{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":333,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":333,"direct_label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline (scores rank; they never assert a category)","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12"},"query_hash":"595c252e5363","filters":{"venue":"Geoscientific model development"}},"results":[{"id":"W2962764966","doi":"10.5194/gmd-12-4823-2019","title":"The Canadian Earth System Model version 5 (CanESM5.0.3)","year":2019,"lang":"en","type":"article","venue":"Geoscientific model development","topic":"Climate variability and models","field":"Environmental Science","cited_by":1307,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true},"ca_institutions":"University of Victoria; Fisheries and Oceans Canada; Environment and Climate Change Canada","funders":"Environment and Climate Change Canada","keywords":"Centennial; Climate model; Climatology; Coupled model intercomparison project; Climate sensitivity; Environmental science; Forcing (mathematics); Earth system science; Meteorology; Scale (ratio); Atmosphere (unit); Stability (learning theory); Climate change; Computer science; Geology; Geography; Oceanography","retraction":null,"screen_n_in":null,"score":{"opus":0.01390174246127931,"gpt":0.1877388983325508,"spread":0.1738371558712715,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00141598,0.0001901051,0.0001421736,0.00006478834,0.001593165,0.000212223,0.0005676492,0.0001025366,0.0004374922],"category_scores_gemma":[0.00001264862,0.0001437273,0.00005678549,0.0002537259,0.0001582852,0.0001995516,0.0003290266,0.0001484676,0.005873369],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001165914,"about_ca_system_score_gemma":0.000516723,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01936805,"about_ca_topic_score_gemma":0.1949335,"domain_scores_codex":[0.9975349,0.00003797017,0.0003279409,0.0006483943,0.0007121552,0.0007386205],"domain_scores_gemma":[0.998851,0.00002820148,0.00006953875,0.0006797674,0.00002866032,0.0003428138],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001388324,0.00003066485,0.001917312,0.00002687451,0.000008192089,0.000002151032,0.001362638,0.9845169,0.001109762,0.003226383,0.00579979,0.001985441],"study_design_scores_gemma":[0.0001573735,0.000004718227,0.0008691073,0.00001704999,0.000004668646,0.000002878473,0.0001053869,0.9411247,0.0002086939,0.0002832185,0.05701356,0.0002086403],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9210976,0.00001158409,0.007031058,0.0003329511,0.0009796813,0.0006697393,0.00004502061,0.00008703041,0.06974533],"genre_scores_gemma":[0.9469531,0.000003645441,0.005738412,0.0001501411,0.000006142073,0.00004087238,0.00004439662,0.00001579739,0.04704751],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1755655,"threshold_uncertainty_score":0.9997066,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2537682884","doi":"10.5194/gmd-10-4321-2017","title":"Assessing the impacts of 1.5 °C global warming – simulation protocol of the Inter-Sectoral Impact Model Intercomparison Project (ISIMIP2b)","year":2017,"lang":"en","type":"article","venue":"Geoscientific model development","topic":"Climate variability and models","field":"Environmental Science","cited_by":675,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of British Columbia; Dalhousie University","funders":"National Key Research and Development Program of China; State Key Laboratory of Urban and Regional Ecology; Bundesministerium für Bildung und Forschung; European Commission; Leibniz-Gemeinschaft; Department for Environment, Food and Rural Affairs, UK Government; Agence Nationale de la Recherche; Met Office; Bundesministerium für Umwelt, Naturschutz, Bau und Reaktorsicherheit; National Science Foundation","keywords":"Coupled model intercomparison project; Representative Concentration Pathways; Global warming; Greenhouse gas; Environmental science; Climate change; Computable general equilibrium; United Nations Framework Convention on Climate Change; Climatology; Climate model; Global temperature; Global-warming potential; Kyoto Protocol; Environmental resource management; Natural resource economics; Economics","retraction":null,"screen_n_in":null,"score":{"opus":0.09411830489857977,"gpt":0.3986788620770514,"spread":0.3045605571784717,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001726619,0.0002344957,0.0002689073,0.0000314977,0.0008557748,0.0003191321,0.001215598,0.00008392505,0.00005524325],"category_scores_gemma":[0.000181168,0.0001325649,0.0001678848,0.0002048086,0.0005438811,0.000773755,0.001322076,0.0001547323,0.000006699519],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006556415,"about_ca_system_score_gemma":0.0003983189,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001297382,"about_ca_topic_score_gemma":0.0008593279,"domain_scores_codex":[0.997613,0.00009690534,0.000687999,0.0004787812,0.000702209,0.0004211264],"domain_scores_gemma":[0.9979578,0.00004249312,0.0007240037,0.001142229,0.00006198179,0.00007152715],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003944516,0.0001880767,0.1015319,0.00006166376,0.00001484972,1.626423e-7,0.002260669,0.8875182,0.003951206,0.00003434804,0.0002017502,0.004197772],"study_design_scores_gemma":[0.000296403,0.00001550327,0.08180533,0.0001145124,0.00001342523,0.000001067107,0.00008123174,0.9145062,0.002114946,0.0008108524,0.00009354042,0.0001470023],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8734036,9.935808e-7,0.1126771,0.00006075571,0.0001783346,0.01263298,0.00003529852,0.00001734117,0.0009936397],"genre_scores_gemma":[0.9918116,1.471414e-7,0.006348726,0.00001952785,0.000007251618,0.001674947,0.000004799781,0.00001119103,0.0001218508],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.118408,"threshold_uncertainty_score":0.6582014,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2538117061","doi":"10.5194/gmd-9-3685-2016","title":"The Detection and Attribution Model Intercomparison Project (DAMIP v1.0)contribution to CMIP6","year":2016,"lang":"en","type":"article","venue":"Geoscientific model development","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":606,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Victoria; Environment and Climate Change Canada","funders":"Natural Environment Research Council; Sight Research UK","keywords":"Forcing (mathematics); Coupled model intercomparison project; Climatology; Environmental science; Climate change; Climate model; Attribution; Radiative forcing; Meteorology; Atmospheric sciences; Geography; Geology","retraction":null,"screen_n_in":null,"score":{"opus":0.01427867853728432,"gpt":0.2189806772712126,"spread":0.2047019987339282,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007237456,0.0002138081,0.0001360112,0.00001971261,0.0009986423,0.000096012,0.0002513227,0.0000807017,0.00002294519],"category_scores_gemma":[0.00003133465,0.0001312241,0.00003832732,0.0002332893,0.0002527514,0.0002527909,0.0005049848,0.00008640487,0.000239978],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001047638,"about_ca_system_score_gemma":0.00003058601,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005791809,"about_ca_topic_score_gemma":0.0004353753,"domain_scores_codex":[0.9979841,0.00003994866,0.0003464743,0.00062294,0.0004732123,0.0005333478],"domain_scores_gemma":[0.9994048,0.00002468877,0.0000944591,0.0003055491,0.00001490493,0.0001555332],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001621754,0.0001577294,0.01098776,0.000007978299,0.0000252911,0.000001463997,0.001328459,0.2953459,0.05807239,0.0005902469,0.001460238,0.6318604],"study_design_scores_gemma":[0.0003252183,0.00003493523,0.02417325,0.00002086051,0.00001006142,0.000005224384,0.00005845317,0.9330619,0.002795715,0.0005746902,0.03863619,0.0003035263],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4309529,0.00001285723,0.5681766,0.0001997543,0.0001590585,0.0003350354,0.000005191193,0.00003601913,0.0001225767],"genre_scores_gemma":[0.9661596,0.00004153484,0.02661151,0.00008758052,0.00001052414,0.000148451,0.000007790362,0.00001530047,0.006917729],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.637716,"threshold_uncertainty_score":0.768085,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2416755734","doi":"10.5194/gmd-10-2247-2017","title":"Solar forcing for CMIP6 (v3.2)","year":2017,"lang":"en","type":"article","venue":"Geoscientific model development","topic":"Atmospheric Ozone and Climate","field":"Earth and Planetary Sciences","cited_by":538,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Université de Montréal","funders":"Scheme for Promotion of Academic and Research Collaboration; Bundesministerium für Bildung und Forschung; Academy of Finland; Science and Technology Facilities Council; European Commission; National Oceanic and Atmospheric Administration; Sight Research UK; Natural Environment Research Council; Met Office; Department for Environment, Food and Rural Affairs, UK Government; National Science Foundation","keywords":"Forcing (mathematics); Solar irradiance; Radiative forcing; Cloud forcing; Environmental science; Climatology; Atmospheric sciences; Solar cycle; Irradiance; Meteorology; Physics; Solar wind; Geology","retraction":null,"screen_n_in":null,"score":{"opus":0.04044651821343598,"gpt":0.2454262586038277,"spread":0.2049797403903918,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0006672803,0.0001579344,0.0001676018,0.00001922084,0.002353631,0.0004656672,0.0005676087,0.00006003704,0.0003416524],"category_scores_gemma":[0.00004926868,0.0001337369,0.00006728528,0.00004684688,0.0000990502,0.0003579777,0.00005184236,0.00006616145,0.0004111486],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001055253,"about_ca_system_score_gemma":0.0002121108,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003036988,"about_ca_topic_score_gemma":0.001543824,"domain_scores_codex":[0.9984068,0.000008565714,0.0002677153,0.0004651534,0.0003019799,0.0005498263],"domain_scores_gemma":[0.9990896,0.00002484062,0.0001600095,0.0005070526,0.00006752574,0.0001509767],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00007588765,0.0000568939,0.1013919,0.0001241119,0.00005785755,0.00001149852,0.002163048,0.03383386,0.0001667152,0.0003618309,0.01506166,0.8466947],"study_design_scores_gemma":[0.0004615668,0.00002455439,0.09950325,0.00002996642,0.00001528878,0.000003843139,0.0001841222,0.8220869,0.0007836412,0.002332936,0.07416698,0.0004068947],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6859659,0.0001288981,0.2971084,0.0003356173,0.002231771,0.0005627134,0.000126255,0.0001519426,0.0133885],"genre_scores_gemma":[0.874623,0.00001367394,0.1108095,0.0001707073,0.0000587101,0.00001421176,0.0001433669,0.000009689408,0.0141571],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8462878,"threshold_uncertainty_score":0.9989452,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2142306678","doi":"10.5194/gmd-6-179-2013","title":"The Atmospheric Chemistry and Climate Model Intercomparison Project (ACCMIP): overview and description of models, simulations and climate diagnostics","year":2013,"lang":"en","type":"article","venue":"Geoscientific model development","topic":"Atmospheric chemistry and aerosols","field":"Earth and Planetary Sciences","cited_by":512,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Environment and Climate Change Canada","funders":"SLAC National Accelerator Laboratory; Leibniz-Rechenzentrum; Leibniz-Gemeinschaft; Office of Science; Grand Équipement National De Calcul Intensif; Deutsches Klimarechenzentrum; Institut National Du Cancer; Scheme for Promotion of Academic and Research Collaboration; Natural Environment Research Council; Norges Forskningsråd; Lawrence Livermore National Laboratory; Ministerio de Ciencia e Innovación; Centre National de la Recherche Scientifique; Sight Research UK; Department for Environment, Food and Rural Affairs, UK Government; Canadian Foundation for Climate and Atmospheric Sciences; University Corporation for Atmospheric Research; Battelle; National Aeronautics and Space Administration; U.S. Department of Energy; Pacific Northwest National Laboratory; National Energy Research Scientific Computing Center; National Center for Atmospheric Research; National Science Foundation","keywords":"Atmospheric chemistry; Environmental science; Atmospheric sciences; Radiative forcing; Climate model; Climatology; Precipitation; Climate change; Forcing (mathematics); Coupled model intercomparison project; Meteorology; Wind speed; Range (aeronautics); Ozone; Aerosol; Geography; Geology","retraction":null,"screen_n_in":null,"score":{"opus":0.0376949018169406,"gpt":0.2308040913147333,"spread":0.1931091894977927,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003433941,0.0002052452,0.0002122079,0.000002841034,0.0006313074,0.0002765715,0.0001499651,0.00007638551,0.00004296619],"category_scores_gemma":[0.00002936452,0.0001514947,0.00002371961,0.0001505604,0.0002508079,0.0003729778,0.00012559,0.0001128123,0.000003758843],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001134442,"about_ca_system_score_gemma":0.000100513,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001844735,"about_ca_topic_score_gemma":0.0002489882,"domain_scores_codex":[0.9984817,0.00002113448,0.0004271686,0.0004278464,0.000241969,0.0004002146],"domain_scores_gemma":[0.999317,0.0001049548,0.0001564942,0.0002105672,0.00008351503,0.0001274156],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00006542909,0.0001127451,0.1413409,0.001148393,0.0000624362,0.000001847441,0.004094148,0.7565146,0.003515955,0.0001978403,0.001249708,0.09169594],"study_design_scores_gemma":[0.0001730647,0.000007824668,0.01806104,0.0000793847,0.00001733829,0.000005192739,0.0002825497,0.9798733,0.0002413741,0.0008994593,0.0001698181,0.0001896379],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9870481,0.002468179,0.009443397,0.00004990384,0.00007493337,0.0003640467,0.0001191041,0.00002504778,0.0004072522],"genre_scores_gemma":[0.9641339,0.003505427,0.03180781,0.00002996766,0.000008266561,0.00001423038,0.0001269394,0.000005874074,0.0003675341],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2233587,"threshold_uncertainty_score":0.6177776,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2538529636","doi":"10.5194/gmd-9-3751-2016","title":"The Decadal Climate Prediction Project (DCPP) contribution to CMIP6","year":2016,"lang":"en","type":"article","venue":"Geoscientific model development","topic":"Climate variability and models","field":"Environmental Science","cited_by":480,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Impact; Pacific Institute for Climate Solutions; Environment and Climate Change Canada","funders":"Global Change Institute, University of the Witwatersrand, Johannesburg; National Oceanic and Atmospheric Administration; Environment and Climate Change Canada; Bundesministerium für Bildung und Forschung; Department for Environment, Food and Rural Affairs, UK Government; National Aeronautics and Space Administration; U.S. Department of Energy; Met Office; National Science Foundation","keywords":"Predictability; Climatology; Coupled model intercomparison project; Environmental science; Initialization; Climate change; Climate model; Forecast skill; Component (thermodynamics); Meteorology; Computer science; Geology; Geography; Statistics","retraction":null,"screen_n_in":null,"score":{"opus":0.01920115480203525,"gpt":0.2379868767787668,"spread":0.2187857219767316,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002162406,0.0001763098,0.0001224297,0.00005397125,0.001125918,0.0001270459,0.0003687931,0.00007317098,0.0001717881],"category_scores_gemma":[0.0001305074,0.00009992479,0.00004970004,0.0003225564,0.000188603,0.0002540274,0.0005159535,0.00006616319,0.001093279],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006689931,"about_ca_system_score_gemma":0.0001029791,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004106091,"about_ca_topic_score_gemma":0.000330996,"domain_scores_codex":[0.9974601,0.00006225755,0.0004363546,0.000668499,0.0006407595,0.000732088],"domain_scores_gemma":[0.9991739,0.00007495277,0.00008147809,0.0004646876,0.00004387,0.0001610902],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0009469339,0.001225322,0.05420385,0.00007327714,0.0001081222,0.00001135628,0.009951174,0.08124964,0.2831455,0.02176559,0.1165312,0.430788],"study_design_scores_gemma":[0.001250634,0.00008621924,0.03709608,0.0001048644,0.00002697558,0.00001182489,0.00009461097,0.2156325,0.01280171,0.003989214,0.7281451,0.0007602332],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7957278,0.000007824066,0.1990679,0.0011123,0.0008776287,0.0009965734,0.0001603362,0.0001309639,0.001918707],"genre_scores_gemma":[0.9860705,0.00004494973,0.006838622,0.0002035105,0.00002701828,0.0003641414,0.00004215187,0.00001656399,0.006392584],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6116139,"threshold_uncertainty_score":0.9996845,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2588353936","doi":"10.5194/gmd-10-639-2017","title":"Review of the global models used within phase 1 of the Chemistry–Climate Model Initiative (CCMI)","year":2017,"lang":"en","type":"article","venue":"Geoscientific model development","topic":"Atmospheric chemistry and aerosols","field":"Earth and Planetary Sciences","cited_by":465,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Environment and Climate Change Canada","funders":"Marsden Fund; Australian Research Council; Natural Environment Research Council; Center for Neuroscience and Regenerative Medicine; Centre National de la Recherche Scientifique; European Commission; Sight Research UK; National Science Foundation; Royal Society; Centre National d’Etudes Spatiales; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; Seventh Framework Programme; Met Office; Australian Government; Royal Society Te Apārangi; National Computational Infrastructure; Department for Environment, Food and Rural Affairs, UK Government","keywords":"Radiative forcing; Climate model; Forcing (mathematics); Atmospheric chemistry; Climate change; Climatology; Chemistry; Environmental science; Atmospheric sciences; Meteorology; Physics; Ozone; Ecology","retraction":null,"screen_n_in":null,"score":{"opus":0.06790735893559448,"gpt":0.2740378081132787,"spread":0.2061304491776842,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008480095,0.0002079869,0.0003039773,0.000002403918,0.0008422775,0.00006733686,0.001449489,0.00005993437,0.000167591],"category_scores_gemma":[0.0001015055,0.0001205294,0.0001317002,0.0001865101,0.0004181037,0.0001817794,0.0002422942,0.0001327032,0.000005068252],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002222269,"about_ca_system_score_gemma":0.0007450256,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009413106,"about_ca_topic_score_gemma":0.0001662597,"domain_scores_codex":[0.9979671,0.00003997715,0.0006084412,0.0004141571,0.0006514732,0.0003188104],"domain_scores_gemma":[0.997848,0.00001671821,0.0007814588,0.00110947,0.0001496169,0.00009474049],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001196118,0.0008092485,0.0360847,0.005459506,0.0001642019,0.000004475879,0.00598624,0.9348939,0.004704346,0.0002034314,0.001984131,0.009586228],"study_design_scores_gemma":[0.0006377648,0.000008792131,0.003580729,0.001651832,0.00004824567,0.000003343306,0.0001393656,0.974172,0.01769499,0.001704869,0.0001160364,0.0002420123],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9822173,0.0007539918,0.004636876,0.0002247225,0.0003820169,0.0006614128,0.0009743735,0.00001506358,0.01013421],"genre_scores_gemma":[0.9956399,0.0001176407,0.002877462,0.0001678368,0.000009355155,0.000008029333,0.00004538229,0.000003578932,0.001130882],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03927813,"threshold_uncertainty_score":0.6478203,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2472132332","doi":"10.5194/gmd-9-4087-2016","title":"WCRP COordinated Regional Downscaling EXperiment (CORDEX): a diagnostic MIP for CMIP6","year":2016,"lang":"en","type":"article","venue":"Geoscientific model development","topic":"Climate variability and models","field":"Environmental Science","cited_by":454,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Ouranos","funders":"National Science Foundation","keywords":"Downscaling; Climatology; Environmental science; Climate model; Climate change; Coupled model intercomparison project; Baseline (sea); General Circulation Model; Meteorology; Precipitation; Geography; Geology","retraction":null,"screen_n_in":null,"score":{"opus":0.04251580047742774,"gpt":0.2517366771592521,"spread":0.2092208766818243,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001023768,0.0002784756,0.0002340907,0.00008005733,0.0005259734,0.00007714865,0.0004268877,0.0001064557,0.001169038],"category_scores_gemma":[0.0002111772,0.0002041335,0.0001074254,0.0002290962,0.0002827616,0.0002414099,0.0003726814,0.00006188198,0.0005092833],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006120363,"about_ca_system_score_gemma":0.0001172191,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008036679,"about_ca_topic_score_gemma":0.00008860332,"domain_scores_codex":[0.9971081,0.00003967022,0.0005395994,0.001019835,0.0005413397,0.0007514425],"domain_scores_gemma":[0.9987519,0.0003285032,0.0001210522,0.0004923262,0.00004661796,0.0002595455],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006003979,0.003446049,0.01278067,0.0002494862,0.0001828831,0.00002402015,0.01400635,0.1329699,0.4940299,0.009018859,0.1791664,0.1535251],"study_design_scores_gemma":[0.005159638,0.0001625657,0.006533658,0.0004376243,0.00007296031,0.00002233765,0.0002782171,0.4978626,0.05298576,0.02084319,0.4131574,0.002484076],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5672494,0.00002890632,0.4293452,0.0009851761,0.0005173847,0.0008735061,0.00006576375,0.0001090397,0.0008256815],"genre_scores_gemma":[0.9419487,0.00001969813,0.0453127,0.0003369759,0.00002816261,0.0008395739,0.00007539384,0.00003291463,0.01140587],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4410442,"threshold_uncertainty_score":0.9997441,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2516442054","doi":"10.5194/gmd-9-2853-2016","title":"C4MIP – The Coupled Climate–Carbon Cycle Model Intercomparison Project:experimental protocol for CMIP6","year":2016,"lang":"en","type":"article","venue":"Geoscientific model development","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":389,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Environment and Climate Change Canada","funders":"Horizon 2020 Framework Programme; Deutsche Forschungsgemeinschaft; European Commission; Met Office; Department for Environment, Food and Rural Affairs, UK Government","keywords":"Coupled model intercomparison project; Environmental science; Climate model; Earth system science; Documentation; Carbon cycle; International Satellite Cloud Climatology Project; Climate change; Computer science; Systems engineering; Climatology; Meteorology; Engineering; Geography; Ecosystem; Geology","retraction":null,"screen_n_in":null,"score":{"opus":0.02896743177940219,"gpt":0.2758979853451225,"spread":0.2469305535657203,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006936487,0.0003782785,0.0002473152,0.00001949952,0.00062733,0.00009046958,0.0006944838,0.0001054963,0.0001927017],"category_scores_gemma":[0.000012293,0.0002212174,0.0001099554,0.0001807273,0.0004809228,0.0002328321,0.0007997449,0.0001050318,0.0001310787],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000912703,"about_ca_system_score_gemma":0.00008701636,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007832034,"about_ca_topic_score_gemma":0.00006166515,"domain_scores_codex":[0.9969292,0.00003460077,0.0005682289,0.000910725,0.0006838958,0.0008733931],"domain_scores_gemma":[0.9990394,0.0000336325,0.0001953687,0.0005738541,0.00001157489,0.0001461522],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005223007,0.00136459,0.007996164,0.00006344952,0.00004714877,0.000002720959,0.004684613,0.9043077,0.05174185,0.0004665388,0.006537826,0.02226508],"study_design_scores_gemma":[0.001177232,0.0000524648,0.0006486254,0.00003603251,0.000008700546,0.000003151637,0.0001998234,0.9827019,0.003989936,0.0003556982,0.01042182,0.00040465],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4198526,0.000004125543,0.5083259,0.0002996074,0.00026843,0.06817199,0.00001935262,0.0001545082,0.002903559],"genre_scores_gemma":[0.5695772,0.000002150294,0.1664601,0.0002977659,0.00003148074,0.2488828,0.00001798434,0.00008615939,0.01464438],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.3418658,"threshold_uncertainty_score":0.9020982,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2115751385","doi":"10.5194/gmd-3-565-2010","title":"Implementation and evaluation of a new methane model within a dynamic global vegetation model: LPJ-WHyMe v1.3.1","year":2010,"lang":"en","type":"article","venue":"Geoscientific model development","topic":"Peatlands and Wetlands Ecology","field":"Environmental Science","cited_by":365,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Victoria","funders":"Natural Environment Research Council; Natural Sciences and Engineering Research Council of Canada; University of Bristol","keywords":"Methane; Peat; Environmental science; Permafrost; Wetland; Vegetation (pathology); Hydrology (agriculture); Soil science; Atmospheric sciences; Chemistry; Geology; Ecology","retraction":null,"screen_n_in":null,"score":{"opus":0.0253205098557156,"gpt":0.3024283700555904,"spread":0.2771078601998748,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001919841,0.0001961172,0.0002000428,0.0000841341,0.0001719242,0.00004713693,0.0002080501,0.0001093286,0.0001685756],"category_scores_gemma":[0.00002633587,0.0001840646,0.00003699724,0.000256423,0.0001244025,0.0002970793,0.000201424,0.0001132586,0.00002663336],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002907701,"about_ca_system_score_gemma":0.0004782814,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000274391,"about_ca_topic_score_gemma":0.01531516,"domain_scores_codex":[0.9975963,0.00004526763,0.0005143543,0.0006064391,0.0008876408,0.0003500425],"domain_scores_gemma":[0.9992281,0.000009855754,0.0002373803,0.0002738723,0.00006825627,0.0001824877],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000281891,0.00008326366,0.007459138,0.00001664506,0.00001869014,4.222413e-7,0.003543322,0.9003399,0.03412197,0.0005659517,0.0005499843,0.05327252],"study_design_scores_gemma":[0.001005311,0.00001779898,0.02819612,0.000006623591,0.0000522263,0.000005494916,0.00006718339,0.950644,0.001499768,0.01827128,0.00003275551,0.0002014453],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.809798,0.0000153296,0.1885354,0.0000907627,0.0002105968,0.0004320139,0.00002330642,0.00002410539,0.0008704331],"genre_scores_gemma":[0.901554,0.000004300248,0.09739242,0.00006011104,0.000005597085,0.00006463021,0.0001595278,0.000009985608,0.0007494219],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09175599,"threshold_uncertainty_score":0.8546216,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2806992094","doi":"10.5194/gmd-12-1139-2019","title":"The Polar Amplification Model Intercomparison Project (PAMIP) contribution to CMIP6: investigating the causes and consequences of polar amplification","year":2019,"lang":"en","type":"article","venue":"Geoscientific model development","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":356,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Victoria; Environment and Climate Change Canada","funders":"Horizon 2020 Framework Programme; Bundesministerium für Bildung und Forschung; U.S. Department of Energy; European Commission; National Oceanic and Atmospheric Administration; Sight Research UK; Department for Environment, Food and Rural Affairs, UK Government; National Aeronautics and Space Administration; Natural Environment Research Council; Global Change Institute, University of the Witwatersrand, Johannesburg; Met Office; National Science Foundation","keywords":"Sea ice; Coupled model intercomparison project; Climatology; Polar; Environmental science; Arctic; Forcing (mathematics); Radiative forcing; Climate model; Climate change; Arctic sea ice decline; Arctic ice pack; Atmospheric sciences; Geology; Sea ice thickness; Oceanography; Physics","retraction":null,"screen_n_in":null,"score":{"opus":0.03082222288647661,"gpt":0.2463325504831948,"spread":0.2155103275967182,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001582528,0.000164912,0.0001732353,0.0000929661,0.0008822059,0.0002045554,0.0003769344,0.00005726298,0.00001184759],"category_scores_gemma":[0.0001600348,0.0001004308,0.00003162327,0.0003209836,0.0003909239,0.0002050717,0.00005653922,0.0001490357,0.00004528162],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000323946,"about_ca_system_score_gemma":0.0004654393,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001152067,"about_ca_topic_score_gemma":0.00110023,"domain_scores_codex":[0.9981756,0.0000982046,0.0004956874,0.0004158854,0.0004568281,0.0003577657],"domain_scores_gemma":[0.9989173,0.0001850742,0.0002565727,0.0003409649,0.0002078459,0.00009225758],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001439818,0.00008416203,0.6677855,0.0001814513,0.000111392,6.040215e-7,0.02452948,0.2279803,0.01758579,0.02169612,0.001249065,0.0386522],"study_design_scores_gemma":[0.0001324355,0.00002795602,0.07833567,0.00005542185,0.00001506966,0.000005174115,0.001697344,0.9141746,0.0008404027,0.002563752,0.001961971,0.0001901823],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9022415,0.0001084277,0.09532435,0.0009540726,0.0002708426,0.000793087,0.0001286163,0.00002646171,0.000152585],"genre_scores_gemma":[0.9872088,0.0000413866,0.01172531,0.0002035623,0.00001104425,0.00001383393,0.0002659129,0.0000043296,0.0005257691],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6861943,"threshold_uncertainty_score":0.6785303,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2794245781","doi":"10.5194/gmd-11-1033-2018","title":"The PMIP4 contribution to CMIP6 – Part 1: Overview and over-arching analysis plan","year":2018,"lang":"en","type":"article","venue":"Geoscientific model development","topic":"Geology and Paleoclimatology Research","field":"Earth and Planetary Sciences","cited_by":352,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Memorial University of Newfoundland; University of Toronto","funders":"Comisión Nacional de Investigación Científica y Tecnológica; Engineering and Physical Sciences Research Council; Agence Nationale de la Recherche; Natural Environment Research Council; European Commission; Australian Research Council; Sight Research UK","keywords":"Coupled model intercomparison project; Climatology; Interglacial; Paleoclimatology; Climate change; Climate model; Climate system; Environmental science; Glacial period; Climate sensitivity; Climate state; Geology; Meteorology; Geography; Global warming; Effects of global warming; Paleontology; Oceanography","retraction":null,"screen_n_in":null,"score":{"opus":0.04005373163186276,"gpt":0.2712206746231458,"spread":0.231166942991283,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.002099834,0.0001323055,0.0001926869,0.0002096877,0.001816891,0.0001683996,0.0003056455,0.00007263714,0.0004740945],"category_scores_gemma":[0.00008937945,0.00008983014,0.00004293682,0.0006810391,0.000361413,0.00008892229,0.0000778519,0.0001364347,0.0004430804],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000003952641,"about_ca_system_score_gemma":0.0001421567,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001034143,"about_ca_topic_score_gemma":0.01841039,"domain_scores_codex":[0.9981287,0.0001415132,0.0002791294,0.0004706394,0.0003612101,0.0006188356],"domain_scores_gemma":[0.9991562,0.000181541,0.00005798509,0.000283327,0.0000976503,0.0002233397],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004319895,0.000007982766,0.9887488,0.000006434163,0.00009908892,0.000003339737,0.0006001992,0.001199951,0.000005063255,0.0006402689,0.001115034,0.00753065],"study_design_scores_gemma":[0.0001489633,0.00003220645,0.7960283,0.00001142653,0.00004215432,0.000007586054,0.00004024215,0.137917,0.00006155291,0.001204714,0.06433894,0.0001669298],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9888418,0.0006274385,0.007582671,0.0007844252,0.0005357505,0.0002590624,0.00005522187,0.00002971223,0.001283897],"genre_scores_gemma":[0.9957302,0.00009197295,0.001479854,0.0003073788,0.00003193149,0.000008168514,0.0002196106,0.000001731396,0.00212921],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1927205,"threshold_uncertainty_score":0.999501,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2557951249","doi":"10.5194/gmd-10-3979-2017","title":"The PMIP4 contribution to CMIP6 – Part 2: Two interglacials, scientific objective and experimental design for Holocene and Last Interglacial simulations","year":2017,"lang":"en","type":"article","venue":"Geoscientific model development","topic":"Geology and Paleoclimatology Research","field":"Earth and Planetary Sciences","cited_by":351,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Université du Québec à Montréal","funders":"Biological and Environmental Research; Australian Research Council; Natural Environment Research Council; Office of Science; Agence Nationale de la Recherche; Belmont Forum; Netherlands Earth System Science Centre; Sight Research UK; U.S. Department of Energy; European Commission; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; Svenska Forskningsrådet Formas; National Center for Atmospheric Research; Vetenskapsrådet; National Science Foundation","keywords":"Interglacial; Climatology; Climate model; Paleoclimatology; Climate change; Climate state; Holocene; Forcing (mathematics); Radiative forcing; Climate sensitivity; Orbital forcing; Extratropical cyclone; Environmental science; Geology; Glacial period; Global warming; Oceanography; Effects of global warming","retraction":null,"screen_n_in":null,"score":{"opus":0.04838590304389966,"gpt":0.3035661410144653,"spread":0.2551802379705656,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.001838797,0.0001646993,0.0001796717,0.0001311165,0.006745504,0.0008668519,0.0003732162,0.00007540873,0.00003684026],"category_scores_gemma":[0.0003742251,0.0001244099,0.00002810875,0.00008969422,0.001003377,0.0002445996,0.0001577643,0.0001117133,0.00004858324],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009417121,"about_ca_system_score_gemma":0.0002173712,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001842366,"about_ca_topic_score_gemma":0.005915831,"domain_scores_codex":[0.9982117,0.0001107548,0.0002736987,0.0006112654,0.000237663,0.0005548963],"domain_scores_gemma":[0.9988843,0.000288993,0.0001084308,0.0003208597,0.0001947944,0.0002026046],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006001698,0.00005875485,0.97238,0.00001364968,0.00006040578,0.000004727247,0.003679314,0.01127821,0.0003709074,0.0009204003,0.001406519,0.009226875],"study_design_scores_gemma":[0.002808809,0.0002911665,0.494505,0.00007938944,0.00003636292,0.00004190968,0.0006811438,0.4652903,0.01472596,0.006043741,0.01473743,0.0007588499],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9669847,0.0002349003,0.02976661,0.0004661232,0.001440659,0.000868383,0.00007939795,0.0000206268,0.0001385581],"genre_scores_gemma":[0.994526,0.000005895537,0.003879232,0.00005101257,0.00003499162,0.0000453438,0.0001202437,0.000003553929,0.001333761],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4778751,"threshold_uncertainty_score":0.9945476,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2596816404","doi":"10.5194/gmd-10-1175-2017","title":"The Fire Modeling Intercomparison Project (FireMIP), phase 1: experimental and analytical protocols with detailed model descriptions","year":2017,"lang":"en","type":"article","venue":"Geoscientific model development","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":314,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Environment and Climate Change Canada","funders":"Youth Innovation Promotion Association; Bundesministerium für Bildung und Forschung; National Natural Science Foundation of China; Deutsche Forschungsgemeinschaft; European Commission; Sight Research UK; Natural Environment Research Council; Karlsruhe Institute of Technology; Met Office; National Science Foundation","keywords":"Benchmarking; Coupled model intercomparison project; Vegetation (pathology); Computer science; Component (thermodynamics); Set (abstract data type); Greenhouse gas; Environmental science; Earth system science; Simulation modeling; Systems engineering; Climate model; Meteorology; Climate change; Ecology; Engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.0676661163236718,"gpt":0.3256809775846986,"spread":0.2580148612610268,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.001108173,0.000348786,0.000294578,0.00005338937,0.003425359,0.001100314,0.0008799408,0.00008366963,0.00002928382],"category_scores_gemma":[0.0000538552,0.0002324218,0.00005573795,0.0001200956,0.0005381283,0.0006527927,0.0007548715,0.0002194889,0.00007324621],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004517347,"about_ca_system_score_gemma":0.0001880936,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002441445,"about_ca_topic_score_gemma":0.0006720994,"domain_scores_codex":[0.997036,0.00006174243,0.0005092399,0.0009259086,0.0007806853,0.0006863875],"domain_scores_gemma":[0.9984488,0.00002423519,0.0002188466,0.001048749,0.00003491258,0.0002243881],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001819196,0.004844589,0.02857588,0.0002911991,0.0003430287,0.00007612297,0.02978475,0.7251081,0.0462078,0.0009665198,0.02088609,0.1410968],"study_design_scores_gemma":[0.001081853,0.00007325559,0.0002849841,0.000105333,0.00001469189,0.00001305908,0.0002041471,0.9953616,0.001305669,0.00005596986,0.001141349,0.0003581397],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8584181,0.00002370759,0.1330668,0.0001028037,0.0001255297,0.006955287,0.00001257045,0.00007486934,0.001220352],"genre_scores_gemma":[0.9728505,0.000001874661,0.01710833,0.00002629402,0.00001279888,0.006743004,0.00001221466,0.00003299589,0.003211999],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2702535,"threshold_uncertainty_score":0.9999366,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2518542445","doi":"10.5194/gmd-9-2809-2016","title":"LS3MIP (v1.0) contribution to CMIP6: the Land Surface, Snow and Soilmoisture Model Intercomparison Project – aims, setup and expected outcome","year":2016,"lang":"en","type":"article","venue":"Geoscientific model development","topic":"Climate variability and models","field":"Environmental Science","cited_by":302,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Environment and Climate Change Canada","funders":"Natural Environment Research Council; Sight Research UK","keywords":"Environmental science; Coupled model intercomparison project; Snow; Water cycle; Climate model; Climate change; Water content; Precipitation; Predictability; Climatology; Atmospheric sciences; Meteorology; Geography; Geology; Ecology","retraction":null,"screen_n_in":null,"score":{"opus":0.0339471216150706,"gpt":0.2628559331319919,"spread":0.2289088115169213,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001216934,0.0002765524,0.0002759942,0.0000637203,0.0005451771,0.0001660066,0.0002953884,0.0001112243,0.00006196157],"category_scores_gemma":[0.0001042742,0.0001612429,0.00003743403,0.0002472264,0.0002803477,0.0002583708,0.0007398669,0.000125777,0.00008490763],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002941831,"about_ca_system_score_gemma":0.00007110347,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001968234,"about_ca_topic_score_gemma":0.001109246,"domain_scores_codex":[0.9975646,0.00007606242,0.0004668012,0.0008664888,0.0004743678,0.0005516798],"domain_scores_gemma":[0.9991432,0.00008708801,0.00009684823,0.0004372293,0.00004103855,0.0001945788],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005512674,0.000884025,0.6347683,0.000149884,0.0001249551,0.00001014283,0.02873435,0.1959453,0.06547303,0.002053866,0.04093482,0.03037005],"study_design_scores_gemma":[0.001283539,0.00004490611,0.06084874,0.0001034162,0.00003606813,0.00001382246,0.0001818113,0.9179858,0.001722011,0.001900906,0.01512919,0.0007497817],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8681453,0.00002692875,0.1291022,0.001246366,0.0001812838,0.0007987341,0.0001156258,0.00006404587,0.0003195585],"genre_scores_gemma":[0.9862657,0.00002043819,0.00969615,0.0002744289,0.000008469115,0.00008562949,0.00003893838,0.00001572133,0.003594493],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7220405,"threshold_uncertainty_score":0.6575296,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2591443624","doi":"10.5194/gmd-10-4035-2017","title":"The PMIP4 contribution to CMIP6 – Part 4: Scientific objectives and experimental design of the PMIP4-CMIP6 Last Glacial Maximum experiments and PMIP4 sensitivity experiments","year":2017,"lang":"en","type":"article","venue":"Geoscientific model development","topic":"Climate variability and models","field":"Environmental Science","cited_by":285,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Memorial University of Newfoundland; University of Toronto","funders":"Comisión Nacional de Investigación Científica y Tecnológica; Natural Environment Research Council; Sight Research UK; National Center for Atmospheric Research; National Science Foundation","keywords":"Last Glacial Maximum; Climatology; Climate sensitivity; Paleoclimatology; Climate model; Environmental science; Ice sheet; Forcing (mathematics); Climate change; Coupled model intercomparison project; Present day; Glacial period; Atmospheric sciences; Geology; Oceanography; Geomorphology","retraction":null,"screen_n_in":null,"score":{"opus":0.03554261868066531,"gpt":0.2667737899481046,"spread":0.2312311712674393,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.003153082,0.0004024888,0.0003543703,0.00007169764,0.005748512,0.0009559194,0.000689506,0.0001258018,0.0000731907],"category_scores_gemma":[0.0002356715,0.0002872738,0.00008348764,0.0002018455,0.002298116,0.0006575771,0.002270338,0.0001625904,0.00004743268],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004055924,"about_ca_system_score_gemma":0.0001618721,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000130683,"about_ca_topic_score_gemma":0.00019579,"domain_scores_codex":[0.995924,0.0002999462,0.0006084931,0.001261382,0.001094196,0.0008119696],"domain_scores_gemma":[0.9978967,0.0001154372,0.0003591446,0.001229358,0.00008648196,0.0003128633],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0005500099,0.001085111,0.01385861,0.00003428161,0.0001009023,0.000007535077,0.02481242,0.01364787,0.9334525,0.001303885,0.002822647,0.008324235],"study_design_scores_gemma":[0.002221837,0.0001260836,0.06195794,0.000171724,0.00004561675,0.00002218971,0.001643006,0.09797484,0.8212657,0.002327418,0.01116365,0.001079999],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9794407,0.0001267006,0.01629269,0.0002678539,0.001733325,0.001578767,0.00006398148,0.00003493305,0.0004610205],"genre_scores_gemma":[0.9946836,0.00001493047,0.003318003,0.00008683882,0.00002590116,0.0002286363,0.00001388485,0.0000227425,0.001605458],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1121868,"threshold_uncertainty_score":0.9999579,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2904725185","doi":"10.5194/gmd-11-5027-2018","title":"ESM-SnowMIP: assessing snow models and quantifying snow-related climate feedbacks","year":2018,"lang":"en","type":"article","venue":"Geoscientific model development","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":283,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Saskatchewan; Environment and Climate Change Canada","funders":"Russian Science Foundation; European Commission; Sight Research UK; Natural Environment Research Council; Center for Neuroscience and Regenerative Medicine; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; U.S. Department of Energy; Japan Society for the Promotion of Science; Russian Foundation for Basic Research; Agence Nationale de la Recherche; National Science Foundation","keywords":"Snow; Coupled model intercomparison project; Earth system science; Environmental science; Context (archaeology); Climatology; Climate model; Climate system; Scale (ratio); Meteorology; Climate change; Geography; Geology; Cartography","retraction":null,"screen_n_in":null,"score":{"opus":0.07567055860519592,"gpt":0.2685583755518267,"spread":0.1928878169466308,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.000902596,0.0002619405,0.0002595885,0.00009844503,0.002075222,0.0004687856,0.0002521775,0.00009924913,0.000701673],"category_scores_gemma":[0.00005182176,0.0002276083,0.00004889309,0.0005533309,0.0003165563,0.000608679,0.000120478,0.0001478399,0.0002617455],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002187109,"about_ca_system_score_gemma":0.0001823857,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000335029,"about_ca_topic_score_gemma":0.002244074,"domain_scores_codex":[0.9974859,0.00003783382,0.0005269829,0.0007349849,0.0004644102,0.0007499044],"domain_scores_gemma":[0.9990777,0.00009804299,0.0001512855,0.0002949137,0.0001774358,0.0002006024],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005759613,0.000154571,0.1745268,0.0001450389,0.0002006261,0.00002286444,0.0196107,0.1323805,0.0002457238,0.002756587,0.00837004,0.6615289],"study_design_scores_gemma":[0.0002478481,0.00001579468,0.1561412,0.00008421067,0.00001755091,0.000006731072,0.0007015635,0.8365135,0.00007755027,0.001157464,0.00470142,0.0003351039],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9245738,0.0005429991,0.06384364,0.0002278485,0.001712627,0.0002791882,0.0000584787,0.0001452701,0.008616153],"genre_scores_gemma":[0.9468163,0.0001496035,0.05024124,0.0002073119,0.00005093986,0.000005767009,0.0002099078,0.000010396,0.002308486],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.704133,"threshold_uncertainty_score":0.9992239,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2122449569","doi":"10.5194/gmd-6-2121-2013","title":"The North American Carbon Program Multi-Scale Synthesis and Terrestrial Model Intercomparison Project – Part 1: Overview and experimental design","year":2013,"lang":"en","type":"article","venue":"Geoscientific model development","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":279,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Université du Québec à Montréal","funders":"Oak Ridge National Laboratory; University of Montana; National Aeronautics and Space Administration","keywords":"Biosphere; Carbon cycle; Environmental science; Coupled model intercomparison project; Scale (ratio); Carbon fibers; Climatology; Computer science; Climate model; Atmospheric sciences; Climate change; Ecology; Ecosystem; Physics; Geology; Algorithm","retraction":null,"screen_n_in":null,"score":{"opus":0.04044584866029248,"gpt":0.2519354716391912,"spread":0.2114896229788987,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003401627,0.0003123212,0.0002499987,0.00001395452,0.0005687477,0.0002352671,0.0002956686,0.00004463249,0.00001755367],"category_scores_gemma":[0.00001100804,0.0002257781,0.00003835878,0.0001894845,0.0009554686,0.0001943864,0.0006178712,0.0001280406,0.00002249922],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002997359,"about_ca_system_score_gemma":0.00004144456,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009907811,"about_ca_topic_score_gemma":0.0006925017,"domain_scores_codex":[0.9978054,0.0000811131,0.000390884,0.0007311121,0.0004297782,0.0005617166],"domain_scores_gemma":[0.9992955,0.00004045102,0.0001444027,0.0003191537,0.000004309573,0.0001962125],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001148618,0.001126939,0.08943725,0.00002453419,0.00006650225,0.000003286443,0.006955798,0.3217802,0.001613911,0.000004452594,0.002221626,0.5766506],"study_design_scores_gemma":[0.0002249935,0.00004720036,0.02433592,0.00001260306,0.00001411871,0.000003642559,0.0005228447,0.9727805,0.0003546557,0.00001165487,0.00138259,0.0003092363],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9556437,0.000132082,0.04242596,0.00005345131,0.0001289351,0.001403179,0.000002861436,0.00006627631,0.0001435665],"genre_scores_gemma":[0.7216049,0.0001519963,0.2757353,0.00005134496,0.000008806826,0.001124147,0.0000059301,0.00002631641,0.001291257],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6510003,"threshold_uncertainty_score":0.9206963,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2794921839","doi":"10.5194/gmd-11-1133-2018","title":"The Carbon Dioxide Removal Model Intercomparison Project (CDRMIP): rationale and experimental protocol for CMIP6","year":2018,"lang":"en","type":"article","venue":"Geoscientific model development","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":274,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Simon Fraser University","funders":"Met Office; National Key Research and Development Program of China; Sight Research UK; Deutsche Forschungsgemeinschaft; Norges Forskningsråd; Department for Environment, Food and Rural Affairs, UK Government; Natural Sciences and Engineering Research Council of Canada; U.S. Department of Energy; European Commission; Battelle; Pacific Northwest National Laboratory; Natural Environment Research Council","keywords":"Coupled model intercomparison project; Greenhouse gas; Environmental science; Reforestation; Earth system science; Carbon dioxide removal; Climate change; Climate model; Afforestation; Carbon dioxide; Atmosphere (unit); Climatology; Atmospheric sciences; Meteorology; Environmental resource management; Ecology; Agroforestry","retraction":null,"screen_n_in":null,"score":{"opus":0.03275946295213358,"gpt":0.2793745979008364,"spread":0.2466151349487028,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005383152,0.0002489043,0.0001511691,0.00001307551,0.0009585482,0.0001072411,0.0003390331,0.00006804488,0.00003268755],"category_scores_gemma":[0.0000137675,0.000184681,0.0000460931,0.0001258372,0.0007155919,0.0001637218,0.0005176163,0.00008739036,0.00002368907],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004582752,"about_ca_system_score_gemma":0.00008814939,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007088746,"about_ca_topic_score_gemma":0.000173236,"domain_scores_codex":[0.9979342,0.00002752516,0.0003929308,0.0006701476,0.0004877587,0.0004874904],"domain_scores_gemma":[0.9994101,0.00002344509,0.000121494,0.0003199432,0.00001347821,0.0001115701],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001657341,0.001542647,0.006074861,0.0001071085,0.0001166603,0.000007782203,0.02666859,0.7901941,0.08545016,0.001743102,0.02776126,0.0586764],"study_design_scores_gemma":[0.0006056827,0.00006645206,0.0003070568,0.00001214481,0.000004691902,0.000008050373,0.0003195769,0.9469308,0.00520636,0.0004229547,0.04585765,0.00025853],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.5848032,0.00001330677,0.3394201,0.0001511829,0.0003007275,0.06976708,0.00001028792,0.00009051911,0.005443602],"genre_scores_gemma":[0.1991059,0.000002675056,0.5519297,0.0003077082,0.0000799727,0.2010516,0.00003097781,0.0000756948,0.04741573],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.3856973,"threshold_uncertainty_score":0.7531074,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2945086703","doi":"10.5194/gmd-12-4185-2019","title":"Pysteps: an open-source Python library for probabilistic precipitation nowcasting (v1.0)","year":2019,"lang":"en","type":"article","venue":"Geoscientific model development","topic":"Meteorological Phenomena and Simulations","field":"Earth and Planetary Sciences","cited_by":269,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McGill University","funders":"Suomalainen Tiedeakatemia; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; National Science Foundation","keywords":"Nowcasting; Python (programming language); Probabilistic logic; Computer science; Modular design; Ranging; Radar; Web application; Meteorology; World Wide Web; Programming language; Geography; Artificial intelligence; Telecommunications","retraction":null,"screen_n_in":null,"score":{"opus":0.05533786638408605,"gpt":0.2487245554783294,"spread":0.1933866890942433,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008593142,0.000170345,0.000201975,0.0001098771,0.0004255502,0.0005062877,0.0005866894,0.00007099019,0.001470126],"category_scores_gemma":[0.00007996532,0.0001383437,0.00003253101,0.000273739,0.00004369048,0.0009675146,0.00008172674,0.00008102493,0.0004492662],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001151998,"about_ca_system_score_gemma":0.0002010814,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002779786,"about_ca_topic_score_gemma":0.00009412614,"domain_scores_codex":[0.9980751,0.00007715353,0.000426009,0.0006887778,0.0003056594,0.0004273567],"domain_scores_gemma":[0.9990806,0.0001992634,0.000128903,0.0003227652,0.00007044795,0.0001980121],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00009694803,0.00009587336,0.01501993,0.00008790248,0.00001218653,5.301134e-7,0.001780949,0.9141031,0.0001875735,0.001027259,0.001367864,0.0662199],"study_design_scores_gemma":[0.0003525153,0.0001155885,0.0390416,0.00002104119,0.000006784308,8.562609e-7,0.00009382357,0.9268367,0.00003933348,0.006183356,0.02706465,0.0002437942],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9138583,0.00003428962,0.070654,0.00008189019,0.0007686006,0.001855124,0.0001681198,0.0001646446,0.01241504],"genre_scores_gemma":[0.85372,9.310461e-7,0.1233205,0.0001980947,0.00003487349,0.00002855204,0.001984744,0.00001176697,0.02070059],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0659761,"threshold_uncertainty_score":0.9994426,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2586179334","doi":"10.5194/gmd-10-571-2017","title":"Half a degree additional warming, prognosis and projected impacts (HAPPI): background and experimental design","year":2017,"lang":"en","type":"article","venue":"Geoscientific model development","topic":"Climate variability and models","field":"Environmental Science","cited_by":267,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Victoria; Environment and Climate Change Canada","funders":"Biological and Environmental Research; Bundesministerium für Umwelt, Naturschutz, nukleare Sicherheit und Verbraucherschutz; Office of Science; Ministry of Education, Culture, Sports, Science and Technology; Norges Forskningsråd; Sight Research UK; National Energy Research Scientific Computing Center; Natural Environment Research Council; U.S. Department of Energy","keywords":"Greenhouse gas; Climatology; Environmental science; Climate change; Representative Concentration Pathways; Global warming; Climate model; Degree (music); Range (aeronautics); Atmospheric sciences; Meteorology; Geography; Ecology","retraction":null,"screen_n_in":null,"score":{"opus":0.1252115238429699,"gpt":0.2890104583523889,"spread":0.1637989345094191,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007574383,0.0002496111,0.0001878821,0.00006175227,0.00164164,0.0005278687,0.0003100452,0.00009100022,0.001759985],"category_scores_gemma":[0.00006245277,0.0002270266,0.00002976924,0.00007115785,0.0006531086,0.0006353283,0.0008053596,0.0001026278,0.0000872751],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002174201,"about_ca_system_score_gemma":0.0001177579,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001839386,"about_ca_topic_score_gemma":0.0001734854,"domain_scores_codex":[0.9978447,0.00004328533,0.0003023501,0.0008349514,0.00048246,0.0004922381],"domain_scores_gemma":[0.9990973,0.00004777189,0.000153601,0.0004092668,0.00002128249,0.0002707532],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001367101,0.01126864,0.07686137,0.0008449928,0.0005632194,0.0001978638,0.08622345,0.02111928,0.2954188,0.003744537,0.2656434,0.2367473],"study_design_scores_gemma":[0.002484137,0.0002095008,0.1159539,0.0002374558,0.00005487929,0.0001145687,0.0005674745,0.8248649,0.02523799,0.003259516,0.02529481,0.001720928],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9836912,0.00005022123,0.01259022,0.0001786484,0.0001549262,0.000827502,0.0001568121,0.00005973568,0.002290756],"genre_scores_gemma":[0.9061494,0.00001183865,0.09147231,0.00006933674,0.00001252574,0.0003004403,0.0001156569,0.00001717217,0.001851296],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8037456,"threshold_uncertainty_score":0.9996581,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2769117689","doi":"10.5194/gmd-12-473-2019","title":"A General Lake Model (GLM 3.0) for linking with high-frequency sensor data from the Global Lake Ecological Observatory Network (GLEON)","year":2019,"lang":"en","type":"article","venue":"Geoscientific model development","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":258,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"Australian Research Council; Global Lake Ecological Observatory Network; Division of Emerging Frontiers; U.S. Department of the Interior; National Science Foundation","keywords":"Environmental science; Computer science; Observatory; Environmental resource management; Flexibility (engineering); Ecology; Hydrology (agriculture); Meteorology; Geography","retraction":null,"screen_n_in":null,"score":{"opus":0.04004893108345983,"gpt":0.2277819259228658,"spread":0.1877329948394059,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001096129,0.0003233,0.0003039613,0.00001486087,0.0009238941,0.0001099808,0.001347375,0.0001305371,0.0004582519],"category_scores_gemma":[0.00001866054,0.0002096826,0.00005036332,0.0002473759,0.0003186976,0.0002644137,0.001821448,0.0001671176,0.000466516],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001608358,"about_ca_system_score_gemma":0.00009271789,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000759646,"about_ca_topic_score_gemma":0.01473668,"domain_scores_codex":[0.9968514,0.00006588075,0.0004013788,0.001282976,0.0005392386,0.0008591397],"domain_scores_gemma":[0.9985676,0.00007401605,0.0001472692,0.001079385,0.00002411767,0.0001076529],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00006337003,0.00009277096,0.2557573,0.00001172285,0.0001013225,0.000006529428,0.000352347,0.724301,0.00004776569,0.0009405609,0.01773584,0.0005893686],"study_design_scores_gemma":[0.0007735914,0.0000325972,0.1429439,0.00002600617,0.00006833152,0.000001450726,0.00003562135,0.8145874,0.000008759759,0.009461794,0.03160273,0.0004578552],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8888338,0.00003316523,0.1057724,0.001040846,0.000802604,0.001089514,0.000563059,0.00009992711,0.001764645],"genre_scores_gemma":[0.7105399,0.00001795301,0.27495,0.003302823,0.0001190313,0.000242809,0.002034459,0.00002784408,0.008765178],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1782939,"threshold_uncertainty_score":0.8550608,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1987204722","doi":"10.5194/gmd-8-431-2015","title":"A test of an optimal stomatal conductance scheme within the CABLE land surface model","year":2015,"lang":"en","type":"article","venue":"Geoscientific model development","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":253,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"Australian Research Council; Natural Sciences and Engineering Research Council of Canada; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; Natural Resources Canada; Australian National University; Commonwealth Scientific and Industrial Research Organisation; U.S. Department of Energy; Lawrence Berkeley National Laboratory; Australian Government; Oak Ridge National Laboratory; Biological and Environmental Research; Canadian Foundation for Climate and Atmospheric Sciences; National Computational Infrastructure; Microsoft Research; Eidgenössische Technische Hochschule Zürich; National Science Foundation","keywords":"Stomatal conductance; Transpiration; Environmental science; Evergreen; Atmosphere (unit); Photosynthesis; Conductance; Biosphere model; Vegetation (pathology); Atmospheric sciences; Leaf area index; Biosphere; Agronomy; Mathematics; Meteorology; Botany; Ecology; Biology; Physics","retraction":null,"screen_n_in":null,"score":{"opus":0.02699451055848311,"gpt":0.2177344886674641,"spread":0.190739978108981,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009145309,0.0001472025,0.0001361784,0.00002591346,0.0002043712,0.00006595657,0.0004199804,0.00005466693,0.00004147457],"category_scores_gemma":[0.00002189841,0.0001056861,0.00002258894,0.0002282663,0.0002193169,0.0003173954,0.000250131,0.0001089571,0.00008068224],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001460923,"about_ca_system_score_gemma":0.0002055176,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001646405,"about_ca_topic_score_gemma":0.0003170397,"domain_scores_codex":[0.9984125,0.00002265415,0.0003109665,0.000382796,0.0005882175,0.0002827964],"domain_scores_gemma":[0.9992838,0.0000140921,0.0001227563,0.0003847712,0.00003369905,0.0001609019],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000102408,0.00008794657,0.004065918,0.000002964614,0.000004292421,0.000001814667,0.002039609,0.9888113,0.004340853,0.00007672019,0.0004676012,0.00009081411],"study_design_scores_gemma":[0.000231465,0.00001289346,0.0004221648,0.000008130596,0.00000522798,0.00001123685,0.00007723381,0.9961842,0.002269108,0.0003240646,0.0002890308,0.0001652903],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9590921,0.00001585395,0.03840034,0.00004171567,0.0001292587,0.0001948291,0.0001086479,0.00003388765,0.001983321],"genre_scores_gemma":[0.8208349,0.000001033369,0.1711273,0.00002999848,0.00000306908,0.00001204279,0.00008121076,0.00001049005,0.007899964],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1382572,"threshold_uncertainty_score":0.4309754,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2097895437","doi":"10.5194/gmd-6-617-2013","title":"Present state of global wetland extent and wetland methane modelling: methodology of a model inter-comparison project (WETCHIMP)","year":2013,"lang":"en","type":"article","venue":"Geoscientific model development","topic":"Peatlands and Wetlands Ecology","field":"Environmental Science","cited_by":226,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Victoria; Camosun College; Environment and Climate Change Canada","funders":"Lawrence Berkeley National Laboratory; Biological and Environmental Research; Russian Foundation for Basic Research; Russian Academy of Sciences; Max-Planck-Gesellschaft; Sight Research UK; Office of Science; Competence Center Environment and Sustainability; National Aeronautics and Space Administration; Natural Environment Research Council; U.S. Department of Energy; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; National Science Foundation","keywords":"Wetland; Environmental science; Methane; Precipitation; Climatology; Climate change; Atmospheric sciences; Meteorology; Ecology; Geography","retraction":null,"screen_n_in":null,"score":{"opus":0.07352084926438461,"gpt":0.2995886928901573,"spread":0.2260678436257726,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001221405,0.0003258687,0.0006856019,0.0001226241,0.0001178201,0.00003988625,0.0004370116,0.0001194855,0.0001398674],"category_scores_gemma":[0.00002861184,0.0002623946,0.00008719537,0.0003170043,0.0004060454,0.0002044757,0.0007392701,0.0001481097,0.00002499432],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001629569,"about_ca_system_score_gemma":0.000171597,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001754515,"about_ca_topic_score_gemma":0.0009349849,"domain_scores_codex":[0.9968366,0.0001642206,0.0009946494,0.0008314647,0.0005208491,0.0006521978],"domain_scores_gemma":[0.9988087,0.00007680763,0.000398663,0.0004369988,0.00007173447,0.0002070663],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001948642,0.0006521695,0.06193032,0.0001499818,0.0001225625,0.00000349417,0.005770322,0.870802,0.02138182,0.0001334274,0.005396685,0.03346232],"study_design_scores_gemma":[0.0007152248,0.00008998501,0.01193081,0.00002557799,0.00003063773,0.00001095192,0.00008784922,0.9744917,0.006549092,0.005251892,0.0005185343,0.0002976972],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6115859,0.00005654954,0.386921,0.00006855415,0.0001100519,0.000509832,0.00004244459,0.00001961622,0.0006861402],"genre_scores_gemma":[0.8541527,0.00004927741,0.1441112,0.00003212148,0.00000672531,0.0001183953,0.00004115143,0.00001425656,0.00147416],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2428098,"threshold_uncertainty_score":0.9999828,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2942826706","doi":"10.5194/gmd-13-401-2020","title":"ACCESS-OM2 v1.0: a global ocean–sea ice model at three resolutions","year":2020,"lang":"en","type":"article","venue":"Geoscientific model development","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":224,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Memorial University of Newfoundland","funders":"Natural Environment Research Council; Centre for Southern Hemisphere Oceans Research; Australian Government; Centre National d’Etudes Spatiales; Antarctic Climate and Ecosystems Cooperative Research Centre; Australian Research Council; Sight Research UK; Climate Extremes; National Computational Infrastructure","keywords":"Sea ice; Grid; Meteorology; Climatology; Atmosphere (unit); Environmental science; Climate model; Horizontal resolution; Geology; Remote sensing; Geodesy; Oceanography; Climate change; Geography","retraction":null,"screen_n_in":null,"score":{"opus":0.05072612887573617,"gpt":0.2394923882547361,"spread":0.188766259379,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003856348,0.000299171,0.0002542032,0.00006295602,0.001173289,0.0002420829,0.0008871021,0.0001086674,0.0007936861],"category_scores_gemma":[0.00005836145,0.000268514,0.00009848351,0.000632796,0.000208372,0.0004725406,0.0003197348,0.00018952,0.00101431],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009801265,"about_ca_system_score_gemma":0.0007883852,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004168075,"about_ca_topic_score_gemma":0.003791719,"domain_scores_codex":[0.996974,0.00003008011,0.0004842925,0.0008726722,0.0008313268,0.0008076483],"domain_scores_gemma":[0.9988109,0.00003221572,0.0001316173,0.0003539856,0.0001154317,0.000555803],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00008418797,0.00004599748,0.1622001,0.0000564381,0.00003902639,0.00001773145,0.001250113,0.8069389,0.000008545349,0.0006795684,0.01896131,0.009718127],"study_design_scores_gemma":[0.0002558099,0.00001485427,0.04017029,0.00001592811,0.0000226048,0.000009941928,0.00005898247,0.9506013,0.00000837592,0.002424166,0.006060787,0.0003569845],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4741342,0.0001115542,0.5068128,0.002396522,0.0006318723,0.0004271326,0.001119505,0.0002088657,0.0141576],"genre_scores_gemma":[0.9490014,0.00002565576,0.04491049,0.002033648,0.0000586856,0.000003825062,0.0008940246,0.000008839374,0.003063407],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4748672,"threshold_uncertainty_score":0.9999767,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2098053812","doi":"10.5194/gmd-3-753-2010","title":"Development and validation of a size-resolved particle dry deposition scheme for application in aerosol transport models","year":2010,"lang":"en","type":"article","venue":"Geoscientific model development","topic":"Atmospheric chemistry and aerosols","field":"Earth and Planetary Sciences","cited_by":220,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto; Environment and Climate Change Canada","funders":"","keywords":"Aerosol; Deposition (geology); Environmental science; Atmospheric sciences; Particle (ecology); Particle deposition; Relative humidity; Vegetation (pathology); Particle size; Meteorology; Chemistry; Physics; Geology","retraction":null,"screen_n_in":null,"score":{"opus":0.01882799843498628,"gpt":0.2117929605976217,"spread":0.1929649621626354,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005689984,0.0001343803,0.0001530689,0.00001314286,0.0001859198,0.0000302194,0.0001297857,0.00008549932,0.00003765926],"category_scores_gemma":[0.0000145636,0.000130302,0.00002557163,0.0001788931,0.00006998735,0.0002282495,0.00001127099,0.00008581751,0.000004484585],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009979797,"about_ca_system_score_gemma":0.0002112205,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009411628,"about_ca_topic_score_gemma":0.001283393,"domain_scores_codex":[0.9985986,0.00000783416,0.0004609892,0.0004024378,0.0002594065,0.0002706989],"domain_scores_gemma":[0.9995131,0.00004073525,0.0001151769,0.0001635554,0.00006423044,0.0001031771],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002545355,0.0002983284,0.09488845,0.0003945401,0.00003073215,0.000001949314,0.008047756,0.09476379,0.6845256,0.0002887335,0.00002521548,0.1164804],"study_design_scores_gemma":[0.0004192145,0.000006380676,0.01277277,0.00002081833,0.000004730956,9.57936e-7,0.00008203531,0.6426667,0.3434111,0.000305481,0.0001412553,0.0001685653],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7647165,0.00001221344,0.2345762,0.00002267192,0.00007009875,0.0004540845,0.0000247703,0.00001682846,0.0001066707],"genre_scores_gemma":[0.6934312,0.000001515017,0.3060483,0.00001457504,0.000007048071,0.00005785422,0.0002539515,0.000003028623,0.0001825238],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5479029,"threshold_uncertainty_score":0.5313563,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2081960133","doi":"10.5194/gmd-7-2831-2014","title":"GEOtop 2.0: simulating the combined energy and water balance at and below the land surface accounting for soil freezing, snow cover and terrain effects","year":2014,"lang":"en","type":"article","venue":"Geoscientific model development","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":199,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Carleton University","funders":"","keywords":"Snow; Environmental science; Permafrost; Energy balance; Terrain; Soil water; Water balance; Atmospheric sciences; Atmosphere (unit); Snowmelt; Hydrology (agriculture); Soil science; Meteorology; Geology; Geomorphology","retraction":null,"screen_n_in":null,"score":{"opus":0.01569625809151501,"gpt":0.2012912365652585,"spread":0.1855949784737435,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.001150309,0.0001743092,0.0001628306,0.0000280399,0.001344047,0.0003200097,0.0001416609,0.00005263228,0.00007448621],"category_scores_gemma":[0.0000423424,0.00008966036,0.00001926516,0.00005631693,0.0001606733,0.0001229943,0.0001229335,0.00005924112,0.00000871764],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006330113,"about_ca_system_score_gemma":0.00001749287,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000929329,"about_ca_topic_score_gemma":0.008408,"domain_scores_codex":[0.9987258,0.0000558941,0.0001909029,0.0003946167,0.0002098783,0.0004229183],"domain_scores_gemma":[0.9991329,0.0005152767,0.00006294619,0.0001734975,0.0000349145,0.00008051201],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000879279,0.00001686909,0.9107077,0.0002608324,0.0000393653,0.000002029647,0.01173329,0.03058467,0.003607073,0.00003555692,0.002677568,0.0402471],"study_design_scores_gemma":[0.0005055697,0.00002132156,0.06630377,0.00004179715,0.0000120267,0.000005668557,0.00005332162,0.9148761,0.001012334,0.0002791625,0.01670485,0.0001840512],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.996043,0.0003297529,0.002230243,0.0004894848,0.0002890463,0.0002859334,0.0001318255,0.00001705429,0.0001836592],"genre_scores_gemma":[0.9961285,0.00005623281,0.0003752018,0.0006455539,0.00003789528,0.000008839571,0.0004896676,0.000006701399,0.00225143],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8842915,"threshold_uncertainty_score":0.9999561,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2239322794","doi":"10.5194/gmd-9-323-2016","title":"Competition between plant functional types in the Canadian Terrestrial Ecosystem Model (CTEM) v. 2.0","year":2016,"lang":"en","type":"article","venue":"Geoscientific model development","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":190,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true},"ca_institutions":"Environment and Climate Change Canada","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Vegetation (pathology); Environmental science; Ecosystem; Physical geography; Precipitation; Terrestrial ecosystem; Climate model; Atmospheric sciences; Forcing (mathematics); Ecology; Climatology; Climate change; Geology; Geography; Meteorology; Biology","retraction":null,"screen_n_in":null,"score":{"opus":0.03288798626179261,"gpt":0.2077091729501481,"spread":0.1748211866883555,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000870316,0.0001140052,0.0001085319,0.0000960416,0.0006210927,0.00003916071,0.0002268917,0.00007086882,0.0001497989],"category_scores_gemma":[0.00002070796,0.00006988298,0.00002493839,0.0001453519,0.0001118086,0.0001218196,0.00007741571,0.00007851617,0.0005190328],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005851916,"about_ca_system_score_gemma":0.0002153877,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001982,"about_ca_topic_score_gemma":0.6272392,"domain_scores_codex":[0.998686,0.00005827691,0.0002689251,0.0003304558,0.0003239847,0.0003323387],"domain_scores_gemma":[0.999636,0.00006103716,0.00005936467,0.0001542561,0.000008551852,0.0000807943],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00006099583,0.0002113369,0.4596328,0.00002385042,0.00007571084,0.00002043362,0.007669409,0.4810998,0.0005608326,0.01620094,0.02533885,0.009105062],"study_design_scores_gemma":[0.0007212823,0.00001339661,0.4632336,0.00004131227,0.0000132507,0.000005268603,0.00007782165,0.5152075,0.00005293698,0.006220377,0.01407588,0.000337363],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9431086,0.000006326059,0.04716953,0.001971293,0.0005694368,0.0003631385,0.0001797706,0.00002464808,0.006607306],"genre_scores_gemma":[0.9958451,0.000002560909,0.001377122,0.0001437888,0.00002152459,0.00007455252,0.0000981863,0.000005095134,0.002432018],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6252572,"threshold_uncertainty_score":0.667129,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2467247460","doi":"10.5194/gmd-9-3993-2016","title":"The Flux-Anomaly-Forced Model Intercomparison Project (FAFMIP) contribution to CMIP6: investigation of sea-level and ocean climate change in response to CO <sub>2</sub> forcing","year":2016,"lang":"en","type":"article","venue":"Geoscientific model development","topic":"Climate variability and models","field":"Environmental Science","cited_by":184,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Pacific Institute for Climate Solutions","funders":"Natural Environment Research Council; Sight Research UK","keywords":"Climatology; Environmental science; Ocean current; Coupled model intercomparison project; Ocean heat content; Sea surface temperature; Thermohaline circulation; Heat flux; Climate model; Climate change; Flux (metallurgy); Anomaly (physics); Atmospheric sciences; Geology; Oceanography; Heat transfer; Physics; Chemistry; Mechanics","retraction":null,"screen_n_in":null,"score":{"opus":0.05170838617871371,"gpt":0.2703781171790158,"spread":0.2186697310003021,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004542502,0.0002461688,0.0002746386,0.0002339628,0.0004150324,0.00008763972,0.0003270338,0.00009745993,0.000007305948],"category_scores_gemma":[0.0002383989,0.0001741356,0.00004286112,0.0004987815,0.0002144805,0.0003814574,0.0006122664,0.00009211042,0.0000537838],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00072261,"about_ca_system_score_gemma":0.0001295384,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000163904,"about_ca_topic_score_gemma":0.001770935,"domain_scores_codex":[0.9971042,0.0001730339,0.0007133338,0.0007644024,0.0005455856,0.0006994322],"domain_scores_gemma":[0.9989607,0.0001603634,0.0001606496,0.0004280967,0.00006341304,0.0002267651],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001366424,0.0001110565,0.04738174,0.00005886529,0.00001282859,0.000001863992,0.01857118,0.0482097,0.8611364,0.0005346874,0.001130039,0.02148519],"study_design_scores_gemma":[0.0007843995,0.00007374818,0.06044654,0.0002473893,0.00001009264,0.000002530319,0.0001268783,0.7977784,0.1390055,0.0008284027,0.0003131195,0.0003830828],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9174447,0.000005967997,0.07975988,0.0008653007,0.000117414,0.001537834,0.0001860784,0.00003505817,0.0000477496],"genre_scores_gemma":[0.9925012,0.00001493588,0.006775154,0.0002216034,0.000006322447,0.0002370333,0.00004009577,0.00001779926,0.0001858512],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7495686,"threshold_uncertainty_score":0.7101042,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2762984108","doi":"10.5194/gmd-11-1421-2018","title":"A protocol for the intercomparison of marine fishery and ecosystem models: Fish-MIP v1.0","year":2018,"lang":"en","type":"article","venue":"Geoscientific model development","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":181,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"McGill University; University of British Columbia; Dalhousie University","funders":"Australian Research Council; NordForsk; Bundesministerium für Bildung und Forschung; Fondation pour la Recherche sur la Biodiversite; Cambridge Conservation Initiative; Fisheries Research and Development Corporation; Agence Nationale de la Recherche; Natural Environment Research Council; Diputación Foral de Gipuzkoa; Commonwealth Scientific and Industrial Research Organisation; Natural Sciences and Engineering Research Council of Canada; European Commission","keywords":"Coupled model intercomparison project; Marine ecosystem; Environmental science; Ecosystem model; Earth system science; Ecosystem; Climate change; Replicate; Climate model; Marine protected area; Environmental resource management; Ecology; Habitat","retraction":null,"screen_n_in":null,"score":{"opus":0.07134168611899258,"gpt":0.2917566428963687,"spread":0.2204149567773761,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001025387,0.0001610089,0.0001871769,0.00005393583,0.0003907905,0.0001086803,0.0004863683,0.00005732858,0.001414379],"category_scores_gemma":[0.0000340462,0.0001091466,0.0000439343,0.000220226,0.0003510369,0.000211656,0.001228075,0.00009538565,0.0000277958],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00011708,"about_ca_system_score_gemma":0.00007096488,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001878065,"about_ca_topic_score_gemma":0.00191229,"domain_scores_codex":[0.9981801,0.00003222653,0.0004211558,0.0004837404,0.0004831425,0.0003996489],"domain_scores_gemma":[0.9992365,0.00006715216,0.0001100955,0.0004194471,0.00006347509,0.0001033389],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0008033908,0.0006491418,0.04008912,0.000814904,0.0001106245,0.000002447792,0.008658939,0.005392191,0.0008322773,0.0008767966,0.1993306,0.7424396],"study_design_scores_gemma":[0.0004109464,0.00005504247,0.001817977,0.00001441649,0.000003983481,0.000002108933,0.0001104412,0.6822162,0.000685848,0.0006701844,0.3138784,0.0001345362],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"protocol","genre_scores_codex":[0.1034763,0.000002325012,0.4535307,0.001182424,0.0006156794,0.194171,0.000108143,0.0001214938,0.2467919],"genre_scores_gemma":[0.4076849,0.000006179383,0.1001238,0.0005340166,0.0001434755,0.4098053,0.0000685061,0.0000878023,0.08154603],"genre_candidate":"protocol","genre_consensus":null,"teacher_disagreement_score":0.742305,"threshold_uncertainty_score":0.9994985,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2066769569","doi":"10.5194/gmd-7-387-2014","title":"TopoSCALE v.1.0: downscaling gridded climate data in complex terrain","year":2014,"lang":"en","type":"article","venue":"Geoscientific model development","topic":"Climate variability and models","field":"Environmental Science","cited_by":174,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Carleton University","funders":"Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; National Science Foundation","keywords":"Downscaling; Terrain; Elevation (ballistics); Environmental science; Digital elevation model; Climate model; Grid; Forcing (mathematics); Interpolation (computer graphics); Meteorology; Orography; Precipitation; Climatology; Scale (ratio); Data set; Remote sensing; Geology; Climate change; Computer science; Geography; Geodesy","retraction":null,"screen_n_in":null,"score":{"opus":0.05954576302998265,"gpt":0.2665064198687248,"spread":0.2069606568387421,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003435076,0.0002238422,0.0002494396,0.0000944397,0.0003498025,0.0001168847,0.001048736,0.0000856863,0.001159517],"category_scores_gemma":[0.00007711969,0.0002126719,0.00003364522,0.0003452318,0.0002005296,0.0003646458,0.00199314,0.0001536569,0.00071358],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002417174,"about_ca_system_score_gemma":0.00004120729,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002835093,"about_ca_topic_score_gemma":0.001885351,"domain_scores_codex":[0.996822,0.00009644057,0.0006045349,0.001141754,0.0005727175,0.0007625276],"domain_scores_gemma":[0.9984046,0.00005103873,0.00009262959,0.001267496,0.00001015435,0.0001740419],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001404735,0.002193756,0.07454062,0.0003151146,0.00003259553,0.0000160172,0.01999674,0.6306756,0.06201271,0.002671518,0.02928232,0.1781225],"study_design_scores_gemma":[0.0003767423,0.000006272461,0.01932767,0.00002124934,0.000004653151,0.000002282335,0.00005682424,0.9394682,0.0002678819,0.001366651,0.03878191,0.0003196573],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8824136,0.00000432974,0.1035948,0.0003866391,0.0003481507,0.0004122336,0.0001148298,0.00009944365,0.01262606],"genre_scores_gemma":[0.9281197,0.000006538025,0.06970941,0.0004097389,0.00001771184,0.00003607407,0.0007900486,0.00001838859,0.000892375],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3087926,"threshold_uncertainty_score":0.9997535,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2999644459","doi":"10.5194/gmd-13-3299-2020","title":"Quantitative assessment of fire and vegetation properties in simulations with fire-enabled vegetation models from the Fire Model Intercomparison Project","year":2020,"lang":"en","type":"article","venue":"Geoscientific model development","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":170,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Environment and Climate Change Canada","funders":"Natural Environment Research Council; Sight Research UK","keywords":"Vegetation (pathology); Environmental science; Context (archaeology); Fire regime; Range (aeronautics); Climatology; Seasonality; Land cover; Fire history; Greenhouse gas; Physical geography; Ecosystem; Atmospheric sciences; Climate change; Land use; Geography; Ecology; Geology","retraction":null,"screen_n_in":null,"score":{"opus":0.05544019156213204,"gpt":0.2622459627440085,"spread":0.2068057711818764,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004695061,0.0002416934,0.0002981916,0.00004169577,0.0002539578,0.0001050197,0.0002726384,0.000062807,0.000008247949],"category_scores_gemma":[0.00004303838,0.0001677455,0.00002928285,0.0004734175,0.0001717768,0.0006703304,0.0001998177,0.0001684739,0.000009323378],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002576301,"about_ca_system_score_gemma":0.0002179669,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001206555,"about_ca_topic_score_gemma":0.002475677,"domain_scores_codex":[0.9976999,0.0001437595,0.0005578649,0.0006577377,0.0006577037,0.0002830994],"domain_scores_gemma":[0.9992733,0.0001025729,0.0002457083,0.000252093,0.00005240926,0.00007394589],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004788634,0.0001114537,0.008076689,0.00009712038,0.00002052024,8.748942e-7,0.02888459,0.9567051,0.003038233,0.0000523611,0.00009828921,0.00286686],"study_design_scores_gemma":[0.0004819181,0.00007145347,0.0216249,0.0002476271,0.00001818166,3.736384e-7,0.0005368376,0.9760423,0.0005106921,0.0002245982,0.00001736795,0.0002237069],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8941382,0.0001168862,0.103957,0.000248153,0.00005867598,0.001234085,0.00002235481,0.00003511229,0.0001896391],"genre_scores_gemma":[0.9626494,0.000007557985,0.03690733,0.00008640922,0.000004588486,0.000176774,0.00006848983,0.00002070953,0.00007875903],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06851125,"threshold_uncertainty_score":0.6840464,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2263936976","doi":"10.5194/gmd-9-283-2016","title":"The GEWEX LandFlux project: evaluation of model evaporation using tower-based and globally gridded forcing data","year":2016,"lang":"en","type":"article","venue":"Geoscientific model development","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":169,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"Lawrence Berkeley National Laboratory; Biological and Environmental Research; Natural Sciences and Engineering Research Council of Canada; Oak Ridge National Laboratory; King Abdullah University of Science and Technology; Microsoft Research; Canadian Foundation for Climate and Atmospheric Sciences; Natural Resources Canada; Université Laval; U.S. Department of Energy; National Science Foundation","keywords":"Environmental science; Forcing (mathematics); Range (aeronautics); Eddy covariance; Meteorology; Water cycle; Climate model; Energy balance; Scale (ratio); Climatology; Climate change; Geography; Geology","retraction":null,"screen_n_in":null,"score":{"opus":0.1154996748282166,"gpt":0.2966507177278901,"spread":0.1811510428996735,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002613499,0.00011274,0.00008876435,0.00004647875,0.0003610548,0.00008139048,0.0003461926,0.00004562863,0.00001741833],"category_scores_gemma":[0.00004802096,0.00006691689,0.00001490905,0.0001694344,0.0001240682,0.0003396269,0.000341443,0.00003426328,0.000005339947],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002598987,"about_ca_system_score_gemma":0.0003480503,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006691035,"about_ca_topic_score_gemma":0.0003560281,"domain_scores_codex":[0.9980992,0.00004728881,0.0003185754,0.0004191344,0.0008928036,0.0002229808],"domain_scores_gemma":[0.9992504,0.00002385738,0.0001502592,0.0004727104,0.00005939339,0.00004337201],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001999614,0.00004147157,0.002424188,0.000006682376,0.00001082504,2.399974e-7,0.0004056914,0.9292641,0.02152259,0.0001379761,0.000464101,0.04570217],"study_design_scores_gemma":[0.0003511188,0.000004204867,0.0007435802,0.00002817844,0.00002745217,0.000001478349,0.00001258953,0.9965799,0.0006931988,0.001086275,0.0003574424,0.0001145593],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6935271,0.00001824427,0.3053606,0.00007256882,0.00009596589,0.0003569276,0.00009191322,0.00001276494,0.000463867],"genre_scores_gemma":[0.9717742,0.00000827677,0.02724644,0.0000180548,0.000004294033,0.00002166784,0.0001488639,0.000007212141,0.0007709654],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2782471,"threshold_uncertainty_score":0.2776978,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2990127081","doi":"10.5194/gmd-13-2825-2020","title":"CLASSIC v1.0: the open-source community successor to the Canadian Land Surface Scheme (CLASS) and the Canadian Terrestrial Ecosystem Model (CTEM) – Part 1: Model framework and site-level performance","year":2020,"lang":"en","type":"article","venue":"Geoscientific model development","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":168,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Benchmarking; Benchmark (surveying); Computer science; Downscaling; Climate model; Land cover; Software development; Land use; Environmental resource management; Software; Environmental science; Climate change; Meteorology; Geography; Ecology; Engineering; Civil engineering; Precipitation; Cartography","retraction":null,"screen_n_in":null,"score":{"opus":0.0446907893806853,"gpt":0.2135187884792543,"spread":0.168827999098569,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.001989355,0.0003749614,0.0003079431,0.00001543069,0.005572983,0.0008718845,0.001711796,0.0001705061,0.00004635363],"category_scores_gemma":[0.00005604992,0.0002240276,0.00004329196,0.0003560414,0.0007341044,0.0002938383,0.001635019,0.0007592938,0.0001013614],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009641133,"about_ca_system_score_gemma":0.0006369951,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.3965417,"about_ca_topic_score_gemma":0.956492,"domain_scores_codex":[0.9971696,0.0002155203,0.0004455021,0.0006659232,0.0006518563,0.0008515626],"domain_scores_gemma":[0.9980417,0.00009202184,0.0001328221,0.0007734764,0.00001193502,0.000948043],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004941399,0.00001600891,0.01081233,0.0000100957,0.00001689345,9.83787e-7,0.009205664,0.9752867,0.00001273427,0.0001444023,0.002829394,0.0016154],"study_design_scores_gemma":[0.0005032335,0.0000129097,0.005023251,0.00002787529,0.00002002133,0.000004599304,0.0003821727,0.9625149,0.000007160486,0.0001459452,0.0310277,0.0003301771],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9485941,0.00003014492,0.03675485,0.01122769,0.0001878456,0.001385704,0.0001479373,0.00002548857,0.001646253],"genre_scores_gemma":[0.9688296,0.00003599581,0.02293445,0.004591665,0.00002498337,0.0001063996,0.00003824179,0.00003718091,0.003401527],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5599503,"threshold_uncertainty_score":0.9957216,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2084927143","doi":"10.5194/gmd-5-1195-2012","title":"A new marine ecosystem model for the University of Victoria Earth System Climate Model","year":2012,"lang":"en","type":"article","venue":"Geoscientific model development","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":163,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Victoria","funders":"University of Victoria","keywords":"Biogeochemical cycle; Biogeochemistry; Environmental science; Ecosystem; Phytoplankton; Zooplankton; Marine ecosystem; Climate model; Coupled model intercomparison project; Earth system science; Oceanography; Climate change; Ecosystem model; Climatology; Atmospheric sciences; Ecology; Geology; Nutrient; Biology","retraction":null,"screen_n_in":null,"score":{"opus":0.01864457998680382,"gpt":0.1762519181035891,"spread":0.1576073381167852,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001282781,0.0002196592,0.00029531,0.0001044426,0.0006316295,0.00006538845,0.0005167357,0.00008194785,0.000246078],"category_scores_gemma":[0.000007420659,0.0001675807,0.0001165192,0.0002256263,0.00002979635,0.00029842,0.0001608619,0.00008823713,0.0001709423],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003097799,"about_ca_system_score_gemma":0.0005072702,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008390057,"about_ca_topic_score_gemma":0.008801445,"domain_scores_codex":[0.9979898,0.00003400099,0.0004223661,0.0003847432,0.0004685009,0.0007005547],"domain_scores_gemma":[0.9988996,0.00004929569,0.0002093747,0.0004263303,0.000119908,0.0002954985],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001035133,0.00003007167,0.008451809,0.0004335074,0.00005044878,7.509574e-7,0.002296172,0.9544359,0.00002287407,0.002117107,0.003772999,0.0282848],"study_design_scores_gemma":[0.0003189303,0.00001034219,0.001951784,0.00003833541,0.00003553186,0.000004843653,0.0003617893,0.9818416,0.00003156998,0.0000646628,0.0151255,0.0002151782],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07377823,0.0001280834,0.9127747,0.00005012442,0.001360703,0.0008628066,0.0006550439,0.00009121026,0.01029905],"genre_scores_gemma":[0.9339451,0.00001875678,0.04280333,0.00001615145,0.00006439434,0.000003457179,0.0001994019,0.000008283177,0.02294116],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8699714,"threshold_uncertainty_score":0.6833742,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1785003470","doi":"10.5194/gmd-9-2563-2016","title":"Transient climate simulations of the deglaciation 21–9 thousand years beforepresent (version 1) – PMIP4 Core experiment design and boundary conditions","year":2016,"lang":"en","type":"article","venue":"Geoscientific model development","topic":"Geology and Paleoclimatology Research","field":"Earth and Planetary Sciences","cited_by":163,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Memorial University of Newfoundland; University of Toronto","funders":"British Antarctic Survey; Natural Environment Research Council; University of Leeds; Sight Research UK","keywords":"Deglaciation; Meltwater; Climatology; Ice sheet; Climate model; Forcing (mathematics); Paleoclimatology; Ice-sheet model; Climate change; Orbital forcing; Abrupt climate change; Ice core; Geology; Meteorology; Environmental science; Glacial period; Physical geography; Global warming; Effects of global warming; Cryosphere; Geography; Sea ice; Ice stream; Oceanography; Paleontology","retraction":null,"screen_n_in":null,"score":{"opus":0.03549137006345141,"gpt":0.2578956072473875,"spread":0.2224042371839361,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006496285,0.0001137461,0.000137979,0.0001227844,0.000696851,0.0000291629,0.0001961723,0.0000833165,0.0005207985],"category_scores_gemma":[0.00003029608,0.00006975584,0.00004009234,0.0001820269,0.0004737685,0.0001304892,0.00004985222,0.00007461767,0.00006418988],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008038333,"about_ca_system_score_gemma":0.0002271314,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001468143,"about_ca_topic_score_gemma":0.0003237433,"domain_scores_codex":[0.9985154,0.000125003,0.0002913569,0.0003415036,0.0003691428,0.000357571],"domain_scores_gemma":[0.9993103,0.0001738321,0.00009620027,0.0002440805,0.0000777388,0.00009781263],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006527622,0.00004962685,0.9558549,0.00001931422,0.00002461935,0.000002789959,0.001757379,0.03813155,0.001166856,0.0001340501,0.0005928119,0.002200851],"study_design_scores_gemma":[0.0005951125,0.00003488721,0.8781778,0.00005379299,0.00001754749,0.000012426,0.00009833918,0.1147628,0.003263325,0.001300661,0.001527792,0.0001555329],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9864688,0.0001278809,0.01178896,0.0003254202,0.000342883,0.000448375,0.0001631451,0.00001894276,0.0003155804],"genre_scores_gemma":[0.9954711,0.00004064565,0.003471541,0.00003530796,0.000005579951,0.000008149631,0.00009862069,0.000002859273,0.0008662177],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07767706,"threshold_uncertainty_score":0.5702379,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2049307092","doi":"10.5194/gmd-6-1061-2013","title":"Simulation of the microwave emission of multi-layered snowpacks using the Dense Media Radiative transfer theory: the DMRT-ML model","year":2013,"lang":"en","type":"article","venue":"Geoscientific model development","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":162,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"Université de Sherbrooke","funders":"Centre National de la Recherche Scientifique","keywords":"Snow; Snowpack; Radiative transfer; Geology; Arctic; Remote sensing; Brightness temperature; Environmental science; Atmospheric sciences; Microwave; Geomorphology; Physics; Oceanography; Optics","retraction":null,"screen_n_in":null,"score":{"opus":0.06102077344219751,"gpt":0.238894699655209,"spread":0.1778739262130115,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000839331,0.0001609618,0.0001753854,0.00002843187,0.0008071199,0.00004828359,0.0004277711,0.0000607252,0.0001503499],"category_scores_gemma":[0.0001205251,0.00007395553,0.00009518654,0.0004024925,0.0003204461,0.0001239753,0.00005383419,0.000125964,0.000007378118],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001739952,"about_ca_system_score_gemma":0.000256453,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000459761,"about_ca_topic_score_gemma":0.0008148824,"domain_scores_codex":[0.998395,0.0001225297,0.000438255,0.0002677468,0.0005025933,0.000273927],"domain_scores_gemma":[0.9987876,0.0003824658,0.0001453729,0.0003667565,0.0002630396,0.00005469431],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001230047,0.0000227847,0.003891367,0.000009249137,0.00002640812,5.599034e-8,0.01438076,0.9718998,0.001291789,0.00007589583,0.0001470728,0.008242492],"study_design_scores_gemma":[0.0001930008,0.000003869002,0.04434391,0.00002445951,0.00002443255,3.25042e-7,0.001961871,0.9507561,0.00123405,0.001227296,0.0001271377,0.0001035249],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6814129,0.0002347845,0.3172225,0.0002028032,0.0002956894,0.0004961289,0.00006609512,0.000007313191,0.00006177355],"genre_scores_gemma":[0.9902081,0.00001777332,0.008865428,0.0001212659,0.00001277457,0.000007326372,0.00002629409,0.000005112785,0.0007359606],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3087951,"threshold_uncertainty_score":0.6207795,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2130520941","doi":"10.5194/gmd-3-689-2010","title":"Modeling global atmospheric CO <sub>2</sub> with improved emission inventories and CO <sub>2</sub> production from the oxidation of other carbon species","year":2010,"lang":"en","type":"article","venue":"Geoscientific model development","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":152,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto; Environment and Climate Change Canada","funders":"Natural Sciences and Engineering Research Council of Canada; National Oceanic and Atmospheric Administration; National Aeronautics and Space Administration; California Institute of Technology; Jet Propulsion Laboratory; University of Toronto","keywords":"Chemical transport model; Environmental science; Atmospheric sciences; Chemistry; Troposphere; Environmental chemistry; Meteorology; Physics","retraction":null,"screen_n_in":null,"score":{"opus":0.008020444293750265,"gpt":0.1865499720499559,"spread":0.1785295277562056,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004708559,0.000328677,0.0002328393,0.000005309716,0.0004524804,0.00008626048,0.000285416,0.0001322362,0.00003090906],"category_scores_gemma":[0.00002483589,0.0002411384,0.00004121171,0.0003034042,0.0006452941,0.00028138,0.0002370558,0.0002070417,0.00001241056],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003378481,"about_ca_system_score_gemma":0.00008268166,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004223545,"about_ca_topic_score_gemma":0.0007934981,"domain_scores_codex":[0.9975679,0.00004143106,0.0004384759,0.0008113009,0.0007250615,0.0004158458],"domain_scores_gemma":[0.9991093,0.00001427037,0.0002202582,0.0004786672,0.00002359972,0.0001539574],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005935744,0.00009420718,0.03642666,0.00001072259,0.00002084978,6.029164e-7,0.001390118,0.1328215,0.8174195,0.00001058278,0.00009039214,0.01165547],"study_design_scores_gemma":[0.0002978855,0.00002874667,0.02006948,0.00003027233,0.00002973097,0.000004979158,0.0004257138,0.6650689,0.3131525,0.0002533426,0.0003011095,0.0003373856],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9416856,0.00002901448,0.05700751,0.00009185078,0.0003993954,0.0004861411,0.00001678614,0.00004844495,0.0002352623],"genre_scores_gemma":[0.9739716,0.00004056613,0.02540891,0.00005377085,0.00004259033,0.00004728953,0.00006027385,0.00002977174,0.0003452276],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5322474,"threshold_uncertainty_score":0.9833338,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2953702176","doi":"10.5194/gmd-12-4375-2019","title":"The Zero Emissions Commitment Model Intercomparison Project (ZECMIP) contribution to C4MIP: quantifying committed climate changes following zero carbon emissions","year":2019,"lang":"en","type":"article","venue":"Geoscientific model development","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":151,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Environment and Climate Change Canada; University of Victoria; Simon Fraser University; Concordia University; St. Francis Xavier University","funders":"Horizon 2020 Framework Programme; European Commission; Sight Research UK; Natural Environment Research Council; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; Met Office; U.S. Department of Energy; National Supercomputing Centre Singapore; Department for Environment, Food and Rural Affairs, UK Government; Centro Svizzero di Calcolo Scientifico; National Science Foundation","keywords":"Environmental science; Greenhouse gas; Climate change; Global warming; Atmosphere (unit); General Circulation Model; Limiting; Global temperature; Climatology; Atmospheric sciences; Meteorology; Physics; Engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.02926083157740905,"gpt":0.2660314746888115,"spread":0.2367706431114024,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.001594174,0.0004819647,0.0004116478,0.00004633867,0.001693225,0.0002100757,0.0008219366,0.0001565519,0.00005089223],"category_scores_gemma":[0.0000482772,0.0003670238,0.0001434304,0.000514253,0.0001608625,0.0001706215,0.001547461,0.0003320084,0.0002558051],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001450786,"about_ca_system_score_gemma":0.0001003159,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001754283,"about_ca_topic_score_gemma":0.0002503254,"domain_scores_codex":[0.9958843,0.0001304145,0.0006721673,0.001028087,0.001050718,0.001234318],"domain_scores_gemma":[0.9984264,0.00008811755,0.0002233772,0.0008630977,0.00002021913,0.0003788164],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001664865,0.0003184754,0.0341024,0.00002320389,0.00006030179,0.00000497906,0.004318536,0.9228107,0.02683821,0.0001478691,0.003374255,0.007834619],"study_design_scores_gemma":[0.0005191828,0.00005429892,0.005351287,0.0001238492,0.00003313546,0.000002712222,0.0005806969,0.9734194,0.001080949,0.0001473454,0.01813999,0.0005472076],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8112406,0.0000470801,0.1847697,0.0005540034,0.0008357265,0.00147166,0.00001781495,0.0001258683,0.0009375993],"genre_scores_gemma":[0.9554024,0.00003955613,0.03593453,0.000341228,0.000007610883,0.0002833216,0.00008198013,0.00005041947,0.007858912],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1488352,"threshold_uncertainty_score":0.9998782,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2190124010","doi":"10.5194/gmd-8-3621-2015","title":"Ice-sheet configuration in the CMIP5/PMIP3 Last Glacial Maximum experiments","year":2015,"lang":"en","type":"article","venue":"Geoscientific model development","topic":"Geology and Paleoclimatology Research","field":"Earth and Planetary Sciences","cited_by":149,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Memorial University of Newfoundland; University of Toronto","funders":"Japan Agency for Marine-Earth Science and Technology; Japan Society for the Promotion of Science; U.S. Department of Energy","keywords":"Ice sheet; Climatology; Geology; Coupled model intercomparison project; Last Glacial Maximum; Northern Hemisphere; Ice-sheet model; Antarctic ice sheet; Southern Hemisphere; Cryosphere; Elevation (ballistics); Glacial period; Ice shelf; Climate model; Atmospheric sciences; Climate change; Sea ice; Oceanography; Geomorphology","retraction":null,"screen_n_in":null,"score":{"opus":0.07556415509072718,"gpt":0.2761988679293551,"spread":0.2006347128386279,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002039572,0.00015295,0.0001606869,0.0001802472,0.0003615741,0.0001146076,0.0004973616,0.0001172989,0.0005825431],"category_scores_gemma":[0.00006015226,0.0001088212,0.00002706849,0.0003544099,0.0002174264,0.0001901678,0.00003259541,0.000217998,0.001596575],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007532096,"about_ca_system_score_gemma":0.0004639637,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001299196,"about_ca_topic_score_gemma":0.006768093,"domain_scores_codex":[0.9978644,0.0002238873,0.0003239486,0.0004233172,0.0006033152,0.0005611822],"domain_scores_gemma":[0.9993822,0.00006279864,0.0000605477,0.0002627899,0.00008464925,0.0001469953],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007195183,0.00006731035,0.9740271,0.000008967783,0.000009057562,0.00003663483,0.009087048,0.008700494,0.00001538649,0.0001868957,0.004170265,0.003618916],"study_design_scores_gemma":[0.00180226,0.0001005001,0.7881501,0.00002656698,0.00001008578,0.00008696126,0.003997669,0.170994,0.0006486725,0.005431971,0.02815419,0.0005970298],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9644488,0.0001668296,0.002073565,0.0005460835,0.0009693574,0.0003640792,0.00001424276,0.00002749173,0.0313896],"genre_scores_gemma":[0.9954776,0.000004980091,0.001849225,0.00032101,0.00002684541,0.00002014772,0.0003809987,0.000002376548,0.001916799],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.185877,"threshold_uncertainty_score":0.9991808,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2062093822","doi":"10.5194/gmd-7-2747-2014","title":"Modelling the role of fires in the terrestrial carbon balance by incorporating SPITFIRE into the global vegetation model ORCHIDEE – Part 1: simulating historical global burned area and fire regimes","year":2014,"lang":"en","type":"article","venue":"Geoscientific model development","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":148,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"Canadian Forest Service; U.S. Forest Service","keywords":"Biome; Environmental science; Vegetation (pathology); Boreal; Climatology; Taiga; Fire regime; Global change; Terrestrial ecosystem; Boreal ecosystem; Range (aeronautics); Carbon cycle; Physical geography; Ecosystem; Climate change; Atmospheric sciences; Geography; Ecology; Geology; Forestry; Oceanography","retraction":null,"screen_n_in":null,"score":{"opus":0.01101616695740828,"gpt":0.2006714925267346,"spread":0.1896553255693263,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002389782,0.0002644663,0.000262133,0.00001775933,0.0005676422,0.0001345612,0.0006735832,0.00009429632,0.000001660208],"category_scores_gemma":[0.0001488198,0.0001558865,0.00004983225,0.0004615371,0.0002213027,0.0001829778,0.0002989334,0.0001779877,0.000003439831],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009093704,"about_ca_system_score_gemma":0.00008796073,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006153777,"about_ca_topic_score_gemma":0.001005016,"domain_scores_codex":[0.9971179,0.0002955217,0.00065821,0.0006166233,0.0009058118,0.0004059555],"domain_scores_gemma":[0.998839,0.0001989702,0.0003739606,0.0004963184,0.00001883549,0.00007296933],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002366311,0.00004594318,0.01814638,0.00001698242,0.000006098453,5.917416e-7,0.004102303,0.9613408,0.0001426437,0.0001699286,0.0002285227,0.01577617],"study_design_scores_gemma":[0.000287504,0.00001954051,0.0008146737,0.00007570614,0.00001138378,0.000002459382,0.0001848037,0.9909045,0.00006055711,0.00685109,0.0005978248,0.0001899567],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9690958,0.0003650163,0.02803823,0.0003554198,0.0003050608,0.0006252742,0.000006778534,0.0000281024,0.001180297],"genre_scores_gemma":[0.9959835,0.000005292238,0.0037062,0.00006418163,0.00003504313,0.00008893629,0.00001675248,0.00001077865,0.00008927624],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02956373,"threshold_uncertainty_score":0.9302711,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2793999185","doi":"10.5194/gmd-11-2941-2018","title":"GEOS-Chem High Performance (GCHP v11-02c): a next-generation implementation of the GEOS-Chem chemical transport model for massively parallel applications","year":2018,"lang":"en","type":"article","venue":"Geoscientific model development","topic":"Atmospheric chemistry and aerosols","field":"Earth and Planetary Sciences","cited_by":148,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Dalhousie University","funders":"","keywords":"Scalability; Troposphere; Grid; Computer science; Massively parallel; Stratosphere; Earth system science; Usability; Aerospace engineering; Meteorology; Computational science; Environmental science; Database; Physics; Parallel computing","retraction":null,"screen_n_in":null,"score":{"opus":0.0430533679273239,"gpt":0.2360413756926123,"spread":0.1929880077652884,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003914888,0.0002357573,0.0002069186,0.00001556261,0.0006617399,0.00005969253,0.0004696483,0.0001087552,0.0003037676],"category_scores_gemma":[0.000006312846,0.0001877052,0.00008944446,0.0002890706,0.0002369538,0.0002266667,0.00003178464,0.0001024307,0.00002656487],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000035281,"about_ca_system_score_gemma":0.0005482481,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001197492,"about_ca_topic_score_gemma":0.0003309819,"domain_scores_codex":[0.9978499,0.00001126416,0.0005915746,0.0005966519,0.000490013,0.000460572],"domain_scores_gemma":[0.999003,0.00002054637,0.000255916,0.0003780155,0.0002190067,0.000123501],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002381714,0.0003484801,0.0322478,0.0005310677,0.0001686159,7.90226e-7,0.007696256,0.4523712,0.3472753,0.0006518735,0.005927656,0.1525429],"study_design_scores_gemma":[0.0004422272,0.00001509522,0.008588084,0.00001584373,0.00002720166,0.000002228834,0.0001156444,0.8347058,0.1540323,0.0002665923,0.00153185,0.0002571209],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.735305,0.0000207649,0.2632281,0.0001327598,0.0001601064,0.0006728144,0.0002682113,0.00002229904,0.0001898569],"genre_scores_gemma":[0.9124373,0.00001078604,0.08345307,0.0001121285,0.0001084375,0.000150225,0.001169916,0.000008149425,0.00254994],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3823346,"threshold_uncertainty_score":0.7654397,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2144896443","doi":"10.5194/gmd-7-981-2014","title":"Modelling methane emissions from natural wetlands by development and application of the TRIPLEX-GHG model","year":2014,"lang":"en","type":"article","venue":"Geoscientific model development","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":143,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Wetland; Methane; Environmental science; Ibis; Biosphere; Greenhouse gas; Biogeochemistry; Biogeochemical cycle; Atmospheric sciences; Hydrology (agriculture); Environmental engineering; Environmental chemistry; Ecology; Chemistry; Geology","retraction":null,"screen_n_in":null,"score":{"opus":0.008010622480693567,"gpt":0.186369448972376,"spread":0.1783588264916824,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004696288,0.0002484751,0.0002174043,0.00001302848,0.0004313186,0.00002917973,0.0004501465,0.00009600267,0.00003999534],"category_scores_gemma":[0.00001011498,0.0001842891,0.00004830009,0.0002026967,0.0002613053,0.0001315926,0.0005721839,0.0001597618,0.00002260289],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002470265,"about_ca_system_score_gemma":0.00005218443,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001479263,"about_ca_topic_score_gemma":0.00005540022,"domain_scores_codex":[0.9978195,0.00003616456,0.0004764896,0.0006539471,0.0006531985,0.000360708],"domain_scores_gemma":[0.9991817,0.00002670083,0.0001921506,0.000429608,0.000009021777,0.0001608188],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000009780045,0.00007172035,0.002661879,0.000006338775,0.00001078834,5.464448e-8,0.001370022,0.9587358,0.009083268,0.00006527342,0.0003418988,0.02764313],"study_design_scores_gemma":[0.0002688161,0.000003335344,0.001533637,0.00001359517,0.00001389955,6.898101e-7,0.00005842443,0.9855599,0.005091435,0.0009664735,0.006241615,0.0002481303],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4677834,0.00002784308,0.5315653,0.00004520514,0.00007552785,0.0001635114,0.000006820636,0.00001673622,0.0003155883],"genre_scores_gemma":[0.7317461,0.00001005236,0.2627726,0.0001078229,0.000004481733,0.00004420659,0.00005974036,0.00001653769,0.00523843],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2687928,"threshold_uncertainty_score":0.7515091,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1556908365","doi":"10.5194/gmd-8-1729-2015","title":"A large-scale simulation model to assess karstic groundwater recharge over Europe and the Mediterranean","year":2015,"lang":"en","type":"article","venue":"Geoscientific model development","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":139,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McGill University","funders":"Deutscher Akademischer Austauschdienst; Natural Environment Research Council; Sight Research UK","keywords":"Groundwater recharge; Karst; Hydrology (agriculture); Evapotranspiration; Depression-focused recharge; Environmental science; Groundwater; Surface runoff; Mediterranean climate; Precipitation; Aquifer; Geology; Geography; Ecology","retraction":null,"screen_n_in":null,"score":{"opus":0.0670862704254556,"gpt":0.2697261945479577,"spread":0.2026399241225021,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002072704,0.0001879778,0.0001759435,0.0000689209,0.0005195478,0.00009818304,0.0002818021,0.00004867284,0.00009642122],"category_scores_gemma":[0.00005735444,0.0001238291,0.0000242896,0.0002384824,0.0002309706,0.0002452103,0.0009454102,0.00009914946,0.0004549337],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001102569,"about_ca_system_score_gemma":0.00002211513,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002289607,"about_ca_topic_score_gemma":0.0001461001,"domain_scores_codex":[0.9980912,0.00008445669,0.000278179,0.0005684367,0.0005228119,0.0004549536],"domain_scores_gemma":[0.999408,0.00003427667,0.00005640206,0.0003011511,0.0000273037,0.0001728762],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000996876,0.00008723055,0.001899916,0.000008451861,0.000019295,0.000002946569,0.0262547,0.9587423,0.00007970084,0.0002508003,0.01181812,0.0007367982],"study_design_scores_gemma":[0.0008317464,0.00001149704,0.002076145,0.000006977436,0.00001912785,7.920584e-7,0.0001100781,0.9743047,0.00003729956,0.002132188,0.02027889,0.0001905277],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5262288,0.00001058588,0.4683747,0.0009254056,0.0003540585,0.0004442051,0.000005561915,0.0000468321,0.003609837],"genre_scores_gemma":[0.9707608,0.000004964827,0.009262146,0.00152072,0.00001607481,0.00008812491,0.00002034511,0.00001493719,0.01831191],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4591126,"threshold_uncertainty_score":0.5847405,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2289542121","doi":"10.5194/gmd-9-899-2016","title":"UManSysProp v1.0: an online and open-source facility for molecular property prediction and atmospheric aerosol calculations","year":2016,"lang":"en","type":"article","venue":"Geoscientific model development","topic":"Atmospheric chemistry and aerosols","field":"Earth and Planetary Sciences","cited_by":136,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"McGill University; Natural Environment Research Council; Sight Research UK; North Carolina State University","keywords":"Aerosol; JSON; Interface (matter); Upload; Computer science; License; Source code; Open source; Environmental science; Database; Meteorology; World Wide Web; Operating system; Software; Physics","retraction":null,"screen_n_in":null,"score":{"opus":0.0397407491564236,"gpt":0.2301450755083115,"spread":0.1904043263518879,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003891865,0.0001823961,0.0001737586,0.000003782107,0.0005661569,0.0002007189,0.0002313123,0.0000765045,0.0001636781],"category_scores_gemma":[0.00003686772,0.0001074544,0.00002206672,0.0001208452,0.0001754253,0.000425183,0.00007738301,0.0000526843,0.000009872514],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001566312,"about_ca_system_score_gemma":0.0001669614,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002033357,"about_ca_topic_score_gemma":0.0004108723,"domain_scores_codex":[0.9984194,0.00002938576,0.0003012211,0.0007017739,0.00022428,0.000323937],"domain_scores_gemma":[0.9993176,0.00002686693,0.00007517498,0.0002557045,0.00008237465,0.0002422046],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001656312,0.0002456456,0.06117228,0.0001634803,0.00005604801,0.000003963448,0.001550616,0.01935456,0.03234605,0.00002567949,0.0008062764,0.8841098],"study_design_scores_gemma":[0.001685977,0.0001345167,0.07228152,0.00009629569,0.0000367612,0.00002246679,0.0002462689,0.8853444,0.005975175,0.0003692846,0.03309533,0.0007119832],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7368734,0.00006468083,0.2614993,0.0001477046,0.00009338365,0.0005456984,0.0006478849,0.00004049044,0.00008742812],"genre_scores_gemma":[0.8956723,0.00001791217,0.09003501,0.00008693092,0.00001920645,0.00003371159,0.0007630645,0.000006045287,0.01336582],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8833978,"threshold_uncertainty_score":0.4381864,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2336250479","doi":"10.5194/gmd-9-3427-2016","title":"The CMIP6 Sea-Ice Model Intercomparison Project (SIMIP): understanding sea ice through climate-model simulations","year":2016,"lang":"en","type":"article","venue":"Geoscientific model development","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":135,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McGill University","funders":"Max-Planck-Gesellschaft; Natural Environment Research Council; Sight Research UK","keywords":"Coupled model intercomparison project; Sea ice; Climatology; Climate model; Environmental science; Meteorology; Climate change; Geology; Oceanography; Geography","retraction":null,"screen_n_in":null,"score":{"opus":0.08083785824198485,"gpt":0.2739662900944478,"spread":0.193128431852463,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.001073035,0.0003677919,0.0002799044,0.0001313246,0.002619125,0.0003506963,0.0006986809,0.0001246991,0.00009168554],"category_scores_gemma":[0.00006479261,0.0002211946,0.000104645,0.0004033069,0.0003565744,0.0007408426,0.0001629821,0.0002345285,0.00017538],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002030903,"about_ca_system_score_gemma":0.0009066401,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002744716,"about_ca_topic_score_gemma":0.004570577,"domain_scores_codex":[0.9964529,0.00007906784,0.0006756273,0.000820262,0.000859386,0.001112745],"domain_scores_gemma":[0.9985921,0.0003286209,0.0002206187,0.0005466836,0.0001370953,0.000174909],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00008393247,0.0000563247,0.01324705,0.00004179963,0.00004666987,0.000002584716,0.00445133,0.9671366,0.00003811232,0.004443575,0.003174549,0.007277504],"study_design_scores_gemma":[0.0003540913,0.00001583222,0.0006986139,0.00008607518,0.00002838245,0.000004543308,0.001058002,0.9838783,0.00002835751,0.01107266,0.002368938,0.0004061651],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1114896,0.00004571893,0.8797638,0.000911408,0.0006887297,0.0005190073,0.0005349761,0.0001318651,0.005914813],"genre_scores_gemma":[0.9468305,0.0001377549,0.04797088,0.0002964096,0.00003325135,0.00001030183,0.0002825229,0.00001657465,0.004421768],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8353409,"threshold_uncertainty_score":0.9986793,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2618402634","doi":"10.5194/gmd-11-2009-2018","title":"Soil Methanotrophy Model (MeMo v1.0): a process-based model to quantify global uptake of atmospheric methane by soil","year":2018,"lang":"en","type":"article","venue":"Geoscientific model development","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":130,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Okanagan University College; University of British Columbia, Okanagan Campus; University of British Columbia","funders":"Natural Environment Research Council; European Commission; Sight Research UK","keywords":"Sink (geography); Environmental science; Atmospheric sciences; Soil water; Atmospheric methane; Methane; Water content; Soil science; Hydrology (agriculture); Ecology; Geology","retraction":null,"screen_n_in":null,"score":{"opus":0.01574259687135489,"gpt":0.2466193680649062,"spread":0.2308767711935513,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008228938,0.0006704311,0.0006019311,0.00001700287,0.0004466304,0.00007399052,0.001151789,0.0002442096,0.0003975838],"category_scores_gemma":[0.00003770583,0.0006462419,0.0001791298,0.001199763,0.0008508507,0.0003307126,0.0006968548,0.0001954416,0.0004983989],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00106273,"about_ca_system_score_gemma":0.0004516619,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002310789,"about_ca_topic_score_gemma":0.0003413555,"domain_scores_codex":[0.9942719,0.00004815829,0.00104902,0.001637619,0.001760072,0.001233217],"domain_scores_gemma":[0.9980109,0.00001503944,0.000347407,0.00093363,0.00006563245,0.0006273934],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001224182,0.0004489532,0.0009054937,0.00003659298,0.00003004711,0.000001960264,0.001108566,0.9698561,0.01476502,0.00004869282,0.002362326,0.01031383],"study_design_scores_gemma":[0.0006165792,0.0000959803,0.0005015163,0.0000313308,0.0000449777,0.000002478717,0.0001091972,0.9861712,0.009499029,0.001282634,0.0009140714,0.000730989],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4863064,0.00002147694,0.5114984,0.00008053799,0.0001642072,0.0003649633,0.00007022349,0.00006905216,0.001424777],"genre_scores_gemma":[0.5740715,0.000005761312,0.4184365,0.0005619877,0.00001076133,0.000114003,0.00005156015,0.00004852058,0.006699388],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.09306186,"threshold_uncertainty_score":0.9995989,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2535143197","doi":"10.5194/gmd-10-1447-2017","title":"A new aerosol wet removal scheme for the Lagrangian particle model FLEXPART v10","year":2017,"lang":"en","type":"article","venue":"Geoscientific model development","topic":"Atmospheric aerosols and clouds","field":"Environmental Science","cited_by":127,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"Leibniz-Institut für Troposphärenforschung; Leibniz-Gemeinschaft; National Oceanic and Atmospheric Administration; NordForsk; Environment and Climate Change Canada; U.S. Department of Energy; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; National Science Foundation","keywords":"Aerosol; Scavenging; Ice nucleus; Atmospheric sciences; Environmental science; Meteorology; Liquid water content; Ice crystals; Particle (ecology); Nucleation; Chemistry; Cloud computing; Geology; Physics","retraction":null,"screen_n_in":null,"score":{"opus":0.03460353378218797,"gpt":0.2561782213496158,"spread":0.2215746875674278,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0007235076,0.0002510409,0.0001889213,0.000002060422,0.002623003,0.0004224729,0.001186124,0.00008501083,0.0005514448],"category_scores_gemma":[0.00005154988,0.0001821171,0.000116378,0.0001000884,0.0003041522,0.0003248539,0.0006578303,0.0001170052,0.0005105296],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001437299,"about_ca_system_score_gemma":0.0002040498,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002182131,"about_ca_topic_score_gemma":0.0004887869,"domain_scores_codex":[0.9975483,0.00001148289,0.0003573798,0.0007147148,0.0006244191,0.0007436692],"domain_scores_gemma":[0.9983326,0.00002362663,0.0001842881,0.001144581,0.00002470109,0.0002901653],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002220766,0.0004234597,0.007794014,0.00004237501,0.0001209491,0.00001486675,0.008884755,0.3778872,0.04886563,0.004038736,0.3471465,0.2045594],"study_design_scores_gemma":[0.000533974,0.00001166492,0.002046202,0.00001124912,0.00001731573,0.000003749103,0.00007008858,0.9426391,0.004133826,0.0007388251,0.0494812,0.0003127838],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3593612,0.00004396269,0.6341206,0.001337025,0.0005185776,0.0006456354,0.0000152247,0.00006526157,0.003892524],"genre_scores_gemma":[0.523833,0.000009225722,0.3207546,0.0004016833,0.00005265807,0.000163879,0.00001090763,0.00003028156,0.1547437],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.5647519,"threshold_uncertainty_score":0.9986755,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2303599643","doi":"10.5194/gmd-9-3321-2016","title":"A new stepwise carbon cycle data assimilation system using multiple data streams to constrain the simulated land surface carbon cycle","year":2016,"lang":"en","type":"article","venue":"Geoscientific model development","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":125,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"FP7 Space; Lawrence Berkeley National Laboratory; Canadian Foundation for Climate and Atmospheric Sciences; Oak Ridge National Laboratory; Biological and Environmental Research; Natural Sciences and Engineering Research Council of Canada; Microsoft Research; Natural Resources Canada; Université Laval; Seventh Framework Programme; U.S. Department of Energy; National Science Foundation","keywords":"Environmental science; Data assimilation; Carbon cycle; Biogeochemical cycle; Moderate-resolution imaging spectroradiometer; Normalized Difference Vegetation Index; Boreal; Climatology; Terrestrial ecosystem; Greenhouse gas; Atmospheric sciences; Remote sensing; Ecosystem; Leaf area index; Satellite; Meteorology; Ecology; Geology","retraction":null,"screen_n_in":null,"score":{"opus":0.03865865683424839,"gpt":0.2369787860369037,"spread":0.1983201292026553,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009500079,0.0003115869,0.000232021,0.00001476419,0.0003732938,0.0001049602,0.001555659,0.0001017549,0.0000766479],"category_scores_gemma":[0.00004124078,0.0002076563,0.00002351472,0.000331323,0.0001988994,0.0003415217,0.002762245,0.0001031768,0.0000658603],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008446277,"about_ca_system_score_gemma":0.0001525304,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004862641,"about_ca_topic_score_gemma":0.001413261,"domain_scores_codex":[0.996718,0.00008130712,0.0004958019,0.001281806,0.0008120759,0.0006109623],"domain_scores_gemma":[0.9972525,0.0000714482,0.0001713246,0.002180813,0.00000919267,0.0003146707],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002226528,0.00004570909,0.02944105,0.000007553116,0.00002020814,0.000005750921,0.0004823341,0.9402381,0.003724378,0.000002297388,0.0001476818,0.02586272],"study_design_scores_gemma":[0.0005191349,0.000007982906,0.00606226,0.00006481408,0.00003032766,0.000007155298,0.0002113508,0.9914926,0.0001305022,0.00001746728,0.001116557,0.0003398618],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7717559,0.00001532681,0.2264966,0.000123896,0.0003225601,0.0005523526,0.0001574166,0.00007735453,0.0004986675],"genre_scores_gemma":[0.9196389,0.000004274063,0.07821047,0.00004691344,0.00002128178,0.000003797237,0.0001778588,0.00003484292,0.001861692],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1482861,"threshold_uncertainty_score":0.8467979,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2143077373","doi":"10.5194/gmd-6-1337-2013","title":"A one-dimensional model intercomparison study of thermal regime of a shallow, turbid midlatitude lake","year":2013,"lang":"en","type":"article","venue":"Geoscientific model development","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":124,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Université du Québec à Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Helsingin Yliopisto; Russian Foundation for Basic Research; Canadian Foundation for Climate and Atmospheric Sciences; Ministère du Développement Économique, de l’Innovation et de l’Exportation; Mitacs","keywords":"Eddy covariance; Environmental science; Stratification (seeds); Middle latitudes; Atmospheric sciences; Water column; Flux (metallurgy); Climatology; Thermal stratification; Bowen ratio; Turbulence; Sensible heat; Meteorology; Geology; Ecosystem; Geography; Oceanography","retraction":null,"screen_n_in":null,"score":{"opus":0.02767811026911473,"gpt":0.224445678715655,"spread":0.1967675684465403,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005078093,0.0001973049,0.0003306032,0.0001151121,0.000196085,0.00001685246,0.0004240194,0.00005803133,0.0006752544],"category_scores_gemma":[0.000010126,0.000172782,0.00005432652,0.0001948608,0.0002692729,0.0002147885,0.0009369649,0.0001082208,0.0002515292],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000588024,"about_ca_system_score_gemma":0.00002708356,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002584044,"about_ca_topic_score_gemma":0.00141692,"domain_scores_codex":[0.9978395,0.00004882631,0.0005718992,0.0005407929,0.0006325026,0.0003664962],"domain_scores_gemma":[0.9992891,0.00001743662,0.0001922506,0.0003870635,0.00003714424,0.0000769994],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00006257441,0.002789297,0.05813191,0.00004515481,0.000208612,0.000002023194,0.01854208,0.8986156,0.01503977,0.00007490499,0.004515305,0.001972768],"study_design_scores_gemma":[0.000836554,0.00009903482,0.1632347,0.00003544025,0.0000469145,4.094992e-7,0.0003409143,0.8320705,0.002189035,0.000625045,0.000213145,0.0003083039],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9913253,0.00001018845,0.004342401,0.0001406708,0.000117394,0.0007077324,0.000005490439,0.00002828675,0.0033226],"genre_scores_gemma":[0.9812275,0.000001287128,0.01362315,0.0000782412,0.000003287764,0.0001186205,0.00001386803,0.00001112447,0.004922975],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1051028,"threshold_uncertainty_score":0.7393563,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}