872,0.000023224004,0.000064562584,0.000103637634,0.9214666,0.07082079,0.0032713795,0.0015594083,0.000038004833],"about_ca_topic_score_codex":0.006130873,"about_ca_topic_score_gemma":0.010410795,"teacher_disagreement_score":0.006130873,"about_ca_system_score_codex":0.00073927944,"about_ca_system_score_gemma":0.001824672,"threshold_uncertainty_score":0.012190402},"labels":[],"label_agreement":null},{"id":"W2310762397","doi":"10.14796/jwmm.r220-08","title":"Analysis of SSO Control Alternatives within the City of Detroit's Regional Collection System","year":2004,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Urban Stormwater Management Solutions","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Control (management); Regional science; Geography; Computer science; Artificial intelligence","score_opus":0.019242691200606097,"score_gpt":0.21918952108852718,"score_spread":0.1999468298879211,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2310762397","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":[0.99586236,0.00003573433,0.0004564745,0.00007693914,0.000003098794,0.000074778356,0.00027577468,0.000016911026,0.003198025],"genre_scores_gemma":[0.99617493,0.00006288442,0.0013316371,0.000023385206,0.0000031852396,0.00005338357,0.0004418124,0.000010870351,0.0018977891],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986848,0.0004053686,0.00003951594,0.0001520699,0.000322554,0.00039568983],"domain_scores_gemma":[0.9978509,0.0009387059,0.00024673616,0.00011211415,0.00060928904,0.00024234146],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012491733,0.0006023719,0.00067729235,0.001028938,0.0011603477,0.0023440477,0.0011752761,0.00074309186,0.0041915462],"category_scores_gemma":[0.0025392517,0.0004492285,0.0010209267,0.0014050631,0.00083632336,0.0006185209,0.0006924506,0.0006496942,0.00019922054],"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":[0.0025553629,0.0015042541,0.08591185,0.00030823544,0.0007262276,0.0013567464,0.00044141154,0.8618736,0.013073579,0.0073737525,0.0036512243,0.021223772],"study_design_scores_gemma":[0.00030521827,0.0016520524,0.13131377,0.000033435892,0.0005787431,0.00011894017,0.0036345252,0.8508731,0.006919198,0.001082233,0.0033750848,0.00011375823],"about_ca_topic_score_codex":0.29718065,"about_ca_topic_score_gemma":0.4560437,"teacher_disagreement_score":0.29718065,"about_ca_system_score_codex":0.00811824,"about_ca_system_score_gemma":0.0037815683,"threshold_uncertainty_score":0.59090173},"labels":[],"label_agreement":null},{"id":"W2310885566","doi":"10.14796/jwmm.r223-07","title":"A Review of Reliability Analysis for Water Quality in Water Distribution Systems","year":2005,"lang":"en","type":"review","venue":"Journal of Water Management Modeling","topic":"Water Systems and Optimization","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Reliability (semiconductor); Reliability engineering; Water quality; Quality (philosophy); Environmental science; Distribution (mathematics); Computer science; Engineering; Mathematics; Thermodynamics; Physics","score_opus":0.05062733708069007,"score_gpt":0.3081057229457305,"score_spread":0.25747838586504046,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2310885566","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00039658253,0.97725016,0.015119858,0.00063529436,0.00050791854,0.00002346995,0.00006527581,0.000050310708,0.0059511643],"genre_scores_gemma":[0.0049162856,0.9827178,0.008544666,0.00028858788,0.0006925682,0.000035527035,0.00009111946,0.0000251072,0.0026883625],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9984133,0.00036995354,0.00020064805,0.00020652669,0.0007537765,0.000055698987],"domain_scores_gemma":[0.99679154,0.0018609137,0.0002391794,0.00011136641,0.00095997396,0.0000369251],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018264166,0.0019715766,0.0026108848,0.0033507405,0.0005867388,0.0015482538,0.001885243,0.0019435523,0.004823066],"category_scores_gemma":[0.004054057,0.0007454008,0.0011776631,0.0072228005,0.0010372205,0.0026315136,0.00064985675,0.0014176179,0.003009353],"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":[0.000035344678,0.00010094731,0.0005349216,0.02390204,0.00017581497,0.0002903226,0.00017275247,0.017869918,0.0017850549,0.03699774,0.060534112,0.8576011],"study_design_scores_gemma":[0.000014948727,0.00017662073,0.002068196,0.009172209,0.00019767665,0.001353561,0.00014804634,0.007028865,0.0016349438,0.034834057,0.943262,0.000108763175],"about_ca_topic_score_codex":0.005857253,"about_ca_topic_score_gemma":0.0051482837,"teacher_disagreement_score":0.005857253,"about_ca_system_score_codex":0.001666327,"about_ca_system_score_gemma":0.002245907,"threshold_uncertainty_score":0.016134739},"labels":[],"label_agreement":null},{"id":"W2310931834","doi":"10.14796/jwmm.r236-12","title":"Representation of Low Impact Development Scenarios in SWMM","year":2010,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Urban Stormwater Management Solutions","field":"Environmental Science","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Low-impact development; Representation (politics); Environmental science; Stormwater management; Environmental planning; Environmental resource management; Engineering; Civil engineering; Computer science; Environmental engineering; Hydrology (agriculture); Surface runoff; Stormwater; Ecology; Geotechnical engineering; Political science","score_opus":0.01714993268352655,"score_gpt":0.25175873229207496,"score_spread":0.2346087996085484,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2310931834","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":[0.71957093,0.00029049438,0.14932518,0.0014566559,0.0002907113,0.00028221463,0.036252573,0.004544578,0.08798662],"genre_scores_gemma":[0.94491047,0.00012441073,0.041906018,0.00013115564,0.000023658016,0.000167306,0.008129095,0.00030624526,0.0043017],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99977726,0.000081208855,0.0000169732,0.00003020259,0.000038662572,0.000055826535],"domain_scores_gemma":[0.9992655,0.00039376452,0.00006303742,0.00008944688,0.00012849287,0.000059730686],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000588053,0.0005323934,0.00036175677,0.0009171828,0.00043979514,0.001230588,0.000984716,0.0012677262,0.011520229],"category_scores_gemma":[0.0023019002,0.0004600776,0.0008165089,0.001183011,0.00030398867,0.00076479506,0.0006523687,0.000619678,0.00085237785],"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":[0.000034285113,0.00004428078,0.0020337615,0.000026160365,0.000013665043,0.00008589007,0.000039192077,0.9874101,0.00034826575,0.0044667274,0.0019721559,0.0035254878],"study_design_scores_gemma":[0.000015432244,0.00000966513,0.0006149235,0.000008172494,0.000004539543,0.00001569133,0.000040865358,0.9933055,0.00028730705,0.003033336,0.0026583257,0.000006290312],"about_ca_topic_score_codex":0.033726033,"about_ca_topic_score_gemma":0.032025255,"teacher_disagreement_score":0.033726033,"about_ca_system_score_codex":0.0011815999,"about_ca_system_score_gemma":0.0007618995,"threshold_uncertainty_score":0.06705946},"labels":[],"label_agreement":null},{"id":"W2311061203","doi":"10.14796/jwmm.r236-03","title":"Implementation of a Unique Real Time Flash Flood Forecasting System in Martinique (France)","year":2010,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Flood Risk Assessment and Management","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Martinique; Flash flood; Flash (photography); Nowcasting; Computer science; Flood myth; Cartography; Meteorology; Geography; History; West indies; Archaeology; Ethnology","score_opus":0.00843033552819466,"score_gpt":0.2347931951277343,"score_spread":0.22636285959953964,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2311061203","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":[0.9901216,0.00004308977,0.005708184,0.00024070841,0.000029104353,0.00008727447,0.0004929873,0.0011516783,0.0021254004],"genre_scores_gemma":[0.99122167,0.000042453954,0.0063062143,0.000027047057,0.000008677947,0.000049655195,0.000572832,0.000021715703,0.0017497301],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99976903,0.000063020896,0.0000116846195,0.000050930277,0.000049755552,0.000055677043],"domain_scores_gemma":[0.9996087,0.000076228236,0.000037004673,0.000034399283,0.0001550773,0.00008863966],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006634093,0.00040706756,0.00025962616,0.00042518767,0.00041588888,0.00068877346,0.0003467716,0.00050119456,0.00085168],"category_scores_gemma":[0.00094741816,0.00019582626,0.00019553612,0.00031045775,0.000238053,0.00036168212,0.00028171024,0.00030843215,0.00015588482],"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":[0.0017938804,0.00088527694,0.16836362,0.00019954932,0.00026941393,0.0019073007,0.0018768123,0.49562812,0.075762816,0.002510565,0.0072457204,0.2435569],"study_design_scores_gemma":[0.00042973584,0.0011668787,0.32117072,0.00003888298,0.00010455749,0.00010736272,0.0007997325,0.6288429,0.028936798,0.00022875275,0.018060291,0.000113459086],"about_ca_topic_score_codex":0.25000146,"about_ca_topic_score_gemma":0.14568356,"teacher_disagreement_score":0.25000146,"about_ca_system_score_codex":0.0016677189,"about_ca_system_score_gemma":0.002315103,"threshold_uncertainty_score":0.4970926},"labels":[],"label_agreement":null},{"id":"W2311277176","doi":"10.14796/jwmm.r245-15","title":"Using Sanitary Sewer I/I Field Data to Calibrate a Storm Sewer Model","year":2012,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Urban Stormwater Management Solutions","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Sewerage; Sanitary sewer; Combined sewer; Storm; Drainage; Hydrology (agriculture); Stormwater; Environmental science; Division (mathematics); Water resource management; Civil engineering; Environmental engineering; Engineering; Meteorology; Geography; Geotechnical engineering; Surface runoff; Mathematics","score_opus":0.13736872868817293,"score_gpt":0.29602254106291903,"score_spread":0.1586538123747461,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2311277176","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":[0.93119335,0.000037580467,0.046530664,0.00022587924,0.0000676478,0.00019549394,0.004961554,0.0019726686,0.014815147],"genre_scores_gemma":[0.97351474,0.000042750347,0.020291477,0.00003577707,0.000005783837,0.00011010723,0.0037744234,0.00017565407,0.0020492624],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997787,0.000034833767,0.000013853511,0.000072436036,0.00006706986,0.00003311171],"domain_scores_gemma":[0.9995185,0.0001065263,0.000039359853,0.0000843305,0.0002261897,0.000025210495],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046829507,0.00054227025,0.0003749191,0.0005270598,0.0007260086,0.00079971924,0.000898128,0.0007298503,0.0018957802],"category_scores_gemma":[0.0010923346,0.00048395334,0.0006582086,0.00088809564,0.00027163848,0.0008020859,0.00025691773,0.0008319894,0.00077406614],"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":[0.000042208238,0.00020745092,0.024765978,0.000022888138,0.00004201154,0.000053232146,0.000057928224,0.9581295,0.0023727433,0.00064465817,0.002337376,0.011324104],"study_design_scores_gemma":[0.000046593377,0.000038028364,0.00875697,0.000006705764,0.000020460038,0.000010624848,0.000053245465,0.98589385,0.0030032722,0.0003449489,0.0018081322,0.00001717473],"about_ca_topic_score_codex":0.123812735,"about_ca_topic_score_gemma":0.1363281,"teacher_disagreement_score":0.123812735,"about_ca_system_score_codex":0.0020494577,"about_ca_system_score_gemma":0.0017958276,"threshold_uncertainty_score":0.24618411},"labels":[],"label_agreement":null},{"id":"W2311743771","doi":"10.14796/jwmm.r208-04","title":"Short Time-Interval Rainfall Disaggregation for Continuous Hydrologic Simulation","year":2002,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Storm; Interval (graph theory); Environmental science; Drainage; Hydrology (agriculture); Hydrological modelling; Computer science; Meteorology; Climatology; Geology; Mathematics; Geotechnical engineering; Geography","score_opus":0.024907169739031735,"score_gpt":0.23705722962634196,"score_spread":0.21215005988731023,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2311743771","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":[0.046278033,0.00014794916,0.9460651,0.0001749164,0.00007147091,0.00008190884,0.00096152193,0.0028229647,0.0033960906],"genre_scores_gemma":[0.760762,0.0002076419,0.23583412,0.00009424629,0.00005904231,0.00027512189,0.0013360383,0.00036297154,0.0010688413],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99965024,0.0001499588,0.000032351352,0.000047940317,0.00008869671,0.000030843952],"domain_scores_gemma":[0.9980008,0.0011495086,0.0001365839,0.00040119363,0.0002131644,0.0000987601],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010448179,0.00036757326,0.0005219287,0.00035108966,0.0003262743,0.0006652777,0.0007980829,0.0004337305,0.0039807097],"category_scores_gemma":[0.004755999,0.00030905,0.0004770074,0.0007861269,0.00022605922,0.00072225934,0.00064310525,0.001096059,0.0004980488],"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":[0.00019141518,0.00007456363,0.0030401368,0.000064764085,0.000059708666,0.00009090413,0.00008262829,0.9361514,0.0039103865,0.010325582,0.0024045757,0.043603927],"study_design_scores_gemma":[0.000012161299,0.000014468051,0.00034629751,0.0000022010884,0.0000048266656,0.0000074713175,0.000004194836,0.996249,0.00037129433,0.0020400928,0.0009440623,0.000003872159],"about_ca_topic_score_codex":0.00810691,"about_ca_topic_score_gemma":0.0074072652,"teacher_disagreement_score":0.00810691,"about_ca_system_score_codex":0.00046907936,"about_ca_system_score_gemma":0.0006729618,"threshold_uncertainty_score":0.01611948},"labels":[],"label_agreement":null},{"id":"W2311754513","doi":"10.14796/jwmm.r223-13","title":"Stormwater Quality Descriptions using the Three Parameter Lognormal Distribution","year":2005,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Water Systems and Optimization","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Log-normal distribution; Stormwater; Environmental science; Cumulative distribution function; Stormwater management; Hydrology (agriculture); Probability distribution; Distribution (mathematics); Statistics; Surface runoff; Econometrics; Mathematics; Probability density function; Geology; Geotechnical engineering","score_opus":0.04968672775095206,"score_gpt":0.24527262845714987,"score_spread":0.1955859007061978,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2311754513","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":[0.01721656,0.0007208924,0.9694782,0.00030947765,0.000062101404,0.000112181406,0.002392223,0.0007791204,0.008929224],"genre_scores_gemma":[0.7253942,0.0049714996,0.24170925,0.00047047265,0.00018167906,0.0006244381,0.0073043564,0.00054729066,0.01879677],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998719,0.00023251044,0.00016470862,0.00016894632,0.0006017608,0.00011320971],"domain_scores_gemma":[0.9976084,0.0008016925,0.00038752583,0.00024515908,0.00090577774,0.000051425835],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018371239,0.0007629483,0.0004086346,0.0020696712,0.0004313358,0.0018030746,0.0014005069,0.0006228951,0.0034257113],"category_scores_gemma":[0.00600839,0.00024302029,0.0009990184,0.0026681216,0.0005674101,0.002392647,0.00075397623,0.0007856113,0.0012837976],"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":[0.00010339999,0.000073557036,0.017677557,0.00018100698,0.00009861943,0.00047598686,0.0002635268,0.68104583,0.0020286983,0.1567902,0.014536931,0.1267247],"study_design_scores_gemma":[0.000016836473,0.000048827627,0.005574095,0.00006944002,0.000029637042,0.0004867267,0.0001756904,0.83539224,0.00091783697,0.131863,0.025373574,0.000052098974],"about_ca_topic_score_codex":0.01740105,"about_ca_topic_score_gemma":0.012173668,"teacher_disagreement_score":0.01740105,"about_ca_system_score_codex":0.0016968935,"about_ca_system_score_gemma":0.0013715489,"threshold_uncertainty_score":0.034599483},"labels":[],"label_agreement":null},{"id":"W2311768516","doi":"10.14796/jwmm.r225-10","title":"Optimization of Enhanced Coagulation in Water Treatment using Bayesian Networks","year":2006,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Water Treatment and Disinfection","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Coagulation; Bayesian probability; Computer science; Biochemical engineering; Medicine; Artificial intelligence; Engineering; Internal medicine","score_opus":0.011754379828326257,"score_gpt":0.2136223250530247,"score_spread":0.20186794522469845,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2311768516","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":[0.1658077,0.00067246857,0.8252159,0.00066071923,0.000038680988,0.00017295787,0.00023619107,0.0003607716,0.0068346886],"genre_scores_gemma":[0.90631974,0.00045693523,0.08902858,0.000107938846,0.000023517436,0.00037992353,0.00028553593,0.00004850522,0.0033492725],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992398,0.00035790406,0.000028757631,0.00012192127,0.00014881372,0.00010288648],"domain_scores_gemma":[0.9980428,0.0014182781,0.0002055252,0.000042457483,0.00022703552,0.000063949075],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019429825,0.0010787993,0.0014507911,0.0009718196,0.0005442094,0.0011492464,0.0011091337,0.0015823789,0.0018635731],"category_scores_gemma":[0.0045962473,0.0010713383,0.00091404037,0.00076412776,0.000985496,0.001449375,0.0011105954,0.0009572675,0.00019513753],"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":[0.000018381026,0.000010331984,0.00009644692,0.0000071869736,0.0000071807117,0.0000067811625,0.000005126555,0.99708647,0.00015569446,0.00087372056,0.00003991109,0.0016927382],"study_design_scores_gemma":[0.000011488769,0.000011374082,0.0000375669,0.0000018402008,0.0000044898684,0.0000013952939,0.0000017331027,0.99864787,0.000101670914,0.0011214513,0.000056863744,0.0000023086154],"about_ca_topic_score_codex":0.01544445,"about_ca_topic_score_gemma":0.01223509,"teacher_disagreement_score":0.01544445,"about_ca_system_score_codex":0.002142398,"about_ca_system_score_gemma":0.0020744374,"threshold_uncertainty_score":0.030709147},"labels":[],"label_agreement":null},{"id":"W2312000204","doi":"10.14796/jwmm.r207-07","title":"A Case in Support of Continuous Modeling for Stormwater Management System Design","year":2001,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Urban Stormwater Management Solutions","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Philips (Canada)","funders":"","keywords":"Stormwater management; Stormwater; Storm; Environmental science; Low-impact development; Computer science; Civil engineering; Engineering; Surface runoff; Meteorology; Geography","score_opus":0.041919304744411086,"score_gpt":0.23388979144231822,"score_spread":0.19197048669790714,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2312000204","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":[0.08686066,0.0008904816,0.84420836,0.00785703,0.00026021007,0.000296353,0.00019203364,0.0011481399,0.058286805],"genre_scores_gemma":[0.5871182,0.00045586345,0.402968,0.00043334684,0.00010469417,0.0003289054,0.000121584104,0.00013356254,0.008335838],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99582136,0.0025580619,0.00012892354,0.0002924398,0.00097511266,0.00022410143],"domain_scores_gemma":[0.9904598,0.0062754294,0.00040651366,0.0013544777,0.0011466332,0.00035722405],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005842231,0.0005478327,0.0003538678,0.00039126351,0.0013821648,0.0037405714,0.0020585086,0.0020808736,0.0039069736],"category_scores_gemma":[0.011232956,0.0004738701,0.00079384184,0.000700047,0.0017914728,0.0025501386,0.001478014,0.0028720787,0.0005200352],"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":[0.00034198634,0.00038690146,0.0075111827,0.0004197183,0.000053347965,0.000822766,0.0017361621,0.40497118,0.0055002687,0.40457076,0.012328812,0.16135693],"study_design_scores_gemma":[0.000056430283,0.00036147374,0.0009035582,0.00015557605,0.000021881575,0.00011609991,0.00045682298,0.9102634,0.0028805654,0.03556441,0.049185976,0.000033829074],"about_ca_topic_score_codex":0.007002244,"about_ca_topic_score_gemma":0.011234705,"teacher_disagreement_score":0.007002244,"about_ca_system_score_codex":0.0019507664,"about_ca_system_score_gemma":0.0030121172,"threshold_uncertainty_score":0.030897021},"labels":[],"label_agreement":null},{"id":"W2313373523","doi":"10.14796/jwmm.r206-14","title":"Characterization of Urban Runoff Quality: A Toronto Case Study","year":2000,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Hydrology and Drought Analysis","field":"Environmental Science","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"University of Toronto; Toronto Metropolitan University","funders":"","keywords":"Surface runoff; Quality (philosophy); Environmental planning; Geography; Environmental science","score_opus":0.01743925598834874,"score_gpt":0.25647782398265717,"score_spread":0.23903856799430842,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2313373523","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":[0.98516697,0.00041647028,0.0023951954,0.0003341495,0.0000051378634,0.00013024283,0.0020905575,0.000046831687,0.00941438],"genre_scores_gemma":[0.99359,0.0004853413,0.0018827,0.000027323953,0.0000052826426,0.000027787402,0.000819351,0.000011849029,0.0031502917],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99949145,0.0000933633,0.00002632037,0.0000551428,0.00022559891,0.00010808231],"domain_scores_gemma":[0.9993838,0.0001949129,0.000077278535,0.000040202147,0.00022127469,0.00008251401],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041540051,0.0004475995,0.00026298797,0.000890055,0.0016132041,0.00091130636,0.0004262489,0.0005434272,0.0013094],"category_scores_gemma":[0.0011122952,0.00016684277,0.00028891367,0.00323923,0.00070363004,0.0003745049,0.00045893938,0.0002999007,0.00012121723],"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":[0.0009799526,0.0009675282,0.58694,0.0006890019,0.0002745932,0.025384892,0.015193485,0.2034315,0.01753112,0.016533785,0.019352501,0.11272164],"study_design_scores_gemma":[0.000087702145,0.00054694945,0.83500797,0.000110538305,0.00018736752,0.00213903,0.020636061,0.11239792,0.007003683,0.0015502584,0.020188391,0.00014417958],"about_ca_topic_score_codex":0.83541715,"about_ca_topic_score_gemma":0.9379832,"teacher_disagreement_score":0.16458285,"about_ca_system_score_codex":0.015565027,"about_ca_system_score_gemma":0.0042024474,"threshold_uncertainty_score":0.33110416},"labels":[],"label_agreement":null},{"id":"W2313837706","doi":"10.14796/jwmm.r208-19","title":"Loss in Carrying Capacity of Water Mains due to Encrustation and Biofouling, and Application to Walkerton, Ontario","year":2002,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Aquatic Invertebrate Ecology and Behavior","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"University of Guelph","funders":"Health Canada","keywords":"Biofouling; Mains electricity; Environmental science; Carrying capacity; Environmental engineering; Chemistry; Engineering; Electrical engineering; Membrane; Ecology; Biology","score_opus":0.018801148951177314,"score_gpt":0.2131558666255592,"score_spread":0.19435471767438187,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2313837706","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":[0.9897294,0.0004901999,0.00049825903,0.00029257245,0.000023714929,0.00006240888,0.000607574,0.000045845405,0.008249973],"genre_scores_gemma":[0.97622925,0.00067223684,0.000550881,0.000054480508,0.0000043045316,0.00003136158,0.00051195396,0.000015102484,0.021930384],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9997758,0.000008882182,0.0000051636175,0.000030765565,0.0001200872,0.00005932192],"domain_scores_gemma":[0.99970824,0.000024791656,0.000037761612,0.000012608042,0.00013268847,0.00008395167],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014117772,0.00028716002,0.00013864049,0.00035801283,0.0013622404,0.0005139945,0.0003784623,0.0002760668,0.003593688],"category_scores_gemma":[0.00037355715,0.00012489418,0.00029576078,0.00059089286,0.0005492433,0.00020068244,0.0003730139,0.0002685694,0.0002944974],"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":[0.0025127851,0.00058202056,0.22957379,0.00077475887,0.00016688214,0.002598226,0.003799495,0.012281796,0.57388896,0.0017293695,0.016849082,0.15524285],"study_design_scores_gemma":[0.00013362976,0.0017473883,0.8624102,0.000065063796,0.000115579656,0.00046490293,0.0027043414,0.0076305713,0.077308446,0.0004606201,0.046889126,0.00007013336],"about_ca_topic_score_codex":0.908016,"about_ca_topic_score_gemma":0.96971816,"teacher_disagreement_score":0.091983974,"about_ca_system_score_codex":0.013769323,"about_ca_system_score_gemma":0.006264248,"threshold_uncertainty_score":0.18505132},"labels":[],"label_agreement":null},{"id":"W2315961781","doi":"10.14796/jwmm.r236-25","title":"A Method to Assess the Impacts of Climate Change on the Reliability of Stormwater Infrastructure Components","year":2010,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","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":true,"route_about_ca":false,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Stormwater management; Stormwater; Climate change; Environmental planning; Reliability (semiconductor); Environmental science; Environmental resource management; Drainage; Green infrastructure; Low-impact development; Business; Surface runoff; Geology; Ecology","score_opus":0.02962382383488869,"score_gpt":0.28196006912376903,"score_spread":0.2523362452888803,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2315961781","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":[0.028346075,0.0003571912,0.9630787,0.00012770854,0.000102153965,0.00029588846,0.0015680153,0.0015221456,0.0046021445],"genre_scores_gemma":[0.34638864,0.00042652158,0.64508426,0.00007462518,0.00009231393,0.00109092,0.0014352282,0.0002665469,0.0051408964],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9980167,0.0003808183,0.00014511599,0.00044125985,0.0009214678,0.000094638744],"domain_scores_gemma":[0.9929491,0.0035217,0.0008734547,0.00094500365,0.0015778317,0.00013283273],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028125031,0.0009987858,0.0006282209,0.0056131016,0.000803557,0.0013114561,0.0011183195,0.0009994388,0.0044366247],"category_scores_gemma":[0.012786612,0.0004225818,0.0009168762,0.0033244197,0.00076123874,0.0018425427,0.0010593983,0.0010197375,0.0012720289],"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":[0.0006825967,0.0003232072,0.109934546,0.0008022463,0.00054616743,0.0002766276,0.0010306524,0.06297363,0.056627277,0.041597184,0.009847408,0.71535844],"study_design_scores_gemma":[0.00013213964,0.00063009193,0.075089656,0.00018443096,0.00027325764,0.0018107215,0.00074097153,0.78153795,0.051687837,0.045918945,0.041652136,0.00034176657],"about_ca_topic_score_codex":0.0047890157,"about_ca_topic_score_gemma":0.0043373443,"teacher_disagreement_score":0.0056131016,"about_ca_system_score_codex":0.00090409827,"about_ca_system_score_gemma":0.001064709,"threshold_uncertainty_score":0.014874101},"labels":[],"label_agreement":null},{"id":"W2316426821","doi":"10.14796/jwmm.r206-12","title":"Stormwater Two-Ramp Drop Structures","year":2000,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Hydraulic flow and structures","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Stormwater; Drop (telecommunication); Environmental science; Stormwater management; Geology; Hydrology (agriculture); Computer science; Geotechnical engineering; Surface runoff; Telecommunications; Biology","score_opus":0.007060851598212493,"score_gpt":0.20052009556152253,"score_spread":0.19345924396331005,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2316426821","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":[0.7076256,0.0006429984,0.19986853,0.00043501472,0.00027705583,0.00037653671,0.0020907887,0.0013279226,0.087355554],"genre_scores_gemma":[0.96565306,0.00024139031,0.0155362245,0.00006004475,0.00001965275,0.000065082124,0.0010277042,0.000042223604,0.017354472],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997547,0.000014440377,0.000013155161,0.000033778466,0.00013022369,0.000053629537],"domain_scores_gemma":[0.9998117,0.000023684457,0.000025624908,0.00004221156,0.0000639753,0.000032821205],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013919671,0.00025775662,0.00030148457,0.00041103698,0.00040056944,0.00075062184,0.00079852826,0.0005293097,0.008669906],"category_scores_gemma":[0.0003557446,0.00016395986,0.00032211727,0.0004478035,0.0003403891,0.00062617956,0.00066698325,0.00052571483,0.0011887426],"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":[0.0013308508,0.0007156532,0.014418438,0.00061313604,0.00008121706,0.0026892333,0.0005670525,0.27373207,0.32448113,0.06897743,0.017346483,0.2950473],"study_design_scores_gemma":[0.00023237677,0.0015494466,0.017751515,0.000112140755,0.000055341745,0.0014462087,0.0003295519,0.7187544,0.18373513,0.007997088,0.06790365,0.00013308601],"about_ca_topic_score_codex":0.0013853599,"about_ca_topic_score_gemma":0.0020654916,"teacher_disagreement_score":0.008669906,"about_ca_system_score_codex":0.0005287016,"about_ca_system_score_gemma":0.00043179572,"threshold_uncertainty_score":0.02900374},"labels":[],"label_agreement":null},{"id":"W2317379274","doi":"10.14796/jwmm.r246-15","title":"Shades of Green: Using SWMM LID Controls to Simulate Green Infrastructure","year":2013,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Urban Stormwater Management Solutions","field":"Environmental Science","cited_by":29,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Green infrastructure; Storm Water Management Model; Low-impact development; Stormwater management; Environmental planning; Business; Urban infrastructure; Storm; Urban planning; Stormwater; Civil engineering; Engineering; Environmental science; Geography; Meteorology; Surface runoff; Ecology","score_opus":0.016835919776643407,"score_gpt":0.22549176069679566,"score_spread":0.20865584092015227,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2317379274","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":[0.8856591,0.00014116568,0.07971809,0.0003958202,0.00019820733,0.00019781417,0.0014642718,0.0019018351,0.030323733],"genre_scores_gemma":[0.97660565,0.00006433372,0.020174537,0.00006853927,0.000008702305,0.00007705277,0.00040785197,0.00010238086,0.0024907987],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998584,0.00004037362,0.0000070138226,0.000020385465,0.000037651196,0.00003620241],"domain_scores_gemma":[0.9995433,0.00021597152,0.00004796624,0.00004405598,0.00009384485,0.000054821656],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003112594,0.00056048395,0.00036094946,0.00037747994,0.0003867303,0.00074389565,0.0008693053,0.0007243165,0.0033879909],"category_scores_gemma":[0.0010187262,0.00028614033,0.0004960499,0.00027267614,0.00048818768,0.0005316685,0.0007289706,0.0005731846,0.00020160513],"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":[0.0000786147,0.00010942356,0.002827739,0.000030167075,0.00001135535,0.00007596569,0.000076583034,0.9861755,0.0031006255,0.0018954963,0.0007250609,0.0048935027],"study_design_scores_gemma":[0.000027651136,0.000041422863,0.0005169996,0.000005306841,0.0000057494894,0.000005581468,0.000029760919,0.9964959,0.0012778101,0.00055282976,0.0010331944,0.000007835796],"about_ca_topic_score_codex":0.02263085,"about_ca_topic_score_gemma":0.022944812,"teacher_disagreement_score":0.02263085,"about_ca_system_score_codex":0.0008661436,"about_ca_system_score_gemma":0.0007556605,"threshold_uncertainty_score":0.04499823},"labels":[],"label_agreement":null},{"id":"W2318436030","doi":"10.14796/jwmm.r241-20","title":"Advances in Floodplain Modeling and Mapping","year":2011,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Flood Risk Assessment and Management","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Floodplain; Computer science; Environmental science; Geography; Geology; Cartography","score_opus":0.021949445476553593,"score_gpt":0.221646873015835,"score_spread":0.1996974275392814,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2318436030","genre_codex":"methods","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0058766366,0.003732334,0.9694053,0.0016124089,0.00019930549,0.000048182646,0.00067052327,0.002620877,0.015834495],"genre_scores_gemma":[0.15748608,0.030175986,0.7923215,0.00031292925,0.0005909353,0.00023916019,0.0023834913,0.0013143083,0.015175634],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992661,0.00021262385,0.00005881096,0.000118510594,0.00030835145,0.000035493314],"domain_scores_gemma":[0.99882835,0.000489709,0.00008414113,0.00024932,0.00030421038,0.000044169516],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001555182,0.0012120445,0.0008642417,0.0015471869,0.0005387767,0.002885623,0.0019702888,0.0013190001,0.0049134004],"category_scores_gemma":[0.003921542,0.00080949935,0.0013335801,0.0027846724,0.0006361427,0.0057984213,0.0014211464,0.00158389,0.002261509],"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":[0.000021455968,0.000042460422,0.0032753006,0.00032293837,0.00007495257,0.00013071424,0.00029045643,0.5960749,0.0024528524,0.07578624,0.012967071,0.3085607],"study_design_scores_gemma":[0.000010700047,0.000018878196,0.0016302807,0.00012115627,0.000042126907,0.00018775935,0.0001067338,0.7327437,0.002410995,0.055711694,0.20695,0.000066052315],"about_ca_topic_score_codex":0.011147346,"about_ca_topic_score_gemma":0.008074864,"teacher_disagreement_score":0.011147346,"about_ca_system_score_codex":0.00092982245,"about_ca_system_score_gemma":0.0016961342,"threshold_uncertainty_score":0.02216494},"labels":[],"label_agreement":null},{"id":"W2318947070","doi":"10.14796/jwmm.r228-25","title":"Determining Peak Flow Recurrence in Combined Basins with Limited Flow Data Using Genetic Algorithm Calibration","year":2008,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Sanitary sewer; Flow (mathematics); Plan (archaeology); Calibration; Trunk; Environmental science; Algorithm; Computer science; Genetic algorithm; Hydrology (agriculture); Geography; Engineering; Mathematics; Ecology; Statistics; Machine learning; Archaeology; Environmental engineering; Biology; Geotechnical engineering","score_opus":0.04826619461710511,"score_gpt":0.23817359474725572,"score_spread":0.18990740013015062,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2318947070","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":[0.9005929,0.000037027916,0.09762319,0.0000645497,0.000005548092,0.00008144973,0.00018064158,0.00040659826,0.0010079516],"genre_scores_gemma":[0.9559676,0.000012084509,0.04343556,0.000011421236,0.0000026307348,0.000058405247,0.00025412845,0.000022303297,0.00023585896],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995222,0.00018292242,0.000024553465,0.00015971829,0.000064419866,0.00004616877],"domain_scores_gemma":[0.9977163,0.0014566054,0.00023353998,0.0001795973,0.0003500862,0.000063895495],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020438782,0.00046048537,0.00054962665,0.0013005957,0.00037332944,0.00064943667,0.0007503044,0.00062809075,0.00053830363],"category_scores_gemma":[0.006310712,0.00045991008,0.00057424157,0.001127603,0.000260377,0.0006966661,0.00048796574,0.0005075925,0.00008281267],"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":[0.00008441189,0.00010327902,0.038172096,0.000013220532,0.000066788416,0.000039825696,0.000068657544,0.92616796,0.0011927446,0.0003095265,0.0001465232,0.03363487],"study_design_scores_gemma":[0.0000120065215,0.000020396044,0.005901944,0.0000026764303,0.000008397041,0.000006016136,0.000016113378,0.993185,0.0005551063,0.00022914303,0.000058611764,0.0000046495393],"about_ca_topic_score_codex":0.03051196,"about_ca_topic_score_gemma":0.03245113,"teacher_disagreement_score":0.03051196,"about_ca_system_score_codex":0.0012673591,"about_ca_system_score_gemma":0.0013476901,"threshold_uncertainty_score":0.060668766},"labels":[],"label_agreement":null},{"id":"W2320041348","doi":"10.14796/jwmm.r220-34","title":"Sewer Assessment,I/I Assessment and Recalibration Saves Millions","year":2004,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Underground infrastructure and sustainability","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Combined sewer; Sanitary sewer; Metropolitan area; Environmental science; Water resource management; Basement; Sewerage; Environmental engineering; Civil engineering; Geography; Engineering; Stormwater; Archaeology","score_opus":0.008744623017341949,"score_gpt":0.2425432893954796,"score_spread":0.23379866637813765,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2320041348","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":[0.35361752,0.011576665,0.053258874,0.0728948,0.0059797643,0.00052316865,0.02014549,0.010468815,0.4715349],"genre_scores_gemma":[0.58022934,0.0073376046,0.030029915,0.0023319738,0.0009902895,0.00025812298,0.010533171,0.00059625035,0.3676934],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99929,0.00019926882,0.000034639954,0.000054024054,0.00030372408,0.00011831264],"domain_scores_gemma":[0.9988005,0.00018506624,0.00014353564,0.00023138423,0.00045538688,0.00018395574],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005664652,0.000591347,0.0005022091,0.0010006455,0.00058298727,0.0016637556,0.00060332054,0.0007050114,0.03819696],"category_scores_gemma":[0.0024926127,0.00020026918,0.00049460534,0.0009296533,0.00021429398,0.0010791019,0.001157155,0.0006175328,0.011379252],"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":[0.0003650511,0.00022957621,0.015176055,0.00013059295,0.00004863576,0.00024747328,0.0001459896,0.001981353,0.0019292446,0.0042138495,0.33668053,0.63885164],"study_design_scores_gemma":[0.000082531864,0.00055954664,0.04428637,0.0002105217,0.0001424552,0.001039771,0.0013809109,0.009858724,0.0048787044,0.0069370735,0.9305718,0.00005158633],"about_ca_topic_score_codex":0.0063877273,"about_ca_topic_score_gemma":0.012705943,"teacher_disagreement_score":0.03819696,"about_ca_system_score_codex":0.0007450485,"about_ca_system_score_gemma":0.0016352681,"threshold_uncertainty_score":0.12778151},"labels":[],"label_agreement":null},{"id":"W2321541788","doi":"10.14796/jwmm.r228-09","title":"Integrating Sewer Inspection Data into SWMM Model Calibration","year":2008,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Infrastructure Maintenance and Monitoring","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Calibration; Computer science; Sanitary sewer; Civil engineering; Engineering; Mathematics; Environmental engineering; Statistics","score_opus":0.026810148882051507,"score_gpt":0.2292152611888588,"score_spread":0.2024051123068073,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2321541788","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":[0.3337158,0.00009204359,0.63952166,0.0005827246,0.00025929266,0.00035421443,0.003943235,0.011348197,0.010182883],"genre_scores_gemma":[0.8905052,0.000072203096,0.10356204,0.00012976113,0.00001812374,0.0002787047,0.0023606163,0.0007529321,0.0023203997],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993333,0.00016113128,0.00006021852,0.00017671564,0.00018911526,0.00007953743],"domain_scores_gemma":[0.9975961,0.00063143,0.00021091186,0.00051375595,0.0009838062,0.00006385429],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014987919,0.0010406303,0.0008464879,0.0007445939,0.0006742567,0.0009590078,0.0014853998,0.0013888506,0.003236354],"category_scores_gemma":[0.006324401,0.0013558005,0.0010409078,0.0011155407,0.0003116582,0.0022305471,0.00074185437,0.0013140072,0.0014074034],"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":[0.00003323361,0.0000621116,0.005699591,0.00003661133,0.000044744942,0.00003109635,0.000041153016,0.9707855,0.0036667236,0.000405287,0.0012782511,0.017915558],"study_design_scores_gemma":[0.000026795045,0.000023531162,0.003200786,0.000008031296,0.000016106515,0.000011880754,0.000026760623,0.9895878,0.0048762634,0.0005927458,0.0016028552,0.000026446252],"about_ca_topic_score_codex":0.035451584,"about_ca_topic_score_gemma":0.032613665,"teacher_disagreement_score":0.035451584,"about_ca_system_score_codex":0.0016161404,"about_ca_system_score_gemma":0.0021994202,"threshold_uncertainty_score":0.07049048},"labels":[],"label_agreement":null},{"id":"W2321657640","doi":"10.14796/jwmm.r206-17","title":"SWMM Storage-Treatment for Analysis/Design of Extended-Detention Ponds","year":2000,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Urban Stormwater Management Solutions","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Storm Water Management Model; Block (permutation group theory); Environmental science; Stormwater management; Detention basin; Water storage; Hydrology (agriculture); Civil engineering; Environmental engineering; Water resource management; Computer science; Engineering; Stormwater; Surface runoff; Mathematics; Geotechnical engineering; Ecology; Inlet","score_opus":0.0378669835156074,"score_gpt":0.2546203273118929,"score_spread":0.21675334379628547,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2321657640","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":[0.0962365,0.000058799968,0.8912491,0.00011580471,0.000032230666,0.00031284543,0.0006747399,0.00212028,0.009199647],"genre_scores_gemma":[0.75174755,0.000113935064,0.23855658,0.00005094607,0.000009596385,0.00064882904,0.0005540934,0.00025733392,0.008061117],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998246,0.000043615073,0.000011117542,0.000033537992,0.00006068968,0.000026543035],"domain_scores_gemma":[0.9997782,0.00007046685,0.000031027317,0.000032440246,0.000075929085,0.000012013496],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040917704,0.0004932868,0.000511322,0.00023058716,0.0004946353,0.00057895965,0.0011600632,0.00046411483,0.004524588],"category_scores_gemma":[0.00063486927,0.0004921451,0.00066555676,0.00019060823,0.00027716233,0.00070228986,0.00060691213,0.0005854978,0.00053307257],"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":[0.000047913927,0.000035629877,0.0009686843,0.000048388603,0.000010646609,0.000021540673,0.000023204599,0.9724912,0.0062449723,0.002324796,0.0004842771,0.017298667],"study_design_scores_gemma":[0.0000115982975,0.000028370083,0.0002044281,0.0000034848058,0.0000048572533,0.0000055587334,0.0000068359645,0.99356395,0.004009995,0.0008864329,0.0012699278,0.000004453969],"about_ca_topic_score_codex":0.00611281,"about_ca_topic_score_gemma":0.009784056,"teacher_disagreement_score":0.00611281,"about_ca_system_score_codex":0.00084758434,"about_ca_system_score_gemma":0.00146605,"threshold_uncertainty_score":0.015136242},"labels":[],"label_agreement":null},{"id":"W2323279101","doi":"10.14796/jwmm.r246-01","title":"A Strategy for Managing Deficiencies of SWMM Modeling for Large Undeveloped Semi-Arid Watersheds","year":2013,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"University of Cape Town","keywords":"Arid; Water resource management; Computer science; Business; Environmental science; Environmental planning; Environmental resource management; Ecology; Biology","score_opus":0.03320791689696889,"score_gpt":0.2468667821215118,"score_spread":0.21365886522454292,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2323279101","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":[0.36925462,0.000201179,0.60119617,0.009130927,0.00014543459,0.00085653976,0.0013545565,0.0083707115,0.009489985],"genre_scores_gemma":[0.52124363,0.00012394956,0.4746216,0.00046898384,0.000037491773,0.0002802243,0.0008040396,0.00035613362,0.0020639985],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99797326,0.0009690493,0.0002742214,0.00026163892,0.0004232147,0.000098658995],"domain_scores_gemma":[0.9820134,0.006172376,0.0020897663,0.0037040545,0.0053434684,0.0006769496],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008540983,0.00077701715,0.0006613898,0.0015812379,0.0013093618,0.003016882,0.0026740027,0.0010045718,0.0022564759],"category_scores_gemma":[0.031400654,0.0006662828,0.0005805643,0.0013874017,0.00044360038,0.0042873286,0.0022474034,0.0015988697,0.0004789547],"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":[0.0005333721,0.0014149885,0.17829666,0.0005684375,0.00056972646,0.0011679241,0.0023275784,0.30371892,0.03469567,0.020566912,0.017898448,0.43824133],"study_design_scores_gemma":[0.00015785069,0.0002732315,0.021804513,0.00021647605,0.00022687014,0.00033866425,0.0018832778,0.9184813,0.023816353,0.011417326,0.021236278,0.00014789129],"about_ca_topic_score_codex":0.018327424,"about_ca_topic_score_gemma":0.026531018,"teacher_disagreement_score":0.018327424,"about_ca_system_score_codex":0.0013574538,"about_ca_system_score_gemma":0.005789148,"threshold_uncertainty_score":0.045169592},"labels":[],"label_agreement":null},{"id":"W2325333416","doi":"10.14796/jwmm.r241-11","title":"A Detailed Procedure for Separating RDII Stages and Generating a Single Set of RTK Hydrographs for Continuous Simulation","year":2011,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Hydrograph; Set (abstract data type); Computer science; Cartography; Geography; Programming language","score_opus":0.04135593409986324,"score_gpt":0.2566729609455896,"score_spread":0.21531702684572637,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2325333416","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":[0.01995825,0.000011266043,0.9707794,0.000037399863,0.000024754645,0.00027140498,0.0010765564,0.0053484063,0.002492466],"genre_scores_gemma":[0.18151537,0.000038042414,0.81185496,0.000032301607,0.000011815273,0.001026015,0.0019666138,0.0011833197,0.0023716225],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998211,0.000032247277,0.000015283435,0.000045006876,0.000065845015,0.000020580394],"domain_scores_gemma":[0.99940395,0.00021455296,0.00004433508,0.0001440079,0.00017052992,0.000022693128],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00060784473,0.00049661595,0.0003644415,0.00037159916,0.00062468037,0.000680281,0.0008709129,0.0003810541,0.010694676],"category_scores_gemma":[0.0020417725,0.00049375114,0.0005259407,0.00046805272,0.00021747597,0.00045392802,0.0005089544,0.0012480143,0.002027669],"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":[0.0001126631,0.00022948446,0.0068170186,0.00015258632,0.00007711775,0.00015990558,0.00033485587,0.7869205,0.028000433,0.014594129,0.0059765344,0.15662482],"study_design_scores_gemma":[0.000034509667,0.000043690343,0.0018239091,0.000013964218,0.000011879772,0.000054614226,0.00003709642,0.9697603,0.015318219,0.003658132,0.009200982,0.000042634485],"about_ca_topic_score_codex":0.0063224956,"about_ca_topic_score_gemma":0.007658946,"teacher_disagreement_score":0.010694676,"about_ca_system_score_codex":0.00050246937,"about_ca_system_score_gemma":0.0009820089,"threshold_uncertainty_score":0.03577727},"labels":[],"label_agreement":null},{"id":"W2325513659","doi":"10.14796/jwmm.r207-26","title":"Stormwater Management Model for Environmental Design of Permeable Pavement","year":2001,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Urban Stormwater Management Solutions","field":"Environmental Science","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Stormwater management; Stormwater; Environmental science; Civil engineering; Engineering; Surface runoff","score_opus":0.03705530754186967,"score_gpt":0.218716645813318,"score_spread":0.18166133827144834,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2325513659","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":[0.04991973,0.00014033179,0.89346844,0.00037777403,0.00009415169,0.00026984446,0.0028452831,0.0022427617,0.05064165],"genre_scores_gemma":[0.6294448,0.0005942802,0.2746207,0.00016537652,0.000056569388,0.0015397214,0.0035185583,0.0005858959,0.08947408],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998586,0.000027684844,0.000007225392,0.000023862369,0.00006118917,0.00002141503],"domain_scores_gemma":[0.9998646,0.000037878977,0.00001584594,0.00001208659,0.00006157284,0.00000795196],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022359431,0.00052252354,0.00040214256,0.00030988525,0.00044140161,0.0006053016,0.001318288,0.0008308657,0.0098678935],"category_scores_gemma":[0.00056762045,0.00029114736,0.00068313937,0.0003283422,0.00019351703,0.00065512914,0.00042061994,0.0005277037,0.0013677907],"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":[0.000020401794,0.000021567834,0.00038992506,0.000023080174,0.0000063365974,0.0000409188,0.000025169322,0.97935176,0.0015230991,0.009173785,0.0016322496,0.0077916286],"study_design_scores_gemma":[0.000009461193,0.000009803093,0.000109035616,0.0000026233674,0.000004114011,0.000009167147,0.0000061184937,0.9928878,0.0004993138,0.001902053,0.004557265,0.0000033250099],"about_ca_topic_score_codex":0.01405935,"about_ca_topic_score_gemma":0.012794018,"teacher_disagreement_score":0.01405935,"about_ca_system_score_codex":0.00084344967,"about_ca_system_score_gemma":0.0013388781,"threshold_uncertainty_score":0.033011436},"labels":[],"label_agreement":null},{"id":"W2326727278","doi":"10.14796/jwmm.r245-13","title":"Developing a Plan to Control Combined Sewer Floatables in Ottawa, ON","year":2012,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Urban Stormwater Management Solutions","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Plan (archaeology); Environmental planning; Nuisance; Urban runoff; Combined sewer; Surface runoff; Control (management); Environmental science; Geography; Water resource management; Political science; Stormwater; Archaeology; Management; Economics; Ecology","score_opus":0.028137329404777277,"score_gpt":0.2304920933502114,"score_spread":0.2023547639454341,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2326727278","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":[0.8314867,0.0013255837,0.011693841,0.017902054,0.0004397953,0.0040207985,0.005324763,0.0008011086,0.12700544],"genre_scores_gemma":[0.9078411,0.0008052722,0.014636035,0.0015429785,0.000026598691,0.0005437039,0.0015231767,0.00005361561,0.07302743],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99950373,0.00004460543,0.000014945137,0.000053344687,0.00011714077,0.00026629493],"domain_scores_gemma":[0.99919754,0.000026727555,0.000048549715,0.000017150816,0.00032777264,0.00038215492],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031981952,0.00038779946,0.00016665802,0.00046284153,0.003071101,0.0016742295,0.0015347558,0.000965927,0.006313527],"category_scores_gemma":[0.00061844575,0.00028384465,0.00046755173,0.0004088538,0.00077186193,0.00054733973,0.0010602509,0.0007286328,0.0004916476],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011510876,0.0016687323,0.42915326,0.0015679473,0.00034565295,0.007876212,0.010627012,0.073149756,0.058314793,0.01955321,0.17810799,0.21848439],"study_design_scores_gemma":[0.00019144182,0.0013655672,0.5484394,0.00054364407,0.0002598065,0.00063036603,0.048076414,0.03605077,0.010817681,0.0018525429,0.35157192,0.00020045355],"about_ca_topic_score_codex":0.9534687,"about_ca_topic_score_gemma":0.98464763,"teacher_disagreement_score":0.04653132,"about_ca_system_score_codex":0.018340195,"about_ca_system_score_gemma":0.06446802,"threshold_uncertainty_score":0.13306803},"labels":[],"label_agreement":null},{"id":"W2327696940","doi":"10.14796/jwmm.r207-23","title":"Modeling Siphon Weirs within EXTRAN","year":2001,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Water Systems and Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"University of Guelph","keywords":"Siphon (mollusc); Geology; Environmental science; Hydrology (agriculture); Geotechnical engineering; Biology; Anatomy","score_opus":0.015947144319195795,"score_gpt":0.1917507044681957,"score_spread":0.1758035601489999,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2327696940","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":[0.55710584,0.00021112525,0.41176513,0.0001460584,0.000115542585,0.0001767664,0.0008766309,0.0029111162,0.026691819],"genre_scores_gemma":[0.9286076,0.00018687714,0.06057807,0.000029822675,0.00001781089,0.0001816534,0.000485664,0.00027250894,0.009640053],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998293,0.000031975604,0.000009935381,0.000035591507,0.00006280414,0.000030433303],"domain_scores_gemma":[0.9997669,0.00008149095,0.000039336308,0.000037155176,0.000048161484,0.00002694541],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022026502,0.00041881506,0.00058745086,0.00029457186,0.00040973772,0.00053700426,0.0011117804,0.00077173,0.0027952217],"category_scores_gemma":[0.00072678184,0.00042445952,0.00050092686,0.00025907476,0.00036648876,0.0007370706,0.00077214045,0.00048820232,0.00031013082],"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":[0.000015121354,0.000016863893,0.0010275267,0.00001889209,0.000006609301,0.000051626554,0.00002898836,0.99157554,0.0022735698,0.0016350925,0.00016899515,0.003181187],"study_design_scores_gemma":[0.000007627745,0.00001218679,0.0002796956,0.0000028240836,0.0000033870292,0.000012598871,0.0000060679804,0.99738175,0.00095008034,0.0004031306,0.00093573437,0.0000048867455],"about_ca_topic_score_codex":0.010568374,"about_ca_topic_score_gemma":0.010271074,"teacher_disagreement_score":0.010568374,"about_ca_system_score_codex":0.0008398656,"about_ca_system_score_gemma":0.0010440472,"threshold_uncertainty_score":0.021013737},"labels":[],"label_agreement":null},{"id":"W2327732527","doi":"10.14796/jwmm.r206-11","title":"Environmental Modeling of a Claypan Watershed using HSPF","year":2000,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Pesticide and Herbicide Environmental Studies","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Watershed; Environmental science; Computer science","score_opus":0.02126711376099511,"score_gpt":0.21580034498657608,"score_spread":0.19453323122558097,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2327732527","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":[0.9489907,0.000057196175,0.03880992,0.00013759606,0.000008769577,0.000056619814,0.001108827,0.00073096337,0.010099312],"genre_scores_gemma":[0.9914587,0.000048301677,0.006203789,0.000011433594,0.000004426883,0.000036739286,0.00043928917,0.000023941044,0.0017734556],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99988353,0.00003115881,0.0000058190526,0.000024867615,0.00002296847,0.000031594725],"domain_scores_gemma":[0.9998586,0.000047966823,0.000019226962,0.000012227545,0.000039275437,0.000022627584],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014795679,0.0002608424,0.00022869586,0.00040005063,0.00048182442,0.0006362852,0.00058817613,0.00047799374,0.0020362118],"category_scores_gemma":[0.0005206753,0.0001848563,0.00027243161,0.00065426435,0.00029678218,0.0005900852,0.00045312135,0.00025257005,0.00014644847],"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":[0.00003234715,0.000049700124,0.0062439195,0.000009799853,0.000008727332,0.00014251858,0.000049966264,0.98529196,0.00097257236,0.001253611,0.0003721056,0.0055727605],"study_design_scores_gemma":[0.000008484016,0.000013558207,0.002193175,0.0000015556759,0.0000027959231,0.000011166651,0.000020587404,0.9966198,0.00022187183,0.00038982002,0.0005127847,0.0000043886234],"about_ca_topic_score_codex":0.06507082,"about_ca_topic_score_gemma":0.039204895,"teacher_disagreement_score":0.06507082,"about_ca_system_score_codex":0.0011411618,"about_ca_system_score_gemma":0.00089564547,"threshold_uncertainty_score":0.1293841},"labels":[],"label_agreement":null},{"id":"W2329406443","doi":"10.14796/jwmm.r215-14","title":"Using Annual Hydrographs to Determine Effective Impervious Area","year":2003,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Kerr Wood Leidal Associates (Canada)","funders":"","keywords":"Impervious surface; Hydrograph; Environmental science; Hydrology (agriculture); Physical geography; Geography; Geology; Cartography; Geotechnical engineering; Ecology","score_opus":0.017772771768356326,"score_gpt":0.23367502420688555,"score_spread":0.21590225243852923,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2329406443","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":[0.9453187,0.0001636757,0.036034036,0.000043026408,0.000015110549,0.00010721049,0.007823133,0.0007866202,0.009708406],"genre_scores_gemma":[0.98161316,0.00012914483,0.014094817,0.000008754688,0.0000064715255,0.000056465276,0.0027680339,0.00003806056,0.0012852394],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998721,0.000016999693,0.000012022384,0.000024257042,0.0000573043,0.000017238179],"domain_scores_gemma":[0.9993844,0.00018989576,0.00017104388,0.00005250818,0.0001445261,0.000057630798],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002994707,0.00020482714,0.00015938324,0.0030473901,0.00014718511,0.00039151404,0.0001867667,0.0001380383,0.0016081769],"category_scores_gemma":[0.0010803003,0.00015174944,0.00017894691,0.0018458957,0.00013608109,0.0005267582,0.00021006707,0.00012303951,0.0003396696],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000076097334,0.00012972041,0.73830754,0.00009866942,0.0001480503,0.00012677103,0.00025828287,0.12928894,0.006015007,0.001852355,0.0033479254,0.12035065],"study_design_scores_gemma":[0.000008356315,0.000055827983,0.80365634,0.00001577409,0.000027231488,0.00007729916,0.0001934241,0.18657936,0.0021794825,0.0014542699,0.0057211323,0.000031554155],"about_ca_topic_score_codex":0.014313157,"about_ca_topic_score_gemma":0.03184698,"teacher_disagreement_score":0.014313157,"about_ca_system_score_codex":0.00043982198,"about_ca_system_score_gemma":0.00037789217,"threshold_uncertainty_score":0.028459728},"labels":[],"label_agreement":null},{"id":"W2329707286","doi":"10.14796/jwmm.r246-06","title":"Applications of Radar-Based Rainfall Estimates to Urban Flood Studies","year":2013,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Precipitation Measurement and Analysis","field":"Earth and Planetary Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Division of Chemical, Bioengineering, Environmental, and Transport Systems; National Oceanic and Atmospheric Administration; National Science Foundation","keywords":"Flood myth; Radar; Environmental science; Meteorology; Remote sensing; Geography; Computer science; Telecommunications","score_opus":0.03349560036266505,"score_gpt":0.24620414268070767,"score_spread":0.21270854231804262,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2329707286","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":[0.6657292,0.0053449646,0.29302406,0.0010499726,0.00015484098,0.00028390018,0.0044351052,0.0014200277,0.02855783],"genre_scores_gemma":[0.91541064,0.0020127778,0.0803269,0.00006730427,0.00008571042,0.000050730046,0.00081635406,0.000049516337,0.0011801205],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99945575,0.00034346574,0.000036326663,0.000064780164,0.000078259414,0.000021367243],"domain_scores_gemma":[0.99767894,0.0015233885,0.00023195839,0.00021185957,0.00030784463,0.000046158668],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018606075,0.0003683478,0.00025024163,0.0025179524,0.00019965543,0.0006437761,0.00040549823,0.00028452935,0.0018056106],"category_scores_gemma":[0.005348672,0.0003290843,0.00020436014,0.0024973915,0.0001549596,0.00058968464,0.00053640525,0.00025752373,0.00021838758],"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":[0.00018319052,0.0003754294,0.18997742,0.00027760945,0.00040501406,0.0003013276,0.00044517065,0.22836028,0.010398434,0.006668215,0.003593176,0.5590147],"study_design_scores_gemma":[0.00012358114,0.00019394414,0.15185206,0.00010344102,0.00023776403,0.00021899171,0.0008494572,0.8105517,0.010163652,0.0117696645,0.013848474,0.000087177534],"about_ca_topic_score_codex":0.004214311,"about_ca_topic_score_gemma":0.008427665,"teacher_disagreement_score":0.004214311,"about_ca_system_score_codex":0.0002444215,"about_ca_system_score_gemma":0.0002874254,"threshold_uncertainty_score":0.009839952},"labels":[],"label_agreement":null},{"id":"W2331030990","doi":"10.14796/jwmm.c400","title":"Parameterization and Application of Agricultural Best Management Practices in a Rural Ontario Watershed Using PCSWMM","year":2016,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Watershed; Agriculture; Agricultural productivity; Production (economics); Agricultural management; Agricultural engineering; Best practice; Environmental science; Environmental planning; Environmental resource management; Water resource management; Geography; Agricultural economics; Agroforestry; Business; Computer science; Engineering; Economics; Archaeology; Management","score_opus":0.02148703602092483,"score_gpt":0.2391623286596583,"score_spread":0.21767529263873348,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2331030990","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":[0.9935783,0.000013187266,0.0019168978,0.00004842128,0.00000303131,0.000087591354,0.00068228354,0.00009193952,0.003578323],"genre_scores_gemma":[0.99573404,0.00002338672,0.0027594632,0.0000066492717,0.0000010911629,0.000055294335,0.0005063135,0.000009442872,0.0009043562],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99979347,0.000027044756,0.000012466757,0.00005399584,0.00004482205,0.0000681298],"domain_scores_gemma":[0.99966013,0.00010920659,0.000036725312,0.000032954158,0.00012648183,0.00003454406],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030226394,0.0005700084,0.00036619784,0.0005508581,0.0010232866,0.00087321835,0.0010486111,0.0007115086,0.0017272516],"category_scores_gemma":[0.0011908216,0.00028475214,0.00042034275,0.0011142843,0.0005571494,0.0003852489,0.00042433574,0.00033133515,0.00015436485],"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":[0.00008235573,0.00013002023,0.028370736,0.0000318593,0.000019021101,0.00015063176,0.0001329725,0.9624735,0.0018526893,0.00031712907,0.0004128023,0.0060263025],"study_design_scores_gemma":[0.000027593951,0.00003316188,0.018428752,0.0000037520592,0.000009734662,0.000011206527,0.0002943133,0.97959304,0.00086785835,0.00014384328,0.00057303865,0.000013609816],"about_ca_topic_score_codex":0.8812174,"about_ca_topic_score_gemma":0.85105145,"teacher_disagreement_score":0.11878258,"about_ca_system_score_codex":0.008536901,"about_ca_system_score_gemma":0.0047839163,"threshold_uncertainty_score":0.2389642},"labels":[],"label_agreement":null},{"id":"W2331607781","doi":"10.14796/jwmm.r225-08","title":"Stormwater Quality Modeling of Cross Israel Highway Runoff","year":2006,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Urban Stormwater Management Solutions","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Tel aviv; Stormwater; Surface runoff; Potable water; Metropolitan area; Environmental science; Water resource management; Water quality; Hydrology (agriculture); Water source; Environmental engineering; Geography; Geology; Archaeology; Geotechnical engineering","score_opus":0.029632376264395764,"score_gpt":0.26576384898558125,"score_spread":0.23613147272118548,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2331607781","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":[0.97962826,0.000079446865,0.0056524733,0.00036689013,0.000025063904,0.000040743224,0.0013870628,0.00017039618,0.012649529],"genre_scores_gemma":[0.994169,0.000059629285,0.001213449,0.000035905865,0.0000083846635,0.000033533506,0.00077323447,0.000030471056,0.0036764627],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998698,0.000025944328,0.0000053981503,0.000031259216,0.00002527319,0.000042304167],"domain_scores_gemma":[0.9997235,0.0001036649,0.000024843961,0.000012787429,0.00010559645,0.0000296177],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000267908,0.00055137184,0.00048664722,0.00039892722,0.0005703663,0.000845639,0.0007933499,0.0010364767,0.0021682964],"category_scores_gemma":[0.0006504569,0.0003585549,0.0006838591,0.00051058654,0.00032375488,0.0005261475,0.0003709624,0.00048224602,0.00026014503],"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":[0.000029709663,0.00006692674,0.003756137,0.000007888796,0.000014796827,0.000032948134,0.000023378236,0.99282736,0.00042408987,0.0005385339,0.0005004263,0.0017777856],"study_design_scores_gemma":[0.000013053345,0.000011433621,0.0011679016,0.0000010721166,0.0000036653923,0.0000025653483,0.000025817271,0.9981865,0.00026897292,0.000107227104,0.00020843628,0.000003362408],"about_ca_topic_score_codex":0.18169558,"about_ca_topic_score_gemma":0.08894407,"teacher_disagreement_score":0.18169558,"about_ca_system_score_codex":0.002149562,"about_ca_system_score_gemma":0.0016963079,"threshold_uncertainty_score":0.36127597},"labels":[],"label_agreement":null},{"id":"W2332523707","doi":"10.14796/jwmm.r235-01","title":"The Use of Decision Analysis and Watershed Modeling to Investigate E.coli Potential Sources and Solutions in Lake Tuscaloosa Watershed, Alabama","year":2009,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Water resources management and optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"University of Alabama","keywords":"Watershed; Environmental science; Hydrology (agriculture); Water resource management; Geology; Computer science; Geotechnical engineering","score_opus":0.022591020072195954,"score_gpt":0.200269052849205,"score_spread":0.17767803277700903,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2332523707","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":[0.9804567,0.00018929891,0.0148488935,0.00071829656,0.000021376156,0.00010378889,0.00037709,0.00012862637,0.003155817],"genre_scores_gemma":[0.98980916,0.00012265526,0.0089673465,0.000045269848,0.000008053244,0.00008018423,0.00022295778,0.000008255109,0.00073600706],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990777,0.00064833113,0.000032061937,0.000071379334,0.00007127709,0.00009936518],"domain_scores_gemma":[0.99673176,0.0027196396,0.00014503492,0.00004478385,0.00022513935,0.00013364226],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019362993,0.000887659,0.00075543515,0.0016876013,0.00094970834,0.00209135,0.000683493,0.0012006653,0.0011818019],"category_scores_gemma":[0.0053349934,0.0004886481,0.0008125915,0.0013578669,0.0005579176,0.00072298176,0.00076659844,0.00061290996,0.000055364344],"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":[0.00009779611,0.00016847112,0.009106728,0.000022171515,0.000082953135,0.0000934176,0.000051029674,0.98377496,0.00014669864,0.0012918409,0.00026059398,0.004903212],"study_design_scores_gemma":[0.000017532546,0.000027501665,0.0009166405,0.000003221896,0.000015298692,0.000004414646,0.0000825951,0.99823797,0.0000687112,0.0005021442,0.00011897835,0.0000049783675],"about_ca_topic_score_codex":0.27089295,"about_ca_topic_score_gemma":0.18384588,"teacher_disagreement_score":0.27089295,"about_ca_system_score_codex":0.0040958445,"about_ca_system_score_gemma":0.005880882,"threshold_uncertainty_score":0.5386324},"labels":[],"label_agreement":null},{"id":"W2332978434","doi":"10.14796/jwmm.r220-10","title":"Numerical Modeling of the Transition between Free Surface and Pressurized Flow in Storm Sewers","year":2004,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Urban Stormwater Management Solutions","field":"Environmental Science","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Conselho Nacional de Desenvolvimento Científico e Tecnológico","keywords":"Sanitary sewer; Free surface; Stormwater; Storm; Drainage; Electrical conduit; Flow (mathematics); Open-channel flow; Drainage system (geomorphology); Mechanics; Stormwater management; Environmental science; Hydrology (agriculture); Geology; Geotechnical engineering; Computer science; Surface runoff; Environmental engineering; Physics; Telecommunications","score_opus":0.017893375763927664,"score_gpt":0.2072717872255859,"score_spread":0.18937841146165824,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2332978434","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":[0.94897795,0.000291097,0.035583735,0.0005057181,0.000064026746,0.000058283556,0.0002700325,0.00020730624,0.014041892],"genre_scores_gemma":[0.99399084,0.00009606143,0.0022402126,0.000025446121,0.000009174355,0.00003113754,0.00008454598,0.00002471849,0.0034979046],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998698,0.000028128401,0.000008484516,0.000021744487,0.000025642436,0.000046152993],"domain_scores_gemma":[0.9996902,0.0001350047,0.00004666594,0.00001782207,0.00004935354,0.00006093384],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027368407,0.00034236605,0.00054186414,0.00044225706,0.00068808586,0.0013348471,0.00073886005,0.0016377339,0.002032212],"category_scores_gemma":[0.0011902433,0.0004094281,0.00045255758,0.00039524422,0.0012772024,0.0009047463,0.0007716814,0.0005951421,0.0002463827],"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":[0.000057429523,0.00004995801,0.0015963954,0.000011579324,0.000007660462,0.00008840886,0.000056614426,0.99205494,0.0017385974,0.0030736981,0.00016035853,0.0011043459],"study_design_scores_gemma":[0.00001064742,0.000011513034,0.00036708242,0.0000024955211,0.0000018153727,0.0000049927635,0.00002020849,0.9987729,0.000168998,0.00047403417,0.00016164687,0.0000035578578],"about_ca_topic_score_codex":0.024532126,"about_ca_topic_score_gemma":0.011418339,"teacher_disagreement_score":0.024532126,"about_ca_system_score_codex":0.0012649653,"about_ca_system_score_gemma":0.0009786913,"threshold_uncertainty_score":0.048778713},"labels":[],"label_agreement":null},{"id":"W2333841225","doi":"10.14796/jwmm.r215-11","title":"Model Calibration of a Large Urban Sewer System using Radar Precipitation Information","year":2003,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Precipitation Measurement and Analysis","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Stantec (Canada)","funders":"","keywords":"Radar; Precipitation; Calibration; Environmental science; Remote sensing; Meteorology; Radar systems; Computer science; Geography; Telecommunications; Statistics; Mathematics","score_opus":0.030339337576200665,"score_gpt":0.21892003588417558,"score_spread":0.18858069830797491,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2333841225","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":[0.8762165,0.00007986407,0.10652033,0.00018376767,0.000022970005,0.00020774275,0.0019333501,0.0018298483,0.013005654],"genre_scores_gemma":[0.98318243,0.00006575139,0.013030565,0.000015716758,0.0000037083823,0.00011080031,0.00084601843,0.00007823228,0.0026667872],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99983215,0.000046337853,0.000008353745,0.000044867233,0.00003862327,0.000029649154],"domain_scores_gemma":[0.9997296,0.00009677242,0.000026177077,0.000028973447,0.000100995996,0.000017519269],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031883313,0.00046477158,0.0003931498,0.00028825473,0.00045324903,0.0007342012,0.00095892977,0.00056190277,0.0019994597],"category_scores_gemma":[0.00081994536,0.00038307553,0.0003677024,0.00048402505,0.00029486069,0.0006091017,0.00037781236,0.0004455018,0.000356613],"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":[0.000013500048,0.000013165154,0.0022881264,0.000008080967,0.000007770657,0.000016230986,0.000016591097,0.994612,0.000385816,0.00022844577,0.00015684147,0.002253485],"study_design_scores_gemma":[0.000009845197,0.000007961905,0.0012685765,0.0000015320395,0.000003742208,0.000006480667,0.00001570771,0.9977696,0.00044619388,0.0001199266,0.00034566934,0.0000047221424],"about_ca_topic_score_codex":0.09912203,"about_ca_topic_score_gemma":0.06341857,"teacher_disagreement_score":0.09912203,"about_ca_system_score_codex":0.001863872,"about_ca_system_score_gemma":0.0021208005,"threshold_uncertainty_score":0.19709021},"labels":[],"label_agreement":null},{"id":"W2335659673","doi":"10.14796/jwmm.r206-05","title":"Numerical Techniques for Overland Flow from Pavement","year":2000,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Hydraulic flow and structures","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Flow (mathematics); Surface runoff; Geology; Computer science; Mechanics; Geotechnical engineering; Physics; Ecology","score_opus":0.007961840723243584,"score_gpt":0.20430373288063042,"score_spread":0.19634189215738684,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2335659673","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":[0.002818149,0.0009617639,0.98717934,0.0001622056,0.00013947317,0.000057944453,0.000057198748,0.00028863485,0.00833524],"genre_scores_gemma":[0.14238878,0.0042420197,0.8291125,0.00015653015,0.00026659324,0.00061950303,0.00027515314,0.00053543056,0.022403484],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99966514,0.0000739888,0.00002706693,0.000036966976,0.00016444949,0.00003242436],"domain_scores_gemma":[0.9992348,0.00039606972,0.0000688899,0.00006215564,0.00021038596,0.000027766167],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00088639295,0.00075229467,0.00077754416,0.0013323514,0.0010329899,0.0013299754,0.001372023,0.0010967102,0.006828177],"category_scores_gemma":[0.004109549,0.00049351464,0.0008384918,0.001253723,0.001060605,0.0014232987,0.0017422298,0.0017262701,0.0017130508],"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":[0.00003977626,0.00004579892,0.0006603404,0.00044135255,0.000047309546,0.00028123547,0.0005294713,0.5785106,0.0114643825,0.2945554,0.0036949625,0.109729305],"study_design_scores_gemma":[0.000015278523,0.000010782353,0.000108425156,0.000057211284,0.000008471887,0.000068283705,0.00003847708,0.9224999,0.001325259,0.062820725,0.013033237,0.000013988362],"about_ca_topic_score_codex":0.005818313,"about_ca_topic_score_gemma":0.005510617,"teacher_disagreement_score":0.006828177,"about_ca_system_score_codex":0.0009972004,"about_ca_system_score_gemma":0.0013528327,"threshold_uncertainty_score":0.022842586},"labels":[],"label_agreement":null},{"id":"W2338693182","doi":"10.14796/jwmm.r246-23","title":"Planning Level Modeling of E. coli levels in a Suburban Watershed Using PCSWMM","year":2013,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Watershed; Geography; Water resource management; Hydrology (agriculture); Environmental science; Environmental planning; Computer science; Engineering","score_opus":0.07744679266351072,"score_gpt":0.26065011950284356,"score_spread":0.18320332683933283,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2338693182","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":[0.93261355,0.00008821877,0.04590967,0.000364689,0.00003159291,0.000096404736,0.0020551258,0.00069498253,0.01814585],"genre_scores_gemma":[0.9831004,0.00004512109,0.011633549,0.0000349948,0.0000059766808,0.000067045825,0.0006849963,0.000043961674,0.0043839226],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998523,0.000030734485,0.000007589579,0.000039205584,0.000024108525,0.000046075136],"domain_scores_gemma":[0.9996443,0.00017806143,0.00003648021,0.000018510682,0.00008376333,0.00003887367],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030272827,0.00047142032,0.00056299777,0.00051864743,0.00066715165,0.0011663778,0.0010747075,0.0011135627,0.0052081645],"category_scores_gemma":[0.0009064297,0.00067205844,0.0007566084,0.0006602637,0.00040827718,0.00049160846,0.00064590375,0.0006580283,0.00038367728],"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":[0.000011182811,0.000027013299,0.0024298409,0.0000042586635,0.000005591057,0.00002805616,0.000010553892,0.9958839,0.00010184042,0.00032649908,0.0001226433,0.0010486532],"study_design_scores_gemma":[0.0000030485933,0.000004448178,0.0003151744,7.0203816e-7,0.0000018265333,0.0000017671488,0.00000982649,0.9994454,0.00004557328,0.00008855176,0.00008201767,0.0000016336973],"about_ca_topic_score_codex":0.18080309,"about_ca_topic_score_gemma":0.12886412,"teacher_disagreement_score":0.18080309,"about_ca_system_score_codex":0.0016615726,"about_ca_system_score_gemma":0.0017949697,"threshold_uncertainty_score":0.35950142},"labels":[],"label_agreement":null},{"id":"W2340701989","doi":"10.14796/jwmm.r245-09","title":"Runoff Curve Number and Saturated Hydraulic Conductivity Estimation via Direct Rainfall Simulator Measurements","year":2012,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Surface runoff; Runoff curve number; Infiltration (HVAC); Hydraulic conductivity; Environmental science; Runoff model; Hydrology (agriculture); Soil science; Geotechnical engineering; Geology; Meteorology; Soil water; Geography","score_opus":0.03024104702787925,"score_gpt":0.25171036996811147,"score_spread":0.22146932294023222,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2340701989","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":[0.8274167,0.000086866705,0.15833806,0.000044989072,0.000015996511,0.0001787968,0.002477679,0.0019375089,0.009503374],"genre_scores_gemma":[0.9702593,0.000059785394,0.027105464,0.000014281899,0.000006790546,0.00007993108,0.0010696357,0.00008955622,0.0013151056],"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99939454,0.00011218279,0.000030387915,0.0002082579,0.0002071281,0.000047480033],"domain_scores_gemma":[0.9989008,0.00042646652,0.00015860233,0.00018296078,0.00027984846,0.0000513547],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00063093036,0.0005243219,0.00040695156,0.0011852075,0.00024250761,0.0008033629,0.0005390895,0.0004925477,0.0023030513],"category_scores_gemma":[0.0024299326,0.00032155178,0.00031564478,0.0011880214,0.00037610438,0.0012618257,0.00052571413,0.00035698203,0.0009477174],"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":[0.0009548875,0.0006289745,0.30790627,0.00029128048,0.00016596416,0.00025864856,0.00053515163,0.17412381,0.2911817,0.0030688252,0.0027931768,0.21809137],"study_design_scores_gemma":[0.00016242624,0.00033327096,0.19238327,0.000026939026,0.00007929865,0.00021659052,0.00011762813,0.64870363,0.15051955,0.0021622286,0.0051538157,0.00014129773],"about_ca_topic_score_codex":0.005552947,"about_ca_topic_score_gemma":0.010108711,"teacher_disagreement_score":0.005552947,"about_ca_system_score_codex":0.0007201995,"about_ca_system_score_gemma":0.000604112,"threshold_uncertainty_score":0.011041224},"labels":[],"label_agreement":null},{"id":"W2340787739","doi":"10.14796/jwmm.r245-01","title":"Pressure Transients due to Compression of Trapped Air in Rapidly Filling Sewer Storage Tunnels","year":2012,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Hydraulic flow and structures","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Stormwater; Compressed air; Environmental science; Geotechnical engineering; Compression (physics); Materials science; Geology; Engineering; Composite material; Mechanical engineering; Surface runoff","score_opus":0.011358026216680191,"score_gpt":0.2134380112184049,"score_spread":0.2020799850017247,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2340787739","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":[0.99885535,0.000019677065,0.0005844585,0.000022289258,0.000007753535,0.000009583107,0.00003869587,0.00004952384,0.00041275556],"genre_scores_gemma":[0.9997702,0.000009073051,0.0000973123,0.0000026955947,0.000002885711,0.0000036355755,0.000018522638,0.0000031302802,0.00009251309],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998605,0.00002238782,0.000007421715,0.000018665916,0.000035318768,0.000055781475],"domain_scores_gemma":[0.99933475,0.00027342874,0.00011343854,0.000044156353,0.00007734354,0.00015692021],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025757603,0.0001922933,0.0003550444,0.0004620899,0.00046413983,0.00043063058,0.00039484428,0.0007297491,0.0019370192],"category_scores_gemma":[0.0012673072,0.0002824544,0.0002144757,0.00032783236,0.0007584376,0.0004961421,0.0004708787,0.0006179111,0.00014302932],"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":[0.0076335697,0.000984189,0.08367816,0.00027933062,0.000100009056,0.013578589,0.0015372866,0.11859484,0.74580014,0.0018455179,0.0015640282,0.024404252],"study_design_scores_gemma":[0.00046501093,0.003014386,0.26367238,0.00006102714,0.00005350579,0.0017782174,0.0014113397,0.6217386,0.105946675,0.00079326716,0.0009508943,0.00011465179],"about_ca_topic_score_codex":0.0022356468,"about_ca_topic_score_gemma":0.0014867081,"teacher_disagreement_score":0.0022356468,"about_ca_system_score_codex":0.00034254874,"about_ca_system_score_gemma":0.00030651267,"threshold_uncertainty_score":0.006480038},"labels":[],"label_agreement":null},{"id":"W2341721432","doi":"10.14796/jwmm.r227-10","title":"Experimental Investigation on Surcharging of Flowing Sewers","year":2007,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Geological formations and processes","field":"Earth and Planetary Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Sanitary sewer; Geology; Environmental science; Environmental engineering","score_opus":0.03865684853935983,"score_gpt":0.23119809714638634,"score_spread":0.1925412486070265,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2341721432","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":[0.99930704,0.000010832935,0.00042432037,0.0000071120116,0.0000072785233,0.000009654162,0.000024699031,0.000013398416,0.00019572419],"genre_scores_gemma":[0.9980508,0.000024485262,0.0007661787,0.0000068723903,0.0000022878419,0.000008987459,0.000053852036,0.000006228246,0.0010803981],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9996935,0.000044885575,0.000019128964,0.000076297685,0.000066136214,0.000099998506],"domain_scores_gemma":[0.9987675,0.0005558808,0.00012681654,0.00023747215,0.00016944717,0.00014298607],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004460538,0.0003510808,0.00044063796,0.00023885805,0.00062701444,0.0003471283,0.00062061986,0.0006200177,0.0034649249],"category_scores_gemma":[0.0012353426,0.000248995,0.00031652956,0.00017454084,0.00069271197,0.00041280303,0.00041908884,0.0006049195,0.0002254058],"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":[0.0035141432,0.002191757,0.0110010635,0.00020038456,0.0000399538,0.0009344729,0.00095357373,0.013453485,0.95235205,0.0010539162,0.00028183073,0.014023346],"study_design_scores_gemma":[0.0003189515,0.018105851,0.027158849,0.000034917513,0.00006425769,0.00032225432,0.00097263354,0.0779109,0.87312585,0.00040750267,0.001535434,0.000042643176],"about_ca_topic_score_codex":0.001963535,"about_ca_topic_score_gemma":0.002341763,"teacher_disagreement_score":0.0034649249,"about_ca_system_score_codex":0.00027304448,"about_ca_system_score_gemma":0.00035632311,"threshold_uncertainty_score":0.011591375},"labels":[],"label_agreement":null},{"id":"W2375929021","doi":"10.14796/jwmm.r246-14","title":"Survival of Bacterial Indicator-Species on Environmental Impervious Surfaces","year":2013,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Fecal contamination and water quality","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Impervious surface; Stormwater; Environmental science; Surface runoff; Sewage; Water quality; Environmental quality; Environmental engineering; Hydrology (agriculture); Ecology; Engineering; Biology; Geotechnical engineering","score_opus":0.020238776698703408,"score_gpt":0.21292070489306764,"score_spread":0.19268192819436422,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2375929021","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":[0.9963141,0.0000730918,0.0023500905,0.000010393766,0.0000068496715,0.0000070096326,0.00025010997,0.000016227626,0.0009720058],"genre_scores_gemma":[0.9966419,0.000114479524,0.0013497807,0.000009269079,0.000002476149,0.000013383586,0.00049540924,0.000010917834,0.0013623957],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99966526,0.000050397546,0.000014367203,0.00008398074,0.00009155629,0.00009441389],"domain_scores_gemma":[0.9995523,0.00011651806,0.00011362458,0.000045278273,0.000112493,0.00005966174],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002845912,0.0003754413,0.00040800966,0.0003051784,0.00023728456,0.0006842496,0.00025554796,0.0002875896,0.0017629695],"category_scores_gemma":[0.00097143906,0.00015576,0.0002902732,0.0002705888,0.00018652699,0.0004464894,0.00054224336,0.00031664092,0.0005278016],"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":[0.0010391232,0.00026912976,0.11521743,0.00012823511,0.0000640481,0.0001414215,0.00031078805,0.007571867,0.8539191,0.0010113172,0.00018968737,0.020137915],"study_design_scores_gemma":[0.000046021778,0.0037090406,0.32747033,0.00004820268,0.000105599174,0.00034338608,0.0011013818,0.08870765,0.5732165,0.0014341383,0.003753091,0.00006476941],"about_ca_topic_score_codex":0.0023648883,"about_ca_topic_score_gemma":0.0012562153,"teacher_disagreement_score":0.0023648883,"about_ca_system_score_codex":0.00024213885,"about_ca_system_score_gemma":0.00022676364,"threshold_uncertainty_score":0.005897701},"labels":[],"label_agreement":null},{"id":"W2395315493","doi":"10.14796/jwmm.r208-07","title":"SWMM Calibration using Genetic Algorithms","year":2002,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Water Systems and Optimization","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Storm Water Management Model; Hydraulics; Genetic algorithm; Storm; Calibration; Computer science; Algorithm; Hydrology (agriculture); Environmental science; Mathematical optimization; Engineering; Surface runoff; Meteorology; Mathematics; Machine learning; Geotechnical engineering; Geography; Stormwater; Ecology; Aerospace engineering; Statistics; Biology","score_opus":0.027957378683837276,"score_gpt":0.1964165097670888,"score_spread":0.16845913108325153,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2395315493","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":[0.10529529,0.00022876733,0.8741665,0.00038922782,0.0001606869,0.00014410037,0.0010668993,0.0061779995,0.012370602],"genre_scores_gemma":[0.6127324,0.00014214437,0.38078144,0.00015966686,0.000026203672,0.00031118537,0.0020826035,0.00093452795,0.0028298239],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994276,0.00019619038,0.000030974104,0.000147925,0.00014196291,0.000055298788],"domain_scores_gemma":[0.9984143,0.00049634755,0.00013292466,0.00026904684,0.0006452086,0.00004213564],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017055057,0.00089580467,0.00055716775,0.0013027262,0.0006072767,0.0010580372,0.0011989503,0.0014806653,0.0044473577],"category_scores_gemma":[0.0073499163,0.00060920627,0.00063277944,0.0016547297,0.0003137277,0.001075759,0.0009535544,0.0011567897,0.0016507753],"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":[0.00003635218,0.000028404813,0.001013431,0.000027467842,0.000031844786,0.000025263282,0.000028936638,0.95931387,0.0011112273,0.0014509102,0.0014525369,0.035479654],"study_design_scores_gemma":[0.000015890479,0.000009864543,0.00037914413,0.000010469173,0.0000057792067,0.0000069538432,0.000008907742,0.9954442,0.0011879726,0.00170406,0.0012157125,0.000010975012],"about_ca_topic_score_codex":0.00987487,"about_ca_topic_score_gemma":0.0070031723,"teacher_disagreement_score":0.00987487,"about_ca_system_score_codex":0.0010633994,"about_ca_system_score_gemma":0.0015600682,"threshold_uncertainty_score":0.019634783},"labels":[],"label_agreement":null},{"id":"W2403271875","doi":"10.14796/jwmm.r236-28","title":"Dynamic Bayesian Network Approach for Modeling Trihalomethanes from Ontario Water Supply Systems","year":2010,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Water Treatment and Disinfection","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Dynamic Bayesian network; Bayesian network; Variable-order Bayesian network; Computer science; Bayesian probability; System dynamics; Data mining; Artificial intelligence; Machine learning; Bayesian inference","score_opus":0.012296503497017426,"score_gpt":0.20257123953466474,"score_spread":0.19027473603764733,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2403271875","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":[0.20632374,0.0007776662,0.765854,0.0017855305,0.00004984542,0.00027888897,0.0067279804,0.00040527078,0.017797064],"genre_scores_gemma":[0.9326082,0.00082631933,0.049415816,0.00008878443,0.000041057552,0.0004182502,0.0025396151,0.000044305194,0.0140177],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992742,0.00023183021,0.000037908598,0.00017469065,0.00020563202,0.00007584738],"domain_scores_gemma":[0.9987317,0.00073502393,0.00019022127,0.000035313595,0.0002642921,0.000043442054],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012693995,0.000773675,0.00065594044,0.0015025781,0.00093205104,0.001475428,0.001471685,0.0011596427,0.0025342866],"category_scores_gemma":[0.004550952,0.0007136226,0.0006730616,0.002018863,0.0008505543,0.0013149838,0.0008586998,0.00076939526,0.00022476327],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000019825873,0.000009215281,0.001403168,0.0000148877725,0.000019374882,0.000056665165,0.000045305333,0.98814887,0.00014174487,0.0066705416,0.00024306079,0.0032272893],"study_design_scores_gemma":[0.0000054751276,0.0000059057575,0.0006113555,0.0000038106916,0.000014884188,0.000009571576,0.000014312319,0.9937317,0.000057256977,0.0048796586,0.000659266,0.0000068324644],"about_ca_topic_score_codex":0.4984116,"about_ca_topic_score_gemma":0.4775035,"teacher_disagreement_score":0.5015884,"about_ca_system_score_codex":0.0074386843,"about_ca_system_score_gemma":0.0044905394,"threshold_uncertainty_score":0.99102104},"labels":[],"label_agreement":null},{"id":"W2443930361","doi":"10.14796/jwmm.r223-09","title":"Continuous Simulation Approach to Centralized Stormwater Management Design for Partial Treatment of Urbanizing Subwatersheds","year":2005,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Water Resources and Management","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Philips (Canada)","funders":"","keywords":"Stormwater; Stormwater management; Environmental science; Hydrology (agriculture); Water resource management; Surface runoff; Geology; Geotechnical engineering","score_opus":0.044469729009554364,"score_gpt":0.24648017209909104,"score_spread":0.20201044308953667,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2443930361","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":[0.07176425,0.00009108023,0.9189261,0.00017150254,0.000051169154,0.00016361142,0.00013879113,0.0006166415,0.008076833],"genre_scores_gemma":[0.90889466,0.00009094025,0.08656185,0.00004523335,0.000022270506,0.000306764,0.00013731686,0.00007772363,0.0038632178],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996525,0.00013265248,0.000012480523,0.000056011166,0.00008522823,0.00006116344],"domain_scores_gemma":[0.99910045,0.0004557107,0.0000789487,0.00004748227,0.00023858092,0.00007880607],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010324055,0.00054081564,0.00082903844,0.0004081859,0.00055575505,0.0011405069,0.0014959994,0.0008364126,0.00514676],"category_scores_gemma":[0.0016034769,0.0004997282,0.0006303107,0.00042974396,0.00059583475,0.0005167636,0.0006475223,0.0008666921,0.00029659946],"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":[0.000028526327,0.000023531182,0.00019114475,0.000009879452,0.000005606848,0.000012741153,0.00001751927,0.9945774,0.00024765238,0.0016161659,0.00013293336,0.0031368788],"study_design_scores_gemma":[0.000006504748,0.000011085228,0.00002331391,6.0964976e-7,0.0000022037943,7.7253856e-7,0.0000037642212,0.99945444,0.00007565906,0.0002908795,0.00012984221,9.611592e-7],"about_ca_topic_score_codex":0.02151055,"about_ca_topic_score_gemma":0.019697271,"teacher_disagreement_score":0.02151055,"about_ca_system_score_codex":0.0011213997,"about_ca_system_score_gemma":0.0022008542,"threshold_uncertainty_score":0.042770684},"labels":[],"label_agreement":null},{"id":"W2460189921","doi":"10.14796/jwmm.r235-22","title":"Current Technologies For On-Line Monitoring of Drinking Water Distribution Systems","year":2009,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Water Systems and Optimization","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Current (fluid); Environmental science; Line (geometry); Engineering; Electrical engineering; Mathematics","score_opus":0.026210807680352728,"score_gpt":0.24154652203740776,"score_spread":0.21533571435705504,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2460189921","genre_codex":"methods","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0448499,0.017169027,0.833691,0.0025269564,0.00071300555,0.0010698938,0.004103674,0.00874811,0.087128505],"genre_scores_gemma":[0.4515258,0.02464442,0.45208865,0.0019199878,0.00065263023,0.0021619825,0.0048895064,0.00034859832,0.061768387],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9959472,0.0005640476,0.0001153203,0.00054961076,0.0026691942,0.00015468338],"domain_scores_gemma":[0.99834824,0.00026435393,0.00030505922,0.0002807297,0.00074573525,0.00005592006],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011802651,0.00090100145,0.00065286196,0.0019278143,0.0005712964,0.0018533205,0.0021554427,0.0010998348,0.009580044],"category_scores_gemma":[0.0017894623,0.00033163032,0.00036510048,0.0025818213,0.00037721478,0.0025560788,0.00090083067,0.0008371131,0.0041516162],"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":[0.00023058223,0.00022088258,0.009064476,0.0017480941,0.0000652808,0.00008368595,0.00023710982,0.0042341193,0.13090834,0.00732074,0.025628166,0.8202586],"study_design_scores_gemma":[0.000111854344,0.0008417453,0.03413753,0.0007849222,0.00030346034,0.00085636246,0.0005260941,0.06317855,0.26805162,0.014409467,0.61664426,0.00015412773],"about_ca_topic_score_codex":0.0017257319,"about_ca_topic_score_gemma":0.0020720835,"teacher_disagreement_score":0.009580044,"about_ca_system_score_codex":0.0010582866,"about_ca_system_score_gemma":0.0009777355,"threshold_uncertainty_score":0.032048464},"labels":[],"label_agreement":null},{"id":"W2460216311","doi":"10.14796/jwmm.r227-07","title":"Bioenergetic Habitat Modeling and Food Delivery for Drift Feeding Fishes in Streams","year":2007,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Bioenergetics; STREAMS; Habitat; Fishery; Environmental science; Food delivery; Ecology; Fish <Actinopterygii>; Biology; Business; Computer science","score_opus":0.015746115432043177,"score_gpt":0.2127886778634716,"score_spread":0.19704256243142843,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2460216311","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":[0.78575313,0.00062720804,0.20659225,0.00075171026,0.00006475601,0.00004170803,0.00032019807,0.0001345738,0.0057144687],"genre_scores_gemma":[0.97026676,0.0005688733,0.023840569,0.00006920798,0.000021896773,0.00006016621,0.00017546084,0.00003750362,0.004959616],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99992335,0.000038656606,0.000006452686,0.000013088647,0.000009549421,0.000008962223],"domain_scores_gemma":[0.99981385,0.000104839935,0.000026810589,0.0000088056495,0.00002907399,0.000016680382],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038093733,0.0003155533,0.00027175507,0.00029406592,0.0002499786,0.00059983594,0.0005019935,0.00043165352,0.00190094],"category_scores_gemma":[0.0011117227,0.00021672687,0.0003147931,0.00034929955,0.00023168333,0.0013081285,0.00037756108,0.00020098386,0.00027038864],"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":[0.0001647118,0.00009629487,0.042809714,0.00009559024,0.00006924142,0.00016042436,0.00012321271,0.9017618,0.006732105,0.005253279,0.000994896,0.04173865],"study_design_scores_gemma":[0.000012400743,0.00009072365,0.012663338,0.000014652993,0.000026904729,0.00010529428,0.00014533634,0.9785527,0.001406069,0.0062053828,0.00075862225,0.000018493252],"about_ca_topic_score_codex":0.007335774,"about_ca_topic_score_gemma":0.012166462,"teacher_disagreement_score":0.007335774,"about_ca_system_score_codex":0.00037585077,"about_ca_system_score_gemma":0.0004575435,"threshold_uncertainty_score":0.014586151},"labels":[],"label_agreement":null},{"id":"W2472169529","doi":"10.14796/jwmm.r225-01","title":"A Model Maintenance Tool - Moving Forward with an Investment in a System-Wide Model","year":2006,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Water Systems and Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Investment (military); Computer science; Political science","score_opus":0.009473721976252665,"score_gpt":0.17606339836433654,"score_spread":0.1665896763880839,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2472169529","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":[0.029856343,0.00004585297,0.9335035,0.00055923813,0.00015998232,0.00019737742,0.0013929118,0.022121968,0.0121627785],"genre_scores_gemma":[0.33307377,0.000108471424,0.6538232,0.00015148989,0.000060680006,0.00040778998,0.0024739197,0.004183211,0.005717447],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994935,0.00016650303,0.000036452486,0.00009725281,0.0001698045,0.000036451893],"domain_scores_gemma":[0.99683076,0.0013275251,0.00015429556,0.00080719916,0.00078443065,0.00009591693],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018656319,0.00071253564,0.0006117906,0.0007194322,0.00049366284,0.0014689609,0.0024821325,0.000953044,0.011347984],"category_scores_gemma":[0.008146348,0.0007057761,0.0007589245,0.0007366142,0.00031182074,0.00282246,0.001015538,0.0015971761,0.0020540045],"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":[0.0002387019,0.00017910216,0.0030665267,0.00014600018,0.00010953204,0.00018524642,0.00014804344,0.82192034,0.0032511684,0.01580654,0.016116122,0.13883261],"study_design_scores_gemma":[0.00005120317,0.00004129924,0.0002255502,0.00001700813,0.000031136362,0.000031825686,0.000021410448,0.9859605,0.0014754214,0.0033132383,0.008816024,0.000015473472],"about_ca_topic_score_codex":0.006186836,"about_ca_topic_score_gemma":0.0059299446,"teacher_disagreement_score":0.011347984,"about_ca_system_score_codex":0.00061420084,"about_ca_system_score_gemma":0.0015873573,"threshold_uncertainty_score":0.037962794},"labels":[],"label_agreement":null},{"id":"W2482648559","doi":"10.14796/jwmm.r241-21","title":"Modeling Impervious Area Disconnection with SWMM","year":2011,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Impervious surface; Surface runoff; Environmental science; Hydrology (agriculture); Low-impact development; Disconnection; Volume (thermodynamics); Soil loss; Engineering; Geotechnical engineering; Stormwater management; Ecology","score_opus":0.0270613527722251,"score_gpt":0.19847450728743402,"score_spread":0.17141315451520892,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2482648559","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":[0.97726554,0.00005595556,0.017225176,0.00013846901,0.00003738223,0.000024533876,0.0007974188,0.0003392611,0.0041161543],"genre_scores_gemma":[0.99470586,0.000023726085,0.003665596,0.000023315071,0.0000072371167,0.000017246697,0.00027219468,0.000040285562,0.0012445477],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998498,0.000031111853,0.0000069416487,0.000038896607,0.000022175938,0.000051101328],"domain_scores_gemma":[0.99960047,0.00016373998,0.000059861643,0.000043677883,0.00006629967,0.00006604592],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034345614,0.00054614554,0.00038915046,0.00052085426,0.00041203032,0.00054362556,0.0012678662,0.0011304789,0.0032584283],"category_scores_gemma":[0.0011385287,0.0005093616,0.00071755133,0.00082059926,0.00041506407,0.0006731462,0.0004749801,0.000645568,0.0003077243],"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":[0.000038360406,0.00005387602,0.0046704547,0.000009784138,0.000014458942,0.000029198593,0.000020256448,0.99223125,0.00061099045,0.0004956686,0.00018180643,0.0016438682],"study_design_scores_gemma":[0.000009014881,0.000014957885,0.0015802052,0.000001230093,0.000006086513,0.0000069983485,0.000012989155,0.9976344,0.00023493185,0.00027679547,0.00021773715,0.0000046087875],"about_ca_topic_score_codex":0.0402243,"about_ca_topic_score_gemma":0.0372103,"teacher_disagreement_score":0.0402243,"about_ca_system_score_codex":0.0011343381,"about_ca_system_score_gemma":0.00069664617,"threshold_uncertainty_score":0.07998037},"labels":[],"label_agreement":null},{"id":"W2511031796","doi":"10.14796/jwmm.r235-07","title":"Western New York Stormwater Coalition: Compliance through Collaboration","year":2009,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Urban Stormwater Management Solutions","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Stormwater; Stormwater management; Environmental planning; Public administration; Environmental protection; Business; Political science; Environmental resource management; Geography; Environmental science; Surface runoff","score_opus":0.06342007987756063,"score_gpt":0.26983633467558577,"score_spread":0.20641625479802514,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2511031796","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.093379885,0.001060807,0.016881814,0.52626395,0.0036994356,0.0022034834,0.0014214566,0.0008830508,0.35420617],"genre_scores_gemma":[0.5312847,0.0010491062,0.021509951,0.074487604,0.00089398527,0.004970224,0.003590762,0.00069239497,0.36152133],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.96396685,0.013790176,0.0020513546,0.0022655814,0.011151991,0.0067740073],"domain_scores_gemma":[0.9366195,0.01581569,0.0039541884,0.0057088616,0.019211832,0.0186899],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.05994521,0.00043691188,0.00039411004,0.0018629372,0.0097925505,0.0073087015,0.0031446395,0.005772666,0.021523025],"category_scores_gemma":[0.05997737,0.00066769647,0.00040662815,0.0023125822,0.0023572363,0.0058969078,0.013738372,0.005999118,0.0022489477],"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":[0.00014219811,0.0005442102,0.0327762,0.00015657464,0.00004043157,0.0005100366,0.012872614,0.0010084404,0.0009452127,0.07307737,0.70395195,0.17397477],"study_design_scores_gemma":[0.00016010273,0.00012869427,0.026913505,0.00024038028,0.000015197458,0.00009452595,0.0179188,0.0013590556,0.000775457,0.009941282,0.9423885,0.00006454267],"about_ca_topic_score_codex":0.12422506,"about_ca_topic_score_gemma":0.17257717,"teacher_disagreement_score":0.12422506,"about_ca_system_score_codex":0.008901383,"about_ca_system_score_gemma":0.10316592,"threshold_uncertainty_score":0.31702435},"labels":[],"label_agreement":null},{"id":"W2532399166","doi":"10.14796/jwmm.r215-17","title":"Using Baffle Boxes for Stormwater Treatment","year":2003,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Irrigation Practices and Water Management","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Baffle; Stormwater; Stormwater management; Environmental science; Engineering; Surface runoff; Mechanical engineering","score_opus":0.10334024681212901,"score_gpt":0.2800924650530831,"score_spread":0.1767522182409541,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2532399166","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":[0.6171852,0.002360806,0.34983268,0.0004123844,0.0005095401,0.0018580044,0.0015017693,0.0052748667,0.021064822],"genre_scores_gemma":[0.7640666,0.0017269128,0.20205101,0.00026003688,0.000074545205,0.0012903364,0.0014621287,0.00029143557,0.028777039],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9994092,0.000089133755,0.00004720334,0.00012121807,0.0002559563,0.000077372686],"domain_scores_gemma":[0.9996544,0.00011646075,0.000055103526,0.00006660822,0.000080131125,0.000027419142],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045612498,0.00051741913,0.0004284661,0.00051015697,0.00068255526,0.00083936355,0.00073194824,0.000544862,0.0055620233],"category_scores_gemma":[0.0007611898,0.00025945887,0.00047993867,0.0003985296,0.00022702973,0.0004851186,0.00044545892,0.0005061255,0.002444383],"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":[0.00074337126,0.000579835,0.0033655113,0.0005659943,0.000051604966,0.00012342984,0.00019420833,0.009650507,0.86162025,0.001747001,0.0033514902,0.11800682],"study_design_scores_gemma":[0.000085058855,0.00065098575,0.0037366461,0.000043587814,0.000056815137,0.0001046136,0.000059771486,0.0106715895,0.9336688,0.00039573494,0.05047833,0.000048144357],"about_ca_topic_score_codex":0.0016625728,"about_ca_topic_score_gemma":0.0026238095,"teacher_disagreement_score":0.0055620233,"about_ca_system_score_codex":0.00037163318,"about_ca_system_score_gemma":0.000420996,"threshold_uncertainty_score":0.018606842},"labels":[],"label_agreement":null},{"id":"W2532437589","doi":"10.14796/jwmm.r245-16","title":"Simple Hydrograph Shapes for Urban Stormwater Water Quality Continuous Analyses","year":2012,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Water Quality and Resources Studies","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Hydrograph; Stormwater; Simple (philosophy); Environmental science; Water quality; Hydrology (agriculture); Quality (philosophy); Water resource management; Surface runoff; Geology; Geotechnical engineering; Ecology","score_opus":0.12190512894585853,"score_gpt":0.31991038521025217,"score_spread":0.19800525626439364,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2532437589","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":[0.031859823,0.000098798686,0.960317,0.00007635429,0.000036228274,0.00010947297,0.0009243357,0.0012078263,0.0053702467],"genre_scores_gemma":[0.526903,0.00044503374,0.46419403,0.000089498855,0.00004497522,0.00036073648,0.0016296234,0.0007919671,0.0055411784],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.999835,0.000051229825,0.000012299861,0.00003182747,0.00005299782,0.000016599848],"domain_scores_gemma":[0.9995578,0.0001947042,0.00004983493,0.00008275914,0.00008988545,0.000025133848],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003092793,0.0005534263,0.00038555145,0.00043676508,0.00029185074,0.00084203115,0.00075334636,0.00058290974,0.0042135827],"category_scores_gemma":[0.0015179008,0.0003976738,0.0007549008,0.0007044771,0.00042409616,0.0007403836,0.0006611554,0.0007416232,0.0009868668],"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":[0.00007361185,0.00006683631,0.003000662,0.00011993465,0.000026155483,0.00021580457,0.00013239031,0.874793,0.009660601,0.041294195,0.0046860026,0.06593081],"study_design_scores_gemma":[0.000012144962,0.000020122667,0.0009139896,0.000011290097,0.000006917866,0.000056206387,0.00003318673,0.9757381,0.0024310332,0.0130404895,0.0077117993,0.000024666659],"about_ca_topic_score_codex":0.004143244,"about_ca_topic_score_gemma":0.0067861546,"teacher_disagreement_score":0.0042135827,"about_ca_system_score_codex":0.00044546035,"about_ca_system_score_gemma":0.0005445537,"threshold_uncertainty_score":0.014095783},"labels":[],"label_agreement":null},{"id":"W2533075264","doi":"10.14796/jwmm.r246-13","title":"The Effects of Water Quality Characteristics on Pollutant Releases from Drainage Materials","year":2013,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Urban Stormwater Management Solutions","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"U.S. Environmental Protection Agency; National Science Foundation","keywords":"Drainage; Pollutant; Water quality; Environmental science; Quality (philosophy); Environmental engineering; Environmental chemistry; Water resource management; Chemistry; Ecology; Biology","score_opus":0.012154144249669988,"score_gpt":0.21716677820618374,"score_spread":0.20501263395651376,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2533075264","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":[0.99905294,0.00006687906,0.0004976857,0.0000082212955,0.000005013715,0.000011699681,0.0000957757,0.00000902639,0.0002527337],"genre_scores_gemma":[0.99891603,0.00011198524,0.0004217803,0.000015437045,0.0000028295365,0.000009709652,0.00009923244,0.000012012686,0.00041109155],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9995276,0.00009116906,0.00004423042,0.00009920309,0.0001564048,0.000081404956],"domain_scores_gemma":[0.9988889,0.00048314277,0.00029866217,0.000050930936,0.0002312196,0.00004716819],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041688696,0.00040591726,0.00037421385,0.00028234994,0.0003645805,0.0008243007,0.00019949864,0.00036321417,0.0009346606],"category_scores_gemma":[0.0011226508,0.00022516995,0.00045598936,0.00039113747,0.00041157886,0.00056064664,0.00031002177,0.00033973277,0.00015499671],"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":[0.0015140118,0.00021015323,0.026848376,0.00016165507,0.00009132806,0.00017507309,0.00011279048,0.0037367025,0.9603614,0.00004567481,0.000052843123,0.0066899867],"study_design_scores_gemma":[0.00003361341,0.0030940445,0.09063199,0.000008333465,0.00013669815,0.00011638801,0.00035154147,0.0045401743,0.9005013,0.00005669108,0.0004998408,0.000029436533],"about_ca_topic_score_codex":0.0029863222,"about_ca_topic_score_gemma":0.0043039666,"teacher_disagreement_score":0.0029863222,"about_ca_system_score_codex":0.00034796726,"about_ca_system_score_gemma":0.00024690334,"threshold_uncertainty_score":0.0059378743},"labels":[],"label_agreement":null},{"id":"W2535814589","doi":"10.14796/jwmm.r228-08","title":"Integrated Web-Based Flow Monitoring and Hydraulic Modeling in Erie County, New York","year":2008,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","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":true,"route_about_ca":false,"ca_institutions":"Conestoga College","funders":"","keywords":"Sewerage; Division (mathematics); Environmental science; Combined sewer; Environmental planning; Engineering; Water resource management; Environmental resource management; Environmental engineering; Stormwater; Ecology","score_opus":0.04469107687823941,"score_gpt":0.21703782121816217,"score_spread":0.17234674433992275,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2535814589","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":[0.977023,0.00009349617,0.013237656,0.0001851678,0.00001564431,0.00009691477,0.002291902,0.0006818075,0.006374429],"genre_scores_gemma":[0.98229754,0.00010083556,0.010523353,0.000018763105,0.000007100885,0.00014766239,0.0022035816,0.00006842424,0.004632709],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99986804,0.000026305488,0.000006570705,0.000045924116,0.000030573567,0.0000225746],"domain_scores_gemma":[0.9997048,0.000120460834,0.000019043775,0.000025645075,0.00010213273,0.000027847713],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026419378,0.00032833847,0.000342535,0.00043018174,0.00038195003,0.00087558484,0.0006873623,0.0005623014,0.002284737],"category_scores_gemma":[0.00081535627,0.00037745418,0.00024740878,0.00059719756,0.00025635792,0.0009719581,0.00051694544,0.00040997603,0.0002990624],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00035219008,0.00058032165,0.072839215,0.000076940974,0.000104073035,0.000415424,0.0004101466,0.8861488,0.0038705254,0.0014769884,0.005780355,0.027945042],"study_design_scores_gemma":[0.00003765495,0.000019126053,0.010773428,0.0000043615005,0.000010337726,0.000009579928,0.00008552986,0.9873953,0.00050245394,0.00013327933,0.0010187558,0.000010226392],"about_ca_topic_score_codex":0.52496636,"about_ca_topic_score_gemma":0.5791549,"teacher_disagreement_score":0.52496636,"about_ca_system_score_codex":0.002097479,"about_ca_system_score_gemma":0.0017778516,"threshold_uncertainty_score":0.9556624},"labels":[],"label_agreement":null},{"id":"W2538440968","doi":"10.14796/jwmm.r207-04","title":"A Methodology to Design and/or Assess Baffles for Floatables Control","year":2001,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Hydraulic flow and structures","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Baffle; Combined sewer; Computer science; Control (management); Environmental science; Engineering; Civil engineering; Marine engineering; Mechanical engineering; Artificial intelligence","score_opus":0.0974325995759188,"score_gpt":0.2963251524045674,"score_spread":0.19889255282864862,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2538440968","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":[0.0006963531,0.000029079198,0.9977639,0.000016860624,0.000007337089,0.000094445466,0.000031821237,0.00027765872,0.0010824308],"genre_scores_gemma":[0.04775441,0.00016870309,0.94846654,0.000030340374,0.000013226315,0.00056621694,0.00015131623,0.000121765275,0.0027275651],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99875486,0.00023010615,0.00008254768,0.00020903963,0.0006437161,0.00007976842],"domain_scores_gemma":[0.9988531,0.00036197677,0.0001735128,0.00017741337,0.00039899323,0.000035069654],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018786285,0.001458982,0.00080631184,0.001743299,0.00089235744,0.0021521305,0.0019485765,0.0012415319,0.0072510326],"category_scores_gemma":[0.0039863707,0.0007894672,0.0010109219,0.0008814508,0.0010750894,0.001595044,0.0011127144,0.0011788455,0.0014611239],"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":[0.00004658123,0.0001463106,0.0022037732,0.00048152346,0.00008360827,0.00014296209,0.00020822146,0.51038486,0.024269233,0.14060153,0.0035885817,0.31784284],"study_design_scores_gemma":[0.000034834673,0.00019310278,0.0006459598,0.00011332748,0.00004808941,0.00018752395,0.00009956435,0.8973018,0.017645271,0.048454437,0.03522514,0.00005089247],"about_ca_topic_score_codex":0.0041306084,"about_ca_topic_score_gemma":0.0031582098,"teacher_disagreement_score":0.0072510326,"about_ca_system_score_codex":0.0011605831,"about_ca_system_score_gemma":0.001961317,"threshold_uncertainty_score":0.024257064},"labels":[],"label_agreement":null},{"id":"W2540049103","doi":"10.14796/jwmm.r245-11","title":"Calibration of Distributed Rainfall-Runoff Model in Hamilton County, Ohio","year":2012,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"University of Cincinnati","keywords":"Surface runoff; Calibration; Environmental science; Hydrology (agriculture); Estimation; Runoff model; Green infrastructure; Combined sewer; Hydrological modelling; Meteorology; Statistics; Stormwater; Geography; Mathematics; Environmental resource management; Geology; Engineering; Climatology; Ecology; Geotechnical engineering","score_opus":0.01769341658426366,"score_gpt":0.22533651904568971,"score_spread":0.20764310246142606,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2540049103","genre_codex":"empirical","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":[0.9840896,0.000037723734,0.009220328,0.00010427663,0.000014008056,0.000095627765,0.001287991,0.00025495148,0.004895542],"genre_scores_gemma":[0.99665856,0.000020407035,0.0019771943,0.000009916688,0.0000016946923,0.000034624467,0.0004958924,0.00001032627,0.00079138484],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99980074,0.000044375356,0.000008677619,0.00006258108,0.00003951805,0.000044058],"domain_scores_gemma":[0.9996692,0.00011596606,0.00003690414,0.000028151793,0.00011189399,0.00003790474],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039326036,0.00032317697,0.00029857754,0.00022113958,0.00047271224,0.0007757672,0.0009025481,0.00068345905,0.0014279854],"category_scores_gemma":[0.0010565268,0.00027180143,0.0002658516,0.0004052107,0.00022474764,0.00041839565,0.00041453954,0.0003699157,0.00016015807],"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":[0.00007452726,0.00009666053,0.026023904,0.000021614991,0.000027877364,0.00015046737,0.00007912908,0.96313465,0.0017358862,0.0006265565,0.0009910577,0.007037628],"study_design_scores_gemma":[0.000034129665,0.000033823657,0.011989138,0.000004504908,0.000010260746,0.000013800446,0.000083912986,0.98628914,0.00058320805,0.00022602231,0.0007217431,0.0000104843975],"about_ca_topic_score_codex":0.14690706,"about_ca_topic_score_gemma":0.12949169,"teacher_disagreement_score":0.14690706,"about_ca_system_score_codex":0.0018133111,"about_ca_system_score_gemma":0.001402023,"threshold_uncertainty_score":0.29210395},"labels":[],"label_agreement":null},{"id":"W2548502731","doi":"10.14796/jwmm.r241-03","title":"Mechanisms for Surges in Vertical Shafts in Stormwater Tunnels","year":2011,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Hydraulic flow and structures","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Stormwater; Stormwater management; Storm surge; Transient (computer programming); Civil engineering; Transient flow; Surge; Geology; Environmental science; Geotechnical engineering; Hydrology (agriculture); Engineering; Surface runoff; Computer science; Storm; Geomorphology; Oceanography","score_opus":0.026209447913931785,"score_gpt":0.2083554825548957,"score_spread":0.1821460346409639,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2548502731","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":[0.96587443,0.00015923633,0.02475378,0.00032945216,0.00006247236,0.00007432189,0.00020176156,0.0005566004,0.007987838],"genre_scores_gemma":[0.9983354,0.000027394613,0.000633162,0.000008016454,0.00000862124,0.0000067182573,0.00003168752,0.000012877625,0.00093631336],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99980694,0.000021133183,0.000012548059,0.00002567011,0.00004546867,0.0000883185],"domain_scores_gemma":[0.9990165,0.00030947832,0.00022279665,0.000084962834,0.00020398715,0.0001621446],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004174236,0.00027249812,0.00033234435,0.0009730166,0.00079794327,0.0008155672,0.0006760757,0.0006302308,0.006503311],"category_scores_gemma":[0.0013452069,0.0005382385,0.00042784878,0.00029514168,0.0007034269,0.00073844194,0.0006795475,0.00046545677,0.0007246058],"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":[0.0031406423,0.0011305563,0.11338506,0.0006263877,0.00013154616,0.006406406,0.002115087,0.16952847,0.5096493,0.122739,0.00995957,0.06118807],"study_design_scores_gemma":[0.0005341467,0.0016156342,0.14102788,0.00016617654,0.00009199529,0.0020901982,0.002311056,0.77305895,0.052379332,0.022193693,0.0043622376,0.00016870863],"about_ca_topic_score_codex":0.0021943601,"about_ca_topic_score_gemma":0.0020745767,"teacher_disagreement_score":0.006503311,"about_ca_system_score_codex":0.00070482434,"about_ca_system_score_gemma":0.00039552012,"threshold_uncertainty_score":0.021755755},"labels":[],"label_agreement":null},{"id":"W2553261512","doi":"10.14796/jwmm.c408","title":"Assessing the Impact of Variations in Hydrologic, Hydraulic and Hydrometeorological Controls on Inundation in Urban Areas","year":2016,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Flood Risk Assessment and Management","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"University of Texas at Arlington; National Science Foundation","keywords":"Hydrometeorology; Flooding (psychology); Environmental science; Hydrology (agriculture); Water resource management; Geography; Meteorology; Geology; Precipitation; Geotechnical engineering","score_opus":0.020091507300126352,"score_gpt":0.28150703537976884,"score_spread":0.26141552807964247,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2553261512","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":[0.99927026,0.000006929664,0.0003237144,0.000016390419,0.000001858602,0.000011338703,0.00007897552,0.000011579376,0.0002789853],"genre_scores_gemma":[0.99947244,0.000012932817,0.0003538277,0.0000043491386,8.641902e-7,0.00000968895,0.000068608984,0.0000023406083,0.00007498677],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99978155,0.00008199786,0.000012446129,0.000043012773,0.00002560955,0.000055437617],"domain_scores_gemma":[0.99888784,0.0007274998,0.00016201228,0.0000677311,0.00007830062,0.00007649117],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005451483,0.00045849048,0.00027171802,0.00026368242,0.000358598,0.000602301,0.0004834876,0.00057111453,0.0007312322],"category_scores_gemma":[0.0017783679,0.0002303525,0.00034972723,0.00026480126,0.00060435734,0.0005119274,0.00038004268,0.000372074,0.00006523524],"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":[0.00026696577,0.00054722937,0.05768833,0.000037416958,0.000048389662,0.00013075519,0.00008151109,0.9287924,0.008989676,0.0003018663,0.00016059022,0.0029548598],"study_design_scores_gemma":[0.0000914603,0.00065240456,0.057904758,0.000008917771,0.000037793783,0.000023953002,0.00026546008,0.9337083,0.0068422486,0.00022140075,0.00021347491,0.000029777204],"about_ca_topic_score_codex":0.03564554,"about_ca_topic_score_gemma":0.031340994,"teacher_disagreement_score":0.03564554,"about_ca_system_score_codex":0.0009147836,"about_ca_system_score_gemma":0.0007405716,"threshold_uncertainty_score":0.07087612},"labels":[],"label_agreement":null},{"id":"W2559755350","doi":"10.14796/jwmm.c411","title":"Wetland Modeling in PCSWMM: Exploring Options to Define Wetland Features and Incorporate Groundwater Exchanges","year":2016,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Soil and Water Nutrient Dynamics","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"University of Guelph; Emmanuel Bible College","funders":"","keywords":"Wetland; Groundwater; Environmental science; Water resource management; Hydrology (agriculture); Environmental resource management; Geology; Ecology","score_opus":0.04470107815936296,"score_gpt":0.2206211616181711,"score_spread":0.17592008345880816,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2559755350","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":[0.93213344,0.000116674884,0.049171437,0.0004066643,0.000010362203,0.00015044089,0.0011040895,0.0002706555,0.016636338],"genre_scores_gemma":[0.97720474,0.00007590876,0.020526558,0.00001889659,0.0000033361337,0.00006146247,0.00028451497,0.00002021659,0.0018042951],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999386,0.000017348935,0.0000030403921,0.000012586653,0.000013281077,0.000015080637],"domain_scores_gemma":[0.9998541,0.0000661346,0.000020149284,0.000012376485,0.000031789703,0.000015368083],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026670942,0.00029273386,0.00017899537,0.00018710643,0.00047495434,0.0005386267,0.0007581103,0.00040085078,0.0010864167],"category_scores_gemma":[0.0006290331,0.00017847608,0.00023355613,0.00030419594,0.00031115703,0.00040370144,0.0005147191,0.00021002581,0.000065631975],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000047533915,0.000038653536,0.01602376,0.00004824684,0.000013836035,0.000082452374,0.00016794479,0.9640857,0.0018343653,0.002983819,0.0004951127,0.014178521],"study_design_scores_gemma":[0.000013530522,0.000017015984,0.0039880625,0.000007903174,0.0000065485574,0.0000103098255,0.00012686124,0.9928135,0.0004663774,0.00088267203,0.0016603583,0.0000069440903],"about_ca_topic_score_codex":0.56849957,"about_ca_topic_score_gemma":0.72618276,"teacher_disagreement_score":0.56849957,"about_ca_system_score_codex":0.0030949337,"about_ca_system_score_gemma":0.003010315,"threshold_uncertainty_score":0.86808324},"labels":[],"label_agreement":null},{"id":"W2560361211","doi":"10.14796/jwmm.c410","title":"Modeling Stormwater Runoff from an Urban Park, Singapore Using PCSWWM","year":2016,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Flood Risk Assessment and Management","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Stormwater; Surface runoff; Environmental planning; Stormwater management; Geography; Urban runoff; Urban planning; Land use; Environmental science; Low-impact development; Water resource management; Civil engineering; Engineering; Ecology","score_opus":0.026008063704944236,"score_gpt":0.2480647491963549,"score_spread":0.22205668549141067,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2560361211","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":[0.99463046,0.000016998243,0.002703354,0.000048890393,0.0000039705,0.00002377756,0.0006401634,0.00015224426,0.0017802526],"genre_scores_gemma":[0.9961118,0.00002439792,0.0022968233,0.000008657929,0.0000021695148,0.000025835014,0.0006192485,0.000014545298,0.00089669455],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999938,0.0000123426325,0.0000059388008,0.000017591907,0.000013211087,0.000012856039],"domain_scores_gemma":[0.9998863,0.000032951113,0.000016003867,0.000015381936,0.000031321295,0.000018047202],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019477226,0.0003853609,0.00024110217,0.00027383078,0.00028788947,0.0005824646,0.0004851463,0.0005107552,0.0010609425],"category_scores_gemma":[0.00032707717,0.00021136539,0.00041045927,0.00043552363,0.00017546344,0.00034329641,0.00035204168,0.00029546177,0.00019340745],"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":[0.00008319082,0.00016481713,0.054814715,0.00004873133,0.00004220266,0.00028716042,0.00011037138,0.9286558,0.0049512764,0.00043730938,0.0005468375,0.009857665],"study_design_scores_gemma":[0.000010798938,0.000029274073,0.010491011,0.0000020909638,0.000006229559,0.000011919196,0.000056089084,0.988364,0.00072892394,0.00006679502,0.00022737842,0.0000054848206],"about_ca_topic_score_codex":0.059878856,"about_ca_topic_score_gemma":0.06766687,"teacher_disagreement_score":0.059878856,"about_ca_system_score_codex":0.00071984984,"about_ca_system_score_gemma":0.0007892535,"threshold_uncertainty_score":0.119060636},"labels":[],"label_agreement":null},{"id":"W2560872482","doi":"10.14796/jwmm.c412","title":"Simulating the Upper St. Johns River for Extreme Events","year":2016,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Flood Risk Assessment and Management","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Watershed; Hydrology (agriculture); Oceanography; Environmental science; Archaeology; Geography; Geology","score_opus":0.029321230113971856,"score_gpt":0.24875562362923861,"score_spread":0.21943439351526675,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2560872482","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":[0.971951,0.00008948106,0.008138751,0.000622182,0.0000512572,0.000057353136,0.0021360386,0.00046454338,0.016489405],"genre_scores_gemma":[0.99340546,0.000052222327,0.0030271707,0.000049110196,0.000013548844,0.000032924272,0.001034595,0.00003071228,0.0023542254],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999858,0.000032149066,0.0000050522935,0.00003121756,0.000024092758,0.000049518927],"domain_scores_gemma":[0.9997224,0.000108489745,0.00003040006,0.000019601846,0.000059779773,0.000059311165],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023109493,0.0004719806,0.00038339995,0.00040044918,0.0007026839,0.0010512192,0.000978902,0.0012813971,0.0025145186],"category_scores_gemma":[0.00087416737,0.00034455647,0.0005123485,0.0006604859,0.00040851661,0.00071929645,0.0005470672,0.00071020896,0.00021439268],"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":[0.000035535777,0.000055159853,0.0052243434,0.000009593265,0.000014622458,0.00010175119,0.000029815481,0.99014014,0.0004914947,0.0008653306,0.0014374831,0.0015947302],"study_design_scores_gemma":[0.000012362608,0.000011410754,0.001751256,0.000002165733,0.0000051060683,0.000008462739,0.000028405526,0.9972445,0.00015454904,0.00025153294,0.00052433915,0.0000058988458],"about_ca_topic_score_codex":0.13110133,"about_ca_topic_score_gemma":0.13789578,"teacher_disagreement_score":0.13110133,"about_ca_system_score_codex":0.0015555582,"about_ca_system_score_gemma":0.001950695,"threshold_uncertainty_score":0.26067644},"labels":[],"label_agreement":null},{"id":"W2562380678","doi":"10.14796/jwmm.c413","title":"Improving Operational Water Quality Forecasting with Ensemble Data Assimilation","year":2016,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Hydrological Forecasting Using AI","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Institute of Environmental Research; University of Texas at Arlington; National Science Foundation","keywords":"Data assimilation; Assimilation (phonology); Computer science; Environmental science; Quality (philosophy); Water quality; Meteorology; Geography","score_opus":0.09872408788273863,"score_gpt":0.2722508972305022,"score_spread":0.1735268093477636,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2562380678","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":[0.26769128,0.0001979064,0.72831684,0.00029570045,0.00007419466,0.000040677776,0.00023865605,0.0016937351,0.0014509409],"genre_scores_gemma":[0.8743269,0.0001143469,0.12451007,0.00005871699,0.000040778174,0.0000489297,0.00045386623,0.00008569816,0.0003607604],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99967027,0.00009330042,0.000024605204,0.00006598487,0.00009852083,0.000047298097],"domain_scores_gemma":[0.99897194,0.0004300921,0.00010697428,0.00019671604,0.00025497354,0.00003941494],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013065651,0.0005450025,0.0006464469,0.00054256775,0.0003045924,0.0006681007,0.00069999194,0.000661525,0.00064376905],"category_scores_gemma":[0.004343908,0.00033107214,0.0006141116,0.0008075632,0.00021501195,0.0015112594,0.00091484946,0.0010620529,0.00017112045],"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":[0.000048225138,0.00006497143,0.0048196223,0.000013751124,0.000057919082,0.000020333915,0.00003965511,0.9275822,0.0031559751,0.0006322972,0.00052929664,0.06303572],"study_design_scores_gemma":[0.00000254678,0.0000049629125,0.00038476038,5.953516e-7,0.0000025168956,0.0000010091888,0.0000021159165,0.9990682,0.00029004703,0.00015838373,0.0000822985,0.0000026554853],"about_ca_topic_score_codex":0.025946118,"about_ca_topic_score_gemma":0.021925675,"teacher_disagreement_score":0.025946118,"about_ca_system_score_codex":0.00045711218,"about_ca_system_score_gemma":0.0008871986,"threshold_uncertainty_score":0.051590204},"labels":[],"label_agreement":null},{"id":"W2567298215","doi":"10.14796/jwmm.r228-13","title":"Factors Affecting Scour of Previously Captured Sediment from Stormwater Catchbasin Sumps","year":2008,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Soil erosion and sediment transport","field":"Agricultural and Biological Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Stormwater; Sediment; Environmental science; Hydrology (agriculture); Geology; Geotechnical engineering; Surface runoff; Geomorphology; Ecology","score_opus":0.05477523650342136,"score_gpt":0.2166315689142763,"score_spread":0.16185633241085493,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2567298215","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":[0.9998337,0.0000076410815,0.000023953797,0.0000030742428,4.4651352e-7,0.0000015822235,0.000022500362,0.0000012713572,0.000105695755],"genre_scores_gemma":[0.99946827,0.000020416106,0.0000619341,0.0000052428595,7.6671705e-7,0.0000031425839,0.00010128072,0.0000024084366,0.0003365283],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99980253,0.00001922108,0.0000151523045,0.000034763914,0.00006660233,0.00006179019],"domain_scores_gemma":[0.9989329,0.00024721722,0.00036957322,0.000034223955,0.00020941073,0.00020658078],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028895034,0.0002468339,0.00026651548,0.0004959759,0.0008378808,0.00080968224,0.00023032965,0.00019332982,0.0009362302],"category_scores_gemma":[0.001685233,0.00015601776,0.00016478363,0.0005884632,0.000334161,0.00048125943,0.00047655043,0.00032384993,0.00018833231],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004991315,0.00007219048,0.946587,0.000029738445,0.00005093156,0.0003655745,0.00071831455,0.000598791,0.045319878,0.000033933877,0.00010978306,0.0056146244],"study_design_scores_gemma":[0.0000011693777,0.00008021425,0.9970497,0.0000016767248,0.000006820305,0.00004784037,0.0003501333,0.00026581646,0.0021050186,0.000005476774,0.00008355924,0.0000025317522],"about_ca_topic_score_codex":0.04702292,"about_ca_topic_score_gemma":0.10823407,"teacher_disagreement_score":0.04702292,"about_ca_system_score_codex":0.00081397063,"about_ca_system_score_gemma":0.0005484649,"threshold_uncertainty_score":0.09349841},"labels":[],"label_agreement":null},{"id":"W2571344044","doi":"10.14796/jwmm.r228-21","title":"Locating Leaks in Water Distribution Systems Using Network Modeling","year":2008,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Water Systems and Optimization","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Coquitlam College","funders":"","keywords":"Environmental science; Computer science; Distribution (mathematics); Mathematics","score_opus":0.026923074255170515,"score_gpt":0.1956719138475215,"score_spread":0.16874883959235099,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2571344044","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":[0.03202747,0.00036745667,0.9601062,0.00020018936,0.000017192555,0.0000850005,0.00015850153,0.0005007663,0.0065372125],"genre_scores_gemma":[0.77295905,0.001997234,0.21297346,0.00006472371,0.000036829675,0.00045138548,0.00038896274,0.00016120297,0.010967093],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996642,0.00014363196,0.000014890767,0.00007551618,0.00006923057,0.000032544467],"domain_scores_gemma":[0.9995239,0.00033625105,0.000060906914,0.000015594094,0.000049792714,0.000013622311],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00051539956,0.0012908764,0.0006798575,0.0010158723,0.00060361676,0.0013386888,0.0007884901,0.0009680483,0.0019001124],"category_scores_gemma":[0.0014142509,0.0006007101,0.0008446464,0.0009706805,0.0006353577,0.0015671558,0.00081088825,0.000647026,0.00027239032],"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":[0.000006531802,0.000006175475,0.00028162514,0.000011471652,0.000004215342,0.000013842364,0.00001358609,0.99548584,0.00032102628,0.0015030568,0.000047252495,0.002305363],"study_design_scores_gemma":[0.0000011531426,0.0000036506292,0.00004972653,0.0000029254456,0.0000019636898,0.0000036243898,0.0000071578165,0.99840087,0.0001142906,0.0012030666,0.00020958083,0.000002019238],"about_ca_topic_score_codex":0.027339065,"about_ca_topic_score_gemma":0.0208993,"teacher_disagreement_score":0.027339065,"about_ca_system_score_codex":0.0014577613,"about_ca_system_score_gemma":0.0012454909,"threshold_uncertainty_score":0.054359853},"labels":[],"label_agreement":null},{"id":"W2574975948","doi":"10.14796/jwmm.c416","title":"Don't Throw the Baby Out with the Bathwater—Sample Collection and Processing Issues Associated with Particulate Solids in Stormwater","year":2017,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Urban Stormwater Management Solutions","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"University of Alabama","keywords":"Particulates; Stormwater; Stormwater management; Sample (material); Environmental science; Environmental health; Medicine; Surface runoff; Chemistry; Chromatography","score_opus":0.02460097500250237,"score_gpt":0.23815408026602336,"score_spread":0.213553105263521,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2574975948","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":[0.39132392,0.011467688,0.5202363,0.032564048,0.0062652426,0.0116234375,0.0036962114,0.002322806,0.020500276],"genre_scores_gemma":[0.34097496,0.008713164,0.6067949,0.01276547,0.0016829567,0.005277944,0.002246152,0.001788793,0.019755708],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.981564,0.005993894,0.0011966851,0.001387844,0.0092836,0.00057400163],"domain_scores_gemma":[0.9865781,0.004184457,0.0010908503,0.0020620383,0.0054846853,0.0005999357],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02220726,0.0007709442,0.00091620063,0.0017184893,0.0030858815,0.0045121117,0.0017292924,0.0025138715,0.004081938],"category_scores_gemma":[0.02657143,0.0009580809,0.00085482275,0.0017114825,0.002596754,0.0019443478,0.0015769777,0.0029618205,0.0041647726],"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":[0.0024518934,0.0012200543,0.09133436,0.003120536,0.00042351344,0.0017948196,0.0070739696,0.0027076725,0.4465175,0.005294976,0.05375896,0.38430178],"study_design_scores_gemma":[0.00027995824,0.0037398783,0.08773844,0.0019034246,0.00044246027,0.006565704,0.009835317,0.017611802,0.567332,0.0117616765,0.29245743,0.0003318979],"about_ca_topic_score_codex":0.0071002594,"about_ca_topic_score_gemma":0.020214992,"teacher_disagreement_score":0.02220726,"about_ca_system_score_codex":0.0009138803,"about_ca_system_score_gemma":0.0032740405,"threshold_uncertainty_score":0.117444634},"labels":[],"label_agreement":null},{"id":"W2578677649","doi":"10.14796/jwmm.c415","title":"Sewer Ventilation Modeling","year":2017,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Wind and Air Flow Studies","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Ventilation (architecture); Environmental science; Computer science; Engineering; Mechanical engineering","score_opus":0.02626447926964832,"score_gpt":0.24180119439164247,"score_spread":0.21553671512199415,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2578677649","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":[0.2087634,0.0008908288,0.717479,0.0006188603,0.00018180463,0.00046301502,0.0037287138,0.0022700098,0.06560442],"genre_scores_gemma":[0.90992,0.00077003305,0.03705851,0.000090176305,0.000036955487,0.0005557045,0.0014145472,0.00028011095,0.04987395],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997366,0.000040569354,0.000016711876,0.00007396205,0.00008511389,0.00004701695],"domain_scores_gemma":[0.99979085,0.00006172515,0.000027374415,0.00002134491,0.00008534487,0.00001330637],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023676478,0.0006060549,0.000840345,0.0005508313,0.00058939756,0.0014098133,0.0020916515,0.0017753823,0.0057063485],"category_scores_gemma":[0.00072285533,0.00040858376,0.0010074913,0.0006430329,0.00030887502,0.0011481838,0.0006189213,0.000709304,0.0014817344],"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":[0.000019350733,0.00004501764,0.0011976265,0.000064985215,0.000017966135,0.00010626311,0.00006648875,0.97658086,0.0036351567,0.008864558,0.0012178393,0.008183925],"study_design_scores_gemma":[0.0000067762603,0.00001205765,0.0004269911,0.000006524806,0.000006293675,0.000028252574,0.000012538092,0.9942926,0.0006386812,0.001642249,0.002920144,0.000006997332],"about_ca_topic_score_codex":0.016698502,"about_ca_topic_score_gemma":0.010137094,"teacher_disagreement_score":0.016698502,"about_ca_system_score_codex":0.001077166,"about_ca_system_score_gemma":0.0012380648,"threshold_uncertainty_score":0.03320265},"labels":[],"label_agreement":null},{"id":"W2580213918","doi":"10.14796/jwmm.r215-22","title":"Maintenance of Infiltration in Modular Interlocking Concrete Pavers with External Drainage Cells","year":2003,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Asphalt Pavement Performance Evaluation","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Interlocking; Infiltration (HVAC); Modular design; Geotechnical engineering; Drainage; Geology; Engineering; Computer science; Structural engineering; Materials science; Composite material","score_opus":0.009502301847836086,"score_gpt":0.19704192508676344,"score_spread":0.18753962323892734,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2580213918","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":[0.99785453,0.000028872151,0.0018234662,0.0000017844594,0.0000015446434,0.0000050671692,0.000017267399,0.000046995214,0.00022049574],"genre_scores_gemma":[0.99843913,0.000028279283,0.0011525576,0.0000010616707,9.872332e-7,0.0000039966208,0.00004184177,0.000006508938,0.00032565137],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99980754,0.00002670829,0.000012612374,0.000047229354,0.000058612197,0.0000472911],"domain_scores_gemma":[0.9996902,0.00006124067,0.00012809626,0.000044410415,0.000045179866,0.000030979467],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002110142,0.00033790772,0.00023083838,0.00026603593,0.00015012929,0.0002454289,0.0003178583,0.00015857723,0.00064035517],"category_scores_gemma":[0.0005536669,0.00009899864,0.0001936826,0.00020510681,0.00021618449,0.0002660831,0.00029301504,0.0001384009,0.00013658132],"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":[0.000651938,0.00041967185,0.031684678,0.00016569045,0.00004926709,0.00037902532,0.0001847154,0.07007527,0.83741134,0.00018616024,0.00009782768,0.05869432],"study_design_scores_gemma":[0.000046610687,0.0044424264,0.11315767,0.000023262013,0.00012740206,0.00044615383,0.00021404227,0.10091225,0.77773046,0.00013301052,0.0027338315,0.00003291648],"about_ca_topic_score_codex":0.0017027428,"about_ca_topic_score_gemma":0.002842477,"teacher_disagreement_score":0.0017027428,"about_ca_system_score_codex":0.00026169882,"about_ca_system_score_gemma":0.00018614356,"threshold_uncertainty_score":0.0033856034},"labels":[],"label_agreement":null},{"id":"W2580690269","doi":"10.14796/jwmm.c417","title":"The Performance Analysis of Two Relatively Small Capacity Urban Retrofit Stormwater Controls","year":2017,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Urban Stormwater Management Solutions","field":"Environmental Science","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"U.S. Environmental Protection Agency","keywords":"Stormwater; Stormwater management; Environmental science; Surface runoff","score_opus":0.03746655896183381,"score_gpt":0.23701429071613334,"score_spread":0.19954773175429952,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2580690269","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":[0.9924777,0.00005230887,0.003792474,0.00004248481,0.000016612146,0.00017319071,0.00019441367,0.00012401227,0.0031268431],"genre_scores_gemma":[0.99772173,0.000025341755,0.0011097187,0.000011970288,0.000003680428,0.00003753811,0.00014872786,0.000010401534,0.00093083095],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986846,0.00030429134,0.000078413876,0.00022103217,0.0005146779,0.00019700597],"domain_scores_gemma":[0.9948996,0.002307538,0.00055768626,0.00053501414,0.0013748046,0.0003254617],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013698152,0.00080807786,0.00047137652,0.0009806476,0.0005227517,0.000997781,0.0009813748,0.00062948104,0.0024232469],"category_scores_gemma":[0.0039795795,0.00025781142,0.00035905396,0.0008547699,0.00093237695,0.0010409635,0.00045466665,0.00053177547,0.00027148286],"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":[0.006069496,0.0071154176,0.050032627,0.000597575,0.0002607979,0.00064236205,0.0008026027,0.6841481,0.12160137,0.0045127138,0.002859272,0.12135767],"study_design_scores_gemma":[0.0007043737,0.030601783,0.10318144,0.0000380403,0.00025464324,0.00029201925,0.0020911284,0.62409455,0.22873718,0.0015097786,0.008292704,0.00020230727],"about_ca_topic_score_codex":0.011661835,"about_ca_topic_score_gemma":0.0122217275,"teacher_disagreement_score":0.011661835,"about_ca_system_score_codex":0.0019067761,"about_ca_system_score_gemma":0.00072123075,"threshold_uncertainty_score":0.023187876},"labels":[],"label_agreement":null},{"id":"W2582348706","doi":"10.14796/jwmm.c418","title":"Southeastern United States Observations of Stormwater Pollutant Strengths by Particle Size","year":2017,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Urban Stormwater Management Solutions","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"University of Alabama","keywords":"Stormwater; Environmental science; Pollutant; Stormwater management; Particle (ecology); Geography; Atmospheric sciences; Surface runoff; Geology; Chemistry; Oceanography; Ecology","score_opus":0.028051447908533665,"score_gpt":0.2369366717410594,"score_spread":0.20888522383252572,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2582348706","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":[0.7721684,0.001669517,0.0038925384,0.0007944625,0.00016173652,0.00022355618,0.12549771,0.0008268347,0.0947653],"genre_scores_gemma":[0.87498456,0.0027821749,0.009099627,0.0006773092,0.00007738533,0.00025305766,0.08386899,0.00010494667,0.028151905],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99986196,0.00000974657,0.000010094693,0.000029499397,0.00007226005,0.000016465112],"domain_scores_gemma":[0.9991775,0.00006161773,0.00013744336,0.000046389814,0.0005371783,0.00003984008],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028123928,0.00024458865,0.00014824161,0.0011140566,0.0004914606,0.00043899845,0.00023960164,0.00018616735,0.0027229346],"category_scores_gemma":[0.0004997784,0.00014330522,0.00014090109,0.0016925838,0.00009469531,0.00036126186,0.0003554654,0.00036527612,0.00096711214],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025387786,0.00016970672,0.81271654,0.0001707291,0.00015225024,0.00028773453,0.0007254897,0.0010351986,0.009418774,0.000586145,0.073144026,0.10133954],"study_design_scores_gemma":[0.000011201918,0.00004690361,0.9578838,0.000048507358,0.000030111463,0.00004923582,0.0004704733,0.0010608018,0.0026874286,0.00012880958,0.037571866,0.000010877491],"about_ca_topic_score_codex":0.17531297,"about_ca_topic_score_gemma":0.3703211,"teacher_disagreement_score":0.17531297,"about_ca_system_score_codex":0.0007962764,"about_ca_system_score_gemma":0.0005304221,"threshold_uncertainty_score":0.34858507},"labels":[],"label_agreement":null},{"id":"W2582512328","doi":"10.14796/jwmm.c419","title":"Development and Calibration of a Dual Drainage Model for the Cooksville Creek Watershed, Canada","year":2017,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Credit Valley Hospital","funders":"","keywords":"Hydrology (agriculture); Drainage; Watershed; Ponding; Stormwater; Environmental science; Drainage system (geomorphology); Storm; Flood myth; Calibration; Surface runoff; Geology; Geotechnical engineering; Geography; Computer science","score_opus":0.026372164925549592,"score_gpt":0.22197968217659464,"score_spread":0.19560751725104505,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2582512328","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":[0.83576286,0.00015888238,0.13616692,0.00043618135,0.00004529512,0.00035123626,0.0034050094,0.0011862706,0.022487216],"genre_scores_gemma":[0.9595318,0.000077587945,0.033513293,0.000029480561,0.000002389945,0.00012145381,0.0012174965,0.00007537565,0.0054311138],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99985504,0.0000171017,0.000006559231,0.000036686753,0.00004854387,0.00003609873],"domain_scores_gemma":[0.999731,0.00004583811,0.000016290704,0.000012761552,0.00016632945,0.000027707458],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029262924,0.00043251642,0.00037130914,0.00036060828,0.00084497646,0.0010290017,0.0015100979,0.0007502922,0.001617717],"category_scores_gemma":[0.0009458258,0.00035377336,0.00034195243,0.0005396401,0.0003967064,0.00039795312,0.00054494437,0.00056296686,0.00023624256],"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":[0.000018183453,0.000021746397,0.004433746,0.000008266912,0.000004305456,0.0000321501,0.00003131024,0.9902721,0.0005330358,0.00061446114,0.00040595455,0.003624759],"study_design_scores_gemma":[0.0000072638627,0.000003990976,0.0007526463,0.0000021564138,0.0000018098798,0.0000031215784,0.000016231807,0.99847907,0.0001981505,0.000093912975,0.00043729233,0.0000043782743],"about_ca_topic_score_codex":0.8628772,"about_ca_topic_score_gemma":0.78726614,"teacher_disagreement_score":0.13712281,"about_ca_system_score_codex":0.0071111596,"about_ca_system_score_gemma":0.011227254,"threshold_uncertainty_score":0.27586067},"labels":[],"label_agreement":null},{"id":"W2585601568","doi":"10.14796/jwmm.c420","title":"Investigating the Spatial and Temporal Variability of Precipitation using Entropy Theory","year":2017,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Climate variability and models","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Entropy (arrow of time); Apportionment; Principle of maximum entropy; Statistical physics; Environmental science; Econometrics; Mathematics; Climatology; Statistics; Thermodynamics; Physics; Geology; Political science","score_opus":0.03888079602903862,"score_gpt":0.26424033832419014,"score_spread":0.2253595422951515,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2585601568","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":[0.92481136,0.00018304435,0.072058156,0.000121259385,0.0000073441797,0.000022247601,0.00040540472,0.000040954932,0.0023500726],"genre_scores_gemma":[0.99723935,0.00006460618,0.002368497,0.000004496823,0.000009095466,0.000006298076,0.00015517444,0.000003750202,0.00014863866],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998115,0.00005771627,0.00001356304,0.00003712644,0.00005264662,0.000027384353],"domain_scores_gemma":[0.9989506,0.00059839984,0.00022839876,0.000074202704,0.00010417341,0.000044128392],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006348814,0.00019440084,0.00019121623,0.001230139,0.00029606099,0.00063144474,0.00030423573,0.00015789134,0.00032344513],"category_scores_gemma":[0.003337224,0.00012200508,0.000249823,0.0009878225,0.00043180233,0.00081858074,0.00045396743,0.00018329018,0.000030372192],"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":[0.000104588864,0.00004745023,0.60336256,0.00005967859,0.00023913819,0.00032111438,0.00071809493,0.32640612,0.006679684,0.02172807,0.00047118255,0.039862275],"study_design_scores_gemma":[0.000005286061,0.000025048588,0.21923022,0.0000062764902,0.000022841696,0.00005571106,0.00019032104,0.77097434,0.0008541707,0.00777897,0.0008411843,0.000015704318],"about_ca_topic_score_codex":0.05569998,"about_ca_topic_score_gemma":0.044840764,"teacher_disagreement_score":0.05569998,"about_ca_system_score_codex":0.0010839714,"about_ca_system_score_gemma":0.00062002183,"threshold_uncertainty_score":0.11075151},"labels":[],"label_agreement":null},{"id":"W2586472215","doi":"10.14796/jwmm.c421","title":"Investigation of the Tank Model for Urban Storm Water Management","year":2017,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Urban Stormwater Management Solutions","field":"Environmental Science","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Storm; Environmental science; Meteorology; Hydrology (agriculture); Water resource management; Geography; Engineering; Geotechnical engineering","score_opus":0.04337473800717773,"score_gpt":0.23246198368876028,"score_spread":0.18908724568158256,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2586472215","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":[0.4092078,0.00021338403,0.5355368,0.0010997396,0.00011448287,0.00038274782,0.0024413127,0.002024429,0.04897926],"genre_scores_gemma":[0.93169636,0.00025326633,0.05322105,0.00007350809,0.000016508267,0.0002106939,0.0006006689,0.0001531618,0.013774877],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998228,0.000055563974,0.000008636069,0.000029794852,0.00005810318,0.000025254654],"domain_scores_gemma":[0.99957126,0.00023068574,0.000042381693,0.000029587643,0.00009766842,0.00002829429],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00063823326,0.00037881825,0.00038917438,0.00019330863,0.0004040483,0.0006739682,0.0012422635,0.0004925644,0.0047014635],"category_scores_gemma":[0.001585648,0.00020308472,0.00043524016,0.0005097759,0.00030244183,0.0010055748,0.0004938648,0.00042382334,0.00043398156],"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":[0.00003457169,0.000021715832,0.0008374628,0.000014785318,0.000008450894,0.00003163066,0.000024826102,0.9818017,0.0009072186,0.011555024,0.0006148019,0.0041478057],"study_design_scores_gemma":[0.0000073711735,0.000010722448,0.00009692465,0.0000014327115,0.000003320747,0.000004286241,0.000005768863,0.9982168,0.00014673085,0.0007649115,0.0007390922,0.0000026675957],"about_ca_topic_score_codex":0.101618394,"about_ca_topic_score_gemma":0.08467369,"teacher_disagreement_score":0.101618394,"about_ca_system_score_codex":0.002403483,"about_ca_system_score_gemma":0.0031982025,"threshold_uncertainty_score":0.20205384},"labels":[],"label_agreement":null},{"id":"W2587160937","doi":"10.14796/jwmm.r225-11","title":"Comparison of Analytical and Simulation Approaches for Assessing Robustness of Reliability for Water Distribution Systems","year":2006,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Water Systems and Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Robustness (evolution); Reliability engineering; Reliability (semiconductor); Computer science; Environmental science; Engineering; Physics; Thermodynamics; Chemistry","score_opus":0.05542254958375193,"score_gpt":0.2760292195012183,"score_spread":0.22060666991746636,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2587160937","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":[0.12549886,0.004515557,0.85471666,0.0007751162,0.0001521198,0.0002072775,0.00020994054,0.00095716916,0.012967311],"genre_scores_gemma":[0.90694106,0.0020442388,0.08960085,0.00008013646,0.000093919196,0.00022741617,0.00019888571,0.00012034922,0.0006930248],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99316967,0.0040604076,0.00033105933,0.00026226087,0.001814989,0.00036167228],"domain_scores_gemma":[0.9632982,0.029535258,0.0016087606,0.0020959203,0.0031536836,0.00030820273],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00872752,0.0014093455,0.0010340298,0.004360769,0.0004776951,0.0013851982,0.0017681733,0.0012649165,0.0012347437],"category_scores_gemma":[0.0368556,0.00052959635,0.0011744093,0.0019217508,0.0010551633,0.0018643866,0.0012902318,0.0009787692,0.00015928024],"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":[0.00019590196,0.000061069564,0.0011553174,0.00012382583,0.00008180541,0.000025977566,0.00007997153,0.95863956,0.00085340266,0.012151292,0.00030237812,0.026329476],"study_design_scores_gemma":[0.000012739755,0.00007565455,0.000354751,0.000028039583,0.000020633945,0.000020318967,0.000032510823,0.99405473,0.00071241107,0.00420442,0.00046803273,0.000015811393],"about_ca_topic_score_codex":0.0059343316,"about_ca_topic_score_gemma":0.0033063232,"teacher_disagreement_score":0.00872752,"about_ca_system_score_codex":0.002080213,"about_ca_system_score_gemma":0.001508815,"threshold_uncertainty_score":0.04615611},"labels":[],"label_agreement":null},{"id":"W2588043204","doi":"10.14796/jwmm.c423","title":"Mathematical Modeling of Effluent Quality of Cha-Am Municipality Wastewater Treatment Pond System Using PCSWMM","year":2017,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Water Quality Monitoring Technologies","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Mahidol University","keywords":"Effluent; Environmental science; Wastewater; Sewage treatment; Quality (philosophy); Stabilization pond; Water quality; Environmental engineering; Water resource management; Ecology; Biology; Philosophy","score_opus":0.14848007375850117,"score_gpt":0.33672717506818317,"score_spread":0.188247101309682,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2588043204","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":[0.4864555,0.00096214935,0.44545084,0.0011821452,0.00011528678,0.0005216392,0.0024293112,0.0011032723,0.061779857],"genre_scores_gemma":[0.9764555,0.00028981757,0.009285149,0.00006247418,0.00001692471,0.00040178842,0.0003376358,0.000051129602,0.013099698],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996649,0.00005730188,0.000022107946,0.00008177425,0.000084325795,0.00008950584],"domain_scores_gemma":[0.9995247,0.00020721852,0.0000796023,0.000013710021,0.00015247718,0.000022230506],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00054809643,0.0007763725,0.00095552293,0.0007853007,0.0008392272,0.0013101308,0.0014586298,0.0016885663,0.0038962434],"category_scores_gemma":[0.0010299257,0.0005843298,0.0014302098,0.0008641029,0.00056018005,0.0008153415,0.00079476595,0.0010169114,0.00044143468],"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":[0.000012370696,0.00001474733,0.0007261753,0.00002983364,0.0000075618527,0.000056357774,0.000024797338,0.9963887,0.0007149474,0.00093758915,0.00014485508,0.0009421758],"study_design_scores_gemma":[0.0000036037277,0.000008888335,0.00018120474,0.000002204003,0.000003934512,0.0000072689563,0.000008510031,0.9993679,0.000114110255,0.00019606418,0.000103464896,0.000002976243],"about_ca_topic_score_codex":0.041599963,"about_ca_topic_score_gemma":0.015384175,"teacher_disagreement_score":0.041599963,"about_ca_system_score_codex":0.002277882,"about_ca_system_score_gemma":0.0018499336,"threshold_uncertainty_score":0.08271563},"labels":[],"label_agreement":null},{"id":"W2590256642","doi":"10.14796/jwmm.c426","title":"An Assessment of Source Water Quality in Karoi, Mashonaland West Province, Zimbabwe","year":2017,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Water Quality and Pollution Assessment","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Water quality; Water source; Quality (philosophy); Water resource management; Geography; Socioeconomics; Environmental science; Sociology; Ecology; Biology","score_opus":0.04076682770790807,"score_gpt":0.3458236213547858,"score_spread":0.3050567936468777,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2590256642","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":[0.9985605,0.00014546394,0.00019282807,0.000028630137,0.0000010504406,0.000040878058,0.000108247244,0.0000036426638,0.0009187793],"genre_scores_gemma":[0.99903476,0.00017778967,0.00042440303,0.000006746343,8.695628e-7,0.000025213485,0.000107352105,0.0000010078047,0.0002219139],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998159,0.000042374522,0.000013638863,0.000021120377,0.00005550565,0.00005154125],"domain_scores_gemma":[0.9998939,0.000024142915,0.000033418666,0.000005582057,0.00003106952,0.000011857696],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001806808,0.0002604453,0.00015871853,0.0011034191,0.00045388975,0.0007168896,0.00021494797,0.0001835275,0.0005764076],"category_scores_gemma":[0.0005904422,0.00015449531,0.00016124325,0.0010907359,0.0002891231,0.00030728162,0.00046503486,0.00016823772,0.00006516946],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002485656,0.00014447716,0.8994453,0.000319764,0.00014591585,0.0019274096,0.006396411,0.0014423513,0.03132352,0.0005787941,0.0003329412,0.057694577],"study_design_scores_gemma":[0.000012293356,0.00008634494,0.9940708,0.000032536755,0.00003496455,0.00017645706,0.0028349012,0.000984828,0.0008123743,0.000057523997,0.00088956143,0.0000072678217],"about_ca_topic_score_codex":0.12936151,"about_ca_topic_score_gemma":0.22844213,"teacher_disagreement_score":0.12936151,"about_ca_system_score_codex":0.0011098619,"about_ca_system_score_gemma":0.0007332003,"threshold_uncertainty_score":0.2572171},"labels":[],"label_agreement":null},{"id":"W2591213454","doi":"10.14796/jwmm.c425","title":"Modeling Investigation to Support Integrated Water Management in Southern Ontario: Considering Climate Change and Urbanization","year":2017,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Urbanization; Climate change; Environmental resource management; Environmental planning; Geography; Environmental science; Water resource management; Oceanography; Economic growth; Geology; Economics","score_opus":0.0472532388548508,"score_gpt":0.23554854202379555,"score_spread":0.18829530316894474,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2591213454","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":[0.9831308,0.00007945349,0.0021107139,0.00049144623,0.000007706249,0.00006238738,0.00080617046,0.00005245804,0.013258822],"genre_scores_gemma":[0.995808,0.00008013408,0.0014736608,0.000020161551,0.0000037996404,0.000024567524,0.00025210678,0.000008363239,0.0023292585],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99985003,0.000033437507,0.0000052170103,0.00002523098,0.000030741245,0.000055285505],"domain_scores_gemma":[0.9997371,0.00007541244,0.000033485263,0.000014221754,0.00008934038,0.00005041064],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024341496,0.00034069933,0.00029248054,0.0003475487,0.0011088721,0.0011736959,0.000894969,0.00069483405,0.0019701144],"category_scores_gemma":[0.0010446273,0.000251846,0.00036835324,0.0008151613,0.0005562206,0.0004761485,0.00054685713,0.00032321148,0.00008763535],"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":[0.00006138618,0.00006213313,0.028508332,0.000033331133,0.00003314364,0.00023640733,0.0002483318,0.9635399,0.00082762673,0.0025881473,0.0008866771,0.0029745772],"study_design_scores_gemma":[0.000050721654,0.000036274236,0.017360335,0.000009537717,0.00002562093,0.000019125902,0.0005638502,0.9788705,0.00019319922,0.0005926748,0.0022625104,0.000015699428],"about_ca_topic_score_codex":0.9546538,"about_ca_topic_score_gemma":0.9696721,"teacher_disagreement_score":0.0453462,"about_ca_system_score_codex":0.014763724,"about_ca_system_score_gemma":0.010770999,"threshold_uncertainty_score":0.107118845},"labels":[],"label_agreement":null},{"id":"W2596247651","doi":"10.14796/jwmm.r207-03","title":"Reducing Urban Litter in South Africa through Catchment Based Litter Management Plans","year":2001,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Water Research Commission","keywords":"Litter; Environmental science; Water resource management; Drainage basin; Geography; Environmental planning; Hydrology (agriculture); Ecology; Biology; Engineering; Cartography","score_opus":0.042418038731835,"score_gpt":0.2780689581549181,"score_spread":0.2356509194230831,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2596247651","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":[0.9930483,0.0001943074,0.0025055541,0.0002855815,0.0000032215962,0.0003037649,0.00007814836,0.00004324039,0.0035379378],"genre_scores_gemma":[0.9934093,0.00031488235,0.0045318548,0.000042650066,0.0000025980878,0.00011368677,0.00010454446,0.0000057978064,0.0014747365],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99963105,0.00013282913,0.000016762417,0.000023560271,0.00007733593,0.00011841489],"domain_scores_gemma":[0.9994129,0.00011263457,0.00020588683,0.00004035174,0.000095294614,0.00013299697],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00057173264,0.00014858125,0.0001682958,0.0009364028,0.00062115805,0.00082804804,0.0004004471,0.00027395535,0.0020265104],"category_scores_gemma":[0.0018052566,0.0001358323,0.00016287815,0.0011090665,0.0003179159,0.00043541196,0.0011826335,0.00016547313,0.000119807686],"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":[0.00038075773,0.0013284732,0.42789042,0.0009250662,0.000066824075,0.0031524906,0.0062409765,0.068766795,0.031003883,0.0059310417,0.0040037264,0.45030957],"study_design_scores_gemma":[0.000184019,0.0022475366,0.8902008,0.00036616827,0.00008801223,0.0009875925,0.01579262,0.0384365,0.0119395945,0.0051182387,0.03456932,0.00006955776],"about_ca_topic_score_codex":0.011522327,"about_ca_topic_score_gemma":0.045246307,"teacher_disagreement_score":0.011522327,"about_ca_system_score_codex":0.0011558309,"about_ca_system_score_gemma":0.0027435329,"threshold_uncertainty_score":0.022910535},"labels":[],"label_agreement":null},{"id":"W2600886195","doi":"10.14796/jwmm.r225-06","title":"Evaluation of Imperviousness Impacts in Large, Developing Watersheds","year":2006,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Environmental science","score_opus":0.022633239933999513,"score_gpt":0.25816615078479055,"score_spread":0.23553291085079103,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2600886195","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":[0.99284524,0.00008281153,0.004911332,0.000021702808,0.00000155039,0.00007992599,0.00018001332,0.0000305953,0.0018468158],"genre_scores_gemma":[0.9928591,0.00018022179,0.0061350544,0.0000046072005,0.0000017686275,0.0000378247,0.00017858665,0.00000839439,0.0005944433],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99918777,0.00028996918,0.000043362823,0.00008063043,0.0003209134,0.000077340344],"domain_scores_gemma":[0.99839777,0.0009456772,0.00024426158,0.000054879118,0.0002682653,0.00008914194],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012331154,0.00050310174,0.0003836358,0.001377995,0.00039261775,0.00094705226,0.00034019933,0.00034347415,0.0011116036],"category_scores_gemma":[0.0026146327,0.00022099561,0.00033303865,0.0013195336,0.0004210506,0.000948633,0.00059314,0.00023035161,0.000101295554],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010345577,0.001163824,0.5073834,0.00045239576,0.00022968494,0.0011028884,0.0011569553,0.2696799,0.06892772,0.0022619874,0.00047213314,0.14613459],"study_design_scores_gemma":[0.000048109276,0.0023230782,0.61911196,0.00005066985,0.00017724822,0.0002625236,0.0023486211,0.32681394,0.044006925,0.0026511038,0.0021241722,0.000081630074],"about_ca_topic_score_codex":0.0088542355,"about_ca_topic_score_gemma":0.023123719,"teacher_disagreement_score":0.0088542355,"about_ca_system_score_codex":0.0013744772,"about_ca_system_score_gemma":0.0008793703,"threshold_uncertainty_score":0.017605424},"labels":[],"label_agreement":null},{"id":"W2601605797","doi":"10.14796/jwmm.r228-18","title":"Representation of Non-Directly Connected Impervious Area in SWMM Runoff Modeling","year":2008,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Surface runoff; Impervious surface; Hydrology (agriculture); Representation (politics); Environmental science; Storm Water Management Model; Engineering; Geotechnical engineering; Stormwater; Ecology","score_opus":0.02683075662268087,"score_gpt":0.2379959867340555,"score_spread":0.21116523011137464,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2601605797","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":[0.27969703,0.0001466165,0.7030774,0.00014048911,0.000062775696,0.00017355553,0.0024683687,0.0017170572,0.012516722],"genre_scores_gemma":[0.89307433,0.00014177007,0.10088381,0.000045310357,0.000019489267,0.00018720841,0.0013937161,0.00028622584,0.003968208],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99979275,0.000046726444,0.000016923452,0.00004537035,0.000062708845,0.00003556137],"domain_scores_gemma":[0.999778,0.00007256009,0.000023772,0.0000387689,0.000071533526,0.00001545328],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031782224,0.00047270028,0.00034376277,0.00070695614,0.00024675953,0.00085046847,0.0011188436,0.00047899832,0.0023890247],"category_scores_gemma":[0.0011703382,0.00034960185,0.00060260476,0.0011975345,0.00023381993,0.0007926585,0.00056154054,0.00047474905,0.00044939254],"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":[0.000023600382,0.000057957164,0.0044032806,0.000039349223,0.000025348747,0.000078401536,0.000081070044,0.95826995,0.0042272476,0.0067883427,0.0010476551,0.024957776],"study_design_scores_gemma":[0.000006142773,0.000006967342,0.0018885388,0.0000054390716,0.000006789957,0.000019881603,0.000015169185,0.99123853,0.0013503544,0.0029052086,0.0025480655,0.00000902109],"about_ca_topic_score_codex":0.011191015,"about_ca_topic_score_gemma":0.016450813,"teacher_disagreement_score":0.011191015,"about_ca_system_score_codex":0.0007360164,"about_ca_system_score_gemma":0.00061266,"threshold_uncertainty_score":0.022251725},"labels":[],"label_agreement":null},{"id":"W2605592202","doi":"10.14796/jwmm.r223-19","title":"Applications and Limitations of Single-Phase Models to the Description of the Rapid Filling Pipe Problem","year":2005,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Water Systems and Optimization","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Conselho Nacional de Desenvolvimento Científico e Tecnológico","keywords":"Phase (matter); Computer science; Geology; Physics","score_opus":0.055564563199435354,"score_gpt":0.21101435540198088,"score_spread":0.1554497922025455,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2605592202","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":[0.06635631,0.0019918568,0.91702145,0.0009945319,0.00020820127,0.00019061232,0.00034615185,0.0003309794,0.012559922],"genre_scores_gemma":[0.81926626,0.0035385948,0.16489005,0.0002896164,0.0003152938,0.0006670862,0.00040885876,0.00026028254,0.010364043],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99949074,0.00019612495,0.000030970714,0.000060576334,0.00016433976,0.000057223857],"domain_scores_gemma":[0.9987149,0.00077481696,0.00014930758,0.0001169807,0.0001816788,0.00006233928],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008453876,0.0010131776,0.0015411262,0.0006657166,0.000508002,0.0011387202,0.0021920851,0.0022260626,0.0023189357],"category_scores_gemma":[0.002907657,0.0006676354,0.001629654,0.00064086675,0.0011442717,0.0018537518,0.0012766491,0.0015850292,0.00051613257],"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":[0.00001371534,0.00003802336,0.000388432,0.000090748574,0.000015302114,0.000054783406,0.000046712474,0.9751496,0.0011994084,0.018637197,0.00023510482,0.0041309325],"study_design_scores_gemma":[0.000003598835,0.000008469334,0.000032040756,0.0000060281623,0.0000016608383,0.000010350278,0.000006304736,0.9958026,0.00011155627,0.0035224808,0.0004914926,0.000003415315],"about_ca_topic_score_codex":0.007527166,"about_ca_topic_score_gemma":0.0026817305,"teacher_disagreement_score":0.007527166,"about_ca_system_score_codex":0.00069394696,"about_ca_system_score_gemma":0.0015805179,"threshold_uncertainty_score":0.014966726},"labels":[],"label_agreement":null},{"id":"W2606456276","doi":"10.14796/jwmm.r227-22","title":"Identifying Potential Pipe Failures: Toronto Case Study","year":2007,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Water Systems and Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Forensic engineering; Engineering","score_opus":0.015571254208560304,"score_gpt":0.23589539665308817,"score_spread":0.22032414244452786,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2606456276","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":[0.9746695,0.00033407408,0.006609223,0.0013537913,0.0000200794,0.0003731498,0.002440455,0.00017455612,0.01402511],"genre_scores_gemma":[0.98980904,0.00034624359,0.004278779,0.00008600904,0.00001202553,0.000061781066,0.00096987677,0.000019608226,0.004416604],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9993635,0.0001927104,0.00003579016,0.00008197748,0.00015612744,0.00016994991],"domain_scores_gemma":[0.99585104,0.002509498,0.00028889006,0.00018112587,0.00066777563,0.0005017494],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00086253585,0.0007934663,0.00039085455,0.0013181826,0.002492525,0.00094425824,0.0014150861,0.0023994162,0.0049838447],"category_scores_gemma":[0.004477221,0.0004322514,0.0006127169,0.0023598997,0.0012430879,0.00072488375,0.00093195646,0.0007901701,0.0003952655],"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":[0.0018955035,0.0018505148,0.1846543,0.0006013606,0.00027176976,0.03927391,0.007156517,0.65268433,0.004819867,0.008679452,0.02892443,0.069188036],"study_design_scores_gemma":[0.0010570203,0.0018195278,0.17850399,0.00020053878,0.0003610311,0.0035923366,0.023784,0.7590002,0.005374013,0.0048439438,0.021187022,0.0002764692],"about_ca_topic_score_codex":0.75119835,"about_ca_topic_score_gemma":0.8638966,"teacher_disagreement_score":0.24880165,"about_ca_system_score_codex":0.011099066,"about_ca_system_score_gemma":0.005898345,"threshold_uncertainty_score":0.50053376},"labels":[],"label_agreement":null},{"id":"W2606674716","doi":"10.14796/jwmm.r227-17","title":"Modeling Approach using PCSWMM to Support Infiltration/Inflow Remediation Area Studies","year":2007,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Groundwater flow and contamination studies","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Inflow; Environmental remediation; Infiltration (HVAC); Environmental science; Combined sewer; Hydrology (agriculture); Environmental engineering; Stormwater; Engineering; Geology; Geotechnical engineering; Contamination; Surface runoff; Geography; Meteorology; Oceanography; Ecology","score_opus":0.07209856275599318,"score_gpt":0.2844501151163871,"score_spread":0.21235155236039394,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2606674716","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":[0.150435,0.00012698187,0.8013752,0.0008129348,0.00014491472,0.0004497056,0.0031649964,0.0043970817,0.03909327],"genre_scores_gemma":[0.7354619,0.0002767848,0.24938215,0.00012160398,0.000067306835,0.00069791847,0.0014246512,0.00036485874,0.012202819],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998241,0.00005182746,0.000012662986,0.000034400397,0.000055965036,0.000021080223],"domain_scores_gemma":[0.9997292,0.00007559474,0.000024342533,0.0000339319,0.000113864255,0.000023085237],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037491124,0.00059057615,0.00049950555,0.00065836485,0.00069295266,0.0010216039,0.0015457569,0.0009501431,0.004041619],"category_scores_gemma":[0.00082454376,0.00037781885,0.0006747102,0.0006944663,0.0002565528,0.0007828443,0.00074418954,0.0007730353,0.0006632263],"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":[0.00001742356,0.000048401966,0.0013619702,0.000022275404,0.000018706822,0.00006476399,0.00003837655,0.9853505,0.0010621668,0.0035604537,0.00085901824,0.0075958692],"study_design_scores_gemma":[0.000006216027,0.0000049131145,0.00010457613,0.0000016881152,0.000003402871,0.0000046175182,0.000010195542,0.9978441,0.0002884258,0.0006299838,0.0010984718,0.000003483073],"about_ca_topic_score_codex":0.046919864,"about_ca_topic_score_gemma":0.033639267,"teacher_disagreement_score":0.046919864,"about_ca_system_score_codex":0.0008287138,"about_ca_system_score_gemma":0.0017761354,"threshold_uncertainty_score":0.09329349},"labels":[],"label_agreement":null},{"id":"W2606982978","doi":"10.14796/jwmm.r228-14","title":"Assessing the Effectiveness of Proprietary Stormwater Treatment Devices","year":2008,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Urban Stormwater Management Solutions","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Stormwater; Stormwater management; Environmental science; Space (punctuation); Environmental planning; Computer science; Surface runoff","score_opus":0.037180637982955525,"score_gpt":0.2565685061558872,"score_spread":0.2193878681729317,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2606982978","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":[0.9944131,0.0007376045,0.0010931466,0.0000615846,0.00004173963,0.00011058219,0.0006521513,0.000025619916,0.0028645238],"genre_scores_gemma":[0.9944364,0.00061922177,0.0018944897,0.000048420876,0.000024335706,0.00008087531,0.0005306915,0.000017163113,0.002348364],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9976053,0.00056349183,0.00022832621,0.00027372767,0.0011686517,0.00016037996],"domain_scores_gemma":[0.99410737,0.0031345563,0.0009950448,0.0004301714,0.0011760014,0.00015691476],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016449678,0.00047619984,0.00041470493,0.0007939261,0.00028464003,0.00064831943,0.0006984603,0.0012065185,0.0030397263],"category_scores_gemma":[0.0069871973,0.00018232489,0.0005813091,0.00066377735,0.00041938698,0.0011288422,0.00047311437,0.00048109866,0.00053222955],"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":[0.03181158,0.01223188,0.10699274,0.0033776974,0.00093033095,0.00072044076,0.00059042906,0.09296055,0.46780187,0.002512446,0.003983561,0.2760865],"study_design_scores_gemma":[0.000930694,0.13419831,0.11227165,0.00023476387,0.0011772504,0.0008877319,0.00090069487,0.049100544,0.6837984,0.0010637529,0.015280581,0.00015575506],"about_ca_topic_score_codex":0.0012386906,"about_ca_topic_score_gemma":0.0012310786,"teacher_disagreement_score":0.0030397263,"about_ca_system_score_codex":0.00058577186,"about_ca_system_score_gemma":0.00027517127,"threshold_uncertainty_score":0.01016885},"labels":[],"label_agreement":null},{"id":"W2607833032","doi":"10.14796/jwmm.r223-24b","title":"Appendix to Chapter 24 Sources of Pollutants in Urban Areas","year":2005,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Water Quality and Pollution Assessment","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Pollutant; Environmental planning; Environmental science; Appendix; Geography; Geology; Biology; Ecology","score_opus":0.02830980016735012,"score_gpt":0.2554640803256744,"score_spread":0.22715428015832428,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2607833032","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00205162,0.0025265398,0.017844833,0.006393088,0.006839601,0.001307412,0.3004241,0.0016727373,0.6609402],"genre_scores_gemma":[0.0104429005,0.0043058214,0.013590727,0.0017667821,0.0017443377,0.0015085061,0.1107684,0.0007882121,0.8550844],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9997918,0.000030590658,0.000018073171,0.00003331242,0.0001069682,0.000019119681],"domain_scores_gemma":[0.9981444,0.00060048554,0.0000698864,0.00008396652,0.0010504152,0.000050898845],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00022393267,0.0008976785,0.0006588437,0.0019361675,0.000623769,0.00087423075,0.0010967227,0.0007496768,0.5950586],"category_scores_gemma":[0.0030542705,0.00037838693,0.0005550989,0.0023970662,0.00017190774,0.0008546704,0.0008207365,0.00078560866,0.22876257],"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":[0.000010431394,0.00003356055,0.00020252097,0.00023082104,0.0000029520404,0.000045762863,0.00003192375,0.0007951215,0.00012976467,0.0033073255,0.97218937,0.02302057],"study_design_scores_gemma":[0.000015049467,0.000014018097,0.0017210216,0.00024060074,0.0000062768668,0.000068568,0.000056032244,0.00048525337,0.0002630466,0.005327614,0.99179417,0.000008374693],"about_ca_topic_score_codex":0.019879617,"about_ca_topic_score_gemma":0.02245156,"teacher_disagreement_score":0.5950586,"about_ca_system_score_codex":0.0010080765,"about_ca_system_score_gemma":0.0018079411,"threshold_uncertainty_score":0.5775997},"labels":[],"label_agreement":null},{"id":"W2608093724","doi":"10.14796/jwmm.r223-05","title":"GISRed 1.0, a GIS-based Tool for Water Distribution Models for Master Plans","year":2005,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Water Systems and Optimization","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Universitat Politècnica de València; Universitat de València","keywords":"Distribution (mathematics); Master plan; Computer science; Geography; Environmental planning; Environmental science; Mathematics","score_opus":0.023606581326336563,"score_gpt":0.20657447196678452,"score_spread":0.18296789064044797,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2608093724","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":[0.008725311,0.00016849878,0.7485109,0.00024665933,0.000110399706,0.00027219456,0.033584427,0.17911313,0.029268514],"genre_scores_gemma":[0.13126603,0.0006593174,0.74155474,0.00024055348,0.00007648387,0.0009674236,0.06157547,0.03354231,0.030117696],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99976426,0.00003520329,0.00002002608,0.000044700704,0.00011122858,0.000024633324],"domain_scores_gemma":[0.9995171,0.00017388914,0.000045322213,0.00009430388,0.00014278325,0.00002668831],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00073686766,0.0010346486,0.0007074957,0.0015379288,0.00046845377,0.0011262574,0.0020797323,0.00076278835,0.043588594],"category_scores_gemma":[0.0022291096,0.0011287916,0.0008061132,0.0016799145,0.00030026518,0.0017423219,0.0010756447,0.001083288,0.009563829],"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":[0.00014386527,0.000118189164,0.0032403604,0.0007369837,0.00012349342,0.0003575006,0.00043650554,0.42809042,0.005442592,0.036339354,0.3461967,0.17877401],"study_design_scores_gemma":[0.00011343143,0.000033290213,0.00089357694,0.000056245455,0.000036882695,0.0001930369,0.000081227525,0.6764922,0.0061913715,0.0148041,0.3010414,0.00006329627],"about_ca_topic_score_codex":0.00867638,"about_ca_topic_score_gemma":0.010808824,"teacher_disagreement_score":0.043588594,"about_ca_system_score_codex":0.00068925705,"about_ca_system_score_gemma":0.0014699433,"threshold_uncertainty_score":0.14581841},"labels":[],"label_agreement":null},{"id":"W2608809907","doi":"10.14796/jwmm.r223-20","title":"Calibration of BASINS HSP-F in Support of a Watershed Approach to CSO Long Term Control Planning","year":2005,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Watershed; Nonpoint source pollution; Term (time); Environmental science; Hydrology (agriculture); Calibration; Water resource management; Computer science; Ecology; Mathematics; Geology; Biology; Statistics; Water quality; Machine learning; Physics","score_opus":0.01807489048839201,"score_gpt":0.23385348780321874,"score_spread":0.21577859731482674,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2608809907","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":[0.6642555,0.00006636234,0.31629506,0.0005213703,0.00002206462,0.000382141,0.0018173609,0.0018197638,0.014820396],"genre_scores_gemma":[0.9380589,0.000046413097,0.05983192,0.00003737323,0.0000034758705,0.00017478326,0.00078508654,0.00008939851,0.00097250455],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993887,0.00027425753,0.00003166431,0.00009721711,0.00014613265,0.00006189587],"domain_scores_gemma":[0.99869245,0.0005579115,0.00010182401,0.00013483109,0.00046956626,0.000043445987],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014197322,0.00033189094,0.00043354902,0.00048206883,0.00046739395,0.0007966589,0.0008612436,0.0005117491,0.0017067922],"category_scores_gemma":[0.004414441,0.00039777506,0.0003871145,0.0007718226,0.00034517734,0.0009528719,0.0005839702,0.0007533729,0.00017332834],"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":[0.000023037903,0.000027949813,0.008236944,0.0000105835115,0.000014131542,0.000023680963,0.000040806128,0.9743377,0.0007765696,0.001588547,0.0005344903,0.014385611],"study_design_scores_gemma":[0.0000106288635,0.000035357785,0.005264081,0.0000065261893,0.000007021887,0.0000136162425,0.00005289428,0.9906951,0.0015953121,0.0011760592,0.0011301404,0.000013254529],"about_ca_topic_score_codex":0.06318161,"about_ca_topic_score_gemma":0.05261596,"teacher_disagreement_score":0.06318161,"about_ca_system_score_codex":0.002411651,"about_ca_system_score_gemma":0.0029308202,"threshold_uncertainty_score":0.1256277},"labels":[],"label_agreement":null},{"id":"W2608844908","doi":"10.14796/jwmm.r220-22","title":"Problems Encountered with the Measurement of Urban Litter entering the Stormwater Systems of Cape Town","year":2004,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Urban Stormwater Management Solutions","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Cape; Stormwater; Litter; Geography; Environmental science; Environmental planning; Archaeology; Engineering; Waste management; Surface runoff; Ecology; Biology","score_opus":0.023492348203703654,"score_gpt":0.18813471283340566,"score_spread":0.164642364629702,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2608844908","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":[0.8991601,0.0014747304,0.08005152,0.0010302103,0.00024136038,0.0013532068,0.002360192,0.0003668077,0.013961875],"genre_scores_gemma":[0.866151,0.0013660556,0.1256025,0.00030643176,0.0000785137,0.0010967717,0.0009332598,0.00010306376,0.0043624593],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9923528,0.0018860794,0.0005279319,0.00084515556,0.004007754,0.00038020615],"domain_scores_gemma":[0.9936713,0.0031930802,0.0007168576,0.0006607882,0.0015718112,0.00018620979],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0051206113,0.00061725744,0.00070474605,0.002327941,0.0022930729,0.0026547317,0.0016669695,0.00087662216,0.0011164402],"category_scores_gemma":[0.014171885,0.0007673673,0.0004601129,0.003813996,0.0012125664,0.0010665648,0.0015169624,0.00083091354,0.00032117218],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004517422,0.0003032761,0.5051391,0.0023352883,0.00027305773,0.0041281204,0.029475305,0.025546694,0.17165902,0.002914943,0.0035817227,0.2541917],"study_design_scores_gemma":[0.000067208915,0.0006373951,0.8195008,0.0007577859,0.00015472998,0.0019864521,0.024580022,0.030364947,0.08133366,0.0034911016,0.036928635,0.0001972114],"about_ca_topic_score_codex":0.08366706,"about_ca_topic_score_gemma":0.17790289,"teacher_disagreement_score":0.08366706,"about_ca_system_score_codex":0.002015092,"about_ca_system_score_gemma":0.0020283205,"threshold_uncertainty_score":0.16636014},"labels":[],"label_agreement":null},{"id":"W2608851721","doi":"10.14796/jwmm.r223-12","title":"Review of Historical Street Dust and Dirt Accumulation and Washoff Data","year":2005,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Air Quality and Health Impacts","field":"Environmental Science","cited_by":56,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"U.S. Environmental Protection Agency","keywords":"Dirt; Environmental science; Hydrology (agriculture); Geography; Geology; Cartography; Geotechnical engineering","score_opus":0.17305883403651318,"score_gpt":0.3574168645598273,"score_spread":0.18435803052331412,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2608851721","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.004516206,0.9704807,0.0044297436,0.0029501466,0.0019285177,0.00008690144,0.006766984,0.00016929241,0.0086714635],"genre_scores_gemma":[0.009810543,0.9783398,0.002837995,0.00070619234,0.0008336714,0.000053695006,0.0054538557,0.000063559615,0.0019007978],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99875057,0.00016722987,0.00028472728,0.00023538095,0.0005086076,0.00005348521],"domain_scores_gemma":[0.992804,0.0026076324,0.0008911933,0.0002118436,0.0032589668,0.00022637555],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002007133,0.0007419562,0.0010274417,0.009043539,0.00047951614,0.0018431662,0.00131069,0.00079518184,0.005111459],"category_scores_gemma":[0.006631739,0.00083920994,0.0007939674,0.013200131,0.0005671848,0.0029055316,0.0006851851,0.0012269001,0.002478671],"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":[0.000111635636,0.00008490977,0.007844679,0.022401623,0.00012517272,0.00037173927,0.00028887237,0.0028663091,0.0009272019,0.00420625,0.1005154,0.86025625],"study_design_scores_gemma":[0.000005057045,0.00007884904,0.019393805,0.012438013,0.00011138304,0.00068240013,0.00028943233,0.00047701213,0.00071613985,0.0011063942,0.96464723,0.000054363278],"about_ca_topic_score_codex":0.01553299,"about_ca_topic_score_gemma":0.019902714,"teacher_disagreement_score":0.01553299,"about_ca_system_score_codex":0.0017637947,"about_ca_system_score_gemma":0.0031401138,"threshold_uncertainty_score":0.03088516},"labels":[],"label_agreement":null},{"id":"W2610044962","doi":"10.14796/jwmm.r235-13","title":"Integration of SWMM into a Dam Break, Hurricane, and Extreme Flood Modeling and Damage Assessment Framework","year":2009,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Flood Risk Assessment and Management","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Flood myth; Dam break; Environmental science; Engineering; Civil engineering; Geography; Archaeology","score_opus":0.016593075931602874,"score_gpt":0.2614030320250744,"score_spread":0.24480995609347156,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2610044962","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":[0.080633245,0.00015847027,0.8649677,0.0005425131,0.00023230792,0.0002829522,0.004859187,0.027184809,0.021138858],"genre_scores_gemma":[0.322009,0.00023250328,0.65418696,0.0002950806,0.000084183215,0.00037004147,0.0129152285,0.0025428783,0.0073642186],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993851,0.00012112179,0.00006485885,0.00007269453,0.00027391908,0.0000823349],"domain_scores_gemma":[0.9990491,0.00015743033,0.00007711663,0.00021239225,0.0004262271,0.00007760022],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019771492,0.000609931,0.00052205636,0.0006019042,0.0003583294,0.0008582817,0.0015260697,0.00039127356,0.0029917762],"category_scores_gemma":[0.0018882297,0.00046105747,0.0011113881,0.00050582597,0.00022804723,0.00084454584,0.0013249271,0.00097074563,0.0009571056],"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":[0.00019529068,0.0005577865,0.018414082,0.0002603183,0.00047073112,0.00022831965,0.00033155084,0.7000125,0.008654058,0.03444046,0.027304191,0.2091307],"study_design_scores_gemma":[0.000039139046,0.00008179736,0.0036237459,0.000036932128,0.00006838579,0.000062300125,0.000056262546,0.91069615,0.0064912927,0.007243325,0.0715573,0.00004342399],"about_ca_topic_score_codex":0.0167368,"about_ca_topic_score_gemma":0.026231004,"teacher_disagreement_score":0.0167368,"about_ca_system_score_codex":0.00074290886,"about_ca_system_score_gemma":0.0019518657,"threshold_uncertainty_score":0.033278763},"labels":[],"label_agreement":null},{"id":"W2610317696","doi":"10.14796/jwmm.r225-16","title":"Sediment Transport in Grass Swales","year":2006,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Hydrology and Sediment Transport Processes","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Water Environment Research Foundation","keywords":"Swale; Sediment; Sediment transport; Environmental science; Geology; Hydrology (agriculture); Geomorphology; Geotechnical engineering; Ecology; Surface runoff; Biology","score_opus":0.009075055069405171,"score_gpt":0.2006340795806967,"score_spread":0.19155902451129153,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2610317696","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":[0.99912614,0.00007899947,0.00038910142,0.00000577804,0.0000012388764,0.0000033002063,0.000025360514,0.000006406598,0.00036372428],"genre_scores_gemma":[0.9977642,0.00020334983,0.00052395894,0.000005386474,0.000001030055,0.0000036921654,0.000091560585,0.000004625712,0.0014020477],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.999967,0.000002946969,0.0000020725324,0.000010652344,0.000007643324,0.00000976667],"domain_scores_gemma":[0.9999645,0.0000069515872,0.000009270812,0.0000019175568,0.000008930443,0.000008357154],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000060986746,0.00020429079,0.0001532593,0.00028813301,0.00029315977,0.00030144377,0.00015576757,0.00014439625,0.0008236109],"category_scores_gemma":[0.00010619287,0.00011092023,0.00015065027,0.00018501429,0.00014289437,0.00023352806,0.0002189004,0.00013391417,0.00016130292],"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":[0.00046349075,0.00014668122,0.076536976,0.00014923401,0.000046391036,0.0009073068,0.0008037024,0.009387134,0.8869898,0.0010604563,0.00025159345,0.023257343],"study_design_scores_gemma":[0.000066738154,0.0023450565,0.66359276,0.00006143986,0.0001262417,0.0005627167,0.0037460534,0.07520534,0.24588367,0.0016369923,0.006698243,0.00007468988],"about_ca_topic_score_codex":0.016804986,"about_ca_topic_score_gemma":0.0188433,"teacher_disagreement_score":0.016804986,"about_ca_system_score_codex":0.0004929326,"about_ca_system_score_gemma":0.00021337303,"threshold_uncertainty_score":0.033414364},"labels":[],"label_agreement":null},{"id":"W2613488195","doi":"10.14796/jwmm.c427","title":"Spatial and Temporal Variations of Dissolved Oxygen in Cha-Am Municipality Wastewater Treatment Ponds Using GIS Kriging Interpolation","year":2017,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Water Quality and Pollution Assessment","field":"Environmental Science","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Kriging; Wastewater; Environmental science; Sewage treatment; Interpolation (computer graphics); Biochemical oxygen demand; Environmental engineering; Hydrology (agriculture); Multivariate interpolation; Chemical oxygen demand; Geology; Computer science; Mathematics; Statistics; Machine learning; Artificial intelligence","score_opus":0.06547628891262275,"score_gpt":0.3146241656096717,"score_spread":0.24914787669704896,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2613488195","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":[0.9944748,0.00005333588,0.004221047,0.000020165324,0.0000028420027,0.000015486641,0.00045409056,0.00013625667,0.0006218965],"genre_scores_gemma":[0.991844,0.000043578097,0.0072792363,0.0000025947288,9.71613e-7,0.000022028647,0.00055337703,0.000007537404,0.000246682],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997652,0.00004297476,0.000019587753,0.000054898497,0.000082798746,0.000034571123],"domain_scores_gemma":[0.99973744,0.00006334869,0.00004903272,0.000022910666,0.00010920409,0.000018103825],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004315595,0.0002600736,0.00029143173,0.0010997279,0.00023807932,0.00053300883,0.00024409895,0.00022334949,0.00028681743],"category_scores_gemma":[0.0007800798,0.00021328332,0.0005317108,0.0028132282,0.00015972236,0.000234449,0.00037722324,0.00022883982,0.000071616996],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005174381,0.00025050706,0.68047667,0.0003092208,0.00029715474,0.0005699468,0.0018902324,0.18203495,0.031894192,0.0006290658,0.0009186368,0.10021195],"study_design_scores_gemma":[0.000025404295,0.00013794457,0.4970663,0.000025122961,0.000093298084,0.000098700526,0.0011014027,0.49207804,0.0063718255,0.00022990794,0.0027071582,0.00006481444],"about_ca_topic_score_codex":0.05537871,"about_ca_topic_score_gemma":0.06945756,"teacher_disagreement_score":0.05537871,"about_ca_system_score_codex":0.000712053,"about_ca_system_score_gemma":0.00093917263,"threshold_uncertainty_score":0.11011273},"labels":[],"label_agreement":null},{"id":"W2615754281","doi":"10.14796/jwmm.c428","title":"Two Dimensional Modeling to Simulate Stormwater Flows at Photovoltaic Solar Energy Sites","year":2017,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Water-Energy-Food Nexus Studies","field":"Environmental Science","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"U.S. Geological Survey","keywords":"Photovoltaic system; Environmental science; Stormwater; Solar energy; Surface runoff; Engineering; Electrical engineering; Ecology","score_opus":0.02658962373584037,"score_gpt":0.24025358739584782,"score_spread":0.21366396366000745,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2615754281","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":[0.77961206,0.00028568617,0.13481408,0.0009997793,0.00031813822,0.0007887728,0.018009352,0.0028660565,0.062306087],"genre_scores_gemma":[0.9364604,0.00028327852,0.04448481,0.00012589821,0.000042180916,0.0007905751,0.0044031,0.00020843018,0.013201358],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998084,0.000044520242,0.00001827473,0.00004368471,0.00004093519,0.000044386994],"domain_scores_gemma":[0.99952555,0.0001897989,0.000036987552,0.000032381828,0.00015979682,0.00005558895],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004229834,0.00063733914,0.00066653744,0.0008377503,0.00085660716,0.0014971287,0.0012573998,0.0015530585,0.0056917816],"category_scores_gemma":[0.0011304601,0.000489585,0.0010895826,0.0011923012,0.00040123594,0.00076047966,0.0007606206,0.0010817698,0.00061887526],"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":[0.0000136182825,0.00004336963,0.0015942962,0.000016537839,0.000008105215,0.000037876107,0.000024120125,0.99533844,0.00038264168,0.00079811004,0.0006023095,0.0011405952],"study_design_scores_gemma":[0.000012956312,0.000008850102,0.00040628383,0.0000031775528,0.0000031224354,0.0000035641924,0.000018654919,0.9984504,0.00019945716,0.00027512832,0.000613186,0.0000051970187],"about_ca_topic_score_codex":0.06343009,"about_ca_topic_score_gemma":0.047480114,"teacher_disagreement_score":0.06343009,"about_ca_system_score_codex":0.0014263543,"about_ca_system_score_gemma":0.0017558886,"threshold_uncertainty_score":0.12612182},"labels":[],"label_agreement":null},{"id":"W2618263415","doi":"10.14796/jwmm.r220-32","title":"Thermal Enrichment by Stormwater: Application to an Urban Area with Shopping Mall and Treatment Wetland","year":2004,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Urban Stormwater Management Solutions","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Stormwater; Wetland; Surface runoff; Environmental science; Urban runoff; Shopping mall; Stormwater management; Environmental engineering; Surface water; Hydrology (agriculture); Water resource management; Business; Ecology; Engineering; Advertising","score_opus":0.01231824458542588,"score_gpt":0.20191265644147116,"score_spread":0.18959441185604528,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2618263415","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":[0.9965675,0.000030474155,0.0019846011,0.00007075905,0.000008940156,0.000073828,0.000057015808,0.00010412608,0.0011028223],"genre_scores_gemma":[0.9938066,0.00009548433,0.004256583,0.000018692239,0.000006044852,0.000033253473,0.000057722064,0.000011861584,0.0017137366],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9998362,0.0000476893,0.0000072397766,0.000028056113,0.000035366746,0.000045379635],"domain_scores_gemma":[0.99974245,0.00008840626,0.000021643802,0.00002181807,0.00007208266,0.000053557833],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028727445,0.00065448135,0.00046036186,0.00040476577,0.0010511791,0.0005499324,0.00079967733,0.0011381768,0.0019267998],"category_scores_gemma":[0.0004395856,0.00022784315,0.0005413657,0.00063622976,0.00038315347,0.00031148648,0.0005236484,0.00027057948,0.0002159865],"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":[0.00276328,0.010626197,0.11205297,0.0007143754,0.00023397166,0.010634351,0.0020632513,0.57466507,0.106211856,0.0018571238,0.0037114893,0.17446604],"study_design_scores_gemma":[0.00039308245,0.0046547754,0.06538815,0.000017960858,0.00019393547,0.0006819911,0.0032915592,0.87979114,0.040806826,0.0008858482,0.0037816844,0.00011299261],"about_ca_topic_score_codex":0.051816143,"about_ca_topic_score_gemma":0.056225073,"teacher_disagreement_score":0.051816143,"about_ca_system_score_codex":0.0010144439,"about_ca_system_score_gemma":0.00094245566,"threshold_uncertainty_score":0.10302907},"labels":[],"label_agreement":null},{"id":"W2618283549","doi":"10.14796/jwmm.r245-06","title":"An Integrated Hydrodynamic Approach to River, Sewer and Overland Flow Modeling","year":2012,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Flood Risk Assessment and Management","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Surface runoff; Hydrology (agriculture); Environmental science; Flow (mathematics); Geology; Geotechnical engineering; Mechanics; Physics; Ecology","score_opus":0.01208765546971682,"score_gpt":0.22436672358343646,"score_spread":0.21227906811371963,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2618283549","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":[0.02997019,0.00025058456,0.9580214,0.00051760435,0.0001330988,0.00011662292,0.00029811054,0.0006207341,0.010071637],"genre_scores_gemma":[0.60546464,0.00082446774,0.3734351,0.00027438853,0.00034200706,0.00074060453,0.0008507592,0.00048960355,0.017578425],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996289,0.000120807286,0.00003271883,0.00006246503,0.00010403717,0.000050973526],"domain_scores_gemma":[0.9994288,0.00026473697,0.000050312356,0.00003665583,0.00015577312,0.000063769316],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00074780633,0.0007973767,0.0013753695,0.00075236673,0.0010127004,0.0020466372,0.0023790447,0.0020117136,0.0030092017],"category_scores_gemma":[0.0019682804,0.0013758027,0.0015640641,0.0010329664,0.00075089233,0.001846163,0.0018193144,0.0018033655,0.0005669],"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":[0.000006604712,0.000034185305,0.00021437024,0.0000072243092,0.00002145491,0.000019907106,0.000014932189,0.99161875,0.00019783794,0.004381705,0.00027391638,0.003209073],"study_design_scores_gemma":[0.000003214892,0.0000030462613,0.000033159267,7.840752e-7,0.0000026971552,0.0000012508725,0.0000025203433,0.9988285,0.000027313034,0.0008563175,0.000239125,0.0000020520947],"about_ca_topic_score_codex":0.04945827,"about_ca_topic_score_gemma":0.036050364,"teacher_disagreement_score":0.04945827,"about_ca_system_score_codex":0.0013681784,"about_ca_system_score_gemma":0.0031789804,"threshold_uncertainty_score":0.09834075},"labels":[],"label_agreement":null},{"id":"W2620030415","doi":"10.14796/jwmm.c429","title":"Hydraulic Characterization of Porous Materials Using a Rainfall Simulator to Model Flows in Natural and Artificial Non-Saturated Materials","year":2017,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Hydraulic flow and structures","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"European Regional Development Fund","keywords":"Surface runoff; Environmental science; Porosity; Constant (computer programming); Intensity (physics); Simulation; Computer science; Geotechnical engineering; Engineering; Physics","score_opus":0.016824258849571925,"score_gpt":0.2393030903617138,"score_spread":0.22247883151214187,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2620030415","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":[0.9060453,0.000077099256,0.091466926,0.000035623707,0.000009210749,0.000055760236,0.00031001106,0.0003549801,0.0016450344],"genre_scores_gemma":[0.99115086,0.000046259596,0.008430298,0.0000030639433,0.0000015965215,0.000024994863,0.000086034845,0.000008778617,0.00024815407],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999409,0.000012611193,0.0000055425276,0.000009987222,0.000021342536,0.000009691779],"domain_scores_gemma":[0.9997348,0.0001337576,0.00003823757,0.00003504345,0.00004068195,0.000017441476],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017572966,0.0001587547,0.00014687849,0.0003205072,0.00010004769,0.00024197315,0.00029544038,0.00023790346,0.00041272098],"category_scores_gemma":[0.00041599118,0.00008973563,0.0001831789,0.00030959497,0.00024457581,0.00020911625,0.00016506214,0.00014099167,0.00004167007],"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":[0.00004250773,0.00009283099,0.0043169563,0.000042646516,0.000013351055,0.00007002768,0.000066863395,0.9276561,0.056060378,0.001723736,0.000095203584,0.00981937],"study_design_scores_gemma":[0.000009991509,0.00005572875,0.0029261566,0.0000027256901,0.0000047597528,0.000023816157,0.000013641897,0.98089874,0.015323793,0.00039213683,0.00034090484,0.000007517063],"about_ca_topic_score_codex":0.0015845748,"about_ca_topic_score_gemma":0.001275848,"teacher_disagreement_score":0.0015845748,"about_ca_system_score_codex":0.00025513532,"about_ca_system_score_gemma":0.00038909834,"threshold_uncertainty_score":0.0031507611},"labels":[],"label_agreement":null},{"id":"W2621250586","doi":"10.14796/jwmm.r236-24","title":"Hierarchical Optimization of Integrated Water Reuse Schemes","year":2010,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Water resources management and optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"European Commission","keywords":"Reuse; Computer science; Environmental science; Water resource management; Waste management; Engineering","score_opus":0.008949176332438356,"score_gpt":0.19426750004872342,"score_spread":0.18531832371628507,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2621250586","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":[0.28365454,0.00086962036,0.6739134,0.0006462695,0.00011312637,0.0002706601,0.0005308357,0.000679962,0.039321538],"genre_scores_gemma":[0.9633678,0.00018717536,0.02981842,0.000084058964,0.000015178081,0.00015178118,0.00017122681,0.000057521193,0.0061469357],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995072,0.0001295756,0.000017304774,0.000085501495,0.00009725822,0.00016323016],"domain_scores_gemma":[0.9992495,0.00040790584,0.00009933356,0.00003949506,0.0001320332,0.000071762945],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009559773,0.0008901152,0.0013999115,0.0006561283,0.00044128008,0.001250266,0.0012104714,0.0013218228,0.0065168254],"category_scores_gemma":[0.0021420126,0.0006815932,0.0007644173,0.0007767625,0.0007748119,0.0009383233,0.0013338126,0.00080318993,0.00041995346],"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":[0.00003191018,0.000020285512,0.00012795566,0.00001425981,0.000009545969,0.000013935368,0.000006198082,0.9952425,0.00020738813,0.0015029158,0.00016822695,0.0026549655],"study_design_scores_gemma":[0.0000089731775,0.000020108042,0.000057249174,0.000001940014,0.0000040817813,0.0000017918736,0.0000050780327,0.9989378,0.00006594922,0.00077243865,0.00012295126,0.0000017285048],"about_ca_topic_score_codex":0.015019671,"about_ca_topic_score_gemma":0.010701872,"teacher_disagreement_score":0.015019671,"about_ca_system_score_codex":0.0015432024,"about_ca_system_score_gemma":0.0014964902,"threshold_uncertainty_score":0.02986455},"labels":[],"label_agreement":null},{"id":"W2623255747","doi":"10.14796/jwmm.r236-06","title":"Physical Investigation of Discrete Air Pocket Migration and Release in CSO Storage Tunnels","year":2010,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Tunneling and Rock Mechanics","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Environmental science","score_opus":0.007835125193175252,"score_gpt":0.19862310762216484,"score_spread":0.1907879824289896,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2623255747","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":[0.99844956,0.00002636565,0.0011458524,0.000014861246,0.0000030507797,0.000011447861,0.000048843536,0.000021006059,0.00027896147],"genre_scores_gemma":[0.9989085,0.000023185092,0.00073656987,0.0000029718917,8.0283746e-7,0.000008210792,0.000027946962,0.0000019012489,0.00028979278],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998896,0.00001212231,0.0000073394517,0.000024932786,0.000032505584,0.000033423883],"domain_scores_gemma":[0.99958926,0.00015122838,0.000081709826,0.000044335942,0.000070868766,0.00006258795],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027026495,0.0001607816,0.00025221318,0.00027717344,0.00044631772,0.00037169308,0.0002967901,0.00035840503,0.0012385319],"category_scores_gemma":[0.0004951297,0.00015169215,0.00017989227,0.00022370627,0.0005280255,0.000416376,0.00029113097,0.00029586797,0.00008669734],"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":[0.0012547916,0.00035349085,0.043883786,0.00024126325,0.000021471795,0.0011728486,0.0006865816,0.05976308,0.876705,0.0011529376,0.00039809462,0.014366719],"study_design_scores_gemma":[0.00016733336,0.0028836501,0.15381302,0.00006977715,0.000036405938,0.00074064155,0.0025342228,0.48484007,0.35152122,0.0008421837,0.0024403431,0.00011110562],"about_ca_topic_score_codex":0.0020648951,"about_ca_topic_score_gemma":0.0030712879,"teacher_disagreement_score":0.0020648951,"about_ca_system_score_codex":0.00028184886,"about_ca_system_score_gemma":0.00040014868,"threshold_uncertainty_score":0.0041432977},"labels":[],"label_agreement":null},{"id":"W2624207207","doi":"10.14796/jwmm.r207-08","title":"Use of SLAMM in Evaluating Best Management Practices","year":2001,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Water Quality and Pollution Assessment","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"U.S. Environmental Protection Agency","keywords":"Best practice; Political science","score_opus":0.2020609969280777,"score_gpt":0.3711308710344371,"score_spread":0.1690698741063594,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2624207207","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":[0.8965715,0.00037421234,0.07780335,0.0004856433,0.00008839365,0.0017152185,0.0022136664,0.00065912836,0.020088919],"genre_scores_gemma":[0.8863147,0.00016736283,0.110700816,0.00008081962,0.000013606521,0.0012081767,0.0008553688,0.00004287478,0.0006161466],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9657647,0.023397371,0.002088246,0.001240456,0.0066740084,0.00083535846],"domain_scores_gemma":[0.9210259,0.055765603,0.008905511,0.0044174106,0.009059737,0.00082595646],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.028409315,0.0012156409,0.0009976474,0.007305115,0.00094514654,0.002866195,0.0011091453,0.0012995978,0.0012866772],"category_scores_gemma":[0.07798458,0.0003978953,0.0010079507,0.0062262267,0.00090368564,0.00291123,0.002030247,0.0007894337,0.0002400885],"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":[0.0021584765,0.001861009,0.29612496,0.0008117277,0.00091355917,0.00024930827,0.0019747731,0.41486472,0.003294129,0.010175814,0.0029013446,0.26467022],"study_design_scores_gemma":[0.00028919635,0.0053985757,0.100627035,0.0002961797,0.0002687918,0.00012617184,0.003381295,0.86725175,0.005923645,0.010188561,0.006077671,0.00017108208],"about_ca_topic_score_codex":0.012915754,"about_ca_topic_score_gemma":0.021938547,"teacher_disagreement_score":0.028409315,"about_ca_system_score_codex":0.0041623884,"about_ca_system_score_gemma":0.003037942,"threshold_uncertainty_score":0.15024465},"labels":[],"label_agreement":null},{"id":"W2624547213","doi":"10.14796/jwmm.r235-03","title":"A Proposal for a New Research Direction","year":2009,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Urban Stormwater Management Solutions","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science","score_opus":0.061693663625313554,"score_gpt":0.309080365865966,"score_spread":0.24738670224065243,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2624547213","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0017073776,0.007865105,0.018596565,0.90640414,0.024319485,0.00023478422,0.00027890387,0.00027769757,0.040315993],"genre_scores_gemma":[0.11513724,0.038298752,0.16751103,0.44796038,0.033017326,0.0033139142,0.0011291516,0.00072064693,0.19291164],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.98782104,0.004097509,0.0006942421,0.0023236428,0.003131463,0.0019321393],"domain_scores_gemma":[0.9637101,0.009016048,0.001187595,0.0032658102,0.014944628,0.007875916],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02823565,0.0013896339,0.0017953978,0.0038577048,0.007290537,0.019678095,0.0055226455,0.02016745,0.061091147],"category_scores_gemma":[0.02671061,0.00062010135,0.0025571138,0.0033847243,0.017269066,0.03299395,0.011080638,0.019948771,0.015797494],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016879177,0.0003574564,0.0008762652,0.00055252184,0.00004391839,0.00025363834,0.000986239,0.00056841265,0.0006445832,0.7428252,0.19688553,0.055837348],"study_design_scores_gemma":[0.00013054209,0.00020380675,0.00051663746,0.00084378326,0.000039200106,0.00019065318,0.00626863,0.0011156882,0.00039720192,0.49574006,0.49446,0.00009382154],"about_ca_topic_score_codex":0.0053428253,"about_ca_topic_score_gemma":0.0064621307,"teacher_disagreement_score":0.061091147,"about_ca_system_score_codex":0.0052313353,"about_ca_system_score_gemma":0.038615763,"threshold_uncertainty_score":0.20437026},"labels":[],"label_agreement":null},{"id":"W2626172647","doi":"10.14796/jwmm.r235-08","title":"Video Processing Techniques for Assisted CCTV Inspection and Condition Rating of Sewers","year":2009,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Infrastructure Maintenance and Monitoring","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"National Research Council Canada; University of Regina","funders":"University of Regina","keywords":"Sanitary sewer; Computer science; Environmental science; Engineering; Waste management","score_opus":0.009133768704853936,"score_gpt":0.23687002669149526,"score_spread":0.22773625798664132,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2626172647","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":[0.01790408,0.00035526685,0.9756703,0.0000479053,0.00004895331,0.00019591952,0.0002760306,0.0026803908,0.0028212073],"genre_scores_gemma":[0.11179399,0.00071033085,0.88246834,0.000043846787,0.00005119291,0.00046506154,0.00068372005,0.0002855883,0.0034979885],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99944586,0.000080868675,0.000026255668,0.000104848645,0.00030433777,0.000037918402],"domain_scores_gemma":[0.99896824,0.00035997282,0.00009306079,0.00010984846,0.00044513366,0.000023745928],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00056285685,0.0005942777,0.00045013533,0.002276697,0.00035129423,0.00077437237,0.00094075204,0.00046962674,0.004906486],"category_scores_gemma":[0.002091361,0.00039992004,0.00036262773,0.0014057892,0.00023682891,0.00060344016,0.0003941574,0.00053362927,0.0012910997],"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":[0.0001911959,0.00006959061,0.0015664515,0.00030869685,0.000038500006,0.00017762843,0.00026397643,0.00897228,0.23381971,0.0025718666,0.003983307,0.74803674],"study_design_scores_gemma":[0.00014261388,0.00063230953,0.024854548,0.0002489888,0.0001843622,0.0022660585,0.00047218014,0.45002964,0.4530145,0.004247823,0.0637135,0.00019351143],"about_ca_topic_score_codex":0.0043962626,"about_ca_topic_score_gemma":0.007581786,"teacher_disagreement_score":0.004906486,"about_ca_system_score_codex":0.00050329335,"about_ca_system_score_gemma":0.000568377,"threshold_uncertainty_score":0.016413808},"labels":[],"label_agreement":null},{"id":"W2626509145","doi":"10.14796/jwmm.r220-25","title":"Communicating Flooding Issues to the Public at Large","year":2004,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Communication Studies and Media","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Flooding (psychology); Business; Environmental science; Psychology","score_opus":0.08518216677190973,"score_gpt":0.3535535068636897,"score_spread":0.26837134009178,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2626509145","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06784093,0.009123337,0.0028523335,0.6954252,0.0077526877,0.00034615488,0.00051775627,0.0011424782,0.21499924],"genre_scores_gemma":[0.73891705,0.024475602,0.0031540773,0.13644682,0.011213669,0.00081071956,0.00073399884,0.00047285654,0.08377523],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.99559635,0.002375631,0.00029803964,0.00022429344,0.0007895634,0.0007161644],"domain_scores_gemma":[0.9857662,0.007140849,0.0013610494,0.00085744244,0.002248601,0.0026259066],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006789241,0.00075670425,0.0007119224,0.002217684,0.008384575,0.0077416683,0.0009498884,0.006490443,0.047556758],"category_scores_gemma":[0.029774105,0.0006567928,0.00032215935,0.0014534987,0.002527323,0.010901088,0.012014564,0.0049615693,0.014754473],"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":[0.000119245204,0.00028156166,0.013263134,0.000533715,0.000021601732,0.004891364,0.087085575,0.00012298096,0.0028234022,0.008502186,0.7401408,0.14221446],"study_design_scores_gemma":[0.000030168261,0.00012127955,0.005769234,0.00073027884,0.000019536845,0.001670576,0.08528369,0.0001987243,0.00047298198,0.0061570667,0.8994804,0.00006601141],"about_ca_topic_score_codex":0.0026391025,"about_ca_topic_score_gemma":0.002490899,"teacher_disagreement_score":0.047556758,"about_ca_system_score_codex":0.0035337012,"about_ca_system_score_gemma":0.0030326522,"threshold_uncertainty_score":0.1590932},"labels":[],"label_agreement":null},{"id":"W2641220268","doi":"10.14796/jwmm.r223-02","title":"A Genetic Algorithm for the Minimum Cost Design of a Stormwater System","year":2005,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Water Systems and Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Genetic algorithm; Minification; Stormwater; Stormwater management; Computer science; Mathematical optimization; Algorithm; Mathematics; Machine learning; Surface runoff; Biology; Ecology","score_opus":0.019965534360242593,"score_gpt":0.19910205837112488,"score_spread":0.1791365240108823,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2641220268","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":[0.004509862,0.00010089341,0.9928812,0.00006305282,0.000015357631,0.000090358706,0.00003353875,0.00016567287,0.0021401923],"genre_scores_gemma":[0.16769825,0.0002585977,0.82774675,0.000089463116,0.000023778068,0.0010331973,0.00017954234,0.000108636326,0.0028617824],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994424,0.00021232961,0.0000195804,0.000061414044,0.00020731332,0.00005701899],"domain_scores_gemma":[0.99940276,0.00038242407,0.000053114985,0.00001973144,0.00012310622,0.000018904175],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014172703,0.0013110065,0.0011623817,0.0012295487,0.00061620586,0.00077720085,0.0011067874,0.0014797604,0.002944061],"category_scores_gemma":[0.002416421,0.00069276115,0.00083372754,0.0010482421,0.00076950557,0.0005719259,0.0007105695,0.0011030192,0.00043301703],"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":[0.000010710012,0.0000130287835,0.00009469341,0.000023913834,0.000014558853,0.00001642729,0.000016065433,0.9777025,0.00037821956,0.004929148,0.00030458427,0.016496219],"study_design_scores_gemma":[0.000018517047,0.000032337754,0.000049922124,0.0000076161255,0.000008149369,0.000008199784,0.000004840702,0.9960884,0.00019784903,0.002848059,0.00073212,0.000003991373],"about_ca_topic_score_codex":0.007562797,"about_ca_topic_score_gemma":0.006659165,"teacher_disagreement_score":0.007562797,"about_ca_system_score_codex":0.0012016286,"about_ca_system_score_gemma":0.0022715912,"threshold_uncertainty_score":0.015037537},"labels":[],"label_agreement":null},{"id":"W2721810300","doi":"10.14796/jwmm.r206-10","title":"Real Time Flow Prediction using Fuzzy Logic Models","year":2000,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Hydrological Forecasting Using AI","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Fuzzy logic; Computer science; Artificial intelligence","score_opus":0.03688157462857427,"score_gpt":0.2352627038848738,"score_spread":0.19838112925629953,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2721810300","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":[0.122841105,0.00044592324,0.8650148,0.0003628912,0.0001110021,0.000058317477,0.00039337337,0.001750303,0.009022311],"genre_scores_gemma":[0.9365993,0.0002923459,0.058844484,0.000051846193,0.00002809591,0.000079596226,0.00028748158,0.000035086177,0.003781598],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997899,0.00004731508,0.0000142480685,0.000046526828,0.000077994795,0.000023986875],"domain_scores_gemma":[0.99965084,0.00015848351,0.000050423118,0.000020832988,0.00010453833,0.000014933188],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004540451,0.0004511044,0.00037998,0.00062625296,0.00029215866,0.0008869865,0.00063482084,0.00055663346,0.001986994],"category_scores_gemma":[0.0011634694,0.00024136047,0.00042244286,0.0005601982,0.0002743911,0.0010104587,0.00023074595,0.0005470299,0.0003436779],"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":[0.000048175694,0.000031836298,0.00047915737,0.000018536119,0.000016021646,0.000025467969,0.000019028805,0.97229284,0.0016797516,0.002288543,0.00036231012,0.022738416],"study_design_scores_gemma":[0.000004139974,0.0000064789406,0.00007949304,0.00000157093,0.00000208401,0.000002623722,0.0000016051666,0.9988508,0.00027791667,0.0006364051,0.00013418513,0.0000027329213],"about_ca_topic_score_codex":0.020415949,"about_ca_topic_score_gemma":0.01268801,"teacher_disagreement_score":0.020415949,"about_ca_system_score_codex":0.00091991597,"about_ca_system_score_gemma":0.0007511925,"threshold_uncertainty_score":0.04059428},"labels":[],"label_agreement":null},{"id":"W2734614064","doi":"10.14796/jwmm.r208-10","title":"Buffalo River Floatables Control and Continuous Water Quality Monitoring Demonstration Project","year":2002,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Water Quality Monitoring Technologies","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Outfall; Float (project management); Environmental science; Water quality; Trap (plumbing); Hydrology (agriculture); Water resource management; Environmental engineering; Engineering; Marine engineering; Geotechnical engineering","score_opus":0.049267457829588863,"score_gpt":0.26281041123289095,"score_spread":0.2135429534033021,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2734614064","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":[0.9764307,0.00006892293,0.009757184,0.00065373175,0.00002968712,0.00079146517,0.00088741735,0.00045990248,0.010921001],"genre_scores_gemma":[0.9635336,0.00013273334,0.016064674,0.0001498948,0.0000268125,0.0006277073,0.0013702207,0.0000333073,0.018061176],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99956053,0.0000725911,0.000009908471,0.00008106073,0.0002134615,0.00006253597],"domain_scores_gemma":[0.99901295,0.00012565285,0.0001273681,0.00006578502,0.00032958415,0.0003387992],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006235874,0.00024934328,0.0002186282,0.00017848203,0.000761394,0.0004502763,0.0007476802,0.0003545881,0.004662303],"category_scores_gemma":[0.0007890599,0.00015498813,0.00013930626,0.00012868326,0.0004205403,0.00045744213,0.00052147446,0.0005603322,0.0002763138],"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":[0.002441764,0.012255401,0.12033718,0.00042192655,0.00018480906,0.001580271,0.0017999564,0.016974615,0.36033145,0.005004824,0.04557044,0.4330974],"study_design_scores_gemma":[0.0027361345,0.03918019,0.42724758,0.00014634324,0.00025906373,0.0008583984,0.002722812,0.14953911,0.23292191,0.0014191115,0.14274786,0.00022148987],"about_ca_topic_score_codex":0.06839211,"about_ca_topic_score_gemma":0.14452294,"teacher_disagreement_score":0.06839211,"about_ca_system_score_codex":0.001140501,"about_ca_system_score_gemma":0.0034579493,"threshold_uncertainty_score":0.135988},"labels":[],"label_agreement":null},{"id":"W2771374878","doi":"10.14796/jwmm.c431","title":"Case Study of the Chicago River Watershed: Physical Modeling vs Data-driven Modeling of an Urban Watershed","year":2017,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Watershed; Environmental science; Hydrology (agriculture); Water quality; Hydrological modelling; Water resource management; Geology; Computer science; Ecology; Geotechnical engineering","score_opus":0.04935649094019097,"score_gpt":0.2731757923985466,"score_spread":0.22381930145835566,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2771374878","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":[0.9878791,0.00007914291,0.008118669,0.00025865834,0.000016123018,0.000090233676,0.0005123225,0.00016137134,0.00288441],"genre_scores_gemma":[0.99158657,0.000059212587,0.0070007257,0.000025854943,0.0000076243678,0.00007082434,0.00024172204,0.000016418562,0.0009909162],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997552,0.00009063009,0.00001382634,0.00004678577,0.000044276367,0.000049270173],"domain_scores_gemma":[0.99920624,0.00046227986,0.00004851413,0.000041771887,0.00016916372,0.00007215367],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00052159774,0.0006985152,0.0005370946,0.0006091372,0.0008835761,0.0009971762,0.0009403918,0.0014040151,0.0013263399],"category_scores_gemma":[0.000985641,0.0004006848,0.0005533108,0.00081603986,0.000692255,0.000534621,0.0005786656,0.00080755434,0.00008675573],"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":[0.000045659446,0.00016588636,0.007173286,0.000025426134,0.000016980106,0.0003889711,0.000062789346,0.98848724,0.0007898004,0.0008246144,0.00022498234,0.0017943026],"study_design_scores_gemma":[0.000032853088,0.00005658096,0.0019861558,0.0000048117536,0.000012146697,0.000020522344,0.00010846954,0.9960317,0.0011199116,0.0002826195,0.0003325933,0.000011533751],"about_ca_topic_score_codex":0.11733096,"about_ca_topic_score_gemma":0.08246505,"teacher_disagreement_score":0.11733096,"about_ca_system_score_codex":0.0018008891,"about_ca_system_score_gemma":0.0019473474,"threshold_uncertainty_score":0.23329604},"labels":[],"label_agreement":null},{"id":"W2778513765","doi":"10.14796/jwmm.c434","title":"Greywater Quality Changes in Laboratory Scale Vegetative Biofiltration Prototypes","year":2017,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Wastewater Treatment and Reuse","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Water Center, United Arab Emirates University; United Arab Emirates University","keywords":"Greywater; Reuse; Environmental science; Biofilter; Wastewater; Environmental engineering; Waste management; Engineering","score_opus":0.027016090309554795,"score_gpt":0.27452498921678836,"score_spread":0.24750889890723357,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2778513765","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":[0.9987238,0.000034514436,0.000855716,0.00000888953,0.0000053245317,0.000021210079,0.00016656994,0.000022168504,0.00016173777],"genre_scores_gemma":[0.9957104,0.000115052666,0.0030774912,0.000025595033,0.0000020091638,0.00004046246,0.0003692385,0.00001319642,0.000646493],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9995223,0.00005967281,0.00005678976,0.00012183589,0.00016719429,0.00007215337],"domain_scores_gemma":[0.99939,0.00018226026,0.000107363754,0.000070995266,0.00018891165,0.000060429335],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004364584,0.00030239913,0.0003560107,0.00017341148,0.00026674735,0.0006400802,0.0004535511,0.0003846091,0.0007126344],"category_scores_gemma":[0.0008893306,0.0001504417,0.00044826476,0.00025429286,0.000239784,0.00031312858,0.00040375473,0.00046333284,0.00013186934],"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":[0.00023263833,0.00022414402,0.001632124,0.00005190377,0.000014531812,0.0000396601,0.00011073068,0.0008476615,0.9946902,0.000028328688,0.000039233648,0.0020888646],"study_design_scores_gemma":[0.000028868199,0.0034570373,0.014508488,0.00000980211,0.00005046616,0.000040011164,0.00022975745,0.0056386977,0.9754111,0.00005086652,0.00055347814,0.000021427364],"about_ca_topic_score_codex":0.0041071726,"about_ca_topic_score_gemma":0.005537924,"teacher_disagreement_score":0.0041071726,"about_ca_system_score_codex":0.00045215292,"about_ca_system_score_gemma":0.00023636919,"threshold_uncertainty_score":0.008166552},"labels":[],"label_agreement":null},{"id":"W2780711228","doi":"10.14796/jwmm.c433","title":"Towards Efficient Use of an Unmanned Aerial Vehicle for Urban Flood Monitoring","year":2017,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Flood Risk Assessment and Management","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Flood myth; Flooding (psychology); Property (philosophy); Drone; Environmental planning; Remote sensing; Geography; Environmental science; Archaeology","score_opus":0.039505076608685595,"score_gpt":0.2776541120364821,"score_spread":0.2381490354277965,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2780711228","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":[0.2066707,0.001040386,0.78749555,0.00024050777,0.000045566303,0.00014418394,0.000086129745,0.0012180281,0.0030589642],"genre_scores_gemma":[0.74436706,0.0004546912,0.25362346,0.000043895077,0.000013810159,0.000072528834,0.0001275896,0.000018352963,0.0012786087],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997683,0.00007942338,0.0000091161755,0.00003508954,0.000086053326,0.000022121008],"domain_scores_gemma":[0.9997819,0.0000494226,0.00003456847,0.000041711137,0.00007922301,0.000013119736],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002778929,0.00037481493,0.00023286128,0.00037054977,0.0001556592,0.00031590095,0.00045281393,0.0002788518,0.00054756564],"category_scores_gemma":[0.0005539543,0.00013802554,0.00016199637,0.00022621578,0.00015974474,0.00068209355,0.00039343754,0.0001854813,0.00021245016],"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":[0.00020630322,0.00016492975,0.008401733,0.00020402946,0.000079020065,0.00028620276,0.00017403997,0.14054039,0.17499523,0.004104125,0.0020104356,0.66883355],"study_design_scores_gemma":[0.000032942837,0.00044038624,0.0067815557,0.000026492435,0.000050704315,0.00018015559,0.00017947874,0.9460257,0.03606967,0.0019282742,0.008261697,0.000022951268],"about_ca_topic_score_codex":0.0021998861,"about_ca_topic_score_gemma":0.0020530468,"teacher_disagreement_score":0.0021998861,"about_ca_system_score_codex":0.00013806595,"about_ca_system_score_gemma":0.00025819393,"threshold_uncertainty_score":0.0043741465},"labels":[],"label_agreement":null},{"id":"W2784057728","doi":"10.14796/jwmm.c436","title":"Increased Risks of Waterborne Disease Outbreaks in Northern Ontario due to Climate Change","year":2018,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Climate Change and Health Impacts","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Waterborne diseases; Outbreak; Turbidity; Water source; Climate change; Environmental science; Environmental health; Water resource management; Geography; Environmental protection; Medicine; Virology; Geology; Oceanography","score_opus":0.10558019938802866,"score_gpt":0.3133250914669635,"score_spread":0.20774489207893487,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2784057728","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":[0.99640936,0.00020041499,0.00013341721,0.00024017984,0.0000028098698,0.000015829932,0.00047509963,0.000009787592,0.002513036],"genre_scores_gemma":[0.9984407,0.0002600191,0.00012623036,0.000025004683,0.0000026494454,0.000006658933,0.00022281118,0.0000017222505,0.00091418426],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997918,0.000022452692,0.000009440967,0.00002989548,0.00008369974,0.00006276778],"domain_scores_gemma":[0.9994148,0.000060299404,0.0002622536,0.000019378156,0.00014451092,0.00009877145],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019870093,0.00014029646,0.00011604099,0.00047704577,0.0009598584,0.0006336724,0.00025764483,0.0002114938,0.0011924346],"category_scores_gemma":[0.001096612,0.00014609126,0.00020852152,0.00096362404,0.00034424616,0.0002546597,0.0004459288,0.00017981562,0.000071370814],"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":[0.00012252244,0.000027784656,0.98533267,0.000044701876,0.000049156028,0.00039919172,0.0013191922,0.001864462,0.0013468881,0.00013872827,0.0008976659,0.008457057],"study_design_scores_gemma":[0.0000070837273,0.000021563897,0.99581134,0.00000996146,0.000019451152,0.00006381572,0.0012816916,0.0013262688,0.00017101147,0.00007235345,0.0012089608,0.0000065246595],"about_ca_topic_score_codex":0.9673557,"about_ca_topic_score_gemma":0.9848172,"teacher_disagreement_score":0.03264427,"about_ca_system_score_codex":0.010282055,"about_ca_system_score_gemma":0.008351161,"threshold_uncertainty_score":0.07460189},"labels":[],"label_agreement":null},{"id":"W2784535859","doi":"10.14796/jwmm.c437","title":"An Experimental Study of Greywater Irrigated Green Roof Systems in an Arid Climate","year":2018,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Urban Heat Island Mitigation","field":"Environmental Science","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Water Center, United Arab Emirates University; United Arab Emirates University","keywords":"Greywater; Arid; Green roof; Environmental science; Roof; Hydrology (agriculture); Semi-arid climate; Water resource management; Environmental engineering; Geology; Engineering; Civil engineering; Geotechnical engineering; Wastewater","score_opus":0.026199652833704512,"score_gpt":0.26300343627414546,"score_spread":0.23680378344044095,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2784535859","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":[0.99937004,0.000009318504,0.0002580777,0.00001411859,0.000009393623,0.0000716093,0.000064535365,0.000008046808,0.00019494926],"genre_scores_gemma":[0.99572456,0.000057841076,0.0022563434,0.00004669965,0.000009252939,0.00027223837,0.00021726043,0.000016235434,0.0013995799],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9995834,0.000069585374,0.000029508648,0.0001413065,0.000069290625,0.000106951295],"domain_scores_gemma":[0.99894077,0.0002706165,0.00014921009,0.00017538642,0.00012777254,0.00033629854],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046843968,0.0005024957,0.00087548024,0.00028777283,0.0012777621,0.00070561504,0.0010700123,0.0007567314,0.0021914616],"category_scores_gemma":[0.00068642455,0.00026052678,0.0007908168,0.0003087702,0.0009335851,0.0007463945,0.000908067,0.0011373617,0.00024434555],"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":[0.01480053,0.046469804,0.018478189,0.00050005125,0.00024707656,0.000812079,0.0025790362,0.00911729,0.88835084,0.0012166244,0.0007144963,0.01671398],"study_design_scores_gemma":[0.0043452866,0.35385504,0.21434854,0.000109948596,0.00064848305,0.0004054264,0.0067778956,0.067098364,0.34051973,0.003494857,0.008053777,0.00034263748],"about_ca_topic_score_codex":0.0077720378,"about_ca_topic_score_gemma":0.011987223,"teacher_disagreement_score":0.0077720378,"about_ca_system_score_codex":0.0009959262,"about_ca_system_score_gemma":0.0012301807,"threshold_uncertainty_score":0.015453577},"labels":[],"label_agreement":null},{"id":"W278716","doi":"10.14796/jwmm.r206-02","title":"Towards Smart, Benign Urban Water Infrastructure","year":2000,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Water resources management and optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Water infrastructure; Sustainability; Environmental planning; Smart city; Business; Green infrastructure; Urban infrastructure; Engineering; Urban planning; Water supply; Environmental science; Environmental engineering; Computer science; Civil engineering; Internet of Things; Computer security","score_opus":0.006084763663918593,"score_gpt":0.1724437432937338,"score_spread":0.16635897962981522,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W278716","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":[0.032423377,0.0066530695,0.50545615,0.047109578,0.0014916814,0.00017787455,0.00023919754,0.0015825628,0.40486658],"genre_scores_gemma":[0.58259,0.011061799,0.24562244,0.0055665122,0.00060594006,0.0002895197,0.00047887245,0.00043377496,0.15335102],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995968,0.00008509151,0.000010378307,0.000063684114,0.00017566585,0.00006843356],"domain_scores_gemma":[0.9997267,0.000049543316,0.000029341103,0.000059281454,0.00007802171,0.000057115227],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00064257806,0.0003902672,0.00021648852,0.00041829117,0.00073807884,0.002030437,0.0007872199,0.001407083,0.005549612],"category_scores_gemma":[0.0010569008,0.00028437312,0.0002296606,0.00049593643,0.001867726,0.004223534,0.0031633358,0.0014523801,0.0019802283],"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":[0.000012333288,0.000029377568,0.00043637474,0.00010706353,0.000005843439,0.000053953143,0.0003983506,0.010140295,0.0016264765,0.8749305,0.02703423,0.08522514],"study_design_scores_gemma":[0.000012105036,0.000033126063,0.00039602545,0.00006121902,0.000007024598,0.00006961963,0.0007112334,0.019855147,0.0018434995,0.52960753,0.44738874,0.000014642934],"about_ca_topic_score_codex":0.0018867366,"about_ca_topic_score_gemma":0.00491965,"teacher_disagreement_score":0.005549612,"about_ca_system_score_codex":0.0013519317,"about_ca_system_score_gemma":0.0015012445,"threshold_uncertainty_score":0.018565297},"labels":[],"label_agreement":null},{"id":"W2788496276","doi":"10.14796/jwmm.c442","title":"A New Concept to Calibrate and Evaluate a Hydrological Model Based on Functional Data Analysis","year":2018,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs","keywords":"Computer science","score_opus":0.05307775094989792,"score_gpt":0.2723672582696476,"score_spread":0.21928950731974967,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2788496276","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":[0.0047634454,0.00007383537,0.9938186,0.00009363809,0.000032117874,0.000066243374,0.000060232618,0.0002628573,0.0008291248],"genre_scores_gemma":[0.20347203,0.00023279847,0.794256,0.00012027025,0.00010875131,0.0005543847,0.00027296634,0.0002554941,0.0007273031],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99575645,0.0018338478,0.0003104854,0.00061959575,0.0012972448,0.00018238068],"domain_scores_gemma":[0.99159336,0.0039934404,0.0011117149,0.0013837916,0.0017548238,0.00016284124],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.011149738,0.0019657651,0.0009990475,0.0038874962,0.000592123,0.0029053781,0.0017269094,0.0014817183,0.001174683],"category_scores_gemma":[0.019654393,0.00070523185,0.0015660475,0.0016934025,0.002234759,0.004711439,0.0020908625,0.0022385493,0.0002939252],"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":[0.00007520981,0.0001550695,0.006222107,0.00019814183,0.000227708,0.00012023825,0.00024616878,0.6650924,0.0064552375,0.20850632,0.0016369938,0.11106432],"study_design_scores_gemma":[0.000016316288,0.00021554978,0.0008763027,0.000055693272,0.000038053546,0.00008808532,0.000042985033,0.9542279,0.003903683,0.03628146,0.0042064297,0.000047583446],"about_ca_topic_score_codex":0.0026790854,"about_ca_topic_score_gemma":0.0009963799,"teacher_disagreement_score":0.011149738,"about_ca_system_score_codex":0.001767586,"about_ca_system_score_gemma":0.0017859394,"threshold_uncertainty_score":0.05896616},"labels":[],"label_agreement":null},{"id":"W2789068388","doi":"10.14796/jwmm.c444","title":"Manhole Cover Displacement Caused by the Release of Entrapped Air Pockets","year":2018,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Grouting, Rheology, and Soil Mechanics","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Cover (algebra); Displacement (psychology); Variety (cybernetics); Environmental science; Forensic engineering; Geotechnical engineering; Geology; Engineering; Computer science; Mechanical engineering","score_opus":0.009187830943713182,"score_gpt":0.20421415582895788,"score_spread":0.1950263248852447,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2789068388","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":[0.99763215,0.000028310586,0.0014349188,0.000021990161,0.000011142149,0.000014886057,0.000057903104,0.000048766186,0.00074991595],"genre_scores_gemma":[0.99929893,0.00002552771,0.00041184237,0.000003731271,0.0000017745632,0.0000042458955,0.00003884449,0.0000050226213,0.0002101085],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99983203,0.000015421758,0.000009060417,0.00002446168,0.00004906557,0.00006993363],"domain_scores_gemma":[0.99968386,0.00015840834,0.00006270554,0.000026863867,0.00002485172,0.000043261727],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013433557,0.00028313516,0.0003152021,0.00031937438,0.0003672689,0.0005258259,0.00031957295,0.0004964818,0.0016189173],"category_scores_gemma":[0.0007330124,0.00018805079,0.00032824988,0.0001767883,0.0005481884,0.00051712577,0.00049031916,0.000397382,0.000111625406],"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":[0.0010161515,0.00042244082,0.06344262,0.00022091453,0.000060801864,0.0040944014,0.00055467297,0.71257675,0.19583696,0.0013779416,0.00067420956,0.01972217],"study_design_scores_gemma":[0.00008106095,0.001041433,0.055046234,0.000022304754,0.000032515123,0.0005008073,0.00066425704,0.88827395,0.0525808,0.00034892434,0.0013597531,0.000047879395],"about_ca_topic_score_codex":0.004265757,"about_ca_topic_score_gemma":0.0033551669,"teacher_disagreement_score":0.004265757,"about_ca_system_score_codex":0.00036372233,"about_ca_system_score_gemma":0.00036315186,"threshold_uncertainty_score":0.00848186},"labels":[],"label_agreement":null},{"id":"W2789166887","doi":"10.14796/jwmm.c443","title":"A USEPA SWMM Integrated Tool for Determining the Suspended Solids Reduction Performance of Bioretention Cells","year":2018,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Urban Stormwater Management Solutions","field":"Environmental Science","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Bioretention; Stormwater; Surface runoff; Environmental science; Suspended solids; Stormwater management; Low-impact development; Environmental engineering; Total suspended solids; Storm Water Management Model; Wastewater; Ecology; Chemical oxygen demand","score_opus":0.022639642638832485,"score_gpt":0.2300950958937981,"score_spread":0.20745545325496562,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2789166887","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":[0.07056824,0.00020477844,0.86714375,0.00021987985,0.00013197493,0.0005029408,0.008362813,0.02814037,0.024725331],"genre_scores_gemma":[0.38821897,0.0005725876,0.58033836,0.00016516098,0.000032039236,0.0020070907,0.008061407,0.0030756816,0.017528664],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995105,0.000053350035,0.000045860263,0.000048422666,0.00028674616,0.000054994856],"domain_scores_gemma":[0.9989599,0.0004058377,0.00008922701,0.00011300594,0.00040501417,0.000026995882],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008702012,0.0010592191,0.0007337085,0.00079226354,0.0005480196,0.00083237997,0.002180827,0.0010488144,0.0098447185],"category_scores_gemma":[0.002197369,0.0007985686,0.001036528,0.00085738377,0.00025153212,0.00090177834,0.0007287314,0.00097391254,0.0022042487],"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":[0.0002325182,0.00040856504,0.009523187,0.0009684448,0.000104991435,0.00044482233,0.0003704757,0.73636216,0.06293725,0.013945921,0.028993912,0.14570777],"study_design_scores_gemma":[0.000040248266,0.00006106064,0.0007314699,0.00003399152,0.000017444652,0.00007236029,0.000036295867,0.94201726,0.03298046,0.0014754899,0.022496158,0.000037718164],"about_ca_topic_score_codex":0.007939339,"about_ca_topic_score_gemma":0.009741001,"teacher_disagreement_score":0.0098447185,"about_ca_system_score_codex":0.0009670302,"about_ca_system_score_gemma":0.001934993,"threshold_uncertainty_score":0.03293389},"labels":[],"label_agreement":null},{"id":"W2789172989","doi":"10.14796/jwmm.c441","title":"Modeling the Impact of Airport Deicing/Anti-icing Activities on the Dissolved Oxygen Levels in the Receiving Waterways","year":2018,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Smart Materials for Construction","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Icing; Environmental science; International airport; Aeronautics; Environmental engineering; Engineering; Transport engineering; Meteorology; Geography","score_opus":0.033584753329010744,"score_gpt":0.2567027944523718,"score_spread":0.2231180411233611,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2789172989","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":[0.9662606,0.0001808719,0.022401083,0.00024333378,0.000045611057,0.0000567707,0.00050581247,0.00008751883,0.010218419],"genre_scores_gemma":[0.99340314,0.00013209476,0.0027754027,0.00002344014,0.0000059622025,0.000038828384,0.00018484914,0.000014020179,0.003422276],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99987936,0.000022241893,0.0000058339206,0.000030074743,0.000020568054,0.00004190476],"domain_scores_gemma":[0.9997906,0.00011881946,0.000026944534,0.00000767057,0.00003491101,0.00002100068],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002337943,0.0006079872,0.00041536646,0.00027328517,0.00035997486,0.00095768576,0.00059349544,0.0012642635,0.0017263102],"category_scores_gemma":[0.00056727,0.00033501367,0.0006778128,0.00024971584,0.0003322674,0.0006429165,0.00045880134,0.0005306524,0.00016025706],"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":[0.00003763349,0.00006635155,0.0026431368,0.00001867855,0.000010957915,0.000043090633,0.000012276215,0.9931867,0.0018479408,0.00040742435,0.00008080719,0.0016449027],"study_design_scores_gemma":[0.000008421389,0.00004536736,0.0009820067,0.0000022143402,0.00000985243,0.0000038030278,0.00003194947,0.9977781,0.00078844663,0.00019149837,0.00015432604,0.000004054132],"about_ca_topic_score_codex":0.05663128,"about_ca_topic_score_gemma":0.030889167,"teacher_disagreement_score":0.05663128,"about_ca_system_score_codex":0.0009645761,"about_ca_system_score_gemma":0.0013288783,"threshold_uncertainty_score":0.11260325},"labels":[],"label_agreement":null},{"id":"W2790651089","doi":"10.14796/jwmm.c445","title":"Automating Model Builds for Sequence Optimization of Flood Mitigation Investment Phases","year":2018,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Flood Risk Assessment and Management","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"U.S. Environmental Protection Agency","keywords":"Sequence (biology); Flood myth; Investment (military); Computer science; Operations research; Engineering; Geography; Archaeology; Political science","score_opus":0.027630667393373956,"score_gpt":0.27701000261577335,"score_spread":0.2493793352223994,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2790651089","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":[0.024932459,0.000060502756,0.96594673,0.00017483394,0.000020204672,0.00043968004,0.00045738593,0.0030191618,0.0049490505],"genre_scores_gemma":[0.2666532,0.00011766203,0.72935927,0.00005234753,0.000009713248,0.000910591,0.0011257388,0.00036869093,0.0014027714],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988887,0.0004609933,0.00007160129,0.00015495038,0.0002881699,0.00013561285],"domain_scores_gemma":[0.9971859,0.0017634996,0.0002249401,0.00036821846,0.0003762966,0.00008109281],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0030396597,0.0012770352,0.0011536408,0.0015026933,0.0008270655,0.0019907362,0.0016855532,0.00088351796,0.005882535],"category_scores_gemma":[0.0062432997,0.0011652107,0.001560375,0.0011091512,0.00055992865,0.002000104,0.001970418,0.002132086,0.0008344837],"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":[0.000030736417,0.0000563245,0.000730852,0.000058829588,0.000022615512,0.000052078987,0.00008594377,0.96005595,0.0012351584,0.0075360676,0.00058632187,0.02954915],"study_design_scores_gemma":[0.000014707222,0.000029986082,0.00015223106,0.000015144298,0.000013761465,0.000012537464,0.00005625142,0.9871417,0.0014029769,0.009011844,0.0021334116,0.000015441005],"about_ca_topic_score_codex":0.01184546,"about_ca_topic_score_gemma":0.019083288,"teacher_disagreement_score":0.01184546,"about_ca_system_score_codex":0.001839391,"about_ca_system_score_gemma":0.004868819,"threshold_uncertainty_score":0.023553014},"labels":[],"label_agreement":null},{"id":"W2790855328","doi":"10.14796/jwmm.c446","title":"Simulating Head Losses in Hydraulic Drop Structures in SWMM, with a Little Help from CFD","year":2018,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Hydraulic flow and structures","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computational fluid dynamics; Drop (telecommunication); Flooding (psychology); Head (geology); Environmental science; Civil engineering; Hydrology (agriculture); Marine engineering; Engineering; Geology; Geotechnical engineering; Mechanical engineering; Aerospace engineering; Geomorphology","score_opus":0.01247788062377049,"score_gpt":0.22767210526363074,"score_spread":0.21519422463986027,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2790855328","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":[0.7855795,0.00012737016,0.17691165,0.00039867242,0.00007918902,0.00024996916,0.0021124594,0.0008704706,0.03367062],"genre_scores_gemma":[0.9691701,0.00011539488,0.02605637,0.00004306136,0.000009999971,0.00016248507,0.00045573735,0.00006111673,0.0039256997],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99989295,0.000023422932,0.000008120442,0.000015510932,0.000033514065,0.000026483784],"domain_scores_gemma":[0.99976426,0.00010490284,0.000029740931,0.00003181815,0.00005525694,0.000013959767],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002447648,0.0005211006,0.00035140125,0.000458456,0.0005002939,0.0007263017,0.00073921954,0.0009388215,0.0017022516],"category_scores_gemma":[0.0007889351,0.00037007264,0.00047704307,0.00042514148,0.00040271226,0.0006543292,0.0005637363,0.0005369774,0.00018177669],"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":[0.000017038798,0.000034307533,0.0022239701,0.000017751881,0.000004325373,0.00005161775,0.000037622256,0.99056256,0.0017722262,0.0015673916,0.00025307707,0.0034580275],"study_design_scores_gemma":[0.0000078079065,0.000014058039,0.00069045473,0.0000043977525,0.000002505219,0.000011510783,0.000029297598,0.9971835,0.0010858928,0.00034285826,0.0006217448,0.0000059589042],"about_ca_topic_score_codex":0.030539375,"about_ca_topic_score_gemma":0.02651657,"teacher_disagreement_score":0.030539375,"about_ca_system_score_codex":0.0011613232,"about_ca_system_score_gemma":0.0011123398,"threshold_uncertainty_score":0.060723186},"labels":[],"label_agreement":null},{"id":"W2792476953","doi":"10.14796/jwmm.c448","title":"Jonglei Canal Project Under Potential Developments in the Upper Nile States","year":2018,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Transboundary Water Resource Management","field":"Social Sciences","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Scarcity; Water scarcity; Climate change; Geography; Population; Population growth; Natural resource economics; Water resource management; Environmental science; Economics; Geology; Archaeology; Sociology; Demography; Oceanography; Market economy; Agriculture","score_opus":0.031344051263834855,"score_gpt":0.29182129040189986,"score_spread":0.260477239138065,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2792476953","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":[0.9881296,0.00008132186,0.0013541557,0.00022683399,0.0000110129085,0.00007487984,0.0004503378,0.00006792007,0.009603996],"genre_scores_gemma":[0.9970324,0.00012598524,0.0010177064,0.000017206525,0.0000017798225,0.000044163993,0.00024287742,0.0000069165453,0.0015109451],"study_design_codex":"simulation_or_modeling","study_design_gemma":"qualitative","domain_scores_codex":[0.99960405,0.00016805892,0.000011086612,0.00003381669,0.00007606732,0.00010700962],"domain_scores_gemma":[0.9996063,0.00011598387,0.0000486392,0.000026961747,0.000097128446,0.00010502441],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00070884277,0.00021837237,0.00022920559,0.00033908803,0.0006206145,0.0013502082,0.00035079388,0.0004944298,0.0026899455],"category_scores_gemma":[0.0012862975,0.00016615044,0.00045484933,0.00041981455,0.00050442683,0.0007175609,0.0010393328,0.00035610117,0.0001773884],"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":[0.0005924951,0.00031253058,0.070613645,0.00021096971,0.00010556853,0.0033693016,0.00048300633,0.8691919,0.0058302954,0.011492841,0.003450546,0.034346905],"study_design_scores_gemma":[0.0003678344,0.0020379447,0.12962462,0.00012438963,0.00019617124,0.00056553184,0.004433912,0.8258375,0.006495191,0.008339826,0.021818563,0.00015848737],"about_ca_topic_score_codex":0.024173925,"about_ca_topic_score_gemma":0.031252246,"teacher_disagreement_score":0.024173925,"about_ca_system_score_codex":0.0012445267,"about_ca_system_score_gemma":0.0021865573,"threshold_uncertainty_score":0.048066437},"labels":[],"label_agreement":null},{"id":"W2794590612","doi":"10.14796/jwmm.c450","title":"Permeable Pavers Designed for Rapid Renewal by Considering Sweeper Mechanics: Initial Field Tests","year":2018,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Innovative concrete reinforcement materials","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Interlocking; Engineering; Forensic engineering; Geotechnical engineering; Civil engineering; Mechanical engineering","score_opus":0.025642036330713627,"score_gpt":0.25015654420514827,"score_spread":0.22451450787443464,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2794590612","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":[0.99115926,0.000109307555,0.0072020763,0.000014566531,0.000008132299,0.000058765236,0.00014197845,0.00015167531,0.001154236],"genre_scores_gemma":[0.9954137,0.000109238805,0.0031688907,0.0000044893486,0.0000027273509,0.000029178018,0.00011484521,0.000017970397,0.001138897],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997037,0.0000603288,0.0000131301495,0.000050426843,0.00013267194,0.00003974646],"domain_scores_gemma":[0.9993754,0.00021697482,0.00005360648,0.00012660328,0.00015250166,0.00007499336],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000575413,0.000407059,0.00033169167,0.0004374374,0.00027081204,0.0002274726,0.00062972406,0.0005026919,0.001915322],"category_scores_gemma":[0.0013159823,0.00018990184,0.00019146324,0.0003183047,0.0004043533,0.00048671706,0.0002845334,0.0003388355,0.00026226908],"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":[0.0014148817,0.0009438766,0.011383925,0.000651757,0.000050382925,0.0006292022,0.00077804946,0.13528751,0.7562242,0.0015628412,0.00097004144,0.090103276],"study_design_scores_gemma":[0.000248374,0.011322716,0.055196937,0.00012501256,0.00013693198,0.0004413921,0.00079898885,0.086363,0.832464,0.00085367134,0.011963217,0.0000857577],"about_ca_topic_score_codex":0.0011563017,"about_ca_topic_score_gemma":0.0028265212,"teacher_disagreement_score":0.001915322,"about_ca_system_score_codex":0.00022502786,"about_ca_system_score_gemma":0.0003769477,"threshold_uncertainty_score":0.0064074397},"labels":[],"label_agreement":null},{"id":"W2811174308","doi":"10.14796/jwmm.c451","title":"Evaluating Storm Water Management Model Accuracy in Conditions of Mixed Flows","year":2018,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Flood Risk Assessment and Management","field":"Environmental Science","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Storm; Stormwater; Environmental science; Stormwater management; Flow (mathematics); Meteorology; Hydrology (agriculture); Mechanics; Surface runoff; Geology; Geotechnical engineering; Geography; Physics","score_opus":0.04466494917167991,"score_gpt":0.32192618686111085,"score_spread":0.27726123768943095,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2811174308","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":[0.9930996,0.00006733091,0.0041465657,0.000119196244,0.000029939038,0.000034489014,0.00053008675,0.00038682207,0.0015860082],"genre_scores_gemma":[0.9971795,0.000024086905,0.0021088857,0.000013048475,0.0000033956237,0.00001198572,0.0004052999,0.000028728624,0.00022500132],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99929297,0.00016940218,0.00009291835,0.0001413304,0.00018116541,0.00012220434],"domain_scores_gemma":[0.9958162,0.002230741,0.0003650709,0.0005168096,0.0008843606,0.00018684233],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015846842,0.0006988145,0.000592213,0.00051353144,0.00044073522,0.0010111955,0.0009105275,0.0009737413,0.001150649],"category_scores_gemma":[0.007876715,0.000365416,0.0004834747,0.00039077667,0.0004501868,0.0013216749,0.0007477675,0.00069410965,0.000232593],"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":[0.00062968844,0.00026289918,0.028833302,0.000059818347,0.00007557703,0.00008642501,0.00011193532,0.95374197,0.0052259043,0.0004295521,0.00054690515,0.009995906],"study_design_scores_gemma":[0.000046765104,0.00018405145,0.006195145,0.000008292792,0.000018332175,0.000011293716,0.00005730966,0.9878511,0.005265281,0.00014084461,0.0002088271,0.000012799104],"about_ca_topic_score_codex":0.028815402,"about_ca_topic_score_gemma":0.016608467,"teacher_disagreement_score":0.028815402,"about_ca_system_score_codex":0.0009865584,"about_ca_system_score_gemma":0.0009727213,"threshold_uncertainty_score":0.057295322},"labels":[],"label_agreement":null},{"id":"W2890536637","doi":"10.14796/jwmm.c452","title":"Evaluation and Simulation of a Large Scale Pilot Water Farm Project in South Florida","year":2018,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Water resources management and optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Scale (ratio); Population growth; Population; Environmental science; Hydrology (agriculture); Geography; Water resource management; Civil engineering; Engineering; Geotechnical engineering; Cartography; Demography; Sociology","score_opus":0.030764634239302514,"score_gpt":0.25969318796458696,"score_spread":0.22892855372528445,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2890536637","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":[0.98663586,0.000041984273,0.004490263,0.00044946538,0.000026639456,0.0001554643,0.00086916727,0.00024067007,0.0070905583],"genre_scores_gemma":[0.99220604,0.00003668533,0.0049753813,0.00005688648,0.000003070246,0.000086066335,0.0007468301,0.000027915758,0.0018611712],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99970776,0.000093545554,0.000010261763,0.000048428803,0.000047805697,0.00009215923],"domain_scores_gemma":[0.99891734,0.0005376086,0.00006361832,0.00004966872,0.00023666058,0.00019517007],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008489706,0.0008208871,0.0004323571,0.00055062526,0.00085764774,0.00074929715,0.0011078598,0.0015108256,0.0053373594],"category_scores_gemma":[0.0017349446,0.00045222597,0.0005002078,0.0005087405,0.0006241811,0.0009655668,0.00069616165,0.00093559304,0.00028175724],"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":[0.00035063774,0.0008435896,0.010477069,0.000062995816,0.000035500598,0.00042971977,0.00009629782,0.9712794,0.001904008,0.0009062815,0.002773203,0.0108413],"study_design_scores_gemma":[0.00012808474,0.00027688977,0.0031792363,0.000006027146,0.000016023583,0.000012566528,0.00027601974,0.99446094,0.0005036268,0.00033377277,0.0007976159,0.000009314938],"about_ca_topic_score_codex":0.0880205,"about_ca_topic_score_gemma":0.118703105,"teacher_disagreement_score":0.0880205,"about_ca_system_score_codex":0.0020040227,"about_ca_system_score_gemma":0.0015935752,"threshold_uncertainty_score":0.17501634},"labels":[],"label_agreement":null},{"id":"W2895493807","doi":"10.14796/jwmm.c453","title":"Suspended Sediment Concentration Modeling Using Conventional and Machine Learning Approaches in the Thames River, London Ontario","year":2018,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Hydrological Forecasting Using AI","field":"Environmental Science","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Toronto and Region Conservation Authority; Western University","funders":"","keywords":"Hydrology (agriculture); Sediment; Environmental science; Water resource management; Geology; Geomorphology; Geotechnical engineering","score_opus":0.0869297878418971,"score_gpt":0.24062254206985614,"score_spread":0.15369275422795903,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2895493807","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":[0.9957885,0.00016594928,0.0015336089,0.00010475218,0.000003888784,0.000015044639,0.0003333293,0.000020772077,0.0020341824],"genre_scores_gemma":[0.99714905,0.00014312842,0.0010532162,0.00000561753,0.0000016671332,0.000009431433,0.00025044306,0.0000036510344,0.0013839097],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998963,0.00001696454,0.0000106337375,0.000026465288,0.0000333051,0.000016365282],"domain_scores_gemma":[0.9997954,0.00007209555,0.0000363945,0.000008679443,0.000071005976,0.000016434258],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019360468,0.00027630117,0.00014604392,0.00037445422,0.0006140774,0.00071413623,0.0005024835,0.00035989186,0.00059068366],"category_scores_gemma":[0.00071737554,0.00016719729,0.00025348362,0.00085930625,0.0003411498,0.0003304418,0.00016415963,0.00016210267,0.000078127494],"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":[0.00017674228,0.000077821394,0.22955707,0.00014815784,0.00009126503,0.0007695976,0.00060881634,0.73341084,0.005033371,0.0013944214,0.0011009163,0.02763096],"study_design_scores_gemma":[0.000019970204,0.0000476356,0.14274265,0.000021561867,0.00003559761,0.0000486558,0.00051396474,0.8532978,0.0015056889,0.00021869662,0.0015188251,0.000028868215],"about_ca_topic_score_codex":0.9152118,"about_ca_topic_score_gemma":0.9441321,"teacher_disagreement_score":0.0847882,"about_ca_system_score_codex":0.0074193985,"about_ca_system_score_gemma":0.0037020734,"threshold_uncertainty_score":0.17057502},"labels":[],"label_agreement":null},{"id":"W2896028876","doi":"10.14796/jwmm.c454","title":"Simulating Flood Urban Drainage Networks through 1D/2D Model Analysis","year":2018,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Flood Risk Assessment and Management","field":"Environmental Science","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Flood myth; Drainage; Environmental science; Hydrology (agriculture); Geology; Geography; Water resource management; Geotechnical engineering; Archaeology; Ecology","score_opus":0.016237276209359244,"score_gpt":0.2520003000159121,"score_spread":0.23576302380655287,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2896028876","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":[0.8372395,0.0002544962,0.13794404,0.00053498324,0.00010185107,0.00014669338,0.0021599256,0.0013626001,0.02025594],"genre_scores_gemma":[0.9787699,0.00012479878,0.017719226,0.000043724227,0.000015658985,0.00009694169,0.00041759643,0.00008330503,0.0027288878],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998627,0.000038811955,0.000010529753,0.000025982225,0.000028276394,0.000033830893],"domain_scores_gemma":[0.99954766,0.00027133955,0.000046760004,0.000033748678,0.000057550078,0.00004299172],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023062191,0.00055140833,0.0005591316,0.00065780256,0.00047487306,0.0010995636,0.00073972624,0.0012917867,0.003411281],"category_scores_gemma":[0.00090589176,0.0006057119,0.0008283384,0.00065178087,0.00048824114,0.00063060963,0.0007587362,0.0004613059,0.00024414668],"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":[0.000007632116,0.000013482185,0.00062047696,0.000006288002,0.000004766264,0.000016901113,0.000012577509,0.9977791,0.0002380149,0.0004165693,0.00008620674,0.00079801114],"study_design_scores_gemma":[0.00000352785,0.0000034450725,0.00014706352,9.883042e-7,0.000001798236,0.000002770869,0.000008085301,0.99949193,0.00007312724,0.00015504884,0.00010983709,0.0000024603432],"about_ca_topic_score_codex":0.032180857,"about_ca_topic_score_gemma":0.026224336,"teacher_disagreement_score":0.032180857,"about_ca_system_score_codex":0.0010423721,"about_ca_system_score_gemma":0.00089512975,"threshold_uncertainty_score":0.06398708},"labels":[],"label_agreement":null},{"id":"W2898288535","doi":"10.14796/jwmm.c455","title":"Modeling Urban Sewers with Artificial Fractal Geometries","year":2018,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Urban Stormwater Management Solutions","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Division of Chemical, Bioengineering, Environmental, and Transport Systems; National Fish and Wildlife Foundation; National Oceanic and Atmospheric Administration; National Science Foundation","keywords":"Sanitary sewer; Fractal; Environmental science; Computer science; Civil engineering; Hydrology (agriculture); Engineering; Mathematics; Geotechnical engineering; Environmental engineering","score_opus":0.020044535348061426,"score_gpt":0.21589990567935757,"score_spread":0.19585537033129616,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2898288535","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":[0.8837456,0.000097219134,0.109985165,0.00012837394,0.00001917781,0.000040373627,0.00026216867,0.00024204457,0.005479786],"genre_scores_gemma":[0.9880205,0.00007411549,0.0108414125,0.000010270605,0.0000063284842,0.000029559591,0.0000950555,0.00002033039,0.0009024009],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998727,0.000040314942,0.0000076314245,0.00002630634,0.000023731143,0.000029294131],"domain_scores_gemma":[0.99961334,0.00016623469,0.000095136464,0.000043648462,0.0000515144,0.000030184536],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018287472,0.00025784803,0.00026054864,0.00043195774,0.00025781486,0.0006407297,0.00048129517,0.00053259573,0.00052465836],"category_scores_gemma":[0.0007273098,0.00028058043,0.00045340997,0.00040427793,0.00052446185,0.0005193415,0.00041211414,0.00021680417,0.00007086435],"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":[0.000004587786,0.000008953396,0.0017880427,0.0000034969135,0.000006321461,0.000027208433,0.000025599256,0.99414957,0.00046870337,0.0025704058,0.000077684694,0.00086942356],"study_design_scores_gemma":[0.0000024546084,0.0000052723417,0.0006367132,0.0000012206572,0.0000019698257,0.000008369129,0.000009552606,0.99816704,0.000113874165,0.00078352616,0.0002672716,0.000002719783],"about_ca_topic_score_codex":0.014265812,"about_ca_topic_score_gemma":0.013100844,"teacher_disagreement_score":0.014265812,"about_ca_system_score_codex":0.00096556224,"about_ca_system_score_gemma":0.0005399686,"threshold_uncertainty_score":0.028365552},"labels":[],"label_agreement":null},{"id":"W2899271409","doi":"10.14796/jwmm.c456","title":"Evaluating the Suitability of Application of Hydrological Models in a Mixed Land Use Watershed","year":2018,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Institute of Food and Agriculture; U.S. Department of Agriculture","keywords":"Watershed; Hydrology (agriculture); Environmental science; Water resource management; Geology; Computer science; Geotechnical engineering","score_opus":0.06355862731885108,"score_gpt":0.2938663669609987,"score_spread":0.23030773964214762,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2899271409","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":[0.9945208,0.00004931429,0.0036751658,0.0001046248,0.000010362638,0.00007890832,0.00021928827,0.00016254444,0.0011790924],"genre_scores_gemma":[0.99419785,0.000046755307,0.005204034,0.000024745363,0.000005618392,0.000046539015,0.00023213698,0.000024248377,0.00021806522],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983095,0.000945797,0.00012787677,0.0002454657,0.000214764,0.00015653095],"domain_scores_gemma":[0.99396026,0.0039516552,0.00051145384,0.0004284863,0.0008907392,0.0002575693],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0058204317,0.00082525954,0.00044006773,0.0011670731,0.00063814636,0.0018795371,0.0008832529,0.0010127081,0.00068489223],"category_scores_gemma":[0.014190646,0.00048548172,0.0009485684,0.0011593606,0.00041633612,0.0019466867,0.0009446866,0.00047172353,0.00014624068],"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":[0.0008714722,0.00076800206,0.2445273,0.0000886234,0.00039827035,0.0002679411,0.00031939964,0.71610945,0.004214385,0.0009406771,0.00046835115,0.0310262],"study_design_scores_gemma":[0.00009844329,0.0005181108,0.04491867,0.000022458322,0.00008557919,0.000042312484,0.0003478244,0.9497785,0.003253748,0.00038252093,0.0005036467,0.00004817026],"about_ca_topic_score_codex":0.0352299,"about_ca_topic_score_gemma":0.034179978,"teacher_disagreement_score":0.0352299,"about_ca_system_score_codex":0.0019502596,"about_ca_system_score_gemma":0.0015427507,"threshold_uncertainty_score":0.07004964},"labels":[],"label_agreement":null},{"id":"W2901867514","doi":"10.14796/jwmm.c457","title":"Realtime Water Depth Logger Data as Input to PCSWMM to Estimate Tree Filter Performance","year":2018,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Hydrology and Sediment Transport Processes","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Data logger; Environmental science; Storm; Hydrology (agriculture); Tree (set theory); Filter (signal processing); Pressure sensor; Water level; Remote sensing; Meteorology; Geology; Computer science; Geography; Engineering; Geotechnical engineering; Mathematics; Cartography","score_opus":0.0322568626540069,"score_gpt":0.2806736213239853,"score_spread":0.24841675866997842,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2901867514","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":[0.75106317,0.00007354636,0.23002571,0.0000915797,0.000050451068,0.00017865402,0.0057823407,0.007743359,0.004991201],"genre_scores_gemma":[0.8994673,0.000042619304,0.09581021,0.000025141193,0.0000073458764,0.000103063845,0.0030321272,0.00023751856,0.0012747416],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997713,0.000021563494,0.000013025994,0.00006316377,0.00010682409,0.000024243982],"domain_scores_gemma":[0.9995504,0.00013492686,0.000049517766,0.00009621807,0.00015396647,0.000014933909],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005800483,0.000482144,0.00029486432,0.0006544337,0.00024070483,0.0004302334,0.0006400226,0.00033151335,0.0022273213],"category_scores_gemma":[0.0019796914,0.0002240247,0.00032205402,0.0011011321,0.00009276195,0.0006943895,0.00028604871,0.00041403502,0.00057252665],"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":[0.0004236137,0.00041332864,0.13549231,0.00020041874,0.00017600993,0.00013305072,0.00031334462,0.48974186,0.04111983,0.0021523263,0.0059126806,0.32392123],"study_design_scores_gemma":[0.00002040405,0.000038979353,0.029993566,0.0000067715296,0.000014772379,0.000016952308,0.000025764715,0.9490798,0.018301396,0.00038432484,0.0021028428,0.000014540149],"about_ca_topic_score_codex":0.026210526,"about_ca_topic_score_gemma":0.029807514,"teacher_disagreement_score":0.026210526,"about_ca_system_score_codex":0.0007562314,"about_ca_system_score_gemma":0.00080508913,"threshold_uncertainty_score":0.052115917},"labels":[],"label_agreement":null},{"id":"W2902402723","doi":"10.14796/jwmm.c459","title":"Toward Fundamental Pollutant Routing Within Stormwater Control Measures Using Computational Fluid Dynamics","year":2018,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Urban Stormwater Management Solutions","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Environmental science; Routing (electronic design automation); Pollutant; Computer science; Stormwater; Surface runoff; Computer network; Chemistry; Ecology","score_opus":0.03579059332783025,"score_gpt":0.23707765499893463,"score_spread":0.20128706167110438,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2902402723","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":[0.040448993,0.0007134672,0.94572484,0.0011894102,0.00008890193,0.00013012374,0.00013855325,0.0003622416,0.011203374],"genre_scores_gemma":[0.6300042,0.0021711255,0.35966125,0.00026817506,0.000077754106,0.00041955535,0.0002411153,0.00016893262,0.0069879163],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99983084,0.000053427273,0.0000073929277,0.000027865279,0.00005886138,0.000021601543],"domain_scores_gemma":[0.99973935,0.0001187685,0.00003515226,0.000020191963,0.00006585771,0.000020580535],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00048855774,0.0006900734,0.00056930794,0.0003726851,0.0006585201,0.0015350678,0.0008472921,0.0012546752,0.0014668677],"category_scores_gemma":[0.0011412607,0.00043450168,0.0006912641,0.00034247915,0.0009358801,0.0012955335,0.00092345814,0.0011826938,0.00023625923],"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":[0.000010695464,0.000020792804,0.00024060401,0.000028085296,0.0000057356674,0.000014152618,0.000029215815,0.97785974,0.0013689208,0.013213026,0.0002721278,0.006937013],"study_design_scores_gemma":[0.000004089837,0.000007984407,0.00003415416,0.000006170866,0.0000016787491,0.0000022675079,0.000009586909,0.9950996,0.00027580006,0.003418662,0.0011370251,0.0000030663498],"about_ca_topic_score_codex":0.012178772,"about_ca_topic_score_gemma":0.008800645,"teacher_disagreement_score":0.012178772,"about_ca_system_score_codex":0.0010155829,"about_ca_system_score_gemma":0.0025228674,"threshold_uncertainty_score":0.024215758},"labels":[],"label_agreement":null},{"id":"W2903919019","doi":"10.14796/jwmm.c460","title":"Inverse Optimization based Detection of Leaks from Simulated Pressure in Water Networks, Part 1: Analysis for a Single Leak","year":2018,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Water Systems and Optimization","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Leak; Leak detection; Minification; Computer science; Inverse; Duration (music); Reliability engineering; Engineering; Mathematics; Acoustics; Physics; Environmental engineering","score_opus":0.016476365678593702,"score_gpt":0.19234614612325623,"score_spread":0.17586978044466253,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2903919019","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":[0.73945105,0.00009823899,0.2586761,0.00009894022,0.0000059196273,0.000049447866,0.00010801963,0.00048076623,0.0010314842],"genre_scores_gemma":[0.97171706,0.00003759161,0.02781852,0.000008720649,0.000001922851,0.000034790868,0.00008255911,0.000029106168,0.00026965045],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997532,0.00007483635,0.00001384872,0.00004236136,0.000085117244,0.00003074249],"domain_scores_gemma":[0.99848986,0.001066118,0.00016895606,0.00007705773,0.00016733343,0.000030733994],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00069591124,0.00046532927,0.00072298833,0.0006206195,0.00018756102,0.0004341421,0.00047852413,0.0006260474,0.00057654467],"category_scores_gemma":[0.0037698383,0.00036455912,0.00047268812,0.00036731263,0.00060079375,0.00070346915,0.00041029355,0.00047541386,0.00006989523],"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":[0.00011301408,0.000049593,0.0033743104,0.000066474684,0.000017360584,0.000045891844,0.00003578303,0.97684187,0.008082163,0.00043160268,0.00007146992,0.010870491],"study_design_scores_gemma":[0.000002233603,0.000018056358,0.000894911,0.0000014884965,0.0000021736478,0.000008774976,0.0000054406974,0.9967264,0.0022103628,0.00010827742,0.000018257637,0.0000035685932],"about_ca_topic_score_codex":0.0066564656,"about_ca_topic_score_gemma":0.003724323,"teacher_disagreement_score":0.0066564656,"about_ca_system_score_codex":0.0005102723,"about_ca_system_score_gemma":0.0007436224,"threshold_uncertainty_score":0.01323545},"labels":[],"label_agreement":null},{"id":"W2935844914","doi":"10.14796/jwmm.c463","title":"Field Evaluation of Discretized Model Setups for the Storm Water Management Model","year":2019,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Universidade Federal de Santa Maria; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Storm Water Management Model; Stormwater management; Storm; Stormwater; Environmental science; Drainage; Discretization; Hydrology (agriculture); Field (mathematics); Hydrological modelling; Surface runoff; Civil engineering; Geology; Engineering; Geotechnical engineering; Meteorology; Geography; Mathematics","score_opus":0.030440036449181203,"score_gpt":0.2630794389110922,"score_spread":0.232639402461911,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2935844914","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":[0.9754788,0.00012382171,0.018444084,0.00022170697,0.000095719515,0.00018418425,0.0017460071,0.00069784693,0.0030078853],"genre_scores_gemma":[0.99090236,0.000049270853,0.007910822,0.000017047552,0.00000400383,0.00008833773,0.0007220254,0.00003122672,0.00027492346],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99943393,0.00020684153,0.00005925081,0.00008376935,0.00013588331,0.000080312115],"domain_scores_gemma":[0.99506265,0.003075052,0.00025837243,0.00056340237,0.00083353225,0.0002069587],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016148031,0.0005137684,0.00049337425,0.0005715395,0.0004981841,0.00079782546,0.001285805,0.0008580724,0.0023742984],"category_scores_gemma":[0.006576805,0.00025763572,0.00035395686,0.00060385984,0.00063195947,0.00082437956,0.00058608013,0.0010587147,0.00020260467],"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":[0.0007261285,0.0010544941,0.00814366,0.00022053125,0.00004162159,0.00017253842,0.00018601843,0.96014166,0.011295293,0.0027877113,0.0013387331,0.013891646],"study_design_scores_gemma":[0.00016462649,0.0006885024,0.0020240734,0.000019694315,0.000015040395,0.00001378958,0.00011550996,0.9905764,0.005419505,0.00042628558,0.00051816966,0.000018446373],"about_ca_topic_score_codex":0.016611567,"about_ca_topic_score_gemma":0.010922142,"teacher_disagreement_score":0.016611567,"about_ca_system_score_codex":0.0013346742,"about_ca_system_score_gemma":0.00078074535,"threshold_uncertainty_score":0.033029795},"labels":[],"label_agreement":null},{"id":"W2943543561","doi":"10.14796/jwmm.c464","title":"Testing an Optimization–Simulation Model for Optimal Pump and Valve Operations with Required Storage Tank Turnovers","year":2019,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Water Systems and Optimization","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Science Foundation","keywords":"Computer science; Environmental science; Process engineering; Engineering","score_opus":0.023747643167673436,"score_gpt":0.22151160509210974,"score_spread":0.1977639619244363,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2943543561","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":[0.44549406,0.00014125157,0.5252081,0.00049227715,0.00005210522,0.0003357235,0.0008346907,0.0010841625,0.026357625],"genre_scores_gemma":[0.97320604,0.000042650187,0.023988264,0.000020170843,0.0000040527393,0.00017842813,0.00017671286,0.000040907293,0.002342767],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997167,0.000089224544,0.000016215747,0.000050084764,0.00007527122,0.00005249349],"domain_scores_gemma":[0.999295,0.00046502778,0.00007098208,0.000039602957,0.00010328345,0.000026014766],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005284872,0.00047026353,0.0005551121,0.00031790618,0.00029296978,0.000626842,0.00062009925,0.00073183107,0.0030483303],"category_scores_gemma":[0.0015474816,0.00026618587,0.0005409528,0.00028449082,0.000376059,0.0003833018,0.00032057718,0.0004642898,0.0002495012],"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":[0.000026345582,0.000017485789,0.00024834226,0.000009145543,0.0000026397074,0.000012851375,0.000005876397,0.9976496,0.00057336316,0.00054417236,0.000046293837,0.00086381286],"study_design_scores_gemma":[0.000006169775,0.000011752779,0.00007877259,9.709654e-7,0.000001778343,0.0000019992979,0.0000024277042,0.99915695,0.0005172138,0.00011289723,0.00010768076,0.000001405093],"about_ca_topic_score_codex":0.018225232,"about_ca_topic_score_gemma":0.0056397393,"teacher_disagreement_score":0.018225232,"about_ca_system_score_codex":0.0009145065,"about_ca_system_score_gemma":0.0018739882,"threshold_uncertainty_score":0.036238253},"labels":[],"label_agreement":null},{"id":"W2963675373","doi":"10.14796/jwmm.c465","title":"Spatial Patterns of Heavy Metals in the Sediments of a Municipal Wastewater Treatment Pond System and Receiving Waterbody, Cha am, Thailand","year":2019,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Heavy metals in environment","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Wastewater; Environmental science; Heavy metals; Sewage treatment; Environmental engineering; Aeration; Water resource management; Hydrology (agriculture); Waste management; Geology; Engineering; Environmental chemistry; Geotechnical engineering","score_opus":0.017705953222268866,"score_gpt":0.22796337062003783,"score_spread":0.21025741739776896,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2963675373","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":[0.9994174,0.000025626996,0.00010581077,0.0000057830107,5.8952685e-7,0.000005554571,0.00015784247,0.000005685204,0.00027571383],"genre_scores_gemma":[0.9989641,0.000046207548,0.00028140857,0.000004803072,0.0000011219307,0.000013395478,0.00030501056,0.0000019454046,0.0003821212],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997743,0.000029980582,0.000025030513,0.000079347694,0.00005508391,0.00003636955],"domain_scores_gemma":[0.9996942,0.000032375,0.00011773457,0.000014702028,0.00009867063,0.000042275566],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001516884,0.0002579769,0.00021701925,0.00094327773,0.00044329345,0.0006366628,0.00019433207,0.00021527531,0.00049648725],"category_scores_gemma":[0.00042720343,0.00023998068,0.00025893448,0.002458427,0.00046444495,0.0002320428,0.0007050907,0.00015024672,0.00011102013],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019671385,0.000041281895,0.9685168,0.00011963418,0.00008620197,0.00068238145,0.0024980183,0.0007293195,0.016488729,0.000056228837,0.00014513457,0.010439511],"study_design_scores_gemma":[0.0000026423158,0.00004257082,0.9961661,0.0000054527923,0.000017764005,0.00015744905,0.0021953417,0.00043633112,0.00068409677,0.000015266678,0.00026993404,0.000007006694],"about_ca_topic_score_codex":0.028970193,"about_ca_topic_score_gemma":0.04248748,"teacher_disagreement_score":0.028970193,"about_ca_system_score_codex":0.00044742352,"about_ca_system_score_gemma":0.0005175711,"threshold_uncertainty_score":0.05760312},"labels":[],"label_agreement":null},{"id":"W2969843758","doi":"10.14796/jwmm.c466","title":"Construction Cost-Based Effectiveness Analysis of Green and Grey Infrastructure in Controlling Flood Inundation: A Case Study","year":2019,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Flood Risk Assessment and Management","field":"Environmental Science","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Flood myth; Green infrastructure; Water resource management; Environmental science; Environmental resource management; Civil engineering; Computer science; Engineering; Geography; Archaeology","score_opus":0.0074870518637079695,"score_gpt":0.2401901091066442,"score_spread":0.23270305724293625,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2969843758","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":[0.99289894,0.00008519442,0.0038004662,0.00010894745,0.000008631453,0.00007890158,0.00014223838,0.000026992397,0.0028497125],"genre_scores_gemma":[0.99801326,0.000059437654,0.0014768812,0.0000058181145,0.0000020669786,0.000024010495,0.000045018995,0.0000044046533,0.00036914708],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99915075,0.00037846973,0.000032751497,0.00007581272,0.00014497459,0.000217243],"domain_scores_gemma":[0.99761957,0.0015722382,0.00023768019,0.000117291405,0.00031850228,0.00013463951],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020387773,0.0011291357,0.0007345515,0.0020839046,0.0005787268,0.0011926232,0.0013983473,0.0011785249,0.0018186495],"category_scores_gemma":[0.0028153986,0.0005370017,0.0010549633,0.0010435703,0.0009307581,0.0012994484,0.00087791606,0.00068365224,0.000065109576],"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":[0.00013669748,0.00023107564,0.008141426,0.000058900383,0.000042676347,0.00028455985,0.00003135613,0.98413336,0.0011492074,0.0012689407,0.00013830935,0.004383526],"study_design_scores_gemma":[0.00003308503,0.0004430781,0.005698964,0.000009033308,0.00006589183,0.00003433845,0.00021339241,0.991269,0.0014527203,0.000545079,0.00021679029,0.00001867608],"about_ca_topic_score_codex":0.03184519,"about_ca_topic_score_gemma":0.026552795,"teacher_disagreement_score":0.03184519,"about_ca_system_score_codex":0.0043561463,"about_ca_system_score_gemma":0.0019249823,"threshold_uncertainty_score":0.06331962},"labels":[],"label_agreement":null},{"id":"W2972935226","doi":"10.14796/jwmm.c467","title":"An Innovative Method for Installing a Separate Sewer System in Narrow Streets","year":2019,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Hydraulic and Pneumatic Systems","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Liverpool John Moores University","keywords":"Installation; Sanitary sewer; Construction engineering; Civil engineering; Computer science; Environmental science; Engineering; Transport engineering; Environmental engineering; Operating system","score_opus":0.015556444032037988,"score_gpt":0.26067669316646835,"score_spread":0.24512024913443037,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2972935226","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":[0.119895816,0.00021439574,0.8705785,0.0001293948,0.000120578385,0.00027045203,0.00011753463,0.0018790322,0.006794305],"genre_scores_gemma":[0.66050154,0.00019488137,0.3288307,0.000042765238,0.00003903084,0.00027216843,0.00010013119,0.000067766756,0.0099510895],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99947363,0.00006610937,0.000037883416,0.00016347098,0.000198402,0.00006057767],"domain_scores_gemma":[0.9995691,0.00007443611,0.000081480895,0.000109799075,0.00012383044,0.000041331314],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029114765,0.000540166,0.00043443067,0.00073432864,0.00038794294,0.00061798736,0.00094458257,0.0008162927,0.0031116193],"category_scores_gemma":[0.000651074,0.00039874317,0.00044699042,0.00040591764,0.00036459824,0.00093703024,0.0009570335,0.00044613352,0.00094817264],"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":[0.00039557077,0.0003874986,0.0044441316,0.0004773729,0.000056808905,0.00064161135,0.00033483835,0.04490393,0.5866731,0.008180256,0.0026143075,0.35089058],"study_design_scores_gemma":[0.00023914501,0.002862901,0.010790803,0.00009890761,0.00022254571,0.0021987688,0.0002917368,0.41021007,0.49132478,0.0036253864,0.077925526,0.00020942974],"about_ca_topic_score_codex":0.00071349676,"about_ca_topic_score_gemma":0.0013736599,"teacher_disagreement_score":0.0031116193,"about_ca_system_score_codex":0.00023573224,"about_ca_system_score_gemma":0.0006556479,"threshold_uncertainty_score":0.010409415},"labels":[],"label_agreement":null},{"id":"W2973137666","doi":"10.14796/jwmm.c468","title":"Hydrological Efficacy of Ontario’s Bioretention Cell Design Recommendations: A Case Study from North York, Ontario","year":2019,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Urban Stormwater Management Solutions","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Bioretention; Environmental science; Water resource management; Hydrology (agriculture); Stormwater; Engineering; Surface runoff; Ecology; Biology; Geotechnical engineering","score_opus":0.04899769149559539,"score_gpt":0.22502757955644156,"score_spread":0.17602988806084618,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2973137666","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":[0.991096,0.00010556994,0.0011198048,0.0002534332,0.0000078118255,0.00015028875,0.00046568937,0.000035088487,0.0067661963],"genre_scores_gemma":[0.9943831,0.0001597417,0.0015182671,0.000043083168,0.000002627544,0.000057986796,0.00031045097,0.000011139698,0.0035136829],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99920183,0.00016367514,0.00003057832,0.000090958565,0.00028053732,0.00023243857],"domain_scores_gemma":[0.9985752,0.00044160197,0.00013465827,0.000065238935,0.0006158153,0.0001675622],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00071975007,0.00052188593,0.0002874331,0.00037124034,0.0020260438,0.0011733896,0.0009909156,0.00073512574,0.0014585311],"category_scores_gemma":[0.0019859464,0.00033093485,0.00046554464,0.0007983677,0.0011386051,0.00043933842,0.0005185123,0.00036650043,0.00014126972],"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":[0.0014169697,0.0009685793,0.29010284,0.00076346163,0.00027227253,0.008284027,0.0062965527,0.57856905,0.041165344,0.0063525345,0.012181696,0.053626627],"study_design_scores_gemma":[0.00052247825,0.0020068255,0.35432005,0.00015520395,0.00039942493,0.0005897696,0.023272434,0.55892885,0.017921772,0.0014640959,0.04008791,0.00033127674],"about_ca_topic_score_codex":0.96814716,"about_ca_topic_score_gemma":0.98658353,"teacher_disagreement_score":0.038456034,"about_ca_system_score_codex":0.038456034,"about_ca_system_score_gemma":0.020372903,"threshold_uncertainty_score":0.27901942},"labels":[],"label_agreement":null},{"id":"W2999512567","doi":"10.14796/jwmm.c469","title":"Operation of the Grand Ethiopian Renaissance Dam: Potential Risks and Mitigation Measures","year":2020,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Water resources management and optimization","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"The Renaissance; Environmental science; History; Art history","score_opus":0.027613317057345738,"score_gpt":0.2110284686777364,"score_spread":0.18341515162039065,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2999512567","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":[0.9792571,0.00023250663,0.013808281,0.00055327883,0.00003356489,0.000050781284,0.0002802082,0.00006113697,0.0057231556],"genre_scores_gemma":[0.9968285,0.00012312322,0.0022774627,0.0000143319685,0.0000019906083,0.000014034003,0.000040542716,0.0000063894395,0.0006935341],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997826,0.00009247207,0.000005541186,0.000025299007,0.000026151467,0.00006805243],"domain_scores_gemma":[0.99967766,0.00017216764,0.00005098204,0.000017244642,0.00004839992,0.00003357639],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00094567536,0.0006505489,0.0004740619,0.00036891043,0.0005117035,0.000919117,0.000605711,0.0008244798,0.0013172462],"category_scores_gemma":[0.0011328683,0.00033099166,0.0005371425,0.00030755711,0.0004879983,0.00087849225,0.00048733308,0.0005004918,0.00007681166],"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":[0.000053186788,0.000020246292,0.003940279,0.000022604017,0.000022109181,0.0001459824,0.000023295539,0.99144906,0.00078920723,0.0014904517,0.00011818756,0.0019253741],"study_design_scores_gemma":[0.00002997037,0.00020878094,0.0060324077,0.000022774373,0.00005406059,0.000053627817,0.00033465485,0.9881782,0.0024782852,0.0014695907,0.001100589,0.00003705342],"about_ca_topic_score_codex":0.017700804,"about_ca_topic_score_gemma":0.023462756,"teacher_disagreement_score":0.017700804,"about_ca_system_score_codex":0.0016316142,"about_ca_system_score_gemma":0.0020579197,"threshold_uncertainty_score":0.03519553},"labels":[],"label_agreement":null},{"id":"W3013304162","doi":"10.14796/jwmm.c470","title":"Seeking Substantiality: Evaluation of Public Attitudes toward Resilient Wastewater Reuse Management","year":2020,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Wastewater Treatment and Reuse","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Reuse; Wastewater reuse; Wastewater; Water resources; Business; Environmental planning; Water resource management; Environmental economics; Environmental science; Environmental resource management; Waste management; Environmental engineering; Engineering; Economics","score_opus":0.09863798885223736,"score_gpt":0.2774603869679101,"score_spread":0.17882239811567274,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3013304162","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":[0.9962843,0.000023108198,0.00022806562,0.00022773026,0.000010139619,0.00010629153,0.000026771924,0.000006212516,0.003087507],"genre_scores_gemma":[0.9989159,0.00004230962,0.00038429888,0.000067533896,0.000004996379,0.000109955785,0.000027489996,0.0000016225712,0.0004459044],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99463826,0.0029523487,0.0003421996,0.00019592769,0.0012465859,0.0006247962],"domain_scores_gemma":[0.98671573,0.0061105196,0.0026678147,0.00056222617,0.0025946137,0.0013490384],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.011485016,0.00032137986,0.00030095762,0.001177127,0.0012399756,0.0015217266,0.00038071765,0.0007092137,0.002274733],"category_scores_gemma":[0.01780805,0.00018736011,0.0008662992,0.0006327098,0.0014659105,0.0011807014,0.0017470579,0.0011067189,0.00027223583],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012682965,0.004674271,0.667638,0.0010640337,0.0002600878,0.00066060043,0.16628224,0.0011772445,0.0052322675,0.0034536985,0.0024222063,0.14586698],"study_design_scores_gemma":[0.00015032112,0.0058838064,0.65062225,0.00033996528,0.0002371634,0.00023300429,0.323588,0.0019425795,0.0047806483,0.0023013987,0.009815415,0.00010542787],"about_ca_topic_score_codex":0.0018140294,"about_ca_topic_score_gemma":0.0025564644,"teacher_disagreement_score":0.011485016,"about_ca_system_score_codex":0.002176726,"about_ca_system_score_gemma":0.0027334993,"threshold_uncertainty_score":0.06073928},"labels":[],"label_agreement":null},{"id":"W3035107854","doi":"10.14796/jwmm.c471","title":"A Comparative Study of 2-Dimensional Hydraulic Modeling Software, Case Study: Sorrento Valley, San Diego, California","year":2020,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Flood Risk Assessment and Management","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"San Diego State University","keywords":"Flood myth; Archaeology; Engineering; Geography","score_opus":0.04801288713063511,"score_gpt":0.28139151319562966,"score_spread":0.23337862606499454,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3035107854","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":[0.9571332,0.0003181292,0.011259765,0.00063003885,0.000038734564,0.00022091021,0.0012033684,0.00088275893,0.028313123],"genre_scores_gemma":[0.97708136,0.00044674755,0.016126102,0.00006991147,0.000010490186,0.00021237179,0.0013417652,0.0001314735,0.0045798197],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983719,0.00070487853,0.000134119,0.00024427695,0.00042605825,0.000118768476],"domain_scores_gemma":[0.99337703,0.004354584,0.00027663336,0.00040843774,0.0013666431,0.00021664656],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027329894,0.0007399163,0.00053052924,0.0015503427,0.0013726582,0.0031105087,0.0018047849,0.0011264344,0.002784119],"category_scores_gemma":[0.00792544,0.00058692764,0.00070080295,0.002432184,0.0007599722,0.0020096984,0.000937944,0.00069965515,0.00030503934],"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":[0.00053345354,0.0014230326,0.06698373,0.00035062013,0.0001110739,0.00128344,0.00331484,0.84439206,0.001742165,0.010740426,0.012216803,0.05690832],"study_design_scores_gemma":[0.00016281733,0.0005245826,0.023233151,0.000090424495,0.0000718091,0.00018116826,0.003967903,0.95572287,0.0012406039,0.001300549,0.013394497,0.00010968905],"about_ca_topic_score_codex":0.1583349,"about_ca_topic_score_gemma":0.19716637,"teacher_disagreement_score":0.1583349,"about_ca_system_score_codex":0.0045662024,"about_ca_system_score_gemma":0.003075864,"threshold_uncertainty_score":0.3148266},"labels":[],"label_agreement":null},{"id":"W3081620617","doi":"10.14796/jwmm.c472","title":"Assessing the Performance of a Hydrological Tank Model at Various Spatial Scales","year":2020,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Hydrograph; Watershed; Surface runoff; Hydrology (agriculture); Environmental science; Flow (mathematics); Geology; Mathematics; Geotechnical engineering; Computer science; Ecology","score_opus":0.02768625899301952,"score_gpt":0.2393026073893285,"score_spread":0.21161634839630897,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3081620617","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":[0.9694315,0.00008132294,0.028083032,0.00013768124,0.00002097302,0.000040840456,0.0003602929,0.00064235186,0.0012019572],"genre_scores_gemma":[0.9869565,0.000054051092,0.0122245215,0.000020842866,0.000004669195,0.000026210388,0.0003446755,0.000045307665,0.00032324746],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99950206,0.00018809973,0.000049948816,0.00010334032,0.000095567884,0.000060968057],"domain_scores_gemma":[0.9964055,0.0025219708,0.00026553505,0.00026113124,0.00041533582,0.00013045031],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025370147,0.0008819885,0.0007428271,0.0004870751,0.0003835204,0.0010471636,0.000883508,0.0009682623,0.0010299893],"category_scores_gemma":[0.0069002565,0.00037471988,0.00052638876,0.0006142878,0.00044003144,0.0018316227,0.0006037816,0.0005781474,0.00023074156],"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":[0.00044889035,0.0001994621,0.025964996,0.00004458962,0.00015647571,0.00009586995,0.000055422282,0.95597535,0.0070569636,0.0004519033,0.00020456294,0.009345535],"study_design_scores_gemma":[0.000013644866,0.000073647185,0.0019074276,0.0000025389033,0.000019182176,0.000007741221,0.000030403406,0.99608177,0.0017300523,0.000076980614,0.000048091762,0.000008467911],"about_ca_topic_score_codex":0.025581136,"about_ca_topic_score_gemma":0.012678228,"teacher_disagreement_score":0.025581136,"about_ca_system_score_codex":0.0007617242,"about_ca_system_score_gemma":0.001081588,"threshold_uncertainty_score":0.050864458},"labels":[],"label_agreement":null},{"id":"W3160193680","doi":"10.14796/jwmm.c474","title":"Modeling a Bioretention Basin and Vegetated Swale with a Trapezoidal Cross Section using SWMM LID Controls","year":2021,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Urban Stormwater Management Solutions","field":"Environmental Science","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"EXP (Canada); Polytechnique Montréal","funders":"","keywords":"Bioretention; Swale; Environmental science; Stormwater; Hydrology (agriculture); Inflow; Outflow; Stormwater management; Low-impact development; Hydraulic conductivity; Surface runoff; Geotechnical engineering; Soil science; Engineering; Soil water; Geology","score_opus":0.020005377029455575,"score_gpt":0.22837532904176197,"score_spread":0.2083699520123064,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3160193680","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":[0.92816216,0.00013361938,0.057117358,0.00012336494,0.000026047446,0.00009664851,0.00069802505,0.00028886818,0.013353888],"genre_scores_gemma":[0.9911555,0.00005666444,0.006002495,0.000015917514,0.0000025180389,0.00005093017,0.00015626736,0.000021955908,0.002537849],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99987614,0.00002287594,0.000006912078,0.000037926406,0.000022324082,0.000033818025],"domain_scores_gemma":[0.9997938,0.000081939375,0.000037508857,0.000018789258,0.000042470972,0.000025524572],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022344172,0.00041761444,0.00030209514,0.00037067872,0.00031666327,0.00089100027,0.0008879623,0.00088633597,0.0017066151],"category_scores_gemma":[0.0004607559,0.0003226724,0.00054662983,0.0002884744,0.000551515,0.00036454332,0.0006178607,0.000409919,0.00017089021],"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":[0.000015220588,0.000017741073,0.0017816499,0.0000093491835,0.000004509701,0.00006576934,0.000016061158,0.99549896,0.0012275091,0.00041120837,0.00005521995,0.0008966613],"study_design_scores_gemma":[0.0000066601583,0.000014693677,0.00094364793,0.000003559945,0.0000039595125,0.000012036457,0.000019936515,0.9980836,0.0005043227,0.00013480597,0.00026848438,0.000004350158],"about_ca_topic_score_codex":0.03143129,"about_ca_topic_score_gemma":0.018732484,"teacher_disagreement_score":0.03143129,"about_ca_system_score_codex":0.0009869039,"about_ca_system_score_gemma":0.0008879314,"threshold_uncertainty_score":0.062496662},"labels":[],"label_agreement":null},{"id":"W3176424434","doi":"10.14796/jwmm.c473","title":"Identification of Design Rainfall Changes Using Regional Frequency Analysis: A Case Study in Ontario, Canada","year":2021,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Hydrology and Drought Analysis","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"University of Guelph","funders":"Ontario Research Foundation","keywords":"Identification (biology); Climatology; Environmental science; Geography; Physical geography; Meteorology; Geology; Ecology","score_opus":0.04649632064532608,"score_gpt":0.250141272146521,"score_spread":0.2036449515011949,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3176424434","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":[0.9950021,0.00021710776,0.0011112654,0.00020015465,0.0000029610715,0.00006815389,0.00096711837,0.00002163745,0.0024095243],"genre_scores_gemma":[0.9963031,0.00022683892,0.0019079269,0.000025931906,0.000002590006,0.000013942625,0.00043388587,0.000006731952,0.0010791009],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992706,0.00009830185,0.000040678417,0.000099029014,0.000252995,0.0002384455],"domain_scores_gemma":[0.9982437,0.0003544368,0.00027970222,0.00009533622,0.0008628987,0.00016400374],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00075062114,0.00028139455,0.0002583764,0.0010900015,0.0016491478,0.00093947165,0.000898362,0.00044090225,0.0005682825],"category_scores_gemma":[0.0028110377,0.0002065727,0.00025717606,0.0045415997,0.0007184925,0.00030223368,0.0004756808,0.0003576086,0.00006499506],"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":[0.00022956755,0.00013072186,0.90601265,0.00016945276,0.00011428892,0.006193028,0.0067177895,0.018493727,0.0036634537,0.0012561745,0.002414496,0.054604683],"study_design_scores_gemma":[0.000019431582,0.000048060752,0.9698084,0.000040768406,0.000059591144,0.00036280113,0.009512151,0.015890965,0.00063956395,0.00017405032,0.0034071046,0.000037040423],"about_ca_topic_score_codex":0.9938731,"about_ca_topic_score_gemma":0.9976043,"teacher_disagreement_score":0.020661704,"about_ca_system_score_codex":0.020661704,"about_ca_system_score_gemma":0.016977008,"threshold_uncertainty_score":0.14991188},"labels":[],"label_agreement":null},{"id":"W3183470465","doi":"10.14796/jwmm.c475","title":"Urban Tree Rainfall Interception Measurement and Modeling in WinSLAMM, the Source Loading and Management Model","year":2021,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Interception; Environmental science; Tree (set theory); Hydrology (agriculture); Geology; Mathematics; Geotechnical engineering; Ecology","score_opus":0.048369204398428726,"score_gpt":0.20972435257566968,"score_spread":0.16135514817724095,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3183470465","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":[0.742865,0.00022392799,0.23470697,0.00026413237,0.000028539953,0.0001600013,0.0023611225,0.0012892816,0.018100986],"genre_scores_gemma":[0.94438845,0.00019239502,0.04614164,0.000029841312,0.00000899871,0.00014707091,0.0014263258,0.0001111195,0.007554274],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999032,0.000022732242,0.0000068214354,0.000023951621,0.000024916722,0.000018441744],"domain_scores_gemma":[0.99986243,0.000047990936,0.000022310665,0.000014290758,0.000042258092,0.000010638642],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031557799,0.00028273676,0.00021467618,0.00030892363,0.0002619722,0.0005413293,0.00059739425,0.00030943652,0.0015521743],"category_scores_gemma":[0.000459147,0.0002347483,0.0003080225,0.00049092126,0.00017488735,0.0005155892,0.00036480668,0.00026544608,0.00026268626],"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":[0.000021885246,0.000031140884,0.004981973,0.000014424983,0.000010276912,0.00003499441,0.000030123654,0.9825065,0.0009172182,0.0024251596,0.00048223624,0.008544103],"study_design_scores_gemma":[0.0000023579425,0.0000056738177,0.0008724177,0.0000014283108,0.0000023686935,0.000004864584,0.000009009038,0.9980666,0.000274375,0.00027078638,0.0004871901,0.0000029626772],"about_ca_topic_score_codex":0.04478297,"about_ca_topic_score_gemma":0.048844207,"teacher_disagreement_score":0.04478297,"about_ca_system_score_codex":0.0008741915,"about_ca_system_score_gemma":0.0008351702,"threshold_uncertainty_score":0.08904463},"labels":[],"label_agreement":null},{"id":"W3205080380","doi":"10.14796/jwmm.c476","title":"Bridging the Form and Function Gap in Urban Green Space Design through Environmental Systems Modeling","year":2021,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Land Use and Ecosystem Services","field":"Environmental Science","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Thammasat University","keywords":"Green infrastructure; Urban design; Urban planning; Low-impact development; Redevelopment; Environmental planning; Stormwater; Multidisciplinary approach; Ecosystem services; Civil engineering; Sustainability; Space (punctuation); Environmental design; Landscape architecture; Architectural engineering; Computer science; Environmental resource management; Engineering; Environmental science; Surface runoff; Stormwater management; Ecology","score_opus":0.026493899107047626,"score_gpt":0.1978909613199638,"score_spread":0.17139706221291617,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3205080380","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":[0.23019344,0.00075070147,0.6984904,0.003959499,0.00006155144,0.0002715633,0.0003321222,0.00039356475,0.06554712],"genre_scores_gemma":[0.8554581,0.00069367565,0.13811643,0.00012133766,0.000015561167,0.0002959965,0.00012777516,0.0001118826,0.005059255],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99875665,0.00084025157,0.000038887032,0.000105475214,0.00017574117,0.00008299082],"domain_scores_gemma":[0.9978375,0.0015766757,0.0001407972,0.0001529338,0.00018733695,0.00010479198],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00228531,0.00073061994,0.00054921187,0.001311423,0.0015933454,0.005019909,0.0013967168,0.0016540784,0.0025109726],"category_scores_gemma":[0.0032126643,0.0006954144,0.0009202812,0.0015672954,0.0024452156,0.0027797378,0.0034823602,0.0011429121,0.00021039923],"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":[0.000020386384,0.00006295615,0.0036332665,0.000121359124,0.000028239843,0.00016858449,0.0017383097,0.87017393,0.000862937,0.1104682,0.0004604841,0.012261311],"study_design_scores_gemma":[0.000008644271,0.00003404952,0.0007206644,0.00006922401,0.00001581521,0.00003878407,0.001673021,0.94728893,0.0005951478,0.041028023,0.008503249,0.000024558487],"about_ca_topic_score_codex":0.021593275,"about_ca_topic_score_gemma":0.034368113,"teacher_disagreement_score":0.021593275,"about_ca_system_score_codex":0.0044705677,"about_ca_system_score_gemma":0.0029754555,"threshold_uncertainty_score":0.042935193},"labels":[],"label_agreement":null},{"id":"W3212935684","doi":"10.14796/jwmm.c477","title":"Stormwater Biofilter Media Performance Updates for WinSLAMM: Data Summary for Unit Process Components, Example Calculations and Model Use","year":2021,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Urban Stormwater Management Solutions","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"University of Alabama; University of Pennsylvania; U.S. Environmental Protection Agency; University of Alabama at Birmingham; Pennsylvania State University; Boeing","keywords":"Biofilter; Pollutant; Environmental science; Stormwater; Particulates; Leaching (pedology); Environmental engineering; Hydrology (agriculture); Engineering; Soil water; Surface runoff; Soil science; Geotechnical engineering","score_opus":0.14789558005392806,"score_gpt":0.279242076671036,"score_spread":0.13134649661710796,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3212935684","genre_codex":"dataset","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":[0.04734665,0.0014308554,0.036464654,0.000593206,0.0001874921,0.0011413014,0.83523095,0.037640397,0.039964516],"genre_scores_gemma":[0.086111926,0.0018762663,0.04488428,0.0002535952,0.00008498913,0.0020208792,0.83976245,0.007117278,0.017888373],"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9967573,0.00029246463,0.0003715993,0.00029639536,0.0021337047,0.00014852473],"domain_scores_gemma":[0.98991525,0.002760604,0.0008917507,0.0014774463,0.004786173,0.0001688168],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0034008748,0.0020643147,0.0012464889,0.0035111664,0.0006176108,0.0022383302,0.0029381812,0.0008472577,0.037010986],"category_scores_gemma":[0.012799994,0.0010912655,0.0012872178,0.0038876147,0.00013390943,0.0033383155,0.0011191671,0.0012706788,0.024966583],"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":[0.0020924776,0.0009939808,0.024387034,0.0030834037,0.0002719103,0.00027456798,0.00039564417,0.046434693,0.011238241,0.0021260546,0.59802145,0.31068045],"study_design_scores_gemma":[0.00040783544,0.0008640668,0.057080757,0.00086943974,0.0003815806,0.00044330704,0.00031700992,0.07102721,0.07107895,0.0016976559,0.79550964,0.00032243787],"about_ca_topic_score_codex":0.021175891,"about_ca_topic_score_gemma":0.015886303,"teacher_disagreement_score":0.037010986,"about_ca_system_score_codex":0.0020825407,"about_ca_system_score_gemma":0.0014306967,"threshold_uncertainty_score":0.123814106},"labels":[],"label_agreement":null},{"id":"W4206355457","doi":"10.14796/jwmm.c478","title":"A New Look at Geyser Formation in Sewer Systems","year":2021,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Geotechnical Engineering and Underground Structures","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Scale (ratio); Computer science; Mechanism (biology); Phenomenon; Path (computing); Point (geometry); Data science; Risk analysis (engineering); Epistemology; Geography; Cartography; Mathematics; Business","score_opus":0.009399629553108035,"score_gpt":0.1864350180135632,"score_spread":0.17703538846045516,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4206355457","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":[0.77343416,0.061188195,0.04432089,0.02147503,0.0017286307,0.00010705879,0.0007539861,0.00039198325,0.0966],"genre_scores_gemma":[0.9466039,0.022154419,0.014667852,0.00086672517,0.00066344166,0.000020889649,0.00021301508,0.00009250576,0.0147172725],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9997112,0.00008395849,0.00001704777,0.00006172065,0.00008218945,0.000043814645],"domain_scores_gemma":[0.999571,0.00019314032,0.00007460824,0.000033858527,0.0000784421,0.000049026574],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000425076,0.00023669955,0.0004603535,0.0014368616,0.0011708846,0.0021694708,0.0005522241,0.0016168322,0.004483502],"category_scores_gemma":[0.0009901546,0.00028414954,0.00043218507,0.0010596339,0.0018476194,0.004279157,0.0011977843,0.0012621322,0.0002864409],"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":[0.00063813623,0.00040540518,0.13159338,0.0050662723,0.00029852224,0.027182791,0.079871245,0.046640355,0.07653671,0.20434214,0.034975234,0.3924497],"study_design_scores_gemma":[0.000020236532,0.00081650034,0.25970557,0.0020764098,0.00011161653,0.009134839,0.08700759,0.03161195,0.009944853,0.07012256,0.52910596,0.00034195327],"about_ca_topic_score_codex":0.008230623,"about_ca_topic_score_gemma":0.015249688,"teacher_disagreement_score":0.008230623,"about_ca_system_score_codex":0.0009368744,"about_ca_system_score_gemma":0.00045147756,"threshold_uncertainty_score":0.016365409},"labels":[],"label_agreement":null},{"id":"W4206460984","doi":"10.14796/jwmm.c479","title":"Multiphase Rapid Filling Conditions of Tunnel System in Columbus, Ohio","year":2022,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Hydraulic flow and structures","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Inflow; Environmental science; Marine engineering; Ventilation (architecture); Combined sewer; Surge; Engineering; Civil engineering; Meteorology; Surface runoff; Mechanical engineering","score_opus":0.010458056130641482,"score_gpt":0.1998613096974557,"score_spread":0.1894032535668142,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4206460984","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":[0.99681985,0.000018218125,0.0005278736,0.000049365586,0.000014202476,0.000030837065,0.0003380292,0.000045840523,0.002155747],"genre_scores_gemma":[0.998379,0.000018898018,0.00062860793,0.000009211933,0.0000021083436,0.000025800218,0.00021620023,0.000006420492,0.0007137705],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99977094,0.00003093544,0.000011099403,0.000044385717,0.00005348627,0.00008916823],"domain_scores_gemma":[0.9995678,0.00010127188,0.000050744733,0.00003562831,0.00013842779,0.00010601791],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00043959625,0.00028792815,0.00036255879,0.0004604446,0.0019899928,0.0015236319,0.00036820085,0.0009024019,0.003534034],"category_scores_gemma":[0.00085717224,0.0002562296,0.00034771292,0.000519518,0.0004933277,0.0008616774,0.0005451418,0.00069536164,0.0002140924],"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":[0.0026711288,0.003126218,0.286399,0.00047602734,0.00010446119,0.0069295764,0.0026074497,0.45223576,0.17787516,0.0056721685,0.009064458,0.05283862],"study_design_scores_gemma":[0.0004582159,0.002913591,0.2815521,0.000118344266,0.00008305487,0.00065492274,0.006896657,0.6681768,0.027390853,0.0021055792,0.009429643,0.0002203359],"about_ca_topic_score_codex":0.040355828,"about_ca_topic_score_gemma":0.09262594,"teacher_disagreement_score":0.040355828,"about_ca_system_score_codex":0.0013235462,"about_ca_system_score_gemma":0.002369262,"threshold_uncertainty_score":0.08024186},"labels":[],"label_agreement":null},{"id":"W4210356852","doi":"10.14796/jwmm.c480","title":"Urban Flood Modeling of a Partially Separated and Combined Drainage System in the Grefsen Basin in Oslo, Norway","year":2022,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Nature; Norsk institutt for naturforskning; Norges Forskningsråd","keywords":"Surface runoff; Storm Water Management Model; Drainage basin; Environmental science; Calibration; Hydrology (agriculture); Flood myth; Drainage; HEC-HMS; Stormwater; Hydrological modelling; Statistics; Geology; Mathematics; Geography; Climatology; Geotechnical engineering","score_opus":0.012904414094328668,"score_gpt":0.20692981398864418,"score_spread":0.19402539989431553,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4210356852","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":[0.99819714,0.00003089446,0.0010045269,0.000020834934,0.0000047013345,0.000011090198,0.0001609447,0.000025629168,0.0005442688],"genre_scores_gemma":[0.9988625,0.000020736372,0.0007406643,0.0000038280705,0.0000015302564,0.00001023925,0.00013005338,0.000005072617,0.00022537247],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998387,0.000045082932,0.000013517748,0.000045211324,0.0000147964465,0.000042751122],"domain_scores_gemma":[0.99970907,0.00014948529,0.00004229894,0.000022169686,0.0000445368,0.000032343385],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041757544,0.00044491654,0.0003679935,0.00035008314,0.00041819367,0.0008200669,0.0005694073,0.00059449155,0.0006704601],"category_scores_gemma":[0.00070273306,0.00030380383,0.00043089315,0.00043348497,0.0005708838,0.00047902594,0.00040204765,0.00025407475,0.000045828758],"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":[0.0000895436,0.0001029449,0.026782038,0.000022470085,0.000024236228,0.0001745546,0.00012044571,0.9674691,0.0012454925,0.00036852344,0.00021685522,0.0033838598],"study_design_scores_gemma":[0.000024391868,0.000045652,0.020965317,0.0000069370385,0.0000100575,0.0000148720055,0.00015084159,0.9781139,0.0003255321,0.00015248595,0.00017993488,0.000010031818],"about_ca_topic_score_codex":0.13246645,"about_ca_topic_score_gemma":0.11827404,"teacher_disagreement_score":0.13246645,"about_ca_system_score_codex":0.0012949987,"about_ca_system_score_gemma":0.0011979407,"threshold_uncertainty_score":0.26339078},"labels":[],"label_agreement":null},{"id":"W4210994585","doi":"10.14796/jwmm.c481","title":"Statistical Assessments of River Flow Alterations and Environmental Flow Standards","year":2022,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Water resources management and optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Tributary; Metropolitan area; Environmental science; Water resources; Drainage basin; Material flow analysis; Water resource management; Hydrology (agriculture); Environmental flow; Flow (mathematics); Environmental resource management; Geography; Engineering; Geology; Ecology","score_opus":0.00860928591030105,"score_gpt":0.21378633959543553,"score_spread":0.20517705368513448,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4210994585","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":[0.83953553,0.000243005,0.13853875,0.0004943693,0.0000688832,0.00041479612,0.007099967,0.0008510114,0.012753607],"genre_scores_gemma":[0.9849904,0.0000837072,0.01123508,0.000040622785,0.00003393585,0.00024097455,0.0026928098,0.000054660813,0.0006276765],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9837557,0.008597436,0.0010888376,0.0015237299,0.004584217,0.0004500189],"domain_scores_gemma":[0.8879543,0.080276914,0.016328966,0.008190818,0.0066845072,0.00056454155],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.024145912,0.0005331166,0.00044201556,0.004028837,0.0003750047,0.0013959721,0.00062196783,0.00037698777,0.0014226191],"category_scores_gemma":[0.06676605,0.00027997786,0.0008176916,0.0040432685,0.001308124,0.0017643279,0.0011853301,0.00092580466,0.00013544688],"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":[0.00039265727,0.00022100816,0.5932023,0.00011908984,0.00065068435,0.00015256333,0.0002658436,0.3277807,0.0012900595,0.018457392,0.0026138648,0.054853864],"study_design_scores_gemma":[0.000029630139,0.0008787418,0.34095323,0.000050182658,0.00018189095,0.00011989318,0.00064924307,0.62529325,0.004093122,0.019241756,0.008428535,0.000080566344],"about_ca_topic_score_codex":0.0035328935,"about_ca_topic_score_gemma":0.0042018387,"teacher_disagreement_score":0.024145912,"about_ca_system_score_codex":0.0012455673,"about_ca_system_score_gemma":0.0019348209,"threshold_uncertainty_score":0.12769735},"labels":[],"label_agreement":null},{"id":"W4213192181","doi":"10.14796/jwmm.c482","title":"Modeling Rainfall–Runoff Responses and Antecedent Moisture Effects Using Principles of System Identification","year":2022,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Urban Stormwater Management Solutions","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Antecedent (behavioral psychology); Antecedent moisture; Surface runoff; Environmental science; Representation (politics); System dynamics; Identification (biology); Computer science; Process (computing); Hydrological modelling; Field (mathematics); Moisture; System identification; Hydrology (agriculture); Meteorology; Runoff curve number; Engineering; Mathematics; Data mining; Geotechnical engineering; Geology; Climatology; Ecology; Geography","score_opus":0.02635164462146503,"score_gpt":0.230660118358302,"score_spread":0.20430847373683697,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4213192181","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":[0.15834571,0.00031901282,0.8326759,0.0002672451,0.00002936994,0.00014159078,0.00018229437,0.00048562343,0.0075533516],"genre_scores_gemma":[0.9375382,0.00046611234,0.05895554,0.000051750932,0.000017845272,0.00016530446,0.00015950797,0.000041509385,0.002604204],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99982375,0.00006916565,0.000009379453,0.00003209791,0.000044969238,0.000020655223],"domain_scores_gemma":[0.99973816,0.00017877034,0.000034989604,0.000015492742,0.000026360152,0.000006243347],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045268636,0.0004713507,0.00035878742,0.00033673618,0.00029883214,0.0005695001,0.0004132214,0.00052326097,0.00096347986],"category_scores_gemma":[0.001168222,0.00033310853,0.0005345965,0.0003121792,0.00027583214,0.0010010893,0.00044612607,0.00055340043,0.00015283229],"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":[0.000010219282,0.000028516948,0.0011795398,0.000031231782,0.000021815671,0.000018189507,0.00005552046,0.98569113,0.0020169986,0.0028191654,0.000100323574,0.008027265],"study_design_scores_gemma":[0.000004472213,0.000020227006,0.00042712694,0.0000037174977,0.000008179311,0.000008336594,0.0000121612,0.9962219,0.00074003934,0.0020430044,0.00050604116,0.00000482186],"about_ca_topic_score_codex":0.0073824674,"about_ca_topic_score_gemma":0.005725611,"teacher_disagreement_score":0.0073824674,"about_ca_system_score_codex":0.000515386,"about_ca_system_score_gemma":0.0009277036,"threshold_uncertainty_score":0.014678955},"labels":[],"label_agreement":null},{"id":"W4213319603","doi":"10.14796/jwmm.c483","title":"Thermal Mitigation of Stormwater Management Pond Outflows Using Geothermal Cooling","year":2002,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Geothermal Energy Systems and Applications","field":"Energy","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Toronto and Region Conservation Authority","funders":"","keywords":"Environmental science; Stormwater; Outflow; Surface runoff; Geothermal energy; Geothermal gradient; Passive cooling; Hydrology (agriculture); Heat exchanger; Environmental engineering; Urban runoff; Thermal energy storage; Meteorology; Thermal; Geology; Engineering","score_opus":0.027300546613843277,"score_gpt":0.22379514353923033,"score_spread":0.19649459692538707,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4213319603","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":[0.8804133,0.00011754362,0.111113176,0.00013397621,0.00002006421,0.00014289058,0.00018012778,0.0005816021,0.007297427],"genre_scores_gemma":[0.99460226,0.000044220855,0.0044770627,0.0000043887367,0.0000018142689,0.000024729381,0.00004084845,0.000007028957,0.0007976053],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99991727,0.000014283967,0.0000030578146,0.000014682004,0.000025267087,0.000025344023],"domain_scores_gemma":[0.9999399,0.000016252608,0.000012077061,0.0000072557136,0.000016433374,0.000008041253],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012168035,0.00029704007,0.00023931624,0.00014405615,0.00048819906,0.00037768183,0.00029815282,0.0002366743,0.0010639769],"category_scores_gemma":[0.00023832372,0.00012775016,0.0002445054,0.0001817332,0.0002679747,0.0003248252,0.00039880362,0.00015669058,0.0000919055],"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":[0.00020626256,0.0001672667,0.016147593,0.00014201007,0.000029691115,0.00021015247,0.00013444423,0.78571033,0.14285311,0.0014795462,0.00094727526,0.051972333],"study_design_scores_gemma":[0.00010652954,0.00037113644,0.014836429,0.000013208728,0.000041774936,0.00004733946,0.000122016674,0.92196023,0.058253378,0.0009602147,0.0032674512,0.000020276082],"about_ca_topic_score_codex":0.020800337,"about_ca_topic_score_gemma":0.04812658,"teacher_disagreement_score":0.020800337,"about_ca_system_score_codex":0.0008443246,"about_ca_system_score_gemma":0.001141146,"threshold_uncertainty_score":0.04135859},"labels":[],"label_agreement":null},{"id":"W4226023263","doi":"10.14796/jwmm.c486","title":"Water Quality Modeling of the River Ganga in the Northern Region of India Using the Artificial Neural Network Technique","year":2022,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Hydrological Forecasting Using AI","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Artificial neural network; Mean squared error; Multilayer perceptron; Radial basis function; Water quality; Uttar pradesh; Perceptron; Computer science; Nonlinear system; Hydrology (agriculture); Environmental science; Data mining; Mathematics; Artificial intelligence; Statistics; Ecology; Geology","score_opus":0.06608359806458866,"score_gpt":0.2611867316580601,"score_spread":0.19510313359347145,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4226023263","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":[0.97053325,0.00011840636,0.025049284,0.00020931092,0.000015296428,0.000032215463,0.00029452896,0.00028094716,0.0034668483],"genre_scores_gemma":[0.997068,0.00006015592,0.0021298039,0.00000623143,0.000002201329,0.000010342381,0.00011529494,0.0000048318684,0.0006030699],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999279,0.00002056607,0.0000057456373,0.000015787151,0.000016888864,0.000013109144],"domain_scores_gemma":[0.9999244,0.00003150028,0.0000130373355,0.000005653466,0.000020692676,0.000004637615],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012152311,0.00024984256,0.000194061,0.00035970885,0.00029376018,0.00048088544,0.00033656883,0.00023563427,0.00028399084],"category_scores_gemma":[0.00026636152,0.000121064746,0.00037761562,0.0006797383,0.00017557907,0.0002657867,0.00021753239,0.00020328116,0.00005753889],"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":[0.00005024747,0.00009084656,0.045272954,0.000068379384,0.00005955267,0.00027329932,0.00012767935,0.9251203,0.004729086,0.0007918494,0.0004869648,0.022928836],"study_design_scores_gemma":[0.0000051917955,0.000023313904,0.01973704,0.0000034488176,0.000014192557,0.000028211787,0.00008176808,0.9786751,0.0008081733,0.00032757394,0.00028592933,0.000010080081],"about_ca_topic_score_codex":0.06765098,"about_ca_topic_score_gemma":0.06381578,"teacher_disagreement_score":0.06765098,"about_ca_system_score_codex":0.00068041915,"about_ca_system_score_gemma":0.0008118694,"threshold_uncertainty_score":0.13451439},"labels":[],"label_agreement":null},{"id":"W4226128563","doi":"10.14796/jwmm.c485","title":"Modifying the spillway of Adhaim Dam, reducing flood impact, and saving water","year":2022,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Ministry of Water Resources","keywords":"Spillway; Tributary; Hydrology (agriculture); Flood myth; Environmental science; Watershed; Irrigation; Water level; Weir; Downstream (manufacturing); Water resource management; Geography; Engineering; Geotechnical engineering; Computer science","score_opus":0.015956486030431972,"score_gpt":0.2288281790095537,"score_spread":0.21287169297912173,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4226128563","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":[0.98327255,0.00012305261,0.009172736,0.0002403337,0.000033242093,0.000071816416,0.00016829293,0.00023772272,0.0066802385],"genre_scores_gemma":[0.99257785,0.00009613037,0.00614696,0.00003783934,0.0000042229008,0.000022595119,0.00009427859,0.000009501663,0.0010105915],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99988306,0.000023682082,0.000006914829,0.000018757488,0.000026157211,0.000041517313],"domain_scores_gemma":[0.9998287,0.000038005634,0.000047444657,0.000027632632,0.000024829758,0.00003344767],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016546555,0.00023993402,0.0001447159,0.00037741908,0.00032795835,0.00039646085,0.00041866317,0.0002332964,0.0020656579],"category_scores_gemma":[0.00056190975,0.00006992155,0.00019308407,0.00045420055,0.00036410987,0.0006535613,0.0004968136,0.00023741266,0.00016363843],"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":[0.0007573576,0.00089589896,0.30502748,0.0005144131,0.00014166474,0.0027256447,0.0015576534,0.112511605,0.11687647,0.01419616,0.0062657227,0.43852988],"study_design_scores_gemma":[0.00019482069,0.002796175,0.61083925,0.0001761615,0.0006205357,0.002071028,0.009136933,0.1713364,0.104641505,0.015070554,0.08282184,0.00029471057],"about_ca_topic_score_codex":0.004571774,"about_ca_topic_score_gemma":0.016208239,"teacher_disagreement_score":0.004571774,"about_ca_system_score_codex":0.0004636439,"about_ca_system_score_gemma":0.0013624616,"threshold_uncertainty_score":0.009090304},"labels":[],"label_agreement":null},{"id":"W4226148411","doi":"10.14796/jwmm.c484","title":"Insights into green roof modeling using SWMM LID controls for detention-based designs","year":2022,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Urban Stormwater Management Solutions","field":"Environmental Science","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Green roof; Storm Water Management Model; Drainage; Roof; Environmental science; Bioretention; Body orifice; Surface runoff; Engineering; Stormwater; Civil engineering; Mechanical engineering","score_opus":0.05150390025465675,"score_gpt":0.24861449332142666,"score_spread":0.1971105930667699,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4226148411","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":[0.5799428,0.00019307564,0.40748045,0.0001926776,0.000038454713,0.00017541987,0.00039206436,0.0009450634,0.010639924],"genre_scores_gemma":[0.95720905,0.00010295662,0.040934246,0.000024120049,0.0000049626315,0.00006694743,0.00009380916,0.000063512714,0.0015003942],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997954,0.00006086306,0.000012682901,0.000034119894,0.00006858169,0.000028500628],"domain_scores_gemma":[0.99960965,0.00016897656,0.000057064768,0.00005318849,0.000092285976,0.000018950801],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006338137,0.00050967484,0.00035810788,0.00030277992,0.00020871565,0.00066805194,0.0008857155,0.00051333837,0.001502181],"category_scores_gemma":[0.00087657996,0.00027142596,0.0003992974,0.00018655615,0.0002578783,0.00049349066,0.00034803295,0.0003728781,0.0001833136],"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":[0.000055611814,0.00008025724,0.0036526306,0.000066706176,0.00001155081,0.00008214379,0.000070383096,0.95589757,0.0244288,0.0023273276,0.00025810068,0.0130690085],"study_design_scores_gemma":[0.0000050841013,0.000046371268,0.00077376346,0.0000064843284,0.0000043373425,0.000009937237,0.000019231587,0.99320906,0.0047894083,0.0003436632,0.00078568654,0.0000069741523],"about_ca_topic_score_codex":0.0062305504,"about_ca_topic_score_gemma":0.007864352,"teacher_disagreement_score":0.0062305504,"about_ca_system_score_codex":0.0006764792,"about_ca_system_score_gemma":0.0005919529,"threshold_uncertainty_score":0.012388587},"labels":[],"label_agreement":null},{"id":"W4247687474","doi":"10.14796/jwmm.c461","title":"Inverse Optimization based Detection of Leaks from Simulated Pressure in Water Networks, Part 2: Analysis for Two Leaks","year":2018,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Water Systems and Optimization","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"University of Ghana; Ghana Education Trust Fund","keywords":"Inverse; Leak detection; Computer science; Algorithm; Leak; Environmental science; Mathematics","score_opus":0.01341726758286961,"score_gpt":0.20593512117373228,"score_spread":0.19251785359086265,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4247687474","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":[0.51436377,0.00022696433,0.48084098,0.0004164874,0.000029420582,0.00010272994,0.00015486039,0.0006048787,0.0032599098],"genre_scores_gemma":[0.9804246,0.00007173574,0.018270891,0.00002545768,0.000008231067,0.000049898368,0.000099864665,0.0000388244,0.0010105596],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99973136,0.000087729844,0.000012845454,0.00004297601,0.00008397756,0.000041019764],"domain_scores_gemma":[0.9985196,0.0010929186,0.00010390031,0.000059751594,0.00018281041,0.000040967545],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00080346013,0.00066764303,0.00084323226,0.0004904851,0.0002694229,0.00063999486,0.0005925995,0.0010055582,0.0011483687],"category_scores_gemma":[0.0042548454,0.00043341887,0.0007501606,0.0002945752,0.0008743515,0.0008366494,0.0006931115,0.0010049596,0.00010740261],"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":[0.0001249833,0.00006079518,0.001277277,0.000060437404,0.00001894232,0.000058644684,0.000038318,0.98424226,0.0043823197,0.0010580237,0.00018830945,0.00848978],"study_design_scores_gemma":[0.0000027021354,0.0000117455465,0.0002482418,0.0000010834048,0.0000016657885,0.0000045769434,0.000003662368,0.9990108,0.0005773444,0.00011793593,0.000017495975,0.0000027569179],"about_ca_topic_score_codex":0.010822205,"about_ca_topic_score_gemma":0.003999393,"teacher_disagreement_score":0.010822205,"about_ca_system_score_codex":0.00067289063,"about_ca_system_score_gemma":0.00097230717,"threshold_uncertainty_score":0.02151841},"labels":[],"label_agreement":null},{"id":"W4248232511","doi":"10.14796/jwmm.c414","title":"Continuous Calibration","year":2017,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Calibration; Computer science; Mathematics; Statistics","score_opus":0.012962361816964234,"score_gpt":0.21573470552527094,"score_spread":0.2027723437083067,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4248232511","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":[0.01591697,0.00040929473,0.94034976,0.00029596005,0.00047054846,0.00035649716,0.0019497778,0.009754795,0.03049637],"genre_scores_gemma":[0.47738603,0.00093172473,0.47008285,0.00085009186,0.00027030747,0.0010270561,0.008861431,0.0056444095,0.034946054],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99583215,0.0006767541,0.00016625896,0.0011818785,0.0018895218,0.00025335973],"domain_scores_gemma":[0.99168795,0.001690456,0.000494778,0.0031059717,0.0028494634,0.00017152191],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0048557464,0.0015638124,0.0010514224,0.0014965406,0.00092210853,0.0030894612,0.0040410394,0.0018739927,0.037681665],"category_scores_gemma":[0.019371884,0.00086007174,0.0014329951,0.0020745718,0.00081889785,0.004175319,0.0034690187,0.0025732315,0.011763183],"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":[0.0006731188,0.00043055328,0.01187758,0.00071165926,0.00032818862,0.00018105467,0.00048700592,0.25651124,0.015822254,0.0432403,0.060576852,0.60916024],"study_design_scores_gemma":[0.0001556506,0.00038702364,0.008080159,0.0002492547,0.0001409091,0.000371616,0.00034385407,0.7573713,0.030771509,0.035687443,0.16619386,0.00024737278],"about_ca_topic_score_codex":0.004549641,"about_ca_topic_score_gemma":0.0032572001,"teacher_disagreement_score":0.037681665,"about_ca_system_score_codex":0.0012442903,"about_ca_system_score_gemma":0.0018938612,"threshold_uncertainty_score":0.12605774},"labels":[],"label_agreement":null},{"id":"W4251001282","doi":"10.14796/jwmm.r246-08","title":"Micromonitoring","year":2013,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Urban Stormwater Management Solutions","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science","score_opus":0.013626829872478373,"score_gpt":0.19946620359475115,"score_spread":0.18583937372227277,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4251001282","genre_codex":"empirical","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":[0.4178323,0.011136334,0.33584034,0.0048063877,0.00092331064,0.0026256158,0.036599576,0.0036995225,0.18653664],"genre_scores_gemma":[0.75603634,0.010394017,0.14676863,0.0024353568,0.00017802545,0.00068848906,0.007794539,0.00032983307,0.075374775],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.99926883,0.00011085522,0.000043452197,0.0002307717,0.00030499423,0.000041131163],"domain_scores_gemma":[0.9996132,0.000049289538,0.000063324514,0.000053188578,0.00019843009,0.000022683123],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009024527,0.0005173018,0.00036972688,0.0009779363,0.0009563704,0.0010791693,0.000554207,0.0006283266,0.0039265165],"category_scores_gemma":[0.00067095447,0.0001996602,0.00049990584,0.001040308,0.00030125157,0.0007755817,0.0006350442,0.0006320125,0.0014037311],"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":[0.00026805274,0.00020518905,0.076562196,0.0011520709,0.00015084798,0.00039845236,0.00045332083,0.00814107,0.51960737,0.0070500253,0.018946433,0.367065],"study_design_scores_gemma":[0.00004098155,0.00081813056,0.11121099,0.0002449202,0.0002314874,0.00077760615,0.0008966492,0.013845728,0.5169722,0.009155203,0.34570634,0.00009989275],"about_ca_topic_score_codex":0.01344326,"about_ca_topic_score_gemma":0.035538506,"teacher_disagreement_score":0.01344326,"about_ca_system_score_codex":0.00097205484,"about_ca_system_score_gemma":0.0010474405,"threshold_uncertainty_score":0.026730001},"labels":[],"label_agreement":null},{"id":"W4285017773","doi":"10.14796/jwmm.c490","title":"The Effectiveness of Centralized versus Decentralized Green Infrastructure in Improving Water Quality and Reducing Flooding at the Catchment Scale","year":2022,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Urban Stormwater Management Solutions","field":"Environmental Science","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"New York State Water Resources Institute, Cornell University; New York State Department of Environmental Conservation","keywords":"Environmental science; Impervious surface; Surface runoff; Water quality; Flood myth; Flooding (psychology); Stormwater; Flood mitigation; Wetland; Green infrastructure; Hydrology (agriculture); Environmental engineering; Infiltration (HVAC); Drainage basin; Water resource management; Environmental resource management; Engineering; Ecology; Geography","score_opus":0.016283787487733677,"score_gpt":0.2454296464850988,"score_spread":0.22914585899736511,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4285017773","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":[0.98751384,0.0001016414,0.0063329265,0.00013611284,0.000007909219,0.00007712269,0.000086453,0.000059550573,0.005684367],"genre_scores_gemma":[0.997528,0.000057407342,0.0019871069,0.000012514421,0.0000023235878,0.000013645951,0.000024549854,0.000003849436,0.00037053393],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994734,0.00019836638,0.000016959837,0.00008781108,0.00011306996,0.00011048567],"domain_scores_gemma":[0.9990422,0.0005001894,0.00016919791,0.00007371576,0.00012933386,0.00008530879],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00089121936,0.00024928196,0.00040350558,0.00035260365,0.00028211018,0.00079347653,0.00045570236,0.00044904143,0.0013644944],"category_scores_gemma":[0.0020883558,0.00014245781,0.00030943946,0.0004794855,0.0004893988,0.0011417466,0.00056829717,0.00029641655,0.00007605133],"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":[0.0008067963,0.0010796859,0.04565237,0.00022621818,0.00013992834,0.00009429719,0.00012684113,0.86098915,0.02031087,0.0033672727,0.0007198976,0.066486664],"study_design_scores_gemma":[0.00023072102,0.0036745942,0.070349455,0.000035328536,0.00016723572,0.000040085273,0.0005940544,0.9117953,0.009036161,0.0026388513,0.0013898795,0.000048368398],"about_ca_topic_score_codex":0.015723636,"about_ca_topic_score_gemma":0.033931375,"teacher_disagreement_score":0.015723636,"about_ca_system_score_codex":0.0011773759,"about_ca_system_score_gemma":0.0012930828,"threshold_uncertainty_score":0.031264246},"labels":[],"label_agreement":null},{"id":"W4285124122","doi":"10.14796/jwmm.c489","title":"A Novel Statistical Modeling Approach to Developing IDF Relations in the Context of Climate Change","year":2022,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Climate variability and models","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Climate change; Climatology; Robustness (evolution); Storm; Context (archaeology); Downscaling; Climate model; Environmental science; Meteorology; Computer science; Geography; Geology","score_opus":0.08546168495639324,"score_gpt":0.26976031462103445,"score_spread":0.18429862966464122,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4285124122","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":[0.0044006337,0.00010582904,0.99378246,0.00019923327,0.00003640268,0.000021541748,0.00018151228,0.00014098707,0.001131453],"genre_scores_gemma":[0.5716356,0.0015619532,0.41679955,0.00052871497,0.00077235774,0.00073870126,0.0012413599,0.00037446982,0.0063474],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986327,0.0006040097,0.00008551823,0.00030215565,0.0002720956,0.000103411556],"domain_scores_gemma":[0.9947778,0.0036865214,0.0006305045,0.00033277355,0.00048465573,0.000087696266],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0034137813,0.0010357556,0.0009613627,0.0020759474,0.00056878186,0.0013249959,0.0018991106,0.0011202908,0.0018867509],"category_scores_gemma":[0.009247475,0.00060324924,0.0017288111,0.002012218,0.00079103914,0.0016964136,0.0013558484,0.0017298927,0.00041048662],"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":[0.000008897278,0.000034897665,0.002586218,0.00003653618,0.00007308055,0.000105989384,0.00006447012,0.8923466,0.0007579218,0.08788656,0.0008258761,0.015273041],"study_design_scores_gemma":[0.0000011048867,0.000008071757,0.00025026943,0.0000034392233,0.0000073993374,0.000017110267,0.0000070627793,0.983652,0.00007046791,0.015309597,0.0006667684,0.000006740392],"about_ca_topic_score_codex":0.012992314,"about_ca_topic_score_gemma":0.011782977,"teacher_disagreement_score":0.012992314,"about_ca_system_score_codex":0.0012835829,"about_ca_system_score_gemma":0.0019090315,"threshold_uncertainty_score":0.025833368},"labels":[],"label_agreement":null},{"id":"W4285196146","doi":"10.14796/jwmm.c488","title":"Assessment of and Solutions to the Stormwater Management System of Auburn University Campus in Auburn, Alabama","year":2022,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Urban Stormwater Management Solutions","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Auburn University","keywords":"Bioretention; Stormwater; Surface runoff; Environmental science; Swale; Stormwater management; Flooding (psychology); Low-impact development; Environmental engineering; Hydrology (agriculture); Water resource management; Civil engineering; Engineering; Geotechnical engineering","score_opus":0.015023210549602779,"score_gpt":0.20962758054150682,"score_spread":0.19460436999190403,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4285196146","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":[0.973218,0.00021568629,0.0054220348,0.001222881,0.000015020776,0.0001686838,0.00035302888,0.00019764098,0.019187016],"genre_scores_gemma":[0.9843684,0.00032383206,0.008582427,0.000052914722,0.000001901573,0.000038404898,0.00023981968,0.000013096664,0.0063793114],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99964345,0.00010471766,0.000016321404,0.000050547827,0.000115072275,0.00006987712],"domain_scores_gemma":[0.9994579,0.00008260957,0.000051235565,0.00002567434,0.0003025533,0.00008003191],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00054071075,0.0001897603,0.00011993183,0.0004984955,0.0013228952,0.0014537264,0.00050361635,0.0004814225,0.002631575],"category_scores_gemma":[0.0015197955,0.00017617896,0.0001715681,0.00065213005,0.0002760589,0.0008813185,0.0006138901,0.00039214082,0.0002633066],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003626701,0.0010843631,0.42513347,0.00070255104,0.00013931001,0.0015113273,0.009008283,0.14346951,0.02631139,0.015199065,0.018396966,0.3586809],"study_design_scores_gemma":[0.000044739387,0.001100824,0.36590856,0.00030420357,0.00014863214,0.00021066432,0.08428903,0.4268737,0.021629134,0.0037975763,0.09559194,0.000101003454],"about_ca_topic_score_codex":0.31329033,"about_ca_topic_score_gemma":0.5123899,"teacher_disagreement_score":0.31329033,"about_ca_system_score_codex":0.0056625498,"about_ca_system_score_gemma":0.0076402933,"threshold_uncertainty_score":0.6229335},"labels":[],"label_agreement":null},{"id":"W4285268132","doi":"10.14796/jwmm.c487","title":"Regionalization of Low Flow Analysis in Data Scarce Region: The Case of the Lake Abaya-Chamo Sub-basin, Rift Valley Lakes Basin, Ethiopia","year":2022,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Baseflow; Structural basin; Hydrogeology; Quantile; Hydrology (agriculture); Linear regression; Environmental science; Mean squared error; Regression analysis; Statistics; Drainage basin; Geology; Geography; Streamflow; Mathematics; Cartography; Geomorphology","score_opus":0.02505913542758335,"score_gpt":0.23327928554956953,"score_spread":0.2082201501219862,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4285268132","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":[0.9899939,0.00015527624,0.008671875,0.000041192714,0.0000029841497,0.000021145952,0.00019723517,0.000054891127,0.0008616855],"genre_scores_gemma":[0.99474925,0.000060691047,0.004830174,0.0000037278496,0.0000024703695,0.000010237191,0.00016487314,0.0000063610373,0.00017223574],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99964035,0.00012234924,0.000024759021,0.00010658938,0.000052731968,0.000053146614],"domain_scores_gemma":[0.9994407,0.00021900832,0.00011960859,0.00006673462,0.000119689714,0.00003421321],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012203169,0.00037092352,0.00029262167,0.0014879254,0.00028049297,0.00094046304,0.0003191476,0.000239028,0.00038985093],"category_scores_gemma":[0.0022735482,0.00013189978,0.00035759207,0.0012487206,0.00029712956,0.0004934533,0.0004535978,0.00020485703,0.00006852656],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002098916,0.00009894195,0.7835849,0.00014567816,0.00018952474,0.000984394,0.0014262146,0.112793475,0.013830618,0.0016595442,0.00029305412,0.084783755],"study_design_scores_gemma":[0.000013331913,0.00008549134,0.7685308,0.00004210172,0.000106534375,0.0002764976,0.00203046,0.21933083,0.006551265,0.0010962778,0.0018916358,0.00004482774],"about_ca_topic_score_codex":0.02518908,"about_ca_topic_score_gemma":0.029577458,"teacher_disagreement_score":0.02518908,"about_ca_system_score_codex":0.0006706464,"about_ca_system_score_gemma":0.0007215566,"threshold_uncertainty_score":0.05008489},"labels":[],"label_agreement":null},{"id":"W4312531758","doi":"10.14796/jwmm.c494","title":"An Application of Computational Fluid Dynamics to the Hydraulic Analysis of a Water Intake Tower","year":2022,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Hydraulic flow and structures","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computational fluid dynamics; Tower; Hydraulic head; Head (geology); Current (fluid); Marine engineering; Fluid dynamics; Water flow; Upstream (networking); Flow (mathematics); Stage (stratigraphy); Volumetric flow rate; Engineering; Computer science; Petroleum engineering; Environmental science; Geotechnical engineering; Mechanics; Civil engineering; Geology; Aerospace engineering","score_opus":0.006496650160983778,"score_gpt":0.21357844251798472,"score_spread":0.20708179235700094,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4312531758","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":[0.21847002,0.00024076656,0.76318157,0.00069715106,0.00009765289,0.00016732693,0.0003417844,0.00065613684,0.016147615],"genre_scores_gemma":[0.86381876,0.0002891255,0.13255951,0.000052711843,0.000018575045,0.00013688773,0.00013375205,0.00006304109,0.0029277268],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999861,0.000033002234,0.000007008672,0.00001587099,0.000066943874,0.000016029062],"domain_scores_gemma":[0.99964345,0.00020175062,0.000024748522,0.00002985925,0.000082880295,0.000017325201],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031856244,0.0004969879,0.0005462379,0.0005332472,0.0008834713,0.00082516554,0.0005533675,0.0010428126,0.0013570556],"category_scores_gemma":[0.0012897827,0.00035147078,0.0006340176,0.00043192043,0.0007229187,0.00050970446,0.0006252561,0.00064180227,0.00016091671],"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":[0.000019348738,0.000023571485,0.0010206181,0.000026481921,0.000008583035,0.0000916844,0.000059103277,0.981666,0.00419735,0.0046914755,0.0002212121,0.0079745],"study_design_scores_gemma":[0.000004332134,0.00001117541,0.00016869965,0.0000049654373,0.0000017107575,0.000015819318,0.000014501832,0.99709535,0.0010095955,0.0010180423,0.00065039174,0.000005382648],"about_ca_topic_score_codex":0.0155794425,"about_ca_topic_score_gemma":0.00788899,"teacher_disagreement_score":0.0155794425,"about_ca_system_score_codex":0.0006690223,"about_ca_system_score_gemma":0.0016869772,"threshold_uncertainty_score":0.030977488},"labels":[],"label_agreement":null},{"id":"W4312573387","doi":"10.14796/jwmm.c491","title":"Assessing Water Quality Status Using a Mathematical Simulation Model of El Abid River (Morocco)","year":2022,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Water quality; Sampling (signal processing); Environmental science; Calibration; Quality (philosophy); Pollution; Pollutant; Environmental engineering; Water balance; Hydrology (agriculture); Statistics; Mathematics; Computer science; Applied mathematics; Engineering; Chemistry; Ecology; Geotechnical engineering","score_opus":0.07630427179756356,"score_gpt":0.3284387304778412,"score_spread":0.2521344586802777,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4312573387","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":[0.9675216,0.00017198936,0.020708088,0.0003821552,0.00003107888,0.00007192354,0.0011041336,0.00016397948,0.009845096],"genre_scores_gemma":[0.9951938,0.0000770869,0.0024557381,0.000019627889,0.0000051120833,0.0000652888,0.00023014292,0.000007152565,0.001946033],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99989414,0.000034711637,0.00000678715,0.000025396885,0.000012476934,0.000026442905],"domain_scores_gemma":[0.9997254,0.000138207,0.000041986226,0.0000114495,0.0000632195,0.000019815156],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024238993,0.0004698336,0.0003857586,0.00043064207,0.00059658516,0.0008542121,0.0006562965,0.0009908029,0.0019831783],"category_scores_gemma":[0.0006779187,0.00019288626,0.0005540108,0.00035084994,0.00037298742,0.00027379786,0.0004970403,0.00034299312,0.00012255965],"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":[0.000023689881,0.000023196832,0.003418459,0.000013327516,0.0000097889215,0.00008413094,0.000026216658,0.9942608,0.0005744686,0.0006098288,0.00008658096,0.00086941343],"study_design_scores_gemma":[0.0000076004862,0.00001800091,0.0010324217,0.0000035257167,0.0000071298705,0.000007218237,0.000027637918,0.9984333,0.00015416885,0.00012601171,0.00017843301,0.00000440868],"about_ca_topic_score_codex":0.108133204,"about_ca_topic_score_gemma":0.04951865,"teacher_disagreement_score":0.108133204,"about_ca_system_score_codex":0.0017560215,"about_ca_system_score_gemma":0.0012544015,"threshold_uncertainty_score":0.2150076},"labels":[],"label_agreement":null},{"id":"W4312791098","doi":"10.14796/jwmm.c493","title":"A Width Parameter Estimation Through Equivalent Rectangle Methodology for Hydraulic Modeling Applications","year":2022,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Leibniz-Gemeinschaft; Consejo Nacional de Rectores; Deutscher Akademischer Austauschdienst","keywords":"Rectangle; Estimation theory; Structural basin; Mathematics; Algorithm; Geology; Geometry","score_opus":0.08368525690460397,"score_gpt":0.3063516504525571,"score_spread":0.2226663935479531,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4312791098","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":[0.0032703103,0.000054841923,0.9957125,0.000019462024,0.0000068434724,0.000024646313,0.00003669234,0.0002795651,0.00059510506],"genre_scores_gemma":[0.19667414,0.00033008103,0.80090314,0.000058752776,0.00003449493,0.00028471363,0.00031697692,0.00030087816,0.0010968505],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992219,0.00030237169,0.000058242415,0.00018987393,0.0001761629,0.000051391693],"domain_scores_gemma":[0.99869967,0.0006196222,0.00022150038,0.00019509628,0.00023451462,0.000029598856],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018410778,0.00086689787,0.00063452084,0.0013034069,0.00044341284,0.0010913439,0.0011256766,0.0008541795,0.0025629934],"category_scores_gemma":[0.004900506,0.00045509418,0.0010024183,0.0011805244,0.0005051791,0.0016667935,0.0010730728,0.0010754295,0.0005771943],"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":[0.00009731743,0.00010902091,0.0033199075,0.00023018905,0.000098103155,0.00022308432,0.00023587242,0.70925987,0.023874415,0.05048001,0.001886363,0.21018584],"study_design_scores_gemma":[0.000005790472,0.00003272305,0.0003542796,0.0000143689995,0.000012354914,0.000045816083,0.000024424528,0.9892492,0.003349385,0.0044550733,0.0024400176,0.000016548984],"about_ca_topic_score_codex":0.00315034,"about_ca_topic_score_gemma":0.0018454549,"teacher_disagreement_score":0.00315034,"about_ca_system_score_codex":0.00038205527,"about_ca_system_score_gemma":0.00089594984,"threshold_uncertainty_score":0.009736717},"labels":[],"label_agreement":null},{"id":"W4313050355","doi":"10.14796/jwmm.c492","title":"Monitoring of Pressure Transients in Great Lakes Water Authority Water Transmission System","year":2022,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Water Systems and Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Transient (computer programming); Environmental science; Impact pressure; Pressure sensor; Transmission (telecommunications); Pressure measurement; Water level; Hydrology (agriculture); Meteorology; Engineering; Computer science; Geotechnical engineering; Telecommunications; Geography; Mechanical engineering","score_opus":0.01380977688724961,"score_gpt":0.1984203848145807,"score_spread":0.1846106079273311,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4313050355","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":[0.99195564,0.000049961393,0.0056788935,0.00006521634,0.000005540677,0.00003470739,0.00052771834,0.000450208,0.0012320704],"genre_scores_gemma":[0.99829847,0.000024629366,0.0011985246,0.000006400747,0.0000023673126,0.000010429496,0.00025047027,0.000007135356,0.00020157028],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995963,0.00006941958,0.000020797925,0.00007543304,0.00021108318,0.000027011432],"domain_scores_gemma":[0.9991897,0.0003137908,0.00015698349,0.00004359336,0.0002505311,0.00004542201],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037879474,0.00023823918,0.0002101971,0.00082069775,0.00030647058,0.0004238676,0.00037027043,0.00035613275,0.0006740893],"category_scores_gemma":[0.0015458305,0.00013075434,0.00012648519,0.0008842629,0.0002451922,0.00060590706,0.0002695172,0.00036640107,0.00012231283],"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":[0.0015067339,0.00078167464,0.4345115,0.0003794013,0.00022526341,0.0023351568,0.0019577525,0.17256598,0.2254511,0.00086800824,0.0061165616,0.15330087],"study_design_scores_gemma":[0.00005949303,0.0010486693,0.46799907,0.000020284151,0.00005812624,0.00045663898,0.0005515395,0.48500204,0.043106176,0.00030495846,0.0013237561,0.00006925212],"about_ca_topic_score_codex":0.011496277,"about_ca_topic_score_gemma":0.008472416,"teacher_disagreement_score":0.9885037,"about_ca_system_score_codex":0.0004770849,"about_ca_system_score_gemma":0.0003405665,"threshold_uncertainty_score":0.022858739},"labels":[],"label_agreement":null},{"id":"W4315784672","doi":"10.14796/jwmm.c495","title":"Model-based Analysis of Nitrogen Dynamics in the Tigris River in Baghdad City","year":2023,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Constructed Wetlands for Wastewater Treatment","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Nitrate; Nitrite; Nitrogen; Environmental science; Oxygen; Environmental engineering; Water quality; Hydrology (agriculture); Chemistry; Environmental chemistry; Ecology; Engineering; Biology","score_opus":0.017874263547211285,"score_gpt":0.22925139169454134,"score_spread":0.21137712814733006,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4315784672","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":[0.9956195,0.00007291042,0.0013987584,0.00007994953,0.000013640926,0.00002146846,0.00062692486,0.00014197807,0.0020248832],"genre_scores_gemma":[0.99667007,0.00006977599,0.0017337267,0.00001432913,0.000003792329,0.000030890325,0.0007587646,0.000012614855,0.00070609903],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999833,0.000029247134,0.000010608118,0.00006168232,0.000026233969,0.00003919765],"domain_scores_gemma":[0.9998555,0.000058699363,0.00001839981,0.000015827825,0.000037684997,0.00001389663],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036078485,0.0007736075,0.00081209996,0.00065737666,0.0007477436,0.001193385,0.0012033427,0.0014337179,0.0010532476],"category_scores_gemma":[0.00036880316,0.00039130414,0.0011550627,0.0007606775,0.00049692113,0.00048018966,0.00048391867,0.000658086,0.00016026868],"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":[0.00007352673,0.00014343568,0.02084,0.00004857378,0.0000585543,0.00017094695,0.00006196421,0.9730127,0.0016400603,0.00033078162,0.00034332613,0.0032761395],"study_design_scores_gemma":[0.000026043836,0.00004479654,0.013402978,0.0000052909695,0.000026305786,0.000014874893,0.00010055593,0.98536575,0.000572665,0.00010280418,0.0003202043,0.000017675931],"about_ca_topic_score_codex":0.3123466,"about_ca_topic_score_gemma":0.24569143,"teacher_disagreement_score":0.3123466,"about_ca_system_score_codex":0.0038959808,"about_ca_system_score_gemma":0.0025075949,"threshold_uncertainty_score":0.6210571},"labels":[],"label_agreement":null},{"id":"W4319933714","doi":"10.14796/jwmm.c496","title":"Drivers of Model Uncertainty for Urban Runoff in a Tropical Climate: The Effect of Rainfall Variability and Subcatchment Parameterization","year":2023,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Flood Risk Assessment and Management","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Research Foundation Singapore; National Research Foundation; Agência Nacional de Águas","keywords":"Environmental science; Impervious surface; Surface runoff; Hydrology (agriculture); Storm; Drainage basin; Runoff curve number; Climatology; Geography; Meteorology; Ecology; Cartography; Geology","score_opus":0.010768896279445002,"score_gpt":0.24684172804394533,"score_spread":0.23607283176450033,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4319933714","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":[0.9942796,0.00010404061,0.0042346693,0.00021936621,0.000005393277,0.000022691023,0.0003811299,0.00007163363,0.0006814173],"genre_scores_gemma":[0.99891305,0.000031735774,0.00071631797,0.00001573156,0.0000023991279,0.000009097837,0.00024173634,0.000012870375,0.000057117853],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990839,0.00041152094,0.00007062101,0.00020581829,0.00011620274,0.0001119132],"domain_scores_gemma":[0.99148774,0.006548104,0.0006745408,0.00055275165,0.0005657815,0.00017104334],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005386639,0.0006324538,0.0005594333,0.00068426196,0.00052644673,0.0011527466,0.000838923,0.0006966415,0.00069911993],"category_scores_gemma":[0.012569801,0.00039187833,0.0011962132,0.00088679086,0.00051567424,0.0010275127,0.0010186543,0.0009656997,0.000075819975],"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":[0.0001291277,0.00006362841,0.15212871,0.00003385641,0.00016062464,0.00012237592,0.000120904995,0.84117943,0.0013871433,0.00057145936,0.00025147246,0.0038512512],"study_design_scores_gemma":[0.000020836382,0.00006709761,0.08557288,0.00001966102,0.00006651542,0.000066830034,0.0002528039,0.91094774,0.0013152173,0.0012109904,0.00041999688,0.000039405848],"about_ca_topic_score_codex":0.030484749,"about_ca_topic_score_gemma":0.01689377,"teacher_disagreement_score":0.030484749,"about_ca_system_score_codex":0.001135139,"about_ca_system_score_gemma":0.0010196883,"threshold_uncertainty_score":0.060614586},"labels":[],"label_agreement":null},{"id":"W4320009723","doi":"10.14796/jwmm.c497","title":"Modeling the Rainfall–Runoff Relationship with TOPMODEL in the Wadi El Kebir Watershed","year":2023,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Wadi; Surface runoff; Hydrology (agriculture); Watershed; Environmental science; Digital elevation model; Structural basin; Calibration; Aquifer; Drainage basin; Groundwater; Geology; Remote sensing; Geography; Geomorphology; Mathematics; Cartography; Statistics","score_opus":0.030046086131880635,"score_gpt":0.23892377183247926,"score_spread":0.20887768570059861,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4320009723","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":[0.9893435,0.000053690135,0.008290272,0.000063492604,0.000009098083,0.00003168171,0.00076351914,0.00043708194,0.0010076443],"genre_scores_gemma":[0.99354035,0.00006442359,0.005195883,0.000014714656,0.0000038529024,0.000044704444,0.000591414,0.000028942439,0.0005156471],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998847,0.000024596193,0.000009039853,0.000035891568,0.000017271668,0.00002842936],"domain_scores_gemma":[0.999757,0.00011178564,0.000032554814,0.000016459882,0.000061739185,0.000020512727],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031149838,0.0005334342,0.0005455259,0.0004783572,0.00030857715,0.0009414249,0.00081685954,0.000716486,0.0008776506],"category_scores_gemma":[0.00058255566,0.00033225946,0.0006403042,0.00054248946,0.00021061601,0.00062341115,0.00041544426,0.00036862216,0.00015823996],"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":[0.00007082806,0.00009983805,0.019772513,0.00003464505,0.000049482653,0.00011672718,0.000055479653,0.9704168,0.0020174026,0.0002443506,0.00025900343,0.0068628946],"study_design_scores_gemma":[0.000007408532,0.00001536078,0.003185588,0.0000021498834,0.00001128893,0.000010129817,0.00002164276,0.9961028,0.00044106095,0.000066555134,0.00012947149,0.0000065548757],"about_ca_topic_score_codex":0.07964184,"about_ca_topic_score_gemma":0.049424753,"teacher_disagreement_score":0.07964184,"about_ca_system_score_codex":0.0014471449,"about_ca_system_score_gemma":0.0011401317,"threshold_uncertainty_score":0.15835655},"labels":[],"label_agreement":null},{"id":"W4360762373","doi":"10.14796/jwmm.c498","title":"Bioretention Model for Urban Runoff Treatment in a Tropical Climate: A Case Study at the Universiti Sains Malaysia","year":2023,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Urban Stormwater Management Solutions","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Bioretention; Stormwater; Environmental science; Surface runoff; Pollutant; Low-impact development; Environmental engineering; Hydrology (agriculture); Stormwater management; Engineering; Geotechnical engineering","score_opus":0.03826778363098581,"score_gpt":0.25477253991499227,"score_spread":0.21650475628400645,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4360762373","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":[0.97967464,0.000105181934,0.013140435,0.000253789,0.000021919068,0.00013458954,0.0007168019,0.0003338713,0.0056187357],"genre_scores_gemma":[0.9885189,0.00012847425,0.007549194,0.000027322041,0.000004673332,0.00011178632,0.00049494376,0.000030958567,0.0031336963],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998234,0.00005233912,0.0000126080995,0.00003581182,0.00003521995,0.00004075063],"domain_scores_gemma":[0.9995511,0.00022349508,0.000039806622,0.000029852365,0.000116718664,0.00003893241],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00050515553,0.0007046923,0.0005231458,0.0003149528,0.000599379,0.0007795904,0.0008273311,0.0010287762,0.0019063015],"category_scores_gemma":[0.00061215775,0.00028240646,0.0007477981,0.00045186552,0.00036366688,0.0004099792,0.00049227034,0.00074143667,0.00020201056],"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":[0.00008667325,0.00016778879,0.0063801007,0.00005719701,0.000014270984,0.0002112693,0.00006533343,0.98529273,0.0022433742,0.00045960513,0.00041933695,0.0046022357],"study_design_scores_gemma":[0.000024538469,0.00009776366,0.002102546,0.000008399778,0.0000122509655,0.000020700187,0.00010868716,0.9940556,0.0027305116,0.00022583886,0.0006015163,0.000011646933],"about_ca_topic_score_codex":0.04542662,"about_ca_topic_score_gemma":0.034683254,"teacher_disagreement_score":0.04542662,"about_ca_system_score_codex":0.0014525765,"about_ca_system_score_gemma":0.0016718737,"threshold_uncertainty_score":0.0903244},"labels":[],"label_agreement":null},{"id":"W4379468994","doi":"10.14796/jwmm.c499","title":"Investigating the Accuracy of Hybrid Models with Wavelet Transform in the Forecast of Watershed Runoff","year":2023,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Hydrological Forecasting Using AI","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Wavelet; Wavelet transform; Watershed; Discrete wavelet transform; Computer science; Surface runoff; Complex wavelet transform; Scale (ratio); Artificial intelligence; Environmental science; Machine learning; Geography","score_opus":0.044262217843647256,"score_gpt":0.23768600605312876,"score_spread":0.1934237882094815,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4379468994","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":[0.9625426,0.00015425585,0.035278454,0.00013455524,0.00002005922,0.000013634268,0.00008607742,0.00011690363,0.0016533313],"genre_scores_gemma":[0.99558496,0.00005214986,0.0041028922,0.000006777185,0.000004276894,0.0000061067385,0.000056426125,0.0000056958806,0.0001806313],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996786,0.0001266162,0.000025640293,0.000059212492,0.00006636818,0.000043596974],"domain_scores_gemma":[0.99894804,0.00071147614,0.000100861056,0.00006177259,0.00014671475,0.000031202682],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016433015,0.00044351368,0.00036154545,0.0006368564,0.00017617946,0.00089794834,0.0005440035,0.0004968286,0.00043126897],"category_scores_gemma":[0.0032063825,0.00023367663,0.00048171007,0.0005650788,0.00021045862,0.0011282467,0.00050348265,0.00045182608,0.000080672384],"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":[0.00023829754,0.000087159846,0.019089416,0.000029004044,0.00011082003,0.00004471291,0.000054464173,0.9519136,0.002280181,0.0007933406,0.00014613339,0.025212927],"study_design_scores_gemma":[0.0000033030797,0.000026664253,0.00089003076,0.0000015502942,0.000006529797,0.000002722315,0.000010238188,0.9985971,0.00034061878,0.00008739429,0.000031192347,0.000002646085],"about_ca_topic_score_codex":0.013000425,"about_ca_topic_score_gemma":0.007243369,"teacher_disagreement_score":0.013000425,"about_ca_system_score_codex":0.0005926289,"about_ca_system_score_gemma":0.00043214468,"threshold_uncertainty_score":0.025849521},"labels":[],"label_agreement":null},{"id":"W4379740932","doi":"10.14796/jwmm.c500","title":"Rainfall-flow Modeling Using a Global Conceptual Model: Case of the Beni Bahdel Watershed (Northwest of Algeria)","year":2023,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Watershed; Hydrology (agriculture); Environmental science; Precipitation; Evapotranspiration; Flood myth; Water resource management; Computer science; Meteorology; Geology; Geography","score_opus":0.03332096497633147,"score_gpt":0.25370724579456955,"score_spread":0.22038628081823808,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4379740932","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":[0.9816487,0.00016398352,0.009711769,0.0005990379,0.000019494679,0.000052041865,0.0008603721,0.00013526971,0.006809366],"genre_scores_gemma":[0.99535084,0.0001122717,0.0033020417,0.000022444685,0.0000055922224,0.000032169726,0.0001990465,0.000011046949,0.000964531],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999848,0.000067403664,0.000007642175,0.0000328508,0.000014771826,0.000029286984],"domain_scores_gemma":[0.999744,0.000120442935,0.0000285673,0.00001832479,0.000060758623,0.000027838263],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004249156,0.00049124286,0.00041226856,0.00051810563,0.00059920823,0.0013608568,0.0009115695,0.001371174,0.0017522166],"category_scores_gemma":[0.0007321879,0.00022215354,0.00052993186,0.00083664537,0.0006105074,0.0006249299,0.00063719455,0.0004624715,0.00010060534],"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":[0.000059455862,0.000083945975,0.009506639,0.00003098209,0.000019473226,0.00036019442,0.00010518155,0.98290145,0.00055179506,0.0028395131,0.00029491747,0.0032464666],"study_design_scores_gemma":[0.000020998506,0.000022548356,0.0030766036,0.0000065172107,0.000012195288,0.00001988112,0.00015520547,0.99550205,0.00020554913,0.000541756,0.00042726038,0.0000093921435],"about_ca_topic_score_codex":0.19241932,"about_ca_topic_score_gemma":0.10126947,"teacher_disagreement_score":0.19241932,"about_ca_system_score_codex":0.0024510964,"about_ca_system_score_gemma":0.0013019831,"threshold_uncertainty_score":0.38259864},"labels":[],"label_agreement":null},{"id":"W4380088563","doi":"10.14796/jwmm.c501","title":"Numerical Simulation of Flood Propagation in the Kelara River Flood Early Warning System","year":2023,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Multimedia Learning Systems","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Universitas Hasanuddin","keywords":"Flood myth; 100-year flood; Warning system; Flood warning; Hydrology (agriculture); Flood forecasting; Environmental science; Flood stage; Return period; HEC-HMS; Floodplain; Geography; Geology; Computer science; Cartography; Archaeology; Geotechnical engineering; Telecommunications","score_opus":0.025736107820905192,"score_gpt":0.2507810880378154,"score_spread":0.22504498021691022,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4380088563","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":[0.97343636,0.00016331086,0.0152642,0.00045219905,0.000083072526,0.00006601263,0.00066323,0.00020763249,0.009664068],"genre_scores_gemma":[0.99440247,0.000072213756,0.003850906,0.000028326356,0.0000058421188,0.000042247666,0.00022175326,0.00001225566,0.0013640954],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99984217,0.000044934655,0.0000126322875,0.000019363053,0.000029553694,0.00005131503],"domain_scores_gemma":[0.9992181,0.00049556926,0.00007139821,0.000023418803,0.00012605269,0.00006555106],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036586318,0.0003826399,0.0005182555,0.0004677581,0.000558629,0.00074392435,0.00051542284,0.0010533986,0.0023673917],"category_scores_gemma":[0.0014747895,0.00025670204,0.0005470797,0.0004690201,0.0004754893,0.00045606063,0.00077837746,0.0007977103,0.00012922123],"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":[0.00006130655,0.000045374698,0.0040789023,0.000021861459,0.0000118617045,0.00012663905,0.00005633874,0.99254555,0.00068382866,0.0007208656,0.00024107574,0.0014063854],"study_design_scores_gemma":[0.0000119012275,0.000022067554,0.0008587172,0.000003396653,0.000004420853,0.0000071429804,0.00005122656,0.9985459,0.00021077413,0.00014828255,0.00013062361,0.00000559755],"about_ca_topic_score_codex":0.030530479,"about_ca_topic_score_gemma":0.01412839,"teacher_disagreement_score":0.030530479,"about_ca_system_score_codex":0.00070691644,"about_ca_system_score_gemma":0.0008409991,"threshold_uncertainty_score":0.060705543},"labels":[],"label_agreement":null},{"id":"W4384652500","doi":"10.14796/jwmm.c502","title":"A New Two-dimensional Dual-permeability Model of Preferential Water Flow in the Vadose Zone","year":2023,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Groundwater flow and contamination studies","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Richards equation; Vadose zone; Diffusion equation; Flow (mathematics); Water flow; Mechanics; Instability; Matrix (chemical analysis); Mathematics; Permeability (electromagnetism); Geotechnical engineering; Geology; Materials science; Physics; Chemistry; Water content; Groundwater; Engineering","score_opus":0.030568711560803995,"score_gpt":0.24053767943035487,"score_spread":0.20996896786955088,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4384652500","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":[0.55469394,0.00061178976,0.42397594,0.0006381057,0.00015571348,0.00028775918,0.0029284093,0.0008422754,0.015866017],"genre_scores_gemma":[0.9608615,0.00031418927,0.029622445,0.00007180594,0.000021384742,0.00028529335,0.0007232748,0.00003806858,0.008062044],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999838,0.000042186915,0.00001152874,0.00004072151,0.000033173135,0.000034370016],"domain_scores_gemma":[0.9997938,0.00008921977,0.00003019563,0.000012026029,0.000046682482,0.000028120872],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026250049,0.0006272541,0.0008232026,0.0006344776,0.0005221693,0.0010940112,0.0016620678,0.0013867967,0.0017240118],"category_scores_gemma":[0.0006369362,0.00046672102,0.00077081344,0.0006221602,0.00050750107,0.0007356959,0.0009738471,0.00067707745,0.00015501931],"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":[0.000034661993,0.000021980015,0.0007258786,0.0000151715985,0.000009270861,0.00005287793,0.000016363441,0.994672,0.0015631187,0.0014649095,0.00011620343,0.0013075244],"study_design_scores_gemma":[0.000010089899,0.000010011044,0.00013841545,0.0000015289941,0.0000029024452,0.00000820418,0.0000037973405,0.99901557,0.0002506497,0.00028395158,0.00027116356,0.000003656728],"about_ca_topic_score_codex":0.016474333,"about_ca_topic_score_gemma":0.007716858,"teacher_disagreement_score":0.016474333,"about_ca_system_score_codex":0.0010096816,"about_ca_system_score_gemma":0.0010710072,"threshold_uncertainty_score":0.032756865},"labels":[],"label_agreement":null},{"id":"W4385569549","doi":"10.14796/jwmm.c503","title":"Spatial and Temporal Analysis of Nitrate Dynamics along the Tigris River","year":2023,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Soil and Water Nutrient Dynamics","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Environmental science; Hydrology (agriculture); Nitrate; Water quality; Irrigation; Dilution; Spatial distribution; Spatial variability; Ecology; Geography; Geology","score_opus":0.012344554872022066,"score_gpt":0.21226982746526488,"score_spread":0.1999252725932428,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385569549","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":[0.9992149,0.000017832617,0.00019635,0.000011597512,0.0000013938298,0.000002417001,0.00015095377,0.000013710819,0.00039081046],"genre_scores_gemma":[0.9992235,0.000026873167,0.00029272895,0.0000029344696,0.0000011440112,0.000005262808,0.00027756466,0.0000013390468,0.00016859247],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9999473,0.0000063676353,0.0000029374748,0.000020169005,0.000009626807,0.000013541526],"domain_scores_gemma":[0.99994206,0.00001282506,0.000016594171,0.000005587678,0.000014482708,0.0000084813755],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011541628,0.0001473192,0.0001920216,0.00058039924,0.0002082656,0.00028248053,0.00022840103,0.00020807286,0.0003097535],"category_scores_gemma":[0.0001743384,0.00010162219,0.00020475665,0.0006279378,0.00015453907,0.00015111252,0.0002240636,0.00012754508,0.0000596519],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022657949,0.00012514555,0.90867954,0.00006919147,0.00014492875,0.00048666078,0.0006258608,0.030435292,0.02829499,0.00053829537,0.00055911765,0.02981432],"study_design_scores_gemma":[0.000004461077,0.000044203305,0.95942384,0.0000073896645,0.00003402281,0.00006501302,0.00036591926,0.03817903,0.0012405805,0.00007220262,0.00055209943,0.000011392236],"about_ca_topic_score_codex":0.07102956,"about_ca_topic_score_gemma":0.0989631,"teacher_disagreement_score":0.07102956,"about_ca_system_score_codex":0.00077121647,"about_ca_system_score_gemma":0.00052507786,"threshold_uncertainty_score":0.14123219},"labels":[],"label_agreement":null},{"id":"W4386500147","doi":"10.14796/jwmm.c504","title":"The Variation of Water Parameters along the Bandawaya Valley, Northern Iraq","year":2023,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Water Quality and Pollution Assessment","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Sodium adsorption ratio; Sodium carbonate; Wadi; Total dissolved solids; Irrigation; Rainwater harvesting; Sodium; Sodium bicarbonate; Environmental science; Water quality; Hydrology (agriculture); Environmental chemistry; Environmental engineering; Chemistry; Drip irrigation; Geology; Agronomy; Geography","score_opus":0.03303526708628825,"score_gpt":0.25134935124439667,"score_spread":0.21831408415810843,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386500147","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":[0.99686664,0.000036426336,0.00021112239,0.000045189787,0.0000043302766,0.0000137475035,0.0005097785,0.000018611478,0.0022942955],"genre_scores_gemma":[0.9985989,0.000032855285,0.0002669533,0.000012537118,0.0000019351785,0.000016562793,0.00034658756,0.0000028726074,0.00072076055],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998983,0.000012842539,0.000004113955,0.000034829165,0.000022429078,0.00002737908],"domain_scores_gemma":[0.99986994,0.000019151965,0.00002218842,0.000010992092,0.000061372266,0.000016285665],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013224837,0.00019999822,0.00017705145,0.00039267857,0.00057991646,0.00053416815,0.0002512639,0.00032018102,0.0010921349],"category_scores_gemma":[0.00026148133,0.00011316638,0.00016066895,0.0008201767,0.00039893744,0.00024770357,0.00033227215,0.00017227924,0.00020438313],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028057667,0.0001821521,0.9045918,0.000119242904,0.00015984764,0.0011705599,0.0035487716,0.014007717,0.03273896,0.0009824836,0.0030761275,0.039141864],"study_design_scores_gemma":[0.0000057644534,0.00003220896,0.99312556,0.0000061372584,0.000011586493,0.000074801,0.0013331784,0.0030578792,0.0004277406,0.00004788834,0.0018669344,0.0000103082675],"about_ca_topic_score_codex":0.08190086,"about_ca_topic_score_gemma":0.11397126,"teacher_disagreement_score":0.08190086,"about_ca_system_score_codex":0.0008691661,"about_ca_system_score_gemma":0.0007073295,"threshold_uncertainty_score":0.1628483},"labels":[],"label_agreement":null},{"id":"W4387732049","doi":"10.14796/jwmm.c505","title":"Long Memory, Time Trends, and the Degree of Persistence in Water Temperatures of Five European Rivers and Lakes","year":2023,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Climate variability and models","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Agencia Estatal de Investigación; Universidad Francisco de Vitoria","keywords":"Persistence (discontinuity); Degree (music); Long memory; Environmental science; Global warming; Physical geography; Series (stratigraphy); Feature (linguistics); Climate change; Climatology; Geography; Ecology; Mathematics; Biology; Geology; Econometrics","score_opus":0.030014548692922086,"score_gpt":0.2130017183570335,"score_spread":0.1829871696641114,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387732049","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":[0.9989235,0.00006445303,0.0008390866,0.0000108733375,9.17595e-7,7.0098605e-7,0.00003031664,0.0000030025553,0.0001271093],"genre_scores_gemma":[0.99969125,0.000020335578,0.00020733902,0.0000014227851,0.0000014201701,9.668614e-7,0.000051613522,9.3291436e-7,0.000024720195],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997464,0.00006930589,0.000033271095,0.00006973133,0.000037135564,0.000044092758],"domain_scores_gemma":[0.9957075,0.0027126158,0.00096855004,0.00030000904,0.00017422407,0.00013701113],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010514806,0.00016575833,0.00021050719,0.0011367195,0.00022537098,0.00061586767,0.00020710657,0.00035194925,0.00033946],"category_scores_gemma":[0.0062708086,0.00012966037,0.0003636055,0.00089082704,0.00046064125,0.00094435585,0.00043756812,0.00028462402,0.000036016656],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00038847205,0.00006965711,0.9319402,0.000053779942,0.00035658333,0.0002788488,0.0011517481,0.029306259,0.0052478653,0.0017816147,0.000099615,0.029325243],"study_design_scores_gemma":[0.0000119299675,0.00011357495,0.9322139,0.000019086263,0.00010060119,0.00017677422,0.00048417324,0.062292427,0.001658536,0.002544492,0.00035074409,0.000033780678],"about_ca_topic_score_codex":0.0032800497,"about_ca_topic_score_gemma":0.0034705405,"teacher_disagreement_score":0.0032800497,"about_ca_system_score_codex":0.00030172264,"about_ca_system_score_gemma":0.00014794113,"threshold_uncertainty_score":0.0065218806},"labels":[],"label_agreement":null},{"id":"W4387790196","doi":"10.14796/jwmm.c506","title":"Challenges in Implementing ICT Tools in Water and Sanitation Services Management in South Africa","year":2023,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"ICT Impact and Policies","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Sanitation; Information and Communications Technology; Business; Knowledge management; Service provider; Information technology; Process management; Service (business); Environmental resource management; Marketing; Engineering; Computer science; World Wide Web","score_opus":0.06883038408106053,"score_gpt":0.2702642321845263,"score_spread":0.20143384810346576,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387790196","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":[0.91785145,0.0018291491,0.0043620286,0.029465586,0.000051144758,0.00022141564,0.000059332917,0.000017739241,0.04614209],"genre_scores_gemma":[0.995943,0.00093460066,0.0013123009,0.00029828335,0.0000036272095,0.00005241037,0.0000075402622,0.000004681342,0.001443423],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.99120843,0.006199177,0.0003625497,0.00021114842,0.0006728758,0.0013458331],"domain_scores_gemma":[0.99437284,0.0038626143,0.00066552684,0.00016082273,0.00042426222,0.0005140275],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006947696,0.00022838861,0.00021905177,0.0007642647,0.0048055253,0.006686359,0.00071672845,0.0012272549,0.003162613],"category_scores_gemma":[0.0100907395,0.00029240025,0.00018724975,0.0016490679,0.0038705894,0.003996953,0.004330336,0.001289144,0.00020733773],"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":[0.00014305305,0.0004301069,0.049126994,0.0023088478,0.000056746016,0.008727538,0.58407867,0.008082322,0.00610952,0.19911247,0.005849945,0.13597389],"study_design_scores_gemma":[0.000013803701,0.00013116785,0.015279393,0.0017990385,0.000023693547,0.0007540685,0.8628377,0.0031249027,0.0017336952,0.0125800995,0.101677634,0.000044760516],"about_ca_topic_score_codex":0.01649706,"about_ca_topic_score_gemma":0.015017521,"teacher_disagreement_score":0.01649706,"about_ca_system_score_codex":0.005938659,"about_ca_system_score_gemma":0.013661712,"threshold_uncertainty_score":0.043088198},"labels":[],"label_agreement":null},{"id":"W4388115300","doi":"10.14796/jwmm.c507","title":"The Elephant and the Goddess: How Water Systems Models Could Help Preserve Civil Life","year":2023,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Water resources management and optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Degrowth; Anthropocene; Panacea (medicine); Sustainability; Population; Population growth; Transition management (governance); Environmental ethics; Environmental planning; Environmental resource management; Political science; Geography; Ecology; Economics; Sociology","score_opus":0.01938260446016182,"score_gpt":0.18486151484853133,"score_spread":0.1654789103883695,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388115300","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":[0.023798937,0.015777854,0.7345072,0.13510913,0.0037867317,0.00012819514,0.0007960679,0.0012395256,0.084856294],"genre_scores_gemma":[0.53534144,0.024653547,0.395995,0.0070036515,0.0026454476,0.00048796012,0.0006821866,0.0010140124,0.032176774],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99920267,0.0005309706,0.000031313495,0.00007964574,0.00011219859,0.000043162378],"domain_scores_gemma":[0.99642026,0.0026591392,0.00011358006,0.0002599978,0.00030910264,0.0002380074],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0039505935,0.0010028974,0.0009513906,0.0012172335,0.001362213,0.004250664,0.002090758,0.003105812,0.008044797],"category_scores_gemma":[0.011196393,0.00051774085,0.001182263,0.001034522,0.002819521,0.007668508,0.0031701908,0.003120934,0.0011021044],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000023390669,0.000032027925,0.0011272491,0.00014145527,0.00006195667,0.00011231654,0.0006766998,0.2223938,0.00013585042,0.73826593,0.012117199,0.024912123],"study_design_scores_gemma":[0.0000090038075,0.000015414844,0.000113773924,0.00014419382,0.000013236822,0.000022097936,0.0003748629,0.20827247,0.000069197624,0.75866294,0.0322702,0.000032706506],"about_ca_topic_score_codex":0.014850821,"about_ca_topic_score_gemma":0.017435817,"teacher_disagreement_score":0.014850821,"about_ca_system_score_codex":0.0019432406,"about_ca_system_score_gemma":0.0022031467,"threshold_uncertainty_score":0.029528797},"labels":[],"label_agreement":null},{"id":"W4388509954","doi":"10.14796/jwmm.c508","title":"Surface Water Quality Assessment, Prediction, and Modeling of the River Daya in Odisha","year":2023,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Water Quality and Pollution Assessment","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Water quality; Surface water; Environmental science; Decision tree; Fecal coliform; Predictive modelling; Quality (philosophy); Total dissolved solids; Hydrology (agriculture); Environmental engineering; Computer science; Machine learning; Engineering; Ecology","score_opus":0.07176829787782665,"score_gpt":0.3094059394867971,"score_spread":0.23763764160897047,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388509954","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":[0.99113536,0.00014750064,0.0064087287,0.00025309934,0.00001621586,0.000033446937,0.0005111567,0.00009052644,0.0014040285],"genre_scores_gemma":[0.99610823,0.00010185579,0.0025356743,0.000013765791,0.0000037464627,0.000026024463,0.0004136529,0.000008226015,0.00078881794],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997956,0.00004185157,0.0000143863135,0.000055415883,0.000040399624,0.00005232779],"domain_scores_gemma":[0.9998074,0.000060433304,0.000024716113,0.000014397463,0.00007223847,0.000020846785],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00042010559,0.00042663995,0.00043792368,0.00044450155,0.00066348043,0.0011181415,0.0006564504,0.00074943324,0.00060538464],"category_scores_gemma":[0.0005709069,0.00033404285,0.0009423712,0.00079405395,0.00034890862,0.0006064175,0.00063477946,0.00067616365,0.00011793629],"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":[0.000105082814,0.00019468393,0.12686385,0.00009436673,0.00008281448,0.00040620784,0.00021215029,0.84888256,0.0038233348,0.0007804376,0.0008270454,0.01772757],"study_design_scores_gemma":[0.000009228446,0.000033822413,0.030962905,0.000007535164,0.000013656084,0.000018185734,0.00018070103,0.96750724,0.0005167565,0.0003056727,0.0004276724,0.000016673517],"about_ca_topic_score_codex":0.20108426,"about_ca_topic_score_gemma":0.16871575,"teacher_disagreement_score":0.20108426,"about_ca_system_score_codex":0.0018681393,"about_ca_system_score_gemma":0.0020293486,"threshold_uncertainty_score":0.39982766},"labels":[],"label_agreement":null},{"id":"W4389159813","doi":"10.14796/jwmm.c509","title":"Estimation of Infiltration Rate using a Nonlinear Regression Model","year":2023,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Irrigation Practices and Water Management","field":"Agricultural and Biological Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Infiltration (HVAC); Mathematics; Statistics; Groundwater recharge; Surface runoff; Solver; Mean squared error; Hydrology (agriculture); Soil science; Environmental science; Groundwater; Geography; Geology; Geotechnical engineering; Meteorology; Aquifer","score_opus":0.06507789015482819,"score_gpt":0.2841570250306131,"score_spread":0.2190791348757849,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389159813","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":[0.12625569,0.0002641382,0.8638434,0.00019702376,0.000053788972,0.0001557763,0.0007634292,0.0019109673,0.0065556797],"genre_scores_gemma":[0.8835747,0.00056973397,0.105027094,0.000051344174,0.000034949968,0.00030103666,0.0010659042,0.00016933103,0.009205917],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992105,0.0001939047,0.000067629684,0.0002463512,0.00020155306,0.00008006515],"domain_scores_gemma":[0.9990689,0.0004434326,0.00015448872,0.000049852708,0.00026824628,0.0000150996575],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009416752,0.0009591564,0.0007613037,0.0010374868,0.00026382803,0.0010270033,0.0010231823,0.00078230555,0.0026961635],"category_scores_gemma":[0.0028609422,0.00039633783,0.0013705284,0.0014919647,0.00026214783,0.00086627074,0.00053011323,0.00096334174,0.0011676536],"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":[0.00009834693,0.00008645637,0.010928703,0.00018257294,0.00006562248,0.00017626405,0.00010890353,0.91546077,0.006049905,0.0021978107,0.00083183503,0.06381291],"study_design_scores_gemma":[0.0000032848925,0.000024350922,0.0011954489,0.000006422007,0.0000109105,0.000023087157,0.000017359225,0.9968562,0.00098189,0.00032873653,0.00054142997,0.000010803832],"about_ca_topic_score_codex":0.013628692,"about_ca_topic_score_gemma":0.008472227,"teacher_disagreement_score":0.013628692,"about_ca_system_score_codex":0.0006876955,"about_ca_system_score_gemma":0.00090881303,"threshold_uncertainty_score":0.027098715},"labels":[],"label_agreement":null},{"id":"W4389584691","doi":"10.14796/jwmm.c510","title":"Modeling Optimal Canal Conveyance Capacity for the Ahero Irrigation Scheme using the Hydrologic Engineering Centre River Analysis System (HEC-RAS)","year":2023,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Water resources management and optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Masinde Muliro University of Science and Technology","keywords":"Irrigation; Levelling; Hydrology (agriculture); Environmental science; Irrigation district; Low-flow irrigation systems; Engineering; Geotechnical engineering; Drip irrigation; Geology","score_opus":0.02724970954263538,"score_gpt":0.20058107328198196,"score_spread":0.17333136373934657,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389584691","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":[0.9567607,0.0001465336,0.031056346,0.00021197731,0.000019706471,0.00011055779,0.0008721928,0.00015603939,0.010665972],"genre_scores_gemma":[0.9929777,0.00006398122,0.0049521294,0.000008566799,0.0000027037088,0.00005981962,0.00019264594,0.000013719388,0.00172865],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99983895,0.000044662833,0.0000075548583,0.000039798004,0.0000196636,0.0000493319],"domain_scores_gemma":[0.99962854,0.00020641496,0.000046483045,0.000013739968,0.00008033656,0.00002449475],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036145942,0.00040310092,0.00042165833,0.00052625657,0.0005192027,0.0010778285,0.000514722,0.001149582,0.0019375624],"category_scores_gemma":[0.00092595146,0.00039130024,0.00073494954,0.00048153632,0.00036215983,0.0006023317,0.0003573484,0.00049929105,0.00014939328],"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":[0.000013152467,0.000013650992,0.0012955697,0.000011052686,0.00000430786,0.0000276046,0.000011946131,0.9969824,0.0003861451,0.00038006008,0.000093923816,0.0007800866],"study_design_scores_gemma":[0.000005413321,0.000016413222,0.0007387563,0.0000025751472,0.000004677803,0.0000038176895,0.000025777726,0.9987613,0.00017316196,0.00011934014,0.00014427397,0.0000046103996],"about_ca_topic_score_codex":0.08917567,"about_ca_topic_score_gemma":0.08078094,"teacher_disagreement_score":0.08917567,"about_ca_system_score_codex":0.0019624038,"about_ca_system_score_gemma":0.0024032907,"threshold_uncertainty_score":0.17731321},"labels":[],"label_agreement":null},{"id":"W4390732070","doi":"10.14796/jwmm.c511","title":"E. coli Levels Associated with Source Waters and Household Handling Practices of Potable Water in Peri-urban Phnom Penh, Cambodia","year":2024,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Urban Stormwater Management Solutions","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Bottled water; Rainwater harvesting; Water quality; Environmental science; Potable water; Water source; Water resource management; Environmental engineering; Wetland; Water supply; Environmental health; Environmental protection; Ecology; Medicine","score_opus":0.03605977246448657,"score_gpt":0.22905705977522278,"score_spread":0.1929972873107362,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390732070","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":[0.9993099,0.00007530341,0.000035368328,0.000044329343,0.0000015026944,0.000008933641,0.00016888804,9.554348e-7,0.00035471725],"genre_scores_gemma":[0.9992374,0.00010070149,0.00005852215,0.00003660878,0.0000022789527,0.00001615504,0.00012620355,6.676718e-7,0.00042141997],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99976045,0.000061077066,0.000021348149,0.0000605254,0.000028609757,0.00006803484],"domain_scores_gemma":[0.99949586,0.0001228585,0.00024086775,0.000023426808,0.000056939665,0.000059933063],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026351179,0.00035456865,0.00019706077,0.00049391,0.00046261703,0.00053645734,0.00029179844,0.00051356887,0.0021774387],"category_scores_gemma":[0.0007006086,0.0003340231,0.00021902712,0.00091418327,0.0006537349,0.0004912047,0.00057345344,0.0003568645,0.00017763043],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011697233,0.000078908,0.99088424,0.00007059136,0.000024942377,0.000438485,0.0021430436,0.000095397314,0.0025175503,0.00004261739,0.00011934893,0.003468001],"study_design_scores_gemma":[0.0000012846447,0.00008356569,0.9966989,0.000016690265,0.0000064360142,0.00011405508,0.0027423976,0.000072019095,0.00015949362,0.000009822233,0.00009273576,0.000002566264],"about_ca_topic_score_codex":0.047653474,"about_ca_topic_score_gemma":0.0748821,"teacher_disagreement_score":0.047653474,"about_ca_system_score_codex":0.0007279786,"about_ca_system_score_gemma":0.00036916602,"threshold_uncertainty_score":0.09475219},"labels":[],"label_agreement":null},{"id":"W4391775895","doi":"10.14796/jwmm.c512","title":"A Bio-inspired and Deep Learning Based Hybrid Model for Agricultural Drought Assessment","year":2024,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Hydrology and Drought Analysis","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Agriculture; Agricultural engineering; Agroforestry; Artificial intelligence; Environmental science; Computer science; Geography; Engineering; Archaeology","score_opus":0.01211928467490762,"score_gpt":0.2387002805108677,"score_spread":0.2265809958359601,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391775895","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":[0.19219127,0.0012391473,0.7950596,0.00048817735,0.00018471095,0.00006577253,0.0003673535,0.001185082,0.009218779],"genre_scores_gemma":[0.94847107,0.00032078553,0.041933574,0.00012942615,0.00002827187,0.00010009216,0.00032707799,0.000023604083,0.008666134],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999269,0.000008919961,0.000004476453,0.000024854184,0.000017207258,0.00001765053],"domain_scores_gemma":[0.9999113,0.000027381708,0.000012844985,0.000005813923,0.00003505435,0.0000075389303],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024122083,0.00048191036,0.0004403621,0.00028030717,0.00022451289,0.00054969423,0.0008672911,0.0006444163,0.0013433216],"category_scores_gemma":[0.00032190362,0.00024562626,0.0004925524,0.00031393144,0.00021970437,0.0005655952,0.00042710142,0.00054701685,0.00019987734],"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":[0.000049541934,0.00006605146,0.0013232636,0.000028814115,0.0000511687,0.00005132176,0.000017597564,0.95277,0.003612041,0.0011364464,0.0005639327,0.04032993],"study_design_scores_gemma":[0.0000012381511,0.000011169044,0.00016327847,0.0000014247676,0.000004463127,0.000004433728,0.0000013523666,0.99920624,0.00029663433,0.00018617703,0.000121901714,0.0000017015036],"about_ca_topic_score_codex":0.012242289,"about_ca_topic_score_gemma":0.015127006,"teacher_disagreement_score":0.012242289,"about_ca_system_score_codex":0.0007377836,"about_ca_system_score_gemma":0.00064937974,"threshold_uncertainty_score":0.02434206},"labels":[],"label_agreement":null},{"id":"W4392173286","doi":"10.14796/jwmm.c513","title":"Inundation Mapping and Flood Frequency Analysis using HEC-RAS Hydraulic Model and EasyFit Software","year":2024,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Flood Risk Assessment and Management","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Flood myth; Environmental science; Hydrology (agriculture); Software; Petroleum engineering; Geology; Computer science; Geotechnical engineering; Geography; Operating system; Archaeology","score_opus":0.021142965166781352,"score_gpt":0.24488573253585574,"score_spread":0.2237427673690744,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392173286","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":[0.18639567,0.00012831106,0.5565365,0.00029738067,0.00015904098,0.00084875996,0.03843729,0.19774254,0.019454494],"genre_scores_gemma":[0.5098947,0.00023281923,0.43467018,0.00012406208,0.00006179977,0.0016588102,0.027208792,0.008515041,0.017633665],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99970585,0.000034911613,0.000041177107,0.000096301526,0.00009385519,0.000027760401],"domain_scores_gemma":[0.9991679,0.00025874234,0.00009867815,0.00008701077,0.00034677185,0.000041052284],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008176967,0.0008243667,0.000669464,0.0020708917,0.0003787213,0.001047174,0.0010029676,0.00037056158,0.024877759],"category_scores_gemma":[0.0020719022,0.0005029294,0.0007462476,0.001894421,0.00020389282,0.0011830645,0.00062508543,0.00079741084,0.0045784344],"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":[0.000999951,0.00076607004,0.060839567,0.0010593091,0.00041892115,0.0008002234,0.0021993355,0.17602429,0.023205098,0.010849655,0.17293885,0.54989874],"study_design_scores_gemma":[0.00010695277,0.00009300907,0.029878523,0.000066257046,0.00008878966,0.00017060064,0.00032360744,0.89962333,0.01390436,0.004277436,0.05131877,0.00014830877],"about_ca_topic_score_codex":0.009561914,"about_ca_topic_score_gemma":0.01018004,"teacher_disagreement_score":0.024877759,"about_ca_system_score_codex":0.00036376674,"about_ca_system_score_gemma":0.0009759811,"threshold_uncertainty_score":0.083224416},"labels":[],"label_agreement":null},{"id":"W4393645303","doi":"10.14796/jwmm.c514","title":"Resilient Stormwater Management of a Coastal Catchment","year":2024,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Urban Stormwater Management Solutions","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Stormwater management; Stormwater; Environmental science; Drainage basin; Hydrology (agriculture); Water resource management; Catchment hydrology; Surface runoff; Geography; Environmental planning; Geology; Cartography; Ecology; Geotechnical engineering","score_opus":0.01624412016201565,"score_gpt":0.232201905563237,"score_spread":0.21595778540122135,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393645303","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":[0.74287343,0.0000866565,0.2506241,0.0007315874,0.00001549988,0.00016373392,0.000244303,0.00027389405,0.0049867495],"genre_scores_gemma":[0.988675,0.00004394659,0.01052724,0.00001576049,0.0000026939836,0.000027008895,0.00003626152,0.00000791725,0.0006641248],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9997873,0.00007000397,0.000010555018,0.000049823368,0.000029926894,0.000052393465],"domain_scores_gemma":[0.99979717,0.00007074297,0.000048468526,0.000017037013,0.000028065882,0.000038554135],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000501336,0.00029503222,0.00026185432,0.00039195784,0.000499521,0.0010568977,0.0004970751,0.00066213997,0.0013117179],"category_scores_gemma":[0.0010293821,0.00019655393,0.00038179167,0.0003963424,0.00071822066,0.0008503088,0.0010406927,0.00039540854,0.00007574518],"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":[0.000021467165,0.000021962167,0.0022016293,0.000008807973,0.000013764376,0.000111209454,0.000041731237,0.98581123,0.002233036,0.003410215,0.00009858448,0.0060262773],"study_design_scores_gemma":[0.00001138547,0.000057220786,0.0009753409,0.000004603657,0.000008122075,0.000018942688,0.00009649699,0.9914533,0.0009810823,0.0059285765,0.00045712633,0.000007810686],"about_ca_topic_score_codex":0.0068169553,"about_ca_topic_score_gemma":0.0053914855,"teacher_disagreement_score":0.0068169553,"about_ca_system_score_codex":0.0010871222,"about_ca_system_score_gemma":0.0012846427,"threshold_uncertainty_score":0.013554573},"labels":[],"label_agreement":null},{"id":"W4396681160","doi":"10.14796/jwmm.c515","title":"Mathematical Program with Vanishing Constraints for Optimal Pressure Control in Water Distribution Systems","year":2024,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Water Systems and Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Distribution (mathematics); Control (management); Mathematical optimization; Computer science; Mathematics; Mathematical analysis; Artificial intelligence","score_opus":0.008599773976467724,"score_gpt":0.20847313214760854,"score_spread":0.19987335817114082,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4396681160","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":[0.010705446,0.0007823414,0.9753642,0.00062297063,0.00007938272,0.00009061443,0.0001654369,0.00012832612,0.012061374],"genre_scores_gemma":[0.70674914,0.0025517272,0.26763293,0.00047914044,0.00021470358,0.0011938635,0.0005926782,0.00026953165,0.020316206],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99935323,0.00026877568,0.000026880323,0.00009811001,0.00017109564,0.000081875],"domain_scores_gemma":[0.9987496,0.00090992125,0.00009380378,0.000028097716,0.00018134374,0.00003716058],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001964395,0.0013759467,0.0013354148,0.00081025454,0.00057251,0.001803387,0.00079500343,0.0014614286,0.0042121364],"category_scores_gemma":[0.003924788,0.000645605,0.0012697388,0.0010434109,0.001197935,0.0013784439,0.0011996226,0.0023601355,0.00041634977],"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":[0.00001675231,0.000032168628,0.00018914611,0.000112233065,0.000018402166,0.000059841088,0.000052815813,0.9464377,0.0004320227,0.04606615,0.00091410277,0.0056686937],"study_design_scores_gemma":[0.0000052181085,0.000010976303,0.00003561006,0.000008669608,0.000004122852,0.000004356867,0.000009386829,0.9929832,0.000086161104,0.006340538,0.0005082192,0.0000034807267],"about_ca_topic_score_codex":0.011634589,"about_ca_topic_score_gemma":0.006533738,"teacher_disagreement_score":0.011634589,"about_ca_system_score_codex":0.0014304087,"about_ca_system_score_gemma":0.0025496776,"threshold_uncertainty_score":0.023133755},"labels":[],"label_agreement":null},{"id":"W4396692851","doi":"10.14796/jwmm.c516","title":"Opportunities for Leveraging Existing Hydrologic and Hydraulic Models Developed for Water Quantity Management to Mitigate Flooding Due to Extreme Precipitation","year":2024,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Flood Risk Assessment and Management","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Combined sewer; Environmental science; Flooding (psychology); Stormwater; Flood myth; Climate change; Precipitation; Flood control; Hydrology (agriculture); Water resource management; Surface runoff; Meteorology; Engineering; Geography; Geology","score_opus":0.16828379252861653,"score_gpt":0.2968529141679323,"score_spread":0.12856912163931578,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4396692851","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":[0.54445976,0.0007629008,0.4023207,0.004568253,0.00034695817,0.0005489134,0.0023792055,0.0034228342,0.041190382],"genre_scores_gemma":[0.9375102,0.00053643715,0.058533423,0.00025949,0.00006484844,0.00015129338,0.0006996169,0.000121532175,0.0021230476],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997204,0.00010854407,0.000019164483,0.000054134915,0.00006761066,0.000030133318],"domain_scores_gemma":[0.9991634,0.0003391181,0.00016335495,0.00012979773,0.00014312543,0.00006128113],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00076374883,0.0007430472,0.0005927953,0.00060230616,0.00038412743,0.0011484913,0.0018978557,0.0011425344,0.0016974501],"category_scores_gemma":[0.0020959377,0.0005738411,0.00081626617,0.00051980506,0.00052956707,0.0014842185,0.000726427,0.0007782169,0.00021473842],"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":[0.000008064243,0.00005424095,0.0024798422,0.000015444728,0.000022650487,0.000019878667,0.000018434923,0.99128306,0.00046610495,0.00093438703,0.0002199383,0.0044780164],"study_design_scores_gemma":[0.000013356485,0.000032497253,0.0005984603,0.0000064849437,0.00001010002,0.000005969267,0.000017400731,0.9974935,0.0002218716,0.000640081,0.00094757025,0.000012828463],"about_ca_topic_score_codex":0.05119285,"about_ca_topic_score_gemma":0.07361898,"teacher_disagreement_score":0.05119285,"about_ca_system_score_codex":0.0012510624,"about_ca_system_score_gemma":0.00255267,"threshold_uncertainty_score":0.10178977},"labels":[],"label_agreement":null},{"id":"W4399071785","doi":"10.14796/jwmm.c517","title":"A Comprehensive Review on Sediment Transport, Flow Dynamics, and Hazards in Steep Channels","year":2024,"lang":"en","type":"review","venue":"Journal of Water Management Modeling","topic":"Hydrology and Sediment Transport Processes","field":"Environmental Science","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Sediment transport; Geology; Flow (mathematics); Sediment; Environmental science; Hydrology (agriculture); Geomorphology; Geotechnical engineering; Mechanics; Physics","score_opus":0.028487896509099733,"score_gpt":0.276719798193426,"score_spread":0.2482319016843263,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399071785","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00018293758,0.997804,0.00021879337,0.00022273771,0.00024653407,0.00000614028,0.00006321111,0.000010523296,0.0012450579],"genre_scores_gemma":[0.0007572624,0.99824095,0.00021871558,0.0000988486,0.00015634194,0.0000057013567,0.000062012325,0.000001928528,0.00045822133],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9997985,0.000031786178,0.000040073042,0.00003827722,0.00007492536,0.0000165062],"domain_scores_gemma":[0.9994567,0.00028362757,0.00008107783,0.000014927469,0.00013173025,0.00003193316],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00048953947,0.0009265525,0.0012811957,0.0026989563,0.00028981996,0.0010004129,0.00070686016,0.00092411216,0.005901455],"category_scores_gemma":[0.0009779871,0.00035100433,0.00080259045,0.0034451413,0.0002915565,0.00142403,0.00053230004,0.0009456096,0.0016371664],"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":[0.00007162737,0.0000930958,0.0004027079,0.06438466,0.00021291191,0.00022992195,0.000121340054,0.001249766,0.002118896,0.005986952,0.06028947,0.86483866],"study_design_scores_gemma":[0.000009289769,0.00010140418,0.0013501332,0.009350169,0.00028926315,0.00060512265,0.000062794,0.00017966171,0.00041863468,0.0016308207,0.98597413,0.000028556438],"about_ca_topic_score_codex":0.002333075,"about_ca_topic_score_gemma":0.0034396204,"teacher_disagreement_score":0.005901455,"about_ca_system_score_codex":0.00045007913,"about_ca_system_score_gemma":0.0019258537,"threshold_uncertainty_score":0.01974231},"labels":[],"label_agreement":null},{"id":"W4400982131","doi":"10.14796/jwmm.c519","title":"A Probabilistic Markov Chain Model for Short-term Water Demand Forecasting","year":2024,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Water resources management and optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Term (time); Markov chain; Probabilistic logic; Probabilistic forecasting; Markov model; Computer science; Demand forecasting; Econometrics; Operations research; Economics; Mathematics; Artificial intelligence; Machine learning","score_opus":0.02985065930182543,"score_gpt":0.21966739793749507,"score_spread":0.18981673863566964,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400982131","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":[0.102671035,0.00070588425,0.88937044,0.00070417335,0.00015940383,0.000100404526,0.0012993095,0.00047109215,0.004518275],"genre_scores_gemma":[0.95222306,0.00090213266,0.039522752,0.00009319209,0.00010517103,0.00027382924,0.0014365315,0.00004686645,0.0053964495],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993179,0.0002513466,0.000046039182,0.00015724622,0.00011983901,0.000107681466],"domain_scores_gemma":[0.99726045,0.0020150833,0.00027057514,0.00007875395,0.00030714908,0.00006797184],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015741286,0.00079521595,0.0010785054,0.00092871394,0.00062550855,0.0010438602,0.0014741423,0.0011542399,0.0034172595],"category_scores_gemma":[0.004016862,0.0006777844,0.0011220857,0.0012378296,0.00059404696,0.0014992023,0.00066707894,0.0014323456,0.0004547759],"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":[0.00003520445,0.000022446733,0.0013791397,0.000020590993,0.000030082656,0.000046126937,0.000023171242,0.9879429,0.00018333396,0.0058306744,0.00033121472,0.0041552945],"study_design_scores_gemma":[0.000002622129,0.0000051488782,0.00013321014,0.0000021910796,0.000003660295,0.0000038837393,0.000002612948,0.99828917,0.000024816221,0.0014514363,0.00007821945,0.0000030363612],"about_ca_topic_score_codex":0.03750677,"about_ca_topic_score_gemma":0.025670225,"teacher_disagreement_score":0.03750677,"about_ca_system_score_codex":0.0011103012,"about_ca_system_score_gemma":0.0014616749,"threshold_uncertainty_score":0.074576914},"labels":[],"label_agreement":null},{"id":"W4400982384","doi":"10.14796/jwmm.c518","title":"Verification of Three-dimensional Numerical Study of Scour in Channel, Sudden and Gradual Contractions using Experimental Data","year":2024,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Hydraulic flow and structures","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Channel (broadcasting); Geology; Mechanics; Geotechnical engineering; Computer science; Physics; Telecommunications","score_opus":0.05717063466378104,"score_gpt":0.28967245995500596,"score_spread":0.23250182529122493,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400982384","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":[0.9923458,0.000023345934,0.0064289467,0.000027859049,0.000009002221,0.000023625274,0.0001568361,0.0001221032,0.00086239795],"genre_scores_gemma":[0.9973369,0.000017458284,0.0023480682,0.000003742544,0.0000013432872,0.000020981171,0.0000775299,0.0000064303026,0.00018753429],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997031,0.000037586018,0.00003129427,0.000049737,0.00012455869,0.00005371675],"domain_scores_gemma":[0.9991178,0.0003456703,0.00008526546,0.00016636157,0.00021993033,0.000064915315],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000488663,0.0003567592,0.00034979658,0.00045008902,0.00047873767,0.00034209117,0.00058416586,0.0005108275,0.0010948735],"category_scores_gemma":[0.0014491997,0.00017520314,0.00045507835,0.00039401726,0.0005028059,0.0003516345,0.00039821214,0.00047460245,0.0001234486],"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":[0.000482293,0.0006100972,0.027023066,0.00019168234,0.000044478547,0.00041767294,0.00037455332,0.71221596,0.24200368,0.0008566505,0.0003076363,0.015472201],"study_design_scores_gemma":[0.0000539556,0.00051442266,0.011686703,0.000009050735,0.000014499645,0.000048088197,0.00016300578,0.9070529,0.07988895,0.00015241426,0.00038102892,0.00003499775],"about_ca_topic_score_codex":0.008465356,"about_ca_topic_score_gemma":0.006127501,"teacher_disagreement_score":0.008465356,"about_ca_system_score_codex":0.000508234,"about_ca_system_score_gemma":0.0006913537,"threshold_uncertainty_score":0.016832173},"labels":[],"label_agreement":null},{"id":"W4401073555","doi":"10.14796/jwmm.h520","title":"An Overview of the Groundwater Situation in Namkhana Block, Sundarban Biosphere Reserve, India, from the Pinnacle of a Propagating Delta Front: A Post-Monsoonal Survey","year":2024,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Groundwater and Watershed Analysis","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Pinnacle; Biosphere; Delta; Block (permutation group theory); Front (military); Groundwater; Monsoon; Geography; Geology; Hydrology (agriculture); Environmental science; Oceanography; Ecology; Biology; Engineering","score_opus":0.0348077993999039,"score_gpt":0.26186433446535706,"score_spread":0.22705653506545315,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401073555","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":[0.9968239,0.000301935,0.00020034755,0.00009642988,0.0000019062279,0.000010169414,0.00082475867,0.000018676537,0.0017218947],"genre_scores_gemma":[0.99799025,0.00043172477,0.00029814092,0.000017766028,0.0000024951569,0.000008687353,0.00058989634,0.0000017649462,0.00065934216],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9999341,0.000012360088,0.000008110057,0.0000126173145,0.000014786854,0.000018010442],"domain_scores_gemma":[0.99991596,0.000013948004,0.000026332202,0.0000058601754,0.000021458985,0.000016430222],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000060044043,0.00011784085,0.000086541644,0.00080134603,0.00033514973,0.00044598404,0.00020080112,0.00017042254,0.0008048625],"category_scores_gemma":[0.00013350553,0.00008392447,0.00012295764,0.0016832638,0.00020792433,0.00020633491,0.00031678312,0.00010277221,0.00013196481],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006704444,0.000057505087,0.94889385,0.0002662017,0.000036203895,0.0016407777,0.0033232502,0.000938982,0.010063643,0.00040302158,0.0007581588,0.03355148],"study_design_scores_gemma":[0.0000011106716,0.00003727412,0.9933361,0.0000130318185,0.000014227516,0.00060618616,0.0030498737,0.000338444,0.00040706867,0.00004106191,0.0021493502,0.000006296669],"about_ca_topic_score_codex":0.04349249,"about_ca_topic_score_gemma":0.10279794,"teacher_disagreement_score":0.04349249,"about_ca_system_score_codex":0.00048096653,"about_ca_system_score_gemma":0.00057664304,"threshold_uncertainty_score":0.08647871},"labels":[],"label_agreement":null},{"id":"W44014538","doi":"10.14796/jwmm.r228-07","title":"Urban Induced Rainfall Modifications on Urban Hydrologic Response","year":2008,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Flood Risk Assessment and Management","field":"Environmental Science","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Environmental science; Hydrological modelling; Hydrology (agriculture); Geology; Climatology; Geotechnical engineering","score_opus":0.03780590563970077,"score_gpt":0.2431586935407704,"score_spread":0.20535278790106964,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W44014538","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":[0.9982651,0.000043481392,0.000076772754,0.000028704986,0.0000031049497,0.0000019265947,0.000094813,0.00000433588,0.0014817987],"genre_scores_gemma":[0.9996768,0.00003014839,0.000017559927,0.000005564396,0.0000028467111,8.9060825e-7,0.000035623903,0.0000031749453,0.00022734173],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99991107,0.000024187137,0.000004399985,0.00001649429,0.000009464126,0.000034411132],"domain_scores_gemma":[0.99967945,0.00013019823,0.000066160894,0.00003214443,0.00004281906,0.000049258964],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015815411,0.000084711224,0.000102301026,0.0001626213,0.00012452138,0.00031912417,0.00012865651,0.0002002942,0.004075859],"category_scores_gemma":[0.0007663826,0.000100842386,0.0001536491,0.0002653732,0.00027024254,0.00020341185,0.0002676619,0.00017543048,0.00035663543],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0050913803,0.00060447276,0.79374933,0.00018162429,0.00028681202,0.0014305708,0.0016582191,0.024704715,0.119056515,0.0032987187,0.002156154,0.04778143],"study_design_scores_gemma":[0.0000092705195,0.00010674643,0.9923226,0.0000034375391,0.000031802036,0.000054614262,0.0004419056,0.002459663,0.0035059487,0.00025127328,0.00080538826,0.000007304958],"about_ca_topic_score_codex":0.0031492438,"about_ca_topic_score_gemma":0.005566408,"teacher_disagreement_score":0.004075859,"about_ca_system_score_codex":0.00030416987,"about_ca_system_score_gemma":0.00014863594,"threshold_uncertainty_score":0.013635099},"labels":[],"label_agreement":null},{"id":"W4401747856","doi":"10.14796/jwmm.c521","title":"Dam-Break Risk Analysis and Mitigation at Pidekso Dam, Wonogiri Regency, Central Java, Indonesia","year":2024,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Dam Engineering and Safety","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Java; Dam break; Computer science; Geography; Operating system; Archaeology","score_opus":0.005823613265352575,"score_gpt":0.19246499966513123,"score_spread":0.18664138639977865,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401747856","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":[0.9934737,0.00013910783,0.0030545332,0.000098733224,0.0000078212,0.00003532101,0.0005847717,0.000045159846,0.0025608926],"genre_scores_gemma":[0.9974089,0.000117979616,0.0012854153,0.0000067411597,0.0000021583799,0.00001742026,0.00032863693,0.000006045907,0.0008267535],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997769,0.000044122124,0.000019375973,0.000035440647,0.00007941603,0.00004478063],"domain_scores_gemma":[0.9996351,0.00007869545,0.000116251664,0.000025540972,0.000089719484,0.000054600023],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004508774,0.0003834705,0.00025615975,0.0009047601,0.00028624732,0.0008995428,0.00037382843,0.00023188507,0.0008065446],"category_scores_gemma":[0.00071334344,0.00017396263,0.00035471233,0.0006904349,0.00020983627,0.00050987356,0.0006059622,0.0002919696,0.0001231778],"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":[0.00028394794,0.00030442255,0.8299522,0.00019659047,0.00019208317,0.002573147,0.0011526288,0.09134224,0.0063339015,0.0016154791,0.0019584673,0.06409495],"study_design_scores_gemma":[0.000019173032,0.00021141698,0.8308412,0.000051563886,0.00014276907,0.0007848961,0.0045029074,0.15525298,0.0028463514,0.001440984,0.0038570345,0.00004875588],"about_ca_topic_score_codex":0.01797321,"about_ca_topic_score_gemma":0.03180941,"teacher_disagreement_score":0.01797321,"about_ca_system_score_codex":0.0010480199,"about_ca_system_score_gemma":0.0010805242,"threshold_uncertainty_score":0.035737216},"labels":[],"label_agreement":null},{"id":"W4401804166","doi":"10.14796/jwmm.h522","title":"Impact of land use and land cover changes on runoff generation in the Kidangoor watershed, Kerala","year":2024,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Watershed; Surface runoff; Environmental science; Land cover; Land use; Hydrology (agriculture); Cover (algebra); Water resource management; Geography; Geology; Ecology; Engineering; Computer science; Biology","score_opus":0.031168066328936886,"score_gpt":0.2519919065971924,"score_spread":0.22082384026825552,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401804166","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":[0.99908197,0.000038482416,0.00010045304,0.000027815586,0.0000014346618,0.0000031619697,0.000095344505,0.0000058837454,0.00064543507],"genre_scores_gemma":[0.999584,0.000048242124,0.000101774465,0.000006305556,0.0000011590597,0.000002821095,0.00010215449,0.0000016816922,0.00015178806],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99977094,0.000049179638,0.000017897946,0.00004144213,0.000044212,0.000076293705],"domain_scores_gemma":[0.9997975,0.000061198974,0.000041322426,0.000016062904,0.00005659591,0.000027269747],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001938522,0.00016009058,0.0001746041,0.000510617,0.00025655376,0.00080358074,0.00023644693,0.00015251857,0.00064261846],"category_scores_gemma":[0.0005898277,0.00009284106,0.00023566055,0.00090834085,0.00034918118,0.00043380415,0.00053175696,0.0001548977,0.00009089406],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027898332,0.00021883266,0.9385687,0.00012578048,0.00019232224,0.0026983896,0.0011928567,0.018426348,0.0061969105,0.0007561188,0.00044690468,0.03089792],"study_design_scores_gemma":[0.0000055638843,0.000068079986,0.98491955,0.0000086613945,0.00005182672,0.00027443224,0.0030147803,0.009206898,0.0013048403,0.00014601364,0.0009845291,0.000014839982],"about_ca_topic_score_codex":0.036358256,"about_ca_topic_score_gemma":0.066505894,"teacher_disagreement_score":0.036358256,"about_ca_system_score_codex":0.001131586,"about_ca_system_score_gemma":0.0007931912,"threshold_uncertainty_score":0.07229328},"labels":[],"label_agreement":null},{"id":"W4401947448","doi":"10.14796/jwmm.c523","title":"Anticipating Soil Erosivity of Kulfo Watershed in the Southern Main Ethiopian Rift in Response to Changes in Land Use and Land Cover","year":2024,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Soil erosion and sediment transport","field":"Agricultural and Biological Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Watershed; Land cover; Rift valley; Land use; Hydrology (agriculture); Cover (algebra); Environmental science; Erosion; Agroforestry; Geology; Geography; Geomorphology; Ecology; Geotechnical engineering; Biology","score_opus":0.04602670025048561,"score_gpt":0.2458280609549296,"score_spread":0.199801360704444,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401947448","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":[0.99968696,0.000024730487,0.00007185787,0.0000067277115,9.0716253e-7,0.0000023449918,0.00005563638,0.000002367327,0.00014842623],"genre_scores_gemma":[0.99959356,0.000038150396,0.000164884,0.0000032830492,0.0000011936477,0.0000027718593,0.00008619894,7.999568e-7,0.000109103756],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999051,0.000020330463,0.0000065554946,0.000023384693,0.00001466274,0.000030005358],"domain_scores_gemma":[0.99986124,0.00002875272,0.000042839998,0.0000073034107,0.000027937253,0.00003202054],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026248672,0.00020849229,0.0002096353,0.00063977594,0.00025737524,0.0006970007,0.00019778588,0.00028571673,0.00036375804],"category_scores_gemma":[0.0003640812,0.00012002757,0.00016582993,0.0004917779,0.00019685083,0.00034971305,0.00025389943,0.00013540918,0.0000824646],"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":[0.00025747123,0.00015386747,0.9584377,0.00007603283,0.00008928859,0.0020531528,0.0013672115,0.009075061,0.010896047,0.00019487862,0.00026491206,0.01713438],"study_design_scores_gemma":[0.000006964018,0.00007639092,0.9873389,0.000015045249,0.000023085415,0.00016565826,0.0021784247,0.008637836,0.0011065123,0.00006571657,0.00037434377,0.000011254097],"about_ca_topic_score_codex":0.009605564,"about_ca_topic_score_gemma":0.020337772,"teacher_disagreement_score":0.009605564,"about_ca_system_score_codex":0.00045323302,"about_ca_system_score_gemma":0.00032495157,"threshold_uncertainty_score":0.019099295},"labels":[],"label_agreement":null},{"id":"W4402469225","doi":"10.14796/jwmm.h524","title":"Statistical comparison of simple and machine learning based land use and land cover classification algorithms: A case study","year":2024,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Remote-Sensing Image Classification","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Support vector machine; Land cover; Artificial intelligence; Random forest; Cohen's kappa; Algorithm; Mathematics; Machine learning; Computer science; Classifier (UML); Boundary (topology); Pattern recognition (psychology); Statistics; Land use; Engineering","score_opus":0.06950683480333616,"score_gpt":0.29733879975112354,"score_spread":0.22783196494778737,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402469225","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":[0.95266956,0.0008369546,0.043413974,0.00022295592,0.00006618675,0.00020640729,0.0006203044,0.00022425565,0.0017393533],"genre_scores_gemma":[0.9697207,0.00020331614,0.028615149,0.000033139237,0.000041270978,0.00013100375,0.0006661068,0.000045874465,0.00054326165],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9933561,0.003264907,0.00056982,0.0010194262,0.0015111987,0.00027851597],"domain_scores_gemma":[0.97782063,0.015269517,0.0014315206,0.0013193742,0.003913573,0.00024530085],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.012471294,0.0008143201,0.0007872866,0.0024237519,0.00044366717,0.0016684661,0.0009373208,0.0009886011,0.0007590287],"category_scores_gemma":[0.019339332,0.00023742986,0.0013958007,0.0020950125,0.0008793113,0.0015646196,0.0007509953,0.00069189654,0.0002907166],"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":[0.0018559704,0.0014806248,0.46684334,0.00080143625,0.0015093378,0.0011980715,0.0012204761,0.20994246,0.0060395114,0.0054171346,0.0045272084,0.29916447],"study_design_scores_gemma":[0.000072876464,0.0020859076,0.16129762,0.0001003996,0.00033133908,0.00080640154,0.0018229986,0.8181073,0.006772697,0.0040952414,0.004396929,0.000110269815],"about_ca_topic_score_codex":0.004429028,"about_ca_topic_score_gemma":0.0040226937,"teacher_disagreement_score":0.012471294,"about_ca_system_score_codex":0.001059477,"about_ca_system_score_gemma":0.0006990913,"threshold_uncertainty_score":0.06595528},"labels":[],"label_agreement":null},{"id":"W4403089995","doi":"10.14796/jwmm.c525","title":"Reparametrizing the Antecedent Moisture Model","year":2024,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Urban Stormwater Management Solutions","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Antecedent (behavioral psychology); Antecedent moisture; Moisture; Environmental science; Psychology; Computer science; Social psychology; Geography; Meteorology; Runoff curve number","score_opus":0.020632825358340056,"score_gpt":0.23790475505568512,"score_spread":0.21727192969734507,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403089995","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":[0.09624127,0.00009933876,0.89043486,0.0003993343,0.00008658236,0.000092271184,0.00025761896,0.0008151711,0.01157354],"genre_scores_gemma":[0.80195355,0.00024739292,0.18548661,0.0001626703,0.00005921952,0.00017101991,0.00029254644,0.0002570542,0.011369992],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99986005,0.00003873923,0.00000931083,0.000041320243,0.00003500805,0.000015551272],"domain_scores_gemma":[0.9997352,0.00010561743,0.00003847179,0.00007120364,0.000040814786,0.0000087556955],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031583384,0.0003963248,0.0003550522,0.00027055162,0.00017758962,0.00051142287,0.0010787772,0.0005932678,0.0046493956],"category_scores_gemma":[0.0013526117,0.00022668108,0.00060743064,0.00028081058,0.00039218325,0.0012808479,0.0007266021,0.0012432702,0.0006130192],"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":[0.0000217261,0.00004137092,0.00052672974,0.00002496151,0.00001124538,0.00008758141,0.000035162644,0.9515999,0.0056884373,0.018699318,0.00059730286,0.022666382],"study_design_scores_gemma":[0.0000046091377,0.0000139502035,0.000106825115,0.0000019139438,0.000003985059,0.000014302217,0.0000063365433,0.99465865,0.0010899601,0.0031404821,0.00095361983,0.0000052984005],"about_ca_topic_score_codex":0.00569084,"about_ca_topic_score_gemma":0.0038632094,"teacher_disagreement_score":0.00569084,"about_ca_system_score_codex":0.00045010226,"about_ca_system_score_gemma":0.00055866974,"threshold_uncertainty_score":0.015553772},"labels":[],"label_agreement":null},{"id":"W4403264884","doi":"10.14796/jwmm.c526","title":"Urban Flood Mitigation by Implementing LIDs (Case Study: Bendung Watershed in Palembang City)","year":2024,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Wetland Management and Conservation","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Lembaga Pengelola Dana Pendidikan; Universitas Gadjah Mada","keywords":"Flood myth; Watershed; Water resource management; Environmental planning; Environmental science; Hydrology (agriculture); Geography; Computer science; Geology; Archaeology; Geotechnical engineering","score_opus":0.014269129313952272,"score_gpt":0.22477267681060878,"score_spread":0.2105035474966565,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403264884","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":[0.99777323,0.000036080226,0.00058745703,0.00007749587,0.0000021718984,0.00003047142,0.000083381055,0.000022978671,0.0013868066],"genre_scores_gemma":[0.9981667,0.000066270084,0.0012092914,0.00000935989,0.0000011925827,0.000019668225,0.00008852183,0.0000021102987,0.00043687064],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998944,0.000027648313,0.000004587925,0.000013587365,0.000014289674,0.000045593406],"domain_scores_gemma":[0.9999385,0.000014286681,0.0000110769815,0.000007358391,0.000008564831,0.000020137422],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020718478,0.00026012617,0.00017044855,0.00039727692,0.000547822,0.00059031555,0.00039056683,0.0004072393,0.00093060866],"category_scores_gemma":[0.0002565868,0.00012967893,0.00027347074,0.00083919003,0.00040893018,0.00039387846,0.00070238725,0.00022749712,0.000066453205],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00072161545,0.0017895633,0.4760946,0.00044729144,0.00018978203,0.018790081,0.0026671714,0.326059,0.028377166,0.006230293,0.0037077323,0.13492559],"study_design_scores_gemma":[0.00028831768,0.0012237089,0.55096614,0.00012197329,0.00028419256,0.0017088101,0.017742816,0.3956662,0.015830941,0.0030629039,0.012976819,0.00012720827],"about_ca_topic_score_codex":0.022874078,"about_ca_topic_score_gemma":0.051854495,"teacher_disagreement_score":0.022874078,"about_ca_system_score_codex":0.0011270295,"about_ca_system_score_gemma":0.0010930847,"threshold_uncertainty_score":0.04548186},"labels":[],"label_agreement":null},{"id":"W4403861335","doi":"10.14796/jwmm.h527","title":"Analysis of Optimal Solutions of a Benchmark Water Distribution Network for Exploring the Global Optimality of the Current-best Solution","year":2024,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Water Systems and Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Benchmark (surveying); Current (fluid); Computer science; Mathematical optimization; Distribution (mathematics); Mathematics; Engineering; Geography; Electrical engineering; Cartography","score_opus":0.03892386188104321,"score_gpt":0.24390250068037453,"score_spread":0.20497863879933131,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403861335","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":[0.8524981,0.0014758902,0.12235929,0.0005312784,0.00007179464,0.0001732489,0.00094784884,0.0002664032,0.021676118],"genre_scores_gemma":[0.97057253,0.0002487783,0.027370118,0.000025779487,0.000007016642,0.00008870987,0.0005017572,0.000027848659,0.0011574711],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996865,0.000101227124,0.000012401843,0.000043232103,0.000090922265,0.00006572097],"domain_scores_gemma":[0.9987464,0.00079343637,0.000107292166,0.0000555337,0.0002585032,0.000038911123],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009982816,0.0008786153,0.00067464745,0.0016980497,0.00041213105,0.00082207297,0.0005751964,0.0009883747,0.0019019599],"category_scores_gemma":[0.0039791786,0.00019846747,0.0006161941,0.0010448113,0.0004385415,0.00063436665,0.0003703741,0.0004604402,0.00011083385],"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":[0.00006383525,0.000049745337,0.0011429377,0.00013800069,0.0000339039,0.00010176522,0.000033209923,0.98670006,0.0011757262,0.002884723,0.0005230183,0.0071531576],"study_design_scores_gemma":[0.000011221689,0.000097099844,0.001174586,0.0000226192,0.00002013974,0.00002839839,0.00009173164,0.99450594,0.0018094843,0.0017317514,0.0004996239,0.0000073344063],"about_ca_topic_score_codex":0.008594248,"about_ca_topic_score_gemma":0.005763634,"teacher_disagreement_score":0.008594248,"about_ca_system_score_codex":0.0011009334,"about_ca_system_score_gemma":0.0007329803,"threshold_uncertainty_score":0.017088413},"labels":[],"label_agreement":null},{"id":"W4404298626","doi":"10.14796/jwmm.c528","title":"Potential Flood Hazard Mapping Based on GIS and Analytical Hierarchy Process","year":2024,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Flood Risk Assessment and Management","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Flood myth; Hazard; Analytic hierarchy process; Process (computing); Hierarchy; Computer science; Geographic information system; Environmental science; Geography; Cartography; Engineering; Operations research; Political science; Archaeology","score_opus":0.01209775381375206,"score_gpt":0.24433592487613343,"score_spread":0.23223817106238137,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404298626","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":[0.38417926,0.00056307914,0.5903753,0.000653326,0.000027190621,0.00079066696,0.001529251,0.0010883958,0.020793505],"genre_scores_gemma":[0.8110372,0.00033334972,0.18629034,0.000020958712,0.000009616008,0.00026334924,0.0006223444,0.00001884034,0.0014040291],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994568,0.00019296877,0.000040318435,0.000048910155,0.0002155508,0.000045517943],"domain_scores_gemma":[0.9994646,0.00026494346,0.00007662691,0.0000260376,0.00013868991,0.000029110823],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00075658207,0.00032169037,0.00024510387,0.0033479403,0.00042259973,0.0010884897,0.00034157725,0.00018400847,0.0016028387],"category_scores_gemma":[0.0017160911,0.00021412098,0.00036156713,0.0031648611,0.00031850504,0.00088320574,0.0007227114,0.00022783878,0.0001793066],"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":[0.00032880207,0.00032942224,0.069211125,0.00093570515,0.00020761903,0.0009427509,0.0052391435,0.30609652,0.010472178,0.05466007,0.0074195084,0.544157],"study_design_scores_gemma":[0.000046090605,0.00015488523,0.026442608,0.00012266893,0.000060304345,0.00019274364,0.0029251717,0.92632127,0.0024030528,0.03150591,0.009771876,0.0000534166],"about_ca_topic_score_codex":0.0122477105,"about_ca_topic_score_gemma":0.010945388,"teacher_disagreement_score":0.0122477105,"about_ca_system_score_codex":0.00083530636,"about_ca_system_score_gemma":0.001189974,"threshold_uncertainty_score":0.024352849},"labels":[],"label_agreement":null},{"id":"W4404317708","doi":"10.14796/jwmm.c529","title":"Flood Hazard: A QGIS Plugin for Assessing Flood Consequences","year":2024,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Flood Risk Assessment and Management","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Institute of Technology, Raipur","keywords":"Flood myth; Plug-in; Hazard; Environmental science; Geography; Computer science; Archaeology; Ecology; Biology","score_opus":0.022292774863777624,"score_gpt":0.2777508721665491,"score_spread":0.25545809730277147,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404317708","genre_codex":"software","genre_gemma":"software","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"software","genre_consensus":"software","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.032557573,0.00020030899,0.33131889,0.00043064042,0.00019887283,0.00078301656,0.060460396,0.5605713,0.013478986],"genre_scores_gemma":[0.32117754,0.0006307273,0.4862681,0.00078612904,0.000115922245,0.0034229434,0.09986419,0.07203325,0.015701216],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99975234,0.000042680218,0.000036975274,0.000053561176,0.000086468215,0.00002796014],"domain_scores_gemma":[0.9991716,0.0004061487,0.00007207133,0.0001153815,0.00017480804,0.00005996764],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010787885,0.0013866514,0.00051900995,0.0020574783,0.00028230765,0.0011176212,0.0012232799,0.0005780146,0.032787316],"category_scores_gemma":[0.0033340538,0.00074642437,0.00069284736,0.0012414551,0.00032823705,0.0018057215,0.0016083859,0.0007024837,0.007960997],"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":[0.0012824388,0.0005002416,0.030638399,0.0015279565,0.00052328064,0.0010888351,0.0018901394,0.041331474,0.013867667,0.012088415,0.55586463,0.3393965],"study_design_scores_gemma":[0.00092940324,0.00032837086,0.043587256,0.00031489495,0.0001832719,0.0011468835,0.00083841314,0.53295106,0.036787137,0.03596224,0.34655502,0.0004160667],"about_ca_topic_score_codex":0.0032430363,"about_ca_topic_score_gemma":0.0030198782,"teacher_disagreement_score":0.032787316,"about_ca_system_score_codex":0.00033867935,"about_ca_system_score_gemma":0.00069082086,"threshold_uncertainty_score":0.10968453},"labels":[],"label_agreement":null},{"id":"W4404735520","doi":"10.14796/jwmm.c530","title":"River Flow Analysis using HEC-HMS and Assessing the Impact of Climate Change on Hydropower Generation by MODSIM in the Koka Reservoir of Ethiopia","year":2024,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Water-Energy-Food Nexus Studies","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Hydropower; Environmental science; Hydrology (agriculture); Water resource management; Flow (mathematics); Climate change; Geology; Geotechnical engineering; Oceanography; Engineering; Mathematics","score_opus":0.05591899545996539,"score_gpt":0.31866020113159416,"score_spread":0.2627412056716288,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404735520","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":[0.98913,0.00005004393,0.005998232,0.00009380964,0.000027087352,0.000030977324,0.0012550359,0.00050698366,0.0029078259],"genre_scores_gemma":[0.99246913,0.000040136136,0.00626654,0.000012575156,0.0000045296515,0.000028471071,0.0006489067,0.000025915197,0.00050389476],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99985576,0.00005061641,0.00001373882,0.000026709171,0.0000225587,0.000030708252],"domain_scores_gemma":[0.9996068,0.00019202798,0.000042560732,0.000042580505,0.00008276036,0.00003322111],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00066884863,0.00049779535,0.00045092576,0.00059629127,0.00029125978,0.0005871195,0.0006377891,0.0005519347,0.0014707281],"category_scores_gemma":[0.00083281356,0.00027550204,0.0007678991,0.00055957434,0.00025428704,0.0003518518,0.00029596305,0.00038984537,0.00012636247],"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":[0.00008545081,0.00009017652,0.014424894,0.000043122418,0.000039065897,0.000115752955,0.00005576635,0.9772174,0.0013104269,0.0007341987,0.00047047186,0.005413335],"study_design_scores_gemma":[0.00001709638,0.000027953893,0.002607727,0.000004616315,0.000008809019,0.000007939516,0.000039005492,0.9962475,0.0006845788,0.000099885954,0.0002473364,0.00000756081],"about_ca_topic_score_codex":0.03857308,"about_ca_topic_score_gemma":0.019996012,"teacher_disagreement_score":0.03857308,"about_ca_system_score_codex":0.0006031101,"about_ca_system_score_gemma":0.0011057563,"threshold_uncertainty_score":0.07669711},"labels":[],"label_agreement":null},{"id":"W4405054252","doi":"10.14796/jwmm.s531","title":"Modeling of Hydrodynamic Regimes for the Thuan An Estuary","year":2024,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Coastal and Marine Dynamics","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Estuary; Geology; Oceanography","score_opus":0.0182867847427629,"score_gpt":0.22377079897109348,"score_spread":0.20548401422833057,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405054252","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":[0.9411357,0.0002643833,0.034778144,0.0004318611,0.00010826041,0.00009314341,0.002340367,0.00059108605,0.020256948],"genre_scores_gemma":[0.9880981,0.00018387497,0.006455875,0.00003106041,0.000020273514,0.00008666022,0.000942913,0.000048181446,0.004133092],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999409,0.000011040938,0.000005091807,0.000019018866,0.000008896477,0.000014943876],"domain_scores_gemma":[0.999926,0.0000188353,0.000012210771,0.000006264788,0.000021573003,0.000015141434],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011583625,0.0004708538,0.00034219652,0.00050456385,0.00067110034,0.0012301813,0.00060194463,0.00096346106,0.0024227523],"category_scores_gemma":[0.00028465144,0.00038539566,0.0007266513,0.00059786224,0.0003652582,0.0003979713,0.0006174142,0.00045449132,0.00022615756],"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":[0.000017473067,0.000032700882,0.008228321,0.000022680162,0.00001773872,0.00013529422,0.000057152825,0.9868422,0.0007906569,0.0007781974,0.0005193988,0.0025580763],"study_design_scores_gemma":[0.000008747769,0.0000062919553,0.002302595,0.000003848426,0.000006111402,0.000010203662,0.000042436994,0.9969183,0.00008100173,0.00015325246,0.00046130447,0.0000058458395],"about_ca_topic_score_codex":0.08994773,"about_ca_topic_score_gemma":0.064006545,"teacher_disagreement_score":0.08994773,"about_ca_system_score_codex":0.00093757367,"about_ca_system_score_gemma":0.0017444786,"threshold_uncertainty_score":0.17884833},"labels":[],"label_agreement":null},{"id":"W4405311949","doi":"10.14796/jwmm.s532","title":"Investigation of Water Drainage Capability for Porous Asphalt Material with Varying Slope and Porosity Based on Laboratory Experiment","year":2024,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Grouting, Rheology, and Soil Mechanics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Viet Nam National University Ho Chi Minh City; Ho Chi Minh City University of Technology and Education","keywords":"Porosity; Asphalt; Geotechnical engineering; Drainage; Materials science; Environmental science; Composite material; Geology","score_opus":0.013888656694578744,"score_gpt":0.20882870398772163,"score_spread":0.19494004729314288,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405311949","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":[0.99725145,0.00017211199,0.0021144915,0.000010058164,0.0000063444995,0.000014401554,0.000108211374,0.000023236693,0.00029971325],"genre_scores_gemma":[0.9979867,0.00020277654,0.0014977972,0.0000070532656,0.0000036390293,0.000016537193,0.00008739362,0.000006306957,0.00019183582],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997471,0.000035327626,0.000023331504,0.000049678318,0.00010366033,0.00004081621],"domain_scores_gemma":[0.9996326,0.00011284126,0.00008145405,0.000029654972,0.00010864046,0.000034646575],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035345377,0.0003603483,0.00034338067,0.00041741406,0.0001847932,0.0002968303,0.0002577522,0.00025902534,0.0006292474],"category_scores_gemma":[0.00074323453,0.00012226957,0.00028172205,0.00037865233,0.00027826751,0.00050025363,0.0002816917,0.000305558,0.00008572758],"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":[0.00014135442,0.00014244133,0.005861183,0.00014677145,0.000017533946,0.00011937806,0.00011213216,0.0026568552,0.9837593,0.00010988219,0.00006387288,0.006869272],"study_design_scores_gemma":[0.000019968114,0.0021147672,0.020615943,0.000020944253,0.00007032309,0.00020339078,0.00031662648,0.013345457,0.9616531,0.00014616655,0.0014634307,0.000029954284],"about_ca_topic_score_codex":0.0006070229,"about_ca_topic_score_gemma":0.0011349169,"teacher_disagreement_score":0.0006292474,"about_ca_system_score_codex":0.00013284406,"about_ca_system_score_gemma":0.00017235236,"threshold_uncertainty_score":0.0021050572},"labels":[],"label_agreement":null},{"id":"W4405537378","doi":"10.14796/jwmm.s533","title":"Understanding Impacts of Groundwater Extraction on Flow Dynamics in Multi-aquifers in the Ho Chi Minh City Area, Vietnam","year":2024,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Groundwater flow and contamination studies","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Viet Nam National University Ho Chi Minh City","keywords":"Ho chi minh; Aquifer; Groundwater; Extraction (chemistry); Mekong delta; Groundwater flow; Water resource management; Hydrology (agriculture); Flow (mathematics); Environmental science; Geology; Geography; Geotechnical engineering; Mathematics; Cartography","score_opus":0.07627147216248772,"score_gpt":0.2757700858753501,"score_spread":0.1994986137128624,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405537378","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":[0.99896836,0.00003988705,0.00033054082,0.00006846669,0.0000011526851,0.0000068021295,0.00015249422,0.0000091791935,0.00042309443],"genre_scores_gemma":[0.9995315,0.000050163006,0.00017981803,0.000007439012,6.623247e-7,0.0000056164818,0.00008740669,0.0000021271173,0.0001352603],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998982,0.0000193402,0.0000059793842,0.000026455573,0.000012985808,0.000037005648],"domain_scores_gemma":[0.9998202,0.0000617279,0.000040276744,0.00001071051,0.00003637382,0.00003072327],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017532497,0.00023767789,0.0001643753,0.00045070442,0.00034875286,0.00061349,0.00029365602,0.00023920972,0.00055491267],"category_scores_gemma":[0.00041964508,0.00024001114,0.0002564244,0.0006955807,0.00030051463,0.0006633119,0.00034556308,0.00019653575,0.000036138314],"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":[0.00007281909,0.0001669103,0.75956833,0.00010211598,0.000070581715,0.00073846686,0.0014279747,0.20785661,0.006708324,0.0010470586,0.00054023106,0.021700613],"study_design_scores_gemma":[0.0000136606095,0.000057380137,0.5500735,0.000029183546,0.00004959566,0.00007820521,0.0030060713,0.44348478,0.0014980829,0.00052069896,0.0011569825,0.000031889835],"about_ca_topic_score_codex":0.32948995,"about_ca_topic_score_gemma":0.25720072,"teacher_disagreement_score":0.32948995,"about_ca_system_score_codex":0.0031367212,"about_ca_system_score_gemma":0.0017203138,"threshold_uncertainty_score":0.6551442},"labels":[],"label_agreement":null},{"id":"W4405640728","doi":"10.14796/jwmm.s534","title":"Numerical Modeling of Water Flow in Permeable Friction Course Pavement During Rainfall Considering Rainfall Intensity and Suction Pressure","year":2024,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Hydraulic flow and structures","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Ho Chi Minh City University of Technology and Education","keywords":"Suction; Course (navigation); Intensity (physics); Geotechnical engineering; Environmental science; Flow (mathematics); Hydrology (agriculture); Geology; Mechanics; Meteorology; Engineering; Geography; Physics","score_opus":0.009475541619126483,"score_gpt":0.20268503146616024,"score_spread":0.19320948984703376,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405640728","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":[0.8961473,0.0002243563,0.099069946,0.0001428054,0.00003529501,0.00005219907,0.0001822705,0.0002764851,0.0038693736],"genre_scores_gemma":[0.995433,0.00008353512,0.0037847662,0.0000056266654,0.0000041605,0.000020410027,0.000037277503,0.0000073431056,0.0006239748],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99988794,0.000015870812,0.0000072360235,0.000035257308,0.000024379438,0.00002926766],"domain_scores_gemma":[0.99987984,0.000045855337,0.000025488334,0.000008530759,0.000023978808,0.000016297232],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015059972,0.00037680328,0.00043624,0.00037688483,0.00041784797,0.00051020127,0.0005635671,0.00082078105,0.00065761385],"category_scores_gemma":[0.00050794875,0.00021677646,0.0004395357,0.00037094508,0.00051734643,0.00053451525,0.00035363916,0.0002976172,0.00006845798],"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":[0.000034724835,0.00003330727,0.004642795,0.000024868299,0.000008347189,0.00016196044,0.000051214425,0.9796531,0.010970201,0.00061230996,0.00006967992,0.0037374862],"study_design_scores_gemma":[0.000003829696,0.000011633673,0.000758452,0.0000012446419,0.000002432539,0.000011419815,0.000012909494,0.99838185,0.00064886926,0.00008721004,0.00007644527,0.000003813165],"about_ca_topic_score_codex":0.01890937,"about_ca_topic_score_gemma":0.007629206,"teacher_disagreement_score":0.01890937,"about_ca_system_score_codex":0.0006232579,"about_ca_system_score_gemma":0.000758059,"threshold_uncertainty_score":0.03759861},"labels":[],"label_agreement":null},{"id":"W4406220508","doi":"10.14796/jwmm.c535","title":"Development of Appropriate Synthetic Design Storms for Small Catchments in Gauteng, South Africa","year":2025,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Water Research Commission","keywords":"Storm; Environmental science; Meteorology; Intensity (physics); Surface runoff; Event (particle physics); Climatology; Geology; Geography; Ecology","score_opus":0.03592841559736229,"score_gpt":0.22994430227317203,"score_spread":0.19401588667580974,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406220508","genre_codex":"empirical","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":[0.9276191,0.000034479275,0.06826142,0.000078819,0.000010452436,0.00049081846,0.00061798317,0.00048507072,0.0024016737],"genre_scores_gemma":[0.91975075,0.00005956768,0.07879245,0.0000104987885,0.0000031987538,0.00030420607,0.00055642234,0.0000669519,0.00045596896],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99980456,0.00007009396,0.000016029748,0.000032712538,0.000042955922,0.000033755707],"domain_scores_gemma":[0.9993518,0.00029039985,0.000080949954,0.00007377546,0.00013093304,0.00007216556],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00073886605,0.0003302116,0.00028221752,0.0005573892,0.00038095273,0.0005220228,0.00044507647,0.00030730915,0.0011633525],"category_scores_gemma":[0.002375096,0.00024308795,0.00034854063,0.0007201332,0.0002569518,0.00040021847,0.00048334085,0.00025564936,0.00017195659],"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":[0.00023406852,0.00019107705,0.036883634,0.00012099756,0.000023053424,0.0005302849,0.0005890287,0.87732613,0.019009335,0.0016539858,0.00081552216,0.06262289],"study_design_scores_gemma":[0.0001235609,0.0002449952,0.017252153,0.000021823129,0.000014742854,0.00005990997,0.00041939004,0.9688488,0.00888204,0.0010047399,0.0031011007,0.000026777045],"about_ca_topic_score_codex":0.014717138,"about_ca_topic_score_gemma":0.027196476,"teacher_disagreement_score":0.014717138,"about_ca_system_score_codex":0.0009786315,"about_ca_system_score_gemma":0.0016337773,"threshold_uncertainty_score":0.02926296},"labels":[],"label_agreement":null},{"id":"W4406572349","doi":"10.14796/jwmm.h536","title":"Observed Interannual Variability and Projected Scenarios of Drought using Drought Indicators","year":2025,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Hydrology and Drought Analysis","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Nirma University","keywords":"Evapotranspiration; Precipitation; Environmental science; Climatology; Monsoon; Climate change; Uttar pradesh; Representative Concentration Pathways; Climate model; Geography; Geology; Ecology; Biology; Meteorology","score_opus":0.016387113842725252,"score_gpt":0.24364621403526018,"score_spread":0.22725910019253492,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406572349","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":[0.9915108,0.00006864994,0.0021332544,0.00012544128,0.000020997657,0.000021699614,0.0043526213,0.000095769035,0.0016707195],"genre_scores_gemma":[0.9975204,0.000038615122,0.00048704838,0.000009563676,0.0000036524777,0.000024725228,0.0017855061,0.000004125755,0.00012631669],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9997496,0.00009738002,0.000018255576,0.000051899762,0.000029002227,0.000053963715],"domain_scores_gemma":[0.9996024,0.0001553355,0.000070084396,0.000029696921,0.000097003845,0.000045554716],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009514767,0.00047202737,0.00022310727,0.00049068127,0.0002425705,0.000596881,0.00041113456,0.00054801285,0.0007694458],"category_scores_gemma":[0.0011619068,0.00019247105,0.00047675395,0.00089544716,0.00015725772,0.0004614013,0.00026288442,0.0003794864,0.0001309922],"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":[0.00051131996,0.0001502309,0.10582192,0.000089483714,0.0002315698,0.0003298639,0.000098925775,0.8796813,0.0020999624,0.0025055364,0.0020406984,0.006439191],"study_design_scores_gemma":[0.0000850097,0.00020954577,0.12837578,0.00002369898,0.00009304941,0.000083098836,0.00021992526,0.8659822,0.0013785113,0.0018333496,0.0016720202,0.000043928918],"about_ca_topic_score_codex":0.010639754,"about_ca_topic_score_gemma":0.008744922,"teacher_disagreement_score":0.010639754,"about_ca_system_score_codex":0.0008803218,"about_ca_system_score_gemma":0.0003591202,"threshold_uncertainty_score":0.021155655},"labels":[],"label_agreement":null},{"id":"W4406790486","doi":"10.14796/jwmm.c537","title":"Assessment of Suitability of Gridded Precipitation Data for Hydrological Simulation in Eastern Himalaya: A Case Study","year":2025,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Science and Engineering Research Board","keywords":"Precipitation; Climatology; Rain gauge; Environmental science; Soil and Water Assessment Tool; Streamflow; Climate Forecast System; Satellite; SWAT model; Hydrological modelling; Structural basin; Meteorology; Drainage basin; Quantitative precipitation estimation; Geology; Geography; Cartography","score_opus":0.0634408486380658,"score_gpt":0.34979220177657916,"score_spread":0.28635135313851334,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406790486","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":[0.9976446,0.00007176764,0.0010455283,0.00008411165,0.0000053883045,0.000025537418,0.00049844984,0.000052636682,0.0005720967],"genre_scores_gemma":[0.99737835,0.00006198357,0.00198744,0.000011903625,0.0000048973193,0.00001572025,0.00042048734,0.0000047729,0.00011447795],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995364,0.00025649325,0.00003613065,0.00006219177,0.00006433679,0.000044534074],"domain_scores_gemma":[0.9980318,0.0011997254,0.00010430306,0.0002596634,0.0003074095,0.00009703098],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013149469,0.000401201,0.00030206487,0.0005421886,0.00039597624,0.0010409058,0.0006415359,0.000522806,0.0004365907],"category_scores_gemma":[0.0026421666,0.00019658261,0.000461932,0.0012632573,0.00034281268,0.0005799411,0.0004054066,0.00034035664,0.00006191266],"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":[0.0004044989,0.00040353875,0.16626936,0.00015234787,0.00024933717,0.0013136195,0.00038743485,0.8027459,0.002779187,0.0011985741,0.00063419744,0.023461917],"study_design_scores_gemma":[0.000097449374,0.00021532967,0.11872835,0.000029754441,0.00010207222,0.0001091401,0.00078424887,0.8738765,0.00459849,0.0004501117,0.0009758977,0.000032687276],"about_ca_topic_score_codex":0.06207812,"about_ca_topic_score_gemma":0.039679747,"teacher_disagreement_score":0.06207812,"about_ca_system_score_codex":0.0014136208,"about_ca_system_score_gemma":0.0008078903,"threshold_uncertainty_score":0.12343359},"labels":[],"label_agreement":null},{"id":"W4407173280","doi":"10.14796/jwmm.s538","title":"Sep-Numerical Coupling Simulation of Groundwater Flow and Deformation in Excavation of Foundation Pit","year":2025,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Geotechnical Engineering and Analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Viet Nam National University Ho Chi Minh City; Ho Chi Minh City University of Technology and Education","keywords":"Geotechnical engineering; Excavation; Loam; Groundwater; Foundation (evidence); Hydraulic head; Geology; Pore water pressure; Computer simulation; Groundwater flow; Soil water; Engineering; Aquifer; Soil science; Law","score_opus":0.008227930784356826,"score_gpt":0.21579001281256338,"score_spread":0.20756208202820656,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407173280","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":[0.9673181,0.00005278199,0.026169883,0.00007141437,0.000019905614,0.000035378613,0.000102982245,0.0001712304,0.0060582072],"genre_scores_gemma":[0.9968346,0.000019171937,0.0025066256,0.0000071751742,0.0000015123273,0.00001584421,0.000030943927,0.000008042116,0.00057607214],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99985874,0.000034616525,0.000010151193,0.000020534702,0.00003265303,0.00004326946],"domain_scores_gemma":[0.99959844,0.00021602177,0.000055849086,0.000032828477,0.000053518263,0.000043324337],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026226783,0.00029217455,0.0004755256,0.00033884036,0.00037031158,0.00047499256,0.00052359374,0.0008595289,0.0013572947],"category_scores_gemma":[0.0009361062,0.00026450478,0.0003853308,0.0003227062,0.0005518187,0.00038074053,0.00060609047,0.00036855327,0.00009954096],"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":[0.0000674206,0.00004931181,0.002284837,0.000018821433,0.0000097825705,0.000091950336,0.000045319728,0.99161446,0.0029956969,0.0005610302,0.00006226871,0.0021991765],"study_design_scores_gemma":[0.00000569557,0.000018980998,0.0004174798,0.000001384298,0.0000020401667,0.0000063271646,0.000014751081,0.998863,0.0005284417,0.00009279736,0.000046525824,0.0000025787813],"about_ca_topic_score_codex":0.010586245,"about_ca_topic_score_gemma":0.0045218845,"teacher_disagreement_score":0.010586245,"about_ca_system_score_codex":0.00047916017,"about_ca_system_score_gemma":0.000518982,"threshold_uncertainty_score":0.021049201},"labels":[],"label_agreement":null},{"id":"W4407432126","doi":"10.14796/jwmm.h539","title":"Identification of Critical Hotspots in Urban Drainage Networks using MIKE URBAN","year":2025,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Urban Stormwater Management Solutions","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Identification (biology); Geography; Drainage; Environmental planning; Cartography; Ecology; Biology","score_opus":0.016242919596742598,"score_gpt":0.25733451714452654,"score_spread":0.24109159754778395,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407432126","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":[0.9065853,0.00020369938,0.079789594,0.00024249562,0.000022206994,0.00020467771,0.0038286797,0.0028143872,0.0063090525],"genre_scores_gemma":[0.95293385,0.000084336236,0.04376973,0.000015552403,0.0000056755907,0.000086406646,0.0019448254,0.000055390716,0.0011042308],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99981624,0.00004622373,0.000016062684,0.000045641,0.00003346889,0.000042364358],"domain_scores_gemma":[0.9995314,0.00022570799,0.000080509366,0.00003962336,0.000072979565,0.00004977956],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040058186,0.0005630074,0.000431454,0.0028632735,0.00046360944,0.0011125883,0.0007367518,0.000500519,0.003057866],"category_scores_gemma":[0.0012674835,0.00041867673,0.00066885306,0.0014297991,0.00030045045,0.0006093915,0.0011663012,0.00024261375,0.00026135822],"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":[0.00028250617,0.00015308529,0.10611209,0.0002259446,0.00015148343,0.0005704578,0.0005668147,0.840977,0.004356254,0.005397945,0.0028285624,0.03837784],"study_design_scores_gemma":[0.000008391036,0.000018593439,0.009143794,0.0000076033307,0.00001082572,0.00005248155,0.00025831634,0.9882464,0.0005456258,0.0008791392,0.0008161495,0.000012641735],"about_ca_topic_score_codex":0.012884606,"about_ca_topic_score_gemma":0.017967077,"teacher_disagreement_score":0.012884606,"about_ca_system_score_codex":0.0006502003,"about_ca_system_score_gemma":0.0006352772,"threshold_uncertainty_score":0.025619268},"labels":[],"label_agreement":null},{"id":"W4407567670","doi":"10.14796/jwmm.c540","title":"Drainage Discharge Design for Improved Hydrologic Performance of a Blue-Green Roof","year":2025,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Urban Stormwater Management Solutions","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Green roof; Environmental science; Drainage; Roof; Hydrology (agriculture); Geology; Civil engineering; Engineering; Geotechnical engineering; Ecology","score_opus":0.0203991325439625,"score_gpt":0.2252311109252875,"score_spread":0.204831978381325,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407567670","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":[0.9799518,0.00003546436,0.016954763,0.000045562636,0.0000063400503,0.000030955878,0.00017725941,0.00014708123,0.002650783],"genre_scores_gemma":[0.99357235,0.000040265066,0.0054828576,0.000012384741,0.0000010667171,0.000012883512,0.00009576382,0.000020953608,0.00076144486],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999064,0.000015841753,0.0000036981028,0.00001466455,0.000032946748,0.000026453421],"domain_scores_gemma":[0.9998859,0.000019696297,0.000014904442,0.000012420582,0.000051438597,0.000015537873],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017206515,0.00025430642,0.0001971758,0.00023285794,0.00022491268,0.00046183894,0.00032653572,0.00018453172,0.0013340089],"category_scores_gemma":[0.0003423137,0.000103182974,0.00020977587,0.00024724394,0.00019294182,0.00024956543,0.0002996866,0.00021140446,0.00019509142],"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":[0.0005125013,0.0005166467,0.056075405,0.0002619627,0.00004898032,0.00024415116,0.00033314875,0.55084246,0.30115256,0.0019102109,0.0018774975,0.08622448],"study_design_scores_gemma":[0.0001457986,0.0010020644,0.07864688,0.00003149699,0.00008058586,0.000112753325,0.0005298568,0.7378942,0.1714392,0.0013792231,0.008686051,0.000052018335],"about_ca_topic_score_codex":0.007904748,"about_ca_topic_score_gemma":0.017931245,"teacher_disagreement_score":0.007904748,"about_ca_system_score_codex":0.0006481227,"about_ca_system_score_gemma":0.0006521207,"threshold_uncertainty_score":0.015717447},"labels":[],"label_agreement":null},{"id":"W4407961959","doi":"10.14796/jwmm.s541","title":"Investigating the Potential of Tide- and Wind-Induced Currents for Renewable Energy in Northern Vietnam","year":2025,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Geological and Geophysical Studies","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Viet Nam National University Ho Chi Minh City; Ho Chi Minh City University of Technology and Education","keywords":"Renewable energy; Wind power; Environmental science; Oceanography; Geography; Meteorology; Geology; Engineering; Electrical engineering","score_opus":0.020809837443384438,"score_gpt":0.21473237269881604,"score_spread":0.1939225352554316,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407961959","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":[0.9942129,0.00005137358,0.0017277001,0.00010357202,0.0000044735198,0.000020214786,0.00018767604,0.000025486055,0.003666525],"genre_scores_gemma":[0.998235,0.00006199741,0.00079076143,0.000007096324,0.00000109437,0.000011369423,0.00008056537,0.0000059368845,0.00080620556],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999497,0.0000132039095,0.0000028958925,0.000010958814,0.000007679095,0.000015622996],"domain_scores_gemma":[0.9998216,0.0000798834,0.00002233304,0.0000071209893,0.00003588687,0.00003329985],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019251951,0.00017766989,0.00019265467,0.00034140603,0.00032645196,0.0007881022,0.000251165,0.00026032166,0.0010369769],"category_scores_gemma":[0.00051926676,0.00020035359,0.00028878756,0.00037757744,0.00021373056,0.00047156255,0.0002899269,0.00018310259,0.000092093156],"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":[0.00010618729,0.00015808965,0.22363013,0.000108547676,0.00004659699,0.0012766401,0.0007431741,0.74952966,0.0048368233,0.003001019,0.00064909505,0.015913997],"study_design_scores_gemma":[0.000026432444,0.000066480694,0.05123405,0.000026535696,0.000024451376,0.00008738597,0.0017357633,0.9432122,0.0015126016,0.0007135879,0.0013360991,0.000024398501],"about_ca_topic_score_codex":0.17910582,"about_ca_topic_score_gemma":0.14273685,"teacher_disagreement_score":0.17910582,"about_ca_system_score_codex":0.0011102447,"about_ca_system_score_gemma":0.001711683,"threshold_uncertainty_score":0.3561266},"labels":[],"label_agreement":null},{"id":"W4408539510","doi":"10.14796/jwmm.c542","title":"Agro-ecological Zoning for Crop Suitability using the AquaCrop Model in the Arid Regions of Khuzestan Province, Iran","year":2025,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Soil and Land Suitability Analysis","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Zoning; Arid; Crop; Geography; Agroforestry; Environmental science; Ecology; Forestry; Biology; Engineering","score_opus":0.04178069085509568,"score_gpt":0.2760916235424142,"score_spread":0.2343109326873185,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408539510","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":[0.98226464,0.00012090473,0.009808028,0.00020193198,0.000019933736,0.00005840062,0.0011403358,0.000265388,0.0061204815],"genre_scores_gemma":[0.99250245,0.000085638785,0.0060458616,0.000012171083,0.0000038382177,0.000058353653,0.00051720097,0.000017477505,0.00075699866],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99991846,0.00002296671,0.000004449804,0.000018846535,0.00001164709,0.000023605893],"domain_scores_gemma":[0.9997273,0.00014710307,0.000028461829,0.000011197443,0.00005972838,0.000026170677],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029544148,0.0005705084,0.00037358934,0.00063178636,0.0004947048,0.0005966733,0.00082295004,0.00063763076,0.0021380556],"category_scores_gemma":[0.0006620422,0.00027297917,0.00097385497,0.0006340348,0.00026311737,0.00035052915,0.00044235363,0.00038118887,0.000134301],"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":[0.000050155777,0.000049097147,0.012148863,0.00003004923,0.000021795287,0.00010515543,0.000047796577,0.98325366,0.00056573015,0.0004810505,0.000368568,0.0028781723],"study_design_scores_gemma":[0.000020218231,0.000018383189,0.0025408668,0.000003794215,0.00000978018,0.000013401977,0.00006910498,0.99680066,0.000119651886,0.00013796995,0.00025978987,0.0000062720665],"about_ca_topic_score_codex":0.112047546,"about_ca_topic_score_gemma":0.0726666,"teacher_disagreement_score":0.112047546,"about_ca_system_score_codex":0.0012635227,"about_ca_system_score_gemma":0.0014267205,"threshold_uncertainty_score":0.22279072},"labels":[],"label_agreement":null},{"id":"W4408656463","doi":"10.14796/jwmm.c543","title":"Revised Chlorine Mass Balance for Chlorine Loss Assessment in Water Distribution Networks","year":2025,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Water Systems and Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Kasetsart University","keywords":"Chlorine; Balance (ability); Water balance; Environmental science; Chemistry; Environmental chemistry; Engineering; Medicine; Organic chemistry","score_opus":0.008005249773741369,"score_gpt":0.2235309134238429,"score_spread":0.21552566365010153,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408656463","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":[0.18119057,0.00094133575,0.8029799,0.00056439085,0.00011320492,0.00030555102,0.0014007948,0.00060295605,0.011901324],"genre_scores_gemma":[0.9534231,0.00040687443,0.04127973,0.00009830632,0.000031168758,0.00019557035,0.00065037917,0.00007394899,0.0038410176],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992059,0.00024607274,0.000043986878,0.00011675972,0.00031884538,0.00006847774],"domain_scores_gemma":[0.9992988,0.00022084037,0.000121084995,0.000039080285,0.00029532268,0.00002487081],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013120895,0.0010432915,0.00060375343,0.0014364832,0.00034922326,0.0013884102,0.001102744,0.0010604479,0.0016489523],"category_scores_gemma":[0.0029257552,0.00034661012,0.0008300751,0.00074777316,0.00043183277,0.0019645249,0.0010638138,0.0006135093,0.00022229868],"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":[0.000043613214,0.000020370673,0.0026332303,0.00007167189,0.000031988726,0.00007521063,0.000036142905,0.97174084,0.004693001,0.0041528186,0.00057328027,0.015927803],"study_design_scores_gemma":[0.000009036119,0.00003501663,0.0008313766,0.00001145683,0.000014163875,0.000023906656,0.000018961855,0.9949982,0.0010832291,0.0020346392,0.000928283,0.000011848296],"about_ca_topic_score_codex":0.012192513,"about_ca_topic_score_gemma":0.008429247,"teacher_disagreement_score":0.012192513,"about_ca_system_score_codex":0.0015496572,"about_ca_system_score_gemma":0.0011299757,"threshold_uncertainty_score":0.024243116},"labels":[],"label_agreement":null},{"id":"W4409010181","doi":"10.14796/jwmm.s544","title":"Advanced Survey Techniques for Port Infrastructure Assessment: A Collision Investigation Case Study","year":2025,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Structural Integrity and Reliability Analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Viet Nam National University Ho Chi Minh City; Ho Chi Minh City University of Technology and Education","keywords":"Port (circuit theory); Collision; Computer science; Engineering; Computer security; Electrical engineering","score_opus":0.017807163584956626,"score_gpt":0.2932254372967685,"score_spread":0.2754182737118118,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409010181","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":[0.8307127,0.00027992466,0.15337378,0.0005491926,0.00006147458,0.00077977515,0.0004350581,0.00048392615,0.013324239],"genre_scores_gemma":[0.93278986,0.00022477368,0.063653745,0.00003674404,0.000016828086,0.00014234715,0.00016310193,0.000035375608,0.0029373106],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9982869,0.0006744097,0.00009775077,0.00016341069,0.0005684056,0.00020924558],"domain_scores_gemma":[0.9983796,0.0006653705,0.00014217316,0.0002500734,0.00039860862,0.0001641115],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016497651,0.00070975936,0.00034184518,0.0020399992,0.0013250754,0.0010068015,0.0009462963,0.0013754697,0.0020658034],"category_scores_gemma":[0.0024865686,0.0003271667,0.00055512105,0.0018691977,0.00072314957,0.0009186342,0.0014077948,0.00061831047,0.0005126968],"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":[0.001222378,0.0020109045,0.15304248,0.0010921156,0.0002020866,0.054973073,0.017549353,0.18769076,0.0596381,0.010026145,0.0075851097,0.5049676],"study_design_scores_gemma":[0.00023585683,0.00591499,0.11600038,0.00031520298,0.00032633948,0.031552862,0.04672079,0.63241035,0.08863618,0.0070669013,0.07051148,0.00030872237],"about_ca_topic_score_codex":0.005986615,"about_ca_topic_score_gemma":0.015028823,"teacher_disagreement_score":0.005986615,"about_ca_system_score_codex":0.00077515974,"about_ca_system_score_gemma":0.0009587329,"threshold_uncertainty_score":0.011903524},"labels":[],"label_agreement":null},{"id":"W4409089480","doi":"10.14796/jwmm.s545","title":"Water Quality Assessment of Urban Canals in Ho Chi Minh City, Vietnam: Effectiveness of Renovation Efforts in Minimizing Pollution","year":2025,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Water Quality and Pollution Assessment","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Viet Nam National University Ho Chi Minh City; Ho Chi Minh City University of Technology and Education","keywords":"Ho chi minh; Pollution; Environmental planning; Environmental science; Quality (philosophy); Water resource management; Environmental protection; Environmental engineering; Geography; Cartography; Biology","score_opus":0.035690003718647265,"score_gpt":0.3246483358624964,"score_spread":0.28895833214384914,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409089480","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":[0.99895334,0.00013027698,0.00021798843,0.000025435203,0.0000028378524,0.000041180654,0.000098366836,0.0000059716895,0.0005244461],"genre_scores_gemma":[0.99882287,0.00014064342,0.0005059044,0.000017279575,0.0000016886659,0.000029194858,0.00009482347,0.0000031231652,0.0003844585],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99952865,0.00010335135,0.00003511855,0.00010721667,0.00014337574,0.00008226681],"domain_scores_gemma":[0.999295,0.0000867853,0.00021594793,0.00002924099,0.0002832576,0.000089743626],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005874772,0.00035535186,0.0003660816,0.0006956308,0.00073365256,0.00097318814,0.00033293833,0.0002936577,0.00052850886],"category_scores_gemma":[0.0008014063,0.00019132401,0.00026772596,0.0013080307,0.00055914547,0.0005783764,0.0006019842,0.00021283072,0.00006218306],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018935795,0.00019922249,0.91636205,0.0003584569,0.00010807292,0.00079466373,0.005124947,0.0037718222,0.034559414,0.00024110728,0.00035155387,0.03793939],"study_design_scores_gemma":[0.000019715475,0.0005237849,0.96598667,0.000054285105,0.00010502547,0.00027635478,0.014956057,0.0038731305,0.009315471,0.00010490885,0.0047409646,0.000043688873],"about_ca_topic_score_codex":0.060820956,"about_ca_topic_score_gemma":0.13027143,"teacher_disagreement_score":0.060820956,"about_ca_system_score_codex":0.001707808,"about_ca_system_score_gemma":0.0025438925,"threshold_uncertainty_score":0.12093389},"labels":[],"label_agreement":null},{"id":"W4409554916","doi":"10.14796/jwmm.c546","title":"Rainfall Runoff and Flood Plain Inundation Modeling of the Kharkai River, India using HEC-HMS and HEC-RAS","year":2025,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Flood Risk Assessment and Management","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"HEC-HMS; Flood myth; Hydrology (agriculture); Surface runoff; Environmental science; Floodplain; Geology; Geography; Geotechnical engineering; Cartography; Archaeology; Ecology; Biology","score_opus":0.010163165871119198,"score_gpt":0.22773624357743738,"score_spread":0.21757307770631817,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409554916","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":[0.9689801,0.00012424102,0.018328782,0.00022933335,0.000033725304,0.00007074201,0.0016335265,0.0012315579,0.00936801],"genre_scores_gemma":[0.9927591,0.00008963972,0.0048825224,0.000022417218,0.000009067695,0.00003678463,0.00067015376,0.000032171938,0.0014979923],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998627,0.00003183111,0.0000126547575,0.000025378411,0.000033542852,0.000033917793],"domain_scores_gemma":[0.9998447,0.000049171915,0.0000203464,0.000017301705,0.00005359826,0.000014835957],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022278268,0.0004806538,0.00047550697,0.0006254933,0.0003187043,0.0008113613,0.0008334162,0.0004528556,0.0013256157],"category_scores_gemma":[0.0003638796,0.00029613887,0.0007592602,0.00089424406,0.0002827338,0.0003699268,0.0004051829,0.00044217866,0.00020365909],"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":[0.000039236427,0.000055976194,0.008701256,0.000028075554,0.000027510923,0.00014249067,0.000047394653,0.98445475,0.0012261483,0.0007167279,0.00042969323,0.004130791],"study_design_scores_gemma":[0.000012513859,0.000014275337,0.0055622617,0.0000021936848,0.000010963531,0.000020098132,0.000034567856,0.9934778,0.00036590983,0.00015867116,0.00032966468,0.000011062679],"about_ca_topic_score_codex":0.08144597,"about_ca_topic_score_gemma":0.053356864,"teacher_disagreement_score":0.08144597,"about_ca_system_score_codex":0.00075457536,"about_ca_system_score_gemma":0.0011640132,"threshold_uncertainty_score":0.1619438},"labels":[],"label_agreement":null},{"id":"W4410020138","doi":"10.14796/jwmm.c548","title":"Investigating Nature-based Solutions Potential to Mitigate Urban Pluvial Flooding: A Case Study in Bochum, Germany","year":2025,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Urban Stormwater Management Solutions","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Pluvial; Flooding (psychology); Environmental science; Water resource management; Geography; Geology; Oceanography; Psychology","score_opus":0.018630859992291058,"score_gpt":0.25458043605418357,"score_spread":0.2359495760618925,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410020138","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":[0.99283725,0.00014763547,0.0036048035,0.00016019521,0.000012488591,0.00008606821,0.00014889872,0.000041803487,0.0029607797],"genre_scores_gemma":[0.99659353,0.0001507142,0.0021417283,0.000013296898,0.0000026814516,0.00003256745,0.00007544112,0.0000076823235,0.0009822882],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9996933,0.0001260471,0.000008998731,0.00003227786,0.000049147264,0.0000902549],"domain_scores_gemma":[0.99972063,0.00015005891,0.000023316874,0.000023544077,0.00003595419,0.000046453955],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00054424355,0.000572345,0.00032082087,0.0004858713,0.0006349391,0.00079618575,0.00065996737,0.0010048513,0.0011122137],"category_scores_gemma":[0.0006932991,0.00020234213,0.00048225265,0.00059358485,0.0006431782,0.0006868653,0.0006553556,0.0003998644,0.00010106621],"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":[0.0005279596,0.00091759313,0.026815144,0.0004342355,0.00016502308,0.0039340504,0.0013213869,0.9061409,0.013091124,0.008622856,0.0024418307,0.03558784],"study_design_scores_gemma":[0.00028165852,0.0018583889,0.064849675,0.00015621052,0.00037977102,0.00040305764,0.007600148,0.8907623,0.015576737,0.0045695226,0.013426084,0.00013636233],"about_ca_topic_score_codex":0.046377562,"about_ca_topic_score_gemma":0.07385719,"teacher_disagreement_score":0.046377562,"about_ca_system_score_codex":0.0024708288,"about_ca_system_score_gemma":0.0009918181,"threshold_uncertainty_score":0.09221524},"labels":[],"label_agreement":null},{"id":"W4410224723","doi":"10.14796/jwmm.c547","title":"SWAT Modeling to Assess Water Availability in the Command Area of the Gandak River Basin, India","year":2025,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"SWAT model; Water resource management; Structural basin; Hydrology (agriculture); Environmental science; Drainage basin; Geography; Geology; Cartography; Geomorphology","score_opus":0.026202654386735004,"score_gpt":0.241379246317542,"score_spread":0.21517659193080702,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410224723","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":[0.9644444,0.00017137974,0.026713898,0.00020498954,0.00003020417,0.00007137089,0.0025548893,0.0007817569,0.0050271493],"genre_scores_gemma":[0.99125516,0.00010174529,0.006747049,0.000014525684,0.0000051704533,0.000040813764,0.0009602548,0.0000324188,0.0008427262],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99988115,0.00003482714,0.000011018149,0.000025778192,0.000022163187,0.000025036794],"domain_scores_gemma":[0.99983644,0.000062750165,0.000025439145,0.000016160855,0.000046178528,0.000013071967],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022410974,0.0004992011,0.0002859789,0.00054913573,0.00023034701,0.0005755147,0.0005612845,0.00025072953,0.0007246953],"category_scores_gemma":[0.00042892585,0.00022510428,0.0005572538,0.0010209442,0.00020418015,0.0004749862,0.00031621856,0.0002788138,0.00013747938],"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":[0.000057993555,0.00009048065,0.053797502,0.00006999082,0.000109345434,0.00015714359,0.0001118657,0.92607903,0.002290473,0.0009062281,0.0014943675,0.01483563],"study_design_scores_gemma":[0.000010919138,0.000022982958,0.019833393,0.000004964454,0.00002028506,0.000021979991,0.00009398296,0.9784201,0.00062774244,0.00029114052,0.0006403619,0.000012098678],"about_ca_topic_score_codex":0.106655575,"about_ca_topic_score_gemma":0.10510865,"teacher_disagreement_score":0.106655575,"about_ca_system_score_codex":0.00075297675,"about_ca_system_score_gemma":0.0009425742,"threshold_uncertainty_score":0.21206951},"labels":[],"label_agreement":null},{"id":"W4410340405","doi":"10.14796/jwmm.s549","title":"Developing the IsoProbability Curves of Combination of Rainfall and Water Level for Urban Drainage Infrastructure Planning—A Case Study in Ho Chi Minh City","year":2025,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Flood Risk Assessment and Management","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Viet Nam National University Ho Chi Minh City; Ho Chi Minh City University of Technology and Education","keywords":"Ho chi minh; Drainage; Water resource management; Environmental science; Environmental planning; Hydrology (agriculture); Geography; Geology; Geotechnical engineering; Cartography; Scale (ratio)","score_opus":0.03492833238991976,"score_gpt":0.2929813125495063,"score_spread":0.25805298015958655,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410340405","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":[0.8743441,0.00016159867,0.11687569,0.00017617081,0.0000073474753,0.00021825676,0.00055466784,0.00016570832,0.007496526],"genre_scores_gemma":[0.95993125,0.00009766988,0.03914197,0.0000047279163,0.000003135676,0.00006595893,0.00023834412,0.000020874853,0.00049605395],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993519,0.0003319303,0.00003258243,0.000065509965,0.00012760285,0.00009053688],"domain_scores_gemma":[0.9969056,0.0021864008,0.000252083,0.00015089863,0.00037294842,0.0001321189],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017204046,0.0004991959,0.0003501382,0.0023101114,0.00046362932,0.0011404348,0.00065097347,0.0005267607,0.0009559049],"category_scores_gemma":[0.0043631652,0.0002648707,0.00052526256,0.0026007313,0.00074341166,0.00092927157,0.00091830647,0.00055355264,0.000060850984],"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":[0.00010355995,0.0001162942,0.027989682,0.00014262123,0.00003788468,0.000987524,0.0008858616,0.89387923,0.002286331,0.0203772,0.00063511287,0.05255863],"study_design_scores_gemma":[0.000007211402,0.000063051724,0.010397972,0.00001553177,0.00001341091,0.00009302654,0.0005237104,0.98298645,0.0012645281,0.0034418837,0.0011699073,0.000023400666],"about_ca_topic_score_codex":0.040888116,"about_ca_topic_score_gemma":0.024834665,"teacher_disagreement_score":0.040888116,"about_ca_system_score_codex":0.0022104366,"about_ca_system_score_gemma":0.0012200449,"threshold_uncertainty_score":0.08130026},"labels":[],"label_agreement":null},{"id":"W4410737195","doi":"10.14796/jwmm.s550","title":"Application of the TONIC model to assess the effectiveness of green roofs for a combined sewer network in Thu Duc City","year":2025,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Urban Heat Island Mitigation","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Horizon 2020 Framework Programme; Institut National des Sciences Appliquées de Lyon; European Commission; Viet Nam National University Ho Chi Minh City; Ho Chi Minh City University of Technology and Education; Indian National Science Academy","keywords":"Tonic (physiology); Civil engineering; Architectural engineering; Engineering; Environmental science; Medicine; Internal medicine","score_opus":0.019859017014544393,"score_gpt":0.2528724876120969,"score_spread":0.2330134705975525,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410737195","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":[0.99005216,0.00003009162,0.0039334986,0.000092974136,0.000014929768,0.000053064567,0.00040258572,0.00007511345,0.0053456156],"genre_scores_gemma":[0.9977986,0.00003045337,0.0010987916,0.000009952358,0.0000017229446,0.00002558007,0.00013657653,0.000008501295,0.00088987907],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99985766,0.000044026317,0.0000068008326,0.000027434107,0.00001717577,0.000046873014],"domain_scores_gemma":[0.9996747,0.00014387489,0.00003707653,0.000019965155,0.00006939509,0.000055094817],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031145354,0.0005309193,0.0004233963,0.00038908218,0.00038227442,0.0008729555,0.00055748835,0.00068807567,0.0015383045],"category_scores_gemma":[0.0006513787,0.00025121073,0.0004491035,0.00040257827,0.0004051246,0.000497575,0.0005560571,0.00040430223,0.0000978996],"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":[0.00006277458,0.00007982373,0.0077414033,0.000020048985,0.000010440741,0.00009195991,0.000032995882,0.9889591,0.00079429016,0.0004600154,0.00019116203,0.0015560986],"study_design_scores_gemma":[0.000012780862,0.000076293094,0.001596346,0.000003083356,0.0000070451483,0.000006604868,0.00012480048,0.9975286,0.00038096504,0.00009555144,0.00016262018,0.0000051893894],"about_ca_topic_score_codex":0.08064532,"about_ca_topic_score_gemma":0.05240767,"teacher_disagreement_score":0.08064532,"about_ca_system_score_codex":0.0017079593,"about_ca_system_score_gemma":0.0014303904,"threshold_uncertainty_score":0.16035181},"labels":[],"label_agreement":null},{"id":"W4410983291","doi":"10.14796/jwmm.c551","title":"Modeling Daily Pan Evaporation using a CCNN-GLM Hybrid Model","year":2025,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Air Quality Monitoring and Forecasting","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Evaporation; Environmental science; Statistics; Econometrics; Mathematics; Geography; Meteorology","score_opus":0.04702111447972721,"score_gpt":0.27836074364139873,"score_spread":0.23133962916167153,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410983291","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":[0.5725243,0.0007068955,0.4152992,0.00025766477,0.00012654487,0.00013959446,0.000978944,0.0017887254,0.008178135],"genre_scores_gemma":[0.97709286,0.00014427307,0.020758934,0.00002547166,0.000017057537,0.000093564755,0.000262687,0.00002847947,0.001576765],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998418,0.000028103885,0.000010883562,0.00006282224,0.00003789799,0.000018448545],"domain_scores_gemma":[0.9998405,0.00006012017,0.000021440352,0.000011552465,0.00005895779,0.000007378785],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033509705,0.000712735,0.00048282996,0.0004800272,0.00032220513,0.0005905314,0.00081296905,0.0007387854,0.00087010994],"category_scores_gemma":[0.00063158345,0.00029762372,0.00067209016,0.00069241866,0.0001928995,0.00079452747,0.0003802278,0.00044255523,0.00014225378],"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":[0.000034280893,0.000029795827,0.0030765596,0.00004168721,0.000051934778,0.000044223245,0.000021216218,0.980309,0.0020839549,0.0003918308,0.0002471074,0.0136683835],"study_design_scores_gemma":[0.0000018002899,0.000006619603,0.0005464435,0.0000010906717,0.000004416723,0.0000033785195,0.0000019655565,0.99910694,0.00018649916,0.000074888536,0.00006308033,0.0000028967847],"about_ca_topic_score_codex":0.02734824,"about_ca_topic_score_gemma":0.027802086,"teacher_disagreement_score":0.02734824,"about_ca_system_score_codex":0.0006062961,"about_ca_system_score_gemma":0.00069886877,"threshold_uncertainty_score":0.054378152},"labels":[],"label_agreement":null},{"id":"W4411229897","doi":"10.14796/jwmm.h552","title":"First-Flush Driven Sediment Graph Modeling with Soil Moisture Accounting","year":2025,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Institutes of Health","keywords":"Environmental science; Soil science; Sediment; Water content; Graph; Hydrology (agriculture); Accounting; Geology; Mathematics; Geotechnical engineering; Business; Geomorphology","score_opus":0.007494158040164301,"score_gpt":0.2002104412084601,"score_spread":0.1927162831682958,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411229897","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":[0.35937604,0.0005413205,0.61798906,0.00052714214,0.00015846957,0.000131308,0.002711228,0.0022170548,0.016348414],"genre_scores_gemma":[0.97750604,0.00020692793,0.016611807,0.000042055715,0.000024123496,0.000078036195,0.00058864494,0.00010773093,0.0048345793],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99989605,0.000018149954,0.0000065718104,0.000034038014,0.000020719637,0.00002448192],"domain_scores_gemma":[0.99980026,0.000069825524,0.000041591546,0.000016102458,0.000051271447,0.000020993873],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017039753,0.0006740318,0.00045717056,0.0005850186,0.0003012131,0.00068970653,0.0011854514,0.00083850697,0.0016543895],"category_scores_gemma":[0.00054119027,0.00040117803,0.0008278882,0.0006755057,0.00037629373,0.00069084496,0.0005818864,0.00043861533,0.0001905759],"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":[0.0000057181787,0.0000053985914,0.0004494508,0.0000070974384,0.000005598586,0.000020502695,0.000004379654,0.99667835,0.0002728065,0.0009168267,0.00012253039,0.0015113776],"study_design_scores_gemma":[0.000001779491,0.0000019460413,0.00011301409,6.1352813e-7,0.0000017429503,0.0000026020457,0.000001335574,0.9993311,0.00006246054,0.00034747124,0.0001340525,0.0000018753186],"about_ca_topic_score_codex":0.041198663,"about_ca_topic_score_gemma":0.024740193,"teacher_disagreement_score":0.041198663,"about_ca_system_score_codex":0.00090770103,"about_ca_system_score_gemma":0.0010256628,"threshold_uncertainty_score":0.08191776},"labels":[],"label_agreement":null},{"id":"W4411473359","doi":"10.14796/jwmm.c553","title":"Efficacy of Artificial Neural Network and Adaptive Neuro-Fuzzy Inference System Models in Scour Depth Prediction at Submerged Weirs","year":2025,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Hydraulic flow and structures","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Adaptive neuro fuzzy inference system; Artificial neural network; Soft computing; Weir; Sensitivity (control systems); Predictive modelling; Artificial intelligence; Neuro-fuzzy; Engineering; Computer science; Machine learning; Fuzzy logic; Fuzzy control system","score_opus":0.01700485994004668,"score_gpt":0.21674781081568337,"score_spread":0.19974295087563668,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411473359","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":[0.7775181,0.0012368817,0.21380453,0.00041998923,0.00009062511,0.0000665651,0.00014920067,0.00039611594,0.0063179433],"genre_scores_gemma":[0.9943936,0.00013048176,0.0049202605,0.000015751486,0.000005817227,0.000015170896,0.000031952455,0.0000033811966,0.00048368415],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99965954,0.00010401615,0.000031320138,0.00007647787,0.0000955771,0.000032996908],"domain_scores_gemma":[0.9988405,0.0007397156,0.00015203707,0.000040677507,0.00020005241,0.000027047827],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001077727,0.00072407676,0.000558735,0.0005739672,0.00035030665,0.0010136415,0.0005777524,0.0007938229,0.0006019661],"category_scores_gemma":[0.0027435042,0.00027871755,0.000488796,0.00032651142,0.00030458716,0.0009707341,0.00036900892,0.00068443484,0.00012569106],"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":[0.00011060349,0.00006698263,0.003255159,0.000054777243,0.000040033487,0.000050950555,0.00003702718,0.9720058,0.0012485507,0.00036538718,0.00011373318,0.022651065],"study_design_scores_gemma":[0.000001625769,0.000018445186,0.0004514557,0.000004650141,0.000005313292,0.0000029254772,0.0000069595767,0.999086,0.0002920251,0.000099533696,0.000027587472,0.0000034693126],"about_ca_topic_score_codex":0.019027423,"about_ca_topic_score_gemma":0.013713636,"teacher_disagreement_score":0.019027423,"about_ca_system_score_codex":0.00064508495,"about_ca_system_score_gemma":0.00082754076,"threshold_uncertainty_score":0.037833333},"labels":[],"label_agreement":null},{"id":"W4412202415","doi":"10.14796/jwmm.h554","title":"Assessing Flood Risk Potential using Advanced Statistical and Machine Learning Models in the Lower Gangetic Floodplain Region, India","year":2025,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Flood Risk Assessment and Management","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Floodplain; Flood myth; Statistical learning; Statistical analysis; Environmental science; Statistics; Computer science; Geography; Artificial intelligence; Mathematics; Cartography; Archaeology","score_opus":0.018253802789635454,"score_gpt":0.2555539664296677,"score_spread":0.23730016364003226,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412202415","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":[0.9944178,0.00005209627,0.00378287,0.00015267736,0.0000061812398,0.000015659974,0.0002058097,0.00010868757,0.0012582922],"genre_scores_gemma":[0.9985783,0.000041561478,0.0009139646,0.0000061976016,0.0000029078783,0.0000073674883,0.0001590013,0.000004179254,0.00028653853],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99980587,0.00007155026,0.000013718653,0.000029309835,0.000031827814,0.000047709684],"domain_scores_gemma":[0.9992161,0.0005083572,0.00007886242,0.000035618355,0.00010976741,0.0000512133],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000494665,0.00045688933,0.00029658302,0.0013181241,0.00033081786,0.001096143,0.00053032377,0.00034857998,0.00056985766],"category_scores_gemma":[0.0015237884,0.00017111686,0.0006900444,0.0007836643,0.0003271742,0.00040646325,0.00058686826,0.00042654542,0.000108506654],"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":[0.00014917794,0.000189954,0.17703517,0.000047287303,0.00012113506,0.00047322156,0.00026714665,0.80451393,0.0009828934,0.0012038895,0.0008364978,0.014179705],"study_design_scores_gemma":[0.0000040464033,0.00004769859,0.04664917,0.0000070530837,0.000025383655,0.00005495821,0.00037006303,0.95190233,0.00025771896,0.00048796242,0.0001777192,0.000015855567],"about_ca_topic_score_codex":0.082002975,"about_ca_topic_score_gemma":0.04965645,"teacher_disagreement_score":0.082002975,"about_ca_system_score_codex":0.00084092503,"about_ca_system_score_gemma":0.00080836617,"threshold_uncertainty_score":0.1630513},"labels":[],"label_agreement":null},{"id":"W4412429044","doi":"10.14796/jwmm.c555","title":"Beyond Treatment: Building Pandemic-Resilient Wastewater Systems for Public Health","year":2025,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Healthcare and Environmental Waste Management","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Pandemic; Wastewater; Public health; Coronavirus disease 2019 (COVID-19); Environmental science; Sewage treatment; 2019-20 coronavirus outbreak; Environmental planning; Waste management; Environmental engineering; Medicine; Virology; Engineering; Nursing; Infectious disease (medical specialty)","score_opus":0.06447791484131522,"score_gpt":0.3199709225561172,"score_spread":0.255493007714802,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412429044","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":[0.17424814,0.007921526,0.63614917,0.09828357,0.0011247937,0.0013506807,0.001169064,0.0017132402,0.07803985],"genre_scores_gemma":[0.85608643,0.004621495,0.13068724,0.0027184398,0.00014256618,0.0005525619,0.00040432153,0.00011351775,0.0046734796],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.9984106,0.001007658,0.000057338093,0.00014455088,0.00013826542,0.00024149704],"domain_scores_gemma":[0.9987533,0.00053059217,0.0001516447,0.00016402708,0.0002283114,0.00017201074],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0033269736,0.000734513,0.0005187305,0.0006915478,0.0015652329,0.0036975893,0.0015564049,0.002529352,0.0048216516],"category_scores_gemma":[0.004983662,0.00041670498,0.00090013957,0.0005753685,0.002126358,0.0056253765,0.00513644,0.0016429065,0.0007116158],"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":[0.0002541097,0.00054505427,0.012968431,0.0020385059,0.00021666726,0.00071042526,0.0030979184,0.5036251,0.013811274,0.27268237,0.018944954,0.17110527],"study_design_scores_gemma":[0.00009625697,0.00074462214,0.0041253706,0.0012749508,0.000138945,0.00029275764,0.011342914,0.34406176,0.006901261,0.49433216,0.13650669,0.0001822747],"about_ca_topic_score_codex":0.007515901,"about_ca_topic_score_gemma":0.007828738,"teacher_disagreement_score":0.007515901,"about_ca_system_score_codex":0.0025998831,"about_ca_system_score_gemma":0.0072491965,"threshold_uncertainty_score":0.018863559},"labels":[],"label_agreement":null},{"id":"W4412723633","doi":"10.14796/jwmm.c557","title":"Study of Flow Around Developed Permeable Pile Groyne","year":2025,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Hydrology and Sediment Transport Processes","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Pile; Geotechnical engineering; Geology; Flow (mathematics); Mechanics; Physics","score_opus":0.020637461183505387,"score_gpt":0.24124248322808,"score_spread":0.2206050220445746,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412723633","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":[0.9652201,0.00010812424,0.02726023,0.000081252074,0.000019309424,0.000038489405,0.00019824527,0.00008226271,0.0069920835],"genre_scores_gemma":[0.9968053,0.00007800894,0.0017402321,0.000006625039,0.0000018577696,0.000016068298,0.000071016366,0.000007851127,0.0012728885],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999237,0.000010719345,0.000004236727,0.000023151597,0.000019269537,0.00001878582],"domain_scores_gemma":[0.9998821,0.000029754365,0.000031581483,0.000015299884,0.000024101151,0.000017188086],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009335623,0.00039055638,0.00031111197,0.00037929957,0.00036502373,0.00071231293,0.00049263437,0.0007658456,0.0009203697],"category_scores_gemma":[0.0003334272,0.00021748513,0.00043200777,0.00028325047,0.00060344505,0.00057128246,0.0004535057,0.00029216727,0.00012815316],"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":[0.00006552815,0.000051030212,0.005604821,0.000038348924,0.000013154288,0.0003661691,0.000072947885,0.97249347,0.016009875,0.0019053163,0.0001535138,0.0032257345],"study_design_scores_gemma":[0.0000105887775,0.000060608905,0.0030800474,0.0000063600896,0.000008003341,0.000050869778,0.00007532347,0.9932058,0.002623709,0.0004000577,0.00046276159,0.000015865833],"about_ca_topic_score_codex":0.010155915,"about_ca_topic_score_gemma":0.004925223,"teacher_disagreement_score":0.010155915,"about_ca_system_score_codex":0.00058605365,"about_ca_system_score_gemma":0.00057079643,"threshold_uncertainty_score":0.020193577},"labels":[],"label_agreement":null},{"id":"W4412977071","doi":"10.14796/jwmm.c559","title":"Evaluation of the Impact of Rainfall Increases on Runoff in Urban Watersheds","year":2025,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","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":true,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Surface runoff; Environmental science; Hydrology (agriculture); Low-impact development; Urban runoff; Water resource management; Geography; Stormwater management; Geology; Stormwater; Geotechnical engineering; Ecology","score_opus":0.025982005043809295,"score_gpt":0.2770482458222636,"score_spread":0.2510662407784543,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412977071","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":[0.9915936,0.00005009342,0.007475085,0.000011245835,0.000004168339,0.00005611374,0.00020198432,0.000050181923,0.0005575934],"genre_scores_gemma":[0.9972899,0.0000427861,0.0024142284,0.000003480179,0.0000020005543,0.000021872349,0.0001336174,0.000004936685,0.0000870875],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991466,0.0002977196,0.000055855366,0.00014267696,0.00030180957,0.000055313136],"domain_scores_gemma":[0.9983321,0.0010866933,0.00024671486,0.00010050494,0.00019746115,0.000036556678],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012805314,0.00035758084,0.00034526753,0.0007180014,0.00014645321,0.00047094448,0.00032500178,0.00031788315,0.00045708948],"category_scores_gemma":[0.0022595355,0.00015268446,0.0004503386,0.00080032303,0.00026842166,0.00046351043,0.00039469186,0.00022953386,0.00006902494],"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":[0.0009000687,0.0005588201,0.27370456,0.00038800956,0.0003768476,0.000528211,0.00028364357,0.53200454,0.12074374,0.0005611496,0.00023495924,0.06971559],"study_design_scores_gemma":[0.000025408097,0.002423494,0.46371275,0.000026608925,0.00017373651,0.00021882146,0.00048469202,0.4613295,0.07006751,0.00060532824,0.00087709614,0.00005508179],"about_ca_topic_score_codex":0.0014883144,"about_ca_topic_score_gemma":0.002004245,"teacher_disagreement_score":0.0014883144,"about_ca_system_score_codex":0.00050900754,"about_ca_system_score_gemma":0.00026204437,"threshold_uncertainty_score":0.0067721605},"labels":[],"label_agreement":null},{"id":"W4413075649","doi":"10.14796/jwmm.h556","title":"Prediction of Streamflow in the Brahmani River using GEP, SVM, and MLR Models","year":2025,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Hydrological Forecasting Using AI","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Science and Engineering Research Board; National Institute of Technology Rourkela; Department of Science and Technology, Ministry of Science and Technology, India","keywords":"Streamflow; Mean squared error; Support vector machine; Gene expression programming; Regression; Linear regression; Coefficient of determination; Environmental science; Statistics; Mathematics; Computer science; Machine learning; Geography; Drainage basin","score_opus":0.044768980385900416,"score_gpt":0.23364205176223468,"score_spread":0.18887307137633427,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413075649","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":[0.7299538,0.00056632754,0.26523826,0.000566233,0.00003864013,0.000054049375,0.00042239286,0.00096038444,0.0021998489],"genre_scores_gemma":[0.9719829,0.00018588912,0.026440462,0.000037130092,0.00000955393,0.00004481385,0.00032507282,0.000022740092,0.00095150934],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99973255,0.0000872919,0.00001796429,0.00007689375,0.000050193434,0.00003511198],"domain_scores_gemma":[0.9995353,0.00031355047,0.00005412381,0.000018247416,0.00006697353,0.00001183361],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006087738,0.000599072,0.00058696675,0.00050461316,0.00018512881,0.0007503107,0.00060857163,0.000493761,0.0003216039],"category_scores_gemma":[0.0013018785,0.00021141153,0.0006287444,0.0006446372,0.00024273616,0.0005327239,0.00029699248,0.0007180216,0.00011958968],"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":[0.000074521704,0.000076066564,0.01586988,0.00006190416,0.000059648697,0.00014190073,0.00008311808,0.9354109,0.0033428504,0.0008616413,0.0003494686,0.043668028],"study_design_scores_gemma":[0.0000016340928,0.000015312156,0.0018994309,0.0000026068662,0.0000049829196,0.000011120576,0.000012972401,0.99730206,0.000433964,0.0002322975,0.00007993403,0.0000037411178],"about_ca_topic_score_codex":0.010074952,"about_ca_topic_score_gemma":0.0068777497,"teacher_disagreement_score":0.010074952,"about_ca_system_score_codex":0.0005589835,"about_ca_system_score_gemma":0.00061441894,"threshold_uncertainty_score":0.020032585},"labels":[],"label_agreement":null},{"id":"W4413192656","doi":"10.14796/jwmm.s558","title":"Assessing the Risk of Inundation in Thu Duc City using an Integrated 1D-2D Hydrodynamic Model with a Combination of Boundary Conditions Defined by Probability Analyses","year":2025,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Flood Risk Assessment and Management","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Viet Nam National University Ho Chi Minh City; Ho Chi Minh City University of Technology and Education","keywords":"Boundary (topology); Mathematics; Calculus (dental); Mathematical analysis; Medicine","score_opus":0.034705283385060605,"score_gpt":0.3196720161605774,"score_spread":0.28496673277551676,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413192656","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":[0.93244934,0.00021955783,0.054560788,0.0005743286,0.000058427242,0.00011075885,0.0007667068,0.00020300204,0.011056984],"genre_scores_gemma":[0.9946248,0.000112998576,0.0031432079,0.000028120783,0.000010001046,0.000053170017,0.00014234614,0.000014239996,0.0018711556],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99983275,0.00005384559,0.000008895531,0.00003652051,0.000019929937,0.000048053716],"domain_scores_gemma":[0.9996252,0.00017100597,0.00006639774,0.00001853117,0.000058995258,0.000059883165],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031745888,0.0006097764,0.0005530991,0.00052446936,0.00052442437,0.0015275656,0.0006662497,0.001121779,0.0011060849],"category_scores_gemma":[0.0009170701,0.0005673092,0.00068634935,0.0003753459,0.0006006042,0.0006664733,0.00096270494,0.0005159247,0.00010278682],"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":[0.000014642164,0.000021180284,0.003789325,0.000006666807,0.000012982671,0.00006570303,0.000020830825,0.9943303,0.00020214812,0.00059443363,0.000096694705,0.00084512617],"study_design_scores_gemma":[0.0000053288786,0.0000112526,0.00051951024,0.0000015993465,0.0000047137687,0.0000064645183,0.000021015487,0.9991359,0.000042207575,0.00016221657,0.000085479434,0.000004236313],"about_ca_topic_score_codex":0.08428739,"about_ca_topic_score_gemma":0.035319798,"teacher_disagreement_score":0.08428739,"about_ca_system_score_codex":0.0012869408,"about_ca_system_score_gemma":0.0019041117,"threshold_uncertainty_score":0.1675936},"labels":[],"label_agreement":null},{"id":"W4413637725","doi":"10.14796/jwmm.c560","title":"Comparison of Experimental Hydraulic Coefficients on Fixed and Mobile Bed Materials in Open Channel Flow","year":2025,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Hydrology and Sediment Transport Processes","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Open-channel flow; Channel (broadcasting); Flow (mathematics); Mechanics; Computer science; Materials science; Geology; Physics; Telecommunications","score_opus":0.023638366046413232,"score_gpt":0.29768121836049033,"score_spread":0.2740428523140771,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413637725","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":[0.99899024,0.000047032507,0.0007131012,0.0000031832724,0.000004060366,0.000004197758,0.00006262775,0.000013858596,0.00016168604],"genre_scores_gemma":[0.9991381,0.000046820078,0.00052765146,0.0000033860763,0.0000018739463,0.000008724702,0.000085049556,0.0000041116505,0.00018421862],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997044,0.00003784583,0.00002045773,0.000058301554,0.00011338747,0.00006559897],"domain_scores_gemma":[0.99932885,0.00028973285,0.00009493558,0.000063265215,0.00017147452,0.0000518088],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044320303,0.0002947109,0.00030345935,0.00048178746,0.0002449896,0.00028058418,0.00025636182,0.000313389,0.000748555],"category_scores_gemma":[0.001215396,0.00016740178,0.00021348617,0.00048441533,0.0006225443,0.00049380265,0.00019585276,0.00032419807,0.00008157399],"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":[0.0011589453,0.00025437074,0.015359662,0.0001622704,0.000024785142,0.00011859702,0.0002460208,0.011904598,0.95576817,0.00034762092,0.0001569906,0.014497887],"study_design_scores_gemma":[0.000067927205,0.0019984422,0.09215308,0.000019520283,0.00006827037,0.00007594902,0.0003265969,0.026424685,0.87780535,0.00024258622,0.00075755693,0.000060126873],"about_ca_topic_score_codex":0.0016697851,"about_ca_topic_score_gemma":0.0020446233,"teacher_disagreement_score":0.0016697851,"about_ca_system_score_codex":0.00026447428,"about_ca_system_score_gemma":0.00020731699,"threshold_uncertainty_score":0.003320098},"labels":[],"label_agreement":null},{"id":"W4414006990","doi":"10.14796/jwmm.c561","title":"Prioritization of Tlawng River Basin of Mizoram Based on Erodibility Through Morphometric Analysis using GIS Technique","year":2025,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Groundwater and Watershed Analysis","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Prioritization; Drainage basin; Structural basin; Environmental science; Hydrology (agriculture); Remote sensing; Water resource management; Geology; Geography; Cartography; Geomorphology; Engineering; Geotechnical engineering","score_opus":0.016960816091698375,"score_gpt":0.2534682798750565,"score_spread":0.23650746378335813,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414006990","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":[0.99276525,0.0003264434,0.0041694017,0.00012270405,0.0000068375857,0.00012797491,0.00023561905,0.000051182273,0.0021946658],"genre_scores_gemma":[0.98428303,0.00027356864,0.01423774,0.000020640031,0.0000072174303,0.000054240125,0.00024702025,0.000011424105,0.00086513534],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997199,0.000059152742,0.000033871613,0.000042529315,0.00006906423,0.00007542747],"domain_scores_gemma":[0.9997702,0.000040516275,0.00006670188,0.000010003245,0.00006956833,0.000042861517],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039070868,0.00034802646,0.0003361109,0.0037924047,0.00059354294,0.0010753911,0.00031238672,0.00018784721,0.0012623197],"category_scores_gemma":[0.0007231347,0.0001714582,0.00025459757,0.0021396982,0.00035318462,0.00054157345,0.00073698245,0.00016789173,0.000105431485],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002641023,0.00014050238,0.78902924,0.0005056123,0.00013949184,0.002432006,0.0037919946,0.007858339,0.032999616,0.002992216,0.0014340073,0.15841281],"study_design_scores_gemma":[0.000015612475,0.00016144325,0.9570463,0.000081488324,0.00010487375,0.0006472595,0.012172072,0.015034174,0.004874104,0.0011013437,0.008718855,0.000042566462],"about_ca_topic_score_codex":0.016089499,"about_ca_topic_score_gemma":0.059632827,"teacher_disagreement_score":0.016089499,"about_ca_system_score_codex":0.0007583798,"about_ca_system_score_gemma":0.0013334735,"threshold_uncertainty_score":0.03199172},"labels":[],"label_agreement":null},{"id":"W4414080518","doi":"10.14796/jwmm.c562","title":"Evaluating the Hydrological Performance of a Water Square with 2D Modeling and In Situ Monitoring","year":2025,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Flood Risk Assessment and Management","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"","funders":"Mitacs","keywords":"Surface runoff; Stormwater; Bioretention; Hydrology (agriculture); Infiltration (HVAC); Combined sewer; In situ; Flood myth; Storm Water Management Model; Retention basin","score_opus":0.02949017604285482,"score_gpt":0.2844666725304773,"score_spread":0.2549764964876225,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414080518","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":[0.9737491,0.000036641515,0.022842841,0.00006360934,0.0000121264375,0.00005362066,0.00043398517,0.00032613968,0.002482031],"genre_scores_gemma":[0.9888375,0.00005224759,0.0103233075,0.000011147943,0.0000031050065,0.00003733237,0.00016483365,0.000018520826,0.0005519993],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998241,0.000028981218,0.000010840091,0.000048112455,0.00005045326,0.000037561003],"domain_scores_gemma":[0.9997571,0.00009780356,0.00003382629,0.00004276215,0.00004466953,0.000023771843],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026758102,0.000556837,0.00039652342,0.00038624948,0.00030368453,0.0006612741,0.00055637886,0.0007149868,0.0013523278],"category_scores_gemma":[0.00051777565,0.0002923685,0.00039820795,0.00055265246,0.00036730125,0.00062954734,0.00042761798,0.00031597057,0.0001678855],"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":[0.00011983437,0.00028152068,0.0149265705,0.000055782555,0.000026723901,0.00012345605,0.00012743595,0.92597574,0.042145934,0.00035523766,0.00023783935,0.015623871],"study_design_scores_gemma":[0.000014748086,0.000107116255,0.0044460553,0.000002345456,0.000008806005,0.000013504042,0.000047734517,0.98731065,0.0077001452,0.000085079344,0.00025111504,0.000012584811],"about_ca_topic_score_codex":0.022246847,"about_ca_topic_score_gemma":0.024616068,"teacher_disagreement_score":0.022246847,"about_ca_system_score_codex":0.0007255044,"about_ca_system_score_gemma":0.00077513093,"threshold_uncertainty_score":0.044234693},"labels":[],"label_agreement":null},{"id":"W4415232861","doi":"10.14796/jwmm.c564","title":"Stochastic Modeling of Extreme Dry Spells in Southeast Iran: Patterns, Trends, and Return Periods","year":2025,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Hydrology and Drought Analysis","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Return period; Generalized Pareto distribution; Extreme value theory; Generalized extreme value distribution; Precipitation; Quantile; Estimator; Stochastic modelling","score_opus":0.01916154126361082,"score_gpt":0.22973724554765582,"score_spread":0.21057570428404498,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415232861","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":[0.96245813,0.0003063075,0.03499528,0.0002673196,0.000022246093,0.0000318067,0.00090541184,0.00009096011,0.00092246244],"genre_scores_gemma":[0.9964825,0.00019442456,0.0020741338,0.000013981675,0.000017570648,0.000025560219,0.0006955417,0.000009344632,0.0004868951],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997571,0.000058225,0.000019432735,0.00007213571,0.000038360708,0.000054761476],"domain_scores_gemma":[0.99939036,0.00023326217,0.00022118626,0.000030995056,0.00008442389,0.00003966113],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00091729115,0.00042286288,0.000387099,0.0006629179,0.00026272432,0.00062568503,0.0007472678,0.00042643506,0.00066411967],"category_scores_gemma":[0.0017601043,0.00023841893,0.00068588636,0.0007380202,0.00033728173,0.00039696574,0.00041654074,0.00046472994,0.00010807676],"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":[0.000108059416,0.000083697334,0.24309325,0.000068154885,0.00016096277,0.00048381786,0.00028086425,0.7334127,0.002330857,0.006482904,0.0012649267,0.012229775],"study_design_scores_gemma":[0.0000070689875,0.00002903447,0.045287356,0.000009332256,0.000023645232,0.00006699447,0.0001207112,0.95194936,0.00017414137,0.0017685748,0.00054816273,0.00001559356],"about_ca_topic_score_codex":0.021496745,"about_ca_topic_score_gemma":0.015249188,"teacher_disagreement_score":0.021496745,"about_ca_system_score_codex":0.00053326925,"about_ca_system_score_gemma":0.00058531895,"threshold_uncertainty_score":0.042743266},"labels":[],"label_agreement":null},{"id":"W4415619430","doi":"10.14796/jwmm.c563","title":"Unveiling the Climate Change Impact and Suitability Assessment of CMIP5 and CMIP6 Emission Scenarios for the Mahanadi Reservoir Project Complex, Chhattisgarh","year":2025,"lang":"","type":"article","venue":"Journal of Water Management Modeling","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Institute of Technology, Raipur","keywords":"Downscaling; Coupled model intercomparison project; Representative Concentration Pathways; Precipitation; Climate change; Water cycle; Impact assessment; Evapotranspiration; Climate model","score_opus":0.06007574209223361,"score_gpt":0.3394002289011964,"score_spread":0.2793244868089628,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415619430","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":[0.99036425,0.00017020422,0.0014159987,0.0004688562,0.00003099584,0.0000752569,0.004236961,0.00008190386,0.0031555018],"genre_scores_gemma":[0.99467236,0.00010733125,0.0017875257,0.00003411089,0.000010529207,0.000051518928,0.0030126781,0.000021677528,0.00030222838],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996259,0.0001689869,0.000017357675,0.000035193418,0.00006544087,0.00008711444],"domain_scores_gemma":[0.9994599,0.00024223504,0.000052630818,0.000046304256,0.00013371406,0.000065235356],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010941869,0.00055099593,0.00026110915,0.0007033917,0.00036174592,0.00087828503,0.0006799731,0.0006734488,0.0010631735],"category_scores_gemma":[0.0015616614,0.00023223422,0.0005359588,0.0013349182,0.00023310496,0.0008601754,0.00047550202,0.00056705973,0.0001335753],"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":[0.00058255985,0.00026072003,0.1246322,0.00025876463,0.0003509232,0.0013343527,0.00022942161,0.8294423,0.006295247,0.0031961137,0.00572655,0.027690796],"study_design_scores_gemma":[0.00012288503,0.00012224355,0.13485084,0.000048887418,0.00013673131,0.00009443215,0.0005944571,0.8558983,0.0032418098,0.0014131326,0.003411374,0.000064856846],"about_ca_topic_score_codex":0.069831476,"about_ca_topic_score_gemma":0.067907035,"teacher_disagreement_score":0.069831476,"about_ca_system_score_codex":0.002175674,"about_ca_system_score_gemma":0.0019537422,"threshold_uncertainty_score":0.13885003},"labels":[],"label_agreement":null},{"id":"W4415736232","doi":"10.14796/jwmm.c566","title":"A Numerical Model for Predicting River Meandering in Alluvial Landscape","year":2025,"lang":"","type":"article","venue":"Journal of Water Management Modeling","topic":"Hydrology and Sediment Transport Processes","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Sinuosity; Flood myth; Flooding (psychology); Hydrology (agriculture); Digital elevation model; Alluvium; River delta; River morphology; Alluvial fan","score_opus":0.015925142317408183,"score_gpt":0.23594415509519773,"score_spread":0.22001901277778954,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415736232","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":[0.5692135,0.00071511103,0.40343165,0.0013248695,0.00022317434,0.00016012717,0.0010921427,0.00087025133,0.022969248],"genre_scores_gemma":[0.9768513,0.00024525617,0.018077143,0.000057230496,0.000028948565,0.00012992542,0.00025426425,0.000047190333,0.0043085897],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999136,0.000020079238,0.000007722351,0.000024410027,0.000016300859,0.00001781888],"domain_scores_gemma":[0.9997516,0.00011038634,0.000046842884,0.000016013468,0.000045466197,0.000029736246],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023667,0.00046452845,0.00042923447,0.00037742016,0.00061033195,0.0010336939,0.0009474273,0.0012469717,0.001319078],"category_scores_gemma":[0.0010547768,0.00034951937,0.00059292914,0.0004767042,0.00062092865,0.00070025615,0.0006693224,0.0007191227,0.00019627619],"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":[0.0000046536807,0.000010719017,0.0011487919,0.0000059959193,0.0000046315117,0.000027173208,0.000011979226,0.99635786,0.00030761297,0.0010348547,0.00011073992,0.0009750008],"study_design_scores_gemma":[0.0000019120776,0.0000032488085,0.00014690148,0.0000011023996,0.0000013749082,0.0000031557977,0.0000046070672,0.9994491,0.000032489,0.00024324356,0.00011134781,0.0000016185336],"about_ca_topic_score_codex":0.025622398,"about_ca_topic_score_gemma":0.0154063655,"teacher_disagreement_score":0.025622398,"about_ca_system_score_codex":0.0008874692,"about_ca_system_score_gemma":0.0011155853,"threshold_uncertainty_score":0.050946534},"labels":[],"label_agreement":null},{"id":"W4416121033","doi":"10.14796/jwmm.c567","title":"The Impact of Sediment Deficiency on Riverbed Evolution in Major Mekong Delta Rivers","year":2025,"lang":"","type":"article","venue":"Journal of Water Management Modeling","topic":"Coastal wetland ecosystem dynamics","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Viet Nam National University Ho Chi Minh City; Ho Chi Minh City University of Technology and Education","keywords":"Mekong delta; Mekong river; Delta; Erosion; Sediment; Hydrology (agriculture); Accretion (finance); Chine","score_opus":0.00738481512772963,"score_gpt":0.23070071465661834,"score_spread":0.22331589952888872,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416121033","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":[0.999255,0.000025889733,0.0001332855,0.000045080636,0.0000025027023,0.00000306541,0.000109444816,0.000007769757,0.00041784506],"genre_scores_gemma":[0.99956113,0.000025840254,0.00010130704,0.0000072219677,5.581457e-7,0.0000025138831,0.00009533402,0.0000034803195,0.00020256336],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9998765,0.000030279363,0.000010070569,0.00002359932,0.000011183776,0.000048340393],"domain_scores_gemma":[0.99980694,0.00004939481,0.000032890355,0.000012531627,0.000039806826,0.0000585027],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002618703,0.00033800217,0.00024431804,0.0004668685,0.00046788072,0.0010602155,0.00042073661,0.0004322924,0.0013051777],"category_scores_gemma":[0.0006731681,0.00037561526,0.00043867488,0.00041656478,0.00038851105,0.00049272197,0.0005815468,0.00028203783,0.00007974355],"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":[0.00024621788,0.00018576473,0.41689867,0.00007381611,0.00015250061,0.00074801815,0.00028191018,0.5691418,0.003186219,0.0011088293,0.00066201563,0.007314269],"study_design_scores_gemma":[0.000068883026,0.00023270315,0.23721296,0.000042769992,0.00010397139,0.000146611,0.0013276304,0.75753933,0.0014730032,0.00051552965,0.0012923343,0.000044248944],"about_ca_topic_score_codex":0.15188432,"about_ca_topic_score_gemma":0.1324558,"teacher_disagreement_score":0.15188432,"about_ca_system_score_codex":0.0020631421,"about_ca_system_score_gemma":0.0013762291,"threshold_uncertainty_score":0.30200052},"labels":[],"label_agreement":null},{"id":"W4416287654","doi":"10.14796/jwmm.c565","title":"Recent Advancements in Urban Wastewater Management—Recommendations and Future Directions","year":2025,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Algal biology and biofuel production","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Wastewater; Environmental remediation; Incineration; Industrial wastewater treatment; Population; Sewage treatment; Pollutant","score_opus":0.01317256472616072,"score_gpt":0.24939734438932912,"score_spread":0.2362247796631684,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416287654","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00088226557,0.961044,0.0012846807,0.030707909,0.0022221226,0.000034691577,0.00022581914,0.000083386,0.0035151057],"genre_scores_gemma":[0.0054961345,0.98522896,0.0024113443,0.0042901062,0.0008999285,0.00004920347,0.00023800452,0.000009200835,0.0013771184],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99921083,0.00022862345,0.00012800067,0.0001333493,0.00017852259,0.00012059657],"domain_scores_gemma":[0.9951499,0.001865396,0.0005423264,0.00010280109,0.0018404137,0.0004990666],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0035743297,0.0008249313,0.0011017837,0.0021304574,0.00047671533,0.0026884587,0.0015112832,0.00242385,0.01483638],"category_scores_gemma":[0.004460282,0.0002720633,0.0014682057,0.003457755,0.00072902103,0.0043889578,0.0016905818,0.0024132484,0.0028458715],"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":[0.00016157857,0.00018478984,0.0016045591,0.024413835,0.00013349322,0.0001779681,0.0001635359,0.0015690025,0.0005846473,0.008727848,0.062459137,0.8998196],"study_design_scores_gemma":[0.000040516232,0.00035151583,0.004153288,0.034044705,0.00049748097,0.0004508425,0.0021816283,0.0012480612,0.0005923585,0.01706051,0.93930376,0.000075346],"about_ca_topic_score_codex":0.005366581,"about_ca_topic_score_gemma":0.011314976,"teacher_disagreement_score":0.01483638,"about_ca_system_score_codex":0.0020261519,"about_ca_system_score_gemma":0.009384772,"threshold_uncertainty_score":0.04963261},"labels":[],"label_agreement":null},{"id":"W4416718881","doi":"10.14796/jwmm.c568","title":"Exploration of Potential Groundwater Zones in Nambiyar Watershed, South India using Frequency Ratio and Multi-Influencing Models","year":2025,"lang":"","type":"article","venue":"Journal of Water Management Modeling","topic":"Groundwater and Watershed Analysis","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Groundwater; Lineament; Hydrology (agriculture); Watershed; Drainage; Groundwater resources; Water resources; Topographic Wetness Index","score_opus":0.0302829644736645,"score_gpt":0.24112426700149364,"score_spread":0.21084130252782915,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416718881","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":[0.97231966,0.00014202211,0.025494834,0.0001432369,0.000004458556,0.00002396111,0.00034173948,0.00021512005,0.0013150502],"genre_scores_gemma":[0.9953193,0.00006753298,0.0042653233,0.000004494869,0.0000018364423,0.000007621241,0.00014451456,0.0000057744332,0.000183715],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997799,0.00006875534,0.000016802718,0.00004916451,0.000049780014,0.00003554999],"domain_scores_gemma":[0.99956304,0.00024077532,0.00010042955,0.000024574894,0.00005070855,0.000020389787],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040057767,0.00038869644,0.00024373521,0.0019576,0.000211786,0.00089205534,0.0004941864,0.00031412006,0.0005954422],"category_scores_gemma":[0.0013388768,0.00018667412,0.00078541297,0.001270473,0.00022707411,0.0005814424,0.00050030655,0.0002218443,0.00009811783],"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":[0.00017776527,0.000111284564,0.5571985,0.00011579436,0.00017680055,0.00085733534,0.00047797032,0.37052834,0.004449174,0.0021634856,0.00049026357,0.06325318],"study_design_scores_gemma":[0.0000045421143,0.00006382739,0.095994964,0.000015644813,0.000048622052,0.00031408374,0.00057713804,0.9004455,0.0009645253,0.001025578,0.0005226336,0.000022872351],"about_ca_topic_score_codex":0.022716144,"about_ca_topic_score_gemma":0.019657265,"teacher_disagreement_score":0.022716144,"about_ca_system_score_codex":0.0006141666,"about_ca_system_score_gemma":0.0005724391,"threshold_uncertainty_score":0.045167804},"labels":[],"label_agreement":null},{"id":"W4417326468","doi":"10.14796/jwmm.c569","title":"Simulation of Sustainable Stormwater Drainage Systems in Kuergeng Town Using EPASWMM and Remote Sensing Data","year":2025,"lang":"","type":"article","venue":"Journal of Water Management Modeling","topic":"Groundwater and Watershed Analysis","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Surface runoff; Stormwater; Drainage; Digital elevation model; Hydrology (agriculture); Return period; Flood myth; Flooding (psychology); Drainage system (geomorphology); Geographic information system","score_opus":0.029521121775769134,"score_gpt":0.2669040292529786,"score_spread":0.2373829074772095,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4417326468","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":[0.9937657,0.00003838106,0.003308296,0.000060844606,0.0000134118045,0.000050039675,0.0006773496,0.00010150468,0.0019844722],"genre_scores_gemma":[0.9941964,0.000056435354,0.0045588845,0.000007612716,0.000002369683,0.000053615066,0.00046820342,0.000009935266,0.00064651703],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998267,0.000047796384,0.0000119682445,0.00003115086,0.000024698258,0.000057762085],"domain_scores_gemma":[0.9997619,0.00008527537,0.000027062013,0.00002207604,0.000057565267,0.000046117173],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040286468,0.0004944074,0.0004220478,0.0005970374,0.00049105444,0.0007703919,0.0006849898,0.0008562266,0.0012733774],"category_scores_gemma":[0.00057611236,0.0003299721,0.00084438367,0.0007220299,0.00036718033,0.0005398955,0.0004913496,0.00043268967,0.00012858059],"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":[0.00005192412,0.00008483379,0.011645352,0.000024673918,0.000024019717,0.0002067274,0.000058726295,0.9841223,0.0011067179,0.0003506933,0.00016360298,0.0021604258],"study_design_scores_gemma":[0.00003096213,0.000056976376,0.006175512,0.000009571371,0.00001604685,0.000019921816,0.00022614442,0.99202216,0.0008043919,0.000157191,0.00046776462,0.000013338876],"about_ca_topic_score_codex":0.042433776,"about_ca_topic_score_gemma":0.03999802,"teacher_disagreement_score":0.042433776,"about_ca_system_score_codex":0.0011374549,"about_ca_system_score_gemma":0.0012777628,"threshold_uncertainty_score":0.084373534},"labels":[],"label_agreement":null},{"id":"W56101652","doi":"10.14796/jwmm.r246-17","title":"Analyzing Low Impact Development Strategies Using Continuous Fully Distributed Coupled Groundwater and Surface Water Models","year":2013,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Groundwater flow and contamination studies","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Groundwater; Surface water; Environmental science; Low-impact development; Computer science; Water resource management; Geology; Environmental engineering; Geotechnical engineering; Surface runoff","score_opus":0.017763649027661824,"score_gpt":0.22926579569623606,"score_spread":0.21150214666857425,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W56101652","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":[0.9331193,0.00031552956,0.05376485,0.00058292976,0.000036796402,0.00010101997,0.00085189124,0.00025594237,0.010971756],"genre_scores_gemma":[0.99509335,0.0000875434,0.0034387093,0.00003396079,0.0000063004018,0.00004676352,0.00017329874,0.000018472087,0.0011016652],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999772,0.00007051151,0.000009829805,0.00004435902,0.00003147392,0.00007190902],"domain_scores_gemma":[0.99884987,0.00078122923,0.000117806674,0.00004549898,0.00010342152,0.00010212385],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006405416,0.0007578065,0.0007606496,0.00060273026,0.0003563209,0.0013439397,0.0012158823,0.0012987637,0.0018653692],"category_scores_gemma":[0.0021768296,0.0005807063,0.00073669176,0.0005830653,0.00075531314,0.0010647497,0.00086671946,0.00079061225,0.00011149265],"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":[0.000014332302,0.000019896912,0.0009723253,0.000007398838,0.000011336065,0.000015808637,0.0000056363183,0.9975478,0.00010725675,0.000553294,0.00006016811,0.00068474584],"study_design_scores_gemma":[0.000008529462,0.000010799488,0.00025920675,8.57492e-7,0.0000042576785,0.0000011664995,0.000011567204,0.99924845,0.00004063626,0.00036476704,0.00004724469,0.0000024359488],"about_ca_topic_score_codex":0.08040993,"about_ca_topic_score_gemma":0.04485524,"teacher_disagreement_score":0.08040993,"about_ca_system_score_codex":0.0021876143,"about_ca_system_score_gemma":0.0019917258,"threshold_uncertainty_score":0.1598838},"labels":[],"label_agreement":null},{"id":"W566747533","doi":"10.14796/jwmm.r223-03","title":"A Lifecycle Cost Based Design Optimization Model for Stormwater Management Systems","year":2005,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Water Systems and Optimization","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Stormwater management; System lifecycle; Application lifecycle management; Computer science; Stormwater; Systems engineering; Engineering; Surface runoff","score_opus":0.029434149304012967,"score_gpt":0.21133925203255916,"score_spread":0.18190510272854618,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W566747533","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":[0.008537098,0.00029311804,0.9787133,0.0003297309,0.000031067015,0.00007223938,0.00018192267,0.00013850829,0.011703116],"genre_scores_gemma":[0.6197729,0.0022309439,0.32835323,0.00022316322,0.00009355871,0.0014356775,0.00077768776,0.00028274173,0.0468302],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99963856,0.00010117729,0.000013563696,0.000044744465,0.00016504969,0.000036865516],"domain_scores_gemma":[0.99981564,0.00009429274,0.000028311493,0.000011022535,0.000041013485,0.000009755316],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006743868,0.00088295,0.0008189841,0.0004299181,0.00041600404,0.0012124376,0.0011956231,0.00131897,0.0051549207],"category_scores_gemma":[0.00094398705,0.0005506917,0.0008387911,0.0005736994,0.0004906632,0.0012149452,0.00072644284,0.0012240147,0.00075223297],"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":[0.0000068923705,0.000009088156,0.000049015543,0.000026070964,0.000004759772,0.000013670745,0.000009852191,0.9802461,0.0005100358,0.01515294,0.00030430252,0.003667368],"study_design_scores_gemma":[0.000004825993,0.0000098937335,0.00003120185,0.0000040177274,0.0000034528518,0.0000045184156,0.000002866815,0.99406034,0.00014576566,0.0043724696,0.0013578306,0.0000027164183],"about_ca_topic_score_codex":0.0047720755,"about_ca_topic_score_gemma":0.0053636623,"teacher_disagreement_score":0.0051549207,"about_ca_system_score_codex":0.001374165,"about_ca_system_score_gemma":0.0015523642,"threshold_uncertainty_score":0.017244875},"labels":[],"label_agreement":null},{"id":"W652261525","doi":"10.14796/jwmm.r225-09","title":"A Study on Urban Water Reuse Management Modeling","year":2006,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Wastewater Treatment and Reuse","field":"Environmental Science","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Reuse; Environmental planning; Water resource management; Water resources; Integrated water resources management; Environmental science; Business; Environmental resource management; Engineering; Waste management; Ecology","score_opus":0.018671061734331036,"score_gpt":0.2177153267455186,"score_spread":0.19904426501118758,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W652261525","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":[0.088465795,0.001443984,0.8261253,0.0025039383,0.00007641509,0.00007747579,0.00040400226,0.0003732852,0.080529764],"genre_scores_gemma":[0.8945505,0.0031786703,0.07167235,0.00022696718,0.000094617244,0.00015412844,0.00034793786,0.00015652218,0.029618341],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997625,0.0001022905,0.000008205218,0.000033893575,0.00006517164,0.000027925384],"domain_scores_gemma":[0.99972314,0.00016214683,0.00003100579,0.00002146629,0.000044778477,0.00001746604],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003402812,0.00043314503,0.00039590205,0.00028665806,0.00039135804,0.0009296705,0.0007361131,0.00081597536,0.0034744875],"category_scores_gemma":[0.0011115188,0.00025457086,0.0006980225,0.0008916678,0.00042423786,0.0012815222,0.00060993736,0.00057406374,0.000301733],"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":[0.00000486499,0.000018876515,0.00030104423,0.000023169141,0.0000092375885,0.0000394808,0.000035963523,0.92885137,0.00028456666,0.061535977,0.00063323154,0.008262216],"study_design_scores_gemma":[0.0000019756735,0.000009392346,0.00014605277,0.0000084238945,0.0000034089408,0.0000144275855,0.000021338456,0.9815027,0.00015713395,0.013830967,0.0043004802,0.0000036535573],"about_ca_topic_score_codex":0.016574187,"about_ca_topic_score_gemma":0.009959571,"teacher_disagreement_score":0.016574187,"about_ca_system_score_codex":0.0010289885,"about_ca_system_score_gemma":0.0009668483,"threshold_uncertainty_score":0.032955408},"labels":[],"label_agreement":null},{"id":"W65821788","doi":"10.14796/jwmm.r220-26","title":"Upgrading the Belhar Stormwater System to Combat Pollution of the Kuils River","year":2004,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Urban Stormwater Management Solutions","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Stormwater; Environmental science; Pollution; Stormwater management; Water resource management; Surface runoff; Environmental planning","score_opus":0.01273250365256929,"score_gpt":0.19694681910891612,"score_spread":0.18421431545634684,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W65821788","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":[0.96574813,0.0017605391,0.01449843,0.0011792391,0.000056258563,0.0002497255,0.00020397131,0.00029116124,0.016012525],"genre_scores_gemma":[0.99086857,0.0017138264,0.0049724407,0.000044840843,0.0000072611,0.000046396355,0.00009068627,0.0000106539865,0.0022453878],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99967456,0.00010651855,0.000020743455,0.0000275903,0.00006513603,0.000105364554],"domain_scores_gemma":[0.9998852,0.000021555301,0.000021181771,0.000009419832,0.000045819303,0.000016807486],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044395108,0.0002544762,0.00017301591,0.0005429749,0.0006838132,0.001683683,0.00048495934,0.0003602765,0.0008643027],"category_scores_gemma":[0.00047985977,0.00017041052,0.00026155365,0.00073401415,0.00037043338,0.0010717635,0.00061823474,0.00030095963,0.0001630458],"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":[0.00067379803,0.00049132126,0.06390478,0.0025734524,0.00016624847,0.0018349796,0.0031504596,0.30756778,0.06970106,0.022982182,0.0050207577,0.52193314],"study_design_scores_gemma":[0.00047760713,0.0040936866,0.17510357,0.0012429404,0.000811439,0.0013175723,0.021738697,0.32381666,0.117049895,0.016465804,0.33753103,0.00035113184],"about_ca_topic_score_codex":0.03765786,"about_ca_topic_score_gemma":0.068409465,"teacher_disagreement_score":0.03765786,"about_ca_system_score_codex":0.0015835478,"about_ca_system_score_gemma":0.0027806181,"threshold_uncertainty_score":0.07487732},"labels":[],"label_agreement":null},{"id":"W7115934343","doi":"10.14796/jwmm.c570","title":"Unpacking Hydropower Politics in the Indus and Brahmaputra River Basins","year":2025,"lang":"","type":"article","venue":"Journal of Water Management Modeling","topic":"Transboundary Water Resource Management","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Hydropower; Indus; Politics; Riparian zone; Drainage basin; Vulnerability (computing); Psychological resilience; Resilience (materials science); Political ecology","score_opus":0.019519190462068577,"score_gpt":0.2755573649804153,"score_spread":0.2560381745183467,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7115934343","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":[0.985052,0.00020478423,0.0006962999,0.00044308693,0.0000032402172,0.000007217223,0.000018222947,0.0000024855028,0.013572562],"genre_scores_gemma":[0.9996923,0.00005035106,0.00006438488,0.000008302416,9.585848e-7,0.0000027230117,0.0000028939162,7.4143514e-7,0.00017733245],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","domain_scores_codex":[0.9996025,0.0002129276,0.000009577106,0.0000382549,0.000046373225,0.00009049008],"domain_scores_gemma":[0.9993724,0.00039438883,0.00012701697,0.00003615374,0.000024742189,0.000045243534],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039740436,0.00013219127,0.00018048123,0.0007219301,0.0012285783,0.00252905,0.00027090422,0.00034861127,0.001582553],"category_scores_gemma":[0.0012161158,0.00018169232,0.000099642,0.0013220268,0.0036414496,0.0017182602,0.0021687474,0.00045529637,0.000050150942],"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":[0.0001755978,0.00009355941,0.34972915,0.00022275405,0.00013201253,0.0026761221,0.06613336,0.050154883,0.0038909733,0.4611544,0.0012063172,0.064430796],"study_design_scores_gemma":[0.0000211406,0.00008128805,0.59759533,0.00027680368,0.00007337674,0.0005094754,0.12347436,0.084742285,0.0009741928,0.17599024,0.01619812,0.00006337292],"about_ca_topic_score_codex":0.022893228,"about_ca_topic_score_gemma":0.04299654,"teacher_disagreement_score":0.022893228,"about_ca_system_score_codex":0.002225079,"about_ca_system_score_gemma":0.0015912676,"threshold_uncertainty_score":0.045519948},"labels":[],"label_agreement":null},{"id":"W769173747","doi":"10.14796/jwmm.r236-02","title":"Continuous Model Simulations to Develop a Phased Approach for SSO Control in Piqua, Ohio","year":2010,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Urban Stormwater Management Solutions","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Control (management); Environmental science; Computer science; Artificial intelligence","score_opus":0.020264246858399317,"score_gpt":0.24139817634555688,"score_spread":0.22113392948715757,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W769173747","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":[0.55318373,0.00022369191,0.39122862,0.0008811497,0.00015412677,0.0010394627,0.0034413827,0.0011759397,0.048671946],"genre_scores_gemma":[0.9005848,0.00013021682,0.09325639,0.00007432945,0.000016521664,0.0010962174,0.0008516366,0.000083256076,0.0039065033],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99966645,0.00013800617,0.000018591927,0.00005662477,0.000067501605,0.00005282581],"domain_scores_gemma":[0.9988243,0.00073972787,0.00007319682,0.000057594432,0.00023486867,0.00007025487],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000997837,0.00078655814,0.000693821,0.0005574971,0.0008836936,0.0013239508,0.0015015632,0.001569969,0.0060024606],"category_scores_gemma":[0.0019235922,0.0007381447,0.000898663,0.00054001104,0.000561615,0.0009371217,0.0009347328,0.0012000038,0.0002669226],"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":[0.000014929003,0.000032736938,0.00044100155,0.0000133902495,0.00000602821,0.00002033493,0.000018219474,0.99698985,0.00017776414,0.001084207,0.00012283947,0.0010787258],"study_design_scores_gemma":[0.000016809936,0.00001972023,0.00008880914,0.0000021964988,0.000003065112,0.0000012795432,0.000017523518,0.99893683,0.00009934586,0.00043554822,0.0003755366,0.0000032581088],"about_ca_topic_score_codex":0.054247294,"about_ca_topic_score_gemma":0.044958763,"teacher_disagreement_score":0.054247294,"about_ca_system_score_codex":0.0018961745,"about_ca_system_score_gemma":0.0024489148,"threshold_uncertainty_score":0.10786307},"labels":[],"label_agreement":null},{"id":"W788922288","doi":"10.14796/jwmm.r225-23","title":"Minor Loss Coefficients for Storm Drain Modeling with SWMM","year":2006,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Environmental and Sediment Control","field":"Environmental Science","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Storm Water Management Model; Storm; Minor (academic); Computer science; Environmental science; Meteorology; Stormwater; Surface runoff; Geography","score_opus":0.007270263154563635,"score_gpt":0.18502717021490983,"score_spread":0.1777569070603462,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W788922288","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":[0.121224605,0.0003301724,0.8475269,0.0005018971,0.00035059926,0.00031036205,0.007292994,0.010187804,0.01227467],"genre_scores_gemma":[0.661116,0.0005812765,0.30534136,0.00028010565,0.00012969771,0.00070390356,0.00798268,0.005984253,0.017880658],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999731,0.00006123874,0.000027007909,0.000047402573,0.000088667584,0.0000446624],"domain_scores_gemma":[0.9991875,0.00022072862,0.00006380131,0.00011143859,0.0003745386,0.00004200107],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013862791,0.0008978949,0.00058657135,0.00068218197,0.0006833611,0.0009011406,0.0018282405,0.00074639026,0.0048588626],"category_scores_gemma":[0.0036629795,0.00079521857,0.000992252,0.0012736159,0.00017518108,0.001277453,0.00063026475,0.001616102,0.0019654506],"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":[0.000110406516,0.00011339019,0.008409027,0.00015739202,0.00007239994,0.00015193514,0.00016031854,0.8902715,0.008943804,0.008442902,0.017113501,0.066053435],"study_design_scores_gemma":[0.000034710956,0.000017956785,0.0021306395,0.00001974868,0.000018436713,0.000041531333,0.000023201757,0.9758326,0.0038211632,0.0028630681,0.015162872,0.000034140397],"about_ca_topic_score_codex":0.02832914,"about_ca_topic_score_gemma":0.026269715,"teacher_disagreement_score":0.02832914,"about_ca_system_score_codex":0.0010935283,"about_ca_system_score_gemma":0.0013645549,"threshold_uncertainty_score":0.056328475},"labels":[],"label_agreement":null},{"id":"W934931829","doi":"10.14796/jwmm.r228-23","title":"Determining a Consistent Peak Flow Level of Control for a Wet Weather Management Plan","year":2008,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Urban Stormwater Management Solutions","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Sanitary sewer; Plan (archaeology); Environmental science; Hydrology (agriculture); Meteorology; Weather modification; Engineering; Geography; Environmental engineering; Archaeology; Geotechnical engineering","score_opus":0.09035897171027611,"score_gpt":0.23683342847039063,"score_spread":0.1464744567601145,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W934931829","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":[0.5192548,0.00016587524,0.46350384,0.0013348695,0.000047105765,0.0015122073,0.0007221128,0.00073462195,0.012724511],"genre_scores_gemma":[0.9172444,0.000040957784,0.08187691,0.00008681138,0.00000891373,0.00019302848,0.00021653734,0.000028369303,0.0003041213],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9969206,0.0013495763,0.00021936778,0.0004343182,0.00064458314,0.00043150724],"domain_scores_gemma":[0.9936911,0.002630873,0.0013379628,0.00029847695,0.0016932624,0.00034834427],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006754788,0.00044298297,0.0005554492,0.0014012613,0.00077193585,0.0023395568,0.000848459,0.00058988197,0.0012802875],"category_scores_gemma":[0.021755055,0.0006157051,0.0002530234,0.0008163899,0.0005212874,0.0018557222,0.0008082145,0.0007611865,0.00015842928],"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":[0.0005670578,0.0006366258,0.090993464,0.00018527804,0.00018170294,0.00037120603,0.0011758135,0.73382574,0.008913793,0.025660438,0.006032648,0.1314562],"study_design_scores_gemma":[0.00014811287,0.0006177865,0.032862738,0.000088807355,0.00008115064,0.00006545584,0.0022321187,0.9455426,0.004657282,0.010251029,0.0033935918,0.000059269707],"about_ca_topic_score_codex":0.014040333,"about_ca_topic_score_gemma":0.016508695,"teacher_disagreement_score":0.014040333,"about_ca_system_score_codex":0.0020763879,"about_ca_system_score_gemma":0.0038106889,"threshold_uncertainty_score":0.03572315},"labels":[],"label_agreement":null},{"id":"W940365607","doi":"10.14796/jwmm.r227-16","title":"Reliability of Design Storms used to Size Urban Stormwater System Elements","year":2007,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Flood Risk Assessment and Management","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"University of Guelph; Stantec (Canada)","funders":"","keywords":"Stormwater; Storm; Stormwater management; Reliability (semiconductor); Environmental science; Reliability engineering; Urban design; Meteorology; Computer science; Surface runoff; Civil engineering; Engineering; Geography; Urban planning; Ecology","score_opus":0.020322785959702494,"score_gpt":0.24356363938126904,"score_spread":0.22324085342156655,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W940365607","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":[0.985114,0.000019176674,0.013665068,0.0000074973846,0.000003899304,0.00004799431,0.00030817074,0.00020576167,0.0006285382],"genre_scores_gemma":[0.9940959,0.000015093488,0.005235215,0.000002784633,0.0000011390507,0.000029608402,0.0004310901,0.000025913227,0.00016321159],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99927765,0.00018601055,0.00007087507,0.00016359908,0.00021305845,0.00008877507],"domain_scores_gemma":[0.99700195,0.0015866654,0.00045112034,0.00048343232,0.0004056778,0.00007117311],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012786515,0.00035444344,0.0002781158,0.00052102236,0.00016349697,0.0003593548,0.00035760112,0.00025952718,0.0005586868],"category_scores_gemma":[0.0052717733,0.00025929342,0.0002540871,0.0003936666,0.00023700285,0.00031985185,0.00028922097,0.00017862879,0.0001205473],"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":[0.00057987135,0.00009964951,0.24374002,0.000115859024,0.00008541304,0.00016245579,0.00038790205,0.6525785,0.027978703,0.00065024995,0.00055081234,0.073070616],"study_design_scores_gemma":[0.000082184444,0.00083905796,0.21792959,0.000020970278,0.000074797405,0.00016284738,0.00027501892,0.7137042,0.063313335,0.00069079676,0.0028640402,0.000043227985],"about_ca_topic_score_codex":0.0032290677,"about_ca_topic_score_gemma":0.0058240364,"teacher_disagreement_score":0.0032290677,"about_ca_system_score_codex":0.00080938946,"about_ca_system_score_gemma":0.0004473088,"threshold_uncertainty_score":0.006762266},"labels":[],"label_agreement":null},{"id":"W948022748","doi":"10.14796/jwmm.r223-01","title":"Development and Evaluation of Stormwater Improvement Alternatives","year":2005,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Urban Stormwater Management Solutions","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Stormwater management; Stormwater; Low-impact development; Environmental science; Computer science; Surface runoff","score_opus":0.037073175995970854,"score_gpt":0.25671065743423066,"score_spread":0.2196374814382598,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W948022748","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":[0.18667114,0.0018373629,0.7305289,0.0011427152,0.00014566562,0.0016846606,0.0006720137,0.00034987484,0.076967716],"genre_scores_gemma":[0.6564246,0.0018432761,0.3315567,0.00011902067,0.000023144614,0.00089703203,0.00043472557,0.000058948106,0.0086425245],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99554354,0.0015688069,0.00020976136,0.00023200647,0.0022355367,0.00021047633],"domain_scores_gemma":[0.99809664,0.0008270081,0.0002205114,0.00014278785,0.0006662869,0.00004676637],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0037901662,0.0007693186,0.00047520455,0.0016395849,0.00037473274,0.0014797336,0.00076981477,0.0007261792,0.006583451],"category_scores_gemma":[0.006285978,0.00036362215,0.00051078736,0.0014328026,0.000577623,0.0015921026,0.0007217918,0.0005626034,0.00040278386],"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":[0.0005470137,0.00039205968,0.0022185834,0.0013955117,0.00007312742,0.00022171365,0.00029222414,0.40875503,0.02005807,0.18474549,0.0027872594,0.37851393],"study_design_scores_gemma":[0.00035842418,0.0030239674,0.0028629939,0.00056186493,0.00017023197,0.00017660603,0.001107989,0.71517444,0.06871795,0.12665474,0.08108204,0.00010872022],"about_ca_topic_score_codex":0.0010416846,"about_ca_topic_score_gemma":0.0021230278,"teacher_disagreement_score":0.006583451,"about_ca_system_score_codex":0.0010875002,"about_ca_system_score_gemma":0.0015338939,"threshold_uncertainty_score":0.022023857},"labels":[],"label_agreement":null},{"id":"W951472350","doi":"10.14796/jwmm.r215-02","title":"Overcoming Obstacles in Applying SWMM to Large-Scale Watersheds","year":2003,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Scale (ratio); Computer science; Environmental science; Geography; Cartography","score_opus":0.014624037371371747,"score_gpt":0.22733267138303132,"score_spread":0.21270863401165957,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W951472350","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":[0.22183102,0.00045098443,0.74767804,0.0020602774,0.00037097037,0.0005666947,0.0016443786,0.014726002,0.010671742],"genre_scores_gemma":[0.5168322,0.0003881003,0.47686324,0.00055747136,0.00009560865,0.00065716857,0.001209427,0.0015137285,0.0018831633],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99750227,0.0013462065,0.00024678127,0.0002860251,0.00045119287,0.00016762082],"domain_scores_gemma":[0.9901778,0.005390009,0.000477483,0.0022396652,0.0014082169,0.00030693013],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0060075894,0.00095633947,0.0008729338,0.000689375,0.0011247145,0.0018994379,0.0043442524,0.0011060692,0.0021338083],"category_scores_gemma":[0.021130284,0.0012354095,0.0016535699,0.0013771508,0.0011771288,0.0021690095,0.002904754,0.0020772377,0.0008015029],"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":[0.00015048147,0.00016934132,0.014167104,0.00026278672,0.00027494258,0.00030449798,0.0004675037,0.91829556,0.0035579107,0.016891664,0.0047483398,0.040709924],"study_design_scores_gemma":[0.000053437838,0.000059190414,0.0011491746,0.0000403925,0.000022332764,0.00004978931,0.00014444946,0.9803318,0.002447391,0.0075054253,0.0081724655,0.00002408021],"about_ca_topic_score_codex":0.037556928,"about_ca_topic_score_gemma":0.038545247,"teacher_disagreement_score":0.037556928,"about_ca_system_score_codex":0.0017681195,"about_ca_system_score_gemma":0.0024697422,"threshold_uncertainty_score":0.07467663},"labels":[],"label_agreement":null},{"id":"W951975590","doi":"10.14796/jwmm.r220-06","title":"Fluorescence Spectroscopy as a Screening Tool and Continuous Monitor for Urban Water Quality","year":2004,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Water Quality Monitoring and Analysis","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Western University","funders":"","keywords":"Fluorescence; Water quality; Fluorescence spectroscopy; Environmental science; Environmental chemistry; Spectroscopy; Remote sensing; Analytical Chemistry (journal); Materials science; Chemistry; Ecology; Optics; Geology; Physics; Biology","score_opus":0.027155667713006548,"score_gpt":0.27503110077558474,"score_spread":0.2478754330625782,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W951975590","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":[0.81996685,0.003627514,0.15951096,0.00073891797,0.000046305988,0.00014871302,0.001027311,0.0013449261,0.013588512],"genre_scores_gemma":[0.95935756,0.000972068,0.03615005,0.00007880268,0.000016587332,0.00005184281,0.00021546279,0.000014745511,0.0031429294],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9996519,0.000115697396,0.000007554403,0.00006134934,0.00012272868,0.000040749124],"domain_scores_gemma":[0.9998035,0.000077115124,0.000037335914,0.000014316379,0.00004464528,0.00002313061],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005777301,0.00020729129,0.0001789952,0.00078021275,0.0002537881,0.0003375972,0.00021506975,0.00051756145,0.0009308645],"category_scores_gemma":[0.0004677017,0.00016838826,0.00015465952,0.0006028012,0.00030905264,0.00045732746,0.0002710365,0.00023887468,0.0001777509],"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":[0.0008943023,0.00056316436,0.099124104,0.00033606697,0.00006320813,0.0002535001,0.00022334873,0.019369408,0.58440083,0.004367265,0.0044463337,0.28595838],"study_design_scores_gemma":[0.00014204414,0.0037758285,0.19398256,0.000091753376,0.00019974807,0.0013158384,0.00051729224,0.22674495,0.5290565,0.00690646,0.037055124,0.00021192095],"about_ca_topic_score_codex":0.0048297495,"about_ca_topic_score_gemma":0.007920387,"teacher_disagreement_score":0.0048297495,"about_ca_system_score_codex":0.00058627594,"about_ca_system_score_gemma":0.00036060944,"threshold_uncertainty_score":0.009603322},"labels":[],"label_agreement":null},{"id":"W952964333","doi":"10.14796/jwmm.r245-05","title":"Hydraulic Modeling of Deep Tunnel Provides Cost Savings","year":2012,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Geotechnical Engineering and Analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Plan (archaeology); Agency (philosophy); Environmental science; Engineering; Civil engineering; Geography; Archaeology; Sociology","score_opus":0.01352911849035646,"score_gpt":0.19957096542063832,"score_spread":0.18604184693028186,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W952964333","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":[0.31647366,0.0008919007,0.47814944,0.0021157921,0.00047068065,0.00019263015,0.0051925792,0.0021471484,0.19436616],"genre_scores_gemma":[0.945549,0.00048115014,0.017347056,0.00014516393,0.000055063345,0.00011186601,0.00074698665,0.00021593603,0.035347663],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998264,0.00004319195,0.000007311045,0.000033674325,0.000049082373,0.000040416013],"domain_scores_gemma":[0.9996569,0.00011360093,0.000033365595,0.000035937057,0.00013035806,0.000029788005],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003165902,0.00063377863,0.00065276236,0.00054851477,0.0006876729,0.0012481457,0.00094101735,0.0011954432,0.012788002],"category_scores_gemma":[0.00092113606,0.0004835618,0.00064166955,0.0006416157,0.00040795017,0.0012860561,0.0006456286,0.0005961796,0.0012129535],"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":[0.000014414925,0.000020362218,0.0005425649,0.000013477357,0.000004861422,0.00004864119,0.000013384136,0.9885731,0.00040047627,0.005000808,0.0010726786,0.004295205],"study_design_scores_gemma":[0.0000062499303,0.000011874725,0.00017592714,0.0000043551186,0.000003704367,0.000012513966,0.000014073398,0.9963812,0.00012439319,0.0016905805,0.0015675939,0.0000076813085],"about_ca_topic_score_codex":0.042612363,"about_ca_topic_score_gemma":0.031760324,"teacher_disagreement_score":0.042612363,"about_ca_system_score_codex":0.0011460661,"about_ca_system_score_gemma":0.001975651,"threshold_uncertainty_score":0.08472866},"labels":[],"label_agreement":null},{"id":"W956403614","doi":"10.14796/jwmm.r245-18","title":"Comparison of Different Methods in Calculating CSS Percent Capture","year":2012,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Water Systems and Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; Statistics; Mathematics","score_opus":0.041543624225614785,"score_gpt":0.320453731184427,"score_spread":0.2789101069588122,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W956403614","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":[0.3454746,0.0064436025,0.62742126,0.00027130195,0.00032451557,0.000504311,0.0029404084,0.0034977142,0.013122271],"genre_scores_gemma":[0.5303732,0.002073294,0.4592707,0.00012208014,0.00006789807,0.00050055573,0.0023322501,0.0007031172,0.004556928],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99546045,0.0015336447,0.00033888844,0.00052885164,0.001936915,0.00020123123],"domain_scores_gemma":[0.9879574,0.0074062743,0.0005707292,0.0007169752,0.0032557244,0.00009282929],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0070785466,0.0009789659,0.0008137973,0.0046450854,0.0005097723,0.0011313084,0.0017531669,0.0009785636,0.0023058008],"category_scores_gemma":[0.014088881,0.0005289877,0.0010929127,0.0038066672,0.00026363868,0.00090019614,0.00075406174,0.0005162814,0.0009598205],"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":[0.00266535,0.00043839167,0.092858605,0.0018277542,0.0013618462,0.00013203904,0.00054178614,0.10587737,0.03142717,0.0031006665,0.003658982,0.75611],"study_design_scores_gemma":[0.0002281716,0.0009492905,0.13712245,0.0002812542,0.000938089,0.00042284117,0.00049825624,0.7128835,0.13012302,0.002447651,0.013743,0.00036255032],"about_ca_topic_score_codex":0.012339911,"about_ca_topic_score_gemma":0.020144114,"teacher_disagreement_score":0.012339911,"about_ca_system_score_codex":0.0009951342,"about_ca_system_score_gemma":0.0006119002,"threshold_uncertainty_score":0.037435353},"labels":[],"label_agreement":null},{"id":"W961341346","doi":"10.14796/jwmm.r220-18","title":"Automated Calibration using Optimization Techniques with SWMM RUNOFF","year":2004,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Calibration; Surface runoff; Computer science; Environmental science; Remote sensing; Mathematics; Geology; Statistics; Ecology; Biology","score_opus":0.012871161420549622,"score_gpt":0.2241165401858878,"score_spread":0.2112453787653382,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W961341346","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":[0.080257595,0.00004445747,0.91135263,0.000061747574,0.000018830744,0.0001822028,0.00020316617,0.0058600316,0.0020192964],"genre_scores_gemma":[0.42579332,0.00006139452,0.57085913,0.00004550751,0.000010225066,0.00050600077,0.0003819939,0.0011648396,0.0011776715],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99921405,0.00027533667,0.00005873778,0.00020078236,0.00019164981,0.000059405742],"domain_scores_gemma":[0.99812514,0.0008022756,0.0002591288,0.0003532626,0.0004320344,0.0000281526],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018751106,0.0013524392,0.00078184716,0.0012365415,0.00075899257,0.0009114237,0.00093126413,0.0006657585,0.0027607162],"category_scores_gemma":[0.005612593,0.00077821093,0.00074385846,0.0016063338,0.00032215012,0.00090660766,0.0010750894,0.0010889642,0.0007013986],"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":[0.000088327135,0.00016527541,0.0028162412,0.00008340996,0.000094094874,0.000043703174,0.00021292454,0.822944,0.011030963,0.0015612516,0.0012522519,0.15970753],"study_design_scores_gemma":[0.000028115099,0.00004395365,0.0013268195,0.00000878333,0.000015625204,0.000016270234,0.00003395707,0.98859614,0.0073433714,0.0011558079,0.0014016072,0.000029633593],"about_ca_topic_score_codex":0.013284366,"about_ca_topic_score_gemma":0.012419988,"teacher_disagreement_score":0.013284366,"about_ca_system_score_codex":0.0010273341,"about_ca_system_score_gemma":0.0015084638,"threshold_uncertainty_score":0.026414037},"labels":[],"label_agreement":null},{"id":"W965215134","doi":"10.14796/jwmm.r227-09","title":"Upflow Filtration for the Treatment of Stormwater at Critical Source Areas","year":2007,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Urban Stormwater Management Solutions","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"U.S. Environmental Protection Agency","keywords":"Surface runoff; Stormwater; Urban runoff; Environmental science; Filtration (mathematics); Pollutant; First flush; Water source; Environmental engineering; Water resource management; Hydrology (agriculture); Engineering; Geotechnical engineering; Chemistry; Ecology; Mathematics","score_opus":0.02852163287132716,"score_gpt":0.25653712035358367,"score_spread":0.2280154874822565,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W965215134","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":[0.26944157,0.014083082,0.68835044,0.0011560314,0.0011234643,0.0005478383,0.000697101,0.0027056397,0.021894855],"genre_scores_gemma":[0.8190703,0.01081414,0.14450377,0.0003331377,0.00023710956,0.00020910602,0.00063064747,0.000094301184,0.024107538],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99976224,0.000020462856,0.000010475433,0.000038799397,0.00012681073,0.000041155752],"domain_scores_gemma":[0.9998771,0.000046098383,0.000022494238,0.000008717418,0.00003040801,0.00001520291],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041092178,0.00043698706,0.00041231577,0.0006155071,0.0008266069,0.00065718347,0.00046715254,0.00055346114,0.004506189],"category_scores_gemma":[0.00039979958,0.00015579327,0.0005363219,0.00045371588,0.00028218172,0.0008790378,0.00038467342,0.0005371944,0.0006165689],"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":[0.0003413001,0.000613131,0.004057456,0.00076386594,0.000045958255,0.00021286437,0.00013844403,0.008695491,0.6708573,0.008484167,0.008437252,0.29735267],"study_design_scores_gemma":[0.00006801707,0.0008129561,0.009317575,0.0001245939,0.000116641975,0.0006639721,0.000088168745,0.07538128,0.83400196,0.0040487153,0.07530364,0.0000724641],"about_ca_topic_score_codex":0.0033256887,"about_ca_topic_score_gemma":0.003534388,"teacher_disagreement_score":0.004506189,"about_ca_system_score_codex":0.00071962865,"about_ca_system_score_gemma":0.00059371634,"threshold_uncertainty_score":0.01507473},"labels":[],"label_agreement":null},{"id":"W968495960","doi":"10.14796/jwmm.r236-22","title":"Honduran Imhoff Tanks: Potentials and Pitfalls","year":2010,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Heavy Metal Pollution Remediation","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Environmental science; Economics","score_opus":0.007985154964031837,"score_gpt":0.21102752716041204,"score_spread":0.2030423721963802,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W968495960","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":[0.40224996,0.009658492,0.13154331,0.030688042,0.00066467695,0.00041209726,0.0016405632,0.0032699918,0.4198729],"genre_scores_gemma":[0.90232027,0.004398518,0.045237258,0.00076348,0.00008255175,0.00010803561,0.00042642423,0.00014239526,0.046521086],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99963784,0.00011199319,0.0000118986845,0.00004920583,0.00012743221,0.000061603394],"domain_scores_gemma":[0.99944776,0.00012280454,0.000046720295,0.00008381622,0.00023315323,0.000065706154],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010680569,0.0005568502,0.00027553723,0.0003481592,0.00096797,0.002127117,0.0017054051,0.0009570554,0.008012763],"category_scores_gemma":[0.0011665918,0.00022104326,0.00030467022,0.0008075247,0.0006763097,0.0025101677,0.0009670716,0.00064448116,0.0013794401],"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":[0.0007668421,0.00045301582,0.026134823,0.00074665184,0.00008106549,0.001443652,0.00091571256,0.19586283,0.009523834,0.09224885,0.03648725,0.63533545],"study_design_scores_gemma":[0.00014758742,0.0011454463,0.012450719,0.0005850203,0.00013861356,0.0008134862,0.0061201793,0.46780458,0.016501013,0.055093754,0.43898767,0.00021195387],"about_ca_topic_score_codex":0.07835521,"about_ca_topic_score_gemma":0.15082613,"teacher_disagreement_score":0.07835521,"about_ca_system_score_codex":0.0022845264,"about_ca_system_score_gemma":0.0022914752,"threshold_uncertainty_score":0.15579826},"labels":[],"label_agreement":null},{"id":"W969218633","doi":"10.14796/jwmm.r245-20","title":"Sustainable Development and the Red Sea-Dead Sea Canal Project","year":2012,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Transboundary Water Resource Management","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Dead sea; Oceanography; Geography; Geology","score_opus":0.02968425666452317,"score_gpt":0.2679701945772271,"score_spread":0.23828593791270392,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W969218633","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":[0.08297156,0.0037575925,0.0073909652,0.052055348,0.00055111386,0.00044334304,0.003409718,0.00024521552,0.84917516],"genre_scores_gemma":[0.53884983,0.010639575,0.029295567,0.0031835567,0.00016964499,0.0012677506,0.0046098526,0.00013073017,0.41185346],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9984609,0.0006368062,0.000028172224,0.00005134295,0.0006647596,0.00015799428],"domain_scores_gemma":[0.99878865,0.00034187097,0.000072304225,0.000070139635,0.00044402728,0.0002830922],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025646007,0.00022434982,0.00012256316,0.00062042027,0.0009457974,0.001693859,0.0005696616,0.001231644,0.008260133],"category_scores_gemma":[0.0031806238,0.00010674792,0.00019479883,0.0009238634,0.0008156527,0.0008469094,0.0028307901,0.00075273175,0.0007531209],"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":[0.00018255225,0.00023516851,0.0068099317,0.00027836036,0.000030103129,0.0006154934,0.001330889,0.019521076,0.0004283386,0.47499278,0.2799415,0.2156338],"study_design_scores_gemma":[0.000052560586,0.00017849522,0.0061091515,0.00019540366,0.000012028594,0.00014728798,0.0013888296,0.0071110004,0.0004635703,0.03844053,0.9458698,0.00003138533],"about_ca_topic_score_codex":0.03547592,"about_ca_topic_score_gemma":0.052066073,"teacher_disagreement_score":0.03547592,"about_ca_system_score_codex":0.0027884303,"about_ca_system_score_gemma":0.012374242,"threshold_uncertainty_score":0.07053882},"labels":[],"label_agreement":null},{"id":"W972640662","doi":"10.14796/jwmm.r245-04","title":"Pressure Surges Following Sudden Air Pocket Entrapment in Stormwater Systems","year":2012,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Water Systems and Optimization","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Stormwater; Entrapment; Environmental science; Stormwater management; Surface runoff; Medicine","score_opus":0.010537776601160894,"score_gpt":0.18928853788680478,"score_spread":0.17875076128564388,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W972640662","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":[0.99663615,0.000048439026,0.0013968531,0.000077726305,0.00001975366,0.000023911234,0.00018518687,0.000070311544,0.0015416596],"genre_scores_gemma":[0.9996581,0.000014780405,0.000089724366,0.0000028035856,0.0000038777584,0.0000032489302,0.00007965188,0.0000019924928,0.00014568842],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998629,0.000016385193,0.00000948351,0.0000146409675,0.00004450807,0.000052047857],"domain_scores_gemma":[0.9994498,0.00015440618,0.00017367242,0.00002406809,0.000103359955,0.00009460036],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002614173,0.00015075345,0.0002749308,0.0004498938,0.0003367932,0.00049422245,0.00022442298,0.00040131152,0.002915847],"category_scores_gemma":[0.0017112079,0.00016101493,0.00017381506,0.0004326989,0.00031727215,0.00041702608,0.00052956626,0.00039582208,0.0003044725],"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":[0.0044666626,0.0008698173,0.5145856,0.00054452673,0.00025393727,0.015436933,0.0015419526,0.28790966,0.06619318,0.0054091485,0.007986766,0.0948018],"study_design_scores_gemma":[0.000090114976,0.0011735294,0.64717454,0.00004867271,0.00005908346,0.0009213519,0.0017734863,0.33800045,0.0070179575,0.002421006,0.0012677726,0.000051991807],"about_ca_topic_score_codex":0.007192232,"about_ca_topic_score_gemma":0.006399369,"teacher_disagreement_score":0.007192232,"about_ca_system_score_codex":0.0003738815,"about_ca_system_score_gemma":0.00029690503,"threshold_uncertainty_score":0.014300704},"labels":[],"label_agreement":null},{"id":"W974820036","doi":"10.14796/jwmm.r236-21","title":"High-Rate Stormwater Treatment with Up-Flow Filtration","year":2010,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Urban Stormwater Management Solutions","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Stormwater; Filtration (mathematics); Environmental science; Stormwater management; Surface runoff; Mathematics; Statistics; Biology","score_opus":0.013355744007320001,"score_gpt":0.1996745898629244,"score_spread":0.1863188458556044,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W974820036","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":[0.99805534,0.00013388137,0.0014639378,0.000013634974,0.000011887283,0.000017721868,0.000027009843,0.000014903981,0.000261779],"genre_scores_gemma":[0.99639326,0.00016820621,0.0022043434,0.000028741859,0.000009851525,0.000014789341,0.00005702721,0.000008841206,0.001115011],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99959344,0.000070211616,0.000025245585,0.000073211704,0.0001383796,0.00009957788],"domain_scores_gemma":[0.99981016,0.000057154215,0.00004106966,0.000017833288,0.000054869142,0.000018882902],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005526198,0.00035858294,0.0006920729,0.00024017319,0.00049229024,0.0006986547,0.0002928525,0.0006558798,0.0006361436],"category_scores_gemma":[0.00049232075,0.00018399359,0.0008780637,0.00023723347,0.00031686347,0.0009384334,0.0002531566,0.00055135106,0.00017647906],"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":[0.0004454701,0.0002107838,0.001283766,0.00007775029,0.000019922312,0.000041694355,0.000052542895,0.0011406132,0.9917121,0.000057142952,0.000043750228,0.004914408],"study_design_scores_gemma":[0.000012571672,0.0006121641,0.0031818517,0.0000020089792,0.000018795012,0.000027853544,0.00002834973,0.002464959,0.99340045,0.000014912754,0.00022764198,0.000008525001],"about_ca_topic_score_codex":0.0050811847,"about_ca_topic_score_gemma":0.0034010655,"teacher_disagreement_score":0.0050811847,"about_ca_system_score_codex":0.00063271675,"about_ca_system_score_gemma":0.0004382559,"threshold_uncertainty_score":0.010103226},"labels":[],"label_agreement":null},{"id":"W974850608","doi":"10.14796/jwmm.r241-14","title":"Model Predictive Control with SWMM","year":2011,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Urban Stormwater Management Solutions","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Bundesministerium für Bildung und Forschung","keywords":"Model predictive control; Volume (thermodynamics); Control volume; Computer science; Control (management); Real-time Control System; Mechanics; Artificial intelligence","score_opus":0.02706013566529842,"score_gpt":0.19055747716944202,"score_spread":0.1634973415041436,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W974850608","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":[0.0044386075,0.00032045654,0.9840789,0.00014441492,0.0001590647,0.00005147917,0.00014754635,0.0020025403,0.008656962],"genre_scores_gemma":[0.7627008,0.00063680613,0.21344575,0.00027402147,0.00015973137,0.0005987719,0.0007537391,0.00029473865,0.021135624],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996892,0.000063852276,0.000020472056,0.00006941557,0.00012518288,0.00003184563],"domain_scores_gemma":[0.99966,0.00010680731,0.000038407787,0.000065503045,0.00011754218,0.000011764148],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005260111,0.0008198665,0.0009533818,0.0003675792,0.0004045457,0.0009011268,0.0009704424,0.00078091456,0.006018576],"category_scores_gemma":[0.0011168837,0.00040401382,0.00074440765,0.0006303209,0.00038079516,0.0006223488,0.0010830691,0.0011611693,0.0016332507],"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":[0.000066864435,0.000031655964,0.00020127867,0.000114275186,0.000044505185,0.00004291548,0.000028760647,0.9061707,0.0018557125,0.0055822865,0.001864288,0.08399678],"study_design_scores_gemma":[0.000008991146,0.00002423513,0.000050869574,0.0000058487985,0.0000047049425,0.000004892016,0.0000021508283,0.99544924,0.00050885737,0.0018908923,0.0020455054,0.0000037400803],"about_ca_topic_score_codex":0.009298681,"about_ca_topic_score_gemma":0.007527651,"teacher_disagreement_score":0.009298681,"about_ca_system_score_codex":0.00034128688,"about_ca_system_score_gemma":0.0007630206,"threshold_uncertainty_score":0.020134151},"labels":[],"label_agreement":null},{"id":"W976971633","doi":"10.14796/jwmm.r220-24","title":"The Use of GIS to Determine a Strategy for the Removal of Urban Litter Upper Lotus and Lower Salt River Catchments, Cape Town","year":2004,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Land Use and Ecosystem Services","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Water Research Commission","keywords":"Cape; Lotus; Litter; Environmental science; Hydrology (agriculture); Salt (chemistry); Geography; Archaeology; Geology; Waste management; Engineering; Ecology; Chemistry; Biology","score_opus":0.032317466311679775,"score_gpt":0.22971277945851407,"score_spread":0.19739531314683428,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W976971633","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":[0.9664287,0.000059739803,0.023672704,0.0003670574,0.000012947056,0.00034538013,0.0010082053,0.00059275894,0.0075125587],"genre_scores_gemma":[0.9503618,0.00004255983,0.04812996,0.00002150657,0.0000017469041,0.000107306245,0.0003912091,0.000021064443,0.00092284457],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99984837,0.000047500824,0.000011139787,0.000029329452,0.000036923153,0.000026759326],"domain_scores_gemma":[0.9993863,0.00031888686,0.000062808955,0.000028759105,0.00014551886,0.00005775283],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00051288353,0.00051033014,0.0003103453,0.0011707442,0.00055029575,0.0013883746,0.00042064438,0.00024781722,0.0015234367],"category_scores_gemma":[0.002755601,0.00028708117,0.00021618263,0.00094095507,0.0003227736,0.00049645646,0.00034961253,0.00019472158,0.00016297896],"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":[0.000772396,0.00072821166,0.25016254,0.000310229,0.00018498325,0.0014253464,0.003137735,0.42925835,0.030892298,0.009084872,0.0066732434,0.26736987],"study_design_scores_gemma":[0.00011717064,0.00015012015,0.051542696,0.00004151214,0.00005135044,0.00008000477,0.0019484584,0.935621,0.005914096,0.0014464,0.0030501287,0.00003703398],"about_ca_topic_score_codex":0.121687494,"about_ca_topic_score_gemma":0.1505448,"teacher_disagreement_score":0.121687494,"about_ca_system_score_codex":0.0020356374,"about_ca_system_score_gemma":0.0020630124,"threshold_uncertainty_score":0.24195838},"labels":[],"label_agreement":null},{"id":"W980214827","doi":"10.14796/jwmm.r228-20","title":"Techniques to Assess Rain Gardens as Stormwater Best Management Practices","year":2008,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Urban Stormwater Management Solutions","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Surface runoff; Stormwater; Environmental science; Infiltration (HVAC); Low-impact development; Evapotranspiration; Stormwater management; Hydrology (agriculture); Water resource management; Engineering; Geography; Meteorology","score_opus":0.06736658970704629,"score_gpt":0.28901134068552947,"score_spread":0.22164475097848318,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W980214827","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":[0.1396954,0.00042242292,0.7964155,0.00021973466,0.000072800474,0.0053846342,0.0030195557,0.002532943,0.052237008],"genre_scores_gemma":[0.23092169,0.000418079,0.756903,0.00006472121,0.000010924349,0.0034158512,0.0008230042,0.000121961835,0.0073207924],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99647254,0.00097106094,0.00029110623,0.00030869554,0.0018001545,0.00015636276],"domain_scores_gemma":[0.9929381,0.0023446647,0.0013053908,0.00063509523,0.0026289243,0.00014788863],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0032718156,0.00076753995,0.0005100831,0.00432351,0.0005245501,0.0012820831,0.0009397308,0.00073959125,0.004549706],"category_scores_gemma":[0.011507879,0.0003710229,0.0005742925,0.004108431,0.0004761111,0.0015105014,0.0014486947,0.0009085676,0.0011431315],"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":[0.00038466163,0.0008153307,0.061072893,0.0011404487,0.00016021937,0.00024164638,0.0041041416,0.013841707,0.04766197,0.018086076,0.0061311093,0.8463599],"study_design_scores_gemma":[0.00023978068,0.003242593,0.3197831,0.0008611392,0.00045566732,0.0012054062,0.015046792,0.24573946,0.2036222,0.038515385,0.17083025,0.0004582363],"about_ca_topic_score_codex":0.005571972,"about_ca_topic_score_gemma":0.010747004,"teacher_disagreement_score":0.005571972,"about_ca_system_score_codex":0.00090770534,"about_ca_system_score_gemma":0.0014782309,"threshold_uncertainty_score":0.017303228},"labels":[],"label_agreement":null},{"id":"W983978200","doi":"10.14796/jwmm.r220-20","title":"Implementing a Thermal Urban Runoff Model (TURM)","year":2004,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Water Quality and Resources Studies","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Surface runoff; Stormwater management; Stormwater; Section (typography); Environmental science; Urban runoff; Environmental planning; Water resource management; Civil engineering; Control (management); Hydrology (agriculture); Erosion; Engineering; Business; Computer science; Geology; Geotechnical engineering; Geomorphology","score_opus":0.04386616478763651,"score_gpt":0.2359222472161365,"score_spread":0.19205608242849997,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W983978200","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":[0.41517496,0.00020688951,0.48836014,0.0009857644,0.00031814474,0.0005662048,0.011085023,0.011741176,0.07156169],"genre_scores_gemma":[0.84076756,0.00012930509,0.1408463,0.00011841127,0.000033618075,0.00040092162,0.0031344416,0.00068356935,0.013885879],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998136,0.000055924113,0.000008330209,0.000044484234,0.000045118788,0.000032477798],"domain_scores_gemma":[0.99974245,0.00006670989,0.000020042879,0.0000387411,0.000106430634,0.000025592484],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004247129,0.0004032191,0.00044631367,0.00024510667,0.0005007314,0.0008418787,0.0012631471,0.00085286406,0.0052330224],"category_scores_gemma":[0.0009940218,0.0003879766,0.00060089276,0.0004963923,0.00019691503,0.00056546135,0.0005611617,0.0007734848,0.0009969282],"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":[0.000032440796,0.000038283004,0.0011410821,0.00002107553,0.000019153142,0.000021528502,0.000021104857,0.9877024,0.0005576719,0.002302427,0.0020124274,0.0061303033],"study_design_scores_gemma":[0.000016340146,0.0000113846545,0.00019982643,0.0000022988784,0.0000056303115,0.0000038588914,0.000008536191,0.99761045,0.0003152601,0.00040186578,0.0014189378,0.000005710191],"about_ca_topic_score_codex":0.043656,"about_ca_topic_score_gemma":0.03670279,"teacher_disagreement_score":0.043656,"about_ca_system_score_codex":0.0007091181,"about_ca_system_score_gemma":0.0014989874,"threshold_uncertainty_score":0.086803794},"labels":[],"label_agreement":null},{"id":"W984516321","doi":"10.14796/jwmm.r208-03","title":"Modeling Urban Hydrological Processes and Management Scenarios at Different Temporal and Spatial Scales","year":2002,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Flood Risk Assessment and Management","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"European Commission","keywords":"Urbanization; Flood myth; Water cycle; Environmental science; Temporal scales; Hydrology (agriculture); Environmental resource management; Geography; Geology; Ecology; Geotechnical engineering","score_opus":0.019184012330114512,"score_gpt":0.21174187614379286,"score_spread":0.19255786381367834,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W984516321","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":[0.90687937,0.0004763447,0.079192825,0.0013963713,0.000088833745,0.00015288904,0.001775076,0.00031435932,0.009723791],"genre_scores_gemma":[0.98376936,0.00034428205,0.01334376,0.00005294015,0.000022430895,0.000100139725,0.0006145758,0.00002567789,0.0017268247],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99974424,0.000119698205,0.000013302324,0.00004431035,0.000025693822,0.000052693358],"domain_scores_gemma":[0.9992748,0.00050197035,0.00007282541,0.000042872074,0.00006049888,0.000047085407],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009181013,0.00059375906,0.00042313564,0.000484652,0.0005119816,0.0009468447,0.0009363318,0.0013543965,0.0018996557],"category_scores_gemma":[0.0015789948,0.0004335098,0.0007936694,0.001048296,0.00051523006,0.0012530915,0.00069181836,0.0009424651,0.00016105318],"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":[0.000019858722,0.00003411962,0.0011610398,0.000013893112,0.000016250964,0.00001674171,0.00001948376,0.9962296,0.00012225746,0.0010706236,0.000117817646,0.0011783455],"study_design_scores_gemma":[0.000014178061,0.000022033757,0.0005793311,0.0000027443962,0.000012380851,0.0000074175064,0.000042986612,0.9964594,0.00020350171,0.0024136151,0.00023642364,0.0000059528284],"about_ca_topic_score_codex":0.01838451,"about_ca_topic_score_gemma":0.02171245,"teacher_disagreement_score":0.01838451,"about_ca_system_score_codex":0.0012217596,"about_ca_system_score_gemma":0.00078451156,"threshold_uncertainty_score":0.036554992},"labels":[],"label_agreement":null},{"id":"W988791402","doi":"10.14796/jwmm.r236-26","title":"Identifying a Representative Year of Precipitation in Support of a Wet Weather Plan","year":2010,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"demographic modeling and climate adaptation","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Baseline (sea); Precipitation; Duration (music); Plan (archaeology); Environmental science; Meteorology; Climatology; Geography; Geology; Oceanography","score_opus":0.1221230309108972,"score_gpt":0.37610910339155784,"score_spread":0.25398607248066063,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W988791402","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":[0.9344577,0.00007566717,0.038032293,0.00018468958,0.000035825156,0.00040460235,0.015217027,0.00053513155,0.011057054],"genre_scores_gemma":[0.9581059,0.00012077968,0.030700536,0.000034794964,0.000019267516,0.00020402546,0.009466401,0.000024863637,0.001323385],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999869,0.000032885502,0.000010860963,0.000028962682,0.000023373546,0.000034958393],"domain_scores_gemma":[0.99966407,0.0000582853,0.000079825964,0.00003812657,0.000101531914,0.00005820021],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039265837,0.00012656156,0.00019822048,0.00076675956,0.0003115851,0.0004744654,0.00028460802,0.00028551414,0.0015754978],"category_scores_gemma":[0.001139222,0.00009155343,0.00018841638,0.0009850538,0.0001050839,0.00025923585,0.00028851978,0.0001811001,0.00031498884],"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":[0.00044637566,0.00025105974,0.6843234,0.00019653917,0.00015376715,0.00092568365,0.0011134357,0.16998918,0.006572931,0.005830579,0.02018834,0.11000878],"study_design_scores_gemma":[0.000062053,0.00017234823,0.6399403,0.000045274464,0.000058177266,0.0002345832,0.0020394437,0.32369307,0.0038883619,0.001925434,0.02789708,0.000043820044],"about_ca_topic_score_codex":0.021446642,"about_ca_topic_score_gemma":0.03568865,"teacher_disagreement_score":0.021446642,"about_ca_system_score_codex":0.00040042208,"about_ca_system_score_gemma":0.0007178153,"threshold_uncertainty_score":0.042643607},"labels":[],"label_agreement":null},{"id":"W990845396","doi":"10.14796/jwmm.r235-12","title":"Revising a Combined Sewer System Design for Improved Results","year":2009,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Urban Stormwater Management Solutions","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Sanitary sewer; Civil engineering; Flooding (psychology); Combined sewer; Environmental science; Engineering; Water resource management; Construction engineering; Environmental engineering; Stormwater","score_opus":0.029408587836932024,"score_gpt":0.22957426285577884,"score_spread":0.2001656750188468,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W990845396","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":[0.1389372,0.00009587681,0.84838134,0.00020857372,0.00014213931,0.00035826513,0.00018593969,0.003519168,0.008171436],"genre_scores_gemma":[0.6756632,0.00004931372,0.3174672,0.00007281106,0.000029566216,0.00042195467,0.0001845599,0.00042550976,0.005685905],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99894315,0.00025087953,0.00006497072,0.00020038556,0.00044352267,0.00009711309],"domain_scores_gemma":[0.9984072,0.00030514124,0.000064820415,0.00024793216,0.00091024366,0.0000646758],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010808335,0.0007683471,0.0010285964,0.0005309023,0.00078310585,0.0019707407,0.0017230667,0.0012458848,0.007728218],"category_scores_gemma":[0.0023147804,0.0007432307,0.00076832186,0.00047945304,0.00036112638,0.0014754463,0.0009026328,0.0010742121,0.001691762],"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":[0.0014024883,0.00067536917,0.007911559,0.00044057833,0.00023594651,0.0003292841,0.0003204545,0.5781959,0.15667823,0.0058435206,0.0051091877,0.2428575],"study_design_scores_gemma":[0.00023938331,0.00070534693,0.0018532188,0.000020148436,0.0001139279,0.00007974898,0.00007448382,0.94915855,0.037582967,0.0012271611,0.008897393,0.000047742975],"about_ca_topic_score_codex":0.0034491448,"about_ca_topic_score_gemma":0.0055633737,"teacher_disagreement_score":0.007728218,"about_ca_system_score_codex":0.0007605271,"about_ca_system_score_gemma":0.0015707959,"threshold_uncertainty_score":0.025853455},"labels":[],"label_agreement":null},{"id":"W999562251","doi":"10.14796/jwmm.r215-19","title":"Study of Decomposition of Grass and Leaves","year":2003,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Soil erosion and sediment transport","field":"Agricultural and Biological Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Decomposition; Botany; Biology; Ecology","score_opus":0.031544231918982396,"score_gpt":0.24011117508865235,"score_spread":0.20856694316966995,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W999562251","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":[0.9971892,0.00057889015,0.00091179536,0.000011967665,0.000005250416,0.000016964914,0.00015132321,0.0000064509204,0.0011282264],"genre_scores_gemma":[0.9930482,0.0007063473,0.002430462,0.000053622956,0.000009865842,0.000028110182,0.00063233706,0.000014921176,0.0030762518],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9999,0.0000071449285,0.000003397479,0.0000304025,0.000023212333,0.000035738954],"domain_scores_gemma":[0.9999013,0.0000118349735,0.00001651322,0.000005001723,0.00003214577,0.000033111573],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017463256,0.00025059356,0.00022215376,0.0003404232,0.00040197102,0.00024636553,0.00012661998,0.0001570168,0.0006181971],"category_scores_gemma":[0.00013866031,0.00011336208,0.00023658878,0.00019070458,0.00013127142,0.00024194985,0.0001491024,0.00033710303,0.00019107116],"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":[0.00022404402,0.00008717218,0.019774022,0.00009452214,0.000016030595,0.00010666267,0.00019111377,0.00045029828,0.9667117,0.00022775088,0.000110135756,0.012006649],"study_design_scores_gemma":[0.000045521534,0.0013015724,0.66729134,0.000049471255,0.00003735615,0.000544202,0.00062512065,0.0111780735,0.31034788,0.0005530822,0.008002223,0.00002420981],"about_ca_topic_score_codex":0.008739413,"about_ca_topic_score_gemma":0.009852349,"teacher_disagreement_score":0.008739413,"about_ca_system_score_codex":0.00039589885,"about_ca_system_score_gemma":0.0004044073,"threshold_uncertainty_score":0.017377079},"labels":[],"label_agreement":null}]}